bluuebunny/crossref_metadata_2025_split huggingface dataset:
Restoring bladder function using motor and sensory nerve transfers: a cadaveric feasibility study
Authors: Johnston Benjamin R. , Bazarek Stanley , Sten Margaret , McIntyre Brian S. , Fine Noam , De Elise J. B. , McGovern Francis , Lemos Nucelio , Ruggieri Michael R. , Barbe Mary F. , Brown Justin M. 
Published: October 2022

OBJECTIVE
Bladder dysfunction after nerve injury has a variable presentation, and extent of injury determines whether the bladder is spastic or atonic. The authors have proposed a series of 3 nerve transfers for functional innervation of the detrusor muscle and external urethral sphincter, along with sensory innervation to the genital dermatome. These transfers are applicable to only cases with low spinal segment injuries (sacral nerve root function is lost) and largely preserved lumbar function. Transfer of the posterior branch of the obturator nerve to the vesical branch of the pelvic nerve provides a feasible mechanism for patients to initiate detrusor contraction by thigh adduction. External urethra innervation (motor and sensory) may be accomplished by transfer of the vastus medialis nerve to the pudendal nerve. The sensory component of the pudendal nerve to the genitalia may be further enhanced by transfer of the saphenous nerve (sensory) to the pudendal nerve. The main limitations of coapting the nerve donors to their intrapelvic targets are the bifurcation or arborization points of the parent nerve. To ensure that the donor nerves had sufficient length and diameter, the authors sought to measure these parameters.

METHODS
Twenty-six pelvic and anterior thigh regions were dissected in 13 female cadavers. After the graft and donor sites were clearly exposed and the branches identified, the donor nerves were cut at suitable distal sites and then moved into the pelvis for tensionless anastomosis. Diameters were measured with calipers.

RESULTS
The obturator nerve was bifurcated a mean ± SD (range) of 5.5 ± 1.7 (2.0–9.0) cm proximal to the entrance of the obturator foramen. In every cadaver, the authors were able to bring the posterior division of the obturator nerve to the vesical branch of the pelvic nerve (located internal to the ischial spine) in a tensionless manner with an excess obturator nerve length of 2.0 ± 1.2 (0.0–5.0) cm. The distance between the femoral nerve arborization and the anterior superior iliac spine was 9.3 ± 1.8 (6.5–15.0) cm, and the distance from the femoral arborization to the ischial spine was 12.9 ± 1.4 (10.0–16.0) cm. Diameters were similar between donor and recipient nerves.

CONCLUSIONS
The chosen donor nerves were long enough and of sufficient caliber for the proposed nerve transfers and tensionless anastomosis.
Leveraging machine learning to ascertain the implications of preoperative body mass index on surgical outcomes for 282 patients with preoperative obesity and lumbar spondylolisthesis in the Quality Outcomes Database
Authors: Agarwal Nitin , Aabedi Alexander A. , Chan Andrew K. , Letchuman Vijay , Shabani Saman , Bisson Erica F. , Bydon Mohamad , Glassman Steven D. , Foley Kevin T. , Shaffrey Christopher I. , Potts Eric A. , Shaffrey Mark E. , Coric Domagoj , Knightly John J. , Park Paul , Wang Michael Y. , Fu Kai-Ming , Slotkin Jonathan R. , Asher Anthony L. , Virk Michael S. , Haid Regis W. , Chou Dean , Mummaneni Praveen V. 
Published: October 2022

OBJECTIVE
Prior studies have revealed that a body mass index (BMI) ≥ 30 is associated with worse outcomes following surgical intervention in grade 1 lumbar spondylolisthesis. Using a machine learning approach, this study aimed to leverage the prospective Quality Outcomes Database (QOD) to identify a BMI threshold for patients undergoing surgical intervention for grade 1 lumbar spondylolisthesis and thus reliably identify optimal surgical candidates among obese patients.

METHODS
Patients with grade 1 lumbar spondylolisthesis and preoperative BMI ≥ 30 from the prospectively collected QOD lumbar spondylolisthesis module were included in this study. A 12-month composite outcome was generated by performing principal components analysis and k-means clustering on four validated measures of surgical outcomes in patients with spondylolisthesis. Random forests were generated to determine the most important preoperative patient characteristics in predicting the composite outcome. Recursive partitioning was used to extract a BMI threshold associated with optimal outcomes.

RESULTS
The average BMI was 35.7, with 282 (46.4%) of the 608 patients from the QOD data set having a BMI ≥ 30. Principal components analysis revealed that the first principal component accounted for 99.2% of the variance in the four outcome measures. Two clusters were identified corresponding to patients with suboptimal outcomes (severe back pain, increased disability, impaired quality of life, and low satisfaction) and to those with optimal outcomes. Recursive partitioning established a BMI threshold of 37.5 after pruning via cross-validation.

CONCLUSIONS
In this multicenter study, the authors found that a BMI ≤ 37.5 was associated with improved patient outcomes following surgical intervention. These findings may help augment predictive analytics to deliver precision medicine and improve prehabilitation strategies.
ANALISIS PERBANDINGAN HASIL PERHITUNGAN METODE CROSS DAN METODE KEKAKUAN PADA PORTAL EKUIVALEN
Authors: Suna Umar , Nur Kasmat Saleh , Kadarningsih Rahmani 
Published: October 2022

Umar Suna, 2022. Analisis Perbandingan Hasil Perhitungan Metode Cross dan Metode Kekakuan Pada Portal Ekuivalen. Program Studi S1 Teknik Sipil, Jurusan Teknik Sipil, Fakultas Teknik, Universitas Negeri Gorontalo. Pembimbing I, Kasmat Saleh Nur, S.T.,M.T. dan Pembimbing II, Dr. Rahmani Kadarningsih, S.T.,M.T. Metode perhitungan dalam perencanaan struktur sebuah bangunan memiliki konsep yang sama. Sebagai engineer dalam merencanakan struktur bangunan dihadapkan pada permasalahan dalam menentukan metode yang akan digunakan, sehingga menghasilkan perhitungan struktur yang efektif, efisien, dan aman. Analisis perbandingan antara metode Cross dan metode kekakuan dilakukan agar dapat memberikan gambaran perbedaan hasil kedua metode pada struktur simetris dan tidak simetris. Penelitian ini dilakukan pada portal ekuivalen dengan 3 variasi bentang dengan beban yang digunakan adalah beban gravitasi. Analisis dilakukan menggunakan metode kekakuan dan metode Cross pada setiap portal. Hasil dari kedua metode pada masing-masing portal dilihat perbandingannya. Dalam hasil analisis yang dilakukan, pada portal ekuivalen yang simetris metode kekakuan hasilnya lebih besar dari metode Cross pada struktur eksterior dan metode Cross hasilnya lebih besar dari metode kekakuan pada struktur interior. pada portal ekuivalen yang tidak simetris perbandingannya hampir sama dengan portal ekuivalen yang simetris tetapi terdapat perbedaan pada kolom interior yaitu pada elemen CG dan GK dimana pada portal 2 momen metode Cross jauh lebih besar hingga 152,9% pada elemen CG dan 75,1% pada elemen GK dibanding metode kekakuan sedangkan pada portal 3 momen dari metode kekakuan jauh lebih besar hingga 332,76% pada elemen CG dan 247,79% pada elemen GK dibanding metode Cross.
SHAPING AUTONOMOUS LEARNERS IN EFL ONLINE LEARNING
Authors: L. Angelianawati  
Published: October 2022

Abstrak
Artikel ini mengulas fenomena otonomi pembelajar dalam konteks pembelajaran bahasa Inggris sebagai bahasa asing di Indonesia. Otonomi pelajar telah menjadi topik yang signifikan dalam pendidikan bahasa baru-baru ini sebagai hasil dari penekanan pada refleksi dan tanggung jawab pelajar untuk proses belajarnya sendiri. Banyak guru bahasa, di sisi lain, yang berkomitmen pada pemusatan dan otonomi pembelajar, berjuang dalam hal bagaimana memelihara otonomi pembelajar atau setidaknya untuk mewujudkan konsep otonomi pembelajar di kelas bahasa terutama dalam konteks pembelajaran saat ini yang telah bergeser dari pembelajaran tatap muka menjadi pembelajaran online, dan kini mulai berubah menjadi pembelajaran tatap muka dan atau blended learning. Tujuan studi ini adalah untuk mengulas permasalahan dan cara untuk membentuk otonomi pembelajar di kelas bahasa Inggris. Kesimpulannya, membentuk pembelajar otonom dalam lingkungan pembelajaran bahasa Inggris sebagai bahasa asing harus mempertimbangkan prinsip-prinsip pembelajaran otonom. Pendampingan guru tidak boleh absen selama proses pembelajaran bahasa melainkan memfasilitasi proses tersebut, walaupun inti dari belajar otonom adalah menuntut peserta didik untuk belajar secara mandiri.
Kata kunci: pembelajar otonom, Bahasa Inggris sebagai bahasa asing, pembelajaran online

Abstract
The paper focuses on learner autonomy in the English as a Foreign Language (EFL) learning context in Indonesia. Learner autonomy has become an essential topic in recent language education due to an emphasis on learner reflection and taking responsibility for one’s learning processes. Many language teachers who are committed to learner-centeredness and autonomy struggle with how to nurture student autonomy or at the very least to promote the concept of learner autonomy in the language classroom, especially in the current context of learning which has shifted from face-to-face to online learning, and now starting to change into face-to-face and or blended learning. The study’s objective is to ascertain the ways and issues shaping learner autonomy in EFL online classrooms. In conclusion, shaping autonomous learners in an EFL environment should consider the principles of autonomous learning. Teachers’ assistance should not be absent during the language learning process but facilitate the process, even though the essence of autonomous learning is to require learners to learn independently.

Keywords: autonomous learner, EFL, online learning
Prediction Model Risk-of-Bias Assessment Tool for coronary artery lesions in Kawasaki disease
Authors: Huang Hongbiao , Dong Jinfeng , Wang Shuhui , Shen Yueping , Zheng Yiming , Jiang Jiaqi , Zeng Bihe , Li Xuan , Yang Fang , Ma Shurong , He Ying , Lin Fan , Chen Chunqiang , Chen Qiaobin , Lv Haitao 
Published: October 2022

ObjectiveTo review and critically appraise articles on prediction models for coronary artery lesions (CALs) in Kawasaki disease included in PubMed, Embase, and Web of Science databases from January 1, 1980, to December 23, 2021.Materials and methodsStudy screening, data extraction, and quality assessment were performed by two independent reviewers, with a statistics expert resolving discrepancies. Articles that developed or validated a prediction model for CALs in Kawasaki disease were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies checklist was used to extract data from different articles, and Prediction Model Risk-of-Bias Assessment Tool (PROBAST) was used to assess the bias risk in different prediction models. We screened 19 studies from a pool of 881 articles.ResultsThe studies included 73–5,151 patients. In most studies, univariable logistic regression was used to develop prediction models. In two studies, external data were used to validate the developing model. The most commonly included predictors were C-reactive protein (CRP) level, male sex, and fever duration. All studies had a high bias risk, mostly because of small sample size, improper handling of missing data, and inappropriate descriptions of model performance and the evaluation model.ConclusionThe prediction models were suitable for the subjects included in the studies, but were poorly effective in other populations. The phenomenon may partly be due to the bias risk in prediction models. Future models should address these problems and PROBAST should be used to guide study design.
Lactate level and lactate clearance for acute kidney injury prediction among patients admitted with ST-segment elevation myocardial infarction: A retrospective cohort study
Authors: Zhou Xi , He Yanlei , Hu Long , Zhu Qianli , Lin Qingcheng , Hong Xia , Huang Weijian , Shan Peiren , Liang Dongjie 
Published: October 2022

BackgroundHyperlactatemia is a prognostic marker among patients with ST-segment elevation acute myocardial infarction (STEMI). However, the predictive value of lactate and the dynamic change associated with acute kidney injury (AKI) among patients with STEMI, remain poorly understood. We aimed to compare single lactate values at admission (Lacadm) and 12 h after admission (Lac12h) with lactate clearance (LC) 12 h after admission for AKI prediction in patients with STEMI.MethodsA total of 1,784 patients with STEMI were included. The study endpoint was AKI occurrence during hospitalization. The predictive value of lactate levels measured at admission and 12 h after admission and LC for AKI prediction was determined using multivariate logistic regression analyses and compared with receiver operator characteristic (ROC) curve analysis.ResultsOverall, AKI was observed in 353 (19.8%) patients. In multivariate logistic regression analyses, Lacadm ≥ 4.3 mmol/L (OR: 1.53; 95% CI: 1.01–2.30), Lac12h ≥ 2.1 mmol/L (OR: 1.81; 95% CI: 1.36–2.42), and LC ≥ −7.5% (OR: 0.40; 95% CI: 0.30–0.53) were the independent predictive factors for AKI after adjusting for confounders. ROC curve analysis results revealed that Lac12h (0.639; 95% CI: 0.616–0.661) exhibited a significantly higher area under the curve (AUC) than those of Lacadm (0.551; 95% CI: 0.527–0.574) and LC (0.593; 95% CI: 0.570–0.616) in the prediction of AKI. LC (△AUC = 0.037, p &lt; 0.001) and Lac12h (△AUC = 0.017, p = 0.029) enhanced the discrimination capacity of Mehran Risk Score (MRS) for AKI among patients undergoing emergency coronary angiography.ConclusionLac12h is more effective for AKI prediction among patients with STEMI than Lacadm and LC. Furthermore, Lac12h and LC enhance the prediction capacity of MRS for AKI among patients after emergency coronary angiography.
Curricular integration of digital technologies in teaching processes
Authors: Fernández-Sánchez María Rosa , Garrido-Arroyo María del Carmen , Porras-Masero Isabel 
Published: October 2022

The integration of digital technologies in the classroom is a complex and multidimensional process with different dynamics including, among others, those related to: the digital culture of the center, the competency of teachers and students, the support of families and innovation within educational programs. This paper presents a systematic literature review (SLR) to analyze how the curricular integration of educational technology in classroom practice has been developed at non-university levels in recent years. The PRISMA 2020 standards have been applied. For the selection of articles, the ERIC database was used, taking as a reference, key concepts from its Thesaurus, related to the objective of the research, performing a temporal search of scientific articles from 2018 up to the present day. After screening according to the inclusion criteria established by consensus among researchers, a total of 88 articles were obtained (n = 88). The main results point to several variables that should be strengthened to promote the integration of digital technologies in the classroom, among which teacher training stands out as a determining factor, with special emphasis on initial training. This opens a debate about the training that future teachers receive in relation to the integration of digital technologies in the teaching process.Systematic review registration[https://doi.org/10.5281/zenodo.6909261].
A systems approach to modelling phosphorus pollution risk in Scottish rivers using a spatial Bayesian Belief Network helps targeting effective mitigation measures
Authors: Glendell Miriam , Gagkas Zisis , Stutter Marc , Richards Samia , Lilly Allan , Vinten Andy , Coull Malcolm 
Published: October 2022

Water quality remains a main reason for the failure of waterbodies to reach Good Ecological Status (GES) under the European Union Water Framework Directive (WFD), with phosphorus (P) pollution being a major cause of water quality failures. Reducing P pollution risk in agricultural catchments is challenging due to the complexity of biophysical drivers along the source-mobilisation-delivery-impact continuum. While there is a need for place-specific interventions, the evidence supporting the likely effectiveness of mitigation measures and their spatial targeting is uncertain. We developed a decision-support tool using a Bayesian Belief Network that facilitates system-level thinking about P pollution and brings together academic and stakeholder communities to co-construct a model appropriate to the region of interest. The expert-based causal model simulates the probability of soluble reactive phosphorus (SRP) concentration falling into the WFD high/good or moderate/poor status classifications along with the effectiveness of three mitigation measures including buffer strips, fertiliser input reduction and septic tank management. In addition, critical source areas of pollution are simulated on 100 × 100 m raster grids for seven catchments (12–134 km2) representative of the hydroclimatic and land use intensity gradients in Scotland. Sensitivity analysis revealed the importance of fertiliser inputs, soil Morgan P, eroded SRP delivery rate, presence/absence of artificial drainage and soil erosion for SRP losses from diffuse sources, while the presence/absence of septic tanks, farmyards and the design size of sewage treatment works were influential variables related to point sources. Model validation confirmed plausible model performance as a “fit for purpose” decision support tool. When compared to observed water quality data, the expert-based causal model simulated a plausible probability of GES, with some differences between study catchments. Reducing fertiliser inputs below optimal agronomic levels increased the probability of GES by 5%, while management of septic tanks increased the probability of GES by 8%. Conversely, implementation of riparian buffers did not have an observable effect on the probability of GES at the catchment outlet. The main benefit of the approach was the ability to integrate diverse, and often sparse, information; account for uncertainty and easily integrate new data and knowledge.
Insight into selective breeding for robustness based on field survival records: New genetic evaluation of survival traits in pacific white shrimp (Penaeus vannamei) breeding line
Authors: Ren Shengjie , Mather Peter B. , Tang Binguo , Hurwood David A. 
Published: October 2022

Survival can be considered a relatively ‘old’ trait in animal breeding, yet commonly neglected in aquaculture breeding because of the simple binary records and generally low heritability estimates. Developing routine genetic evaluation systems for survival traits however, will be important for breeding robust strains based on valuable field survival data. In the current study, linear multivariate animal model (LMA) was used for the genetic analysis of survival records from 2-year classes (BL2019 and BL2020) of pacific white shrimp (Penaeus vannamei) breeding lines with data collection of 52, 248 individuals from 481 fullsib families. During grow-out test period, 10 days intervals of survival data were considered as separate traits. Two survival definitions, binary survivability (S) and continuous survival in days (SL), were used for the genetic analysis of survival records to investigate; 1) whether adding more survival time information could improve estimation of genetic parameters; 2) the trajectory of survival heritability across time, and 3) patterns of genetic correlations of survival traits across time. Levels of heritability estimates for both S and SL were low (0.005–0.076), while heritability for survival day number was found to be similar with that of binary records at each observation time and were highly genetically correlated (rg &gt; 0.8). Heritability estimates of body weight (BW) for BL2019 and BL2020 were 0.486 and 0.373, respectively. Trajectories of survival heritability showed a gradual increase across the grow-out test period but slowed or reached a plateau during the later grow-out test period. Genetic correlations among survival traits in the grow-out tests were moderate to high, and the closer the times were between estimates, the higher were their genetic correlations. In contrast, genetic correlations between both survival traits and body weight were low but positive. Here we provide the first report on the trajectory of heritability estimates for survival traits across grow-out stage in aquaculture. Results will be useful for developing robust improved pacific white shrimp culture strains in selective breeding programs based on field survival data.
Genetic variation in 9p21, dietary patterns, and insulin sensitivity
Authors: Mahdavi Sara , Jenkins David J.A. , El-Sohemy Ahmed 
Published: October 2022

Background: Single nucleotide polymorphisms in the 9p21 region have been associated with cardiovascular disease and to a lesser extent insulin sensitivity. Previous studies have focused on older populations, and few have examined the impact of gene-diet interactions. The objective of this study was to determine the interaction between dietary patterns and 9p21 genotypes on insulin sensitivity in young adults from different ethnic groups.Methods: Subjects were 1,333 participants aged 20–29 years from the Toronto Nutrigenomics and Health Study (405 men and 928 women; 776 Caucasians and 557 East Asians). Fasting blood was collected to measure glucose, insulin, c-reactive protein and serum lipids, as well as to isolate DNA for genotyping subjects for five SNPs in 9p21 (rs10757274, rs10757278, rs1333049, rs2383206, and rs4977574). Insulin resistance (HOMA-IR) and beta-cell dysfunction (HOMA-Beta) were calculated from fasting insulin and glucose concentrations. The Toronto-modified Harvard 196-item semi-quantitative food frequency questionnaire was used to measure dietary intake over 1 month and principal components analysis was used to identify three dietary patterns (Prudent, Western and Eastern). ANOVA and ANCOVA were used to examine gene-diet interactions on markers of insulin sensitivity.Results: Significant gene-diet interactions on insulin sensitivity using HOMA-IR were observed with all five SNPs, which remained significant after adjusting for covariates (p &lt; 0.05). Among those who were homozygous for the 9p21 risk allele (rs1333049), fasting insulin was 40% higher in those who were consuming a low-prudent diet compared to those consuming a high-prudent diet (p &lt; 0.05). No differences were observed between those following a low versus high-prudent diet among those who did not carry a 9p21 risk allele. Similar findings were observed with HOMA-Beta, however, the association was only significant for rs10757274 (p = 0.04).Conclusion: Our findings suggest that a prudent dietary pattern may protect against the effects of 9p21 risk genotypes on insulin sensitivity.
Pan-cancer analysis reveals the relationship between RCSD1 immune infiltration and clinical prognosis in human tumors
Authors: Qiao Han , Yin Hong , Feng Yan , Tang Huaping 
Published: October 2022

BackgroundRCSD1 is a cytoskeletal regulator that has been confirmed to undergo genetic mutations in hematological tumors, but the mechanisms of RCSD1 in pan-cancer and its impact on patient prognosis have not been studied.MethodsUsing TCGA, GEPIA, UALCAN, Kaplan-Meier plotters, Linkedomics, String, cBioPortal, TISIDB, TCIA and TIMER database methods, we investigated the expression of RCSD1 in human tumors and its relationship to clinical prognosis, functional analysis of co-expression networks, mutation status, and immune infiltration in cancers, especially lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC).ResultsThe expression of RCSD1 is low in most tumors compared with normal tissues, and its high expression is associated with good patient survival. The RCSD1 co-expression network is mainly involved in the regulation of immune response. In human cancer, RCSD1 plays an important role in the tumor microenvironment (TME) and is significantly associated with the expression of immune infiltrating cells (TIL) in lung cancer.ConclusionsAs a prognostic biomarker of generalized cancer, RCSD1 is associated with immune infiltration.