bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robot-assisted resection of benign splenic tumors in children
Authors: Cai Duote , Ying Yan , Fan Jiani , Jin Yi , Huang Zongwei , Zhang Yuebin , Zhang Shuhao , Chen Qingjiang , Gao Zhigang 
Published: December 2023

Abstract
Purpose
Robotic surgery is becoming increasingly widely used in the field of pediatric surgery. The present study aimed to evaluate the safety and feasibility of robot-assisted resection of benign pediatric splenic tumors and to discuss the technical points.

Methods
A total of 32 patients who were diagnosed with benign splenic tumors and underwent minimally invasive surgery from January 2017 to September 2023 were included in the study. The clinical data including demographic criteria, operative details, and postoperative outcomes were analyzed retrospectively.

Results
Thirteen patients underwent robot-assisted surgery, and 19 patients underwent laparoscopic surgery. The median operation time was 150 min, with an interquartile range (IQR) of 120 to 200 min for the robot-assisted group and 140 min with an IQR of 105 to 180 min in the laparoscopic group (P = 0.318). Despite four cases in the laparoscopic group (21%) being converted to laparotomy because of intraoperative bleeding, compared with none in the robot-assisted group, there was no significant difference between two groups (P = 0.128). The intraoperative volume of blood loss was significantly less (P = 0.041), and the hospitalization expense was significantly higher (P = 0.000) in the robot-assisted group than for the laparoscopic group. There was no significant difference in patients’ age, tumor size, postoperative feeding time, and the postoperative hospitalization time between two groups (P > 0.05).

Conclusion
Robot-assisted benign splenic tumor resection was safe and feasible, and it reduced surgical trauma for the pediatric patient.
Climate-dependent plant responses to earthworms in two land-use types
Authors: Liu Qun , Eisenhauer Nico , Scheu Stefan , Angst Gerrit , Bücker Miriam , Huang Yuanyuan , Meador Travis B. , Schädler Martin 
Published: December 2023

AbstractPlant nutrient uptake and productivity are driven by a multitude of factors that have been modified by human activities, like climate change and the activity of decomposers. However, interactive effects of climate change and key decomposer groups like earthworms have rarely been studied. In a field microcosm experiment, we investigated the effects of a mean future climate scenario with warming (+ 0.50 °C to + 0.62 °C) and altered precipitation (+ 10% in spring and autumn, − 20% in summer) and earthworms (anecic—two Lumbricus terrestris, endogeic—four Allolobophora chlorotica and both together within 10 cm diameter tubes) on plant biomass and stoichiometry in two land-use types (intensively used meadow and conventional farming). We found little evidence for earthworm effects on aboveground biomass. However, future climate increased above- (+40.9%) and belowground biomass (+44.7%) of grass communities, which was mainly driven by production of the dominant Festulolium species during non-summer drought periods, but decreased the aboveground biomass (− 36.9%) of winter wheat. Projected climate change and earthworms interactively affected the N content and C:N ratio of grasses. Earthworms enhanced the N content (+1.2%) thereby decreasing the C:N ratio (− 4.1%) in grasses, but only under ambient climate conditions. The future climate treatment generally decreased the N content of grasses (aboveground: − 1.1%, belowground: − 0.15%) and winter wheat (− 0.14%), resulting in an increase in C:N ratio of grasses (aboveground: + 4.2%, belowground: +6.3%) and wheat (+5.9%). Our results suggest that climate change diminishes the positive effects of earthworms on plant nutrient uptakes due to soil water deficit, especially during summer drought.
Clinical practice guideline on the use of single-operator cholangioscopy in the diagnosis of indeterminate biliary stricture and the treatment of difficult biliary stones
Authors: Rey Rubiano Adriana Margarita , González-Teshima Laura Yuriko , Arango Lázaro , Blanco-Avellaneda Camilo , Carvajal Gutiérrez Jhon Jaime , Castaño-Llano Rodrigo , Gómez Zuleta Martin Alonso , González Carlos , Peñaloza-Ramírez Arecio , Pinilla Morales Raúl , Pinto Carta Renzo , Polanía Liscano Héctor Adolfo , Rincón Sánchez Reinaldo Andrés , Sepúlveda Copete Mauricio , Vargas-Rubio Rómulo , Avendaño Capriles Camilo Andrés , García-Sierra Andrés Mauricio , Yepes-Nuñez Juan José 
Published: December 2023

Abstract
Background and aims
Single-operator cholangioscopy (SOC) offer a diagnostic and therapeutic alternative with an improved optical resolution over conventional techniques; however, there are no standardized clinical practice guidelines for this technology. This evidence-based guideline from the Colombian Association of Digestive Endoscopy (ACED) intends to support patients, clinicians, and others in decisions about using in adults the SOC compared to endoscopic retrograde cholangiopancreatography (ERCP), to diagnose indeterminate biliary stricture and to manage difficult biliary stones.

Methods
ACED created a multidisciplinary guideline panel balanced to minimize potential bias from conflicts of interest. Universidad de los Andes and the Colombia Grading of Recommendations Assessment, Development and Evaluation (GRADE) Network supported the guideline-development process, updating and performing systematic evidence reviews. The panel prioritized clinical questions and outcomes according to their importance for clinicians and patients. The GRADE approach was used, including GRADE Evidence-to-Decision frameworks.

Results
The panel agreed on one recommendation for adult patients with indeterminate biliary strictures and one for adult patients with difficult biliary stones when comparing SOC versus ERCP.

Conclusion
For adult patients with indeterminate biliary strictures, the panel made a conditional recommendation for SOC with stricture pattern characterization over ERCP with brushing and/or biopsy for sensitivity, specificity, and procedure success rate outcomes. For the adult patients with difficult biliary stones the panel made conditional recommendation for SOC over ERCP with large-balloon dilation of papilla. Additional research is required on economic estimations of SOC and knowledge translation evaluations to implement SOC intervention in local contexts.
Shared atypical spontaneous brain activity pattern in early onset schizophrenia and autism spectrum disorders: evidence from cortical surface-based analysis
Authors: Jin Xingyue , Zhang Kun , Lu Bin , Li Xue , Yan Chao-Gan , Du Yasong , Liu Yi , Lu Jianping , Luo Xuerong , Gao Xueping , Liu Jing 
Published: December 2023

AbstractSchizophrenia and autism spectrum disorders (ASD) were considered as two neurodevelopmental disorders and had shared clinical features. we hypothesized that they have some common atypical brain functions and the purpose of this study was to explored the shared brain spontaneous activity strength alterations in early onset schizophrenia (EOS) and ASD in the children and adolescents with a multi-center large-sample study. A total of 171 EOS patients (aged 14.25 ± 1.87), 188 ASD patients (aged 9.52 ± 5.13), and 107 healthy controls (aged 11.52 ± 2.82) had scanned with Resting-fMRI and analyzed surface-based amplitude of low-frequency fluctuations (ALFF). Results showed that both EOS and ASD had hypoactivity in the primary sensorimotor regions (bilateral primary and early visual cortex, left ventral visual stream, left primary auditory cortex) and hyperactivity in the high-order transmodal regions (bilateral SFL, bilateral DLPFC, right frontal eye fields), and bilateral thalamus. EOS had more severe abnormality than ASD. This study revealed shared functional abnormalities in the primary sensorimotor regions and the high-order transmodal regions in EOS and ASD, which provided neuroimaging evidence of common changes in EOS and ASD, and may help with better early recognition and precise treatment for EOS and ASD.
Neuro-oncological research output in Africa: a scoping review of primary brain tumors
Authors: Moawad Mostafa Hossam El din , Al-Jafari Mohammad , Taha Amira Mohamed , A’amar Jenan Walid , Alsayed Omar , Fayad Taha , Sadeq Mohammed Ahmed , Albakri Khaled , Serag Ibrahim 
Published: December 2023

Abstract
Background
There is evidence that individuals of African ancestry, particularly those residing in Africa, suffer from an unfortunate amount of under-representation in cancer research worldwide.

Aim
We aimed to analyze current research output and potentially predict future trends in neuro-oncological research in Africa. Investigating deficits in the field will assist in identifying top-performing countries, which ones face challenges, and how to solve them. Therefore, targeted interventions can be applied to overcome these challenges.

Methods
We conducted a systematic computer-based search on the following databases (PubMed, Scopus, Web of Science, and Embase) for research articles related to the neuro-oncological field in Africa. We aimed to retrieve any article published in the period between 1 January 2000 and 10 January 2023.

Results
We included 200 eligible articles in our study. The output of neuro-oncological research has been increasing over the past two decades, peaking in 2019. Among the included articles, clinical practice issues constituted the majority (80%), while public health-related topics accounted for 20% of the publications. Regarding the type of neurological tumor, neuroblastoma was the most common, with 26 articles (13%), meningioma with 21 (10.5%), and glioma with 16 articles (8%).

Conclusion
The interest in African neuro-oncological research is increasing. Hence, there is a need for ongoing efforts to address issues with clinical practice and public health related to neurological tumors in the continent. Future studies should concentrate on filling in knowledge gaps and investigating novel methods for neuro-oncological conditions that affect African populations in terms of prevention, diagnosis, treatment, and management strategies.
Synthesis of highly basic, low-cost iron oxides from tin can waste as valorization of municipal solid waste and study of their catalytic efficiency as potent catalysts for MEK production
Authors: Gomaa Abouelhassan A. , Osman Ahmed I. , Halawy Samih A. , Mohamed Mohamed A. , Abdelkader Adel 
Published: December 2023

AbstractIn the present study, low-cost iron oxide catalysts have been prepared by a simple precipitation method using tin food can waste as a source of iron and sodium hydroxide or ammonium hydroxide solution as a precipitating agent. The prepared catalysts were characterized by thermogravimetric analysis (TGA), differential thermal analysis (DTA), X-ray diffraction (XRD), FT-IR spectra, scanning electron microscopy (SEM), EDAX quantitative elemental analysis, and BET surface area measurements. Surface basicity of iron oxide catalysts was measured by adsorption of carbon dioxide as an acidic probe molecule, followed by desorption measurements using the TGA technique. The prepared iron oxide catalysts were tested by dehydrogenation of 2-butanol to methyl ethyl ketone (MEK) at a temperature range of 275–375 °C. Commercial iron oxide was tested under identical reaction conditions for comparison with the prepared catalysts. The results indicated the superiority of the prepared catalysts over the commercial one and the superiority of the catalyst prepared using NaOH over that prepared using NH4OH as precipitating agents. The use of different precipitating agents affects the surface morphology and, consequently, the catalytic activity of the produced iron oxide catalysts.
Graphical abstract
Melanin-based plumage coloration and melanin content in organs in the barn owl
Authors: Roulin Alexandre , Dubey Sylvain , Ito Shosuke , Wakamatsu Kazumasa 
Published: December 2023

AbstractAlthough the evolutionary ecology of melanin pigments and melanin-based coloration has been studied in great details, particularly in birds, little is known about the function of melanin stored inside the body. In the barn owl Tyto alba, in which individuals vary in the degree of reddish pheomelanin-based coloration and in the size of black eumelanic feather spots, we measured the concentration in melanin pigments in seven organs. The eyes had by far the most melanin then the skin, pectoral muscle, heart, liver, trachea, and uropygial gland. The concentration in eumelanin was not necessarily correlated with the concentration in pheomelanin suggesting that their production can be regulated independently from each other. Redder barn owls had more pheomelanin in the skin and uropygial gland than white owls, while owls displaying larger black feather spots had more eumelanin in the skin than small-spotted owls. More data are required to evaluate whether melanin-based traits can evolve as an indirect response to selection exerted on melanin deposition in organs.
Modeling and solving the fuel distribution problem with unloading precedence and loading sequence considerations
Authors: Androutsopoulos Konstantinos N. , Zografos Konstantinos G. 
Published: December 2023

AbstractThis paper presents a real-world liquid fuel distribution problem involving a heterogeneous fleet of multi-compartment vehicles servicing a set of orders of different fuels. Two new features are introduced that affect significantly the performance of the fuel distribution process in terms of safety and efficiency: (i) loading trucks so that the payload remains balanced throughout each phase of a delivery route, and (ii) sequencing the requests for loading trucks at the depot loading facilities. A Mixed Integer Programming formulation is presented and an Adaptive Large Neighbourhood Search algorithm with various novel features is developed and benchmarked. A new loading model is formed and solved for allocating the ordered items (fuel) to vehicle compartments, as part of constructing/repairing delivery routes. The computational performance of the proposed solution approach has been tested on a series of benchmark problems. Moreover, a series of experiments were performed in order to assess the effect of the balanced loading constraints on the traveled distance. The results indicate that the effect of this type of constraint on the total traveled distance is kept at a reasonable level, reaching a maximum increase of 4.37%. The computational tools presented in this work may accommodate the dispatchers’ work in producing efficient and safe delivery routes while managing efficiently any potential bottleneck in the truck loading facilities.
Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection
Authors: Lee Seung-Cheol , Lee Dong-Gun , Seo Yeong-Seok 
Published: December 2023

AbstractMobile apps, used by many people worldwide, have become an essential part of life. Before using a mobile app, users judge the reliability of apps according to their reviews. Therefore, app reviews are essential components of management for companies. Unfortunately, some fake reviewers write negative reviews for competing apps. Moreover, artificial intelligence (AI)-based macro bot programs that generate app reviews have emerged and can create large numbers of reviews with malicious purposes in a short time. One notable AI technology that can generate such reviews is Generative Pre-trained Transformer-2 (GPT-2). The reviews generated by GPT-2 use human-like grammar; therefore, it is difficult to detect them with only text mining techniques, which use tools like part-of-speech (POS) tagging and sentiment scores. Thus, probability-based sampling techniques in GPT-2 must be used. In this study, we identified features to detect reviews generated by GPT-2 and determined the optimal feature combination for improving detection performance. To achieve this, based on the analysis results, we built a training dataset to find the best feature combination for detecting the generated reviews. Various machine learning models were then trained and evaluated using this dataset. As a result, the model that used both text mining and probability-based sampling techniques detected generated reviews more effectively than the model that used only text mining techniques. This model achieved a top classification accuracy of 90% and a macro F1 of 0.90. We expect the results of this study to help app developers maintain a more stable mobile app ecosystem.
Graphical abstract
Reproductive Strategies and Romantic Love in Early Modern Europe
Authors: Dias Martins Mauricio de Jesus , Baumard Nicolas 
Published: December 2023

AbstractIn Western Europe, the Early Modern Period is characterized by the rise of tenderness in romantic relationships and the emergence of companionate marriage. Despite a long research tradition, the origins of these social changes remain elusive. In this paper, we build on recent advances in behavioral sciences, showing that romantic emotional investment, which is more culturally variable than sexual attraction, enhances the cohesion of long-term relationships and increases investment in children. Importantly, this long-term strategy is considered especially advantageous when living standards are high. Here, we investigate the relationship between living standards, the emotional components of love expressed in fiction work, and behavioral outcomes related to pair bonding, such as nuptial and fertility rates. We developed natural language processing measures of “emotional investment” (tenderness) and “attraction” (passion) and computed romantic love in English plays (N = 847) as a ratio between the two. We found that living standards generally predicted and temporally preceded variations of romantic love in the Early Modern Period. Furthermore, romantic love preceded an increase in nuptial rates and a decrease in births per marriage. This suggests that increasing living standards in the Early Modern Period may have contributed to the emergence of modern romantic culture.
Acceptance of Low-Carbon School Meals with and without Information—A Controlled Intervention Study
Authors: André E. , Eustachio Colombo P. , Schäfer Elinder L. , Larsson J. , Hunsberger M. 
Published: December 2023

AbstractThis controlled intervention study focused on optimizing a school lunch menu to achieve a 20% reduction in greenhouse gas emissions. The objective was to evaluate the impact of introducing a low-carbon menu on pupils’ acceptance of school meals, as well as to assess whether providing information about the menu change independently influenced pupils’ acceptance. The study was conducted across six compulsory schools in a Swedish municipality, divided into three groups: schools implementing a menu change only (Menu), schools implementing a menu change with clear information provided to pupils (Menu + Info), and control schools serving the standard menu (Control). During a seven-week baseline period, all schools served the standard menu. Subsequently, for seven weeks, Menu and Menu + Info schools transitioned to a low-carbon menu achieved through the utilization of low-carbon recipes—reducing the proportion of food items with significant climate footprints while maintaining the recommended nutritional standards. In Menu + Info schools, pupils were presented with an informative video about the menu change during class. The acceptance of the low-carbon menu was evaluated through daily measurements of food consumption, plate waste, and meal satisfaction surveys. The study’s findings revealed that neither the menu change nor the information significantly affected the pupils’ acceptance of the new menu. These results align with prior studies, reinforcing the viability of employing low-carbon recipes to reduce the climate footprint of school meals. Moreover, this study demonstrates that providing supplemental information for transparency or educational purposes can be implemented without adversely affecting menu acceptance.
Industrial data sharing and data readiness: a law and economics perspective
Authors: Jorzik Nathalie , Kirchhof Paula Johanna , Mueller-Langer Frank 
Published: December 2023

AbstractWe study the incentives and welfare properties of industrial data sharing taking into account the data (economy) readiness of companies. We differentiate between two regulatory settings. First, there is no compulsion for companies to provide data. Companies, which also use the data for other corporate purposes, decide whether to share their data voluntarily. Second, there is a regulatory requirement on the minimum amount of data to be shared by the data provider. We assume that data sharing affects the data provider’s value of the data. The magnitude and sign of this effect have an impact on the optimal investment level of data generation and overall welfare in the different cases under study. Our results suggest that the implementation of a data-sharing policy has ambiguous welfare properties. It has positive welfare properties if (a) the data receiving firm does not pay too much for the data, (b) the data receiving firm benefits enough from the data provider’s data generating effort, and (c) the intensified competition due to data sharing is not too harmful to the data provider. In contrast, it will always have negative welfare properties if the data provider’s minimum amount of data to be shared under the policy is prohibitively high such that no data is created in the first place. Our results also suggest that a positive effect of data sharing on the data-generating company’s value of the data and its data economy readiness positively affect the incentives to share data. Finally, we find that data sharing under a data-sharing policy leads to a lower data quality if the data economy readiness of the data-generating company is too low.
Regular moderate physical exercise decreases Glycan Age index of biological age and reduces inflammatory potential of Immunoglobulin G
Authors: Šimunić-Briški Nina , Dukarić Vedran , Očić Mateja , Madžar Tomislav , Vinicki Martina , Frkatović-Hodžić Azra , Knjaz Damir , Lauc Gordan 
Published: December 2023

AbstractPhysical inactivity and obesity are growing concerns, negatively impacting the general population. Moderate physical activity is known to have a beneficial anti-inflammatory effect. N-glycosylation of immunoglobulin G (IgG) reflects changes in the inflammatory potential of IgG. In this study, GlycanAge index of biological age (GlycanAge), one of the first commercially used biomarkers of aging, was employed to assess effects of exercise intensity in three different groups of athletes: professional competing athletes, regularly moderate active individuals and newly involved recreational individuals, compared to the group of inactive individuals. GlycanAge was significantly lower in the active group compared to the inactive group (β = -7.437, p.adj = 7.85E-03), and nominally significant and increased in professional athletes compared to the active group (β = 7.546, p = 3.20E-02). Competing female athletes had significantly higher GlycanAge comparing to active females exercising moderately (β = 20.206, p.adj = 2.71E-02), while the latter had significantly lower GlycanAge when compared with the inactive counterparts (β = -9.762, p.adj = 4.68E-02). Regular, life-long moderate exercise has an anti-inflammatory effect in both female and male population, demonstrated by lower GlycanAge index, and it has great potential to mitigate growing issues related to obesity and a sedentary lifestyle, which are relentlessly increasing world-wide.