bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of endoscopic ultrasound‐guided transmural drainage for postoperative pancreatic fistula after pancreatic surgery
Authors: Miyamoto Ryoichi , Takahashi Amane , Ogura Toshiro , Kitamura Kei , Ishida Hiroyuki , Matsudaira Shinichi , Suzuki Yuko , Shimizu Satoshi , Kawashima Yoshiyuki 
Published: July 2023

AbstractObjectivesPostoperative pancreatic fistula (POPF) is a major cause of morbidity after pancreatic surgery. Recently, endoscopic ultrasound‐guided transmural drainage (EUS‐TD) has been widely used to manage pancreatic pseudocysts after acute pancreatitis. Several studies have reported the effectiveness of EUS‐TD for POPF, although there is insufficient evidence regarding the performance of EUS‐TD for POPF. We herein report on the safety, efficacy, and appropriate timing of EUS‐TD for POPF compared with conventional percutaneous intervention.MethodsEight patients who underwent EUS‐TD of POPF and 36 patients who underwent percutaneous intervention were retrospectively enrolled. Clinical outcomes, including technical success, clinical success, and complications, were analyzed among the two groups.ResultsIn terms of clinical outcomes between the EUS‐TD and percutaneous intervention groups, significant differences were observed in the number of interventions (1 vs. 4, p = 0.011), period of clinical success (6 days vs. 11 days, p = 0.001), incidence of complications (0 vs. 3, p = 0.021), postoperative hospital stays (27 days vs. 34 days, p = 0.027), and recurrence of POPF (0 vs. 5, p = 0.001).ConclusionsEUS‐TD for POPF appears to be safe and technically feasible. This approach should be considered a therapeutic option in patients with POPF after pancreatic surgery.
Cardiometabolic effects of SGLT2 inhibitors on polycystic ovary syndrome
Authors: Lempesis Ioannis G. , Apple Samuel J. , Duarte Gustavo , Palaiodimos Leonidas , Kalaitzopoulos Dimitrios Rafail , Dalamaga Maria , Kokkinidis Damianos G. 
Published: July 2023

AbstractPolycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting many women of reproductive age. Although its physiology is poorly understood, hyperandrogenemia and insulin resistance play a pivotal role in this complex syndrome, predisposing patients to a variety of cardiovascular and metabolic modalities. Current therapeutic options, including lifestyle modifications and medications, often do not satisfactorily improve clinical outcomes. SGLT2 inhibitors (SGLT‐2i) are a novel option which can potentially improve many hormonal and metabolic parameters for patients with PCOS, though the net cardiovascular effects remain under investigation in this population of patients with PCOS. Overall, the use of SGLT‐2i may be associated with beneficial somatometric, metabolic and hormonal outcomes of PCOS. To date, all available studies have recorded body mass index, waist and hip circumference, and fat mass reductions, improved insulin and androgen levels, and reduced blood pressure. The aim of the present review is to summarise PCOS‐related manifestations and mechanisms leading to cardiovascular disease, to explore the cardiometabolic impact of SGLT2i on PCOS, and to critically analyse the cardiometabolic and hormonal outcomes of the recent studies on the use of SGLT2i in women with PCOS.
Electrochemical Asymmetric Diacetoxylation of Styrenes Mediated by Chiral Iodoarene Catalyst**
Authors: Wojciechowska Natalia , Bienkowski Krzysztof , Solarska Renata , Kalek Marcin 
Published: July 2023

AbstractOrganocatalysis with chiral iodoarenes has emerged as a powerful approach for performing enantioselective transformations. However, it suffers from the need to utilize stoichiometric amounts of peroxy acids or similar high energy oxidants. Electrosynthesis enables eliminating stoichiometric redox reagents by replacing them with electric stimuli. In this context, an electrochemically‐promoted variant of the chiral iodoarene‐catalyzed asymmetric diacetoxylation of styrenes was evaluated. The screening of reaction parameters established a set of conditions under which, for the first time, an enantioselective electrochemical oxidation mediated by a chiral iodoarene achieving a catalytic turnover has been accomplished. The reaction was applied for the synthesis of an array of products in 15–60 % yields and 0–84 % ee. The modest efficiency of the electrocatalysis was traced to a partial direct oxidation of styrene substrates leading to racemic products and undesired dimeric side‐products. Cyclic voltammetry measurements demonstrated that such outcome originates from a somewhat difficult electrochemical oxidation of the applied iodoarene catalyst. Present work provides important insights and implications for the design of more efficient electrocatalytic systems employing chiral iodoarenes as mediators.
Latent profiles of emotion dysregulation among individuals with binge‐spectrum eating disorders: Associations with eating disorder pathology
Authors: Riddle Devyn R. , Presseller Emily K. , Manasse Stephanie M. , Juarascio Adrienne S. 
Published: July 2023

AbstractObjectiveEmotion dysregulation (i.e., a multi‐component term comprising nonacceptance of emotional responses, difficulty engaging in goal‐directed behaviour, impulse control difficulties, lack of emotional awareness, limited access to emotion regulation strategies, and lack of emotional clarity) is a well‐established transdiagnostic risk and maintenance factor for eating disorders. To date, there is limited information on how varying scores on subdomains of emotion dysregulation may yield distinct profiles in individuals with binge‐spectrum eating disorders (B‐EDs), and how these emotion dysregulation profiles may inform resultant symptomatology.MethodIn the current study, treatment‐seeking individuals with B‐EDs (n = 315) completed the Difficulties in Emotion Regulation Scale (DERS) and Eating Disorder Examination. Latent profile analysis was conducted on the six subscales of the DERS. Identified latent profiles were examined as predictors of eating disorder pathology using linear regression, and a two‐class model of emotion dysregulation fit the data.ResultsClass 1 (n = 113) was low in all of the DERS subscales, while Class 2 (n = 202) was high in all of the DERS subscales. Individuals in Class 2 had a significantly higher frequency of compensatory behaviours in the past month (F(1,313) = 12.97, p < 0.001), and significantly higher restraint scores (F(1,313) = 17.86, p < 0.001). The classes also significantly differed in terms of eating concern (F(1,313) = 20.89, p < 0.001) and shape concern (F(1,313) = 4.59, p = 0.03), with both being higher for Class 2.DiscussionWe found only two distinct classes of emotion dysregulation in B‐ED's such that individuals were simply high or low in emotion dysregulation. These results suggest that it may be more valuable for future research to evaluate emotion dysregulation as a cohesive whole rather than conceptualising the construct as having truly distinct subdomains.
Assessing ice sheet models against the landform record: The Likelihood of Accordant Lineations Analysis (LALA) tool
Authors: Archer R.E. , Ely J.C. , Heaton T.J. , Butcher F.E.G. , Hughes A.L.C. , Clark C.D. 
Published: July 2023

AbstractPalaeo‐ice sheets leave behind a rich database regarding their past behaviour, recorded in the landscape in the form of glacial geomorphology. The most numerous landform created by these ice sheets are subglacial lineations, which generate snapshots of the direction of ice flow at fixed (yet typically unknown) points in time. Despite their relative density within the landform record, the information provided by subglacial lineations is currently underutilised in tests of numerical ice sheet models. To some extent, this is a consequence of ongoing debate regarding lineation formation, but predominantly, it reflects the lack of rigorous model‐data comparison techniques that would enable lineation information to be properly integrated. Here, we present the Likelihood of Accordant Lineations Analysis (LALA) tool. LALA provides a statistically rigorous measure of the log‐likelihood of a supplied ice sheet simulation through comparison of simulation output with both the location and direction of observed lineations. Given an ensemble of ice sheet simulations, LALA provides a formal, and statistically underpinned, quantitative assessment of each simulation's quality‐of‐fit to mapped lineations. This enables a comparison of each simulation's relative plausibility, including identification of the most likely ice sheet simulations amongst the ensemble. This is achieved by modelling lineation formation as a marked Poisson point process and comparison of observed to modelled flow directions using the von Mises distribution. LALA is flexible—users can adapt parameters to account for differing assumptions regarding lineation formation, and for variations in the level of precision required for differing model‐data comparison experiments. We provide guidelines and rationale for assigning parameter values, including an assessment of the variability between users when mapping lineations. Finally, we demonstrate the utility of LALA through application to an ensemble of simulations of the last British‐Irish Ice Sheet. This comparison highlights the benefits of LALA over previous tools and demonstrates some of the considerations of experimental design required when identifying the fit between ice sheet model simulations and the landform record.
The improvement of wavefront cellular learning automata for task scheduling in fog computing
Authors: Jassbi Sommayeh Jafarali , Teymori Sahar 
Published: July 2023

AbstractThe rapid advancement of the “Internet of Things” (IoT) devices has led to the emergence of different types of IoT applications that need immediate response and low delay to operate. The emergence of fog computing has provided a proper platform to process fast‐emerging IoT applications. Nevertheless, to name the disadvantages of fog computing devices, it can be said that they are typically distributed, dynamic, and resource‐limited. Therefore, it seems a substantial challenge to schedule fog computational resources effectively to perform heterogeneous and delay‐sensitive IoT tasks. The problem of scheduling tasks aimed at minimizing the energy consumption of fog nodes is formulated in this article, while meeting the requirements of the quality of service (QoS) of IoT tasks, including response time. Minimizing the deadline time and balancing the network load are also considered in the mathematical model. In the next stage, a new algorithm is introduced based on a wavefront cellular learning automata (WCLA) called the wavefront cellular learning automata improved by genetic algorithm (WCLA + GA). WCLA + GA is indeed a modified version of WCLA that has been improved using the genetic algorithm. In this version, the WCLA reinforcement signal is regulated by a genetic algorithm that accelerates the automata convergence rate. WCLA + GA is then utilized to schedule fog tasks. Simulating the proposed method followed by comparing it with other methods demonstrates that WCLA + GA performs task scheduling significantly better in terms of response time, energy consumption, and percentage of tasks that meet their deadline.
Calibration and assessment of evapotranspiration methods for cucumber plants in a Venlo‐type greenhouse
Authors: Yan Haofang , Zhao Shuang , Zhang Chuan , Zhang Jianyun , Wang Guoqing , Li Mi , Deng Shuaishuai , Liang Shaowei , Jiang Jianhui 
Published: July 2023

AbstractAccurate estimation of actual crop evapotranspiration (ETc) is a necessary step in water resource management. Several ETc models have been developed and applied to estimate ETc in open fields. To date, there is no standard equation to estimate ETc under greenhouse conditions due to the structural and environmental differences between greenhouses and open fields. Therefore, an experiment was conducted in a Venlo‐type greenhouse in south‐east China during four planting seasons of cucumber plants in 2018 and 2019. Four methods, the pan evaporation method (Kp‐method), crop coefficient model (Kc‐method), Penman–Monteith model (rc‐method) and Priestley–Taylor model (αPT‐method), were employed and parameterized to estimate the ETc of cucumber in the Venlo‐type greenhouse. The performances of the four models were evaluated using ETc measured by lysimeters. The Kp‐method and αPT‐method underestimated and overestimated ETc values with root mean square errors (RMSEs) equal to 0.79 and 0.49 mm day−1 for the spring‐summer planting season (SSPS) and 0.35 and 0.51 mm day−1 for the autumn‐winter planting season (AWPS), respectively. The Kc‐method and rc‐method showed comparatively good performances in estimating cucumber ETc, with RMSEs equal to 0.53 and 0.34 mm day−1 for SSPS and 0.35 and 0.47 mm day−1 for AWPS, respectively.
A comparison of TAGteach and video self‐evaluation to improve dance movement accuracy
Authors: Goben Eliza J. , Ferguson Rachael , Wilder David A. 
Published: July 2023

AbstractPrevious behavior‐analytic research to improve dance performance has separately demonstrated the efficacy of TAGteach and self‐evaluative video feedback. However, no research has directly compared these two interventions. In this study, we used an adapted alternating‐treatment design to examine the effects of TAGteach versus self‐evaluative video feedback to improve the accuracy of dance movements among four beginner‐level dance students. All participants performed better on movements that were taught using TAGteach compared with those that were taught using video self‐evaluation. However, conclusions about the superiority of TAGteach should be tempered until further research on this topic is conducted.
Therapeutic strategy for Fabry disease by intravenous administration of adeno‐associated virus 2 or 9 in α‐galactosidase A‐deficient mice
Authors: Hayashi Yuka , Sehara Yoshihide , Watano Ryota , Ohba Kenji , Takayanagi Yuki , Muramatsu Kazuhiro , Sakiyama Yoshio , Mizukami Hiroaki 
Published: July 2023

AbstractBackgroundFabry disease (FD) is an inherited lysosomal storage disease caused by deficiency of α‐galactosidase A (α‐Gal A) encoded by the GLA gene. The symptoms of FD occur as a result of the accumulation of globotriaosylceramide (Gb3), comprising a substrate of α‐Gal A, in the organs. Adeno‐associated virus (AAV)‐mediated gene therapy is a promising treatment for FD.Methodsα‐Gal A knockout (GLAko) mice were injected intravenously with AAV2 (1 × 1011 viral genomes [vg]) or AAV9 (1 × 1011 or 2 × 1012 vg) vectors carrying human GLA (AAV‐hGLA), and plasma, brain, heart, liver and kidney were tested for α‐Gal A activity. The vector genome copy numbers (VGCNs) and Gb3 content in each organ were also examined.ResultsThe plasma α‐Gal A enzymatic activity was three‐fold higher in the AAV9 2 × 1012 vg group than wild‐type (WT) controls, which was maintained for up to 8 weeks after injection. In the AAV9 2 × 1012 vg group, the level of α‐Gal A expression was high in the heart and liver, intermediate in the kidney, and low in the brain. VGCNs in the all organs of the AAV9 2 × 1012 vg group significantly increased compared to the phosphate‐buffered‐saline (PBS) group. Although Gb3 in the heart, liver and kidney of the AAV9 2 × 1012 vg was reduced compared to PBS group and AAV2 group, and the amount of Gb3 in the brain was not reduced.ConclusionsSystemic injection of AAV9‐hGLA resulted in α‐Gal A expression and Gb3 reduction in the organs of GLAko mice. To expect a higher expression of α‐Gal A in the brain, the injection dosage, administration route and the timing of injection should be reconsidered.
Article processing charges for open access journal publishing: A review
Authors: Borrego Ángel 
Published: July 2023

AbstractSome open access (OA) publishers charge authors fees to make their articles freely available online. This paper reviews literature on article processing charges (APCs) that has been published since 2000. Despite praise for diamond OA journals, which charge no fees, most OA articles are published by commercial publishers that charge APCs. Publishers fix APCs depending on the reputation assigned to journals by peers. Evidence shows a relationship between high impact metrics and higher, faster rising APCs. Authors express reluctance about APCs, although this varies by discipline depending on previous experience of paying publication fees and the availability of research grants to cover them. Authors rely on a mix of research grants, library funds and personal assets to pay the charges. Two major concerns have been raised in relation to APCs: the inability of poorly funded authors to publish research and their impact on journal quality. Waivers have not solved the first issue. Research shows little extension of waiver use, unintended side effects on co‐author networks and concerns regarding criteria to qualify for them. Bibliometric studies concur that journals that charge APCs have a similar citation impact to journals that rely on other income sources.
Significant shifts in inorganic carbon and ecosystem state in a temperate estuary (1985–2018)
Authors: Rewrie Louise C. V. , Voynova Yoana G. , van Beusekom Justus E. E. , Sanders Tina , Körtzinger Arne , Brix Holger , Ollesch Gregor , Baschek Burkard 
Published: July 2023

AbstractEstuaries regulate carbon cycling along the land‐ocean continuum and thus influence carbon export to the ocean, and global carbon budgets. The Elbe Estuary in Germany has been altered by large anthropogenic perturbations, such as widespread heavy metal pollution, minimally treated wastewater before the 1980s, establishment of wastewater treatment plants after the 1990s, and an overall nutrient and pollutant load reduction in the last three decades. Based on an extensive evaluation of key ecosystem variables, and an analysis of the available inorganic and organic carbon records, this study has identified three ecosystem states in recent history: the polluted (1985–1990), transitional (1991–1996), and recovery (1997–2018) states. The polluted state was characterized by very high dissolved inorganic carbon (DIC) and ammonium concentrations, toxic heavy metal levels, dissolved oxygen undersaturation, and low pH. During the transitional state, heavy metal pollution decreased by > 50%, and primary production re‐established in spring to summer, with weak seasonality in DIC. Since 1997, during the recovery state, DIC seasonality was driven by primary production, and DIC significantly increased by 11 μmol L−1 yr−1, and > 23 μmol L−1 yr−1 in the recent decade (2008–2018), in the mid to lower estuary, indicating that, along with the improvement in water quality the ecosystem state is still changing. Large anthropogenic perturbations can therefore alter estuarine ecosystems (on the order of decades), as well as induce large and complex biogeochemical shifts and significant changes to carbon cycling.
A Facile and Green Microwave‐Assisted Strategy to Induce Surface Properties on Complex‐Shape Polymeric 3D Printed Structures
Authors: Gonzalez Gustavo , Arévalo María , Chiappone Annalisa , Martínez Campos Enrique , Pirri Candido Fabrizio , Roppolo Ignazio , Bosch Paula 
Published: July 2023

AbstractLight‐ induced polymeric 3D printing is becoming a well‐established fabrication method, showing manifold advantages such as control of the local chemistry of the manufactured devices. It can be considered a green technology, since the parts are produced when needed and with minimum amount of materials. In this work 3D printing is combined with another green technology, microwave‐assisted reaction, to fabricate objects of complex geometry with controllable surface properties, exploiting the presence of remaining functional groups on the surface of 3D printed specimens. In this context, surface functionalization with different amines is studied, optimizing formulations, reaction times, and avoiding surface deterioration. Then, two different applications are investigated. MW‐functionalized filter‐type structures have been tested against Staphylococcus aureus bacteria, showing high bactericidal activity on the surface along all areas of the complex‐shaped structure. Second, a fluidic chip composed of three separated channels is 3D printed, filled with different amine‐reactive dyes (dansyl and eosine derivatives), and made to react simultaneously. Complete and independent functionalization of the surface of the three channels is achieved only after 2 min of irradiation. This study demonstrates that light induced 3D printing and microwave‐induced chemistry can be used together effectively, and used to produce functional devices.
Double pulsed field gradient diffusion MRI to assess skeletal muscle microstructure
Authors: Berry D. B. , Galinsky V. L. , Hutchinson E. B. , Galons J. P. , Ward S. R. , Frank L. R. 
Published: July 2023

AbstractPurposePreliminary study to determine whether double pulsed field gradient (PFG) diffusion MRI is sensitive to key features of muscle microstructure related to function.MethodsThe restricted diffusion profile of molecules in models of muscle microstructure derived from histology were systematically simulated using a numerical simulation approach. Diffusion tensor subspace imaging analysis of the diffusion signal was performed, and spherical anisotropy (SA) was calculated for each model. Linear regression was used to determine the predictive capacity of SA on the fiber area, fiber diameter, and surface area to volume ratio of the models. Additionally, a rat model of muscle hypertrophy was scanned using a single PFG and a double PFG pulse sequence, and the restricted diffusion measurements were compared with histological measurements of microstructure.ResultsExcellent agreement between SA and muscle fiber area (r2 = 0.71; p < 0.0001), fiber diameter (r2 = 0.83; p < 0.0001), and surface area to volume ratio (r2 = 0.97; p < 0.0001) in simulated models was found. In a scanned rat leg, the distribution of these microstructural features measured from histology was broad and demonstrated that there is a wide variance in the microstructural features observed, similar to the SA distributions. However, the distribution of fractional anisotropy measurements in the same tissue was narrow.ConclusionsThis study demonstrates that SA—a scalar value from diffusion tensor subspace imaging analysis—is highly sensitive to muscle microstructural features predictive of function. Furthermore, these techniques and analysis tools can be translated to real experiments in skeletal muscle. The increased dynamic range of SA compared with fractional anisotropy in the same tissue suggests increased sensitivity to detecting changes in tissue microstructure.