bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ocean-related options for climate change mitigation and adaptation: A machine learning-based evidence map protocol
Authors: Veytia Devi , Airoldi Laura , Claudet Joachim , Cooley Sarah , Magnan Alexandre , Barclay Vicky Marti , Neill Simon , Sumaila U. Rashid , Thébaud Olivier , Voolstra Christian R. , Williamson Phillip , Bonnin Marie , Langridge Joseph , Comte Adrien , Viard Frédérique , Shin Yunne , Bopp Laurent , Gattuso Jean-Pierre 
Published: February 2024

Abstract
Background
Ocean-related options (OROs) to mitigate and adapt to climate change are receiving increasing attention from practitioners, decision-makers, and researchers. In order to guide future ORO development and implementation, a catalogue of scientific evidence addressing outcomes related to different ORO types is critical. However, until now, such a synthesis has been hindered by the large size of the evidence base. Here, we detail a protocol using a machine learning-based approach to systematically map the extent and distribution of academic evidence relevant to the development, implementation, and outcomes of OROs.
Method
To produce this systematic map, literature searches will be conducted in English across two bibliographic databases using a string of search terms relating to the ocean, climate change, and OROs. A sample of articles from the resulting de-duplicated corpus will be manually screened at the title and abstract level for inclusion or exclusion against a set of predefined eligibility criteria in order to select all relevant literature on marine and coastal socio-ecological systems, the type of ORO and its outcomes. Descriptive metadata on the type and location of intervention, study methodology, and outcomes will be coded from the included articles in the sample. This sample of screening and coding decisions will be used to train a machine learning model that will be used to estimate these labels for all the remaining unseen publications. The results will be reported in a narrative synthesis summarising key trends, knowledge gaps, and knowledge clusters.
Serum galectin-3 levels be a marker in exudative -type age-related macular degeneration?
Authors: SÜMER FATMA , Subasi Sevgi , Bahceci Ilkay , Satılmaz Fatıh 
Published: February 2024

Abstract
Background:To investigate the effect of serum galectin-3 on naive exudative AMD and its use as a serum marker by showing the variation of this molecule between patient and control groups.
Methods:56 naive exudative AMD patients and 30 age-matched healthy controls were included in the prospective case-control study.
Results:The average HsCRP level in the AMD group was significantly higher than that in the control group (p<0.001).The median leukocyte count was significantly higher in the AMD group than in the control group (p<0.001).The average NLR was not statistically significant between groups (p = 0.892).Total cholesterol, low-density lipoprotein (LDL), and triglyceride (TG) levels were statistically significant increases in the AMD group as compared to the control group (p<0.001,in all comparisons).The mean high-density lipoprotein (HDL) level showed a statistically significant decrease in the AMD group as compared to the control group (p<0.001). The mean galectin-3 level was 8.79 ± 0.55 in the AMD group and 6.55 ± 0.55 in the control group.There was a statistically significant increase in galectin-3 levels in the AMD group (p<0.001).There was a significant positive correlation between CMT and galectin-3 levels in the control (r = 0.495, p = 0.005) and AMD groups (r = 0.776, p<0.001).
Conclusion:The increase of galectin-3 in serum and its positive correlation with CMT in the AMD group were remarkable. Although the role of galectin-3 in the pathogenesis of AMD is known, its correlation with the disease and its prognosis as a serum marker should be clarified in studies with a large number of patients.
Design and validation of a method for evaluating medical device cleanliness by recovering and quantifying residual proteins on stainless plates
Authors: Uematsu Miyuki , Miyamoto Yuko , Shimizu Masatake , Kajiura Takeshi , Saito Atsushi , Takashina Masaki , Fujita Satoshi , Nakano Yuko , Shimizu Toshiaki , Nagahara Yuki , Kosaka Hayato , Muramatsu Hiroki , Mori Masafumi , Suzuki Takamasa , Nakamura Takayoshi , Tanemura Atsushi , Hosaka Junki , Mori Takahide , Kato Seiichi , Itagaki Ayaka , Inoue Toshiki , Matsumoto Shinichi , Naito Tomoko , Fujii Shinji , Nakaoka Ryusuke , Yamamoto Eiichi 
Published: February 2024

Abstract

We recently reported a method for recovering and quantifying residual proteins bound to surfaces of various medical instruments via thermal coagulation under neutral pH and room temperature. The method effectively recovered and solubilised coagulated proteins at high temperatures in dry and humid conditions, with a protein recovery rate of > 90%. This study validated the previous method by comparing residual protein recovery from test samples using a conventional extraction solution (1% SDS, [pH 11.0]) and novel solution (1% SDS, 10 mM TCEP, and 10 mM HEPES [pH 7.0]). To mimic soiled medical equipment, pseudo-blood-contaminated stainless steel plates were prepared. Residual protein was recovered using conventional and novel solutions under varying temperature and humidity conditions. Quantitative protein recovery limits were determined at nine facilities. Compared with the conventional solution, the novel solution recovered proteins more effectively from samples processed at temperatures > 60°C. However, low recovery rates were observed for samples processed at 95°C, possibly owing to differences in protein adhesion due to sample and plate-surface properties. Our findings present a method for quantifying residual proteins on medical instruments exposed to high temperatures during use or disinfection. Further studies should standardise test soiling conditions, materials, and solutions to evaluate cleaning methods.
Deficiency of astrocytic TWIK-1 displays increased susceptibility to kainic acid-induced seizures
Authors: Park Jae-Yong , Kim Ajung , Bae Yeonju , Gadhe Changdev G. , Jung Hyun-Gug , Yang Esther , Kim Hyun , Lee Jaekwang , Shim Chanseob , Sung Young Hoon , Pae Ae Nim , Hwang Eun Mi 
Published: February 2024

Abstract
TWIK-1 is the first identified member of the two-pore domain K+ (K2P) channel family, which plays an essential role in the background K+ conductance of cells. However, the physiological role of TWIK-1 has remained largely unknown since the phenotype of previously reported exon 2-deleted Twik-1 knockout(KO) mice are not clear. Here, we demonstrate, through individual exon-specific short hairpin RNAs (shRNAs) against Twik-1 and CRISPR/Cas9 system to target each exon of the Twik-1 gene, that the exon 2-deleted Twik-1 KO mice express an unexpected functional K+ channel. Furthermore, we generate a new strain of Twik-1 KO mice in which exon 1 was targeted using the CRISPR/Cas9 technique and provide strong evidence, using the new Twik-1 KO mice, to show the potassium buffering role of TWIK-1 in astrocytes. Additionally, deficiency of astrocytic TWIK-1 by cell-type specific gene silencing techniques decreases the potassium buffering function of astrocytes, leading to increased susceptibility to kainic acid-induced seizures. These results clearly showed that TWIK-1 contributes to the astrocytic passive conductance, which is critical in the potassium buffering function of astrocytes in the brain, and the new Twik-1 KO mice can pave the way for functional studies on the physiological role of TWIK-1.
Improving delirium assessments in acute senior health. A quality improvement project for care of the elderly
Authors: Taylor Charles , Peakman Georgia , Mackinnon Lauren , Mohamadzade Navid , Han Wayne , Mackie Lucy , Gandhi Jasmine , Mitchell Oliver , Bateman-Champain Caitlin , Hetherington Joseph , Belarbi Fahed , Alg Gaggandeep 
Published: February 2024

Abstract

Background: Delirium is a common and reversible neurobehavioral condition with significant morbidity and mortality ramifications for elderly patients. Consequentially, clear guidelines exist pertaining to its swift identification and management. However, studies suggest that adherence to these guidelines are poor. This audit aimed to evaluate compliance to the National Institute for Health and Care Excellence’s (NICE) delirium guidelines in an Acute Senior Health Unit (ASHU) and to present a single centre experience of a low-cost ward based intervention for improving delirium guideline adherence.
Methods: A retrospective observational audit was conducted on patients admitted to ASHU between 01/07/2023 and 30/07/2023. Data on delirium assessments, diagnoses and causes of delirium were obtained through retrospective database searches. Posters and education based MDT interventions were designed and initiated following grounded thematic literature analysis and ward discussion. A methodically equivalent audit was then conducted between 01/09/2023 and 30/09/23. Data was anonymised and blinded and analysis was performed on SPSS.
Results: A total of 128 patients were included in the study. Initial audit revealed suboptimal compliance with NICE recommendations. Chi-square test of independence found that patients were statistically more likely to receive a full delirium assessment (1.9% vs 56.6%, p = 0.001) and formal diagnosis (5.8% vs 27.6%, p = 0.002) after the ward based intervention.
Conclusion: This study provides limited evidence in favour of low-cost MDT based interventions for improving adherence to NICE delirium guidelines and provides a 5-step framework for future studies. This study also explores the potential patient implications of these interventions. A repeat audit should be conducted to ensure lasting and sustainable change is achieved.
Trial registration: AUDI003614
Factors Influencing Willingness to Pay for Improved Solid Waste Collection Services Among Households in Urban Cities in Uganda: Empirical Evidence From Lira City
Authors: Apio Everline , Akello Anne Ruth , Acanga Alfred , Opio Bosco 
Published: February 2024

Abstract

In most Ugandan urban areas, including Lira City, waste management is still a major challenge. In addition to contributing to air, water, and soil pollution, uncollected waste also serves as a breeding ground for pests like rats and insects, degrades the environment, draws snakes and other pests, and poses serious health risks to people. Willingness to pay for solid waste services at household level is essential for enhancing management of garbage at the community level. As a result, this study aimed to assess the variables affecting household willingness to pay for solid waste collection and disposal in Lira City. To achieve the objectives of the study, a survey was conducted utilizing a structured questionnaire to collect quantitative data from 585 randomly selected household heads and Key informant interview to elicit information from city environmental officers, city clerk, city division health inspectors, and managers of the private garbage collecting companies. STATA version 17 was used for data analysis. The households' solid waste management procedures and the level of resident readiness to pay for better garbage collection in Lira city were both assessed using descriptive analysis. Using a binary logistic model, the variables influencing household willingness to pay were examined. The research found that households willing to pay for better garbage collection services was 48.12% of the total household heads (585) and they were willing to pay on average UGX 3012/= (0.84$) per month for this services. Education level, occupation, distance to waste collection sites, and awareness of solid waste environmental concerns were all variables that significantly influenced the amount that households were prepared to pay. It was consequently recommended that citizens of Lira city be made aware of the significance of efficient solid waste management.
SWIR based estimation of TIR emissivity of bare soil surfaces using deep conditional generative adversarial network in Landsat data
Authors: Ataei Shima , Momeni Mehdi , Monadjemi Amirhassan 
Published: February 2024

Abstract

Aims
Land surface emissivity (LSE) is an important variable in soil studies. Although there are various remote sensing methods to estimate LSE, accurately predicting LSE still remains a major challenge. Typically, the correlation between LSE and the Visible Near Infrared bands is employed for LSE estimation. However, some studies have raised some concerns about this correlation, especially in bare soil areas. Therefore, it is necessary to conduct further investigation to determine if there exists a nonlinear relationship between the LSE and other spectral bands, which was not detected by simple linear correlation/regression.
Methods
In this study, firstly, a deep Auto-encoder (DAE) network has been used to investigate the correlation between LSE and other spectral bands. Subsequently, we have applied a Conditional Generative Adversarial Network (CGAN) to estimate the LSE. The proposed CGAN was trained using the Landsat and ECOSTRESS satellite datasets. The performance of the developed network was then compared with NDVI-based method on satellite/simulated-based bare soil pixels.
Results
For satellite data, the RMSE (Root Mean Squared Error) and correlation coefficient (R) between the estimated LSE using proposed CGAN and ECOSTRESS LSE are 0.005 and 0.97, respectively. For the simulated data, the RMSE and R between the estimated LSE and the simulated one are 0.01 and 0.92, respectively.
Conclusion
The results of the DAE show considerable relationship between the LSE and Short-Wave Infrared bands which not be seen using simple linear correlation.
Cytomorphological changes in urine of Sudanese patients diagnosed with hepatitis B virus
Authors: Ishaq Mohammed Osman Mohammed , Idris Alkhair Abd Almahmoud 
Published: February 2024

Abstract
Background: Mean AgNOR can be used to detect cytological changes in urine of patients with hepatitis B. The study aimed to detect the cytomorphological changes in urine of patients with hepatitis B in Kassala State-Sudan.
This were cross-sectional descriptive study conducted in Kassala hospitals. Cytological smears of exfoliative cells were collected from urine samples by sterile containers and the obtained materials were directly applied with Pap stain and AgNOR. The data were analyzed using SPSS statistical package software version 23.0.
Results: A total of 100 samples were used in this study, 50 were considered as cases and 50 as control. The urine cytological results in cases were distributed as normal in 11 (22%), suspicious of malignancy in 15 (30%), and inflammation in 24 (48%). The control group showed urine cytological results as 47 (94%) normal, and 3 (6%) inflammation. The mean AgNOR in cases was 4.76 (SD 4. 173), and in control was 0.42 (SD 0.797). The correlation between cytological results and duration of hepatitis in case group showed statistical significance (r=+0.728, p=<0.01). The correlation between cytological results and residence. The correlation between cytological results and mean AgNOR (p=0.000).
Conclusions: Mean of AgNOR can be used to detect cytological changes in urine. There is strong positive correlation between mean of AgNOR and cytological results and duration of hepatitis, age and residence.
The microRNAs inhibiting atheroprotective pathways in correlation with atherosclerosis severity in chronic coronary syndrome patients – a case control study
Authors: Michał Kowara , Michał Kopka , Karolina Kopka , Renata Główczyńska , Piotr Baruś , Agnieszka Cudnoch-Jędrzejewska 
Published: February 2024

Abstract

Background
Atherosclerotic plaque progression is regulated by different factors – both atherogenic and atheroprotective. Atheroprotective pathways involve factors like KLF2, KLF4, Mert-K, IL-10 and TGF-β. These factors are down-regulated by microRNA particles – miR-92a downregulates KLF-2, miR-10b – KLF4, miR-126 – Mert-K, miR-98 – IL10 and miR-29b – TGFβ.
Methods
A number of 44 patients with chronic coronary syndrome and atherosclerotic lesions confirmed by coronary angiography were enrolled to the study. Patients were classified according to atherosclerosis burden (assessed by Gensini Score) and presence of advanced atherosclerotic lesions. The relative expression levels in plasma of miR-92a, miR-10b, miR-126, miR-98 and miR-29b were measured by quantitative RT-PCR.
Results
The study revealed that patients with the lowest burden of atherosclerosis presented significantly increased miR-126, whereas patients with advanced atherosclerosis (i.e. presence of significant atherosclerotic lesion qualified for intervention in main coronary artery branch or chronic occlusion) presented significantly increased level of miR-92a, an inhibitor of atheroprotective KLF2.
Conclusions
The obtained results demonstrated that microRNA which down-regulate atheroprotecive pathways might differ according to atherosclerotic plaque burden and advancement.
Sexual dimorphism of rhizosphere microorganisms in Salix gordejevii under varying sandy land types
Authors: Lan Qing , Liu Guanzhi , Song Haifeng , Liu Guohou , Xu Xiao 
Published: February 2024

Abstract
Aims The relationship between dioecious plants and soil rhizosphere microorganisms remains unclear, particularly in diverse sandy environments where sex dimorphism is observed.Methods The study extensively investigated the microbial communities associated with male and female Salix gordejevii, which are widely utilized for wind deterrence and sand fixation in the arid and semi-arid regions of Inner Mongolia's middle-east area. Illumina sequencing was employed to examine the fungal and bacterial communities in the rhizospheres of male and female S. gordejevii plants across mobile, semi-arid, and fixed sandy sites.Results It was found that the bacterial community composition was largely affected by the sandy land types. The fungal community composition, however, was influenced by both the plant sexes and the site conditions. In the moving sandy site, diversity of fungi and bacteria in the rhizosphere of S. gordejevii was lower than that in the fixed sandy site. The assembly of the bacterial community in the rhizosphere of S. gordejevii was regulated by soil properties, with pH being identified as the most influential factor impacting bacterial diversity and richness.Conclusion The sharing of these core microbes among the samples implies the rhizospheres of S. gordejevii in different sandy sites exhibited a shared core community of fungi and bacteria, known for their ability to enhance plant growth and confer resistance against abiotic stress. These findings will not only unveil the impact of sexual dimorphism in S. gordejevii on microbial assemblages, but also contribute to the restoration of microbial diversity in degraded ecosystems.
Mandelonitrile lyase MDL2-mediated regulation of seed amygdalin and oil accumulation of Prunus sibirica
Authors: Chen Feng , Zang Junxin , Wang Zirui , Wang Jing , Shi Lingling , Xiu Yu , Lin Shanzhi , Lin Weijun 
Published: February 2024

Abstract
Background
The Prunus sibirica seeds with rich oils has great utilization, but contain amygdalin that can be hydrolyzed to release toxic HCN. Thus, how to effectively reduce seed amygdalin content of P. sibirica is an interesting question. Mandelonitrile is known as one key intermediate of amygdalin metabolism, but which mandelonitrile lyase (MDL) family member essential for its dissociation destined to low amygdalin accumulation in P. sibirica seeds still remains enigmatic. An integration of our recent 454 RNA-seq data, amygdalin and mandelonitrile content detection, qRT-PCR analysis and function determination is described as a critical attempt to determine key MDL and to highlight its function in governing mandelonitrile catabolism with low amygdalin accumulation in Prunus sibirica seeds for better developing edible oil and biodiesel in China
Results
To identify key MDL and to unravel its function in governing seed mandelonitrile catabolism with low amygdalin accumulation in P. sibirica. Global identification of mandelonitrile catabolism-associated MDLs, integrated with the cross-accessions/developing stages association of accumulative amount of amygdalin and mandelonitrile with transcript level of MDLs was performed on P. sibirica seeds of 5 accessions to identify crucial MDL2 for seed mandelonitrile catabolism of P. sibirica. MDL2 gene was obtained from the seeds of P. sibirica, and yeast eukaryotic expression revealed an ability of MDL2 to specifically catalyze the dissociation of mandelonitrile with the ideal values of Km (0.22 mM) and Vmax (178.57 U/mg). A combination of overexpression and mutation was conducted in Arabidopsis. Overexpression of PsMDL2 decreased seed mandelonitrile content with an increase of oil accumulation, upregulated transcript of mandelonitrile metabolic enzymes and oil synthesis enzymes (involving FA biosynthesis and TAG assembly), but exhibited an opposite situation in mdl2 mutant, revealing a role of PsMDL2-mediated regulation in seed amygdalin and oil biosynthesis. PsMDL2 has shown as key molecular target for bioengineering high seed oil production with low amygdalin in oilseed plants.
Conclusions
This work presents the first integrated assay of genome-wide identification of mandelonitrile catabolism-related MDLs and the comparative association of transcriptional level of MDLs with accumulative amount of amygdalin and mandelonitrile in the seeds across different germplasms and developmental periods of P. sibirica to determine MDL2 for mandelonitrile dissociation, and an effective combination of PsMDL2 expression and mutation, oil and mandelonitrile content detection and qRT-PCR assay was performed to address a metabolism of PsMDL2 for controlling amygdalin and oil production in P. sibirica seeds. These findings could offer new bioengineering strategy for high oil production with low amygdalin in oil plants.
Existence and computation of linear state-transformations into the controllability and observability canonical form of nonlinear dynamical systems
Authors: Willigenburg L. Gerard Van 
Published: February 2024

Abstract

Sensitivity-based algorithms very efficiently compute controllability/observability of large-scale linear and nonlinear dynamical systems. Also, they provide controllability/observability signatures pinpointing the state-variables involved in uncontrollable/unobservable modes. One contribution of this paper is to show that these algorithms can also be used to determine whether the transformation into the controllability/observability canonical form of nonlinear dynamical systems is linear or not. If linear, this paper also reveals how this transformation is obtained from the sensitivity-based algorithm. Another contribution is to show that this linear transformation can also be obtained from standard algorithms putting linear time-invariant systems into the controllability/observability canonical form. Examples of medium and large-scale nonlinear dynamical systems are presented to illustrate these contributions.