bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends and determinants of hospitalizations among diabetic patients in Chile: A 4-year analysis (2019–2022)
Authors: de Souza-Lima Josivaldo , Giakoni-Ramírez Frano , Parra-Saldías Maribel , dos Santos Mauricio , Matsudo Sandra Mahecha , Ferrari Gerson , Valdivia-Moral Pedro 
Published: February 2025

Abstract

Background
Type 2 diabetes (T2D) is a growing public health concern in Chile, contributing significantly to hospitalizations due to acute and chronic complications.

Objective
This study aims to analyze trends in T2D hospitalizations over 4 years (2019–2022), focusing on patient demographics, reasons for admission, and hospitalization outcomes.

Methods
This retrospective observational study used data from the FONASA Open Data platform, covering 31,692 hospitalizations from 65 hospitals funded through the Diagnosis-Related Groups (DRG) payment mechanism. Data were analyzed for trends in age, sex, length of stay, and primary causes of hospitalization. Statistical methods included Prais-Winsten regression to assess trends and compare hospitalization rates by gender and age groups.

Results
Hospitalizations increased from 4066 in 2019 to 9628 in 2022, with the mean age rising from 65.2 ± 10.6 years to 68.4 ± 11.3 years. Peripheral circulatory complications were the leading cause of hospitalization, accounting for 70.2% of cases, followed by ketoacidosis (12.2%) and ophthalmic complications (9.1%). Male hospitalizations grew significantly, from 8.6% in 2019 to 20.2% in 2022, outpacing the increase in female hospitalizations, which reached 10.2% in 2022. The mean length of stay showed variability, with a slight increase in 2022 (11.3 ± 15.8 days).

Conclusions
This study highlights the increasing burden of T2D hospitalizations in Chile, particularly among older adults and male patients. Peripheral circulatory complications remain the primary cause of admission, underscoring the need for targeted interventions to improve diabetes management and reduce hospitalizations. Keywords such as diabetes mellitus, hospitalizations, complications, trends, and Chile are central to this analysis.
Gastrointestinal and Genitourinary Complications of Gynecologic Laparoscopic Surgery
Authors: Poston Courtney M. , Falcone Tommaso , Sprague Michael L. 
Published: February 2025

Abstract

Purpose of Review
This review seeks to deliver a comprehensive summary of the types, locations, and management strategies for gastrointestinal and genitourinary complications linked to gynecologic laparoscopic surgery. It will cover injury mechanisms, surgical methods to prevent complications, intraoperative recognition strategies, and detailed management protocols to enhance patient outcomes.

Recent Findings
The incidence of GI and GU injury at the time of gynecologic laparoscopic surgery is low but associated with substantial patient morbidity. The majority of GI injuries occur at the time of abdominal entry. Small serosal abrasions can be expectantly managed while injuries to the bowel mucosa or muscularis requires immediate surgical repair. Delayed diagnosis of bowel injury is associated with significant patient morbidity and clinical presentation is widely variable. Bladder injury is more common than ureteral injury, and bladder injury is more often recognized intraoperatively. In the setting of complex injuries, a multi-disciplinary approach is necessary to ensure proper repair and optimal patient outcomes.

Summary
Gynecologic surgeons should have a thorough understanding of the possible GI and GU injuries that can occur at the time of laparoscopic surgery and should remain vigilant in the OR to aid in early recognition of these injuries. Careful technique, thorough inspection, and the use of adjunctive tests are critical in reducing the risk of operative injuries. When patient symptoms deviate from the expected postoperative course, delayed recognition of operative injury should be considered. Timely recognition and management of such complications are crucial to optimizing patient outcomes.
Predicting the impacts of key development indices on the ecological footprint in Afghanistan using deep learning
Authors: Arian A. B. , Nazary M. N. , Karimi A. Z. , Obiad M. 
Published: February 2025

Abstract
Evaluating the ecological footprint (EF) is one of the objectives of nations worldwide, playing a vital role in preserving their environmental resources. This check aims to predict the impacts of key development indices on the EF using deep learning methods with time series data for the period of 1980–2019 in Afghanistan. Initially, an auto-encoder neural network test was used for the analysis of the time series data. The dataset was split into a training set comprising seventy percent of the data and a test set comprising thirty percent. Secondly, auto-encoder neural network methodologies have attracted substantial attention due to their deep learning capacities, offering data optimization and enhancing the accuracy and precision of predictions in both dependent and independent variables. Thirdly, the reliability, stability, and predictive capabilities of the parameters were assessed using an auto-encoder neural network through preliminary tests. The results of the diagnostic tests confirm the predictability and reliability of the parameters in the auto-encoder neural network model. Notably, a strong positive relationship is observed among development indices and EF. The highest correlation coefficient is observed between the total population index and the EF, yielding a rate of R = 0.94. Furthermore, a correlation coefficient of 0.91 is found between the agricultural production index and the ecological footprint. Therefore, on these findings, it can be inferred that the development indices exert significant positive effects on the EF in Afghanistan. To conclude, this study showed deep learning methods can be utilized to predict the impact of development indices on the EF in Afghanistan.
Decoding the Interplay Between Supplier Network Flexibility and Financial Performance within the Buyer Network in Uncertain Business Environments
Authors: Mannaperuma Buddhika , Ho William , Singh Prakash J. 
Published: February 2025

Abstract
Multinational corporations increasingly choose flexible suppliers over low-cost options to manage uncertainties effectively. While previous research highlights the importance of buyer network design for supplier flexibility and reconfiguration, the literature barely discusses supplier network flexibility based on a supplier’s network position (e.g., centrality). The structural flexibility of the buyer network is often overlooked despite its crucial role in recovery from disruptions. Furthermore, prior research exploring supplier centrality enhances a focal buyer’s performance and provides limited insight into suppliers’ financial performance within the buyer network. Additionally, the dimensions of business environmental uncertainty are likely to interact with supplier network flexibility in the buyer network, affecting supplier financial performance. However, the literature also offers little insight into this aspect. Therefore, this study investigates the impact of the interplay between supplier network flexibility (eigenvector and closeness centralities) and business environmental uncertainty (dynamism, munificence, and complexity) on supplier financial performance. This study relies on social network theories and the literature on supplier network flexibility, environmental uncertainty, and financial performance. It develops a section of Toyota’s triadic buyer network at the corporate level, with this network involving 6152 suppliers and 14,156 relationships. Using a hierarchical moderated regression model, this study finds that higher closeness and eigenvector centralities positively impact supplier financial performance, with dynamism and complexity positively moderating these effects, whereas munificence negatively moderates them. These findings offer insights into how central suppliers can enhance their financial performance and strategically position themselves within buyer networks to adapt to business environmental uncertainties.
Recent developments of laser beam submerged arc hybrid welding in the thick sheet range
Authors: Clemens M. , Olschok S. , Reisgen U. 
Published: February 2025

Abstract
The economic joining of large pipes and pipelines with large sheet thicknesses is becoming increasingly important in wind turbine and pipeline construction. Currently, only conventional arc welding processes such as the submerged arc welding (SAW) are used for joining these large sheet thicknesses. Process-induced, a large number of weld passes are required to fill the large weld volume. This results in considerable costs, which are composed of the energy requirements, weld filler metal and production time, among other things. By combining the laser beam process with the conventional SAW process in a common process zone, it was possible to develop a high-performance welding process at the Welding and Joining Institute at RWTH Aachen University that enables more efficient joining in the thick sheet area. With the laser beam submerged arc hybrid welding process (LUPuS Hybrid), it has already been possible to join structural steel of up to 50 mm using the layer-counterlayer technique in just two weld passes. The use of high-strength steels enables a significant reduction in sheet thickness and thus more cost- and resource-efficient production in wind turbine and pipeline construction. In the scope of this work, the LUPuS Hybrid process is therefore qualified for the single-sided and double-sided joining of thick unalloyed structural steels and high-strength pipeline steels. In detail, first various concepts for root-side weld bath support (e.g., ceramic or copper backings) for single-sided joining and layer/counterlayer welding for double-sided welding of sheet thicknesses of up to 30 mm are presented using a structural steel of grade S355. The knowledge gained is then transferred to the joining of high-strength steels of grade API X65. Since increased hydrogen content, which is mainly introduced by the welding consumables (flux and wire) in the LUPuS Hybrid process, can lead to hydrogen-induced cold cracking (HIC), the welding results generated are analysed with regard to the hydrogen input introduced by the LUPuS Hybrid process and possible measures for hydrogen effusion are discussed. As a result, single and double-sided welds were generated on S355 and API X65 steels. The diffusible hydrogen contents of the LUPuS and SAW reference samples—quantified according to DIN EN ISO 3690—were generally at a similar level. By additionally oscillating the laser beam, a reduction in the diffusible hydrogen content was achieved with LUPuS welding compared to the SAW reference samples (LUPuS 5.83 ml/100 g; SAW 6.64 ml/100 g).
Human vs. robot service provider agents in service failures: comparing customer dissatisfaction and the mediating role of forgiveness and service recovery expectation
Authors: Huang Zuwen , Lo Ada 
Published: February 2025

Abstract
This study employs a 3 × 2 between-subject experimental design to investigate customer responses to hotel service failures attributed to different service provider agents (SPAs) [humans, humanoid robots, non-humanoid robots] in two types of service failure contexts [process and outcome]. It focuses on customers’ initial psychological response [forgiveness], subsequent action-seeking behavior [service recovery expectation (SRE)], and overall outcome evaluation [dissatisfaction]. Hypotheses are grounded in Mind Perception Theory, Attribution Theory, and Expectancy Disconfirmation Theory. A two-way ANCOVA was used to compare mean scores across the dependent variables. The findings reveal that increased SPA humanness diminishes customers’ forgiveness, elevates SRE, and intensifies dissatisfaction, with these differences occurring only in process failures and not in outcome failures. Subsequently, a serial mediation analysis for process failures indicated that forgiveness and SRE serially mediate the positive relationship between SPAs’ humanness and customer dissatisfaction.
The Chicago school of ecology’s evolutionary superorganism and the clements-wright connection
Authors: Huneman Philippe 
Published: February 2025

Abstract
“Organicism” often refers to the idea that ecosystems or communities are, or are like, organisms. Often implicit in early twentieth century, it has been theorized by Clements, relying on physiological and developmental concepts. I investigate the fate of this idea in major attempts of a theoretical synthesis of ecology in the first part of the twentieth century. I first consider Bioecology (1939), by Clements and Shelford, which elaborates clementsian organicism as a general framework for plant and animal ecology. Then I investigate the major animal ecology treatise of the Chicago school ecologists C. Allee, T. Park, O. Park, K. Schmidt and A. Emerson, Principles of animal ecology (1949). I show how they shifted organicism from physiology to evolution, synthesizing inspiration from both Clements and Sewall Wright, got their inspiration in evolutionary biology, and built a systematic correspondence between cells, organisms and communities. I claim that the focus on populations allowed them to apply Darwinian insights at the level of communities. Finally I argue that this theoretical synthesis fell apart in the next decade because of the rise of density-dependent accounts of population regulation.
A Qualitative Analysis of the Relationship Between Simulated And Clinical Learning Environments in Obstetrics and Gynaecology
Authors: Daly Ronan , Kane Daniel , Browne Anne , Flood Karen 
Published: February 2025

Abstract

Introduction
Clinical placement on the labour ward is an essential component of Obstetrics and Gynaecology curricula in medical schools worldwide. This clinical learning environment (CLE) provides students with a formative opportunity for experiential learning around labour and delivery. However, the CLE presents challenges to learning, in particular diversity of experiences and opportunities. The simulated learning environment (SLE) has been adopted by medical schools worldwide in order to address such issues. The SLE provides a safe space for students to practise clinical skills around care in labour and delivery. These learning experiences form the sole exposure for many students to labour and delivery. This study examines the learner experience of these environments and the relationship between them.

Methods
A qualitative research study was performed in the Royal College of Surgeons Ireland. Fourth year undergraduate medical students undertaking their obstetrics and gynaecology rotation were invited to participate. Students attend a labour ward simulation and a week-long clinical placement as part of this rotation. Focus groups were conducted following the simulation and students completed audio diaries during their clinical placement which underwent inductive content analysis.

Results
Four major concepts emerged from analysis of the data from 29 participating students. Simulation was viewed by students as preparation for the CLE. Learner safety within the simulated learning space was highly valued by students. Learner roles in the SLE were often assigned, while student identity on the labour ward developed from their own engagement, patient interactions, and interprofessional staff. Students identified the emotional aspect of the CLE of the labour ward as a significant impact on their learning experience.

Conclusion
The SLE was valued as a stepping-stone to prepare for the CLE. The safety afforded by the simulated labour ward was important to the student learning experience. The CLE was conducive to the formation of learner identities and students valued the emotional engagement with patients. These two areas require further exploration within the simulated learning space.
Review on in-situ CO2 mineralization sequestration: mechanistic understanding and research frontiers
Authors: Ye Hang , Liu Qi , Bao Qi , Wang Zhanpeng , Xie Yan , Michelle Tiong , Zhao Wentao , Xian Chenggang 
Published: February 2025

Abstract
The substantial emissions of greenhouse gases, particularly CO2, constitute a primary driver of global warming. CCUS is proposed as an effective mitigation strategy which is often estimated to account for about 15% of cumulative carbon emission reduction. In-situ CO2 mineralization sequestration, compared to conventional geological storage methods such as depleted oil and gas reservoirs, unmineable coal seams, and deep saline aquifers, offers the advantage of permanent immobilization of injected carbon. However, uncertainties persist regarding the characteristics of geochemical interactions under reservoir pore conditions, as well as the kinetic mechanisms of mineralization reactions. Additionally, geochemical reactions may lead to solid particle transport and deposition, potentially causing pore throat occlusion. Pilot projects in Iceland and the United States have demonstrated the feasibility of this technology, but the field remains in the early deployment stage. In this review, the mechanisms of in-situ mineralization have been elucidated, the primary factors influencing the reaction kinetics have been discussed, and the current research status in this field has been summarized. It is emphasized that establishing a reliable system for evaluating storage capacity and understanding the kinetic mechanisms governing CO2 conversion into minerals at multi-phase interfaces are key priorities for future work.
Navigating Outward Bound: a first-person exploration of situational exposure through an autistic lens
Authors: Newcombe Nicolina , Good Gretchen A. 
Published: February 2025

Abstract
This article explores the first author’s experience as an autistic woman attending a five-day Professional Leadership course at Outward Bound in Aotearoa, New Zealand. Through a first-person autoethnographic narrative, Nicolina shares why she chose Outward Bound and how she navigated the challenges of situational exposure in a physically and socially demanding outdoor education program, using accommodations to maximise time in the learning zone. She discusses the sensory sensitivities and need for routines that often accompany Autism Spectrum Disorder and demonstrates how she adapted and advocated for her needs while participating in a mainstream course. The barriers she encountered and the positive outcomes she achieved are described. Four themes emerged, these were motivation, challenges, coping and thriving through adaptations, and hope. By reflecting on the balance between growth and anxiety within the comfort zone model, this article offers insights for autistic people, outdoor educationalists, and practitioners. Recommendations call for increased awareness and flexibility in accommodating neurodivergent people in adventure education contexts.
Beyond Cloud: Serverless Functions in the Compute Continuum
Authors: Calavaro Cecilia , Cardellini Valeria , Lo Presti Francesco , Russo Russo Gabriele 
Published: February 2025

Abstract
Serverless computing and, in particular, the Function-as-a-Service (FaaS) paradigm are increasingly popular, promising seamless scalability, simplified operations and flexible pricing. As more and more applications aim to benefit from near-user computation, there is increasing interest in deploying and running FaaS systems in the emerging edge-to-cloud compute continuum of computational resources. However, this new environment forces FaaS systems, originally developed with cloud in mind, to deal with limited resource availability, high hardware heterogeneity, and geographical distributions. In this paper, we discuss the key challenges for deployment and execution of serverless functions in the compute continuum, reviewing recent research contributions on the topic. We also discuss the key issues that remain unsolved and highlight a research opportunities to make FaaS adoption easier and more efficient far from cloud data centers.
Classification of EEG Signal Using Deep Learning Architectures Based Motor-Imagery for an Upper-Limb Rehabilitation Exoskeleton
Authors: Titkanlou Maryam Khoshkhooy , Pham Duc Thien , Mouček Roman 
Published: February 2025

Abstract
The brain-computer interface (BCI) is an emerging technology that enables people with physical disabilities to control and interact with devices only by using their minds and without being dependent on healthy people. One of the most popular BCI paradigms, motor imagery (MI) based on electroencephalograms (EEGs), is applied in healthcare, including rehabilitation. A significant challenge in classifying EEG signals using deep learning methods is the accurate recognition of MI signals. CNN-LSTM and CNN-Transformer are two classification algorithms proposed to improve the classification accuracy of Motor Imagery EEG signals in a noninvasive brain-computer interface. Three different methods, including noise injection (NI), conditional variational autoencoder (cVAE), and conditional GAN with Wasserstein price function and gradient penalty (cWGAN-GP), have also been implemented to augment this dataset. The best accuracy was achieved by the CNN-LSTM model, which is 79.06%, using an MI dataset involving hand movements. The dataset included 29 healthy subjects, with males aged 21–26 and females aged 18–23.
Do natural resources, energy consumption, and financial development increase carbon emissions? The role of globalization and green technology
Authors: Khan Sher , Suplata Marian , Pawera Rene , Waris Abdul 
Published: February 2025

Abstract
This study investigates the impacts of natural resources, financial development, and non-renewable energy consumption on the quality of the environment by including renewable energy consumption, globalization, and industrialization into the model for full sample countries over the 1985–2019 time spans. This study employs dynamic fixed effects (DFE), dynamic seemingly unrelated regressions (DSUR), and dynamic system generalized method of moments (DSGMM) approaches. The results of the study revealed that globalization and financial development `deteriorate the environmental quality by increasing CO2 emissions. Similarly, non-renewable energy consumption and natural resource depletion also worsen the environmental quality while increasing the usage of renewable energy improves environmental quality due to emitting less CO2 emissions. It is recommended that these countries' governments should focus on globalization. The government should create regulations that force business sectors to adopt more productive and effective technology. Furthermore, to reduce CO2 emissions in full sample countries, energy efficiency could be achieved through adopting energy-saving initiatives, outsourcing energy infrastructure, foreign direct investment in the renewable energy sector, financial development to encourage green infrastructure, and energy production using renewable energy sources and energy conservation measures.

Graphical Abstract