bluuebunny/crossref_metadata_2025_split huggingface dataset:
Localization of coronary bypass targets in hard-to-see coronary arteries
Authors: Gerrah Rabin , Lipe Kristin , Vlahakes Gus J. 
Published: October 2023

Abstract
Background
Precise identification of coronary arteries and selection of anastomotic sites are critical stages of coronary bypass surgery. Visualization of coronary arteries is occasionally challenging when the heart is covered with a thick layer of fat or scar tissue. In this paper, we review the methods to localize the coronary arteries during coronary surgery.

Methods
Prior publications were searched to summarize all available methods for localization of coronary arteries during coronary surgery.

Results
Five clinically recognized and three experimental techniques from the literature review are reviewed and summarized.

Conclusions
Knowledge of various techniques of coronary artery identification in hard-to-see coronary arteries is an important asset in coronary surgery and especially useful during the most critical option of the most common heart surgery.
Monitoring bovine dairy calf health and related risk factors in the first three months of rearing
Authors: Otten Nina Dam , Skarbye Alice Puk , Krogh Mogens Agerbo , Michelsen Anne Marie , Nielsen Liza Rosenbaum 
Published: October 2023

Abstract
Background
Rearing replacement heifers is pivotal for the dairy industry and is associated with high input costs for the preweaned calves, due to their higher susceptibility to diseases. Ensuring calf health and viability calls for systematic approaches in order to mitigate the costs induced by managing sick calves and to ensure animal welfare. The objective of this study was to develop a systematic and feasible health-monitoring tool for bovine dairy calves based on repeated clinical observations and diagnostic results of calves at three time points; the 1st (T0), the 3rd (T1) and the 12th (T3) week of age. The study included observations from 77 dairy heifer calves in nine Danish commercial dairy herds. Immunisation status was assessed by serum Brix% at T0. Clinical scoring included gastrointestinal disease (GD) and respiratory disease (RD). The average daily weight gain (ADWG) was estimated from heart-girth measurements. Pathogen detection from nasal swabs and faecal samples were analysed for 16 respiratory and enteric pathogens by means of high-throughput real time-PCR. All measures obtained in each herd were visualised in a panel to follow the health status of each calf over time.

Results
The individual clinical observations combined with diagnostic information from immunisation and pathogen detection form each enrolled calf are presented in a herd dashboard illustrating the health status over the study period. This monitoring revealed failure of passive transfer (Brix% < 8.1) in 31% of the 77 enrolled calves, signs of severe GD peaked at T0 with 20% affected calves, while signs of severe RD peaked at T2 with 42% affected calves. ADWG over the first eight weeks was estimated to be 760 g (± 190 g). Pathogen profiles varied between herds.

Conclusions
The large variation in both clinical disease and pathogen occurrence across herds emphasizes the need for herd specific monitoring. Combining the results of the present study from measures of immunisation, health and growth from individual calves in one visualisation panel allowed for the detection of patterns across age groups in the specific herds, showing promising potential for early detection and interventions that can lead to enhanced calf health and welfare.
Randomized phase III trial evaluating motivational interviewing and text interventions to optimize adherence to breast cancer endocrine therapy (Alliance A191901): the GETSET protocol
Authors: Ivory Joannie , Wheeler Stephanie B. , Drier Sarah , Gunn Heather , Zahrieh David , Paskett Electra , Naughton Michelle , Wills Rachel , Swetel Kayla , Chow Selina , Reeder-Hayes Katherine 
Published: October 2023

Abstract
Background
Hormone receptor-positive (HR +) breast cancer is the most common type of breast cancer in the USA but has excellent long-term outcomes in recent decades, in part due to effective oral endocrine therapy (ET). ET medications are typically prescribed for 5 to 10 years, depending on the risk of recurrence, and must be taken daily. One limiting factor to ET efficacy is nonadherence, with high-risk groups for nonadherence including younger women and Black women.

Methods
The Alliance for Clinical Trials in Oncology (Alliance) trial A191901 is an ongoing, four-arm (text message reminder (TMR), motivational interviewing (MI), TMR plus MI, or enhanced usual care) randomized clinical trial that tests the efficacy and effect of two interventions (TMR and/or MI) on improved ET adherence, patient-reported outcomes (PROs), and resource use requirements among HR + breast cancer survivors. Participants are randomized in a 1:1:1:1 ratio to the four arms. With an assumed loss to follow-up of approximately 11%, we plan to recruit 1180 participants. Randomization is stratified based on age and race to ensure balance between the arms, and we oversample younger and Black women, with each group representing 30% of the study population. Participants randomized to an intervention will actively participate in the intervention for 9 months, and all participants will be followed for adherence data and PRO endpoints, through the use of the Pillsy cap medication event monitoring system and Alliance ePRO survey app (i.e., Patient Cloud). The primary analysis will compare Pillsy-measured ET adherence among study arms at 12 months.

Discussion
This multisite study will not only define strategies to improve adherence to breast cancer oral therapies, but it will also potentially support strategies in large cooperative research groups that can increase delivery and tolerability of ET, involve diverse patient populations in clinical research, and engage patients effectively in interventional studies, using remote and cost-effective delivery methods.

Trial registration
Clinicaltrials.gov NCT04379570. Registered on 7 May 2020.
Injuries in professional women’s elite soccer players in Kosovo: epidemiological injury study
Authors: Gashi Feim , Kovačič Tine , Shalaj Ismet , Haxhiu Bekim , Boshnjaku Arben 
Published: October 2023

Abstract
Background
An emphasis has been given lately towards women’s engagement together with their potential in soccer. As this sport develops with athletes becoming more physically fit and skilled, it is unclear what the consequences in terms of injuries are. Having this in mind, this study aimed to investigate the major injuries that occur in women’s soccer players.

Methods
This descriptive epidemiological study invited all 286 women’s soccer players from the 12 participating women clubs in the Kosovo 1st Soccer League (elite football level) during the 2021/2022 season, out of which 142 from 12 clubs participated. Exposure time for 1000 h of playing and training were recorded in addition to the anthropometric data, playing position, and prior injury history during the end of the season, practice, and match. The exact type of injury, severity, and post-injury recovery time, as well as the circumstances surrounding the injuries, were recorded.

Results
In total 84 injuries were registered with an overall injury ratio (IR) being 3.21 (CI: 2.56, 3.98) injuries/1000 exposure hours. During the competitive season, each player sustained 1.4 injuries on average. IRs were significantly higher during competition (n = 50; IR = 1.57; CI: 1.52, 1.62) compared to training (n = 34; IR = 0.26, CI: 0.25, 0.27). Out of a total of 142 women players, 84 (59.2%) injuries occurred, and no record of injuries was made in 58 (40.8%) players. The overall IR was observed to be 3.21 (CI: 1.24, 3.27), with moderate and severe injuries accounting for 38.1% of total injuries (each), followed by mild (16.7%) and minimal (7.1%) injuries.

Conclusion
The women IR in Kosovo women’s soccer players is low while being circa 11% below the international average. Almost 2 out of every 4 injuries were categorized as traumatic, with the IRs being more than 5-fold larger during games than during training. Additionally, these findings emphasize the higher rate of injuries amongst younger athletes, suggesting caution to be taken by the coaches when planning for the match. The collected data may help coaches and trainers create more targeted women’s soccer injury prevention programs.
Bloom filters for molecules
Authors: Medina Jorge , White Andrew D. 
Published: October 2023

AbstractUltra-large chemical libraries are reaching 10s to 100s of billions of molecules. A challenge for these libraries is to efficiently check if a proposed molecule is present. Here we propose and study Bloom filters for testing if a molecule is present in a set using either string or fingerprint representations. Bloom filters are small enough to hold billions of molecules in just a few GB of memory and check membership in sub milliseconds. We found string representations can have a false positive rate below 1% and require significantly less storage than using fingerprints. Canonical SMILES with Bloom filters with the simple FNV (Fowler-Noll-Voll) hashing function provide fast and accurate membership tests with small memory requirements. We provide a general implementation and specific filters for detecting if a molecule is purchasable, patented, or a natural product according to existing databases at https://github.com/whitead/molbloom.
Deep encoder/decoder dual-path neural network for speech separation in noisy reverberation environments
Authors: Wang Chunxi , Jia Maoshen , Zhang Xinfeng 
Published: October 2023

AbstractIn recent years, the speaker-independent, single-channel speech separation problem has made significant progress with the development of deep neural networks (DNNs). However, separating the speech of each interested speaker from an environment that includes the speech of other speakers, background noise, and room reverberation remains challenging. In order to solve this problem, a speech separation method for a noisy reverberation environment is proposed. Firstly, the time-domain end-to-end network structure of a deep encoder/decoder dual-path neural network is introduced in this paper for speech separation. Secondly, to make the model not fall into local optimum during training, a loss function stretched optimal scale-invariant signal-to-noise ratio (SOSISNR) was proposed, inspired by the scale-invariant signal-to-noise ratio (SISNR). At the same time, in order to make the training more appropriate to the human auditory system, the joint loss function is extended based on short-time objective intelligibility (STOI). Thirdly, an alignment operation is proposed to reduce the influence of time delay caused by reverberation on separation performance. Combining the above methods, the subjective and objective evaluation metrics show that this study has better separation performance in complex sound field environments compared to the baseline methods.
Participant attention on the intervention target during repetitive passive movement improved spinal reciprocal inhibition enhancement and joint movement function
Authors: Hirabayashi Ryo , Edama Mutsuaki , Takeda Mai , Yamada Yuki , Yokota Hirotake , Sekine Chie , Onishi Hideaki 
Published: October 2023

AbstractThis study aimed to evaluate the effects of the participant’s attention target during repetitive passive movement (RPM) intervention on reciprocal inhibition (RI) and joint movement function. Twenty healthy adults participated in two experiments involving four attention conditions [control (forward attention with no RPM), forward attention (during RPM), monitor attention (monitor counting task during RPM), ankle joint attention (ankle movement counting task during RPM)] during 10-min RPM interventions on the ankle joint. Counting tasks were included to ensure the participant’s attention remained on the target during the intervention. In Experiment 1, RI was measured before, immediately after, and 5, 10, 15, 20, and 30 min after the RPM intervention. In Experiment 2, we evaluated ankle joint movement function at the same time points before and after RPM intervention. The maximum ankle dorsiflexion movement (from 30° plantar flexion to 10° dorsiflexion) was measured, reflecting RI. In Experiment 1, the RI function reciprocal Ia inhibition was enhanced for 10 min after RPM under all attention conditions (excluding the control condition. D1 inhibition was enhanced for 20 min after RPM in the forward and monitor attention conditions and 30 min after RPM in the ankle joint attention condition. In Experiment 2, the joint movement function decreased under the forward and monitor attention conditions but improved under the ankle joint attention condition. This study is the first to demonstrate that the participant’s attention target affected the intervention effect of the RI enhancement method, which has implications for improving the intervention effect of rehabilitation.
Put your phone down! Perceived phubbing, life satisfaction, and psychological distress: the mediating role of loneliness
Authors: Maftei Alexandra , Măirean Cornelia 
Published: October 2023

AbstractThe recent literature highlights the need to explore phubbing, a worrying growing phenomenon, and the potential associated factors and outcomes. Thus, the present study focused on perceived phubbing and the potential associations with life satisfaction and psychological distress. Additionally, this study examined the mediating role of loneliness. The cross-sectional, web-based study involved 720 Romanian adults aged 18 to 77 (M = 24.12, SD = 8.80, 74% females) who completed self-reported scales measuring perceived phubbing, and life satisfaction. Results suggested positive associations between perceived phubbing, loneliness, and psychological distress. A significant negative association was also found between loneliness and life satisfaction. Further analyses suggested that loneliness partially mediated the link between perceived phubbing and life satisfaction and between perceived phubbing and psychological distress. The study highlights the significant role of perceived phubbing when discussing psychological distress and life satisfaction, underlining the need to address further the (mis)use of digital devices (e.g., smartphones) within interpersonal relationships, as well as the need to understand better the outcomes of such behaviors to shape effective interventions in this regard.
Dermal effects and pharmacokinetic evaluation of the lidocaine/prilocaine cream in healthy Chinese volunteers
Authors: Li Lingjun , Cai Baole , Li Hongyang , Wei Jun , Tao Lei , Ma Pengcheng 
Published: October 2023

Abstract
Background
EMLA cream is a local anesthetic. The pharmacokinetics and dermal effects of a topical anesthetic formulation has not been evaluated in healthy Chinese volunteers.

Materials and methods
The Pharmacokinetics of the lidocaine/prilocaine test (T) or reference (R, EMLA) cream were evaluated in a fasting, single-dose, two-period crossover bioequivalent study conducted in 40 healthy Chinese volunteers. Meanwhile, the dermal effects including blanching, erythema, temperature sensation, edema, and skin rash were also evaluated during the study.

Results
After applied 15 g of the cream for 4 h to a 100 cm2 area under plastic occlusive film on the skin of the thigh of healthy volunteers, the results of the pharmacokinetic study showed that the active components absorbed in skin from topical products was relatively low compared with most system absorption drugs. After the removal of the residual anesthetic cream, there was a vascular biphasic response with initial transient blanching which reaches a peak at 4.5 h and later more persisting period erythema. The change of temperature sensory sensitivity reached the peak value at 4.5-6 h.There was no statistically significant difference of the changes after application the lidocaine/prilocaine T or R cream in subjects. In general, the lidocaine/prilocaine T or R cream was well tolerated.

Conclusion
The method described a model for investigations of pharmacokinetics and pharmacodynamics of topical lidocaine/prilocaine cream. Except the plasma drug level indicator, these pharmacodynamics data should also be evaluated in the anesthetic transdermal pharmacokinetics study.

Clinical Trial Registration
CTR20211544; registered in http://www.chinadrugtrials.org.cn/ at September 2021.
Investigating the effectiveness of one-class and binary classification for fraud detection
Authors: Leevy Joffrey L. , Hancock John , Khoshgoftaar Taghi M. , Abdollah Zadeh Azadeh 
Published: October 2023

AbstractResearch into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the Medicare Part D dataset, both of which are highly imbalanced. The Credit Card Fraud Detection Dataset is large data and contains actual transactional content, which makes it an ideal benchmark for credit card fraud detection. The Medicare Part D dataset is big data, providing researchers the opportunity to examine national trends and patterns related to prescription drug usage and expenditures. This paper presents a detailed comparison of One-Class Classification (OCC) and binary classification algorithms, utilizing eight distinct classifiers. OCC is a more appealing option, since collecting a second label for binary classification can be very expensive and not possible to obtain within a reasonable time frame. We evaluate our models based on two key metrics: the Area Under the Precision-Recall Curve (AUPRC)) and the Area Under the Receiver Operating Characteristic Curve (AUC). Our results show that binary classification consistently outperforms OCC in detecting fraud within both datasets. In addition, we found that CatBoost is the most performant among the classifiers tested. Moreover, we contribute novel results by being the first to publish a performance comparison of OCC and binary classification specifically for fraud detection in the Credit Card Fraud and Medicare Part D datasets.
Recent advances in nitrogen and nano-nitrogen fertilizers for sustainable crop production: a mini-review
Authors: Verma Krishan K. , Song Xiu-Peng , Degu Hewan Demissie , Guo Dao-Jun , Joshi Abhishek , Huang Hai-Rong , Xu Lin , Singh Munna , Huang Dong-Liang , Rajput Vishnu D. , Li Yang-Rui 
Published: October 2023

AbstractTo meet the global food demand while maintaining the minimum possible negative impacts on the soil, air, and water, sustainable and precise agricultural practices are essential. The efficient use of engineered nanomaterials (ENMs) can replace conventional fertilizers and pesticides, subsequently minimizing the environmental impact of agricultural approaches. Slow-release or controlled-release nitrogenous fertilizers may enhance crop productivity while alleviating agro-environmental constraints. Nitrogen is the essential element which limits worldwide agricultural production. Despite numerous efforts, the N-use efficiency (NUE) in agriculture remains around 50%. The ongoing investigation of novel approaches has resulted in the synthesis of innovative nanomaterials (NMs), providing a potent mechanism for the development of unique element characteristics. The most promising engineered materials being explored, whether for soil or foliar applications, is nanofertilizers. Although not much is known about the usage of NFs, significant results have been observed in various plant species. Granular fertilizers are commonly applied to the soil for the nitrogen requirement of plants. These fertilizers may cause more losses due to the surface runoff or leaching with ammonia volatilization and N oxides (N2O, NO, NOx) emissions. n-NFs are expected to improve NUE by increasing the efficiency of N delivery to plants and minimizing N losses to the environment. A chance to use n-NFs in plants may arise in unique conditions with increasing economic and environmental limitations. This article highlights the possible application of n-NFs as a novel strategy to ensure NUE with the reduction in N losses to the environment, including addressing its potential for sustainable agriculture.
Graphical Abstract
Reproducibility and usefulness of quantitative apparent diffusion coefficient measurements for predicting program death-ligand 1 expression in nasopharyngeal carcinoma
Authors: Zhong Xi , Li Li , Yin Jinxue , Chen Yuanlin , Xin Xin , Yu Lanlan , Tang Yongfang , Zhang Jiangyu , Li Jiansheng 
Published: October 2023

Abstract
Background
Accurate assessment of programmed death-ligand 1 (PD-L1) expression status in nasopharyngeal carcinoma (NPC) before immunotherapy is crucial. We aimed to explore the reproducibility and usefulness of the quantitative apparent diffusion coefficient (ADC) measurements for predicting PD-L1expression status in NPC.

Methods
We retrospectively recruited 134 NPC patients who underwent MRI scans and PD-L1 detection. A PD-L1 combined positive score (CPS) ≥ 20 was identified as high expression status. Patients were divide into two cohorts based on the MRI scanning devices, including a 1.5-T MRI cohort (n = 85, 44 PD-L1 high expression) and a 3.0-T MRI cohort (n = 49, 24 PD-L1 high expression). The mean ADC (ADCmean), minimum ADC (ADCmin) and maximal ADC (ADCmax) values were independently measured by two observers. The ADC measurement reproducibility was assessed by interclass correlation coefficients (ICC). The correlations between ADC parameters and CPS were analyzed by spearman’s correlation coefficient (r), and the performance for PD-L1expression status prediction was assessed by the area under receiver operating characteristic curve (AUC).

Results
The measurement reproducibility of ADCmean, ADCmin and ADCmax was good in the 1.5-T MRI cohort (ICC: 0.843–0.930) and 3.0-T MRI cohort (ICC: 0.929–0.960). The ADCmean, ADCmin, and ADCmax tended to inversely correlate with the CPS (r:-0.37 - -0.52 in the 1.5-T MRI cohort, and − 0.52 - -0.60 in the 3.0-T MRI cohort; P all < 0.01). The ADCmean, ADCmin and ADCmax yielded the AUC of 0.756 (95% CI: 0.651, 0.861), 0.689 (95% CI: 0.576, 0.802), and 0.733 (95%CI: 0.626, 0.839) in the 1.5-T MRI cohort and 0.820 (95%CI: 0.703, 0.937), 0.755 (95% CI: 0.616, 0.894), and 0.760 (95%CI: 0.627, 0.893) in the 3.0-T MRI cohort for predicting PD-L1 high expression status, respectively.

Conclusion
ADC measurements may act as a reproducible and feasible method to predict PD-L1 expression status in NPC.