bluuebunny/crossref_metadata_2025_split huggingface dataset:
Muon $$g-2$$ and W-mass in a framework of colored scalars: an LHC perspective
Authors: Chakrabarty Nabarun , Chakraborty Indrani , Ghosh Dilip Kumar , Saha Gourab 
Published: September 2023

AbstractA color octet isodoublet can have esoteric origins and it complies with minimal flavour violation. In this study, we take a scenario where the well known Type-X Two-Higgs doublet model is augmented with a color octet isodoublet. We shed light on how such a setup can predict the recently observed value for the W-boson mass. The two-loop Barr-Zee contributions to muon $$g-2$$

g
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2

stemming from the colored scalars are evaluated. It is subsequently found that the parameter space compatible with the observed muon $$g-2$$

g
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2

gets relaxed w.r.t. what it is in the pure Type-X 2HDM by virtue of the contribution from the colored scalars. The extended parameter region therefore successfully accounts for both the W-mass and muon $$g-2$$

g
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2

anomalies simultaneously. Finally, a collider signature leading to a $$\tau ^+ \tau ^- b \overline{b}$$

τ
+

τ
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b

b
¯

final state is explored at the 14 TeV LHC using both cut-based and multivariate techniques. Such a signal can confirm the existence of both colorless as well colored scalars that are introduced by this framework.
Cross-Modality Graph-based Language and Sensor Data Co-Learning of Human-Mobility Interaction
Authors: Tabatabaie Mahan , He Suining , Shin Kang G. 
Published: September 2023

Learning the human--mobility interaction (HMI) on interactive scenes (e.g., how a vehicle turns at an intersection in response to traffic lights and other oncoming vehicles) can enhance the safety, efficiency, and resilience of smart mobility systems (e.g., autonomous vehicles) and many other ubiquitous computing applications. Towards the ubiquitous and understandable HMI learning, this paper considers both "spoken language" (e.g., human textual annotations) and "unspoken language" (e.g., visual and sensor-based behavioral mobility information related to the HMI scenes) in terms of information modalities from the real-world HMI scenarios. We aim to extract the important but possibly implicit HMI concepts (as the named entities) from the textual annotations (provided by human annotators) through a novel human language and sensor data co-learning design.
To this end, we propose CG-HMI, a novel Cross-modality Graph fusion approach for extracting important Human-Mobility Interaction concepts from co-learning of textual annotations as well as the visual and behavioral sensor data. In order to fuse both unspoken and spoken "languages", we have designed a unified representation called the human--mobility interaction graph (HMIG) for each modality related to the HMI scenes, i.e., textual annotations, visual video frames, and behavioral sensor time-series (e.g., from the on-board or smartphone inertial measurement units). The nodes of the HMIG in these modalities correspond to the textual words (tokenized for ease of processing) related to HMI concepts, the detected traffic participant/environment categories, and the vehicle maneuver behavior types determined from the behavioral sensor time-series. To extract the inter- and intra-modality semantic correspondences and interactions in the HMIG, we have designed a novel graph interaction fusion approach with differentiable pooling-based graph attention. The resulting graph embeddings are then processed to identify and retrieve the HMI concepts within the annotations, which can benefit the downstream human-computer interaction and ubiquitous computing applications. We have developed and implemented CG-HMI into a system prototype, and performed extensive studies upon three real-world HMI datasets (two on car driving and the third one on e-scooter riding). We have corroborated the excellent performance (on average 13.11% higher accuracy than the other baselines in terms of precision, recall, and F1 measure) and effectiveness of CG-HMI in recognizing and extracting the important HMI concepts through cross-modality learning. Our CG-HMI studies also provide real-world implications (e.g., road safety and driving behaviors) about the interactions between the drivers and other traffic participants.
Dynamic Risk Prediction of Treatment Discontinuation Using Patient-Reported Outcomes Data in the Phase III NSABP B-35 Trial
Authors: Calsavara Vinicius F. , Henry Norah L. , Hays Ron D. , Kim Sungjin , Luu Michael , Diniz Márcio A. , Gresham Gillian , Cecchini Reena S. , Yothers Greg , Ganz Patricia A. , Rogatko André , Tighiouart Mourad 
Published: September 2023

Abstract

Predicting an individual's risk of treatment discontinuation is critical for the implementation of precision chemoprevention. We developed partly conditional survival models to predict discontinuation of tamoxifen or anastrozole using patient-reported outcome (PRO) data from postmenopausal women with ductal carcinoma in situ enrolled in the NSABP B-35 clinical trial. In a secondary analysis of the NSABP B-35 clinical trial PRO data, we proposed two models for treatment discontinuation within each treatment arm (anastrozole or tamoxifen treated patients) using partly conditional Cox-type models with time-dependent covariates. A 70/30 split of the sample was used for the training and validation datasets. The predictive performance of the models was evaluated using calibration and discrimination measures based on the Brier score and AUC from time-dependent ROC curves. The predictive models stratified high-risk versus low-risk early discontinuation at a 6-month horizon. For anastrozole-treated patients, predictive factors included baseline body mass index (BMI) and longitudinal patient-reported symptoms such as insomnia, joint pain, hot flashes, headaches, gynecologic symptoms, and vaginal discharge, all collected up to 12 months [Brier score, 0.039; AUC, 0.76; 95% confidence interval (CI), 0.57–0.95]. As for tamoxifen-treated patients, predictive factors included baseline BMI, and time-dependent covariates: cognitive problems, feelings of happiness, calmness, weight problems, and pain (Brier score, 0.032; AUC, 0.78; 95% CI, 0.65–0.91). A real-time calculator based on these models was developed in Shiny to create a web-based application with a future goal to aid healthcare professionals in decision-making.

Prevention Relevance:
The dynamic prediction provided by partly conditional models offers valuable insights into the treatment discontinuation risks using PRO data collected over time from clinical trial participants. This tool may benefit healthcare professionals in identifying patients at high risk of premature treatment discontinuation and support interventions to prevent potential discontinuation.
The Anti-Reformist Stance in Investment Law
Authors: Heath J. Benton 
Published: September 2023

Abstract
This article articulates an ‘anti-reformist’ stance toward the reform of international investment law and dispute settlement. The mainstream debates over the future of investment law are generally ‘reformist,’ in the sense that they seek to maintain the system of special legal rights afforded to a discrete class of persons defined as ‘investors’. This system of special rights amplifies investors’ power vis-à-vis other constituencies and is premised on flimsy assumptions about the investor’s vulnerability that are not borne out either in theory or in practice. Drawing on recent work in other fields, this article sketches an anti-reformist approach that asserts these fundamental challenges, even as it remains engaged in contemporary reform debates. It also discusses the near-term implications of this approach for procedural and substantive reform of investment treaties, as well as the long-range goals of an anti-reformist stance.
Mediating between Loss and Order: Reflections on the Paratexts of the Tsinghua Manuscripts
Authors: Xiao Yunxiao 
Published: September 2023

Abstract
This study, emphasizing recently discovered bamboo manuscripts as both cultural documents and material objects, investigates the active and autonomous roles played by the scribes of the Tsinghua manuscript collection. Because pre-imperial textual culture has been presented as having tremendous orthographic flexibility and textual fluidly, the codicological and paratextual properties – titles, slip numbers, punctuation marks, verso lines, etc. – have often been considered as being applied without any overarching rules. Yet despite the difficulty of finding any consistent pattern of material design throughout the entirety of pre-imperial manuscripts, within the Tsinghua University collection, I have found not absolute, yet clear overlaps among the codicological and paratextual designs and the classifications of scribal hands. These overlaps indicate that titles, slip numbers, and punctuation marks were deeply associated with the scribes or producers rather than with the readers or users. Most of the punctuation marks should be viewed as a regulation or instruction for the text’s correctness rather than some readers’ understanding or interpretation. Altogether, these purposeful, pragmatic, and surprisingly advanced paratextual devices resonate with the producers’ deepening concerns about textual loss, and show local and even individual efforts and methods to organize and stabilize the ever-changing textual lore.
Perspectives on AI Architectures and Codesign for Earth System Predictability
Authors: Mudunuru Maruti K. , Ang James , Halappanavar Mahantesh , Hammond Simon D. , Gokhale Maya B. , Hoe James C. , Krishna Tushar , Sreepathi Sarat , Norman Matthew R. , Peng Ivy B. , Jones Philip W. 
Published: September 2023

Abstract
Recently, the U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER), and Advanced Scientific Computing Research (ASCR) programs organized and held the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop series. From this workshop, a critical conclusion that the DOE BER and ASCR community came to is the requirement to develop a new paradigm for Earth system predictability focused on enabling artificial intelligence (AI) across the field, laboratory, modeling, and analysis activities, called model experimentation (ModEx). BER’s ModEx is an iterative approach that enables process models to generate hypotheses. The developed hypotheses inform field and laboratory efforts to collect measurement and observation data, which are subsequently used to parameterize, drive, and test model (e.g., process based) predictions. A total of 17 technical sessions were held in this AI4ESP workshop series. This paper discusses the topic of the AI Architectures and Codesign session and associated outcomes. The AI Architectures and Codesign session included two invited talks, two plenary discussion panels, and three breakout rooms that covered specific topics, including 1) DOE high-performance computing (HPC) systems, 2) cloud HPC systems, and 3) edge computing and Internet of Things (IoT). We also provide forward-looking ideas and perspectives on potential research in this codesign area that can be achieved by synergies with the other 16 session topics. These ideas include topics such as 1) reimagining codesign, 2) data acquisition to distribution, 3) heterogeneous HPC solutions for integration of AI/ML and other data analytics like uncertainty quantification with Earth system modeling and simulation, and 4) AI-enabled sensor integration into Earth system measurements and observations. Such perspectives are a distinguishing aspect of this paper.

Significance Statement
This study aims to provide perspectives on AI architectures and codesign approaches for Earth system predictability. Such visionary perspectives are essential because AI-enabled model-data integration has shown promise in improving predictions associated with climate change, perturbations, and extreme events. Our forward-looking ideas guide what is next in codesign to enhance Earth system models, observations, and theory using state-of-the-art and futuristic computational infrastructure.
Validation of the Simplified Chinese Palliative Care Nursing Self-Competence Scale: Two Cross-sectional Studies
Authors: Feng Mei , Wang Fang , Liu Qian , Yang Bing Xiang , Hao Jie , Yu Sihong , Hu Fen , Luo Dan , Chen Jie 
Published: September 2023

Background: Due to the increasing burden of life-limiting illnesses, the need for palliative care has increased. Nurses’ palliative care competence is a vital factor in improving its accessibility. A reliable instrument is needed to measure nurses’ competence in providing palliative care. Objective: Our aim was to translate and culturally adapt the Palliative Care Nursing Self-Competence Scale (PCNSC) into the Palliative Care Nursing Self-Competence Scale–Simplified Chinese (PCNSC-SC). Methods: Two cross-sectional studies were conducted after content validity had been confirmed during the instrument’s translation and adaption. The convergent validity, construct validity, internal consistency, and homogeneity were evaluated in both the first and second studies. Test-retest reliability was assessed only in the first study. Clinical nurses who had a registered nurse qualification certificate and at least 12 months of work experience from a tertiary hospital in Hubei, China participated in the 2 studies. Results: The PCNSC-SC contains 8 dimensions and 34 items, based on goodness-of-fit indices and confirmatory factor analysis. The Cronbach’s alpha of the PCNSC-SC was .984 and .990 in the 2 studies, respectively. The test-retest reliability of the PCNSC-SC after 2 weeks was .717. Conclusion: The PCNSC-SC can be used to evaluate perceived self-competence in palliative care of Chinese nurses with good reliability and validity.
How Large Is Unemployment and Its Impact on Workers’ Economic Leverage?
Authors: Naples Michele I. 
Published: September 2023

The reserve army of the unemployed is typically proxied by the unemployment rate. This article takes seriously measurement choices in calculating unemployment severity. Should everyone experiencing unemployment (unemployment incidence) be the measure? Should “discouraged” and involuntarily part-time workers be included? It then asks the policy question, to what extent have state and federal unemployment-compensation policies increasingly exacerbated unemployment duress? And, it interrogates the impact of women’s paid work on the burden of unemployment on households. JEL Classification: E24, E3
Bee Pollen Stimulated BMP2 and RANK Signaling Pathway in Osteoprogenitors and Improved Bone Mineralization in Rat Model of Femur Fracture
Authors: Zeng Xiaowan , Lin Yajing , Wang Chaonan 
Published: September 2023

Objectives Bee pollen (BP) contains isoflavonoids and minerals that can be effective in bone repair, stimulation of osteoprogenitors, differentiation of osteoblasts, and inhibition of osteoclasts. For this purpose, in the present study, BP was used to stimulate osteogenesis in an animal model of a femur fracture. Materials and Methods After induction of the femur fracture model, 80 Wistar rats in eight groups ( n = 10) were studied as follows. Normal control group (0.5 cc of distilled water, DW/gavage/90 days), BP group (200 mg/kg BP/daily/gavage/90 days), fracture (FX-0.5 cc of distilled water/gavage/90 days), FX group treated with 100 and 200 mg/kg BP (100 and 200 mg/kg BP/daily/gavage/90 days), FX group treated with osteocare (OC) syrup (1 mL/day/gavage/90 days) and combinatorial FX groups treated with BP and OC syrup (100 and 200 mg/kg BP plus 1 mL OC/daily/gavage/90 days). On the 30th, 60th, and 90th days, radiography of the lesion was done. Bone mineral density (BMD) was measured by dual-energy X-ray absorptiometry during the mentioned days. At the end of the study, blood calcium (Ca), phosphorus (P), and alkaline phosphatase (ALP), along with the activity of glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase (CAT) enzymes, and nitric oxide levels, were measured. Calcitonin and parathyroid hormone levels were measured with enzyme-linked immunosorbent assay (ELISA) kits. In order to evaluate the stimulation of osteoprogenitors, the expression of osteoprotegerin (OPG), receptor activator of nuclear factor kappa-B (RANK), receptor activator of nuclear factor kappa-B ligand (RANKL), and bone morphogenetic protein-2 (BMP-2) genes and proteins in bone tissue was measured. Results The evaluations of this study showed that BP could improve BMD parameters through stimulation of the OPG/RANK/BMP-2 pathway. BP also improved serum levels of biochemical factors (Ca, P, and ALP) and hormones related to osteogenesis. Conclusion BP can be used for bone fractures and disorders related to osteoporosis.
Fenestrated Physician-Modified Endovascular Grafts for Aberrant Right Subclavian Artery and/or Kommerell’s diverticulum
Authors: Bacri Christoph , Chastant Robin , Chassin-Trubert Lucien , Hireche MD Kheira , Alric Pierre , Canaud Ludovic 
Published: September 2023

Objective: The aim of this case series is to report feasibility, efficiency, and safety of fenestrated physician-modified endografts (PMEGs) in aortic arch pathologies with aberrant right subclavian artery (ARSA) and/or Kommerell’s diverticulum (KD). Methods: All consecutive patients with ARSA and/or KD who underwent hybrid aortic arch repair combined with homemade fenestrated stent-graft from 2018 to 2022 were reviewed. Results: Six patients with ARSA and/or KD underwent hybrid surgery for aortic repair, 4 of whom were men, with a mean age of 49 years. Furthermore, 2 of them were symptomatic with dysphagia, 1 was taken in emergency, 1 had a bovine arch and a KD, and 2 had right descending thoracic aortas. The mean operation time was 138 (111–216) minutes. In addition, 83% of the homemade grafts were double fenestrated. All the proximal landings were in zone 0; the mean proximal aortic diameter was 29 (23–34) mm. The range of diameters for the endografts were 24 to 38 mm. There was a 100% technical success, with 0% 30 days mortality, no stroke, and no endoleak. During the follow-up, no aortic-related death or secondary intervention was required and all supra-aortic vessels remain patent. Conclusion: Hybrid aortic arch repair, with fenestrated PMEGs for ARSA and/or KD, is associated with acceptable early and midterm major morbidity and mortality. Clinical Impact This retrospective case series analyzed outcomes in 6 patients with an aberrant right subclavian artery and/or Kommerell’s diverticulum treated with fenestrated PMEGs during an average 16 month follow-up. The case series suggests that the use of these fenestrated PMEGs for the management of patients with an aberrant right subclavian artery is a safe, effective and durable method in the medium-term.
A novel method to produce sustainable wind resistant and water repellant fabric for outdoor sport clothing
Authors: Arumugam Veerakumar , Tok Alfred Iing Yoong , Lipik Vitali 
Published: September 2023

Clothing production have adverse impact on the environment due to inefficient energy utilization during production processing, huge consumption of water and usage of harmful chemicals. Therefore, this work aims to develop a sustainable wind resistant and water repellant fabric through novel technology that reduces production processing steps for efficient energy consumption without compromising required functional performances without durable water repellency coatings (DWR) and application of fluorinated chemicals. This development aims to overcome the drawbacks associated with multiple production processing steps, hazardous chemicals, delamination, degradation, and reduction in vapor permeability due to adhesive layer, etc. In this work, the one-layer fabric was developed using polyester filament yarn on one surface and polyamide low melt yarn on another surface using plaited knitting technique. Further, the fabric was thermally processed at different conditions to create uniform barrier film through melting and flowing of polyamide yarns on fabric surface. The optimized and efficient thermal processing parameters were determined using Box-Behnken design as 120°C, 30 s and 0.5 MPa which yielded a fabric membrane with air permeability of 33.5 cm3/s/cm2, highest resistance to surface wetting with grade 5, exhibited hydrophobicity with water contact angle (WCA) of 120° and water vapor transmission rate of 875.7 (g/(m2·24 h)). Developed fabric also shows high abrasion resistant which would have increased clothing lifespan and comparable stiffness to commercially available wind stopper and water repellant fabrics.
Retrograde Cerebral Perfusion May Decrease Stroke Risk During Elective Aortic Arch Surgery
Authors: Keeling William B. , Tian David , Farrington Woodrow , Goksedef Deniz , Appoo Jehangir J. , Hoffman Andras , Hughes G. Chad , LeMaire Scott , Leshnower Bradley G. 
Published: September 2023

Objective: Controversy remains regarding the optimal neuroprotection strategy for elective hemiarch replacement (HEMI). This study sought to compare outcomes in patients who underwent HEMI utilizing the 2 most common contemporary methods of cerebral protection. Methods: The ARCH international aortic database was queried, and 782 patients undergoing elective HEMI with circulatory arrest from 2007 to 2012 were identified. There were 418 patients who underwent HEMI using moderate hypothermia (nasopharyngeal temperature 20.1 to 28.0 °C) and antegrade cerebral perfusion (MHCA/ACP). There were 364 patients who underwent HEMI using deep hypothermia (nasopharyngeal temperature 14.1 to 20 °C) and retrograde cerebral perfusion (DHCA/RCP). Adverse outcomes were compared between the groups using both univariable and multivariable analyses. Results: Patients who underwent MHCA/ACP were older (64 vs 61 years, P = 0.01) and more frequently had peripheral vascular disease than DHCA/RCP patients (28.5% vs 7.1%, P < 0.001). Patients in the DHCA/RCP group had a greater incidence of full aortic root replacement (55.8% vs 26.4%, P < 0.001) and more frequently had a central cannulation strategy (83% vs 55.7%, P < 0.001). Cardiopulmonary bypass (170 vs 157 min, P = 0.002) and aortic cross-clamp (134 vs 92 min, P < 0.001) times were significantly longer in the DHCA/RCP group. On univariable analysis, overall mortality was statistically similar between groups (MHCA/ACP 3.4% vs DHCA/RCP 2.3%, P = 0.47), but permanent neurologic deficits were significantly lower in the DHCA/RCP cohort (MHCA/ACP 3.9% vs DHCA/RCP 1.0%, P = 0.02). Multivariable analysis showed no difference in mortality nor perioperative stroke between perfusion cohorts. Conclusions: Both MHCA/ACP and DHCA/RCP are excellent neuroprotective strategies that produce low mortality in patients undergoing elective HEMI. DHCA/RCP may demonstrate theoretically improved neurologic outcomes compared with MHCA/ACP, but this topic warrants further study.