Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating Monetary Transmission Mechanism in Indonesia Through Exchange Rate Channel

Abstract:This study aims to evaluate the role of exchange rate channel in transmitting mone­tary policy effects in Indonesia by addressing the following questions: (i) to what extent is the contribution of the exchange rate in inflation rate fluctuations in Indonesia? (ii) What are the effects of exchange rate channel in explaining the direct pass through effect in Indonesia; and (iii) can the exchange rate channel explain the trade competitiveness in Indonesia? The study utilizes monthly data spanning from January 1990 to April 2009 and is divided into four sub-periods, namely (i) pre-crisis period: January 1990-July 1997; (ii) crisis period: August 1997-December 2000; (iii) post-crisis period: January 2001-June 2005; and (iv) post-ITF period: July 2005-April 2009. By adopting the standard Vector Autoregression model, the study finds changing nature of the exchange rate channel during the various sub-periods of the study. Abstrak: Studi ini bertujuan mengevaluasi peran saluran nilai tukar dalam mentrans­misi­kan efek kebijakan moneter di Indonesia dengan mengatasi pertanyaan berikut: (i) sampai sejauh mana kontribusi dari nilai tukar fluktuasi tingkat inflasi di Indonesia? (ii) Apa efek dari saluran nilai tukar dalam menjelaskan lulus langsung melalui efek di Indonesia; dan (iii) Dapat­kah saluran nilai tukar menjelaskan daya saing perdagangan di Indonesia? Studi ini menggunakan data bulanan mulai dari Januari 1990 sampai April 2009 dan dibagi menjadi empat sub-periode, yaitu (i) periode pra-krisis: Januari 1990-Juli 1997; (Ii) masa krisis: Agustus 1997-Desember 2000; (Iii) periode pasca-krisis: Januari 2001-Juni 2005; dan (iv) pasca-ITF periode: Juli 2005-April 2009. Dengan mengadopsi model Vector Autoregression standar, studi ini menemukan perubahan sifat saluran nilai tukar selama berbagai sub-periode studi.
The PROMPT model: Use and application for children with mixed phonological-motor impairment

PROMPT (Prompts for Restructuring Oral Muscular Phonetic Targets) a tactually grounded, sensori-motor, cognitive-linguistic treatment model is explored as a philosophy, approach, system and technique. The PROMPT Conceptual Framework and the Motor-Speech Hierarchy are described as frameworks for both assessment and treatment that help clinicians develop a holistic communication focus for treatment, while embedding motor, language and social interaction goals. The role of technique and tactual systems in PROMPT are explained with relevance to their use and application with children who have moderate to severe mixed phonological and motor impairment. General assessment guidelines and priorities for treatment, with one case study are discussed.
VARIATION OF GEOTECHNICAL PARAMETERS IN THE MIXTURE OF CRUSHED AND ROUNDED GRAVELS IN THE NORTH WEST REGION OF CAMEROON BY THE WEIGHT MASS METHOD

We study the geotechnical parameters (void ratio and hydraulic conductivity) of two types of mixtures of particles (crushed gravel and rounded gravel), and determine the porosity n (or the void ratio e) along with the permeability or hydraulic conductivity by the weight mass method. A progressive evolution of the void ratio of the three Yamb Emmanuel, Bahel Benjamin and Bock Hyeng Christian Alain 2 granular classes is established starting with completely crushed gravel to the fully rounded gravel. We establish a dependency of the void ratio in function of the size range for each grain size. The study of the permeability or the hydraulic conductivity enables to see a decrease in the evolution of the permeability of different granular classes in function of the shape of the grains. Fully crushed gravels have a higher permeability. We rely on the fact that the values of permeabilities do not follow that of the void ratio and we have established a difference between porosity and drainage which is a function of the stack and grain shape. And then we have established a relationship between the measured values and the predictive values of Chapuis [4].
Pilot Study of Parent Psychophysiologic Outcomes in Pediatric Hematopoietic Stem Cell Transplantation

Background: Parents of children undergoing hematopoietic stem cell transplantation (HSCT) are at risk for psychological distress. This distress may result in aberrant immune, inflammatory, or endocrine effects. These physiologic outcomes have not been reported previously. Main Objective: The aim of this study is to examine the feasibility of longitudinal testing of psychophysiological parameters of stress in parents of children undergoing HSCT. Methods: This pilot study was conducted at a large children’s hospital in the Midwest and included parents of children who received autologous or allogeneic HSCT. Time points included before the start of HSCT conditioning and day +30, +60, and +100. Outcome variables included parent-perceived stress, lymphocyte subsets, C-reactive protein (CRP), proinflammatory cytokines, salivary cortisol, and salivary amylase. Effect sizes were calculated for each outcome. Results: Twelve parent-child dyads were enrolled (10 mothers, 2 fathers). Missing data were minimal. Parent-perceived stress significantly increased from pre-HSCT through day +100, and parent CD3+ T-lymphocyte counts decreased from pre-HSCT through day +100. No significant effects were observed for salivary studies, CRP, or proinflammatory cytokines. Effect sizes ranged from 1.23 (perceived stress) to 0.07 (CRP). Conclusion: The results of this study suggest that it is feasible longitudinally measure parent psychophysiologic outcomes in the pediatric HSCT setting. In addition, parent-perceived stress increased linearly from start of conditioning through day +100, whereas parent T-lymphocyte counts decreased concurrently. Implications for Practice: Routine psychological and physical health screening of parents of children undergoing HSCT is needed. Multidisciplinary psychosocial support services should be offered to parents at regular intervals during their child’s HSCT.
Structure-activity relationships of 4-(phenylethynyl)-6-phenyl-1,4-dihydropyridines as highly selective A3 adenosine receptor antagonists.

4-(Phenylethynyl)-6-phenyl-1,4-dihydropyridine derivatives are selective antagonists at human A3 adenosine receptors, with Ki values in a radioligand binding assay vs [125I]AB-MECA (N6-(4-amino-3-iodobenzyl)-5'-(N-methylcarbamoyl)adenosine) in the submicromolar range. In this study, structure-activity relationships at various positions of the dihydropyridine ring (the 3- and 5-acyl substituents, the 4-aryl substituent, and 1-methyl group) were probed synthetically. Using the combined protection of the 1-ethoxymethyl and the 5-[2-(trimethylsilyl)ethyl] ester groups, a free carboxylic acid was formed at the 5-position allowing various substitutions. Selectivity of the new analogues for cloned human A3 adenosine receptors was determined vs radioligand binding at rat brain A1 and A2A receptors. Structure-activity analysis at adenosine receptors indicated that pyridyl, furyl, benzofuryl, and thienyl groups at the 4-position resulted in, at most, only moderate selectivity for A3 adenosine receptors. Ring substitution (e.g., 4-nitro) of the 4-phenylethylnyl group did not provide enhanced selectivity, as it did for the 4-styryl-substituted dihydropyridines. At the 3-position of the dihydropyridine ring, esters were much more selective for A3 receptors than closely related thioester, amide, and ketone derivatives. A cyclic 3-keto derivative was 5-fold more potent at A3 receptors than a related open-ring analogue. At the 5-position, a homologous series of phenylalkyl esters and a series of substituted benzyl esters were prepared and tested. (Trifluoromethyl)-, nitro-, and other benzyl esters substituted with electron-withdrawing groups were specific for A3 receptors with nanomolar Ki values and selectivity as high as 37000-fold. A functionalized congener bearing an [(aminoethyl)amino]carbonyl group was also prepared as an intermediate in the synthesis of biologically active conjugates.
Why Do Cascade Sizes Follow a Power-Law?

We introduce random directed acyclic graph and use it to model the information diffusion network. Subsequently, we analyze the cascade generation model (CGM) introduced by Leskovec et al. [19]. Until now only empirical studies of this model were done. In this paper, we present the first theoretical proof that the sizes of cascades generated by the CGM follow the power-law distribution, which is consistent with multiple empirical analysis of the large social networks. We compared the assumptions of our model with the Twitter social network and tested the goodness of approximation.
Can ERP Adoptions Change Organisational Culture in Developing Countries in Asia? An Empirical Investigation

Little research has been conducted to investigate a possible transformation of organizational culture through western-developed Enterprise Resource Planning (ERP) systems in developing countries in Asia. A case study carried out in Sri Lanka found that ERP adoptions along with other appropriate mechanisms can be a catalyst for the transformation of organizational culture. A little over 10 years after going live, the organizational culture that has inhibited the achievement of benefits from the western-developed ERP system is slowly changing at the case organization. Cultural transformation (user-behavior pattern change) in the case company occurred by accepting three out of four user-behavior patterns assumed by the western-developed ERP systems to a noticeable extent. Furthermore, case organization used several mechanisms such as company-wide education programs, phased-out implementation approach, recruiting an increasing number of young professionals to facilitate the transformation process taking place through the ERP adoption. Additionally, from this evidence, it can be deduced that organizational culture may not be static, over time they may be changed through various mechanisms.
Differential regulation of bile acid homeostasis by the farnesoid X receptor in liver and intestine Published, JLR Papers in Press, August 24, 2007.

Bile acid concentrations are controlled by a feedback regulatory pathway whereby activation of the farnesoid X receptor (FXR) represses transcription of both the CYP7A1 gene, encoding the rate-limiting enzyme in the classic bile acid synthesis pathway, and the CYP8B1 gene, required for synthesis of cholic acid. The tissue-specific roles of FXR were examined using liver- and intestine-specific FXR-null models. FXR deficiency in either liver (FxrΔL) or intestine (FxrΔIE) increased bile acid pool size. Treatment with the FXR-selective agonist GW4064 significantly repressed CYP7A1 in FxrΔL mice but not FxrΔIE mice, demonstrating that activation of FXR in intestine but not liver is required for short-term repression of CYP7A1 in liver. This intestinal-specific effect of FXR is likely mediated through induction of the hormone FGF15, which suppresses CYP7A1. In comparison to CYP7A1, FXR-mediated repression of CYP8B1 was more dependent on the presence of FXR in liver and less dependent on its presence in intestine. Consistent with these findings, recombinant FGF15 repressed CYP7A1 mRNA levels without affecting CYP8B1 expression. These data provide evidence that FXR-mediated repression of bile acid synthesis requires the complementary actions of FXR in both liver and intestine and reveal mechanistic differences in feedback repression of CYP7A1 and CYP8B1.
Dynamic Execution of Temporal Plans with Sensing Actions and Bounded Risk

This thesis focuses on the problem of temporal planning under uncertainty with explicit safety guarantees, which are enforced by means of chance constraints. We aim at elevating the level in which operators interact with autonomous agents and specify their desired behavior, while retaining a keen sensitivity to risk. Instead of relying on unconditional sequences, our goal is to allow contingent plans to be dynamically scheduled and conditioned on observations of the world while remaining safe. Contingencies add flexibility by allowing goals to be achieved through different methods, while observations allow the agent to adapt to the environment. We demonstrate the usefulness of our chance-constrained temporal planning approaches in real-world applications, such as partially observable power supply restoration and collaborative human-robot manufacturing.
Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

We present a heuristic method for learning error correcting output codes matrices based on a hierarchical partition of the class space that maximizes a discriminative criterion. To achieve this goal, the optimal codeword separation is sacrificed in favor of a maximum class discrimination in the partitions. The creation of the hierarchical partition set is performed using a binary tree. As a result, a compact matrix with high discrimination power is obtained. Our method is validated using the UCI database and applied to a real problem, the classification of traffic sign images.
Persistence of Pathogenic and Non-Pathogenic Escherichia coli Strains in Various Tropical Agricultural Soils of India

The persistence of Shiga-like toxin producing E. coli (STEC) strains in the agricultural soil creates serious threat to human health through fresh vegetables growing on them. However, the survival of STEC strains in Indian tropical soils is not yet understood thoroughly. Additionally how the survival of STEC strain in soil diverges with non-pathogenic and genetically modified E. coli strains is also not yet assessed. Hence in the present study, the survival pattern of STEC strain (O157-TNAU) was compared with non-pathogenic (MTCC433) and genetically modified (DH5α) strains on different tropical agricultural soils and on a vegetable growing medium, cocopeat under controlled condition. The survival pattern clearly discriminated DH5α from MTCC433 and O157-TNAU, which had shorter life (40 days) than those compared (60 days). Similarly, among the soils assessed, the red laterite and tropical latosol supported longer survival of O157-TNAU and MTCC433 as compared to wetland and black cotton soils. In cocopeat, O157 recorded significantly longer survival than other two strains. The survival data were successfully analyzed using Double-Weibull model and the modeling parameters were correlated with soil physico-chemical and biological properties using principal component analysis (PCA). The PCA of all the three strains revealed that pH, microbial biomass carbon, dehydrogenase activity and available N and P contents of the soil decided the survival of E. coli strains in those soils and cocopeat. The present research work suggests that the survival of O157 differs in tropical Indian soils due to varied physico-chemical and biological properties and the survival is much shorter than those reported in temperate soils. As the survival pattern of non-pathogenic strain, MTCC433 is similar to O157-TNAU in tropical soils, the former can be used as safe model organism for open field studies.
Large Margin Synchronous Generation and its Application to Sentence Compression

This paper presents a tree-to-tree transduction method for text rewriting. Our model is based on synchronous tree substitution grammar, a formalism that allows local distortion of the tree topology and can thus naturally capture structural mismatches. We describe an algorithm for decoding in this framework and show how the model can be trained discriminatively within a large margin framework. Experimental results on sentence compression bring significant improvements over a state-of-the-art model.
Proof of the Satisfiability Conjecture for Large k

We establish the satisfiability threshold for random k-SAT for all k ≥ k0. That is, there exists a limiting density αs(k) such that a random k-SAT formula of clause density α is with high probability satisfiable for α < αs, and unsatisfiable for α > αs. The satisfiability threshold αs is given explicitly by the one-step replica symmetry breaking (1SRB) prediction from statistical physics. We believe that our methods may apply to a range of random constraint satisfaction problems in the 1RSB class.
Comparison of Clinical Characteristics and Treatment Outcomes of Children Selected for Treatment of Severe Acute Malnutrition Using Mid Upper Arm Circumference and/or Weight-for-Height Z-Score

Objectives Debate for a greater role of mid-upper arm circumference (MUAC) measures in nutritional programming continues, but a shift from therapeutic feeding programs admitting children using MUAC and/or weight-for-height Z (WHZ) to a new model admitting children using MUAC only remains complicated by limited information regarding the clinical profile and response to treatment of children selected by MUAC vs. WHZ. To broaden our understanding of how children identified for therapeutic feeding by MUAC and/or WHZ may differ, we aimed to investigate differences between children identified for therapeutic feeding by MUAC and/or WHZ in terms of demographic, anthropometric, clinical, and laboratory and treatment response characteristics. Methods Using secondary data from a randomized trial in rural Niger among children with uncomplicated severe acute malnutrition, we compared children that would be admitted to a therapeutic feeding program that used a single anthropometric criterion of MUAC< 115 mm vs. children that are admitted under current admission criteria (WHZ< -3 and/or MUAC< 115 mm) but would be excluded from a program that used a single MUAC< 115 mm admission criterion. We assessed differences between groups using multivariate regression, employing linear regression for continuous outcomes and log-binomial regression for dichotomous outcomes. Results We found no difference in terms of clinical and laboratory characteristics and discharge outcomes evaluated between children that would be included in a MUAC< 115 mm therapeutic feeding program vs. children that are currently eligible for therapeutic feeding but would be excluded from a MUAC-only program. Conclusions A single anthropometric admission criterion of MUAC < 115 mm did not differentiate well between children in terms of clinical or laboratory measures or program outcomes in this context. If nutritional programming is to use a single MUAC-based criterion for admission to treatment, further research and program experience can help to identify the most appropriate criterion in a broad range of contexts to target children in most urgent need of treatment.
Density-based motion

A common strategy for encoding multidimensional data for visual analysis is to use dimensionality reduction techniques that project data from higher dimensions onto a lower-dimensional space. This article examines the use of motion to retain an accurate representation of the point density of clusters that might otherwise be lost when a multidimensional dataset is projected into a two-dimensional space. Specifically, we consider different types of density-based motion, where the magnitude of the motion is directly related to the density of the clusters. We investigate how users interpret motion in two-dimensional scatterplots and whether or not they are able to effectively interpret the point density of the clusters through motion. We conducted a series of user studies with both synthetic and real-world datasets to explore how motion can help users in completing various multidimensional data analysis tasks. Our findings indicate that for some tasks, motion outperforms the static scatterplots; circular path motions in particular give significantly better results compared to the other motions. We also found that users were easily able to distinguish clusters with different densities as long the magnitudes of motion were above a particular threshold. Our results indicate that incorporating density-based motion into visualization analytics systems effectively enables the exploration and analysis of multidimensional datasets.
A toolkit for real-time analysis of dynamic large-scale networks

Networks are used in many research domains to model the relationships between entities. We present a publicly available toolkit to extract graphs from datasets or data streams and to analyse their properties. The graph extraction is based on a set of rules that define the links between entities in a set or stream of self-contained events involving sets of entities. As the extracted graph is dynamic and, moreover, can be spread over multiple machines, we include the class of gossip algorithms to analyse them. In addition, the toolkit also contains algorithms to compute metrics of static snapshots of the dynamic graph.
The power of poison: pesticide poisoning of Africa's wildlife

Poisons have long been used to kill wildlife throughout the world. An evolution has occurred from the use of plant‐ and animal‐based toxins to synthetic pesticides to kill wildlife, a method that is silent, cheap, easy, and effective. The use of pesticides to poison wildlife began in southern Africa, and predator populations were widely targeted and eliminated. A steep increase has recently been observed in the intensity of wildlife poisonings, with corresponding population declines. However, the majority of poisonings go unreported. Under national laws, it is illegal to hunt wildlife using poisons in 83% of African countries. Pesticide regulations are inadequate, and enforcement of existing legislation is poor. Few countries have forensic field protocols, and most lack storage and testing facilities. Methods used to poison wildlife include baiting carcasses, soaking grains in pesticide solution, mixing pesticides to form salt licks, and tainting waterholes. Carbofuran is the most widely abused pesticide in Africa. Common reasons for poisoning are control of damage‐causing animals, harvesting fish and bushmeat, harvesting animals for traditional medicine, poaching for wildlife products, and killing wildlife sentinels (e.g., vultures because their aerial circling alerts authorities to poachers’ activities). Populations of scavengers, particularly vultures, have been decimated by poisoning. Recommendations include banning pesticides, improving pesticide regulations and controlling distribution, better enforcement and stiffer penalties for offenders, increasing international support and awareness, and developing regional pesticide centers.
ADAPTATION AND COMPENSATION : APPROACHES TO MICR OPHONE AND SPEAKER INDEPENDENCE IN AUTOMATIC SPEECH RECOGNITION

This paper describes recent efforts by the CMU speech group to address the important problems of robustness to changes in environment and speaker. Results are presented in the context of the 1995 ARPA common Hub 3 evaluation of speech recorded through different microphones at different signal-to-noise ratios (SNRs). For speech that is considered to be of high quality we addressed the problem of speaker variability through a speaker normalization technique. For speech recorded at lower SNRs, we used a combination of environmental compensation techniques previously developed in our group. Speaker normalization reduced the relative error rate for clean speech by 3.5 percent, and the combination of environmental compensation with the use of noise-corrupted speech in the training process reduced the relative error rate for noisy speech by 54.9 percent.