bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study
Authors: Araujo Daniella Castro , Rocha Bruno Aragão , Gomes Karina Braga , da Silva Daniel Noce , Ribeiro Vinicius Moura , Kohara Marco Aurelio , Tostes Marana Fernanda , Bitar Renata Andrade , Veloso Adriano Alonso , Pintao Maria Carolina , da Silva Flavia Helena , Viana Celso Ferraz , de Souza Pedro Henrique Araújo , da Silva Ismael Dale Cotrim Guerreiro 
Published: May 2024

AbstractOptimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally accessible and cost-effective approach for risk evaluation. We analyzed complete blood count (CBC) tests from 396,848 women aged 40–70, who underwent breast imaging or biopsies within six months after their CBC test. Of these, 2861 (0.72%) were identified as cases: 1882 with BC confirmed by anatomopathological tests, and 979 with highly suspicious imaging (BI-RADS 5). The remaining 393,987 participants (99.28%), with BI-RADS 1 or 2 results, were classified as controls. The database was divided into modeling (including training and validation) and testing sets based on diagnostic certainty. The testing set comprised cases confirmed by anatomopathology and controls cancer-free for 4.5–6.5 years post-CBC. Our ridge regression model, incorporating neutrophil–lymphocyte ratio, red blood cells, and age, achieved an AUC of 0.64 (95% CI 0.64–0.65). We also demonstrate that these results are slightly better than those from a boosting machine learning model, LightGBM, plus having the benefit of being fully interpretable. Using the probabilistic output from this model, we divided the study population into four risk groups: high, moderate, average, and low risk, which obtained relative ratios of BC of 1.99, 1.32, 1.02, and 0.42, respectively. The aim of this stratification was to streamline prioritization, potentially improving the early detection of breast cancer, particularly in resource-limited environments. As a risk stratification tool, this model offers the potential for personalized breast cancer screening by prioritizing women based on their individual risk, thereby indicating a shift from a broad population strategy.
The changes in fear of childbirth in pregnancy during and before the COVID-19 pandemic
Authors: Soysal Cenk , Ulaş Özlem , Işıkalan Mehmet Murat , Bıyık İsmail , Taşçı Yasemin , Keskin Nadi 
Published: May 2024

AbstractWe aimed to investigate how factors such as age, education level, planned delivery method and fear of childbirth were affected in pregnant women before and during the pandemic. This cross-sectional study compared a pre-pandemic pregnant group (July 2019 and December 2019) and a pandemic group (November 2020 and May 2021) of patients at Kütahya Health Sciences University Evliya Çelebi Training and Research Hospital. A total of 696 pregnant women in their second trimester were included in the study. All of them were literate and voluntarily agreed to participate in the study. Data were collected with the Wijma delivery expectancy/experience questionnaire (WDEQ-A), and the outpatient doctor asked the questions face-to-face. The mean age of the pregnant women participating in the study was 31.6 ± 6.8 years. While the total Wijma score was 62.1 ± 25.1 in the pre-pandemic group, it was 61.3 ± 26.4 in the pandemic group, and there was no significant difference between the two groups (p = 0.738). Upon analyzing the fear of childbirth among groups based on education level, no statistically significant differences were observed between the pre-pandemic and pandemic periods within any of the groups. While 25.7% (n = 179) of all participants had a normal fear of childbirth, 22% (n = 153) had a mild fear of childbirth, 27% (n = 188) had a moderate fear of childbirth, and 25.3% (n = 176) had a severe fear of childbirth (Wijma score of 85 and above). When the pre-pandemic and the pandemic period were compared, the fear of childbirth was unchanged in pregnant women at all education levels (p = 0.079, p = 0.957, p = 0.626, p = 0.539, p = 0.202). When comparing fear of childbirth before and after the pandemic, it was found that patients with a high school education level have a significantly higher fear of childbirth. To alleviate the fear of childbirth in pregnant women who have completed high school, training or psychosocial support interventions may be prioritized.
The knowledge regarding the impacts and management of black triangles among dental professionals and laypeople
Authors: AL-Omiri Mahmoud K. , Atieh Danial Waleed Ahmad , Abu-Awwad Motasum , Al Nazeh Abdullah A. , Almoammar Salem , Hassan Saeed Awod Bin , Aljbab Abdallah Ahmed , Alfaifi Mohammed A. , Shat Naji M. , Lynch Edward 
Published: May 2024

AbstractThis study aimed to assess the knowledge regarding impacts, causes and management of black triangles (BT) among participants from different educational backgrounds including dental students, dentists and laypeople. This descriptive cross-sectional observational research included 435 participants who comprised 4 groups: pre-clinical (3rd year) dental students, clinical (4th and 5th year) dental students, dentists, and laypeople. A constructed self-reported questionnaire was utilized to assess participants’ demographic data and their knowledge of the impacts, causes and management of BT. The VAS scale was used to assess participants’ ratings for the impacts of BT on esthetics, with 0 meaning no impact and 10 meaning very severe negative impacts. The most reported treatments for BT were “cannot be treated” 99.3% and “non-surgical periodontal treatment” 67.1%. Meanwhile, the least reported was “modify the porcelain” 41.8%. The most reported cause of BT was “periodontal disease” 85.1%. However, the least reported were “parafunction” and “deep implants” 33.1% each. Dental professionals had better knowledge of the causes (t = 8.189, P < 0.001) and management (t = 8.289, P < 0.001) of BT than the non-dental participants. The dentists had the best knowledge, while the laypeople had the least knowledge of the causes (F = 62.056, P < 0.001) and treatment (F = 46.120, P < 0.001) of BT. The knowledge of the causes (t = 0.616, P = 0.538) and treatment (t = 1.113, P = 0.266) for BT was not significantly different between males and females. Age was not significantly related to the total knowledge about the causes (r = −0.034, P = 0.475) or treatment (r = −0.034, P = 0.482) for BT. Dental professionals had better knowledge of the impacts, causes and management of BT than the non-dental participants. The dentists were the best, while the laypeople were the worst in this regard. Age and gender had no relationships with the knowledge of causes or management of BT.
Validation of the Polish version of the Johns Hopkins Learning Environment Scale–a confirmatory factor analysis
Authors: Wójcik Dorota , Szalewski Leszek , Bęben Adam , Ordyniec-Kwaśnica Iwona , Shochet Robert B. 
Published: May 2024

AbstractThe Johns Hopkins Learning Environment Scale (JHLES) was developed by Robert B. Shochet, Jorie M. Colbert and Scott M. Wright of the Johns hopkins university school of medicine and consists of 28 items used to evaluate perception of the academic environment. The objective was to translate and adapt the JHLES to Polish cultural conditions and to validate the Polish version of the tool. The JHLES questionnaire was completed by students of all years (first–fifth) of the faculties of dental medicine at the Medical University of Lublin and the Medical University of Gdańsk. The total surveyed population consisted of 597 students. The overall reliability of the tool was excellent. Confirmatory factor analysis was performed in order to confirm structural consistency with the original JHLES tool. Consequently, all indices had acceptable values (close to 1 or 0, depending on the case), and there was consistency in the results, which shows that the JHLES model is supported by the data. In the present study, the JHLES has been validated in a sample of dental students for the first time in Poland and Europe. Our study provided good evidence for the reliability and validity of the Polish version of the JHLES. In conclusion, the Polish-language version of the JHLES questionnaire is a reliable and valid instrument for analysing the learning environment for students, and its factor structure is supported by the data.
Kidney stone growth through the lens of Raman mapping
Authors: Robinson John W. , Roberts William W. , Matzger Adam J. 
Published: May 2024

AbstractBulk composition of kidney stones, often analyzed with infrared spectroscopy, plays an essential role in determining the course of treatment for kidney stone disease. Though bulk analysis of kidney stones can hint at the general causes of stone formation, it is necessary to understand kidney stone microstructure to further advance potential treatments that rely on in vivo dissolution of stones rather than surgery. The utility of Raman microscopy is demonstrated for the purpose of studying kidney stone microstructure with chemical maps at ≤ 1 µm scales collected for calcium oxalate, calcium phosphate, uric acid, and struvite stones. Observed microstructures are discussed with respect to kidney stone growth and dissolution with emphasis placed on < 5 µm features that would be difficult to identify using alternative techniques including micro computed tomography. These features include thin concentric rings of calcium oxalate monohydrate within uric acid stones and increased frequency of calcium oxalate crystals within regions of elongated crystal growth in a brushite stone. We relate these observations to potential concerns of clinical significance including dissolution of uric acid by raising urine pH and the higher rates of brushite stone recurrence compared to other non-infectious kidney stones.
Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning
Authors: Yang Yun-Hsiang , Wang Ts-Ting , Su Yi-Han , Chu Wei-Ying , Lin Wei-Ting , Chen Yen-Ju , Chang Yu-Shan , Lin Yung-Chieh , Lin Chyi-Her , Lin Yuh-Jyh 
Published: May 2024

AbstractOur aim was to develop a machine learning-based predictor for early mortality and severe intraventricular hemorrhage (IVH) in very-low birth weight (VLBW) preterm infants in Taiwan. We collected retrospective data from VLBW infants, dividing them into two cohorts: one for model development and internal validation (Cohort 1, 2016–2021), and another for external validation (Cohort 2, 2022). Primary outcomes included early mortality, severe IVH, and early poor outcomes (a combination of both). Data preprocessing involved 23 variables, with the top four predictors identified as gestational age, birth body weight, 5-min Apgar score, and endotracheal tube ventilation. Six machine learning algorithms were employed. Among 7471 infants analyzed, the selected predictors consistently performed well across all outcomes. Logistic regression and neural network models showed the highest predictive performance (AUC 0.81–0.90 in both internal and external validation) and were well-calibrated, confirmed by calibration plots and the lowest two mean Brier scores (0.0685 and 0.0691). We developed a robust machine learning-based outcome predictor using only four accessible variables, offering valuable prognostic information for parents and aiding healthcare providers in decision-making.
Gene expression associated with unfavorable vaginal bleeding in women using the etonogestrel subdermal contraceptive implant: a prospective study
Authors: Torelli Flávia R. , Rodrigues-Peres Raquel M. , Monteiro Ilza , Lopes-Cendes Iscia , Bahamondes Luis , Juliato Cássia R. T. 
Published: May 2024

AbstractTo evaluate gene expression associated with unfavorable vaginal bleeding in users of the Etonogestrel (ENG) contraceptive implant. Prospective study involving 100 women who intended to use the ENG implant. Exclusion criteria included abnormal uterine bleeding, inability to attend a 1-year follow-up, and implant removal for reasons unrelated to vaginal bleeding or loss of follow-up. We obtained endometrial biopsies before implant placement and assessed the expression of 20 selected genes. Users maintained a uterine bleeding diary for 12 months post-implant placement. For statistical analysis, we categorized women into those with or without favorable vaginal bleeding at 3 and 12 months. Women with lower CXCL1 expression had a 6.8-fold increased risk of unfavorable vaginal bleeding at 3 months (OR 6.8, 95% CI 2.21–20.79, p < 0.001), while those with higher BCL6 and BMP6 expression had 6- and 5.1-fold increased risks, respectively. By the 12-month follow-up, women with lower CXCL1 expression had a 5.37-fold increased risk of unfavorable vaginal bleeding (OR 5.37, 95% CI 1.63–17.73, p = 0.006). Women with CXCL1 expression < 0.0675, BCL6 > 0.65, and BMP6 > 3.4 had a higher likelihood of experiencing unfavorable vaginal bleeding at 3 months, and CXCL1 < 0.158 at 12 months. Users of ENG contraceptive implants with elevated BCL6 and BMP6 expression exhibited a higher risk of breakthrough bleeding at the 3-month follow-up. Conversely, reduced CXCL1 expression was associated with an elevated risk of bleeding at both the 3 and 12-month follow-ups.
Intake of oligoelements with cytarabine or etoposide alters dopamine levels and oxidative damage in rat brain
Authors: Guzmán David Calderón , Brizuela Norma Osnaya , Herrera Maribel Ortíz , Olguín Hugo Juárez , Peraza Armando Valenzuela , Ruíz Norma Labra , Mejía Gerardo Barragán 
Published: May 2024

AbstractResearch on the relationships between oligoelements (OE) and the development of cancer or its prevention is a field that is gaining increasing relevance. The aim was to evaluate OE and their interactions with oncology treatments (cytarabine or etoposide) to determine the effects of this combination on biogenic amines and oxidative stress biomarkers in the brain regions of young Wistar rats. Dopamine (DA), 5-Hydroxyindoleacetic acid (5-Hiaa), Glutathione (Gsh), Tiobarbituric acid reactive substances (TBARS) and Ca+2, Mg+2 ATPase enzyme activity were measured in brain regions tissues using spectrophometric and fluorometric methods previously validated. The combination of oligoelements and cytarabine increased dopamine in the striatum but decreased it in cerebellum/medulla-oblongata, whereas the combination of oligoelements and etoposide reduced lipid peroxidation. These results suggest that supplementation with oligoelements modifies the effects of cytarabine and etoposide by redox pathways, and may become promising therapeutic targets in patients with cancer.
Numerical study on solar photovoltaic/thermal system with tesla valve
Authors: Du Shuai , Zou Jianxin , Zheng Xinli , Ye Xin , Yang Huazheng , Zhong Ping 
Published: May 2024

AbstractIn recent years, photovoltaic/thermal (PV/T) systems have played a crucial role in reducing energy consumption and environmental degradation, nonetheless, the low energy conversion efficiency presents a considerable obstacle for PV/T systems. Therefore, improving heat conversion efficiency is essential to enhance energy efficiency. In this paper, the PV/T system with the Tesla valve is proposed to solve this problem. Firstly, the cooling effect is simulated and analyzed in the system with four different flow channel structures: semicircle, rectangle, triangle and Tesla valve. The results indicate that the system with the Tesla valve exhibits superior cooling performance. Subsequently, several factors including angle, valve number, valve type, and pipe diameter ratio for the Tesla valve are further studied through numerical and simulation analysis. The results reveal that Tesla valves demonstrate optimal cooling performance when possessing the following structural parameters: complete symmetry, more valves, a 30-degree angle and a pipe diameter ratio of 1. Finally, four different types of fluid are selected to explore the Tesla valve. The conclusion shows that nanofluids with high density, low specific heat, and high thermal conductivity also improve the cooling performance. Thus, the PV/T system with the Tesla valve exhibits good heat dissipation and energy storage efficiency, electrical efficiency can reach 16.32% and thermal efficiency reach 59.65%.
Transcriptomic characteristics according to tumor size and SUVmax in papillary thyroid cancer patients
Authors: Ju Sang-Hyeon , Lee Seong Eun , Yi Shinae , Choi Na Rae , Kim Kun Ho , Kim Seong Min , Koh June-Young , Kim Seon-Kyu , Kim Seon-Young , Heo Jun Young , Park Junyoung O. , Park Seongyeol , Koo Bon Seok , Kang Yea Eun 
Published: May 2024

AbstractThe SUVmax is a measure of FDG uptake and is related with tumor aggressiveness in thyroid cancer, however, its association with molecular pathways is unclear. Here, we investigated the relationship between SUVmax and gene expression profiles in 80 papillary thyroid cancer (PTC) patients. We conducted an analysis of DEGs and enriched pathways in relation to SUVmax and tumor size. SUVmax showed a positive correlation with tumor size and correlated with glucose metabolic process. The genes that indicate thyroid differentiation, such as SLC5A5 and TPO, were negatively correlated with SUVmax. Unsupervised analysis revealed that SUVmax positively correlated with DNA replication(r = 0.29, p = 0.009), pyrimidine metabolism(r = 0.50, p < 0.0001) and purine metabolism (r = 0.42, p = 0.0001). Based on subgroups analysis, we identified that PSG5, TFF3, SOX2, SL5A5, SLC5A7, HOXD10, FER1L6, and IFNA1 genes were found to be significantly associated with tumor aggressiveness. Both high SUVmax PTMC and macro-PTC are enriched in pathways of DNA replication and cell cycle, however, gene sets for purine metabolic pathways are enriched only in high SUVmax macro-PTC but not in high SUVmax PTMC. Our findings demonstrate the molecular characteristics of high SUVmax tumor and metabolism involved in tumor growth in differentiated thyroid cancer.
Nonlinear evolution characteristics and seepage mechanical model of fluids in broken rock mass based on the bifurcation theory
Authors: Yunlong Jia , Zhengzheng Cao , Zhenhua Li , Feng Du , Cunhan Huang , Haixiao Lin , Wenqiang Wang , Minglei Zhai 
Published: May 2024

AbstractWith the deep extension of coal mining in China, fault water inrush has become one of the major disasters threatening the safety production of coal mine. Based on the control equations of steady state and non-Darcy seepage in fractured rock mass, the multi-parameter nonlinear dynamic seepage equations of fractured rock mass are established in this paper. Based on the nonlinear dynamics theory, the function of the state variable in the system is derived, and the influence of the gradual change of non-Darcy flow factors on the structural stability of seepage system is studied. The research achievements show that there are three branches in the equilibrium state of the seepage system. Specifically, the stability of the equilibrium state changes abruptly near the limit parameter. The seepage dynamic system of fractured rock mass has the delayed bifurcation, and the coal mine disaster such as fault water inrush occurs easily at the bifurcation point. The research results are of great significance to enrich the theory of fault water inrush in coal mine, and to reveal the disastrous mechanism of fault water inrush and guide its prevention and control technology in coal mine, which can provide the theoretical reference for predicting the water seepage stability in fractured rock mass.
“Yes, I Use Sunscreen,” and Other Takeaways from a Black Girl at Sleepaway Camp
Authors: Mitchell Briana Michele 
Published: May 2024

Summary
Have you ever been curious about what it is like to be a speck of pepper in a sea of salt, or the only Black or brown body in a sea of white bodies? Speaking from experience, there are times when your body will experience a sudden shock of recognition or understanding. Things you had not fully grasped before become clear–you feel your differences in your body even before it registers in your mind.
My story is about the unique arc of trauma my body experienced at predominately white summer camps simply because it was different from the other bodies. One goal of this piece is to impress upon you, the need to create a sense of belonging for bodies of non-dominate campers. To achieve this, it is critical to seek to understand and gain knowledge about the trauma Black and brown bodies experience because they are different and to create emotionally safe environments for all bodies.

Information
© CAB International 2024
Impact of eliminating ungated access regions on DC and thermal performance of GaN-based MIS-HEMT
Authors: Zhang Xinkun , Zhou Yu , Xu Shuqian , Qie Haoran , Wang Qingru , Li Qian , Liu Jianxun , Sun Xiujian , Dai Quan , Zhan Xiaoning , Zhi Gaofei , Sun Qian , Yang Hui 
Published: May 2024

Abstract
The impacts of eliminating access regions (AR) on DC and thermal performance of GaN-based MIS-HEMT have been studied using a device of 4 µm gate length. Nominal absence of ARs was achieved by a metal-organic chemical vapor deposition-regrown heavily n-doped GaN contact region extended to the two-dimensional electron gas (2DEG) channel (with sheet resistance as low as 14 Ω/

◻

and ohmic contact resistance of 0.20

Ω
⋅

mm) and 22-nm-thick AlN/Al2O3/HfO2 insulator layers acting as both gate dielectrics and sidewall spacers. As a result, a low knee voltage (2.5 V @

V

GS

= +2 V) comparable to deeply-scaled devices was attained, revealing the dominant role of ARs in knee voltages. High linearity at lower supply voltages (gate voltage swing of 7.3 V @

V

DS

= 5 V) and a faster GVS saturation trend with V

DS
increasing were observed, benefiting from the improved utility of applied lateral voltage. Moreover, a much lower thermal resistance compared to that of the conventional MIS-HEMT structure (146 vs. 202 K W−1) was extracted by a static-pulsed I-V measurement method. Simplified TCAD simulations were conducted to explain the underlying mechanisms, demonstrating that the enhanced surface heat flow covered by the gate metal as well as the more uniform electric field along the 2DEG channel accounts for the better capability of heat management in the device free of ARs. Our results indicate the size of DC and thermal performance enhancements obtained by eliminating ARs in a GaN-based MIS-HEMT structure.
Superconductivity in breathing kagome-structured C14 Laves phase XOs2(X = Zr, Hf)
Authors: Meena P K , Mandal M , Manna P , Srivastava S , Sharma S , Mishra P , Singh R P 
Published: May 2024

Abstract
Recently, the emergence of superconductivity in kagome metals has generated significant interest due to its interaction with flat bands and topological electronic states, which exhibit a range of unusual quantum characteristics. This study thoroughly investigates largely unexplored breathing kagome structure C14 Laves phase compounds XOs2 (X = Zr, Hf) by XRD, electrical transport, magnetization, and specific heat measurements. Our analyses confirm the presence of the MgZn2-type structure in ZrOs2 and HfOs2 compounds, exhibiting type-II superconductivity with critical temperature (

T

C

) values of 2.90(3) K and 2.69(6) K, respectively. Furthermore, specific heat measurements and electron–phonon coupling constants for both compounds indicate weakly coupled fully gapped superconductivity.