Miracle-dz/UniFAR-FTUs huggingface dataset:
An Exploration of Nurses’ Experience of Family Presence During Resuscitation in Intensive Care Setting

The family presence during resuscitation (FPDR) has received wide support to be implemented in the ICU.The implementation of FPDR has positive impacts on family satisfaction. However, some of the nurses’ opinion still not agree on implementation of FPDR in ICU. This research therefore utilized phenomenological approach to gain descriptive explanation regarding this phenomenon. The purpose of this study is to explore the nurse’s experiences in the implementation of FPDR in the ICU. This research was conducted on the year 2020 and qualitative phenomenological approach was utilized for this research. Ten (10) ICU nurses have participated in this study and in-depth interview was employed for data collection. Data analysis is conducted using Colaizzi. Result of this research areexplained in 6 themes which describe the phenomenon of nurses’ experience onfamily presence during recusitation, as follows: (1) Decisions on family; (2) From burdened to selfconfident; (3) Families enhancing teamwork; (4) The bereaved family disrupts the CPR process; (5) Feels of ignoring patiets’ family and (6) Expectingthe family be accompanied by staff nurse.From a nurse’s perspective, the implementation of FDPR has a positive impact on patients, families and on the ICU nurse team. However, this also has an unpleasant impact on ICU nurses, especially if the nurse is not ready for the practice. Therefore, policy support and training for nurses are needed in its implementation.
Trend Analysis of Air Quality Index (AQI) and Greenhouse Gas (GHG) Emissions in Taiwan and Their Regulatory Countermeasures

A reduction in the energy-related emissions of air pollutants would not only mitigate climate change but would also improve local air quality and public health. This paper aimed to analyze the trends of air quality index (AQI) and greenhouse gas (GHG) emissions in Taiwan by using the latest official statistics. In addition, this study also summarized regulatory measures for controlling air pollution from the energy sector with relevance to sustainable development goals (SDGs). With the joint efforts by the public and private sectors, the change in the total GHG emissions did not vary much with the exception of 2009, ranging from 250 to 272 million metric tons of CO2 equivalent from 2005 through 2019. Based on the data on AQI, the percentage of AQI by station-day with AQI > 100 has decreased from 18.1% in 2017 to 10.1% in 2020, indicating a decreasing trend for all criteria air pollutants. On the other hand, the coronavirus disease (COVID-19) lockdown, in 2019, has positively impacted Taiwan’s urban air quality, which was consistent with those observed in other countries. This consistent situation could be attributed to the climate change mitigation policies and promotional actions under the revised Air Pollution Control Act and the Greenhouse Gas Reduction and Management Act of 2015. In response to the SDGs launched by the Taiwan government in 2018, achieving the relevant targets by 2030 can be prospective.
Familial altruism and reputation risk: evidence from China

PurposeThe authors study the effects of altruism and intention for succession on family firm's reputation risk-taking behaviors in Chinese publicly listed companies.Design/methodology/approachThe authors use earnings management as a proxy for reputation risk in family firms, and hand-collected relationship between family members to measure the closeness of incumbent family members and their potential successors as a proxy for the altruistic degree.FindingsResults show that, in developing countries like China, familial altruism in family firms with succession plans, which does not reduce the practice of earnings management, should be considered by practitioners while detecting it.Originality/valueThe hand collected data are very unique; the authors have focused on the relationship between incumbents and successors and the authors define their closeness by using genes shared between them.
Climate Change Observations of Indigenous Communities in the Indian Himalaya

Mountains are important global sites for monitoring biological and socioecological responses to climate change, and the Himalaya has some of the world’s most rapid and visible signs of climate change. The increased frequency and severity of climate anomalies in the region are expected to significantly affect livelihoods of indigenous communities in the region. This study documents the perceptions of indigenous communities of climate change in the western Himalaya of India. The study highlights the power of knowledge and understanding available to indigenous people as they observe and respond to climate change impacts. We conducted a field-based study in 14 villages that represent diverse socioecological features along an altitudinal range of 1000–3800 m MSL in the western Himalaya. Among the sampled population, most of the respondents (>95%) agreed that climate is changing. However, people residing at low- and high-altitude villages differ significantly in their perception, with more people at high altitudes believing in an overall warming trend. Instrumental temperature and rainfall from nearby meteorological stations also supported the perception of local inhabitants. The climate change perceptions in the region were largely determined by sociodemographic variables such as age, gender, and income as well as altitude. A logistic regression, which exhibited significant association of sociodemographic characteristics with climate change perceptions, further supported these findings. The study concluded that the climate change observations of local communities can be usefully utilized to develop adaptation strategies and mitigation planning in the Himalayan region.
The effect of cover crops on the fungal and bacterial communities in the soil under carrot cultivation

The purpose of the study was to establish quantitative and qualitative composition of soil-borne microorganisms in the cultivation of carrot. The experiment considered rye, white mustard, buckwheat and sunflower as cover crops and three systems of cultivation. The population of bacteria and fungi having an antagonistic effect towards selected fungi pathogenic to carrot was determined. The greatest total population of bacteria as well as Bacillus spp. and Pseudomonas spp. was observed in the soil when rye was the cover crop. The greatest quantity of fungi was found in the control, a slightly smaller amount – after using sunflower, buckwheat and white mustard. The system of tillage had no effect on the communities of the investigated microorganisms. Rye and white mustard had the most positive effect on the quantity of antagonistic Bacillus spp. , Pseudomonas spp. , Clonostachys spp. , Myrothecium spp. , Penicillium spp. and Trichoderma spp. Regardless of the tillage system, the smallest quantity of antagonistic microorganisms occurred in the conventional cultivation of carrot.
Superposed Epoch Analysis of Galactic Cosmic Rays and Solar Wind based on ACE Observations During Two Recent Solar Minima

Based on galactic cosmic ray (GCR) and plasma observations from the ACE spacecraft, in this work, we analyze the relation between the GCR counts and the solar wind parameters during two recent two solar minima (for the years 2007.0–2009.0, and 2016.5–2018.5) by means of the superposed epoch analysis (SEA) method. The results indicate that GCRs are strongly modulated by the co-rotating interaction regions (CIRs) in the solar wind, and that the occurrences of stream interfaces (SIs) between fast and slow solar wind are correlated with a depression in GCR counts. The so-called “snow plow” effect of GCR variation prior to SI crossing appears during the first solar minimum, and the GCR counts decrease after the crossing, corresponding to a sudden drop in the diffusion coefficient at the SIs. The gradient of GCR counts shows that the transport efficiency of GCRs is low (high), relative to slow (fast) solar wind. However, during the second solar minimum, we see a completely opposite scenario; the “snow plow” effect is not observed, and GCR transport becomes faster in slow solar wind, and slower in fast solar wind. In addition, heliospheric current-sheet crossings also correlate with GCR counts. Particles drift along the current sheet, then accumulate in a pileup structure, where diffusion and drift effects may be balanced. It is found that the drift effect rivals the diffusion and convection on the GCR transport at 1 au during the two solar minima.
Emotional and Behavioural Engagement among Spanish Students in Vocational Education and Training

The purpose of this study is to analyse the importance of student engagement in Vocational Education and Training (VET) in Spain. In accordance with this concept, we analyse how emotional engagement (relations with teachers, relations with peers, family support for learning, and perception of family commitment) influences the behavioural engagement (school effort and commitment, school indiscipline) in academic activities of students in basic and intermediate VET. The sample comprises 1180 students (65.4% male), 28.8% in basic VET and 71.2% in intermediate VET, ranging in age from 14 to 19 years. Data analysis bases on linear regression and regression trees enable the prediction of behavioural engagement according to the subdimensions of emotional engagement, sociodemographic characteristics of the subpopulations, and level of studies. Significant differences were found (t(1013.8) = 8.37, p < 0.001) for the variable of sex (a higher value in females), and variable of the level of studies (t(579.1) = 3.60, p < 0.001) in behavioural engagement. All correlations between the indicators for the behavioural and emotional dimensions were significant. The results provide favourable profiles of behavioural engagement related to having good relationships with the teaching staff, being female, and being enrolled in intermediate VET. These findings imply the reorientation of educational intervention.
Modeling lateral interactions between motorized vehicles and non-motorized vehicles in mixed traffic using accelerated failure duration model

The objective of this study is to model the lateral interactions between motorized vehicles (MVs) and non-motorized vehicles (NMVs) in mixed traffic. Road user trajectories from two locations in China are extracted using computer vision techniques. The critical lateral distance (the shortest lateral distance to initiate avoidance maneuvers) is used as the lateral interaction indicator. Lateral interactions are modelled using the parametric accelerated failure time (AFT) duration model with a Weibull distribution, and the unobserved heterogeneity is considered using gamma frailty. The results show that interaction probabilities increase at higher MV speeds or NMV-MV speed differences and decrease with the NMV or MV yaw rates. The critical lateral distances when NMV ride in the MV lanes are shorter than those in the NMV lane. Moreover, bikes have higher interaction probabilities than e-bikes. These findings give insights into lateral interaction behaviours in mixed traffic and support better designs of such facilities.
Quantifying the Dimensionalities and Drivers of Ecosystem Stability at Global Scale

Ecosystem stability is the key to maintain the normal service function of the earth, but the dimensionalities and drivers of stability are highly controversial. A global study on the components of stability, including temporal stability, resistance, and resilience, was analyzed by gross productive production of 130 flux sites, species richness, and climate variables such as precipitation, air temperature, and shortwave radiation over a 24‐year period from 1991 to 2014. Our results provided global‐scale evidence that ecosystem stability must be analyzed as a multidimensional construct, and biome‐specific dimensionality should be considered in exploring ecosystem stability. The effective dimensionalities of ecosystem stability were significantly different among biomes, showing the least in savannas and the most in wetlands. In addition, the climate was predicted to be more important than biodiversity in regulating ecosystem stability on a global scale. The result showed that climates explained up to 70%, 49%, and 39% of the variation in temporal stability, resistance, and resilience of ecosystem function, respectively, while species richness only explained up to 5%, 20%, −11%. These findings give a comprehensive assessment for stability at the global scale and highlight the key role of climate in regulating ecosystem stability.
Spiritual Well-being in Patients With Generalized Anxiety Disorder and General Medical Conditions: Demographics in Context

The purpose of current study was to examine the predictive role of various socio demographic variables for spiritual well-being among participants with Generalized Anxiety Disorder (GAD) and those with minor General Medical Conditions (GMC). Using purposive sampling technique, 90 participants including 40 (22 men, 18 women) with GAD and 50 (23 men, 27 women) with GMC with the age range of 18-58 years completed a socio-demographic questionnaire along with Spiritual Wellness Inventory (Ingersoll, 1998). The findings of the regression analysis revealed that for GAD group, age appeared to be the only significant predictor for spiritual well-being. Analyses on the subscales revealed that Concept of Hereafter was positively predicted by religious inclination, Conscientiousness was positively predicted by age, Mystery was predicted by age and gender for group with GAD; while, for GMC group, gender predicted Practicing Rituals. Furthermore, the findings of t-test revealed that women with GMC utilized more religious rituals than men; however, no such difference was found in the GAD group. The results have important implications to address the spiritual issues concerning anxiety problems during the course of therapy.
An Experimental Investigation of the Convective Heat Transfer on a Small Helicopter Rotor with Anti-Icing and De-Icing Test Setups

Successful icing/de-icing simulations for rotorcraft require a good prediction of the convective heat transfer on the blade’s surface. Rotorcraft icing is an unwanted phenomenon that is known to cause flight cancelations, loss of rotor performance and severe vibrations that may have disastrous and deadly consequences. Following a series of experiments carried out at the Anti-icing Materials International Laboratory (AMIL), this paper provides heat transfer measurements on heated rotor blades, under both the anti-icing and de-icing modes in terms of the Nusselt Number (Nu). The objective is to develop correlations for the Nu in the presence of (1) an ice layer on the blades (NuIce) and (2) liquid water content (LWC) in the freestream with no ice (NuWet). For the sake of comparison, the NuWet and the NuIce are compared to heat transfer values in dry runs (NuDry). Measurements are reported on the nose of the blade-leading edge, for three rotor speeds (Ω) = 500, 900 and 1000 RPM; a pitch angle (θ) = 6°; and three different radial positions (r/R), r/R = 0.6, 0.75 and 0.95. The de-icing tests are performed twice, once for a glaze ice accretion and another time for rime ice. Results indicate that the NuDry and the NuWet directly increased with V∝, r/R or Ω, mainly due to an increase in the Reynolds number (Re). Measurements indicate that the NuWet to NuDry ratio was always larger than 1 as a direct result of the water spray addition. NuIce behavior was different and was largely affected by the ice thickness (tice) on the blade. However, the ice acted as insulation on the blade surface and the NuIce to NuDry ratio was always less than 1, thus minimizing the effect of convection. Four correlations are then proposed for the NuDry, the NuWet and the NuIce, with an average error between 3.61% and 12.41%. The NuDry correlation satisfies what is expected from heat transfer near the leading edge of an airfoil, where the NuDry correlates well with Re0.52.
Assessment of the Impacts of Climate and LULC Changes on the Water Yield in the Citarum River Basin, West Java Province, Indonesia

Changes in climate and land use land cover (LULC) are important factors that affect water yield (WY). This study explores which factors have more significant impact on changes in WY, spatially and temporally, within the Citarum River Basin Unit (RBU), West Java Province, Indonesia with an area of ±11.317 km2. The climate in the area of Citarum RBU belongs to the Am climate type, which is characterized by the presence of one or more dry months. The objectives of the study were: (1) To estimate a water yield model using integrated valuation of ecosystem services and tradeoffs (InVEST), and (2) to test the sensitivity of water yield (WY) to changes in climate variables (rainfall and evapotranspiration) and in LULC. The integration of remote sensing (RS), geographic information system (GIS), and the integrated valuation of ecosystem services and tradeoffs (InVEST) approach were used in this study. InVEST is a suite of models used to map and value the goods and services from nature that sustain and fulfill human life. The parameters used for determining the WY are LULC, precipitation, average annual potential evapotranspiration, soil depth, and plant available water content (PAWC). The results showed that the WY within the territory of Citarum RBU was 12.17 billion m3/year, with mean WY (MWY) of 935.26 mm/year. The results also show that the magnitude of MWY in Citarum RBU is lower than the results obtained in Lake Rawa Pening Catchment Areas, Semarang Regency and Salatiga City, Central Java (1.137 mm/year) and in the Patuha Mountain region, Bandung Regency, West Java (2.163 mm/year), which have the same climatic conditions. The WY volume decreased from 2006, to 2012, and 2018. Based on the results of the simulation, climatic parameters played a major role affecting WY compared to changes in LULC in the Citarum RBU. This model also shows that the effect of changes in rainfall (14.06–27.53%) is more dominant followed by the effect of evapotranspiration (10.97–23.86%) and LULC (10.29–12.96%). The InVEST model is very effective and robust for estimating WY in Citarum RBU, which was indicated by high coefficient of determination (R2) 0.9942 and the RSME value of 0.70.
SOURCES AND VARIABILITY OF NON-METHANE HYDROCARBONS IN THE EASTERN MEDITERRANEAN

The volume mixing ratios of non-methane hydrocarbons including saturated, unsaturated and aromatic ones (C2 to C8 as non methane hydrocarbons, NMHCS) were measured at three distinct sites (natural, rural, urban) in the lower troposphere of the Eastern Mediterranean from February 2006 to March 2007. Average concentrations for most of the NMHC show clear seasonal variations along the year mainly attributed to photochemistry. Significant correlations found among various hydrocarbons indicate contribution from mobile and stationary sources (exhaust and combustion). Leakages from natural gas (NG) or liquefied petroleum gas (LPG) probably from the continental platforms may account for important sources for the background concentration of ethane and propane in the area. Isoprene has been found to have mostly a biogenic source but its dual anthropogenic–biogenic origin was also evident at the rural site.
Annual Evaluation of a Model Predictive Controller in an Integrated Thermal-Electrical Renewable Energy System Using Clustering Technique

Whitebox model in a model predictive controller (MPC) for energy systems, though does help in developing an accurate system model, requires a long time for optimization. In this article, an adaptation of the clustering technique used in hardware-in-the-loop testbench is proposed for evaluation of the MPC on an annual scale with selected six representative days in a year for that particular system and location. Initially, the various input parameters for clustering (algorithm, distance metric, and datapoint input dimensions) are studied for the selected thermal-electrical integrated renewable energy system (with solar thermal collectors, auxiliary gas boiler, stratified thermal storage, micro fuel cell combined heat and power (FC-CHP), photovoltaic system, a lithium-ion battery) for a Sonnenhaus standard single-family residential building. Finally, the proposed methodology is used to compare the annual derived energy values and key performance indicators (KPIs) for an MPC implementation with a status quo controller as a reference. Also, extreme exemplary weather days are investigated as the selected representative days were only average days in each season. Despite the conflict of using the FC-CHP on cold sunny days, instead of utilizing the battery and increased gas boiler energy input, a 9% increase in decentral system fraction is reported. Via the use of MPC instead of status quo controllers, the results indicate −18% space heating (SH) demand; +30% solar thermal energy production; −29% gas boiler energy supply; −52% power-to-heat thermal energy supply; −52% electrical fuel cell production; +240 kWh battery utilization; and −52% reduced grid import at the expense of 1.2% of the electrical load demand as grid import.
Optical sensors for continuous glucose monitoring

For decades, diabetes mellitus has been of wide concern with its high global prevalence, resulting in increasing social and financial burdens for individuals, clinical systems and governments. Continuous glucose monitoring (CGM) has become a popular alternative to the portable finger-prick glucometers available in the market for the convenience of diabetic patients. Hence, it has attracted much interest in various glucose sensing technologies to develop novel glucose sensors with better performance and longer lifetime, especially non-invasive or minimally invasive glucose sensing. Effort has also been put into finding biocompatible materials for implantable applications to achieve effective in vivo CGM. Here, we review the state-of-the-art researches in the field of CGM. The currently commercially available CGM technologies have been analyzed and a summary is provided of the potential types of recently researched non-invasive glucose monitors. Furthermore, the challenges and advances towards implantable applications have also been introduced and discussed, especially the novel biocompatible hydrogel aimed at minimizing the adverse impact from foreign-body response. In addition, a large variety of promising glucose-sensing technologies under research have been reviewed, from traditional electrochemical-based glucose sensors to novel optical and other electrical glucose sensors. The recent development and achievement of the reviewed glucose sensing technologies are discussed, together with the market analysis in terms of the statistical data for the newly published patents in the related field. Thus, the promising direction for future work in this field could be concluded.