bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards Frugal Industrial AI: a framework for the development of scalable and robust machine learning models in the shop floor
Authors: Martínez-Arellano Giovanna , Ratchev Svetan 
Published: October 2024

AbstractArtificial intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection are becoming popular, these work under very limited conditions. Solutions do not scale-up in the real environment, where there is a mix of manufacturing equipment, where the quality and quantity of data available changes from machine to machine, or where the process changes, changing the distribution of data (i.e. concept drift). This is particularly challenging in highly reconfigurable and flexible environments. Having to develop machine learning models from scratch every single time is not cost-effective, time-consuming, requires expert knowledge that is typically not available in the manufacturing environment as well as can be challenging when data is not available in high volumes. Model robustness, reusability, adaptability and life cycle management are the keys to scale-up this technology in the manufacturing industry. In this work, a conceptual framework to enable simple and robust ML model development for the shop floor is introduced. Referred here as Frugal Industrial AI, the approach takes advantage of existing models and their context to build more robust ones in a data-efficient manner. Using a semantic knowledge base of how to construct these models for different manufacturing applications and semi-automating the development or reuse of solutions through semantic similarity, it is demonstrated how models can be developed in a more streamlined way. In addition, it is demonstrated how capturing process context information is important for the effective reuse of existing models through continual learning. This is key to building more robust ML solutions that can deal with real changing manufacturing environments, avoiding retraining from scratch as well as enabling the non-expert to use AI effectively on the shop floor.
Designing the future of coopetition: An IIoT approach for empowering SME networks
Authors: da Silva Agostinho , Marques Cardoso Antonio J. 
Published: October 2024

AbstractIn an era where Information and Communication Technologies (ICT) redefine the boundaries of competition and collaboration, the concept of coopetition — simultaneous competition and cooperation — emerges as a strategic imperative for small and medium-sized enterprises (SMEs). This study presents the design and development of an Industrial Internet of Things (IIoT) artefact designed to enable competition among SMEs. Bringing the Service-Dominant Logic (S-D logic) foundations to IIoT, a Design Science Research (DSR) approach was employed. This approach facilitated the integration of design theory with practical problem-solving, creating the Coopetition IIoT-based System. The primary goal of this solution is to augment the dynamics of coopetition networks, with a particular focus on SMEs. The practical evaluation of the Coopetition IIoT-based System is assessed through a prototype evaluation by experts representing twenty-four manufacturing stone SMEs, a crucial sector in the Portuguese economy. The feedback received was highly positive, indicating a positive evaluation rate of 78.9%. This favourable response highlights the Coopetition IIoT-based System’s proficiency in fostering simultaneous competition and cooperation throughout the lifecycle of business opportunities in SME networks, thereby underscoring its potential as a facilitator of effective competition. Theoretically, this research enriches the application of S-D logic in coopetition networks and advances state-of-the-art IIoT systems. Practically, the Coopetition IIoT-based System demonstrates significant potential in boosting the competitiveness of SMEs in developed economies. Nonetheless, the ultimate efficacy of such IIoT systems will be best determined through real-world application and evaluation. Future research should concentrate on the real-case deployment and assessment of Coopetition IIoT-based Systems within coopetition networks.
Direct Excision of Malar Bags: Back to the Basics
Authors: Botti Giovanni , Botti Chiara , Fabbri Mariachiara , Mariani Marta , Murone Vittoria , Scucchi Benedetta , Serra Pietro Luciano 
Published: October 2024

Abstract
Introduction
The pursuit of periorbital rejuvenation to counteract signs of aging is a focal point in cosmetic surgery, with eyelid surgery being a prominent choice among patients. Addressing inferior blepharoplasty, especially in cases involving chronic malar edema, malar mounds, and festoons, presents unique challenges. The terminology and classification of these conditions vary, hindering effective management. In this study, we use the term “malar bags” to encompass the spectrum of fluid-associated mounds over the malar eminence.

Objectives
This study aims to demonstrate the effectiveness of direct excision as a surgical choice for treating the aesthetic concerns associated with malar bags.

Materials and Methods
A retrospective study was conducted on 53 patients who underwent direct excision of malar bags between 2013 and 2023 at our clinic.

Results
No major complications were encountered, overall high level of satisfaction for both patients and surgeons.

Conclusion
Direct excision of malar bags proved to be a safe and effective technique, yielding satisfactory results in terms of both aesthetic outcomes and patient satisfaction.

Level of Evidence III
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Investigation and kinetics of hydrogel scaffold with sustained release ciprofloxacin hydrochloride
Authors: Abou-Okeil A. , Taha Ghada M. 
Published: October 2024

AbstractControlled drug delivery is the mechanism that determines the frequency of the drug as well as the side effect that can be occurred. Many approaches studied the encapsulation of the drug in a polymer matrix to achieve a controlled released drug by the effect crosslinking network. In this work, a loaded hydrogel with ciprofloxacin hydrochloride has been prepared as an incremental effect on the antibacterial properties. So, four formulations named, hydrogel 1, hydrogel 2, hydrogel 3, and hydrogel 4 were prepared using different polymers concentrations (chitosan, gelatin, iota carrageenan (IC), and glutaraldehyde as crosslinking agents) ciprofloxacin hydrochloride was used as a drug model. The obtained data revealed that the hydrogels prepared from chitosan/gelatin/IC hydrogels are porous and have interconnected microstructures. The hydrogels structure was evaluated by ATR-IR spectroscopy, EDX, Swelling rate, SEM, porosity, antibacterial properties as well as drug release and kinetics. The hydrogels fractured at stresses of 0.1665 to 0.0358 Kgf / mm2. The swelling rates (SR %) after 24 h. were 412%, 362%, 383%, 375% and 407% for of hydrogel 1, hydrogel 2, hydrogel 3, hydrogel 4 and ciprofloxacin hydrochloride loaded hydrogel 1, respectively. The porosity of the prepared hydrogels was increased as the concentration of IC increased from 72.4 to 78%. Loading of ciprofloxacin hydrochloride was confirmed by the presence of fluorine in the EDX measurement. The ciprofloxacin hydrochloride loaded hydrogel 1 has a sustained release of ciprofloxacin hydrochloride over a time of about 10 h. The first-order kinetic model is the best model for the release of ciprofloxacin hydrochloride from the prepared ciprofloxacin hydrochloride loaded hydrogel 1 with a regression coefficient (R2) of 0.9814. The unloaded samples of hydrogels had almost the same antibacterial properties regardless of the amount of IC. Loading the hydrogel with ciprofloxacin hydrochloride has an incremental effect on the antibacterial properties.
Metal nitrides as electrocatalysts in green ammonia synthesis
Authors: Januszewska-Kubsik A. , Podsiadło S. , Pudełko W. , Siekierski M. 
Published: October 2024

AbstractGreen ammonia is assumed to be an important part of the European hydrogen economy and one of the most important substrates of chemical industry. The future development of its manufacturing processes can be related to the electrocatalytic studies yielding in the development of the catalytic materials that would effectively break the nitrogen-nitrogen bond to successfully drive the N2RR—a process of molecular nitrogen electroreduction to ammonia. Molecular nitrogen is characterized with strong triple bond energies (942 kJ/mol) which leading into large dissociation energy of N2 (9,76 eV) and also large energy barrier of the first step of triple bond dissociation 410 kJ/mol (4,25 eV). Those large energies makes reduction to ammonia an extremely difficult task. Metal nitrides of d and f block became in interest due to their activity in ammonia production from molecular nitrogen and hydrogen. Practically all the transition elements occurs in one of the four types of crystalline structures: regular, regular face cantered, hexagonal and hexagonal close packed. The reactions of these metals with nitrogen (or ammonia) typically yields in nitride compounds of an identical type of crystalline structure as the initial metal. Dealing with single metal systems, their ternary counterparts and metal–metal nitride heterostructures, the presented review shows that nitrides are promising groups of electrocatalytic materials. Being property-prone to their internal structural features such as non-stoichiometry and correlated concentration of nitrogen vacancies, metal nitrides are a good candidate for joined investigations spanned between electrochemistry, inorganic chemistry and material engineering.
Congenital diaphragmatic hernia and cleft lip and palate: looking for a common genetic etiology
Authors: Nord Petra , Ebanks Ashley H. , Peterson Petra , Iwarsson Erik , Harting Matthew T. , Burgos Carmen Mesas ,   For the Congenital Diaphragmatic Hernia Study Group
Published: October 2024

Abstract
Purpose
Congenital diaphragmatic hernia (CDH) and cleft lip and/or palate (CL/P) are inborn closure defects. Genetic factors in and outcomes for patients with both anomalies (CDH+CL/P) remain unclear. We aimed to investigate associated genetic aberrations, prevalence of, and outcomes for, CDH+CL/P.

Methods
Data from Congenital Diaphragmatic Hernia Study Group (CDHSG) registry were collected. CL/P prevalence in CDH patients was determined. Genetic abnormalities and additional malformations in CDH+CL/P were explored. Patient characteristics and outcomes were compared between CDH+CL/P and isolated CDH (CDH−) using Fisher’s Exact Test for categorical, and t-test or Mann–Whitney U-test for continuous, data. p < 0.05 was considered statistically significant.

Results
Genetic anomalies in CDH+CL/P included trisomy 13, 8p23.1 deletion, and Wolf-Hirschhorn syndrome (4p16.3 deletion). CL/P prevalence in CDH was 0.7%. CDH+CL/P had lower survival rates than CDH−, a nearly fourfold risk of death within 7 days, were less supported with extracorporeal life support (ECLS), had higher non-repair rates, and survivors had longer length of hospital stay.

Conclusion
Genetic anomalies, e.g. trisomy 13, 8p23.1 deletion, and Wolf-Hirschhorn syndrome, are seen in patients with the combination of CDH and orofacial clefts. CL/P in CDH patients is rare and associated with poorer outcomes compared to CDH−, influenced by goals of care decision-making.
Is it really descemetocele? Morphology of extremely thin membrane that remained after severe corneal melting: a case report
Authors: Mohamed Yasser Helmy , Uematsu Masafumi , Kusano Mao , Kitaoka Takashi , Nishida Teruo 
Published: October 2024

Abstract
The aim of this study was to report transmission electron microscopic findings of a case with whole corneal descemetocele following infective corneal ulcer for the first time in literature. A 72-year-old male patient presented with infective corneal ulcer. After resolution of the infection, corneoscleral transplantation was performed. The excised very thin corneal membrane was processed for transmission electron microscopic examination. Transmission electron microscopic examination of the specimen revealed many layered structures that consisted of two different types of cells. The first type consisted of lighter staining polygonal cells, while the second consisted of elongated cells with relatively dense staining. All cells were connected with a large number of gap or adherens junctions with intercalation of the cell membranes of adjacent cells. A haphazard distribution of cytoplasmic microfilaments were also observed in all of the cell types. There was no evidence of the presence of endothelial cells throughout the specimen. There was also no evidence of Descemet membrane presence except for a small part adjacent to iris tissue that contained some melanosomes. Although we clinically diagnosed descemetocele, Descemet membrane was not present at the electron microscopic level, and thus, the expression “descemetocele” is inappropriate.
CO2 and CH4 Concentrations in Headwater Wetlands Influenced by Morphology and Changing Hydro-Biogeochemical Conditions
Authors: López Lloreda Carla , Maze James , Wardinski Katherine , Corline Nicholas , McLaughlin Daniel , Jones C. Nathan , Scott Durelle , Palmer Margaret , Hotchkiss Erin R. 
Published: October 2024

AbstractHeadwater wetlands are important sites for carbon storage and emissions. While local- and landscape-scale factors are known to influence wetland carbon biogeochemistry, the spatial and temporal heterogeneity of these factors limits our predictive understanding of wetland carbon dynamics. To address this issue, we examined relationships between carbon dioxide (CO2) and methane (CH4) concentrations with wetland hydrogeomorphology, water level, and biogeochemical conditions. We sampled water chemistry and dissolved gases (CO2 and CH4) and monitored continuous water level at 20 wetlands and co-located upland wells in the Delmarva Peninsula, Maryland, every 1–3 months for 2 years. We also obtained wetland hydrogeomorphologic metrics at maximum inundation (area, perimeter, and volume). Wetlands in our study were supersaturated with CO2 (mean = 315 μM) and CH4 (mean = 15 μM), highlighting their potential role as carbon sources to the atmosphere. Spatial and temporal variability in CO2 and CH4 concentrations was high, particularly for CH4, and both gases were more spatially variable than temporally. We found that groundwater is a potential source of CO2 in wetlands and CO2 decreases with increased water level. In contrast, CH4 concentrations appear to be related to substrate and nutrient availability and to drying patterns over a longer temporal scale. At the landscape scale, wetlands with higher perimeter:area ratios and wetlands with higher height above the nearest drainage had higher CO2 and CH4 concentrations. Understanding the variability of CO2 and CH4 in wetlands, and how these might change with changing environmental conditions and across different wetland types, is critical to understanding the current and future role of wetlands in the global carbon cycle.
Adverse selection and consumer inertia: empirical evidence from the Dutch health insurance market
Authors: Croes Ramsis R. , Schut Frederik T. , Varkevisser Marco 
Published: October 2024

AbstractThis paper examines to what extent consumer inertia can reduce adverse selection in health insurance markets. To this end, we investigate consumer choice of deductible in the Dutch health insurance market over the period 2013–2018, using panel data based on a large random sample (266 k) of all insured individuals in the Netherlands. The Dutch health insurance market offers a unique setting for studying adverse selection, because during annual open enrollment periods all adults are free to choose an extra deductible up to 500 euro per year. By focusing on deductible choices of those who do not switch health plans, we are able to examine the ‘pure’ adverse selection effect (i.e., not distorted by other health plan attributes). We estimate a dynamic logit model to examine individuals’ deductible choice. We find evidence of adverse selection, as people with higher previous health care cost are substantially less likely to take up or keep a 500-euro deductible. We also find that adverse selection is counteracted by a high level of consumer inertia, as the average partial effect on deductible choice of the previous selected deductible level is much larger than the average partial effect of a change in health care costs.
Stochastic hazard assessment framework of landslide blocking river by depth-integrated continuum method and random field theory
Authors: Jiang Shui-Hua , Li Jian-Ping , Ma Guotao , Rezania Mohammad , Huang Jinsong 
Published: October 2024

Abstract
Landslide-induced barrier dams pose a threat to the safety of humans, livestock and nearby infrastructures. The efficient assessment of landslide blocking river is crucial for disaster prevention and mitigation solutions. This study proposes a novel stochastic assessment framework to evaluate the landslide blocking river through the prediction of their deposition depths and considering the heterogeneity of shear strength parameters on the potential sliding surface. The depth-integrated continuum method (DICM) is used to simulate the landslide runout process. Using an enhanced Karhunen-Loève expansion (KLE) method, the spatial variations in soil's shear strength parameters are modeled by random fields to incorporate the effects of soil's spatial heterogeneity on the landslide deposition pattern. Subsequently, the multi-response surrogate model is constructed to relate the random field variables to the deposition depths based on extreme gradient boosting (XGBoost). To improve the performance of the surrogate model, principal component analysis (PCA) and sliced inverse regression (SIR) methods are employed for the dimension reduction of output and input variables, respectively. Furthermore, the algorithm for river blockage identification is developed to search for the deposition ridges. To demonstrate the capability of the stochastic assessment framework, an example of the first Baige landslide in Tibet, China is simulated, and the affected region and deposition depths of the landslide are predicted to calculate the probability of river damming. The presented methodology provides a practical means for improving the landslide blocking river prediction and new insights for early warning and risk mitigation.
“It’s [gambling] obviously not regulated that well”: insights into Aboriginal peoples’ views on gambling regulation in the Northern Territory of Australia
Authors: Gupta Himanshu , Tari-Keresztes Noemi , Aanundsen David , Smith James A. 
Published: October 2024

Abstract
Aim
This study is the first in-depth qualitative study that has provided insights into Aboriginal (All participants in this study identified as Aboriginal and thus we have not included any reference to the Torres Strait Islander peoples in this paper.) people’s views on current gambling policy and legislation in the Northern Territory (NT), Australia.

Subject and methods
In-depth semi-structured qualitative interviews were conducted with a targeted selection of participants. The sample comprised 29 participants, aged 18+ years, weekly and nonregular gamblers, and those negatively affected by others’ gambling. An open coding technique (a combination of inductive and deductive analyses) was used for data analysis. Appropriate ethics approval was also obtained.

Results
Participants described gambling as a revenue-generating product for the government and the gambling industry. Hence, their role in influencing the regulation of gambling for public benefit was debated. Participants provided practical suggestions that the government and the gambling industry could adopt to inform gambling regulation to minimise harm from gambling among Aboriginal people and the wider community in the NT. The suggestions included establishing stricter regulations relating to the licensing and opening hours of venues, limiting bet size and restricting the availability of gaming machines at venues. Participants also encouraged the reinstatement of mandatory formal dress codes at venues and the creation of health promotion resources such as advertisements and awareness campaigns tailored to the needs of the local Aboriginal people.

Conclusion
Both community-wide and targeted approaches are required to regulate and reduce gambling harm among Aboriginal people in the NT. Although both are important, having more explicit preventive approaches in place may eliminate the need for downstream interventions and strategies.
Remote Online-exam Dishonesty in Medical School during COVID-19 Pandemic: A Real-world Case with a Multi-method Approach
Authors: Pongchaikul Pisut , Vivithanaporn Pornpun , Somboon Nanthicha , Tantasiri Jitpisuth , Suwanlikit Thanyarat , Sukkul Amornrat , Banyen Taddaw , Prommahom Athinan , Pakakasama Samart , Ungkanont Artit 
Published: October 2024

AbstractThe COVID-19 pandemic significantly impacted medical education, causing a shift towards online learning. However, this transition posed challenges in administering online assessments, particularly in proctoring and detecting academic misconduct. This study aimed to investigate the prevalence of academic misconduct among medical students during remote online examinations using hierarchical clustering and comparing self-reported confessions and recorded video reviews. The results of the study confirmed the existence of academic misconduct in remote online examinations, as evidenced by both self-report and video footage review. Hierarchical clustering was able to predict academic misconduct with an accuracy rate of approximately 55%. These findings highlight the need for medical educators to develop and implement ethics and morality-focused courses to address the issues of dishonesty among medical students in online assessments. In conclusion, this study shed light on the challenges of remote online assessments in medical education, particularly in detecting academic misconduct. Using a data-driven approach to analyse the prevalence of academic misconduct, this work provided insights into the need for ethical and moral education in medical curricula, which can help address the dishonesty among medical students during online assessments.
In situ observation and numerical analysis of temperature gradient effects on growth velocity during directional solidification of silicon
Authors: Hao Peiyao , Chuang Lu-Chung , Maeda Kensaku , Nozawa Jun , Morito Haruhiko , Fujiwara Kozo , Zheng Lili 
Published: October 2024

AbstractThe < 110 > directional solidification of silicon under varying overall temperature gradients was investigated using an in situ observation system. The growth velocity of an atomically rough interface was found to decrease with increasing temperature gradient. A theoretical model of the thermal field taking undercooling into account was developed to describe this phenomenon and was demonstrated to be valid. The results of this work indicate that the reported linear relationship between growth velocity (V) and undercooling (ΔT), given by V (mm s−1) = 120ΔT (K), is most accurate in the case of a rough interface. In the case that the overall temperature gradient is small, the melting point isotherm moves rapidly such that it becomes more difficult for the interface to keep pace with the isotherm compared with a large temperature gradient. This effect leads to increased undercooling at the interface and consequently a rapid growth velocity. Thermal field calculations confirm that a rapid increase in the ratio of the temperature gradient in the crystal to that in the melt should increase the latent heat release, again providing a more rapid growth velocity.