bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Communication, Motivation and Job Satisfaction on Employee Performance: Empirical Study of Hotel Harper Prints By Aston, Makassar
Authors: I Gede Arya Pering Arimbawa  , Ardhi Goeliling  , Tyta Ripal  , Arya Bayu Peringga Putra  , Abd Rahim Amin
Published: June 2024

The functioning of the parts in the organization depends on the human ability in the organization, especially in communication, motivation, and job satisfaction for the direction of achieving employee performance goals. This study aims to test and prove empirically whether communication, motivation and job satisfaction have a positive and significant impact on employee performance. This research is quantitative, popular, ion and sam in research areas e all employees of Hotel Harper Perintis By Aston, Makassar with the current population reachesreachingple. The sampling technique in this case uses a saturated sampling technique. This study was analyzed with SPSS 24 software. The results showed that (1) Communication had a positive and significant influence on the performance of Harper Perintis employees by Aston - Makassar; (2) Motivation positively and significantly influence to employee performance of Harper Perintis by Aston Makassar and (3) Job satisfaction positively and significantly influence to the performance of Harper Perintis employee by Aston - Makassar.
Analysis of the Influence of Physical Environment, Service Quality, and Satisfaction on Revisit Intention at Resort in Batam City
Authors: Dewirahayu Sad Wijaya  , Ratih Anggraini
Published: June 2024

The COVID-19 pandemic has negatively affected the tourism and hospitality industry in Indonesia. Many businesses have closed to help keep the virus under control, such as shopping centers and tourist attractions. Staycation can be a profitable business for tourism opportunities during the COVID-19 pandemic. Staycation has increased the popularity of hotels and resorts in Batam City. The study aims to help develop the world of tourism, especially in resort lodging in Batam City by exploring the influence of the physical environment, service quality, and satisfaction on revisit intentions at resorts in Batam City. The study used a quantitative approach by examining various variables and analyzed through a sampling process. The research respondents are local and domestic tourists who have previously had a staycation in Batam City. There were 1,883,244 tourists visiting Batam City in 2018 according to BPS data. The sample size in the population was calculated using the Sloven formula to obtain a sample of 440 respondents using Google Form Questionnaire disseminated through social media. IBM SPSS 25.0 software was used to analyze the collected data and test the hypothesis. The results showed that there is a significant positive influence between the physical environment, service quality, and satisfaction on revisit intention. Resort business owners need to understand the concept of staycation and the importance of improving products, services, and satisfaction to customers in order to create customer revisit intentions.
From Costume Romps to Queer Milestones: Adaptation, Collaboration, Queerness and Modernism in the ‘Long New Wave’ of Richardson, Schlesinger and Reisz
Authors: Monk Claire
Published: June 2024

The post-New Wave films and trajectories of the key British New Wave directors remain under-analysed terrain, both in terms of their potential relevance for interrogating how we understand the British New Wave itself and for the terms in which we might conceptualise a ‘Long’ New Wave. This article departs from persisting auteurist approaches to consider the post-New Wave oeuvres and careers of these directors collectively, in terms which foreground the importance of collaborations and networks rather than individual authorship and seek to decentre, denaturalise and potentially dislodge their pre-eminent association with specifically Northern, British, social realism and its presumed legacies. I argue for the importance of a cluster of less-analysed areas of intersection and development which emerge across the eclectic film-making careers of Tony Richardson and John Schlesinger (and, to a lesser extent, Karel Reisz) in the immediate post-New Wave decade from the 1963 success of Richardson's Tom Jones to the early 1970s. My discussion pivots on two commonalities: during this time, all three directors contributed significantly and plurally to innovations and advances in genre and representation across two areas distinct from British Northern working-class realism: historical/costume film genres, and queer representation. An approach which centres the (broadly defined) queer elements in these directors’ post-New Wave oeuvres – intersecting at times with their equally undervalued contribution to ‘pre-heritage’ period cinema – reveals the ‘Long’ New Wave as substantially a cinema of adaptation, collaboration and queerness which encompassed important, near-forgotten, international projects as well as modernist influences and, in Schlesinger's Sunday Bloody Sunday, a significant advance in realist queer representation.
Register in The Good Doctor Movie
Authors: Hasan Muhammad Fadli , Putra Ansor , Rasiah Rasiah
Published: June 2024

This study aims to describe the types and functions of register used in The Good Doctor (season 5 episode 18). This research is qualitative and descriptive with The Good Doctor movie as the data source. The data were collected by watching, annotating, and coding. Analysis by presenting, describing, analyzing, and concluding the data. This research found there are 60 utterances of type of registers used in the movie such as Frozen, Formal, Consultative, Casual, and Intimate. Then, the researcher also found that there are sixty-six data on the function of the register including Emotive (13), Directive (21), Referential (26), Peotic (1), and Phatic (5). In this movie, the researcher found all types of registers used by characters. For the function of the register, the researcher only found five of six functions in the movie. The most used type of register is the casual register with twenty-eight data and referential is most used by characters in the movie with twenty-six data. The use of a casual register can reflect a more relaxed speaking style, not overly formal, and closer to everyday conversation. The metalinguistic function was not found because there are no situations where characters have a conversation that refers to the metalinguistic function in the movie.
Recent advances in stability analysis and design of 3D slopes
Authors: Zhang Fei , Jia Shilin , Gao Yufeng
Published: June 2024

Slope failures in nature and engineering are typically three-dimensional (3D). The rotational failure mechanism derived from the variational limit equilibrium (LE) method shows superior performance in the stability analysis of the 3D slope. In contrast to the traditional LE methods, it avoids arbitrary kinematical and statical assumptions. Stability charts obtained by the variational LE method are used to derive explicit expression equations of the safety factor, also known as the stability equations, for both 3D reinforced and unreinforced slopes. These equations are highly accurate and can provide a convenient means to assess slope stability in practical engineering. An example of a convex reinforced slope with a turning arc is illustrated in this study to investigate the effect of the 3D effects on the required reinforcement length for design. The results indicate that the 2D method underestimates the required reinforcement length when dealing with a 3D reinforced slope problem. Furthermore, a forensic analysis of the Yeager Airport reinforced slope is conducted within the framework of the variational LE method. The required strength for stability is found to be significantly less than the allowable strength of reinforcements without considering the decrease in soil shear strength. However, the required strength greatly exceeds the allowable strength when the decrease in soil shear strength is considered. The results verify that the decrease in shear strength of the weak layer is responsible for the collapse.
Key drivers of vulnerability to rainfall flooding in New Orleans
Authors: Kane Patrick Bodilly , Tebyanian Nastaran , Gilles Daniel , McMann Brett , Fischbach Jordan R.
Published: June 2024

Introduction

Future urban stormwater flood risk is determined by the confluence of both climate-driven changes in precipitation patterns and the effectiveness of flood mitigation systems, such as urban drainage and pump systems. This is especially true in coastal cities protected by levee systems like New Orleans, where even present-day rainfall would be enough to cause serious flooding in the absence of extensive stormwater drainage and pumping. However, while the uncertainties associated with climate change have been well studied, uncertainties in infrastructure performance and operation have received less attention.

Methods

We investigated how these interrelated sets of uncertainties drive flood risk in New Orleans using a Robust Decision Making (RDM) approach. RDM is a framework for Decision Making Under Deep Uncertainty (DMDU) that leverages simulation models to facilitate exploration across many possible futures and the identification of decision-relevant scenarios. For our work, we leveraged a detailed Storm Water Management Model (SWMM) representation of the New Orleans urban stormwater management system to examine flood depths across the city when faced with different levels of future precipitation, sea-level rise, drainage pipe obstruction, and pumping system failure. We also estimated direct flood damage for each neighborhood in the city for this scenario ensemble. These damage estimates were then subjected to vulnerability analysis using scenario discovery—a technique designed to determine which combinations of uncertainties are most stressful to the system in terms of an outcome of interest (excess flood damage).

Results

Our results suggest that key drivers of vulnerability depend on geographic scale. Specifically, we find that possible climate-driven precipitation increases are the most important determinant of vulnerability at the citywide level. However, for some individual neighborhoods, infrastructure operation challenges under present day conditions are a more significant driver of vulnerability than possible climate-driven precipitation increases.
Stress evolution of fault-and-thrust belts in 2D numerical mechanical models
Authors: Lee Fang-Yi , Tan Eh , Chang Emmy T.
Published: June 2024

We employed numerical models to examine the dynamics of fold-and-thrust belts (FTBs), particularly focusing on the spatial and temporal interplay between stress variations and fault development. Our study explores the effects of variables such as layer thickness, basal friction, and surface diffusivity on the FTBs’ structural development, emphasizing the conditions under which frontal thrusts form. We found that fault activities within FTBs exhibit a cyclic behavior characterized by phases of initiation, quiescence, and reactivation. For over 95% of the total cycle duration, the frontal thrusts are the only active structures, and the stress within the FTB predominantly remains in a critical state. During the remaining 5%, the stress becomes over-critical, leading to the formation of a proto-thrust zone and the reactivation of pre-existing thrusts within the FTB. The lateral growth rate of FTBs is directly related to the thickness of the deforming layer, with the progression of the deformation front maintaining a steady pace across the study period. Additionally, our analysis on the progression of FTBs highlights the critical role of zonal failure spacing in determining the structural styles within FTBs. Our results indicate that narrowly spaced zonal failures, which promote the emergence of low-angle forethrusts, are more likely to occur at increased distances from the backstop. This explains the sequential frontal failure in the FTB; however, the stress accumulating at the rear weak zones also play an important role in the evolutionary patterns of the FTB. Our study offers new insights into the complex processes governing the mountain formation.
Exploring the role of spatial ability in the mental representation of word problems in mathematics
Authors: Duffy Gavin , Sorby Sheryl , Bowe Brian
Published: June 2024

Problem solving is important to many activities, both in a learning context and in everyday tasks. We can be challenged to solve what later turn out to be very simple problems. By understanding more about these challenges and what occurs at a cognitive level during the problem-solving process, we can better support the development of problem-solving skills. Spatial ability has been shown to be related to the ability to develop accurate and schematic mental representations of problems during the problem-solving process. The purpose of this study was to examine the role of spatial ability in solving word problems in mathematics among a cognitively diverse sample of engineering students. A set of five word problems, a test of mental rotation and set of five questions testing the core mathematical competencies needed to solve the word problems were administered to 115 first year engineering students. Using a knowledge framework for problem solving, key aspects of representation were extracted from solutions to the word problems and combined to create a mental representation scale. A large and significant correlation was measured between mental rotation and problem representation, larger than the correlation between spatial ability and problem-solving. Mental representation was found to mediate the relation between spatial ability and word problem-solving. This relation was not found to be significantly moderated by core competency in mathematics. For high levels of core competency only, there was an interaction between spatial ability and core competency.
Apolipoprotein A-I levels in the survival of patients with colorectal cancer: a retrospective study
Authors: Xie Hailun , Wei Lishuang , Wang Qiwen , Tang Shuangyi , Gan Jialiang
Published: June 2024

Background

Abnormal lipid levels have been associated with cancer incidence and progression. However, limited studies have investigated the relationship between apolipoprotein A-I (ApoA-I) and colorectal cancer (CRC). This study assessed the significance of ApoA-I levels in progression-free survival (PFS) and overall survival (OS) of patients with CRC.

Methods

Survival curves were compared using Kaplan–Meier analysis, while the predictive values of various lipid indicators in CRC prognosis were evaluated based on receiver operating characteristic curves. The factors influencing PFS and OS in patients with CRC were analyzed using Cox proportional hazards regression models. Finally, the relationship between ApoA-I level and disease recurrence was investigated through logistic regression analysis. The optimal Apo-I level was determined through maximally selected rank statistics.

Results

Using the optimal ApoA-I cutoff value (0.9 g/L), the 1,270 patients with CRC were categorized into low (< 0.9 g/L, 275 cases) and high (≥0.9 g/L, 995 cases) ApoA-I groups. Compared with other lipid indicators, ApoA-I demonstrated superior predictive accuracy. The high ApoA-I group exhibited significantly higher survival rates than the low ApoA-I group (PFS, 64.8% vs. 45.2%, P < 0.001; OS, 66.1% vs. 48.6%, P < 0.001). Each one-standard-deviation increase in ApoA-I level was related to a 12.0% decrease in PFS risk (hazard ratio [HR] 0.880; 95% confidence interval [CI], 0.801–0.968; P = 0.009) and an 11.2% decrease in OS risk (HR 0.888; 95%CI, 0.806–0.978; P = 0.015). Logistic regression analysis revealed that patients with low ApoA-I had a 32.5% increased risk of disease recurrence (odds ratio [OR] 0.675; 95%CI, 0.481–0.946; P = 0.0225) compared with those with high ApoA-I. PFS/OS nomograms based on ApoA-I demonstrated excellent prognostic prediction accuracy.

Conclusions

Serum ApoA-I level may be a valuable and non-invasive tool for predicting PFS and OS in patients with CRC.
The impact of energy-saving R&D on urban carbon emission performance: evidence from 218 prefecture-level cities in China
Authors: Abudureheman Maliyamu , Yiming Abulaiti
Published: June 2024

Different from the previous studies that mainly focus on the environmental and economic benefits of the total R&D, we specifically focus on the R&D activities in the energy field, namely, energy-saving R&D in this study, and explored the spatial impacts of energy-saving R&D on urban carbon emission performance and its internal transmission mechanisms for the first time. The heterogeneity analysis from the perspectives of different-types of R&D and different urban groups were also conducted. Results indicate that: Energy-saving R&D has obvious promoting effect on the improvement of urban carbon emission performance, among which the utility-type energy-saving R&D plays a more important role than the invention-type R&D. Energy-saving R&D promotes urban carbon performance mainly through the transmission mechanism of technical effects, while structural effect and urbanization effect negatively affects carbon emission performance due to the existence of energy rebound. Furthermore, there exists significant spatial spillover effects of energy-saving R&D on urban carbon emission performance, and economic factors play a more important role in this spatial effect. In addition, the impact of energy-saving R&D on carbon emission performance has obvious urban group heterogeneity. Finally, we proposed several policy suggestions based on the main conclusions of this study.
Natural regeneration of cork oak forests under climate change: a case study in Portugal
Authors: Ribeiro Stéphanie , Cerveira Adelaide , Soares Paula , Ribeiro Nuno Almeida , Camilo-Alves Constança , Fonseca Teresa Fidalgo
Published: June 2024

The sustainability of forest species is directly related to the success of stand regeneration. Assuring success is particularly critical in stands where perpetuity relies on natural regeneration, as is often the case with cork oak forests. However, 59% of the stand in Portugal have no natural regeneration, and climate change could further worsen the sustainability of the system. The study summarizes the factors that affect the natural regeneration of cork oak (Quercus suber L.) based on current knowledge and presents a case study on a forest in Northeast Portugal, where the natural regeneration of Quercus suber under the effect of climate change have been monitored and analyzed. The present work focuses on the effect of stand density, i.e., tree cover, on the production of acorns, the establishment and survival of seedlings, and the impact of the summer season on seedling mortality. The monitoring was carried out in February, June, September 2022, and January 2023 in two stands with distinct stand canopy cover, when the region was under extreme drought. Data analysis was performed using the analysis of variance for repeated measures and the Mann–Whitney-Wilcoxon test. The study showed that cork oak regeneration is influenced by stand density, which promoted the establishment success and survival of natural regeneration in a period of reduced precipitation, despite possible competition for water resources. The mean number of seedlings differed significantly between the two stands. However, there were no significant differences in the mean number of seedlings throughout the field measurements. Additionally, the percentage of dead seedlings was low even after the summer season (9.5% of the total seedlings) in the denser stand. These results indicate that high canopy cover can have a protective effect for extreme climatic events and should be considered in forestry management to promote regeneration of the cork oak forests.
Prediction of potential habitat areas of Rhododendron delavayi in China based on maximum entropy model MaxEnt
Authors: Dong Jian , Bai Tian , Gao Zhao-sheng , Yang Song-wei , Zhang Jing-li , Wu Ya-wen
Published: June 2024

Rhododendron delavayi Franch. predominantly thrives in broad-leaved evergreen forests and bushes at altitudes of 1,200–3,200 meters. It favors a cool, moist climate and thrives in acidic soils. Due to its high ornamental, medicinal, and scientific values, understanding its ecological needs and optimal cultivation ranges is crucial. This study analyzing the key environmental factors and their thresholds affecting its distribution and predicts the future potential habitats of R. delavayi using existing distribution data alongside current and projected climate data. The results indicate that the primary environmental influencers are soil pH (4.9–5.4), precipitation in the driest month (10–20 mm), and altitude, contributing 41.8, 24.1, and 18.3%, respectively. It also shows a declining trend in suitable habitats: from 27.75 × 104 km2 under current conditions, to 3.69 × 104 km2 by the 2050s, and further to 2.65 × 104 km2 by the 2070s.
Distinct small RNAs are expressed at different stages of Phytophthora capsici and play important roles in development and pathogenesis
Authors: Zhong Shan , Zhang Sicong , Zheng Yang , Zhang Qinghua , Liu Fangmin , Wang Zhiwen , Liu Xili
Published: June 2024

Small RNAs (sRNAs) are important non-coding RNA regulators that play key roles in the development and pathogenesis of plant pathogens, as well as in other biological processes. However, whether these abundant and varying sRNAs are involved in Phytophthora development or infection remains enigmatic. In this study, sRNA sequencing of 4 asexual stages of Phytophthora capsici (P. capsici), namely, as mycelia (HY), sporangia (SP), zoospores (ZO), cysts (CY), and pepper infected with P. capsici (IN), were performed, followed by sRNA analysis, microRNA (miRNA) identification, and miRNA target prediction. sRNAs were mainly distributed at 25–26 nt in HY, SP, and ZO but distributed at 18–34 nt in CY and IN. 92, 42, 176, 39, and 148 known miRNAs and 15, 19, 54, 13, and 1 novel miRNA were identified in HY, SP, ZO, CY, and IN, respectively. It was found that the expression profiles of known miRNAs vary greatly at different stages and could be divided into 4 categories. Novel miRNAs mostly belong to part I. Gene ontology (GO) analysis of known miRNA-targeting genes showed that they are involved in the catalytic activity pathway, binding function, and other biological processes. Kyoto Encyclopedia of Gene and Genome (KEGG) analysis of novel miRNA-targeting genes showed that they are involved in the lysine degradation pathway. The expression of candidate miRNAs was validated using quantitative reverse transcription–polymerase chain reaction (qRT–PCR), and miRNAs were downregulated in PcDCL1 or PcAGO1 mutants. To further explore the function of the detected miRNAs, the precursor of a novel miRNA, miR91, was knockout by CRISPR-Cas9, the mutants displayed decreased mycelial growth, sporangia production, and zoospore production. It was found that 503142 (Inositol polyphosphate 5-phosphatase and related proteins) can be predicted as a target of miR91, and the interaction between miR91 and 503142 was verified using the tobacco transient expression system. Overall, our results indicate that the diverse and differentially expressed sRNAs are involved in the development and pathogenesis of P. capsici.
Decoding the immune landscape: a comprehensive analysis of immune-associated biomarkers in cervical carcinoma and their implications for immunotherapy strategies
Authors: Wang Le , Liu Huatian , Feng Yue , Liu Xueting , Wang Yuan , Liu Yujie , Li Hao , Zhang Yunyan
Published: June 2024

Background and aims

Cervical cancer, a prevalent gynecological malignant tumor, poses a significant threat to women’s health and lives. Immune checkpoint inhibitor (ICI) therapy has emerged as a promising avenue for treating cervical cancer. For patients with persistent or recurrent metastatic cervical cancer, If the sequence of dead receptor ligand-1 (PD-L1) is positive, ICI show significant clinical efficacy. PD-L1 expression serves as a valuable biomarker for assessing ICI therapeutic efficacy. However, the complex tumor immune microenvironment (TIME), encompassing immune cell composition and tumor-infiltrating lymphocyte (TIL) status, also exerts a profound influence on tumor immunity and prognosis. Given the remarkable strides made by ICI treatments in improving the survival rates of cervical cancer patients, it becomes essential to identify a comprehensive biomarker that integrates various TIME aspects to enhance the effectiveness of ICI treatment. Therefore, the quest for biomarkers linked to multiple facets of TIME in cervical cancer is a vital pursuit.

Methods

In this study, we have developed an Immune-Associated Gene Prognostic Index (IRGPI) with remarkable prognostic value specifically for cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC). The Cancer Genome Atlas CESC dataset (n = 305) was meticulously analyzed to pinpoint key immune-related genes via weighted gene co-expression network analysis and differential gene expression assays. Subsequently, we employed Cox regression analysis to construct the IRGPI. Furthermore, the composition of immune cells and TIL status were examined using CIBERSORT and TIDE. Tumor expression of Epigen, LCN10, and P73 were determined with immunohistochemistry.

Results

The resulting IRGPI, composed of EPGN, LCN10, and TP73 genes, displayed a strong negative correlation with patient survival. The discovery was validated with a patient cohort from our hospital. The IRGPI not only predicts the composition of immune cell subtypes such as Macrophages M1, NK cells, Mast cells, Plasma cells, Neutrophils, Dendritic cells, T cells CD8, and T cells CD4 within CESC, but also indicates TIL exclusion, dysfunction, and PD-1 and PD-L1 expression. Therefore, the IRGPI emerges as a promising biomarker not only for prognostic assessment but also for characterizing multiple immune features in CESC. Additionally, our results underscored the significant associations between the IRGPI and immune cell composition, TIL exclusion, and dysfunction, along with PD-1 and PD-L1 expression in the TIME.

Conclusion

Consequently, the IRGPI stands out as a biomarker intimately connected to both the survival and TIME status of CESC patients, offering potential insights into immunotherapy strategies for CESC.
An update on periodontal inflammation and bone loss
Authors: Zhang Mingzhu , Liu Yali , Afzali Hamideh , Graves Dana T.
Published: June 2024

Periodontal disease is a chronic inflammatory condition that affects the supporting structures of the teeth, including the periodontal ligament and alveolar bone. Periodontal disease is due to an immune response that stimulates gingivitis and periodontitis, and its systemic consequences. This immune response is triggered by bacteria and may be modulated by environmental conditions such as smoking or systemic disease. Recent advances in single cell RNA-seq (scRNA-seq) and in vivo animal studies have provided new insight into the immune response triggered by bacteria that causes periodontitis and gingivitis. Dysbiosis, which constitutes a change in the bacterial composition of the microbiome, is a key factor in the initiation and progression of periodontitis. The host immune response to dysbiosis involves the activation of various cell types, including keratinocytes, stromal cells, neutrophils, monocytes/macrophages, dendritic cells and several lymphocyte subsets, which release pro-inflammatory cytokines and chemokines. Periodontal disease has been implicated in contributing to the pathogenesis of several systemic conditions, including diabetes, rheumatoid arthritis, cardiovascular disease and Alzheimer’s disease. Understanding the complex interplay between the oral microbiome and the host immune response is critical for the development of new therapeutic strategies for the prevention and treatment of periodontitis and its systemic consequences.
Differences in risk of serious infections between patients with secondary versus primary nephropathy following rituximab treatment: a retrospective cohort study
Authors: Xu Jing , Ding Ying , Qu Zhen , Yu Feng
Published: June 2024

Background

The incidence of severe infections (SIs) in patients with autoimmune nephropathy after rituximab (RTX) treatment varies significantly. Our study aims to identify high-risk populations, specifically by comparing the differences in the risk of SIs between patients with primary nephropathy and those with nephropathy in the context of systemic autoimmune diseases (referred to as secondary nephropathy).

Methods

This retrospective cohort study investigated the occurrence of SIs in adult patients with immune-related kidney disease who received RTX treatment at our institution from 2017 to 2022. Multivariable COX regression models were used to analyze the association between the type of nephropathy (primary or secondary) and SIs. Propensity score analyses, subgroup analyses, and E-value calculations were performed to ensure the reliability of the results.

Results

Out of 123 patients, 32 (26%) developed 39 cases of SIs during a mean follow-up period of 19.7 ± 14.6 months post-RTX treatment, resulting in an incidence rate of 18.9/100 patient-years. The multivariable COX regression analysis indicated that patients with secondary nephropathy had a significantly higher risk of SIs compared to those with primary nephropathy (HR = 5.86, 95% CI: 1.05–32.63, P = 0.044), even after accounting for confounding variables including gender, age, BMI, history of prior SIs, baseline eGFR, lymphocyte counts, IgG levels, and the utilization of other immunosuppressive therapies. Various sensitivity analyses consistently supported these findings, with an E-value of 5.99. Furthermore, advanced age (HR: 1.03; 95% CI: 1.01–1.06; P = 0.023), low baseline IgG levels (HR: 0.75; 95% CI: 0.64–0.89; P < 0.001), and recent history of SIs (HR: 5.68; 95% CI: 2.2–14.66; P < 0.001) were identified as independent risk factors.

Conclusion

The incidence of SIs following RTX administration in patients with autoimmune nephropathy is significant. It is crucial to note that there are distinct differences between the subgroups of primary and secondary nephropathy. Patients with secondary nephropathy, particularly those who are elderly, have low baseline IgG levels, and have a recent history of SI, are more susceptible to SIs.
Density and abundance estimates of cetaceans in the Black Sea through aerial surveys (ASI/CeNoBS)
Authors: Paiu Romulus-Marian , Cañadas Ana , Dede Ayhan , Meshkova Galina , Murariu Dumitru , Amaha Ozturk Ayaka , Popov Dimitar , Tonay Arda M. , Timofte Costin , Kopaliani Natia , Gol’din Pavel , Panigada Simone
Published: June 2024

Introduction

Population abundance is amongst the most basic and crucial parameters for the assessment of conservation status of any species. Three species of odontocetes, all represented by local subspecies, inhabit the Black Sea: the Black Sea common dolphin Delphinus delphis ponticus, the Black Sea bottlenose dolphin Tursiops truncatus ponticus, and the Black Sea harbour porpoise Phocoena phocoena relicta. Their populations are threatened by multiple factors, including overfishing of their prey, bycatch, pollution and epizootics. Despite this, there are no basinwide estimates for any cetacean species in the Black Sea.

Methods

In 2019, a systematic study was carried out under the EU CeNoBS project. Six strata were designed in the waters of Bulgaria, Georgia, Romania, Türkiye and Ukraine, covering most of territorial and offshore waters, which were surveyed between June 19 and July 4. A line transect distance sampling approach was used, following predefined transects within each stratum, achieving a 5% coverage of the surveyed area. A total of 7,344 kilometres of transects were surveyed recording a total of 1,744 cetacean sightings. Design-based abundance estimates were obtained using a Multiple Covariate Distance Sampling (MCDS) approach. Model-based abundance estimates were also derived using a Generalized Additive Models (GAM) approach, linking species sightings with a number of environmental covariates (e.g., bathymetric features, sea surface temperature, chlorophyll-a) over a grid of 10x10 km.

Results and discussion

The uncorrected (for perception and availability bias) estimates obtained through the model-based analysis were 108,283 (CV=0.07) common dolphins, 22,720 (CV=0.15) bottlenose dolphins and 93,808 (CV=0.06) harbour porpoises. These aerial surveys yielded the first insights on overall abundance, density and distribution, providing current regional baseline values and density maps for all three cetacean species of the Black Sea during the summer months, to be used for the elaboration of effective conservation measures and to address national and international requirements.
A machine learning model-based satellite data record of dissolved organic carbon concentration in surface waters of the global open ocean
Authors: Laine Marko , Kulk Gemma , Jönsson Bror F. , Sathyendranath Shubha
Published: June 2024

Dissolved Organic Carbon (DOC) is the largest organic carbon pool in the ocean. Considering the biotic and abiotic factors controlling DOC processes, indirect satellite methods for open ocean DOC estimation can be developed, using conceptual, empirical or statistical models, driven by multiple satellite products. In this study, we infer a time series of global DOC from data of the European Space Agency’s (ESA) Ocean Colour Climate Change Initiative (OC-CCI) in combination with a global database of in situ DOC observations. We tested empirical machine learning modelling approaches in which the available in situ data are used to train the models and to find empirical relationships between DOC and variables available from remote sensing. Of the tested methods, a random forest regression showed the best results, and the details of this model are further reported here. We present a time series of global open ocean DOC concentrations between 2010–2018 that is made freely available through the archive of the UK Centre for Environmental Data Analysis (CEDA).
An Arctic sea ice spring bloom driven and dominated by Dinoflagellates - a harbinger of the future sea ice?
Authors: Lund-Hansen Lars Chresten , Kobberup Emil , Jensen Lasse Z. , Sorrell Brian , Søgaard Dorte Haubjerg
Published: June 2024

The sea ice spring bloom is crucial for sustaining Arctic marine food webs, with sea ice algae serving as primary carbon sources for higher trophic levels. Despite the prevailing dominance of diatom species in sea ice spring blooms, our study highlights a notable deviation, showcasing a bloom driven by dinoflagellates. Through field sampling of first-year sea ice cores and subsequent analysis of physical and biogeochemical parameters, combined with amplicon sequencing of the 18S rRNA gene, we investigated the occurrence and implications of this significant dinoflagellate bloom, with a particular focus on Polarella glacialis. Our findings reveal that high irradiances at the top of the ice core, coupled with elevated nutrient availability and warm ice conditions, are key drivers of this phenomenon, as elucidated by redundancy analysis. Moreover, our results suggest a potential climate-driven decline in snow cover on sea ice, increased open leads, and thinner sea ice, which may favor the proliferation of dinoflagellates over diatoms. This alternative dinoflagellate-dominated bloom could have profound ecological consequences, given the enriched omega-3 fatty acid content of dinoflagellates, thereby influencing energy transfer within the Arctic marine food web. Furthermore, our study identifies the presence of not only Polarella glacialis but also Chytridinium, an ectoparasite on copepod eggs, and the green algae Ulothrix in relatively high abundances within the sea ice. These findings shed light on the intricate interplay between environmental factors and microbial community dynamics within Arctic sea ice ecosystems.
Development of a deep learning model for predicting recurrence of hepatocellular carcinoma after liver transplantation
Authors: Ko Seung Hyoung , Cao Jie , Yang Yong-kang , Xi Zhi-feng , Han Hyun Wook , Sha Meng , Xia Qiang
Published: June 2024

Background

Liver transplantation (LT) is one of the main curative treatments for hepatocellular carcinoma (HCC). Milan criteria has long been applied to candidate LT patients with HCC. However, the application of Milan criteria failed to precisely predict patients at risk of recurrence. As a result, we aimed to establish and validate a deep learning model comparing with Milan criteria and better guide post-LT treatment.

Methods

A total of 356 HCC patients who received LT with complete follow-up data were evaluated. The entire cohort was randomly divided into training set (n = 286) and validation set (n = 70). Multi-layer-perceptron model provided by pycox library was first used to construct the recurrence prediction model. Then tabular neural network (TabNet) that combines elements of deep learning and tabular data processing techniques was utilized to compare with Milan criteria and verify the performance of the model we proposed.

Results

Patients with larger tumor size over 7 cm, poorer differentiation of tumor grade and multiple tumor numbers were first classified as high risk of recurrence. We trained a classification model with TabNet and our proposed model performed better than the Milan criteria in terms of accuracy (0.95 vs. 0.86, p < 0.05). In addition, our model showed better performance results with improved AUC, NRI and hazard ratio, proving the robustness of the model.

Conclusion

A prognostic model had been proposed based on the use of TabNet on various parameters from HCC patients. The model performed well in post-LT recurrence prediction and the identification of high-risk subgroups.
A critical assessment of microbial-based antimicrobial sanitizing of inanimate surfaces in healthcare settings
Authors: Fijan Sabina , Kürti Peter , Rozman Urška , Šostar Turk Sonja
Published: June 2024

The global rise in antimicrobial resistance (AMR) poses a significant public health threat, especially in healthcare settings, where controlling the spread of antimicrobial genes is crucial. While person-to-person transmission remains the primary route for healthcare-associated infections (HAIs), hospital surfaces serve as key reservoirs for antimicrobial-resistant microorganisms. Regular cleaning and disinfection of these surfaces are essential. Microbial-based products for sanitizing hospital surfaces have emerged as promising tools to combat HAIs and AMR. However, a review of 32 publications found inconsistencies and potential risks. A total of 15 publications included hospital-based trials, while the rest were either in vitro or in situ assays, reviews, book chapters, or commentaries. In most of the hospital-based studies, specific strains of applied microorganisms were not identified, and the term “probiotic” was inaccurately used. These products mainly featured spores from Bacillus and Priestia genera, which was mainly hypothesized to work through competitive exclusion. Most hospital-based studies have shown that the application of microbial-based products resulted in a significant reduction in pathogens on surfaces, thereby contributing to a decrease in the incidence of healthcare-associated infections (HAIs). Further research is however needed to understand the effectiveness, mechanisms of action, and safety of microbial-based sanitizing agents. Strain-level identification is crucial for safety assessments, yet many reviewed products lacked this information. Consequently, there is a need for rigorous safety evaluations within existing regulatory frameworks to ensure the efficacy and safety of microbial-based cleaning products in healthcare settings.
Causal relationship between gut microbiota and Behçet’s disease: a Mendelian randomization study
Authors: Li Yu-Nan , Chen Tong , Xue Yang , Jia Jun-Ya , Yan Tie-Kun , Xu Peng-Cheng
Published: June 2024

Background

While observational epidemiological studies have suggested an association between gut microbiota and Behçet’s disease (BD), the causal relationship between the two remains uncertain.

Methods

Statistical data were obtained from gut microbiome Genome-Wide Association Studies (GWAS) published by the MiBioGen consortium, and genetic variation points were screened as instrumental variables (IV). Mendelian randomization (MR) study was performed using inverse variance weighted (IVW), weighted median, MR-Egger regression, simple mode, and weighted mode methods to evaluate the causal relationship between gut microbiota (18,340 individuals) and BD (317,252 individuals). IVW was the main method of analysis. The stability and reliability of the results were verified using the leave-one-out method, heterogeneity test, and horizontal genetic pleiotropy test. Finally, a reverse MR analysis was performed to explore reverse causality.

Results

Inverse variance weighted (IVW) results showed that the genus Parasutterella (OR = 0.203, 95%CI 0.055–0.747, p = 0.016), Lachnospiraceae NC2004 group (OR = 0.101, 95%CI 0.015–0.666, p = 0.017), Turicibacter (OR = 0.043, 95%CI 0.007–0.273, p = 0.001), and Erysipelatoclostridium (OR = 0.194, 95%CI 0.040–0.926, p = 0.040) were protective factors against BD, while Intestinibacter (OR = 7.589, 95%CI 1.340–42.978, p = 0.022) might be a risk factor for BD.

Conclusion

Our study revealed the causal relationship between gut microbiota and BD. The microbiota that related to BD may become new biomarkers; provide new potential indicators and targets for the prevention and treatment of BD.
Genetic characterization of the first Deltacoronavirus from wild birds around Qinghai Lake
Authors: Tian Ye , Yu Tianqi , Wang Jun , Zhang Haoxiang , Jian Yingna , Li Xiuping , Wang Geping , Wang Guanghua , Hu Yong , Lu Chenhe , Zhou Jiyong , Ma Liqing , Liao Min
Published: June 2024

Deltacoronavirus, widely distributed among pigs and wild birds, pose a significant risk of cross-species transmission, including potential human epidemics. Metagenomic analysis of bird samples from Qinghai Lake, China in 2021 reported the presence of Deltacoronavirus. A specific gene fragment of Deltacoronavirus was detected in fecal samples from wild birds at a positive rate of 5.94% (6/101). Next-generation sequencing (NGS) identified a novel Deltacoronavirus strain, which was closely related to isolates from the United Arab Emirates (2018), China (2022), and Poland (2023). Subsequently the strain was named A/black-headed gull/Qinghai/2021(BHG-QH-2021) upon confirmation of the Cytochrome b gene of black-headed gull in the sample. All available genome sequences of avian Deltacoronavirus, including the newly identified BHG-QH-2021 and 5 representative strains of porcine Deltacoronavirus (PDCoV), were classified according to ICTV criteria. In contrast to Coronavirus HKU15, which infects both mammals and birds and shows the possibility of cross-species transmission from bird to mammal host, our analysis revealed that BHG-QH-2021 is classified as Putative species 4. Putative species 4 has been reported to infect 5 species of birds but not mammals, suggesting that cross-species transmission of Putative species 4 is more prevalent among birds. Recombination analysis traced BHG-QH-2021 origin to dut148cor1 and MW01_1o strains, with MW01_1o contributing the S gene. Surprisingly, SwissModle prediction showed that the optimal template for receptor-binding domain (RBD) of BHG-QH-2021 is derived from the human coronavirus 229E, a member of the Alphacoronavirus, rather than the anticipated RBD structure of PDCoV of Deltacoronavirus. Further molecular docking analysis revealed that substituting the loop 1–2 segments of HCoV-229E significantly enhanced the binding capability of BHG-QH-2021 with human Aminopeptidase N (hAPN), surpassing its native receptor-binding domain (RBD). Most importantly, this finding was further confirmed by co-immunoprecipitation experiment that loop 1–2 segments of HCoV-229E enable BHG-QH-2021 RBD binding to hAPN, indicating that the loop 1–2 segment of the RBD in Putative species 4 is a probable key determinant for the virus ability to spill over into humans. Our results summarize the phylogenetic relationships among known Deltacoronavirus, reveal an independent putative avian Deltacoronavirus species with inter-continental and inter-species transmission potential, and underscore the importance of continuous surveillance of wildlife Deltacoronavirus.
Circulating miRNA profiles and the risk of hemorrhagic transformation after thrombolytic treatment of acute ischemic stroke: a pilot study
Authors: Stańczak Marcin , Wyszomirski Adam , Słonimska Paulina , Kołodziej Barbara , Jabłoński Bartosz , Stanisławska-Sachadyn Anna , Karaszewski Bartosz
Published: June 2024

Background

Hemorrhagic transformation (HT) in acute ischemic stroke is likely to occur in patients treated with intravenous thrombolysis (IVT) and may lead to neurological deterioration and symptomatic intracranial hemorrhage (sICH). Despite the complex inclusion and exclusion criteria for IVT and some useful tools to stratify HT risk, sICH still occurs in approximately 6% of patients because some of the risk factors for this complication remain unknown.

Objective

This study aimed to explore whether there are any differences in circulating microRNA (miRNA) profiles between patients who develop HT after thrombolysis and those who do not.

Methods

Using qPCR, we quantified the expression of 84 miRNAs in plasma samples collected prior to thrombolytic treatment from 10 individuals who eventually developed HT and 10 patients who did not. For miRNAs that were downregulated (fold change (FC) <0.67) or upregulated (FC >1.5) with p < 0.10, we investigated the tissue specificity and performed KEGG pathway annotation using bioinformatics tools. Owing to the small patient sample size, instead of multivariate analysis with all major known HT risk factors, we matched the results with the admission NIHSS scores only.

Results

We observed trends towards downregulation of miR-1-3p, miR-133a-3p, miR-133b and miR-376c-3p, and upregulation of miR-7-5p, miR-17-3p, and miR-296-5p. Previously, the upregulated miR-7-5p was found to be highly expressed in the brain, whereas miR-1, miR-133a-3p and miR-133b appeared to be specific to the muscles and myocardium.

Conclusion

miRNA profiles tend to differ between patients who develop HT and those who do not, suggesting that miRNA profiling, likely in association with other omics approaches, may increase the current power of tools predicting thrombolysis-associated sICH in acute ischemic stroke patients. This study represents a free hypothesis-approach pilot study as a continuation from our previous work. Herein, we showed that applying mathematical analyses to extract information from raw big data may result in the identification of new pathophysiological pathways and may complete standard design works.