Miracle-dz/UniFAR-FTUs huggingface dataset:
What information and resources do carers require pre and post bereavement in the acute hospital setting? A rapid review.

PURPOSE OF REVIEW This mixed-method, rapid review of published research from 2014 to 2019 aims to explore the experiences of pre and postbereaved carers, and the information that they receive in the acute hospital setting. The quality of articles was evaluated using a standardized quality matrix. The techniques of conceptual analysis and idea mapping were used to create a structured synthesis of the findings. RECENT FINDINGS From the initial search of 432 articles, ten studies met the inclusion criteria for this review. These studies generated data from 42 patients, 1968 family/carers and 139 healthcare staff. Themes that were generated from a synthesis of the included articles were clear and timely communication, workforce provision and environment. SUMMARY This review has highlighted the need for improvements in information provision for carers as part of end of life care. Furthermore, the need for specific staff education and training to enable staff to confidently communicate with dying patients and their relatives in the acute setting is also warranted. Understanding and addressing gaps in knowledge and practice are essential to develop strategies in this complex area. Simple strategies can be implemented to improve the care of carers both pre and post bereavement in acute care.
Inequalities in student to course match: evidence from linked administrative data

This paper examines inequalities in the match between student quality and university quality using linked administrative data from schools, universities and tax authorities. We analyse two measures of match at the university-subject (course) level, based on student academic attainment, and graduate earnings. We find that students from lower socio-economic groups systematically undermatch for both measures across the distribution of attainment, with particularly stark socio-economic gaps for the most undermatched. While there are negligible gender gaps in academic match, high-attaining women systematically undermatch in terms of expected earnings, largely driven by subject choice.
Efficacy of combined modality therapy with sorafenib following hepatic arterial injection chemotherapy and three-dimensional conformal radiotherapy for advanced hepatocellular carcinoma with major vascular invasion

The prognosis of hepatocellular carcinoma (HCC) patients exhibiting macroscopic vascular invasion (MVI) is poor, and the most appropriate treatment approach remains unclear. The current study aimed to investigate the efficacy and safety of sorafenib treatment following chemoradiotherapy for advanced HCC exhibiting MVI. A newly reported regimen, including 5-fluorouracil and cisplatin therapy (NewFP), plus three-dimensional conformal radiotherapy (3D-CRT) for MVI was used as the initial treatment. Additionally, sorafenib, as a secondary treatment, was administered after NewFP plus 3D-CRT for MVI. The present retrospective study enrolled patients with unresectable advanced HCC that was treated with NewFP plus 3D-CRT for MVI between January 2009 and December 2017. In total, 32 HCC patients with MVI were registered. Of these 32 patients, 18 were treated with NewFP plus 3D-CRT for MVI (NewFP + 3D-CRT group) and 14 were treated with sorafenib following NewFP plus 3D-CRT for MVI (sorafenib after NewFP + 3D-CRT group). The study endpoints were overall survival, overall response rate and disease control rate. Clinical factors influencing overall survival were identified using univariate and multivariate analyses. The median survival time in the NewFP + 3D-CRT group and sorafenib following NewFP + 3D-CRT group was 6.7 and 49.2 months, respectively (P=0.0003). For patients with advanced HCC exhibiting MVI, the initial treatment with NewFP plus 3D-CRT for MVI was well tolerated. The administration of sorafenib as the secondary treatment following NewFP plus 3D-CRT for MVI was associated with a significantly higher overall response rate, disease control rate and increased overall survival as compared with the NewFP plus 3D-CRT treatment.
Language Experience Impacts Brain Activation for Spoken and Signed Language in Infancy: Insights From Unimodal and Bimodal Bilinguals

Recent neuroimaging studies suggest that monolingual infants activate a left-lateralized frontotemporal brain network in response to spoken language, which is similar to the network involved in processing spoken and signed language in adulthood. However, it is unclear how brain activation to language is influenced by early experience in infancy. To address this question, we present functional near-infrared spectroscopy (fNIRS) data from 60 hearing infants (4 to 8 months of age): 19 monolingual infants exposed to English, 20 unimodal bilingual infants exposed to two spoken languages, and 21 bimodal bilingual infants exposed to English and British Sign Language (BSL). Across all infants, spoken language elicited activation in a bilateral brain network including the inferior frontal and posterior temporal areas, whereas sign language elicited activation in the right temporoparietal area. A significant difference in brain lateralization was observed between groups. Activation in the posterior temporal region was not lateralized in monolinguals and bimodal bilinguals, but right lateralized in response to both language modalities in unimodal bilinguals. This suggests that the experience of two spoken languages influences brain activation for sign language when experienced for the first time. Multivariate pattern analyses (MVPAs) could classify distributed patterns of activation within the left hemisphere for spoken and signed language in monolinguals (proportion correct = 0.68; p = 0.039) but not in unimodal or bimodal bilinguals. These results suggest that bilingual experience in infancy influences brain activation for language and that unimodal bilingual experience has greater impact on early brain lateralization than bimodal bilingual experience.
Could High-Tech Companies Learn from Others While Choosing Capital Structure?

This paper analyzes why high-tech firms are less likely to have debt in their capital structure. The share of zero-leverage firms increased in the US in the Software & Services, Hardware Equipment and the Pharmaceutical & Biotechnical industries which are treated as high-tech firms in our research. We divide the sample of US-based firms from the RUSSELL 3000 index for the period from 2004 to 2015 into two groups, one of them includes only high-tech firms, another contains all other firms from the sample. Traditional determinants of corporate structure such as size, age, asset tangibility, profitability and market-to-book ratio cannot fully explain why high-tech firms choose a zero-debt policy. We found that high-tech firms are more financially constrained than non-high-tech firms. The managerial entrenchment hypothesis could not predict zero-leverage for high-tech firms, but it can partially predict the debt conservatism of non-high-tech firms. The evidence shows that the excess cash hypothesis explains why unconstrained high-tech firms have zero-leverage but does not explain it for non-high-tech firms. Finally, we did not find a significant influence of the financial flexibility hypothesis for the decision of unconstrained high-tech firms to be unlevered, while for their non-high-tech counterparts this hypothesis fits
Development and validation of public–private partnerships framework for delivering housing projects in developing countries: a case of Tanzania

Abstract The supply of adequate houses is still a big challenge in many developing countries, particularly in Africa, where the population and urbanization rate is continuously growing. Increasingly Governments in many developing countries have adopted public–private partnerships (PPPs) to meet their housing needs. However despite the adoption, problems still remain and the progress is slow. Various studies have examined the ranges of issues that have produced the poor results in delivering PPP projects in developing countries. However; no tool (framework) has been developed to address these challenges for a successful outcome. Therefore, the aim of this study was to present a validated PPP framework which will address the identified challenges in order to improve housing delivery. The proposed housing PPP framework was empirically validated by 12 PPP experts who were purposely selected in order to ascertain its applicability, effectiveness and adaptability. The results of the validation showed that the proposed measures within the housing PPP (HPPP) framework all rated above the test value, thus demonstrating its viability. The implication of the findings is the applicability of the HPPP framework in assisting the stakeholders address the existing challenges. Second, the framework has the potential of providing valuable guidance and roadmaps for successful delivery of PPP housing projects in developing countries.
The influence of physical and mental constraints to a stream of people through a bottleneck

Understanding movement in heterogeneous groups is important for a meaningful evaluation of evacuation prediction and for a proper design of buildings. The understanding of interactions and influencing factors in heterogeneous groups on key performance figures is fundamental for a safe design. This contribution presents results of experimental studies on movement of a crowd through a bottleneck involving participants with and without disabilities. High precise trajectories of the attendees extracted from video recordings were used to calculate density and velocity of the participants. Besides the well-established fundamental diagram new insights into the individual relation between density and velocity are discussed. A complex structure and considerate behaviour in movement implicates a strong influence of the heterogeneity on key performance values of safe movement.
On Residual Energy Maximization in Cognitive Relay Networks With Eavesdropping

This paper addresses a residual energy maximization problem on a two-hop decode-and-forward relay-assisted cognitive radio network operating in a time-slotted mode in the presence of an eavesdropper. In the first time slot, spectrum sensing (SS) and energy harvesting (EH) from the received signal of the primary user (PU) are done simultaneously by the secondary transmitter through power splitting mode. On the next time slot, the secondary transmitter either harvests energy or transmits its own data to the relay node based on the SS decision result. The relay node subsequently either forwards this data or harvests energy based on the activity followed by the secondary transmitter node. Considering both linear and EH models, an optimization nonlinear problem of residual energy maximization is explored under the constraints of sensing reliability of the PU, secondary outage probability, and secrecy outage probability. Closed-form expressions of the sensing time and secondary and relay transmit power are derived both in the presence and absence of an eavesdropper. The impact of eavesdropping on detection probability, false alarm probability, secondary outage probability, and residual energy are analyzed. Simulation results show that about $\sim$21.19% and $\sim$42.84% gain in total residual energy values are achieved compared to the existing works.
Seeking the Mediating Effect of Optimism toward Hardiness and Health-Promoting Behavior among East Jakarta’s Low-Income Community

East Jakarta, as an administrative city within Jakarta, suffers from increasing number of low-income communities along with unhealthy characteristics that may lead to future problems for residents, such as poor sanitation, lack of education, and low awareness of health and hygiene. East Jakarta is the most populated area in Jakarta and the highest waste-producing. The Indonesian Ministry of Health stated the area has the highest number of households considered unhealthy. The government health-promoting behavior campaign (Perilaku hidup bersih dan sehat, PHBS) is not highly applied in the area, and there is a need for residents to be empowered through the campaign to improve their awareness. Hardiness as a dispositional characteristic of individuals may encourage health-promoting behavior (HPB); however, difficulties may occur due to the limited resources of health facilities in low-income communities. Optimism may play a role in increasing health behavior and strengthening hardiness. This study aims to investigate the mediating effect of optimism on the relationship between hardiness and HPB as part of the A purposive sampling technique was used to identify the area with the highest poverty level. One hundred fifty residents aged 18-29 from Kampung Melayu dan Cipinang Besar administrative villages, the area with the highest poverty level in the Jatinegara subdistrict of East Jakarta, were asked to fill out a questionnaire. They all had at least an elementary school education. All were categorized as low-income by local health workers. The data were analyzed using SPSS version 21 with Hayes’ PROCESS bootstrap method.
A Neural Network Controller For The Direct Power Control Of Doubly Fed Induction Generator

Rodrigo Andreoli de Marchi, Paulo S. Dainez, Fernando J. Von Zuben and Edson Bim State University of Campinas UNICAMP School of Electrical and Computer Engineering P.O. Box 6101 13083-852 Campinas Brazil ramarchi@dsce.fee. unicamp.br, psdainez@dsce.fee. unicamp.br, vonzuben@dca.fee. unicamp.br and bim@dsce.fee. unicamp.br Abstract In this paper a direct power control strategy for a doubly-fed induction generator by using an artificial neural network controller with the multilayer perceptron structure is presented. The control variables directand quadrature-axis rotor voltage signals are directly generated by proposed controller from both stator current and voltage that are measured by Hall sensors. The input variables of the control system are the rotor speed, the active and reactive power references and their respective errors. The proposed control strategy allows that the converter connected to the rotor terminals operate with constant switching frequency which simplifies the design of the AC harmonic filter and also prevents their power loss. To validate the proposed control strategy, digital simulation and experimental tests are performed for a 2.25 kW doubly-fed induction generator. A TMS320F2812 DSP is used to implement the neural network controller.
How Do Agro-Pastoral Policies Affect the Dietary Intake of Agro-Pastoralists? Evidence from Niger

We investigate the mechanisms underlying the effect of agricultural policies directed toward pastoralist households on their dietary intake. To do so, we pursue a mediation analysis while referring to theoretical agricultural household models. We decompose the total effect of selected policies on pastoralist dietary intake into an indirect effect, i.e., the effect that operates through pastoral profits, and a residual direct effect. Using an agro-pastoral survey conducted in Niger in 2016, the effects of extension services associated with better access to markets are found to be channeled through households’ annual profits from cattle and sheep raising, while this is not the case for private veterinary services and low-cost livestock feed programs. Extension services may foster specialization in cattle and sheep raising, which may incentivize households to move toward a nomadic lifestyle and change their food habits and thereby have detrimental consequences on their calorie intake. Besides, other life choices could be spurred or hampered by policies, such as migrations and radicalization.
Social-aware data dissemination via device-to-device communications in wireless networks

With the high penetration rate of smart mobile devices, it is appealing to exploit device-to-device (D2D) communications for data dissemination. The popularity of social networks also offers good opportunity to expedite data dissemination. In this thesis, we focus on designing schemes to perform effective social-aware data dissemination via D2D communications in wireless networks. Specifically, we aim to (1) balance between total energy consumption and transmission finishing time of data dissemination; (2) minimize total energy consumption of data dissemination while satisfying users’ social incentive and power budget constraint; (3) maximize users’ total preferences for messages while satisfying their incentives regarding social community; and (4) exploit social-awareness and opportunistic contacts with user mobility for data dissemination. Firstly, we propose spanning tree based algorithms for seed selection and transmission scheduling with a single seed and multiple seeds. Secondly, we propose a coalitional graph game based approach, which iteratively derives a proper transmission graph to coordinate the data transmission of the base
Does Customer Delight Matter in the Customer Satisfaction-Loyalty Linkage?

This research focuses on the relationships among customer satisfaction, delight, and loyalty. Although customer delight is one facet of an affective evaluation that can be predicted from customer satisfaction as cognitive component of the evaluation, there is no empirical examination on the casual relationship among customer satisfaction, delight, and loyalty. This study aims at addressing this gap in the service literature. The research questions are (1) How is customer satisfaction related to customer delight? and (2) Does customer delight matter in the relationship between customer satisfaction and loyalty? Data from a survey of consumers across upscale restaurant and retail bank in Korea were obtained. Our results show that customer satisfaction contributes positively to customer delight, and that customer delight plays a significant role in the relationship between customer satisfaction and loyalty. This chained relationship from customer satisfaction to customer delight to customer loyalty suggests that achieving customer delight represents one of the underlying pathways through which basic or core requirements expected by customers are satisfied. Our finding suggests that service firms need to monitor and manage their levels of customer delight as a performance metric, and delighting customers may be an important strategy to build competitive advantage through customer loyalty.
The Effect the Job Stress of Female Workers with Disabilities on Organizational Commitment: Focused on the Mediating Effects of Communication and Interpersonal Relationships

The objective of this study is to analyze the mediation effect of communication and interpersonal relations in the impact of job stress of female workers with disabilities on organizational commitment. The subjects are 508 female workers with disabilities who participated in the 1st wave of the Panel Survey of Employment for the Disabled in Years7-8 (2014-2015). A multiple regression analysis was conducted, and the mediation effect was verified according to the research procedures of Baron and Kenny(1986) using bootstrapping. The results showed that organizational justice and work environment stress faced by female workers with disabilities had a negative impact on organizational commitment, and communication and interpersonal relations had a partial mediation effect. Based on these results, this study suggested ways to reduce job stress and increase organizational commitment of female workers with disabilities. ■ keyword :∣Disabled Female Workers∣Job Stress∣Organizational Commitment∣ Communication and Interpersonal Relationship∣ 접수일자 : 2019년 05월 31일 수정일자 : 2019년 07월 04일 심사완료일 : 2019년 07월 04일 교신저자 : 김승완, e-mail : waniss@knuw.ac. kr 여성장애인 근로자의 직무스트레스가 조직몰입에 미치는 영향 연구: 의사소통 및 대인관계 매개효과 중심으로 441
Adults Use Distributional Statistics for Word Learning in a Conservative Way

—This study examined how much adults rely on cross- situational information for word learning by comparing their gaze behavior in a word learning task with (computational) models of alternative learning strategies. We manipulated the input type of situations (consecutive vs. interleaved) and the co-occurrence frequencies between words and objects in these situations so that adult learners could potentially infer correct word-object mappings based on cross-situational information. Adults’ gaze behavior was compared with models of a range of learning strategies from the literature. There are two key ﬁndings. First, an exposure-by-exposure analysis of looking behavior during the word learning procedure revealed that most participants collected sufﬁcient cross-situational information before they developed a preference for one particular word-object mapping, with consecutive as well as interleaved situations. Second, a classiﬁcation approach in which individual looking behavior was attributed to different word learning strategies showed that participants relied mostly on a Conservative cross-situational learning (XSL) strategy, compared to Associative XSL, Propose-but-Verify, and Random strategies. Adults relied on Conservative XSL when presented with consecutive and interleaved situations, but they shifted towards Associative XSL when presented with interleaved situations.
Association Between the Use of Angiotensin-Blocking Medications with Hip Fracture and Death in Older People

It is unclear if angiotensin blocking drugs (angiotensin converting enzyme inhibitors and angiotensin receptor blockers) reduce or increase the risk of falls and fractures. We retrospectively analysed routinely-collected, linked health and social care data for patients aged 65 and over from Tayside, Scotland, including hospital discharge diagnoses, biochemistry, deaths, care package provision and community prescribing. We conducted unadjusted and adjusted Cox regression analyses for time to hip fracture and time to death, for any exposure to angiotensin blocking drugs and for time-dependent exposure to angiotensin blocking drugs. We analysed data on 16782 patients. Angiotensin blocking drug use was associated with an exposure-dependent lower risk of hip fracture (hazard ratio 0.988 [95%CI 0.982-0.994] per year of exposure; p<0.001) and death (hazard ratio 0.986 [95%CI 0.983–0.989] per year of exposure; p<0.001). These findings call into question the appropriateness of stopping angiotensin blocking drugs for older people at risk of falls.
Automatic Generation Control of Two-Area STThermal Power System using Jaya Algorithm

This article present automatic generation control (AGC) of a two area thermal system incorporating solar thermal power plant (STPP) in one of the areas. The performance of the conventional two area system is compared with the proposed system. Similarly, the performances of integral (I), proportional plus integral (PI), and proportional plus integral plus derivative (PID) controller are evaluated in the system with STPP. For optimization of the proposed system, a new optimization technique, i.e. Jaya Algorithm is used for the optimization of secondary controller gains. Examinations uncover that Jaya optimized PID controller’s performance is better as compared to integral and proportional integral control. Better dynamic performances like settling time, overshoot, undershoot is achieved by Jaya algorithm for the proposed system. Further, robustness of the systems are studied by changing all the system parameter from -25% to 25%. Analysis reveals that Jaya algorithm based PID controller gains are quite robust and need not be reset for large variations in system parameters.