Miracle-dz/UniFAR-FTUs huggingface dataset:
INDUÇÃO DE TOLERÂNCIA À ALTA TEMPERATURA DE SECAGEM EM SEMENTES DE MILHO POR MEIO DE PRÉ-CONDICIONAMENTO À BAIXA TEMPERATURA

Sementes de milho maduras, sob condicao de secagem natural, perdem agua lentamente e tornam-se mais tolerantes a temperaturas de secagem mais elevadas, em consequencia da ocorrencia de mudancas fisicas, fisiologicas e bioquimicas. O objetivo do presente trabalho foi investigar os efeitos do pre-condicionamento de sementes de milho, por meio de pre-secagem sob temperatura de 35oC, sobre a tolerância a secagem a 50oC. Para tanto, sementes de milho de tres cultivares, colhidas com teores de agua de 42,3%, de 37,2% e de 34,2%, foram submetidas a pre-secagem a 35oC (precondicionamento), por periodos de 0, 4, 8, 16, 24, 32, 40, 48 e 56 horas, antes da secagem conduzida a 50oC ate 12% de teor de agua. Apos os periodos de pre-condicionamento, embrioes foram analisados quanto aos conteudos de glicose, sacarose e estaquiose. Apos a secagem a 50oC, as sementes foram avaliadas por testes de germinacao, de primeira contagem de germinacao, de frio, de condutividade eletrica, de peso de materia seca de plântula e de comprimento de plântula. Em uma das cultivares foi determinada a atividade da enzima α -amilase. As sementes recem colhidas sao tolerantes a 35oC e intolerantes a 50oC, mas tornam-se tolerantes a essa temperatura apos a pre-secagem a 35oC (precondicionamento) ate que atinjam teores de agua entre 25,3 e 28,5%. As sementes intolerantes a 50oC apresentam menores germinacao, vigor e atividade enzimatica. Coincidentemente com a aquisicao de tolerância a 50oC, ocorrem a diminuicao de glicose e o aumento de rafinose; o conteudo de sacarose parece nao sofrer alteracao durante a transicao do estado de intolerância para o de tolerância.
The intersection of national human resource development and skills training in the tourism industry : A Jamaican perspective

The growing interest in national human resource dev elopment (NHRD) is increasingly considering unique cultural and economic context co nditions and the influence this may have on a number of employment related indicators. To date , NHRD literature has largely ignored issues related to skills training and workforce developmen t i the tourism industry, despite the expanding nature of this dynamic service sector in ma y nations. This literature review study of NHRD in Jamaica examined on-going national level HR D initiatives paying close attention to the tourism industry. Conclusions include that in Jamaica the NHRD agenda may be driven by the tourism industry. 1 1954 Buford Ave, Room 425K, St. Paul, MN 55108, Un ited States of America
QUALITY‐OF‐LIFE CHANGES AND PSYCHIATRIC AND NEUROCOGNITIVE OUTCOME AFTER HEART AND LIVER TRANSPLANTATION

A prospective study compared psychiatric, neurocognitive, and quality-of-life changes of heart and liver transplant patients. The 51 heart and 61 liver transplant candidates and recipients completed the Beck depression inventory (BDI), state-trait anxiety inventory (STAI), sickness impact profile (SIP), mini-mental state (MMS), California verbal learning test (CVLT), Wisconsin card sorting test (WCST), trailmaking test (TMT), and the impact message inventory (IMI). Data were gathered before transplant and at 3-month intervals for up to 1 year after transplant. Psychometric tests scores were correlated with electroencephalograms for the liver patients. Both groups showed significant improvements after transplant in neurocognitive functioning, depressive symptoms, and quality of life.
Assessment of tissue edema in patients with acute myocardial infarction by computer‐assisted quantification of triple inversion recovery prepared MRI of the myocardium

The aim of this study was to design a computer algorithm to assess the extent of cardiac edema from triple inversion recovery MR images of the human left ventricular myocardium. Twenty‐one patients presenting with acute myocardial infarction were scanned within 48 h of the onset of symptoms. Eight patients were scanned a second time, 4 weeks after the initial event. Myocardial edema was detected in 27 of 29 studies using visual contour‐based manual segmentation. A reference standard, created from the segmentations of three raters by voxel‐wise majority voting, was compared to the edema mass estimates obtained using a newly developed computer algorithm. At baseline (n = 20), the reference standard yielded an edema mass of 16.4 ± 15.0 g (mean ± SD) and the computer algorithm edema mass was 16.4 ± 12.6 g. At follow‐up (n = 7), the reference standard edema mass was 7.1 ± 4.4 g compared to 16.3 ± 7.7 g at baseline. Computer algorithm estimates showed the same pattern of change with 5.7 ± 5.7 g at follow‐up compared to 20.8 ± 13.8 g at baseline. Although there was a significant degree of discrepancy between reference standard and computer algorithm estimates of edema mass in individual patients, their overall agreement was good, with intraclass correlation coefficient ICC(3, 1) = 0.753. Magn Reson Med, 2010. © 2011 Wiley‐Liss, Inc.
Efektivitas Dialog Jumat Sebagai Model Pembuatan Kebijakan Publik Deliberatif di Kabupaten Bojonegoro

The purpose of this research is to know the effectiveness of the Dialog Jumat as a model of deliberative public policy making in Bojongoro District. This research is based on the factor of deliberative democratic practice in Indonesia. Based on the objectives to be achieved, this research includes the type of descriptive research that presents and provides a detailed description of the effectiveness of the Dialog Jumat as a deliberative public policy in Bojongoro District. this research includes qualitative research in which this method is more based on emerging social phenomena and the use of an inductive frame of mind in order to make observations and draw conclusions. The research sites are located in the Office of Communications and Informatics, Regional Development Planning Agency, Public Relations and Protocol and Pendopo Malowopati. The technique of determining the informants using purposive sampling considering the accuracy and adequacy of information obtained from informants and then using the snowball technique. Data collection method in this research is observation, interview and documentation. Technique examination of data validity in this research using triangulation technique that is collecting data from different source different from problem which is studied to then compare and technique of data analysis by reducing, presenting data and drawing conclusion.Dialog Jumat is an open space for the community with the Bojongoro district government to communicate directly in order to influence and create a common policy. In the effectiveness of the Dialog Jumat as a model of deliberative public policy making in Bojongoro Regency it uses deliberative public policy theory from Carson and Karp. From the results of this study found that Dialog Jumat in Bojongoro successfully involving the role of the community Bojongoro participate in influencing and making the existing policy. So it can be concluded that Dialog Jumat is a role model of deliberative democracy in Indonesia
Manifold Regularized Multi-view Subspace Clustering for image representation

Subspace clustering refers to the task of clustering a collection of points drawn from a high-dimensional space into a union of multiple subspaces that best fits them. State-of-the-art approaches have been proposed for tackling this clustering problem by using the low-rank or sparse optimization techniques. However, most of the traditional subspace clustering methods are developed for single-view data and are not directly applicable to the multi-view scenario. In this paper, we present a Manifold Regularized Multi-view Subspace Clustering (MRMSC) method to better incorporate the correlated and complementary information from different views. MRMSC yields a unified affinity representation by joint optimization across different views. To respect the data manifold locally, the graph Laplacian is constructed to maintain the intrinsic geometrical structure of each view. In the multi-view integration, a sparsity constraint is imposed to the unified affinity representation in order to better reflect the data relationship from multiple views or features. In experiments, we compared the performance of clustering using MRMSC with the single-view and concatenate-multi-view methods on different datasets. The results showed that better clustering performance can be achieved by fusing the multiple features with a unified affinity representation by MRMSC.
The impact of fiscal rules on sustainable development of the Visegrad Group countries

The research question presented in this analysis focuses on national fiscal rules applicable in the VisegrAid Group, also called V4, Czech Republic, Hungary, Poland and Slovakia as expressed in the European standardised fiscal rules index and on their impact on the socio-economic policy, expressed by indicators relating to the condition of public finance, economic results and sustainability finance indicators. The use of fiscal rules as an instrument of fiscal sustainability is manifested by imposing the requirements as regards to borrowing and the costs of public debt service. A high level of debt can cause social development expenditure to be crowded out, contributing to growing development disparities in social and economic terms.
Securing and scaling cryptocurrencies

Bitcoin, a protocol for a new permissionless decentralized digital currency hailed the arrival of a new application domain for computer science. Following Bitcoin's arrival, a series of innovations derived from the state of the art in several fields has been applied to cryptocurrencies, and has been slowly reshaping monetary and financial instruments on public distributed ledgers. It was soon clear however that Bitcoin and similar cryptocurrencies still require additional improvements. This challenging domain presents researchers in the field with new and exciting questions. I provide examples from two main research threads, related to the scalability of the protocol and to its underlying incentives.
Environnement actif pour la reconstruction tridimensionnelle de surfaces métalliques spéculaires par imagerie polarimétrique

Cette these est consacree a la conception et au developpement d'un systeme de reconstruction tridimensionnelle d'objets metalliques speculaires par imagerie polarimetrique. Nous presentons tout d'abord une extension de la technique de “Shape from Polarization” aux surfaces metalliques. Apres reflexion sur la surface, la lumiere inci- dente non polarisee devient partiellement lineairement polarisee, en fonction de l'angle d'incidence et de l'indice de refraction du materiau. Ainsi, les normales de la surface sont calculees a partir des parametres de polarisation de la lumiere reflechie. L'ambiguite concernant l'orientation des normales est ici levee grâce a un eclairage actif. Nous decrivons et comparons ensuite differentes methodes de reconstruction tridimensionnelle de surfaces a partir d'un champ de normales. Pour finir, nous detaillons precisement le prototype developpe, et nous en presentons une application pour la detection de defauts de forme.
Effectiveness of Telephone-Based Counseling for Improving the Quality of Life Among Middle-Aged Women

Perimenopausal women may encounter multidimensional changes that influence their quality of life. Our purpose in this study was to evaluate the long-term effects of telephone counseling as a method of intervention for menopausal women. A parallel group controlled trial was designed. The intervention group showed a significant increase in self-health management at the four- and eight-month follow-up evaluations. The quality of life in the intervention group was significantly improved when measured during the eighth and twelfth months. Results of this study can be used as a basis for practical implementation of the telephone counseling service in middle-aged women elsewhere.
Efficacy of tripterygium glycosides on experimental autoimmune myasthenia gravis in rats

This study aimed to explore the therapeutic efficacy of tripterygium glycosides for experimental autoimmune myasthenia gravis (EAMG). EAMG model was established in rats, and the rats were divided into complete Freund’s adjuvant group, EAMG model group and tripterygium glycosides treatment group. All rats were evaluated by Lennon scoring and body mass monitoring. We found that the treatment with tripterygium glycosides improved the clinical symptoms of myasthenia gravis, reduced Lennon score but increased body mass. Furthermore, tripterygium glycosides effectively reduced the activities of specificity-activated antigen-reactive T cells and the expression and secretion of pro-inflammatory cytokines such as IL-17 and IFN-γ. In conclusion, tripterygium glycosides are a promising agent for the treatment of autoimmune myasthenia gravis.
The Economics of Regulating Ride-Hailing and Dockless Bike Share

This paper reviews the economic case for regulating ride-hailing and dockless bikeshare. Ride-hailing has disrupted heavily regulated taxi markets and is calling much of the rationale for taxi regulation into question. It argues for light-handed regulation to enable fair, nondistorting competition across the sector. A similar approach to bikeshare is needed, though the context differs greatly. These services are creating new mobility options, while their business models are evolving rapidly. Regulators should adopt a cautious approach which minimises the risk of undermining their potential.
Posttranscriptional Control of Photosynthetic mRNA Decay under Stress Conditions Requires 3′ and 5′ Untranslated Regions and Correlates with Differential Polysome Association in Rice1[W][OA]

Abiotic stress, including drought, salinity, and temperature extremes, regulates gene expression at the transcriptional and posttranscriptional levels. Expression profiling of total messenger RNAs (mRNAs) from rice (Oryza sativa) leaves grown under stress conditions revealed that the transcript levels of photosynthetic genes are reduced more rapidly than others, a phenomenon referred to as stress-induced mRNA decay (SMD). By comparing RNA polymerase II engagement with the steady-state mRNA level, we show here that SMD is a posttranscriptional event. The SMD of photosynthetic genes was further verified by measuring the half-lives of the small subunit of Rubisco (RbcS1) and Chlorophyll a/b-Binding Protein1 (Cab1) mRNAs during stress conditions in the presence of the transcription inhibitor cordycepin. To discern any correlation between SMD and the process of translation, changes in total and polysome-associated mRNA levels after stress were measured. Total and polysome-associated mRNA levels of two photosynthetic (RbcS1 and Cab1) and two stress-inducible (Dehydration Stress-Inducible Protein1 and Salt-Induced Protein) genes were found to be markedly similar. This demonstrated the importance of polysome association for transcript stability under stress conditions. Microarray experiments performed on total and polysomal mRNAs indicate that approximately half of all mRNAs that undergo SMD remain polysome associated during stress treatments. To delineate the functional determinant(s) of mRNAs responsible for SMD, the RbcS1 and Cab1 transcripts were dissected into several components. The expressions of different combinations of the mRNA components were analyzed under stress conditions, revealing that both 3′ and 5′ untranslated regions are necessary for SMD. Our results, therefore, suggest that the posttranscriptional control of photosynthetic mRNA decay under stress conditions requires both 3′ and 5′ untranslated regions and correlates with differential polysome association.
The relationship between university student learning outcomes and participation in social network services, social acceptance and attitude towards school life

Educators try to use social network services (SNSs) in their teaching because they are regarded as beneficial to student learning. However, little research to date has empirically investigated whether the use of an SNS increases university student learning outcomes. A total of 730 university students in the capital area of South Korea participated in the present study. Based on social learning theory, we developed a general structural model that included SNS participation (SP) as an exogenous variable and a range of endogenous variables: cognitive domain learning outcomes, affective domain learning outcomes, social domain learning outcomes, social acceptance (SA) and attitude towards university life (AT). The study results confirmed that the model adequately explained causal relationships between student learning outcomes and SA, AT and SP. SA was identified as a key variable because of its direct effect on learning outcomes. However, SP was considered more important because of its large indirect effects on all learning outcomes through both SA and AT.
Recurrent Neural Network Structured Output Prediction for Spoken Language Understanding

Recurrent Neural Networks (RNNs) have been widely used for sequence modeling due to their strong capabilities in modeling temporal dependencies. In this work, we study and evaluate the effectiveness of using RNNs for slot ﬁlling, a key task in Spoken Language Understanding (SLU), with special focus on modeling label sequence dependencies. Recent work on slot ﬁlling using RNNs did not model label sequence dependencies explicitly. We propose to introduce label dependencies in model training by feeding previous output label, using a sampling approach on true and predicted labels, to the current sequence state. The revised RNN model is evaluated on slot ﬁlling task using standard ATIS dataset. Our results show that the proposed methods consistently outperform the baseline RNN system. Error analysis illustrates clear advantages of learning output sequence dependencies in RNN sequence modeling.
Down syndrome and postoperative complications after paediatric cardiac surgery: a propensity-matched analysis.

OBJECTIVES The incidence of congenital heart disease is ~50%, mostly related to endocardial cushion defects. The aim of our study was to investigate the postoperative complications that occur after paediatric cardiac surgery. METHODS Our perioperative data were analysed in paediatric patients with Down syndrome undergoing cardiac surgery. We retrospectively analysed the data from 2063 consecutive paediatric patients between January 2003 and December 2008. After excluding the patients who died or had missing data, the analysed database (before propensity matching) contained 129 Down patients and 1667 non-Down patients. After propensity matching, the study population comprised 222 patients and 111 patients had Down syndrome. RESULTS Before propensity matching, the occurrences of low output syndrome (21.2 vs 32.6%, P = 0.003), pulmonary complication (14 vs 28.7%, P < 0.001) and severe infection (11.9 vs 22.5%, P = 0.001) were higher in the Down group. Down patients were more likely to have prolonged mechanical ventilation [median (interquartile range) 22 (9-72) h vs 49 (24-117) h, P = 0.007]. The total intensive care unit length of stay [6.9 (4.2-12.4) days vs 8.3 (5.3-13.2) days, P = 0.04] and the total hospital length of stay [17.3 (13.3-23.2) days vs 18.3 (15.1-23.6) days, P = 0.05] of the Down patients were also longer. Mortality was similar in the two groups before (3.58 vs 3.88%, P = 0.86) and after (5.4 vs 4.5%, P = 1.00) propensity matching. After propensity matching, there was no difference in the occurrence of adverse events. CONCLUSIONS After propensity matching Down syndrome was not associated with increased mortality or complication rate following congenital cardiac surgery.
Measurement-based multi-call voice frame grouping in Internet telephony

Grouping voice frames from multiple calls into a single packet as a means to reduce the bandwidth requirement for IP voice calls is investigated. It is demonstrated that TCP-style Internet delay prediction can be instrumental to regulate the number of frames in each packet in a manner to minimize late losses of the frames under fast undulating Internet delay. The performance of the adaptive scheme is compared against those of fixed grouping cases with varying degrees of aggressiveness.
CORPORATE GOVERNANCE AND FIRM PERFORMANCE NEXUS: A CASE OF CEMENT INDUSTRY OF PAKISTAN

Corporate governance is the system of rules, practices and method by that business corporations are directed and controlled. The aim of this research is to examine the impact of the corporate governance on the financial performance of the enlisted cement industry on the Pakistan Stock Exchange from the year 2013-17. This research is a â€œquantitative researchâ€ which focuses on numbers and results based on empirical analysis of actual data and logic. Ten out of seventeen cement firms listed at PSX from the period 2013-17 are selected as sample of the study. Data was collected from documents and records. Descriptive statistics, Pearsonâ€™s correlation and multiple regressions were used for data analysis. The results showed that there is no significant relationship between leverage and firm performance, the board structure has no significant relationship with firm performance, and firm size has an insignificant relationship with firm performance. The results however suggested that ownership structure has significant relationship with firm performance. The future investors in cement industry of Pakistan must consider above factors before investments. This study helps shareholders and management in decision making about the effect of ownership structure on firm performance and how these can change ownership structure. This study helps students to gain knowledge and understanding about good corporate governance and its impact on firm performance. It will also help them to go through the annual reports of companies and to analyse the financial statements so that they could learn how to analyse the performance of the firm in terms of ROE. Moreover, the study would also be a direction for future researchers and students to further add value to the subject of corporate governance and firm performance.
Neural Machine Translation Training in a Multi-Domain Scenario

In this paper, we explore alternative ways to train a neural machine translation system in a multi-domain scenario. We investigate data concatenation (with fine tuning), model stacking (multi-level fine tuning), data selection and multi-model ensemble. Our findings show that the best translation quality can be achieved by building an initial system on a concatenation of available out-of-domain data and then fine-tuning it on in-domain data. Model stacking works best when training begins with the furthest out-of-domain data and the model is incrementally fine-tuned with the next furthest domain and so on. Data selection did not give the best results, but can be considered as a decent compromise between training time and translation quality. A weighted ensemble of different individual models performed better than data selection. It is beneficial in a scenario when there is no time for fine-tuning an already trained model.
Semi-Definite Programming Based Pulse Shaping Algorithm in IEEE 802.15.4a

In order to increase the peak transmission data rate of Zigbee and expand its application scenario, IEEE 802.15. 4a standard has been proposed in 2007, and ultra-wideband (UWB) technique has been selected as one of its physical layer standard. The performance of wireless sensor networks (WSN) will be affected by the pulse waveform transmitted in the channel, hence, in this paper, the Chinese regulation for UWB devices is firstly given, and then, a semi-definite programming based pulse shaping algorithm to comply with such regulation is proposed. Simulation results show that the proposed algorithm can comply with the given regulation with high power efficiency, which can increase the signal to noise ratio (SNR) in the receiver end.