bluuebunny/crossref_metadata_2025_split huggingface dataset:
Symptom severity and complexity trends in patients undergoing radiation therapy
Authors: Yannitsos Demetra , Qi Siwei , Davies Oluwaseun , Watson Linda , Barbera Lisa 
Published: August 2023

Abstract
Objective: Symptom severity has considerable impact on patients’ cancer care journey. This study aims to better understand psychological and physical symptom scores of radiotherapy patients across their radiotherapy care trajectory.
Methods: Patients who received radiotherapy at a single tertiary cancer center, who also completed at least one symptom-reporting questionnaire, the Edmonton Symptom Assessment Scale – Revised (ESAS-r) between October 1, 2019 and April 1, 2020 were included in this retrospective analysis. Within the study period, time points included consultation, first and last radiation treatment reviews and first post-treatment follow-up. Symptoms were divided into psychological and physical. Mixed effect models assessed trajectories of psychological and physical scores across appointments. A symptom complexity score was assigned to each ESAS-r encounter. Symptom complexity score association with appointment type and tumor group was modelled using Generalized Estimating Equations (GEE).
Results: The study cohort consisted of 1,632 patients who completed 2,519 ESAS-r questionnaires. Patients reported significantly higher psychological symptom scores at consultations than at first review, last review and follow-up. Patients reported significantly higher physical scores at last reviews compared to consultations. Patients at first review had significantly lower odds of having a higher (more severe) symptom complexity score, compared with patients at consultations (OR =0.77, 95% CI=0.64-0.93).
Conclusions: Symptoms change over the course of a patient’s care trajectory. Understanding how particular symptoms change over time provides a target for initiatives that improve symptom management.
Aloe ×vera: A New High Gel Yielding Natural Hybrid of Aloe vera from CSIR- NBRI Botanical Garden
Authors: Banyal Sudesh Kumar , Srivst Shalini , Bahadur Lal 
Published: August 2023

Abstract
In recent years, plant breeders have been developing new hybrids of Aloe vera to increase the yield of the plant's gel. One natural hybrid Aloe ×vera has been shown to yield at least two times more gel than traditional A. vera plants. This hybrid has been carefully selected to combine the desirable traits of several different A. vera varieties, resulting in a plant with a higher gel content and a more robust growth habit and disease resistance. The increased gel yield of this hybrid is highly desirable for commercial cultivation, as it can significantly improve the efficiency of gel processing operations. Additionally, this hybrid has been found to possess enhanced medicinal properties, making it an ideal choice for the health and wellness industry. Overall, the development of this high-yielding hybrid represents a significant advancement in the field of plant breeding and offers exciting opportunities for those involved in the A. vera industry.
Synergy of adsorption and solar photoreduction for removal Cr(VI) with spinel CuFe2O4
Authors: Benaissa Sihem , Alouache Ali , Kaid Hamza , Berrahou Ghezlane , Boudjemaa Amel , Dib Khaoula 
Published: August 2023

Abstract
The synergy effect between adsorption and solar photocatalysis to remove Cr (VI) is a new approach which is environmentally friendly and sustainable development technology. the choice of photocatalyst is crucial for achieving better performance in adsorption and photocatalytic reactions. The CuFe2O4 catalysts with a spinel structure was synthesized by co-precipitation and sol-gel methods, and characterized by X-ray diffraction (XRD), Brunauer, Emmett and Teller (BET) surface area, scanning electron microscopy (SEM), Raman and Fourier transform infrared spectroscopy (FTIR). The results of this study show that the CuFe2O4-co is an excellent adsorbent and photocatalyst simultaneously for Cr (VI) removal, this activity is correlated to it structural, textural properties and a relatively narrow band gap. The catalyst is mainly crystallized in cubic inverse spinel structure, and exhibit a large pore size facilitates the accessibility of active sites by chromium ions on the surface, and which can also improve absorbed light penetration. Moreover, UV–vis diffuse reflectance spectrum (UV–vis DRS) show that the catalyst has a low band gap energy (Eg=1.2 eV), allowing a broader absorption spectrum, which enhances it capability to generate electron-hole pairs under visible light of solar irradiation.We investigated the effects of oxalic acid as a reducing agent, preparation technique, catalyst concentration, and initial dose of Cr (VI) in this research. The optimum catalyst and pollutant concentrations are 0.25g/L and 25 g/L, respectively, with a 100% reduction of Cr(VI) to Cr(III) accomplished within 1 hour.
Radiomics for differentiation of gliomas from primary central nervous system lymphomas: a systematic review and meta-analysis
Authors: Garaba Alexandru , Aslam Nummra , Ponzio Francesco , Awadhi Abdullah Al , Panciani Pier Paolo , Brinjikji Waleed , Fontanella Marco , De Maria Lucio 
Published: August 2023

Abstract
Purpose: Numerous radiomics-based models have been proposed to discriminate between central nervous system (CNS) gliomas and primary central nervous system lymphomas (PCNSLs). Given the heterogeneity of the existing models, we aimed to define their overall performance and identify the most critical variables to pilot future algorithms.
Methods: A systematic review of the literature and a meta-analysis were conducted, focusing on studies reporting on radiomics to differentiate gliomas from PCNSLs. A comprehensive literature search was performed through PubMed, Ovid MEDLINE, Ovid EMBASE, Web of Science, and Scopus databases. Overall sensitivity (SEN) and specificity (SPE) were estimated. Event rates were pooled using a random-effects meta-analysis, and the heterogeneity was assessed using the χ2 test.
Results: The overall SEN and SPE for differentiation between CNS gliomas and PCNSLs were 88% (95% CI = 0.83 – 0.91) and 87% (95% CI = 0.83 – 0.91), respectively. The best-performing features were the Gray Level Run Length Matrix (GLRLM; ACC 97%), followed by the Neighboring Gray Tone Difference Matrix (NGTDM; ACC 93%), and shape-based features (ACC 91%). The 18F-FDG-PET/CT was the best-performing imaging modality (ACC 97%), followed by the MRI CE-T1W (AUC 87% - 95%). Most studies applied a cross-validation analysis (92%).
Conclusion: The current SEN and SPE of radiomics to discriminate CNS gliomas from PCNSLs are high, making radiomics a helpful method to differentiate these tumor types. The best-performing features are the GLRLM, NGTDM, and shape-based features. The 18F-FDG-PET/CTimaging modality is the best-performing, while the MRI CE-T1W is the most used.
Reconstructing sunspot number by forward-modelling open solar flux
Authors: Owens Mathew J. , Lockwood Mike , Barnard Luke A. , Usoskin Ilya , Hayakawa Hisashi H. , Pope Benjamin J.S. , McCracken Ken 
Published: August 2023

Abstract
The open solar flux (OSF) is the integrated unsigned magnetic flux leaving the top of the solar atmosphere to form the heliospheric magnetic field (HMF). As the HMF modulates the intensity of galactic cosmic rays at Earth, the production rate of cosmogenic isotopes – such as 14C and 10Be stored in tree rings and ice sheets – is closely related to the OSF. Sunspots are related to the production of OSF and this provides the possibility of converting OSF to sunspot number (SSN) in order to reconstruct properties of the solar cycles prior to the first sunspot telescopic observations in 1610. While models exist for estimating OSF on the basis of sunspot number, the hysteresis present in OSF and the lack of a priori knowledge of solar cycle phase means that inverting these models is not possible. We here describe a new method that uses a forward model of OSF to estimate SSN and solar cycle phase through a Monte Carlo approach. The method is tested by application to geomagnetic reconstructions of OSF over the period 1850-present and comparison to the known SSN. There is a substantial improvement in reconstruction of both the SSN time series and the solar cycle start dates compared with a simple OSF-SSN regression. This suggests more accurate solar cycle information can be extracted from annual cosmogenic isotope records by this method.
Functionalizing of Polydimethylsiloxane with Cell Shape Imprinting and Nano Layer Hydroxyapatite-Coating to Accelerate Osteoblast Proliferation and Differentiation
Authors: Morteza Mehrjoo , Karkhaneh Akbar , Nazarpak Masoumeh Haghbin , Alishahi Mostafa , Bonakdar Shahin 
Published: August 2023

Abstract
Bone repair in elderly individuals is challenging due to slower regeneration rates. To enhance stem cell response and tissue repair, biomimetic substrates with physical and chemical stimuli are investigated. Here, we optimized osteoblast patterns on polydimethylsiloxane (PDMS) substrates and deposited a nano layer of hydroxyapatite (nHA) using a sputtering technique to mimic the bone extracellular matrix (ECM) and improve differentiation. Substrate morphology, tensile strength, and biocompatibility were assessed. Differentiation and proliferation were evaluated using various staining techniques and real-time PCR. The results showed effective printing of cell patterns on substrates, with no alteration in surface topography following nHA deposition. All substrates exhibited good cytocompatibility. The combination of nHA as a chemical stimulus and cell patterns as a physical stimulus increased stem cell differentiation significantly, as evidenced by enhanced alkaline phosphatase (ALP) activity on nHA-coated substrates (97%). Real-time PCR analysis revealed higher expression of osteoblast-specific genes (RNX2 and OSC) on nHA-coated patterned substrates. The simultaneous physical and chemical changes in the cell environment promoted increased differentiation and proliferation during each step of stem cell differentiation. In conclusion, these substrates hold promise as a viable method for bone regeneration, providing valuable insights for tissue engineering application.
Techno-Economic Analysis of Hybrid Renewable Power Generation System Under Different Climatic Zones in India
Authors: Baghel Neelam , K. Manjunath , Kumar Anil 
Published: August 2023

Abstract
This research focuses on the techno-economic analysis of hybrid renewable energy systems (HRESs) for power generation under different climatic zones i.e., composite, temperate, cold, warm and humid, and hot and dry. The system is modelled and simulated based on meteorological data of New Delhi, Bangalore, Srinagar, Kolkata and Jodhpur. It consists of a solar photovoltaic system (PV), a wind turbine, a fuel cell, a converter, an electrolyzer, and a hydrogen tank. Srinagar has the highest total net present cost (NPC) of 57,44,105.53 US$ whereas Bangalore has the lowest NPC i.e., 34,01,103.82 US$. Hydrogen production range is between 1955 to 1963 kg/yr for all climatic zones. Solar PV power is reasonably good for all climatic zones whereas wind power is not suitable for colder zones, but it is proven to be quite good for hot and dry climatic conditions. Therefore, installing a HRES according to the climatic conditions will provide a sustainable and dependable energy solution that solves climate issues, improves energy security, and encourages ecological responsibility.
Droplet detachment force and its relation to Young-Dupre adhesion
Authors: Daniel Dan , Koh Xue Qi 
Published: August 2023

Abstract
Droplets adhere to surfaces due to their surface tension γ and understanding the vertical
force Fd required to detach the droplet is key to many technologies (e.g., inkjet printing, optimal
paint formulations). Here, we predicted Fd on different surfaces by numerically solving the Young-Laplace equation. Our numerical results are consistent with previously reported results for a wide range of experimental conditions: droplets subjected to surface vs. body forces with |Fd| ranging from nano- to milli-newtons, droplet radii R ranging from tens of microns to several millimetres, and for various surfaces (micro-/nano-structured superhydrophobic vs. lubricated surfaces). Finally, we derive an analytic solution for Fd on highly hydrophobic surfaces and further show that for receding contact angle θr > 120◦, the normalized Fd/πR is equivalent to the Young-Dupre work of adhesion γ(1 + cos θr).
Evaluation of Pesticide Residues in some Commonly Consumed Grains in Kogi State, North Central, Nigeria
Authors: Onoja Alexander D. , Idakwoji Precious A. , Zakari David A. , Oniemola Joan M. , Enesi Katumi O. 
Published: August 2023

Abstract
Indiscriminate use of pesticides to boost agricultural produce and in public health to control pests has raised the emphasis on pesticide residue levels in foods. This study analyzed the pesticides residue levels in some common grains (rice, maize, millet and beans) consumed in Kogi State, North Central, Nigeria and ascertained their suitability for human consumption. The samples were analyzed for the presence of several benzimidazole, triazole, organochloride and organophosphate pesticide residues using gas chromatography-mass spectrometry (GC-MS). The residual pesticides levels in the different grains were compared with FAO/WHO established maximum residual levels (MRL) for the pesticides. The results showed that the common pesticide residues found in rice across the 3 Senatorial Districts of Kogi State include; thiabendazole, phosmet, acetamiprid, carbendazim, pyrimethanil and pyroclostrobin. Only pyroclostrobin was found to be above its MRL in rice samples from Kogi Central Senatorial District. In maize, the common pesticides detected were tebuconazole, Acephate, atrazine, clothianidin and quinoxyfen. Atrazine and clothianidin were found to be above their MRL in the 3 Senatorial Districts. Azoxystrobin, formethanate, chlorpyrifos, fludioxonil and thiabendazole were detected in millet samples from across the Senatorial Districts but only formethanate was discovered to be above its MRL. For beans, chlorpyrifos, acetamiprid and endosulfan were detected across the Senatorial Districts but at levels below their MRL. The presence of these pesticides even at levels lower their MRLs may pose no immediate risks to human health, but may lead to bioaccumulation and eventually become a threat to public health in the long term.
In-Silico Drug Discovery Through Interaction-Based Perspectives for ATAD3A
Authors: Gong Kevin , McKenna Patrick 
Published: August 2023

Abstract
The overexpression of ATAD3A, a mitochondrial membrane oncoprotein, is correlated with worsened prognosis of many prevalent cancers and has been identified as an attractive target for drug development. This work investigates drug development for ATAD3A through a site-specific, interaction-based, in-silico framework bypassing conventional drug development obstacles, notably the inability to experimentally resolve the ATAD3A structure. In our approach, we target the critical ATAD3A-S100B binding interaction, which facilitates the cytoplasmic processing of ATAD3A. Relying on the canonicality of the S100B binding mechanism of ATAD3A, and the ATAD3A C-terminal sequence being highly conserved and homologous to existing structures, we reduce the necessity for an accurate model from the whole target protein to a single, well-established domain. In our in-silico framework, a model of the ATAD3A S100B binding domain was constructed, followed by drug discovery targeting the S100B binding domain utilizing virtual screening and hit identification. QSAR modeling and physicochemical filters were then subsequently employed to assess the hit compounds. Further analyzing the specific binding contacts between the hit compounds and ATAD3A compared to ATAD3A-S100B binding contacts from protein-protein docking, we were able to determine that two hit compounds, ZINC6235062 and ZINC20728831, strongly occupy the critical residues established in previous literature as necessary for S100B binding, and thus indicate great potential in inhibiting ATAD3A oncoprotein function through disrupting the ATAD3A-S100B binding interaction in competitive inhibition.
The Effect of Neem (Azadirachta Indica) Bark Extracts on Maize Weevil (Sitophilus Zeamais) in Stored Maize (Zea Mays) in Lokoja, Kogi State
Authors: Olusanmi Pelumi 
Published: August 2023

Abstract
Background
This study investigated the effect of crude aqueous and ethanolic extracts of Azadirachta indica against Sitophilus zeamais (Maize weevil) on stored Zea mays (Maize). The pesticidal activity of Azadirachta indica extracts on Sitophilus zeamais was evaluated at concentrations of 500, 1000, and 1500mg/ml. The cold maceration method was employed in this study for the preparation of extracts. The mortality rate of the weevils was monitored every 24 hours for 72 hours consecutively. Measured and recorded mortality were presented in tabular format, indicating the concentrations and total number of death counts. The data obtained were analyzed using SPSS (Version 21). Proportions of the mortality rate of Sitophilus zeamais in relation to concentrations of aqueous and ethanolic extracts were compared using ANOVA.
Results
Inferences drawn from this study showed that both the crude aqueous and ethanolic extracts were effective at the maximum concentration, but the ethanolic extract showed a higher rate of effectiveness than the crude aqueous extract.
Conclusion
To further assess their potential as an insecticide against pests in storage seeds, it is also advised to extract Azadirachta indica using a different solvent. Although these extracts have an impact on maize weevil populations, biosafety research should be done to determine their toxicity to humans. To evaluate the practical application of botanical insecticides, field tests should be conducted.
Broadening the Capture of Natural Products Mentioned in FAERS Using Fuzzy String-Matching and a Siamese Neural Network
Authors: Dilán-Pantojas Israel , Boonchalermvichien Tanupat , Taneja Sanya , Li Xiaotong , Chapin Maryann , Karcher Sandra , Boyce Richard D. 
Published: August 2023

Abstract
Increased sales of natural products (NPs) in the US and growing safety concerns highlight the need for NP pharmacovigilance. A challenge for NP pharmacovigilance is ambiguity when referring to NPs in spontaneous reporting systems. We used a combination of fuzzy string-matching and a neural network to reduce this ambiguity. We aim to increase the capture of reports involving NPs in the US Food and Drug Administration Adverse Event Reporting System (FAERS). Gestalt pattern-matching (GPM) and Siamese neural network (SM) were used to identify potential mentions of NPs of interest in 389,386 FAERS reports with unmapped drug names. We refined the identified candidates through manual review and annotation by health professionals. After adjudication, GPM identified 595 unique NP names and SM 504. There was little overlap between candidates identified by the approaches (Non-overlapping: GPM 347, SM 248). In total, 686 novel NP names were identified in the unmapped FAERS reports. Including these names in the FAERS collection yielded 3,486 additional reports mentioning NPs.
A phenomenographic Study on Teachers’ Experiences of Emergency Remote Teaching During COVID-19
Authors: Asamoah Daniel 
Published: August 2023

Abstract
This pilot phenomenographic study explored teachers’ understanding of their experiences of emergency remote teaching during COVID-19. Unstructured interviews were conducted among twelve teachers from different Ghanaian higher education institutions. Teachers were purposely selected to share their experiences of what it takes to teach during COVID-19. Phonomenographic analysis was performed to identify qualitatively different ways teachers understood their emergency remote teaching experiences. Findings were presented in three categories of description that highlighted that emergency remote teaching during COVID-19 is experienced as a) being suitable for certain applications, c) effective for certain instructional approaches, and c) challenging. This study highlights how emergency remote teaching is experienced in different ways by those who experienced it, providing implications for effective teaching and learning during crisis situations.
The Triad of Knowledge, Regular Medical Consultation, and Recommendations for Enhanced Breast Cancer Screening Intention in Morocco
Authors: OUZENNOU Nadia , ABOUFARAS Mohamed , NACER Nezha , MEJDOULI Hicham , CHOUIKH Jaouad , RKHA Samia 
Published: August 2023

Abstract
Purpose
The low rate of breast cancer screening in Morocco is linked to delayed diagnosis and increased mortality rates. Furthermore, there is a lack of research on the association between screening intention and knowledge levels. Our objective was to assess the level of knowledge regarding breast cancer and screening, identify the determinants of this knowledge, and determine predictive factors for screening intention.
Methods
A cross-sectional analytical study was conducted on 1014 women in the city of Essaouira, Morocco, during the years 2018-2020. A stepwise logistic regression analysis was performed to identify the predictors using SPSS software.
Results
We found an above-average level of knowledge (67%). These knowledge levels were associated with several personal characteristics. Moreover, these knowledge levels proved to be powerful predictive factors for the intention to undergo screening, along with regular medical consultations and recommendations to undergo screening.
Conclusion
Women had a high level of knowledge about breast cancer and its characteristics. These knowledge levels were strongly associated with the intention to undergo screening. However, despite this, the low participation rate encourages the reinforcement of research to align knowledge, intention, and screening practices.
Hydraulic performance evaluation of Yeka Abado supply zone of Addis Ababa's water distribution network
Authors: Workneh Zerihun Getaneh , Gebremedhin Ermias K. , Beyene Nathnael A. , Nigatu Nathnael M. 
Published: August 2023

Abstract

A water distribution network's crucial feature is providing adequate water to meet the required demand with satisfactory performance. The objective of this study was to evaluate the hydraulic performance of the Yeka Abado supply zone in Addis Ababa and suggest corrective measures to the problems obtained through the evaluation. A computer model was created in WaterGEMS to simulate the water distribution network. An intermittent scenario was created based on customer meter data to check the ability of the system to meet the current demand in the study area. Two scenarios were developed to evaluate the system's ability to satisfy the current and future demands in a continuous supply. The model analysis results indicated that pressure below the acceptance criteria at some junctions during peak hours, shortly after the supply, had resumed during intermittent operations. The performance remained satisfactory at other time steps. Furthermore, analysis in a continuous supply scenario for predicted future flows in 2044 indicated that the system is unable to meet the increasing demands in the study area, requiring system expansion works at some point. The results for a continuous supply model for 2021 indicated an excellent performance, with almost all the acceptance criteria being met.