bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards an automatic early screening system for autism spectrum disorder in toddlers based on eye-tracking
Authors: Fernandez-Lanvin Daniel , Gonzalez-Rodriguez Martin , De-Andres Javier , Camero Raquel 
Published: December 2023

AbstractAccording to official estimations, autism spectrum disorder (ASD) affects around 1% of European newborns. The high level of dependency of ASD-affected subjects entails an extremely high social and economic cost. However, early intervention can drastically improve children’s development and thus reduce their dependency. One of the main common characteristics of subjects with ASD is difficulties with social interaction, which determines how they react to certain stimuli. This behavior can be automatically detected by analyzing their gaze. This study explores and evaluates the feasibility of automatic screening for ASD in toddlers under 24 months of age based on this specific behavior. We applied a matched pairs experimental design and a set of test videos, using a set of variables extracted from gaze analysis from toddlers using eye-tracking devices. The different videos try to capture social engagement, social information gathering gaze exchanges, and gaze following. We used the data to make a thorough comparison of machine learning algorithms (nine learning schemes), including some that were used in related prior research, and others that are popular in classification problems. The results show that several of the tested algorithms provided notable performance.
Precision of grain yield monitors for use in on-farm research strip trials
Authors: Gauci A. A. , Fulton J. P. , Lindsey A. , Shearer S. A. , Barker D. , Hawkins E. M. 
Published: December 2023

AbstractOn-farm research (OFR) has become popular as a result of precision agriculture technology simplifying the process and farm software capabilities to summarize results collected through the technology. Different OFR designs exists with strip-trials being a simple approach to evaluate different treatments. Common in OFR is the use of yield monitors to collect crop performance data since yield represents a primary response variable in these type studies. The objective was to investigate the ability of grain yield monitoring technologies to accurately inform strip trials when frequent yield variability exists within an experimental unit. A combination of six sub-plot treatment resolutions (TR) that differed in length of imposed yield variation (7.6, 15.2, 30.5, 61.0, 121.9, and 243.8 m) were harvested at combine ground speeds of 3.2, 6.4, 7.2, and 8.1 kph, depending on study site (three study sites total). Intentional yield differences in maize (Zea mays L.) were created for each sub-plot by alternating the amount nitrogen (N) applied: 0 or 202 kg N/ha. Yield was measured by four commercially available yield monitoring (YM) technologies and a weigh wagon. Comparisons were made between the accumulated mass of the YM technology and weigh wagon through percent differences along with testing the significance of the plotted relationship between YM and weigh wagon. Results indicated that yield monitoring technology can be used to evaluate strip trial performance regardless of yield frequency and variability (error < 3%) within an experimental unit when operating within the calibrated range of the mass flow sensor. Operating outside of the calibrated range of the mass flow sensor resulted in > 15% error in estimating accumulated weight and overestimation of yield by 23%. Finally, no significant differences existed in estimating accumulated weight values between grain yield monitor technologies (all p-values ≥ 0.54).
Thing Artifact-based Design of IoT Ecosystems
Authors: Maamar Zakaria , Faci Noura , Al-Khafajiy Mohammed , Dohan Murtada 
Published: December 2023

AbstractThis paper sheds light on the complexity of designing Internet of Things (IoT) ecosystems where a high number of things reside and thus must collaborate despite their reduced size, restricted connectivity, and constrained storage limitations. To address this complexity, a novel concept referred to as thing artifact is devised abstracting the roles that things play in an IoT ecosystem. The abstraction focuses on 3 crosscutting aspects, namely functionality in terms of what to perform, life cycle in terms of how to behave, and interaction flow in terms of with whom to exchange. Building upon the concept of data artifact commonly used in data-driven business applications design, thing artifacts engage in relations with peers to coordinate their individual behaviors and hence avoid conflicts that could result from the quality of exchanged data. Putting functionality, life cycle, interaction flow, and relation together contributes to abstracting IoT ecosystems design. A system implementing a thing artifact-based ecosystem along with some experiments is presented in the paper as well.
Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data
Authors: Li Junchen , Lin Sijie , Zhang Liang , Liu Yuheng , Peng Yongzhen , Hu Qing 
Published: December 2023

AbstractEfficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment operations. In this study, we aimed to develop an integrated method for predicting effluent COD and NH3 levels. We employed a 200 L pilot-scale sequencing batch reactor (SBR) to gather multimodal data from urban sewage over 40 d. Then we collected data on critical parameters like COD, DO, pH, NH3, EC, ORP, SS, and water temperature, alongside wastewater surface images, resulting in a data set of approximately 40246 points. Then we proposed a brain-inspired image and temporal fusion model integrated with a CNN-LSTM network (BITF-CL) using this data. This innovative model synergized sewage imagery with water quality data, enhancing prediction accuracy. As a result, the BITF-CL model reduced prediction error by over 23% compared to traditional methods and still performed comparably to conventional techniques even without using DO and SS sensor data. Consequently, this research presents a cost-effective and precise prediction system for sewage treatment, demonstrating the potential of brain-inspired models.
A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference
Authors: Salgotra Rohit , Sharma Pankaj , Raju Saravanakumar , gandomi Amir H. 
Published: December 2023

AbstractOptimization is a method which is used in every field, such as engineering, space, finance, fashion market, mass communication, travelling, and also in our daily activities. In every field, everyone always wants to minimize or maximize something called the objective function. Traditional and modern optimization techniques or Meta-Heuristic (MH) optimization techniques are used to solve the objective functions. But the traditional optimization techniques fail to solve the complex and real-world optimization problem consisting of non-linear objective functions. So many modern optimization techniques have been proposed exponentially over the last few decades to overcome these challenges. This paper discusses a brief review of the different benchmark test functions (BTFs) related to existing MH optimization algorithms (OA). It discusses the classification of MH algorithms reported in the literature regarding swarm-based, human-based, physics-based, and evolutionary-based methods. Based on the last half-century literature, MH-OAs are tabulated in terms of the proposed year, author, and inspiration agent. Furthermore, this paper presents the MATLAB and python code web-link of MH-OA. After reading this review article, readers will be able to use MH-OA to solve challenges in their field.
Current status of Complementary and Alternative Medicine Interventions in the Management of Pancreatic Cancer – An Overview
Authors: Tarasiuk Aleksandra , Mirocha Grzegorz , Fichna Jakub 
Published: December 2023

Opinion statementPancreatic cancer (PC) remains the deadliest cancer worldwide. Most patients are diagnosed at the advanced or metastatic stage, leading to a poor prognosis. Awareness of the limitations of current therapy and accompanying pain, depression, malnutrition, and side effects of chemoradiotherapy may lead patients and physicians towards complementary and alternative medicine (CAM). CAM refers to a diverse set of medical and healthcare practices, products, and systems that are not part of conventional Western medicine. Despite the low-quality evidence supporting the efficacy of these methods, they remain appealing due to patients' beliefs, fear of death, and the slow development of conventional therapy. Hence, the possibility of using natural products for pancreatic cancer is increasing. CAM options such as: medical cannabis, plants, fungi, herbal formulas, and injections, which originate primarily from traditional Chinese or Japanese medicine i.e. Curcuma longa, Panax ginseng, Poria cocos, Hochuekkito, Juzentaihoto, and Rikkunshito, Shi-quan-da-bu-tang/TJ-48, Huang-qin-tang, Shuangbai San, Wen Jing Zhi Tong Fang, Xiang-Sha-Liu-jun-zi-tang, Aidi injection, Brucea javanica oil emulsion/Yadanziyouru injection, Compound Kushen injection, Huachansu injection, Kangai injection and Kanglaite injections are becoming promising candidates for the management of pancreatic cancer. The abovementioned substances/medications are the most popular or potentially effective in PC treatment and consequently CAM-based adjuvant therapy through improving patients’ quality of life, might be a useful addition in the treatment of pancreatic cancer patients.
Cathodic protection shielding of coated buried pipeline
Authors: Meroufel Abdelkader , Gordon Andrew , Thierry Dominique 
Published: December 2023

AbstractDuring the 2000s, the concept of cathodic protection (CP) shielding was first raised in open literature and remains debated between coatings professionals. The mechanism of CP shielding, and its understanding continue to be studied for different coatings with different approaches and using various techniques. From the CP shielding factors to the assessment methods, the published literature merits a deep analysis to capture the established knowledge and identify the research gaps to further tackle the issue for reliable coated buried structures. A holistic approach to this topic seems necessary where coatings ageing, cathodic protection, electrochemistry, and transport processes should be considered. In the first part of the present review, the recent works related to the understanding of CP shielding, coatings properties were considered before discussing the mechanisms involved underneath coatings. Transport phenomena and their relationship with cathodic protection performance in the presence of chemical and microbiological processes are discussed in the second part. Finally, CP shielding assessment methods and modeling works are presented and discussed from different perspectives.
Perspectives of Women with Intellectual Disabilities Regarding Affective Sexual Relationships: a Systematic Literature Review
Authors: Beltran-Arreche Maialen , Fullana Noell Judit , Pallisera Díaz Maria 
Published: December 2023

Abstract
Introduction
Despite the recognition of the right to sexual identity and expression for all people, individuals with intellectual disabilities continue to face significant restrictions in these aspects of their lives. The prevailing myths and stereotypes surrounding their sexual-affective relationships place people with intellectual disabilities—especially women—in a position of great vulnerability.

Methods
A systematic literature review was conducted, examining the content of the following databases: BASE, Dialnet, ERIC, La Referencia, Microsoft Academic, Redalyc, REDIB, Redined, Science Direct, Scopus, Web of Science, and World Wide Science. A total of 178 potentially relevant articles were identified, out of which 11 met the eligibility criteria. Finally, the themes covered in the articles were identified and analyzed.

Results
The results obtained were classified into six categories: perceptions regarding sex and sexuality, experiences of abuse, views and experiences of relationships between couples, the LGTBIQ + community, knowledge about contraception and related experiences, and, finally, beliefs regarding gender scripts.

Conclusions
This study offers valuable insights into the knowledge (or lack thereof) and beliefs regarding sex and sexuality, experiences of abuse among women with intellectual disabilities, the lack of independence and external intervention, and the influence of traditional gender scripts. Furthermore, this research also establishes a theoretical foundation for future support resources and initiatives, as well as social and public implications.
Materiaalgebruik in de urologische praktijk: kan het duurzamer?
Authors: Jansen Sanne L. , Legemate Jaap D. , Leliveld Annemarie M. , de Kort Laetitia M. O. 
Published: December 2023

SamenvattingMet het ondertekenen van de Green Deal Zorg 3.0 staan wij voor de uitdaging om vóór 2030 het gebruik van primaire grondstoffen met 50% te reduceren. Dit onderzoek is een eerste inventarisatie in de praktijkvariatie van materiaalgebruik binnen de urologische praktijk in Nederland. Deze landelijke uitvraag bevestigt dat er grote verschillen zijn tussen praktijken in het gebruik van afdekmateriaal en persoonlijke beschermingsmiddelen bij hoogvolume (poli)klinische handelingen. Zo wordt er bij de cystoscopie slechts in 60% van de klinieken steriele handschoenen gebruikt en wordt er in minder dan de helft van de gevallen afdekmateriaal gebruikt. Bij de vasectomie of circumcisie wordt door een kwart van de operateurs naast steriele handschoenen ook nog een steriele jas gedragen. Het vinden van een balans tussen veilige zorg en minimaal materiaalgebruik is een belangrijke taak voor zorgprofessionals. Het onderling delen van kennis is hierbij van belang.
A coupled scheme based on uniform algebraic trigonometric tension B-spline and a hybrid block method for Camassa-Holm and Degasperis-Procesi equations
Authors: Kaur Anurag , Kanwar V. , Ramos Higinio 
Published: December 2023

AbstractIn this article, high temporal and spatial resolution schemes are combined to solve the Camassa-Holm and Degasperis-Procesi equations. The differential quadrature method is strengthened by using modified uniform algebraic trigonometric tension B-splines of order four to transform the partial differential equation (PDE) into a system of ordinary differential equations. Later, this system is solved considering an optimized hybrid block method. The good performance of the proposed strategy is shown through some numerical examples. The stability analysis of the presented method is discussed. This strategy produces a saving of CPU-time as it involves a reduced number of grid points.
Experimental research into the drilling cutting method of rockburst-prone coal under water-rich conditions
Authors: Zhu Guang-an , Han Jin-peng 
Published: December 2023

AbstractThe drilling cuttings weight index fails to reflect coal’s stress conditions under water-rich environments, potentially undermining the drilling cutting method’s reliability for monitoring and early warning of rockburst risks. We integrated theoretical analysis with triaxial drilling tests to investigate the mechanical evolution, the spatio-temporal dynamics of absolute energy, and the failure modes during the drilling of water-bearing coal specimens. Moreover, we established the critical drilling cuttings weight index for these specimens by analyzing test outcomes and associated weakening coefficients. Results show that: (1) as the moisture content increases, the damage and rupture mode of coal changes from punctate frictional damage between microstructures to interlayer slip, dislocation, and friction of weak structural planes; macroscopically, it is shown as the increasing number of cracks in the horizontal and vertical directions in specimens; (2) The dynamic response frequency of rockburst-prone coal has a positive correlation with the moisture content. The elastic energy storage capacity of water-bearing coal is reduced, dynamic events develop in a shorter period while their frequency increases. In addition, the level of single energy release decreases; (3) With increasing moisture content, damage to boreholes in coal can be divided into two stages: convergence and crack initiation; (4) The deformation and damage range of boreholes is positively correlated with the moisture content. When the moisture contents are 1.4%, 2.3%, and 3.7%, the damage radii of specimens along the center of the boreholes are 2.03, 2.98, and 3.36 times the drilling radius; (5) The weight of drilling cuttings for coal with the moisture content of 3.70% is 2.78–3.48 times that of natural coal; for coal containing 5.60% of water, the weight of drilling cuttings is 1.50–3.20 times that of natural coal. The research conclusions provide reference for optimization of the index for the weight of drilling cuttings and effective rockburst monitoring of rockburst-prone coal under water-rich conditions.
Websites as institutional imaginary positionings
Authors: Bulgrin Eva , Weber Susanne Maria 
Published: December 2023

AbstractThe paper contributes to methodological innovations in the field of organisational education research and further education. The paper shows the potential of discourse-analytical website analysis for the imaginary positionings of Higher Education Institutions. It offers a discourse analytical research methodology and discusses University websites as surfaces of emergence of specific discourses. Discourse-analytical website analysis is especially significant as universities’ visually rich web-based communication is becoming increasingly critical. Our journal article reflects on websites as institutional imaginary positionings: First, we start by theorising organisations as orders of the gaze. Second, from a discourse-analytical power/knowledge based organisational education perspective, we make fruitful Foucault’s Archaeology of Knowledge for a multimodal website analysis. Third, we map the field and state the art of methods and methodologies of website analysis, including examples from a current research project on how transversal themes are represented on university websites. Our article contributes to methodological innovation through discourse-analytical website analysis in the field of organisational education and further education.
Multiple iterations and messiness in the implementation of action research by Bhutanese secondary science teachers
Authors: Rabgay Tshewang , Kidman Gillian 
Published: December 2023

AbstractMany theoretical models of action research depict its process as cycles that include several sequential phases. In Bhutan, teachers use Kemmis and McTaggart’s spiral model which has four phases of plan, act, observe and reflect to conduct action research for their professional learning. As a growing practice, the way Bhutanese teachers carry out action research is an emerging field of inquiry. This study explored how three Bhutanese secondary science teachers in a case study school conducted their first action research project using Kemmis and McTaggart’s model to improve student interaction in the class. Data were collected using diaries, interviews and observations. The analysis employed a three-step coding procedure of grounded theory. The findings showed that the science teachers conducted multiple iterations by moving back-and-forth between the four phases of Kemmis and McTaggart’s model. It demonstrated a messy and non-linear process of action research conducted through continuous reflection which was inconsistent with the neat cycles of Kemmis and McTaggart’s model. Despite a few challenges, the multiple iterations and continuous reflection helped the teachers to make progress in their action research and develop an interactive teaching strategy. Given the absence of multiple iterations and messiness in the action research knowledge disseminated to teachers in Bhutan, the study highlights the requirement for the Ministry of Education and teachers to consider mess and multiple iterations as a normal process of action research.
Smartphone survey data reveal the timecourse of changes in mood outcomes following vitamin C or kiwifruit intervention in adults with low vitamin C
Authors: Fletcher Benjamin D. , Haszard Jillian J. , Vissers Margreet C. M. , Conner Tamlin S. 
Published: December 2023

AbstractVitamin C-rich foods can improve mood; however, the timecourse of these benefits is unknown. This study utilised intensive longitudinal smartphone surveys from a three-armed placebo-controlled trial to determine mood-related changes following supplementation with vitamin C (250 mg tablet/d), kiwifruit (2 SunGold™ kiwifruit/d) or a placebo (1 tablet/d). Secondary data were analysed from the KiwiC for Vitality trial (Trial ID: ACTRN12617001031358). Adults (n 155, 63 % female, aged 18–35 years) with low plasma vitamin C (<40 μmol/l) completed a 14-d lead-in, 28-d intervention and 14-d washout. Participants self-reported vitality (SF-36), mood (POMS total mood disturbance), flourishing (flourishing scale), sleep quality, sleep quantity and physical activity every second day using smartphone surveys. Plasma vitamin C, measured fortnightly, reached saturation after 2 weeks of vitamin C or kiwifruit supplementation. Kiwifruit supplementation improved vitality and mood within 4 days, peaking around 14–16 days, and improved flourishing from day 14. Vitamin C marginally improved mood until day 12. Incremental AUC analyses revealed significant overall effects of kiwifruit consumption on vitality and mood compared with placebo, which were stronger than effects for vitamin C tablets, but attenuated when adjusting for covariates. Sensitivity analyses of participants with low baseline vitamin C status revealed improved mood (vitamin C and kiwifruit) and flourishing (kiwifruit only). This is the first study to use intensive smartphone surveys to model the day-to-day timecourse of mood-related states following vitamin C intervention and highlights the value of using smartphone surveys to reveal the temporal changes in mood-related outcomes following nutrient supplementation.
Characterization, typification and holistic consumer perception of welfare in laying poultry in Brazil: a machine learning approach
Authors: Arno Alessandra , Silveira Robson Mateus Freitas , da Silva Iran José Oliveira 
Published: December 2023

AbstractThe intensification of production systems raises concerns about animal welfare. In egg production, the use of cages is the main reason for discussion. The current transition from the production system to cage-free systems raises questions about consumer perception. The objective of this study was to typify, characterize and differentiate the profile of Brazilian consumers regarding animal welfare in laying poultry. For this, a questionnaire with 28 questions, addressing questions about sociodemographic indicators (SOC), eating habits (HAB), knowledge about the production chain (CON), general perception of animal welfare in egg production (HPW) and about eggs with an animal welfare guarantee (PEAWG) was answered by 1415 consumers. Machine learning techniques were applied to characterize; typify and holistic perception. Three groups of consumers were defined: interested, emerging and indifferent. All indicators under study showed discriminatory power (P < 0.001). The indicators that showed the greatest importance for the classification of the three profiles were HPW < EHAB < COM < PEAWG < SOC. The results indicate the potential of interested and emerging groups to become consumers of cage-free eggs and also indicate the need to inform the population about animal welfare in egg production. The results reinforce the need to create specific public policies for the production chain, in order to value egg production and reaffirm interest in the area, especially in specific niches such as production in cage-free systems.