Miracle-dz/UniFAR-FTUs huggingface dataset:
Social customer relationship management: a customer perspective

ABSTRACT While the construct customer brand engagement is gaining magnitude in hospitality studies, this study establishes positive word of mouth and brand loyalty as relevant outcomes of customer brand engagement. It proposes and empirically tests a model which is underpinned by social customer relationship management theory. By means of survey questionnaires, data was obtained from 373 customers from hotels, in the island of Mauritius. The proposed model was tested using the AMOS version 22, structural equation modelling software. Results indicate that social customer relationship management activities can trigger service process innovation which in turn leads to customer engagement with the hotel brand. However, the relationship between use of social media platforms and positive word of mouth was not supported. The current study brings interesting theoretical contributions and it further serves as a benchmark to hotel managers for the effective implementation of a SCRM strategy.
Identification of future meteorological drought hotspots over Indian region: A study based on NEX‐GDDP data

The present study aims to answer the following two research questions using the future outputs from 19 GCMs of the novel NASA Earth Exchange Global Daily Downscaled Projections (NEX‐GDDP) under two Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. (a) What will be the possible variability of future meteorological drought properties during the 21st century? (b) What will be the possible influence of temperature in modulating the drought properties? In order to answer the above questions, five different drought properties namely frequency, severity, duration, peak, and areal spread are analysed for future (2022–2099) using two meteorological drought indices such as Standardized Precipitation Index (SPI) and Standardized Precipitation‐Evapotranspiration Index (SPEI) for short (3‐month scale) and long (12‐month scale) term drought conditions. The essential outcomes from the study indicate a warming and wetting climate over Maharashtra during the 21st century. With an increase in monthly precipitation, severity and duration of future meteorological droughts are likely to decrease in long‐term drought condition. Conversely, in the short‐term condition, the properties are expected to increase. The drought properties like peak and areal spread are expected to increase for both short and long‐term drought conditions in most of the regions. Temperature plays a vital role in modulating the meteorological droughts, and the present study notices the same in most of the cases in all the drought properties, especially in drought severity, duration, and peak. All the division are identified as hotspot regions during the mid and later part of the 21st century for short‐term drought condition. The number of hotspot regions decreases in long‐term drought condition as compared to short‐term drought condition.
Analysis of Internet Media Use of Student Biology Learning Interest During COVID-19

The purpose of this study is to find out the influence of internet media on students' learning interests in State Senior High School 2 South Rantau during Covid-19. Internet media has a very important role to foster students' learning interest during COVID-19. This research is qualitative descriptive research where the data source of this research is students. The tools used in collecting data are questionnaires and documentation. The sampling techniques used in this research are purposive. Samples from this study were students of grade XII Science-1 and XII Science-2, each class of 32 students. The results of the poll for learning interests showed that the utilization of internet media is in a high category of 52.3%. Interest in utilizing internet media to learn is in a very less supportive category of 32.5%. Students' desire to learn was in the less good category of 8.7%. Student involvement in learning is in a very supportive category of 6.5%. The results of this study show that there is a positive and negative impact of internet media on students' learning interests
Status of Eimeria infections of sheep and goat sold at small ruminant markets in Lagos State, Southwest, Nigeria

Coccidiosis, an intestinal disease caused by apicomplexan parasites of the genus Eimeria, continues to challenge profitable small ruminant production worldwide. This study was carried out to determine the occurrence of Eimeria and identify the species infecting sheep and goat sold at small ruminant markets in Lagos State. Fresh faeces were collected from 83 sheep and 51 goats. The faecal samples were grossly examined for their consistency and subjected to salt floatation to detect the presence of Eimeria oocysts. Morphometric measurements of oocysts were taken for species identification. The number of oocysts/ml of faeces were estimated using a haemocytometer. Results revealed that 67 (80.7%) sheep and 34 (66.7%) goats were positive for Eimeria. There was no difference in the prevalence of infection between male and female of both animals (P > 0.05). The difference in infection rates between the breeds of sheep were also insignificant (P > 0.05). Goats with diarrheic stool had higher faecal oocyst counts (20400 oocysts/ml) when compared to those with normal stool (5250 oocysts/ml). E. faurei (41%), E. ovinoidalis (36%) and E. intricata (31%) were the most common of the 11 species infecting sheep in this study. Of the 8 species recovered from goats, E. ninakhloyakimovae (51%) and E. alijevi (39%) were the most frequent. The high incidence of pathogenic Eimeria species detected in the study area poses serious economic risks to stakeholders in Lagos State and Nigeria at large. Small ruminant farmers and traders are advised to improve biosecurity and sanitary conditions where livestock are kept. Keywords: Eimeria parasites; coccidiosis; goats; sheep; small ruminant markets; Nigeria.
Dacomitinib as first-line treatment for EGFR mutation-positive non-small cell lung cancer

ABSTRACT Introduction: Dacomitinib is a second-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKI). Recent results from ARCHER 1050, the first randomized, open-label, Phase 3 trial of a second-generation vs. a first-generation EGFR TKI, showed that dacomitinib improves progression-free survival and overall survival compared with gefitinib as a first-line treatment in patients with EGFR mutation-positive advanced non-small cell lung cancer (NSCLC). Areas covered: We review the efficacy and safety of dacomitinib as a first-line treatment of EGFR mutation-positive NSCLC, including the management of toxicity, and evaluate the activity of dacomitinib against brain metastases. Additionally, the optimal treatment sequence given EGFR TKI choice, resistance mechanisms, activity against rare mutations, and real-world dosing is discussed. Expert opinion: The introduction of EGFR TKIs has changed the treatment strategy for patients with EGFR mutation-positive NSCLC. The second- and third-generation EGFR TKIs are the result of research elucidating mechanisms of resistance to first-generation EGFR TKIs. There is now more than one treatment option for patients with EGFR mutation-positive advanced NSCLC that improves survival, highlighting the need to more clearly understand the use of the right drug for the right person at the right time and how the appropriate treatment sequence may provide optimal outcomes for these patients.
Interrelationship of Forms of Sulphur with its Availability Indices and Soil Properties in Entisols of Assam

Forms of sulphur and their relationships with soil properties and sulphur availability indices were investigated in some Entisols under rice-mustard cropping sequence in four districts of Assam. The total-S content in the soils ranged from 217 to 672 mg kg−1 with mean value of 399 mg kg−1. The mean values of organic-S, non-SO4-S, adsorbed-S, sulphate-S, heat-soluble and water-soluble S were 306, 77, 2.60, 15.47, 31.2 and 12.56 mg kg−1, respectively. All the forms of S showed significant and positive correlation with organic carbon indicating S as the integral part of soil organic matter. Positive correlations of clay and silt fractions with forms of S indicate that appreciable quantity of sulphur was associated with finer fractions of the soils. Negative correlation was observed with soil pH, free and crystalline Fe oxides. Sulphur availability indices (SAI) was significantly and positively influenced by organic-C, clay and CEC whereas it was negatively affected by pH, sand, free and crystalline Fe oxides. The step-wise multiple regression analysis revealed that organic-C had maximum impact on different forms of S except heat soluble and water-soluble S. Organic-C was the dominant factor governing SAI followed by pH. About 26.4% of the Entisols investigated were deficient in the available sulphur.
‘Parties in the Shadows’ –Do Small and Marginal Parties Cater to a Niche?

Small and marginal parties are seldom the focus of studies in political science and are usually excluded from analyses altogether. However, an increase in the number of these ‘other’ parties can be observed during federal elections, though their chances of gaining seats are almost non-existent. Moreover, small and marginal parties can have an impact on the party system by diffusing topics and posing a potential electoral threat to established parties, with whom they face the challenging task of competing. One way of increasing their chances of getting votes is by gaining issue ownership over a niche topic. In this study, we use a quantitative content analysis and a dictionary approach to investigate 16 small and marginal German parties in order to determine whether they aim to cater to a niche or act as ‘failed’ mainstream (topic) parties. Our analysis reveals that small and marginal parties indeed have incentives to cater to a niche in order to gain electoral advantages, though the same strategy also contributes to their small and marginal existence.
Quantitative study in vivo of methionine cycle in humans using (methyl-/sup 2/H/sub 3/)- and (1-/sup 13/C)methionine

Kinetic aspects of body methionine (MET) metabolism were examined in healthy young men during the fed and postabsorptive (PA) states. Rates of MET incorporation (S) into and release (B) from body proteins; transmethylation (TM); and remethylation (RM) and transsulfuration (TS) of homocysteine (HCY) were estimated with the aid of a 5-h constant intravenous infusion of (methyl-2H3)- and (1-13C)methionine. The isotopic data (plasma methionine labeling and 13C enrichment of expired air) were submitted to a stochastic model of amino acid metabolism. During the fed state, the subjects (n = 4) received, at 20-min intervals, small isonitrogenous isocaloric meals containing a complete L-amino acid mixture supplying MET at a rate equivalent to 198 mumol.kg body wt-1.day-1. The PA subjects (n = 4) received the isotope after a 10-h overnight fast. For the PA group, the components of MET metabolism were as follows: S, 20 +/- 0.5; B, 24 +/- 0.5; TM, 5.8 +/- 0.6; RM, 1.8 +/- 0.4; and TS, 4.0 +/- 0.4 (+/-SE) mumol.kg-1.h-1. During the fed state the values were S, 26 +/- 2.5; B, 18 +/- 2; TM, 14 +/- 1.3; RM, 5.7 +/- 0.9; and TS 8.3 +/- 0.6 mumol.kg-1.h-1. The meal-induced changes in B, TM, RM, andmore » TS were significant (P less than 0.05). Comparison of the partitioning of MET between S and TM (these two pathways of MET disposal constitute the ''methionine locus'') in the PA and in the fed states indicates that the MET locus is of regulatory importance in MET homeostasis. A twofold increase in the partitioning of MET to TM was observed in the fed state. The increase in HCY recycling, relative to TS (these two pathways of HCY disposal constitute the ''HCY locus''), in the fed state did not reach statistical significance when compared with the PA state. Total daily TM are estimated to be 238 +/- 22 mumol/kg. This is similar to the estimate generated by the methyl balance model of Mudd and Poole which approximated 241 mumol/kg. « less
Mediating Role of Firm R&D in Creating Product and Process Innovation: Empirical Evidence from Norway

Government funding actively engages in private R&D investment to enhance firm innovation. At the same time, firms are forced to find additional sources of competitive advantage, e.g., through cooperation based on the triple- or quadruple-helix principles. This paper analyses whether government funding and cooperation based on the triple-helix and quadruple-helix principles spur firms’ product and process innovation rather directly or indirectly, taking into account the role of firms R&D. For this purpose, we collect data from the Community Innovation Survey and analyse 5045 Norwegian firms by using partial least squares structural equation modelling. Our results confirm hypotheses that public funding and both triple-helix and quadruple-helix cooperation significantly influence firms’ research and development activities. Surprisingly, on the one hand, we showed that neither public funding nor triple- and quadruple-helix cooperation affect firms’ product innovation directly. Moreover, the results show a negative influence of government funding and triple- and quadruple-helix cooperation on Norwegian firms’ product innovation. On the other hand, process innovation is influenced positively and directly by firms’ cooperation based on the triple- and quadruple-helix principles. The results of our analyses clearly show the key role of firm’s R&D, which has proven to be a mediator of the effects of public funding and triple- and quadruple-helix cooperation on the product and process innovation activities of Norwegian firms.
Performance of the Ionospheric Kappa‐Correction of Radio Occultation Profiles Under Diverse Ionization and Solar Activity Conditions

The kappa‐correction is an easy‐to‐use method to correct for residual ionospheric errors in radio occultation (RO) data. It is a simple empirical model term that only depends on readily available data. While its basic utility was well proven in previous studies, including a recent predecessor study on RO climatologies under solar cycle variations, its performance for individual RO profile correction under diverse and extreme ionization conditions is unclear so far. Here we tackle this gap and focus on investigating (extremely) low and high solar activity and ionization conditions of individual RO events, including inspection of ionospheric symmetry between inbound and outbound raypaths. Using a global multi‐year ensemble of MetOp‐A and GRACE‐A RO events over 2008–2015 as basis, we applied a sampling approach leading to six characteristic condition cases. These cases also relate to day and night time variations and geographic variations from the equatorial to the high latitude region. We inspected the kappa‐correction and its performance relative to the standard bending angle correction for RO‐retrieved stratospheric profiles and found mean deviations in temperature of near −0.3 K in the upper stratosphere (40–45 km) for high ionization conditions, with extreme deviations exceeding −2 K for strong inbound/outbound asymmetry. The kappa‐correction term itself reaches a mean value near 0.05 μrad under these high conditions. Low solar activity and ionization conditions lead to a mean correction smaller than 0.005 μrad and mean temperature deviations smaller than 0.02 K. An intercomparison to other quality datasets, predominantly showed a decrease in mean temperature difference when applying the kappa‐correction.
The impact of nurse manager caring behaviors and work environment on burnout syndrome among nurses

Nursing is a profession that entails a high risk of burnout, so effective organizational management is needed to reduce its occurrence. This study aims to investigate the moderating effects of Nurse Manager caring behaviors and work environment in burnout syndrome among nurses. This study design uses exploratory descriptions with a cross-sectional approach and considers a sample of 485 nurses in the medical surgical wards at three general hospitals in East Java Province, Indonesia. Data collection was performed using three separate questionnaires: The Maslach Burnout Inventory-Human Service Survey (MBI-HSS) to identify burnout syndrome among nurses, Caring Assessment Tool: Administration (CAT: Admn) to identify caring behaviors in nurse managers, and My Relationship with Work test (MRW) to identify work environments. The data was analyzed using Partial Least Square analysis. Nurse manager caring behaviors have a direct effect on personal accomplishment among nurses. The caring behaviors of nurse managers influence control, workload, community, fairness, reward and value. Caring behaviors from nurse managers also affect emotional exhaustion and depersonalization through the mediation of rewards, controls and workload.
A Repeating Earthquake Catalog From 2003 to 2020 for the Raukumara Peninsula, Northern Hikurangi Subduction Margin, New Zealand

Repeating earthquakes provide a novel way of monitoring how stresses load faults between large earthquakes. To date, however, and despite the availability of long‐duration, high‐quality seismological datasets, little attention has been paid to tectonic repeating earthquakes in New Zealand. We develop a workflow and composite criterion for identifying repeating earthquakes in New Zealand, using data from the GeoNet permanent seismic network, and present New Zealand’s first decadal‐scale repeating earthquake catalog. For events to be identified as repeating in this study, two or more events must have a normalized cross‐correlation of at least 0.95 at two or more seismic stations, when calculated for 75% of the earthquake coda. By applying our composite criterion to seismicity around the Raukumara Peninsula, northern Hikurangi subduction margin, we have identified 61 repeating earthquake families occurring between 2003 and 2020, consisting of 347 individual earthquakes. These families have a magnitude range of ML 1.7–5.2 and recurrence intervals of < 1 to ∼7 yrs. Repeating earthquakes in 9 of the 11 regional groups identified in this study coincide spatiotemporally with previously identified slow‐slip events and tremor. However, the responses shown to slow‐slip are not consistent within families or within regional groups.
Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest in eastern Canada

Abstract. Cold content (CC) is an internal energy state within a snowpack and is defined by the energy deficit required to attain isothermal snowmelt temperature (0 °C). For any snowpack, fulfilling the cold content deficit is a pre-requisite before the onset of the snowmelt. Cold content for a given snowpack thus plays a critical role because it affects both the timing and the rate of snowmelt. Estimating the cold content is a labour-intensive task as it requires extracting in-situ snow temperature and density. Hence, few studies have focused on characterizing this snowpack variable. This study describes the multilayer cold content of a snowpack and its variability across four sites with contrasting canopy structures within a coniferous boreal forest in southern Québec, Canada, throughout winter 2017–18. The analysis was divided into two steps. In the first step, the observed CC data from weekly snowpits for 60 % of the snow cover period were examined. During the second step, a reconstructed time series of CC was produced and analyzed to highlight the high-resolution temporal variability of CC for the full snow cover period. To accomplish this, the Canadian Land Surface Scheme (CLASS; featuring a single-layer snow model) was first implemented to obtain simulations of the average snow density at each of the four sites. Next, an empirical procedure was used to produce realistic density profiles, which, when combined with in situ continuous snow temperature measurements from an automatic profiling station, provides a time series of CC estimates at half-hour intervals for the entire winter. At the four sites, snow persisted on the ground for 218 days, with melt events occurring on 42 of those days. Based on snowpit observations, the largest mean CC (−2.62 MJ m−2) was observed at the site with the thickest snow cover. The maximum difference in mean CC between the four study sites was −0.47 MJ m−2, representing a site-to-site variability of 20 %. Before analyzing the reconstructed CC time series, a comparison with snowpit data confirmed that CLASS yielded reasonable estimates of the snow water equivalent (SWE) (R2 = 0.64 and percent bias (Pbias) = −17.1 %), bulk snow density (R2 = 0.71 and Pbias = 1.6 %), and bulk cold content (R2 = 0.90 and Pbias = −2.0 %). A snow density profile derived by utilizing an empirical formulation also provided reasonable estimates of cold content (R2 = 0.42 and Pbias = 5.17 %). Thanks to these encouraging results, the reconstructed and continuous CC series could be analyzed at the four sites, revealing the impact of rain-on-snow and cold air pooling episodes on the variation of CC. The continuous multilayer cold content time series also provided us with information about the effect of stand structure, local topography, and meteorological conditions on cold content variability. Additionally, a weak relationship between canopy structure and CC was identified.
Risk-Need-Responsivity Meets Mental Health: Implementation Challenges in Probation Case Planning

This study examined the feasibility of and fidelity to risk/needs assessment, mental health screening, and risk-need-responsivity (RNR)-based case planning within juvenile probation in two states. The researcher-guided implementation effort included the Massachusetts Youth Screening Instrument-2 (MAYSI-2), Structured Assessment of Violence Risk in Youth (SAVRY), and policies to prioritize criminogenic needs while using mental health services only when warranted. Data from 53 probation officers (POs) and 553 youths indicated three of five offices had high fidelity to administration and case planning policies. The interrater reliability (n = 85; intraclass correlation coefficient [ICC][A, 1] = .92 [Northern state] and .80 [Southern state]) and predictive validity (n = 455; Exp[B] = 1.83) of SAVRY risk ratings were significant. There was an overreliance on mental health services; 48% of youth received these referrals when only 20% screened as having mental health needs. Barriers to fidelity to RNR practices in some offices included assessments not being conducted before disposition, lack of service availability, and limited buy-in from a few stakeholders.
Adaptability and cohesion of families in times of the COVID-19 pandemic

Background & Aim: This Covid-19 pandemic represents a threat and a crisis for families' well-being According to the Olson Circumplex Model, this study aimed to assess the family functioning through the components of cohesion and adaptability of Portuguese families during this pandemic Methods & Materials: This is a descriptive, exploratory, and correlational study A nonprobabilistic and convenience sample consisted of 376 people Sociodemographic data, the family's characterization, the type of housing, the Vital Duvall cycle phase was collected from the participants, and FACES II was used to assess family cohesion and adaptability The reliability of this instrument is high The instruments for data collection were organized and sent through Google® forms, including the Informed Consent Form The data were analyzed by SPSS-26 software using non-parametric tests were used for inferential analysis Results: The results showed that 14,6% have a disengaged family cohesion;7,4% have a very rigid dimension in family adaptability, and about the type of family, 6,1% have an unbalanced dimension Conclusion: Although on average, the participants have a connected family cohesion and family flexible adaptability, many participants have extreme values, under which it will be necessary to intervene It is a priority for family nursing to understand the experience of families living in this current social, economic, and health context