bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mammography-based deep learning model for coronary artery calcification
Authors: Ahn Sangil , Chang Yoosoo , Kwon Ria , Kang Jeonggyu , Choi JunHyeok , Lim Ga-Young , Kwon Mi-ri , Ryu Seungho , Shin Jitae 
Published: November 2023

Abstract

Aims
Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coronary events.

Methods and results
We evaluated a subset of Korean adults who underwent image mammography and CAC computed tomography and randomly selected approximately 80% of the participants as the training dataset, used to develop a convolutional neural network (CNN) to predict detectable CAC. The sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and overall accuracy of the model’s performance were evaluated. The training and validation datasets included 5235 and 1208 women, respectively [mean age, 52.6 (±10.2) years], including non-zero cases (46.8%). The CNN-based deep learning prediction model based on the Resnet18 model showed the best performance. The model was further improved using contrastive learning strategies based on positive and negative samples: sensitivity, 0.764 (95% CI, 0.667–0.830); specificity, 0.652 (95% CI, 0.614–0.710); AUROC, 0.761 (95% CI, 0.742–0.780); and accuracy, 70.8% (95% CI, 68.8–72.4). Moreover, including age and menopausal status in the model further improved its performance (AUROC, 0.776; 95% CI, 0.762–0.790). The Framingham risk score yielded an AUROC of 0.736 (95% CI, 0.712–0.761).

Conclusion
Mammography-based deep learning models showed promising results for predicting CAC, performing comparably to conventional risk models. This indicates mammography’s potential for dual-risk assessment in breast cancer and cardiovascular disease. Further research is necessary to validate these findings in diverse populations, with a particular focus on representation from national breast screening programmes.
Germline proliferation trades off with lipid metabolism in Drosophila
Authors: Rodrigues Marisa A , Dauphin-Villemant Chantal , Paris Margot , Kapun Martin , Mitchell Esra Durmaz , Kerdaffrec Envel , Flatt Thomas 
Published: November 2023

Abstract
Little is known about the metabolic basis of life-history trade-offs but lipid stores seem to play a pivotal role. During reproduction, an energetically highly costly process, animals mobilize fat reserves. Conversely, reduced or curtailed reproduction promotes lipid storage in many animals. Systemic signals from the gonad seem to be involved: Caenorhabditis elegans lacking germline stem cells display endocrine changes, have increased fat stores and are long-lived. Similarly, germline-ablated Drosophila melanogaster exhibit major somatic physiological changes, but whether and how germline loss affects lipid metabolism remains largely unclear. Here we show that germline-ablated flies have profoundly altered energy metabolism at the transcriptional level and store excess fat as compared to fertile flies. Germline activity thus constrains or represses fat accumulation, and this effect is conserved between flies and worms. More broadly, our findings confirm that lipids represent a major energetic currency in which costs of reproduction are paid.
Height growth patterns of genetically improved Scots pine and silver birch
Authors: Zeltiņš Pauls , Jansons Āris , Baliuckas Virgilijus , Kangur Ahto 
Published: November 2023

Abstract
The breeding of forest tree species in the Baltic region has notably contributed to wood production for the bioeconomy. Growth modelling is used for long-term estimates of forest development. However, usually based on data from unimproved stands, they may underestimate the growth of improved trees. Accordingly, it is important to identify and integrate the altered stand dynamics associated with improved planting stock into existing growth models to accurately capture the resulting gains or, alternatively, develop new functions specifically designed for improved trees. We used the generalized algebraic difference approach to model and analyze height growth patterns of Scots pine and silver birch with different genetic improvement levels (improved forest reproductive material categories ‘qualified’ and ‘tested’). Modelling was based on 14 260 and 55 926 height–age series from open-pollinated progeny trials in Latvia and Lithuania with an age range of 3–46 and 5–22 years for pine and birch, respectively. Dynamic generalized algebraic difference approach forms of commonly applied height growth functions with forest reproductive material-category-specific sets of coefficients were tested. The dynamic form of the Chapman–Richards and King–Prodan equations had the best fit for Scots pine and silver birch, respectively. The expected height growth of the category ‘tested’ was slightly better than the one for ‘qualified’, with more distinct differences in silver birch. The model with forest reproductive material-category-specific coefficients reflected the actual growth of improved trees; however, such application is limited to sites with medium and high site indices, where improved planting stock is typically used. We recommend the model for young stands up to the age of 20 and 40 years for pine and birch, respectively, considering the empirical data cover on which the functions are based. A unified dynamic height model with the same functional form but category-specific parameterization for different improvement levels allows a practical applicability and effective communication amongst diverse users, thereby promoting the utilization of the model amongst forest owners and managers who possess information regarding the origin of planting stock.
A dialogical model of human rights adjudication
Authors: Etxabe Julen 
Published: November 2023

Abstract
This article presents the contours of a “dialogical model” of adjudication arising from the practice of the European Court of Human Rights that is profoundly transforming inherited notions of rights, legal reasoning, legal authority, and the rule of law more generally. The dialogical model is characterized by a form of reasoning that is not self-reliant or autonomous, but internally constituted by the interaction of multiple voices, normative perspectives, and institutional standpoints. What is defined as dialogical, however, is not the inclusion of this or that discrete voice, but the entire process of adjudication, including: how issues are framed; the need to consider cases as a whole; their embeddedness in large swathes of normative magma; the self-reflexive assessment of the Court’s position and trajectory; the relational understanding of the Court’s authority; and the fact that each and every decision constitutes a notion of democracy that is plural, many-voiced, and inherently in tension. Beyond a mere polyphony of voices, therefore, this is an entirely new paradigm to conceive the Court’s task, which differs markedly from the two main paradigms of understanding human rights adjudication, namely the rights-based model and proportionality analysis. After describing the shortcomings of the latter two paradigms fully to account for the Court’s practice, the article presents the features of the dialogical model. Ultimately, this is a judgment about the collective self-definition of democratic societies, which necessitates a reassessment of the countermajoritarian difficulty to account for the democracy-constituting role of the Court.
Pharmacy users’ perceptions, awareness and future expectations of community pharmacy in England: a focus group study
Authors: Paloumpi Evgenia , Ozieranski Piotr , Watson Margaret C , Jones Matthew D 
Published: November 2023

Abstract

Objective
To explore pharmacy users’ perceptions of current and future provision of community pharmacy services in England.

Methods
Qualitative, reconvened focus groups were conducted with community pharmacy users. An initial focus group explored preliminary views. Participants were then given an evidence brief describing community pharmacy before a reconvened focus group two weeks later. Transcripts were analysed using inductive thematic analysis.

Key findings
Eleven individuals participated across two reconvened focus groups. Participants valued community pharmacies and staff, but lacked awareness of their services and roles: ‘… I don’t think the general public is aware of all of this … it gives you a very different perspective’. Urgent care and long-term conditions management were identified as suitable for future development, facilitated by training, closer collaboration with general practices, shared access to health records, and premises with more space and confidentiality: ‘I still think of it as a retail space more than as a health service’. Concerns were expressed about working conditions in community pharmacy and unplanned closures: ‘doesn’t sound like a great place to work’. Participants anticipated greater use of technology but did not want this to replace face-to-face contact with pharmacy staff: ‘I am not saying it’s inaccurate, it is so remote and impersonal’.

Conclusions
Pharmacy users would value a greater role for community pharmacy in addressing the challenges currently faced by the health service in England, provided that their concerns on a range of issues are addressed.
ROIPCA: an online memory-restricted PCA algorithm based on rank-one updates
Authors: Mitz Roy , Shkolnisky Yoel 
Published: November 2023

Abstract
Principal components analysis (PCA) is a fundamental algorithm in data analysis. Its memory-restricted online versions are useful in many modern applications, where the data are too large to fit in memory, or when data arrive as a stream of items. In this paper, we propose ROIPCA and fROIPCA, two online PCA algorithms that are based on rank-one updates. While ROIPCA is typically more accurate, fROIPCA is faster and has comparable accuracy. We show the relation between fROIPCA and an existing popular gradient algorithm for online PCA, and in particular, prove that fROIPCA is in fact a gradient algorithm with an optimal learning rate. We demonstrate numerically the advantages of our algorithms over existing state-of-the-art algorithms in terms of accuracy and runtime.
Minimax rates for sparse signal detection under correlation
Authors: Kotekal Subhodh , Gao Chao 
Published: November 2023

Abstract
We fully characterize the nonasymptotic minimax separation rate for sparse signal detection in the Gaussian sequence model with $p$ equicorrelated observations, generalizing a result of Collier, Comminges and Tsybakov. As a consequence of the rate characterization, we find that strong correlation is a blessing, moderate correlation is a curse and weak correlation is irrelevant. Moreover, the threshold correlation level yielding a blessing exhibits phase transitions at the $\sqrt{p}$ and $p-\sqrt{p}$ sparsity levels. We also establish the emergence of new phase transitions in the minimax separation rate with a subtle dependence on the correlation level. Additionally, we study group structured correlations and derive the minimax separation rate in a model including multiple random effects. The group structure turns out to fundamentally change the detection problem from the equicorrelated case and different phenomena appear in the separation rate.
Timing of maternal nutrient restriction during mid- to late-gestation influences net umbilical uptake of glucose and amino acids in adolescent sheep
Authors: Trotta Ronald J , Vasquez-Hidalgo Manuel A , Smith Brandon I , Reed Sarah A , Govoni Kristen E , Vonnahme Kimberly A , Swanson Kendall C 
Published: November 2023

Abstract
Previous research demonstrated that maternal nutrient restriction during mid- to late-gestation influenced net umbilical uptakes of glucose and amino acids in sheep. However, it is unclear how the timing and duration of nutrient restriction during mid- to late-gestation influences net uterine, uteroplacental, and fetal flux of glucose and amino acids. On day 50 of gestation, 41 adolescent ewe lambs carrying singletons were randomly assigned to one of six dietary treatments: 1) 100% of nutrient requirements from days 50 to 90 of gestation (CON; n = 7); 2) 60% of nutrient requirements (RES; n = 7) from days 50 to 90 of gestation; 3) 100% of nutrient requirements from days 50 to 130 of gestation (CON-CON; n = 6); 4) 100% of nutrient requirements from days 50 to 90 of gestation and 60% of nutrient requirements from days 90 to 130 of gestation (CON-RES; n = 7); 5) 60% of nutrient requirements from days 50 to 90 of gestation and 100% of nutrient requirements from days 90 to 130 of gestation (RES-CON; n = 7); or 6) 60% of nutrient requirements from days 50 to 130 of gestation (RES-RES; n = 7). On day 90 (n = 14) and day 130 (n = 27), intraoperative procedures were performed to evaluate uteroplacental blood flows, collect blood samples, and then ewes were euthanized. Net uterine, uteroplacental, and umbilical fluxes of glucose and amino acids were calculated by multiplying blood flow by the arterial-venous concentration difference. Data from days 90 and 130 were analyzed separately using ANOVA in SAS. Maternal nutrient restriction during mid-gestation increased (P = 0.04) net umbilical glucose uptake but, maternal nutrient restriction during late-gestation decreased (P = 0.02) net umbilical glucose uptake. Net umbilical essential amino acid uptake decreased (P = 0.03) with nutrient restriction during mid-gestation; however, net umbilical uptakes of Phe (P = 0.02), Thr (P = 0.05), Met (P = 0.09), and His (P = 0.08) increased or tended to increase after nutrient restriction during late-gestation. These data demonstrate that net umbilical glucose and amino acid uptakes were influenced by the timing of nutrient restriction during mid- to late-gestation. Elevated net umbilical glucose uptake after mid-gestational nutrient restriction was sustained throughout late-gestation, independent of late-gestational feeding level. Long-term adaptations in umbilical glucose uptake may have implications for prenatal and postnatal growth and development of the offspring.
Associations of automated body condition scores at dry-off and through early lactation with milk yield of Holstein cows
Authors: Pinedo Pablo J , Manríquez Diego , Azocar Joaquín , De Vries Albert 
Published: November 2023

Abstract
The objective of this study was to analyze the associations of body condition score (BCS) and BCS change (∆BCS) during the dry period and the first 100 d of lactation with daily milk yield. Examining the involvement of health status in the associations between BCS and milk yield was a secondary objective of this research. Data included 12,042 lactations in 7,626 Holstein cows calving between April 2019 and January 2022 in a commercial dairy operation located in Colorado, USA. BCSs were generated daily by an automated BCS camera system located at the exit of the milking parlor. The assessment points selected for this study were dry-off (BCSdry), calving (BCS1), 7 DIM (BCS7), 14 DIM (BCS14), 21 DIM (BCS21), and nadir (nBCS; defined as the lowest daily BCS from calving to 100 DIM). Subsequently, these BCS were categorized considering quartiles (Q1 = 25% lowest BCS; Q4 = 25% greatest BCS), separately for primiparous and multiparous cows. Changes in BCS were calculated from dry-off to calving (multiparous); and from calving to 7 DIM, 14 DIM, 21 DIM, and nadir and assigned into quartile categories considering Q1 as the 25% of cows with the greatest decrease of BCS. Lactations were classified based on the number of health events before nadir as healthy, affected by one event, or having multiple events. Data were examined in primiparous and multiparous cows separately using ANOVA. The least square means for daily milk at 60 DIM and 305 DIM were calculated by category of BCS and ∆BCS at multiple time points and time periods. Subsequently, lactation curves were created by BCS and ∆BCS categories and by health status. Multivariable models included calving season and BCS1 as covariables. The largest differences in milk yield among categories of BCS and ∆BCS were identified for BCS originated at nadir and for the ∆BCS between calving and nadir. The differences in average daily milk yield between cows in the lowest and the greatest nBCS category (Q1 vs. Q4) were 3.3 kg/d (60 DIM) and 3.4 kg/d (305 DIM) for primiparous cows and 2.4 kg/d (60 DIM) and 2.1 kg/d (305 DIM) for multiparous cows. During the period from calving to nadir, primiparous cows in Q1 (greatest decrease of BCS) produced 4.3 kg/d (60 DIM) and 3.8 kg/d (305 DIM) more than cows in Q4. For multiparous cows, the differences were 3.0 kg/d (60 DIM) and 1.9 kg/d (305 DIM) in favor of Q1 cows. Overall, the associations between BCS and ∆BCS categories and milk yield were not consistent across time and they depended on the parity category. Nonetheless, as the assessment of BCS and ∆BCS approached the nadir, the association between greater milk yield and lower BCS or greater reduction in BCS became more evident.
Cubic time-spline fitting and interpolation for five-axis CNC machining
Authors: Wu Qin , Yuan Chun-Ming , Shen Li-Yong , He Shi-Tao , Gao Xiao-Shan 
Published: November 2023

Abstract
In CNC machining, G01 codes are widely used to represent the tool path. Directly interpolating these G01 codes is time-consuming and may cause discontinuities. In this paper, we propose a time-spline curve fitting method that combines tool path fitting and feedrate scheduling into a single step for five-axis CNC machining. The input for this method consists of a three-dimensional linear path of the tool tip in the workpiece coordinate system and two-dimensional tool orientations in the machine coordinate system (MCS). The output is a fitted tool path in the MCS represented by a five-dimensional smooth time-parametric B-spline curve, simply referred to as the time-spline curve. The time-spline curve provides not only position information but also kinematic information, including velocity, acceleration, and jerk for each axis, directly derived from the first, second, and third derivatives of the curve. To meet fitting error constraints and axial kinematic constraints, our objective is to find the time-spline curve that is time-optimal. We formulate the optimization problem as a nonlinear optimization model and design a recursive algorithm to solve it. The resulting time-spline curve demonstrates high accuracy and fully utilizes the machine’s kinematic capabilities. Along the tool path defined by the time-spline curve, exact interpolation points can be straightforwardly obtained according to the interpolation period. Simulations and experimental results indicate that the proposed method yields a time-optimal time-spline curve with the desired precision and kinematic constraints.
Sublethal effect of chlorpyrifos on predatory behavior and physiology of Eocanthecona furcellata (Hemiptera: Pentatomidae)
Authors: Xu Shu , Yao Qiong , Quan Linfa , Dong Yizhi , Chen Bingxu , Zeng Dongqiang 
Published: November 2023

Abstract
Insecticides have been known to reduce the predation efficacy of natural enemies. However, the mechanism of the sublethal effect of insecticides on the functional response of predators remains unclear. This study investigated the sublethal effects of the broad-spectrum insecticide chlorpyrifos on the predatory bug Eocanthecona furcellata (Wolff), which is a potential biological control agent against pests in integrated pest management (IPM) programs. After exposure to a sublethal concentration of chlorpyrifos, the predation capacity and the maximum predatory number of E. furcellata increased by 11.27 and 15.26%, respectively, with prey handling time decreased by 15.07%, and the searching efficiency increased by 5.88–12.61%. Additionally, the intraspecific interference effect was enhanced. Glutathione S-transferase (GST) activity was significantly decreased after 12- to 60-h treatment. At 12 h after treatment, the expression levels of GST gene (GST3), acetylcholinesterase gene (AChE), and cytochrome P450 monooxygenasegene (cyp6B1) were significantly up-regulated by 1.47-, 1.48-, and 2.05-fold, respectively, while GST gene (GST1) was significantly down-regulated by 16.67-fold. These results indicated that a sublethal chlorpyrifos concentration inhibited the GST activity and stimulated the predatory behavior of E. furcellata. The results will advance our understanding of the toxicological mechanism of predatory stink bug responses to insecticides and predict chlorpyrifos’ effects on predators in an IPM program.
Development and evaluation of a rapid one-step high sensitivity real-time quantitative PCR system for minor BCR-ABL (e1a2) test in Philadelphia-positive acute lymphoblastic leukemia (Ph+ ALL)
Authors: Hidaka Michihiro , Inokuchi Koiti , Uoshima Nobuhiko , Takahashi Naoto , Yoshida Nao , Ota Shuichi , Nakamae Hirohisa , Iwasaki Hiromi , Watanabe Kenichiro , Kosaka Yoshiyuki , Komatsu Norio , Meguro Kuniaki , Najima Yuho , Eto Tetsuya , Kondo Takeshi , Kimura Shinya , Yoshida Chikashi , Ishikawa Yuichi , Sawa Masashi , Hata Tomoko , Horibe Keizo , Iida Hiroatsu , Shimomura Takeshi , Dobashi Nobuaki , Sugiura Isamu , Makiyama Junya , Miyagawa Naoyuki , Sato Asuka , Ito Ryuta , Matsumura Itaru , Kanakura Yuzuru , Naoe Tomoki 
Published: November 2023

Abstract

Objective
Minimal residual disease assessment of BCR-ABL messenger ribonucleic acid levels is crucial in Philadelphia chromosome-positive acute lymphoblastic leukemia for prognosis and treatment planning. However, accurately quantifying minor BCR-ABL transcripts, which comprise 70% of Philadelphia chromosome-positive acute lymphoblastic leukemia cases, lacks a national-approved method.

Methods
We developed the “Otsuka” minor BCR-ABLmessenger ribonucleic acid assay kit with exceptional precision (0.00151%). Minor BCR-ABL messenger ribonucleic acid levels were analyzed in 175 adults, 36 children with acute lymphoblastic leukemia and 25 healthy individuals to evaluate the kit’s performance.

Results
The “Otsuka” kit showed high concordance with a commonly used chimeric gene screening method, indicating reliable detection of positive cases. Quantitative results demonstrated a robust correlation with both a laboratory-developed test and a diagnostic research product. The “Otsuka” kit performs comparably or even surpass to conventional products, providing valuable insights into Philadelphia chromosome-positive acute lymphoblastic leukemia pathology.

Conclusions
The ‘Otsuka” minor BCR-ABL messenger ribonucleic acid assay kit exhibits excellent performance in quantifying minor BCR-ABL transcripts in Philadelphia chromosome-positive acute lymphoblastic leukemia patients. Our results align well with established screening methods and show a strong correlation with laboratory-developed tests and diagnostic research products. The “Otsuka” kit holds great promise as a valuable tool for understanding Philadelphia chromosome-positive acute lymphoblastic leukemia pathology and guiding effective treatment strategies.