bluuebunny/crossref_metadata_2025_split huggingface dataset:
A perceived suggestion for green infrastructure planning strategies at urban park in Malaysia: A case study in Taman Tasik Bandar Enstek
Authors: Azuwa Nurzawani 
Published: August 2024

Abstract
Urban parks have long played an integral role in community landscapes. Urban parks are great locations for green infrastructure because they are frequently highly visible, multipurpose public places with green features. As awareness of the benefits of green infrastructure has expanded over the last decade, its utilization has increased. However, in Malaysia there is still less use of green infrastructure in urban parks, even parks that apply green infrastructure are not well maintained. The lack of maintaining green infrastructure features can reduce the benefits of parks to create new high-performance public spaces towards social and economic consequences. The study explores the suggestion for green infrastructure planning strategies at urban park in Malaysia. This study was conducted at Taman Tasik Bandar Enstek. The objective of this study is to assess the quality of green infrastructure at Taman Tasik Bandar Enstek and provide suggestions of green infrastructure element at Taman Bandar Taman Tasik Bandar Enstek. The study was using descriptive case study where observations were conducted. The site analysis was conducted to identify the quality of green infrastructure at Taman Tasik Bandar Enstek. The possibility of certain enhancements to the site’s amenities or infrastructure, as well as an emphasis on making more effective use of scarce resources. Optimizing the management of green infrastructure would result in a better design that will provide healthy and high-quality urban living. Humankind benefits psychologically and physiologically from experiencing and interacting with nature, as well as spiritual well-being.
On the comparison between topological and surface sensitivities for bio-fluid dynamics applications
Authors: Segalerba Eric , Gallorini Emanuele , Quadrio Maurizio , Pralits Jan 
Published: August 2024

Abstract
Nasal Breathing Difficulties (NBD) consist of pathologies which are difficult to diagnose, heal and affect a high percentage of the population; the only way to treat these diseases is, most of the times, by surgery but the success rate is not very high since many patients have no relief from it. This should be attributed to the variety of the nose’s functions, which is far more complex than a simple duct to connect the environment to the lungs. CFD is emerging as an innovative approach to study these problems systematically; in this contribution the target is to use a method based on adjoint equations to get senstivity maps whose purpose is to provide surgeons with more informations on which are the regions, inside the nose, to focus on. This work focuses only on the reduction of the pressure drop across the nose, therefore a single objective function is used. Three different frameworks, with two formulations of the continuous adjoint equation method, are compared: in two cases topological sensitivities were used while in the latter the surface sensitivity was evaluated.
Evaluation of a carbon dioxide fish barrier with OpenFOAM
Authors: Politano M , Cupp A , Smith D , Schemmel A , Jackson P R , Zuercher J 
Published: August 2024

Abstract
The Chicago Area Waterway System (CAWS) is a potential route for the migration of aquatic invasive species from the Mississippi River basin into the Great Lakes. Electric deterrence barriers were constructed in the Chicago Sanitary Ship Canal (CSSC), within CAWS, to prevent invasive fish from reaching the Great Lakes. Despite the high efficiency of these barriers, occasional maintenance events are a weakness in the system that fish can exploit to access the Great Lakes. This study aimed to assess the feasibility of a carbon dioxide (CO2) infusion system to deter fish during the maintenance of the electric barriers. A simplified two-fluid model was implemented in the OpenFOAM solver to represent the underwater CO2 bubble plume and predict the concentration of dissolved CO2 in the canal. Simulations under three canal flowrates and two sparger systems were conducted assuming a constant gas flowrate. Numerical results indicate that, for all simulated conditions, the CO2 concentration is not fully mixed creating passageways that invasive fish could potentially use to migrate upstream. Injecting 4-mm bubbles induces two large-scale recirculations that are expected to synergistically improve fish avoidance. On the other hand, injection of 20 μm bubbles results on almost immediate dissolution with minimal impact on the flow pattern. To improve effectiveness, a pulse system was proposed to create a CO2 gradient, and thus promote a more responsive behaviour from fish. According to the simulations, this system not only increases efficiency but also extends the operation of the CO2 barrier. Moreover, the pulse concept mitigates potential impact of elevated CO2 downstream of the CSSC.
Lagrangian properties of the blood flow through human and murine aortic arches: towards improved customised therapies and diagnostic techniques
Authors: Ghiglia Simone , Mazzuoli Marco , Guerrero Joel 
Published: August 2024

Abstract
The mass transport properties of the blood flow in the aortic arch are investigated by means of direct numerical simulations. The aortic arches in human and murine cases are assumed to be similar (with similarity factor equal to 20) and characterised by constant diameter, while the axis lays on a plane. The simulations were carried out using OpenFOAM (v.10). The flow regime appears remarkably different in the two cases because flow separation and vortical structures appear during the systolic phases in the human case, which are absent at the mouse scale. Consequently, peaks of the wall-shear-stress occur at different phases and, in the murine case, are characterised by a magnitude nearly 4 times larger than in the human case. The trajectories of fluid particles are computed in order to evaluate the dispersion efficiency exploited by biomedical applications (e.g. drug delivery or solid micro carriers). Despite the different flow regimes, in both system particles uniformly released at the inlet preserve a homogeneous distribution as they flow in the aortic arch. In particular, during the early decelerating phases of systole, the fluid trajectories are found frequently to approach the zones of the wall where the shear-stress is large.
Synergistic effect of cobalt ferrite-graphene oxide based hyperthermia and capsaicin to induce apoptosis and inhibit telomerase activity in breast cancer cells
Authors: Lajevardian Seyed Ali , Alibakhshi Abbas , Hosseinzadeh Simzar , Mobaraki Fatemeh , Movahedi Monireh , Hatamie Shadie , Tabarzad Maryam , Ranjbari Javad 
Published: August 2024

Abstract
Capsaicin is a bioactive phytochemical of red and chili peppers. It has shown therapeutic properties, including anticancer activities. In this study, the potential anti-telomerase effect of capsaicin, as well as synergic inhibitory effect of this compound in combination with cobalt ferrite-graphene oxide nanocomposites was investigated on breast cancer cell line. For this purpose, cobalt ferrite/graphene oxide (CoFe2O4/GO) nanoparticles were synthesized and characterized. Then, the effect of different concentrations of capsaicin and CoFe2O4/GO nanoparticles, and their combination on the breast adenocarcinoma cell lines (MCF-7 and MCF-10A) were analyzed using MTT assay and quantitative real-time PCR for assessing their effect on the cell viability and the expression changes in telomerase reverse transcriptase (tert), Bax and Bcl2 genes, respectively. The results showed a synergistic effect of capsaicin and CoFe2O4/GO NPs on MCF-7 cell lines that reduced the IC50 value from 0.1 and 1 mg/ml for capsaicin and CoFe2O4/GO nanoparticles, to 0.05 and 0.5 mg ml−1, respectively. Moreover, telomerase and bcl2 genes expression decreased after capsaicin and CoFe2O4/GO NPs treatment; while in contrast, bax gene expression significantly increased. Consequently, capsaicin and CoFe2O4/GO NPs treatment could induce apoptosis and inhibit the growth of breast cancer cells. In conclusion, combinational treatment with capsaicin and CoFe2O4/GO NPs could be considered as an efficient therapeutic regimen for breast cancer.
From Rome to Rabat: Carla Accardi’s Encounters with Moroccan Modernism
Authors: Morale Giulia 
Published: August 2024

Abstract
In December 1972, the Sicilian, Rome-based artist Carla Accardi landed in Rabat for an exhibition at the Galerie de l’Atelier. The exhibition included her Tent (1965–1966), a nomadic dwelling built with see-through plastic sheets and adorned with arabesque signs and luminous waves, as well as a series of paintings on canvas made of similar colourful signs. This essay contextualises Accardi’s journey from Rome to Rabat, the first of her frequent travels to Morocco, within a series of encounters with an art group known as the School of Casablanca. The group included Moroccan artists Farid Belkahia, Mohammed Chabâa and Mohamed Melehi, the gallerist Pauline De Mazières, founder of l’Atelier, and the Sicilian anthropologist and art critic Toni Maraini. It ultimately seeks to contribute to a wider disciplinary call to reorient modern Italian studies away from Euro-American paradigms, and towards the politics and poetics of the South, here used in its more fluid definition to denote the wider Mediterranean region.
CycPeptMP: enhancing membrane permeability prediction of cyclic peptides with multi-level molecular features and data augmentation
Authors: Li Jianan , Yanagisawa Keisuke , Akiyama Yutaka 
Published: August 2024

Abstract
Cyclic peptides are versatile therapeutic agents that boast high binding affinity, minimal toxicity, and the potential to engage challenging protein targets. However, the pharmaceutical utility of cyclic peptides is limited by their low membrane permeability—an essential indicator of oral bioavailability and intracellular targeting. Current machine learning-based models of cyclic peptide permeability show variable performance owing to the limitations of experimental data. Furthermore, these methods use features derived from the whole molecule that have traditionally been used to predict small molecules and ignore the unique structural properties of cyclic peptides. This study presents CycPeptMP: an accurate and efficient method to predict cyclic peptide membrane permeability. We designed features for cyclic peptides at the atom-, monomer-, and peptide-levels and seamlessly integrated these into a fusion model using deep learning technology. Additionally, we applied various data augmentation techniques to enhance model training efficiency using the latest data. The fusion model exhibited excellent prediction performance for the logarithm of permeability, with a mean absolute error of $0.355$ and correlation coefficient of $0.883$. Ablation studies demonstrated that all feature levels contributed and were relatively essential to predicting membrane permeability, confirming the effectiveness of augmentation to improve prediction accuracy. A comparison with a molecular dynamics-based method showed that CycPeptMP accurately predicted peptide permeability, which is otherwise difficult to predict using simulations.
Rationale for adopting a combination of monoparametric MRI with the prostate-specific antigen in detecting clinically significant prostate cancer: comparison with standard biparametric and multiparametric MRI
Authors: Park Seung Hyun , Choi Moon Hyung , Lee Young Joon , Jung Seung Eun 
Published: August 2024

Abstract

Objectives
To compare prostate monoparametric MRI (monoMRI), which uses only diffusion-weighted imaging (DWI), with biparametric (bpMRI) and multiparametric MRI (mpMRI) in detecting clinically significant cancer (CSC) and to evaluate the effect of the combination of monoMRI results and prostate-specific antigen (PSA) level.

Methods
In this study, 193 patients (average age 70.5 years; average PSA 7.9 ng/mL) underwent prebiopsy MRI and subsequent prostate biopsy from January 2020 to February 2022. Two radiologists independently reviewed the 3 MRI protocols using the Prostate Imaging Reporting and Data System (PI-RADS). Interreader agreement was assessed using the intraclass correlation coefficient (ICC), and diagnostic performance was evaluated with receiver operating characteristic (ROC) curve analysis. The Youden index was used to determine the new cutoff value of PSA for detecting CSCs in patients with negative monoMRI results.

Results
CSC was confirmed in 109 patients (56.5%). The interreader agreement on monoMRI (ICC = 0.798) was comparable to that on bpMRI and mpMRI (ICC = 0.751 and 0.714, respectively). ROC curve analysis of the 3 protocols revealed no difference in detecting CSCs (P &gt; 0.05). Applying a new PSA cutoff value (9.5 and 7.4 ng/mL, respectively) in monoMRI-negative patients improved the sensitivity of monoMRI from 89.9% to 96.3% for Reader 1, and from 95.4% to 99.1% for Reader 2.

Conclusions
MonoMRI based solely on DWI demonstrated similar diagnostic performance to bpMRI and mpMRI in detecting CSCs, and the combination of PSA level with monoMRI has the potential to effectively triage patients with a high likelihood of CSCs.

Advances in knowledge
Monoparametric MRI conducted only with diffusion-weighted imaging (DWI), may show comparable performance to biparametric and multiparametric MRI in detecting clinically significant prostate cancer. In patients with negative monoparametric MRI results, implementing a new PSA cutoff value to determine the need for a biopsy could decrease the number of missed prostate cancer.
434 Determining the Utility of Early Phase [99mTc]Tc-MIBI Single-Photon Emission Computed Tomography with Contrast Enhanced Computerised tomography(SPECT/CECT) in Localisation of Parathyroid Adenomas for Surgical Planning
Authors: Vemulapalli K , Pencharz D 
Published: August 2024

Abstract

Aim
To assess the utility of early phase [99mTc]Tc-MIBI SPECT scan compared to delayed phase [99mTc]Tc-MIBI SPECT and contrast-enhanced CT imaging in patients undergoing [99mTc]Tc-MIBI SPECT/CECT for localisation of parathyroid adenomas in preparation for parathyroidectomy surgery.

Method
A retrospective review of the images and reports of 52 consecutive patients who underwent nuclear medicine parathyroid studies was carried out. These were assessed to determine utility in interpretation of the early-phase SPECT compared to the delayed-phase SPECT and contrast-enhanced CT in detecting and localising parathyroid adenomas in preparation for parathyroidectomies by otorhinolaryngology surgeons.

Results
In 73% (n=38/52) of patients, the early-phase SPECT did not add any benefit to the localisation of the parathyroid adenoma. There were no patients who had any clear benefit by undergoing an early-phase SPECT. In 12% (n=6/52) of patients, there was no adenoma seen on any imaging modality. 12% (n=6/52) of patients were excluded because there was no contrast medium administered, and one patient had their study cancelled.

Conclusions
Overall, there was no evidence that the early-phase SPECT study added any benefit to the localisation of parathyroid adenomas, when performing [99mTc]Tc-MIBI SPECT/CECT scans. We plan to perform a prospective study with a larger sample size to draw more concrete conclusions and overcome the limitations of this retrospective study design. By not performing the early-phase SPECT study, there can be increased scanner time available to perform a greater number of imaging studies in a given timeframe, without having an impact on surgical planning or patient outcomes.
815 A Retrospective Audit of the Management of Calcium Following Total or Completion Thyroidectomy, a Two Cycle Audit
Authors: Wharf O , Subramaniam M 
Published: August 2024

Abstract

Aim
Hypocalcaemia is a major complication following total and completion thyroidectomy, causing severe symptoms such as paraesthesia, seizures and increasing hospitalisation time. We aimed to minimise the incidence of complications and readmission due to hypocalcaemia following thyroid surgery by reviewing adherence to local guidelines and considering how current practice could be improved.

Method
Retrospective analysis of 26 case files was performed, notes were reviewed for documentation of prescription of Calcichew-D3 before surgery, timing of calcium and parathyroid blood tests and whether the local guidelines for post-operative care after total or completion thyroidectomy were correctly followed. A re-audit was performed after local guidelines were updated, an education session was delivered to staff and a pre-operative pack was produced. The pack included the patient’s consent form, symptoms of hypocalcaemia and, if eligible, a prescription of Calcichew-D3.

Results
100% of patients had their calcium level correctly checked the following morning. Despite this, 3 patients were readmitted with hypocalcaemia following surgery. There was only evidence that 58% of patients had Calcichew-D3 recommended before surgery. Following the interventions, local guidelines were followed correctly in 100% of patients and no patients were readmitted due to hypocalcaemia over the audit period.

Conclusions
An update of local guidelines and education of staff led to an increased understanding of the management of hypocalcaemia following thyroid surgery and there was a reduced incidence of readmissions over the audit period. Furthermore, correct use of guidelines would lead to potential cost saving through avoidance of unnecessary blood tests.
Using integrative taxonomy to clarify species boundaries in Diervilla (bush-honeysuckle, Caprifoliaceae)
Authors: Mathews Katherine G , Wheeler Brandon , Silveira Luiz 
Published: August 2024

Abstract
The taxonomic limits across Diervilla, a genus endemic to Eastern North America, are puzzling, compounded by broad morphological variation within species which may overlap across species. Here we used an integrative taxonomic approach to determine the degree of genetic, morphological, and geographical overlap across Diervilla species. We combined phylogenetic and quantitative analysis of ddRAD sequences, multivariate morphometrics, and qualitative morphological comparisons, and gathered occurrence data from herbarium specimens and samples collected anew. Species delimitation methods consistently identified D. lonicera as distinct, but disagreed on the limits between D. rivularis and D. sessilifolia. However, all three species can be consistently separated genetically, as revealed by principal coordinates analysis of the ddRAD sequences, as well as morphologically, as revealed by linear discriminant analysis of morphometric data. The distinctiveness across the three species was further confirmed by separate permutational analyses of variance. Moreover, the three species are largely separated geographically: D. lonicera is predominantly northern in distribution and restricted to higher elevations at lower latitudes, while D. rivularis and D. sessilifolia are parapatric in the Southern Appalachians. Informed by our integrative analyses, we provide information on geographical distributions and a dichotomous key for Diervilla species.
Landscape of racial and ethnic health disparities in the All of Us Research Program
Authors: Lam Vincent , Sharma Shivam , Spouge John L , Jordan I. King , Mariño-Ramírez Leonardo 
Published: August 2024

Abstract
The All of Us Research Program (“All of Us”) is an initiative led by the National Institutes of Health whose goal is to advance research on personalized medicine and health equity through the collection of genetic, environmental, demographic, and health data from volunteer participants who reside in the USA. The program’s emphasis on recruiting a diverse participant cohort makes “All of Us” an effective platform for investigating health disparities. In this work, we analyzed participant electronic health record (EHR) data to identify the diseases and disease categories in the “All of Us” cohort for which racial and ethnic prevalence disparities can be observed. In conjunction with these analyses, we developed the US Health Disparities Browser as an interactive web application that enables users to visualize differences in race- and ethnic-group-specific prevalence estimates for 1755 different diseases: https://usdisparities.biosci.gatech.edu/. The web application features a catalog of all diseases represented in the browser, which can be sorted by overall prevalence as well as the variance in prevalence across racial and ethnic groups. The analyses outlined here provide details on the nature and extent of racial and ethnic health disparities in the “All of Us” participant cohort, and the accompanying browser can serve as a resource through which researchers can explore these disparities
Database URL: https://usdisparities.biosci.gatech.edu.
Acupuncture indication knowledge bases: meridian entity recognition and classification based on ACUBERT
Authors: Xu TianCheng , Wen Jing , Wang Lei , Huang YueYing , Zhu ZiJing , Zhu Qian , Fang Yi , Yang ChengBiao , Xia YouBing 
Published: August 2024

Abstract
In acupuncture diagnosis and treatment, non-quantitative clinical descriptions have limited the development of standardized treatment methods. This study explores the effectiveness and the reasons for discrepancies in the entity recognition and classification of meridians in acupuncture indication using the Acupuncture Bidirectional Encoder Representations from Transformers (ACUBERT) model. During the research process, we selected 54 593 different entities from 82 acupuncture medical books as the pretraining corpus for medical literature, conducting classification research on Chinese medical literature using the BERT model. Additionally, we employed the support vector machine and Random Forest models as comparative benchmarks and optimized them through parameter tuning, ultimately leading to the development of the ACUBERT model. The results show that the ACUBERT model outperforms other baseline models in classification effectiveness, achieving the best performance at Epoch = 5. The model’s “precision,” “recall,” and F1 scores reached above 0.8. Moreover, our study has a unique feature: it trains the meridian differentiation model based on the eight principles of differentiation and zang-fu differentiation as foundational labels. It establishes an acupuncture-indication knowledge base (ACU-IKD) and ACUBERT model with traditional Chinese medicine characteristics. In summary, the ACUBERT model significantly enhances the classification effectiveness of meridian attribution in the acupuncture indication database and also demonstrates the classification advantages of deep learning methods based on BERT in multi-category, large-scale training sets.
Database URL: http://acuai.njucm.edu.cn:8081/#/user/login?tenantUrl=default