bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nutritional therapy in chronic wound management for older adults
Authors: Cereda Emanuele , Veronese Nicola , Caccialanza Riccardo 
Published: November 2023

Purpose of review
We provided an updated overview of recent data on the value of nutritional therapy in the management of chronic wounds in older adults.

Recent findings
In the last years, advances in this area were limited, but new data suggest considering nutritional care (screening and assessment of malnutrition and nutritional interventions) also in patients with chronic wounds other than pressure ulcers, namely venous leg and diabetic foot ulcers, as in these patients, nutritional derangements can be present despite overweight/obesity and their management is beneficial.

Summary
Chronic wounds are wounds in which the process of repair does not progress normally due to a disruption in one or more of the healing phases. Nutritional therapy is aimed at recovering the process of repair. General principles of nutritional care in geriatrics apply to these patients but disease-specific recommendations are available, particularly for pressure ulcers. Interventions should address nutritional status, comorbidities, hydration and should provide key nutrients playing an active role in the healing process (arginine, zinc, and antioxidants) but always within the context of an individual care plan addressing patients requirements, particularly protein needs. Further evidence of efficacy in vascular and diabetic foot ulcers is warranted.
Dietary protein intake and plant-dominant diets to mitigate risk of allograft dysfunction progression in kidney transplant recipients
Authors: Tantisattamo Ekamol , Kalantar-Zadeh Kamyar 
Published: November 2023

Purpose of reviewThere are limited studies on the benefits of low dietary protein intake (DPI) and plant-dominant diets to delay kidney allograft dysfunction. We evaluate evidence regarding the association or effects of the amount and type of DPI on allograft function.Recent findingsThere is conflicting evidence regarding the benefits of low DPI and plant-dominant diet including PLADO and PLAFOND on kidney allograft function. Taking the strength of evidence including study design, sample size, and time to follow-up, the proposed amount of DPI to slow the progression of allograft dysfunction, avoid negative nitrogen balance, and skeletal muscle mass loss is 1.0–1.3 g/kg/day during an immediate posttransplant period or when high protein catabolic rate exists. The DPI may be 0.8–1.0 g/kg/day in patients with stable allograft function. Patients with chronic allograft rejection or estimated glomerular filtration rate <25 ml/min may benefit from the DPI of 0.55–0.60 g/kg/day, while those with failed allograft requiring transition to dialysis including incremental (twice-weekly) hemodialysis should consider increasing DPI to 1.0–1.2 g/kg/day.SummaryWhile there is a lack of strong evidence, individualized approaches based on the patient's comorbidities, net state of immunosuppression, and periods posttransplant may guide the appropriate amount and type of DPI to slow allograft dysfunction.
Meal Effects on Gastric Bioelectrical Activity Utilizing Body Surface Gastric Mapping in Healthy Subjects
Authors: Huang I-Hsuan , Calder Stefan , Gharibans Armen A. , Schamberg Gabriel , Varghese Chris , Andrews Christopher N. , Tack Jan , O’Grady Greg 
Published: November 2023

SummaryBackgroundGastric sensorimotor disorders are prevalent. While gastric emptying measurements are commonly used, they may not fully capture the underlying pathophysiology. Body surface gastric mapping (BSGM) recently emerged to assess gastric sensorimotor dysfunction. This study assessed varying meal size on BSGM responses to inform test use in a wider variety of contexts.MethodsData from multiple healthy cohorts receiving BSGM were pooled, using four different test meals. A standard BSGM protocol was employed: 30-min fasting, 4-hr post-prandial, using Gastric Alimetry® (Alimetry, New Zealand). Meals comprised: i) nutrient drink + oatmeal bar (482 kcal; ’standard meal’); ii) oatmeal bar alone; egg and toast meal, and pancake (all ∼250 kcal). Gastric Alimetry metrics included BMI-adjusted Amplitude, Principal Gastric Frequency, Gastric Alimetry Rhythm Index (GA-RI) and Fed:Fasted Amplitude Ratio (ff-AR).Key Results238 participants (59.2% female) were included. All meals significantly increased amplitude and frequency during the first post-prandial hour (p<0.05). There were no differences in postprandial frequency across meals (p>0.05). The amplitude and GA-RI of the standard meal (n=110) were significantly higher than the energy bar alone (n=45) and egg meal (n=65) (all p<0.05). All BSGM metrics were comparable across the 3 smaller meals (p>0.05). A higher symptom burden was found in the oatmeal bar group vs the standard meal and pancake meal (p=0.01, 0.003, respectively).Conclusions & InferencesThe consumption of lower calorie meals elicited different post-prandial responses, when compared to the standard Gastric Alimetry meal. These data will guide interpretations of BSGM when applied with lower calorie meals.
IDO-1 inhibition improves outcome after fluid percussion injury in adult male rats
Authors: Sadek Marawan , Stover Kurt R , Liu Xiaojing , Reed Mark A , Weaver Donald F , Reid Aylin Y 
Published: November 2023

AbstractThe enzyme indoleamine 2,3 dioxygenase 1 (IDO1) catalyzes the rate-limiting step in the kynurenine pathway (KP) which produces both neuroprotective and neurotoxic metabolites. Neuroinflammatory signals produced as a result of pathological conditions can increase production of IDO1 and boost its enzymatic capacity. IDO1 and the KP have been implicated in behavioral recovery after human traumatic brain injury (TBI), but their roles in experimental models of TBI are for the most part unknown. We hypothesized there is an increase in KP activity in the fluid percussion injury (FPI) model of TBI, and that administration of an IDO1 inhibitor will improve neurological recovery. In this study adult male Sprague-Dawley rats were subjected to FPI or sham injury and received twice-daily oral administration of the IDO1 inhibitor PF-06840003 (100 mg/kg) or vehicle control. FPI resulted in a significant increase in KP activity, as demonstrated by an increased ratio of kynurenine:tryptophan, in the perilesional neocortex and ipsilateral hippocampus three days post-injury (DPI), which normalized by seven DPI. The increase in KP activity was prevented by PF-06840003. IDO1 inhibition also improved memory performance as assessed in the Barnes maze and anxiety behaviors as assessed in open field testing in the first 28 DPI. These results suggest increased KP activity after FPI may mediate neurological dysfunction, and IDO1 inhibition should be further investigated as a potential therapeutic target to improve recovery.Significance StatementThe kynurenine pathway and its rate-limiting enzyme indoleamine 2,3 dioxygenase 1 (IDO1) have been implicated in a variety of neurological disorders, including traumatic brain injury. We have demonstrated increased IDO1 activity in male rats after fluid percussion injury, a widely used model of traumatic brain injury. Pharmacological IDO1 inhibition after fluid percussion injury improved performance on tests of memory and anxiety-like behaviors, demonstrating a role for IDO1 in traumatic brain injury outcomes and supporting further investigation into its potential as a therapeutic target.
Psychosocial vulnerabilities in newly arrived asylum seekers to the Greek island of Lesvos: a retrospective cross-sectional analysis
Authors: Kavarnos Gregory , Bressaglia Miriam , Hargreaves Sally , Norredam Marie , Veizis Apostolos 
Published: November 2023

AbstractBackgroundKara Tepe Registration and Identification Camp on Lesvos Island in Greece is a controlled access facility with people in various stages of the asylum procedure housed in tents, rub halls and containers in poor living conditions for prolonged periods of time. However, data are lacking on psychosocial vulnerabilities and experiences of these populations, particularly the growing number of single women residing in these settings.We aimed to explore psychosocial needs among this incamped population.MethodsWe did a retrospective cross-sectional chart review of sociodemographic and psychosocial vulnerabilities of all migrants (>18 years of age) who were detained in Kara Tepe between 1st February 2021 and 31st January 2023. Data were extracted from the Knack Online Database used by INTERSOS HELLAS.Results701 individuals were referred to the clinic for psychosocial work-up over a 2 year follow-up period, of which 165 subsequently received psychological support after initial health assessments. The majority (92.0%) of the cohort were women who were single, most from Afghanistan, Somalia, Congo, and Syria, with a range of medical and social vulnerabilities. 19.8% of the population had been subjected to gender-based violence including in their country of origin, during the migration route to Lesvos, or while on the island of Lesvos. The most common GBV incident reported was rape (48.9%) followed by physical assault (23.7%) and non-penetrative sexual assault (21.5%). 7% of the population presented with suicidal, or self-harming, behaviour, of which 26.2% had attempted suicide.ConclusionThis study highlights for the first time the stark range of vulnerabilities experienced by predominantly single women in camp settings in Greece.
An Explainable Machine Learning Framework for Predicting the Risk of Buprenorphine Treatment Discontinuation for Opioid Use Disorder
Authors: Faysal Jabed Al , Noor-E-Alam Md. , Young Gary J. , Lo-Ciganic Wei-Hsuan , Goodin Amie J. , Huang James L. , Wilson Debbie L. , Park Tae Woo , Hasan Md Mahmudul 
Published: November 2023

AbstractObjectivesBuprenorphine is an effective evidence-based medication for opioid use disorder (OUD). Yet premature discontinuation undermines treatment effectiveness, increasing risk of mortality and overdose. We developed and evaluated a machine learning (ML) framework for predicting buprenorphine care discontinuity within 1-year following treatment initiation.MethodsThis retrospective study used United States 2018-2021 MarketScan commercial claims data of insured individuals aged 18-64 who initiated buprenorphine between July 2018 and December 2020 with no buprenorphine prescriptions in the previous six months. We measured buprenorphine prescription discontinuation gaps of ≥30 days within the first year of initiating treatment. We developed predictive models employing logistic regression, decision tree classifier, random forest, XGBoost, Adaboost, and random forest-XGBoost ensemble. We applied recursive feature elimination with cross-validation to reduce dimensionality and identify the most predictive features while maintaining model robustness. We focused on two distinct treatment stages: at the time of treatment initiation and one and three months after treatment initiation. We employed SHapley Additive exPlanations (SHAP) analysis that helped us explain the contributions of different features in predicting buprenorphine discontinuation. We stratified patients into risk subgroups based on their predicted likelihood of treatment discontinuation, dividing them into decile subgroups. Additionally, we used a calibration plot to analyze the reliability of the models.ResultsA total of 30,373 patients initiated buprenorphine and 14.98% (4,551) discontinued treatment. C-statistic varied between 0.56 and 0.76 for the first-stage models including patient-level demographic and clinical variables. Inclusion of proportion of days covered (PDC) measured at one-month and three-month following treatment initiation significantly increased the models’ discriminative power (C-statistics: 0.60 to 0.82). Random forest (C-statistics: 0.76, 0.79 and 0.82 with baseline predictors, one-month PDC and three-month PDC, respectively) outperformed other ML models in discriminative performance in all stages (C-statistics: 0.56 to 0.77). Most influential risk factors of discontinuation included early stage medication adherence, age, and initial days of supply.ConclusionML algorithms demonstrated a good discriminative power in identifying patients at higher risk of buprenorphine care discontinuity. The proposed framework may help healthcare providers optimize treatment strategies and deliver targeted interventions to improve buprenorphine care continuity.
Applications of Behavioral Economics to HIV Programs in Low and Middle Income Countries: A Scoping Review Using the EAST Framework
Authors: Long Elizabeth , Devine Jacqueline 
Published: November 2023

AbstractDespite significant gains and successes in many areas, progress in HIV prevention and treatment is uneven, highlighted in the 2022 UNAIDS reportIn Danger, and certain populations are being left behind. In particular, men and adolescent girls and young women (AGYW) are among the groups in danger of not reaching epidemic control targets. Among other calls for utilizing scientific innovations, PEPFAR’s Office of the Global AIDS Coordinator and Health Diplomacy recently highlighted the need to expand the use of innovative methods from behavioral science in HIV programs. One of these innovative, but underused, approaches is behavioral economics (BE), which leverages our predictable cognitive biases and mental shortcuts to both diagnose behavioral factors and positively influence behavior. The tools used by BE to change behavior are frequently called nudges, which tend to be low-cost and easy-to-implement interventions. This scoping review identified nudges applied to select client and provider behaviors along the HIV prevention, testing, and care and treatment continuum. It maps them to the commonly used EAST Framework, a simplified way to classify nudges for program design and highlights those that shifted behavior. The EAST Framework groups nudges into Easy, Attractive, Social, and Timely categories. This scoping review identified that Easy nudges were commonly applied as changes to the structure of HIV programs, influencing individual behavior through program changes. Nudges that directly targeted individuals most commonly fell into the Attractive and Social categories. Many of the individual-focused nudges in the Attractive and Social categories changed behavior, along with Easy nudges. Additionally, the mapping highlighted the dearth of nudges applied to provider behavior in the Low and Middle Income (LMIC) HIV space. Further integration of nudges into HIV programs and their evaluation using implementation science may help move the needle to end the HIV epidemic as a public health threat by 2030.
A critical review of quantity surveying education in an offsite construction perspective: strategies for up-skilling
Authors: Ginigaddara Buddhini , Gajendran Thayaparan , Beard Cameron 
Published: November 2023

Purpose
Offsite construction (OSC) is a modern method of construction (MMC) that involves manufacturing and assembly of buildings. Industry 4.0-driven technological advancements have accelerated OSC uptake causing many skilled construction workers requiring re-skilling or up-skilling. Quantity surveyors currently play an important role throughout a construction project life cycle, and hence, their knowledge on OSC projects is vital for the continuity of quantity surveying (QS) profession. The purpose of this paper is to critically review QS education in an OSC perspective and to propose strategies for up-skilling.

Design/methodology/approach
This research includes a detailed literature review of QS and OSC to evaluate how OSC affects the QS profession. Publicly available information on the university websites on accredited QS and construction management degrees was reviewed to identify OSC and MMC references, specifically the content listing and learning outcomes.

Findings
Out of the 315 degrees offered by 157 universities, only 69 degrees in 32 universities refer to OSC or MMC. OSC concept is explicitly referred in subjects related to construction technology, production management, lean construction, digital construction and MMC. As such, the research suggests including lean production principles, OSC techniques and design philosophies such as design for manufacture and assembly be added to the QS curricula.

Research limitations/implications
This research is a comprehensive desktop study that does not involve empirical data-based evaluation. Research findings inform strategies to improve QS education and professional competencies.

Originality/value
To the best of the authors’ knowledge, this paper is the first of its kind that evaluates accredited QS degrees and learning requirements in an OSC perspective.
The power of the public: air environmental concern and corporate ESG performance
Authors: Yi Lingxue , Jiang Yichi , Liu Heng 
Published: November 2023

Purpose
This study aims to investigate whether and how public air environmental concern (PAEC) affects corporate environmental, social and governance (ESG) performance in emerging markets.

Design/methodology/approach
This study measured PAEC using the Baidu index search keyword “雾霾 (PM2.5)” and assessed its impact on corporate ESG among Chinese A-share listed companies from 2011 to 2020 through regression analysis.

Findings
The empirical results indicate a positive relationship between PAEC and corporate ESG. Moreover, PAEC facilitates enhanced corporate ESG performance by mediating through corporate reputation and government environmental regulations. Heterogeneity analysis shows that the promotion effect of PAEC on ESG is more pronounced in the subgroups of companies with an excellent green image, low perceived uncertainty, strong management political connections, low short-termism, high industry technological levels and low pollution levels.

Practical implications
The practical implications of this study underscore the importance for policymakers, investors and companies to prioritize PAEC and its influence on corporate ESG performance.

Originality/value
This study contributes to ESG literature by highlighting the positive impact of external oversight, such as PAEC.
Numerical simulation of the extrusion process of viscoplastic materials using a radial point interpolation method
Authors: Rodrigues Daniel E.S. , Belinha Jorge , Natal Jorge Renato 
Published: November 2023

PurposeFused Filament Fabrication (FFF) is an extrusion-based manufacturing process using fused thermoplastics. Despite its low cost, the FFF is not extensively used in high-value industrial sectors mainly due to parts' anisotropy (related to the deposition strategy) and residual stresses (caused by successive heating cycles). Thus, this study aims to investigate the process improvement and the optimization of the printed parts.Design/methodology/approachIn this work, a meshless technique – the Radial Point Interpolation Method (RPIM) – is used to numerically simulate the viscoplastic extrusion process – the initial phase of the FFF. Unlike the FEM, in meshless methods, there is no pre-established relationship between the nodes so the nodal mesh will not face mesh distortions and the discretization can easily be modified by adding or removing nodes from the initial nodal mesh. The accuracy of the obtained results highlights the importance of using meshless techniques in this field.FindingsMeshless methods show particular relevance in this topic since the nodes can be distributed to match the layer-by-layer growing condition of the printing process.Originality/valueUsing the flow formulation combined with the heat transfer formulation presented here for the first time within an in-house RPIM code, an algorithm is proposed, implemented and validated for benchmark examples.
Comparisons between direct interpolation and reciprocity techniques of the boundary element method for solving two-dimensional Helmholtz problems
Authors: Balista Thiago Galdino , Loeffler Carlos Friedrich , Lara Luciano , Mansur Webe João 
Published: November 2023

PurposeThis work compares the performance of the three boundary element techniques for solving Helmholtz problems: dual reciprocity, multiple reciprocity and direct interpolation. All techniques transform domain integrals into boundary integrals, despite using different principles to reach this purpose.Design/methodology/approachComparisons here performed include the solution of eigenvalue and response by frequency scanning, analyzing many features that are not comprehensively discussed in the literature, as follows: the type of boundary conditions, suitable number of degrees of freedom, modal content, number of primitives in the multiple reciprocity method (MRM) and the requirement of internal interpolation points in techniques that use radial basis functions as dual reciprocity and direct interpolation.FindingsAmong the other aspects, this work can conclude that the solution of the eigenvalue and response problems confirmed the reasonable accuracy of the dual reciprocity boundary element method (DRBEM) only for the calculation of the first natural frequencies. Concerning the direct interpolation boundary element method (DIBEM), its interpolation characteristic allows more accessibility for solving more elaborate problems. Despite requiring a greater number of interpolating internal points, the DIBEM has presented higher-quality results for the eigenvalue and response problems. The MRM results were satisfactory in terms of accuracy just for the low range of frequencies; however, the neglected higher-order primitives impact the accuracy of the dynamic response as a whole.Originality/valueThere are safe alternatives for solving engineering stationary dynamic problems using the boundary element method (BEM), but there are no suitable comparisons between these different techniques. This paper presents the particularities and detailed comparisons approaching the accuracy of the three important BEM techniques, aiming at response and frequency evaluation, which are not found in the specialized literature.
Efficient iterative schemes based on Newton's method and fixed-point iteration for solving nonlinear matrix equation Xp = Q±A(X−1+B)−1AT
Authors: Erfanifar Raziyeh , Hajarian Masoud 
Published: November 2023

PurposeIn this paper, the authors study the nonlinear matrix equation Xp=Q±A(X-1+B)-1AT, that occurs in many applications such as in filtering, network systems, optimal control and control theory.Design/methodology/approachThe authors present some theoretical results for the existence of the solution of this nonlinear matrix equation. Then the authors propose two iterative schemes without inversion to find the solution to the nonlinear matrix equation based on Newton's method and fixed-point iteration. Also the authors show that the proposed iterative schemes converge to the solution of the nonlinear matrix equation, under situations.Findings The efficiency indices of the proposed schemes are presented, and since the initial guesses of the proposed iterative schemes have a high cost, the authors reduce their cost by changing them. Therefore, compared to the previous scheme, the proposed schemes have superior efficiency indices.Originality/value Finally, the accuracy and effectiveness of the proposed schemes in comparison to an existing scheme are demonstrated by various numerical examples. Moreover, as an application, by using the proposed schemes, the authors can get the optimal controller state feedback of $x(t+1) = A x(t) + C v(t)$.