bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient-Reported Functional Impairment Due to Hearing Loss and Tinnitus After Cisplatin-Based Chemotherapy
Authors: Sanchez Victoria A. , Shuey Megan M. , Dinh Paul C. , Monahan Patrick O. , Fosså Sophie D. , Sesso Howard D. , Dolan M. Eileen , Einhorn Lawrence H. , Vaughn David J. , Martin Neil E. , Feldman Darren R. , Kroenke Kurt , Fung Chunkit , Frisina Robert D. , Travis Lois B. 
Published: January 2023

PURPOSE Cisplatin is widely used and highly ototoxic, but patient-reported functional impairment because of cisplatin-related hearing loss (HL) and tinnitus has not been comprehensively evaluated. PATIENTS AND METHODS Testicular cancer survivors (TCS) given first-line cisplatin-based chemotherapy completed validated questionnaires, including the Hearing Handicap Inventory for Adults (HHIA) and Tinnitus Primary Function Questionnaire (TPFQ), each of which quantifies toxicity-specific functional impairment. Spearman correlations evaluated associations between HL and tinnitus severity and level of functional handicap quantified with the HHIA and TPFQ, respectively. Associations between HL or tinnitus and five prespecified adverse health outcomes (cognitive dysfunction, fatigue, depression, anxiety, and overall health) were evaluated. RESULTS HL and tinnitus affected 137 (56.4%) and 147 (60.5%) of 243 TCS, respectively. Hearing aids were used by 10% TCS (14/137). Of TCS with HL, 35.8% reported clinically significant functional impairment. Severe HHIA-assessed functional impairment was associated with cognitive dysfunction (odds ratio [OR], 10.62; P < .001), fatigue (OR, 5.48; P = .003), and worse overall health (OR, 0.19; P = .012). Significant relationships existed between HL severity and HHIA score, and tinnitus severity and TPFQ score ( P < .0001 each). TCS with either greater hearing difficulty or more severe tinnitus were more likely to report cognitive dysfunction (OR, 5.52; P = .002; and OR, 2.56; P = .05), fatigue (OR, 6.18; P < .001; and OR, 4.04; P < .001), depression (OR, 3.93; P < .01; and OR, 3.83; P < .01), and lower overall health (OR, 0.39; P = .03; and OR, 0.46; P = .02, respectively). CONCLUSION One in three TCS with HL report clinically significant functional impairment. Follow-up of cisplatin-treated survivors should include routine assessment for HL and tinnitus. Use of the HHIA and TPFQ permit risk stratification and referral to audiologists as needed, since HL adversely affects functional status and is the single largest modifiable risk factor for cognitive decline and dementia in the general population.
Machine Learning–Enabled NIR Spectroscopy. Part 2: Workflow for Selecting a Subset of Samples from Publicly Accessible Data
Authors: Ali Hussain , Muthudoss Prakash , Ramalingam Manikandan , Kanakaraj Lakshmi , Paudel Amrit , Ramasamy Gobi 
Published: January 2023

Abstract
An increasingly large dataset of pharmaceutics disciplines is frequently challenging to comprehend. Since machine learning needs high-quality data sets, the open-source dataset can be a place to start. This work presents a systematic method to choose representative subsamples from the existing research, along with an extensive set of quality measures and a visualization strategy. The preceding article (Muthudoss et al.. in AAPS PharmSciTech 23, 2022) describes a workflow for leveraging near infrared (NIR) spectroscopy to obtain reliable and robust data on pharmaceutical samples. This study describes the systematic and structured procedure for selecting subsamples from the historical data. We offer a wide range of in-depth quality measures, diagnostic tools, and visualization techniques. A real-world, well-researched NIR dataset was employed to demonstrate this approach. This open-source tablet dataset (http://www.models.life.ku.dk/Tablets) consists of different doses in milligrams, different shapes, and sizes of dosage forms, slots in tablets, three different manufacturing scales (lab, pilot, production), coating differences (coated vs uncoated), etc. This sample is appropriate; that is, the model was developed on one scale (in this research, the lab scale), and it can be great to investigate how well the top models are transferable when tested on new data like pilot-scale or production (full) scale. A literature review indicated that the PLS regression models outperform artificial neural network-multilayer perceptron (ANN-MLP). This work demonstrates the selection of appropriate hyperparameters and their impact on ANN-MLP model performance. The hyperparameter tuning approaches and performance with available references are discussed for the data under investigation. Model extension from lab-scale to pilot-scale/production scale is demonstrated.

Highlights
• We present a comprehensive quality metrics and visualization strategy in selecting subsamples from the existing studies
• A comprehensive assessment and workflow are demonstrated using historical real-world near-infrared (NIR) data sets
• Selection of appropriate hyperparameters and their impact on artificial neural network-multilayer perceptron (ANN-MLP) model performance
• The choice of hyperparameter tuning approaches and performance with available references are discussed for the data under investigation
• Model extension from lab-scale to pilot-scale successfully demonstrated

Graphical Abstract
Topological phases and tunable Majorana zero modes in Rashba superconducting systems in the presence of Zeeman field
Authors: Xie Yue , Zha Guo-Qiao 
Published: January 2023

Abstract
In the framework of the extended Bogoliubov-de Gennes theory, topological phase transitions and Majorana zero modes are investigated by diagonalizing the tight-binding model Hamiltonian for two-dimensional superconducting systems with Rashba spin-orbit coupling and spin correlations when the effect of Zeeman field is involved. With increasing the Zeeman-field strength, the first-order topological superconductivity and chiral Majorana edge modes may develop for the long Rashba superconducting stripe under appropriate chemical potential. Moreover, the second-order topological phase can be found for the Rashba loop-frame geometry. Relying on the chosen chemical potential near half filling, Majorana zero-energy states located at corners of the square loop are more feasible in the weak exchange-field regime. Particularly, the transitions between Majorana edge and corner modes can take place in the loop system when the field strength is varied. In addition, the number and location of robust Majorana corner modes are highly sensitive to the introduced surface defects. Our theoretical predictions may provide useful guidance for observing and tuning Majorana zero modes in future experiments and applications.
Identifying and Predicting Diverse Patterns of Benign Nodule Growth
Authors: Xiang PingPing , Ahmadi Sara , Coleman Alexandra , West William , Lobon Isabel , Bikas Athanasios , Landa Iñigo , Marqusee Ellen , Kim Matthew , Alexander Erik K , Pappa Theodora 
Published: January 2023

Abstract

Context
The natural history of benign thyroid nodules is typically characterized by slow growth and minimal risk of malignant transformation. Available data have, to date, been unable to elucidate the diversity of benign nodule growth patterns over time nor predictive of which patients follow which pattern.

Objective
We aimed to better define the diverse patterns of benign nodule behavior and their predictors.

Methods
We prospectively studied 389 consecutive patients with solitary, solid, cytologically benign thyroid nodules ≥1 cm and follow-up ultrasound for at least 4 years. Demographic, sonographic, biochemical data were collected at initial evaluation, and subsequent growth patterns were identified over the follow-up. Predictors of growth at initial evaluation and 3 years of follow-up were defined.

Results
The mean (±SD) follow-up was 7.7 (±2.7) years. Three distinct growth patterns were identified: A) stagnant nodules with average growth rate &lt; 0.2 mm/year; B) slow-growing nodules with a rate 0.2 to 1.0 mm/year; and C) fast-growing nodules increasing &gt; 1.0 mm/year. Fast-growing nodules represented 17.2% of the cohort, and were more frequent in patients younger than 50 years (OR 2.2 [1.2-4.1], P = 0.016), and in larger nodules (2.0-2.9 cm, OR 3.5 [1.7-7.1], P = 0.001; &gt;3.0 cm, OR 4.4 [1.8-10.4], P = 0.001 vs reference 1-1.9 cm). In a multiple regression model, nodule growth at 3 years at an average growth rate over 0.2 mm/year over 3 years since initial evaluation was an independent predictor of longer-term fast nodule growth, even after adjusting for age, biological sex, TSH level, and nodule size (P &lt; 0.001).

Conclusion
The natural history of benign nodule growth is diverse, with over 80% of nodules demonstrating minimal to no growth long-term. Nearly 20% of cytologically benign nodules may exhibit a fast, continued growth pattern, which can be predicted by the 3-year growth rate pattern. These findings can help inform decision making for tailored benign nodule follow-up and monitoring.
An Updated Approach to Antiobesity Pharmacotherapy: Moving Beyond the 5% Weight Loss Goal
Authors: Enright Connor , Thomas Elizabeth , Saxon David R 
Published: January 2023

Abstract
Despite professional society guidelines recommending that obesity be treated as a chronic disease by emphasizing the use of lifestyle modification in conjunction with pharmacotherapy, antiobesity medications are uncommonly prescribed in most clinical practices. The recent Food and Drug Administration approval of semaglutide 2.4 mg weekly to treat obesity—as well as other forthcoming advancements in diabetes and antiobesity medications—highlights the potential of pharmacotherapy to significantly augment weight loss efforts. In this Expert Endocrine Consult, we review the evolving role of antiobesity pharmacotherapy in clinical practice and suggest a framework for the use of these medications.
Genomic prediction in plants: opportunities for ensemble machine learning based approaches
Authors: Farooq Muhammad , van Dijk Aalt D.J. , Nijveen Harm , Mansoor Shahid , de Ridder Dick 
Published: January 2023

Background: Many studies have demonstrated the utility of machine learning (ML) methods for genomic prediction (GP) of various plant traits, but a clear rationale for choosing ML over conventionally used, often simpler parametric methods, is still lacking. Predictive performance of GP models might depend on a plethora of factors including sample size, number of markers, population structure and genetic architecture. Methods: Here, we investigate which problem and dataset characteristics are related to good performance of ML methods for genomic prediction. We compare the predictive performance of two frequently used ensemble ML methods (Random Forest and Extreme Gradient Boosting) with parametric methods including genomic best linear unbiased prediction (GBLUP), reproducing kernel Hilbert space regression (RKHS), BayesA and BayesB. To explore problem characteristics, we use simulated and real plant traits under different genetic complexity levels determined by the number of Quantitative Trait Loci (QTLs), heritability (h2 and h2e), population structure and linkage disequilibrium between causal nucleotides and other SNPs. Results: Decision tree based ensemble ML methods are a better choice for nonlinear phenotypes and are comparable to Bayesian methods for linear phenotypes in the case of large effect Quantitative Trait Nucleotides (QTNs). Furthermore, we find that ML methods are susceptible to confounding due to population structure but less sensitive to low linkage disequilibrium than linear parametric methods. Conclusions: Overall, this provides insights into the role of ML in GP as well as guidelines for practitioners.
Patients’ and prescribers’ experiences of managing neuropathic pain with medication: a scoping review
Authors: Mshelia Comfort , Kennedy Mary-Claire , McHugh Gretl A. 
Published: January 2023

Background: Neuropathic pain (NP) is a chronic condition that affects patients’ quality of life. Prescribing for NP within primary care is variable. There is a need to understand NP medicine management from both patient and prescribers’ perspectives. This scoping review aimed to identify, synthesise and identify gaps in the literature on the experiences of: i) prescribers in prescribing medicines to manage the symptoms of NP and ii) people with NP who use prescribed medicines to manage their symptoms. Methods: Four electronic bibliographic databases (Medline, CINAHL, Embase and PsycInfo) were searched from inception to the end of October 2022 using a structured search strategy. The findings were synthesised and presented using a modified framework for monitoring opioid prescribing called the 5 A’s framework. The 5 A’s are Analgesia, Activities of daily living, Adverse effects, Aberrant behaviour, and Activities and actions of healthcare professionals. Results: From the 10,995 records identified, 11 studies were included in the review. All the studies focused on patients' experiences, with no studies about the experiences of prescribers in managing NP. Patients reported that medicines seem to work at the outset but, over time, are less effective in relieving their pain. Patients took less than the prescribed dose of their medicine, depending on their pain level on the day. Taking medication allowed patients to participate in activities they would not otherwise have been able to do, often resulting in less isolation and loneliness. Conclusions: This scoping review has highlighted patients' experiences of using medicines to manage NP. Results provide insight into how patients cope with inadequate pain control and the impact this has on patients’ lives. More research is required to explore the experiences of people living with non-specific types of NP as well as the experiences of prescribers who prescribe medicines to manage NP.
Pregnancy and birth complications associations with long-term adverse maternal mental health outcomes: a systematic review and meta-analysis protocol
Authors: Bodunde Elizabeth O , Buckley Daire , O'Neill Eimear , Maher Gillian M. , Matvienko-Sikar Karen , O'Connor Karen , McCarthy Fergus P. , Khashan Ali S. 
Published: January 2023

Background: Existing studies have established an association between pregnancy, birth complications, and mental health in the first few weeks postpartum. However, there is no clear understanding of whether pregnancy and birth complications increase the risk of adverse maternal mental outcomes in the longer term. Research on maternal adverse mental health outcomes following pregnancy and birth complications beyond 12 months postpartum is scarce, and findings are inconsistent. Objective: This systematic review and meta-analysis will examine the available evidence on the association between pregnancy and birth complications and long-term adverse maternal mental health outcomes. Methods and analysis: We will include cohort, cross-sectional, and case-control studies in which a diagnosis of pregnancy and/or birth complication (preeclampsia, pregnancy loss, caesarean section, preterm birth, perineal laceration, neonatal intensive care unit admission, major obstetric haemorrhage, and birth injury/trauma) was reported and maternal mental disorders (depression, anxiety disorders, bipolar disorders, psychosis, and schizophrenia) after 12 months postpartum were the outcomes. A systematic search of PubMed, Embase, CINAHL, PsycINFO, and Web of Science will be conducted following a detailed search strategy until August 2022. Three authors will independently review titles and abstracts of all eligible studies, extract data using pre-defined standardised data extraction and assess the quality of each study using the Newcastle-Ottawa Scale. We will use random-effects meta-analysis for each exposure and outcome variable to calculate overall pooled estimates using the generic inverse variance method. This systematic review will follow the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Ethical consideration: The proposed systematic review and meta-analysis is based on published data; ethics approval is not required. The results will be presented at scientific meetings and publish in a peer-reviewed journal. PROSPERO registration: CRD42022359017
A protocol for a systematic review and meta-analysis of tuberculosis care around the time of pregnancy
Authors: Carlsson Camilla , Lönnermark Elisabet , Datta Sumona , Evans Carlton A. 
Published: January 2023

Background: Tuberculosis is estimated to cause 1.5 million deaths annually and is most common during the reproductive years. Despite that fact, we found that tuberculosis screening, prevention or care recommendations for people around the time of pregnancy were absent from some national policy recommendations and varied in others. Objectives: To address the apparent gaps and inconsistencies in policy, we aim to design a systematic review and potential meta-analysis of the original research evidence informing tuberculosis care around the time of pregnancy. Methods: With assistance from librarians at the Biomedical library of the University of Gothenburg, Pubmed, CINAHL and Scopus databases will be searched. Search terms will aim to identify studies generating original research evidence informing care for tuberculosis around the time of pregnancy. Two independent reviewers will screen and select for inclusion the eligible studies. Discrepancies will be resolved with a third reviewer. We anticipate triaging the eligible publications. Firstly, publications that provide contextual data will be tabulated, summarising their main contributions. Secondly, studies that provide evidence directly guiding patient care and have recently been systematically reviewed and meta-analysed will be tabulated with the recently published conclusions of the syntheses of their data. Thirdly, studies that provide evidence directly guiding patient care, but have not been the subject of recent systematic review and meta-analysis will be our focus and will be considered to be key. The key studies will be subject to quality assessment, data extraction and when possible, meta-analysis. Conclusions: This systematic review and potential meta-analysis aims to guide policy, practice and future research priorities concerning tuberculosis care around the time of pregnancy.
Convergence Analysis of Stochastic Kriging-Assisted Simulation with Random Covariates
Authors: Li Cheng , Gao Siyang , Du Jianzhong 
Published: January 2023

We consider performing simulation experiments in the presence of covariates. Here, covariates refer to some input information other than system designs to the simulation model that can also affect the system performance. To make decisions, decision makers need to know the covariate values of the problem. Traditionally in simulation-based decision making, simulation samples are collected after the covariate values are known; in contrast, as a new framework, simulation with covariates starts the simulation before the covariate values are revealed and collects samples on covariate values that might appear later. Then, when the covariate values are revealed, the collected simulation samples are directly used to predict the desired results. This framework significantly reduces the decision time compared with the traditional way of simulation. In this paper, we follow this framework and suppose there are a finite number of system designs. We adopt the metamodel of stochastic kriging (SK) and use it to predict the system performance of each design and the best design. The goal is to study how fast the prediction errors diminish with the number of covariate points sampled. This is a fundamental problem in simulation with covariates and helps quantify the relationship between the offline simulation efforts and the online prediction accuracy. Particularly, we adopt measures of the maximal integrated mean squared error (IMSE) and integrated probability of false selection (IPFS) for assessing errors of the system performance and the best design predictions. Then, we establish convergence rates for the two measures under mild conditions. Last, these convergence behaviors are illustrated numerically using test examples. History: Accepted by Bruno Tuffin, area editor for simulation. Funding: This work was supported in part by Singapore Ministry of Education Academic Research Funds [Tier 1 Grants R-155-000-201-114 and A-0004822-00-00], the City University of Hong Kong [Grants 7005269 and 7005568], and the National Natural Science Foundation of China [Grant 72091211]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.1263 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2021.0329 ) at ( http://dx.doi.org/10.5281/zenodo.7344997 ).
Leakage of stomal effluent outside the baseplate leads to rise in product usage and health professional interactions
Authors: de Fries Jensen Lasse , Rolls Natasha , Russell-Roberts Paul , Vestergaard Martin , Jensen Majken Linnemann , Boisen Esben Bo 
Published: January 2023

Background: Leakage of stomal effluent outside the baseplate that soils clothes or bedsheets is a common problem for many people with a stoma and significantly impacts their quality of life. Aim: To understand behavioural changes for people experiencing faecal leakage outside the baseplate regarding the usage of pouching systems, supporting products and interactions with health professionals. Methods: Retrospective, self-reported questionnaire. Findings: Respondents on average experienced 1.1 incidents of faecal leakage outside the baseplate per fortnight. In periods with issues of leakage, 21% of respondents had been in contact with health professionals, 40% increased their use of pouching systems, 25% increased their use of existing supporting products, and 21% included additional supporting products to their change routine. The increased use of healthcare resources was estimated to cost £32.47 in the 3 weeks following a leakage incident. Conclusion: Incidents of leakage outside the baseplate lead to increased use of healthcare resources.
Radio Frequency(rf) Magnetometer Based on Nonlinear Magnetoelectric Effect in Atomic Vapor
Authors: Mishra Soumya R. , Sahoo Sushree S. , Rajalakshmi G. , Mohapatra Ashok K. 
Published: January 2023

We observe the nonlinear magnetoelectric(ME) effect in atomic vapor. To validate the ME effect we obtain various experimental results and match up to the theory. We could also achieve an rf field sensitivity of

70

fT/

Hz

in an unshielded environment.
Modeling D15 test sequences in red–green anomalous trichromacy
Authors: Trukša Renārs , Fomins Sergejs , Jansone-Langina Zane , Dzenis Jānis 
Published: January 2023

Color arrangement tests such as the D15 test can be used to detect congenital and acquired color vision defects. However, the D15 test cannot be used as the only test to assess color vision because of its relatively low sensitivity in less severe cases of color vision deficiency. In this study, we attempted to determine D15 cap arrangements for red/green anomalous trichromats with varying degrees of severity of color vision deficiency. The color coordinates of D15 test caps corresponding to a particular type and severity of color vision deficiency were determined using the model proposed by Yaguchi et al. [J. Opt. Soc. Am. A 35, B278 (2018)JOAOD60740-323210.1364/JOSAA.35.00B278]. The arrangement of the color caps was modeled by assuming that individuals with color vision deficiency would arrange the D15 test caps judging by color differences perceived by them. The proposed simulation correctly predicts the increase in severity of color vision deficiency with spectral reduction between the L- and M-cone photopigments. The type of color vision deficiency is correctly predicted with few exceptions in protanomalous trichromats.