bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping Of Population Behaviour During The Early Phase Of COVID19 Disease Spread In Kota Kinabalu, Sabah Using PCA-GIS
Authors: Kalang Lizalin Anak , Eboy Oliver V 
Published: July 2022

AbstractCoronavirus 2019 (COVID19) has now become a pandemic. In the early stages of the pandemic, Kota Kinabalu was one of the districts in Sabah with the greatest number of COVID19 positive cases. Despite the government’s announcement of the Movement Control Order (MCO), some residents were unable to follow the rules. As a result, the number of COVID19 positive cases in Sabah has increased, particularly in the Kota Kinabalu district. The increase of COVID 19 cases is indeed influenced by the behavior of the population in a place. The behavior of the population during previous pandemics has already shown how human attitudes can affect the spread of disease in the area. In Sabah, it is also seen to occur, such as violating the movement control order. Due to a shortage of manpower, it is difficult to identify and monitor residents who violate this MCO. Geographical factors in Sabah are also among the reasons why authorities find it difficult to keep control over all areas. In addition, the lack of technology, such as Geographic Information System (GIS), has made it difficult for authorities to monitor all locations. As a result, using Principal Component Analysis (PCA), this study was undertaken to identify the primary determinants of population behaviour that cause the spread of COVID19, which was then mapped using Geographic Information System (GIS). Only zones that registered positive cases of COVID19 from March to August 2020 were included in this study, which included a total of 100 respondents in the Kota Kinabalu area. Population behaviour, factor location, and responder location are among the data sources. To investigate the pattern of population behaviour in Kota Kinabalu, this study used factor analysis using PCA and the classification method using GIS. The study’s findings include a behaviour pattern map for the Kota Kinabalu district, which influences COVID19 distribution in the early phases of the pandemic. This study can assist various parties in identifying a potential area in Kota Kinabalu that has a high risk of COVID19 infection.
Terrain Mapping for the Southwestern Desert of Iraq Using Interferometry Method from Sentinel-1A Images
Authors: Aryan M , Rasib Abd Wahid Bin 
Published: July 2022

Abstract
Synthetic aperture radar Interferometry is a popular three-dimensional imaging technique for creating a Digital Elevation Model. Using traditional methods for creating DEMs and terrain mapping is one of the methods that require high cost and time-consuming, which has affected the creation and updating of terrain maps in Iraq, so this study aims to use the InSAR technology to generate DEM, which contributes to the creation of terrain maps. In this work, the synthetic aperture radar interferometry approach was used on the interference stack generated from a pair of Sentinel-1A images within the SNAP program to generate a DEM and a terrain map of the desert region in south-western Iraq. The elevations of the digital elevation model were compared with those of the RTK-GCPs points in the region of interest. The results obtained from this study are a terrain map with the contour lines generated from the digital elevation model created by the InSAR technique with an accuracy of 18 m, with the root mean square error of the DEM being 8.17. The outputs prove the effectiveness of InSAR technology in generating accurate DEM that contributes to creating terrain maps in less time and cost than traditional methods.
Development of WebGIS using open source geospatial technologies for Krau Wildlife Reserve
Authors: Azmi N A , Shafri H Z M , Abidin F A Z , Shaharum N S N , Al-Habshi M M A 
Published: July 2022

Abstract
Malaysia has a significant amount of biodiversity and has developed protected areas to conserve and sustain this tremendous degree of biodiversity. A protected area is known for its recognized natural, ecological or cultural values. However, the protected areas confront many obstacles, including poor or non-existent management plans. Remote sensing and Geographic Information Systems (GIS) can help with the speedy and cost-effective identification of biodiversity and environmentally sensitive areas. WebGIS (Web-based GIS) is useful for simplifying complicated geographical and temporal data on biodiversity such as the existence of threatened species, protected areas, and as well as on socially and environmentally significant ecosystem services. This study aimed to produce a WebGIS platform for Krau Wildlife Reserve (KWR) protected area using geospatial remote sensing and GIS data. The developed WebGIS played an important role in evaluating human activities near KWR that may impact the ecology and result in the extinction of natural habitats.
Landslide Exposure Mapping Using GIS Utilization
Authors: Mokhtar MRM , Ir m , Wahab Suriani Ngah Abdul , Husain Mohd Najib , Hashim Haslina 
Published: July 2022

Abstract
There are various methods that had been implemented by many researchers in the previous studies regarding to the monitoring of landslides. At present, is it possible to predict the location of potential landslide occurrence. However, there limitations and constraints in methods that are being implemented and consequently better methods are necessary to improve the monitoring of landslides. Most of the methods discussed cannot be implemented in areas that are inaccessible and dangerous taking as example steep slopes nearby a highway. In addition, monitoring of slopes using existing methods require extensive manpower in the study area, the period of time to obtain complete information is quite long and the total budget is high. Therefore, in order to effectively address the concerns mentioned above, this research study proposes a novel method of monitoring landslides by Close Range Photogrammetry (CRP) as a platform for collecting data especially in areas that are not accessible. Finally, the slope profile depicting soil displacement and physical changes is extracted and analyzed using the DEM covering the potential landslide area. The information is obtained through accurate assessment and used to create a 3D model which would be used for monitoring technique applications. The landslide can be detected by calculation of two different epoch data achieved from Digital Elevation Model (DEM) generation. The paper focuses on observations of the studied area based on DEM area and volume generated from 3D surface analysis.
Detection and classification of land cover change using ISOCLUST classifier and Land Change Modeler
Authors: Syarif Ahmad , Ramdani Fatwa 
Published: July 2022

Abstract
The agricultural sector is a mainstay sector in the Indonesian economy. The government can detect and classify land cover change phenomena using remote sensing technology to present agricultural improvement solutions. Remote sensing is an effective tool for monitoring change that occurs continuously and in a large area. This technology can record the earth’s surface from a height of hundreds of kilometers in outer space. This paper uses the ISOCLUST classifier (by producing 6 classes) and Land Change Modeler on Landsat image data in the study area located in Malang Regency, East Java Province. ISOCLUST is an iterative supervised/unsupervised hybrid classifier. Land Change Modeler is an innovative land planning and decision support software that simplifies change analysis, resource management, and habitat assessment. The results of the study using ISOCLUST showed that the overall Kappa was in medium category, 0.4018 and 0.5711. The agriculture area increased to 14.94%, the open forest area increased to 6.46% between 2015 and 2020, while sparse vegetation decreased by 19.36%. The process of detection and classification of land cover using the ISOCLUST classifier and Land Change Modeler shows that the use of remote sensing satellite data is still a consideration in government policy recommendations.
A systematic study of climate change impact on fish and fisheries sector in Bangladesh and role of Geospatial science in mitigation
Authors: Sunny Bishwajit Karmakar , prapti Dipika Roy 
Published: July 2022

Abstract
Aquaculture is the world’s fastest-growing food-producing sector, with a mean annual growth rate of 5.3% during 2001–2018. Bangladesh, despite being a densely populated and small country, has managed to ensure its high position in this growing economy. Despite widespread benefits, aquaculture in Bangladesh has recently encountered concerns due to climate change, as several climatic threats to fish production have been recognized. It is high time for Bangladesh to try to find an adaptive measure to cope with the adverse effect of climate change, especially in coastal areas. This study will identify the climate change impact on fish in Bangladesh aquaculture and propose how geospatial technology can be utilized to resolve these issues through a systematic literature review from available of past 5 years. The study is expected to benefit the beneficiaries such as aquafarmers, researchers, scientists, and policymakers to resolve the climate-related issues on Bangladesh aquaculture for sustainable production.
Integration of Lidar system, mobile laser scanning (MLS) and unmanned aerial vehicle system for generation of 3d building model application: A review
Authors: Room M H M , Anuar A 
Published: July 2022

Abstract
Nowadays, 3D modelling has become very important because real information can be extracted from the model. UAV is system that was used for developing the 3D model and has proven capable to produce good results. However, the exploration of the integration of UAV with other technology like LiDAR and MLS to develop a more accurate and detailed model is still lacking. This study reviews the aptitudes of the UAV integrated with LiDAR and MLS for developing the 3D building model in Malaysia. Several issues, like type of platform, quality of 3D model and others to review the capabilities of the UAV used for producing very accurate 3D model were critically analysed. Previous research suggests that integration of Lidar with multi-rotor platform fusing with MLS could be used to construct an accurate 3D model. A dense point cloud of the whole building can be obtained from the fusion between Lidar and MLS. Moreover, an accurate 3D model can be generated from this process as the point-cloud from LiDAR and MLS has positional accuracy in centimetre level compared to a non-metric camera integrated with a UAV. This study finds the UAV has the potential to use to produce a quality 3D model.
Vapor–liquid assisted chemical vapor deposition of Cu2X materials
Authors: Shehzad M Arslan , Lee Yea-Shine , Cheng Matthew , Lebedev Dmitry , Tyner Alexander C , Das Paul Masih , Gao Zhangyuan , Goswami Pallab , dos Reis Roberto , Hersam Mark C , Chen Xinqi , Dravid Vinayak P 
Published: July 2022

Abstract
Transition metal dichalcogenides (TMDs) are known for their layered structure and tunable functional properties. However, a unified understanding on other transition metal chalcogenides (i.e. M2X) is still lacking. Here, the relatively new class of copper-based chalcogenides Cu2X (X = Te, Se, S) is thoroughly reported. Cu2X are synthesized by an unusual vapor–liquid assisted growth on a Al2O3/Cu/W stack. Liquid copper plays a significant role in synthesizing these layered systems, and sapphire assists with lateral growth and exfoliation. Similar to traditional TMDs, thickness dependent phonon signatures are observed, and high-resolution atomic images reveal the single phase Cu2Te that prefers to grow in lattice-matched layers. Charge transport measurements indicate a metallic nature at room temperature with a transition to a semiconducting nature at low temperatures accompanied by a phase transition, in agreement with band structure calculations. These findings establish a fundamental understanding and thrust Cu2Te as a flexible candidate for wide applications from photovoltaics and sensors to nanoelectronics.
Iris Murdoch and the Immoralities of Adaptation
Authors: Wolfe Graham 
Published: July 2022

Abstract
Author of twenty-six novels between 1954 and 1995, Iris Murdoch ventured sporadically into theatre, completing two plays and adapting four of her novels. While she has been the subject of numerous articles and monographs, she has not received much critical attention for these theatrical efforts. Her adaptations, especially the two that she completed most independently—The Black Prince and The Sea, The Sea—are barely mentioned in critical accounts. Focusing on these two works, this article suggests not simply that a closer look reveals previously unperceived strengths and potentials; it argues that Murdoch’s adaptations are provocative and worthy of further study precisely because they are so paradoxical, difficult to reconcile not only with her aesthetic concerns but with her philosophical and ethical positions. Put differently, while other novelists might write theatrical adaptations that are not very good, Murdoch’s raise the question of whether adaptation may indeed be an immoral enterprise. Approaching The Black Prince and The Sea, The Sea from this angle will provoke a reconsideration of Murdoch’s own critical writings on character and on the differing affordances of theatrical forms and novel forms, while also casting new light on the challenges of adapting first-person novels for the stage.
Fetal and Childhood Exposure to Parental Tobacco Smoking and Arterial Health at Age 10 Years
Authors: Monasso Giulietta S , Felix Janine F , Gaillard Romy , Jaddoe Vincent W V 
Published: July 2022

Abstract

BACKGROUND
Exposure to parental tobacco smoking during fetal life and childhood is associated with adverse cardiovascular health outcomes. It is not known whether these adverse parental lifestyle exposures are also associated with changes in the structure and function of the carotid arteries in children aged 10 years.

METHODS
In a population-based prospective cohort study among 4,639 healthy children, we examined the associations of fetal exposure to maternal (no, first trimester only, continued), paternal (no, yes), and combined parental tobacco smoking (nonsmoking parents, mother only, father only, both parents smoked) with carotid intima-media thickness and distensibility at 10 years. We also assessed the associations of exposure to any parental tobacco smoking at ages 6 and 10 years with these outcomes.

RESULTS
Compared with no exposure, fetal exposure to continued maternal smoking was not associated with carotid intima-media thickness (−0.04 standard deviation score (SDS); 95% confidence interval (CI): −0.13, 0.05); and distensibility (0 SDS, 95% CI: −0.09, 0.09) at age 10 years. Fetal exposure to two smoking parents was also not associated with carotid intima-media thickness (−0.07 SDS, 95% CI: −0.16, 0.02) and distensibility (0 SDS, 95% CI: −0.09, 0.10) at this age. Exposure to any parental smoking during childhood also was not associated with these outcomes at age 10 years.

CONCLUSIONS
Exposure to parental tobacco smoking during fetal life and childhood was not associated with markers of arterial health in children aged 10 years. Prevention strategies aiming at minimizing smoke exposure later in life are still relevant regarding arterial health.
Prevalence of Apparent Treatment–Resistant Hypertension in ESKD Patients Receiving Peritoneal Dialysis
Authors: Vareta Georgia , Georgianos Panagiotis I , Vaios Vasilios , Sgouropoulou Vasiliki , Georgianou Eleni I , Leivaditis Konstantinos , Mavromatidis Konstantinos , Dounousi Evangelia , Papagianni Aikaterini , Balaskas Elias V , Zebekakis Pantelis E , Liakopoulos Vassilios 
Published: July 2022

Abstract

BACKGROUND
Apparent treatment–resistant hypertension (aTRH) is defined as failure to achieve adequate blood pressure (BP) control despite taking ≥3 antihypertensive medications from different categories or when taking ≥4 antihypertensives regardless of BP levels.

METHODS
In this cross-sectional study, we estimated the prevalence of aTRH in 140 patients receiving long-term peritoneal dialysis (PD) in four centers of Northern Greece, using the “gold-standard” method of ambulatory BP monitoring for the assessment of BP control status. The presence of subclinical overhydration was evaluated with the method of bioimpedance spectroscopy (BIS).

RESULTS
Incorporating the diagnostic threshold of 130/80 mmHg for 24-hour ambulatory BP, the prevalence of aTRH in the overall study population was 30%. Compared to patients without aTRH, those with aTRH tended to be older in age, had higher PD vintage, had higher dialysate-to-plasma creatinine ratio, had more commonly history of diabetes mellitus, and were more commonly current smokers. With respect to the volume status, the overhydration index in BIS was higher in those with versus without aTRH (2.0 ± 1.9 L vs. 1.1 ± 2.0 L, P &lt; 0.05). The prevalence of volume overload, defined as an overhydration index in BIS &gt; 2.5 L, was also higher in the subgroup of patients with aTRH (38.1% vs. 18.4, P = 0.01).

CONCLUSION
The present study showed that among patients on PD, the prevalence of aTRH was 30%. However, 38% of PD patients with aTRH had subclinical overhydration in BIS, suggesting that the achievement of adequate volume control may be a therapeutic opportunity to improve the management of hypertension in this high-risk patient population.
The present study showed that among patients on PD, the prevalence of aTRH was 30%. However, 38% of PD patients with aTRH had subclinical overhydration in BIS, suggesting that the achievement of adequate volume control may be a therapeutic opportunity to improve the management of hypertension in this high-risk patient population.

CLINICAL TRIALS REGISTRATION
Trial Number NCT03607747
The Use of a Novel Artificial Intelligence Platform for the Evaluation of Rhytids
Authors: Yoelin Steve , Green Jeremy B , Dhawan Sunil S , Hasan Fauad , Mahbod Brom , Khan Bashir , Dhawan Akash S 
Published: July 2022

Abstract

Background
Artificial intelligence (AI) platforms are increasingly being utilized in various healthcare applications. There are few platforms that provide quantifiable assessments of dermatologic or aesthetic conditions by employing industry established scales.

Objectives
The authors sought to report the results of a pilot study that evaluated the utilization and functionality of an AI engine to measure and monitor rhytids (fine lines). For this study, glabellar frown lines were employed as the clinical model.

Methods
Seventy-one patients were enrolled and monitored remotely employing current high-quality mobile phone cameras over a 14-day period. The patients were prompted to take photographs employing this platform at preset intervals, and these photographs were then rated by the AI platform and qualified raters experienced in the field of facial aesthetics.

Results
The AI platform had concordance with 2 qualified raters of 46% to 68%, and the inter-rater concordance between 2 rates ranged from 44% to 66%. The intra-rater concordance for the raters was between 57% and 84%, whereas the AI platform had a 100% concordance with itself. The participant and investigator satisfaction ratings of the platform were high on multiple dimensions of the platform.

Conclusions
This AI platform evaluated photos on a comparable level of accuracy as the qualified raters, and it evaluated more consistently than the qualified raters. This platform may have high utility in clinical research and development, including the management of clinical trials, and efficient management of patient care at the clinical practices.
Understanding the effects of serotonin in the brain through its role in the gastrointestinal tract
Authors: Shine James M , O’Callaghan Claire , Walpola Ishan C , Wainstein Gabriel , Taylor Natasha , Aru Jaan , Huebner Bryce , John Yohan J 
Published: July 2022

Abstract
The neuromodulatory arousal system imbues the nervous system with the flexibility and robustness required to facilitate adaptive behaviour. While there are well understood mechanisms linking dopamine, noradrenaline and acetylcholine to distinct behavioural states, similar conclusions have not been as readily available for serotonin. Fascinatingly, despite clear links between serotonergic function and cognitive capacities as diverse as reward processing, exploration, and the psychedelic experience, over 95% of the serotonin in the body is released in the gastrointestinal tract, where it controls digestive muscle contractions (peristalsis).
Here, we argue that framing neural serotonin as a rostral extension of the gastrointestinal serotonergic system dissolves much of the mystery associated with the central serotonergic system. Specifically, we outline that central serotonin activity mimics the effects of a digestion/satiety circuit mediated by hypothalamic control over descending serotonergic nuclei in the brainstem. We review commonalities and differences between these two circuits, with a focus on the heterogeneous expression of different classes of serotonin receptors in the brain. Much in the way that serotonin-induced peristalsis facilitates the work of digestion, serotonergic influences over cognition can be reframed as performing the work of cognition. Extending this analogy, we argue that the central serotonergic system allows the brain to arbitrate between different cognitive modes as a function of serotonergic tone: low activity facilitates cognitive automaticity, whereas higher activity helps to identify flexible solutions to problems, particularly if and when the initial responses fail.
This perspective sheds light on otherwise disparate capacities mediated by serotonin, and also helps to understand why there are such pervasive links between serotonergic pathology and the symptoms of psychiatric disorders.
GITR agonistic stimulation enhances the anti-tumor immune response in a mouse model of ESCC
Authors: Wiles Kelsey Nicole , Tsikretsis Lia Elyse , Alioto Cara Maria , Hermida de Viveiros Pedro Antonio , Villaflor Victoria Meucci , Tétreault Marie-Pier 
Published: July 2022

Abstract
Esophageal cancer is a significant health burden in the United States and worldwide and is the 8th leading cause of cancer-related death. Over 90% of esophageal cancers are squamous cell cancers (ESCC). Despite the development of new therapies, the overall 5-year survival rate remains lower than 20%. Recent clinical trials of immunotherapy approaches in ESCC have shown that blocking PD-1/PD-L1 interactions can reduce tumor burden and increase survival, but this only occurs in a fraction of patients. This emphasizes the need for additional therapeutic options to improve overall response rates, duration of response, and overall survival. Glucocorticoid-induced TNFR-related protein (GITR) stimulation has emerged as a promising immunotherapy target, as its stimulation appears to promote tumor regression. In this study, we evaluated the consequences of GITR agonistic stimulation with the DTA-1 antibody (anti-GITR agonist) on esophageal squamous cell carcinoma (ESCC) progression. Increased expression of GITR was observed in esophageal tumors from ESCC patients in comparison to normal adjacent tissue and in a mouse model of ESCC. 100% of mice treated with 4-NQO/IgG control antibody developed invasive squamous cell carcinoma. Less advanced esophageal tumors were seen in mice treated with 4-NQO/anti-GITR agonist compared to 4-NQO/IgG treatment. 4-NQO/anti-GITR agonist-treated mice demonstrated a significant increase in mucosal CTL/Treg ratios as well as decreased gene expression profiles of pathways related to esophageal squamous cell carcinogenesis. Thus, GITR agonism merits further study as a treatment strategy for ESCC patients.