Miracle-dz/UniFAR-FTUs huggingface dataset:
Regla monetaria óptima para una economía pequeña, abierta y dolarizada

Este trabajo incursiona en un área aún no explorada de la política monetaria en Uruguay: la discusión de la política (la regla) monetaria óptima en un contexto de flotación cambiaria. Con este fin, se ha procedido, en primer lugar, a “calibrar” un modelo para una economía pequeña, abierta y dolarizada. En segundo lugar, se analizó el desempeño de la economía bajo diferentes reglas monetarias, considerando distintos parámetros de aversión a las fluctuaciones del producto y la inflación y teniendo en cuenta la frontera de varianza asociada. Finalmente, se han comparado estas varianzas con las que surgirían de una regla simple, al estilo “regla de Taylor”, y de una meta de tipo de cambio o devaluación. Los resultados indican que la optimalidad de las reglas monetarias, y las varianzas del producto e inflación asociadas a ellas, depende de los parámetros de la función de pérdida. En especial, y al igual que lo que se ha observado en otros trabajos a nivel internacional, el establecimiento de un peso relativamente alto al objetivo de inflación (estabilidad de precios) implica no sólo una mayor varianza del producto sino, también, mayores niveles de variabilidad de la inflación. El trade-off comienza recién cuando el objetivo de estabilización del producto pondera 15 veces más que el de inflación. Por otra parte, los resultados del estudio realizado indican que las varianzas asociadas a objetivos de devaluación son considerablemente mayores que las que se obtienen en el marco de una política de objetivo de inflación. Una política del tipo “regla de Taylor” genera mayor varianza que una meta de inflación apoyada sobre una regla forward looking que incluya a todas las variables del sistema, pero exhibe menores niveles de variabilidad que la que surge de una meta tipo de cambio.
Location-aided mm-wave channel estimation for vehicular communication

Millimeter-wave (mm-wave) communication is a promising technology for next-generation wireless systems. One challenging application lies in the vehicular domain, where mm-wave should support ultra-fast and high-rate data exchanges among vehicles and between vehicles and infrastructure. To achieve ultra-fast initial access between nodes, we propose a location-aided beamforming strategy and analyze the resulting performance in terms of antenna gain and latency. We find that location information can significantly speed up initial access.
A Novel Circuit Topology for Underwater Wireless Power Transfer

This work presents a new topology for the matchingnetworks of an underwater wireless power transfer system.A class-D driver is used in resonance at fundamental and third harmonic frequencies. The double resonance helps reducing the reverse voltage stress at the diode rectifier. We present the analytical derivation of the proposed network and demonstrate the design procedure with an example. We also show that additional degrees of freedom can be acquired with the proposed topology, which improves the design space for time-varying operation conditions of our application, such as the load changing when a battery is being recharged. The performanceof our topology is compared to most conventional approaches, such as the series-series and series-parallel networks, revealing a good compromise between power delivery and efficiency across a wide load range.
RF CMOS technology scaling in High-k/metal gate era for RF SoC (system-on-chip) applications

The impact of silicon technology scaling trends and the associated technological innovations on RF CMOS device characteristics are examined. The application of novel strained silicon and high-k/metal gate technologies not only benefits digital systems, but significantly improves RF performance. The peak cut-off frequency (fT) doubles from 209 GHz in the 90 nm node to 445 GHz at the 32 nm node. 1/f flicker noise reduces by an order of magnitude from the 0.13 um node to the 32 nm node. Transistor noise figure, high voltage tolerance, and quality factors of RF passives all show similar benefits from technology scaling.
The Neurobiology of Addiction

Addiction can be defined in part as a compulsion to use alcohol or other drugs and the occurrence of withdrawal symptoms when long-term consumption ceases. In addition to physical symptoms related to nervous system hyperexcitability, withdrawal includes changes in mental state that may motivate renewed AOD consumption. The manifestations of addiction are associated with changes in nerve cell function by which the brain attempts to adapt to a drug’s presence. These functional changes modulate a person’s initial response to a drug, the establishment of long-term craving for the drug (i.e., addiction), and the persistent sense of discomfort that leads to relapse after abstinence has been achieved. Research is beginning to reveal how specific brain regions may be integrated to form neural circuits that modulate aspects of addiction.
An Innovative Approach for Imputation and Classification of Medical Records for Efficient Disease Prediction

Imputation of medical records is a prime challenge when we deal with medical records. The imputed values affect classification of new medical records. This is because of this reason imputation gains its importance. In our present approach for imputation, we aim to carry imputation by first reducing dimensionality of medical records and then use the reduced dimension medical records to carry out imputation. The imputation is then followed by classification of medical records. We discuss a case study to show the process of imputation and classification of records using the proposed approach. The approach is demonstrated for categorical attributes in this paper and can be extended for numerical attributes also. The approach followed for imputation is class based clustering approach.
Regulation of STIM1/Orai1-dependent Ca2+ signalling in platelets

Summary Platelet secretion and aggregation as well as thrombus formation of blood platelets critically depend on increase of cytosolic Ca2+ concentration ([Ca2+]i) mainly resulting from intracellular Ca2+ release followed by store operated Ca2+ entry (SOCE) through Ca2+ release activated channels (CRAC). SOCE is in part accomplished by the pore forming unit Orai and its regulator stromal interaction molecule (STIM). Orai1 and STIM1 transcription is stimulated by NFkB (nuclear factor kappa B). Serum- and glucocorticoid-inducible kinase 1 (SGK1) up-regulates NFkB-activity in megakaryocytes and thus Orai1- expression and SOCE in platelets. SGK1 is thus a powerful regulator of platelet Ca2+-signalling and thrombus formation and presumably participates in the regulation of platelet activation by a variety of hormones as well as clinical conditions (e.g. type 2 diabetes or metabolic syndrome) associated with platelet hyperaggregability and increased risk of thromboocclusive events. SOCE in platelets is further regulated by scaffolding protein Homer and chaperone protein cyclophilin A (CyPA). Additional potential regulators of Orai1/STIM1 and thus SOCE in platelets include AMP activated kinase (AMPK), protein kinase A (PKA), reactive oxygen species, lipid rafts, pH and mitochondrial Ca2+ buffering. Future studies are required defining the significance of those mechanisms for platelet Orai1 abundance and function, for SOCE into platelets and for platelet function in cardiovascular diseases.
Considerations on Application of Lean Construction Principles to Design Management

Several studies have pointed out the importance of the building design process in terms of improving the performance of the construction industry, and that it is a very difficult process to manage. It involves thousands of decisions, sometimes over a period of years, with numerous interdependencies, under a highly uncertain environment. As distinct from production, quality in the design process has to be achieved by a careful identification of customer needs and subsequent translation of those needs into specifications. The aim of this article is to present an analysis on the application of some lean construction principles to design management, considering the three different views of design (design as conversion, design as flow and design as value generation), proposed by Huovila et al. (1997). This discussion is based on empirical data collected in two case studies developed in Brazil. Each case study involved the development of a model for managing the design process for a small-sized house building company.
Analyzing the Literature on Knowledge Management Frameworks: Towards a Normative Knowledge Management Classification Schema

Knowledge Management (KM) is a young and interdisciplinary subdomain of the IS discipline and it covers a considerable number of different topics. Due to its interdisciplinary character, a common understanding of KM is still missing. Several studies have already focused their efforts on harmonizing the discipline’s topics by developing KM frameworks. The purpose of this paper is to explore and integrate these frameworks in order to contribute to a common KM understanding. The procedure is twofold: 74 studies are identified through a structured literature review and compared using a concept matrix. The studies discuss already existing KM frameworks from research and practice or present the results of reviewing the KM domain through the development of frameworks. Based on these results, a normative KM classification schema is introduced. This schema comprises seven main KM categories and offers a summary of the common grounds in the domain of KM frameworks. The study provides guidance where to focus future research efforts and helps to identify potentially relevant topics, which, despite their relevance to the KM field, have not been considered up until now. Moreover, businesses can use the schema to get an overview of existing frameworks, which can be adapted in their organization.
Group behavior recognition with multiple cameras

We propose in this paper an approach for recognizing group of people behaviors using multiple cameras with overlapping FOVs (Field Of View). In this context, Behavior recognition first relies on low level motion detection and frame to frame tracking which generate a graph of mobile objects for each camera. Second, to take advantage of all cameras observing the same scene, a combination mechanism is performed to combine the graphs computed for each camera into a global one. This global graph is then used for long term tracking of groups of people evolving in the scene. Finally, the result of the group tracking is used by a higher level module which recognizes predefined scenarios corresponding to specific group behaviors. This article focuses on the graphs combination mechanism and on the recognition of group behaviors. At the end, results on these two algorithms are described.
A multi Gbps 10-PAM receiver in 0.18μm CMOS technology

We report a receiver for ten-level pulse-amplitude modulated(10-PAM) encoded data signals, which was measured to receive data at 8 Gb/s at a maximum frequency(2 GHz). To increase data bit-rate and reduce BER, we designed this circuit by using a current mode amplifier, high speed comparator and a current-mode logic (CML) circuit. The 10-PAM receiver is designed in 0.18-µm CMOS technology. The measured current consumption is 61mA from 1.8-V supply, and the active chip area is 0.5 × 0.6 mm2.
Intelligent Parkinson Disease Prediction Using Machine Learning Algorithms

Diagnosis of the Parkinson disease through machine learning approache provides better understanding from PD dataset in the present decade. Orange v2.0b and weka v3.4. 10 has been used in the present experimentation for the statistical analysis, classification, Evaluation and unsupervised learning methods. Voice dataset for Parkinson disease has been retrieved from UCI Machine learning repository from Center for Machine Learning and Intelligent Systems. The dataset contains name, MDVP:Fo(Hz), MDVP:Fhi(Hz), MDVP:Flo(Hz), MDVP:Jitter(%), MDVP: Jitter(Abs), MDVP:RAP, MDVP:PPQ, Jitter:DDP, MDVP:Shimmer, MDVP:Shimmer(dB), Shimmer:APQ3, Shimmer:APQ5, MDVP:APQ, Shimmer:DDA, NHR, HNR, status, RPDE, DFA, spread1, spread2, D2, PPE attributes. The parallel coordinates shows higher variation in Parkinson disease dataset. SVM has shown good accuracy (88.9%) compared to Majority and k-NN algorithms. Classification algorithm like Random Forest has shown good accuracy (90.26) and Naive Bayes has shown least accuracy (69.23. Higher number of clusters in healthy dataset in Fo and less number in diseased data has been predicted by Hierarchal clustering and SOM.
The research on network performance management system based on SDN technology

Network management plays an important role in improving the utilization ratio of network unit, positioning and troubleshooting fault, optimizing the network performance, ensuring network security and service quality. SDN (Software Defined Networking) has brought new chances and challenges for the development of network management technology. Thus, this paper has designed a network performance management system based on SDN. SNMP4J class library is used to develop network management system of the underlying application in this system. The data forwarding and controlling is separated through the SDN technology, which realizes functions: the collection and analysis of data, alarm and automatic control. Some test cases indicated that this system has many advantages, such as intelligence, high reliability and security, and so on.
Navigable history: a reader's view of writer's time

Abstract Collecting, analyzing, and sharing information via a hypertext results in the continuous modification of information content over a long period of time. Such tasks will benefit from users having access to this authoring process. The Visual Knowledge Builder (VKB), a spatial hypertext system designed to support collaborative knowledge building, includes navigable history to provide readers a view of the writer's time. VKB acts as a workspace for collecting, organizing, and interpreting information in a hierarchy of two-dimensional planes. During authoring, VKB records events in the hypertext's history and provides methods to access prior states of the hypertext. The reader may play forward or backward through the authoring process as well as search for a variety of authoring events on information objects. Users receive cues about the absolute and relative timelines of the information space through the presentation of information about specific events and their sequence. Examples of VKB's use include note taking, writing, organizing conferences, and sharing information in a research group. Analysis of VKB workspaces in these contexts indicates navigable history supports 1) learning and interpreting authors’ work practices, 2) recognizing patterns of activity in the information space, and 3) disambiguating specific actions and content. Hypertexts that include an authoring history add a notion of constructive time for their readers.
FSA based Code Sequence Checking to Prevent Mal Use of Myanmar IDNs

With the development of new technologies, not only online contents but also domain names can be represented in local languages and this makes human society with better communication, better education and better business. Though domain names in some Asian languages such as Japanese, Indian languages, Sinhala and Urdu, are already implemented, not many works have been attempted on domain names in Myanmar language. Thus, the first part of this study aims to discuss fundamental issues for implementing Myanmar domain names by stating language-specific characteristics. Secondly, Myanmar language has different types of combining marks, similar-looking characters and homoglyphs which can open phishing attacks. Thus, possible spoofing attacks are addressed and finite state automata (FSA) based coded sequence checking method is proposed to prevent combining mark order spoofing in Myanmar language. Our tested results on Stuttgart FST tool (SFST) show that the proposed FSA could check code sequence order of Myanmar characters correctly. Though we use Myanmar script as
Two-tier Emergent Self-Organizing (TtEsom) approach of understanding emotions

This paper extends the previous work on emotion mapping [1] that attempts to emulate human brain reference model. Most emotion recognition system analyzes facial expression through supervised learning whereas this work adopts unsupervised learning. The system first locates the human face in an image, and then identifies the localized face emotion. The proposed method uses features obtained using Gabor wavelets, undergoes features selection through the use of a derivation of Support Vector Machine. This work adopted a connectionist model, called Two-tier Emergent Self-Organizing Map (TtEsom) to analyse the emotion. The result shows improvement over the previous work and comparable result with supervised learning approach.
MPEG-2 Video Watermarking Using Pattern Consideration

This paper proposes a new method for digital video watermarking in compressed domain. Both the embedding and extracting phases are performed after entropy decoding. Consequently, fully decompressing the compressed video is not necessary making this scheme an appropriate choice for real-time application. Furthermore, taking the structural information into account leads to presenting a robust watermarking scheme along with less quality degradation. To select suitable coefficients for embedding the watermark, three different aspects, imperceptibility, security, and bit rate increase, have been considered. These performance factors are adjusted by defining three priority matrices. In addition, a content based key is proposed in order to overcome the collusion attack. The flexibility of our method to provide desired characteristic can be expressed as another advantage.
Youth Overweight and Metabolic Disturbances in Predicting Carotid Intima-Media Thickness, Type 2 Diabetes, and Metabolic Syndrome in Adulthood: The Cardiovascular Risk in Young Finns Study

OBJECTIVE Our objective was to assess cardiovascular risk and metabolic complications in adulthood in subjects with or without overweight and metabolic disturbances (i.e., elevated blood pressure, glucose, triglycerides, low HDL cholesterol, and high LDL cholesterol) and their combinations as youth. RESEARCH DESIGN AND METHODS Using data from the population-based Cardiovascular Risk in Young Finns study, we examined the utility of four age- and sex-specific youth phenotypes (group I: normal weight, no metabolic disturbances; group II: normal weight, one or more metabolic disturbances; group III: overweight/obese, no metabolic disturbances; group IV: overweight/obese, one or more metabolic disturbances) in predicting adult high carotid intima-media thickness (IMT), type 2 diabetes mellitus (T2DM), and metabolic syndrome (MetS). The study included 1,617 participants 9–24 years of age at baseline who were followed up 21–25 years later. RESULTS IMT (mean ± SEM) was higher among participants in groups II (0.627 ± 0.005 mm, P = 0.05), III (0.647 ± 0.010 mm, P = 0.005), and IV (0.670 ± 0.010 mm, P < 0.0001) compared with group I (0.616 ± 0.003 mm). In addition, subjects in group IV had significantly higher IMT compared with those in group II (P = 0.002). Participants in groups II, III, and IV were at increased risk of the development of MetS in adulthood compared with those in the control group. For group II participants, the difference was attenuated after risk factor adjustments. Additionally, participants in group III and IV were at increased risk of the development of T2DM compared with those in groups I and II. CONCLUSIONS While metabolic risk factors associated with overweight increase future risk for MetS, T2DM, and increased IMT, overweight in isolation is also a risk factor. Therefore, overweight should be prevented and treated wherever possible.
The Application of LDPC Code in ABS-S System

The paper firstly describes the new generation satellite broadcasting system used in China named Advanced Broadcasting System-Satellite (ABS-S) that offers system performance and service versatility suitable for future satellite digital broadcasting. Then this paper points out the shortcomings of LDPC code used in DVB-S2 and detailedly describes the LDPC code used in ABS-S. At last, based on the simulation result, we can say that the performance of LDPC codes used in ABS-S is better than that of DVB-S2 and the complexity is also lower than that of DVB-S2.
IGF-1 Increases with Hyperbaric Oxygen Therapy and Promotes Wound Healing in Diabetic Foot Ulcers

Objectives. To investigate insulin-like growth factor I (IGF-1) levels in response to hyperbaric oxygen therapy (HBOT) for diabetic foot ulcers and to determine whether IGF-1 is a predictive indicator of wound healing in patients with diabetic foot ulcers. Design and Methods. We treated 48 consecutive patients with diabetic foot ulcers with HBOT. Alterations of IGF-1 levels in patients whose wound healed with HBOT were compared with those in patients who did not benefit from HBOT. Results. There was no significant difference in initial IGF-1 levels between the two groups (P = 0.399). The mean IGF-1 level increased with HBOT (P < 0.05). In the healed group, the mean IGF-1 increase and the final values were significantly higher (P < 0.05). In the nonhealed group, the mean IGF-1 increase was minus and the final values were not significantly different (P < 0.05). The increase in IGF-1 level with HBOT was significantly higher in the healed group (P < 0.001). Conclusions. IGF-1 increased significantly in the healed group. We believe that HBOT is effective in the treatment of diabetic foot ulcers, with an elevation of IGF-1. This alteration seems to be a predictive factor for wound healing in diabetic foot ulcers treated with HBOT.
Fixing urban schools

Every year, in one out of three big cities, the school superintendent leaves his or her job, sending local community leaders back to square one. Cleveland, Baltimore, and Washington, D.C., are struggling to recreate their failed school systems, and many more cities are likely to follow. City leaders need more than new superintendents. They need stable reform strategies strong enough to move an entrenched system. Unfortunately, it is not clear where they can turn for help. Education experts are deeply divided about whether teacher retraining or new standards are enough to reform a struggling city system, or whether more fundamental changes, such as family choice and family-run schools, are needed. Based on new research, this book identifies the essential elements of reform strategies that can transform school performance in big cities beset by poverty, social instability, racial isolation, and labor unrest. It also suggests ways that local leaders can assemble the necessary funding and political support to make such strategies work.