bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of positive cervical cancer screening among reproductive‐age women in South Wollo Zone, Northeast Ethiopia
Authors: Mengistu Abdulkerim , Cherie Niguss , Addisu Elsabeth 
Published: March 2022

AbstractBackgroundCervical cancer is one of the reproductive organ cancers found in women which commonly arises from the cervix. It is the second most prevalent cancer among women in developing countries including Ethiopia. However, the association between positive cervical cancer screening and modifiable behavioral risk has not been well characterized in developing countries.ObjectiveTo identify determinants of positive cervical cancer screening among reproductive‐age women in the South Wollo Zone, Amhara region, northeast Ethiopia.MethodAn unmatched case‐control study design was conducted from January 28 to April 12, 2020 in the South Wollo Zone. Four hundred ten clients participated in the study with 82 cases 328 controls. Study subjects were selected by systematic random sampling. Data entered using Epi data version 3.1 and analyzed using SPSS version 24. A bivariable and multivariable logistic regression model was done. The adjusted odds ratio with its 95% confidence interval (CI) was used to measure the strength and direction of the association and P‐value <.05 was declared as significant.ResultsA total of 410 study subjects have participated with a 100% response rate. The mean age of respondents was found to be 35.58 (±8.05) years. Study participants having a history of sexually transmitted infections (adjusted odds ratio [AOR] = 3.69, 95% CI [1.70‐8.01]), having poor knowledge about cervical cancer (AOR = 2.31, 95% CI [1.32‐4.02]) and two or more lifetime sexual partners of women and husbands (AOR = 2.80, 2.55, 95% CI [1.22‐6.44, 1.28‐5.06]) respectively were independent predictors of positive cervical cancer screening.Conclusion and recommendationRisk factors that determine positive cervical cancer screening were identified. Comprehensive strategies that are focused on addressing sexual behavior and knowledge gaps should be designed. Efforts on improving and cultivating those significant factors should be done by stakeholders to prevent cervical cancer.
The insights of pet cokes/palm kernel shell activated carbon as CO2 adsorbent: equilibrium, kinetics, thermodynamics, and regeneration performance
Authors: Rashidi Nor Adilla , Yusup Suzana 
Published: March 2022

AbstractBACKGROUNDOver the years, activated carbon has been widely used for environmental applications, including liquid or gas phase applications. However, there are many hurdles for researchers in the activated carbon field to overcome when it comes to non‐renewable materials, the utilization of individual precursors, and the complex multistep procedures of activated carbon synthesis. Therefore, in this study, the facile mechanochemical potassium carbonate (K2CO3) activation of blended precursors — palm kernel shell and petroleum coke — was investigated in terms of the activated carbon yield and carbon dioxide (CO2) adsorption capacity.RESULTSThe optimum configuration of the activated carbon production was found at temperature of 680°C, holding time of 60 min, and impregnation ratio of 1.75:1. The CO2 adsorption data at 25–120°C was best represented by the Sips model with R2 > 0.9999, where maximum CO2 adsorption capacity (qmax) was within the range of 2.24–4.32 mmol/g. The kinetic analysis was well‐represented by the pseudo‐second order model due to the high R2 and low sum of square of errors (ERRSQ) value. In terms of thermodynamic analysis, it showed that the CO2 adsorption process was physical, exothermic, and spontaneous at lower temperature.CONCLUSIONOverall, the integration of agricultural and industrial waste to value‐added activated carbon was feasible not only in reducing waste disposal problems but also in facilitating CO2 mitigation. © 2022 Society of Chemical Industry (SCI).
Morpho‐functional analyses reveal that changes in the chemical structure of a marine bisindole alkaloid alter the cytotoxic effect of its derivatives
Authors: Burattini Sabrina , Battistelli Michela , Verboni Michele , Falcieri Elisabetta , Faenza Irene , Lucarini Simone , Salucci Sara 
Published: March 2022

Abstract2,2‐bis(6‐bromo‐1H‐indol‐3‐yl) ethanamine, a marine bisindole alkaloid, showed anticancer property in several tumor cell lines thanks to the presence of a 3,3′‐diindolylmethane scaffold. Here, the modifications in its chemical structure into alkaloid‐like derivatives, have been evaluated, to investigate changes in its biological activities. Three derivatives have been considered and their potential apoptotic action has been evaluated through morpho‐functional analyses in a human cancer cell line. Apoptosis appears strongly decreased in the derivatives without the bromine atoms (1) and in those where the bromine atoms have been substituted with fluorine atoms (2). On the contrary, the methylation of indole NH (3) does not alter the alkaloid apoptotic activity that occurs through mitochondria involvement supported by cardiolipin peroxidation and dysfunctional mitochondria presence. This manuscript highlights the alkaloid derivative cytotoxic effect, which is strictly correlated to the presence of N‐methylated bisindole alkaloid and bromine atoms, conditions which assure to maintain the pro‐apoptotic activity. Since molecular therapies, by targeting mitochondria pathways, have shown positive outcomes against several cancer cells, the alkaloid with bisindole methylated scaffold and the two bromine atoms can be considered a promising candidate to develop new derivatives with strong anticancer property.Research Highlights
2,2‐bis(6‐bromo‐1H‐indol‐3‐yl) ethanamine is an alkaloid known for its anticancer properties.
Morpho‐functional analyses evaluated cytotoxicity of its synthetic derivatives in tumor cells.
Anticancer properties depend on the presence of bisindole scaffold and the two bromine units.
Psychologization in and through the women's movement: A transnational history of the psychologization of consciousness‐raising in the German‐speaking countries and the United States
Authors: Ruck Nora , Luckgei Vera , Rothmüller Barbara , Franke Nina , Rack Emelie 
Published: March 2022

AbstractThis study explores the psychologization of the women's movement by examining the activist practice of consciousness‐raising in a transnational perspective. We follow the lines along which P/psychological concepts that were appropriated and developed by North American feminist activists during the late 1960s and early 1970s traveled to the German‐speaking countries and were translated, adopted, and transformed by feminist activists in Germany and Austria. We explore both the process of psychologization as the practice traveled from the United States to German‐speaking countries and the various dimensions of psychologization: diffusion of Psy‐expert discourse beyond the borders of the psy‐disciplines, academization, individualization, and meta‐psychologization. With the latter term, we aim to capture the relationship between (feminist) P/psychology and its critique.
The cognitive interview for suspects: A test with customs officers
Authors: Noc Mathilde , Ginet Magali , Deslauriers‐Varin Nadine 
Published: March 2022

AbstractThe current study aimed at testing the impact of the cognitive interview for suspects (CIS) used by trained custom officers on the quantity of gathered details, compared to a control standard interview (SI) used by untrained officers. Forty‐five mock‐suspects were required to perform a series of actions and each was interviewed by a pair of customs officers. Participants had to give statements containing truthful parts and deceptive parts. The CIS elicited significantly more details than the SI. Truthful parts of the statements contained more details than deceptive parts. An interaction effect revealed that the CIS elicited a higher number of action details in truthful parts. It is worthwhile for professionals in the field to adopt the CIS, which provides valuable benefits for information gathering. Moreover, the increase in action details raise the question of considering it as a possible lie detection tool.
Analysis and modeling of wireless power transfer supported by quadratic boost converter interfaced fuel cell power source
Authors: Büyük Mehmet , Savrun Murat Mustafa , İnci Mustafa 
Published: March 2022

AbstractThis study presents a novel wireless power transfer (WPT) system structure that transmits electrical energy from a fuel cell (FC) stack integrated with a quadratic boost converter (QBC). The main objective of the proposed study is to provide a high voltage conversion QBC based WPT system to transfer power from a low voltage FC energy unit. To adjust the power flow from the FC unit with nonlinear production behavior, a pre‐regulating WPT system is developed with QBC located on the transmitting side. Besides, the design procedure of the system with analytical equations is expressed in detail. To validate the viability and effectiveness of the proposed WPT system, a 100 W proof‐of‐concept model is developed with Horizon H‐100, and analyzed for different case studies, including dynamic operating and loading conditions. The constructed WPT system is performed for 80%, 90%, and 100% loading situations. At full loading, the performance results show that the load‐side consumes power in the rating of 77.8 W while the FC power source generates approximately 93.1 W. In this case, the efficiency of the system corresponds to 83.6%. Besides, the efficiency of the complete system is analyzed under various operating conditions.
Development and validation of a therapy‐independent hepatocellular carcinoma survival prediction score
Authors: Tan Terence J.Y. , Shen Liang , Hajiev Saur , Mak Lung‐Yi , Sharma Rohini , Goh George B.B. , Chang Pik‐Eu , Yuen Man‐Fung , Pinato David J. , Tan Chee‐Kiat 
Published: March 2022

AbstractBackground & AimsSurvival in hepatocellular carcinoma (HCC) is associated with several factors. Our aim was to develop and validate an HCC survival prediction score (HCC‐SPS) based on common clinical parameters and excluding the subsequent therapy received, which would be able to prognosticate all patients with HCC at the time of diagnosis.MethodsThe development cohort comprised 1270 patients with HCC seen in our department since January 1988. Univariate analysis was performed for known HCC prognostic parameters. Parameters with P < .1 on univariate analysis were then included in a Cox regression with backward model selection. The HCC‐SPS was derived based on the coefficients estimated by Cox regression with selected parameters. The derived HCC‐SPS was then validated with 2 independent international cohorts of 220 patients from the United Kingdom and 90 patients from Hong Kong (HK). Points were allocated to the following variables: ALBI grade, AFP level, portal vein invasion, ECOG status and TNM stage.ResultsThe total score classified a patient into 3 distinct survival risk categories of low, medium and high risk with median survival (weeks) of 249 (95% CI 195–303), 45 (95% CI 38–52) and 9 (95% CI 8–10) respectively. The scoring system was validated by the cohorts from United Kingdom and HK.ConclusionsWe have formulated an HCC survival prediction score using readily available clinical parameters to risk stratify all HCC patients into distinct survival categories at the time of HCC diagnosis regardless of subsequent treatment received. The score was validated with other independent international cohorts of patients.
Estuarine retention of larvae: Contrasting effects of behavioral responses to turbulence and waves
Authors: Garwood Jessica C. , Fuchs Heidi L. , Gerbi Gregory P. , Hunter Elias J. , Chant Robert J. , Wilkin John L. 
Published: March 2022

AbstractThe intensity of small‐scale fluid motions varies among coastal seascapes, which could drive species‐specific behavioral adaptations in planktonic larvae. For example, inlets and estuaries typically have stronger turbulence and weaker surface gravity waves than the continental shelf. In the Mid‐Atlantic Bight, eastern mudsnails (Ilyanassa obsoleta) inhabit inlets and estuaries, whereas threeline mudsnails (Ilyanassa trivittata) inhabit the continental shelf. The two species' larvae respond differently to hydrodynamic signals: both hover in calm conditions and sink in response to vorticity, a signal of turbulence, while only shelf snail larvae also sink and swim up in response to accelerations, which can be large under waves. We investigated how these observed larval behaviors and more idealized ones affect retention and settlement in estuaries using numerical experiments. Virtual larvae were released and tracked in a regional model of Delaware Bay and the adjacent shelf. Behaviors that involved downward motions, including vorticity‐induced behaviors, helped concentrate larvae near the bottom and enhanced retention in the bay. In contrast, behaviors that involved upward motions, including acceleration‐induced behaviors, promoted export onto the shelf. Compared to neutral buoyancy, the vorticity‐induced behaviors also conferred longer residence times in the bay, higher settlement probabilities, and shorter pelagic larval durations, all of which would be advantageous to estuarine species. This integration of larval observations with simulations provides evidence that behavioral responses to coastal physics can reduce larval mortality by enhancing retention and settlement in native seascapes.
Synthetic 4DCT(MRI) lung phantom generation for 4D radiotherapy and image guidance investigations
Authors: Duetschler Alisha , Bauman Grzegorz , Bieri Oliver , Cattin Philippe C , Ehrbar Stefanie , Engin‐Deniz Georg , Giger Alina , Josipovic Mirjana , Jud Christoph , Krieger Miriam , Nguyen Damien , Persson Gitte F. , Salomir Rares , Weber Damien C. , Lomax Antony J. , Zhang Ye 
Published: March 2022

AbstractPurposeRespiratory motion is one of the major challenges in radiotherapy. In this work, a comprehensive and clinically plausible set of 4D numerical phantoms, together with their corresponding “ground truths,” have been developed and validated for 4D radiotherapy applications.MethodsThe phantoms are based on CTs providing density information and motion from multi‐breathing‐cycle 4D Magnetic Resonance imagings (MRIs). Deformable image registration (DIR) has been utilized to extract motion fields from 4DMRIs and to establish inter‐subject correspondence by registering binary lung masks between Computer Tomography (CT) and MRI. The established correspondence is then used to warp the CT according to the 4DMRI motion. The resulting synthetic 4DCTs are called 4DCT(MRI)s. Validation of the 4DCT(MRI) workflow was conducted by directly comparing conventional 4DCTs to derived synthetic 4D images using the motion of the 4DCTs themselves (referred to as 4DCT(CT)s). Digitally reconstructed radiographs (DRRs) as well as 4D pencil beam scanned (PBS) proton dose calculations were used for validation.ResultsBased on the CT image appearance of 13 lung cancer patients and deformable motion of five volunteer 4DMRIs, synthetic 4DCT(MRI)s with a total of 871 different breathing cycles have been generated. The 4DCT(MRI)s exhibit an average superior–inferior tumor motion amplitude of 7 ± 5 mm (min: 0.5 mm, max: 22.7 mm). The relative change of the DRR image intensities of the conventional 4DCTs and the corresponding synthetic 4DCT(CT)s inside the body is smaller than 5% for at least 81% of the pixels for all studied cases. Comparison of 4D dose distributions calculated on 4DCTs and the synthetic 4DCT(CT)s using the same motion achieved similar dose distributions with an average 2%/2 mm gamma pass rate of 90.8% (min: 77.8%, max: 97.2%).ConclusionWe developed a series of numerical 4D lung phantoms based on real imaging and motion data, which give realistic representations of both anatomy and motion scenarios and the accessible “ground truth” deformation vector fields of each 4DCT(MRI). The open‐source code and motion data allow foreseen users to generate further 4D data by themselves. These numeric 4D phantoms can be used for the development of new 4D treatment strategies, 4D dose calculations, DIR algorithm validations, as well as simulations of motion mitigation and different online image guidance techniques for both proton and photon radiation therapy.
Is sacral neuromodulation effective in patients with Parkinson's disease? A retrospective review
Authors: Martin Sarah , Zillioux Jacqueline , Goldman Howard B. 
Published: March 2022

AbstractIntroduction and ObjectiveParkinson's disease (PD) is the second‐most common degenerative neurologic disease worldwide. Overactive bladder (OAB) is prevalent in this population but can be challenging to treat. Sacral neuromodulation (SNM) is an attractive option but remains understudied. We have utilized SNM in PD patients and herein describe our outcomes.MethodsWe performed a retrospective chart review of PD patients who underwent peripheral nerve evaluation (PNE) or Stage 1 SNM from 2000 to 2020. The primary outcome was progression to a permanent implant. The impact of PD stage and preprocedural urodynamic (UDS) parameters on test‐phase outcome were investigated. Long‐term efficacy was assessed using Wilcoxon matched‐pairs test looking at a change in urinary symptoms (frequency, nocturia, incontinence episodes, and pad use) documented at follow‐up visits and further need for treatment.ResultsThirty‐four patients underwent test phase SNM (7 PNE and 27 Stage 1). Median follow‐up was 11 (interquartile range 5.8–29.8) months. Indications included refractory OAB (30/34) and nonobstructive urinary retention (4/34). Overall, 82% (28/34) of patients proceeded to a permanent implant. 71% (5/7) of PNEs were successful. Test‐phase success did not differ based on PD disease severity or UDS parameters. In patients with OAB/urgency incontinence who progressed to the permanent implant, there was a statistically significant improvement in their urinary symptoms from baseline. Most (68%) patients were able to discontinue OAB medications post‐implant. The overall lead revision rate was 14% (4/28) and 3 devices required removal.ConclusionsSNM is an efficacious treatment option for PD patients with a high percentage of patients having improvement in their urinary symptoms.
Impact of the COVID‐19 pandemic on perceived cardiorespiratory fitness in athlete patients
Authors: Gustus Sarah , Moulson Nathaniel , Churchill Timothy W. , Guseh James Sawalla , Petek Bradley J. , VanAtta Carolyn , Baggish Aaron L. , Wasfy Meagan M. 
Published: March 2022

AbstractIntroductionCardiorespiratory fitness (CRF), as one of the most potent prognostic factors in medicine, is followed longitudinally to guide clinical management. Coronavirus disease 2019 (COVID‐19) pandemic‐related changes in lifestyle stand to influence CRF.ObjectiveTo assess the influence of the pandemic on perceived CRF in athlete patients and evaluate how perceived CRF change was related to demographics, pre‐pandemic measured CRF, and current physical activity (PA).DesignProspective cohort study, utilizing electronic survey.SettingTertiary care sports cardiology clinical practice.ParticipantsAdult athlete patients without COVID‐19 with pre‐pandemic measured CRF using cardiopulmonary exercise testing.InterventionsNot applicable.Main Outcome MeasuresPerceived change in CRF since pandemic onset; association between perceived CRF change and demographics, PA, health status, and pre‐pandemic measured CRF assessed via analysis of variance (ANOVA).ResultsAmong 62 participants (male: 71%, 50.1 ± 12.1 years old), 40% (25/62) reported no change and 32% (20/62) reported an increase in perceived CRF since pandemic onset. Among the 27% (17/62) who reported a decrease in perceived CRF, in most (12/17), this was characterized as only mild. Demographics and pre‐pandemic measured CRF did not differ across groups of perceived CRF change. Participants with a moderate or greater decrease in perceived CRF regarded their overall health (via Euro Quality of Life Visual Analogue Scale) as worse than other groups (ANOVA, p = .001). Although total PA was similar across groups, those who had improvement in perceived CRF reported higher levels of moderate intensity PA (ANOVA, p = .008).ConclusionsThe majority of participants perceived that they had maintained or improved CRF over the pandemic. Findings from this study suggest that a reduction in perceived CRF from pre‐pandemic values in athletic patients in clinical practice may not result from population‐wide pandemic changes in lifestyle. Worse health status and lower levels of moderate intensity PA were associated with perceived reduction in CRF over the pandemic in athlete patients.
Robust subtyping of non‐small cell lung cancer whole sections through MALDI mass spectrometry imaging
Authors: Janßen Charlotte , Boskamp Tobias , Hauberg‐Lotte Lena , Behrmann Jens , Deininger Sören‐Oliver , Kriegsmann Mark , Kriegsmann Katharina , Steinbuß Georg , Winter Hauke , Muley Thomas , Casadonte Rita , Kriegsmann Jörg , Maaß Peter 
Published: March 2022

AbstractSubtyping of the most common non‐small cell lung cancer (NSCLC) tumor types adenocarcinoma (ADC) and squamous cell carcinoma (SqCC) is still a challenge in the clinical routine and a correct diagnosis is crucial for an adequate therapy selection. Matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) has shown potential for NSCLC subtyping but is subject to strong technical variability and has only been applied to tissue samples assembled in tissue microarrays (TMAs). To our knowledge, a successful transfer of a classifier from TMAs to whole sections, which are generated in the standard clinical routine, has not been presented in the literature as of yet.We introduce a classification algorithm using extensive preprocessing and a classifier (either a neural network or a linear discriminant analysis (LDA)) to robustly classify whole sections of ADC and SqCC lung tissue. The classifiers were trained on TMAs and validated and tested on whole sections. Vital for a successful application on whole sections is the extensive preprocessing and the use of whole sections for hyperparameter selection.The classification system with the neural network/LDA results in 99.0%/98.3% test accuracy on spectra level and 100.0%/100.0% test accuracy on whole section level, respectively, and, therefore, provides a powerful tool to support the pathologist's decision making process. The presented method is a step further towards a clinical application of MALDI MSI and artificial intelligence for subtyping of NSCLC tissue sections.
Fast Polymerization of Dopamine for Coating on ANPZO Surface with Excellent Thermal Stability and Mechanical Properties
Authors: Jia Kanghui , Liu Yucun , Chai Tao , Yu Yanwu , Jing Suming , Wu Pengfei , He Jinxuan , Zhang Wei 
Published: March 2022

AbstractMussel‐inspired dopamine has been employed extensively in the field of surface modification, and polydopamine (PDA) coated in the surface of energetic materials is efficient in properties improving for its high adhesion. However, the key problem is the slow polymerization process of dopamine that often takes about 10 hours up to a few days, which hinder the development and limit its large‐scale application in most areas. Herein, an oxidant‐speed up method was proved to accelerate dopamine polymerization and it was successfully coated in the surface of 2,6‐diamino‐3,5‐dinitropyrazine‐1‐oxide (ANPZO) crystals. The SEM images, XRD patterns, FT‐IR spectra, and Raman spectrum indicated that the morphological and structural features had no change in the process of coating and the XPS spectrum indicated that the PDA has successfully occurred on the crystal surface. In addition, the ANPZO crystals coated with PDA had more excellent thermal stability and mechanical properties than uncoated ANPZO, with the unchanged sensitivity as a high‐energy insensitive explosive. This work opened up a new idea in accelerating self‐assembly and PDA modifications for surface by oxidant‐speed up method, which will promote the progess of insensitive high explosives and meet its application demand.