Miracle-dz/UniFAR-FTUs huggingface dataset:
4 Discussion and Future Work 3 Experiments and Results 2 Our Solution Adaptive Sentence Boundary Disambiguation

Table 3: Results of comparing hidden layer sizes (6-context). Training was done on 573 items, using a cross validation set of 258 items. and perhaps even to other markup recognition problems , and (iv) compare the use of the neural net with more conventional tools such as decision trees and Hidden Markov Models. for assistance in nding references and determining the status of related work. Special thanks to Prof. Franz Guenthner for introducing us to the problem. 6 Sharp). Also included in this group are items such as U.S. Supreme Court or U.S. Army, which are sometimes mislabeled because U.S. occurs very frequently at the end of a sentence as well. 22.5% false negative due to an abbreviation at the end of a sentence, most frequently Inc., Co., Corp., or U.S., which all occur within sentences as well. 11.0% false positive or negative due to a sequence of characters including a punctuation mark and quotation marks, as this sequence can occur both within and at the end of sentences. 9.2% false negative resulting from an abbreviation followed by quotation marks; related to the previous two types. 9.8% false positive or false negative resulting from presence of ellipsis (.), which can occur at the end of or within a sentence. 9.9% miscellaneous errors, including extraneous characters (dashes, asterisks, etc.), un-grammatical sentences, misspellings, and parenthetical sentences. The results presented above (409 errors) are obtained when both t 0 and t 1 are set at 0:5. Adjusting the sensitivity thresholds decreases the number of punctuation marks which are mislabeled by the method. For example, when the upper threshold is set at 0:8 and the lower threshold at 0:2, the network places 164 items between the two. Thus when the algorithm does not have enough evidence to classify the items, some mislabeling can be avoided. 5 We also experimented with diierent context sizes and numbers of hidden units, obtaining the results shown in Tables 2 and 3. All results were found using the same training set of 573 items, cross-validation set of 258 items, and mixed-case test set of 27,294 items. The \Training Error" is one-half the sum of all the errors for all 573 items in the training set, where the \error" is the diierence between the desired output and the actual output of the neural net. The \Cross Error" is the equivalent value for the cross-validation set. These two error gures give …
Lessons Learned about Integrating Acquisitions

OVERVIEW: Despite the evidence that most acquisitions fail to add value to the acquirer, an acquisition can be successful by following a disciplined integration program based upon best practices. A solid strategic foundation that explains the “why” of the deal is the right place to start customizing the integration process for maximum value capture. After the process is created, it should be followed rigorously. While speed is essential, quality is paramount; in fact, excellence at each stage of the integration cumulatively increases the odds of overall success. And don't forget the major impact of simple actions like CEO visits. By following these guidelines you can weather the inevitable surprises that sink many acquisition integrations.
Technology for Hearing Impaired People : A novel use of Xstroke pointer gesture recognition algorithm for Teaching / Learning Ecuadorian Sign Language

This paper proposes a system to assist the learning process of Ecuadorian sign language. For the development of this system, a novel use of the Grid algorithm employed in Xstroke is proposed for the recognition of hand gestures. Through the enrichment of its set of rules, the algorithm is robust to small variations in the gestures and is highly scalable for cases in which a large set of recognizable gestures is required. To test its validity and effectiveness, a sign language recognition system was developed, based on the proposed approach, and tested on six teachers and four hearing-impaired students. The results and observatons gathered from the test propose a promising use of the system to promote a sign language group learning methodology.
STEADY-STATE THERMAL HERSCHEL-BULKLEY FLOW WITH TRESCA'S FRICTION LAW

We consider a mathematical model which describes the steady- state flow of a Herschel-Bulkley fluid whose the consistency and the yield limit depend on the temperature and with mixed boundary conditions, including a frictional boundary condition. We derive a weak formulation of the cou- pled system of motion and energy equations which consists of a variational inequality for the velocity field. We prove the existence of weak solutions. In the asymptotic limit case of a high thermal conductivity, the temperature becomes a constant solving an implicit total energy equation involving the consistency function and the yield limit.
A new multi-user receiver for PUCCH LTE format 1

In 3rd. Generation Partnership Project (3GPP) Long Term Evolution (LTE) systems, when no resources has been assigned in the uplink to a given UE (User Equipment), the ACK/NACK associated with the received packets are conveyed back to the LTE base station through the so-called Physical Uplink Control Channel (PUCCH). In PUCCH, the data streams transmitted by multiple UEs are multiplexed in the frequency-domain with the aid of spreading codes. However, in multi-cell scenarios, the presence of Inter-Cell Interference (ICI) arising from the lack of code orthogonality severely limits receiver performance. In this paper, we propose a new multi-user receiver for PUCCH LTE operating in a cell-cooperative setting. Using the fact that the received signal in PUCCH signaling follows a constrained tensor model, a multiuser receiver based on an iterative joint channel estimation and symbol detection is proposed. The uniqueness conditions of this particular tensor model allows us to derive the maximum number of terminals that can be simultaneously detected at the LTE base station. Simulation results show the remarkable performance gains of the proposed receiver compared to the conventional time-frequency decorrelator based receiver.
Emscripten: an LLVM-to-JavaScript compiler

We present Emscripten, a compiler from LLVM (Low Level Virtual Machine) assembly to JavaScript. This opens up two avenues for running code written in languages other than JavaScript on the web: (1) Compile code directly into LLVM assembly, and then compile that into JavaScript using Emscripten, or (2) Compile a language's entire runtime into LLVM and then JavaScript, as in the previous approach, and then use the compiled runtime to run code written in that language. For example, the former approach can work for C and C++, while the latter can work for Python; all three examples open up new opportunities for running code on the web. Emscripten itself is written in JavaScript and is available under the MIT license (a permissive open source license), at http://www.emscripten. org. As a compiler from LLVM to JavaScript, the challenges in designing Emscripten are somewhat the reverse of the norm - one must go from a low-level assembly into a high-level language, and recreate parts of the original high-level structure of the code that were lost in the compilation to low-level LLVM. We detail the methods used in Emscripten to deal with those challenges, and in particular present and prove the validity of Emscripten's Relooper algorithm, which recreates high-level loop structures from low-level branching data.
Accuracy Improvement for Spatial Composition-Based End-to-End Network Measurement

Spatial composition method for end-to-end network measurement avoids lengthy measurements of a path and the path is divided into some sub-paths when multiple measured paths share the underlay network route. The performance of the overall path is estimated by spatially composing measurement results of the sub-paths. This method is quite effective for measurement in overlay networks where many paths between overlay nodes share the underlay network. However, such estimation methods may include the additional errors caused by the measurement inaccuracy of sub-paths. Therefore, we need to assess the estimation accuracy of the spatial composition-based method and introduce statistical processing to suppress the estimation errors. In this paper, we propose statistical processing methods of measurement results to improve estimation accuracy of spatial composition-based measurement method for packet loss ratio. We introduce a statistical test for measurement results to exclude outliers from spatial composition. We also propose some statistical indexes for determining whether we should discard the measurement results and reconduct the measurement. We evaluate the performance of the proposed method by using measurement results obtained on Planet Lab environment. From the evaluation results we find that proposed two methods can decrease the estimation error of the spatial composition of packet loss ratio by 36% and 23%, respectively.
Life Stories of the Economic Recession: Biographical Narrative Interpretative Method (BNIM) and the Lived Experience of Disability in Times of Austerity

In 2008, Ireland was impacted by global economic recession. Recession in Ireland was exceptionally severe and contrasted starkly to extraordinary prosperity immediately before. A comprehensive field of statistical data has since emerged indicating that children were particularly socio-economically impacted. Within this, children with disability and their families were shown to have been at heightened risk. This paper presents research findings of a Biographical Narrative Interpretative Method that addressed the lack of qualitative research on the lived experience of disability in Ireland during recession. It presents three life stories of a young person with intellectual disability, his mother, and a social worker in their affiliated disability service. A theoretical reading of the cases through an affirmative non-tragedy lens and then from within an overarching critical disability studies perspective follows. Among the conclusions is that better measures to safeguard the lived experience of disability in future capitalist crises are obligatory.
A∞-modules and Calogero-Moser spaces

The relations between these objects are well known and almost immediate. Thus, (1) is essentially the definition of (closed) points of HilbðCÞ. The bijection (1)! (2) is given by taking the quotient M 7! A0=M modulo a given ideal and letting i be the image of 1 A A0 in A0=M. The inverse map (2)! (1) is then defined by assigning to a given cyclic module its annihilator in A0. The correspondence (1)$ (3) follows from the fact that every f. g. rank 1 torsion-free A0-module is isomorphic to a unique ideal of finite codimension in A0. Finally, the bijection (3)! (4) can be constructed geometrically by extending A0-modules to coherent sheaves on P, and its inverse by restricting such sheaves via the natural embedding C ,! P.
Does Streaming Esports Affect Players’ Behavior and Performance?

In this work, we analyze what effect streaming gameplay on Twitch has on players’ in-game behavior and performance. We hypothesized that streaming can act as a form of implicit incentive to boost players’ performance and engagement. To test this hypothesis, we continuously collected data about all Twitch streams related to a popular Multiplayer Online Battle Arena (MOBA) game, League of Legends (LoL), and data of all LoL matches played during the same time frame, and cross-mapped the two data sets. We found that, counterintuitively, streaming significantly deteriorates players’ in-game performance: This may be due to the burden of carrying out two cognitively intensive activities at the same time, namely, playing the game and producing its commentary for streaming purposes. On the other hand, streaming increases engagement keeping players in significantly longer game sessions. We investigate these two effects further, to characterize how they vary upon individual characteristics.
Locating ictal activities over human scalp with automated detection using EEG signals

Epilepsy is one of the most common brain disorder which affects more than sixty-five million people worldwide. Its diagnosis is usually performed using electroencephalography technique. Since, electroencephalogram (EEG) signals are highly susceptible to artifacts, epilepsy diagnosis is often challenging task. In addition, locating the origin of seizure patterns is even more tedious due to the non-linear nature of EEG signals. Therefore, automated seizure detection systems are highly important to overcome the said challenges. In this study, we have designed a procedure which integrates the seizure detection and localization process with ceiling level of efficiency. Here, we evaluated the energy and standard features using `coiflets' wavelet packets. Then, the feature matrix was reduced by applying fast correlation based filter. Application of 5-Nearest Neighbour classifier resulted in mean accuracy of 99.3515±0.2518 % taking only 0.152±0.0344 seconds for execution. Later, independent component analysis over the ictal segments was applied and subsequently topographic scalps maps were plotted. The results successfully implied automated detection and visualization of ictal activities over the human scalp.
admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties play key roles in the discovery/development of drugs, pesticides, food additives, consumer products, and industrial chemicals. This information is especially useful when to conduct environmental and human hazard assessment. The most critical rate limiting step in the chemical safety assessment workflow is the availability of high quality data. This paper describes an ADMET structure-activity relationship database, abbreviated as admetSAR. It is an open source, text and structure searchable, and continually updated database that collects, curates, and manages available ADMET-associated properties data from the published literature. In admetSAR, over 210,000 ADMET annotated data points for more than 96,000 unique compounds with 45 kinds of ADMET-associated properties, proteins, species, or organisms have been carefully curated from a large number of diverse literatures. The database provides a user-friendly interface to query a specific chemical profile, using either CAS registry number, common name, or structure similarity. In addition, the database includes 22 qualitative classification and 5 quantitative regression models with highly predictive accuracy, allowing to estimate ecological/mammalian ADMET properties for novel chemicals. AdmetSAR is accessible free of charge at http://www.admetexp. org.
Navigating the Transition: The Informational Networks and Help-Seeking Behavior of Community College Transfer Students

While community college transfer students who successfully matriculate into the four-year institution enjoy high persistence and graduation rates, inequities continue to be inherent throughout the process. In order to succeed during this transition, students must employ effective help-seeking strategies that provide them with access to timely and accurate information. This study seeks to be a formal examination of these informational networks. It describes the extensity, composition and positionality of these networks as transfer students exit the community college and enter a large research-extensive university. It also studies the effect that participation in a transfer course has on these informational networks. The results imply that informational networks remain relatively similar throughout the transfer process but that certain populations, including firstgeneration students and females, are less likely to rely on institutional agents for information. In addition, the effects of a transfer success course appear to be short-term, although it may reap larger benefits for at-risk populations. These findings suggest that socio-academic integration theories are more relevant to community college transfer students than theories based on traditional populations who enter four-year institutions directly out of high school.
Age-Related Macular Degeneration: Insights into Inflammatory Genes

Age-related macular degeneration (AMD) is a progressive neurodegenerative disease that affects approximately 8.7% of elderly people worldwide (>55 years old). AMD is characterized by a multifactorial aetiology that involves several genetic and environmental risk factors (genes, ageing, smoking, family history, dietary habits, oxidative stress, and hypertension). In particular, ageing and cigarette smoking (including oxidative compounds and reactive oxygen species) have been shown to significantly increase susceptibility to the disease. Furthermore, different genes (CFH, CFI, C2, C3, IL-6, IL-8, and ARMS2) that play a crucial role in the inflammatory pathway have been associated with AMD risk. Several genetic and molecular studies have indicated the participation of inflammatory molecules (cytokines and chemokines), immune cells (macrophages), and complement proteins in the development and progression of the disease. Taking into consideration the genetic and molecular background, this review highlights the genetic role of inflammatory genes involved in AMD pathogenesis and progression.
LEARNER AUTONOMY IN A TASK-BASED 3D WORLD AND PRODUCTION

This stud y contributes to the research on learner autonomy by examining the relationship between Little’s (1991) notions of ‘independent action’ and ‘decision-making’, input, and L2 production in computer-assisted language learning (CALL). Operationalizing ‘independent action’ and ‘decision-making’ with Dam’s (1995) definition that focuses on ‘choice’, the present study examines whether, while learners are engaged in a CALL task, their choices—termed autonomous moves—within a 3D environment and the subsequent input they receive predict the linguistic complexity and accuracy of their production in synchronous computer mediated communication (SCMC). A total of 58 third-year university-level learners of Spanish participated in two murder-mystery tasks coupling a 3D segment—containing embedded user-tracking features—with an SCMC segment. Four regression analyses examined the potential impact of learners’ choices within the 3D environment and the input resulting from those decisions on their production. The results suggest that learners’ linguistic complexity and accuracy while completing CALL-based tasks is influenced by both their autonomous moves and the linguistic characteristics of the input they receive (as a result of their autonomous moves).
Comparative Cheap Talk

When are comparative statements credible? For instance, when can a professor rank different students for an employer, or a stock analyst rank different stocks for a client? We show that simple complementarity conditions ensure that an expert with private information about multiple issues can credibly rank the issues for a decision maker. By restricting the expert’s ability to exaggerate, multidimensional cheap talk of this form permits communication when it would not be credible in a single dimension. The communication gains can be substantial with even a couple of issues, and the complete ranking is asymptotically equivalent to full revelation as the number of issues becomes large. Nevertheless, partial rankings are sometimes more credible and/or more profitable for the expert than the complete ranking. We confirm the robustness of comparative cheap talk to asymmetries that are not too large. Moreover, we show that for a sufficiently large number of independent issues there are always some issues sufficiently symmetric to permit influential cheap talk.
An Overview of Existing Tools for Fault-Injection and Dependability Benchmarking in Grids

In this paper we review several existing tools for fault injection and dependability benchmarking in grids. We emphasis on the FAIL-FCI fault-injection software that has been developed in INRIA Grand Large, and a benchmark tool called QUAKE that has been developed in the University of Coimbra. We present the state-of-the-art and we explain the importance of these tools for dependability assessment of Grid-based applications and Grid middleware.
Media and Policy†

We identify a mechanism through which media concentration reduces political polarization and media competition (via specialization) increases polarization. This mechanism may help explain the patterns of US Congressional polarization. To avoid offending potential customers, a concentrated media seldom makes clear-cut endorsements and, as a result, provides little information. This leads to the convergence of party policy positions. Under competition, media companies specialize to a narrow ideological spectrum and, as a result, can offer strong endorsements without risk of offending customers. This leads to the divergence of party’s policy positions; that is, political polarization. † This research was supported by grants from the National Science Foundation. We are grateful to Tasos Kalandrakis and Brian So for numerous suggestions and comments.
The Role of Inhibitory G Proteins and Regulators of G Protein Signaling in the in vivo Control of Heart Rate and Predisposition to Cardiac Arrhythmias

Inhibitory heterotrimeric G proteins and the control of heart rate. The activation of cell signaling pathways involving inhibitory heterotrimeric G proteins acts to slow the heart rate via modulation of ion channels. A large number of Regulators of G protein signalings (RGSs) can act as GTPase accelerating proteins to inhibitory G proteins and thus it is important to understand the network of RGS\G-protein interaction. We will review our recent findings on in vivo heart rate control in mice with global genetic deletion of various inhibitory G protein alpha subunits. We will discuss potential central and peripheral contributions to the phenotype and the controversies in the literature.
Postwar Sierra Leone : are programs of reconstruction addressing the causes of war?

POSTWAR SIERRA LEONE: ARE PROGRAMS OF RECONSTRUCTION ADDRESSING THE CAUSES OF THE WAR? Lovetta A. Thompson June 10,2010 This multilayered study is an appraisal of some of the ongoing post-conflict reconstruction efforts in Sierra Leone in light of the causes of the conflict, which lasted from 1991-2002. It begins by providing a critical examination of the historical antecedents leading up to the war. The problems of colonialism which brought together different nationalities under one political umbrella by force of arm, along with other motley of issues such as corrupt leadership and inter-ethnic violence led to the outbreak of war in 1991. Although different studies have discussed these factors, very few, if any, have tried to make a connection between causation and reconstruction with a view to find a lasting peace. The aim of the study, therefore, is to appraise the ongoing post-conflict reconstruction efforts in Sierra Leone in light of the causes of the conflict. No lasting peace will be achieved unless there are practical steps addressing the very structures that brought about the war. A central focus is to gain some insights on the successes and failures of the ongoing reconstruction programs. The findings of the study conclude that the post-conflict reconstruction efforts in Sierra Leone have been moderately successful at best. If basic needs such as educational and health care reform, as well as employment opportunities for youth are not met, Sierra Leone will continue to carry a cloud where conditions are still ripe for conflict.