bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of bacterial diversity between two coastal regions with heterogeneous soil texture
Authors: Zakavi Maryam , Askari Hossein , Shahrooei Mohammad 
Published: November 2022

AbstractStudying microbial diversity and the effects of external factors on the microbiome could expand our understanding of environmental alterations. Silt and sand are mineral particles that form soil texture and even though most of the soils on earth contain a fraction of them and some other soils form almost by them, their effects on the microbiome remained to elucidate. In this study, the bacterial biodiversity of sand and silt clay soils was investigated. Furthermore, their effects on plant growth have been determined. Our data showed that biodiversity and biomass of microbiome are higher in silt-based soil. It is interesting that the pseudomonas genera only exist in silt-based soil while it is in the absence of sand-based soil. In contrast, B. thuringiensis could be found in sand-based soil while it is not found in silt texture. Our data also demonstrated that there are no significant changes in stress response between the two groups however, differential physiological changes in plants inoculated with silt and sand based bacterial isolates have been observed. This data could indicate that smaller size particles could contain more bacteria with higher biodiversity due to providing more surfaces for bacteria to grow.
A bioinformatics approach to the identification of novel deleterious mutations of human TPMT through validated screening and molecular dynamics
Authors: Saxena Sidharth , Krishna Murthy T. P. , Chandrashekhar C. R. , Patil Lavan S. , Aditya Abhinav , Shukla Rohit , Yadav Arvind Kumar , Singh Tiratha Raj , Samantaray Mahesh , Ramaswamy Amutha 
Published: November 2022

AbstractPolymorphisms of Thiopurine S-methyltransferase (TPMT) are known to be associated with leukemia, inflammatory bowel diseases, and more. The objective of the present study was to identify novel deleterious missense SNPs of TPMT through a comprehensive in silico protocol. The initial SNP screening protocol used to identify deleterious SNPs from the pool of all TPMT SNPs in the dbSNP database yielded an accuracy of 83.33% in identifying extremely dangerous variants. Five novel deleterious missense SNPs (W33G, W78R, V89E, W150G, and L182P) of TPMT were identified through the aforementioned screening protocol. These 5 SNPs were then subjected to conservation analysis, interaction analysis, oncogenic and phenotypic analysis, structural analysis, PTM analysis, and molecular dynamics simulations (MDS) analysis to further assess and analyze their deleterious nature. Oncogenic analysis revealed that all five SNPs are oncogenic. MDS analysis revealed that all SNPs are deleterious due to the alterations they cause in the binding energy of the wild-type protein. Plasticity-induced instability caused by most of the mutations as indicated by the MDS results has been hypothesized to be the reason for this alteration. While in vivo or in vitro protocols are more conclusive, they are often more challenging and expensive. Hence, future research endeavors targeted at TPMT polymorphisms and/or their consequences in relevant disease progressions or treatments, through in vitro or in vivo means can give a higher priority to these SNPs rather than considering the massive pool of all SNPs of TPMT.
Learned end-to-end high-resolution lensless fiber imaging towards real-time cancer diagnosis
Authors: Wu Jiachen , Wang Tijue , Uckermann Ortrud , Galli Roberta , Schackert Gabriele , Cao Liangcai , Czarske Juergen , Kuschmierz Robert 
Published: November 2022

AbstractRecent advances in label-free histology promise a new era for real-time diagnosis in neurosurgery. Deep learning using autofluorescence is promising for tumor classification without histochemical staining process. The high image resolution and minimally invasive diagnostics with negligible tissue damage is of great importance. The state of the art is raster scanning endoscopes, but the distal lens optics limits the size. Lensless fiber bundle endoscopy offers both small diameters of a few 100 microns and the suitability as single-use probes, which is beneficial in sterilization. The problem is the inherent honeycomb artifacts of coherent fiber bundles (CFB). For the first time, we demonstrate an end-to-end lensless fiber imaging with exploiting the near-field. The framework includes resolution enhancement and classification networks that use single-shot CFB images to provide both high-resolution imaging and tumor diagnosis. The well-trained resolution enhancement network not only recovers high-resolution features beyond the physical limitations of CFB, but also helps improving tumor recognition rate. Especially for glioblastoma, the resolution enhancement network helps increasing the classification accuracy from 90.8 to 95.6%. The novel technique enables histological real-time imaging with lensless fiber endoscopy and is promising for a quick and minimally invasive intraoperative treatment and cancer diagnosis in neurosurgery.
Photonic Weyl semimetals in pseudochiral metamaterials
Authors: Chern Ruey-Lin , Chou Yi-Ju 
Published: November 2022

AbstractWe investigate the photonic topological phases in pseudochiral metamaterials characterized by the magnetoelectric tensors with symmetric off-diagonal chirality components. The underlying medium is considered a photonic analogue of the type-II Weyl semimetal featured with two pairs of tilted Weyl cones in the frequency-wave vector space. As the ’spin’-degenerate condition is satisfied, the photonic system consists of two hybrid modes that are completely decoupled. By introducing the pseudospin states as the basis for the hybrid modes, the photonic system is described by two subsystems in terms of the spin-orbit Hamiltonians with spin 1, which result in nonzero spin Chern numbers that determine the topological properties. Surface modes at the interface between vacuum and the pseudochiral metamaterial exist in their common gap in the wave vector space, which are analytically formulated by algebraic equations. In particular, the surface modes are tangent to both the vacuum light cone and the Weyl cones, which form two pairs of crossing surface sheets that are symmetric about the transverse axes. At the Weyl frequency, the surface modes that connect the Weyl points form four Fermi arc-like states as line segments. Topological features of the pseudochiral metamaterials are further illustrated with the robust transport of surface modes at an irregular boundary.
Real-world experience of intravenous ferric derisomaltose evaluated through safety and efficacy reporting in the UK
Authors: Sinclair Rhona C. F. , Nadaraja Sean , Kennedy Nicholas A. , Wakatsuki Mai , Bhandari Sunil 
Published: November 2022

AbstractFerric derisomaltose (FDI; Monofer) is used in clinical practice to treat iron deficiency, but the safety and efficacy of FDI has not been robustly evaluated in a large real-world study. This retrospective, multicentre, audit-based, observational study provides pragmatic information about safety and clinical responses with FDI across therapy areas and patient populations, helping to facilitate treatment decisions. Participating sites provided data from the medical records of adults who had received ≥ 1 FDI infusion. The primary outcome was the incidence of adverse reactions within 24 hours of the FDI infusion. Secondary outcomes included the change from baseline in haemoglobin and ferritin up to 12 months post infusion. In total, 19 sites provided data for a total of 7354 FDI-treated patients; 64.3% of patients were female, and 42.2% were aged ≥ 70 years. Surgery was the main hospital specialty (34.5%). The incidence of any recorded adverse reactions, hypersensitivity reactions, and anaphylaxis were 1.7%, 0.4%, and < 0.1%, respectively, regardless of baseline anaemia status. Statistically significant increases in haemoglobin and ferritin were observed between baseline and Month 4 following FDI treatment (p < 0.0001). Improvements in haemoglobin were more pronounced for hospital specialties where operative blood loss is expected (surgery/obstetrics) compared with those where blood loss is not expected. This study provides real-world clinical evidence for the low risk of adverse reactions with FDI across diverse patient populations, providing reassurance that intravenous iron is not associated with serious toxicity. These findings may inform changes in intravenous iron delivery to provide effective therapy to more patients in need.
Development of an intrinsic health risk prediction model for camera-based monitoring of older adults living alone
Authors: Kim Minji , Hong Song-iee , Youm Sekyoung 
Published: November 2022

AbstractThe number of older adults in Korea is increasing, along with the number of depressed older patients. The causes of depression in older adults include social isolation with negligible interaction with others, irregular nutritional habits, and self-negligence, i.e., they do not engage in any activity. These factors, self-negligence, social isolation, and irregular nutritional habits, are defined as inherent health risks, and in this study, we detected them. These factors can only be derived through long-term monitoring, but the current monitoring system for older adults is severely limited as it focuses only on emergencies, such as “falls.” Therefore, in this study, the goal was to perform long-term monitoring using a camera. In order to capture the physical characteristics of the older adults, the ETRI-Activity3D data were used for training, and the skeleton-based action recognition algorithm Posec3d was used. By defining 90 frames as the time taken for one action, we built a monitoring system to enable long-term monitoring of older adult by performing multiple action detection in one video. A reliable monitoring system, with 98% accuracy, 98% precision, 99% recall, and 98% F1, was successfully established for health monitoring of older adults. This older adult monitoring technology is expected to improve the quality of medical services in a medical environment as well as the objective, activities of daily living test, which does not depend on the observer through daily life detection.
A formula to improve the reliability of optical axial length measurement in IOL power calculation
Authors: De Bernardo Maddalena , Cione Ferdinando , Capasso Luigi , Coppola Alessia , Rosa Nicola 
Published: November 2022

AbstractTo verify the influence of axial length (AL) variations after cataract surgery in IOL power calculation. Patients underwent ophthalmic evaluation before surgery, including optical biometry with IOLMaster 500. Same exams were repeated 2 months after surgery: AL of operated eye was evaluated using two modes (pseudophakic/aphakic options). Mean Keratometry and AL changes were analyzed. Furthermore, refractive prediction error (PE) was back-calculated with Barrett Universal-II, Hoffer-Q, Holladay-1 and SRK/T formulas. To eliminate any systematic error, the mean error (ME) was zeroed-out for each formula. MEs and median absolute errors (MedAEs) of PEs were analyzed. Two-hundred-one operated eyes of 201 patients and 201 opposite eyes were evaluated. In operated eyes, mean AL difference was − 0.11 ± 0.07 mm (p < 0.001) with pseudophakic option and 0.00 ± 0.07 mm (p = 0.922) with aphakic option. There were not-statistically significant differences between MedAE of PEs calculated after zeroing-out the ME with different ALs (p > 0.05). Instead, only MEs of PEs obtained with postoperative ALs-pseudophakic option were not-statistically different from zero (p > 0.05). AL measurement change after cataract surgery is probably due to a systematic error in optical biometer in case of phakic eyes. A correction factor applied to preoperative AL could eliminate any systematic error in IOL power calculation without modifying the lens constant.
A novel classification of HCC basing on fatty-acid-associated lncRNA
Authors: Xu Yating , Yu Xiao , Zhang Qiyao , He Yuting , Guo Wenzhi 
Published: November 2022

AbstractAberrant long noncoding RNA (lncRNA) expression and fatty acid signaling dysfunction both contribute to hepatocellular carcinoma (HCC) occurrence and development. However, the relationship and interaction mechanism between lncRNAs and fatty acid signaling in HCC remain unclear. Data regarding RNA expression and clinical outcomes for patients with HCC were obtained from The Cancer Genome Atlas (TCGA), HCCDB, and the Gene Expression Omnibus (GEO) databases. Hallmark pathways were identified using the single-sample gene set enrichment analysis (ssGSEA) method. ConsensusClusterPlus was used to establish a consistency matrix for classifying samples into three subtypes. A risk signature was established, and predictive values for key lncRNAs related to prognosis were evaluated using Kaplan–Meier analysis and receiver operating characteristic curves. The ESTIMATE algorithm, MCP-Counter, and ssGSEA were used to evaluate the characteristics of the tumor immune microenvironment. The CTRP2.0 and PRISM were used to analyze drug sensitivity in HCC subtypes. We discovered seven fatty-acid-associated lncRNAs with predictive prognostic capabilities, including TRAF3IP2-AS1, SNHG10, AL157392.2, LINC02641, AL357079.1, AC046134.2, and A1BG-AS. Three subtypes were obtained, which presented with differences in prognosis, clinical information, mutation features, pathway traits, immune characteristics, and drug sensitivity. The seven key lncRNAs identified in this study might serve as promising biomarkers for predicting prognosis in patients with HCC, and the three HCC subtypes classified according to lncRNA expression profiles could improve HCC classification.
Treatment burden among patients with heart failure attending cardiac clinic of Tikur Anbessa Specialized Hospital: an explanatory sequential mixed methods study
Authors: Hassen Minimize , Mekonnen Desalew , Muhammed Oumer Sada 
Published: November 2022

AbstractEmerging evidences hypothesized that patients with heart failure are susceptible to experience treatment burden. Despite this fact, no attempt was made so far to address this neoteric construct in the sub-Saharan African health care context. Hence, this study aimed to assess patients’ and health care providers’ perspectives on how to decrease treatment burden among patients with heart failure attending the adult cardiac clinic of Tikur Anbessa Specialized Hospital (TASH). An explanatory sequential mixed methods study was conducted at the adult cardiac clinic of TASH, Addis Ababa, Ethiopia from August 01 to September 30, 2021. Simple random and purposive sampling techniques were employed to select participants for quantitative and qualitative studies, respectively. Descriptive analysis was done to summarize the quantitative data. Logistic regression analysis was performed to identify predictors of treatment burden. P value < 0.05 was considered to declare statistical significance. Qualitative data were analyzed by using thematic analysis. A total of 325 patients were enrolled in the quantitative study. For the qualitative study, 14 patients and 11 health care providers (five nurses and six medical doctors) were included. Participants mean global Treatment Burden Questionnaire (TBQ-15) score was 27.22 ± 19.35. Approximately 12% (n = 38) patients indicated high treatment burden (TBQ-15 global score ≥ 59) with a median global score of 63(60–69). Higher education level (adjusted odds ratio [AOR] = 6.66, 95% confidence interval [CI]: 1.16–38.43), presence of two and more comorbidities (AOR = 2.74, 95%CI: 1.02–7.39), daily intake of more than five pills (AOR = 7.38, 95%CI: 2.23–24.41), poor medication availability (AOR = 3.33, 95%CI: 1.33–8.36), presence of medication adverse effects (AOR = 4.04, 95%CI: 1.63–10.03), and higher monthly cost of medication (AOR = 5.29, 95%CI: 1.46–19.18) were predictors of treatment burden. Patients and healthcare providers' propositions were primarily focused on improving self-care management, structural organization of the clinic and hospital, and healthcare system provision. Our findings demonstrated that a substantial proportion of patients faced low levels of treatment burden. This study unveiled that improving self-care management, structural organization of the clinic, and healthcare system provision had paramount importance to reducing treatment burden. Hence, factors affecting treatment burden should be considered when designing tailored healthcare interventions for patients with heart failure.
Solar water disinfection in large-volume containers: from the laboratory to the field. A case study in Tigray, Ethiopia
Authors: García-Gil Ángela , García-Muñoz Rafael A. , Martínez-García Azahara , Polo-López Maria Inmaculada , Wasihun Araya Gebreyesus , Teferi Mekonen , Asmelash Tsehaye , Conroy Ronan , McGuigan Kevin G. , Marugán Javier 
Published: November 2022

AbstractThe lack of safe drinking water affects communities in low-to-medium-income countries most. This barrier can be overcome by using sustainable point-of-use water treatments. Solar energy has been used to disinfect water for decades, and several efforts have been made to optimise the standard procedure of solar water disinfection (SODIS process). However, the Health Impact Assessment of implementing advanced technologies in the field is also a critical step in evaluating the success of the optimisation. This work reports a sustainable scaling-up of SODIS from standard 2 L bottles to 25 L transparent jerrycans (TJC) and a 12-month field implementation in four sites of Tigray in Ethiopia, where 80.5% of the population lives without reliable access to safe drinking water and whose initial baseline average rate of diarrhoeal disease in children under 5 years was 13.5%. The UVA dose required for 3-log reduction of E. coli was always lower than the minimum UVA daily dose received in Tigray (9411 ± 55 Wh/m2). Results confirmed a similar decrease in cases of diarrhoea in children in the implementation (25 L PET TJC) and control (2 L PET bottles) groups, supporting the feasibility of increasing the volume of the SODIS water containers to produce safer drinking water with a sustainable and user-friendly process.
MiR-27a as a diagnostic biomarker and potential therapeutic target in systemic sclerosis
Authors: Bayati Paria , Kalantari Mahsa , Assarehzadegan Mohammad-Ali , Poormoghim Hadi , Mojtabavi Nazanin 
Published: November 2022

AbstractSystemic sclerosis (SSc) or scleroderma is a multiorgan rheumatoid disease characterized by skin tightening or organ dysfunction due to fibrosis, vascular damage, and autoimmunity. No specific cause has been discovered for this illness, and hence no effective treatment exists for it. On the other hand, due to the lack of diagnostic biomarkers capable of effectively and specifically differentiating the patients, early diagnosis has not been possible. Due to their potent regulatory roles in molecular pathways, microRNAs are among the novel candidates for the diagnosis and treatment of diseases like SSc. MiR-27a is a microRNA known for its role in the pathogenesis of fibrosis and cancer, both of which employ similar signaling pathways; hence we hypothesized that Mir-27a could be dysregulated in the blood of individuals affected by SSc and it might be useful in the diagnosis or treatment of this disease. Blood was collected from 60 SSc patients (30 limited and 30 diffuse) diagnosed by a rheumatologist according to ACR/AULAR criteria; following RNA isolation and cDNA synthesis; real-time qPCR was performed on the samples using Taq-Man probes and data were analyzed by the ΔΔCT method. Also, potential targets of miR-27a were evaluated using bioinformatics. It was revealed that miR-27a was significantly down-regulated in SSc patients in comparison to healthy individuals, but there was no difference in miR-27 expression between limited and diffused SSc patients. Besides, miR-27a was found to target several contributing factors to SSc. It seems that miR-27a has a protective role in SSc, and its downregulation could result in the disease's onset. Based on bioinformatics analyses, it is speculated that miR-27a likely targets factors contributing to the pathogenesis of SSc, which are elevated upon the downregulation of miR-27a; hence, miR-27a mimics could be considered as potential therapeutic agents for the treatment of SSc in future studies. Since no difference was observed between limited and diffuse patient groups, it is unlikely that this microRNA has a role in disease progression. According to ROC analysis of qPCR data, miR-27a could be employed as a valuable diagnostic biomarker for SSc.
Classification of flood-generating processes in Africa
Authors: Tramblay Yves , Villarini Gabriele , Saidi Mohamed Elmehdi , Massari Christian , Stein Lina 
Published: November 2022

AbstractRiver flooding has large societal and economic impacts across Africa. Despite the importance of this topic, little is known about the main flood generating mechanisms in Africa. This study is based on 13,815 flood events that occurred between 1981 and 2018 in 529 catchments. These flood events are classified to identify the different flood drivers: excess rains, long rains and short rains. Out of them, excess rains on saturated soils in Western Africa, and long rains for catchments in Northern and Southern Africa, are the two dominant mechanisms, contributing to more than 75% of all flood events. The aridity index is strongly related to the spatial repartition of the different flood generating processes showing the climatic controls on floods. Few significant changes were detected in the relative importance of these drivers over time, but the rather short time series available prevent a robust assessment of flood driver changes in most catchments. The major implication of these results is to underline the importance of soil moisture dynamics, in addition to rainfall, to analyze the evolution of flood hazards in Africa.
Shifting in the global flood timing
Authors: Fang Gonghuan , Yang Jing , Li Zhi , Chen Yaning , Duan Weili , Amory Charles , De Maeyer Philippe 
Published: November 2022

AbstractClimate change will have an impact on not only flood magnitude but also on flood timing. This paper studies the shifting in flood timing at 6167 gauging stations from 1970 to 2010, globally. The shift in flood timing and its relationship with three influential factors (maximum 7-day precipitation, soil moisture excess, and snowmelt) are investigated. There is a clear global pattern in the mean flooding date: winter (Dec–Feb) across the western Coastal America, western Europe and the Mediterranean region, summer (Jun–Aug) in the north America, the Alps, Indian Peninsula, central Asia, Japan, and austral summer (Dec–Feb) in south Africa and north Australia area. The shift in flood timing has a trend from − 22 days per decade (earlier) to 28 days per decade (delayed). Earlier floods were found extensively in the north America, Europe and northeast Australia while delayed floods were prevailing in the Amazon, Cerrado, south Africa, India and Japan. Earlier flood timing in the north America and Europe was caused by earlier snowmelt while delayed extreme soil moisture excess and precipitation have jointly led to delayed floods around the monsoon zone, including south Africa, India and Japan. This study provides an insight on the shifting mechanism of flood timing, and supports decisions on the global flood mitigation and the impact from future climate change.