bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neonatal hyperkalemia associated with maternal ritodrine: A retrospective study
Authors: Suga Kenichi , Wakata Yoshifumi , Suzuki Manami , Takeuchi Shunsuke , Suzue Masashi , Nakagawa Ryuji , Urushihara Maki 
Published: August 2023

AbstractBackgroundWe recently reported on a late preterm infant born at 36 weeks’ gestation with serious arrhythmia due to hyperkalemia associated with long‐term maternal ritodrine administration. It is unknown whether ritodrine alone increases the risk of neonatal hyperkalemia in infants born at 34–36 weeks’ gestation.MethodsThis single‐center, retrospective, cohort study enrolled late preterm infants (34–36 gestational weeks) born between 2004 and 2018. Cases with maternal magnesium sulfate use were not sufficient for statistical analysis and so were excluded from the study. Risk factors for the occurrence of hyperkalemia were determined based on clinical relevance and previous reports.ResultsIn all, 212 late preterm infants with maternal ritodrine use and 400 infants without tocolysis were included in the study. Neonatal hyperkalemia occurred in 5.7% (12/212) in the ritodrine group and 1.8% (7/400) in the control group. The risk of neonatal hyperkalemia was significantly increased by maternal ritodrine administration with a crude odds ratio (OR) of 3.37 (95% confidence interval [CI]: 1.30–8.69; p < 0.01) and an adjusted OR of 3.71 (95% CI: 1.41–9.74; p < 0.01) on multivariable analysis. Long‐term tocolysis (≥28 days) with ritodrine increased the risk of neonatal hyperkalemia with 9.3% (11/118) of infants developing hyperkalemia (adjusted OR 4.86; 95% CI: 1.59–14.83; p < 0.01). Neonatal hyperkalemia was not found within 2 weeks of ritodrine administration.ConclusionThis research suggests that late preterm infants born after long‐term ritodrine administration are at risk of neonatal hyperkalemia and require special attention.
The many faces of entrepreneurial loneliness
Authors: Cardon Melissa S. , Arwine Rebecca P. 
Published: August 2023

AbstractLoneliness, involving a complex set of feelings that occurs when social needs are not adequately met, has been described as a worldwide modern epidemic. Despite its infiltration into all occupations, loneliness may be especially problematic for those in extreme occupations, such as entrepreneurs, who deal with acute levels of uncertainty, resource constraints, responsibility, and time pressure. Disparate prior findings suggest that entrepreneurs may be especially prone to loneliness, less prone to loneliness, or that they may have unique coping mechanisms that allow them to effectively manage loneliness. This conflicting evidence suggests that we have an incomplete understanding of loneliness within entrepreneurship, specifically, and extreme occupational contexts more generally. Integrating literature on loneliness, well‐being, and entrepreneurship, we conduct a qualitative, inductive study analyzing over 9000 Reddit posts drawn from online entrepreneurship communities where individuals seek and offer advice on how to address entrepreneurial loneliness. In applying appraisal theory to interpret our findings, we discover that whereas some entrepreneurs experience loneliness as threatening and harmful, others experience loneliness as positive or irrelevant, contrary to existing literature that points to loneliness as wholly negative. As such, we uncover several different processes through which entrepreneurs appraise and cope with their loneliness, as well as occupationally unique outcomes for entrepreneurs if loneliness is not coped with effectively. Our findings and emergent theoretical model of the loneliness process in this extreme occupation have important implications for research and practice regarding loneliness, well‐being, and the psychological and mental health of entrepreneurs.
Characteristics of peripheral lymphocyte subsets in patients with different stages of schistosomiasis japonica
Authors: Zhou Zhaoqin , Li Junhui , Jiang Jie , Luo Yulin , Yingzi Ming 
Published: August 2023

AbstractImmune cells are important for the development of schistosomiasis japonica and are also critical for the treatment of schistosomiasis. The immune cells in the peripheral blood help assess the immune state. The peripheral lymphocytes in schistosomiasis mansoni were well studied; however, immune cells in patients with different stages of schistosomiasis japonica are not well analysed. Here, we performed a preliminary study to explore characteristics of peripheral lymphocyte subsets in patients with different stages of schistosomiasis japonica. 135 patients with Schistosoma japonicum infection and 25 healthy volunteers were included in this study, including 84 patients with chronic S. japonicum infection and 51 patients with advanced S. japonicum infection. Flow cytometry analysis was performed to evaluate peripheral lymphocytes including T cells, B cells, and natural killer (NK) cells. Blood routine and liver function test data were analysed. Ultrasound examination was used to access liver fibrosis according to the World Health Organization standard about ultrasound in schistosomiasis. Demographic data analysis suggested there was no difference in age and gender in patients with S. japonicum infection and health control group. Liver function tests showed that patients with advanced schistosomiasis had a higher incidence of liver function abnormality and blood lipid than those with chronic schistosomiasis. Blood routine results reflected that haemoglobin, red blood cells, platelets, as well as lymphocytes in the advanced group were significantly less than that in the chronic group. Furthermore, flow cytometry analysis indicated that the percentage of CD4+ T cells was lower in the advanced group, but the percentage of CD19+ B cells was higher in the advanced group. In addition, the number of CD3+ T cells, CD3+ CD4+ T cells, CD3+ CD8+ T cells, and NK cells was less in the advanced group when compared with those in the chronic group. In addition, there was a correlation between the decrease in CD4+ T cells and more severe fibrosis on ultrasound images. Our results indicated that the immune state in the peripheral is different in different stages of S. japonicum infection. Lymphocyte subset analysis has potential to facilitate differential diagnosis of different stages of schistosomiasis japonica and even to be a prognostic factor.
Composition of galactolipids, betaine lipids and triglyceride‐associated fatty acids of the symbiotic dinoflagellate Zooxanthella (Brandtodinium) nutricula: A glimpse into polyunsaturated fatty acids available to its polycystine radiolarian host
Authors: Graeff Jori E. , Leblond Jeffrey D. 
Published: August 2023

SUMMARYZooxanthella nutricula is a photosynthetic dinoflagellate symbiont of polycystine radiolarians. As such, it is hypothesized to provide fixed organic carbon, including in the form of acylglycerolipids and sterols, to its non‐photosynthetic host. We have previously characterized the sterols of Z. nutricula that may be transferred to its host and, in the present study, have turned our attention to three classes of fatty acid‐containing lipids, chloroplast‐associated galactolipids, betaine lipids, which are non‐phosphorylated phospholipid analogs present in many eukaryotes, and triglycerides. Zooxanthella nutricula was observed using positive‐ion electrospray/mass spectrometry (ESI/MS) and ESI/MS/MS to produce the galactolipids mono‐ and digalactosyldiacylglycerol (MGDG and DGDG, respectively) enriched in octadecapentaenoic (18:5(n‐3)) and octadecatetraenoic (18:4(n‐3)) acid to place it within a group of peridinin‐containing dinoflagellates in a C18/C18 (sn‐1/sn‐2 fatty acid regiochemistry) cluster, as opposed to another cluster with C20/C18 MGDG and DGDG, where the C20 fatty acid is eicosapentaenoic acid (20:5(n‐3)) and the C18 fatty acid is either 18:5(n‐3) or 18:4(n‐3). Zooxanthella nutricula was also observed to produce 38:10 (total number of fatty acid carbons:total number of double bonds), 38:6, and 44:7 diacylglycerylcarboxyhydroxymethylcholine (DGCC) as the sole type of betaine lipid. Although it is more difficult to determine which fatty acids are present in the sn‐1 and sn‐2 positions on the glycerol backbone of DGCC using ESI/MS/MS, gas chromatography/mass spectrometry (GC/MS)‐based examination indicated the putatively DGCC‐associated polyunsaturated fatty acid (PUFA) docosahexaenoic acid (22:6(n‐3)). Coupled with the C18 PUFAs of MGDG and DGDG, and fatty acids associated with triglycerides (also examined via GC/MS), Z. nutricula could serve as a rich source of PUFAs for its radiolarian host. These data demonstrate that Z. nutricula produces a similar set of PUFA‐containing lipids as Symbiodinium microadriaticum, a photosynthetic dinoflagellate symbiont of cnidarians, indicating a metabolic commonality in these phylogenetically discrete dinoflagellate symbionts with unrelated host organisms.
Evacuate or social distance? Modeling the influence of threat perceptions on hurricane evacuation in a dual‐threat environment
Authors: Wu Hao‐Che , Murphy Haley , Greer Alex , Clay Lauren 
Published: August 2023

AbstractThis study investigates how different risk predictors influenced households’ evacuation decisions during a dual‐threat event (Hurricane Laura and COVID‐19 pandemic). The Protective Action Decision Model (PADM) literature indicates that perceived threat variables are the most influential variables that drive evacuation decisions. This study applies the PADM to investigate a dual‐threat disaster that has conflicting protective action recommendations. Given the novelty, scale, span, impact, and messaging around COVID‐19, it is crucial to see how hurricanes along the Gulf Coast—a hazard addressed seasonally by residents with mostly consistent protective action messaging—produce different reactions in residents in this pandemic context. Household survey data were collected during early 2021 using a disproportionate stratified sampling procedure to include households located in mandatory and voluntary evacuation areas across the coastal counties in Texas and parishes in Louisiana that were affected by Hurricane Laura. Structural equation modeling was used to identify the relationships between perceived threats and evacuation decisions. The findings suggest affective risk perceptions strongly affected cognitive risk perceptions (CRPs). Notably, hurricane and COVID‐19 CRPs are significant predictors of hurricane evacuation decisions in different ways. Hurricane CRPs encourage evacuation, but COVID‐19 CRPs hinder evacuation decisions.
An efficient automatic clustering algorithm for probability density functions and its applications in surface material classification
Authors: Nguyen‐Trang Thao , Vo‐Van Tai , Che‐Ngoc Ha 
Published: August 2023

AbstractClustering is a technique used to partition a dataset into groups of similar elements. In addition to traditional clustering methods, clustering for probability density functions (CDF) has been studied to capture data uncertainty. In CDF, automatic clustering is a clever technique that can determine the number of clusters automatically. However, current automatic clustering algorithms update the new probability density function (pdf) based on the weighted mean of all previous pdfs , resulting in slow convergence. This paper proposes an efficient automatic clustering algorithm for pdfs. In the proposed approach, the update of is based on the weighted mean of , where is the number of pdfs and . This technique allows for the incorporation of recently updated pdfs, leading to faster convergence. This paper also pioneers the applications of certain CDF algorithms in the field of surface image recognition. The numerical examples demonstrate that the proposed method can result in a rapid convergence at some early iterations. It also outperforms other state‐of‐the‐art automatic clustering methods in terms of the Adjusted Rand Index and the Normalized Mutual Information. Additionally, the proposed algorithm proves to be competitive when clustering material images contaminated by noise. These results highlight the applicability of the proposed method in the problem of surface image recognition.
Research hotspot and trend of chronic wounds: A bibliometric analysis from 2013 to 2022
Authors: Chen Xinghan , Shi Xiujun , Xiao Haitao , Xiao Dongqin , Xu Xuewen 
Published: August 2023

AbstractChronic wounds have been confirmed as a vital health problem facing people in the global population aging process. While significant progress has been achieved in the study of chronic wounds, the treatment effect should be further improved. The number of publications regarding chronic wounds has been rising rapidly. In this study, bibliometric analysis was conducted to explore the hotspots and trends in the research on chronic wounds. All relevant studies on chronic wounds between 2013 and 2022 were collected from the PubMed database of the Web of Science (WOS) and the National Center for Biotechnology Information (NCBI). The data were processed and visualised using a series of software. On that basis, more insights can be gained into hotspots and trends of this research field. Wound Repair and Regeneration has the highest academic achievement in the field of chronic wound research. The United States has been confirmed as the most productive country, and the University of California System ranks high among other institutions. Augustin, M. is the author of the most published study, and Frykberg, RG et al. published the most cited study. Furthermore, the hotspots of wound research over the last decade were identified (e.g., bandages, infection and biofilms, pathophysiology and therapy). This study will help researchers gain insights into chronic wound research's hotspots and trends accurately and quickly. Moreover, the exploration of bacterial biofilm and the pathophysiological mechanism of the chronic wound will lay a solid foundation and clear direction for treating chronic wounds.
Managerial power bases and its relationship to influence tactics and conflict management styles: Bedside nurses' perspective
Authors: Abou Hashish Ebtsam , Alnajjar Hend , Al Saddon Arwa 
Published: August 2023

AbstractBackgroundHaving robust power sources and employing effective influence tactics are essential leadership skills for nurse managers in managing human resources, providing quality care, and managing workplace conflict among nurses.AimsThe present study aimed to investigate how bedside nurses perceived their nurse managers' power bases, influence tactics, and conflict management styles. Furthermore, the study investigated the relationship among power bases, influence tactics, and conflict management styles.MethodsA descriptive correlational study was conducted at the inpatient care unit of a Saudi hospital. A convenient sample of n = 230 nurses completed the Power Base scale, Influence Behavior Questionnaire (IBQ‐R), and Rahim Organizational Conflict Inventory‐II (ROCI‐II).ResultsNurses believed their managers were most likely to use referent, legitimate, and expert sources to exercise their power; appreciation and consultation tactics to influence others; and an integrative style to manage conflict. Significant positive correlations were found between the perceived overall power bases and each of the influence behaviors and conflict management styles (r = .466, r = .383, p < .05, respectively). The values of the regression coefficient of power bases significantly contribute to the prediction of 67.8% and 42.2% of the explained variance of influence behaviors and conflict management styles, respectively. In addition, influence behaviors can play a mediating role in this prediction.Linking Evidence to ActionNurse managers should be able to demonstrate the benefit of controlling a wide range of power bases and know how to use influence behaviors and conflict management styles skillfully in each situation to achieve desired goals.
Dependence of p‐aminohippurate transport on calcium in canine renal cortical slices
Authors: Baker Jeffrey T. 
Published: August 2023

1. Experiments were conducted on renal cortical slices from sixty‐one adult mongrel dogs in order to evaluate the relationship between p‐aminohippurate (PAH) transport and calcium. Tissues were found to be viable for at least 180 min.2. PAH uptake and the slice/medium (S/M) concentration ratio increased in normal tissues from 3 to 90 min whether data were expressed on a tissue weight or protein content basis. PAH uptake increased with time in calcium‐depleted tissues, but all values were lower than normal. At 90 min, PAH S/M in calcium‐depleted tissues (4·20 ± 0·18) was reduced 40% compared to normal tissues (6·90 ± 0·23).3. Over the time period of 3‐90 min incubation, protein concentration ranged from 89·4 to 99·4 mg/g cortex in calcium‐depleted tissues. During the same time period in normal tissues, protein concentration ranged from 105 to 117·6 mg/g cortex. No change was observed in medium protein concentration of calcium‐depleted tissues.4. Lineweaver—Burke analysis showed similar values for Km in normal and calcium‐depleted tissues (0·45‐0·50 μmole ml.−1) although Vmax fell from control values of 0·082 to 0·052 μmole g−1 min−1 during calcium depletion.5. After 90 min incubation, addition of EGTA (7, 14 or 21 × 10−3
M) to media containing calcium was associated with decreased S/M and uptake rates compared to control values from the same animals. The decreases observed were similar to those seen in tissues incubated in calcium‐free media.6. Increased cell volume in the presence of calcium was not associated with decreased PAH uptake. Removal of calcium in association with constant cell volume was associated with reduced PAH uptake. Replacement of calcium, but not magnesium, is associated with a return of uptake to normal rates.7. It is concluded that (a) calcium removal causes increased water uptake into cells, (b) calcium removal causes a reduced Vmax, (c) calcium is required for maintenance of intracellular PAH, (d) the effect of calcium on PAH is specific and reversible, and (e) the effect of calcium is not mediated by volume changes.
Augmented Reality Interface for Robot-Sensor Coordinate Registration
Authors: Nguyen Vinh , Liu Xiaofeng , Marvel Jeremy 
Published: August 2023

Abstract
Accurate registration of Cartesian coordinate systems is necessary to facilitate metrology-based solutions for industrial robots in production environments. Conducting coordinate registration between industrial robots and their metrological systems requires measuring multiple points in the robot’s and sensor system’s coordinate frames. However, operators lack intuitive tools to interface, visualize, and characterize the quality of the selected points in the robot workspace for robot–sensor coordinate registration. This article proposes an augmented reality system for human-in-the-loop, robot–sensor coordinate registration to efficiently record and visualize the pose-dependent quality of computing the robot–sensor transformation. Furthermore, this work establishes metrics to define the relative quality of measurement points used in robot–sensor coordinate registration, which is shown by the augmented reality application. Experiments were conducted demonstrating the augmented reality environment in addition to investigating the pose dependency of the measurement point quality. The results indicate that the proposed metrics highlight the dependency of the poses on both robot and sensor placement and that the augmented reality system can provide a human-in-the-loop interface for robot–sensor coordinate registration.
Human Digital Twin, the Development and Impact on Design
Authors: Song Yu (Wolf) 
Published: August 2023

Abstract
In the past decade, human digital twins (HDTs) attracted attention in both digital twin (DT) applications and beyond. In this paper, we discuss the concept and the development of HDTs, focusing on their architecture, key enabling technologies, and (potential) applications. Based on the literature, we identify personal data, model, and interface as three key modules in the proposed HDT architecture, supported by a data lake of human data and a model and interface library. Regarding the key enabling technologies that support the HDT functions, we envision that the internet of things (IoT) infrastructure, data security, wearables, human modeling, explainable artificial intelligence (AI), minimum viable sensing, and data visualization are closely associated with the development of HDTs. Finally, we investigate current applications of HDTs, with a particular emphasis on the opportunities that arise from leveraging HDTs in the field of personalized product design.
Nonadiabatically Driven Subcritical Crack Nucleation in Solids
Authors: Khon Yu. A. 
Published: August 2023

Abstract
This paper discusses a subcritical crack nucleation mechanism in a brittle solid within a real range of applied stress. A medium deformed by uniaxial tension is considered as an open nonequilibrium system of nuclei and electrons. Structural relaxation of the medium begins with the excitation of dynamic displacements during nonadiabatic Landau–Zener transitions. Dynamic displacements induce the instability of the medium to the longitudinal displacement wave. The kinetics of structural relaxation is described by two nonlinear parabolic kinetic equations for dynamic order parameters. Conditions are derived for the existence of localized solutions (autosolitons). The excitation of autosolitons leads to local elongation and cross-sectional reduction of the specimen. The resulting neck is a subcritical crack.
Development and internal validation of a Neonatal Healthcare-associated infectiOn Prediction score (NeoHoP score) for very low birthweight infants in low-resource settings: a retrospective case–control study
Authors: Lloyd Lizel G , van Weissenbruch Mirjam Maria , Dramowski Angela , Gleeson Birgitta , Ferreyra Cecilia , Bekker Adrie 
Published: August 2023

Background and objectivesEarly diagnosis of neonatal infection is essential to prevent serious complications and to avoid unnecessary use of antibiotics. The prevalence of healthcare-associated infections (HAIs) among very low birthweight (VLBW; <1500 g) infants is 20%; and the mortality in low-resource settings can be as high as 70%. This study aimed to develop an Infection Prediction Score to diagnose bacterial HAIs.MethodsA retrospective cohort of VLBW infants investigated for HAI was randomised into two unmatched cohorts. The first cohort was used for development of the score, and the second cohort was used for the internal validation thereof. Potential predictors included risk factors, clinical features, interventions, and laboratory data. The model was developed based on logistic regression analysis.ResultsThe study population of 655 VLBW infants with 1116 episodes of clinically suspected HAIs was used to develop the model. The model had five significant variables: capillary refill time >3 s, lethargy, abdominal distention, presence of a central venous catheter in the previous 48 hours and a C reactive protein ≥10 mg/L. The area below the receiver operating characteristic curve was 0.868. A score of ≥2 had a sensitivity of 54.2% and a specificity of 96.4%.ConclusionA novel Infection Prediction Score for HAIs among VLBW infants may be an important tool for healthcare providers working in low-resource settings but external validation needs to be performed before widespread use can be recommended.