Miracle-dz/UniFAR-FTUs huggingface dataset:
The computation of weight in Portuguese: syllables and intervals

The relationship between weight and stress in weight-sensitive languages has been the topic of research of numerous scholars. Moraic Theory (Hyman 1985), for example, formalizes such a relationship by assigning weight-bearing units (μ) to specific constituents in the syllable. This allows us to categorically differentiate between [CVμ] (i.e., light) and [CVμCμ] (i.e., heavy) syllables in languages where such a distinction may be relevant. Portuguese is one such language: Syllables with a coda consonant or a (falling) diphthong contain two moras and are therefore heavy, whereas CV syllables contain one mora and are light. More recently, however, probabilistic approaches have changed the maxim of categoricity often assumed in phonological analyses. With more statistical power, we are now able to perform more comprehensive and detailed analyses, which in turn help us adjust our own theoretical assumptions. Weight and stress have benefitted greatly from such approaches, and we now know that the computation of weight is not as categorical as we thought. Instead, more intricate, subtle patterns can emerge once we examine enough data. In this paper, I show that this is in fact the case for Portuguese. Previous analyses of Portuguese stress assume a categorical view of weight, namely, syllables are either heavy or light (Bisol 1994, Lee 1994, Wetzels 1997, among others). The present study provides empirical evidence that supports a gradient pattern once we look at all words in the lexicon. Furthermore, the behaviour of onsets in the language suggests that weight is not computed in terms of syllables. Rather, the data motivate an interval-based account, where rhythmic units span from one vowel up to (but not including) the next vowel (Steriade 2012). As we will see, the analysis proposed here is more accurate, more parsimonious and more empirically motivated than a syllable-based account. In other words, a probabilistic interval-based approach accounts for more words in the language by employing fewer predictors—in fact, only one predictor is used in this paper, namely, weight. The paper is organized as follows: In §2, I briefly review Portuguese stress and describe the relevant facts regarding weight effects in the language. In §2.1, I differentiate syllables and intervals, reviewing the predictions one could derive from each weight domain. In §3.1, I describe the corpus used in this paper. The patterns in the corpus are discussed in §4, and are the basis for the analysis provided in §5. Finally, in §6 I briefly summarise the main results of this study.
Cognitive Dysfunction is Associated with Increased Visit to Visit Systolic Blood Pressure Variability

Objectives—Hypertension is a modifiable risk factor for cognitive decline. We tested the hypothesis that greater variability in blood pressure is negatively associated with performance on cognitive testing. Design—Multinational, longitudinal, observational cohort study. Setting—The Alzheimer's Disease Neuroimaging Initiative study. Participants—A total of 626 subjects had a screening diagnosis of mild cognitive impairment or normal cognition. Measurements—Blood pressure mean, variance, and maximum were calculated based on measures collected from screening to 36 months. Analysis of covariance models were used to determine the association between blood pressure measures and cognitive scores at 36 months after adjusting for covariates. Results—Greater variability in systolic (p < 0.05) but not diastolic (p > 0.18) blood pressure was associated with worse global (ADAS-COG and CDR)and executive functioning (Trail Making B, Animal Fluency, and Vegetable Fluency)and episodic memory (Rey Auditory Verbal Learning Test Total Score). *Address correspondence to Noam U. Epstein, MD Department of Neurology, Hines VA Medical Center, 5000 South 5th Avenue, Hines, IL, 60141, USA, Phone: (708) 202-8387, Fax: (708) 202-7936, nue2you@gmail.com. †Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.ucla.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni. ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List. pdf Author Contributions: Dr. Epstein conceived of the idea, developed the protocol, collected the data and wrote the manuscript. Dr. Gao, professor of biostatistics, supervised the statistical analysis and Katie Lane, who is a biostatistician with a master's degree, performed the statistical analysis. Drs. Saykin, Risacher, and Farlow provided advice on study design. All authors edited and approved the final manuscript. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. NIH Public Access Author Manuscript J Am Geriatr Soc. Author manuscript; available in PMC 2014 December 01. Published in final edited form as: J Am Geriatr Soc. 2013 December ; 61(12): 2168–2173. N IH PA Athor M anscript N IH PA Athor M anscript N IH PA Athor M anscript Conclusion—There is a clinically significant association between increased systolic blood pressure variability and greater cognitive dysfunction. These results should be verified in other well-characterized cohorts, and the neuroanatomical pathophysiology underlying the observed greater cognitive impairment should be further explored.
The Role of a Key Account Management' s Code of Conduct in Improving Learning Culture of the Account Managers: The Case of VICTORI Code of Conduct at TELKOM Indonesia

Key Account Management (KAM) is a term started as way of improving selling techniques to a few key customers/major accounts. It is more strategically oriented than sales-oriented or relationship-oriented because the importance of the key customers. The strategies to keep, sell, and make profit with key customers cannot be short-term sales driven. By implementing Key Account Management, a supplier company will benefit from KAM relationship in terms of business growth (e.g. selling to new customer division, retaining customers, identifying more opportunities with customers) and cost reduction (e.g. shortening learning curve, avoiding formal tenders, improving sales forecasting). This study uses a qualitative design with an observation and document analysis to discuss the case of a particular key account management code of conduct at TELKOM Indonesia in order to improve the learning culture of the Account Managers. VICTORI code of conduct as an improvement of The Account Management Way 1-3-5 is compared with two theoretical concepts of Account Management. One of the key improvements in the new code of conduct is the mission to provide an ecosystem solution to business customers instead of a genericdream plan � . It shows a clear direction on the new focus of key account management at TELKOM Indonesia. Another key improvement is the change of terminology frompartnertosynergy � . It reflects the vision of the idealistic relational model of KAM from the level of Partnership KAM toward Synergistic KAM that allows a seamless integration between TELKOM and key business customers in creating synergistic/joint value in the marketplace. Finally, the code of conduct approach plays an important role in nurturing the capabilities of an account manager in fulfilling key customersneed. There are three orders of customersneed that have to be fulfilled in Key Account Management: Product need, Process need, and Facilitation need (the way in which business is done, rooted in joint problem resolution and mutual adaptation). A professional certification process that involves observation of the practices of account managers ensures the institutionalization or internalization of the key account management code of conduct.
Effect of sampling frequency on measurements of seasonal primary production and oxygen status in near-shore coastal ecosystems

New automated in situ techniques were used for high-resolution time series measurement of primary production and water column oxygen concentration in near-shore coastal marine embayments. Results revealed 2-fold day-to-day fluctuations in measured phytoplankton production, and periodic changes in water column oxygen concentration as great as 100 pM occurring in a matter of a few hours. Effects of sampling frequency upon the determination of seasonal primary production and water column oxygen status were assessed by subsampling the high-resolution measurements at various intervals and reanalyzing of the deslred parameters using the lower-resolution data. Results indicate that ecosystem studies using classic measurement intervals (e.g. 30 d) may be undersampled 5to 30-fold with respect to both primary production and oxygen concentration, resulting in serious inaccuracies in data crucial to ecological and water quality studies.
Modelling the formation of transverse sand bars: application to Duck beach, USA

A morphodynamic model has been applied to explain the formation of transverse sand bars at Duck beach, USA. The model describes the feedback between waves, rollers, depth-averaged currents and bed evolution, so that self-organized processes can develop. The wave and bathymetric conditions measured at Duck are used to perform the simulations. Subsequently, modelled bar characteristics are compared with those observed there. Realistic positive feedback leading to formation of the observed bars only occurs if the resuspension of sediment due to bore turbulence is included in the model. Also, the offshore root mean square wave height must be larger than 0.5 m and the offshore wave incidence angle larger than 15 o (offshore boundary is at 8 m depth), conditions that occur at Duck only 25% of the time. The modelled shape (wavelength, cross-shore extent and crest orientation) and growth rate agree with data, but the model overestimates the migration rates.
To Intervene or Not to Intervene : An Investigation of Three TA Protocols in Usability Testing

This paper presents the results of a study investigating the use of three think-aloud methods in website usability testing: the concurrent think-aloud, the speech-communication, and the active intervention methods. These three methods were compared through an evaluation of a library website, which involved four points of comparison: overall task performance, test participants’ experiences, the quantity and quality of usability problems discovered, and the cost of employing the methods. Data were collected from 60 individuals, with 20 participants allocated to each testing method, who were asked to complete a set of nine experimental tasks. The results of the study revealed that the three variations enabled the identification of a similar number of usability problems and types. However, the active intervention method was found to cause some reactivity, modifying participants’ interaction with the interface, and negatively affecting their feelings towards the evaluator. The active intervention method also required much greater investment than did the other two methods in terms of evaluators' time.
Selection of Raw Material Suppliers Using Analytical Hierarchy Process in Food and Beverage Company, South Jakarta

The purpose of this research was to see the selection of raw material suppliers as an assessment of supplier performance. Data were obtained from the results of assessment of the experts in food and beverage company in South Jakarta. The rate selection of suppliers was based on several criteria. There was the suitability in some products with the demand for tolerance of 10% about mismatch delivery, 10% of the accuracy of the product delivery, 5% of products quality, 5% of product prices, 5% of the easiness of information or data, and 10% of the problem-solving action. The results show that 40% of suppliers get a warning letter regarding their performance from January to June 2016, 20% of suppliers have already gotten a reprimand directly from the company, 20% of suppliers have been deactivated from the list of suppliers, because they cannot meet the target value which equals to 4,05, only 20% of the supplier can maintain its performance.
Some morphological aspects of Asian honey bee (Apis cerana) and isolation of its melittin content

Melittin is a major component of honey bee venom that has many biological effects including anticancer properties. The melittin content of Asian honey bee ( Apis cerana F.) venom was isolated and quantify by reversed phase-high performance liquid chromatography (RP-HLPC) in Bangladesh. Melittin content was found to present in 59.3% of total venom content in Asian honey bee venom. Venom compounds were investigated at 254 nm and the retention time of venom-melittin was compared with an external standard (Sigma-Aldrich). This finding was compared with previously published findings. By comparing the present data with the earlier studied findings, a projection has been made on the quantification of melittin compound. J. Biodivers. Conserv. Bioresour. Manag. 2017, 3(2): 77-84
Use of Advance Driver Assistance System Sensors for Human Detection and Work Machine Odometry

Shadman Razzaq Siddiqui: Use of Advance Driver Assistance System Sensors for Human Detection and Work Machine Odometry Tampere University of technology Master of Science Thesis, 53 pages, 06 Appendix pages, May 2017 Master’s Degree Programme in Automation Engineering Major: Factory Automation and Industrial Informatics Minor: Learning and Intelligent Systems Examiner: Dr. Reza Ghabcheloo and Mika Hyvönen
Global damage identification based on vibration signatures applied to masonry structures

The present paper aims at damage assessment of masonry structures in an early stage. Two replicates of historical constructions were built in virgin state, one arch with 1.5 m span and one shear wall of 1 m. Afterwards, progressive damage was applied and sequential modal identification analysis was performed in each damage stage, aiming at finding adequate relations between changes in dynamical behaviour and internal crack growth. During the dynamic tests, accelerations and strains were recorded in many points of the replicates. Comparisons between different techniques based on vibrations measurements were made to evaluate which methods are the most suitable for identifying damage in masonry constructions.
A Novel Evolutionary Algorithm with Neighborhood Search for Project Portfolios Optimization Problem

This paper proposes a quantum-inspired evolutionary algorithm with neighborhood search (called QEANS) to solve the project portfolios optimization problem with limited multiple resources and bounded risks for each project portfolio. The decision concerns how to find an optimal or best assignment of projects to a set of project portfolios that maximizes the total profit. The studied problem is formulated by a 0-1 linear programming model, and a quantum-inspired evolutionary algorithm with neighborhood search is proposed to solve it. In specific, each problem solution is encoded by a Q-bits matrix, which is updated by quantum-rotation gate. In addition, crossover and mutation operators are integrated so as to increase the population diversity. Furthermore, an effective repairing procedure is proposed for dealing with the generated infeasible solutions. To prevent the local optimum, a specific neighborhood search procedure is also proposed. Randomly generated instances are used to test and justify the effectiveness of the proposed QEANS. The obtained results indicate that the proposed QEANS is effective.
The effects of agglomeration economies on technical efficiency of manufacturing firms: evidence from Indonesia

This article examines the effects of agglomeration economies and industrial structure upon firm-level technical efficiency in the Indonesian manufacturing industry over the period 2004–2009. A stochastic production frontier and three channels of agglomeration economies consisting of specialization, diversity and competition are used. The empirical results show that the effects of specialization and diversity upon firm-level technical efficiency are positive and negative, respectively, indicating that specialization is more favourable than diversity for stimulating firms’ technical efficiency. Competition has a positive sign, showing that region with high levels of competition tend to be more conducive in accelerating firm-level technical efficiency. In terms of firm location, both dummy for urban region and industrial complex turn out to be positive, indicating that firms located in both areas are experienced higher technical efficiency. Both firm size and age also have positive effect upon technical efficiency.
The Effect of Attribute-based Cultural Networks on Selection Dynamics in Popular Music

In this paper we integrate insights from cultural sociology, network theory, and computer science to reexamine evaluation outcomes in popular music. Using web-based tools to construct a data set that distills songs’ musical content into a set of discrete attributes, we test whether and how these attributes affect a song’s performance on the Billboard Hot 100 charts. Our analyses suggest that cultural attributes matter, beyond the effects of artist familiarity, genre affiliation, and social influence. More specifically, we find evidence that cultural networks, or the relational patterns formed between songs’ with shared attributes, play an important role in determining songs’ popularity. Songs that sound too similar to contemporaneous songs tend to suffer, while those that are optimally differentiated are more likely to appear atop the charts. These results contribute to the growing literature on endogenous cultural effects, prompting us to reconsider some of the basic mechanisms that drive consumption behavior. * For their valuable thoughts, comments, and support, we are grateful to Matt Bothner, Frederic Godart, Jenn Lena, John Levi Martin, Kevin Lewis, John Mohr, Klaus Weber, Alejandro Mantecón Guillén, The Echo Nest, and members of the University of Chicago’s Knowledge Lab and Northwestern University’s Institute on Complex systems (NICO).
Untold Stories of the Field and Beyond: Narrating the Chaos

Purpose – The Guest Editors’ intent with this special issue is to tell tales of the field and beyond, but all with the serious end of rendering visible the largely invisible. This paper aims to introduce the articles forming the special issue, as well as reviewing extant work that foregrounds the hidden stories and uncertainties of doing qualitative research.Design/methodology/approach – The authors advance their arguments through a literature review approach, reflecting on the “state of the field” with regard to doing research and offering new directions on reflexivity as an ethical consideration for conducting qualitative research.Findings – Far from consigning the mess entailed in doing qualitative research to the margins, there is much to be learned from, and considerable value in, a more thoughtful engagement with the dilemmas we face in the field and beyond, one that shows the worth of what we are highlighting to both enrich research practice itself and contribute to improving the quality of what we produce. Originality/value – This paper turns the spotlight onto the messiness and storywork aspects of conducting research, which are all too often hidden from view, to promote the kinds of dialogues necessary for scholars to share their fieldwork stories as research, rather than means to a publication end.
Study of Intelligent Photovoltaic System Fault Diagnostic Scheme Based on Chaotic Signal Synchronization

As the photovoltaic system consists of many equipment components, manual inspection will be very costly. This study proposes the photovoltaic system fault diagnosis based on chaotic signal synchronization. First, MATLAB was used to simulate the fault conditions of solar system, and the maximum power point tracking (MPPT) was used to ensure the system's stable power and capture and record the system fault feature signals. The dynamic errors of various fault signals were extracted by chaotic signal synchronization, and the dynamic error data of various fault signals were recorded completely. In the photovoltaic system, the captured output voltage signal was used as the characteristic values for fault recognition, and the extension theory was used to create the joint domain and classical domain of various fault conditions according to the collected feature data. The matter-element model of extension engineering was constructed. Finally, the whole fault diagnosis system is only needed to capture the voltage signal of the solar photovoltaic system, so as to know the exact fault condition effectively and rapidly. The proposed fault diagnostor can be implemented by embedded system and be combined with ZigBee wireless network module in the future, thus reducing labor cost and building a complete portable renewable energy system fault diagnostor.
COLLATION OF SECURITY FOR ASSORTED ATTACKS IN WIRELESS SENSOR NETWORKS

The rise of wireless sensor networks (WSN) as one of the predominant innovation slants in the nearing decades has postured various one of a kind difficulties to scientists. The sensing innovation joined with handling force and wireless correspondence makes it lucrative for being misused in future. The incorporation of wireless correspondence innovation too brings about different sorts of security dangers. The aim of this paper is to explore the security related issues, the difficulties and to propose some answers for secure the WSN against these security dangers. While the set of difficulties in sensor systems are assorted, this paper concentrate just on the difficulties identified with the security of sensor networks. This paper likewise also proposes a percentage of the security objective for Wireless Sensor Networks (WSN).
LA MAZORCA ( Fusarium moniliforme ) EN MAÍZ DE VALLES ALTOS , MÉXICO QTL MAPPING OF Fusarium moniliforme EAR ROT RESISTANCE IN HIGHLAND MAIZE , MÉXICO

La pudrición de la mazorca causada por Fusarium moniliforme ocasiona cuantiosas pérdidas en maíces (Zea mays L.) adaptados a los valles altos de México. Los objetivos de este trabajo fueron identificar loci para un carácter cuantitativo (QTL) asociados con la resistencia genética a F. moniliforme, sus posiciones y efectos en el genoma; investigar la consistencia de los QTL medidos en dos poblaciones y considerar su utilización en programas de selección asistida por marcadores moleculares (SAM). Se usaron 149 y 106 marcadores RFLPs para cartografiar dos poblaciones F2 de 238 y 206 individuos, respectivamente, de las cruzas simples entre dos líneas endogámicas de maíz (resistente x susceptible). En las familias F3 se registraron datos del porcentaje de infección de la mazorca, después de la inoculación artificial, en dos localidades del Edo. de México: El Batán y Santa Lucía, durante 1996 y 1997. El análisis de QTL se efectuó con el programa de cartografía de intervalo compuesto combinado. En la Población 1 se detectaron nueve QTL en los Cromosomas 1, 2, 3, 4, 6, 7 y 10 que explicaron entre 30% y 44% de la varianza fenotípica σ f 2 d i , y siete QTL en la Población 2, sobre los Cromosomas 1, 3, 4, 5, 6 y 7, que explicaron de 11% a 26% de σ f 2 . Trece de estos QTL mostraron significancia en la interacción QTL x Ambiente. Los tres QTL de los Cromosomas 3 y 6 coincidieron en ambas poblaciones. Por el número y pequeños efectos de los QTL detectados, y por el hecho de que éstos necesitan estar definidos en cada combinación de genotipos, el uso de la SAM para este carácter podría no ser una opción recomendable para aplicarla rutinariamente.