Miracle-dz/UniFAR-FTUs huggingface dataset:
The care of frail older people with complex needs: time for a revolution

In November 2011, The King’s Fund invited academics, practitioners, policy-makers and representatives from patient and voluntary organisations to discuss the care of very old frail people with complex health problems (see the full list of participants and terms of reference in Appendix 1). Mindful of the work of others (NHS Confederation, the Local Government Association and Age UK 2012; The Mid Staffordshire NHS Foundation Trust Inquiry 2009), we focused exclusively on what could be done to build the confidence of vulnerable older patients with complex needs and their carers in the quality of care in hospital and at home. This report summarises the discussion, including recommendations framed in relation to levels of authority in the health and social care system. The King’s Fund is very grateful to the trustees of Leeds Castle for making the summit possible and to summit members for their contributions.
Furnishing Active Learning Clas

Technology enhanced learning has been a rapidly expanding field in the 21st century, while most university classrooms and lecture halls look the same as they did one hundred years ago. A new classroom concept that seem to have potential to renew education is the so called Active learning classrooms (ALCs). The fundamental idea for ALCs is to furnish for active group learning with technology enhancement such as computers, digital screens, whiteboards and Internet connection. Today higher education settings are not only technology blended, but also blended in other ways. In the standard definition of blended learning the blend consists of traditional face‐to‐ face education and technology enhanced online sessions. A subclass of blended learning is blended synchronous learning (BSL), a blend where on‐campus students work together with distance students in common synchronous teaching and learning activities. The BSL concept should also build on active and collaborative learning in groups with participants from both the described student groups. The aim of the study was to analyse and discuss how active group learning in BSL settings are depending on the ALC furnishing and the technology. The study for this chapter was conducted with a case study approach with two active learning classrooms as the investigated case units. Nine teachers and three persons from the service staff focus group were interviewed. Answers from the semi‐structured interviews were analysed by use of the qualitative data analysis tool Atlas.ti. The more technical parts of the evaluation were analysed with the Technology Acceptance Model as a theoretical framework. A result from the analysis was that there was not only one BSL model but two. The first one is more dependent on furnishing than on technology enhancement and the recommendation is here to choose a low‐cost and low‐tech 'light version'. Regarding the second BSL model with a synchronous mix of on‐campus and distance students the recommendation is to go for high‐tech equipment and‐ rich‐media communication and communication tools. Finally, it seems difficult to reach any consensus regarding the spatial design, and the recommendation, for both BSL models, is a flexible design with movable furniture and enhanced communication and collaboration technology.
Importance of seagrasses: a review for Fiji Islands

Seagrasses form large meadows along coastlines of every continent except Antarctica and have an estimated value of 151.4 billion USD in the Melanesian region. Seagrasses provide vital functions such as preventing coastal erosion, improving water quality, capturing and storing carbon from the atmosphere. Globally, seagrasses have declined in area by approximately 29% since the beginning of the 20th century, and the rate of decline is speeding up. Scientists attribute seagrass decline to poor water quality caused by pollution in run-off, especially nutrients and sediments that are washed down rivers and into coastal habitats. Seagrass habitats are far less studied than other marine ecosystems like coral reefs, and detailed information about them in the Pacific Islands is lacking. Their nearshore location makes seagrasses highly vulnerable to human-induced disturbances, especially impacts related to human population increase such as urban expansion, water course alteration and increased loading of sediments, pollutants and algal generating nutrients. Therefore, this review wishes to highlight their functions, threats, habitat loss consequence, policy gaps, and raise awareness for seagrasses. Effectively managing seagrass ecosystems in the Fiji Islands requires: significant improvement in awareness of this natural resource and understanding issues such as ecosystem resilience, run-off, and effective catchment management strategies.
Predicting Student's Performance in Education using Data Mining Techniques

In this data world, where users spawn their digital footprint and generate a huge amount of unstructured data continuously with each activity, data mining techniques help in discovering interesting patterns, establishing relationships and unravel the problems through analysis, in different aspects of life. Educational data mining is a multidisciplinary research area, in which data from various educational organizations, is explored and made operational, for various facets concerned with the students, like predicting academic performance, analyse the learning pattern, solving e-learning issues, predict employability, visualize the critical courses affecting performance, investigate the reasons for student’s failure or drop out and thus make data-driven decisions to improve the institutions standards. This paper provides a brief overview of Data Mining tools and techniques, and its encroachment in the educational domain. It also proposes a simple framework using different variables which helps in predicting student’s academic success using two different algorithms: Decision Trees and Bayesian Network. Finally, a comparative analysis of accuracy is done. The results show that Bayesian Network outperforms the Decision Tress and gives better accuracy.
Long noncoding RNA glutathione peroxidase 3–antisense inhibits lens epithelial cell apoptosis by upregulating glutathione peroxidase 3 expression in age-related cataract

Purpose Age-related cataract (ARC) is the leading cause of visual impairment and blindness worldwide. The apoptosis of lens epithelial cells (LECs) induced by oxidative damage is a major contributing factor to ARC. Long noncoding RNAs (lncRNAs) play important roles in various biologic processes. We aimed to explore the role of glutathione peroxidase 3 (GPX3)-antisense (AS) in ARCs. Methods We extracted total RNAs from transparent and age-matched cataractous human lenses and detected lncRNA expression profiles using high-throughput RNA sequencing. The expression of GPX3-AS and GPX3 was detected by quantitative real-time PCR (qRT-PCR). Apoptotic proteins were detected by western blot and immunofluorescence. We treated SRA01/04 cells with H2O2 to mimic oxidative stress and induce cell apoptosis, which was analyzed by flow cytometry and TdT-mediated dUTP Nick-End Labeling (TUNEL) assay. The cell counting kit-8 (CCK-8) assay was used to detect the viability of SRA01/04 cells. The location of GPX3-AS was determined by fluorescence in situ hybridization (FISH) and cell nuclear and cytoplasmic RNA separation. Results The lncRNA GPX3-AS, which is located in the nuclei of LECs, was downregulated in cataractous human lenses compared with control lenses, and proapoptotic proteins were expressed at high levels in the anterior lens capsules of ARC tissues. An in vitro study suggested that GPX3-AS inhibited H2O2-induced SRA01/04 cell apoptosis. As GPX3-AS is transcribed from the AS strand of the GPX3 gene locus, we further revealed its regulatory role in GPX3 expression. GPX3-AS was positively correlated with GPX3 expression. In addition, GPX3-AS inhibited H2O2-induced SRA01/04 cell apoptosis by upregulating GPX3 expression. Conclusions In summary, our study revealed that GPX3-AS downregulated the apoptosis of LECs via promoting GPX3 expression, implying a novel therapeutic target for ARCs.
From Past to Present: The Link Between Reactive Oxygen Species in Sperm and Male Infertility

Reactive oxygen species (ROS) can be generated in mammalian cells via both enzymatic and non-enzymatic mechanisms. In sperm cells, while ROS may function as signalling molecules for some physiological pathways, the oxidative stress arising from the ubiquitous production of these compounds has been implicated in the pathogenesis of male infertility. In vitro studies have undoubtedly shown that spermatozoa are indeed susceptible to free radicals. However, many reports correlating ROS with sperm function impairment are based on an oxidative stress scenario created in vitro, lacking a more concrete observation of the real capacity of sperm in the production of ROS. Furthermore, sample contamination by leukocytes and the drawbacks of many dyes and techniques used to measure ROS also greatly impact the reliability of most studies in this field. Therefore, in addition to a careful scrutiny of the data already available, many aspects of the relationship between ROS and sperm physiopathology are still in need of further controlled and solid experiments before any definitive conclusions are drawn.
Object Identification and Safe Route Recommendation Based on Human Flow for the Visually Impaired

It is difficult for visually impaired people to move indoors and outdoors. In 2018, world health organization (WHO) reported that there were about 253 million people around the world who were moderately visually impaired in distance vision. A navigation system that combines positioning and obstacle detection has been actively researched and developed. However, when these obstacle detection methods are used in high-traffic passages, since many pedestrians cause an occlusion problem that obstructs the shape and color of obstacles, these obstacle detection methods significantly decrease in accuracy. To solve this problem, we developed an application “Follow me! ”. The application recommends a safe route by machine learning the gait and walking route of many pedestrians obtained from the monocular camera images of a smartphone. As a result of the experiment, pedestrians walking in the same direction as visually impaired people, oncoming pedestrians, and steps were identified with an average accuracy of 0.92 based on the gait and walking route of pedestrians acquired from monocular camera images. Furthermore, the results of the recommended safe route based on the identification results showed that the visually impaired people were guided to a safe route with 100% accuracy. In addition, visually impaired people avoided obstacles that had to be detoured during construction and signage by walking along the recommended route.
Force Plate Balance Response of Seafarers during Still and Rough Sea Conditions

Seafarers are constantly exposed to varying ground reaction forces due to extreme weather conditions. These forces may lead to the progression of osteoarthritis and musculoskeletal injuries. The ground reaction forces of 18 subjects were measured, with Advanced Mechanical Technology Incorporation’s force plate, during still and rough sea conditions. In this study, each subject’s weight factor and Sway Index is compared for different test conditions. Weight factors varied between 1.46 and 0.66 of the normal body weight. A subject’s Sway Index measured during rough conditions is more than double their Sway Index measured during still conditions. It was noted that more than 70% of the subjects’ Sway Indexes were greater when facing the side of the ship as opposed to the front, during still and rough conditions. Body movement and postural response is increased in order to keep the body upright during rough sea conditions as opposed to still conditions. The long term effects caused to body joints, as a result of constant exposure to varying ground reaction forces, can be determined using the measured results. 
Ive Got to Play That Game - An Analysis of Embedded Persuasion in Game Design

We explore the role of persuasion in game design through a combination of cognitive biases, the roles of the individual and society in persuasive game design and game play. We examine the role of scarce player resources in the areas of monetary, temporal, spatial and cognitive spheres on the persuasive nature of a game. We argue that a persuasive game contains three distinct elements: the element of surprise and attention, the element of alignment with cultural norms and the element of tradeoff between player resources and incentives to play the game. We also present the ethical implications of persuasive game design.
Emergency in False-Electrical Storm in Patients with Implanted Cardioverter Defibrillator

The Electrical Storm (ES) indicates cardiac electrical instability manifested by several episodes of ventricular tachyarrhythmias within a short time. False-ES is defined as recurrent inappropriate Implantable Cardioverter-Defibrillator (ICD) discharges over 24 hours. Far from being a minor complication, False-ES is usually physical and psychological harmful and potentially lethal. The most common causes of inappropriate ICD shock include supraventricular tachycardia with high ventricular response and oversening of peaked T waves or R wave, myopotentials or electrical noise. Appropriate diagnosis and treatment are critical in Emergency Department. To approach these patients systematically, it is important to understand that in general, there are four causes of shock. Modern ICD incorporate sophisticated tachycardia detection algorithms within their programming designed to minimize detection mistakes by the device and ICD-related information can also be checked using remote home monitoring systems. They are often not utilized to their full benefit. Thus, careful attention should be paid to the programming of the device. Fine tuning of the detection and differentiation algorithms is critical, and best done by a practitioner who understands the subtle differences among the different manufacturers. The approach to this problems is reviewed.
Socioeconomic factors of tobacco smoking during pregnancy

Tobacco smoking during pregnancy is a serious public health concern because of its health consequences on the mother and the foetus. Some expectant mothers quit smoking immediately as soon as they learn they are pregnant, but many others continue the habit. Numerous factors play a significant role in smoking during pregnancy, but the most important one is the initiation at a very young age. Thus, this information is essential while planning any intervention. Additional factors, mainly in disadvantaged families, also contribute to smoking during pregnancy such as poverty, limited education and the psychosocial stress associated with these factors. Health costs and the health status of the society could significantly be improved by efficient intervention programs for girls and women of reproductive age.
Consumption, Government Failure, and Asset Prices

The equity premium–risk-free rate level and predictability puzzles in standard power utility consumption-based asset pricing models disappear once we remove the government-imposed component from the consumption expenditure series. I calibrate this component based on the growth rates of two proxies for government intervention, which I also show to forecast the shortand long-term equity premiums between 1974 (or 1981) and 2017. In summary, investors require large premiums to hold stocks because stocks deliver poor returns when government intervention (failure) increases, systematically reducing individual utility levels. Government failure is likely the key macro-finance variable linking asset prices and economic fluctuations. JEL Codes: G1, E1, H1
Developing multiphase models for liquid-liquid hydrocyclone flow

Computational Fluid Dynamics CFD has become in the last years a more and more used tool in geometry developing and optimization of hydrocyclones. With the advance o computer power, shortcomings as the need of a full Reynolds Stress Model to adequately represent the non-homogeneous turbulent field, have been solved. On the other side most models presented in literature are single phase flow or uses approaches as Lagrangian Particle Tracking of Algebraic Slip (which are basically single phase models with some additional tracking equations o transport equations). For the case being investigated here, which consist in a high oil concentration (>20%) hydrocyclone, a full Eulerian-Eulerian model is needed in order to adequately represent the two-phase flow field. This paper presents some preliminary results and discussions of CFD model development based on full Eulerian-Eulerian approach for oil-water hydrocyclone design. Furthermore, as it is expected a continuous phase inversion at the central region (oil became the continuous phase), an alternative to the traditional continuous-dispersed morphology treatment for the interface length scale, is proposed. In addition a new post-processing parameter which represents the droplet migration velocity is presented, which could be used for preliminary hydrocyclone geometry design using a less costly single phase model. Obviously, this approach is valid, just for dispersed morphologies and low oil concentrations and can be used for preliminary geometry design.
Antecedents of Employee Performance

This paper investigates the relationship between leadership style, organizational commitment and employee performance. The leadership style of organizational outcomes are differentiated into transformational and transactional leadership. The influences of transformational and transactional leadership on the organizational commitment and employee performance variables, that are organizational commitment and employee performance, are typified in our conceptual model. Therefore, this study looks into the mediating effect of organizational commitment on the relationship between leadership style variables and employee performance. We identified three organizational commitments from the extant literature to be included in our conceptual model; affective, continuance and normative. Propositions are given regarding the mediating effect of organizational commitment on the leadership style antecedents of employee performance. Future research directions are discussed.
Cardiac hypertrophy in a dish: A human stem cell based model.

Cardiac hypertrophy is an important and independent risk factor for the development of heart failure. To better understand the mechanisms and regulatory pathways involved in cardiac hypertrophy, there is a need for improved in vitro models. In this study, we investigated how hypertrophic stimulation affected human induced pluripotent stem cell (iPSC)-derived cardiomyocytes (CMs). The cells were stimulated with endothelin-1 (ET-1) for 8, 24, 48, 72, or 96h. Parameters including cell size, ANP-, proBNP-, and lactate concentration were analyzed. Moreover, transcriptional profiling using RNA-sequencing was performed to identify differentially expressed genes following ET-1 stimulation. The results show that the CMs increase in size by approximately 13% when exposed to ET-1 in parallel to increases in ANP and proBNP protein and mRNA levels. Furthermore, the lactate concentration in the media was increased indicating that the CMs consume more glucose, a hallmark of cardiac hypertrophy. Using RNA-seq, a hypertrophic gene expression pattern was also observed in the stimulated CMs. Taken together, these results show that hiPSC-derived CMs stimulated with ET-1 display a hypertrophic response. The results from this study also provide new molecular insights about the underlying mechanisms of cardiac hypertrophy and may help accelerate the development of new drugs against this condition.
Smart Energy Transition: An Evaluation of Cities in South Korea

One positive impact of smart cities is reducing energy consumption and CO2 emission through the use of information and communication technologies (ICT). Energy transition pursues systematic changes to the low-carbon society, and it can benefit from technological and institutional advancement in smart cities. The integration of the energy transition to smart city development has not been thoroughly studied yet. The purpose of this study is to find empirical evidence of smart cities’ contributions to energy transition. The hypothesis is that there is a significant difference between smart and non-smart cities in the performance of energy transition. The Smart Energy Transition Index is introduced. Index is useful to summarize the smart city component’s contribution to energy transition and to enable comparison among cities. The cities in South Korea are divided into three groups: (1) first-wave smart cities that focus on smart transportation and security services; (2) second-wave smart cities that provide comprehensive urban services; and (3) non-smart cities. The results showed that second-wave smart cities scored higher than first-wave and non-smart cities, and there is a statistically significant difference among city groups. This confirms the hypothesis of this paper that smart city development can contribute to the energy transition.
DESIGN EVALUATIONS OF THE NOVEL DOUBLE ROTOR SWITCHED RELUCTANCE MACHINE

The need of magnet-less machine for industrial applications are increasing, and one of the most common magnet-less machine is switched reluctance machine. Switched reluctance machine utilises the basic concept of attraction and repulsion principle, and together with the air-gap reduction an improvement in the production of the torque generation is separated earlier. The concept of dual air-gap to improve the torque density of the switched reluctance machine is attempted by researchers in recent times. The concept of dual air-gap shows a high starting torque density in the machine which allows an early steady state in the machine performance compared to the conventional machine. As the drawback, the dual air-gap machine is not able to produce higher torque average and drags is presence for industrial application. Therefore, a novel through modification of magnetic circuit of the dual air-gap in double rotor switched reluctance machine is proposed. In this paper, a comparison in terms of motor torque constant square density between three machines of conventional switched reluctance machine (SRM), double rotor switched reluctance machine (DRSRM), and the proposed dual air-gap machine is presented. The results shows that there is an improvement in the average torque by 13% compare to the SRM and 39% compare to the DRSRM. The proposed dual air-gap machine, it is also showing an improvement in motor constant square density by 37% and 114% of SRM and DRSRM, respectively.
PREPARATIO AD EVALUATIO OF HERBAL COSMETIC CREAM

Summary The present study was to prepare and evaluate the herbal cosmetic cream comprising extracts of Glycyrrhiza glabra, Cucumis sativus and almond oil. Different types of formulations oil in water (O/W) herbal creams namely F1 to F7 were formulated from the ethanol extract of Glycyrrhiza glabra (rhizomes), Cucumis sativus (fruits) and almond oil in varied concentrations. The evaluation of all formulations (F1 to F7) was done on different parametrs like pH, viscosity, spreadability, rheological study, and stability along with irritancy test were examined. Formulations F5 and F6 showed good spreadability, good consistency, homogeneity, appearance, pH, ease of removal, spreadibilty and no evidence of phase separation. The formulation F5 and F6 shows no redness, edema, inflammation and irritation during irritancy studies. These formulations are safe to use for skin. These studies suggest that composition of extracts and base of cream of F5 and F6 are more stable and also it may produce synergistic action.