bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Transportation Needs of Underserved Older adults in Rural Communities: A Dual-Perspective Approach
Authors: Yu Jie , Liu Yue , Beimborn Edward 
Published: March 2023

Abstract
Older adults who need transportation assistance in rural communities face more transportation challenges than those in urban environments. Yet, their transportation needs are not well understood. Drawing on the 2021 Older Adult Transportation Survey data in rural Wisconsin, this paper deepened the understanding of important rural transport service features from perspectives of both senior users and service providers. Using the Likert scale analysis, a total of 13 important service features have been selected by both senior users and service providers, which were then grouped into three factors (i.e., basic, technological, and special) by the exploratory factor analysis. Older adults reached consensus with service providers in identifying the most important basic features, but rated the technological features more important than service providers expected. They also showed incompatible preferences on the special features comparing with service providers. Statistical tests were followed to further reveal that the basic features are significantly important for older females and those with mobility device and very limited leisure trips; while the technological features were highly rated by older females and those with younger age and internet access. Special features received different attention depending on older adults’ diverse needs. Service providers of various characteristics exhibited no significant differences on the classified service features. Our findings suggest that rural transport service providers can better support their senior users through advancing the basic service features, promoting age-friendly technologies, and developing value-added special service features to better fit special users’ needs and adapt to local contexts.
MRI Reconstruction with Enhanced Self-Similarity Using Graph Convolutional Network
Authors: Ma Qiaoyu , Lai Zongying , Wang Zi , Qiu Yiran , Qu Biao , Zhang Haotian , Qu Xiaobo 
Published: March 2023

Abstract
Background
Recent convolutional neural network (CNN) performs low-error reconstruction in fast magnetic resonance imaging (MRI). Most of them convolve the image with kernels and have successfully explored the local information. However, the non-local image information, which is embed among image patches that are relatively far from each other, may be lost since the convolution kernel size is usually small. We aim to incorporate a graph to represent non-local information, and improve the reconstructed images by Enhanced Self-Similarity Using Graph Convolutional Network (GCESS).
Methods
First, image is reconstructed into graph to extract the non-local self-similarity in the image. Second, GCESS uses graph convolution and spatial convolution to process the information in the image, so that local and non-local information can be effectively utilized. The network strengthens the non-local similarity between similar image patches while reconstructing images, making the reconstruction details more reliable.
Results
Experimental results on in vivo knee and brain data demonstrate that the proposed method achieves better artifacts suppression and details preservation than state-of-the-art methods, both visually and quantitatively. Under 1D Cartesian sampling with 4x acceleration (AF=4), the PSNR of knee data reached 34.19 dB, 1.05 dB higher than that of the compared methods; the SSIM achieved 0.8994, 2% higher than the compared methods. Similar results were obtained for the reconstructed images under other sampling templates as demonstrated in our experiment.
Conclusions
The proposed method successfully construct a hybrid graph convolution and spatial convolution network to reconstruct images. Along with the network training, the non-local self-similarities are enhanced, and will benefit the image details reconstruction. Experiments demonstrate that the proposed method outperforms the state-of-the-art reconstruction method in suppressing artifacts, as well as in preserving image details.
Computer Vision in Manufacturing: A Bibliometric Analysis and future research propositions
Authors: Sharma Himanshu , Kumar Harish , Gupta Ashulekha , Shah Mohd Asif 
Published: March 2023

Abstract

Computer vision simulates human capabilities and automates the tasks. Its application within the manufacturing context has garnered ample attention and interest from both academics and practitioners. Due to its large-scale applicability and adoption potential, extensive research has been conducted to understand and appreciate it’s working. However, extant research in this domain is rather disjointed, thereby delimiting the otherwise vast scope and knowledge boundaries. Therefore, this study utilizes bibliometric analysis to synthesize extant literature within this field to address this lacuna. This research analyzed 897 articles from Scopus, entailing contributions from 309 journals, 108 countries, 2138 authors and 1334 organizations from 1981 to 2022. Additionally, citation and co-authorship networks are also analyzed to acknowledge prominent authors, organizations, and countries within this domain. The thematic classification of extant literature through bibliographic coupling identified five major thematic areas: automated visual inspection, object tracking and process controlling, real-time monitoring, roughness inspection and profile projection. Importantly, the study uses both knowledge and insights from our findings and scope for future research.
Facile and green synthesis of Pd-decorated alginate/ nanofibrillated cellulose aerogel for simultaneous dye degradation, oil/water separation and oil collection
Authors: Li Yuqi , Zhang Hui , Lin Xiaoying , Gong Lingzhu , Shi Ronghui 
Published: March 2023

Abstract
Water pollution caused by dyeing wastewater discharge, organic chemical reagent leakage and frequent oil spill incidents has received wide international attention. Various methods for the removal of single pollutant from wastewater have been proposed. However, developing advanced materials capable of simultaneously and effectively removing multifarious pollutants from wastewater remains a challenging task. In this study, a novel multifunctional Pd-decorated alginate/nanofibrillated cellulose (Pd@ALG/NFC) aerogel was successfully fabricated through a facile and green in-situ reduction, followed by solution-aerogel conversion strategy. The as-prepared Pd@ALG/NFC aerogel exhibits superior catalytic activity and excellent underwater superoleophobicity, which not only can rapidly degrade methylene blue, but also can continuously and efficiently separate various kinds of organic pollutants and oils from water by gravity. Furthermore, the aerogel is compressible, shape stable and recyclable. All these features make the hybrid aerogel a promising candidate for multi-pollutants wastewater treatment.
Evaluation of life-cycle assessment of Jatropha biodiesel processed by esterification of Thai domestic rare earth oxide catalysts
Authors: Rattanaphra Dussadee , Tawkaewb Sittinun , Chuichulchermb Sinsupha , Kingkam Wilasinee , Nuchdang Sasikarn , Suwanmanee Unchalee 
Published: March 2023

Abstract

The Thai domestic rare earth oxides, including cerium, lanthanum, and neodymium oxides with an effect of calcination temperatures (500–1000 OC), were utilized as catalysts for twelve alternatives Jatropha biodiesel via esterification reaction. This study applied LCA methodology to analyse energy efficiency and global warming impact. The net energy ratios from well-to-wheel of conventional Jatropha biodiesel using the La2O3 catalyst in all condition (0.89−1.02) are found to be potential fuels for substituting conventional diesel (0.86). The global warming impact of the studied conventional Jatropha process from well-to-wheel are 107.8−162.5 kg CO2 equivalent/1000 MJ, which are greater than that of conventional diesel by 18–44%. The results of process energy and global warming analysis showed the strong consumption of electricity use in hydrolysis reactor for converting triglyceride (Jatropha oil) to fatty acid (oleic acid). The net energy ratio values and global warming impact reduction of Jatropha biodiesel utilizing the waste heat of oleic acid, compared to conventional Jatropha biodiesel are 0.82–1.37 and 33.77–36.36%, respectively. The total global warming impact of Jatropha biodiesel with waste heat recovery including land use change typical abundance land into Jatropha crop was 5–45%, which was lower than that of conventional diesel and 47– 58% reduction relative to conventional Jatropha biodiesel. Jatropha biodiesel using La2O3 catalyst with calcination temperature of 600 oC showed the most environmental friendly of all studied fuels with relatively highest energy ratios (1.17–1.37) with and without waste heat recovery and lowest total global warming impact (47.9–70.7) as well as with and without land use change. The integration of material and process development by domestic catalysts and recovery waste heat would improve the sustainability choices of biofuels production from renewable resources for transportation fuels in Thailand.
The gut microbiota of tropical marine fish is largely uncultured and distinct from surrounding water microbiota
Authors: Soh Melissa , Tay Ywee Chieh , Lee Co Sin , Low Adrian , Orban Laszlo , Jafaar Zeehan , Seedorf Henning 
Published: March 2023

Abstract
Marine fishes along with their unique gut microbiotas are at threat of extinction. Studying the gut microbes of marine fishes is an important part of conservation. The gut microbiota of only a small fraction of the more than 32,000 known fish species has been investigated. In this study we analysed the gut microbiota composition of more than 50 different wild fish species from tropical waters. Our results show that the fish harbour gut microbiota that are distinct from that of the surrounding water and that location, domestication status, and host intrinsic factors strongly affect the microbiota composition. Furthermore, we show that the vast majority (~ 97%) of the fish-associated microorganisms do not have any cultured representative. Considering the impact of the microbiota on host health and physiology, these findings underpin the call to preserve the microbiota of host species, especially those that may be exposed to habitat destruction.
The Influence of International Non-Governmental Organizations and Youth Movements in Propelling Global Climate Norms
Authors: Govindaraj Rose , S Samuel Paul Raj 
Published: March 2023

Abstract
Climate change is a gradual variance of the weather pattern that has a long-term impact on the planet at the global level. The twentieth century has witnessed and would endure drastic and severe changes in the earth's temperature. Those climate changes were also expected to occur from earth's orbit variations that modify the amount of solar energy. Growth in population, economies, and standard of living rose the emission of greenhouse gases, which has caused the heat-trapping nature of the earth. The global temperature started rising, oceans melting, sea levels rising, ice sheets declining, melting glaciers, decreasing Arctic Sea ice, melting snow cover, ocean acidification, and many other extreme events are the substantial causes due to climate change. An International Non-Governmental Organization (INGO) plays an important role in environmental issues negotiations and in educating civil society. INGOs supervise the implementation of climate norms in the Framework Convention on Climate Change (FCCC) and the Conference of Parties (COP). Public protest, environmental non-governmental organizations, and the media have abetted to take this issue globally, which alerted people about the deteriorating climate. Youth Climate Movement (YCM) took a new turn in the global politics of climate change as thousands of youths took to the streets demanding to take action on the climate crisis. This paper analyses the involvement and developments of INGOs and the YCM in climate action, how much these INGOs have interacted with the United Nations and also analyses what the causes are and how much climate has exacerbated in the previous year's environmental and geopolitical backgrounds. This paper also explores the extent of the debates and their role in the Sustainable Development Goals (SDG) in this issue.
Calibration of a bond law for sand-coated BFRP reinforcement
Authors: Hofmann Sebastian , Krieger Larissa , Bujotzek Lukas 
Published: March 2023

Abstract
Within the scope of this paper, the bond behaviour of reinforcement made of basalt fibre reinforced polymers (BFRP) with a helically wrapped and sand coated surface is investigated in an experimental test program to evaluate the bond stress - slip relationship. Due to the strongly varying surface condition and material properties, the bond behaviour is expected to be very different compared to the conventional ribbed steel reinforcement. Therefore, the standard vertical pull-out test specimen will be adjusted according to the described bond length.
Based on the obtained experimental results, a bond law for the non-linear increasing branch of the bond stress - slip relationship will be formulated and calibrated for the investigated reinforcement type. The goal of this research program is to use this precise bond law to adjust the analytical model for the calculation of crack spacing and crack width. This adjustment can be made by merging the bond law with the analytical model of bond and slip to obtain a more reliable crack width design for reinforcement types with varying bond properties.
Efficacy of dihydroartemisinin-piperaquine plus primaquine treatment on vivax malaria in North Sumatera, Indonesia: a prospective observational study
Authors: PASARIBU Ayodhia Pitaloka , BIN Ibrahim , NASUTION Irma Sari , LIMAVADY Andrew , FAHMI Fahmi , BONNOT Guillaume , BIENVENU Anne-Lise , PICOT Stephane 
Published: March 2023

Abstract
Objectives. Plasmodium vivax malaria treated with dihydroartemisinin-piperaquine (DHA-PPQ) plus primaquine (PQ) in Indonesia remains challenging. Plasmodium falciparum resistance to DHA-PPQ was documented in Asia and it is suspected that this will also be a concern for P. vivax malaria. Thus, it is needed to test the efficacy on P. vivax regularly.
Methods. Aprospective observational study was conducted at North Labuhan Batu Regency (North Sumatera, Indonesia). The outcomes were clinical and parasitological efficacy of the 3-day DHA-PPQ plus PQ therapy and the prevalence of pvmdr1, pvk12, and pvpm4 molecular markers of chloroquine and DHA-PPQ resistance.
Results. During the 6-months study period, 100 patients were included and four were lost to follow-up. Ninety-six patients were included in the per-protocol analysis. A residual parasitemia was observed for a total of 16 patients: 10 patients on day 7 (10.7%), one patient on day 21 (1.0 %), and five patients on day 28 (5.3%). None of the residual parasitemia based on microscopy was associated with fever or symptoms. None of the molecular markers of ACT resistance was detected among the samples tested.
Conclusions. This study did not provide evidence of a decreased efficacy of DHA-PPQ plus PQ regimen against P. vivax, but it highlighted the need for active surveillance of ACT efficacy, as it may be a warning signal before clinical therapeutic failure. A decreased sensitivity of P. vivax in North Sumatera would be an essential threat for Indonesia on its path toward malaria elimination.
Detection of Cystoisospora belli among Children in Sulaimaniyah, Iraq
Authors: Ali Fatimah Mohammed 
Published: March 2023

Abstract
Background: Cystoisospora belli inhabits the epithelium of the upper human small intestine, producing resistant oocysts that are infrequently detected in stool specimens but can spread and cause infection.
Objectives: To determine the rate of C. belli infection among children and correlate the rate of infection with the patient's variables.
Patients and Methods: In this cross-sectional study, 156 fresh stool samples were collected from children suffering from diarrhoea or abdominal discomfort in Dr Jamal Ahmed Rashid Pediatric Teaching Hospital, Sulaimaniyah, Iraq, from July to August 2021. Slides for direct wet mount and fixed smears stained with modified Ziehl-Neelson stain were prepared for each sample. Additionally, the correlation between the bacterial infection rate and patients' variables (age, gender, residency, duration of infection, and type of drinking water/stool) was determined.
Results: None examined stool samples were positive for C. belli oocyst by direct wet mount technique, while the modified ZN staining method revealed 42 (26.92%) positive samples. The highest rate of C. belli infection (15.38%) was found among children aged 4-6 years (p=0.000), male patients (15.38%), patients who lived in an urban area (23.08%) (p≥0.05), had infection for 1-3 days (15.38%) (p=0.038), took bottle water (15.38%) (p=0.02), and patients had liquid/semiliquid stool type (11.54%) (p=0.485). On the other hand, modified ZN stain showed coinfections with other protozoa, including Cryptosporidium spp., Microsporidia spp., Cyclospora spp. and Blastocyst hominins at rates of 10.26%, 5.13%, 3.85% and 1.28%, respectively.
Conclusion: There was a relatively high rate of C. belli infection among children in Sulaimaniyah, Iraq, despite other types of protozoa.
Recent progress on anti-nociceptive effects of carbon monoxide releasing molecule-2 (CORM-2)
Authors: Khir Nurul Ajilah Mohamed , Noh Ain' Sabreena Mohd , Long Idris , Zakaria Rahimah , Ismail Che Aishah Nazariah 
Published: March 2023

Abstract
The role of carbon monoxide (CO) has evolved albeit controversial disputes on its toxicity. This biological gasotransmitter participates in the endogenous regulation of neurotransmitters and neuropeptides released in the nervous system. Exogenous CO gas inhalation at a lower concentration has been the subject of investigations, which have revealed its biological homeostatic mechanisms and protective effects against many pathological conditions. This therapeutic procedure of CO is, however, limited due to its immediate release, which favours haemoglobin at a high affinity with the subsequent generation of toxic carboxyhaemoglobin in tissues. In order to address this problem, carbon monoxide releasing molecule-2 (CORM-2) or also known as tricarbonyldichlororuthenium II dimer is developed to liberate a controlled amount of CO in the biological systems. In this review, we examine several potential mechanisms exerted by this therapeutic compound to produce the anti-nociceptive effect that has been demonstrated in previous studies. This review could shed light on the role of CORM-2 to reduce pain, especially in cases of chronic and neuropathic pain.
A bioassay method validation framework for laboratory and semi-field tests used to evaluate vector control tools
Authors: Matope Agnes , Lees Rosemary S , Spiers Angus , Foster Geraldine M 
Published: March 2023

Abstract
Vector control interventions play a fundamental role in the control and elimination of vector-borne diseases. The evaluation of vector control products relies on bioassays, laboratory and semi-field tests that use live insects, to assess the product’s effectiveness. Bioassay method development requires a rigorous validation process to ensure that relevant methods are used that capture appropriate entomological endpoints which accurately and precisely describe likely efficacy against disease vectors as well as product characteristics within the manufacturing tolerance ranges for insecticide content specified by the World Health Organisation. Currently, there are no standardised guidelines for bioassay method validation in vector control. This report presents a framework for bioassay validation that draws on accepted validation processes from the chemical and healthcare fields and which can be applied for evaluating bioassays and semi-field tests in vector control. The validation process has been categorised into four stages: preliminary development; feasibility experiments; internal validation, and external validation. A properly validated method combined with an appropriate experimental design and data analyses that account for both the variability of the method and the product is needed to generate reliable estimates of product efficacy to ensure that at-risk communities have timely access to safe and reliable vector control products.
A Machine Learning-based Diagnosis and Prediction of Diabetes Mellitus Disease
Authors: Thotad Puneeth N 
Published: March 2023

Abstract
Traditional diagnostic techniques are prone to human error and time consuming. Computer-aided diagnostic techniques improve the performance and reduce the expenses. This paper presents machine learning based classifiers to detect diabetes in India and Indian Demographic & Health Survey (2019–21) dataset is considered for the analysis. Classifiers like Support Vector Machine, Decision Tree, Extreme Gradient Boosting, and Random Forest are considered. Principal Component Analysis is used for feature reduction. Hyperparameters are tuned to achieve good performance of the classifiers. The four phases adopted in the work include preprocessing, feature extraction, classification, and analysis. From the results, the Random Forest has given the maximum classification accuracy, precision, recall, and area under the curve in comparison with other models. The work finds application in healthcare for predictive analysis of diabetes.
Maximizing Penetration Testing Success with Effective Reconnaissance Techniques using ChatGPT
Authors: Temara Sheetal 
Published: March 2023

Abstract
ChatGPT is a generative pretrained transformer language model created using artificial intelligence implemented as chatbot which can provide very detailed responses to a wide variety of questions. As a very contemporary phenomenon, this tool has a wide variety of potential use cases that have yet to be explored. With the significant extent of information on a broad assortment of potential topics, ChatGPT could add value to many information security uses cases both from an efficiency perspective as well as to offer another source of security information that could be used to assist with securing Internet accessible assets of organizations. One information security practice that could benefit from ChatGPT is the reconnaissance phase of penetration testing. This research uses a case study methodology to explore and investigate the uses of ChatGPT in obtaining valuable reconnaissance data. ChatGPT is able to provide many types of intel regarding targeted properties which includes Internet Protocol (IP) address ranges, domain names, network topology, vendor technologies, SSL/TLS ciphers, ports & services, and operating systems used by the target. The reconnaissance information can then be used during the planning phase of a penetration test to determine the tactics, tools, and techniques to guide the later phases of the penetration test in order to discover potential risks such as unpatched software components and security misconfiguration related issues. The study provides insights into how artificial intelligence language models can be used in cybersecurity and contributes to the advancement of penetration testing techniques.