Miracle-dz/UniFAR-FTUs huggingface dataset:
Pursuing a voice in the extractivism debate in Brazil

ABSTRACT This paper examines a Brazilian coalition against mining that mobilized in 2013 as a response to changes in the mineral framework proposed by the Chamber of Deputies. The coalition incorporates a variety of members with several perspectives and worldviews, uniting their different agendas regarding the national mining framework and legislation transformation and meeting the challenging task of building consensus by setting environmental and social issues as its main imperatives. This analysis outlines the coalition’s strategies and actions related to environmental justice. The investigation also demonstrates how the coalition participants deal with their differences and similarities during the coalition building process. The study reveals how groups seeking environmental justice in Brazil are, in fact, also struggling both internally and externally with social inequality and the complexity of the intersectional axes of oppression present in the region.
Performance evaluation and improvement of the IEEE 802.11 DCF

This research mainly focuses on the performance evaluation and the improvement of the IEEE 802.11 DCF. The basic access method in the IEEE 802.11 MAC protocol is the distributed coordination function (DCF), which is a carrier sense multiple access with collision avoidance (CSMA/CA) MAC protocol. In this paper, we first evaluate the performance of DCF using the classical Markov analytical model proposed by Bianchi, and then present an improvement named TDCF. Both the theoretical computation and the simulation in our research prove that TDCF has better performance than DCF.
CHARACTERIZING THE DYNAMICS AND TENSIONS IN THE SOCIAL PRACTICES OF LOW-ACHIEVING STUDENTS IN A KNOWLEDGE-BUILDING ENVIRONMENT

The study used activity systems analysis to characterize the processes, dynamics, and tensions in the social practices developed by a class of academic low-achievers in a knowledge-building environment augmented by analytics-supported reflective assessment. A class of 37 Grade 9 low-achievers and an experienced teacher participated this study. Classroom data sources including classroom videos and observations, student artifacts, student interviews, and videos of reflective-assessment sessions were collected and analyzed. The findings indicated that staging tasks, frequent and opportunistic knowledge-building talks, the framing of discourse improvement as collective responsibility, and the acquisition of new skills and interests served as new tools mediating the students’ activities. Our findings have important implications for the design of technology-rich environments as metacognitive tools to support low achievers.
Incorporating Patient Preferences into Medical Device Benefit-Risk Assessments

Abstract Patients play a unique role in medical device evaluation because they live with their conditions and consequences of the treatments they choose. They may weigh the benefits, risks, and other attributes of treatments differently than physicians and regulators. They may even be heterogenous among themselves when trading-off benefits and risks. Therefore, industry, regulators, and patient groups have a growing interest in exploring how to assess and incorporate patient preferences when conducting benefit-risk assessments of medical devices. This article discusses remarkable developments in this area: a proof-of-concept study on preferences of obese patients conducted by the Center for Devices and Radiological Health at the FDA (CDRH), the guidance documents on factors for benefit-risk determinations and on patient preference information issued recently by CDRH, and the Patient-Centered Benefit-Risk project developed by the Medical Device Innovation Consortium. We will also discuss important concepts related to patient preferences and use the CDRH study results to illustrate them.
Etude des caractéristiques acoustiques des matériaux alvéolaires utilisés pour la construction de parois dans le bâtiment

De part leurs proprietes thermiques interessantes, les briques alveolaires de terre cuite sont largement utilisees dans le domaine de la construction de parois. Du fait de leur large epaisseur, de leur inhomogeneite et de leur anisotropie, les lois physiques couramment utilisees en acoustique du bâtiment pour predire la performance acoustique des parois ne s'appliquent pas de maniere correcte aux murs maconnes avec ces materiaux. On expose ici une approche simplifiee destinee au calcul de la transmission acoustique au travers d'une paroi alveolaire. Un modele vibratoire homogeneise est developpe puis compare a divers resultats d'essais. Dans ce modele, la paroi alveolaire est assimilee a une plaque epaisse orthotrope homogeneisee. Une technique numerique d'homogeneisation, basee sur la methode des elements finis, est utilisee pour extraire les coefficients elastiques equivalents du milieu alveolaire. Des mesures accelerometriques et d'holographie acoustique de champ proche sur mur sont ensuite menees afin de mettre en evidence experimentalement les differents modes de vibrations responsables de la transmission entre 100Hz et 5kHz. Deux pistes visant a optimiser le comportement acoustique des materiaux alveolaires sont finalement presentees. La premiere est basee sur le modele d'homogeneisation et expose plusieurs etudes parametriques destinees a identifier les grandeurs physiques jouant un role majeur dans les performances acoustiques du mur. La seconde exploite le concept d'irregularite geometrique d'un systeme physique. On s'interesse notamment a l'influence de la repartition des inhomogeneites dans le milieu alveolaire sur l'isolation acoustique de la structure.
Oral rehabilitation in a patient with bipolar affective disorder: clinical case report

Objective: This study, through a literature review, aimed to present the key aspects found in Bipolar Affective Disorder (BAD), as well as present a case report of a patient who received dental care in the Discipline of Dentistry for Patients with Special Needs of PUCPR. Case report: Female patient, 30 years of age, leukoderma, diagnosed by medical and psychological exams as suffering from BAD and slight mental retardation. The most evident characteristics inherent to the primary illness included swings in mood and affection as well as bipolar or manic depressions. The special school where she studied and worked referred her to receive dental care in the Discipline of Dentistry for Patients with Special Needs of PUCPR. Her main complaint was the lack of upper front teeth and the esthetic. The treatment plan included adequacy of oral environment through basic periodontal therapy and production of removable partial dentures. Conclusion: People with BAD requires extra care with regard to behavioral management.
Aging Behavior of Beeswaxed Hanji(II) - Acidic and Alkaline Aging of Beeswaxed Hanji -

The annals of Joseon Dynasty is one of UNESCO's Memory of the World Register. For the safety preservation of the waxed annals of Joseon Dynasty, the acidic and alkaline aging mechanism of beeswax and beeswaxed Hanji has been investigated. The weight loss of beeswaxed Hanji by the acidic aging was higher than those of alkaline beeswax. The acid value and relative intensity of carbonyl groups in beeswax were slowly increased with aging time. The strength of dewaxed Hanji was decreased with aging time. The significant changes of crystallinity of dewaxed Hanji by acidic and alkaline aging were not observed.
Nascent Women Entrepreneurs and the Influence of Social Networks on Small Business Outcomes

Nascent entrepreneurs must leverage valuable resources, including human, financial, intellectual, and social capital in order to increase the likelihood of success. With the rise of networking technologies such as LinkedIn, Biznik, Cofoundr, and Facebook, social network analysis, long utilized as a method for organizational analysis, has taken center stage in popular understanding of entrepreneurial success. The composition and quality of social networks, however, varies among male and female entrepreneurs and can have a direct impact upon the business outcomes for each. Using PSED data, this research investigates the gendered differences and structural disparities in the networks of early entrepreneurs.
An Optimized Semi-Supervised Learning Approach for High Dimensional Datasets

The semi-supervised learning is one of the most interesting fields for research developments in the machine learning domain beyond the scope of supervised learning from data. Medical diagnostic process works mostly in supervised mode, but in reality, we are in the presence of a large amount of unlabeled samples and a small set of labeled examples characterized by thousands of features. This problem is known under the term “the curse of dimensionality”. In this study, we propose, as solution, a new approach in semi-supervised learning that we would call Optim Co-forest. The Optim Co-forest algorithm combines the re-sampling data approach (Bagging Breiman, 1996) with two selection strategies. The first one involves selecting random subset of parameters to construct the ensemble of classifiers following the principle of Co-forest (Li & Zhou, 2007). The second strategy is an extension of the importance measure of Random Forest (RF; Breiman, 2001). Experiments on high dimensional datasets confirm the power of the adopted selection strategies in the scalability of our method.
A Secure Mona Protocol for Data Sharing In Un-Trusted Cloud

Cloud computing provides different services economically and efficiently to share many resources among cloud users with low maintenance cost. But unfortunately, during this sharing process data preservation and data integration became a challenging issue for the researcher. This paper, we propose aSecure monaprotocol for data sharing in un-trusted cloud scheme called Mona protocol, for dynamic cloud groups by introducing group signature, file security key and dynamic encryption techniques.This technique helps all thecloud user to share data with others. This presents an efficient result to support the authors claim that it gives an best result as compare to the existing encryption technique.
Romanticism in urban landscapes: parks, tourism, and the rebirth of Chattanooga, Tennessee

Abstract Modern cities are increasingly emphasizing the positive influence of nature and greenspace on quality of life for urban residents and tourists. However, the impetus for these innovations and factors impacting their success have not been adequately studied. Is the commodification of environmental amenities (i.e. ecosystem services) a sufficient recipe for sustainable development, or does true nature-based ‘revitalization’ require appeals to deeper sentiments, attachments, and value systems rooted in emotional and esthetic experience (e.g. biophilic and romanticist principles)? This research uses a case study approach to explore the contributions of parks and other green infrastructure to the rebirth of the city of Chattanooga, once the ‘dirtiest city in America. ’ Thirty key informants were interviewed to discuss the transformation of the industrial city. Response data were corroborated with secondary sources, photography, and informal consultations. Findings suggest that recognition of both instrumental and intrinsic values of nature and investment in the city’s environmental amenities played a pivotal role in Chattanooga’s rebirth as a popular outdoor mecca and tourist destination. While an emphasis on environmental assets helped the city craft a ‘green vision’ for the future, it was a strong connection to place and collective identity based on these assets that helped sustain that vision and make it a reality. Applications of similar modern romanticist thinking may help catalyze sustainable development initiatives that foster transformations in other aging industrial cities.
Arts and Health: A New Paradigm

Questa presa di posizione presenta un nuovo paradigma su struttura e natura intrinseca alla pratica di 'Arte e Salute'. Questo paradigma si basa su una varieta di esperienze di ricerca in piu di vent’anni di lavoro come musicoterapista, musicista, professionista di Musica e Salute, ricercatore e direttore del programma 'Arte e Salute' in ospedali universitari, contesti comunitari e organizzazioni non governative in Irlanda e Regno Unito. Lo scopo di questo lavoro e quello di proporre una nuova prospettiva sul termine 'Arte e Salute', per comprendere tutte le attivita artistiche che esistono in contesti legati alla salute stessa. Questo paradigma ha lo scopo di contrastare le barriere artificiali e difensive costruite tra professionisti e gruppi professionali nel campo, favorire maggior rispetto e comprensione tra gli operatori, e contribuire a individuare le esigenze di formazione e sviluppo per i vari professionisti delle arti che lavorano in contesti relativi a salute e benessere. Cio che si propone e che le attuali assunzioni di definizioni circostanti, intese comunemente come "Arte e Salute ' e Arti-Terapie, siano inutili e problematiche, e che percio debbano essere raffinate.
Heterogeneous effects of investment grants - Evidence from a new measurement approach

"This paper estimates establishment-level employment effects of investment grants in one of the German Federal States receiving the most support. We analyze general treatment effects, as well as the influence of heterogeneity in the characteristics and economic environment of the establishment on its employment development. Modifying the standard matching and difference-in-differences approach, we develop a new procedure that is particularly useful for evaluating funding programs with individual treatment phases within the period of observation. Our data basis combines treatment-related, establishment-specific and regional information from different sources. The results suggest that investment grants have a positive influence on the development of employment in establishment in both absolute and standardized figures (i. e. in relation to the amount of subsidy received) - with considerable effect heterogeneity. " (Author's abstract, IAB-Doku) ((en))
Quantify the performance overheads of PMDK

For systems with non-volatile main memories, i.e., NVDIMMs, failure atomicity is required to guarantee that systems can always recover to consistent states following power or system failures. Such failure atomicity can be achieved with logging and flushing as with filesystems. Similarly, with non-volatile main memories, failure atomicity can be achieved with user space applications using write logging, cacheline flushing, and barriers that order such operations. Write logging, either undo or redo logging, ensures atomicity when a failure interrupts the last atomic operation from completion. Undo logging helps systems recover to the last consistent state immediately before the failed atomic operation, and redo logging helps systems restore to the consistent state right after the failed atomic operation. Cacheline flushing ensures volatile caches do not hold persistent data from reaching the point of persistence, so persistent data won't be lost when a sudden power or system failure occurs. Barriers help prevent potential reordering in the memory hierarchy, as caches and memory controllers may reorder memory operations. For example, a barrier ensures the undo log copy of the data gets persisted onto the persistent memory before the data is mutated in-place, so it's guaranteed that the last atomic operation can be rewound should a failure happens. However, it's non-trivial to add such failure atomicity in user applications with low-level operations such as write logging, cacheline flushing, and barriers [5].
Optically connected and reconfigurable GPU architecture for optimized peer-to-peer access

Increasing industry interest in the optimization of inter-GPU communication has motivated this work to explore new ways to enable peer-to-peer access. Specifically, this paper investigates how reconfigurable optical links between GPUs in multi-GPU servers can allow for minimized memory transfer latencies for given machine learning applications. Silicon photonics (SiP) is proposed as the enabling technology for such a reconfigurable architecture due to the potential for scalable and cost-efficient production. We evaluated our architecture using traffic obtained from an NVLink-connected 8 GPU server executing a set of machine learning models including AlexNet, DenseNet, NASNet, ResNet, MobileNet, and VGG16. Our results show up to 24.91% reduction of the total relative transmission latency (RTL) between peers.
The C-value/NC-value domain-independent method for multi-word term extraction

In this paper we present a domain-independent method for the automatic extraction of multi-word(technical)terms,from machine-readable special language corpora. The method,(C-value/NC-value),combines linguistic and statistical information. The first part,C-value enhances the common statistical measure of frequency of occurrence for term extraction,making it sensitive to a particular type of multi-word terms,the nested terms.Nested terms are those which also exist as substrings of other terms.The second part,NC-value,gives two things:1)a method for the extraction of term context words(words that tend to appear with terms),2)the incorporation of information from term context words to the extraction of terms.We apply the method to a medical corpus and compare the results with those produced by frequency of occurrence also applied on the same corpus.Frequency of occurrence was chosen for the comparison since it is the most commonly used statistical method for automatic term extraction to date.We show that using C-value we improve the extraction of nested multi-word terms,while using context information(NC-value) we improve the extraction of multi-word terms in general.In the evaluation sections, we give directions for the further improvement of the method.
Faire du « journalisme européen de proximité ». Le cas d’une radio-école locale

Cette etude de cas veut mettre en evidence les interactions entre plusieurs spheres discursives a l’œuvre dans la construction de la proximite europeenne au local. On situera, dans un premier temps, l’emergence d’Euradion@ntes par rapport a la politique de communication de la Commission europeenne, et par rapport a la politique de « ville europeenne » menee par Nantes. Il s’agira ensuite d’analyser le regime enonciatif d’un « journalisme europeen de proximite » en questionnant cette designation auto-proclamee comme une nouvelle categorie journalistique, et en interrogeant la programmation de la radio en tant que mise en scene d’une societe d’europeen au local. Le dernier volet de l’etude porte sur l’equipe de journalistes stagiaires, « localiers » de l’ « information europeenne de proximite. » Censee representer un microcosme europeen ad hoc, la constitution de ce groupe primaire europeen s’avere en soi partie prenante du processus de production de l’information. C’est donc tout autant la dimension symbolique des politiques publiques, la construction de la proximite mediatique, et l’identite professionnelle journalistique qui sont ici convoquees.
A Design Method of Consumer Electronics Products Based on Supervisory Control and Model Checking

In this paper, we proposed a method to design consumer electronics products on the basis of supervisory control and model checking. Consumer electronics products are being exposed to the rapid changing of the market. To survive competition, they must be improved to adapt to the change. Supervisory control enables us to restrict the behavior of a product to fulfill given specifications. Model checking enables us to exhaustively and automatically check whether the controlled product preserves a requirement like logical correctness. The advantage of this method is to achieve a balance between the restriction and the requirement.
Analisis Spasial Wilayah Potensi Longsor dengan Metode SINMAP dan SMORPH di Kabupaten Kulon Progo, Daerah Istimewa Yogyakarta

Tanah longsor yang terjadi di Kulon Progo telah menjadi ancaman bencana bagi penduduk dan aktivitas perekonomiannya, yang terindikasi dari 342 kejadian selama tahun 2016 dan merupakan kabupaten dengan lokasi longsor terbanyak di Daerah Istimewa Yogyakarta. Analisis wilayah potensi longsor menggunakan metode Stability Index Mapping (SINMAP) dan Slope Morphology (SMORPH) yang uji validasi dengan titik kejadian longsor merupakan tujuan dari penelitian ini. Identifikasi potensi longsor dilakukan pada 32 lokasi longsor yang penentuannya berdasarkan pada teknik stratified random sampling. Analisis spasial dilakukan dengan menggunakan teknik overlay peta antara kedua wilayah potensi yang divalidasi dengan lokasi kejadian longsor. Hasil analisis menunjukkan bahwa pola wilayah potensi longsor antara metode SINMAP dan SMORPH memiliki beberapa kesamaan seperti persebaran wilayah potensi pada kelas tinggi dan sedang yang berada di bagian Barat Daya sampai dengan Timur Laut Kabupaten Kulon Progo. Wilayah Potensi longsor Metode SINMAP didominasi oleh kelas potensi yang sedang sedangkan pada SMORPH didominasi kelas rendah. Perbedaan variabel yang digunakan pada kedua metode seperti jenis tanah dan curah hujan mempengaruhi wilayah potensi longsor.
A canned food scheduling problem with batch due date

This article considers a canned food scheduling problem where jobs are grouped into several batches. Jobs can be sent to the next operation only when all the jobs in the same batch have finished their processing, i.e. jobs in a batch, have a common due date. This batch due date problem is quite common in canned food factories, but there is no efficient heuristic to solve the problem. The problem can be formulated as an identical parallel machine problem with batch due date to minimize the total tardiness. Since the problem is NP hard, two heuristics are proposed to find the near-optimal solution. Computational results comparing the effectiveness and efficiency of the two proposed heuristics with an existing heuristic are reported and discussed.
Exploiting novel antibodies for the early detection of cardiac disease

Cardiovascular disease, the single greatest killer in the western world, is credited with causing 48% of all deaths worldwide and is of huge economic importance in healthcare provision. The cardiac troponins are definitive indicators of cardiovascular disease and elevated levels of cardiac troponin I (cTnI) are highly-specific for cardiovascular damage. Using a specific targeting strategy, a panel of novel antibodies were successfully generated against key epitopes in cTnI that are of paramount importance for specific cardiovascular disease detection. Panels of both monoclonal and recombinant antibodies were generated and fully characterised. This approach required a combination of high-throughput assay screening with „state-of-the-art‟ multiplexed surface-plasmon resonance-based instrumentation. The selected antibodies were demonstrated to outperform current commercially available reagents. In addition, inherent difficulties associated with the use and expression of cardiac troponin I, the key target analyte, were investigated in detail and alternative recombinant constructs developed and evaluated. The antibodies ultimately selected were chosen for their applicability for integration on to a point-of-care risk-chip for cardiovascular disease determination due to their specificity, high affinity and genetic tailoring for deployment on a microfluidic device. This stage involved close collaboration with clinical and industrial partners and the commercial feasibility and performance of the antibodies are now under evaluation.