cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Automated Theorem Provers Help Improve Large Language Model Reasoning
Creators: name: McGinness, Lachlan
name: Baumgartner, Peter
Publisher: name: arXiv
Year: 2024
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences
subject: F.4.1; I.2.7; I.2.8

description: In this paper we demonstrate how logic programming systems and Automated first-order logic Theorem Provers (ATPs) can improve the accuracy of Large Language Models (LLMs) for logical reasoning tasks where the baseline performance is given by direct LLM solutions. We first evaluate LLM reasoning on steamroller problems using the PRONTOQA benchmark. We show how accuracy can be improved with a neuro-symbolic architecture where the LLM acts solely as a front-end for translating a given problem into a formal logic language and an automated reasoning engine is called for solving it. However, this approach critically hinges on the correctness of the LLM translation. To assess this translation correctness, we secondly define a framework of syntactic and semantic error categories. We implemented the framework and used it to identify errors that LLMs make in the benchmark domain. Based on these findings, we thirdly extended our method with capabilities for automatically correcting syntactic and semantic errors. For semantic error correction we integrate first-order logic ATPs, which is our main and novel contribution. We demonstrate that this approach reduces semantic errors significantly and further increases the accurracy of LLM logical reasoning.
RES4CITY Case Study: Pre-feasibility study of the cold ironing for cruise ship (Short version)
Creators: name: University of Genoa
name: Parthenope University of Naples
Publisher: name: Zenodo
Year: 2024
Subjects: case study
cold ironing
cruise ships
renewable energy
italy

description: This case study evaluates the application of cold ironing technology as an alternative to using auxiliary or main engines powered by marine fuel oil to supply cruise ships with energy during the hotelling phase. By calculating energy consumption, pollutant emissions and externality costs for both on-board production and cold ironing for a cruise ship in an Italian port, the results show that cold ironing technology reduces fossil fuel consumption and greenhouse gas and air pollutant emissions, while ensuring economic viability. Assuming a connection fee of 46 €/MWh, the estimated savings per cruise ship are 9 M€ in fuel savings over 30 years and 31 M€ per year in externality costs.
Role Identification based Method for Cyberbullying Analysis in Social Edge Computing
Creators: name: Wang, Runyu
name: Lu, Tun
name: Zhang, Peng
name: Gu, Ning
Publisher: name: arXiv
Year: 2024
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Over the past few years, many efforts have been dedicated to studying cyberbullying in social edge computing devices, and most of them focus on three roles: victims, perpetrators, and bystanders. If we want to obtain a deep insight into the formation, evolution, and intervention of cyberbullying in devices at the edge of the Internet, it is necessary to explore more fine-grained roles. This paper presents a multi-level method for role feature modeling and proposes a differential evolution-assisted K-means (DEK) method to identify diverse roles. Our work aims to provide a role identification scheme for cyberbullying scenarios for social edge computing environments to alleviate the general safety issues that cyberbullying brings. The experiments on ten real-world datasets obtained from Weibo and five public datasets show that the proposed DEK outperforms the existing approaches on the method level. After clustering, we obtained nine roles and analyzed the characteristics of each role and their evolution trends under different cyberbullying scenarios. Our work in this paper can be placed in devices at the edge of the Internet, leading to better real-time identification performance and adapting to the broad geographic location and high mobility of mobile devices.
description: This paper has been accepted for publication in the Tsinghua Science and Technology
Résolution de l'équation d'advection en volume finis
Creators: name: BAMHAOUTE, TAHA
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 490302
subject: Numerical analysis
classificationCode: 490303
subject: Numerical solution of differential and integral equations

description: Dans ce rapport on a exploré l’application de la méthode de volume fini pour résoudre l’ équations d’advec-
tion, en mettant l’accent sur l’utilisation de schémas temporels implicites et explicites, ainsi que des schémas
spatiaux centrés et décentrés. L’analyse inclut une étude détaillée des maillages spatiaux et temporels, en sou-
lignant l’impact de ces choix sur la résolution numérique.
Des cas spécifiques, tels que la modélisation d’une bouilloire et d’un disque avec une résistance thermique, sont
examinés pour illustrer l’application pratique de la méthode. Les résultats mettent en évidence la nécessité de
trouver un équilibre entre la précision des résultats et le temps de calcul, en ajustant le niveau de raffinement du
maillage. Cette étude offre des perspectives importantes pour la prise de décisions dans la résolution numérique
d’équations d’advection, soulignant l’importance du choix approprié des paramètres numériques comme le cfl,
le pas du temps, la vitesse et le nombre de péclet
Automatic identification of the area covered by acorn trees in the dehesa (pastureland) Extremadura of Spain
Creators: name: Benjamin, Ojeda-Magaña
name: Ruben, Ruelas
name: Joel, Quintanilla-Dominguez
name: Leopoldo, Gomez-Barba
name: Juan, Lopez de Herrera
name: Jose, Robledo-Hernandez
name: Ana, Tarquis
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: I.4.6

description: The acorn is the fruit of the oak and is an important crop in the Spanish dehesa extremeña, especially for the value it provides in the Iberian pig food to obtain the "acorn" certification. For this reason, we want to maximise the production of Iberian pigs with the appropriate weight. Hence the need to know the area covered by the crowns of the acorn trees, to determine the covered wooded area (CWA, from the Spanish Superficie Arbolada Cubierta SAC) and thereby estimate the number of Iberian pigs that can be released per hectare, as indicated by the royal decree 4/2014. In this work, we propose the automatic estimation of the CWA, through aerial digital images (orthophotos) of the pastureland of Extremadura, and with this, to offer the possibility of determining the number of Iberian pigs to be released in a specific plot of land. Among the main issues for automatic detection are, first, the correct identification of acorn trees, secondly, correctly discriminating the shades of the acorn trees and, finally, detect the arbuscles (young acorn trees not yet productive, or shrubs that are not oaks). These difficulties represent a real challenge, both for the automatic segmentation process and for manual segmentation. In this work, the proposed method for automatic segmentation is based on the clustering algorithm proposed by Gustafson-Kessel (GK) but the modified version of Babuska (GK-B) and on the use of real orthophotos. The obtained results are promising both in their comparison with the real images and when compared with the images segmented by hand. The whole set of orthophotos used in this work correspond to an approximate area of 142 hectares, and the results are of great interest to producers of certified "acorn" pork.
description: 22 pages, 15 Figures, 2 Tables
title: Evaluation of a CBT-Based Program for Mental Health in the General Population During the COVID-19 Pandemic
title: A Stepped-Care Approach Using a Chatbot and Digitized Group Intervention
titleType: Subtitle
Creators: name: Langhammer, Till
name: Hilbert, Kevin
name: Wasenmueller, Robert
name: Praxl, Berit
name: Ertle, Andrea
name: Asbrand, Julia
name: Lueken, Ulrike
Publisher: name: Humboldt-Universität zu Berlin
Year: 2024
Subjects: subject: 150 Psychologie

description: The article processing charge was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491192747 and the Open Access Publication Fund of Humboldt-Universität zu Berlin.
description: Background: The COVID-19 pandemic exposed a substantial portion of society to multiple stressors, while access to mental health care was limited. To address this, we introduced a digital stepped-care program rooted in cognitive–behavioral therapy (CBT) principles, aiming to alleviate mental health distress among the general public seeking help. Methods: The program comprises a 4-week digital application using “Aury” the chatbot, followed by an optional 6-week online group session for those still symptomatic. A 4-week waiting period separated these steps. Participants entered based on self-identified mental health concerns. Interventions addressed prevalent pandemic mental health issues: sleep disturbances, anxiety, depression, worry/rumination, interpersonal issues, and resource mobilization. Outcomes focused on depressive, anxiety, and somatic symptoms, assessed by the Patient Health Questionnaire (PHQ). Results: Of the 1261 initial participants, postchatbot results (N = 142) indicated small to medium effects (d = 0.412 to d = 0.523). Those finishing the entire program (N = 41) saw substantial symptom decline with medium to large effects (d = 0.757 to d = 0.818). No shifts were seen in the waiting phase. At follow-up 6 months after baseline, both groups—those who only used the chatbot (N = 60; d = 0.284 to d = 0.416) and those who completed the entire program (N = 27; d = 0.854 to d = 0.926)—showed sustained symptom reduction. Comparing groups that received no intervention, used the chatbot only, and completed the entire program, we observed a dose–response effect. Conclusions: This resource-efficient and adaptable digital approach effectively reduced pandemic-induced mental health issues, indicating its potential in crisis periods with limited health resources. Randomized controlled trials are recommended for further validation.
Designing and analyzing microwave photonic spectral domain filters based on transversal filtering with optical microcombs
Creators: name: Moss, David J.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Microwave transversal filters, which are implemented based on the transversal filter structure in digital signal processing, offer a high reconfigurability for achieving a variety of signal processing functions without changing hardware. When implemented using microwave photonic (MWP) technologies, also known as MWP transversal filters, they provide competitive advantages over their electrical counterparts, such as low loss, large operation bandwidth, and strong immunity to electromagnetic interference. Recent advances in high performance optical microcombs provide compact and powerful multiwavelength sources for MWP transversal filters that require a larger number of wavelength channels to achieve high performance, allowing for the demonstration of a diverse range of filter functions with improved performance and new features. Here, we present a comprehensive performance analysis for microcomb based MWP spectral filters based on the transversal filter approach. First, we investigate the theoretical limitations in the filter spectral response induced by finite tap numbers. Next, we analyze the distortions in the filter spectral response resulting from experimental error sources. Finally, we assess the influence of input signals bandwidth on the filtering errors. These results provide a valuable guide for the design and optimization of microcomb-based MWP transversal filters for a variety of applications.
description: 33 pages, 10 figures, 33 references
Variations in magnetic behaviour of ferrimagnetic nanoparticles with temperature
Creators: name: Kumar, Abhishek
name: Gangawane, Krunal M.
name: Jena, Hara Mohan
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences

description: This study successfully synthesised ferrimagnetic nanoparticles (FMNPs) at a temperature of 28°C using the chemical co-precipitation method. Comprehensive characterisation of the FMNPs was performed through XRD, FTIR, FESEM, zeta potential analysis, hydrodynamic particle size measurement at 28°C, and VSM over a temperature range of 100–500°C. Our findings unequivocally confirm the composition of the synthesised nanoparticles as pure magnetite, featuring a spinel structure devoid of impurities. Morphologically, the FMNPs exhibit a nearly spherical shape, characterised by a uniform size distribution with an average particle diameter of 19 nm. Studying the magnetic properties across the temperature range of 100–500 °C reveals a striking trend: as temperature increases, both coercivity and remanence in the hysteresis loop experience a gradual reduction, thereby demonstrating a superparamagnetic behaviour. To elucidate this intriguing superparamagnetic behaviour, we employ a developed model rooted in the core–shell theory, which yields calculated data closely aligning with the experimental magnetisation results. These observations underscore the potential of these synthesised FMNPs for diverse applications, ranging from heat transfer and enhanced oil recovery to phase change materials and magnetic separation, positioning them as promising candidates in these fields.
Enhanced hydrogen evolution reaction activity of nitrogen deficient $hg-C_{3}N_{4}$ quantum dot
Creators: name: Dange, Khushboo
name: Roondhe, Vaishali
name: Shukla, Alok
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The present study investigates the catalytic performance of a $hg-C_{3}N_{4}$ quantum dot aimed at enhancing electrochemical water splitting, using the first-principles density functional theory. The size of the considered quantum dot lies within the range reported experimentally (2nm - 4nm) [Zhou et al. ACS Nano 9, 12480 (2015)]. The nitrogen vacancies are created in the considered $hg-C_{3}N_{4}$ structure to simulate the realistic scenario, as the presence of nitrogen and carbon defects are reported in the synthesized $hg-C_{3}N_{4}$ quantum dots. First, the structural and vibrational properties are computed to ensure the stability of the nitrogen deficient $hg-C_{3}N_{4}$ quantum dots, and subsequently, their electronic and hydrogen evolution reaction (HER) properties are investigated. The calculate HER parameters, i.e., adsorption energies, Gibbs free energies, and overpotentials demonstrate that the considered $hg-C_{3}N_{4}$ quantum dot with nitrogen vacancies can be used as a moderately effective electrocatalyst for HER performance. We also considered the quantum dot to be dissolved in water and ethanol, and find that the overpotential gets drastically reduced to 16 mV for the alcohol dissolved quantum dot, while some significant reduction is seen for the aqueous solution also. As a result, this study suggests that the nitrogen-deficient $hg-C_{3}N_{4}$ quantum dots dissolved in ethanol are excellent candidates for catalysis aimed at sustainable hydrogen production via electrochemical water splitting.
description: 36 pages, 9 figures
Cultural ideologies and outgroup action tendencies of left-behind children of Overseas Filipino Workers
Creators: name: Bernardo, Allan B. I.
name: Mata, Kimberly Kaye C.
name: Garabiles, Melissa R.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Cancer
Science Policy
Mental Health

description: At least 1.5 M Filipino children are left behind by parents who are Overseas Filipino Workers (OFWs). We explore whether left-behind children develop more positive intercultural beliefs and behavioral intentions compared to their peers, as they are made aware of foreign cultures through parents’ intercultural experiences. We surveyed 949 high school students, 103 of whom are left-behind children; the questionnaire included cultural ideologies and outgroup action tendencies scales. Controlling national identification measures as covariates, the results show that the left-behind children have more negative outgroup action tendencies and weaker approach tendencies towards people from other cultures. The intercultural experiences of OFW parents are not associated with more positive intercultural beliefs, suggesting the left-behind children might be constructing their intercultural knowledge considering some negative information about OFW’s experiences.
Ecological and human health risk of aryl-phosphate flame retardants (APFRs): Sources, distribution, and toxicity
Creators: name: Jin, Yuanxiang
name: Wang, Juntao
name: Xu, Haigui
name: Wang, Caihong
name: Hu, Qinglian
name: Hayat, Kashif
name: Qian, Mingrong
name: Liu, Weiping
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Aryl-phosphate flame retardants (APFRs), a subcategory of organophosphate flame retardants (OPFRs), are present in a diverse range of materials including plastic, and foam products, furniture, and electronic waste. Despite their widespread use, research on the toxicity of APFRs remains limited. In order to clarify more clearly the environmental and health risks caused by APFRs, this review provides a comprehensive overview of the occurrence and toxicity of four environmental APFRs: triphenyl phosphate (TPHP), 2-ethylhexyl diphenyl phosphate (EHDPP), isobutyl diphenyl phosphate (IDPP), and diphenyl phosphate (DPHP). Regarding the toxicity of APFRs, it seems that EHDPP and TPHP act in different ways in the intestine, but both cause disorders of lipid metabolism in the liver. On the contrary, the toxic effects of EHDPP and IDPP in the liver may be similar, but the specific mechanisms require further study. At the same time, DPHP, as the main biotransformation of APFRs, should receive more attention for its toxicity. Prioritizing the investigation of in vivo transformation products, particularly DPHP and enhancing the study of APFRs’ biodegradation are crucial to comprehensively assess the toxicity of APFRs.
Application of Fe3O4@THAM‑CH2CH2‑SCH2CO2H Magnetic Nanoparticles as an Acidic, Recyclable and Green Catalyst for the Synthesis of Hexahydroacridine-1,8-diones, Hexahydroquinolines, and 2-Amino-3-cyanopyridines
Creators: name: Sheikhveisi, Mahla
name: Hazeri, Nourallah
name: Lashkari, Mojtaba
name: Niya, Homayoun Faroughi
name: Fatahpour, Maryam
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified

description: Application of Fe3O4@THAM‑CH2CH2‑SCH2CO2H Magnetic Nanoparticles as an Acidic, Recyclable and Green Catalyst for the Synthesis of Hexahydroacridine-1,8-diones, Hexahydroquinolines, and 2-Amino-3-cyanopyridines
Combination of 3 seaweed that protect the skin against UV damages, glycation and aging
Creators: name: Takeda, Yuki
name: Nasu, Mizuho
name: Tan, AK
name: Takeda, Masada
Publisher: name: Journal of International Society of Antioxidants in  Nutrition & Health
Year: 2016

description: Advanced Glycation End-products (AGEs) accumulation in skin tissue shapes wrinkles and is responsible for aged looking skin. It damages fiber network, activates AGEs receptors (RAGE) that induces inflammation and produces reactive oxygen species (ROS). Since UV-radiation intensifies glycation, a way to reduce glycation damages on skin is to protect it from UV-radiation. We discovered that SRE3, a formulation of 3 fermented algae acts as an oral protection which contrary to sunscreen, acts homogenously on the totality of the skin and from the inside. SRE3 metabolites showed UV protection properties by over-expressing Heat Shock Protein. SRE3 protects skin fiber network by reducing AGEs accumulation and slow down wrinkles formation. Furthermore, SRE3 has anti-oxidant property by reducing ROS production and anti-inflammatory property by limiting activation of RAGE.
We realized a double-blinded clinical trial for 12 weeks on 60 healthy adults oral intake of 500mg per day of SRE3 or a placebo. Inflammation and antioxidant markers significantly decreased after 12 weeks and skin visually looked healthier and younger in SRE3 groups.
This study showed that SRE3 protects the skin from UV-radiation from the inside by anti-glycation, anti-oxidant and anti-inflammatory activities. SRE3 is a potent treatment to prevent skin aging and improving skin health.
description: Journal of International Society of Antioxidants in  Nutrition & Health, Vol 3, No 2 (2016)
New fermented spirulina ingredient for anti-glycation and anti-inflammation protection
Creators: name: Takeda, Yuki
name: Nasu, Mizuho
name: Tan, AK
name: Takeda, Masada
Publisher: name: Journal of International Society of Antioxidants in  Nutrition & Health
Year: 2016

description: Arthrospira platentis has become a popular health food for its high content in polyphenols. A wide range of benefits has been identified from this alga. However the dosage necessary to reach health benefit effect is high and can be the cause of side effects. To increase efficacy and digestibility of spirulina, Elken research team applied a unique lactic acid fermentation process to spirulina to obtain Cyanor. Fermentation provides a wide variety of metabolites with antioxidant, anti-inflammation and anti-glycation properties.
We performed a 12 weeks placebo-controlled clinical trial with 60 participants to compare the effect daily supplement of 500mg Cyanor to 6g of conventional spirulina. Fermented spirulina supplementation resulted in a reduction in inflammation markers: CRP (-60.17%) and TNF-α (-58%) blood levels and an increasing in CAT (+ 56%) blood level and Nrf2 expression
The clinical study showed that Cyanor was more efficient than conventional Spirulina to decrease oxidation and inflammation. By its antioxidation and anti-inflammation activity, Cyanor is a potent protection again glycation effects.
description: Journal of International Society of Antioxidants in  Nutrition & Health, Vol 3, No 2 (2016)
A state-of-the-art review on anaerobic digestion of sewage sludge based on microbial abundance: Correlations among microbiota, performance and process parameters
Creators: name: Zhou, Bo
name: Wu, Wei
name: Li, Xuesong
name: Dai, Ruobin
name: Wang, Zhiwei
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology
subject: Biological Sciences not elsewhere classified

description: Anaerobic digestion (AD) presents a promising avenue for efficiently reducing sewage sludge and generating renewable energy. The success of AD systems largely relies upon the microbial community composition, which is associated with various process parameters. This review aims to investigate the correlations among the microbiota abundances, digestion performances, and process parameters based on 233 datasets in 69 publications. Statistical analysis of the datasets uncovers significant correlations between process parameters with dominant bacterial phyla and archaeal genera. The evolution of microbial relative abundance (RA) reveals that Chloroflexi are positively correlated with Actinobacteria, Spirochaetes, and Synergistetes, while Firmicutes exhibit negative correlations with Proteobacteria, Chloroflexi, and Spirochaetes. Methanosarcina have negative correlations with Methanothrix, Methanobacterium, and Methanomassiliicoccus. Bacteria and archaea exhibit potential competitive (between syntrophic acetate-oxidizing bacteria and acetoclastic archaea) and syntrophic (between hydrogen-producing bacteria and hydrogenotrophic archaea) relationships. Furthermore, the volatile solids reduction and methane yield are significantly correlated with microbiota RAs and the ratio of Bacteroidetes and Firmicutes. This review sheds light on microbial interactions and thus AD performance by establishing the correlations between process parameters and microbiota composition. Future research directions should emphasize the significance of rare taxa, the necessity for experimental validation, and the potential of advanced modeling approaches to optimize sludge AD systems.
Anti-glycation and anti-oxidation activity of a complex of polyphenols
Creators: name: Micol, Vicente
name: Soudant, Etienne
name: Klotz, Celine
Publisher: name: Journal of International Society of Antioxidants in  Nutrition & Health
Year: 2016

description: Oxylia is a nutritional supplement developed to help fight against oxidative stress. Its formula combines olive, rosemary and black bean extracts. Oxylia is rich in Oleuropein, Hydroxytyrosol, Rosmary diterpens (carnosol, carnosic acid), Polyphenols including anthocyanidins. Oxylia has been proven to induce a regular weight loss of approximately 3.2 Kg during 90 days of supplementation. In this study, we analysed the protective effect of Oxylia against oxidative stress and against the formation of advanced glycation end-products.
A randomized, double blind, placebo controlled clinical trial has been done with 80 healthy volunteers separated in 2 groups consuming either a placebo or Oxylia for 12 weeks. Serum AGEs, antioxidant enzymes glutathione peroxidase and catalase and plasma antioxidant capacity were determined. Consumption of Oxylia decrease by 30% of serum AGEs and increase by 34% of glutathione peroxidase, 30% of catalase and 75% of plasma antioxidant capacity.
Consumption of Oxylia prevented efficiently glycation reaction and increased antioxidant capacity of blood serum. Oxylia is a potent treatment to prevent AGE-related pathologies.
description: Journal of International Society of Antioxidants in  Nutrition & Health, Vol 3, No 2 (2016)
Soil microplastic analysis: a harmonized methodology
Creators: name: Withana, Piumi Amasha
name: Senadheera, Sachini Supunsala
name: He, Defu
name: Bank, Michael S.
name: Gu, Cheng
name: Hwang, Sung Yeon
name: Ok, Yong Sik
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy

description: Microplastics (MPs) are contaminants of global concern, especially considering their widespread use. However, a systematic and comprehensive analytical procedure is not yet standardized for MPs in soils. Most of the methods have primarily been modified from existing marine research without acknowledging the inherent complexities of sampling and analyzing MPs in soil ecosystems. This review critically evaluates existing sampling, separation, identification, and quantification methods for MPs in soils and proposes a comprehensive methodology comprising eight phases for analyzing MPs in soils. We emphasize the importance of the soil sampling planning phase before conducting soil MP analyses and the necessity to assess physicochemical properties. Novel methods should be developed, and existing analytical approaches must be adequately modified and refined, given the heterogeneity of soils. Soil MP analyses should be coordinated globally by utilizing existing networks and infrastructure for soils, crops, and food security research and biomonitoring in conjunction with environmental and material sciences. This critical review may be an effective model for developing global standards for MP analysis in soils, focusing on the new regulations initiated by the UNEP to develop a legally binding agreement on plastic pollution.
Oral food perception and polyphenol-rich foods acceptance - the importance of knowing individuals saliva characteristics for promoting consumption
Creators: name: Lamy, Elsa
name: Möwe, Marco
name: Rodrigues, Lénia
name: Lopes, Orlando
name: Capela E Silva, Fernando
name: Pinheiro, Cristina
Publisher: name: Journal of International Society of Antioxidants in  Nutrition & Health
Year: 2016

description: Polyphenols are widely present in fruits, vegetables, cereals and beverages. Their study gained scientific interest because of their beneficial effects on health. Although there is currently no official dietary recommendation for polyphenol intake, health professionals recommend the consumption of 5-8 daily portions of fruits and vegetables. This is not always achieved and may be due to the aversive bitter and astringent sensations associated to polyphenols1, which are differently perceived among different individuals. As such, a better understanding on mechanisms responsible for differences among people, in polyphenol oral perception, is needed for promoting healthier choices.
Saliva has been linked to polyphenol consumption. We have previously observed, in animal models, changes in salivary proteome induced by tannin-enriched diets2,3,4. Moreover, differences in astringency perception were attributed to differences in salivary protein composition5. In a recent experiment, we observed differences among individuals with dissimilar tannic-acid perception: people with high sensitivity for the oral sensations elicited by tannins have higher amounts of salivary cystatins and lower capacity to maintain their levels after tannic-acid ingestion. Additionally, and similarly to previous studies2,3, salivary amylase was observed to be involved in tannin perception. In this presentation, oral cavity characteristics influencing the perception of polyphenol-containing foods will be discussed.
description: Journal of International Society of Antioxidants in  Nutrition & Health, Vol 3, No 4 (2016)
АНАЛИЗ ЦЕНООБРАЗОВАНИЯ В ОТРАСЛИ ЖИЛИЩНОГО СТРОИТЕЛЬСТВА В РЕГИОНАХ РОССИИ
Creators: name: Н.В. Волкова
name: А.С. Воронович
Publisher: name: Международный журнал гуманитарных и естественных наук
Year: 2022
Subjects: жилищное строительство
первичное жилье
ценообразование
себестоимость
закупочная цена

description: Статья содержит анализ ценообразования на жилищный фонд в регионах России. Основной задачей исследования является определение того, насколько итоговая цена квадратного метра жилой площади дороже средней себестоимости. Рассчитав долю наценки на стоимость квартир, можно сделать вывод о ее характере. Данный показатель будет полезен для застройщиков, которые вводят в эксплуатацию первичное жилье, чтобы определить наиболее благоприятную территорию для строительства. С точки зрения потенциальных покупателей интересно понять зависимость наценки от уровня среднедушевых доходов населения. Таким образом, ещё одной задачей статьи является определение уровня объективности ценообразования, когда предложение способно привлечь конкурентный спрос. По итогам исследования будет сделан вывод, насколько характер наценки коррелирует с уровнем жизни населения в разрезе субъектов России.
ResearchBox 3172, 'Preregistration network study', https://researchbox.org/3172
Creators: name: Anne van Hoogmoed
Publisher: name: Zenodo
Year: 2024

description: Box title: 'Preregistration network study'   Reference: van Hoogmoed AH, Adriaanse P, Vermeiden M, Weggemans R. (2024) 'Combining cognitive and affective factors related to mathematical achievement in 4th graders: A psychological network analysis study'. Trends in Neuroscience and Education. :100241. doi: 10.1016/j.tine.2024.100241Note: this backup was created automatically by a ResearchBox bot
Hierarchical Neural Constructive Solver for Real-world TSP Scenarios
Creators: name: Goh, Yong Liang
name: Cao, Zhiguang
name: Ma, Yining
name: Dong, Yanfei
name: Dupty, Mohammed Haroon
name: Lee, Wee Sun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Existing neural constructive solvers for routing problems have predominantly employed transformer architectures, conceptualizing the route construction as a set-to-sequence learning task. However, their efficacy has primarily been demonstrated on entirely random problem instances that inadequately capture real-world scenarios. In this paper, we introduce realistic Traveling Salesman Problem (TSP) scenarios relevant to industrial settings and derive the following insights: (1) The optimal next node (or city) to visit often lies within proximity to the current node, suggesting the potential benefits of biasing choices based on current locations. (2) Effectively solving the TSP requires robust tracking of unvisited nodes and warrants succinct grouping strategies. Building upon these insights, we propose integrating a learnable choice layer inspired by Hypernetworks to prioritize choices based on the current location, and a learnable approximate clustering algorithm inspired by the Expectation-Maximization algorithm to facilitate grouping the unvisited cities. Together, these two contributions form a hierarchical approach towards solving the realistic TSP by considering both immediate local neighbourhoods and learning an intermediate set of node representations. Our hierarchical approach yields superior performance compared to both classical and recent transformer models, showcasing the efficacy of the key designs.
description: Accepted to KDD 2024
ResearchBox 3232, ' Exploring data quality of global platforms for online research', https://researchbox.org/3232
Creators: name: Philipp Chapkovski
name: Eyal Peer
name: Elena Brandt
Publisher: name: Zenodo
Year: 2024

description: Box title: ' Exploring data quality of global platforms for online research'   Reference: Chapkovski P, Peer E, Brandt E. (2024) 'From WEIRD to GREAT? Exploring data quality of global platforms for online research'. . . doi: 10.31234/osf.io/xvfqnNote: this backup was created automatically by a ResearchBox bot
Integrating Behavior-based Prediciton for Tracking Vehicles in Traffic Videos
Creators: name: Fexa, Ales
name: Nagel, Hans-Hellmut
Publisher: name: International Conference on Computer Vision Systems : Proceedings
Year: 2007

description: Road vehicles usually remain within marked lanes. Such an hypothesis reflects a longer temporal perspective than the frequently used assumption that a vehicle continues with the currently estimated speed and direction. We study the first, more general, hypothesis in particular to track road vehicles through extended periods of occlusion "without", however, relying on 3D-models of occluding foreground bodies. A potential onset of occlusion is detected by a fuzzy conjunction of large, "facet-specific" color changes and a low ratio of the number of pixels with a prediction-compatible Optical-Flow (OF) vector relative to the total number of pixels within a facet of the 3D-polyhedral vehicle model. Experimental results for the entire approach are presented.
description: International Conference on Computer Vision Systems : Proceedings, The 5th International Conference on Computer Vision Systems (ICVS)
ResearchBox 3251, 'JMR Conditional Promotions', https://researchbox.org/3251
Creators: name: Andong Cheng
name: Ashley Stadler Blank
Publisher: name: Zenodo
Year: 2024

description: Box title: 'JMR Conditional Promotions'   Reference: Andong Cheng and Ashley Stadler Blank, 'The Conditional Promotion Paradox: When and Why Conditional Promotions Decrease Total Sales of the Promoted Product', Journal of Marketing ResearchNote: this backup was created automatically by a ResearchBox bot
A System for Continuous Learning of Visual Concepts
Creators: name: Skocaj, Danijel
name: Berginc, Gregor
name: Ridge, Barry
name: Stimec, Ales
name: Jogan, Matjaz
name: Vanek, Ondrej
name: Leonardis, Ales
name: Hutter, Manuela
name: Hawes, Nick
Publisher: name: International Conference on Computer Vision Systems : Proceedings
Year: 2007

description: We present an artificial cognitive system for learning visual concepts. It comprises of vision, communication and manipulation subsystems, which provide visual input, enable verbal and non-verbal communication with a tutor and allow interaction with a given scene. The main goal is to learn associations between automatically extracted visual features and words that describe the scene in an open-ended, continuous manner. In particular, we address the problem of cross-modal learning of visual properties and spatial relations. We introduce and analyse several learning modes requiring different levels of tutor supervision.
description: International Conference on Computer Vision Systems : Proceedings, The 5th International Conference on Computer Vision Systems (ICVS)
PRISM: PRogressive dependency maxImization for Scale-invariant image Matching
Creators: name: Cai, Xudong
name: Wang, Yongcai
name: Luo, Lun
name: Wang, Minhang
name: Li, Deying
name: Xu, Jintao
name: Gu, Weihao
name: Ai, Rui
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Image matching aims at identifying corresponding points between a pair of images. Currently, detector-free methods have shown impressive performance in challenging scenarios, thanks to their capability of generating dense matches and global receptive field. However, performing feature interaction and proposing matches across the entire image is unnecessary, because not all image regions contribute to the matching process. Interacting and matching in unmatchable areas can introduce errors, reducing matching accuracy and efficiency. Meanwhile, the scale discrepancy issue still troubles existing methods. To address above issues, we propose PRogressive dependency maxImization for Scale-invariant image Matching (PRISM), which jointly prunes irrelevant patch features and tackles the scale discrepancy. To do this, we firstly present a Multi-scale Pruning Module (MPM) to adaptively prune irrelevant features by maximizing the dependency between the two feature sets. Moreover, we design the Scale-Aware Dynamic Pruning Attention (SADPA) to aggregate information from different scales via a hierarchical design. Our method's superior matching performance and generalization capability are confirmed by leading accuracy across various evaluation benchmarks and downstream tasks. The code is publicly available at https://github.com/Master-cai/PRISM.
description: 15 pages, 8 figures, ACM MM 2024. Supplementary materials are included
Cross-Modal Learning of Visual Categories using Different Levels of Supervision
Creators: name: Fritz, Mario
name: Kruijff, Geert-Jan M.
name: Schiele, Bernt
Publisher: name: International Conference on Computer Vision Systems : Proceedings
Year: 2007

description: Today's object categorization methods use either supervised or unsupervised training methods. While supervised methods tend to produce more accurate results, unsupervised methods are highly attractive due to their potential to use far more and unlabeled training data. This paper proposes a novel method that uses unsupervised training to obtain visual groupings of objects and a cross-modal learning scheme to overcome inherent limitations of purely unsupervised training. The method uses a unified and scale-invariant object representation that allows to handle labeled as well as unlabeled information in a coherent way. One of the potential settings is to learn object category models from many unlabeled observations and a few dialogue interactions that can be ambiguous or even erroneous. First experiments demonstrate the ability of the system to learn meaningful generalizations across objects already from a few dialogue interactions.
description: International Conference on Computer Vision Systems : Proceedings, The 5th International Conference on Computer Vision Systems (ICVS)
ResearchBox 3256, 'Antibiotic Messaging Study', https://researchbox.org/3256
Creators: name: Säde Stenlund
name: Matthew  Ruby
name: Hannah Lishman
Publisher: name: Zenodo
Year: 2024

description: Box title: 'Antibiotic Messaging Study'   Reference: Säde Stenlund, Kirstin C. Appelt, Matthew B. Ruby, Nick Smith, Hannah Lishman,
and David M. Patrick, 'Testing Different Message Styles about Unnecessary Antibiot-ics Using an Online Platform  ', AntibioticsNote: this backup was created automatically by a ResearchBox bot
Machine Perception using a Blackboard Architecture
Creators: name: Guhl, Tim P
name: Shanahan, Murray P.
Publisher: name: International Conference on Computer Vision Systems : Proceedings
Year: 2007

description: Here we present ongoing research in the application of symbolic reasoning to perception in general and vision in particular. Perception is treated as the combination of the possibly contradictory outputs of many specialized processes which communicate via a blackboard data structure. It is demonstrated that our design allows for bottom-up, horizontal and top-down information flow. Significant progress towards the analysis of unstructured scenes has been made. The principles involved have been explored experimentally and preliminary results are presented.
description: International Conference on Computer Vision Systems : Proceedings, The 5th International Conference on Computer Vision Systems (ICVS)
Learn Biological Sciences and Physics through scientific process, creation, experimentation and analysis
Creators: name: Mehrotra, Dr
Publisher: name: QUBES Educational Resources
Year: 2024

description: Microbes remain attached and grow on various surfaces whether living or non-living. These surfaces provide differential growth substances for microbes to remain attached or grow. The differential growth can be evaluated by thinking of a testing hypothesis, creating a spectrophotometer to assess the concentration through application of beer & lambert law and then finally creating graphs for better visualization and analysis.
ResearchBox 3300, 'Italian winegrowers acceptance of result-based agri-environmental schemes', https://researchbox.org/3300
Creators: name: Margherita Muzzillo
name: Jens Rommel
name: Linda  Arata
name: Paolo  Sckokai
Publisher: name: Zenodo
Year: 2024

description: Box title: 'Italian winegrowers acceptance of result-based agri-environmental schemes'   Reference: Muzzillo M, Arata L, Rommel J, Sckokai P. (2024) 'Italian winegrowers' Acceptance of result-based agri-environmental schemes'. Q Open. . doi: 10.1093/qopen/qoae026Note: this backup was created automatically by a ResearchBox bot
HELPS for Emergency Location Service: Hyper-Enhanced Local Positioning System
Creators: name: Moon, Hichan
name: Park, Hyosoon
name: Seo, Jiwon
Publisher: name: arXiv
Year: 2024
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this study, we propose a novel positioning and searching system for emergency location services, namely the hyper-enhanced local positioning system (HELPS), which is applicable to all mobile phone users, including legacy feature phone users. In the case of an emergency, rescuers are dispatched with portable signal measurement equipment around the estimated location of the emergency caller. Each signal measurement device measures the uplink signal from the mobile phone of the caller. After calculating the rough location of the caller's mobile phone based on these measurements, rescuers can efficiently search for the caller using the received uplink signal strength. Thus, the positioning accuracy in a conventional sense is not a limitation for rescuers in finding the caller. HELPS is not a traditional positioning system but rather a system with humans in the loop designed to reduce search time in emergencies. HELPS can provide emergency location information even in environments where the GPS or Wi-Fi is not functional. Furthermore, for HELPS operation, no hardware changes or software installations are required on the caller's mobile phone.
description: Submitted to IEEE Wireless Communications
ResearchBox 3317, 'cheeses study', https://researchbox.org/3317
Creators: name: Malamatenia Panagiotou
Publisher: name: Zenodo
Year: 2024

description: Box title: 'cheeses study'   Reference: Malamatenia Panagiotou, Efstathios Kaloudis, Danai Ioanna Koukoumaki, Vasiliki Bountziouka, Evangelia Giannakou, Margarita Pandi, and Konstantinos Gkatzionis, 'Key drivers of consumption, conceptual, sensory, and emo-tional profiling of cheeses based on origin and consumer fa-miliarity: a case study of local and imported cheeses in Greece.', Gastronomy, MDPINote: this backup was created automatically by a ResearchBox bot
ResearchBox 3388, 'Pear Psylla Botanical Oil Bioassay, 2024', https://researchbox.org/3388
Creators: name: Molly Sayles
name: Robert Orpet
Publisher: name: Zenodo
Year: 2024

description: Box title: 'Pear Psylla Botanical Oil Bioassay, 2024'   Reference: Molly Sayles, Louis Nottingham, R.T. Curtiss, Max Young, Robert Orpet, 'Laboratory bioassay of botanical oil-based insecticides on pear psylla, 2024', Arthropod Management TestsNote: this backup was created automatically by a ResearchBox bot
Lipoic acid-derived amides: synthesis, electrochemical studies, antioxidant and  anti-glycation activities
Creators: name: GOULART, MARILIA
name: Silva, Thaissa
name: Xavier, Jadriane
name: Ferreira, Fabrícia
name: Gontijo, Vanessa
name: Freitas, Rossimiriam
Publisher: name: Journal of International Society of Antioxidants in  Nutrition & Health
Year: 2016

description: The detrimental effects of Reactive Oxygen Species, Reactive Nitrogen Species and other reactive species, responsible, when in excess, for Oxidative Stress (OS), can be fought by the action of antioxidants such as lipoic acid (LA). There is an up-raising interest in LA derivatives, once molecular combinations (hybrids) may exhibit multifunctional activity [1]. In the present study, amides were synthesized, from the reaction of LA with hydroxyl- and thiolated anilines, and evaluated toward protection against lipid peroxidation and carbonyl stress. Three derivatives were obtained (Fig. 1a), being LA-SCH3, reported for the first time. The protection against lipid peroxidation was assayed through peroxyl radical-mediated lipid peroxidation based on a unilamellar soybean lecithin membrane model. All the compounds had shown to protect the membrane (Fig. 1b). LA-OH had similar protective effects as Trolox, being more effective than its precursor, LA. Its electrochemical profile (cyclic voltammetry, CV) in protic medium, together with pH effects (Fig. 1c) was obtained, represented by two oxidation peaks, related to phenol (Ia) and disulfide (IIa) oxidation. The phenol moiety is influenced by pH values, similarly to the acetaminophen profile [2]. The hybridization strategy showed to be a valuable approach
description: Journal of International Society of Antioxidants in  Nutrition & Health, Vol 3, No 4 (2016)