bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sildenafil and furosemide nanoparticles as a novel pharmacological treatment for acute renal failure in rats
Authors: Sabra Mahmoud S. , Allam Essmat A. H. , Hassanein Khaled M. Ahmed 
Published: May 2024

AbstractHospitalized patients often develop acute renal failure (ARF), which causes severe morbidity and death. This research investigates the potential renoprotective benefits of sildenafil and furosemide in glycerol-induced ARF, and measures kidney function metrics in response to nanoparticle versions of these medications. Inducing ARF is commonly done by injecting 50% glycerol intramuscularly. Rats underwent a 24-h period of dehydration and starvation before slaughter for renal function testing. We investigated urine analysis, markers of oxidative stress, histology of kidney tissue, immunohistochemistry analysis of caspase-3 and interleukin-1 beta (IL-1 β), kidney injury molecule-1 (KIM-1), and neutrophil gelatinase–associated lipocalin (NGAL), which are specific indicators of kidney tissue damage. The results of our study showed that the combination of sildenafil and furosemide, using both traditional and nanoparticle formulations, had a greater protective effect on the kidneys compared to using either drug alone. The recovery of renal tissue indicators, serum markers, and urine markers, which are indicative of organ damage, provides evidence of improvement. This was also indicated by the reduction in KIM-1 and NGAL tubular expression. The immunohistochemistry tests showed that the combination therapy, especially with the nanoforms, greatly improved the damaged cellular changes in the kidneys, as shown by higher levels of caspase-3 and IL-1β. According to the findings, a glycerol-induced rat model demonstrates that sildenafil and furosemide, either alone or in combination, in conventional or nanoparticulate forms, improve ARF dysfunction. The synergistic nanoparticulate compositions show remarkable effectiveness. This observation highlights the possible therapeutic implications for ARF treatment.
Valorization of plant proteins for meat analogues design—a comprehensive review
Authors: Siddiqui Shahida Anusha , Khalifa Ibrahim , Yin Tao , Morsy Mohamed K. , Khoder Ramy M. , Salauddin Molla , Farzana Wasiya , Sharma Sonu , Khalid Nauman 
Published: May 2024

AbstractAnimal proteins from meat and its stuffs have recently been one of main concerns in the drive for sustainable food production. This viewpoint suggests that there are exciting prospects to reformulate meat products that are produced more sustainably and may also have health benefits by substituting high-protein nonmeat ingredients for some of the meat. Considering these pre-existing conditions, this review critically reviews recent data on extenders from several sources, including pulses, plant-based components, plant byproducts, and unconventional sources. We used the related keywords from Scopus-database without limiting the publishing date. With an emphasis on how these findings may impact the sustainability of meat products, it sees them as a great chance to enhance the functional quality and technological profile of meat. Therefore, to promote sustainability, meat alternatives such as plant-based meat equivalents are being made available. To boost consumer acceptability of these goods, further initiatives should also be developed to enhance the functioning of these innovative food items and increase public knowledge of plant-based meat analogues.
A comparative analysis of the puncturing abilities of cephalopod beak rostra using engineering tools
Authors: Wang Simeng , Didziokas Marius , Roscian Marjorie , Evans Susan , Rouget Isabelle , Herrel Anthony , Moazen Mehran , Souquet Louise 
Published: May 2024

AbstractCephalopods, a diverse class of carnivorous marine predators, exhibit a wide range of feeding behaviours and foraging strategies related to their lifestyle, habitat and morphological adaptations. Their beaks play a crucial role in capturing and processing prey. This study investigates the link between the shape of the rostrum of cephalopod beaks and their function through a mix of experimental and computational approaches. Fourteen upper beak rostrum models from a range of cephalopod species, representing their morphological and ecological diversity, were 3D-printed, and subjected to uniaxial puncture tests. Force and displacement were recorded to estimate puncture ability. Finite Element Analysis (FEA) was used to explore the form–function relationship under loading conditions mimicking biting and pulling, analysing stress patterns across different rostrum morphologies. The results show that rostrum size significantly influenced puncture performance, with smaller rostra requiring less force and displacement for puncturing. However, larger rostra exhibited higher structural stiffness, suggesting increased vulnerability to stress during biting. Morphology-driven tests demonstrated species-specific differences in puncture abilities, with rostrum sharpness playing a crucial role. FEA results further indicated that longer and sharper rostra were more susceptible to stress, potentially impacting their overall structural integrity. The findings highlight the trade-off between rostrum size and sharpness in cephalopod beaks, with implications for prey selection and feeding efficiency. The study contributes to understanding the morpho-functional aspects of cephalopod beaks and their role in prey capture and consumption, shedding light on the evolutionary pressures shaping these remarkable marine predators.
Design and Validation of Primer Sets for the Detection and Quantification of Antibiotic Resistance Genes in Environmental Samples by Quantitative PCR
Authors: Perez-Bou Lizandra , Gonzalez-Martinez Alejandro , Cabrera Juan J. , Juarez-Jimenez Belen , Rodelas Belen , Gonzalez-Lopez Jesus , Correa-Galeote David 
Published: May 2024

AbstractThe high prevalence of antibiotic resistant bacteria (ARB) in several environments is a great concern threatening human health. Particularly, wastewater treatment plants (WWTP) become important contributors to the dissemination of ARB to receiving water bodies, due to the inefficient management or treatment of highly antibiotic-concentrated wastewaters. Hence, it is vital to develop molecular tools that allow proper monitoring of the genes encoding resistances to these important therapeutic compounds (antibiotic resistant genes, ARGs). For an accurate quantification of ARGs, there is a need for sensitive and robust qPCR assays supported by a good design of primers and validated protocols. In this study, eleven relevant ARGs were selected as targets, including aadA and aadB (conferring resistance to aminoglycosides); ampC, blaTEM, blaSHV, and mecA (resistance to beta-lactams); dfrA1 (resistance to trimethoprim); ermB (resistance to macrolides); fosA (resistance to fosfomycin); qnrS (resistance to quinolones); and tetA(A) (resistance to tetracyclines). The in silico design of the new primer sets was performed based on the alignment of all the sequences of the target ARGs (orthology grade > 70%) deposited in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, allowing higher coverages of the ARGs’ biodiversity than those of several primers described to date. The adequate design and performance of the new molecular tools were validated in six samples, retrieved from both natural and engineered environments related to wastewater treatment. The hallmarks of the optimized qPCR assays were high amplification efficiency (> 90%), good linearity of the standard curve (R2 > 0.980), repeatability and reproducibility across experiments, and a wide linear dynamic range. The new primer sets and methodology described here are valuable tools to upgrade the monitorization of the abundance and emergence of the targeted ARGs by qPCR in WWTPs and related environments.
Role of radiomics as a predictor of disease recurrence in ovarian cancer: a systematic review
Authors: O’Sullivan Niall J. , Temperley Hugo C. , Horan Michelle T. , Kamran Waseem , Corr Alison , O’Gorman Catherine , Saadeh Feras , Meaney James M. , Kelly Michael E. 
Published: May 2024

AbstractOvarian cancer is associated with high cancer-related mortality rate attributed to late-stage diagnosis, limited treatment options, and frequent disease recurrence. As a result, careful patient selection is important especially in setting of radical surgery. Radiomics is an emerging field in medical imaging, which may help provide vital prognostic evaluation and help patient selection for radical treatment strategies. This systematic review aims to assess the role of radiomics as a predictor of disease recurrence in ovarian cancer. A systematic search was conducted in Medline, EMBASE, and Web of Science databases. Studies meeting inclusion criteria investigating the use of radiomics to predict post-operative recurrence in ovarian cancer were included in our qualitative analysis. Study quality was assessed using the QUADAS-2 and Radiomics Quality Score tools. Six retrospective studies met the inclusion criteria, involving a total of 952 participants. Radiomic-based signatures demonstrated consistent performance in predicting disease recurrence, as evidenced by satisfactory area under the receiver operating characteristic curve values (AUC range 0.77–0.89). Radiomic-based signatures appear to good prognosticators of disease recurrence in ovarian cancer as estimated by AUC. The reviewed studies consistently reported the potential of radiomic features to enhance risk stratification and personalise treatment decisions in this complex cohort of patients. Further research is warranted to address limitations related to feature reliability, workflow heterogeneity, and the need for prospective validation studies.
Machine learning algorithm predicts urethral stricture following transurethral prostate resection
Authors: Altıntaş Emre , Şahin Ali , Babayev Huseyn , Gül Murat , Batur Ali Furkan , Kaynar Mehmet , Kılıç Özcan , Göktaş Serdar 
Published: May 2024

Abstract
Purpose
To predict the post transurethral prostate resection(TURP) urethral stricture probability by applying different machine learning algorithms using the data obtained from preoperative blood parameters.

Methods
A retrospective analysis of data from patients who underwent bipolar-TURP encompassing patient characteristics, preoperative routine blood test outcomes, and post-surgery uroflowmetry were used to develop and educate machine learning models. Various metrics, such as F1 score, model accuracy, negative predictive value, positive predictive value, sensitivity, specificity, Youden Index, ROC AUC value, and confidence interval for each model, were used to assess the predictive performance of machine learning models for urethral stricture development.

Results
A total of 109 patients’ data (55 patients without urethral stricture and 54 patients with urethral stricture) were included in the study after implementing strict inclusion and exclusion criteria. The preoperative Platelet Distribution Width, Mean Platelet Volume, Plateletcrit, Activated Partial Thromboplastin Time, and Prothrombin Time values were statistically meaningful between the two cohorts. After applying the data to the machine learning systems, the accuracy prediction scores for the diverse algorithms were as follows: decision trees (0.82), logistic regression (0.82), random forests (0.91), support vector machines (0.86), K-nearest neighbors (0.82), and naïve Bayes (0.77).

Conclusion
Our machine learning models’ accuracy in predicting the post-TURP urethral stricture probability has demonstrated significant success. Exploring prospective studies that integrate supplementary variables has the potential to enhance the precision and accuracy of machine learning models, consequently progressing their ability to predict post-TURP urethral stricture risk.
Postural motion perception during vestibular stimulation depends on the motion perception threshold in persistent postural-perceptual dizziness
Authors: Helmchen Christoph , Blüm Smila-Karlotta , Storm Renana , Krause Janina , Sprenger Andreas 
Published: May 2024

AbstractPatients with persistent postural-perceptual dizziness (PPPD) perceive postural instability larger than the observed sway. It is unknown whether the concept of postural misperception prevails during vestibular stimulation and whether it may account for the unsteadiness patients complain during body movements. We tested the hypothesis of an abnormal sensory-perceptual scaling mechanism in PPPD by recording objective, perceived, and the reproduced postural sway under various standing conditions, modulating visual and proprioceptive input, by binaural galvanic vestibular stimulation (GVS). We related postural sway speed to individual vestibular motion perceptional thresholds and disease-related PPPD questionnaires in 32 patients and 28 age-matched healthy control subjects (HC). All participants showed normal vestibular function tests on quantitative testing at the time of enrollment. The perception threshold of GVS was lower in patients. Compared to HC, patients showed and perceived larger sway on the firm platform. With GVS, posturo-perceptual ratios did not show group differences. The ratio of reproduced to real postural sway showed no group differences indicating normal postural sway perception during vestibular stimulation. Noticeably, only in patients, reproduced postural instability became larger with lower individual thresholds of vestibular motion detection. We conclude that posturo-perceptual (metacognitive) scaling of postural control seems to be largely preserved in PPPD during GVS. Vestibular stimulation does not destabilize patients more than HC, even in challenging postural conditions. Low individual thresholds of vestibular motion perception seem to facilitate instability and postural misperception on solid grounds. This conclusion is important for an effective physical therapy with vestibular exercises in PPPD.
Diagnostic accuracy of contrast-enhanced computed tomography in assessing bone invasion in patients with oral squamous cell carcinoma
Authors: Struckmeier Ann-Kristin , Buchbender Mayte , Agaimy Abbas , Kesting Marco 
Published: May 2024

Abstract
Objectives
This study aimed to evaluate the diagnostic accuracy of contrast-enhanced computed tomography (CT) in detecting bone invasion in oral squamous cell carcinoma (OSCC) patients and to explore clinicopathological factors associated with its reliability.

Materials and methods
417 patients underwent preoperative contrast-enhanced CT followed by radical surgery. The presence or absence of bone invasion served as the outcome variable, with histopathologic examination of the resection specimen considered the gold standard. Statistical analyses, comprising correlation analyses and the determination of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were conducted.

Results
CT exhibited 76.85% sensitivity, 82.20% specificity, 47.14% PPV, and 89.67% NPV. False-positive and false-negative rates were 11.27% and 5.99%, respectively. Artifacts affected assessment in 44 patients, but not in those with bone invasion. Tumor size, depth of invasion (DOI), tumor localization at the upper jaw, lymphatic invasion, and perineural invasion correlated with incorrect identification of bone invasion (Chi-square, p < 0.05).

Conclusions
Despite utilizing thin-section CT, notable false-positive and false-negative results persisted. Patients with T3 tumors, DOI ≥ 10 mm, or upper jaw tumors are at higher risk for misidentification of bone invasion. Combining multiple methods may enhance diagnostic accuracy, and the integration of artificial intelligence or tracking electrolyte disturbances by tumor depth profiling shows promise for further assessment of bone invasion before histopathology.

Clinical relevance
Surgeons should consider these insights when planning tumor resection. Supplementary imaging may be warranted in cases with high risk factors for misidentification. Further methodological advancements are crucial for enhancing diagnostic precision.
Mind it! A mindfulness-based group psychotherapy for substance use disorders in adolescent inpatients
Authors: Legenbauer Tanja , Baldus Christiane , Jörke Carina , Kaffke Lara , Pepic Amra , Daubmann Anne , Zapf Antonia , Holtmann Martin , Arnaud Nicolas , Thomasius Rainer ,   the IMAC-Mind Consortium
Published: May 2024

AbstractCannabis use disorder (CUD) is the most frequent reason for psychiatric inpatient substance use disorder (SUD) treatment among 15–19-year-olds in Germany. Despite effective treatment programs, relapse rates remain high. Thus, existing multi-component programs (TAU) need to be enhanced with SUD-specific elements. Mindfulness-based interventions (MBI) seem promising as they can positively influence SUD-related behaviors (e. g. craving). Given limited research in adolescents, this randomized controlled trial investigated the extent to which MBI-based group therapy (Mind it!) as an add-on treatment to TAU led to fewer cannabis use days after 6 months in 84 adolescent inpatients with CUD. Additionally, craving, severity of CUD, and changes in mindfulness were monitored (pre-, post-, and follow-up (FU) assessments). The results revealed a significant reduction in cannabis use days in both groups at 6-month FU (d = − 0.72 and = − 0.75). Although minor additional benefits of Mind it! were evident post-treatment, specifically reduction of craving and SUD severity, by the 6-month mark, TAU exhibited a more substantial decrease in SUD severity (d = 0.78), and reward craving (d = 0.28) compared to Mind it!. Regarding self-regulation skills (mindfulness), Mind it! demonstrated superiority over TAU after 6-month FU (d = 0.27). Therapists judged the MBI as feasible. (Serious) adverse events were unrelated to Mind it!. There was a systematic dropout among Mind it! participants. Primarily, the results emphasize the effectiveness of TAU in reducing cannabis use. MBI also seem feasible for youth, but results remain inconsistent and unstable over time. Importantly, enhanced adherence to reduce dropouts is needed.Trial registration: German Clinical Trials Register, DRKS00014041. Registered on 17 April 2018.
In Defence of the Indefensible: Exploring Justification Narratives of Corporate Elites Accused of Corruption
Authors: Torbor Mabel , Sarpong David , Ofosu George , Boakye Derrick 
Published: May 2024

Abstract
Drawing on the pragmatic turn in contemporary social theory, we explore how corporate elites accused of corruption in the context of weak institutions engage in their justification works. Empirically, we focus on three high-profile corruption scandals that shook Ghana between 2010 and 2020 and inspired widespread public condemnation. Publicly accessible archival documents, such as court reporting, newspaper stories, press conferences, and the digital footprints of corporate elites implicated in the scandals provide data for our inquiry. Focussing on the juxtaposition of ‘sayings’ and ‘doings’, the findings show justification as performative, and rooted in contextual pragmatism that acknowledges the plurality of logics situated between self-interest and folk-logic. Within this framework, the domestic and civic orders of worth emerge as most prominent, with the justification processes manifesting through victimising, scapegoating, and crusading. Building on these insights, we develop a framework that highlights how the use of justifications serves as a critique of the inadequacies within climates of weak institutional frameworks consequently fostering an atmosphere conducive to framing unethical conducts as morally acceptable.
Dose-dependent effects of gamma radiation sterilization on the collagen matrix of human cortical bone allograft and its influence on fatigue crack propagation resistance
Authors: Crocker Dylan B. , Hering Thomas M. , Akkus Ozan , Oest Megan E. , Rimnac Clare M. 
Published: May 2024

AbstractFatigue crack propagation resistance and high-cycle S–N fatigue life of cortical bone allograft tissue are both negatively impacted in a radiation dose-dependent manner from 0 to 25 kGy. The standard radiation sterilization dose of 25–35 kGy has been shown to induce cleavage of collagen molecules into smaller peptides and accumulation of stable crosslinks within the collagen matrix, suggesting that these mechanisms may influence radiation-induced losses in cyclic fracture resistance. The objective of this study was to determine the radiation dose-dependency of collagen chain fragmentation and crosslink accumulation within the dose range of 0–25 kGy. Previously, cortical bone compact tension specimens from two donor femoral pairs were divided into four treatment groups (0 kGy, 10 kGy, 17.5 kGy, and 25 kGy) and underwent cyclic loading fatigue crack propagation testing. Following fatigue testing, collagen was isolated from one compact tension specimen in each treatment group from both donors. Radiation-induced collagen chain fragmentation was assessed using SDS-PAGE (n = 5), and accumulation of pentosidine, pyridinoline, and non-specific advanced glycation end products were assessed using a fluorometric assay (n = 4). Collagen chain fragmentation increased progressively in a dose-dependent manner (p < 0.001). Crosslink accumulation at all radiation dose levels increased relative to the 0 kGy control but did not demonstrate dose-dependency (p < 0.001). Taken together with our previous findings on fatigue crack propagation behavior, these data suggest that while collagen crosslink accumulation may contribute to reduced notched fatigue behavior with irradiation, dose-dependent losses in fatigue crack propagation resistance are mainly influenced by radiation-induced chain fragmentation.
Salinity stress mitigation by radicular and foliar humic substances application in lettuce plants
Authors: Atero-Calvo Santiago , Magro Francesco , Masetti Giacomo , Navarro-León Eloy , Blasco Begoña , Ruiz Juan Manuel 
Published: May 2024

AbstractSalinity stress constitutes one of the main abiotic stresses that considerably reduces crop yield. An approach to enhance plant growth under salt stress involves the addition of humic substances (HS) to roots or leaves. Here, we evaluated the potential use of BLACKJAK®, an HS-based product, to enhance salt tolerance in lettuce (Lactuca sativa L.). For this aim, plants were exposed to salinity (100 mM NaCl), salinity + HS: radicular (R)-HS (0.40 mL/L and 0.60 mL/L) and foliar (F)-HS (7.50 mL/L and 10.00 mL/L), along with a control (without NaCl). Parameters related to plant growth, Na+ and K+ accumulation, photosynthetic activity, oxidative stress, enzymatic and non-enzymatic antioxidants, as well as proline levels were evaluated. Results showed that R and F-HS considerably enhanced salinity tolerance. In addition, F-HS offered a greater improvement of plant growth in relation to shoot fresh weight, shoot relative growth rate, and foliar area, being 10.00 mL/L the best dose. This tolerance could be associated with reduced Na+ translocation to the shoot and enhanced shoot K+ accumulation, decreasing Na+/K+ ratio. Furthermore, HS improved the net photosynthetic rate, Rubisco carboxylation efficiency, and photosystem II performance, and reduced ROS levels and lipid peroxidation. Hence, our data show the potential use of BLACKJAK® to improve lettuce tolerance to salinity, with foliar application slightly better than radicular to achieve this aim, especially at 10.00 mL/L dose.