Miracle-dz/UniFAR-FTUs huggingface dataset:
T RANSFORMING THE P UBLIC S ECTOR IN I NDONESIA : D ELIVERING T OTAL R EFORMASI

: After the economic crisis and subsequent political transition, culminating in the fall of President Soeharto, Indonesia embarked on an era reformasi. This resulted in a rapid process of democratization and decentralization. Over a decade later, Indonesia has emerged economically strong and remarkably stable in political terms. However, enhancing the effectiveness of government institutions, and in particular the bureaucracy, has emerged as one of the critical development constraints. Nonetheless, this belies the considerable efforts that have been made to reform organizational and HR policies and practices. Through the interaction of people, institutions and technology (ICT), we examine Indonesia’s process of moving from a ‘command and control’ paradigm to one that is more balanced and consistent with ‘devolution and transparency’ and ‘quasi-market’ relationships. This paper considers the Indonesia case with the aim of drawing lessons, enablers and impediments for public sector reforms in emerging economies. We observe that Indonesia might ‘reform the reformers’ to better link performance and accountability frameworks to results. Drawing from the Indonesia example, we posit that emerging countries might better align their pursuit of internal efficiencies with social and political accountability measures and usefulness thereof of reforms to citizens through diffusion of newer technologies and government process transformation efforts.
Endocrine disorders in children with neurofibromatosis type 1: What to look for?

Neurofibromatosis type 1 (NF1) is one of the most common genetic disorders, with a reported incidence of 1:3000. The condition is multisystemic, and diagnostic criteria have been recently revised as an international consensus recommendation. The clinical features evolve slowly and progressively and may often be absent in early childhood. Disorders of growth and endocrine conditions, although described for several decades in these children, are not included in the diagnostic criteria. However, they are relatively frequent and may be the presenting feature of optic pathway glioma. Due to its wide spectrum of health implications, children with NF1 are often followed at Pediatric consultation. The aim of this article is to review the most frequent endocrine disorders in NF1 patients, what to look for, and when to refer patients to pediatric Endocrinology consultation.
Influence of temperature on electrical conductivity on shaly sands

In boreholes, temperatures vary and to extract hydrocarbon saturation from conductivity measurements, the influence of temperature on water and rock conductivities must be accounted for. The mobility (μDL) of the counter‐ions due to clays and the electrical conductivity of pore‐filling brine show large changes with variation in temperature, whereas the microgeometry of the pore space exhibits negligible change. Using this idea, the temperature dependence of μDL is extracted using data on dc electrical conductivity of shaly sands (σ) containing varying amounts of clay. The mobility of Na+ counter‐ions is found to vary approximately linearly with temperature. This explicit relationship is tested by comparing the predicted temperature dependence against the measured temperature dependence of conductivity of a set of rocks with high and low clay content. While the rock conductivity shows a large temperature dependence, the resistivity index is less sensitive to temperature. An approximate formula, which is su.
Dependencies

Graph diﬀerential dependencies (GDDs) are a novel class of integrity constraints in property graphs for capturing and expressing the semantics of diﬀerence in graph data. They are more expressive, and subsume other graph dependencies; and thus, are more useful for addressing many real-world graph data quality/management problems. In this paper, we study the general discovery problem for GDDs – the task of ﬁnding a non-redundant and succinct set of GDDs that hold in a given property graph. Indeed, we present characterisations of GDDs based on their semantics, extend existing data structures, and device pruning strategies to enable our proposed level-wise discovery algorithm, GDDMiner , returns a minimal cover of valid GDDs eﬃciently. Further, we perform experiments over three real-world graphs to demonstrate the feasibility, scalability, and eﬀectiveness of our solution.
GlueStick: Robust Image Matching by Sticking Points and Lines Together

Line segments are powerful features complementary to points. They offer structural cues, robust to drastic view-point and illumination changes, and can be present even in texture-less areas. However, describing and matching them is more challenging compared to points due to partial occlusions, lack of texture, or repetitiveness. This paper introduces a new matching paradigm, where points, lines, and their descriptors are unified into a single wireframe structure. We propose GlueStick, a deep matching Graph Neural Network (GNN) that takes two wireframes from different images and leverages the connectivity information be-tween nodes to better glue them together. In addition to the increased efficiency brought by the joint matching, we also demonstrate a large boost of performance when leveraging the complementary nature of these two features in a single architecture. We show that our matching strategy outperforms the state-of-the-art approaches independently matching line segments and points for a wide variety of datasets and tasks. The code is available at https: //github.com/cvg/GlueStick .
URBAN FLOOD HAZARD ZONATION USING GIS AND FUZZY-AHP ANALYSIS (CASE STUDY: TEHRAN CITY)

Accelerated process of urbanization and global warming make urban flood one of the most important issues in urban planning. Tehran recently has been affected by the flooding and its damages. High intensity rainfall and uncontrolled urban development and main inefficient networks of drainage system are the main reasons. This research uses an efficient approach for flood hazard assessment in Tehran city. This study is to develop an urban flood hazard zonation based on multi-criteria decision analysis and GIS. This model was developed using the following five criteria: distance to the drainage network, flow accumulation, slope, height, and built or not built land areas. Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method as one of the most efficient multi-criteria decision-making systems was used for this study. The final hazard map obtained using the weights of criteria and each of their classes in GIS. Urban flood hazard maps indicate that the waterways and their privacy and central to the southern city area have the highest potential of overflowing and flood rise. Introduction Flood is one of the most destructive natural hazards that offset its effects; especially in areas where there are aspects of human development, such as cities, it can impose high financial damages. Urban development, especially along the rivers has increased the flood damage in recent decades. Thus, knowledge about the risk of different areas and attention to urban flood management as one of the major themes in addressing urban issues, with an emphasis on the urban environment, is important consideration for urban planning and policy makings. Flood hazard maps can be used as an effective tool in planning for future development of the city and also identification of the areas where infrastructure development is required for flood drainage. In this study, Tehran, as the capital of Iran that is in danger of flooding, has been studied. Materials and Methods Precedures of this study are presented in Figure 1, which includes provision of primary data, preparing them in GIS, multi-criteria decision analysis and mapping of flood hazard. Fig.1. Flowchart of research procedure Corresponding Author: Tel: 09124337661 E-mail: yusefrafii@ut.ac. ir Ar ch ive of SI D
A Future Outlook of Power Devices From the Viewpoint of Power Electronics Trends

A outlook for power devices is discussed from the perspectives of power device and power electronics application trends. The driving force of the power device business has changed from home appliances and industrial robots to electric vehicles (EV), and the most important trend has been the increase in power density in power modules by power loss reduction, high-temperature operation, and thermal resistance reduction. In the future, it can be expected that inverter-based resources and power supply integrated circuits (ICs) will be new driving forces for green transformation (GX) and digital transformation (DX). To continue the increasing power density trend of power modules, wide bandgap power devices are attractive. However, economic parameters, such as “cost/power,” must be improved for wide installation in power grids with large volumes. In addition, it can be expected that hetero integration into power modules and GaN power ICs will be a new demand.
Multi-source multi-receiver microseismic reflection imaging: case study Basel

SUMMARY In this paper Microseismic Reflection Imaging (MRI) approach is applied to the high quality microseismic data from the stimulation of Enhanced Geothermal System (EGS) at Basel. Microseismic waveforms recorded at a number of downhole stations are analysed and the presence of reflections is revealed. The MRI approach is applied to the data recorded at two different borehole instruments: 2.5 km and 4.3 km away from the injection interval. The results complement each other and represent the detailed high resolution fracture map of the reservoir in the vicinity of the microseismic cloud. In addition to the standard sections of the images, the 3D structure of the first order cracks is shown. A possible joint interpretation of the obtained images and the event location is presented.
DOM-Based Clustering Approach for Web Page Segmentation: A Comparative Study

: Web page segmentation plays a crucial role in analyzing and understanding the content of web pages, enabling various web-related tasks. The approaches based on computer vision and machine learning have limitations determined by the need of large datasets for training and validation. In this paper, we propose a Document Object Model (DOM) based approach that uses clustering algorithms for web page segmentation. By leveraging the hierarchical structure of the DOM, our approach aims to achieve accurate and reliable segmentation results. We conduct an empirical study, using a custom built dataset to compare the performance of different clustering algorithms for web segmentation. Our research objectives focus on dataset creation, features identiﬁcation, distance metrics deﬁnition, and appropriate clustering algorithms selection. The ﬁndings provide insights into the effectiveness and limitations of our approach, enabling informed decision-making in real-world applications.
Towards Digital Transformation: Knowledge Management as an Enabler in a Public Sector Asset Lifecycle

: Organisations often have visions of implementing advanced digital technologies, such as digital twins, regardless of whether the organisations are mature enough for these technologies. It is a common misconception that implementing advanced technologies will automatically lead to digital transformation and solve organisational challenges, such as disruptions in information flows or the inability to learn from recurring mistakes. The reality is, however, the contrary: emerging advanced technologies and digital transformation demand first and foremost reliable, high-quality data and the ability to use them. Therefore, organisations with inadequate information processes need to pay attention to their knowledge management (KM). In this paper, we demonstrate how KM is an enabler of digital transformation. A case study of a public sector asset lifecycle was conducted. Data were collected by interviewing 26 people representing the focal case organisation and its stakeholders. The results highlight the importance of organised KM for digital transformation. We identify enablers of digital transformation from the KM perspective.
Stereo Video Camera Calibration in the Wild

: Although a number of robust stereo camera calibration algorithms exist in the literature, a common assumption of these algorithms is a representative set of calibration images containing a planar calibration target of known geometry. For stereo-video applications, it is a common practice to obtain a large number of stereo image pairs for the stereo calibration process. How should an optimal set of stereo-video calibration images be chosen when controlled camera positioning is difficult or impossible? Here we demonstrate how a greedy RANdom SAmple Consensus (RanSaC)-based approach can be used to choose the appropriate calibration image set for improved stereo camera calibration. This paper describes the performance of a greedy, RanSaC approach which is compared against a random frames selection approach. Performance is measured through mean calibration reprojection error. Evaluation on real world stereo video calibration data-sets collected in the underwater environment illustrates the effectiveness of the proposed approach.
A Bug's New Life: Creating Refute Questions from Filtered CS1 Student Code Snapshots

In an introductory programming (CS1) context, a Refute question asks students for a counter-example which proves that a given code fragment is an incorrect solution for a given task. Such a question can be used as an assessment item to (formatively) develop or (summatively) demonstrate a student's abilities to comprehend the task and the code well enough to recognize a mismatch. These abilities assume greater significance with the emergence of generative AI technologies capable of writing code that is plausible (at least to novice programmers) but not always correct. Instructors must address three concerns while designing an effective Refute question, each influenced by their specific teaching-learning context: (1) Is the task comprehensible? (2) Is the incorrect code a plausible solution for the task? (3) Is the complexity of finding a counter-example acceptable? While the first concern can often be addressed by reusing tasks from previous code writing questions, addressing the latter concerns may require substantial instructor effort. We therefore investigate whether concerns (2) and (3) can be addressed by buggy student solutions for the corresponding code writing question from a previous course offering. For 6 code writing questions (from a Fall 2015 C programming course), our automated evaluation system logged 13,847 snapshots of executable student code, of which 10,574 were buggy (i.e., they failed at least one instructor-supplied test case). Code selected randomly from this pool rarely addresses these concerns, and manual selection is infeasible. Our paper makes three contributions. First, we propose an automated mechanism to filter this pool to a more manageable number of snapshots from which appropriate code can be selected manually. Second, we evaluate our semi-automated mechanism with respect to concerns (2) and (3) by surveying a diverse set of 56 experienced participants (instructors, tutors, and teaching assistants). Third, we use this mechanism to seed a public repository of Refute questions and provide a template to create additional questions using a public resource (CodeCheck).
Empowering the Next Generation of Computational Thinkers

Over the past ten years, global efforts have promoted computational thinking in K-12 computer science education. With the increasing prevalence of machine learning and artificial intelligence, there is a pressing need to broaden the scope of computational thinking to enable students to become competent, creative, and critical learners. Future digital literacies should encompass an appreciation of the distinctions between machine and human thinking, an awareness of the social aspects of data production, and an understanding of the values, biases, and historical contexts embedded within digital technologies. This opens up new possibilities for teachers and schools to guide students in actively shaping their digital destinies.
Clinical Profile of Esophageal Varices among Children with Chronic Liver Disease; a Tertiary Care Hospital Experience in Dhaka, Bangladesh

: Background: Chronic liver disease (CLD) in children is a complex condition, including various liver pathologies like NAFLD, autoimmune liver diseases, viral hepatitis, and metabolic disorders. Esophageal varices, dilated veins in the esophagus, are a severe complication, indicating advanced liver disease and an elevated risk of life-threatening bleeding. They are present in a significant percentage of children with CLD, with varying rates in different studies. Portal hypertension is the root cause of variceal formation, stemming from liver fibrosis and cirrhosis. Risk factors for varices in children include underlying liver disease, fibrosis extent, duration of illness, and genetic factors. Timely detection is crucial to prevent serious complications, but pediatric-specific data and research are limited compared to adults.
Influence of length and diameter shoot growth in Pinus pinea L. flowering

El objetivo de este trabajo fue determinar la influencia de la longitud y diámetro de brotes vegetativos apicales en la floración femenina y verificar la presencia de policlismo en una plantación de Pinus pinea de la zona central de Chile. El experimento fue realizado en una plantación de 16 años de seis procedencias europeas, ubicada en la comuna de Casablanca, región de Valparaíso. Se seleccionaron aleatoriamente seis árboles por procedencia y de cada uno se eligió dos ramas secundarias, generando un total de 72 ramas. Se realizaron 13 mediciones mensuales, entre septiembre del 2010 y noviembre del 2011, evaluando la longitud (cm) y diámetro (mm) de los brotes apicales de la temporada 2010 y 2011. En la última medición se determinó el destino del brote recientemente formado: reproductivo o vegetativo. Los resultados muestran que la la producción de estróbilos femeninos no estuvo relacionada a la longitud de los brotes de los años 2010 y 2011 pero sí con el diámetro de los mismos, encontrándose que a mayor diámetro se incrementan las posibilidades de producir flores femeninas. El 1,38% de las ramas estudiadas presentó un segundo crecimiento en verano (policiclismo), indicando por lo tanto una baja incidencia de este fenómeno en P. pinea en el sitio estudiado.
ActualizaciÛn en diagnÛstico y manejo de las demencias. Aportes pr·cticos en nuestro contexto Updating the Diagnosis and Management of Dementia. Practical Contributions in our Context

Como citar este articulo: Romero-Cabrera A, Fernandez-Casteleiro E, Lopez-Arguelles J, Suz-Pina J, Cordero-Jimenez J. Actualizacion en diagnostico y manejo de las demencias. Aportes practicos en nuestro contexto. Revista Finlay [revista en I n t e r n e t ] . 2 0 1 2 [ c i t a d o 2 0 1 6 A b r 1 7 ] ; 2 ( 1 ) : [ a p r o x . 1 2 p . ] . D i s p o n i b l e e n : http: / /www.revf in lay.s ld.cu/ index.php/f in lay/art ic le/v iew/76
Wetland coleoptera of the Faroe Islands

Records of aquatic beetles and related species (Coleoptera: Haliplidae, Dytiscidae, Hydrophiloidea, Scirtidae) of the Faroe Islands are critically re-examined. New data are supplied that extend knowledge of the habitats of these species without adding further species. The fauna is discussed with respect to its isolated status.
Rh-Sr Geochronology of Lower Penman plutonism in Massiccio dei Laghi, Southern Alps (NW Italy)

Based on Rh-Sr whole· rock isochrons.nd Rh-Sr biotiu~ determinatiOl1$, the complacemcont agco of the Momorfano, B.veno-Mollarone and Pell. imrosives is 2H·280 Ma. The: Quama, Roocapicotra granites and Sacromomco di Briuago, Pcdemorlle, M. Zuccaro, Quan. and Valsesi. calcalkaline imermcdille·mafic rocb, which lie mill or near the Coss.tc>MC'rBozm-Briuago (CMB) lineament, give significamly )OWlgC'l" Rh-Sr bioQtco ages. 1bese biotite dates are~ • result cl the: postPermian reactivation of this f.ult. 11lC' initial Sr isotopic; ratios of the granitic bodies, around 0.7100, lUCO gconera1ly higher than those of the appinites, which an: between 0.7051 and 0.7l0J, As regards the protholith of the parent:al magmas, the two series of Sr.isotopic values do not permit . n univocal intcorpretation. The suggested hypotheses ate: a) a heterogcneow anomafuecl mantlco; bl. «normal» m.ntle, with later comamination by crustal m.terial: or c). lower cruu.
Ozone et transport dans la haute troposphère tropicale de l'océan Indien et de l'Asie du Sud : apport des données spatiales (IASI) et de la modélisation

Afin de mieux comprendre les processus responsables de la distribution de l’ozone (O3) dans la haute troposphere (UT) tropicale, cette these etudie differents aspects du transport de la pollution depuis les regions sources jusque dans l'UT. La premiere etude repose sur les observations spatiales IASI qui identifient un evenement de transport de masses d’air enrichies en O3 dans l'UT depuis l’Afrique vers l’Inde. Pour la saison de pre-mousson de tels enrichissement d’O3 dans l'UT au-dessus de l’Ocean Indien sont essentiellement attribues a des intrusions stratospheriques. Afin de determiner son origine des simulations ont ete effectuees permettant d'exclure une origine stratospherique et montrent l’impact preponderant des NOx produit par les eclairs (LiNOx) en Afrique pour expliquer cet enrichissement d’O3. Cette etude pourra etre etendue a d'autres saisons, pour consolider les conclusions obtenues dans le cadre du projet INDOEX. La deuxieme partie porte sur l'etude de l’impact d’un systeme convectif tres profond sur la composition de l'UT pendant la mousson asiatique d’ete. La simulation avec un traceur passif montre la capacite du systeme situe le long de l’Himalaya centrale a soulever des masses d’air polluees jusqu’a 100 hPa, altitudes auxquelles la pollution est transportee rapidement par la circulation de l’anticyclone de la mousson asiatique. Confirmant le conduit privilegie de transport vers l’UTLS identifie par Bergman et al. 2013. Cependant l'activation du schema chimique montre une surestimation des LiNOx produites, un ajustement de leur parametrisation devra etre effectue ainsi que des simulations de sensibilite pour correctement quantifier la production d’O3. Ce travail prend place dans des problematiques actuellement au centre d'une collaboration internationale, ACAM (Atmospheric Composition and the Asian Monsoon) visant a etudier les interactions complexes de la mousson asiatique d'ete entre dynamique et chimie, jusqu'a l'echelle du changement climatique.
Numerically Stable Centered Error Entropy and Mixture Minimum Error Entropy Estimators for Bearings-Only Target Tracking Problem

This letter focuses on tracking a moving target using only bearing measurements obtained by a moving observer, commonly termed bearings-only tracking (BOT) or target motion analysis (TMA). The accuracy of popular nonlinear state estimators, such as the unscented Kalman filter (UKF), is affected by non-Gaussian noises in the measurements and uncertainties in the observer path. To address this, maximum correntropy (MC) and minimum error entropy (MEE) criteria have been recently reported in the literature. Even though the MEE criteria have the potential to produce more accurate estimates, the estimation framework tends to become unstable. Hence, to deal with the complexities of noise in the model and the instability in numerical computations, a robust mixture MEE (MMEE) with UKF is proposed in this letter. In addition to MMEE, a robust centered error entropy-based estimator (RCEE) is also proposed. The RCEE-UKF and MMEE-UKF methods are compared with MEE-UKF and MC-UKF estimators through simulations, and it is found that the RCEE-UKF provides the best estimation accuracy.