bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of shoreline habitats on native and non-native fish species in a set of Neotropical reservoirs
Authors: Franco Ana Clara Sampaio , Petry Ana Cristina , García-Berthou Emili , dos Santos Luciano Neves 
Published: May 2024

AbstractBiodiversity is declining worldwide due to anthropogenic impacts, especially noxious for freshwater ecosystems, considering their close relationship with human activities. Damming is one of the most harmful human impacts that leads to the loss of several riverine fish through habitat loss or change. Herein, we aimed to assess the relationship between the composition of fish assemblages in reservoirs and the availability of littoral habitats, and whether these patterns differ between native and non-native species. Fish assemblages of fifteen reservoirs from up to downstream the Paraíba do Sul river basin were evaluated. Habitat availability was more important for native than for non-native species, after controlling for the influence of reservoir features. Local drivers were crucial for the occurrence of non-native species which thrived in the absence of complex habitats. Macrophytes seemed to play two key but quite antagonistic roles for fish species. They were positively related to native small characids, probably acting as shelter against predation, but they were also related to hypoxic conditions in eutrophic reservoirs. These findings stress the importance of preserving or restoring physically complex habitats as beneficial for native fish species through providing grounds for feeding (catfishes on leaves) and recruitment (juveniles of characids in macrophytes banks).
Rescue in vitro maturation using ovarian support cells of human oocytes from conventional stimulation cycles yields oocytes with improved nuclear maturation and transcriptomic resemblance to in vivo matured oocytes
Authors: Paulsen Bruna , Piechota Sabrina , Barrachina Ferran , Giovannini Alexa , Kats Simone , Potts Kathryn S. , Rockwell Graham , Marchante Maria , Estevez Samantha L. , Noblett Alexander D. , Figueroa Alexandra B. , Aschenberger Caroline , Kelk Dawn A. , Forti Marcy , Marcinyshyn Shelby , Wiemer Klaus , Sanchez Marta , Belchin Pedro , Lee Joseph A. , Buyuk Erkan , Slifkin Rick E. , Smela Merrick Pierson , Fortuna Patrick R. J. , Chatterjee Pranam , McCulloh David H. , Copperman Alan B. , Ordonez-Perez Daniel , Klein Joshua U. , Kramme Christian C. 
Published: May 2024

Abstract
Purpose
Determine if the gene expression profiles of ovarian support cells (OSCs) and cumulus-free oocytes are bidirectionally influenced by co-culture during in vitro maturation (IVM).

Methods
Fertility patients aged 25 to 45 years old undergoing conventional ovarian stimulation donated denuded immature oocytes for research. Oocytes were randomly allocated to either OSC-IVM culture (intervention) or Media-IVM culture (control) for 24–28 h. The OSC-IVM culture condition was composed of 100,000 OSCs in suspension culture with human chorionic gonadotropin (hCG), recombinant follicle stimulating hormone (rFSH), androstenedione, and doxycycline supplementation. The Media-IVM control lacked OSCs and contained the same supplementation. A limited set of in vivo matured MII oocytes were donated for comparative evaluation. Endpoints consisted of MII formation rate, morphological and spindle quality assessment, and gene expression analysis compared to in vitro and in vivo controls.

Results
OSC-IVM resulted in a statistically significant improvement in MII formation rate compared to the Media-IVM control, with no apparent effect on morphology or spindle assembly. OSC-IVM MII oocytes displayed a closer transcriptomic maturity signature to IVF-MII controls than Media-IVM control MII oocytes. The gene expression profile of OSCs was modulated in the presence of oocytes, displaying culture- and time-dependent differential gene expression during IVM.

Conclusion
The OSC-IVM platform is a novel tool for rescue maturation of human oocytes, yielding oocytes with improved nuclear maturation and a closer transcriptomic resemblance to in vivo matured oocytes, indicating a potential enhancement in oocyte cytoplasmic maturation. These improvements on oocyte quality after OSC-IVM are possibly occurring through bidirectional crosstalk of cumulus-free oocytes and ovarian support cells.
Via Order Markets Towards Price-Taking Equilibrium
Authors: Flåm Sjur Didrik 
Published: May 2024

AbstractCan order markets lead participants towards price-taking equilibrium? Viewing market sessions as steps of iterative algorithms, this paper indicates positive prospects for convergence. Mathematical arguments turn on convolution, efficiency and generalized gradients. Economic arguments revolve around reservation costs, derived from indifference or threshold payments for quantities supplied or demanded.
Population-Level Surveillance of Domestic Assaults in the Home Using the National Emergency Medical Services Information System (NEMSIS)
Authors: AbiNader Millan Alexander , Rundle Andrew G. , Park Yoosun , Lo Alexander X. 
Published: May 2024

AbstractViolence in the home, including partner violence, child abuse, and elder abuse, is pervasive in the United States. An informatics approach allowing automated analysis of administrative data to identify domestic assaults and release timely and localized data would assist preventionists to identify geographic and demographic populations of need and design tailored interventions. This study examines the use of an established national dataset, the NEMSIS 2019, as a potential annual automated data source for domestic assault surveillance. An algorithm was used to identify individuals who utilized emergency medical services (EMS) for a physical assault in a private residence (N = 176,931). Descriptive analyses were conducted to define the identified population and disposition of patients. A logistic regression was performed to predict which characteristics were associated with consistent domestic assault identification by the on-scene EMS clinician and dispatcher. The sample was majority female (52.2%), White (44.7%), urban (85.5%), and 21–29 years old (24.4%). A disproportionate number of those found dead on scene were men (74.5%), and female patients more often refused treatment (57.8%) or were treated and then released against medical advice (58.4%). Domestic assaults against children and seniors had higher odds of being consistently identified by both the dispatcher and EMS clinician than those 21–49, and women had lower odds of consistent identification than men. While a more specific field to identify the type of domestic assault (e.g., intimate partner) would help inform specialized intervention planning, these data indicate an opportunity to systematically track domestic assaults in communities and describe population-specific needs.
Structured light for touchless 3D registration in video-based surgical navigation
Authors: Baptista Tânia , Marques Miguel , Raposo Carolina , Ribeiro Luís , Antunes Michel , Barreto Joao P. 
Published: May 2024

Abstract
Purpose
Arthroscopic surgery, with its inherent difficulties on visibility and maneuverability inside the joint, poses significant challenges to surgeons. Video-based surgical navigation (VBSN) has proven to have clinical benefits in arthroscopy but relies on a time-consuming and challenging surface digitization using a touch probe to accomplish registration of intraoperative data with preoperative anatomical models. This paper presents an off-the-shelf laser scanner for noninvasive registration that enables an increased area of reachable region.

Methods
Our solution uses a standard arthroscope and a light projector with visual markers for real-time extrinsic calibration. Nevertheless, the shift from a touch probe to a laser scanner introduces a new challenge—the presence of a significant amount of outliers resulting from the reconstruction of nonrigid structures. To address this issue, we propose to identify the structures of interest prior to reconstruction using a deep learning-based semantic segmentation technique.

Results
Experimental validation using knee and hip phantoms, as well as ex-vivo data, assesses the laser scanner’s effectiveness. The integration of the segmentation model improves results in ex-vivo experiments by mitigating outliers. Specifically, the laser scanner with the segmentation model achieves registration errors below 2.2 mm, with the intercondylar region exhibiting errors below 1 mm. In experiments with phantoms, the errors are always below 1 mm.

Conclusion
The results show the viability of integrating the laser scanner with VBSN as a noninvasive and potential alternative to traditional methods by overcoming surface digitization challenges and expanding the reachable region. Future efforts aim to improve hardware to further optimize performance and applicability in complex procedures.
Engineering punching shear strength of flat slabs predicted by nature-inspired metaheuristic optimized regression system
Authors: Truong Dinh-Nhat , To Van-Lan , Truong Gia Toai , Jang Hyoun-Seung 
Published: May 2024

AbstractReinforced concrete (RC) flat slabs, a popular choice in construction due to their flexibility, are susceptible to sudden and brittle punching shear failure. Existing design methods often exhibit significant bias and variability. Accurate estimation of punching shear strength in RC flat slabs is crucial for effective concrete structure design and management. This study introduces a novel computation method, the jellyfish-least square support vector machine (JS-LSSVR) hybrid model, to predict punching shear strength. By combining machine learning (LSSVR) with jellyfish swarm (JS) intelligence, this hybrid model ensures precise and reliable predictions. The model’s development utilizes a real-world experimental data set. Comparison with seven established optimizers, including artificial bee colony (ABC), differential evolution (DE), genetic algorithm (GA), and others, as well as existing machine learning (ML)-based models and design codes, validates the superiority of the JS-LSSVR hybrid model. This innovative approach significantly enhances prediction accuracy, providing valuable support for civil engineers in estimating RC flat slab punching shear strength.
Low-dose azithromycin prophylaxis in patients with atrial fibrillation and chronic obstructive pulmonary disease
Authors: Bucci Tommaso , Wat Dennis , Sibley Sarah , Wootton Dan , Green David , Pignatelli Pasquale , Lip Gregory Y. H. , Frost Freddy 
Published: May 2024

AbstractLow-dose azithromycin prophylaxis is associated with improved outcomes in people suffering frequent exacerbations of chronic obstructive pulmonary disease (COPD), but the use of macrolides in patients with cardiovascular disease has been debated. To investigate the risk of adverse events after COPD exacerbations in patients with atrial fibrillation (AF) treated with azithromycin prophylaxis. Retrospective cohort study within the TriNetX Platform, including AF patients with COPD exacerbations. Risks of primary and secondary outcomes were recorded up to 30 days post-COPD exacerbations and compared between azithromycin users and azithromycin non-users. The primary outcomes were the risks for a composite of (1) cardiovascular (all-cause death, heart failure, ventricular arrhythmias, ischemic stroke, myocardial infarction, and cardiac arrest), and (2) hemorrhagic events (intracranial hemorrhage (ICH), and gastro-intestinal bleeding). Cox-regression analyses compared outcomes between groups after propensity score matching (PSM). After PSM, azithromycin users (n = 2434, 71 ± 10 years, 49% females) were associated with a lower 30-day risk of post-exacerbation cardiovascular (HR 0.67, 95% CI 0.61–0.73) and hemorrhagic composite outcome (HR 0.45, 95% CI 0.32–0.64) compared to azithromycin non-users (n = 2434, 72 ± 11 years, 51% females). The beneficial effect was consistent for each secondary outcomes, except ICH. On sensitivity analyses, the reduced risk of adverse events in azithromycin users was irrespective of smoking status, exacerbation severity, and type of oral anticoagulation. Azithromycin prophylaxis is associated with a lower risk of all-cause death, thrombotic and hemorrhagic events in AF patients with COPD. The possible role of azithromycin prophylaxis as part of the integrated care management of AF patients with COPD needs further study.
Placenta-targeted Treatment Strategies for Preeclampsia and Fetal Growth Restriction: An Opportunity and Major Challenge
Authors: Cui Jianjian , Yang Zejun , Ma Ruilin , He Wencong , Tao Hui , Li Ya’nan , Zhao Yin 
Published: May 2024

AbstractThe placenta plays a crucial role in maintaining normal pregnancy. The failure of spiral artery remodeling (SAR) is a key factor leading to placental ischemia and poor perfusion which is strongly associated with obstetric diseases, including preeclampsia (PE) and fetal growth restriction (FGR). Existing interventions for PE and FGR are limited and termination of pregnancy is inevitable when the maternal or fetus condition deteriorates. Considering the safety of the mother and fetus, treatments that may penetrate the placental barrier and harm the fetus are not accepted. Developing targeted treatment strategies for these conditions is urgent and necessary. With the proven efficacy of targeted therapy in treating conditions such as endometrial cancer and trophoblastic tumors, research on placental dysfunction continues to deepen. This article reviews the studies on placenta-targeted treatment and drug delivery strategies, summarizes the characteristics proposes corresponding improvement measures in targeted treatment, provides solutions for existing problems, and makes suggestions for future studies.
Graphical abstract
Adherence to the dietary approaches to stop hypertension diet reduces the risk of diabetes mellitus: a systematic review and dose-response meta-analysis
Authors: Quan Xiyan , Shen Xiaoming , Li Chun , Li Yayuan , Li Tiangang , Chen Baifan 
Published: May 2024

Abstract
Background
Despite several epidemiological studies reporting a significant association between adherence to the Dietary Approaches to Stop Hypertension (DASH) diet and the risk of diabetes mellitus, the results remain controversial. In this systematic review and meta-analysis, we aimed to summarize the existing evidence from published observational studies and evaluate the dose-response relationship between adherence to the DASH diet and diabetes mellitus risk.

Methods
We performed a systematic search for relevant articles published up to September 2023 using electronic databases of PubMed, Embase, Scopus, and China National Knowledge Infrastructure (CNKI). A random-effects model was applied to calculate the combined relative risks (RR) with 95% confidence intervals (CIs) for the highest compared to the lowest categories of DASH score in relation to diabetes mellitus risk. Heterogeneity among the included studies was assessed using the Cochran’s Q test and I-squared (I2) statistic. Literature search, study selection, data extraction, and quality assessment were performed by two independent reviewers.

Results
Fifteen studies involving 557,475 participants and 57,064 diabetes mellitus cases were eligible for our analyses. Pooled analyses from included studies showed that high adherence to the DASH diet was significantly associated with a reduced risk of diabetes mellitus (RR: 0.82; 95% CI: 0.76–0.90, P < 0.001). Moreover, the dose-response meta-analysis revealed a linear trend between adherence to the DASH diet and diabetes mellitus (RR:0.99; 95%CI: 0.97–1.02, Pdose-response = 0.546, Pnonlinearity = 0.701). Subgroup analyses further revealed a significant inverse association between adherence to the DASH diet and diabetes mellitus risk in case-control studies (RR: 0.65; 95%CI: 0.29–1.43, P < 0.001), with a marginal inverse association in cohort studies (RR:0.83; 95%CI: 0.76–0.91, P < 0.001). Additionally, we conducted analyses separately by comparison and found a significant inverse association between DASH diet and diabetes mellitus risk in T3 vs T1 comparison studies (RR = 0.74; 95%CI: 0.64–0.86, P = 0.012).

Conclusion
The findings of this study demonstrate a protective association between adherence to the DASH diet and risk of diabetes mellitus. However, further prospective cohort studies and randomized controlled trials are needed to validate these findings.
Support from Physicians as a Key Enabling Factor for Rehabilitation Utilization in Migrants with Back Pain: A Longitudinal Analysis
Authors: Banaschak Hannes , Fauser David , Sternberg Annika , Zimmer Julia-Marie , Golla André , Mau Wilfried , Bethge Matthias 
Published: May 2024

AbstractIn Germany, medical rehabilitation is provided to promote work ability and health in the case of chronic illness and to avoid early disability pensions. Studies have shown that employees with a history of migration are less likely to seek medical rehabilitation. The aim of this paper was to examine which factors influence the use of medical rehabilitation services in migrants with back pain.We used data from a German cohort study also including migrant employees aged 45 to 59 years. Participants reported back pain in the last 3 months and completed a baseline questionnaire in 2017. Data on rehabilitation utilization was extracted from administrative records covering the period until the end of 2018. Proportional hazard models were fitted to identify factors that were associated with utilized rehabilitation measures.Data of 552 participants were included, and 25 individuals utilized rehabilitation during follow-up. Sex (women: HR = 3.05; 95% CI: 1.10; 8.45), higher job insecurity (HR = 1.02; 95% CI: 1.00; 1.03), support from physicians and therapists (HR = 2.22; 95% CI: 1.52; 3.24), proportion of foreigners (HR = 3.27; 1.17; 9.15), and the self-reported need for rehabilitation (HR = 3.23; 95% CI: 1.12; 8.60) were associated with utilization.In summary, informational and practical support provided by physicians and therapists on medical rehabilitation services seems to be a key predictor of rehabilitation utilization. Our findings, therefore, support the call for transcultural competence to be more widely incorporated into the education of medical and health professionals to counteract health care disparities.
Trade-offs and synergies of digital choice environments: Towards a taxonomy and configurational model
Authors: Gottschewski-Meyer Phillip Oliver , Auf der Landwehr Marvin , Lüddemann Nicole , von Viebahn Christoph 
Published: May 2024

AbstractThe advancing digitalization of daily life has led to an increasing number of choices in the digital sphere. User interfaces that require either a judgment or a decision, the so-called digital choice environments (DCEs), are essential focal points for interventions to alter behaviors towards individual or societal welfare. However, there is a lack of descriptive and prescriptive knowledge within the field of DCEs. In this research, we follow a multi-stage approach to classify the characteristics of DCEs from a choice-centric viewpoint and disclose configurational trade-offs. To achieve this, we first build a taxonomy of DCEs that we validate through expert interviews. Subsequently, we use cluster analysis to identify four configurations of DCEs, which serve as the basis for the development of a configurational model that outlines configuration-specific user outcomes. Our results contribute to the existing knowledge of digital value creation as well as the explanatory understanding of trade-offs among different DCEs.
The Health Benefits of Probiotic Lactiplantibacillus plantarum: A Systematic Review and Meta-Analysis
Authors: Aljohani Amal , Rashwan Noha , Vasani Shruti , Alkhawashki Ahmed , Wu Tong Tong , Lu Xingyi , Castillo Daniel A. , Xiao Jin 
Published: May 2024

AbstractTo ensure effective administration of probiotics in clinical practice, it is crucial to comprehend the specific strains and their association with human health. Therefore, we conducted a systematic review and meta-analysis to evaluate the scientific evidence on the impact of Lactiplantibacillus plantarum probiotic consumption on human health. Out of 11,831 records, 135 studies were assessed qualitatively, and 18 studies were included in the meta-analysis. This systematic review demonstrated that probiotic supplementation with L. plantarum, either alone or in combination, can significantly improve outcomes for patients with specific medical conditions. Meta-analysis revealed notable benefits in periodontal health, evidenced by reduced pocket depth and bleeding on probing (p < 0.001); in gastroenterological health, marked by significant reductions in abdominal pain (p < 0.001); and in infectious disease, through a reduction in C-reactive protein levels (p < 0.001). Cardiovascular benefits included lowered total cholesterol and low-density lipoprotein cholesterol in the L. plantarum intervention group (p < 0.05). Our study’s clinical significance highlights the importance of considering probiotic strain and their application to specific diseases when planning future studies and clinical interventions, emphasizing the need for further research in this area.
Predicting Mechanical Properties in Geopolymer Mortars, Including Novel Precursor Combinations, Through XGBoost Method
Authors: Yilmaz Yildiran , Cakmak Talip , Kurt Zafer , Ustabas Ilker 
Published: May 2024

Abstract
Concrete is the most widely used material in the building industry due to its affordability, durability, and strength. However, considering carbon emissions, it is believed that concrete will be replaced by geopolymers in the future. As numerous parameters significantly affect the strength of geopolymers, the performance of potential algorithms for strength prediction needs to be evaluated for different binders to select an appropriate algorithm. This study employs machine learning approaches to provide the best prediction method for the flexural strength and compressive strength of geopolymers. A new dataset containing 533 compressive strength and 533 flexural strength values of geopolymers with different binders such as waste glass (GW), obsidian (OB), and fly ash was created. The best prediction solution, with R
2 = 0.981 for compressive strength and R
2 = 0.898 for flexural strength, was obtained from the extreme gradient boosting (XGBoost) algorithm. Additionally, several other machine learning models were employed, including linear regression, k-nearest neighbors, deep neural network, and random forest, with corresponding determination coefficient (R
2) values of 0.763, 0.804, 0.93, and 0.96, respectively. These models were trained and evaluated using a dataset encompassing features such as binder types, age, and heat, to forecast the mechanical properties of geopolymers. Among these models, XGBoost demonstrated the highest R
2 value, indicating superior performance in predicting both compressive and flexural strengths. The findings of this study provide valuable insights into the selection of appropriate machine learning algorithms for predicting mechanical properties in geopolymers, thus contributing to advancements in sustainable construction materials.