Miracle-dz/UniFAR-FTUs huggingface dataset:
Heat stress in cultivated plants: nature, impact, mechanisms, and mitigation strategies—a review

Abstract The progressive increase in the earth’s temperature due to anthropogenic activities is a major concern for humanity. The ensuing heat stress (HS) severely impacts plant growth, endangering ecosystem quality and world food security. Plant growth, physiological processes and final amount of edible products are affected by HS to an extent that reflects the physical damages, physiological commotions and biochemical alterations incurred at various growth stages. Therefore, a better understanding of plant behaviour in response to HS has pragmatic implications for devising counter-measures, alleviation strategies, and for acknowledging the differences between HS and the companion drought stress. Conventional breeding, biotechnological and molecular approaches are used to develop HS tolerant genotypes in plant species bred for food/feed uses. Recent achievements in the omics techniques result in a better knowledge of the molecular mechanisms involved in HS. However, shrewd management of crop practices is still helpful to improve plant resilience to HS. Suitable sowing time, seed priming, bacterial seed treatment, nutrient and water management, exogenous application of osmo-protectants, and conservation of soil moisture are important tools to improve plant behaviour under the critical HS scenarios determined by climate change and global warming.
Lexical-semantic integration by good and poor reading comprehenders

In this paper, we investigate the level of vocabulary knowledge and the lexical-integration ability of good and poor comprehenders at the 8th grade of Elementary School. The participants were assessed in the following tasks: reading comprehension, listening comprehension, decoding, vocabulary, lexical-semantic integration and incongruence detection. The performance comparison revealed that good comprehenders performed significantly better than poor comprehenders in the measures of vocabulary and integration. The difference in the accuracy of the integration tasks remained significant after controlling for word knowledge. The results suggest that good and poor comprehenders differentiate not only in lexical semantic knowledge but also in lexical-semantic processing.
Reliability and Validity of Questionnaire on Assessing the Aesthetic Perception of Design Motif Applied on Sarawak Pua Kumbu Cloth Using the Art Reception Survey (ARS)

The objective of this study was to assess the reliability of the Art Reception Survey (ARS) in measuring the aesthetic experience of a Pua Kumbu cloth among visitors who visited the textile museums in Kuching Sarawak. Using this instrument with 28 items grouped into 6 factors, the reliability was assessed by measuring its internal consistency using Cronbach’s alpha coefficient. Thirty (30) visitors served as respondents in this study, who were from various age groups and different geographic backgrounds. The results from the reliability analysis revealed that the factors had good internal consistency. Cronbach’s alpha coefficient ranged from α = . 672 to . 978. The results also indicate that Negative Emotion, Expertise and Positive Attraction produced a low intraclass correlation coefficient. Negative Emotion and the first items from two other factors revealed poor item-scale correlations. This study suggests the removal of the Negative Emotion factor, which was revealed to be irrelevant in measuring the aesthetic experience of the Pua Kumbu cloth, and of items 1 of both Expertise and Positive Attraction, making the remaining 21 items in the instrument reliable to measure the aesthetic experience of the respondents towards the Pua Kumbu cloth.
Discrete Time Analysis of Multi-Queue Systems with Multiple Departure Streams in Material Handling and Production under Different Service Rules

In this work, we present a modelling approach in order to depict service rules holistically. The developed model is called multi-queue system with multiple departure streams (MQSMDS). The MQSMDS is modelled as a discrete time Markov chain. On the basis of a numerical study, the system characteristics are evaluated. The results of this work enable a rapid and low-cost analysis of material handling and production systems as well as a fast and easy identification of suitable service rules.
Trade, Productivity and (Mis)Allocation

We examine the gains from globalization in the presence of firm heterogeneity and potential resource misallocation. We show theoretically that without distortions, bilateral and export liberalizations increase aggregate welfare and productivity, while import liberalization has ambiguous effects. Resource misallocation can either amplify, dampen or reverse the gains from trade. Using model-consistent measures and unique new data on 14 European countries and 20 industries in 1998-2011, we empirically establish that exogenous shocks to export demand and import competition both generate large aggregate productivity gains. Guided by theory, we provide evidence consistent with these effects operating through reallocations across firms in the presence of distortions: (i) Both export and import expansion increase average firm productivity, but the former also shifts activity towards more productive firms, while the latter acts in reverse; (ii) Both export and import exposure raise the productivity threshold for survival, but this cut-off is not a sufficient statistic for aggregate productivity; (iii) Efficient institutions, factor and product markets amplify the gains from import competition but dampen those from export access.
Networks and Opportunities: A Digital History of Ireland’s Great Famine Refugees in New York

For decades, historians portrayed the immigrants who arrived in the United States in the mid-nineteenth century fleeing the great Irish Famine as a permanent proletariat, doomed to live out their lives in America in poverty due to illiteracy, nativism, and a lack of vocational skills. Recent research, however, primarily by economic historians, has demonstrated that large numbers of Famine refugees actually fared rather well in the United States, saving surprising sums in bank accounts and making strides up the American socioeconomic ladder. These scholars, however, have never attempted to explain why some Famine immigrants thrived in the U.S. while others struggled merely to scrape by. Utilizing the unusually detailed records of New York’s Emigrant Savings Bank in conjunction with the methods of the digital humanities, this article seeks to understand what characteristics separated those Irish Famine immigrants who fared well financially from those who did not. Analysis of a database of more than 15,000 depositors suggests that networking was the key to economic advancement for the Famine immigrants. Those who lived in residential enclaves with other immigrants born in the same Irish parish saved significantly more than other immigrants, and those who created employment niches based on an Irish birthplace also amassed more wealth than those who did not. The electronic version of the article provides easy access to the database and interactive maps, allowing readers to ask their own questions of the data. The article also fleshes out the life stories of many of the immigrants found in the database, using documents found on genealogy websites such as Ancestry.com. These handwritten census records, ship manifests, and bank ledgers are hyperlinked to the electronic version of the article. That makes this essay ideal for classroom use—students can move effortlessly to the documents that underpin each paragraph and see clearly how historians use archival evidence to formulate arguments and shape historical narratives.
Attitudinal Components of Women Entrepreneurs’ Work-Life Balance Perception in Nigeria

This study examines the relationship between identified entrepreneurial attitudes and the feeling of Work-Life balance of women entrepreneurs in Nigeria. With the use of a modified combination of both the Entrepreneurial Attitude Orientation (EAO) scale and the work-life balance perception instrument administered on 328 women entrepreneurs across four states in South-Western Nigeria, it was discovered that women entrepreneurs generally have attitudes driven by needs for achievement, autonomy and affiliation. It was also discovered that Need for Autonomy Driven Attitude (NADA) has high, positive and significant correlations all the six role demand factors used (r = 0.213, p<0.01; r = 0.196, p<0.01; r = 0.129, p<0.05; r = 0.200, p<0.01; r = 0.151, p<0.01 and r = 0.176, p<0.01), while all the other attitudinal factors have significant relationships with one or more of the role factors. The study concludes that women entrepreneurs’ roles across domains are significantly related to their internalized attitude and recommends that women self-help groups should be encouraged to adopt communal motherhood usually embedded in the extended family system among others. This study examines the relationship between identified entrepreneurial attitudes and the feeling of Work-Life balance of women entrepreneurs in Nigeria. With the use of a modified combination of both the Entrepreneurial Attitude Orientation (EAO) scale and the work-life balance perception instrument administered on 328 women entrepreneurs across four states in South-Western Nigeria, it was discovered that women entrepreneurs generally have attitudes driven by needs for achievement, autonomy and affiliation. It was also discovered that Need for Autonomy Driven Attitude (NADA) has high, positive and significant correlations all the six role demand factors used (r = 0.213, p<0.01; r = 0.196, p<0.01; r = 0.129, p<0.05; r = 0.200, p<0.01; r = 0.151, p<0.01 and r = 0.176, p<0.01), while all the other attitudinal factors have significant relationships with one or more of the role factors. The study concludes that women entrepreneurs’ roles across domains are significantly related to their internalized attitude and recommends that women self-help groups should be encouraged to adopt communal motherhood usually embedded in the extended family system among others. Keywords: Women Entrepreneurs; Work-Life Balancing; Entrepreneurial Attitude; Nigeria
Three Dimensional Gait Assessment During Walking of Healthy People and Drop Foot Patients

The aim of the present study is to clinical gait analysis of normal human and drop foot patients. Gait analysis is the systematic study of animal locomotion , more specifically the study of human motion, using the eye and the brain of observers, augmented by instrumentation for measuring body movements, body mechanics , and the activity of the muscles. Gait analysis is used to assess, plan, and treat individuals with conditions affecting their ability to walk. Foot drop is a deceptively simple name for a potentially complex problem. It can be defined as a significant weakness of ankle and toe dorsiflexion. The foot and ankle dorsiflexors include the tibialis anterior, the extensor hallucis longus (EHL), and the extensor digitorum longus (EDL). These muscles help the body clear the foot during the swing phase and control plantar flexion of the foot at heel strike
A Study on the Energy Efficiency of Matrix Transposition Algorithms

Energy consumption is becoming a serious concern in the context of software development. Recent works have shown that the energy consumption of an algorithm not only depends on its running time but also on its number of memory accesses. This suggests that the total energy consumed by an algorithm can be modelled as a linear combination of the energy consumed by the CPU instructions and memory accesses. In this work, we empirically analyse several algorithms for matrix transposition operation with different patterns of low-level cache access, and compare them in terms of energy consumption and running time with respect to CPU instructions and memory accesses for different matrix sizes. Moreover, we analyse the effect of parallelization on energy consumption and running time performance of different memory access patterns. Our results suggest that different memory access patterns and the number of activated cores in the parallel version have a strong influence on the energy consumption and on the cache performance of these algorithms.
A case of brainstem encephalitis treated with plasmapheresis

DOI: 10.4328/JCAM.5390 Received: 26.09. 2017 Accepted: 27.11. 2017 Publihed Online: 27.11. 2017 Printed: 01.05. 2018 J Clin Anal Med 2018;9(3): 235-8 Corresponding Author: Nagehan Aslan, Çocuk Yoğun Bakım Bilim Dalı, Çukurova Üniversitesi Tıp Fakültesi, Sarıçam, Adana, Türkiye. GSM: +905055499986 E-Mail: nagehan_aslan@hotmail.com Abstract Brain stem encephalitis is a rare disease, which can be triggered by infection, with an unclear etiology, in which infectious and autoimmune mechanisms are thought to play a role in the pathogenesis [1]. Major clinical symptoms are ataxia, muscle weakness and ocular and bulbar dysfunction [2]. Its etiology can vary from infection to autoimmune reasons. Listeria, enterovirus type 71 and Herpes simplex virus are the most common infectious causes. It may also be caused by neurobehcets, Bickerstaff’s encephalitis, autoimmune diseases such as multiple sclerosis and paraneoplastic reasons [3-5]. With those in mind, the underlying etiology is unclear in most cases [2]. Treatment is based on etiology. Immunosuppressive treatment can be tried in brain stem encephalitis patients whose etiology can not be made clear [6]. In this case report, we present a case of brainstem encephalitis which did not respond to the present treatment and was treated with plasmapheresis.
Comparison of Different Techniques to Calculate Properties of Atmospheric Turbulence from Low-Resolution Data

In this work we study different techniques to estimate basic properties of turbulence, that is its characteristic velocity and length scale from low-resolution data. The methods are based on statistics of the signals like the velocity spectra, second-order structure function, number of signal’s zero-crossings and the variance of velocity derivative. First, in depth analysis of estimates from artificial velocity time series is performed. Errors due to finite averaging window, finite cut-off frequencies and different fitting ranges are discussed. Next, real atmospheric measurement data are studied. It is demonstrated that differences between results of the methods can indicate deviations from the Kolmogorov’s theory or the presence of external intermittency, that is the existence of alternating laminar/turbulent flow patches.
A Framework for RAN Performance Evaluations based on Software Defined Radio

In this paper we provide an overview of a comprehensive performance evaluation framework for RANs (radio access networks) based on SDR (software defined radio) equipment and corresponding open-source protocol stack implementations. The system setup is combined with radio channel emulations by means of dynamic pathloss adaptation that is controlled by channel quality measurements obtained from a live mobile radio network. The paper addresses LTE performance evaluations. The general framework concept is however not restricted to a specific RAT (radio access technology) due to the inherent flexibility provided by SDR concepts. The paper provides a detailed description of the framework and presents results of an exemplary performance study. We furthermore discuss different use cases for the developed evaluation framework.
Living Arrangements of the Elderly in China and Their Depressions

We study the living arrangements and consequences for depression of the elderly in China using data from the CHARLS in 2013 and 2015. It uses pooled regression and Two-way FE model to analyze the depression of elderly between different living arrangements. We study people in the sample age sixty and older, find that different living arrangements affect life depression of elderly, and compared to living with one or more grown children, elderly respondents living nearby grown children have least depression, especially in the same village or neighborhood. We believe that with the development and progress of society, elderly living with their children will not make the elderly more satisfied with their lives.
Optimal Monetary Policy in Small Open Economies: Producer Currency Pricing

We establish the share of exports in production as a sufficient statistic for optimal noncooperative monetary policy. Under financial autarky, markups positively co-move with the export share. For complete markets, markups should be procyclical if the export share is procyclical. When central banks cooperate, markups are constant under complete markets, and countercyclical under financial autarky.
Reflections on the theory and practice of democratic innovations

Bringing this impressive collection to a close, the concluding chapter offers critical reflections on how the field of study has matured. The concept of democratic innovations may lack conceptual precision, but it is a term that continues to resonate with academics, activists, practitioners and policy makers. A defining characteristic of the study of democratic innovations is its growing methodological sophistication, although more sustained attention is needed to trace the various impacts and outcomes of forms of participatory governance. Increasing engagement across academic boundaries to fully embrace the investigation of emerging digital formations and modes of participation in the economic realm and social movements will strengthen our understanding of the potential of participatory democracy. The chapter ends with the provocative question of whether the almost hegemonic status of deliberative democracy is healthy for the analysis of democratic innovations.
Beyond 5G: THz Spectrum Futures and Implications for Wireless Communication

There have been substantial technical and policy discussions about the spectrum needs of 5G and the necessity of expanding access to the higher frequency spectrum, including in the millimeter wave bands from 30 to 300 GHz. The focus, however, has been on bands below 60GHz, or at most 90GHz, which is the current limit of near-commercial technologies. As wireless markets continue to grow, demand may arise for spectrum in still higher frequency bands above 90GHz, including in the sub-millimeter Terahertz (THz) bands between 300GHz and 3THz. Although exploiting THz bands is at the frontiers of technical research today and the commercial case for it will depend on further demonstration of the value and constraints, it is worthwhile exploring how THz spectrum might impact wireless network architectures, business/usage cases, and spectrum policy. In this paper, we explore that challenge. We first explain some of the critical features of THz spectrum that make it both attractive and challenging to use and summarize the current state of our ability to address those challenges by reference to the current engineering research and commercialization progress on exploiting millimeter wave and higher frequencies. For example, the THz spectrum would offer virtually unbounded capacity (relative to today's demand forecasts) for supporting wide-channels and extremely high data rates, but with demanding Line of Sight (LOS) requirements. THz devices operate in very narrow beams, close to optical wavelengths, and have very limited capability to penetrate materials (e.g., even a sheet of paper is sufficient to block it). Integrating such spectrum into wireless networks will impose important requirements for antenna siting (small cell architectures) and backhaul, posing greater challenges for extending core-network services to edge-networks. We hypothesize that such spectrum may further empower equipment-based, end-user deployed strategies for deploying wireless networking, with interesting implications for industry structure and regulatory policy. Furthermore, because current spectrum policies are limited to radio frequencies below 300GHz (arguably below 90GHz), THz is the green-field frontier for spectrum policy-making. This offers an opportunity for novel thinking about how best to manage spectrum resources to enable efficient sharing. Moreover, shifting wireless services to THz might free up 1 Rohit Singh (rohits1@andrew.cmu.edu) corresponding author and Douglas Sicker (sicker@cmu.edu). This project was funded by CMU Portugal Program: CMU/TMP/0013/2017THz Communication for Beyond 5G Ultra-fast Networks. We will like to acknowledge Dr. William Lehr for his discussion and insights with the authors.
HYPA: E�cient Detection of Path Anomalies in Time Series Data on Networks

The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fact, been extensively studied in categorical sequences. However, we often have access to time series data that represent paths through networks. Examples include transaction sequences in ﬁnancial networks, click streams of users in networks of cross-referenced documents, or travel itineraries in transportation networks. To reliably detect anomalies, we must account for the fact that such data contain a large number of independent observations of paths constrained by a graph topology. Moreover, the heterogeneity of real systems rules out frequency-based anomaly detection techniques, which do not account for highly skewed edge and degree statistics. To address this problem, we introduce HYPA, a novel framework for the unsupervised detection of anomalies in large corpora of variable-length temporal paths in a graph. HYPA provides an e�cient analytical method to detect paths with anomalous frequencies that result from nodes being traversed in unexpected chronological order.
Crystal Structure Dependence of the Energy Transfer from Tb(III) to Yb(III) in Metal–Organic Frameworks Based in Bispyrazolylpyridines

Luminescent mixed lanthanide metal−organic framwork (MOF) materials have been prepared from two polyheterocyclic diacid ligands, 2,6-bis(3-carboxy-1-pyrazolyl)pyridine and 2,6-bis(4-carboxy-1-pyrazolyl)pyridine. The crystal structures of the two organic molecules are presented together with the structures for the MOFs obtained by hydrothermal synthesis either with Yb(III) or mixed Tb(III)/Yb(III) ions. Different coordination architectures result from each ligand, revealing also important differences between the lanthanides. The mixed lanthanide metal−organic frameworks also present diverse luminescent behavior; in the case of 2,6-bis(4-carboxy-1-pyrazolyl)pyridine, where no coordinated water is present in the metal environment, Tb(III) and Yb(III) characteristic emission is observed by excitation of the bispyrazolylpyridine chromophore.
Leading reading improvements through professional learning

ABSTRACT This article discusses the impact of a professional learning activity called the Principals as Literacy Leaders (PALL) program on the strategies used by primary school leaders to support teacher professional learning with the view of assisting students to become more able readers. It uses data collected from participants in the PALL program, together with case study data collected from school leaders and teachers in seven schools, to analyze the actions taken by school leaders to improve teaching practices through professional learning. The study showed that school leaders felt more capable in their ability to lead their schools after completing the PALL program and that strategic professional learning activity led to improved teaching practices and higher levels of student engagement and achievement in reading. It showed that leaders used elements of the Leadership for Learning approach as key activities for supporting professional learning.