Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of importance-performance analysis into testing of the relationship between hospital service performance, satisfaction and loyalty with PLS-SEM approach

Improvement of service performance, customer satisfaction, and loyalty give a significant contribution to business performance and profitability. This study aims first to identify the most critical factors related to hospital service performance in predicting the patient's satisfaction. Second, to examine the effect of patient satisfaction on patient loyalty. This research is a quantitative study with a cross-sectional approach, involving 280 outpatients conducted in two hospitals. Finally, the partial least square-structural equation modelling (PLS-SEM) approach was performed to analyze the data. The result showed the lowest index performance is the outcome quality (49.84), and the highest is the quality of personnel (72.49). The calculation of the patient satisfaction index (PSI) is 67.48. Patient satisfaction is significantly influenced by the quality of personnel, outcome quality, social responsibility, administrative procedure, and physical aspect. Patients satisfaction has a significant effect on patient loyalty. However, health insurance, quality of medical care, and quality of pharmaceutical care have no significant effect on patient satisfaction. The map of importance-performance analysis (IPA) suggest the hospital institution needs to improve the physical aspect, administrative procedure and outcome quality. The overall patient are satisfied with the performance of hospital services. Patients are objective controls of an organization. Therefore, the focus of hospital managers on strategies for building relationships with patients.
General allometric scaling of net primary production agrees with plant adaptive strategy theory and has tipping points

Allometric scaling of net primary production (NPP) with plant biomass (B) is important to ecological carbon dynamics and energetics. Metabolic theory predicts a nonlinear power law for NPP scaling, based on fractal vascular systems, resulting in a linear model when using log NPP/log B axes that are standard in allometry. Alternatively, two other hypotheses predict nonlinear models for log‐transformed data, with potential tipping points. Size‐based competition may cause a quadratic curve as larger plants limit NPP by smaller plants. More inclusively, the plant adaptive strategies hypothesis predicts a sigmoidal curve to represent those same competitive effects, plus stress and ruderal adaptations that maintain relatively low NPP in habitats that are abiotically limiting or disturbed. We evaluated all three hypotheses for terrestrial vascular plants, using information theoretic model selection based on the Akaike Information Criterion (AICc). Published data (N = 709) were organised in subsets according to reported organisational level and plant growth form. Alternative curves were compared for a general model (using all data) and per subset. Potential tipping points were estimated using segmented regression. The plant adaptive strategies hypothesis was supported in general (AICc weight = 1·00) and via internal consistency for five of six subsets (86% of data). Competition was supported as affecting NPP at greater B, where quadratic and sigmoidal models often coincided. Only non‐woody assemblages most plausibly fit a power law model, perhaps related to sparse data at lowest B. Synthesis. Adaptive strategies and corresponding environmental conditions appear to constrain terrestrial net primary production scaling relative to metabolic theory's ideal. Moreover, tipping points in general nonlinear net primary production scaling (at c. 38 and 360 g m−2 B) indicate thresholds for rapid changes in net primary production given changing B that occurs via changing climate, human appropriation and land use.
Explicating Choice of MTN® Advertising Frameworks in Nigerian Print Media

The meaning that a communicator intends to make determines the choice of the lexemes that the individual employs. Thus, this study explored the textual choices of MTN advertisements; as such entities were utilised to generate meaning potential. Seven advertisements of MTN functioned as the objects of analysis. The application of Halliday’s Theme-Rheme theoretical lens permitted the processing of the MTN advertisements into various semiotic slots. Such conceptual procedure informed the calibration of the textual components into different frequencies, using the table and graph to demonstrate clearer pictures of the outcomes. Observations showed the kinds of MTN advertising textual choices in two distinct sequences. The first was the thematic choices in the form of marked (As Nigerians, we can weave…), unmarked (Friends are the reason…) and conjunctive logical (so, and, that) constructs. The second aspect was the clause choices available in the texts. These clause choices emanated as declarative (Love is a feeling…), imperative (So reach out) with predicated themes (Share the priceless gift of love), and interrogative (Are you in love? ) elements. One could also acknowledge disjunctive grammar (A year of new challenges…) and minor clauses (Happy Valentine’s Day), operating in the communications. Contextually, the study might influence the MTN telecommunications operator to review the nature of textual choices of persuasion, having understood the structures available in the current analysis.
Weibo Rumor Recognition Based on Communication and Stacking Ensemble Learning

Research on the identification of rumors in cyberspace helps to discover social issues that are of concern to the public and are not easily found, and it also can help to purify cyberspace and to maintain social stability. However, the real complexity of rumors makes it difficult for its recognition technology to bridge the semantic gap between qualitative description and quantitative calculation of rumors. Firstly, the existing rumor definitions are mostly qualitative descriptions, so we propose a technical definition of Internet rumors to facilitate quantitative calculations. Secondly, since the feature set used in rumor recognition research is not effective, by combining with communication, we construct a more suitable feature set for rumor recognition. Thirdly, aiming at the problem that traditional classification algorithms are not suitable for complex rumor information recognition, a rumor recognition method based on Stacking ensemble learning is proposed. Our experiment results show that the proposed method has higher accuracy, less algorithm execution time, and better practical application effect.
Mass transfer in beef: effect of crossbreeding and ultrasound application

Cuts of muscle (biceps femoris) from three crossbreeds between the Nelore, Angus and Wagyu breeds of cattle (Crossbreed 1 (C1): 1⁄2 Angus and 1⁄2 Nelore; Crossbreed 2 (C2): 3⁄4 Angus and 1⁄4 Nelore; Crossbreed 3 (C3): 1⁄2 Wagyu, 1⁄4 Nelore and 1⁄4 Angus) were characterized by their chemical composition, pH, water activity and lipid oxidation. The cuts were submitted to wet brining in a 5 % NaCl concentration at 5 °C with either static brine (SB) or brine assisted with ultrasound (US). Samples of the treatments were taken after 30, 60, and 120 min of wet brining for later analysis. The experimental data were adjusted using the Peleg and Page models, and the Page template best described the experimental data. The crossbreeding did not affect the water and ash content; however, it significantly affected the levels of lipids and proteins. C3 presented higher fat content than C2, which, in turn, was higher than C1. C1 had higher protein content than C2, which had more protein than C3. When ultrasound was applied, crossbreeding influenced the water content and the water absorption rate during brining, which had the highest values for the highest protein content. The crossbreeding and ultrasound application also affected the NaCl content of the cuts. However, only ultrasound application increased the rate of NaCl absorption during wet brining. The results demonstrate that ultrasound accelerates the mass transfer in wet brining of the cuts of beef, regardless of the crossbreeds studied.
Non-Unit Protection for HVDC Grids: An Analytical Approach for Wavelet Transform-Based Schemes

Speed and selectivity of DC fault protection are critical for High-Voltage DC (HVDC) grids and present significant technical and economic challenges. Therefore, this paper proposes a non-unit protection solution that detects and discriminates DC faults based on frequency domain analysis of the transient period of DC faults. The representation of a generic HVDC grid section and the corresponding DC-side fault signatures in the frequency domain form the basis of a generalized approach for analytically designing a protection scheme based on Wavelet Transform (WT). The proposed solution is adaptive within its design stage and offers general applicability and immunity to system changes, while the protection settings are configured for optimized performance. The scheme is validated through offline simulations in PSCAD/EMTDC and the technical feasibility of the algorithm in the real world is demonstrated through the use of real-time digital simulation (using RTDS) and Hardware-in-the-Loop (HIL) testing. Both offline and real-time simulations demonstrate that the scheme is able to detect and discriminate between internal and external faults at a significantly high speed, while remaining sensitive to high impedance faults and robust to external disturbances and outside noise.
Understanding the information diffusion of tweets of a non-profit organization that targets female audiences: an examination of Women Who Code's tweets

PurposeThere is a growing interest in the way non-profit organizations can use Twitter strategically to communicate their message, but little attention has been paid to the way content categories and features may facilitate retweets of messages of a non-profit organization that targets women as its audience. Based on stakeholder theory, this study aims to fill this gap by analyzing Women Who Code (WWC)'s tweets to examine whether there are any differences in the number of retweets with respect to the content categories (information, community or action) and features (hashtags, emojis, photos, videos and URLs) in its Twitter communications.Design/methodology/approachWWC's original tweets that were posted during a one-year period from February 20, 2018 to February 20, 2019 were collected using a Twitter analytics tool. The content categories for each tweet were coded, and the number of hashtags and emojis used and the inclusion of photos, videos and URLs were noted. A negative binomial regression model was used to address the research questions.FindingsThe findings showed that with respect to the content categories, community and action-based tweets were retweeted less frequently than informational tweets. With respect to the content features, the results showed that using emojis or URLs in a tweet affected retweets positively, while including hashtags or a video affected them negatively. Further, using photos or images in a tweet had no significant effect on retweets.Originality/valueThese findings contribute to our understanding of non-profit organizations' use of Twitter and provide practical implications for the way non-profit organizations that target female audiences interested in technology can disseminate their messages more strategically.
Per‐6‐Thiol‐Cyclodextrin Engineered [FeFe]‐Hydrogenase Mimic/CdSe Quantum Dot Assembly for Photocatalytic Hydrogen Production

[FeFe]‐hydrogenase ([FeFe]‐H2ase) mimics, inspired by hydrogenases in nature, have emerged as an important class of molecular catalysts toward hydrogen (H2) evolution. Here, a per‐6‐thiol‐cyclodextrin (CDSH) engineered [FeFe]‐H2ase mimic/CdSe quantum dot assembly is established for effective photocatalytic H2 evolution. In the assembly, CDSH is firstly anchored on CdSe QDs via the strong multidentate Cd‐thiol coordination. Then, [FeFe]‐H2ase mimic is assembled on the QD surface via the host‐guest supramolecular interaction between the hydrophobic cavity of cyclodextrin (CD) and the adamantly (AD) group of [FeFe]‐H2ase mimic. In neutral aqueous solution of isopropanol, the Fe2S2‐AD/CDSH/CdSe assembly exhibits a turnover number (TON) of 1.12 × 105 (based on Fe2S2‐AD) under visible light, which is about 12‐fold to the corresponding system without CDSH. Mechanistic insights indicate that CDSH can not only prevent the aggregation of QDs in acidic conditions, but also balance the interfacial charge (electron and hole) transfer to avoid the photocorrosion of QDs, thereby giving the highest TON of H2 photogeneration based on [FeFe]‐H2ase mimics up to date. This article is protected by copyright. All rights reserved.
Genetic Diversity Among Some Currants (Ribes Spp.) Cultivars As Assessed BY AFLP MARKERS

Currants cultivation has increased its popularity in Turkey due to the use of more currants in Turkish cuisine. To provide farmers with well adapted currants cultivars, some currants cultivars have been planted in various geographical regions of Turkey. In this study, genetic diversity among some of these currants cultivars has been analyzed using AFLP markers. Our results indicated that red and black currants genotypes are genetically distinct, sharing very small proportion of AFLP markers. Selected currants genotypes from Turkey shared all AFLP markers suggesting that they might be the same genotype.
Short Note: Development and characterization of 16 new polymorphic microsatellite loci for Schima superba (Theaceae)

Abstract Schima superba is a common dominant tree species in evergreen broad-leaved forest in subtropical China. Despite its multiple usages in wood industry, reforestation and traditional Chinese medicine, its genetic diversity is poorly studied. To help studying its genetic diversity and structure in the future, after microsatellite enrichment and screening, we identified 16 microsatellites in S. superba. These markers showed polymorphism in three populations. The number of alleles per locus ranged from 3 to 32 with a mean of 14. Within populations, the observed and unbiased expected heterozygosities ranged from 0.048 to 0.926 and from 0.048 to 0.949, respectively. The newly developed 16 microsatellites will be useful for investigating the genetic diversity and structure from large scale patterns to fine-scale structures in this species.
Macroevolutionary dynamics of Atlantic island avifaunas support MacArthur & Wilson's equilibrium prediction

Half a century ago, MacArthur & Wilson proposed that the number of species on islands tends towards a dynamic equilibrium diversity around which species richness fluctuates. The current prevailing view in island biogeography accepts the fundamentals of MacArthur & Wilson's theory, but questions whether their prediction of equilibrium can be fulfilled over evolutionary time scales, given the unpredictable and ever-changing nature of island geological and biotic features. Here we conduct a complete molecular phylogenetic survey of the terrestrial bird species from four oceanic archipelagos that make up the diverse Macaronesian bioregion - Azores, Canary Islands, Cape Verde and Madeira. We estimate the times at which birds colonized and speciated in the four archipelagos, including many previously unsampled endemic and non-endemic taxa and their closest continental relatives. We develop and fit a new multi-archipelago dynamic stochastic model to these data, explicitly incorporating information from 91 taxa, both extant and extinct. Remarkably, we find that all four archipelagos have independently achieved and maintained a dynamic equilibrium over millions of years. Biogeographical rates are homogenous across archipelagos, except for the Canary Islands, which exhibit higher speciation and colonization. Our finding that the avian communities of the four Macaronesian archipelagos display an equilibrium diversity pattern indicates that a diversity plateau may be rapidly achieved on islands where rates of in situ radiation are low and extinction is high. This study reveals that equilibrium processes may be more prevalent than recently proposed, supporting MacArthur & Wilson's 50 year old theory
Reconstructing the level of the central Red Sea evaporites at the end of the Miocene

Reconstructing the original depositional level of the Mesozoic and older c‘salt giants’ can reveal if their basins became filled to global sea level, but is complicated by dissolution, diapirism and because the time elapsed is so great. This is less of a problem in the Red Sea, a young rift basin that is transitioning to an ocean basin and where the evaporites away from coastal fringes are less affected by diapirism. In this study, we explore vertical movements of the evaporite surface of the central Red Sea imaged with deep seismic profiling, for the period of time after most evaporite deposition ended at 5.3 Ma (the Miocene‐Pliocene boundary). This boundary is readily mapped across the basin as a prominent reflection in seismic data correlated with stratigraphy at three DSDP sites. We quantify changes in the average elevation of the evaporite surface due to (a) thermal lithospheric subsidence, (b) isostatic loading by Plio‐Pleistocene sediments and water, (c) deflation needed to balance the volume of evaporites overflowing oceanic crust of 5.3 Ma age, (d) loss of halite by dissolution and (e) dynamic topography. Our best estimate of the evaporite level (−132 m air‐loaded or −192 m water‐loaded) lies below the range of estimated global sea level towards the end of the Miocene, suggesting that the basin remained under‐filled. If geological interpretations of shallow water conditions existing at the end of the Miocene (Zeit Formation) are correct, this implies that the water level of the Red Sea declined and was unstable. These calculations illustrate how spreading of evaporites can enhance thermal subsidence to cause rapid development of accommodation space above major evaporite bodies, which in the Red Sea case has remained largely unfilled.
ILLUMINATE THE PATHWAY OF MEMBRANE PROTEIN ASSOCIATION AND DEGRADATION

OF DISSERTATION ILLUMINATE THE PATHWAY OF MEMBRANE PROTEIN ASSOCIATION AND DEGRADATION Escherichia coli transporter protein AcrB and its homologues are the inner membrane components of the Resistance-Nodulation-Division (RND) family efflux pumps in Gram-negative bacteria. It is well accepted that soluble proteins are only marginally stable, but such insight is missing for membrane proteins. The lack of stability data, including thermodynamic stability and oligomer association affinity is a result of intrinsic difficulties in working with membrane proteins. In addition, the degradation of soluble proteins in E. coli has been extensively studied whereas the degradation process of membrane proteins remains unclear. A focus of my thesis is the validation and development of methods used to measure the thermoand oligomericstability of membrane proteins. I investigated the mechanism of a popular thermal-stability assay developed specifically for the study of membrane proteins uses a thiol-specific probe, 7diethylamino-3-(4-maleimidophenyl)-4-methylcoumarin (CPM). I found that, contrary to current understanding, the presence of a sulfhydryl group was not a prerequisite for the CPM thermal stability assay. The observed fluorescence increase is likely caused by binding of the fluorophore to hydrophobic patches exposed upon protein unfolding. I then applied these methods in the study of three projects. In the first project, I investigated how suppressor mutations restore the function of AcrBP223G, in which the Pro223 to Gly mutation compromised the function of AcrB via disrupting AcrB trimerization. The results suggested that the function loss resulted from compromised AcrB trimerization could be restored through various mechanisms involving the compensation of trimer stability and substrate binding. In the second project, I created two AcrB fusion proteins, with Cterminal yellow fluorescence protein (YFP) and cyan fluorescence protein (CFP), respectively. YFP and CFP form a fluorescence resonance energy transfer (FRET) pair. Using this pair of fusion proteins, I studied AcrB assembly both in detergent micelles and in lipid bilayers. A positive cooperativity was observed in kinetic studies of association of AcrB trimer. Reconstitution experiment revealed that the association showed a higher FRET efficiency and faster association rate in liposome than in DDM. In the last project, I developed a fluorescence method to study the degradation of AcrB-ssrA by the ClpXP system. Comparing to the degradation of GFP-ssrA, degradation of AcrB-CFP-ssrA showed a lower maximum velocity and tighter binding to the enzymes with a positive cooperativity.
Restoring Brazilian savanna ground layer vegetation by topsoil and hay transfer

Tropical grassy biomes have been widely neglected for conservation and, after unplanned land use conversion, ecological restoration becomes urgent. The majority of interventions have been based on the misapplication of forest restoration techniques, because there are no validated techniques to restore the species‐rich ground layer. In search for innovative techniques to restore the herbaceous layer of the cerrado vegetation, we carried out an experiment based upon topsoil and hay transfer, in the state of São Paulo, Brazil. The restoration treatments were: (1) transfer of topsoil collected at the end of the dry season; (2) topsoil collected at the end of the rainy season; (3) transfer of hay collected at the end of the dry season; (4) topsoil + hay collected at the end of the dry season; and (5) control. We used an old‐growth grassland as source of material and as reference ecosystem to assess the efficacy of the restoration techniques applied to an area severely degraded after invasion by African grasses. After 211 days, hay transfer apparently inhibited germination and did not contribute to grassland vegetation recovery. Topsoil transfer, however, was effective at reintroducing herbaceous plants, including target species. The season of topsoil collection mattered: material collected at the end of the rainy season provided better results in terms of density and richness of the restored community than that from the dry season. The remaining challenge is to find sources of topsoil not invaded by exotic grasses in large enough amounts to support restoration initiatives without jeopardizing the source ecosystems.
Model Forecast Error Correction Based on the Local Dynamical Analog Method: An Example Application to the ENSO Forecast by an Intermediate Coupled Model

Numerical forecasts always have associated errors. Analog correction methods combine numerical simulations with statistical analyses to reduce model forecast errors. However, identifying appropriate analogs remains a challenging task. Here, we use the Local Dynamical Analog (LDA) method to locate analogs and correct model forecast errors. As an example, an El Niño–Southern Oscillation (ENSO) intermediate coupled model forecast error correction experiment confirms that the LDA method locates high quality analogs of states of interest and improves the model forecast performance, which is due to the initial and evolution information included in the LDA method. In addition, the LDA method can be applied using a scalar time series, which reduces the complexity of the dynamical system. The LDA method is a promising method to locate dynamic analogs and can be applied to existing numerical models and forecast results.