bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patterns of ultra-processed foods consumption throughout childhood and trajectories of growth and adiposity
Authors: Magalhães Vânia , Severo Milton , Vilela Sofia , Torres Duarte , Lopes Carla 
Published: December 2023

Abstract
Background: Ultra-processed foods (UPF) consumption has been associated with unhealthy outcomes. However, the literature lacks robust longitudinal studies considering its cumulative effect, particularly in young populations. This study aimed to evaluate the relationship between UPF consumption patterns throughout childhood with growth and adiposity trajectories.
Methods:Participants from the Generation XXI population-based birth cohort (Porto, Portugal) were included. Food frequency questionnaire items at 4, 7 and 10 years were classified according to the processing degree using the NOVA classification. UPF consumption patterns were identified using a probabilistic Gaussian mixture model using participants with complete data and predicting for the total sample (n=8647).
To assess whether the outcome trajectories from 4 to 13 years of age [body weight, height, body mass index (BMI) z-score, waist circumference (WC) and fat mass percentage (FM%)] depend on the UPF patterns, a mixed-effects model with linear and quadratic terms for age and adjusted for confounders was used. Participants with at least one measurement at 4, 7, 10 or 13 years were included in this study (n range: 5885-6272).
Results: Four UPF consumption patterns were identified: constantly lower consumption(15.4%), constantly intermediate consumption (56.4%), transition from low to high consumption (17.2%), and constantly higher consumption(17.1%). Compared to the constantly lower UPF consumption, the constantly higher consumption pattern was associated with greater acceleration in body weight (β: 0.119; 95%CI: 0.027;0.212), BMI z-score (β: 0.014; 95%CI: 0.004;0.023), WC (β: 0.232; 95%CI: 0.144;0.319) and FM% (β: 0.200; 95%CI: 0.092;0.308) and with lower acceleration in height (β: -0.063; 95%CI: -0.111;-0.015). The constantly intermediate UPF consumption pattern was associated with greater acceleration in body weight (β: 0.123; 95%CI: 0.043;0.203), WC (β: 0.120; 95%CI: 0.045;0.195) and FM% (β: 0.146; 95%CI: 0.054;0.238).
Conclusions: Constantly higher and constantly intermediate UPF consumption throughout childhood were associated with worse growth and adiposity trajectories until adolescence.
Prediction of repeat fragility fractures: Application of machine learning
Authors: Zabihiyeganeh Mozhdeh , Mirzaei Alireza , Tabrizian Pouria , Rezaee Aryan , Sheikhtaheri Abbas , Kadijani Azade Amini , Kadijani Bahare Amini , Kia Ali Sharifi 
Published: December 2023

Abstract
Background
Despite the exceptional performance of machine learning (ML) in modern medical research, it is rarely used for repeated-fracture prediction in osteoporotic patients. In this study, we aim to evaluate the predictive capability of various ML models and introduce features that are more relevant to repeated fragility fracture in osteoporotic patients.
Methods
Fragility fracture patients who were referred to our Fracture Liaison Service were divided into the index fragility fracture (n = 905) and repeated fragility fracture groups (n = 195). Twenty-seven features were used for model training in males and females separately. The ML models included random forest, XGBoost, CatBoost, logistic regression, LightGBM, AdaBoost, multi-layer perceptron, and support vector machine. A 10-fold cross-validation approach was used to assess the performance of the models.
Results
In almost all the feature sets, CatBoost had the best performance with a maximum area under the curve and accuracy of 0.951 and 87% for the female group and 0.990 and 93.4% for the male group, respectively. Age, CRP, vitamin D3, creatinine, blood urea nitrogen (BUN), parathyroid hormone (PTH), femoral neck Z-score, menopause age, number of pregnancies, phosphorus, calcium, and body mass index had the highest contribution in the female group and CRP, femoral neck T-score, PTH, Hip T-score, BMI, BUN, creatinine, alkaline phosphatase, and spinal Z-score had the highest contribution in the male group.
Conclusion
ML models, particularly CatBoost, are promising tools for the prediction of repeat fragility fracture in osteoporotic patients. These models can help clinicians to implement personalized strategies to prevent repeat fragility fractures in the future.
Understanding the Factors Influencing Extended Producer Responsibility in Indonesia
Authors: Widyarsana I Made Wahyu , Nurawaliah Hanifah 
Published: December 2023

Abstract
Extended Producer Responsibility (EPR) of Electronic Waste (e-waste) in Indonesia urgently needs comprehensive and enforceable regulations that hold the producers to have responsibility for the entire lifecycle of electronic products, ensuring proper management, and disposal. This study focuses on analyzing factors influencing the EPR of e-waste and emphasizes the critical need for such analysis in building enforceable regulations. This study utilizes the Analytic Network Process (ANP) to analyze the influencing factors. Key stakeholders, including experts, government officials, waste management authorities, producers, consumers, and academics, were involved as respondents. Data collection involved interviews and questionnaires. The study’s findings reveal that administrative instruments are considered a priority factor in the implementation of EPR for e-waste (0.368), followed closely by economic factors (0.362) and informative factors (0.271). Specifically, the collection aspect of administrative instruments emerges as the most dominant factor (0.387). In terms of economic and informative instruments, priority factors include product development subsidies (0.278) and awareness campaigns targeting producers (0.332). Furthermore, all respondents prefer to involve producer responsibility organizations in the EPR mechanism (0.343). By understanding the significant influencing factors, policymakers can focus on strengthening administrative instruments, offering economic incentives, and enhancing information dissemination. The involvement of producer responsibility organizations also emerges as a crucial aspect of effective EPR of e-waste implementation in Indonesia.
Enhancing Recommendation Systems through Heterogeneous Graph Convolution Networks with Multiple Feature Aggregation and Attention Mechanism
Authors: Donovan Samuel , Carter Daniel , Anderson Grace , Brown Silas 
Published: December 2023

Abstract
The intersection of heterogeneous graph neural networks has emerged as an innovative modeling paradigm for comprehensively capturing the intricate nature of diverse information networks. However, the conventional landscape of GNN-based recommendation algorithms faces inherent challenges. These algorithms are conventionally tailored to manage regular topological graphs consisting of single-type nodes, thereby limiting their adaptability in contemporary networks where data is characterized by a myriad of node types. To tackle these challenges and bridge existing gaps, this paper presents a pioneering approach by seamlessly integrating graph neural networks with heterogeneous networks, thereby introducing a sophisticated deep recommendation model. This model seeks to thoroughly exploit the intrinsic value of graph-structured data in personalized recommendations, aiming to significantly elevate the performance of recommendation systems. By fusing the capabilities of graph neural networks with heterogeneous networks, the proposed deep recommendation model strives to not only address the limitations of current methods but also to propel the capacities of personalized recommendation systems to new heights.
Sensation Seeking and Internet Addiction in Adolescents: Moderating and Mediating Mechanisms
Authors: Li Qi , cao lei , Lai Xinyu , Tao Ran , Xiao Jing , Hou Xiaowen , Zhang Yiwen , Dai Bibing , Hu Kesong 
Published: December 2023

Abstract
Background
Sensation seeking may lead to Internet abuse. This study aimed to investigate whether sensation-seeking behavior in adolescents is linked to Internet addiction and, if so, how this relationship is influenced by self-control and emotion-focused coping.
Methods
A total of 416 adolescents completed inventories on sensation-seeking, self-control, and emotion-focused coping.
Results
Our findings suggest that the Disinhibition and Boredom Susceptibility subcomponents of sensation-seeking behavior predicted Internet addiction, which was further mediated by emotion-focused coping. Specifically, adolescents with low levels of self-control had higher scores on emotion-focused coping and Internet addiction, supporting a moderating and mediating model.
Conclusion
Our results are consistent with the Interaction of Person-Affect-Cognition-Execution model and suggest that sensation-seeking behavior and Internet addiction are best understood in the context of self-control and emotion-focused coping. We discuss the implications of these moderating and mediating mechanisms.
Minimally Invasive Left Colectomy with Total Intracorporeal Anastomosis versus Extracorporeal Anastomosis. A single center cohort study. Stage 2b IDEAL framework for evaluating surgical innovation
Authors: Serra-Aracil Xavier , Gómez-Torres Irene , Torrecilla-Portoles Andrea , Serracant-Barrera Anna , Garcia-Nalda Albert , Pallisera-Lloveras Anna 
Published: December 2023

Abstract

Purpose
Performing intracorporeal anastomoses in minimally invasive colon surgery appears to provide better short-term outcomes for patients with colon cancer. The aim of the study is to compare surgical aspects and short-term outcomes between intracorporeal and extracorporeal techniques in left colectomies with both laparoscopic and robotic approaches and evaluate advantages and disadvantages of intracorporeal anastomosis according to IDEAL framework (Exploration, stage 2b).
Methods
This is a single center, ambispective cohort study comparing total intracorporeal anastomosis (TIA) and standard surgery with extracorporeal anastomosis (EA). Patients with colon cancer treated by left colectomy, sigmoidectomy and high anterior resection by total intracorporeal anastomosis between May 2020 and January 2023 without exclusion criteria were prospectively included in a standardized database. Short-term outcomes in the group undergoing TIA were compared with a historical EA cohort. The main assessment outcomes were intraoperative complications, postoperative morbidity according to the Clavien-Dindo scale and the comparison of pathological. We conducted a preliminary comparative study within the TIA group between approaches, a primary analysis between the two anastomotic techniques, and a propensity score matched analysis including only the laparoscopic approach, between both anastomotic techniques.
Results
Two hundred and forty-six patients were included: 103 who underwent TIA, thirty-five of them with laparoscopic approach and 68 with robotic approach, and a comparison group comprising another 103 eligible consecutive patients who underwent laparoscopic EA. There were no statistically significant differences between the two groups in terms of demographic variables. No statistically significant differences were observed in anastomotic dehiscence. Intraoperative complications appear to be fewer in the TIA group, with a higher inflammatory response. Relevant anastomotic bleeding and the number of retrieved lymph nodes seem to be higher in EA group. Nevertheless, no differences were observed in terms of overall morbidity.
Conclusion
Minimally invasive left colectomy with intracorporeal resection and anastomosis is technically feasible and safe suing either a laparoscopic or a robotic approach. Clinical data from this cohort demonstrate outcomes comparable to those achieved through the conventional EA procedure in relation to postoperative morbidity and oncological efficacy, with indications suggesting that the utilization of robotic-assisted techniques may play a contributing role in enhancing overall treatment outcomes.
Sub-anaesthetic doses of Esketamine ameliorate memory impairment in Alzheimer's disease by regulating the BDNF/AKT/mTOR signaling pathway in rats
Authors: Wang Chengzhi , Xu Fan , Yu Xinran , Yang Jianhui , Guo Dongyong , Gan Jianhui 
Published: December 2023

Abstract
Backgroud In this study, we aimed to investigate the effect and mechanism of action of Esketamine on Alzheimer's disease (AD) related memory impairment. Methods and Results We investigated the effect of Esketamine on an STZ and D-galactose(D-gal)-induced AD model in rats. After the Morris water maze tested the learning and spatial memory ability, the Western-blot method detected the contents of phosphorylated AKT (p-AKT) and phosphorylated mTOR (p-mTOR) in the hippocampus. HE staining was used to observe the pathological changes in the CA3 region of the hippocampus, the expression of BDNF was detected by immunohistochemistry, and ELISA detected the contents of Aβ42 and phosphorylated tau protein (p-tau). Taking Esketamine after treatment, 1 the Results of MWM: the escape latency of the mice was shortened, and the number of crossing the platform was increased; 2 Western blot results: the expression of p-AKT and p-mTOR was up-regulated. 3 HE results: cell number increase, more closely, deep into the nucleus is still visible; 4 Immunohistochemical results showed that the expression of BDNF increased; 5 ELISA results: decreased levels of Aβ42 and p-tau. Conclusions Sub-anesthetic dose of Esketamine can reduce the level of Aβ42 and the hyperphosphorylation of tau protein through BDNF/AKT/mTOR pathway in AD rats, thereby reducing the neuropathological damage of the hippocampus and improving the learning and spatial memory ability.
Spectroscopic techniques for the characterization of the potsherds from Tigranakert in Artsakh
Authors: Keheyan Yeghis , Lanterna Giancarlo , Petrosyan Hamlet , Vardanesova Tatjana 
Published: December 2023

Abstract

Archaeometry and archaeological science correspond and refer to the application of scientific techniques to the analysis of archaeological materials, as well as the processes involved in their manufacture [Williams 2005, Virgil de la Mencia 2008, Martinon-Torres 2015]1–3]. This paper presents study of a set of ceramic samples using stratigraphic analysis coupled with SEM/EDX technique. Ceramic materials provide information on the clay materials employed in their manufacture [Hradil et al 2018, Giannosa et al 2020]4,5], hence facilitating the assignment of their autochthonous or allochthonous character [6–8]. Analysis of the cross section provides to the stratigraphic evaluation of the ceramic body (holes, cavities, imperfections, granulometry, inclusions and color), the glaze or other superficial layers (enamels, transparency or opacity, color and saturation, defects and other): SEM/EDX technique allows obtain information on the samples (texture and microstructure, phases and minerals recognition by electron backscattered diffraction, all these analysis are carried out simply tacked a very small fragment from the surface, including glaze and ceramic body (less than a couple mm), embedded in polyester resin and grinded and polished without destruction of the specimen.
Twitter as a Lens for Crime Analysis: A Comprehensive 4W Model for Identifying Crime Patterns and Insights
Authors: Kuhaneswaran Banujan , S.P.C.W Sandagiri , S. Kumara B. T. G. , Li Zhenni 
Published: December 2023

Abstract

The increased ubiquity of social media platforms in recent years has made them a viable data source for various purposes, including crime investigation. This research introduces a unique criminal analysis framework built on the 4W model (What, Where, When, and Who) to assess crime-related actions utilising Twitter. By leveraging machine learning techniques, our approach extracts detailed information about individual crime incidents, such as type of crime, location, time, and individuals involved. This paper describes the complete methodology, including data collection, preprocessing, feature extraction, model development, and evaluation processes. We utilised the LSTM deep learning model for detecting crime-related Tweets, followed by applying the proposed 4W model. Our results demonstrate the potential of the proposed framework to provide valuable insights that can inform the development of targeted crime prevention strategies and interventions. This study contributes to the growing body of research on leveraging social media data for crime analysis, ultimately promoting safer communities.
Novel Dynamic Shaping Artificial Intelligence- Based Fault Location Determination Using Unsynchronized Measurements of Power Transmission Lines
Authors: Rizk-Allah Rizk M. , ELkalashy Nagy I. , Eldesoky Islam M. , Ayad Ahmed N. 
Published: December 2023

Abstract
Accurately locating faults that occur in transmission lines is a very urgent process for reliable guidance of the power grid system. This process acquires synchronized measurements of voltage and current at the instance of fault, and this is more complex in practical application. For this reason, this work produces a fault location (FL) estimation smart and high-quality approach for a 138-mile transmission line (TL) using machine learning techniques depending on unsynchronized data. The line-to-ground fault cases are considered an example of the proposed algorithm; however, it can be generalized for the applications of the other fault types. The work is divided into two main axes, the first axis is to utilize unsynchronized measurements for the candidate work by shifting voltage and current angles, while the other axis is to utilize a smart novel feed-forward artificial neural network (FFN) of changeable configuration adapted depending upon the nature of the studied problem. For a fair evaluation of the work, a comparison process with (FFN) based on the k-fold cross-validation technique and random forest (RF) methods is implemented. Whereas the proposed method has proven to be more highly efficient and accurate in predicting the location of the fault than others.
Outcome 10 years after Shigatoxin-producing E. coli (STEC)-associated Hemolytic Uremic Syndrom: importance of long-term follow up
Authors: Rosales Alejandra , Kuppelwieser Sarah , Giner Thomas , Hofer Johannes , Khursigara Magdalena Riedl , Orth-Höller Dorothea , Borena Wegene , Cortina Gerard , Jungraithmayr Therese , Würzner Reinhard 
Published: December 2023

Abstract
Background
Hemolytic uremic syndrome (HUS) is an important cause of acute kidney injury in children. HUS is known as an acute disease followed by complete recovery in most cases, but patients may still present kidney abnormalities after long periods of time. This study was performed to evaluate the long-term outcome of Shigatoxin-producing Escherichia coli-associated HUS (STEC-HUS) in pediatric patients, 10 years after the acute phase of disease and identify risk factors for long-term sequelae.
Methods
619 patients under 18 years of age with HUS (490 STEC-positive, 79%) were registered in Austria and Germany over a 6-year period. The data of 138 STEC-HUS-patients was available after 10 years for analysis.
Results
Sixty-six% (n = 91, 95%CI0.57-0.73) of patients fully recovered showing no sequelae after 10 years. Thirty-four% (n = 47, 95%CI0.27-0.43) presented either with decreased glomerular filtration rate (24%), proteinuria (23%), hypertension (17%) or neurological symptoms (3%). Sixty-four% (n = 30) had sequelae 1 year after STEC-HUS, the rest presented sequelae unprecedented at the 2-year (n = 2), 3-year (n = 3), 5-year (n = 3) or 10-year (n = 9) follow-up. 17 patients (36.2%) without sequelae at 1-year follow-up presented kidney symptoms after a period of apparent total recovery, half of these (n = 9) between 5 and 10 years after STEC-HUS. Patients needing extracorporeal treatments during the acute phase were at higher risk of presenting symptoms after 10 years (p < 0.05).
Conclusions
Patients with STEC-HUS should be followed up regularly and for at least up to 10 years after the acute phase of disease, because long-term sequelae can still occur at that time. Characteristics that may help predict poor long-term outcome are an initial critical illness, marked by need of kidney replacement therapy or plasma treatment.
Unravelling protein corona formation on pristine and leached microplastics
Authors: Dawson Amanda Louise , Bose Utpal , Ni Dongdong , Nelis Joost Laurus Dinant 
Published: December 2023

Abstract
Upon entering the environment, the surface properties of pristine plastics are rapidly altered due to interactions with exogenous biomolecules, contaminants, and even microbiota, which ultimately alter their ecological impacts. When present in biological fluids or high protein environments, micro(nano)plastics bind with proteins, which form a protein corona around the particle. Although a significant body of literature exists on protein corona formation on nanomaterials, less is known about how the physiochemical properties of microplastics may influence protein corona formation. This study utilises quantitative proteomics to quantify protein binding to pristine and leached microplastics. Pristine polyethylene (PE) beads (50 and 500µm), polyamide (PA) fibres (100µm), polyethylene terephthalate fibres (500µm), and fragments (<300µm), as well as pristine and leached textile microfibres comprised of PET, recycled PET, PA or cotton were incubated for 24 hours in bovine serum albumin solution (2mg mL-1) to form a protein corona. Protein adsorption to microplastics was dependant on particle surface area to volume ratio but only when additives were absent. For environmentally relevant textile microfibres, cotton microfibres adsorbed significantly more protein than synthetic microfibres. Fourteen-day aqueous leaching increased the surface charge of all microfibres. However, only PA fibres adsorbed significantly higher protein on the leached fibres compared to their pristine counterparts. Overall, the presence of chemical additives in microplastics strongly influenced protein corona formation, and this phenomenon should be incorporated into routine microplastic toxicity assessment.
Task effects on event-related potentials to single letters and pseudoletters
Authors: Hildebrand Andrew-John I. , Rowe Jacob , Takai Osamu , Toussi Nima , Herdman Anthony T. 
Published: December 2023

Abstract

Previous event-related potentials (ERP) studies examining of orthographic processing have reported N1 results that are incompatible with one another, some reporting larger N1 responses to letters and some reporting larger and broader N1 responses to pseudoletters. Conflicting results may be due to different tasks, which required different cognitive demands and thus resulted in different ERPs. Our study compared the ERPs of 20 participants across three different tasks: mixed viewing of letters and pseudoletters, blocked viewing of letters and pseudoletters, and 1-back memory tasks. We evaluated the timing, amplitude, and hemispheric dominance/laterality of the early ERP components (e.g., N1) to letter and pseudoletter stimuli. Results showed the same significant ERP differences between letters and pseudoletters across all tasks. This indicated that letter processing may be independent of the tasks employed and that the early ERPs for orthographic processing appear not to be not altered by volitional control or task demands used in this study.