bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning-driven optimization of enterprise resource planning (ERP) systems: a comprehensive review
Authors: Jawad Zainab Nadhim , Balázs Villányi 
Published: January 2024

AbstractIn the dynamic and changing realm of technology and business operations, staying abreast of recent trends is paramount. This review evaluates the progress in the development of the integration of machine learning (ML) with enterprise resource planning (ERP) systems, revealing the impact of these trends on the ERP optimization. In recent years, there has been a significant advancement in the integration of ML technology within ERP environments. ML algorithms characterized by their ability to extract intricate patterns from vast datasets are being harnessed to enable ERP systems to make more accurate predictions and data-driven decisions. Therefore, ML enables ERP systems to adapt dynamically based on real-time insights, resulting in enhanced efficiency and adaptability. Furthermore, organizations are increasingly looking for artificial intelligence (AI) solutions as they actually try to make ML models within ERP clear and comprehensible for stakeholders. These solutions enable ERP systems to process and act on data as it flows in, due to the utilization of ML models, which enables enterprises to react effectively to changing circumstances. The rapid insights and useful intelligence offered by this trend have had a significant impact across industries. IoT (Internet of Things) and ML integration with ERP are continuously gaining significance. These algorithms allow for the creation of adaptable strategies supported by ongoing learning and data-driven optimization, which has a number of benefits for ERP system optimization. In addition, the Industrial Internet of Things (IIoT) was investigated in this review to provide the state-of-the-art and emerging challenges due to ML integration. This review provides a comprehensive analysis of the integration of machine learning algorithms across several ERP applications by conducting an extensive literature assessment of recent publications. By synthesizing the latest research findings, this comprehensive review provides an in-depth analysis of the cutting-edge techniques and recent advancements in the context of machine learning (ML)-driven optimization of enterprise resource planning (ERP) systems. It not only provides an insight into the methodology and impact of the state-of-the-art but also offers valuable insights into where the future of ML in ERP may lead, propelling ERP systems into a new era of intelligence, efficiency, and innovation.
Nanocrystals: an emerging paradigm for cancer therapeutics
Authors: Patel Ayush , Patel Krishi , Patel Viral , Rajput Mithun Singh , Patel Ravish , Rajput Amarjitsing 
Published: January 2024

Abstract
Background
Medical fraternity are continuously pitching toward the development of novel mechanisms to combat the menace of cancer and to enhance the efficacy of prevailing molecules. During the drug development phase, majority of new molecular entity pose a threat due to hydrophobic nature, that compromises its bioavailability upon administration. These suboptimal accumulation and low drug loading hampers the clinical translation in cancer therapy.

Main body of abstract
Nanotechnology with valuable advantages create possibilities to accelerate the efficacy of treatment. Compared to matrix-based formulations, drug nanocrystals (NCs) with smaller size, high drug loading, high active targeting, extended circulation, great structural stability, tailored dissolution, and being carrier free have sparked a lot of interest in drug delivery. Many hydrophobic drugs were explored as drug NCs such as—doxorubicin, paclitaxel, campothecin and so on. However, premature leakage and clearance by mononuclear phagocytosis system lead to some great obstacles in the clinical applications of drug NCs.

Conclusion
In the recent years, strategies leading to surface modification are applied to improve uncontrolled drug release and targeting efficiency to tumor cells. The current review sheds light on various properties of drug nanocrystals, brief insights on its fabricating techniques, approaches for tumor targeting with NCs, and their applications in cancer imaging and therapeutics.
Wavefield simulation and reverse time migration for acoustic TTI media
Authors: Zhang Yi , Stovas Alexey , De Siena Luca 
Published: January 2024

Seismic imaging necessitates precisely separating P and S waves to mitigate undesirable crosstalk between them. Failure to properly handle this crosstalk can lead to distorted or misinterpreted images. In an elastic anisotropic medium, the polarization of a P wave is not necessarily parallel to its propagating direction, making the separation of P and S waves more difficult than in the case of an elastic isotropic medium. A pure acoustic transversely isotropic (TI) wave equation involves a mixed-domain problem. This usually means the space dependencies and wavenumbers are coupled in the wavefield extrapolator. An efficient solution to the wavefield requires a separation between the space dependencies and wavenumbers in the extrapolator. There are two primary approaches: (1) an analytical separation of the mixed-domain term; and (2) a numerical solution to the mixed-domain term, such as low-rank and Poynting vector methods. In this study, the acoustic approximation is derived by setting the S-wave phase velocity to zero in all phase directions. An analytical separation is developed in this study by employing a Taylor series to linearize the anellipticity term, thereby decoupling the space-dependent and wavenumber-dependent variables within the wavefield extrapolator. The kinematics analysis demonstrates that our method has competitive phase velocity accuracy compared with existing methods. Moreover, the corresponding TI acoustic wave equation can be efficiently solved by the hybrid finite-difference/pseudospectral method. In a 2D case, it only requires one fast Fourier transform, two inverse Fourier transforms, and a few additional spatial differentiations at each time step. Remarkably, our wavefield solution remains independent of the wavefield heterogeneity (as observed in the low-rank approach) and is immune to wavefield interference (as encountered in the Poynting vector method). The developed acoustic approximation ensures the absence of any S-wave artifacts with relatively cheap computation. Numerical examples indicate our acoustic tilted transversely isotropic wave equation is reliable for accurate wavefield modeling and reverse time migration.
An exploratory study of psychosis risk factors in individuals who are referred but do not meet criteria for an early intervention in psychosis service
Authors: Naughton Sean , Brady Aoife , Geary Eoin , Counihan Eimear , Clarke Mary 
Published: January 2024

Background
The ‘at-risk mental state’ (ARMS) for psychosis has been critiqued for its limited prognostic ability and identification of a limited proportion of those who will develop a first episode of psychosis (FEP). Broadening the search for high-risk groups is key to improving population-level ascertainment of psychosis risk.

Aims
To explore risk enrichment in diagnostic, demographic and socio-functional domains among individuals referred to an early intervention in psychosis (EIP) service not meeting ARMS or FEP criteria.

Method
A retrospective file review of 16 years of referrals to a tertiary EIP service in Ireland was undertaken. Diagnostic outcomes from standardised assessments (Structured Clinical Interview for DSM), demographic (age, gender, family history, nationality) and socio-occupational (relationship status, living status, working status) variables were compiled for those not meeting criteria. These were compared with individuals diagnosed with an FEP in the same period.

Results
From 2005 to 2021 inclusive, of 2025 index assessments, 27.6% (n = 558) did not meet either FEP or ARMS criteria, which is notably higher than the 5.4% (n = 110) meeting ARMS criteria. This group had high psychiatric morbidity, with 65.4% meeting criteria for at least one DSM Axis I disorder. Depressive, anxiety and substance use disorders predominated. Their functional markers were poor, and comparable to the FEP cohort.

Conclusions
This group is enriched for psychosis risk factors. They are a larger group than those meeting ARMS criteria, a finding that may reflect EIP service configuration. They may be an important focus for further study in the search for at-risk populations beyond the current ARMS model.
The role of cognitive reserve and clinical symptoms in the association between genetic liability for educational attainment and functioning in first-episode psychosis: A mediation analysis
Authors: Clougher Derek , Segura Àlex G. , Forte Maria F. , Mezquida Gisela , Cuesta Manuel J. , Vieta Eduard , Amoretti Silvia , Lobo Antonio , González-Pinto Ana , Díaz-Caneja Covadonga M. , Roldán Alexandra , Fico Giovanna , de la Serna Elena , Bergé Daniel , Gassó Patricia , Rodriguez Natalia , Verdolini Norma , Tortorella Alfonso , Menculini Giulia , Ribasés Marta , Bernardo Miguel , Mas Sergi ,   PEPs Group
Published: January 2024

Abstract

Background
Polygenic risk scores for educational attainment (PRSEA), cognitive reserve (CR), and clinical symptoms are associated with functioning in first-episode psychosis (FEP). Nevertheless, the mechanisms underlying their complex interaction are yet to be explored. This study assessed the mediating role of CR and clinical symptoms, both negative (NS) and positive (PS), on the interrelationship between PRSEA and functionality, one year after a FEP.

Methods
A total of 162 FEP patients underwent clinical, functional, and genetic assessments. Using genome-wide association study summary results, PRSEA were constructed for each individual. Two mediation models were performed. The parallel mediation model explored the relationship of PRSEA with functionality through CR and clinical symptoms. The serial mediation model tested a causal chain of the three mediators: CR, NS, and PS. Mediation analysis was performed using the PROCESS function V.4.1 in SPSS V.22.

Results
A serial mediation model revealed a causal chain for PRSEA > CR > NS > Functionality (β = −0.35, 95%CI [−0.85, −0.04], p < 0.05). The model fit the data satisfactorily (CFI = 1.00; RMSEA = 0.00; SRMR = 7.2 × 10−7). Conversely, no parallel mediation was found between the three mediators, PRSEA and functionality and the model poorly fit the data (CFI = 0.30; RMSEA = 0.25; SRMR = 0.11).

Conclusions
Both CR and NS mediate the relationship between PRSEA and functionality at one-year follow-up, using serial mediation analysis. This may be relevant for prevention and personalized early intervention to reduce illness impact and improve functional outcomes in FEP patients.
Radiographic Progression-Free Survival and Clinical Progression-Free Survival as Potential Surrogates for Overall Survival in Men With Metastatic Hormone-Sensitive Prostate Cancer
Authors: Halabi Susan , Roy Akash , Rydzewska Larysa , Guo Siyuan , Godolphin Peter , Hussain Maha , Tangen Catherine , Thompson Ian , Xie Wanling , Carducci Michael A. , Smith Matthew R. , Morris Michael J. , Gravis Gwenaelle , Dearnaley David P. , Verhagen Paul , Goto Takayuki , James Nick , Buyse Marc E. , Tierney Jayne F. , Sweeney Christopher ,   on behalf of the STOPCAP/ICECaP Collaboration
Published: January 2024

PURPOSE Despite major increases in the longevity of men with metastatic hormone-sensitive prostate cancer (mHSPC), most men still die of prostate cancer. Phase III trials assessing new therapies in mHSPC with overall survival (OS) as the primary end point will take approximately a decade to complete. We investigated whether radiographic progression-free survival (rPFS) and clinical PFS (cPFS) are valid surrogates for OS in men with mHSPC and could potentially be used to expedite future phase III clinical trials. METHODS We obtained individual patient data (IPD) from 9 eligible randomized trials comparing treatment regimens (different androgen deprivation therapy [ADT] strategies or ADT plus docetaxel in the control or research arms) in mHSPC. rPFS was defined as the time from random assignment to radiographic progression or death from any cause whichever occurred first; cPFS was defined as the time from random assignment to the date of radiographic progression, symptoms, initiation of new treatment, or death, whichever occurred first. We implemented a two-stage meta-analytic validation model where conditions of patient-level and trial-level surrogacy had to be met. We then computed the surrogate threshold effect (STE). RESULTS IPD from 6,390 patients randomly assigned from 1994 to 2012 from 13 units were pooled for a stratified analysis. The median OS, rPFS, and cPFS were 4.3 (95% CI, 4.2 to 4.5), 2.4 (95% CI, 2.3 to 2.5), and 2.3 years (95% CI, 2.2 to 2.4), respectively. The STEs were 0.80 and 0.81 for rPFS and cPFS end points, respectively. CONCLUSION Both rPFS and cPFS appear to be promising surrogate end points for OS. The STE of 0.80 or higher makes it viable for either rPFS or cPFS to be used as the primary end point that is surrogate for OS in phase III mHSPC trials with testosterone suppression alone as the backbone therapy and would expedite trial conduct.
Access to Financial Assistance Programs and Their Impact on Overall Spending on Oral Anticancer Medications at an Integrated Specialty Pharmacy
Authors: Ragavan Meera V. , Swartz Scott , Clark Mackenzie , Lo Mimi , Gupta Arjun , Chino Fumiko , Lin Tracy Kuo 
Published: January 2024

PURPOSE Financial assistance (FA) programs are increasingly used to help patients afford oral anticancer medications (OAMs), but access to such programs and their impact on out-of-pocket (OOP) spending has not been well explored. This study aimed to (1) characterize the impact of receipt of FA on both OOP spending and likelihood of catastrophic spending on OAMs and (2) evaluate racial/ethnic disparities in access to FA programs. METHODS Patients with a cancer diagnosis prescribed an OAM anytime between January 1, 2021, and December 31, 2021 were included in this retrospective, single-center study at an integrated specialty pharmacy affiliated with a tertiary academic cancer center. Fixed-effect regression models were used to characterize the impact of receipt of FA on overall spending and likelihood of catastrophic spending on OAMs, as well as explore the association of race/ethnicity with receipt of FA. RESULTS Across 1,186 patients prescribed an OAM, 37% received FA. Receipt of FA was associated with lower annual spending on OAMs (β = –$1,236 US dollars [USD; 95% CI, –$1,841 to –$658], P < .001) but not reduced risk of catastrophic spending (odds ratio [OR], 0.442 [95% CI, 0.755 to 3.199], P = .23). Non-White patients (OR, 0.60 [95% CI, 0.43 to 0.85], P = .004) and patients who spoke English as a second language (OR, 0.46 [95% CI, 0.23 to 0.90], P = .02) were less likely to receive FA compared with White and English-speaking patients, respectively. CONCLUSION FA programs can mitigate high OOP spending but not for patients who spend at catastrophic levels. There are racial/ethnic and language disparities in access to such programs. Future studies should evaluate access to FA programs across diverse delivery settings.
Handling Incomplete or Late-Onset Toxicities in Early-Phase Dose-Finding Clinical Trials: Current Practice and Future Prospects
Authors: Yin Zhulin , Mander Adrian P. , de Bono Johann S. , Zheng Haiyan , Yap Christina 
Published: January 2024

PURPOSE The way late-onset toxicities are managed can affect trial outcomes and participant safety. Specifically, participants often might not have completed their entire follow-up period to observe any toxicities before new participants would be recruited. We conducted a methodological review of published early-phase dose-finding clinical trials that used designs accounting for partial and complete toxicity information, aiming to understand (1) how such designs were implemented and reported and (2) if sufficient information was provided to enable the replicability of trial results. METHODS Until March 26, 2023, we identified 141 trials using the rolling 6 design, the time-to-event continuous reassessment method (TITE-CRM), the TITE-CRM with cycle information, the TITE Bayesian optimal interval design, the TITE cumulative cohort design, and the rapid enrollment design. Clinical settings, design parameters, practical considerations, and dose-limiting toxicity (DLT) information were extracted from these published trials. RESULTS The TITE-CRM (61, 43.3%) and the rolling 6 design (76, 53.9%) were most frequently implemented in practice. Trials using the TITE-CRM had longer DLT assessment windows beyond the first cycle compared with the rolling 6 design (52.5% v 6.6%). Most trials implementing the TITE-CRM (91.8%, 56 of 61) failed to describe essential parameters in the protocols or the study result papers. Only five TITE-CRM trials (8.2%, 5 of 61) reported sufficient information to enable replication of the final analysis. CONCLUSION When compared with trials using the rolling 6 design, those implementing the TITE-CRM design exhibited notable deficiencies in reporting essential details necessary for reproducibility. Inadequate reporting quality of advanced model-based trial designs hinders their credibility. We provide recommendations that can improve transparency, reproducibility, and accurate interpretation of the results for such designs.
Force model in the penetration by impact into confined granular media
Authors: Seguin A. 
Published: January 2024

Abstract
We study analytically the influence of lateral confinement on the penetration depth of a sphere into a granular medium by impact. The granular medium is contained in a cylindrical tank of diameter D and a sphere of diameter d plunges along its axis. The presence of side walls, parametrized by the distance

between the walls and the sphere, influences the penetration depth. Here, we deploy a continuous analytical model to account for the presence of side walls. After solving and calibrating this model for an infinite medium

, we show that it is possible to extend this model without any additional parameters to account for lateral confinement. The influence of side walls is modelled by an exponential effect, which modifies the sphere's penetration dynamics. The solution of the model is shown to be in agreement with experimental results.
Salivary Cortisol and Cortisone Can Circumvent Confounding Effects of Oral Contraceptives in the Short Synacthen Test
Authors: Bäcklund Nils , Lundstedt Staffan , Tornevi Andreas , Wihlbäck Anna-Carin , Olsson Tommy , Dahlqvist Per , Brattsand Göran 
Published: January 2024

Abstract

Context
Adrenal insufficiency (AI) is usually diagnosed by low plasma cortisol levels following a short Synacthen test (SST). Most plasma cortisol is bound to corticosteroid-binding globulin, which is increased by estrogen in combined estrogen-progestin oral contraceptives (COCs). Women with AI using COCs are therefore at risk of having an apparently normal plasma cortisol level during SST, which would not adequately reflect AI.

Objective
This work aimed to test whether salivary cortisol or cortisone during SST is more robust against the COC effect and to calculate the lower reference limits (LRLs) for these to be used as tentative diagnostic cutoffs to exclude AI.

Methods
Forty-one healthy women on COCs and 46 healthy women without exogenous estrogens underwent an SST with collection of plasma and salivary samples at 0, 30, and 60 minutes after Synacthen injection. The groups were compared using regression analysis with age as covariate and the LRLs were calculated parametrically.

Results
SST-stimulated plasma cortisol levels were significantly higher in the COC group vs controls, while mean salivary cortisol and cortisone levels were slightly lower in the COC group. Importantly, COC use did not significantly alter LRLs for salivary cortisol or cortisone. The smallest LRL difference between groups was seen for salivary cortisone.

Conclusion
Salivary cortisol and especially salivary cortisone are considerably less affected by COC use than plasma cortisol during SST. Due to similar LRLs, a common cutoff for salivary cortisol and cortisone during SST can be used to exclude AI in premenopausal women irrespective of COC use.
Preconception Stress and Pregnancy Serum Glucose Levels Among Women Attending a Fertility Center
Authors: Mínguez-Alarcón Lidia , Chagnon Olivia , Tanaka Aya , Williams Paige L , James-Todd Tamarra , Ford Jennifer B , Souter Irene , Rexrode Kathryn M , Hauser Russ , Chavarro Jorge E 
Published: January 2024

Abstract

Context
The association between women's stress and pregnancy glucose levels remain unclear, specifically when considering the preconception period as a sensitive window of exposure.

Objective
We investigated whether preconception perceived stress was associated with glucose levels during pregnancy among women attending a fertility center (2004-2019).

Methods
Before conception, women completed a psychological stress survey using the short version of the validated Perceived Stress Scale 4 (PSS-4), and blood glucose was measured using a 50-gram glucose load test during late pregnancy as a part of screening for gestational diabetes. Linear and log-binomial regression models were used to assess associations of total PSS-4 scores with mean glucose levels and abnormal glucose levels ( ≥ 140 mg/dL), adjusting for age, body mass index, race, smoking, education, physical activity, primary infertility diagnosis, number of babies, and mode of conception.

Results
Psychological stress was positively associated with mean abnormal glucose levels. The adjusted marginal means (95% CI) of mean glucose levels for women in the first, second, and third tertiles of psychological stress were 115 (110, 119), 119 (115, 123), and 124 (119, 128), and mg/dL, respectively (P for trend = .007). Also, women in the second and third tertiles of psychological stress had 4% and 13% higher probabilities of having abnormal glucose compared with women in the first tertile of psychological stress (P trend = .01).

Conclusion
These results highlight the importance of considering preconception when evaluating the relationship between women's stress and pregnancy glucose levels.
Integrated single-cell multiomics uncovers foundational regulatory mechanisms of lens development and pathology
Authors: Tangeman Jared A. , Rebull Sofia M. , Grajales-Esquivel Erika , Weaver Jacob M. , Bendezu-Sayas Stacy , Robinson Michael L. , Lachke Salil A. , Del Rio-Tsonis Katia 
Published: January 2024

ABSTRACT
Ocular lens development entails epithelial to fiber cell differentiation, defects in which cause congenital cataracts. We report the first single-cell multiomic atlas of lens development, leveraging snRNA-seq, snATAC-seq and CUT&RUN-seq to discover previously unreported mechanisms of cell fate determination and cataract-linked regulatory networks. A comprehensive profile of cis- and trans-regulatory interactions, including for the cataract-linked transcription factor MAF, is established across a temporal trajectory of fiber cell differentiation. Furthermore, we identify an epigenetic paradigm of cellular differentiation, defined by progressive loss of the H3K27 methylation writer Polycomb repressive complex 2 (PRC2). PRC2 localizes to heterochromatin domains across master-regulator transcription factor gene bodies, suggesting it safeguards epithelial cell fate. Moreover, we demonstrate that FGF hyper-stimulation in vivo leads to MAF network activation and the emergence of novel lens cell states. Collectively, these data depict a comprehensive portrait of lens fiber cell differentiation, while defining regulatory effectors of cell identity and cataract formation.