bluuebunny/crossref_metadata_2025_split huggingface dataset:
The characteristics of eating, drinking and oro-pharyngeal swallowing difficulties associated with repaired oesophageal atresia/tracheo-oesophageal fistula: a systematic review and meta-proportional analysis
Authors: Stewart Alexandra , Govender Roganie , Eaton Simon , Smith Christina H. , De Coppi Paolo , Wray Jo 
Published: July 2024

Abstract
Introduction
Eating, drinking and swallowing difficulties are commonly reported morbidities for individuals born with OA/TOF. This study aimed to determine the nature and prevalence of eating, drinking and oro-pharyngeal swallowing difficulties reported in this population.

Method
A systematic review and meta-proportional analysis were conducted (PROSPERO: CRD42020207263). MEDLINE, EMBASE, CINAHL, Pubmed, Scopus, Web of Science databases and grey literature were searched. Quantitative and qualitative data were extracted relating to swallow impairment, use of mealtime adaptations and eating and drinking-related quality of life. Quantitative data were summarised using narrative and meta-proportional analysis methods. Qualitative data were synthesised using a meta-aggregation approach. Where quantitative and qualitative data described the same phenomenon, a convergent segregated approach was used to synthesise data.

Results
Sixty-five studies were included. Six oro-pharyngeal swallow characteristics were identified, and pooled prevalence calculated: aspiration (24%), laryngeal penetration (6%), oral stage dysfunction (11%), pharyngeal residue (13%), nasal regurgitation (7%), delayed swallow initiation (31%). Four patient-reported eating/drinking difficulties were identified, and pooled prevalence calculated: difficulty swallowing solids (45%), difficulty swallowing liquids (6%), odynophagia (30%), coughing when eating (38%). Three patient-reported mealtime adaptations were identified, and pooled prevalence calculated: need for water when eating (49%), eating slowly (37%), modifying textures (28%). Mixed methods synthesis of psychosocial impacts identified 34% of parents experienced mealtime anxiety and 25% report challenging mealtime behaviours reflected in five qualitative themes: fear and trauma associated with eating and drinking, isolation and a lack of support, being aware and grateful, support to cope and loss.

Conclusions
Eating and drinking difficulties are common in adults and children with repaired OA/TOF. Oro-pharyngeal swallowing difficulties may be more prevalent than previously reported. Eating, drinking and swallowing difficulties can impact on psychological well-being and quality of life, for the individual and parents/family members. Long-term, multi-disciplinary follow-up is warranted.
Androgen receptor-mediated pharmacogenomic expression quantitative trait loci: implications for breast cancer response to AR-targeting therapy
Authors: Gao Huanyao , Wei Lixuan , Indulkar Shreya , Nguyen Thanh Thanh. L. , Liu Duan , Ho Ming-Fen , Zhang Cheng , Li Hu , Weinshilboum Richard M. , Ingle James N. , Wang Liewei 
Published: July 2024

Abstract
Background
Endocrine therapy is the most important treatment modality of breast cancer patients whose tumors express the estrogen receptor α (ERα). The androgen receptor (AR) is also expressed in the vast majority (80–90%) of ERα-positive tumors. AR-targeting drugs are not used in clinical practice, but have been evaluated in multiple trials and preclinical studies.

Methods
We performed a genome-wide study to identify hormone/drug-induced single nucleotide polymorphism (SNP) genotype - dependent gene-expression, known as PGx-eQTL, mediated by either an AR agonist (dihydrotestosterone) or a partial antagonist (enzalutamide), utilizing a previously well characterized lymphoblastic cell line panel. The association of the identified SNPs-gene pairs with breast cancer phenotypes were then examined using three genome-wide association (GWAS) studies that we have published and other studies from the GWAS catalog.

Results
We identified 13 DHT-mediated PGx-eQTL loci and 23 Enz-mediated PGx-eQTL loci that were associated with breast cancer outcomes post ER antagonist or aromatase inhibitors (AI) treatment, or with pharmacodynamic (PD) effects of AIs. An additional 30 loci were found to be associated with cancer risk and sex-hormone binding globulin levels. The top loci involved the genes IDH2 and TMEM9, the expression of which were suppressed by DHT in a PGx-eQTL SNP genotype-dependent manner. Both of these genes were overexpressed in breast cancer and were associated with a poorer prognosis. Therefore, suppression of these genes by AR agonists may benefit patients with minor allele genotypes for these SNPs.

Conclusions
We identified AR-related PGx-eQTL SNP-gene pairs that were associated with risks, outcomes and PD effects of endocrine therapy that may provide potential biomarkers for individualized treatment of breast cancer.
PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models
Authors: Thomas Morgan , Ahmad Mazen , Tresadern Gary , de Fabritiis Gianni 
Published: July 2024

AbstractSMILES-based generative models are amongst the most robust and successful recent methods used to augment drug design. They are typically used for complete de novo generation, however, scaffold decoration and fragment linking applications are sometimes desirable which requires a different grammar, architecture, training dataset and therefore, re-training of a new model. In this work, we describe a simple procedure to conduct constrained molecule generation with a SMILES-based generative model to extend applicability to scaffold decoration and fragment linking by providing SMILES prompts, without the need for re-training. In combination with reinforcement learning, we show that pre-trained, decoder-only models adapt to these applications quickly and can further optimize molecule generation towards a specified objective. We compare the performance of this approach to a variety of orthogonal approaches and show that performance is comparable or better. For convenience, we provide an easy-to-use python package to facilitate model sampling which can be found on GitHub and the Python Package Index.Scientific contributionThis novel method extends an autoregressive chemical language model to scaffold decoration and fragment linking scenarios. This doesn’t require re-training, the use of a bespoke grammar, or curation of a custom dataset, as commonly required by other approaches.
The use of Guyton’s approach to the control of cardiac output for clinical fluid management
Authors: Magder Sheldon 
Published: July 2024

AbstractInfusion of fluids is one of the most common medical acts when resuscitating critically ill patients. However, fluids most often are given without consideration of how fluid infusion can actually improve tissue perfusion. Arthur Guyton’s analysis of the circulation was based on how cardiac output is determined by the interaction of the factors determining the return of blood to the heart, i.e. venous return, and the factors that determine the output from the heart, i.e. pump function. His theoretical approach can be used to understand what fluids can and cannot do. In his graphical analysis, right atrial pressure (RAP) is at the center of this interaction and thus indicates the status of these two functions. Accordingly, trends in RAP and cardiac output (or a surrogate of cardiac output) can provide important guides for the cause of a hemodynamic deterioration, the potential role of fluids, the limits of their use, and when the fluid is given, the response to therapeutic interventions. Use of the trends in these values provide a physiologically grounded approach to clinical fluid management.
Correction of nonmonotone trust region algorithm based on a modified diagonal regularized quasi-Newton method
Authors: Mirzaei Seyed Hamzeh , Ashrafi Ali 
Published: July 2024

AbstractIn this paper, a new appropriate diagonal matrix estimation of the Hessian is introduced by minimizing the Byrd and Nocedal function subject to the weak secant equation. The Hessian estimate is used to correct the framework of a nonmonotone trust region algorithm with the regularized quasi-Newton method. Moreover, to counteract the adverse effect of monotonicity, we introduce a new nonmonotone strategy. The global and superlinear convergence of the suggested algorithm is established under some standard conditions. The numerical experiments on unconstrained optimization test functions show that the new algorithm is efficient and robust.
Influence of rainfall changes from 4.6 to 3.0 ka BP on ceramic pipes
Authors: Wang Shuaiqi , Zhu Xiangyu , Tian Ye 
Published: July 2024

Abstract
The impact of climate change on human social development has been a topic of research for a long time. Ceramic pipes, which are vital components of urban drainage engineering, are crucial means of managing rain hazards and floods. Exploring the historical evolution of ceramic pipes can help in better understanding the interplay between climate change and human behavior. This study examined the diameters of 86 ceramic pipes unearthed from six cultural sites in central China, including Pingliangtai, Taosi, and Erlitou, dated to 4600–3040 a BP. By combining speleothem records from the excavation sites with precipitation and temperature composite curves for China using Pearson correlation analysis, and verifying with pollen records. The results show that changes in rainfall were the main factor influencing the diameters of the ceramic pipes. This indicates that during this period, ancient people in the Central Plains of China were able to adjust the size of the ceramic pipes to regulate the water management capacity of urban water systems, thereby adapting urban development to climate change.
Digital restoration and reconstruction of heritage clothing: a review
Authors: Ding Qian-Kun , Liang Hui-E 
Published: July 2024

Abstract
Historical, folk, and opera costumes are part of cultural heritage, embodying the history, culture, art, and spirit of given nations. Due to aging and various damages, handed-down and unearthed historical clothing is often fragile and complex to preserve. Recently, digital methods have emerged as a meaningful way to restore and reconstruct all kinds of heritage clothing. The appearance of heritage costumes can be preserved permanently and presented to the public in a more accessible and interesting way via digitization. However, there is a lack of systematic review on this topic. To fill this gap, recent progress in digital restoration and 3D virtual reconstruction of heritage clothing is reviewed in this article. On the one hand, the methods and advantages of digitally restoring damaged archaeological costumes and fabrics, as well as damaged clothing images in archaeological murals, are summarized and emphasized. On the other hand, the digital reconstruction and virtual simulation of heritage costumes from different prototypes with known or unknown original appearances using different digital frameworks are presented and discussed. Furthermore, general steps and challenges in the digital reconstruction process, as well as future directions for digitalizing heritage clothing, are also discussed.
Stable estimation of the Gutenberg–Richter b-values by the b-positive method: a case study of aftershock zones for magnitude-7 class earthquakes
Authors: Mitsui Yuta 
Published: July 2024

AbstractThe traditional approach for estimating the b-value of the Gutenberg–Richter law, which is posited to inversely correlate with differential stress, has historically relied on the maximum likelihood technique, utilizing data from earthquakes exceeding a magnitude cutoff, Mc. This traditional approach is significantly influenced by the value of Mc, leading to extensive research focused on methods for determining Mc with greater accuracy. However, a recent study introduced a novel method based on the frequency distribution of magnitude difference, termed the b-positive method. This innovative method could enable more robust b-value estimations, even in scenarios where Mc may vary spatially and temporally. Our study concentrated on analyzing aftershocks, related to 25 magnitude-7 class earthquakes surrounding the Japanese archipelago. We estimated the b-values using both the goodness-of-fit test for Mc, a traditional approach, and the b-positive method. The aftershock data were examined over two distinct time frames: the initial 10 days following each mainshock and an extended period of 1000 days. Our findings indicated that the estimates produced by the b-positive method showed negligible variation between the 10-day and 1000-day aftershock periods (correlation coefficient of 0.95), whereas the traditional approach tended to yield lower b-values for the 10-day aftershocks compared to those from the 1000-day period. Variations in b-values, when analyzed using the traditional approach, could be inaccurately ascribed to temporal fluctuations in differential stress that may not actually be present. The b-positive method offers a vital solution to prevent these erroneous interpretations, serving as an essential alternative.
Graphical abstract
Prevalence of osteoporosis and associated factors among people aged 50 years and older in the Madhesh province of Nepal: a community-based cross-sectional study
Authors: Chaudhary Narendra Kumar , Sunuwar Dev Ram , Sapkota Manish Raj , Pant Suman , Pradhan Mary , Bhandari Kailash Kumar 
Published: July 2024

Abstract
Background
The high prevalence of osteoporosis has increased the economic burden on the health system globally. The burden of osteoporosis and its associated factors have not been adequately assessed in community settings in the Nepalese context thus far. Therefore, this study aimed to assess the prevalence of osteoporosis and its associated factors, lifestyle behaviors, and dietary calcium intake.

Methods
A community-based cross-sectional study was conducted among 395 people aged 50 years and older in the Madhesh Province of Nepal between July 2022 and August 2023. The Osteoporosis Self-assessment Tools for Asians (OSTA) index was used to measure osteoporosis. A structured questionnaire was used to collect sociodemographic information, anthropometric data, lifestyle behavior, daily dietary calcium intake, and frequency of calcium-rich food consumption. A food frequency questionnaire and 24-hour recall methods were used to assess dietary intake. The chi-square test, binary logistic regression and Mann‒Whitney U test were applied to measure the association between predictors and the outcome of interest.

Results
The prevalence of no risk, moderate risk and high risk of osteoporosis were 38.7%, 39%, and 22.3% respectively. The risk of osteoporosis was higher in females (aOR = 5.18, CI: 2.10-12.75, p < 0.001) and increased risk with advancing age (aOR = 32.49, CI: 14.02–75.28, p < 0.001). Similarly, underweight was associated with increased odds of having osteoporosis (aOR = 13.42, CI = 4.58–39.30, p < 0.001). The incidence of osteoporosis was strongly associated with daily calcium intake of 225 mg (100, 386).

Conclusion
This study revealed a high prevalence of osteoporosis among people aged 50 years and older due to the combined effect of being underweight and having inadequate calcium intake. Nutritional counselling services encourage people to consume sufficient calcium-rich food and adopt an appropriate lifestyle behaviours to maintain healthy body weight so that osteoporosis and osteoporotic fractures could be prevented. Further research can explore the impact of socioeconomic status and medical comorbidities on a large scale.
Use of airborne LiDAR to predict fine dead fuel load in Mediterranean forest stands of Southern Europe
Authors: Lin Di , Giannico Vincenzo , Lafortezza Raffaele , Sanesi Giovanni , Elia Mario 
Published: July 2024

Abstract
Background
Mediterranean forests are increasingly threatened by wildfires, with fuel load playing a crucial role in fire dynamics and behaviors. Accurate fuel load determination contributes substantially to the wildfire monitoring, management, and prevention. This study aimed to evaluate the effectiveness of airborne Light Detection and Ranging (LiDAR) data in estimating fine dead fuel load, focusing on the development of models using LiDAR-derived metrics to predict various categories of fine dead fuel load. The estimation of fine dead fuel load was performed by the integration of field data and airborne LiDAR data by applying multiple linear regression analysis. Model performance was evaluated by the coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE).

Results
Through multiple linear regression models, the study explored the relationship between LiDAR-derived height and canopy cover metrics and different types of fine dead fuel load (1-h, 10-h, 100-h fuel loads, and litter). The accuracy of these models varied, with litter prediction showing the highest accuracy (R2 = 0.569, nRMSE = 0.158). In contrast, the 1-h fuel load prediction was the least accurate (R2 = 0.521, nRMSE = 0.168). The analysis highlighted the significance of specific LiDAR metrics in predicting different fuel loads, revealing a strong correlation between the vertical structure of vegetation and the accumulation of fine dead fuels.

Conclusions
The findings demonstrate the potential of airborne LiDAR data in accurately estimating fine dead fuel loads in Mediterranean forests. This capability is significant for enhancing wildfire management, including risk assessment and mitigation. The study underscores the relevance of LiDAR in environmental monitoring and forest management, particularly in regions prone to wildfires.
Biventricular repair in low-weight patient with interrupted aortic arch and aortic atresia
Authors: Soynov Ilya A. , Arkhipov Alexey N. , Manukian Serezha N. , Kulyabin Yuriy Y. , Kobelev Evgeniy , Malakhova Oksana Y. , Voitov Alexey V. , Suzdalova Olga A. 
Published: July 2024

Abstract
Background
Aortic atresia with ventricular septal defect is a very rare congenital cardiac anomaly, especially in combination with aortic arch interruption. It is always challenging to choose the optimal treatment tactics for such patients. One of the possible types of intervention is the Yasui procedure. There are only 19 reported cases in the literature of aortic atresia with interruption of the aortic arch type B or C, and not a single clinical case of type A.

Case presentation
The proband was a 2-day-old boy with diagnosis: aortic atresia with a ventricular septal defect and interruption of the aortic arch type B. The child underwent a Yasui procedure without serious postoperative complications and with good long-term result.

Conclusions
The Yasui procedure in patients with aortic atresia and interrupted aortic arch can be performed with minimal complications, even in low-weight patients.
Short-cut route validated for monitoring fentanyl and its metabolite in urine using LC–MS/MS, in a wide concentration range
Authors: Cavus Yonar Fatma , Anılanmert Beril , Acikkol Munevver 
Published: July 2024

Abstract
Background
Fentanyl is a highly potent analgesic, used in surgery, frequently abused or used in drug-facilitated crimes (DFC) and in military activities. It is also increasingly used in the treatment of chronic pain (especially in cancer patients). The improper use of transdermal patch forms can cause toxicity and deaths, related to overdose or combined use with other drug substances. Methods are needed for fast, reliable and inexpensive fentanyl detection and we aimed to develop such a method in urine using LC–MS/MS, especially for toxic and fatal concentrations which lack in the literature.

Results
An LC–MS/MS method has been presented for the co-determination of fentanyl and its main metabolite, norfentanyl in urine. The recoveries of the extraction method were 95(± 6)% and 70(± 9)% for fentanyl and norfentanyl, respectively. LOD and LOQ values are 1.7 and 14.0 ng/mL for fentanyl, while they were 20.6 ng/mL and 42.0 ng/mL for norfentanyl.

Conclusion
A rapid, sensitive, very practical, inexpensive and a high-recovery analysis method is developed and validated. This is the only fentanyl monitoring LC–MS/MS method in urine having a linearity over a wide range up to 500.0 ng/mL and its success is demonstrated on real samples in the therapeutic drug monitoring of fentanyl and is expected to contribute to clarify intoxications/deaths related to its use.

Graphical Abstract
Multi-objective parametric optimization process of hybrid reinforced titanium metal matrix composite through Taguchi-Grey relation analysis (TGRA)
Authors: Gemeda Birhane Assefa , Sinha Devendra Kumar , Mengesha Getinet Asrat , Gautam Satyam Shivam 
Published: July 2024

AbstractHybrid titanium metal matrix composites (HTMMCs) are advanced composite materials that can be tailored to a variety of applications. Because of their decreased fuel consumption and cost, they are popular in the transportation industry. Using multi-objective optimization and Taguchi-based Grey relational analysis (TGRA), this study investigates the impact of hybrid reinforced HTMMCs synthesized using powder metallurgy on their physic mechanical properties. The research investigates reinforcements such as B4C, SiC, ZrO2, and MoS2 at various compaction pressures, milling durations, and sintering temperatures. The best powder metallurgy control parameters for HTMMC synthesis, with a milling time of 5 h, a compaction pressure of 40 MPa, a sintering temperature of 1200 °C, and a sintering time of 1 h, and a compaction time of 40 min. According to validation results, HTMMC material with optimized process parameters had experimental densities, porosities, hardness, compressive strength, and wear rates of 4.29 gm/cm3, 0.1178%, 71.53RHN, 2782.36 MPa, and 0.1519 mm3 correspondingly. The material hardness was increased by 1.99% and compressive strength by 2.87%. The use of Taguchi and GRA techniques strongly verified that the impact of milling duration and sintering temperature was the greatest of all five factors. The novel synthesized hybrid reinforcing HTMMCs outperformed pure Ti grade 5 and single and double fortified HTMMCs in terms of physic mechanical characteristics. As a result, the newly developed tetra hybrid reinforced HTMMC material is expected to be used in heavy-duty vehicles, aerospace, automobiles, maritime, and other industries.