bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel hybrid model for species distribution prediction using neural networks and Grey Wolf Optimizer algorithm
Authors: Zhang Hao-Tian , Yang Ting-Ting , Wang Wen-Ting 
Published: May 2024

AbstractNeural networks are frequently employed to model species distribution through backpropagation methods, known as backpropagation neural networks (BPNN). However, the complex structure of BPNN introduces parameter settings challenges, such as the determination of connection weights, which can affect the accuracy of model simulation. In this paper, we integrated the Grey Wolf Optimizer (GWO) algorithm, renowned for its excellent global search capacity and rapid convergence, to enhance the performance of BPNN. Then we obtained a novel hybrid algorithm, the Grey Wolf Optimizer algorithm optimized backpropagation neural networks algorithm (GNNA), designed for predicting species’ potential distribution. We also compared the GNNA with four prevalent species distribution models (SDMs), namely the generalized boosting model (GBM), generalized linear model (GLM), maximum entropy (MaxEnt), and random forest (RF). These models were evaluated using three evaluation metrics: the area under the receiver operating characteristic curve, Cohen’s kappa, and the true skill statistic, across 23 varied species. Additionally, we examined the predictive accuracy concerning spatial distribution. The results showed that the predictive performance of GNNA was significantly improved compared to BPNN, was significantly better than that of GLM and GBM, and was even comparable to that of MaxEnt and RF in predicting species distributions with small sample sizes. Furthermore, the GNNA demonstrates exceptional powers in forecasting the potential non-native distribution of invasive plant species.
Association between serum Klotho levels and hypothyroidism in older adults: NHANES 2007–2012
Authors: Wang Yan , Hu Ben , Yang Suyun 
Published: May 2024

AbstractWhether Klotho plays any role in hypothyroidism is unknown. This study aimed to determine the relationship between serum Klotho levels and hypothyroidism in older adults. From the 2007 to 2012 National Health and Nutrition Examination Survey (NHANES), 1444 older adults aged 65–79 were included in this cross-sectional study. Hypothyroidism was diagnosed using participants' reports of current medications and TSH tests. Klotho was measured using an enzyme-linked immunosorbent assay. The relationship between serum Klotho levels and hypothyroidism in older people was analyzed by one-way analysis of variance, multiple linear regression models, subgroup analyses, interaction tests, smoothed curve fitting, and threshold effects. A total of 209 (14.47%) participants were identified as having hypothyroidism. Serum Klotho (ln transformation) is independently and significantly negatively associated with the risk of hypothyroidism after complete adjustment for confounders (OR = 0.49, 95% CI 0.31–0.80; P = 0.0039). The results remained stable based on subgroup analyses and interaction tests. However, we observed an inverted U-shaped curve between the two using a smoothed curve fitting in the subgroups of 70 < age ≤ 75 years and females, with inflection points of 6.26 and 6.17, respectively. The results of our study indicate that serum Klotho levels negatively correlate with hypothyroidism among older adults.
Pathogen-epithelium interactions and inflammatory responses in Salmonella Dublin infections using ileal monolayer models derived from adult bovine organoids
Authors: Kawasaki Minae , McConnel Craig S. , Burbick Claire R. , Ambrosini Yoko M. 
Published: May 2024

AbstractSalmonella enterica serovar Dublin (S. Dublin) is an important enteric pathogen affecting cattle and poses increasing public health risks. Understanding the pathophysiology and host–pathogen interactions of S. Dublin infection are critical for developing effective control strategies, yet studies are hindered by the lack of physiologically relevant in vitro models. This study aimed to generate a robust ileal monolayer derived from adult bovine organoids, validate its feasibility as an in vitro infection model with S. Dublin, and evaluate the epithelial response to infection. A stable, confluent monolayer with a functional epithelial barrier was established under optimized culture conditions. The model’s applicability for studying S. Dublin infection was confirmed by documenting intracellular bacterial invasion and replication, impacts on epithelial integrity, and a specific inflammatory response, providing insights into the pathogen-epithelium interactions. The study underscores the utility of organoid-derived monolayers in advancing our understanding of enteric infections in livestock and highlights implications for therapeutic strategy development and preventive measures, with potential applications extending to both veterinary and human medicine. The established bovine ileal monolayer offers a novel and physiologically relevant in vitro platform for investigating enteric pathogen-host interactions, particularly for pathogens like S. Dublin.
Study of the anti-cancer activity of a mesoporous silica nanoparticle surface coated with polydopamine loaded with umbelliprenin
Authors: Edalatian Tavakoli Sedigheh , Motavalizadehkakhky Alireza , Homayouni Tabrizi Masoud , Mehrzad Jamshid , Zhiani Rahele 
Published: May 2024

AbstractA mesoporous silica nanoparticle (MSN) coated with polydopamine (PDA) and loaded with umbelliprenin (UMB) was prepared and evaluated for its anti-cancer properties in this study. Then UMB-MSN-PDA was characterized by dynamic light scattering (DLS), Field emission scanning electron microscopy (FESEM), Transmission electron microscopy (TEM) and FTIR methods. UV-visible spectrometry was employed to study the percentage of encapsulation efficiency (EE%). UMB-MSN-PDA mediated cell cytotoxicity and their ability to induce programmed cell death were evaluated by MTT, real-time qPCR, flow cytometry, and AO/PI double staining methods. The size of UMB-MSN-PDA was 196.7 with a size distribution of 0.21 and a surface charge of −41.07 mV. The EE% was 91.92%. FESEM and TEM showed the spherical morphology of the UMB-MSN-PDA. FTIR also indicated the successful interaction of the UMB and MSN and PDA coating. The release study showed an initial 20% release during the first 24 h of the study and less than 40% during 168 h. The lower cytotoxicity of the UMB-MSN-PDA against HFF normal cells compared to MCF-7 carcinoma cells suggested the safety of formulation on normal cells and tissues. The induction of apoptosis in MCF-7 cells was indicated by the upregulation of P53, caspase 8, and caspase 9 genes, enhanced Sub-G1 phase cells, and the AO/PI fluorescent staining. As a result of these studies, it may be feasible to conduct preclinical studies shortly to evaluate the formulation for its potential use in cancer treatment.
Superiority of high sensitivity cardiac troponin I over NT-proBNP and adiponectin for 7-year mortality in stable patients receiving haemodialysis
Authors: Iwamura Nanami , Kidoguchi Shuhei , Asahi Nanae , Takeda Izumi , Matsuta Kohei , Miyagi Kyoko , Iwano Masayuki , Miyazaki Ryoichi , Kimura Hideki 
Published: May 2024

Abstract
Patients on haemodialysis (HD) have high mortality risk, and prognostic values of the major cardiovascular biomarkers cardiac troponin I (cTnI), N-terminal pro-brain natriuretic peptide (NT-proBNP), and adiponectin should be ascertained over longer follow-up periods using higher-sensitivity assays, which we undertook. In 221 HD patients, levels of high-sensitivity (hs)-cTnI, NT-proBNP, and adiponectin, were measured using high-sensitivity assays, and their associations with all-cause mortality (ACM) and cardiovascular mortality (CVM) were prospectively investigated for 7 years. Higher hs-cTnI and NT-proBNP levels were significant risk factors for ACM and CVM in the Kaplan–Meier analysis. Multivariate Cox proportional hazards analyses in a model including hs-cTnI and NT-proBNP identified log hs-cTnI, but not log NT-proBNP, as an independent risk factor for ACM (HR 2.12, P < 0.02) and CVM (HR 4.48, P < 0.0005). Stepwise analyses identified a high hs-cTnI tertile as a risk factor for ACM (HR 2.31, P < 0.01) and CVM (HR 6.70, P < 0.001). The addition of hs-cTnI to a model including age, CRP, DM, and NT-proBNP significantly improved the discrimination of ACM and CVM each over 7 years. Conclusively, hs-cTnI was superior to NT-proBNP and adiponectin in predicting ACM and CVM over 7 years in HD patients, suggesting the significance of baseline hs-cTnI measurements in long-term management.
Design optimization of groundwater circulation well based on numerical simulation and machine learning
Authors: Fang Zhang , Ke Hao , Ma Yanling , Zhao Siyuan , Zhou Rui , Ma Zhe , Liu Zhiguo 
Published: May 2024

AbstractThe optimal design of groundwater circulation wells (GCWs) is challenging. The key to purifying groundwater using this technique is its proficiency and productivity. However, traditional numerical simulation methods are limited by long modeling times, random optimization schemes, and optimization results that are not comprehensive. To address these issues, this study introduced an innovative approach for the optimal design of a GCW using machine learning methods. The FloPy package was used to create and implement the MODFLOW and MODPATH models. Subsequently, the formulated models were employed to calculate the characteristic indicators of the effectiveness of the GCW operation, including the radius of influence (R) and the ratio of particle recovery (Pr). A detailed collection of 3000 datasets, including measures of operational efficiency and key elements in machine learning, was meticulously compiled into documents through model execution. The optimization models were trained and evaluated using multiple linear regression (MLR), artificial neural networks (ANN), and support vector machines (SVM). The models produced by the three approaches exhibited notable correlations between anticipated outcomes and datasets. For the optimal design of circulating well parameters, machine learning methods not only improve the optimization speed, but also expand the scope of parameter optimization. Consequently, these models were applied to optimize the configuration of the GCW at a site in Xi’an. The optimal scheme for R (Q = 293.17 m3/d, a = 6.09 m, L = 7.28 m) and optimal scheme for Pr (Q = 300 m3/d, a = 3.64 m, L = 1 m) were obtained. The combination of numerical simulations and machine learning is an effective tool for optimizing and predicting the GCW remediation effect.
A machine learning approach to classifying New York Heart Association (NYHA) heart failure
Authors: Jandy Krystian , Weichbroth Pawel 
Published: May 2024

AbstractAccording to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional Classification. Each NYHA class describes a patient’s symptoms while performing physical activities, delivering a strong indicator of the heart performance. In each case, a NYHA class is individually determined routinely based on the subjective assessment of the treating physician. However, such diagnosis can suffer from bias, eventually affecting a valid assessment. To tackle this issue, we take advantage of the machine learning approach to develop a decision-tree, along with a set of decision rules, which can serve as additional blinded investigator tool to make unbiased assessment. On a dataset containing 434 observations, the supervised learning approach was initially employed to train a Decision Tree model. In the subsequent phase, ensemble learning techniques were utilized to develop both the Voting Classifier and the Random Forest model. The performance of all models was assessed using 10-fold cross-validation with stratification.The Decision Tree, Random Forest, and Voting Classifier models reported accuracies of 76.28%, 96.77%, and 99.54% respectively. The Voting Classifier led in classifying NYHA I and III with 98.7% and 100% accuracy. Both Random Forest and Voting Classifier flawlessly classified NYHA II at 100%. However, for NYHA IV, Random Forest achieved a perfect score, while the Voting Classifier reported 90%. The Decision Tree showed the least effectiveness among all the models tested. In our opinion, the results seem satisfactory in terms of their supporting role in clinical practice. In particular, the use of a machine learning tool could reduce or even eliminate the bias in the physician’s assessment. In addition, future research should consider testing other variables in different datasets to gain a better understanding of the significant factors affecting heart failure.
Focal adhesions are controlled by microtubules through local contractility regulation
Authors: Aureille Julien , Prabhu Srinivas S , Barnett Sam F , Farrugia Aaron J , Arnal Isabelle , Lafanechère Laurence , Low Boon Chuan , Kanchanawong Pakorn , Mogilner Alex , Bershadsky Alexander D 
Published: May 2024

AbstractMicrotubules regulate cell polarity and migration via local activation of focal adhesion turnover, but the mechanism of this process is insufficiently understood. Molecular complexes containing KANK family proteins connect microtubules with talin, the major component of focal adhesions. Here, local optogenetic activation of KANK1-mediated microtubule/talin linkage promoted microtubule targeting to an individual focal adhesion and subsequent withdrawal, resulting in focal adhesion centripetal sliding and rapid disassembly. This sliding is preceded by a local increase of traction force due to accumulation of myosin-II and actin in the proximity of the focal adhesion. Knockdown of the Rho activator GEF-H1 prevented development of traction force and abolished sliding and disassembly of focal adhesions upon KANK1 activation. Other players participating in microtubule-driven, KANK-dependent focal adhesion disassembly include kinases ROCK, PAK, and FAK, as well as microtubules/focal adhesion-associated proteins kinesin-1, APC, and αTAT. Based on these data, we develop a mathematical model for a microtubule-driven focal adhesion disruption involving local GEF-H1/RhoA/ROCK-dependent activation of contractility, which is consistent with experimental data.
New Hyperacusis Therapy Combines Psychoeducation, Sound Exposure, and Counseling
Authors: Thieren Sandrien , van Dommelen Paula , Benard Michel R. 
Published: May 2024

Purpose:
The aim of this study was to investigate the short- and long-term effects of a new cognitive sound exposure therapy (CSET) in patients with hyperacusis.

Method:
A new therapy was developed to reduce hyperacusis using sound exposure combined with breathing and relaxation strategies from both acceptance and commitment therapy and cognitive behavioral therapy. Patients who were referred to the Speech and Hearing Centers located in Hengelo and Zwolle in the Netherlands and aged ≥ 18 years with hyperacusis as main complaint and no or mild hearing loss were included in this study. Patients were seen for CSET between June 2020 and August 2022. The sessions took place biweekly. Sessions ended when exposure reached a level with a maximum of 70–80 dB SPL. Short-term effects between the start and the end of therapy were based on tolerable level of sound exposure (dB SPL), subjective-level hinderance of hyperacusis, and sensitivity to sound using the Hyperacusis Questionnaire (HQ). The long-term effect was based on HQ 6 months after the end of therapy. Linear mixed-effects and regression models were applied to study outcomes over time.

Results:

In total, 30 patients, 15 men and 15 women, aged between 24 and 76 years were included in this study. The mean number of sessions during therapy was 6 and ranged between 4 and 8. Results showed an increase of exposure level (mean change was +23.7 dB with an
SD
of 7.9,
p
< .001), a decrease in sensitivity to daily sounds (mean [
SD
] change was −1.6 [2.1],
p
< .001), and a decrease in HQ (mean [
SD
] change was −9.8 [4.9],
p
< .001), between the start and the end of therapy. There was no significant change in HQ after the end of therapy and 6 months later; mean (
SD
) change was 0.2 (4.3),
p
= .81.

Conclusions:
The evaluation of CSET indicated a decrease in short- and long-term sensitivity to sound in patients with hyperacusis. Additionally, CSET has shown a positive impact, not only for the sounds used in the therapy sessions but also in transferring benefits to everyday sounds. The results of combining psychoeducation, sound exposure, and counseling are promising and warrant further evaluation.
Circulating Blood Biomarkers and Risk of Venous Thromboembolism in Cancer Patients: A Systematic Review and Meta-Analysis
Authors: Roy Danielle Carole , Wang Tzu-Fei , Lun Ronda , Zahrai Amin , Mallick Ranjeeta , Burger Dylan , Zitikyte Gabriele , Hawken Steven , Wells Philip 
Published: May 2024

Background Cancer patients have an increased risk of venous thromboembolism (VTE). Currently, the availability of highly discriminatory prediction models for VTE in cancer patients is limited. The implementation of biomarkers in prediction models might lead to refined VTE risk prediction. In this systematic review and meta-analysis, we aimed to evaluate candidate biomarkers and their association with cancer-associated VTE.
Methods We searched Medline, EMBASE, and Cochrane Central for studies that evaluated biomarkers in adult cancer patients from inception to September 2022. We included studies reporting on VTE after a cancer diagnosis with biomarker measurements performed at a defined time point. Median/mean differences (for continuous measures) and odds ratios (for dichotomous measures) with 95% confidence intervals were estimated and pooled using random-effects models.
Results We included 113 studies in the systematic review. Of these, 50 studies were included in the meta-analysis. We identified two biomarkers at cancer diagnosis (factor VIII and time to peak thrombin), three biomarkers pre-chemotherapy (D-dimer, fibrinogen, and mean platelet volume), and one biomarker preoperatively (platelet count) that had significant median or mean differences. Additionally, we found that hemoglobin <100 g/L and white blood count >11 × 109/L were significantly associated with future VTE risk only when measured at cancer diagnosis. Pre-chemotherapy neutrophil-to-lymphocyte ratio ≥3 and preoperative platelet count ≥400 × 109/L were also found to be associated with future VTE risk.
Conclusion In conclusion, this study identified nine candidate blood biomarkers that may help in optimizing VTE prediction in cancer patients that should be further explored in future studies.
Patellar Instability: Imaging Findings
Authors: De Leeuw Anthony , Abidi Souhir , Scarciolla Laura , Petersbourg Dunkan , Putman Sophie , Cotten Anne 
Published: May 2024

AbstractPatellofemoral instability results from impaired engagement of the patella in the trochlear groove at the start of flexion and may lead to pain and lateral patellar dislocation. It occurs most frequently in adolescents and young adults during sporting activities. Trochlear dysplasia, patella alta, and excessive lateralization of the tibial tuberosity are the most common risk factors for patellar instability. The main role of imaging is to depict and assess these anatomical factors and highlight features indicating previous lateral dislocation of the patella.
Role of grain interface on dielectric and multiferroic properties of 0-3 type (x)CoFe2O4–(1−x)Ba0.8Sr0.2TiO3 nanocomposites
Authors: Shukla Anant , Mallick Jyotirekha , Datta Subhadeep , Dev Amar , Das Tupan , Kar Manoranjan 
Published: May 2024

The (x)CoFe2O4–(1−x)Ba0.8Sr0.2TiO3 (0-3 type particulate) nanocomposites with x = 0.00, 0.02, 0.04, 0.06, 0.08, and 1.00 were prepared by the solid-state method. Cobalt ferrite crystallized into cubic crystal symmetry with an Fd3̄m space group. Strontium-substituted barium titanate crystallized into a tetragonal crystal structure with a P4mm space group. Field emission scanning electron microscopy and transmission electron microscopy techniques show the distribution of different sizes of particle. Polarization vs electric field curves show the highest maximum polarization (Pm) of 10.26 μC/cm2, remnant magnetization (Pr) of 11.70 μC/cm2, and coercivity (Ec) of 19.95 kV/cm for x = 0.04 composition at 35 kV/cm. However, it is smaller than the Ba0.8Sr0.2TiO3 phase (Pm = 16.86 μC/cm2, Pr = 13.20 μC/cm2, and EC = 10.80 kV/cm). The highest dielectric constant of around 9800 was found for x = 0.04 composition, with a very small dielectric loss factor of about 0.02, i.e., less than even 2%. This is ∼10 times compared to that of Ba0.8Sr0.2TiO3 (BSTO), which has been explained by considering interaction at the interface of CoFe2O4 (CFO) and BSTO, leakage current, and variation of the lattice parameter of BSTO in (x)CoFe2O4–(1−x)Ba0.8Sr0.2TiO3 nanocomposite. The magnetic hysteresis loops show squeezing near the origin. The magnetic parameters like coercivity, remnant magnetization, and saturation magnetization increased with the increase in the CoFe2O4 weight fraction. Magnetic interaction between surfaces of magnetic CFO and non-magnetic BSTO is evident from the ΔH vs M plots, and it also evidences the magnetism at the surface of BSTO due to uncompensated spins.
Interventions aimed at increasing syphilis screening among non-pregnant individuals in healthcare settings: a systematic review and meta-analysis
Authors: Moncrieff Leah , O’Reilly Morgan , Hall Leanne , Heal Clare 
Published: May 2024

Syphilis remains a pressing public health concern with potential severe morbidity if left untreated. To improve syphilis screening, targeted interventions are crucial, especially in at-risk populations. This systematic review synthesises studies that compare syphilis screening in the presence and absence of an intervention. A systematic search of four databases was conducted (Medline, Embase, Cinahl and Scopus). The primary outcomes evaluated included syphilis screening, re-screening and detection rates. Findings were synthesised narratively. Where multiple studies were clinically heterogenous, a pooled odds ratio was calculated. Twenty-four studies were included. A variety of interventions showed promise including clinician alerts, which increased syphilis screening rate (OR range, 1.25–1.45) and patient SMS reminders that mostly improved re-screening/re-attendance rates (OR range, 0.93–4.4). Coupling syphilis serology with routine HIV monitoring increased the proportion of HIV-positive individuals undergoing both tests. However, pooling three studies with this intervention using the outcome of syphilis detection rate yielded inconclusive results (pooled OR 1.722 [95% CI 0.721–2.723], I2 = 24.8%, P = 0.264). The introduction of hospital-based packaged testing for screening high-risk individuals is unique given hospitals are not typical locations for public health initiatives. Nurse-led clinics and clinician incentives were successful strategies. Including syphilis screening with other existing programs has potential to increase screening rates (OR range, 1.06–2.08), but requires further investigation. Technology-driven interventions produced cost-effective, feasible and positive outcomes. Challenges were evident in achieving guideline-recommended screening frequencies for men who have sex with men, indicating the need for multifaceted approaches. Wider application of these interventions may improve syphilis screening and detection rates.