bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maximising the Recovery of Phenolic Antioxidants from Wild Strawberry (<em>Fragaria vesca</em>) Leaves Using Microwave-Assisted Extraction and Accelerated Solvent Extraction
Authors: Terpinc Petra , Dobroslavić Erika , Garofulić Ivona Elez , Repajić Maja , Cegledi Ena , Dobrinčić Ana , Pedisić Sandra , Levaj Branka 
Published: November 2023

Wild strawberry (Fragaria vesca L.) leaves possess diverse antioxidant properties, mainly due to the different classes of phenolics. In this study, microwave-assisted extraction (MAE) and accelerated solvent extraction (ASE) of wild strawberry phenolics were carried out to understand the impact of extraction temperature, extraction time and solvent-to-sample ratio (SSR) on the quantitative and qualitative properties of the obtained extracts. The highest total phenolic content (8027 mg GA/100 g DW), as well the highest DPPH• antiradical activity (903 mol TE/g DW) was obtained with ASE at 150 °C, static time 5 min and SSR of 40:1; while the highest ABTS•+ antiradical activity (681 mol TE/g DW,) and FRAP (2389 mol TE/g DW) was obtained with MAE after 5 min at 80 °C and a SSR of 40:1. The correlation analysis showed that phenolics largely contributed to the antioxidant properties of the studied MAE extracts, while correlation was not found in ASE extracts. A total of 54 different phenolics were identified by UPLC/MS-MS in MAE and ASE extracts obtained at optimal extraction conditions. MAE extract was shown to have a higher content of phenolic acids (40%), but lower content of proanthocyanidins (88%), flavonols (29%), flavan-3-ols (50%) and flavones (39%) than ASE extract.
Factors Influencing Postoperative Outcomes in Children with Ureteropelvic Junction Obstruction: A Logistic Regression Analysis
Authors: Zhang Li , Zhong Qingtao , Wang Xuan , He Jiali , Li Peng , YU Xianhai , Wu Shengde , Hua Yi , Liu Feng , Liu Xing , He Dawei , Lin Tao , Wei Guanghui , Zhang Deying 
Published: November 2023

Background: Pediatric ureteropelvic junction obstruction (UPJO) is a common urinary tract issue. Accurate assessment of postoperative kidney function is crucial for prognosis. Previous studies mainly focused on postoperative renal function and individual factors. Radionuclide imaging was costly and unsuitable for long-term follow-up. For aligning closely with clinical needs, we emphasizing renal morphology enhancement, and comprehensively analyzed factors influencing UPJO surgery outcomes.
Methods: We retrospectively studied 150 pediatric UPJO patients (July 2012-July 2022) with severe anteroposterior renal pelvis dilation (APD grades 4-5) who underwent laparoscopic dismembered pyeloplasty. Demographics, symptoms, preoperative findings, and postoperative renal ultrasounds were assessed. We performed multivariable logistic regression analysis to identify significant predictors of prognosis and construct a regression model.
Results: Among the 150 pediatric patients, 78 (52%) showed improvement in renal morphology after surgery. In the multivariate logistic regression analysis, age at surgery, duration of hydronephrosis, body weight, and preoperative creatinine were identified as significant prognostic factors for postoperative outcomes. The nomogram (AUC: 0.92) was constructed based on these factors and could serve as a useful tool for clinicians in evaluating the surgical prognosis of children with UPJO.
Conclusions: This study reveals that among pediatric patients with severe hydronephrosis resulting from UPJO, those who are younger, have a shorter duration of illness, normal serum creatinine levels, and a healthy body weight tend to experience better postoperative recovery. This finding emphasizes the importance of adopting more proactive clinical interventions when managing such cases, with the goal of achieving enhanced recovery outcomes for affected children.
Pelatihan Manajemen Stunting pada Anak Baduta dan Peranan Pangan Kebutuhan Medis Khusus (PKMK) bagi Perawat
Authors: Kamenyangan Sari Maria Galuh , Indriani Astri Tantri , Landiasari Debby Andina , Dyanneza Frieska , Novitasari Ririn Kartika , Kadafi Muamar , Riyansari Septina 
Published: November 2023

<p>Stunting adalah masalah kurang gizi kronis yang berakibat gangguan pertumbuhan pada anak yakni tinggi badan anak lebih rendah dari standar usianya. Kondisi tubuh anak yang pendek seringkali dikaitkan sebagai faktor keturunan (genetik) dari kedua orang tuanya, sehingga masyarakat banyak yang hanya menerima tanpa berbuat apa-apa untuk mencegahnya.</p><p>Pencegahan stunting merupakan salah satu fokus pemerintah yang bertujuan agar anak-anak Indonesia dapat bertumbuh dan berkembang secara optimal dan menjadi generasi masa depan yang berkualitas. Perawat merupakan salah satu komponen tenaga kesehatan yang mempunyai peranan penting dalam hal pencegahan stunting, baik mengenai pengkajian risiko penyebab stunting maupun tatalaksananya. Tujuan pengabdian masyarakat ini adalah untuk meningkatkan kemampuan manajemen stunting bagi anak usia dibawah 2 tahun bagi perawat. Pengabdian ini kami wujudkan dalam bentuk pelatihan dengan susunan materi yang berkaitan dengan manajemen stunting dan peran PKMK dalam mengatasi stunting. Mitra kegiatan pengabdian ini adalah PPNI RS UNS.</p><p>Subjek kegiatan pengabdian ini adalah 65 perawat Rumah Sakit UNS. Hasil evaluasi menunjukkan peningkatan pemahaman dan kesadaran para perawat terkait pentingnya stunting dan penatalaksanaannya pada anak sebelum 2 tahun dibandingkan sebelum penyuluhan. Secara bertahap akan kami selenggarakan pelatihan bagi Dokter Umum Rumah Sakit UNS, Dokter Umum dan Perawat-perawat di Puskesmas maupun Klinik Pratama yang berada di sekitar RS UNS, juga nantinya kami berharap akan menyentuh masyarakat awan di lingkungan Sukoharjo pada khususnya dan masyarakat luas di luar lingkungan Kabupaten Sukoharjo. Semua usaha tersebut kami lakukan sebagai wujud komitmen besar Rumah Sakit UNS untuk memberantas stunting dan menjadi bagian dari pencetak generasi penerus yang lebih baik.</p>
Hamstring Injury Treatments and Management in Athletes
Authors: Poursalehian Mohammad , Lotfi Mohadeseh , Zafarmandi Sahar , Arabzadeh Bahri Razman , Halabchi Farzin 
Published: November 2023

Background:
The field of sports medicine presents a varied landscape of research on hamstring injuries in athletes, characterized by inconclusive and sometimes conflicting findings on effective treatment and rehabilitation strategies. This discordance prompted the current systematic investigation.

Methods:
Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed for conducting the systematic review. Multiple international bibliometric databases (Scopus, PubMed, Web of Science, and Embase) were searched to identify studies evaluating any treatment option for the management of hamstring injuries in athletes. Eligible studies were appraised for quality using Joanna Briggs Institute and Risk of Bias 2 tools.

Results:
A total of 30 studies with 1,195 participants were included. Of the reviewed studies, treatments varied from aggressive rehabilitation, platelet-rich plasma (PRP) injections, manual techniques, various exercise protocols to modalities like high-power laser and nonsteroidal anti-inflammatory drugs. Evidence suggested benefits from treatments like extensive muscle lengthening during eccentric actions, progressive agility, and trunk stabilization. PRP injections produced mixed results regarding return to sport and reinjury rates. Stretching exercises, sometimes combined with cryotherapy, showed benefits.

Conclusion:
Treatments for hamstring injuries exhibit varied efficacy. Although rest, ice, compression, and elevation remains essential for acute management, rehabilitation focusing on muscle strengthening and flexibility is crucial. The potential benefits of PRP injections, especially for chronic cases, require more conclusive research. A comprehensive approach, combining evidence-based practices and patient-centric factors, is vital for effective management and recovery.

Level of Evidence:

Level IV. See Instructions for Authors for a complete description of levels of evidence.
High quality assemblies of four indigenous chicken genomes and related functional and genetics data resources
Authors: Wu Siwen , Wang Kun , Dou Tengfei , Yuan Sisi , Yan Shixiong , Xu Zhiqiang , Liu Yong , Jian Zonghui , Zhao Jingying , Zhao Rouhan , Zi Xiannian , Gu Dahai , Liu Lixian , Li Qihua , Wu Dong-Dong , Su Zhengchang , Jia Junjing , Ge Changrong 
Published: November 2023

Abstract
Many lines of evidence indicate that red jungle fowl (RJF) is the primary ancestor of domestic chickens. Although multiple versions of RJF (GRCg1~GRCg6a) and commercial chicken (GRCg7b/w) genomes have been assembled since 2004, no high-quality indigenous chicken genomes have been assembled, hampering the understanding of chicken domestication and evolution. To fill the gap, we sequenced the genomes of four indigenous chickens with distinct morphological traits in southwest China, using a combination of short, long and Hi-C reads. We assembled each genome (~1.0 Gb) into 42 chromosomes with chromosome N50 90.5~90.9 Mb, the highest quality of chicken genome assembly achieving so far. To provide resources for gene annotation and population genetic analysis, we also sequenced transcriptomes of 10 tissues for each of the four chickens and re-sequenced ~20 individuals for each of the four chicken breeds. Moreover, we corrected many mis-assemblies and assembled micro-chromosomes chr29 and chr34~chr39 for GRCg6a. Our assemblies, sequencing data and the correction of GRCg6a can be valuable resources for studying chicken domestication and evolution.
Satisfaction with social roles and activities across mobility status among persons with spinal cord injury
Authors: Abou Libak , Martinez-Navarro Oriol , Kratz Anna 
Published: November 2023

Abstract
Study design:cross-sectional study
Objective: to examine the differences in satisfaction with social roles and activities among ambulatory individuals, manual wheelchair users, and power wheelchair users with spinal cord injuries (SCIs).
Setting:community setting
Methods:Participants completed surveys of their demographics and clinical data as well as the Spinal Cord Injury – Quality of Life Satisfaction with Social Roles and Activities- Short Form. Participants’ mobility status was categorized into 1) ambulatory individuals, 2) independent manual wheelchair users, and 3) power wheelchair/scooter users. One-way ANOVA and ANCOVA were used, respectively, to examine unadjusted and adjusted differences in satisfaction with social roles and activities across mobility status. Adjustment covariates included age, sex, time since SCI, and SCI injury level.
Results:A total of 129 participants (mean age = 47.4 ± 13.6 years, 73 % male) were included in the analyses. Unadjusted (F = 3.8, p = 0.03) and adjusted models (F = 3.4, p = 0.04) evidenced significant differences in satisfaction with social roles and activities according to mobility status . Pairwise Bonferroni Post-Hoc analysis indicated that manual wheelchair users were more satisfied with their social roles and activities when compared to ambulatory individuals (mean difference = 2.8, p < 0.05).
Conclusions: Due to the current challenges associated with walking recovery after SCIs, clinicians may want to discuss the use of wheelchairs with individuals with limited walking ability when the goal is to improve participation and quality of life. Emphasizing alternative means of mobility may enhance satisfaction with social roles and activities.
The Theoretical Framework on Approximations of Neutrosophic Numbers and its Application
Authors: Kurian Augus , R SUMATHI I 
Published: November 2023

Abstract
Neutrosophic sets are effectual logic represented to understand ambiguous and inconsistent information. They are frequently used to explain many types of partial or incomplete information. Researchers have given much attention to the decision-making theory and its associated methodologies based on uncertain linguistic factors. This article emphasizes the novel neutrosophic number approximations to handle linguistic variables and their application in multiple-attribute decision-making. Different approximation techniques are introduced in neutrosophic sets, but substantial data loss may occur. Hence hexagonal neutrosophic number was proposed to deal with information loss during approximation. Also, the comparisons study with existing techniques is explored to show the effectiveness of proposed approximation. The expected interval criterion was retained although approximation was made to give more desirable features. An MCDM (Multi-Criteria Decision Making) problem is presented to demonstrate efficiency and simplicity with uncertain parameters.
Development of an implementation intervention to integrate the use of health innovations in routine practice: an insulin patient decision aid as an exemplar
Authors: Tong Wen Ting , Lee Yew Kong , Ng Chirk Jenn , Lee Ping Yein 
Published: November 2023

Abstract
Background
Implementation, which is defined as the process of getting evidence-based innovation to be utilised is critical in ensuring innovation is being integrated into real-world practice. The way an implementation intervention (i.e., a bundle of strategies to facilitate implementation) is developed has an impact on the types of strategies chosen, and whether they are relevant to the implementation setting to exert their effects. However, literature pertaining to development of intervention or detailed descriptions of implementation processes are scarce. This study aims to report the development of an implementation intervention to integrate the use of an evidence-based innovation in routine practice, using a Malaysian insulin patient decision aid (PDA) as an exemplar.
Methods
The development of the insulin PDA implementation intervention was divided into two phases, incorporating step 3 and 4 of the Action Cycle in the Knowledge to Action framework. In Phase 1, barriers to the insulin PDA implementation was explored through qualitative interviews using an interview guide developed based on the Theoretical Domains Framework. In Phase 2, prioritisation of the barriers was conducted using the multivoting technique. Next, potential strategies that can address the barriers were identified based on understanding the clinic context, and evidence from literature. Then, the selected strategies were operationalised by providing full descriptions in terms of its actor, action, action target, temporality, dose, implementation outcome affected, before they were embedded into the patient care pathway in the clinic. The implementation intervention was finalised through a clinic stakeholders meeting.
Results
Through a systematic implementation intervention development process, a tailored implementation intervention was developed comprising 11 strategies selected to address 13 barriers to the implementation of the insulin patient decision aid.
Conclusion
This study adds to the dearth body of literature on the implementation intervention development process for PDA implementation, and for implementation of health innovations in general. Future implementers can adapt, or replicate the steps described when developing implementation intervention. The processes described can be compared with other intervention development methods in order to advance the field of implementation of evidence-based innovations.
Efficient and Accurate Estimation of Pharmacokinetic Maps from DCE-MRI using Extended Tofts Model in Frequency Domain
Authors: KRISHNAPPA KRUTTHIKA HIREBASUR , Trivedi Sudhir Kumar 
Published: November 2023

Abstract
Using an intravenous contrast agent, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a commonly used technique for the non-invasive identification and therapeutic monitoring of various disorders. Applying compartmental models pertinent to the pathophysiology of the tissue being studied will enable the quantification of Pharmacokinetic (PK) maps. Integrating time-concentration data into these models in the time domain is the traditional way of determining PK parameters. Although the fitting problem is two-dimensional, this approach suffers from a dimensionality problem, which may be highly computational and lengthy. The Extended Tofts Model in Frequency Domain (ETM-FD) is derived as a convolution-free model from this research's standard comprehensive Tofts Model in Time Domain (ETM-TD). This method decreases the complexity of the curve fitting problem from two to one, minimizes computing time, and allows radiologists to evaluate PK maps within a clinical context. The ETM-FD and ETM-TD procedures were employed to both types of in silico phantoms to verify their resilience, and the Pearson correlation coefficient was calculated to compare with ground truth values. The results indicated that r2 = 1 values were achieved for both ETM-TD and ETM-FD, proving the approach's effectiveness. According to our findings, the ETM-FD took 24–25% less computing time to compute PK maps than the ETM-TD. The computing power of the ETM-FD technique makes it a suitable tool for analyzing three-dimensional and more thorough coverage of the tissue of interest. The ETM-FD technique is especially effective in clinical situations where determining PK maps swiftly and precisely is crucial for patient care. The ETM-FD, which is computationally effective, reliable, and capable of producing precise and real-time PK maps, is a promising method for PK parameter estimation from DCE-MRI data. Our findings demonstrate that this strategy has the potential to assist radiologists in making clinical decisions and enhance patient care.
What makes the effect of protein mutations difficult to predict?
Authors: Redestig Henning , Flier Floris van der , Estell David , Pricelius Sina , Dankmeyer Lydia , Thans Sander van Stigt , Mulder Harm , Otsuka Rei , Goedegebuur Frits , Lammerts Laurens , Staphorst Diego , Dijk Aalt D.J. van , de Ridder Dick 
Published: November 2023

Abstract
Protein engineering increasingly relies on machine learning models to computationally pre-screen variants to identify those that meet the target requirements.
Although machine learning approaches have proven effective, their performance on prospective screening data has room for improvement. Prediction accuracy can vary greatly from one variant to the next. So far, it is unclear what characterizes variants that are associated with large model error. We designed and generated a dataset that can be stratified based on four structural characteristics (buriedness, number of contact residues, proximity to the active site and presence of secondary structure), to answer this question. We found that variants with multiple mutations that are buried, closely connected with other residues or close to the active site, which we call challenging mutations, are harder to model than their counterparts (i.e. exposed, loosely connected, far from the active site). This effect emerges only for variants with multiple challenging mutations, since single mutations at these sites were not harder to model. Our findings indicate that variants with challenging mutations are appropriate benchmarking targets for assessing model quality and that stratified dataset design can be leveraged to highlight areas of improvement for machine learning guided protein engineering.
Migration and transformation of heavy metals in boxwood sawdust biochar derived under different pyrolysis temperatures
Authors: Ma Junli , Qiu Chunsheng , Liu Qikai , Li Fei , Wang Jinkun , Wang Chenchen , Liu Nannan , Wang Shaopo 
Published: November 2023

Abstract

In this study, biochar was prepared from boxwood sawdust under oxygen-limited conditions at 300, 400, 500, 600, 700 and 800 oC, respectively. The effects of different pyrolysis temperatures on the biochar physicochemical properties, migration and transformation of heavy metals (Cu, As, Ni, Cr and Pb) in the derived biochar were investigated. The results showed that the yield decreased, the ash content and pH of derived biochar increased with the increasing temperatures. The specific surface area of biochar was maintained at about 300 m2/g when the pyrolysis temperature was over 600 oC, and the highest total pore volume reached 2.0956 cm3/g− 1 at 800 oC. The concentrations of Cu, As, Cr and Pb increased by 20.35%-202.37% after pyrolysis. Meanwhile, heavy metals in bioavailable faction were partially transformed into relatively stable fractions with the increasing temperature. Furthermore, the potential environmental risks of heavy metals were reduced in the biochars derived at high temperature.
Inhibition of adenoid cystic carcinoma cell proliferation and migration through autophagy inhibition via GLUT1 knockdown
Authors: Liu Kan , Zhu Jin-Long , Bao Yang-Yang , Fang Jin , Zhou Shui-Hong , Fan Jun 
Published: November 2023

Abstract
Background
Multiple studies have demonstrated a strong association between glucose transporter-1 (GLUT1) and the development and recurrence of adenoid cystic carcinoma (ACC). Here, we investigate the effect of GLUT1 knockdown in adenoid cystic carcinoma.
Methods
The effect of hypoxic on progression and autophagy of SACC83 and SACC-LM cell lines was examined by flow cytometry, Transwell assay and fluorescence microscopy. GLUT1 expression was inhibited by using siRNA. ACC tumor-bearing model mice were treated with lentivirus delivering either GLUT1 shRNA or an autophagy inhibitor (chloroquine).
Results
Hypoxic conditions increased progression and autophagy of SACC83 and SACC-LM cell lines. The hypoxic effect was attenuated upon GLUT1 knockdown. In vivo, lentivirus delivering GLUT1 shRNA combined with CQ had the greatest inhibitory effect on tumor volume, weight, Ki67 expression and autophagy in tumor tissues.
Conclusions
Hypoxia can promote ACC progression by upregulating GLUT1 expression. Inhibition of GLUT1 expression and autophagy led to the suppression of ACC cell proliferation both in vitro and in vivo.
Anoikis-related Genes Impact Prognosis and Tumor Immune Microenvironment in Bladder Cancer
Authors: Zhang Tao , Qu shanna , Wang Longsheng 
Published: November 2023

Abstract
Anoikis tolerance is an important biological process of tumor colonization and metastasis outside the primary tumor. In recent years, the role and mechanism of anoikis in tumor metastasis have been continuously clarified in different solid tumors. However, the mechanism of anoikis in bladder cancer and its impact on the immune microenvironment is still unclear. We established a 5-gene anoikis score (EVT7, NGF, SCD, LAMC1, and CASP6) and divided them into high and low-risk groups according to the median score based on the TCGA database. We also found that SCD can promote the proliferation of Bca cells in vitro. Combining anoikis score and clinicopathological characteristics to construct a prognostic nomogram can well predict the prognosis of patients. In the analysis of immune cells, it was found that the infiltration of Treg cells and M2 macrophages increased in the high anoikis group, while the infiltration of CD8 T cells decreased. This study evaluates the role of anoikis score in predicting patient prognosis, immune cell infiltration, and drug response, which may provide potential directions for the treatment of bladder cancer.