Miracle-dz/UniFAR-FTUs huggingface dataset:
Transfer from a Quadruple Helix perspective : Towards a research agenda

Within recent years, there has been a rapid expansion of the University’s role in economic development. This has resulted in University Technology Transfer (UTT) taking place within an increasingly complex network of regional stakeholders. This complexity has resulted in quadruple helix models where the triple helix model of academia, industry and regional government now includes societal based innovation users as a fourth helix. Despite this development, extant research is fragmented and lacks coherent frameworks and conceptualisations which fully depict the dynamic and evolving nature of UTT. Accordingly, this paper reviews Mode 2 UTT from a quadruple helix perspective to identify key themes to develop a research agenda which reflects progression from a triple into a quadruple helix ecosystem.
The Eﬀect of Page Size and TLB Entries on Application Performance

The AMD Opteron processor allows for two page sizes to be selected for memory allocation, with a small page size of 4 Kilobytes being used for most standard Linux systems, and a larger 2 Megabyte page size which was selected for the Catamount lightweight kernel. Although the larger page size appears more attractive for HPC applications running under a lightweight kernel, the increase in page size comes at a cost in that there are very few entries in the TLB available to store references to these pages. This paper reports on work which highlighted problems with the use of the large page size and small number of TLB entries, and shows some of the performance improvements which became possible with the introduction of a small page option to the yod job launcher.
ACTIVE POWER LOSS DIMINUTION & VOLTAGE STABILITY ENHANCEMENT BY RED WOLF OPTIMIZATION ALGORITHM

In this paper optimal reactive power dispatch problem (ORPD), has been solved by Enriched Red Wolf Optimization (ERWO) algorithm. Projected ERWO algorithm hybridizes the wolf optimization (WO) algorithm with swarm based algorithm called as particle swarm optimization (PSO) algorithm. In the approach each Red wolf has a flag vector, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). Exploration capability of the projected Red wolf optimization algorithm has been enriched by hybridization of both WO with PSO. Efficiency of the projected Enriched Red wolf optimization (ERWO) evaluated in standard IEEE 30 bus test system. Simulation study indicates Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& particularly voltage stability has been enriched.
‘A Long Battle Ahead’: Malaysian and Singaporean Prime Ministers Employ War Metaphors for COVID-19

The short article reports a preliminary exploration about how the Prime Ministers of Malaysia and Singapore frame COVID-19 through metaphors. The framing can shape our understanding of the virus. The Prime Ministers gave public broadcasts on or to the media in March, April and May 2020. The analysis of the broadcasts is comprised of metaphor identification using the Metaphor Identification Procedure (MIP), and metaphor interpretation. COVID-19 in the Prime Ministers’ broadcasts is conceptualized by a few metaphors. The Prime Ministers utilize similar metaphors about the virus because metaphors of direction, journey, liquid and war are noted. covid-19 is war is selected because war metaphors have been recognized for other diseases and they have been commonly deployed during this pandemic. War metaphors frame several aspects of the virus, which cover its description, impact on multiple areas, the actors involved and their reactions. The war scenario can evoke a sense of alarm regarding the threat and severity of COVID-19.
The Effects of Perceived Ease of Use, Security, and Promotion on Trust and Its Implications on Fintech Adoption

The advancement of mobile devices and their usage has increased the uptake of fintech innovation. These new technologies should provide ease of use and give advantages to their customers. On the other side, mobile application security threats have increased tremendously and have become a great challenge for both users, in this case, as customers, and fintech innovators. Meanwhile, service should be promoted to the customers to establish fintech's brand to society. This research empirically examined the components affecting the expectations of users to adopt fintech. By collecting 100 samples who have already used a couple of brands of Fintech and Sakuku as their payment method, and by utilizing Structural Equation Modeling- Partial Least Square (SEM-PLS) as the technique of analysis, the empirical results definitely confirmed that perceived ease of use (PEOU) and promotion positively and significantly affected the customer trust. Meanwhile, security did not significantly affect trust. The finding also implied that in order to increase the fintech adoption rate, customer trust should be built.
Advances in the affordability and sophistication of neuroscientific techniques are allowing for the investigation of neural processes in domains such as marketing and economics , where neuroscience

Advances in the affordability and sophistication of neuroscientific techniques are allowing for the investigation of neural processes in domains such as marketing and economics, where neuroscience data is offering novel and often non-incremental contributions. In this study, we explore neuroscience and its’ potential in furthering the study of entrepreneurship. We put forward an overview of neuroscience, discussing its key tenets, evolving boundaries and select methodologies. We outline a set of research areas in the domain of entrepreneurship that can be advanced via neuroscience—focusing on automaticity, individual differences, construct clarification and entrepreneurial learning. We also note several key challenges of applying neuroscience to entrepreneurship. The net effect of this cross-disciplinary effort is progress toward the establishment of a new discipline: neuro-entrepreneurship.
SEMI-SUPERVISED SEMANTIC SEGMENTATION NETWORK VIA LEARNING CONSISTENCY FOR REMOTE SENSING LAND-COVER CLASSIFICATION

Abstract. Current popular deep neural networks for semantic segmentation are almost supervised and highly rely on a large amount of labeled data. However, obtaining a large amount of pixel-level labeled data is time-consuming and laborious. In remote sensing area, this problem is more urgent. To alleviate this problem, we propose a novel semantic segmentation neural network (S4Net) based on semi-supervised learning by using unlabeled data. Our model can learn from unlabeled data by consistency regularization, which enforces the consistency of output under different random transforms and perturbations, such as random affine transform. Thus, the network is trained by the weighted sum of a supervised loss from labeled data and a consistency regularization loss from unlabeled data. The experiments we conducted on DeepGlobe land cover classification challenge dataset verified that our network can make use of unlabeled data to obtain precise results of semantic segmentation and achieve competitive performance when compared to other methods.
Last-Acquired-First-Forgotten: Interpretation of Turkish Relative Clauses in Typically Developing Children and Adults with Broca’s Aphasia

Bu calisma, Broka afazisi olan bireyler ile tipik gelisim gosteren cocuklarin karmasik tumce yapilari iceren ifadeleri anlama yetilerinde benzerlik olup olmadigini arastirmaktyadir. Calismada, ifade-cumle eslestirme testi kullanilarak Broka afazili bireylerin ve 3;04-4;03 yaslarindaki cocuklarin Turkce ilgi tumcelerini anlama yetileri test edilmistir. Cocuklar da afazili bireyler de nesne ilgi tumcelerinde ozne ilgi tumcelerine gore daha iyi bir anlama performansi sergilemislerdir. Bu bulgular, Sol Posteriyor Inferiyor Prefrontal Girus’un sozdizimsel olarak daha karmasik yapi sergileyen ifadeleri islemede etkisi oldugunu varsayan kuramlarla uyum gostermektedir. Cocuklarin Broka afazili bireylerle benzer bir performans sergilemeleri bahsi gecen beyin bolgesinin gec gelismesine baglanabilmektedir. Calismaya katilan katilimcilar, nesne ilgi tumcelerinde tumcenin oznesi tumce basinda yer almasina ragmen bu yapilari anlamakta gucluk cekmislerdir. Bu bulgu alanyazinda onerilmis ‘ilk oge ozne olur’ stratejisi ile uyumsuzluk gostermektedir. Bu calisma, ozne ilgi tumcelerindeki anlama guclugunu bu yapilardaki bicimbirimsel birimlerin karmasikligina baglanmistir.
Resting heart rate variability in regular yoga practitioners

Received 19 April 2020 Revised 15 June 2020 Accepted 16 June 2020 Online 30 June 2020 Print 30 June 2020 Heart rate variability (HRV) is a useful and powerful non-invasive tool for quantitative assessment of cardiac autonomic function. Recent studies have shown that low heart rate variability is an indication of increased risk for cardiac diseases and sudden cardiac death. Yoga has been associated with improved cardio-respiratory performance. Thirty male regular yoga practitioners doing yoga for more than 3 years, age between 25-45 years (yoga group) and 30 male non-yoga practitioners, age-matched (control group) were included. A computerized Niviqure ECG system with HRV software was used for heart rate variability recording. Our results show that frequency-domain parameters like LF power, LF n.u, and LF/HF ratio were significantly lower in yoga group compared to control group. Time-domain parameters like mean RR, NN50, pNN50 were significantly higher in yoga group compared to control group. We conclude that the yoga increases heart rate variability by optimizing the autonomic functions, which is a good indicator of cardiac autonomic activity during rest. Keywords
A Prototype of an Automatic Irrigation System fo Peruvian Crop Fields

Water is an important factor to sustain life and for such a reason it is necessary to take care of it since this is a limited resource. In Peruvian agriculture; however, there is a high percentage of water wasted, as this activity consumes 92%of fresh water; thus, making Peru the 37th country worldwide in misusing water. Due to the aforementioned and considering that the agricultural sector is an important factor for the Peruvian economy, the current study aims to implement a system for automatic irrigation of crop fields in Peru, with the goal of optimizing the use of water and not to waste it as it usually happens. After the implementation of the first prototype of the irrigation system using an Arduino microcontroller and low-cost electronic components, it could be observed that during the tests, 75 and 76.5% of the water that is normally used for irrigation was saved for a dry rainless and dry rainy patch of crop field, respectively. The monitoring of the humidity of the soil was possible due to bluetooth communication. The presented results show the viability of the system and in a follow-up study, large-scale tests are expected.
UNDERSTANDING STRATEGIC ALLIANCE LIFE CYCLE: A 30 YEAR LITERATURE REVIEW OF LEADING MANAGEMENT JOURNALS

This paper contributes to the strategic alliance literature by undertaking a literature review of the burgeoning strategic alliance literature published in the last three decades in the mainstream management journals to fulfil two primary objectives. First, to bring a coherent structure into the fairly vast and growing alliance literature and second, to serve as a medium for a holistic understanding of the major life stages of strategic alliances. This is done by first dividing the alliance literature into three distinct yet related alliance life stages namely the pre-alliance stage, alliance formation stage and the alliance management and performance stage, and then by discussing in detail the three alliance stages individually. The paper would be useful for academics as well as practitioners looking to get a holistic understanding of strategic alliances and its three distinct yet related life stages and the key research papers which have been published focussing on each of these alliance stages.
Antagonistic Drug-herb Interactions between Clinacanthus nutans and Cyclophosphamide on WRL 68 Cell Line

Clinacanthus nutans (Acanthaceae), locally known as Sabah snake grass, is popularly taken as prevention as well as treatment for cancer in Malaysia, despite lack of concrete clinical evidence. However, it is crucial to evaluate potential antagonistic, additive, or synergistic interactions that may result from the co-treatment of this plant in chemotherapy. In this study, we demonstrate the drug-herb interaction using combination treatment of C. nutans extracts and cyclophosphamide on the WRL 68 cell line. Materials and Methods: Aqueous and 70% ethanol extract of C. nutans leaves were prepared using decoction and maceration methods. MTT assay was used to test single treatment as well as the combination of C. nutans extract and cyclophosphamide. Phytochemical profiling and flavonoid were identified using HPLC. Results: C. nutans ethanolic extract exhibits low antiproliferative activity. A combination of ethanolic extract of C. nutans and cyclophosphamide at various concentrations resulted in antagonism with combination index values of 1.413, 1.482, and 1.525. Flavonoids identified in the phytochemical profile of both extracts were schaftoside, isoorientin, orientin, and vitexin. High flavonoids level in C. nutans ethanolic extract could potentially interact with metabolic enzymes of the cell line, which might have affected metabolism and activated the cyclophosphamide. The in vitro data suggested that there was a potential for drug-herb interactions, which could negatively affect the chemotherapeutic outcomes. Further investigation should be done in vivo and clinical research model.
Contextual Dropout Finding subnets for subtasks

The feedforward networks widely used in classiﬁcation are static and have no means for leveraging information about their context to improve their performance. Attentional models seek to improve upon the standard feedfor-ward network using recurrence and modifying the network’s computation. This project explores a simple method of modifying the feedforward network using dropout to deﬁne a subnetwork within an existin network. Given a trained network and the task of classifying a subset of the original training classes, are there better subnetworks to than the full network?
AFBM Journal Volume 12 – 2015 Wilkins et al

This paper describes the development of an automated technique using laser technology to estimate hip height of cattle. Body dimensions of cattle are very useful as basic descriptors, but can also be used to predict animal performance and carcass characteristics. Descriptive data used for trading needs to be objective and low cost to encourage value based transactions and assist producers to meet market specifications. Height at the hips relative to age (referred to in the industry as frame score) provides an assessment of ‘maturity type’, which determines the varying rates and sites of deposition of fat and lean tissue as an animal grows and approaches its mature size. Body dimensions such as hip height and stifle width can be easily measured manually but are labour and time consuming. An automated electronic system would make the capture of such data objective and more cost efficient. The system developed can be incorporated into typical cattle handling facilities to measure body dimensions and generate useful descriptive parameters. The principle has subsequently been extended to explore the capability of 3D camera technology to improve and expand data capture for descriptive and predictive applications.
Developed endplate geometry for uniform contact pressure distribution over PEMFC active area

Contact resistance among the components of a polymer exchange membrane fuel cell (PEMFC) has a crucial effect on cell performance. The geometry of the endplate plays an essential role in the contact pressure distribution over the membrane electrode assembly (MEA) and the amount of contact resistance between plates. In this work, the effects of endplate geometry on the contact pressure distribution over the MEA have been explored through computational simulations using ABAQUS software. A new geometry for the endplate has been proposed and was then compared to flat endplates. Geometrical parameters of an endplate having a curvature (bomb-shaped endplate) were considered, and the effects of these parameters on the contact pressure distribution over the MEA were investigated. Through the simulations, a 3D model of the fuel cell was developed. The simulation results showed good performances for the designed endplate and uniform contact pressure distribution on the fuel cell active area. Finally, a single fuel cell was manufactured and assembled using the simulation parameters, and experimental tests were conducted using pressure measurement film to evaluate the design.
OTOTOXICITY AS A SIDE-EFFECT OF DRUGS: LITERATURE REVIEW

Background: The first reports of drug ototoxicity were documented in the 1940s. Epidemiological data indicate that changes in audiometric image may affect several percent of patients taking ototoxic drugs. Ototoxicity is manifested by hearing loss and/or changes in the vestibular system. Knowledge of mechanisms responsible for ototoxic effects, as well as important physiological parameters of the human body, may be used as a basis for developing guidelines for the pharmacotherapy. The aim of this paper is to draw attention to the scale and nature of adverse effects of ototoxic drugs. Materials and methods: The review of current literature included the databases PubMed, ResearchGate, GoogleScholar, and ScienceDirect. The studies were reviewed in relation to the inclusion criteria and subsequently evaluated for internal and external validity. Results: According to the literature, pharmacotherapy using drugs with documented ototoxic potential may cause hearing loss and changes in the vestibular system. Depending on the drugs used, changes may be reversible or irreversible. Pathological changes involve hair cells in Corti's organ, stria vascularis, and cochlear potentials. The effect of drugs may cause dysfunction in psychophysical and psychosocial development, especially important for the pediatric population. Conclusion: The ototoxicity of drugs is well known as a cause of cochlear hearing loss. Due to the nature of these substances and their use, more extensive monitoring of adverse reactions should be introduced, including in clinical trial protocols.
Avoiding the Pitfalls of siRNA Delivery to the Retinal Pigment Epithelium with Physiologically Relevant Cell Models

Inflammation is involved in the pathogenesis of several age-related ocular diseases, such as macular degeneration (AMD), diabetic retinopathy, and glaucoma. The delivery of anti-inflammatory siRNA to the retinal pigment epithelium (RPE) may become a promising therapeutic option for the treatment of inflammation, if the efficient delivery of siRNA to target cells is accomplished. Unfortunately, so far, the siRNA delivery system selection performed in dividing RPE cells in vitro has been a poor predictor of the in vivo efficacy. Our study evaluates the silencing efficiency of polyplexes, lipoplexes, and lipidoid-siRNA complexes in dividing RPE cells as well as in physiologically relevant RPE cell models. We find that RPE cell differentiation alters their endocytic activity and causes a decrease in the uptake of siRNA complexes. In addition, we determine that melanosomal sequestration is another significant and previously unexplored barrier to gene silencing in pigmented cells. In summary, this study highlights the importance of choosing a physiologically relevant RPE cell model for the selection of siRNA delivery systems. Such cell models are expected to enable the identification of carriers with a high probability of success in vivo, and thus propel the development of siRNA therapeutics for ocular disease.
Study on the Contact Angle, Adhesion Strength, and Antibacterial Activity of Polymer/Cement Composites for Waterproof Coating

In the present work, polymeric composites were prepared for coating floors and swimming pools in dark colors. This was achieved through the use of a polymer coating solution added to fine cement with weight percentage (wt%) values of 5, 10, 15, 20, and 25 to obtain dark-colored (gray) composites. Mortar samples were prepared using the adhesion test. The contact angle and adhesion strength were studied for the prepared samples concerning the effect of changing the weight ratio of additive cement on water absorption. Also, the antibacterial activity was tested for the prepared coatings. The results showed that the contact angle increases with increasing the weight ratios of additive cement, which indicates that the prepared coating is not hydrophilic and water-impermeable. Besides, the adhesion was shown to increase with increasing the weight ratio of cement. According to the antibacterial activity analysis, it was found that the highest efficacy for killing Staphylococcus areus was observed at cement ratios of 5 and 15 wt%, whereas no activity was observed against Escherichia coli.
Studying Anti-Social Behaviour on Reddit with Communalytic

The chapter presents a new social media research tool for studying subreddits (i.e., groups) on Reddit called Communalytic. It is an easy-to-use, web-based tool that can collect, analyze and visualize publicly available data from Reddit. In addition to collecting data, Communalytic can assess the toxicity of Reddit posts and replies using a machine learning API. The resulting anti-social scores from the toxicity analysis are then added as weights to each tie in a "who replies to whom" communication network, allowing researchers to visually identify and study toxic exchanges happening within a subreddit. The chapter consists of two parts: first, it introduces our methodology and Communalytic’s main functionalities. Second, it presents a case study of a public subreddit called r/metacanada. This subreddit, popular among the Canadian alt-right, was selected due to its polarizing nature. The case study demonstrates how Communalytic can support researchers studying toxicity in online communities. Specifically, by having access to this additional layer of information about the nature of the communication ties among group members, we were able to provide a more nuanced description of the group dynamics.
Inter-Personal Factors Related to the Recovery Stages of Community-Dwelling Individuals with Schizophrenia

This study aimed to analyze the influence of interpersonal factors on the recovery stages of individuals diagnosed with schizophrenia, including the differences between adapted health/welfare services. A total of 230 participants with schizophrenia were recruited based on the same data set in a previous Japanese original article [1]. Recovery stage was evaluated using the Self-Identified Stage of Recovery-Part A (SISR-A) and occupational situations (day-care users, occupational support users, and employees based on the Act on Employment Promotion of Persons with Disabilities), self-stigma (Link’s scale) and cognition of an emotional support by interpersonal network using the Emotional Support Network Scale (ESNS) were assessed. All the ESNS subscales’ scores and the Link’s scores were significantly different among the five SISR-A stages. The results indicated that higher recovery stage was associated with higher recognition of emotional support from others, and lower self-stigma. However, employment status of participants was not necessarily required for improving recovery stages.