Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of a Solar-Assisted Air-Conditioning System Applied to a Remote School

In this work, we present an absorption cooling system with 35 kW capacity driven by solar thermal energy, installed in the school of Puertecitos, Mexico, an off-grid community with a high level of social marginalization. The cooling system provides thermal comfort to the school’s classrooms through four 8.75-kW cooling coils, while a 110-m2 field of evacuated tube solar collectors delivers the thermal energy needed to activate the cooling machine. The characteristics of the equipment installed in the school were used for simulation and operative analysis of the system under the influence of typical factors of an isolated coastal community, such as the influence of climate, thermal load, and water consumption in the cooling tower, among others. The aim of this simulation study was to determine the best operating conditions prior to system start-up, to establish the requirements for external heating and cooling services, and to quantify the freshwater requirements for the proper functioning of the system. The results show that, with the simulated strategies implemented, with a maximum load operation, the system can maintain thermal comfort in the classrooms for five days of classes. This is feasible as long as weekends are dedicated to raising the water temperature in the thermal storage tank. As the total capacity of the system is distributed in the four cooling coils, it is possible to control the cooling demand in order to extend the operation periods. Utilizing 75% or less of the cooling capacity, the system can operate continuously, taking advantage of stored energy. The cooling tower requires about 750 kg of water per day, which becomes critical given the scarcity of this resource in the community.
Design and Optimization of a Flux-Modulated Permanent Magnet Motor Based on an Airgap-Harmonic-Orientated Design Methodology

In this article, an airgap-harmonic-orientated design method is proposed, where the airgap harmonics are newly acted as the effective bridge between the three key elements of permanent magnet sources, modulators, or armature windings and the motor performances. In the proposed design method, the airgap harmonics play couple roles of design objectives and variables, which are not only served as the design variables for the motor performances, but also considered as the objectives for design parameters. For extensive investigation, a V-shape flux-modulated permanent-magnet (V-FMPM) motor is selected as a design example, which has a potential application for the electrical vehicles. In the optimization process, the sensitivity analysis of different airgap harmonics on the torque performance is conducted to select the leading airgap harmonics. Meanwhile, the sensitivity degrees of the design parameters on the leading harmonics are calculated to pick out the sensitive design parameters. Then, the performances of the V-FMPM motor are evaluated for validating airgap-harmonic-orientated design method. Finally, a prototype motor is built and tested. Both the theoretical analysis and experimental results verify the effectiveness and reasonability of the proposed design method and the V-FMPM motor.
The effect of political connections on CSR performance in the banking sector

The financial crisis was followed by a revived interest in corporate social responsibility (CSR) principles within the banking sector. CSR should make the banking sector more ethically aware and transparent (Krasodomska, 2015), potentially benefiting society as a whole and benefit the firm. Consequently, it would seem relevant to examine what factors determine the level of CSR performance in in the financial sector. While there is abundant literature on the determinants of CSR performance, this research will add to the existing literature by introducing political connections as a potential determinant of CSR performance in OECD countries. Specifically, this thesis addresses the effect of political connections CSR performance in the banking sector. Additionally, this thesis assesses whether the strength of environmental policy stringency in different countries positively moderates this relationship. Using a sample of 151 banks from OECD countries, over an 8-year period, overall the findings support the idea that political connections do not influence corporate social responsibility performance within the banking sector. Environmental policy stringency negatively affects the relationship between political connections and CSR performance, however this result is not robust.
Influence of Evacuation Walkway Design Parameters on Passenger Evacuation Time along Elevated Rail Transit Lines Using a Multi-Agent Simulation

Passenger evacuation on elevated railway lines has always been an important issue for elevated rail transit safety management, because it is challenging to evacuate passengers efficiently in the event of man-made calamities and natural disasters. Therefore, an evacuation walkway has been designed as a primary solution to assist passenger evacuation during an emergency on elevated rail transit lines. However, investigations on how evacuation walkway designs influence passenger evacuation time are still limited. This study established two evacuation scenarios of interval evacuation on elevated rail transit lines and put forward a new evacuation time measurement method, based on the concept of ‘evacuation time for passengers leaving the evacuation walkway risk zone’. Then, the evacuation time for 90 combinations of entrance widths and walkway widths was simulated by a multi-agent evacuation simulator, Pathfinder, considering 1032 passengers being evacuated both unidirectionally and bidirectionally. The results show that the entrance width and walkway width have a combined effect on passenger evacuation time. An increase in the walkway width from 0.7 m to 1.5 m may potentially reduce the evacuation time by 54.5% in unidirectional evacuation, and 35.2% in bidirectional evacuation. An increase in the entrance width results in a noticeable evacuation time fluctuation when the walkway width is 0.7 and 0.8 m for both evacuation scenarios, while in a bidirectional evacuation, a noticeable fluctuation also can be observed when the walkway width is within the range of 1.4–1.5 m. According to the study, a potentially good design parameter combination for a newly built evacuation walkway is 1.3 m and 1.4 m for the walkway width and entrance width, respectively. The findings from this study may provide a useful reference in the optimization of the design of evacuation facilities and improvement of passenger evacuation safety in rail transit systems.
Addressing Social Concerns through the Corporate Social Responsibility Activities of the Centro Cientifico Tropical

Companies can negatively and positively impact the quality of life of communities in Costa Rica's biological corridors. While biological corridors protect migration paths for species, they also form a network of farms, community centers, and villages whose actions affect the ecosystem of the corridors. Corporate Social Responsibility (CSR) is a voluntary way for companies to manage their environmental, social, and economic impacts. The Centro Científico Tropical’s (CCT) goal is to improve its CSR program and positively impact the Costa Rican biological corridors. Through community and expert interviews and observations in biological corridors, we developed recommendations for the CCT to improve its CSR program to strengthen the economic and social environments of the local communities.
Displacement in the Name of Development. How Indigenous Rights Legislation Fails to Protect Philippine Hunter-Gatherers

Abstract Yearly, development-induced displacement affects some 20 million people, a disproportionate share of whom are indigenous. Within the diverse category of indigenous peoples, hunter-gatherers are especially vulnerable to displacement as they form the least powerful sectors of society. While displacement poses a major threat to the few remaining hunter-gatherer peoples, case studies of how this process unfolds are scarce. This ethnographic study details how two decades of indigenous land rights legislation have been ineffective in preventing displacement of indigenous communities in the Philippines, through the case of Agta hunter-gatherers of Dimasalansan. The paper demonstrates how procedural inconsistencies, institutional competition and a development paradigm focused on commodification of land have undermined the legal titling process. We argue that the ensuing land-rush that currently displaces Agta is symptomatic for how the implementation of indigenous land rights legislation is undermined by business interests, thereby creating more uncertainty than certainty for the least powerful.
Holding a world café with medical educators

The University of Liverpool introduced a new integrated spiral MBChB undergraduate medical curriculum in 2014/15. One aspect of this change was ensuring that key stakeholder partners (such as Trusts, hospitals and community GPs) felt supported and knowledgeable about the new programme delivery. Therefore, a World Cafe event was organised to identify issues relating to the new programme, and what the University could do to support the delivery of the curriculum in placement settings. Results from the event were thematically coded into topics including student skills, attendance, good practice, professionalism and technology. The event provided valuable information for the school and medical educators to help improve the student experience across placements and ensure effective partner working between stakeholders.
Exploring the Drivers of Irrigator Mental Health in the Murray–Darling Basin, Australia

There has been little work conducted on how landholders’ farm management approaches and financial capital (specifically (i) farm method such as organic farming and (ii) financial profitability) may impact mental health. In particular, there is emerging evidence that an increase in natural farm capital and environmental conditions may improve farmers’ wellbeing. We used a 2015–2016 survey, which randomly sampled 1000 irrigators from the southern Murray–Darling Basin, to model the drivers of irrigators’ psychological distress. Results highlight that worsening financial capital (namely, lower farmland value, higher farm debt, lower percentage of off-farm income, lower productivity change over the past five years, and lower net farm income) was the most statistically significant factor associated with increased irrigator distress. In addition, there was some evidence that being a certified organic irrigator was also associated with lower psychological distress; however, it was only weakly significant in our overall model, with the most significance within the horticultural industry model. Contrary to expectations, drought and water scarcity were not the main drivers of psychological distress in the time-period studied, with their influence seemingly through reducing financial capital as a whole.
Does the Housing Allowance Policy Create a Poverty Trap in the Netherlands

This study examines the effect of the Dutch housing allowance policy on several household behaviors, which may be creating economic inefficiencies. The income limits for determining eligibility for housing allowance create discontinuities in housing allowance, which are used to implement a fuzzy regression discontinuity design. The results show that while housing allowance makes housing more affordable, it also raises concerns of a possible poverty trap via adverse effects of housing allowance on income and labour supply for
An Extensive Investigation of an Eco-Approach Controller under a Partially Connected and Automated Vehicle Environment

This study evaluated the performance of an eco-approach control system at signalized intersections under a partially connected and automated vehicle (CAV) environment. This system has the first eco-approach controller able to function with the existence of surrounding human-driven traffic. A previous evaluation only confirmed its benefits. The purpose of this study was to conduct a further extensive test on the controller to identify room for improvement. Two different networks were tested, including an isolated signalized intersection and a corridor with two signalized intersections. The measures of effectiveness (MOEs) adopted were throughput and fuel consumption. All the before-and-after MOEs were compared using t-tests. The results indicate that the controller generally improved the fuel efficiency without harm to the mobility, and its environmental performance was affected by the minimum CAV speed, green ratio, congestion level, and marker penetration rate of CAVs. A detailed investigation revealed that no significant environmental benefit was generated under high congestion levels when the minimum speed of CAVs was more than 20 mph, and the shockwaves caused by the eco-approach control may result in a gating effect that reduces the throughput at the upstream intersection of the corridor under high congestion levels.
Survey On Text Categorization Using Sentiment Analysis

— Twitter is a blog website online on internet which offers the platform to humans to experience and talk their perspectives about troubles, occurrences, merchandise and exclusive mind. Sentiment Analysis is an open-ended subject of research in the text mining area. Using several systems gaining knowledge of algorithms for evaluation of sentiments from exceptional tweets having a most of one hundred forty phrases consistent with a tweet and proposes a studies technique for improvisation of class. This survey paper tries to provide an entire evaluation of the modern replace in this discipline. The most important goal of this survey is to give a complete picture of ways Machine studying strategies are used in Sentiment Analysis to get better effects in short details. Also, we will have a look at basic emotion’s classification into ternary lessons i.e. Fantastic, negative, neutral the usage of exclusive device learning algorithm and type into their subclasses i
DIGITAL BUSINESS INTENSITY AND CONSTRUCTIVE PROCESS DEVIANCE: A STUDY OF REACTIONS TO DIGITISATION-FOCUSED PROCESS INNOVATION

Today’s fast-moving business requires firms to implement new digital processes both internally and externally. Though the strategic decision to invest in digitisation is a starting point, the successes of these initiatives are largely dependent on employees’ willingness to help implement these strategies — both employees working in IT departments and on the “frontline”. This research aims to investigate the conditions under which digital business intensity, defined as the level of strategic organisational investments in emergent and innovative digital technologies, leads to felt obligations towards the employer and subsequently to constructive process deviance. In two workshops with IT professionals, we unraveled digitisation-related components that drive felt obligations. We then conducted a survey of 427 employees who recently experienced the introduction of new digital processes. The data was analysed with structural equation modeling and multi-group analysis. We find that digital business intensity has an effect on felt obligation, but not on constructive process deviance. In addition, we find that the path from felt obligations to constructive process deviance is different for IT professionals compared to non-IT professionals. The study concludes by delineating implications for theory and management in an age of digital transformation.
Association rule learning to improve deficiency inspection in port state control

ABSTRACT The inspection of foreign ships in national ports is a critical measure in port state control (PSC), preventing substandard ships from entering national ports. Multifarious inspection items, limited inspection time and inspector manpower are challenging PSC inspection. This research applies data mining to analyze historical PSC inspection records in Taiwan’s major ports to extract potential valuable information for PSC onboard inspections. Using the Apriori Algorithm, the analysis identifies many useful association rules among PSC deficiencies in terms of specific ship characteristics, such as ship types, societies, and flags. The general rules identified show that the items ‘Water/Weathertight conditions’ and ‘Fire safety’ are significantly related. Besides, in the analysis of the various ship types, several different rules are found. After comparing the analysis of ship types and ship societies, it can be observed that the association rules for specific ship types, such as oil tankers, have a better effect than those for individual ship societies do. These identified rules can not only help inspectors effectively spot the associated deficiencies, but also improve the efficiency of PSC inspection. The ports other than Taiwan’s ports can apply a similar analysis method to identify corresponding association rules suitable for their own inspections.
Building an econometric model for african oil production

The aim of the paper is to identify which factors influence the production of crude oil in Africa and what it means for the investments in oil production on this continent in the future. In order to identify these factors it is necessary to create a function of production. A number of variables have been chosen, which are likely to have an influence on the level of exploitation, such as the price of oil, oil consumption in Africa, oil import by the US, etc. The estimation of the function was based on the statistical analysis of empirical data. For the years 1980–2015 the linear regression model was estimated using the method of ordinary least squares (OLS) and econometric software – GRETL. In order to find the best model the academic research on the global oil market has been taken into account and a variety of statistical and econometric tests have been made. According to the literature on the subject, the production of crude oil in Africa is mostly affected by two players – Europe and the US. The first includes the member states of the OPEC. There are also countries of West Africa which in the past exported most of their production to the US. The model shows that the situation has changed after the “shale revolution”, which reduced the level of imported oil and consequently the level of African production. Moreover, an interesting trend has been noticed, namely that when oil prices go up, the oil production in Africa decreases. The reason for this phenomenon is that high oil prices make American shale plays more profitable than West African petroleum basins. The model aggregating macroeconomic indicators and statistics is a very useful management tool and it reveals the problems of the efficiency of investments in oil production in Africa.
A Method for Disentangling Multiple Treatments from a Regression Discontinuity Design

In many settings, a policy discontinuity comprises several treatments that cannot be separately identified using a standard regression discontinuity design. I propose a method for identifying distinct treatment components from a single discontinuity by exploiting the asymmetry between entities entering versus exiting treatment. Using data from New York City for 2009–13, I apply my strategy to the discontinuity associated with the introduction of class size caps—a widespread approach for reducing class sizes. I find that class size reductions increase student achievement, although these gains are counteracted by a newly hired teacher effect. The method has broad potential applicability.
Early rehabilitation and participation in focus – a Danish perspective on patients with severe acquired brain injury

Abstract Early neurorehabilitation is an interdisciplinary field. Thus, in order to eliminate unnecessary barriers for individuals with severe acquired brain injury in early rehabilitation, we need rehabilitation science that supports both quantitative and qualitative research methods. Participation can be studied directly and indirectly. This commentary proposes that active participation and the “lived body” are essential terms in early rehabilitation of severe ABI patients, and a description of how these terms are interpreted and handled in the practice is needed.
Thermal Performance of a PCM-Based Thermal Energy Storage with Metal Foam Enhancement

The energy transport inside a phase change material (PCM) based thermal energy storage system using metal foam as an enhancement technique is investigated numerically. The paraffin is used as the PCM and water as the heat transfer fluid (HTF). The transient heat transfer during the charging and discharging processes is solved, based on the volume averaged conservation equations. The flow in PCM/foam and HTF/foam composites is modelled by the Forchheimer-extended Darcy equation, while the two-temperature model is employed to account for the local thermal non-equilibrium effect between the foam matrix and fluid phase. The results show that the overall performance is greatly improved by inserting metal foam in both HTF and PCM sides. A nearly 84.9% decrease in the time needed for the total process is found compared with the case of pure PCM, and 40% compared with the case of metal foam insert only in the PCM side. Foam porosity and HTF inlet temperature greatly affect the dynamic heat storage/release process.
Discrete-time Adaptive Regulation of Systems with Uncertain Upper-bounded Input Delay: A State Substitution Approach

This paper proposes a discrete-time adaptive regulation approach for scalar linear time-invariant systems with unknown, constant input time delay that has a known upper-bound, without explicitly estimating the time delay. To cope with the unknown time delay, a state substitution is made that results in a delay free system that simplifies the control law design. In addition, the proposed approach does not require that the system have stable open-loop zeros. A stability analysis shows that the proposed regulator drives the system state to zero asymptotically and simulation results are shown to verify the approach.
The NIH Consensus Development Program. The evolution of guidelines.

: The U.S. National Institutes of Health (NIH) Consensus Development Program (CDP) Guidelines have undergone some modifications over the program's 18-year history. They have never been published in archival form. This article reviews the evolution of the NIH CDP Guidelines and then presents the complete 1995 version.
Energy Cycle Optimization of Mobile Phones Using A Sleep Cycle Optimization Algorithm

Researchers and mobile network operators are dealing with the steep rise in energy consumption of mobile phones. A massive amount of phones are available in the market which are updating services from time to time. The problem lies in their battery drainage in response to the usage of internet-based applications including online streaming, multimedia requests, social networking usage and many more. In this research, a new technique is proposed and evaluated for energy optimization in mobile phones by exploiting the listening cycle of the mobile station (MS) wake-up mode while connected to the base station (BS) that is connected to a mobile network based on IEEE 802.16e. An MS cannot communicate with the BS if it is in the sleep mode while the other is in the wake-up mode. Service time and sojourn time are assumed to be exponential and based on t-distribution. The confidence interval comes up to 95% for our technique. The relative error is computed between the earlier techniques available and the approximated proposed one. Results show that there is a considerable improvement in energy consumption as compared to the other available techniques.