bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison and clinical analysis of antibiotics and endoscopic injection for vesicoureteral reflux in children
Authors: Yang Zhen , Dai Kanglin , Sun Xianglun , Tian Chen , Yuan Lihua , Liu Jingsi , Li Ban , Chung Patrick Ho Yu , Wong Kenneth Kak Yuen 
Published: July 2024

Abstract
Purpose
This study evaluated the outcome of pediatric patients with primary vesicoureteral reflux (VUR) and compared of the treatments between continued antibiotic prophylaxis (CAP) and endoscopic injection.

Methods
The clinical data of children diagnosed with primary vesicoureteral reflux from March 2015 to June 2020 who were treated with antibiotics or endoscopic injection were reviewed. Antibiotic was the first-chosen treatment after the diagnosis of VUR in children. Endoscopic treatment consisted of injection of dextran hyaluronic acid copolymer (DX/HA) into the ureteral opening under direct cystoscopy guidance.

Results
Fifty-two children (35 males, 17 females) were included in this study, and for a total 90 ureters (14 unilateral, 38 bilateral) were diagnosed with vesicoureteral reflux by Voiding cystourethrography (VCUG). Twenty-two children were treated with antibiotics (8 unilateral, 14 bilateral), for a total of 36 ureters; thirty children were treated by endoscopic injection (6 unilateral, 24 bilateral), for a total of 54 ureters. The injection surgery took 36 ± 17 min including duration of general anesthesia and circumcision and the hospital stay was 2.3 ± 1.3 days. All male patients underwent circumcision simultaneously. There were no drug and allergic reactions in the antibiotic group, and no postoperative complications occurred in the injection group. With 23 months (13–63 months) of mean follow-up, the resolution rate, defined as radiological disappearance of VUR, was 36.1% (13/36) in the antibiotic group and 57.4% (31/54) in the injection group (P = 0.048).Two cases of bilateral reflux in the injection group required a second injection before resolution could be achieved. Thus, the overall success rate of injection was 64.8% (35/54). 9 cases (9/18, 50%) in the antibiotic group had renal scars on DMSA scans, while this was seen in 20 cases (20/23, 86.9%) in the injection group. There was a statistically significant difference between the two groups (P = 0.010).The positive rates of ultrasound between the antibiotic group and the injection group were 45.5% (10/22) and 80.0% (24/30), respectively. There was a statistically significant difference between the two groups in positive rates of ultrasound (P = 0.010).

Conclusions
Endoscopic injection is easy to operate with short surgical time and hospital stay, so it is a safe and feasible treatment. For the treatment of primary vesicoureteral reflux in children, the radiological resolution rate of endoscopic injection is better than antibiotic therapy. In this study, the presence of kidney scars on DMSA and the dilated of the collecting system on ultrasound are the indications for endoscopic injection.
Protective defunctioning stoma in bowel segmental resection at the time of total hysterectomy for endometriosis: when less is more
Authors: Dolci Carolina , Kerbage Yohan , Ruffolo Alessandro Ferdinando , Candiani Massimo , Gandon Anne , Rubod Chrystèle 
Published: July 2024

Abstract
Purpose
To compare postoperative complications in women undergoing total hysterectomy with segmental resection (TH-SR) for intestinal endometriosis with or without protective defunctioning stoma (PDS) confection.

Methods
Retrospective cohort study conducted at the Gynecologic department of University Hospital of Lille (France) from January 2008 to January 2022 in patients undergone TH-SR for bowel endometriosis.

Results
100 women were considered for the analysis. PDS were performed in 56 women. The rate of rectal resections was significantly higher in the PDS group (p = 0.03). The mean operative time, AAGL scores and length of hospital stay were significantly higher in the PDS group (p = 0.002). The rate of grade III complication according to Clavien-Dindo classification was higher in the PDS group (p = 0.03). Among digestive complications, one case of anastomosis leakage (1.8%) and one case of recto-vaginal fistula (2.3%) was recorded in the non-PDS group, 4 cases of anastomosis stenosis were recorded in the PDS group (7.1%). Persisting bladder atony requiring self-catheterization over one month was the most common disturb (4.6% in the non-PDS group and 7.1% in the PDS group, p = 0.58). The distance of digestive lesion from anal margin was the only risk factor for digestive complications, persistent bladder atony, Clavien-Dindo IIIA and IIIB complications at the multivariate analysis (p = 0.04 and p = 0.06 respectively).

Conclusion
No statistically significant differences were found in the rate of digestive complications in case of total hysterectomy and concomitant segmental resection when performing or not preventing stoma.
Cellobionate production from sodium hydroxide pretreated wheat straw by engineered Neurospora crassa HL10
Authors: Wang Jiajie , Kasuga Takao , Fan Zhiliang 
Published: July 2024

AbstractThis study investigated cellobionate production from a lignocellulosic substrate using Neurospora crassa HL10. Utilizing NaOH-pretreated wheat straw as the substrate obviated the need for an exogenous redox mediator addition, as lignin contained in the pretreated wheat served as a natural mediator. The low laccase production by N. crassa HL10 on pretreated wheat straw caused slow cellobionate production, and exogenous laccase addition accelerated the process. Cycloheximide induced substantial laccase production in N. crassa HL10, enabling the strain to yield approximately 57 mM cellobionate from pretreated wheat straw (equivalent to 20 g/L cellulose), shortening the conversion time from 8 to 6 days. About 92% of the cellulose contained in the pretreated wheat straw is converted to cellobionate. In contrast to existing methods requiring pure cellobiose or cellulase enzymes, this process efficiently converts a low-cost feedstock into cellobionate at a high yield without enzyme or redox mediator supplementation.
A discontinuous Galerkin/cohesive zone model approach for the computational modeling of fracture in geometrically exact slender beams
Authors: Kota Sai Kubair , Kumar Siddhant , Giovanardi Bianca 
Published: July 2024

Abstract
Slender beams are often employed as constituents in engineering materials and structures. Prior experiments on lattices of slender beams have highlighted their complex failure response, where the interplay between buckling and fracture plays a critical role. In this paper, we introduce a novel computational approach for modeling fracture in slender beams subjected to large deformations. We adopt a state-of-the-art geometrically exact Kirchhoff beam formulation to describe the finite deformations of beams in three-dimensions. We develop a discontinuous Galerkin finite element discretization of the beam governing equations, incorporating discontinuities in the position and tangent degrees of freedom at the inter-element boundaries of the finite elements. Before fracture initiation, we enforce compatibility of nodal positions and tangents weakly, via the exchange of variationally-consistent forces and moments at the interfaces between adjacent elements. At the onset of fracture, these forces and moments transition to cohesive laws modeling interface failure. We conduct a series of numerical tests to verify our computational framework against a set of benchmarks and we demonstrate its ability to capture the tensile and bending fracture modes in beams exhibiting large deformations. Finally, we present the validation of our framework against fracture experiments of dry spaghetti rods subjected to sudden relaxation of curvature.
External validation of a clinical mathematical model estimating post-operative urine output following cardiac surgery in children
Authors: Baloglu Orkun , Marino Bradley S. , Latifi Samir Q. , Morca Ayse , Munther Daniel S. , Ryan Shawn D. 
Published: July 2024

Abstract
Background
This study aims to externally validate a clinical mathematical model designed to predict urine output (UOP) during the initial post-operative period in pediatric patients who underwent cardiac surgery with cardiopulmonary bypass (CPB).

Methods
Children aged 0–18 years admitted to the pediatric cardiac intensive care unit at Cleveland Clinic Children’s from April 2018 to April 2023, who underwent cardiac surgery with CPB were included. Patients were excluded if they had pre-operative kidney failure requiring kidney replacement therapy (KRT), re-operation or extracorporeal membrane oxygenation or KRT requirement within the first 32 post-operative hours or had indwelling urinary catheter for fewer than the initial 32 post-operative hours, or had vasoactive-inotrope score of 0, or those with missing data in the electronic health records.

Results
A total of 213 encounters were analyzed; median age (days): 172 (IQR 25–75th%: 51–1655), weight (kg): 6.1 (IQR 25–75th%: 3.8–15.5), median UOP ml/kg/hr in the first 32 post-operative hours: 2.59 (IQR 25–75th%: 1.93–3.26) and post-operative 30-day mortality: 1, (0.4%). The mathematical model achieved the following metrics in the entire dataset: mean absolute error (95th% Confidence Interval (CI)): 0.70 (0.67–0.73), median absolute error (95th% CI): 0.54 (0.52–0.56), mean squared error (95th% CI): 0.97 (0.89–1.05), root mean squared error (95th% CI): 0.99 (0.95–1.03) and R2 Score (95th% CI): 0.29 (0.24–0.34).

Conclusions
This study provides encouraging external validation results of a mathematical model predicting post-operative UOP in pediatric cardiac surgery patients. Further multicenter studies must explore its broader applicability.

Graphical abstract
Optimization of the different controller parameters via OBL approaches based artificial ecosystem optimization involving fitness distance balance guiding mechanism for efficient motor speed regulation of DC motor
Authors: Isen Evren , Duman Serhat 
Published: July 2024

AbstractThis study proposes a new optimization approach, which is called as artificial ecosystem optimization algorithm with fitness-distance balance guiding mechanism by using opposite based learning methods (FDBAEO_OBLs) for the speed regulation of direct current (DC) motor. The performance of the proposed FDBAEO_OBL algorithm is tested in two different experimental studies. In the first experimental study, the proposed approach is tested in the CEC2020 benchmark test functions and the FDBAEO algorithm, which included the best OBL approach, is determined using non-parametric Wilcoxon and Friedman statistical analysis methods. Second, the parameters of proportional integral derivative (PID), tilt integral derivative (TID), proportional integral derivative with filter (PIDF), tilt integral derivative with filter (TIDF), fractional-order proportional integral derivative (FOPID), fractional-order proportional integral derivative with filter (FOPIDF), proportional integral derivative with fractional-order filter (PIDFF) and fractional-order proportional integral derivative with fractional-order filter (FOPIDFF) controller structures to be used in DC motor closed loop speed control are determined with FDBAEO_OBL, and the performances of the controllers are investigated. Integral absolute error (IAE), integral time absolute error (ITAE), integral time squared error (ITSE) and integral squared error (ISE) performance indices are used as the objective function of the operation process in which the control parameters are determined. According to the comparative step response results of the controller structures, the four best controller structures for DC motor speed regulation are determined. The performances of these controllers are examined under different simulation conditions and according to the results obtained, it is seen that the best controller structure is FOPIDFF. The FDBAEO_OBL algorithm, which is used in both benchmark test functions and DC motor speed regulation, shows an effective, durable and superior performance in finding the optimal solution values during the optimization.
Subnational assessment of legal and illegal deforestation in the Colombian Amazon: consequences for zero deforestation commitments
Authors: Katz-Asprilla David , Piketty Marie-Gabrielle , Briceño Castillo Guido , Blanc Lilian , Camacho Peña Jhon , Karsenty Alain 
Published: July 2024

AbstractDeforestation has been at the heart of the transformation of the Amazon. Global concerns over deforestation and its impact on climate change have resulted in the adoption of a number of initiatives in the framework of zero deforestation. However, undifferentiated application of the concepts of zero net, gross, and illegal deforestation has revealed a lack of understanding of their scope and of challenges to their implementation. Zero legal and illegal deforestation is, in particular, a controversial subject from the point of view of regulation and sovereignty but an essential aspect from the perspective of public policy design. In Colombia, zero deforestation commitments make no mention of legal deforestation. Papers that analyze deforestation and official data sources fail to incorporate the legal dimension in their analysis. This article addresses this gap by identifying areas where deforestation is legal and where it is illegal in one deforestation hotspot of the Colombian Amazon, the administrative department of Guaviare. Our results show that deforestation has increased since 2013, mainly occurs in illegal zones, and that Guaviare department, 85% of which is covered by forest, has very little legal deforestation potential. Our findings reveal that assessing the legality and illegality of deforestation is more complex than often assumed and must become a priority, especially in forested countries where regulation on forest and land management is shared between different level of governments and institutions.
A global-scale applicable framework of landslide dam formation susceptibility
Authors: Wu Hang , Trigg Mark A. , Murphy William , Fuentes Raul , Martino Salvatore , Esposito Carlo , Marmoni Gian Marco , Scarascia Mugnozza Gabriele 
Published: July 2024

AbstractThe formation and failure of landslide dams is an important and understudied, multi-hazard topic. A framework of landslide dam formation susceptibility evaluation was designed for large-scale studies to avoid the traditional dependence on landslide volume calculations based on empirical relationships, which requires comprehensive local inventories of landslides and landslide dams. The framework combines logistic regression landslide susceptibility models and global fluvial datasets and was tested in Italy and Japan based on landslide and landslide dam inventories collected globally. The final landslide dam formation susceptibility index identifies which river reach is most prone to landslide dam formation, based on the river width and the landslide susceptibility in the adjacent delineated slope drainage areas. The logistic regression models showed good performances with area under the receiver operating characteristics curve values of 0.89 in Italy and 0.74 in Japan. The index effectively identifies the probability of landslide dam formation for specific river reaches, as demonstrated by the higher index values for river reaches with past landslide dam records. The framework is designed to be applied globally or for other large-scale study regions, especially for less studied data-scarce regions. It also provides a preliminary evaluation result for smaller catchments and has the potential to be applied at a more detailed scale with local datasets.
Valuing farmers in transitions to more sustainable food systems: A systematic literature review of local food producers’ experiences and contributions in short food supply chains
Authors: O’Connor Grace , Reis Kimberley , Desha Cheryl , Burkett Ingrid 
Published: July 2024

Abstract
Industrial food systems are being increasingly challenged by alternative food movements globally that advocate for better environmental, social, economic, and political outcomes as part of societal transitions to more sustainable food systems. At the heart of these transitions are local food producers operating within shorter food supply chains, their experiences, and their knowledge of ecologically sustainable food production, biodiversity and climate, and their communities. Despite their important contributions to the resilience of food systems, society and ecology, local food producers' experiences and knowledges are often undervalued, ignored, or inaccurately reflected. This systematic literature review identifies the values, motivations, and concerns as key elements of the experiences of local food producers within short food supply chains across literature globally, their contributions to social-ecological resilience, and discusses how these experiences and contributions can influence transitions to sustainable food systems. Eighty-five research articles were distilled from 5 databases and thematic analysis revealed four major themes: (1) concerns for exploitative operating contexts and hidden labor expectations within short food supple chains, (2) local food producers’ value and need for social networks, (3) their environmental values, connections, and concerns, and (4) how they can value and be motivated by alternative models but are concerned by their economic viability. This review also observed an important paradox within local food producers’ experiences showing that whilst farming is a demanding profession and lifestyle, they can feel a deep fulfilment when they live and work in harmony with their values and motivations. This systematic review is significant for how it values and synthesizes the experiences of local food producers and the diverse personal, social, ecological, and economic contributions that local food production has for social-ecological resilience of communities. By better communicating these experiences and contributions to decision-makers, policy makers and planners, this research can have major implications for enabling societal transitions that are fairer and more just in ways that empower, protect, and privilege local food producers’ voices.
To Improve Motivational Barriers to Retention in High Resolution Anoscopy, Patients and Providers Recommend Social and Environmental Changes: A Sequential Explanatory Mixed-Methods Pilot Study in a Federally Qualified Health Center
Authors: Kutner Bryan A. , Hou Baichun , Giguere Rebecca , DeWitt Will , Tan Mei , Rael Christine Tagliaferri , Radix Asa , Sandfort Theodorus G. M. 
Published: July 2024

AbstractLoss to follow-up (LTFU) in high-resolution anoscopy (HRA) programs jeopardizes the procedure’s potential to help prevent anal cancer. We explored quality improvement factors to understand how to address this LTFU. Using the transtheoretical COM-B Model (Capability, Opportunity, Motivation, and Behavior) and a sequential explanatory mixed-methods design, we surveyed and interviewed 13 patients who remained engaged in HIV care but who delayed their HRA monitoring or treatment visits in the same community clinic, and 6 HRA clinicians and medical assistants. Analyses involved descriptive statistics and rapid qualitative analysis. Patients were racially, ethnically, and economically representative of the LTFU population, and were generally experienced with HRA (Mean HRA visits = 4.6, SD = 2.8, mdn = 3). Providers were experienced clinicians and medical assistants (Mean years providing HRA = 6.0, SD = 2.2). Analyses revealed two primary, related barriers: (A) motivational barriers such as physical pain, discomfort, embarrassment, and anxiety; which were largely borne from (B) opportunity barriers such as difficulties with scheduling, inconsistent after-care (particularly for pain and discomfort), anxiety-inducing exam rooms and equipment, and internalized and anticipated stigma. Capability barriers, such as limited health literacy about HRA, were less common and, like motivational barriers, linked to opportunity barriers. Participants recommended potential facilitators, including easier scheduling, standardization of pain management and after-care services, and examination room modifications to reduce anxiety. To retain HRA patients in community settings, interventions should address social and physical opportunity barriers that strongly determine motivational and capability barriers. Improving convenience, standardizing pain management, and introducing stigma interventions specific to HRA, could alleviate both motivational and capability barriers.
Positivity and convexity in incomplete cooperative games
Authors: Černý Martin , Bok Jan , Hartman David , Hladík Milan 
Published: July 2024

AbstractIncomplete cooperative games generalize the classical model of cooperative games by omitting the values of some of the coalitions. This allows for incorporating uncertainty into the model and studying the underlying games and possible payoff distributions based only on the partial information. In this paper, we conduct a systematic investigation of incomplete games, focusing on two important classes: positive and convex games. Regarding positivity, we generalize previous results from a special class of minimal incomplete games to a general setting. We characterize the non-extendability to a positive game by the existence of a certificate and provide a description of the set of positive extensions using its extreme games. These results also enable the construction of explicit formulas for several classes of incomplete games with special structures. The second part deals with convexity. We begin with the case of non-negative, minimal incomplete games. We establish the connection between incomplete games and the problem of completing partial functions and, consequently, provide a characterization of extendability and a full description of the set of symmetric convex extensions. This set serves as an approximation of the set of convex extensions.
Rethinking AI code generation: a one-shot correction approach based on user feedback
Authors: Le Kim Tuyen , Andrzejak Artur 
Published: July 2024

AbstractCode generation has become an integral feature of modern IDEs, gathering significant attention. Notable approaches like GitHub Copilot and TabNine have been proposed to tackle this task. However, these tools may shift code writing tasks towards code reviewing, which involves modification from users. Despite the advantages of user feedback, their responses remain transient and lack persistence across interaction sessions. This is attributed to the inherent characteristics of generative AI models, which require explicit re-training for new data integration. Additionally, the non-deterministic and unpredictable nature of AI-powered models limits thorough examination of their unforeseen behaviors. We propose a methodology named One-shot Correction to mitigate these issues in natural language to code translation models with no additional re-training. We utilize decomposition techniques to break down code translation into sub-problems. The final code is constructed using code snippets of each query chunk, extracted from user feedback or selectively generated from a generative model. Our evaluation indicates comparable or improved performance compared to other models. Moreover, the methodology offers straightforward and interpretable approaches, which enable in-depth examination of unexpected results and facilitate insights for potential enhancements. We also illustrate that user feedback can substantially improve code translation models without re-training. Ultimately, we develop a preliminary GUI application to demonstrate the utility of our methodology in simplifying customization and assessment of suggested code for users.