nils-herrmann/clean_scirepeval huggingface dataset:
Attitude of Graduate Youths Towards Agro allied Skill Acquisition and Entrepreneurship Development Programme in Oyo State
Year: 2019

The paper investigated the agro allied aspect of the Skill and Entrepreneurship Development (SAED) programme of the National Youth Service Corps in Oyo State. Specifically, the study examined the personal characteristics of the corps members, determined the attitude of the corps members to agro allied activities of the SAED and identified challenges facing corps members in executing the agro allied activities. Pre tested questionnaire was used to elicit information from 100% of the SAED participants which gave a total of 82 graduate youths. Data were analysed using descriptive and inferential statistics. The majority (67.1% of the youths were female. More than half (54.9% of the youths were in the age category of 24 26 with more than 62.7% having Bachelor of Science/Technology degree. Only 17.1% of the youths had a degree in agriculture. Majority (79.3% of the youths were into livestock production and 20.7% chose agricultural engineering. Financial independency and ability to manage resources (67.6% ability to innovate and inspire other youths (12.0% were the major motivations of youth. The majority (64.0%)of the corps members are favourably disposed towards the programme. Challenges to entrepreneurship were poor supervision of the programme by National Youth Service Corps officials x =1.89) lack of sufficient facilities for training (x =1.85),inconsistence government policies (x =1.84) incompetence of some of the facilitators x =1.74) and lack of motivational support by government and other stakeholders (x =1.73) Sex (kh2 =21.07) educational qualification (kh2 =7.47) and marital status (kh2 =5.72) had significant association with attitude. Youth attitude and benefits derived from SAED programme were found to be significant (r=0.38) For further involvement and positive attitude of graduate youths to agro allied skill set of SAED, financial assistance, supervision, monitoring and psychological motivation should be improved upon by stakeholders and government during and after the youths service year so as to encourage more graduate youths to take up agriculture and agribusiness as a profession and means of livelihood. Engaging graduate youth in agriculture and retaining them in the sector is a strategy that could both contribute to increasing agricultural productivity and address youth unemployment.  Entrepreneurship Development, Graduates Youth, Attitude and Employment.
Platform Centric Self Awareness as a Key Enabler for Controlling Changes in CPS
Venue: Proceedings of the IEEE
Year: 2018

Future cyber physical systems will host a large number of coexisting distributed applications on hardware platforms with thousands to millions of networked components communicating over open networks. These applications and networks are subject to continuous change. The current separation of design process and operation in the field will be superseded by a life long design process of adaptation, infield integration, and update. Continuous change and evolution, application interference, environment dynamics and uncertainty lead to complex effects which must be controlled to serve a growing set of platform and application needs. Self adaptation based on self awareness and self configuration has been proposed as a basis for such a continuous in field process. Research is needed to develop automated in field design methods and tools with the required safety, availability, and security guarantees. The paper shows two complementary use cases of self awareness in architectures, methods, and tools for cyber physical systems. The first use case focuses on safety and availability guarantees in self aware vehicle platforms. It combines contracting mechanisms, tool based self analysis and self configuration. A software architecture and a runtime environment executing these tools and mechanisms autonomously are presented including aspects of self protection against failures and security threats. The second use case addresses variability and long term evolution in networked MPSoC integrating hardware and software mechanisms of surveillance, monitoring, and continuous adaptation. The approach resembles the logistics and operation principles of manufacturing plants which gave rise to the metaphoric term of an Information Processing Factory that relies on incremental changes and feedback control. Both use cases are investigated by larger research groups. Despite their different approaches, both use cases face similar design and design automation challenges which will be summarized in the end. We will argue that seemingly unrelated research challenges, such as in machine learning and security, could also profit from the methods and superior modeling capabilities of self aware systems.
PENGARUH LITERASI KEUANGAN DAN GAYA HIDUP TERHADAP CASHLESS TRANSACTION BEHAVIOR (STUDI PADA KARYAWAN SEKRETARIAT DAERAH KABUPATEN BLORA)
Year: 2020

The purpose of this study is to analyze the effect of financial literacy on cashless transaction behavior mediated by lifestyles on the employees of the Blora Regency Regional Secretariat. The population as well as the sample in this study amounted to 112 Civil Servants (PNS) Blora Regency Secretariat. Data were analyzed using the Partial Least Square (PLS) method and using the SmartPLS 3 tool. The sampling method is the saturated or census sampling method. Data collected by questionnaire. The results of this study are financial literacy has a significant positive effect on lifestyle variables, lifestyle has a positive and significant effect on cashless transaction behavior variables, financial literacy has a significant positive effect on cashless transaction behavior variables, and lifestyle is not related to financial literacy variables and variables cashless transaction behavior. Furthermore, the R square value for the latent variable of cashless transaction behavior is 0.460, this means that the financial literacy variable increased by 46% of the cashless transaction behavior, and for the lifestyle latent variable by 0.402, meaning that financial literacy was 40.2% for the style life. While the rest is explained by other variables not included in this study.
Slumdog romance: Facebook love and digital privacy at the margins
Venue: Media, culture, and society
Year: 2017

Facebook has consolidated its position as the one stop shop for social activity among the poor in the global South. Sex, romance, and love are key motivations for mobile and Internet technology usage among this demographic, much like the West. Digital romance is a critical context through which we gain fresh perspectives on Internet governance for an emerging digital and globalizing public. Revenge porn, slut shaming, and Internet romance scams are a common and growing malady worldwide. Focusing on how it manifests in diverse digital cultures will aid in the shaping of new Internet laws for a more inclusive cross cultural public. In specific, this article examines how low income youth in two of the BRICS (Brazil, Russia, India, China and South Africa) nations Brazil and India exercise and express their notions on digital privacy, surveillance, and trust through the lens of romance. This allows for a more thorough investigation of the relationship between sexuality, morality, and governance within the larger Facebook ecology. As Facebook becomes the dominant virtual public sphere for the world's poor, we are compelled to ask whether inclusivity of the digital users comes at the price of diversity of digital platforms.
Big Data: Deep Learning for financial sentiment analysis
Venue: Journal of Big Data
Year: 2017

Deep Learning and Big Data analytics are two focal points of data science. Deep Learning models have achieved remarkable results in speech recognition and computer vision in recent years. Big Data is important for organizations that need to collect a huge amount of data like a social network and one of the greatest assets to use Deep Learning is analyzing a massive amount of data (Big Data) This advantage makes Deep Learning as a valuable tool for Big Data. Deep Learning can be used to extract incredible information that buried in a Big Data. The modern stock market is an example of these social networks. They are a popular place to increase wealth and generate income, but the fundamental problem of when to buy or sell shares, or which stocks to buy has not been solved. It is very common among investors to have professional financial advisors, but what is the best resource to support the decisions these people make? Investment banks such as Goldman Sachs, Lehman Brothers, and Salomon Brothers dominated the world of financial advice for more than a decade. However, via the popularity of the Internet and financial social networks such as StockTwits and SeekingAlpha, investors around the world have new opportunity to gather and share their experiences. Individual experts can predict the movement of the stock market in financial social networks with the reasonable accuracy, but what is the sentiment of a mass group of these expert authors towards various stocks? In this paper, we seek to determine if Deep Learning models can be adapted to improve the performance of sentiment analysis for StockTwits. We applied several neural network models such as long short term memory, doc2vec, and convolutional neural networks, to stock market opinions posted in StockTwits. Our results show that Deep Learning model can be used effectively for financial sentiment analysis and a convolutional neural network is the best model to predict sentiment of authors in StockTwits dataset.
Community Detection in Social Networks based on Local Edge Centrality and Adaptive Thresholding
Venue: 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)
Year: 2020

Detecting communities in a network are crucial to understand the network structures and to analyze the network characteristics. Considering the significance of edges, a centrality measure is proposed based on the local perspective referred to as the Local Edge Centrality. The proposed approach makes use of the divisive method wherein links having a LEC value that is greater than a chosen threshold is progressively deleted to obtain an initial partition. Linearly spaced thresholds are applied to the network and topological characteristics are analyzed. The point at which there is a drastic shift in the topological properties represents the ideal threshold which is used to obtain the initial partition with better modularity. Then modularity optimization is employed to obtain the final partition of the network.
Long Shot and Short Hit
Year: 2008

This article attempts to evaluate China's military developments in recent years and explore the implications of its military advancements. The emphasis will be on the potential impact of China's current military growth on the USA and Taiwan. What are the unique features of China's recent enhancement of its military capability? Does China's military expansion signal a power transition for a US dominated international system? What is the US policy to deal with a rising China? Finally, to what extent is Taiwan prepared to meet China's new military challenges?
A biological plausible audio visual integration model for continual lifelong learning
Venue: ArXiv
Year: 2020

The problem of catastrophic forgetting can be traced back to the 1980s, but it has not been completely solved. Since human brains are good at continual lifelong learning, brain inspired methods may provide solutions to this problem. The end result of learning different objects in different categories is the formation of concepts in the brain. Experiments showed that concepts are likely encoded by concept cells in the medial temporal lobe (MTL) of the human brain. Furthermore, concept cells encode concepts sparsely and are responsive to multi modal stimuli. However, it is unknown how concepts are formed in the MTL. Here we assume that the integration of audio and visual perceptual information in the MTL during learning is a crucial step to form concepts and make continual learning possible, and we propose a biological plausible audio visual integration model (AVIM) which is a spiking neural network with multi compartmental neuron model and a calcium based synaptic tagging and capture plasticity model, as a possible mechanism of concept formation. We then build such a model and run on different datasets to test its ability of continual learning. Our simulation results show that the AVIM not only achieves state of the art performance compared with other advanced methods but also the output of AVIM for each concept has stable representations during the continual learning process. These results support our assumption that concept formation is essential for continuous lifelong learning, and suggest the AVIM we propose here is a possible mechanism of concept formation, and hence is a brain like solution to the problem of catastrophic forgetting.
Enriching Business Processes through Internet of Everything Connecting more people, data, and things to the Internet will help automated processes do more for an enterprise, its suppliers, and its customers.
Year: 2014

Everyday physical objects are being connected to the Internet and given a digital representation, enabling their interaction with people and information systems. This article discusses how business processes and workflows would be enriched with real time information and deeper visibility into the physical world. Technology enablers for Internet of Everything (IoE) enriched business process are also discussed, as are some of the challenges for networks and business operations.
Photovoltaic study of chemically engineered nano titanium oxide loaded polyaniline matrix of architecture ITO/titanium oxide polyaniline/aluminum
Year: 2015

Chemically engineered nano titanium oxide (TiO 2 loaded polyaniline matrix of architecture ITO/ titanium oxide polyaniline/Aluminum is used for photovoltaic application. The performance of fabricated photovoltaic cell shows good dependence on concentration of TiO 2 The power conversion efficiency increases with an increasing concentration of TiO 2 The increase in power conversation efficiency originated from high absorption on visible region. The fabricated photovoltaic cells generated stable photocurrent and photovoltage under light illumination.
Introduction to confocal microscopy.
Venue: The Journal of investigative dermatology
Year: 2012

Conventional microscopy requires viewing a thin cut "section" of fixed or frozen tissue, and therefore cannot be used to view thick tissue samples or for in vivo investigations. In vivo microscopy requires a virtual, rather than a physical, section of the specimen. Confocal microscopy, developed and patented by Marvin Minsky in 1955, uses optical imaging to create a virtual slice or plane, many micrometers deep, within the tissue. It provides very high quality images with fine detail and more contrast than conventional microscopy. In addition, the imaging technique allows for reconstruction of virtual 3 dimensional (3 D) images of the tissue when multiple sections are combined.
Mitochondrial dynamics and transport in Alzheimer's disease
Venue: Molecular and Cellular Neuroscience
Year: 2019

Mitochondrial dysfunction is now recognized as a contributing factor to the early pathology of multiple human conditions including neurodegenerative diseases. Mitochondria are signaling organelles with a multitude of functions ranging from energy production to a regulation of cellular metabolism, energy homeostasis, stress response, and cell fate. The success of these complex processes critically depends on the fidelity of mitochondrial dynamics that include the ability of mitochondria to change shape and location in the cell, which is essential for the maintenance of proper function and quality control, particularly in polarized cells such as neurons. This review highlights several aspects of alterations in mitochondrial dynamics in Alzheimer's disease, which may contribute to the etiology of this debilitating condition. We also discuss therapeutic strategies to improve mitochondrial dynamics and function that may provide an alternative approach to failed amyloid directed interventions.
Detection of Zika virus in mouse mammary gland and breast milk
Venue: PLoS neglected tropical diseases
Year: 2019

Clinical reports of Zika Virus (ZIKV) RNA detection in breast milk have been described, but evidence conflicts as to whether this RNA represents infectious virus. We infected post parturient AG129 murine dams deficient in type I and II interferon receptors with ZIKV. ZIKV RNA was detected in pup stomach milk clots (SMC) as early as 1 day post maternal infection (dpi) and persisted as late as 7 dpi. In mammary tissues, ZIKV replication was demonstrated by immunohistochemistry in multiple cell types including cells morphologically consistent with myoepithelial cells. No mastitis was seen histopathologically. In the SMC and tissues of the nursing pups, no infectious virus was detected via focus forming assay. However, serial passages of fresh milk supernatant yielded infectious virus, and immunohistochemistry showed ZIKV replication protein associated with degraded cells in SMC. These results suggest that breast milk may contain infectious ZIKV. However, breast milk transmission (BMT) does not occur in this mouse strain that is highly sensitive to ZIKV infection. These results suggest a low risk for breast milk transmission of ZIKV, and provide a platform for investigating ZIKV entry into milk and mechanisms which may prevent or permit BMT.
Characterization and Expression Analysis of Resistance Gene Analogues in Elite Sugarcane Genotypes.
Venue: Protein and peptide letters
Year: 2021

are an important source of disease resistance in crop plants and have been extensively studies for their identification, tagging and mapping of Quantitative Trait Loci (QTLs) Tracking these RGAs in sugarcane can be of great help for the selection and screening of disease resistant clones.  In the present study expression of different Resistance Gene Analogues (RGAs) was assessed in indigenous elite sugarcane genotypes which include resistant, highly resistant, susceptible and highly susceptible to disease infestation.  Total cellular DNA and RNA were isolated from fourteen indigenous elite sugarcane genotypes. PCR, semi quantitative RT PCR and real time qPCR analyses were performed. The resultant amplicons were sequence characterized, chromosomal localization and phylogenetic analysis were performed.  All of the 15 RGA primers resulted in amplification of single or multiple fragments from genomic DNA whereas only five RGA primers resulted in amplification from cDNA. Sequence characterization of amplified fragments revealed 86 99% similarity with disease resistance proteins indicating their potential role in disease resistance response. Phylogenetic analysis also validated these findings. Further, expression of RGA 012, RGA 087, RGA 118, RGA 533 and RGA 542 appeared to be upregulated and down regulated in disease resistant and susceptible genotypes, respectively, after inoculation with Colletotrichum falcatum.  RGAs are present in most of our indigenous genotypes. Anyhow, differential expression of five RGAs indicated that they have some critical role in disease resistance. So, the retrieved results can not only be employed to devise molecular markers for the screening of disease resistant genotypes but can also be used to develop disease resistant plants through transgenic technology.
Los sistemas de informacion en el contexto empresarial
Year: 2016

Los sistemas de informacion hacen parte de los medios estrategicos para la reformulacion de las practicas empresariales que promueven el desarrollo de la organizacion, mejorar su posicion competitiva y reorientan el comportamiento de los negocios. Basta con que las organizaciones empresariales tengan un objetivo especifico y una definicion de metas claras para que integren el uso frecuente de la tecnologia y de un sistema de informacion capaz de gestionar los datos, que posteriormente puede convertirse en informacion util y eficiente en la toma de decisiones. De esta manera, estudiar los conceptos basicos sobre sistemas y sistemas de informacion permite ahondar en las bases necesarias para entender la necesidad de implementar sistemas informaticos en las organizaciones que apoyen la dinamica empresarial y brinden oportunidades de crecimiento. Al finalizar el presente estudio, el participante podra comprender los conceptos sobre sistemas, asi como relacionarlos y aplicarlos en los diferentes procesos que enmarcan una empresa. Igualmente, identificar como las tecnologias de la informacion y comunicacion han beneficiado los procesos organizacionales y de gestion a partir de la captura, transformacion y transferencia de la informacion dentro de la empresa.  Notas de clase
Synthesis, characterization of new phthalocyanines and investigation of photophysical, photochemical properties and theoretical studies
Year: 2018

This work describes the synthesis, spectral, aggregation and fluorescence properties of bis 4 (4 tert butylbenzyl)oxy substituted metal free (2) magnesium (3) zinc (4) and nickel (5) phthalocyanines. The syntheses of the novel compounds were confirmed by FT IR, UV vis, mass and NMR spectroscopy techniques, as well as elemental analysis. The effects of the nature of the central metal on the photophysical parameters of the phthalocyanine complexes are reported in this study. The photochemical properties (singlet oxygen quantum yields and photodegradation quantum yields) and photophysical properties (fluorescence behavior and fluorescence quantum yield) of the complexes were reported in different solutions (dimethyl sulfoxide (DMSO) and dimethyl formamide (DMF) and tetrahydrofuran (THF) However, energy minimized structure, vibrational frequency, molecular orbital levels and electronic absorption spectra were obtained by DFT calculations which supported the experimental results.
White matter variability, cognition, and disorders: a systematic review.
Venue: medRxiv
Year: 2020

Inter individual differences can inform treatment procedures and if accounted for can significantly improve patient outcomes. However, when studying brain anatomy, these inter individual variations are largely unaccounted for, despite reports of differences in gross anatomical features, cross sectional and connectional anatomy. Brain connections are essential to mediate brain functional organisation and, when severed, cause functional impairments or complete loss of function. Hence the study of cerebral white matter may be an ideal compromise to capture inter individual variability in structure and function. Here we reviewed the wealth of studies that associate functions and clinical symptoms with individual tracts using diffusion tractography. Our systematic review indicates that tractography has proven to be a sensitive method in neurology, psychiatry and healthy populations to identify variability and its functional correlates. However, the literature may be biased, as we identified that the most commonly reported tracts are not necessarily those with the highest sensitivity to cognitive functions and pathologies. Finally, we demonstrate that tracts, as we define them, are not usually correlated with only one, but rather multiple cognitive domains or pathologies. While our systematic review identified some methodological caveats, it also suggests that tract function correlations might be a promising biomarker for precision medicine as it characterises variations in brain anatomy, differences in functional organisation and predict resilience or recovery in patients.