bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors for the development of chronic kidney disease after an episode of acute kidney injury with full recovery
Authors: Mahmoud Nouha Ben , Hamouda Mouna , Maatoug Jihene , Salem Meriem Ben , Salah Manel Ben , Letaief Ahmed , Aloui Sabra , Skhiri Habib 
Published: September 2023

Abstract
Acute kidney injury is a clinico-biological syndrome responsible even after recovery of normal renal function for a higher short-term risk of developing chronic kidney disease. We conducted a retrospective descriptive study that included patients hospitalized for acute kidney injury with full recovery between January 2002 and December 2015 and who were followed up to one year after their discharge. In the short term, 176 patients were followed, of whom 18 patients (10.2%) had developed chronic kidney disease with an average delay of 9.07 ± 0.4 months. Patients reaching the chronic kidney disease stage were older, half were over 70 years old, 61% were diabetics; 13 of them were multitared and 15 had a glomerual filtration rate < 60 ml/min at discharge. Our results suggest that the development of chronic kidney disease most often occurred in the first year following an episode of acute kidney injury
A generalised computer vision model for improved glaucoma screening using fundus images
Authors: Chaurasia Abadh K , Liu Guei-Sheung , Greatbatch Connor J , Gharahkhani Puya , Craig Jamie E , Mackey David A , MacGregor Stuart , Hewitt Alex W 
Published: September 2023

Abstract
Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is paramount yet challenging, particularly in resource-limited settings. Herein, we sought to develop and validate a generalised deep-learning-based algorithm for screening glaucoma using fundus images. We collected glaucomatous data from 20 publicly accessible databases worldwide and selected the best-performing model from 20 pre-trained models. The top-performing model was further trained for classifying healthy and glaucomatous fundus images using Fastai and PyTorch libraries. Gradient-weighted class activation mapping was used to visualise significant areas of fundus images for model decision-making. The best-performing model was validated on 1,364 glaucomatous discs and 2,047 healthy discs. Validation performance metrics indicate robust discriminative ability, with an Area Under the Receiver Operating Characteristic (AUROC) of 0.9920 (95% CI: 0.9920 to 0.9921) for glaucoma and 0.9920 (95% CI: 0.9920 to 0.9921) for healthy class. The model performed well on an external validation (unseen) set of the Drishti-GS dataset, with an AUROC of 0.8751 and an accuracy of 0.8713. Although the model's accuracy slightly decreased when evaluated on unseen data, this study highlighted the potential of computer vision to assist in glaucoma screening.
Analysing the Determinants of Surface Solar Radiation with Tree-Based Machine Learning Methods: Case of Istanbul
Authors: Guven Denizhan 
Published: September 2023

Abstract

This study estimates both hourly and daily Downward Surface Solar Radiation (SSR) in Istanbul while determining the importance of variables on SSR using tree-based machine learning methods, namely Decision Tree (DT), Random Forest (RF), and Gradient Boosted Regression Tree (GBRT). The hourly and daily data of climatic factors for the period between January 2016 and December 2020 are gathered from the European Centre for Medium-Range Weather Forecasts' (ECMWF) ERA5 reanalysis data sets. In addition to the meteorology data, hourly data of selected aerosols are obtained from the Ministry of Environment, Urbanization and Climate Change. Temperature, cloud coverage, ozone level, precipitation, pressure, and two components of wind speeds, PM10, PM2.5, and SO2 are utilized to train and test the established models. The model performances are determined with the out-of-bag errors by calculating R-squared, MSE, RMSE, and MBE. The GBRT model is found to be the most accurate model with the lowest error rates. Furthermore, this study provides the variable importance in determining the SSR. Although all models provide different values for the variable importance; temperature, ozone level, cloud coverage, and precipitation are found to be the most important variables in estimating daily SSR. For the hourly estimation, the time of day (hour) becomes the most important factor in addition to temperature, ozone level, and cloud coverage. Finally, this study shows that the tree-based machine learning methods used with these variables to estimate hourly and daily SSR results are very accurate when it is not possible to measure the SSR values directly.
Analysis of clinical features and outcomes in patients with ocular myasthenia gravis according to anti-acetylcholine receptor antibody-seropositivity: a retrospective cohort study
Authors: Lee Byung Joo , Park Jimin , Ahn Hyosook , Lim Hyun Taek 
Published: September 2023

Abstract
Purpose: To comparatively analyze the clinical characteristics of patients with ocular myasthenia gravis (OMG) who were referred to an ophthalmology clinic, according to anti-acetylcholine receptor antibody (AchR Ab)-seropositivity.
Methods: Medical records of patients with OMG who presented to a tertiary eye care center between 2003 and 2020 were retrospectively reviewed. Demographics, ophthalmologic characteristics, response to medical treatment, presence of autoimmune thyroid disease and thyroid autoantibody were compared between the AchR Ab seropositive and seronegative groups.
Results: A total of 130 patients with OMG were identified; among them, 46 patients (35.4%) had autoantibody against acetylcholine receptors. The mean age at symptom onset was 42.4±18.9 years. There were no differences in mean age at symptom onset, gender ratio, and mean follow-up period between patients with seropositive and seronegative OMG. Graves ophthalmopathy was significantly more frequent in seronegative patients (p=0.04), while thymic disease (p<0.01) was in seropositive patients (p<0.01). Among patients with seropositive OMG, 52.3% showed a good response to medical treatment, while only 31.4% of the seronegative patients were classified as good responders (p=0.01). Thyroid dysfunction was found in 27.4% patients with OMG and the proportion of thyroid dysfunction was not different according to anti-acetylcholine receptor antibody-seropositivity.
Conclusion: Seropositivity to acetylcholine receptor antibody is associated with a better response to medical treatment and lower risk of concomitant autoimmune thyroid disease in patients with OMG.
Appraisal and evaluation of Hydrochemical Processes in the Aquifer System of the South Eastern Coastal Area of Bangladesh
Authors: Dina Nafisa Tamannaya , Deeba Farah , Kabir Mohammad Zafrul , Rasul Md. Golam , Alam Md. Ferdous , Sultana Salma , Rahman Syed Hafizur 
Published: September 2023

Abstract
Hydrochemical study of groundwater in the aquifer system of the southeast coastal area of Bangladesh was carried out to investigate the processes of groundwater hydrochemistry as well as the suitability of groundwater for drinking purposes. Water samples from tube wells (depths 6.5–165 m) were collected and examined several water quality parameters to describe the hydrogeochemical characteristic. Most of the water samples were found as fresh and soft water with few numbers of hard and brackish water. The overall sequence of cation and anion throughout the study area are Ca2+> Na+> Mg2+> K+ and HCO3−> CO3−> NO3−> SO42−> Cl− respectively. Maximum water quality parameters satisfy the drinking water quality standard proposed by WHO. Piper diagram suggests that Ca2+- Mg2+- HCO3− (80%) and Ca2+- Na+- HCO3− (20%) facies are the predominant water type. Gibb’s plot implies a rock dominant inheritance that regulates the groundwater chemistry. The most significant hydrochemical processes in the study area are carbonate weathering and cation exchange. Correlation analysis recommends that TDS, EC, Na+, Ca2+, Cl− and SO42− are strongly correlated with each other, indicating their contribution to water mineralization. The principal component analysis (PCA) and Cluster analysis shows weathering and leaching of parent rocks are the leading environmental sources, while intensive farming incorporating the extensive use of pesticides and fertilizers might be another anthropogenic component that influences the groundwater hydrochemistry.
Healthcare provider perceptions and reported practices regarding opioid prescription for patients with chronic pain
Authors: Arthur Joseph , Edwards Tonya , Lu Zhanni , Amoateng Doris Magdalene , Koom-Dadzie Kwame , Zhu Hongxu , Long James , Do Kim-Anh , Bruera Eduardo 
Published: September 2023

Abstract
PURPOSE
Data indicates that clinicians might be under-prescribing opioids for patients with chronic cancer pain, and this could impact adequate chronic pain management. Few studies have sought to understand healthcare provider (HCP) perceptions and practices regarding the prescription of opioids for chronic pain. We assessed HCP perceptions and practices regarding opioid prescription for patients with chronic pain since the onset of the COVID-19 pandemic.
METHODS
An anonymous cross-sectional survey was conducted among 186 HCPs who attended an opioid educational event in April 2021 and 2022.
RESULTS
61/143(44%) opioid prescribers reported reluctance to prescribe opioids for chronic pain. In a multivariate logistic model, younger participants (log OR -0.04, 95% CI: -0.085, -0.004; p = 0.033) and pain medicine clinicians (log OR -1.89, CI: -3.931, -0.286; p = 0.034) were less reluctant, whereas providers who worry about non-medical opioid use (NMOU) were more reluctant to prescribe opioids (log OR 1.58 95% CI: 0.77–2.43; p < 0.001). 53/143(37%) respondents had experienced increased challenges regarding opioid dispensing at pharmacies, and 84/179(47%) reported similar experience by their patients. 54/178(30%) HCPs were aware of opioid-related harmful incidents to patients or their families, including incidents attributed to opioid misuse by a household or family member.
CONCLUSION
A significant number of opioid prescribers were reluctant to prescribe opioids for patients with chronic pain. Many reported challenges regarding dispensing of opioids at the pharmacies. These may be unintended consequences of policies to address the opioid crisis. Future measures should focus on addressing regulatory barriers without undermining the gains already made to combat the opioid crisis.
Occupational exposure of dental nurses in a tertiary dental hospital in Beijing: A single-centre retrospective study
Authors: Zhang Yue , Zhang Yuge , Wang Lingxiao 
Published: September 2023

Abstract
Dental nurses are a high-risk group for occupational exposure, but how to reduce occupational exposure rates still faces challenges. This study aims to conduct a retrospective questionnaire survey with dental nurses from a tertiary A specialized dental hospital in Beijing as the main target to study the dental nursing population: 1) exposure events, including the types and times of occupational exposure, as well as the devices that cause occupational exposure; and 2) occupational expectations and attitudes toward patients with infectious diseases. This project aims to provide a theoretical basis for improving the safety awareness of dental nurses and reducing occupational exposure risks to a certain extent.
Analysis of perioperative chemotherapy-mediated genomic changes in gastric cancer
Authors: Ikegame Ko , Omori Hayato , Hada Masao , Watanabe Hideki , Takano Atsushi , Kimura Ayako , Inoue Masayuki , Furuya Kazusige , Yasutome Michiya , Imuro Yuji , Nakagomi Hiroshi , Amemiya Kenji , Hirotsu Yosuke , Mochizuki Hitoshi , Omata Masao 
Published: September 2023

Abstract
Background:
Surgery remains the mainstay of treatment for advanced gastric cancer, but in recent years perioperative chemotherapy has been administered in attempt to improve treatment results. The Cancer Genome Atlas (TCGA) has illuminated the molecular landscape of gastric cancer. However, genomic changes before and after perioperative chemotherapy and the associated effects on treatment resistance remain unclear. This study aimed to clarify genomic change in gastric cancers treated with perioperative chemotherapy.
Methods:
Of the 532 patients who underwent gastrectomy for gastric cancer between January 2015 and December 2020, this study included eight patients who received neoadjuvant chemotherapy (NAC). We collected biopsy samples before NAC and surgical samples after NAC. Recurrent biopsy samples after adjuvant chemotherapy were also collected in two cases. DNA and RNA were extracted from these samples and analyzed by next-generation sequencing.
Results:
Most of the oncogenic mutations found before NAC (TP53, CDH1, KRAS, PIK3CA, RNF43, and SMAD4) were also found in the post-NAC surgical sample. Several gene mutations with low allele frequency were lost or gained. In the recurrent biopsy samples, gene mutations shared before NAC and after NAC were also detected. In addition, some gene mutations were acquired as new mutations following surgery. Gene expression analysis showed genes related to the MAPK signaling pathway were overexpressed in the group without recurrence.
Conclusions:
Most of the oncogenic mutations were maintained throughout perioperative chemotherapy and remained in recurrent tumors. There is a need for development of drugs that affect oncogenic mutations during perioperative chemotherapy is required.
Reduced retinol (Vitamin A) and α-tocopherol (Vitamin E) blood levels and increased myeloperoxidase (MPO) activity in Children with High Myopia
Authors: Mikoluc Bozena , Sawicka-Powierza Jolanta , Berk Klaudia , Maciejczyk Mateusz , Powierza Katarzyna , Zalewska Anna , Szulimowska Julita , MacDonald Justyna , Koput Alicja , Karpinska Joanna , Sawczuk Roza , Hryniewicka Marta , Bakunowicz-Lazarczyk Alina 
Published: September 2023

Abstract

The study was aimed at assessing the chosen parameters of redox status in the plasma of patients suffering from high myopia (HM). Thirty-five children with mean age 13.7 ± 2.7 years with HM and 40 healthy children were included. Plasma redox status parameters were determined using colorimetric kits. The levels of retinol, α-tocopherol and coenzyme Q10 were determined with a high-performance liquid chromatograph. Negative correlations between axial length of the eye and retinol, and α-tocopherol levels (p < 0.001, p = 0.026, respectively) were observed. Increased myeloperoxidase (MPO) activity (p = 0.018) and decreased concentrations of retinol (p< 0.001) and α-tocopherol (p = 0.023) in patients with HM and the axial length of the eye > 26 mm compared to the controls were established. Significantly lower retinol and α-tocopherol concentrations in patients with the axial length of the eye > 26 mm compared to those with ≤ 26 mm length were found (p < 0.001, p = 0.021, respectively). Increased MPO activity in advanced stages of HM may confirm an inflammatory process in HM patients. Reduced retinol and α-tocopherol concentrations and their link to the disease progression indicate the need for monitoring their levels and supplementation in children with HM.
Sequential Optimization and Purification of α-Galactosidase from Actinoplanes utahensis: A way for Enhanced Production and Industrial Prospects
Authors: K Balumahendra , C Venkateswarulu T , D John Babu 
Published: September 2023

Abstract
α-Galactosidase is an important exoglycosidase belonging to the hydrolase class of enzyme, which has therapeutic and industrial potential. It plays a crucial role in hydrolyzing α-1,6 linked terminal galacto-oligosaccharide residues such as melibiose, raffinose, and branched polysaccharides such as Galacto-glucomannans and Galactomannans. In this study Actinoplanes utahensis was explored for α-Galactosidase production, yield improvement and activity enhancement by purification. Initially nine media components were screened by using the Plackett-Burman design (PBD). Among these components, sucrose, soya bean flour, and sodium glutamate were identified as best supporting nutrients for highest enzyme secretion by A. utahensis. Later, the Central Composite Design (CCD) was implemented to fine-tune the optimization of these components. Based on sequential statistical optimization methodologies, a significant, 3.64-fold increase in α-galactosidase production, from 16 to 58.37 U/mL was achieved. The enzyme was purified by ultrafiltration-I followed by multimode chromatography and ultrafiltration-II. The purity of the enzyme was confirmed by Sodium Dodecyl Sulphate –Polyacrylamide Agarose Gel Electrophoresis (SDS-PAGE) which revealed a single distinctive band with a molecular weight of approximately 72kDa. Additionally, it was determined that this process resulted in a 2.03-fold increase in purity. The purified α-galactosidase showed an activity of 2304 U/mL with a specific activity of 288 U/mg. This study demonstrates the feasibility of scalable α-galactosidase production, which has various industrial applications.
Copper(II) Complex with (E)-N ′ (3,5-di-tert-butyl-2-hydroxybenzilidene)-2-Hydroxybenzohydrazide
Authors: Fatullayeva Perizad Amrulla , Medjidov Ajdar Akper , Ismayilov Rayyat Huseyn , Abdullayev Asim Sabri , Lahicova Sevinc Rafiq , Abbasova Gulu Qanimet , Bayramov Mahammad Allahverdi 
Published: September 2023

Abstract
Annotation
A mononuclear complex of copper(II) with (E)-N′(3,5-di-tert-butyl-2-hydroxybenzilidene) -2-hydroxybenzohydrazide (H3sahz)2 was synthesized. The structure of the complex [Cu(H2sahz)(DMF)] was studied by elemental analysis, IR and EPR spectroscopy, and monocrystal X-ray analysis. It was shown that the complex has a square planar structure, in which the ligand is tridentate and dianionic. The coordination of the Cu(II) ion is carried out by the oxygen atom of the ditertbutyl fragment, the azomethine nitrogen atom, the hydrazide oxygen atom in the enol form, and the oxygen of the DMF molecule. In aqueous solutions, the DMF molecule in the complex is easily exchanged for a water molecule. The obtained ligand and complex possess high bactericidal and fungicidal activity. The results of these studies indicated that the metal complexes exhibit a stronger antibacterial and antifungal efficiency than their corresponding Schiff base ligands.
Structural equation model for the assessment of Big Data Value proposition in the UK Facilities Management
Authors: Konanahalli Ashwini , Marinelli Marina , Oyedele Lukumon 
Published: September 2023

Abstract
Big data analytics (BDA) has been introduced in the past few years in most industries as a factor capable of revolutionizing their operations by offering significant efficiency opportunities and benefits. To compete in this digital age, businesses must adopt a client centric service model, founded on data delivering continuous value, achieving optimal performance whilst also upgrading their own decision making and reporting processes. This study focuses on value outcomes (i.e. the end results of the implementation process) associated with the BDA adoption in the Facilities Management (FM) sector in United Kingdom (UK). Drawing upon qualitative case-study findings and an industry-wide questionnaire survey, a novel fifteen-variable model for BDA outcomes was developed and validated. This paper further uses the Confirmatory Factor Analysis (CFA) to establish the relationships between the variables and reveal the model’s principal dimensions. The identified themes focus on improved client experiences and efficient resource management and planning. In the current dynamic market environment, the findings of this study will help FM organisations to formulate effective data-driven strategies and client facing business models.
Performance Evaluation of A Future Concept of Prsesnt Living:Smart Homes
Authors: Talwandi Navjot Singh , Tripathi Anubhav , Grewal Jaspreet Kaur 
Published: September 2023

Abstract
The trajectory of home control is hurtling towards a future where technological marvels converge to create a seamless and dynamic living environment. This abstract delves into the landscape of futuristic home control, where interconnected smart structures determined by the non-natural intellect that is “AI” and “IoT” culminate in an unparalleled fusion of convenience, sustainability, and security. At the core of this vision is a tapestry of IoT-enabled devices that seamlessly communicate with one another. These devices, ranging from smart appliances and energy-efficient HVAC systems to biometric security mechanisms, create an intricate network that anticipates and accommodates occupants' needs. This intelligence is further amplified by AI algorithms, which learn from user behavior and external cues to optimize energy consumption, tailor ambiance, and predict potential hazards. The marriage of AI and automation begets a novel concept of anticipatory living. The home proactively adjusts lighting, temperature, and energy usage based on occupants' habits and preferences. Enhanced security protocols, driven by AI-driven surveillance and biometric authentication, redefine safety standards by intelligently identifying anomalies and thwarting potential threats. Customization forms the cornerstone of futuristic home control. Interfaces become intuitive and versatile, enabling interactions through voice commands, gestures, and even neural interfaces. Beyond personalization, homes also prioritize occupants' well-being, modulating surroundings to influence mood and productivity. In conclusion, the impending era of futuristic home control promises an era where technology seamlessly integrates into the fabric of daily life. Through the harmonious interplay of IoT, AI, and automation, homes metamorphose into sentient entities, forever reshaping the concept of smart living. This abstract serves as a glimpse into this enticing future, where innovation knows no bounds, and homes evolve into nurturing and responsive ecosystems.
Molecular characterization of the complete genome sequence of polygonatum kingianum yellow leafroll virus (PKYLV) infecting Polygonatum kingianum Coll. et Hemsl in Yunnan, China
Authors: Zheng Kuanyu , Zhang Zhongkai 
Published: September 2023

Abstract
The complete genome sequence of a putative novel potyvirus, tentatively named polygonatum kingianum yellow leafroll virus (PKYLV; GenBank accession no. ON428226), infecting Polygonatum. kingianum in China was obtained by next-generation sequencing (NGS), reverse transcription-polymerase chain reaction (RT-PCR) and rapid amplification of cDNA ends (RACE). PKYLV exhibits typical genomic structure characteristics of genus Potyvirus, with a length of 10,002 nucleotides (nt) and a large open reading frame (108 to 9,746 nt), encoding a polyprotein with 3,213 amino acid (aa) (363.68 kDa). Pairwise comparisons revealed that the PKYLV polyprotein shares 50.5～68.6% nt and 43.1～72.2% aa sequence identity with reported members of the genus Potyvirus. Moreover, phylogenetic analysis indicated that PKYLV is closely related to polygonatum kingianum virus 1 (PKgV1; accession no. MK427056). These results suggest that the PKYLV is a novel member of the genus Potyvirus of the family Potyviridae.