bluuebunny/crossref_metadata_2025_split huggingface dataset:
How opportunistic mobile participatory monitoring can enhance air quality assessment?
Authors: Abboud Mohammad , Taher Yehia , Zeitouni Karine , Raimond Ana-Maria Olteanu 
Published: September 2023

Abstract

The deteriorating air quality in urban areas, particularly in developing countries, has led to increased attention being paid to the issue. Daily reports of air pollution are essential to effectively manage public health risks. Pollution estimation has become crucial to expanding spatial and temporal coverage and estimating pollution levels at different locations. The emergence of low-cost sensors has enabled high-resolution data collection, either in fixed or mobile settings, and various approaches have been proposed to estimate air pollution using this technology. The objective of this study is to enhance the data from fixed stations by incorporating opportunistic mobile participatory monitoring (MPM) data. The main research question we are dealing with is: How can we augment fixed station data through MPM? In order to address the challenge of limited MPM data availability, we leverage existing data collected during periods when the pollution maps align with those observed by the fixed stations. By combining the fixed and mobile data, we apply interpolation techniques to produce more accurate pollution maps. The efficacy of our approach is validated through experiments conducted on a real-life dataset.
The optimization method of wing ice shape regulation based on quantitative assessment of flight risk
Authors: Li Zhe , Dou Pengfei , Huang Qiao 
Published: September 2023

Abstract

Ice accretion on airfoils deteriorates aerodynamic characteristics and threats flight safety. Seriously, airborne de-icing system is uncertain to remove ice on the aircraft completely, and ice tolerant flight still exists. Plasma ice shape regulation is an emerging de-icing technology. The continuous ice is cut into intermittent ice by the thermal effect of the plasma actuator. Different actuator arrangement schemes are selected, forming different intermittent ice. As ice tolerant flight exists, the internal relationship between arrangement of ice shape and flight risk is a key problem that needs to be solved in application of plasma ice shape regulation technology. A method to quantify flight risk under ice shape regulation conditions is proposed. Wind tunnel tests with simulation ice were carried out based on the swept wing scaled model, obtaining the aerodynamic parameters. The quantitative assessment of flight risk based on flight safety boundaries was conducted. The results show that the flight risk decreases from level 2 to level 4 when the ratio of the width of single regulation ice to the mean aerodynamic chord of the wing is 0.15. Meanwhile, the flight quality was evaluated and increased from level 2 to level 1 compared with full ice configuration. The evaluation method based on quantitative assessment of flight risk can provide technical references for optimizing schemes of ice shape regulation, applying to flight safety analysis under ice shape regulation conditions.
Load Balance-Aware Energy-Efficient Scheduling for Mobile Crowd Computing: A PSO-based Solution
Authors: Pramanik Pijush Kanti Dutta , Biswas Tarun , Choudhury Prasenjit 
Published: September 2023

Abstract
Due to their increasing computational power and energy-efficient hardware, today's smart mobile devices (SMDs) are replacing desktops and laptops as casual computing devices. Moreover, a cluster of such powerful SMDs can garner substantial high-performance computing (HPC). In mobile crowd computing (MCC), public-owned SMDs are utilised to attain such HPC. Here, a large computing-intensive task is divided and scheduled to the available SMDs for execution and the results are recollected. This provides an economical and sustainable HPC. However, battery-powered constrained energy is a great hindrance to achieving this. Therefore, in MCC, it is crucial to minimise the overall energy consumption to complete the task. This can be achieved to some extent by optimising the task scheduling to the appropriate SMDs. However, considering only energy efficiency might lead to a huge load imbalance among SMDs, i.e., the most energy-efficient SMDs would be overloaded most of the time. Considering this, in this paper, we present a PSO-based scheduling algorithm to minimise the overall energy consumption among a set of SMDs designated to execute a set of MCC tasks while maintaining a satisfactory load balance level. The proposed method is analysed and validated by extensive simulations with synthetic as well as collected datasets. The work is compared with popular heuristic (MCT, MinMin, MaxMin, and PPIA) and metaheuristic (GA) optimisation algorithms, displaying significant improvements over others in terms of the considered objectives. Furthermore, a statistical hypothesis test, ANOVA, is carried out to demonstrate the distinctiveness of the proposed algorithm.
Topological Crystal Structure Prediction
Authors: Tuckerman Mark , Galanakis Nikolaos 
Published: September 2023

Abstract

Organic molecular crystals constitute a class of materials of critical importance in numerous industries. Despite the ubiquity of these systems, our ability to predict molecular crystal structures starting only from a two-dimensional diagram of the constituent compound(s) remains a significant challenge. Most structure-prediction protocols require a customized interatomic interaction model on which the quality of the results can depend sensitively. To overcome this problem, we introduce a new topological approach to molecular crystal structure prediction. The approach posits that in a stable structure, molecules are oriented such that principal axes and normal ring plane vectors are aligned with specific crystallographic directions and that heavy atoms occupy positions that correspond to minima of a set of geometric order parameters. By minimizing a loss function that encodes these orientations and atomic positions, stable structures and polymorphs for a given crystal can be predicted entirely mathematically without reliance on an interaction model.
Actinic Conjunctivitis and its Relationship with Prurigo in an Indigenous Population from the Highlands of Chiapas, Mexico
Authors: Alamillo-Velazquez Jimena , Ortiz-Morales Gustavo , Gonzalez-Gonzalez Sergio E. , Lopez-Altamirano Daniel F. , Rodriguez-Garcia Alejandro 
Published: September 2023

Abstract
Purpose
Actinic conjunctivitis (AC), along with cheilitis (AChe), is part of the clinical spectrum of actinic prurigo (AP), a rare photo dermatosis affecting high-risk populations. We analysed the clinical manifestations and onset of actinic conjunctivitis (AC) and its relationship with prurigo (AP) in a susceptible population.
Methods
An observational and cross-sectional study was performed on the Indigenous populations from the highlands of Chiapas, Mexico. A thorough dermatologic and ophthalmologic examination was performed on patients attending a primary health care centre. Clinical features, labour and environmental factors, onset timing, and clinical staging of AC and AP were analysed.
Results
Of 2913 patients studied, 54 patients (108 eyes) (1.8%) had AC and 14 patients (25.9%) AP. Mean age of diagnosis was 36.18 ± 18.52 years (range: 6-70 years). Mean residence altitude was 1884 ± 434.2 m above sea level. Mean self-reported sun exposure was 5.14 ± 3.1 hours a day (range: 0.5 - 12 h). 90.7% reported exposure to biomass fuels when cooking, and 50% to farm animals. AC was the sole manifestation in 70% of cases. All patients had nasal and temporal photo-exposed conjunctiva affected. 12.9% of eyes were classified as stage-1, 64.8% as stage-2, and 22.2% stage-3. 83.3% of the patients had a hyperpigmented lesion and 35.1% had an evaporative dry eye disease.
Conclusions
The prevalence of AC was 1.8%. AC may be the initial or sole manifestation of AP.
AC clinical manifestations included a symmetric papillo-follicular conjunctival reaction, evaporative dry eye disease, linear leucoma, hyperpigmented lesions, and pseudo-pterygia formation.
Landslide Modeling Using GIS and a Statistical Method Upstream of Port Tangier Med (TANGER, Morocco)
Authors: Maktite Abderrahim 
Published: September 2023

Abstract
The Tangier Mediterranean port (Northern Morocco) is exposed to a significant danger of landslides upstream. On a test site of 193 km², 277 landslides were recorded, or about 11% of the total area. This study was conducted to examine the risk of landslide upstream of the Med II port (northern Rif) using the method of informative values. The results made it possible to identify five different risk classes, ranging from low to nil in unbuilt areas, to very high in developed areas on mountain slopes. The results also reveal that nearly 31% of the total surface is highly susceptible to mass movements, while 22% is very sensitive and 23.3% presents a low threat. These results were compared and critically validated using the construction of success rate curves and predictions.
New type of inequalities involving differentiable h-convexity and with applications
Authors: Almutairi Ohud Bulayhan 
Published: September 2023

Abstract
In this article, we explore the type of integral inequalities using H\"older inequality together with the class of h-convexity.Also, we present some trapezoid-type inequalities for the class of mappings whose second derivative in absolute value at certain power is h-convex. The applications to special means of some results obtained are equally discussed.In some selected cases, several previous results were generalized.
Hypoxia-mediated upregulation of xanthine oxidoreductase causes DNA damage of colonic epithelial cells in colitis
Authors: Li Hongling , Wang Yupeng , Han Weiyu , Li Haitao , Zhang Qi 
Published: September 2023

Abstract
Xanthine oxidoreductase (XOR) is the primary source of hydrogen peroxide and superoxide anions in the intestinal mucosa. However, its specific contribution to the colonic disease progression remains unclear. In this study, we investigated the role of XOR in ulcerative colitis (UC) and attempted to identify the underlying mechanisms. We used the dextran sulfate sodium (DSS)-induced mouse model to mimic UC and found that the XOR inhibitors (allopurinol and diphenyleneiodonium sulfate (DPI) significantly alleviated UC in mice. Also, cobalt chloride (CoCl2) and 1% O2 treatment increases the expression of XOR and caused DNA oxidative damage in colonic epithelial cells. Furthermore, we found that XOR accumulated in the nucleus may directly cause DNA oxidative damage and regulates HIF1α protein levels. In addition, allopurinol effectively protected colon epithelial cells from CoCl2-induced DNA damage. Altogether, our data provide new evidence that XOR could induce DNA damage under hypoxic conditions indicating a significant role of XOR in the initiation and early development of colitis-associated colorectal cancer (CAC).
Acute effects of resistance-type and cycling-type high-intensity interval training on arterial stiffness, cardiac autonomic modulation and cardiac biomarkers
Authors: Wang Tianjiao , Mao Jun , Bo Shumin , Zhang Li , Li Qing 
Published: September 2023

Abstract

Background:High-intensity interval training (HIIT) has been shown to enhance cardiovascular health. However, there is a lack of research investigating the specific cardiovascular effects of different HIIT training modes. Therefore, the purpose of this study was to compare the acute effects of cycling-type high intensity interval training (C-HIIT) and resistance-type high intensity interval training (R-HIIT) on arterial stiffness, cardiac autonomic modulationand cardiac biomarkers in healthy young men.Methods:Eleven healthy active young men (ages: 21.36±2.46 years) randomly took part in both C-HIIT and R-HIIT. Cardio-ankle vascular index (CAVI), heart rate variability (HRV), blood pressure (BP) was measured at before, immediately and 30 min after the exercise in C-HIIT and R-HIIT. Meanwhile, blood samples for cardiac troponin-T (cTnT) and amino-terminal pro-B-type natriuretic peptide (NT-proBNP)were assessed using ELISA at the same time points.Results:R-HIIT resulted a more significant reduction in ⊿CAVI compared to C-HIIT (P<0.05) at immediately after exercise. Both C-HIIT and R-HIIT lead to significantly higher SBP value than the baseline immediately after exercise (P<0.05). All HRV indices, including lnRMSSD and lnHF, decreased immediately (P<0.001) and 30 minutes (P<0.05) after exercise, while the LF/HF ratio increased immediately and returned to baseline after 30 minutes (P>0.05) of exercise. The cTnT and NT-proBNP levels were significantly higher than the baseline 5 minutes after exercise (P<0.05) and returned to the baseline at 35 minutes after exercise (P>0.05).Trial registration:The study was prospectively registered on 27 August 2021 at www.chictr.org.cn with identification number ChiCTR2200056897.Conclusion:Both R-HIIT and C-HIIT elicited similar acute responses in cardiac autonomic modulation and cardiac biomarkers. However, R-HIIT was found be more effective in reducing arterial stiffness in healthy young men. Furthermore, the increase in cardiac biomarkers induced by both C-HIIT and R-HIIT was reversible and did not result in pathological changes in the myocardium.
The Factors Affecting the Choice of Supervisor Type for Postoperative Exercises in Cancer Patients with Bone Tumor Resection -A Qualitative Study
Authors: Mete Emel , Kablan Nilüfer , Akan Mehmet , Özkan Korhan 
Published: September 2023

Abstract
Objective
The aim of this study was to investigate the motivators and barriers affecting the choice of supervisor type for post-operative exercises and the effect of the experience with the preferred supervisor on future type of supervisor choice in patients with bone tumor resection.
Design:
This study used a qualitative approach with thematic analysis. Subjects participated in either supervised or non-supervised exercise program according to their choices. Semi-structured, in-depth manner interviews were done with participants both pre and post-exercises period. Two researchers determined codes and themes by analysing content using Atlas.ti.23.
Participants:
Subjects underwent bone tumor resection surgery were included.
Results
Participants preferred face to face supervisor because of desire feeling safe, ensuring that the exercises are done correctly, and adhering to the program in a disciplined manner. Time flexibility and home comfort encouraged the choice of online supervisor. Negative experiences, health system problems, and difficulty in transport made the participants away from the preference of face-to-face supervisor. Participants with self-discipline did not choose the presence of a supervisor while doing exercise. Technical inadequacies were found to be the only barrier to choosing the online supervisor type.
Conclusion
The factors determining the supervisor type were individual, environmental and related to health professional factors. Self-discipline, the need for a companion, transportation, the need to feel confident are the strongest factors that determine the type of supervisor.
Lunar Ground Segmentation Using a Modified U-Net Neural Network
Authors: Petrakis Georgios , Partsinevelos Panagiotis 
Published: September 2023

Abstract
Semantic segmentation plays a significant role in unstructured and planetary scene understanding, offering to a robotic system or a planetary rover valuable knowledge about its surroundings. Several studies investigate rover-based scene recognition planetary-like environments but there is a lack of a semantic segmentation architecture, focused on computing systems with low resources and tested on the lunar surface. In this study, a lightweight encoder-decoder neural network (NN) architecture is proposed for rover-based ground segmentation on the lunar surface. The proposed architecture is composed by a modified MobilenetV2 as encoder and a lightweight U-net decoder while the training and evaluation process were conducted using a publicly available synthetic dataset with lunar landscape images. The proposed model provides robust segmentation results, allowing the lunar scene understanding focused on rocks and boulders while it achieves similar accuracy, compared with original U-net and U-net-based architectures which are 110–140 times larger than the proposed architecture. This study, aims to contribute in lunar landscape segmentation utilizing deep learning techniques, while it proves a great potential in autonomous lunar navigation ensuring a more safe and smooth navigation on the moon. To the best of our knowledge, this is the first study which propose a lightweight semantic segmentation architecture for the lunar surface, focused on rover navigation.
Chemical oxidation co-coagulation-flocculation for the flotation wastewater treatment of lead-zinc oxide ore from Lanping mine
Authors: Guo Xiulan , Gong Xiang , Li Suqi , Yuan Jiaqiao , Ding Zhan , Yu Anmei , Wen Shuming , Bai Shaojun 
Published: September 2023

Abstract
The flotation wastewater produced by "lead preferred flotation-zinc flotation" all-open process with aids of mixed depressants and cationic-anionic collectors has a high turbidity and multitude of reagent contaminants, and fails to meet the discharge standards. This study objective is to remove fine solid particles and flotation reagents in this wastewater by chemical oxidation co-coagulation-flocculation process. Results of chemical oxidation tests indicate peroxymonosulfate (PMS) exhibits superior performance on decreasing COD, and the COD remarkably decreases to 71.8 mg·L-1 with 100 mg·L-1 PMS addition after 120 min. Moreover, the combined oxidation of radicals (SO4•- and •OH) are responsible for degradation of flotation reagents (Na2S, DCCH, xanthates and amine) in the wastewater. Results of experimental factors confirm that the turbidity of wastewater decreases significantly from 124796 to 71.4 NTU, and the yield of water reaches above 90% with combined usage of lime (500 mg·L-1) and polyacrylamide (PAM, 50 mg·L-1). Besides, the contents of S, P, N, Zn Pb and Fe decrease, and meet the discharge standards. Results of zeta potential analysis suggest lime reduces the electrostatic repulsion between particles, and PAM plays a bridge link role between particles, accelerating the precipitation of suspended particle.
Urban Floristic Diversity in Bosnia and Herzegovina – the Reflection of Nature
Authors: Lubarda Biljana , Rat Milica , Petronić Sladjana , Sarajlić Nermina , Marić Nataša , Maksimović Tanja , Anačkov Goran 
Published: September 2023

Abstract
The floristic richness of Bosnia and Herzegovina has long been researched, but little attention has been paid to urban flora until recently, and no systematic surveys of urban ecosystems have been conducted. To address this problem, a study of the urban flora of seven cities in Bosnia and Herzegovina was conducted to determine the pattern of floristic diversity and correlation with anthropogenic factors: Size of the urban area, share of green areas in the total urban area, number of inhabitants and population density. The first finding of the study is that cities in Bosnia and Herzegovina are rich in plant species. Species richness reflects the geographical location, so that cities in the Mediterranean biogeographical region are richer in species, such as Mostar and Blagaj, but at the same time species richness also depends on the total area of the city, as is the case with Sarajevo and Banja Luka. The analyses carried out have shown that the floristic diversity of urban flora in Bosnia and Herzegovina largely reflects the natural vegetation of the urban environment compared to urban flora in other parts of Europe. Moreover, the proportion of alien species is lower and contributes to the heterogenisation of the flora. Among the factors of anthropogenisation, population density correlates most strongly with the richness of urban flora. From the results, we conclude that urban plant diversity correlates with both environmental and anthropogenic factors, but in a way that provides a sound basis for conservation systems in urban ecosystems.
Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem
Authors: Gunjan Abhishek , Bhattacharyya Siddhartha 
Published: September 2023

Abstract
Portfolio optimization has always been a challenging proposition and a highly studied problem in finance and management. Portfolio optimization facilitates the selection of the right assets and their distribution according to the set objectives. Often, it has been found that this nonlinear constraint problem cannot be efficiently solved using a traditional approach. In this paper, quantum-inspired incarnations of three evolutionary techniques, viz., (i) genetic algorithm (GA), (ii) differential evolution (DE), and (iii) particle swarm optimization (PSO) are used for the portfolio optimization problem. Experiments have been conducted with more than 10 years of stock price data from NASDAQ, BSE, and Dow Jones. Several enhancements of the evolutionary algorithms have been proposed in this article, viz., (i) enhanced crossover techniques for the portfolio optimization problem, (ii) regularization function to allocate funds efficiently, and (iii) dynamic parameter tuning using sensitivity analysis.
Characterisation of Drought-tolerance Genes in Nigerian Common Beans (Phaseolus Vulgaris L.) Using Mgenome-wide Association Studies
Authors: El-Sunais Yusha'u 
Published: September 2023

Abstract
The research aimed to identify and characterize genes associated with drought tolerance in Nigerian common beans using Genome-Wide Association Studies. A total of 200 common bean accessions and their phenotypic data were used for the study. The bean accessions were genotyped using the BARCBean6K_3 Infinium BeadChips and SNPs were called using Genome Studio V2011.1. A filtering process was applied to remove any SNPs that had a high missing data rate (> 10%), a high heterozygosity rate (> 10%), or a low minor allele frequency (< 5%). The remaining SNPs were 3385, which were used for data analysis using GLM, MLM, and FARM-CPU statistical models corrected with PCA and Kinship to detect significant SNPs. These SNPs were then identified using the Andean whole-genome reference sequence Pvulgaris442_v2.1 for candidate genes within 50 kilobases (50kb) on either side of the SNPs. The results of the study revealed that the SNP density within 1 Megabase (Mb) regions showed significant variation in Pv02, Pv03, Pv04, Pv07, Pv08, and Pv11, indicating that these regions likely contain genes associated with drought tolerance. A total of 7 significant SNPs (S2_48101058, S3_8020543, S7_613684, S7_4257528, S8_57314881, S4_18561541 and S4_40027357) were identified, which yielded 10 candidate genes for drought tolerance. Four genes (Phvul.001G032600, Phvul.001G064300, Phvul.001G063500 and Phvul.001G064000) were reported to be involved in drought-tolerance, response to osmotic stress and response to water stress. The remaining six genes (Phvul.001G031900, Phvul.001G031300, Phvul.001G037000, Phvul.001G037100, Phvul.001G037200 and Phvul.001G067300) were enzymes and proteins responsible for plant growth and development, as well as for their resistance to environmental stress. The findings of the research contribute to the understanding of the genetic basis of drought tolerance in common beans, which can be applied to other crop species and regions. It is recommended that further research should be carried out to determine the functional characterization of the identified genes to better understand the mechanisms of drought tolerance in common beans and to apply the knowledge in breeding programs.