bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urinary concentration of selected nonpersistent endocrine disrupting chemicals—reproductive outcomes among women from a fertility clinic
Authors: Radwan Paweł , Wielgomas Bartosz , Radwan Michał , Krasiński Rafał , Bujak-Pietrek Stella , Polańska Kinga , Kilanowicz Anna , Jurewicz Joanna 
Published: January 2023

AbstractParabens and benzophenones are compounds widely used in cosmetics and personal care products. Although human exposure is widespread there is a limited number of epidemiological studies assessing the relationship between exposure to these chemicals and female reproductive health. The aim of the study is to explore the relationship between paraben and benzophenone concentrations and reproductive outcomes among women attending a fertility center. This prospective cohort included 450 women undergoing in vitro treatment (IVF) at fertility clinic in Poland. The validated gas chromatography ion-tap mass spectrometry to assess concentrations of parabens in urine (methyl (MP), ethyl (EP), propyl (PP), butyl paraben (BP)) and benzophenone-3 (BP-3) was used. To explore the relationship between concentrations of examined chemicals and reproductive outcomes (methaphase II (MII) oocyte yield, total oocyte yield, implantation rate, fertilization rate, clinical pregnancy, live births), multivariable generalized linear mixed model was used for the analysis. Increased exposure to butyl paraben was associated with a significant decrease in MII oocyte count (p = 0.007) when exposure to BP was treated as the continuous variable. Additionally, the exposure to BP in the highest quartile of exposure also decreases MII oocyte count (p = 0.02) compared to the lowest quartile. Urinary concentrations of BP were not related to total oocyte count, fertilization and implantation rate, clinical pregnancy, and live birth when the exposure variable was continuous variable or in the quartiles of exposure. Exposure to MP, EP, PP, the sum of examined parabens, and benzophenone-3 were not related to any of the examined reproductive outcomes. Exposure to butyl paraben was associated with a decrease in MII oocyte count among women attending fertility clinic rinsing concerns that exposure may have a potential adverse impact on embryological outcomes. The results emphasize the importance to reduce chemicals in the environment in order to minimize exposure. As this is the first study showing such an association, further research is needed to confirm these novel results in other populations.
Graphical Abstract
Strength gains after 12 weeks of resistance training correlate with neurochemical markers of brain health in older adults: a randomized control 1H-MRS study
Authors: Sheoran Samrat , Vints Wouter A. J. , Valatkevičienė Kristina , Kušleikienė Simona , Gleiznienė Rymantė , Česnaitienė Vida J. , Himmelreich Uwe , Levin Oron , Masiulis Nerijus 
Published: January 2023

Abstract
Physical exercise is considered a potent countermeasure against various age-associated physiological deterioration processes. We therefore assessed the effect of 12 weeks of resistance training on brain metabolism in older adults (age range: 60–80 years). Participants either underwent two times weekly resistance training program which consisted of four lower body exercises performed for 3 sets of 6–10 repetitions at 70–85% of 1 repetition maximum (n = 20) or served as the passive control group (n = 21). The study used proton magnetic resonance spectroscopy to quantify the ratio of total N-acetyl aspartate, total choline, glutamate-glutamine complex, and myo-inositol relative to total creatine (tNAA/tCr, tCho/tCr, Glx/tCr, and mIns/tCr respectively) in the hippocampus (HPC), sensorimotor (SM1), and prefrontal (dlPFC) cortices. The peak torque (PT at 60°/s) of knee extension and flexion was assessed using an isokinetic dynamometer. We used repeated measures time × group ANOVA to assess time and group differences and correlation coefficient analyses to examine the pre-to-post change (∆) associations between PT and neurometabolite variables. The control group showed significant declines in tNAA/tCr and Glx/tCr of SM1, and tNAA/tCr of dlPFC after 12 weeks, which were not seen in the experimental group. A significant positive correlation was found between ∆PT knee extension and ∆SM1 Glx/tCr, ∆dlPFC Glx/tCr and between ∆PT knee flexion and ∆dlPFC mIns/tCr in the experimental group. Overall, findings suggest that resistance training seems to elicit alterations in various neurometabolites that correspond to exercise-induced “preservation” of brain health, while simultaneously having its beneficial effect on augmenting muscle functional characteristics in older adults.
Fixed points and steady solitons for the two-loop renormalization group flow
Authors: García-Río E. , Mariño-Villar R. , Vázquez-Abal M. E. , Vázquez-Lorenzo R. 
Published: January 2023

AbstractSolitons for the two-loop renormalization group flow are studied in the four-dimensional homogeneous setting, providing a classification of algebraic steady four-dimensional solitons.
Heterogenitätsreflexive Interaktionsgestaltung als Herausforderung
Authors: Lochner Barbara , Rehklau Christine 
Published: January 2023

ZusammenfassungPädagogische Interaktionen weisen häufig eine hohe Nähe zu Alltagskommunikation auf. Um gesellschaftliche Ungleichheitsverhältnisse in professionellen Kontexten der Sozialen Arbeit und der Pädagogik nicht unreflektiert zu reproduzieren, ist es erforderlich, sich von den pragmatischen Zwecken der Alltagskommunikation zu lösen. Erst dann öffnet sich der Raum dafür, die in den alltäglichen Interaktionsweisen eingelagerten sozialen Positionierungen zugänglich zu machen und aufzubrechen.
Learning analytics as data ecology: a tentative proposal
Authors: Prinsloo Paul , Khalil Mohammad , Slade Sharon 
Published: January 2023

Abstract Central to the institutionalization of learning analytics is the need to understand and improve student learning. Frameworks guiding the implementation of learning analytics flow from and perpetuate specific understandings of learning. Crucially, they also provide insights into how learning analytics acknowledges and positions itself as entangled in institutional data ecosystems, and (increasingly) as part of a data ecology driven by a variety of data interests. The success of learning analytics should therefore be understood in terms of data flows and data interests informing the emerging and mutually constitutive interrelationships and interdependencies between different stakeholders, interests and power relations. This article analyses several selected frameworks to determine the extent to which learning analytics understands itself as a data ecosystem with dynamic interdependencies and interrelationships (human and non-human). Secondly, as learning analytics increasingly becomes part of broader data ecologies, we examine the extent to which learning analytics takes cognizance of the reality, the potential and the risks of being part of a broader data ecology. Finally, this article examines the different data interests vested in learning analytics and critically considers implications for student data sovereignty. The research found that most of the analyzed frameworks understand learning analytics as a data ecosystem, with very little evidence of a broader data ecological understanding. The vast majority of analyzed frameworks consider student data as valuable resource without considering student data ownership and their data rights for self-determination.
Centrifugal partition chromatography as a potential method of isolation and purification of amphiphilic substances from a solid-state fermentation process
Authors: Bochynek Michał , Hodurek Paweł , Łukaszewicz Marcin , Lewińska Agnieszka 
Published: January 2023

AbstractSeparating amphiphilic compounds from complex matrix is challenging. Surfactin, cyclic lipopeptides group, was used as a model to find the proper separation conditions and parameters. The aim of the work was to solve the emulsification plug problem in countercurrent partition chromatography (CPC). The selected solvent system was a composition of n-heptane/n-butanol/methanol/aqueous buffer (20 mM disodium phosphate with 50 mM NaCl) at a ratio of 2:3:2:3. Several elution method modifications were applied. The most important was an appropriate mobile phase flow rate adjustment (flow rate gradient), minimizing the risk of stationary phase leakage. During the CPC procedures, the hydrostatic pressure was monitored as a factor of stationary phase retention. The hydrostatic pressure indicated the biphasic system’s stability. A flow rate of 2 ml/min resulted in column stabilization and peak resolution during chromatographic separation. In order to avoid uncontrolled leakage, the flow rate was increased gradually. At 3.5 ml/min, there was a small loss of the stationary phase as the hydrostatic pressure decreased from 32 to nearly 18 bar. After designing the method, it was tested with SU containing extracts obtained from SSF to show its effectiveness. Our results showed that the single dual-mode method can be used to remove matrix’s impurities and separate surfactin as a mixture of homologues with more than 80% purity. Moreover, application of the double dual-mode method allows for the isolation of fractions containing individual surfactin homologues in amounts of about 70% of the sample, which makes it possible to conduct further biological research.
Application of nickel plating by galvanization on steel surface of brazed cemented carbide-maraging steel joints
Authors: Tillmann W. , Ulitzka T. , Dahl L. , Wojarski L. , Ulitzka H. , Koymatli M. 
Published: January 2023

Abstract
Recently, the integration of a maraging steel heat treatment into a vacuum brazing has been conducted successfully to manufacture high-strength and sound cemented carbide-steel joints with elevated mechanical properties of the steel component. Besides the use of low-melting silver-based active filler alloys and cost-intensive palladium-containing filler alloys, the application of a nickel layer on the maraging steel surface by an arc-PVD process is an adequate approach to overcome the low wettability of those steels, which is caused by high fractions of elements with a high oxygen affinity like titanium and molybdenum. Though nickel plating by arc-PVD is an elaborate and time-consuming coating process, it is not suitable for industrial applications since a high vacuum is required in the specimen chamber and only a small number of specimens can be processed at the same time.Therefore, this publication evaluates the application of nickel galvanization by chemical plating and electroplating as an alternative nickel-coating method to manufacture a brazed joint between a cemented carbide and maraging steel (1.2709) component by using the copper filler metal Cu 110 (TM = 1085 °C). The electroplated and PVD-coated reference specimens featured a sound joint from a minimum nickel layer thickness of 7.0 µm with a similar microstructure consisting mainly of a copper-based fillet and a nickel-rich phase band at the maraging steel-fillet interface. The chemical-plated specimens showed excessive diffusion between the joining partners due to the presence of melting point depressant phosphor between 10.5 and 12.0 wt.-% in the applied characteristic nickel-phosphorus layer. Consequently, titanium migration occurred from the maraging steel surface to the cemented carbide-fillet interface, and columnar iron-cobalt phases formed originating from the cemented carbide into the copper-rich fillet. Except for the specimens coated with no nickel and a 2.5-µm PVD layer, all brazed joints featured a shear strength of at least 150.0 MPa. The maximum shear strength of 344.8 MPa was achieved by electroplating the maraging steel joining surface with a 20.0-µm-thick nickel layer. Moreover, the steel heat treatment was carried out successfully since an elevated and homogenous hardness of at least 648 HV1 was measured in all steel specimens after brazing.
Optimization of combustion characteristics of novel hydrodynamic cavitation based waste cooking oil biodiesel fueled CI engine
Authors: Halwe Aboli D. , Deshmukh Samir J. , Kanu Nand Jee , Gawande Jagannath S. 
Published: January 2023

AbstractThe increment in the usage of automobiles is resulting in increased greenhouse gases (GHG) emissions continuously and there is a substantial need to reduce them effectively. The present research work investigates the emission behavior of waste cooking oil biodiesel doped with CuO nanoparticles during testing in Compression Ignition (CI) engines. This investigation is based on the effective emission reduction analysis emitted by diesel fuel during experimentation on CI engines. It suggests a cost effective modification of biodiesel as a fuel prepared from waste cooking oil (WCO) by a novel hydrodynamic cavitation technique which includes the hydrodynamic cavitation reaction mixture composed of 1.28 L of methanol and 10 g KOH and 5 L of preheated WCO at 45 °C in the cavitation reactor for 40 min. These reactants are synthesized utilizing the principle of cavitation and the final manufactured esterified oil is authenticated with ASTM Standard property measurement for suitability check. In the research work, two different investigations are carried out. In the first one, WCO biodiesel-diesel blends of 0, 30, and 100% (B0, B30, B100) ratio are prepared and the emission characteristics have investigated at 1500 rpm constant speed with varying load and indicated mean effective pressure (IMEP). In the second investigation, the emission suitable blend B30 is doped with CuO nanoparticles, keeping other parameters as per the previous setup, the emission characteristics investigated for the second one. For precise results, more experimental trials are needed to achieve this decrease in the emission of harmful gases. Using an amalgamation of L9 Taguchi and response surface methodology (RSM) the maximum emission control with a minimum number of experimental trials is achieved. The first investigation includes the predefined predictors as A (blend), B (load), and C (IMEP), where blends (0 ≤ A ≤ 100%), load (0 ≤ B ≤ 12 kg), IMEP (3.5 ≤ C ≤ 7.5 bar) are controllable features. Optimization process resulted into a minimum emission of CO, CO2, and NOx by appertaining the condemnatory merger of inputs such as blend B0 (Diesel), load 12 kg, and IMEP 3.48 bar in the first investigation, which has resulted into 0.08 ppm CO, 0.6 ppm CO2 and 30 ppm NOx emission. Taguchi analysis-based second experimental investigation includes the predefined predictors as A (CuO), B (load), and C (IMEP), including nanoparticles CuO in blend B30, and the prognosticated results of optimization are 0.03 ppm CO, 0.3 ppm CO2 and 21 ppm NOx emission. In current investigation, the percentage reduction is found to be 92.3%, 94.82%, and 96% compared to the emission of diesel in CO, CO2 and NOx gases, respectively. The coefficient of determination is almost equal to 1, which reveals the chosen optimization technique is very accurate in prediction. The investigation has provided suitable minimum emission characteristics in a cost-effective way.
Decohering tensor network quantum machine learning models
Authors: Liao Haoran , Convy Ian , Yang Zhibo , Whaley K. Birgitta 
Published: January 2023

AbstractTensor network quantum machine learning (QML) models are promising applications on near-term quantum hardware. While decoherence of qubits is expected to decrease the performance of QML models, it is unclear to what extent the diminished performance can be compensated for by adding ancillas to the models and accordingly increasing the virtual bond dimension of the models. We investigate here the competition between decoherence and adding ancillas on the classification performance of two models, with an analysis of the decoherence effect from the perspective of regression. We present numerical evidence that the fully decohered unitary tree tensor network (TTN) with two ancillas performs at least as well as the non-decohered unitary TTN, suggesting that it is beneficial to add at least two ancillas to the unitary TTN regardless of the amount of decoherence may be consequently introduced.
Minimizing the Adverse Impact of Drought on Corn by Applying Foliar Potassium Humate Combined with Chitosan
Authors: Elshamly Ayman M. S. 
Published: January 2023

AbstractPrevious studies have demonstrated the impact of potassium humate (KH) and chitosan (CH) on ameliorating drought effects, but their combined applications in promoting these benefits are still unfound. Therefore, the current study aims to evaluate the efficacy of KH and CH on corn growth, yield, nutrient contents, and water productivity under full and limited irrigation conditions. Under the drip irrigation system, a split-plot experiment was performed with three replications in the second week of February in the seasons of 2021 and 2022. The main plot was equipped with a valve and a flow emitter to control the amount of the targeted irrigation levels (full irrigation and limited irrigation from the development stage onwards), as well as four foliar applications in the subplot (0, CH 500 mg l−1, KH 3000 mg l−1, and CH 500 mg l−1 + KH 3000 mg l−1). It was found that separate foliar applications of KH or combined foliar applications of KH + CH had a significant impact on the most examined traits. However, compared to the control, adopting limited irrigation and applying combined applications thereof have significantly increased iron, zinc, manganese, oil, protein, yield, and water productivity. In addition, this combination decreased proline, and the maximum reduction was observed for the combined application with adopting full irrigation. In arid regions, the researcher recommends treating stressed plants with combined foliar applications of KH + CH, which could help plants overcome the negative effects of drought and attain the highest yield and water productivity.
Automated Clustering Technique (ACT) for Early Onset Scoliosis: A preliminary report
Authors: Viraraghavan Girish , Cahill Patrick J. , Vitale Michael G. , Williams Brendan A. ,   Pediatric Spine Study Group, Balasubramanian Sriram 
Published: January 2023

Abstract
Purpose
While the C-EOS system helps organize and classify Early Onset Scoliosis (EOS) pathology, it is not data-driven and does not help achieve consensus for surgical treatment. The current study aims to create an automated method to cluster EOS patients based on pre-operative clinical indices.

Methods
A total of 1114 EOS patients were used for the study, with the following distribution by etiology: congenital (240), idiopathic (217), neuromuscular (417), syndromic (240). Pre-operative clinical indices used for clustering were age, major curve (Cobb) angle, kyphosis, number of levels involved in a major curve (Cobb angle) and kyphosis along with deformity index (defined as the ratio of major Cobb angle and kyphosis). Fuzzy C-means clustering was performed for each etiology individually, with one-way ANOVA performed to assess statistical significance (p < 0.05).

Results
The automated clustering method resulted in three clusters per etiology as the optimal number based on the highest average membership values. Statistical analyses showed that the clusters were significantly different for all the clinical indices within and between etiologies. Link to the ACT-EOS web application: https://biomed.drexel.edu/labs/obl/toolkits/act-eos-application.

Conclusion
An automated method to cluster EOS patients based on pre-operative clinical indices was developed identifying three unique, data-driven subgroups for each C-EOS etiology category. Adoption of such an automated clustering framework can help improve the standardization of clinical decision-making for EOS.
Print Networks, Manuscript Pamphleteering, and the Development of Prison Politics in Seventeenth-Century London
Authors: Bell Richard Thomas 
Published: January 2023

AbstractThe 1622 publication of Imprisonment of Mens Bodies for Debt marked the beginning of a decades-long tradition of anti-carceral activism in London's prisons. By recovering prison activists’ practices of publication and republication, the article reveals a vibrant world of textual production in prisons that enabled political interventions grounded in the material and structural conditions of incarceration. Anti-carceral activism relied on the varied uses of print and manuscript that formed part of the day-to-day experience of incarceration. These local practices were combined with new processes of national political communication, from parliamentary petitioning and news printing in the 1620s, to manuscript pamphleteering and the demand for legal texts in the 1630s, and the explosion of radical printing and political agitation in the 1640s. Operating at the intersection of quotidian textual practice and developing forms of political communication, prison activism became engaged in wider currents of national debate. Thus, the article demonstrates how a relatively marginal social constituency could utilize these modes and networks of political communication across multiple media and how, in turn, such groups could both develop connections to radical political networks and come to imagine their cause as part of a wider political moment.
Gender Inequality and Biological Supremacy: A Sex Equality Analysis of Patrick Parkinson’s “Neutral” Proposal
Authors: Gilreath Shannon 
Published: January 2023

AbstractIn this essay, a response to an article by Patrick Parkinson, Shannon Gilreath disputes Parkinson’s claim that religiously motivated discrimination against transgender people should be the subject of special exceptions to prevailing antidiscrimination law, especially where the transgender person does not seek to conform to the traditional male/female gender binary. Gilreath maps the ways in which Parkinson’s proposal is an argument for biological superiority, which has been the rationalization for systematic and systemic social inferiority throughout history, including most notably in the contexts of race, gender, and sexuality oppression. In concluding that Parkinson’s proposal is little more than a restatement of the faulty differences-based approach to equality through law, Gilreath ultimately concludes that its principles are wholly inconsistent with the legitimate purposes of antidiscrimination law.
Holocene evolution of parabolic dunes, White River Badlands, South Dakota, USA, revealed by high-resolution mapping
Authors: Baldauf Paul Evans , Baker Gregory S. , Miles Maraina L. , Burkhart Patrick A. , Gontz Allen , Rinka Madelyn , Levenson Michael 
Published: January 2023

AbstractThe White River Badlands (WRB) of South Dakota record eolian activity spanning the late Pleistocene through the latest Holocene (21 ka to modern), reflecting the effects of the last glacial period and Holocene climate fluctuations (Holocene Thermal Maximum, Medieval Climate Anomaly, and Little Ice Age). The WRB dune fields are important paleoclimate indicators in an area of the Great Plains with few climate proxies. The goal of this study is to use 1 m/pixel-resolution digital elevation models from drone imagery to distinguish Early to Middle Holocene parabolic dunes from Late Holocene parabolic dunes. Results indicate that relative ages of dunes are distinguished by slope and roughness (terrain ruggedness index). Morphological differences are attributed to postdepositional wind erosion, soil formation, and mass wasting. Early to Middle Holocene and Late Holocene paleowind directions, 324°± 13.1° (N = 7) and 323° ± 3.0° (N = 19), respectively, are similar to the modern wind regime. Results suggest significant landscape resilience to wind erosion, which resulted in preservation of a mosaic of Early and Late Holocene parabolic dunes. Quantification of dune characteristics will help refine the chronology of eolian activity in the WRB, provide insight into drought-driven landscape evolution, and integrate WRB eolian activity in a regional paleoenvironmental context.