bluuebunny/crossref_metadata_2025_split huggingface dataset:
UrbanBus: a fine-grained dataset for bus ridership analysis
Authors: Ke Liwen , Guo Xiangyu , Li Tianrui , Li Chongshou 
Published: December 2024

Abstract
Bus ridership analysis plays a critical role in intelligent transportation systems. Numerous methods have been proposed for this purpose. However, compared to other public transportation modes (e.g. metro, taxi), there is a lack of public datasets for bus ridership analysis, including forecasting, scheduling, and clustering. To address this issue, this note presents a novel bus ridership dataset, UrbanBus, consisting of approximately 727 million automatic fare collection transactions collected over six months from the intelligent transportation system in a major Asian city. The unique characteristic of the dataset is its fine granularity at the transaction level. The time granularity is at the second level, allowing for various aggregation operations for high-level analysis. Additionally, the bus routes and pairwise distances between stops are provided. This dataset is expected to benefit the intelligent transportation research community and is publicly available at: https://github.com/ableyyyx/UrbanBus.
Clearance of archived integrase strand transfer inhibitors resistance mutations in people with virologically suppressed HIV infection
Authors: Abdi Basma , Palich Romain , Seang Sophie , Fauchois Antoine , Cocherie Théophile , Faycal Antoine , Sayon Sophie , Teyssou Elisa , Saliba Sanaa , Soulie Cathia , Valantin Marc Antoine , Pourcher Valérie , Katlama Christine , Calvez Vincent , Marcelin Anne-Geneviève , Wirden Marc 
Published: December 2024

Abstract

Introduction
We assessed the kinetics of the clearance of integrase strand transfer inhibitors resistance mutations (INSTIs-RMs) and associated factors from people living with HIV (PWH) displaying suppressed viral replication after virological failure (VF) on an INSTI regimen.

Patients and methods
We included PWH with HIV-RNA viral loads ≤20 copies/mL for at least 5 years in whom INSTIs-RM had been identified at least once in a prior RNA resistance genotyping test. HIV DNAs were sequenced by Sanger sequencing (SS) and ultra-deep sequencing (UDS; detection threshold: 5%) every year over the preceding 5 years.

Results
We included 39 PWH in the study. Most (95%) had experienced VF on a raltegravir-containing regimen. The past INSTIs-RMs were not detected in the peripheral blood mononuclear cells of 35 of the 39 (90%) PWH by SS at the end of follow-up. In a longitudinal analysis (2017–21) based on UDS, the previously detected INSTIs-RMs were not detected in 29 of the 35 (83%) PWH. In multivariable analysis, the duration of viral replication and the level of HIV-RNA during prior VF were significantly associated with the persistence of INSTIs-RM, with odds ratios of 1.05 per week of replication (95% CI, 1.00–1.11; P = 0.024) and 8.26 per log10 copies/mL (95% CI, 1.46–46.59; P = 0.017).

Conclusions
We observed a clear trend towards the clearance of archived INSTIs-RM after a long period of virological control leading to changes in the resistance profile in cellular DNA, raising the possibility of studies assessing the recycling of INSTI classes even in the presence of a history of resistance.
Do electronic health records used by primary care practices support recommended alcohol-related care?
Authors: Bradley Katharine , McCormack James , Addis Megan , Hamilton Leah K , Lapham Gwen T , Jonas Daniel , Bishop Dawn , Parsons Darla , Budimir Cheryl , Sanchez Victoria , Bannon Jennifer , Villalobos Gabriela , Krist Alex H , Walunas Theresa , Day Anya 
Published: December 2024

Abstract

Objective
The quality of alcohol-related prevention and treatment in US primary care is poor. The purpose of this study was to describe the extent to which Electronic Health Records (EHRs) used by 167 primary care practices across 7 states currently include the necessary prompts, clinical support, and performance reporting essential for improving alcohol-related prevention and treatment in primary care.

Materials and Methods
Experts from five regional quality improvement programs identified basic EHR features needed to support evidence-based alcohol-related prevention (ie, screening and brief intervention) and treatment of alcohol use disorders (AUD). Data were collected regarding whether EHRs included these features.

Results
EHRs from 21 vendors were used by the primary care practices. For prevention, 62% of the 167 practices’ EHRs included a validated screening questionnaire, 46% automatically scored the screening instrument, 62% could report the percent screened, and 37% could report the percent screening positive. Only 7% could report the percent offered brief intervention. For alcohol treatment, 49% of practices could report the percent diagnosed with AUD, 58% and 91% allowed documentation of referral and treatment with AUD medication, respectively. Only 3% could report the percent of patients diagnosed with AUD who received treatment.

Discussion
Most EHRs observed across 167 primary care practices across 7 US states lacked basic functionality necessary to support evidence-based alcohol-related prevention and AUD treatment. Only 3% and 7% of EHRs, respectively, included the ability to report widely recommended quality measures needed to improve the quality of recommended alcohol-related prevention and treatment in primary care.

Conclusion
Improving EHR functionality is likely necessary before alcohol-related primary care can be improved.
Minimizing energy usage in multi-point manufacturing: a dimensional transfer learning strategy
Authors: Liu Jie , Yap Hwa Jen , Khairuddin Anis Salwa Mohd 
Published: December 2024

Abstract
With the increasing complexity of industrial manufacturing tasks, optimizing Multi-Point Manufacturing (MPF) operations, such as drilling and spot welding, has become essential for improving energy efficiency and execution speed. These tasks can be formulated as multi-dimensional Traveling Salesman Problems (TSPs), where robotic manipulators must traverse multiple points optimally while minimizing energy consumption. However, traditional heuristic algorithms, such as Genetic Algorithm (GA) and Ant Colony Optimization (ACO), face significant limitations. Their iterative nature leads to long computation times, and their performance heavily relies on precise parameter tuning to achieve high-quality solutions. To address these challenges, this study proposes a novel minimum energy consumption scheduling strategy for MPF problems, utilizing a Graph Neural Network (GNN)-based approach enhanced by Transfer Learning. The method employs Self-Adjusting Multi-modal Artificial Neural Networks (SAMANN) to reduce the 6D task nodes into a 2D representation, enabling the reuse of pre-trained 2D TSP models. Fine-tuning is then applied to further optimize performance. Compared with traditional heuristic algorithms, the proposed method significantly reduces computation time while maintaining solution quality. It is also found that the new approach surpasses the performance of the current state-of-the-art (SOTA) neural model in terms of both solution quality and training time across multi-dimensional TSPs and MPF problem domains, offering a robust and efficient solution for real-world MPF applications.
Deaf adult insights into elements of classroom discourse altered in interpretation
Authors: Crume Peter Kirk , Langer Elizabeth Caldwell 
Published: December 2024

Abstract
In this study, 19 college-educated deaf adults with experience using interpreters in educational settings provided insights into how successfully various elements of classroom discourse were preserved through interpretation. The deaf adults, fluent in American Sign Language (ASL) and experienced at using interpreters, watched educational interpreters’ renditions of an elementary school art lesson, and answered questions, providing information about the clarity, completeness, and coherence of the message. Next, the deaf adults were asked to compare what they saw in the first interpretation of the lesson to what was conveyed in a second iteration by a highly experienced interpreter familiar with the lesson whose first language is ASL. A control group of 16 hearing adults accessing the lesson directly from the teacher answered the same questions. For the elements of classroom discourse studied—main ideas, project instructions, mental state references, and relevance strategies—results showed a substantial difference between what the hearing participants in the direct presentation condition received and what the deaf adults accessing the message through the educational interpreters received. Qualitative analyses of the differences—between the direct versus interpreted versions and between the deaf participants’ responses to the two interpretations—revealed tendencies for, and ramifications of, alterations and omissions in classroom discourse.
Sexual function and pregnancy outcomes after periacetabular osteotomy: a systematic review
Authors: Hutchinson Katie , Baig Khurram , Smith Christian , Malviya Ajay 
Published: December 2024

Abstract
Periacetabular osteotomy (PAO) is a surgical treatment of developmental dysplasia of the hip (DDH). This systematic review investigates the impact PAO has on sexual function and pregnancy through changes in patient-reported outcomes. A literature search of Medline, PubMed, EMBASE, and the Cochrane Library from 1996 to November 2023 was performed. Search terms included: ‘periacetabular osteotomy’, ‘pelvic osteotomy’, ‘outcomes’, ‘sexual function’, ‘pregnancy’, and ‘childbirth’. Assessment of methodological quality was performed using the methodological index for nonrandomized studies (MINORS) criteria and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) system. The search returned 560 papers, with 5 meeting the inclusion criteria. Sexual function improved over both short- and longer-term follow-up periods. 48.2% of patients had improved sexual function following PAO. Female patients reported greater improvement than males, who had a higher baseline score. No complications were documented in pregnancy or delivery compared to patients who had not had a PAO. Increased rates of caesarean sections (CSs) were seen in all studies (37.4%) compared to the European average. All five papers were calculated to be of low quality according to the MINORS criteria and low certainty according to the GRADE level of evidence. Patients receiving a PAO due to symptomatic DDH had improved sexual dysfunction due to a reduction in hip pain, but almost half of these patients may not appreciate any benefit. There is an increased likelihood of CS in patients post-PAO, with no reliable evidence for its necessity. Limitations of this review included poor quality and availability of evidence, as all studies were retrospective cohort studies. Further larger powered studies are required to assess the full impact of PAO on both sexual function and pregnancy.
Assessment and management of periacetabular aneurysmal bone cysts—a series of four cases
Authors: Beyer Reagan S H , Steiner Quinn , Hennessy David W , Rosas Humberto G , Goodspeed David C , Spiker Andrea M 
Published: December 2024

Abstract
Aneurysmal bone cysts (ABCs) in the periacetabular region can be challenging to treat because they create unique problems, given their proximity to articular cartilage and a significant weight bearing surface. This case series details the assessment and treatment of four periacetabular ABCs with a review of pertinent current literature. Treatment approaches used include curettage with 6% phenol chemical adjuvant, type III hemipelvectomy, serial image-guided sclerotherapy injections, and in one case, an exostotic lesion was treated with hip arthroscopy.
Justification, margin values, and analysis populations for oncologic noninferiority and equivalence trials: a meta-epidemiological study
Authors: Kleber Troy J , Sherry Alexander D , Arifin Andrew J , Kupferman Gabrielle S , Kouzy Ramez , Abi Jaoude Joseph , Lin Timothy A , Beck Esther J , Miller Avital M , Passy Adina H , McCaw Zachary R , Msaouel Pavlos , Ludmir Ethan B 
Published: December 2024

Abstract

Background
Noninferiority and equivalence trials evaluate whether an experimental therapy’s effect on the primary endpoint is contained within an acceptable margin compared with standard of care. The reliability and impact of this conclusion, however, is largely dependent on the justification for this design, the choice of margin, and the analysis population used.

Methods
A meta-epidemiological study was performed of phase 3 randomized noninferiority and equivalence oncologic trials registered at ClinicalTrials.gov. Data were extracted from each trial’s registration page and primary manuscript.

Results
We identified 65 noninferiority and 10 equivalence trials that collectively enrolled 61 632 patients. Of these, 61 (81%) trials demonstrated noninferiority or equivalence. A total of 65 (87%) trials were justified in the use of a noninferiority or equivalence design either because of an inherent advantage (53 trials), a statistically significant quality-of-life improvement (6 trials), or a statistically significant toxicity improvement (6 trials) of the interventional treatment relative to the control arm. Additionally, 69 (92.0%) trials reported a prespecified noninferiority or equivalence margin of which only 23 (33.3%) provided justification for this margin based on prior literature. For trials with time-to-event primary endpoints, the median noninferiority margin was a hazard ratio of 1.22 (range = 1.08-1.52). Investigators reported a per-protocol analysis for the primary endpoint in only 28 (37%) trials.

Conclusions
Although most published noninferiority and equivalence trials have clear justification for their design, few provide rationale for the chosen margin or report a per-protocol analysis. These findings underscore the need for rigorous standards in trial design and reporting.
Spotlight on identity construction among professionals transitioning to an emerging occupation
Authors: Courtois Cynthia , Picard Claire-France , Gendron Yves 
Published: December 2024

Abstract
The contemporary work environment is characterized by frequent transitions throughout an individual’s career. A relatively recent trend concerns established professionals relocating in newly emerging occupations. Despite the extensive research conducted on the construction of professional identity, there is still a dearth of knowledge regarding how occupational identity is formed. The aim of this study is to gain a deeper understanding of the process through which professionals (re)construct their occupational identity when making a career transition to an emerging occupation. Drawing on twenty-seven interviews with professionals in the accounting and law enforcement fields who have transitioned to the emerging antifraud occupation, we explore how they navigate tensions between different aspirational, professional, and expected identities, and how they employ strategies to establish or blur boundaries to define their emerging occupational identity. This study offers a deeper understanding of the process by which a coherent occupational identity is constructed and shaped by interaction between multiple identities. This research contributes to the literature on career transitions by developing a more nuanced understanding of the occupational boundary strategies that professionals employ to construct a coherent occupational identity during a career transition. Further, our study underscores a pivotal concern regarding the maintenance of professionalism as professionals move into nascent occupational roles. In such circumstances, the definition of occupational identity may be less clearly delineated, and the establishment of rule-setting may be primarily determined by the organization’s management, thus curtailing the autonomy traditionally associated with professionalism.
A statistical assessment of influenza intensity thresholds from the moving epidemic and WHO methods
Authors: Bracher Johannes , Littek Jonas M 
Published: December 2024

Abstract
Monitoring influenza activity is a key task of public health agencies worldwide. Intensity thresholds serve to retrospectively classify season peak intensity and to compare current influenza activity to past peak values. The resulting classifications into low, medium, high, or very high intensity inform national-level risk assessment and planning. Moreover, they feed into international summary reports. Two common thresholding approaches, recommended in dedicated WHO guidelines, are the moving epidemic method (MEM) and the WHO method. In both approaches, thresholds correspond to quantiles of a normal distribution fitted to a set of historical observations. While an extensive literature on applications of these methods exists, their statistical properties have not been assessed systematically. In this article, we study them analytically and in a simulation study based on re-sampling of French influenza surveillance data. Moreover, extensions to account for small sample sizes and secular trends are described. Under the default settings, both the MEM and WHO method on average classify more seasons than intended as high or very high intensity. Combining characteristics of both and adding a small-sample correction, better-calibrated thresholds can be achieved. Even these, however, have modest sensitivity and positive predictive values. This concerns especially thresholds for very high intensity.
Bidimensional latent regression item response models for the assessment of financial knowledge in the presence of ‘Don’t Know’ responses
Authors: Aristei David , Bacci Silvia , Gallo Manuela , Iannario Maria 
Published: December 2024

Abstract
Increasing attention has been recently paid to assessing individuals’ financial competence. Financial knowledge appears as a complex and not directly observable phenomenon, whose measurement is usually based on answers to a set of multiple-choice items. The option ‘Don’t Know’ (DK) is usually included among the possible answers to capture uncertainty or lack of knowledge. Its presence represents an element of noise that can affect the measurement of financial knowledge. DK responses are usually considered as incorrect answers or missing values; however, these naive approaches may lead to biased financial knowledge measures. In this study, we address the issue of estimating the latent knowledge construct accounting for the DK option, through a bidimensional latent dregression two-parameter logistic model. The model at issue relies on the assumption that the response process may be disentangled in two consecutive steps driven by two latent variables: propensity to provide a substantive answer and financial knowledge. In the first step, both latent variables affect the probability of providing a substantive response. In the second step, conditionally on the selection of a substantive response, financial knowledge affects the probability of a correct answer vs. an incorrect one. Individual characteristics are also considered to explain the two latent traits.
Rare appendicular anomaly of horseshoe appendix diagnosed intra-operatively during laparoscopic appendectomy: case report
Authors: Almalki Ahmed , Alotaibi Ahad , Alzamel Heythem , Albuthi Saud 
Published: December 2024

Abstract
Acute appendicitis is the most common cause of lower abdominal pain among patients presented to the Emergency Department. Appendicular anomalies in general are rare, and the horseshoe appendix is considered the rarest, with few reported cases in the literature. We are presenting a young female patient, medically and surgically free, who presented to the Emergency Department with persistent right lower quadrant, associated with vomiting for 2 days. Vitally was stable, and labs were remarkable for leukocytosis and neutrophil shift. Abdomen CT scan showed a dilated appendix up to 1 cm with mural edema and hyperenhancement surrounded by mild fat stranding, minimal free fluid, and thickened adjacent peritoneal reflection. In conclusion, routinely performed surgeries can surprise the surgeon with unusual findings. Knowing the anatomy and possible associated anomalies is a cornerstone for any surgery. Even with the rarity of these anomalies, a high index of suspicion and careful recognition are required.
Utilizing a surgical sabermetrics framework to evaluate the impact of simulated operative crises on trainee cognitive load and non-technical skills
Authors: Norton Joel , Geraghty Alistair , Howie Emma , Boyle Connor , Yule Steven , Tambyraja Andrew 
Published: December 2024

Abstract
Intraoperative crisis events, such as haemorrhage or iatrogenic perforation, can cause considerable stress in the operating surgeon. Little standardized training exists for managing such events, especially for surgical trainees. Cognitive load (CogL) is the extent to which a task places demands on cognitive resources. Such resources are finite, and when overwhelmed, can lead to stress, which in turn can negatively affect intraoperative technical and non-technical performance. Surgical sabermetrics is a novel field that involves advanced analysis of data obtained from non-invasive physiological sensors measuring surgeon CogL, as well as audiovisual recordings of surgical procedures capturing surgeon technical and non-technical skills. This data-driven approach enhances understanding of factors that can improve, or worsen, surgical performance. ‘Managing Surgical Crises’ is a high-fidelity simulation course which exposes surgical trainees to standardized intraoperative crises with no risk to patient safety. This study aims to apply a sabermetrics framework to the ‘Managing Surgical Crises’ course to gain insight into trainee surgeon CogL and non-technical skills during the introduction and response to crisis events. Surgical trainees will be allocated to a simulated surgical crisis event and tasked with managing the scenario utilizing the Team, Environment, Assess/Analyse/Anticipate, Manage resources (TEAM) algorithm. A sabermetrics framework will be employed to collect quantitative data regarding CogL and non-technical performance. Full ethical approval has been obtained for this study. Dissemination of the results will be through conferences and publications in peer-reviewed journals.