Miracle-dz/UniFAR-FTUs huggingface dataset:
An achievable region and outer bound for the Gaussian broadcast channel with feedback

A deterministic coding scheme is presented for additive white Gaussian broadcast channels with two receivers and feedback from the receivers to the transmitter. The region of data rates at which reliable communication is possible is larger than that of the corresponding channel without feedback. This is the first example showing that the capacity region of degraded broadcast channels can be enlarged with feedback.
The Great British Public Toilet Map

The Great British Public Toilet Map (TGBPTM) is an open dataset of 12000+ publicly accessible toilets in the UK, accessed through an online interface. It allows people to find location and accessibility information, and to add, edit and remove data (crowd-sourcing). National toilet data was last collected in 2001 (Audit Commission: 5959 toilets in England) with public toilet data fragmented across 406 councils. A subset of councils (81) produce open data. Since 2008 provision has become far more diverse, devolved and privatised, as ‘publicly-accessible’ toilets. Datasets created by online information-mining, available open data or crowd-sourcing have been ineffective or become obsolete. Ramster developed a three-pronged methodology recognising the strengths of these methods in combination, to create a national dataset of publicly-accessible toilets that elicits ongoing updates from providers and users. She was awarded £20K by Nominet Trust (now Social Tech Fund) to develop her methodology which revealed 9000+ toilets when the website launched (Nov 2014), and a grant from Open Data Institute (2016) to analyse her data for regional inequalities in provision. Ramster was invited to present on her application and creation of open data to meet a public need by the Open Data Institute (2014), Geomob (2014) and OpenTech (2015) conferences. In 2016 she was a finalist (with Bichard) for TGBPTM in the ESRC Outstanding Impact in Society Awards and BT Tech4Good competition. Several local authorities have contributed and/or link to TGBPTM data. This applied research creating an open dataset builds on previous work of the same name (TGBPTM pilot, 2011-2014) that gathered public demand for digitised public service information (local open data), an output of TACT3 (2009-2012). In 2018, with Bichard and developers Neontribe, Ramster set-up Public Convenience Ltd; a spin-out from the RCA to sustain and develop TGBPTM for public and commercial applications.
Human-robot interaction assessment using dynamic engagement profiles

This paper addresses the use of convolutional neural networks for image analysis resulting in an engagement metric that can be used to assess the quality of human robot interactions. We propose a method based on a pretrained convolutional network able to map emotions onto a continuous [0-1] interval, where 0 represents disengaged and 1 fully engaged. The network shows a good accuracy at recognizing the engagement state of humans given positive emotions. A time based analysis of interaction experiments between small humanoid robots and humans provides time series of engagement estimates, which are further used to understand the nature of the interaction as well as the overall mood and interest of the participant during the experiment. The method allows a real-time implementation and supports a quantitative and qualitative assessment of a human robot interaction with respect to a positive engagement and is applicable to humanoid robotics as well as other related contexts.
On-Chip Microwave Filters on Standard Silicon Substrate Incorporating a Low-k BCB Dielectric Layer

A low-loss, low-pass microstrip transmission line based microwave filter using 6-¿m low-k dielectric, Benzocyclobutene (BCB), as an interface layer has been fabricated on a standard CMOS grade silicon substrate. Standard 50-Ohm microstrip lines were fabricated and exhibit lower loss compared with the microtrip line on silicon without the BCB layer. The filter has a cut-off frequency at 10 GHz with an insertion loss of 1.1 dB. Simulation and measurement results of the filter are provided. Full-wave analysis of a 10 GHz bandpass filter is shown as well.
Enhancing Quality for HEVC Compressed Videos

The latest High Efficiency Video Coding (HEVC) standard has been increasingly applied to generate video streams over the Internet. However, HEVC compressed videos may incur severe quality degradation, particularly at low bit rates. Thus, it is necessary to enhance the visual quality of HEVC videos at the decoder side. To this end, this paper proposes a quality enhancement convolutional neural network (QE-CNN) method that does not require any modification of the encoder to achieve quality enhancement for HEVC. In particular, our QE-CNN method learns QE-CNN-I and QE-CNN-P models to reduce the distortion of HEVC I and P/B frames, respectively. The proposed method differs from the existing CNN-based quality enhancement approaches, which only handle intra-coding distortion and are thus not suitable for P/B frames. Our experimental results validate that our QE-CNN method is effective in enhancing quality for both I and P/B frames of HEVC videos. To apply our QE-CNN method in time-constrained scenarios, we further propose a time-constrained quality enhancement optimization (TQEO) scheme. Our TQEO scheme controls the computational time of QE-CNN to meet a target, meanwhile maximizing the quality enhancement. Next, the experimental results demonstrate the effectiveness of our TQEO scheme from the aspects of time control accuracy and quality enhancement under different time constraints. Finally, we design a prototype to implement our TQEO scheme in a real-time scenario.
SMT goes ABMS : developing strategic management theory using agent-based modelling and simulation

For the emerging complexity theory of strategy (CTS), organizations are complex adaptive systems able to co-evolve with their dynamic environments through interaction and response, rather than purely analysis and planning. A promising approach within the CTS context, is to focus on a strategic logic of opportunity pursuit, one in which the distributed decision-makers behave audaciously despite unpredictable, unstable environments. Although there is only emergent support for it, intriguingly organizations can perform better when these decision-makers ‘throw caution to the wind’ even at their own possible expense. Since traditional research methods have had difficulty showing how this can work over time, this research adopts a complementary method, agent-based modelling and simulation (ABMS), to examine this phenomenon. The simulation model developed here, CTS-SIM, is based on quite simple constructs, but it introduces a rich and novel externally driven environment and represents individual decision-makers as having autonomous perceptions but constrainable decision-making freedom. Its primary contribution is the illumination of core dynamics and causal mechanisms in the opportunity-transitioning process. During model construction the apparently simple concept of opportunity-transitioning turns out to be complex, and the apparently complex integration of exogenous and endogenous environments with all three views of opportunity pursuit in the entrepreneurship literature, turns out to be relatively simple. Simulation outcomes using NetLogo contribute to CTS by confirming the positive effects on agent performance of opportunistic transitioning among opportunities in highly dynamic environments. The simulations also reveal tensions among some of the chosen variables and tipping points in emergent behaviours, point to areas where theoretical clarity is currently lacking, provoke some interesting questions and open up useful avenues for future research and data collection using other methods and models. Guidance through numerous stylized facts, flexible methods, careful documentation and description are all intended to inspire interest and facilitate critical discussion and ongoing scientific work.
Epidemiology of invasive fungal infections and rationale for antifungal therapy in patients with haematological malignancies

Invasive fungal infections (IFIs) in patients with haematological malignancies are difficult to diagnose and outcome is often fatal. Over the 7‐month study period, 117 cases with haematological malignancies receiving systemic antifungal treatment were included. Data regarding antifungal agents, dosage and reason for administration were recorded. Fungal infections in study patients were classified as possible, probable or proven according to recent European Organization for Research and Treatment of Cancer criteria. During the study period, 690 cases with haematological malignancies were admitted. A total of 117 cases received systemic antifungal therapy. Twenty‐four of 117 patients (21%) had possible, six (5.1%) had probable and four (3.4%) had proven IFI. Seven of 10 probable and proven infections were caused by Candida spp. , 2 by Aspergillus spp. and 1 by a fungus belonging to Zygomycetes. Fifty‐two of 117 patients (44%) received antifungal prophylaxis, 81 of 117 (69%) received empirical (31/117; 26%) or pre‐emptive (50/117; 43%) antifungal therapy and four of 117 patients (3.4%) directed antifungal therapy. Mostly, systemic antifungal therapy was administered empirically or pre‐emptively. Twenty‐nine per cent of cases receiving systemic antifungal treatment met the international consensus criteria of mostly possible IFI, whereas 71% did not. Proven invasive fungal infections were rare.
A study on revenue management of Taiwan High Speed Railway

This study applies yield management to calculate the optimum rate and discriminate price rates for Taiwan High Speed Railway to maximize the revenue. The authors find: 1. The north bound train prices have higher average elasticity than the south bound train, which could be taken advantages to increase the revenue. 2. When the price elasticity is set to be 1.2 based on the price discriminations, there could be 3.37%–6.59% revenue increase potential. 3. Adopting the reservation data to adjust the prices and allocation of the unreserved seats, we can find the optimum ratio and price.
The impact of intermittent claudication on quality of life evaluated by the Sickness Impact Profile technique

Abstract. Unselected patients suffering from intermittent claudication (n= 148) were invited to take part in a prospective study. Physical examination and several circulatory investigations were performed including a treadmill walking test, bicycle ergometry and a quality of life examination (Sickness Impact Profile, SIP, technique). The SIP has been reported to be sensitive enough to identify specific dysfunction profiles in several clinical conditions, but it has not been used on patients with intermittent claudication. The aim of this study was to determine to what extent quality of life was influenced by reduced walking ability in patients with intermittent claudication. If so, the SIP technique should then be a useful tool for determination of the degree of reduced exercise capacity in patients who may benefit from surgery instead of conservative treatment. A majority of the SIP categories, Sleep and rest, Emotional behaviour, Body care and movement, Home management, Mobility, Social interaction, Ambulation and Overall SIP were shown to be useful in confirming objective dysfunctions in our patients. The correlation between maximum walking ability and SIP scores indicated an approximate cut‐off limit at 70 W walking capacity. Thus, significant reductions in everyday life function were demonstrated in patients with maximum walking ability below 70 W. Patients with intermittent claudication also suffered from several other dysfunctions in addition to walking disability. These factors may, as well, impact on quality of life without walking disability.
Postoperative Analgesia Following Caesarean Section: Intravenous Patient Controlled Analgesia versus Conventional Continuous Infusion

Background: Management of postoperative pain after caesarean section (C/S) requires a balance between pain relief and undesirable side effects of drugs and technique. In order to improve postoperative pain management after caesarean section, we compared intravenous patient controlled analgesia (IV-PCA) with our current hospital practice, which is continuous opioid infusion. Method: We enrolled one hundred and twenty patients in our prospective randomized trial after an uneventful elective caesarean section under spinal anaesthesia. All patients received 0.5 mg/kg bolus of pethidine on first complaint of pain or at 120 minutes after institution of spinal anaesthesia. Depending upon the randomization, Group P received IV-PCA with 0.15 mg/kg bolus pethidine with 10-minute lockout and Group C received continuous pethidine infusion at a rate of 0.15 mg/kg/hr. Statistical analysis: For qualitative variables means and standard deviations were computed and analyzed by T-test, Mann Whitney U test and repeated measures ANOVA. Frequency and percentages were computed for qualitative data and analyzed by Chi-Square and Fischer exact test. A p-value of less than 0.05 was treated as significant. Results: The numeric rating score for pain, need for rescue analgesia and incidence of nausea and vomiting was significantly lower (p-value < 0.001) in IV-PCA group as compared to continuous infusion group at 6, 12 and 24 hours postoperatively, 98% of the patients were satisfied with pain management in Group P as compared to 70% (p < 0.001) in Group C. Conclusion: Our results showed improved pain control, less need for rescue analgesia for breakthrough pain, lower incidence of nausea and vomiting and greater patient satisfaction with IV-PCA. In the absence of preservative free narcotics for intrathecal use, postoperative pain management can be significantly improved by using IV-PCA instead of continuous opioid infusion in patients undergoing caesarean section.
Acute physiological and perceptual responses to high‐load resistance exercise in hypoxia

This study assessed whether hypoxia during high‐load resistance exercise could enhance the acute physiological responses related to muscular development. Twelve trained men performed exercise in three conditions: normoxia (fraction of inspired oxygen [FIO2] = 21%), moderate‐level hypoxia (FIO2 = 16%) and high‐level hypoxia (FIO2 = 13%). Exercise comprised high‐load squats and deadlifts (5 × 5 using 80% of 1‐repetition maximum with 180‐s rest). Muscle oxygenation and activation were monitored during exercise. Metabolic stress was estimated via capillary blood sampling. Perceived fatigue and soreness were also quantified following exercise. While the hypoxic conditions appeared to affect muscle oxygenation, significant differences between conditions were only noted for maximal deoxyhaemoglobin in the deadlift (P = 0·009). Blood lactate concentration increased from 1·1 to 1·2 mmol l−1 at baseline to 9·5–9·8 mmol l−1 after squats and 10·4–10·5 mmol l−1 after deadlifts (P≤0·001), although there were no between‐condition differences. Perceived fatigue and muscle soreness were significantly elevated immediately and at 24 h following exercise, respectively, by similar magnitudes in all conditions (P≤0·001). Muscle activation did not differ between conditions. While metabolic stress is thought to moderate muscle activation and subsequent muscular development during hypoxic resistance training, it is not augmented during traditional high‐load exercise. This may be explained by the low number of repetitions performed and the long interset rest periods employed during this training. These findings suggest that high‐load resistance training might not benefit from additional hypoxia as has been shown for low‐ and moderate‐load training.
An Investigation into the Impact of Employer Brand on Attracting and Recruiting Employees in a Non-Profit Organisation in Ireland

This research intends to investigate the impact employer brand has on recruitment and attraction in non-profit organisations in Ireland. The topic of employer branding has become increasingly popular in the field of Human Resources in recent years. Employer brand is generally associated with corporate organisations and there is limited research on employer brand in non-profit organisations. The aim of this research is to investigate employer brand in a non-profit organisation. The researcher will take a qualitative approach in their research and will interview 9 individuals that work in a non-profit organisation in Ireland. The research design is a case study. The interviews conducted will be semi-structured interviews and thematic analysis will be used to analyse the interviews. From conducting these interviews, the researcher hopes to gain a better understanding of what attracts individuals to non-profit organisations. The researcher found that the employer brand does have an impact on recruitment and attraction in non-profit organisations. Six themes emerged from the interviews. It was found that trust plays an important role in non-profit organisations for the brand. If there is no trust or honesty associated with the brand, then individuals will not want to work with the organisation. Many of the participants noted that they were not aware of the brand before they applied for a position. However, they carried out research on the employer brand and then continued with the recruitment process when they could not see anything negative. Some participants furthermore noted that it was the values of the organisation and the work that the organisation carried out that attracted them to working in it. This research additionally showed that individuals in non-profit organisations have an emotional attachment to the employer brand.
Corporate Sustainability Reporting Practices in the Malaysian Oil and Gas Companies

Lately, the contribution of businesses towards sustainable development is a major concern for the top management, investors, creditors, auditors as well as the government. United Nations Principles for Responsible Investment (UNPRI) proposes businesses to align their responsible investment practices with broader sustainable objectives and considering sustainability issues evaluation. Therefore, the purpose of this paper is to examine the level of sustainability reporting among the Malaysian oil and gas pubic listed companies. This study investigates the intensity of sustainability reporting on the basis of Bursa Malaysia’s sustainability Reporting Guide and Toolkits in a sample of 41 oil and gas listed companies for 10 years i.e., from 2008 to 2017. The data was collected from the annual reports which were sourced through the Bursa Malaysia’s website as well as the websites of the respective companies. The results infer that the overall sustainability reporting level among the sample companies are rather encouraging. This can be due to the pressure on the Malaysian companies to the adhere regulatory compliance that would oblige the strategic requirements of an organizations. This paper is unique in terms that it considers all the three dimensions of sustainability i.e. economic, environmental and social sustainability as most of the previous literature addressed these separately. Moreover, this study has important findings for regulators, practitioners, researchers and other stakeholders, as it sketches the efficacy and potential strengths of sustainability disclosure practices in the oil and gas companies. Keywords: sustainability reporting, oil and gas companies, Malaysia.
Adoption of information systems throught innovation diffusion theory and technology acceptance model: Systematic literature review

Purpose: Nowadays, most companies invest in buying or developing an information system in order to facilitate and follow its work. But sometimes final users reject these tools and consequently it causes a waste of time and money for companies. This problem has attracted and continues to attract the attention of several researchers. The present work joins this perspective and seeks to identify the determinants of the adoption of an IS by the final users. To do this, we present a literature review about the evolution and limitations of the two theories of adoption: IDT (Innovation diffusion theory) and TAM ( Technology acceptance model ) and analyze the works related to these two theories in order to have a comparative analysis of the different versions of these theories and have an idea about the best theory and therefore knowing the factors that influence the adoption of IS. Findings : The results of this systematic review show that the TAM theory remains the most used and the most practical theory that answer the question of the adoption of IS. Research limitations: We can’t generalize the finding because even if the number of the documents studied is representative, it is still insufficient compared to the sample of published studies and we still need to do a statistical analysis to confirm the finding in order to have more accurate results.
Compassion Fatigue Among Chaplains, Clergy, and Other Respondents After September 11th

From the *American Red Cross, New York, New York; †The HealthCareChaplaincy, New York, New York; ‡The Traumatology Institute in theSchool of Social Work, Florida State University, Tallahassee, Florida.Send reprint requests to Rabbi Roberts, c/o HCC 307 E. 60th Street, NYC, NY10022Copyright © 2003 by Lippincott Williams & WilkinsDOI: 10.1097/01.nmd. 0000095129.50042. 30
Identifying Health and Wellbeing Living Lab Business Model Attributes

The number of officially certified Living Labs have been steadily growing since the launch of European Network Living Labs (ENoLL) over a decade ago. By far the most popular thematic focus area among ENoLL members is the health and wellbeing, which covers nearly a half of all certified Living Labs. However, the studies evaluating Living Lab business models in general and especially those focusing on health and wellbeing Living Labs are rare. By applying industry standard Business Model Canvas (BMC) approach, this study identifies what kind of attributes Health and Wellbeing Living Labs are including within nine business model canvas elements. The data grounded on 16 Baltic Sea region Health and Wellbeing Living Labs identified a great attribute variety, which are ranked based on popularity. Our findings clearly support previous suggestions which argue that Living Labs have common elements, but multiple different implementations. The need to develop Living Lab specific business modelling tools was recognized.
Automated design of random dopant fluctuation resistant MOSFETs

An optimization technique is presented for the design of fluctuation resistant MOSFETs. This technique allows the computation of the doping profiles that minimize the standard deviation of fluctuations of transistor parameters induced by random dopant fluctuations (RDF). Constraints are taken into consideration by using the Lagrange multipliers technique. It is shown that by carefully designing the doping profiles, the random dopant-induced fluctuations of threshold voltage can be suppressed up to 50% in MOSFETs with channel lengths of 25 nm. Analytical equations are presented for the optimum doping profiles that minimize the random dopant-induced fluctuations of the threshold voltage in long-channel MOSFETs. It is shown that, in both long-channel and short-channel devices, the size of the undoped region should be at least ¿ of the width of the depletion region in order to suppress efficiently the random dopant-induced fluctuations.