bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliability Assessment of Offshore Wind Farms for Floating Oil and Gas Platforms Cleaner Production
Authors: Almeida Gustavo Q. , Borges Carmen L. T. , Chicco Gianfranco 
Published: September 2024

Abstract

This article proposes a methodology for evaluating the reliability of offshore wind farms (OWF) connected to oil and gas platforms, to provide a more sustainable and cleaner production by producing part of the energy needed for supplying the internal services through renewable energy. Different collector network topologies are compared in order to calculate the availability of supply at the Point of Common Coupling.The evaluation is carried out by combining Markov processes to capture wind speed uncertainty with the analytical theory of the Universal Generating Function and calculates the Generation Ratio Availability and Energy Not Supplied (ENS) indices.The design of an 8 MW OWF located in northeastern Brazil is used as a test, considering two correlated wind speeds and an equivalent single wind speed. The results show that the single-sided ring collector network topology is the most reliable, while the radial one is the least reliable. The results of a sensitivity analysis of each topology to the unavailability of the collector network and the wind turbine are also presented. The use of actual correlated wind speeds instead of the equivalent one results in higher ENS and, therefore, a less reliable system. A cost analysis shows that the star topology has the highest levelized cost of electricity.
Response of Arthropods to the Anthropogenic Noise at Sandur, Ballari, Karnataka
Authors: KB Kumuda , Hema K , Chakravarthy A K 
Published: September 2024

Abstract

Arthropod diversity and species richness in the Sandur taluk Ballari have been recorded. One hundred and ninety-two species of insects were identified, and about 80% of them were beneficial to the ecosystem as natural enemies of pests, pollinators, decomposers, and scavengers; they regulate the ecosystem functioning. The rich biodiversity suggests that the study area is of high biological value and that the species are endemic to the eastern plains of Karnataka. It is observed that the abundance of arthropods varied in different habitats based on the anthropogenic noise. It is observed that the abundance of the arthropods decreased, and although the cricket calling pattern remained the same in all the habitats, the external sound masked the cricket calls. The masking and overlapping effects of cricket and grasshopper calls may manifest in differential ecological impacts.
Unveiling Novel Regulatory Mechanisms of BEX1 in Breast, Gastric, and Colorectal Cancer via a Systems Biology Approach: The Roles of lncRNAs COLCA1 and GAS6-AS1 and Their Interactions
Authors: Rezaei Mohammadreza , Salehipour Parnian , Tavakoli Mehrnoosh , Mousavi Maryam , Asgari Shima , Vatani Dorsan , Hosseinipouya Seyedeh Saba , Poudineh Younes , Rezaei Mohammad , Shirdeli Seyedeh Zahra , Ghelich Reza , Azadeh Mansoureh 
Published: September 2024

Abstract

Background: This study aimed to explore novel regulatory networks involving the BEX1 gene and its interaction with non-coding RNAs (ncRNAs) in breast cancer (BC), gastric cancer (GC), and colorectal cancer (CRC). BEX1 has been linked to tumor suppression, but its role in signaling pathways and its interactions with regulatory RNAs in these cancers has not been fully elucidated.
Methods: High-throughput microarray datasets (GSE10810, GSE54129, and GSE208099) were analyzed to investigate BEX1 expression in breast cancer, gastric cancer, and colorectal cancer. The expression analysis and survival outcomes for BEX1 and selected lncRNAs were validated using the ENCORI platform. Regulatory interactions of BEX1 with proteins and microRNAs were identified using STRING and miRWalk, respectively, while lncRNA interactions were examined through lncRRIsearch. Final validation of differential expression analysis and biomarker potential was conducted using qRT-PCR, along with ROC analysis to assess diagnostic capability.
Results: BEX1, identified as a tumor suppressor with low expression in breast, gastric, and colorectal cancer, demonstrated potential as a diagnostic biomarker, particularly in breast cancer (AUC: 0.8025, p = 0.0011). The lncRNAs COLCA1 and GAS6-AS1 were found to potentially regulate BEX1 expression. BEX1 exhibited significant interactions with two key proteins involved in cancer-related signaling pathways: CALML3 and LMO2. Moreover, BEX1 and these proteins demonstrated competitive interactions with miR-3616-3p, which was found to suppress BEX1 expression by targeting its 3'UTR. COLCA1 and GAS6-AS1 also exhibited dysregulated expression across breast, gastric, and colorectal cancers, suggesting their potential as diagnostic biomarkers.
Conclusion: The lncRNAs GAS6-AS1 and COLCA1, alongside miR-3616-3p, may play pivotal roles in regulating cancer-related pathways, including gastric acid secretion, insulin signaling, and homeostasis. These regulatory processes occur through direct and indirect interactions between the non-coding RNAs and BEX1, further highlighting the potential of these molecules as therapeutic targets and diagnostic biomarkers.
Digital Assets: Vulnerabilities and their Classification
Authors: Soin Anurag , Putnins Talis , Staples Mark 
Published: September 2024

Abstract

The adoption of digital assets and distributed ledger technology in finance is rapidly increasing. It comes with new types of risks, currently not adequately covered in conventional risk management frameworks. This paper identifies, reviews and categorises these risks. It draws on a systematic review of literature between 2016 and 2023 and classifies the vulnerabilities by layer - network layer, consensus layer, protocol layer, and enablement layer.
JEL Classification - D81. D83. E42 G23. G32.O32
The relationship between the occurrence of asthma and diabetes.
Authors: shahroor Waleed adnan 
Published: September 2024

Abstract

Introduction: Diabetes is a major public health problem, and there is a continuing increase in the incidence and long-term complications. These complications are mainly sequelae of microvascular destruction in target organs. Many lung injuries occur in the context of diabetes due to the presence of abundant microcirculation and abundance of tissues. Macrophages, raising the possibility that lung tissue is a target organ in patients with diabetes.
Research objectives: This research was designed to study the effect of diabetes, both the duration of infection with this disease, and control of diabetic status on lung function and the incidence of asthma.
Methods and materials: A cross-sectional study, conducted on 100 diabetic patients attending Damascus Hospital in the period between 1/1/20217 and 1/1/2023. It was compared with a control group consisting of 100 healthy individuals without diabetes. It was recorded. Hemoglobin, fasting blood sugar, and a lung function test (spirometry) were measured for all participants in the study, and the following lung measurements were taken: maximum expiratory volume in the first second (FEV1), forced vital capacity (FVC), ratio (FEV1/FVC). Analyze the results using: mean + standard deviation, Pearson's chi-square, Pearson's correlation coefficient, and ANOVA test.
Results: The average percentage of expected FEV1 and expected FVC in people with diabetes is lower compared to healthy non-diabetic controls (p smaller than 0.05), and these values were lower in patients without controlled blood sugar compared to patients with controlled blood sugar, and the values were also lower in patients with diabetes for a longer period of time, these values were lower in patients with type 1 diabetes, and all previous criteria led to the occurrence of asthma.
Conclusion: The findings in this study suggest that the lung is a target organ for diabetes, and that diabetic patients have a decline in lung function and the incidence of asthma compared to non-diabetics in a blockade lesion model. Lung function deteriorates the longer the duration of diabetes and the longer the diabetes is uncontrolled.
Does institutional location matter? The effect of agency type on resource distribution for nonpoint water pollution
Authors: Aistrup Joseph A. , Morris John C. 
Published: September 2024

ABSTRACT

With the rejuvenated emphasis on nonpoint pollution under the Water Quality Act (WQA) of 1987, states seek ways to address nonpoint pollution sources. States can use Clean Water State Revolving Funds (CWSRF) to address nonpoint needs; these funds are administered by state agencies, and funding decisions are typically made by agency personnel. While some states have aggressively funded nonpoint projects, other states have been much more reticent. Moreover, states have created different administrative structures to administer these funds. Does the nature of the structure impact the distribution of loans? Utilizing a dataset spanning state-level data from 1988 to 2016, we test a novel negative binomial cross-sectional time-series model employing the number of CWSRF loans directed to nonpoint projects as the dependent variable. We find that states where water quality management is buried within a ‘mini-EPA’ agency are the least likely to allocate CWSRF loans for nonpoint source issues, whereas states with ‘super’ agencies or combined environmental/health agencies allocate a higher number of CWSRF loans to nonpoint source projects.
Electric energy consumption (EEC) in groundwater-based drinking water supply systems: analysis and comparison of seven Italian case studies
Authors: Gibellni Silvia , Gialdini Francesca , Masoud Ahmed , Sorlini Sabrina 
Published: September 2024

ABSTRACT
Drinking water and wastewater services depend on energy: electric energy consumption (EEC) of this sector amounts to 2–3% of global EEC. The attention of the scientific community and of water utilities about this topic is focused on energy optimization of wastewater treatment plants and pumping stages in drinking water supply systems (DWSSs). However, because of increasingly stringent regulations and because of more and more extended water-source pollution, the need for ‘unconventional’ drinking water treatment systems, which are very energy-intensive, will bring treatment to be a key factor in this scenario. Analyzing EEC in seven full-scale DWSSs, we wanted to control EEC in every single stage of the DWSS (withdrawal, drinking water treatment plant (DWTP) and distribution) and to identify opportunities for reducing energy consumption in DWSS, with a special focus on each drinking water treatment process. The most energy-intensive unconventional treatment turns out to be membrane filtration by reverse osmosis (for which specific consumption per cubic meter of pumped water is equal to 0.243 Wh/m3), whereas the most energy-intensive conventional treatment turns out to be air oxidation (specific EEC from 0.012 to 0.087 kWh/m3). The main strategies for energy conservation can be applied both in management and in the design phase.
Jargon and Readability in Plain Language Summaries of Health Research: Cross-Sectional Observational Study
Authors: Lang Iain A , King Angela , Boddy Kate , Stein Ken , Asare Lauren , Day Jo , Liabo Kristin 
Published: September 2024

Background
The idea of making science more accessible to nonscientists has prompted health researchers to involve patients and the public more actively in their research. This sometimes involves writing a plain language summary (PLS), a short summary intended to make research findings accessible to nonspecialists. However, whether PLSs satisfy the basic requirements of accessible language is unclear.

Objective
We aimed to assess the readability and level of jargon in the PLSs of research funded by the largest national clinical research funder in Europe, the United Kingdom’s National Institute for Health and Care Research (NIHR). We also aimed to assess whether readability and jargon were influenced by internal and external characteristics of research projects.

Methods
We downloaded the PLSs of all NIHR National Journals Library reports from mid-2014 to mid-2022 (N=1241) and analyzed them using the Flesch Reading Ease (FRE) formula and a jargon calculator (the De-Jargonizer). In our analysis, we included the following study characteristics of each PLS: research topic, funding program, project size, length, publication year, and readability and jargon scores of the original funding proposal.

Results
Readability scores ranged from 1.1 to 70.8, with an average FRE score of 39.0 (95% CI 38.4-39.7). Moreover, 2.8% (35/1241) of the PLSs had an FRE score classified as “plain English” or better; none had readability scores in line with the average reading age of the UK population. Jargon scores ranged from 76.4 to 99.3, with an average score of 91.7 (95% CI 91.5-91.9) and 21.7% (269/1241) of the PLSs had a jargon score suitable for general comprehension. Variables such as research topic, funding program, and project size significantly influenced readability and jargon scores. The biggest differences related to the original proposals: proposals with a PLS in their application that were in the 20% most readable were almost 3 times more likely to have a more readable final PLS (incidence rate ratio 2.88, 95% CI 1.86-4.45). Those with the 20% least jargon in the original application were more than 10 times as likely to have low levels of jargon in the final PLS (incidence rate ratio 13.87, 95% CI 5.17-37.2). There was no observable trend over time.

Conclusions
Most of the PLSs published in the NIHR’s National Journals Library have poor readability due to their complexity and use of jargon. None were readable at a level in keeping with the average reading age of the UK population. There were significant variations in readability and jargon scores depending on the research topic, funding program, and other factors. Notably, the readability of the original funding proposal seemed to significantly impact the final report’s readability. Ways of improving the accessibility of PLSs are needed, as is greater clarity over who and what they are for.
Seasonal and Weekly Patterns of Korean Adolescents’ Web Search Activity on Insomnia: Retrospective Study
Authors: Baek Kwangyeol , Jeong Jake , Kim Hyun-Woo , Shin Dong-Hyeon , Kim Jiyoung , Lee Gha-Hyun , Cho Jae Wook 
Published: September 2024

Background
Sleep deprivation in adolescents is a common but serious public health issue. Adolescents often have a progressive circadian delay and suffer from insufficient sleep during weekdays due to the school schedule. Temporal patterns in internet search activity data can provide relevant information for understanding the characteristic sleep problems of the adolescent population.

Objective
We aimed to reveal whether adolescents exhibit distinct temporal seasonal and weekly patterns in internet search activity on insomnia compared to adults.

Methods
We hypothesized that adolescents exhibit larger variations in the internet search volume for insomnia, particularly in association with the school schedule (e.g., academic vacations and weekends). We extracted the daily search volume for insomnia in South Korean adolescents (13-18 years old), adults (19-59 years old), and young adults (19-24 years old) during the years 2016-2019 using NAVER DataLab, the most popular search engine in South Korea. The daily search volume data for each group were normalized with the annual median of each group. The time series of the search volume was decomposed into slow fluctuation (over a year) and fast fluctuation (within a week) using fast Fourier transform. Next, we compared the normalized search volume across months in a year (slow fluctuation) and days in a week (fast fluctuation).

Results
In the annual trend, 2-way ANOVA revealed a significant (group) × (month) interaction (P<.001). Adolescents exhibited much greater seasonal variations across a year than the adult population (coefficient of variation=0.483 for adolescents vs 0.131 for adults). The search volume for insomnia in adolescents was notably higher in January, February, and August, which are academic vacation periods in South Korea (P<.001). In the weekly pattern, 2-way ANOVA revealed a significant (group) × (day) interaction (P<.001). Adolescents showed a considerably increased search volume on Sunday and Monday (P<.001) compared to adults. In contrast, young adults demonstrated seasonal and weekly patterns similar to adults.

Conclusions
Adolescents demonstrate distinctive seasonal and weekly patterns in internet searches on insomnia (ie, increased search in vacation months and weekend–weekday transitions), which are closely associated with the school schedule. Adolescents’ sleep concerns might be potentially affected by the disrupted daily routine and the delayed sleep phase during vacations and weekends. As we demonstrated, comparing various age groups in infodemiology and infoveillance data might be helpful in identifying distinctive features in vulnerable age groups.
Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Algorithm Development and Validation Study
Authors: Strauven Hannelore , Wang Chunzhuo , Hallez Hans , Vanden Abeele Vero , Vanrumste Bart 
Published: September 2024

Abstract

Background
The rising prevalence of urinary incontinence (UI) among older adults, particularly those living in nursing homes (NHs), underscores the need for innovative continence care solutions. The implementation of an unobtrusive sensor system may support nighttime monitoring of NH residents’ movements and, more specifically, the agitation possibly associated with voiding events.

Objective
This study aims to explore the application of an unobtrusive sensor system to monitor nighttime movement, integrated into a care bed with accelerometer sensors connected to a pressure-redistributing care mattress.

Methods
A total of 6 participants followed a 7-step protocol. The obtained dataset was segmented into 20-second windows with a 50% overlap. Each window was labeled with 1 of the 4 chosen activity classes: in bed, agitation, turn, and out of bed. A total of 1416 features were selected and analyzed with an XGBoost algorithm. At last, the model was validated using leave one subject out cross-validation (LOSOCV).

Results
The trained model attained a trustworthy overall F1-score of 79.56% for all classes and, more specifically, an F1-score of 79.67% for the class “Agitation.”

Conclusions
The results from this study provide promising insights in unobtrusive nighttime movement monitoring. The study underscores the potential to enhance the quality of care for NH residents through a machine learning model based on data from accelerometers connected to a viscoelastic care mattress, thereby driving progress in the field of continence care and artificial intelligence–supported health care for older adults.
Edge geodetic fault tolerant domination number of a graph
Authors: Stalin D. , Johnson John 
Published: September 2024

For a connected graph G = (V, E), a set F⊆V is said to be an edge geodetic fault tolerant dominating set of G if F is both edge geodetic set and fault tolerant dominating set of G. The minimum cardinality of an edge geodetic fault tolerant dominating set of G is called the edge geodetic fault tolerant domination number of G and is denoted by γgeft(G). The edge geodetic fault tolerant domination number of certain classes of graphs are determined. It is shown that for each pair of integers 3 ≤a < b, there exists a connected graph G such that γ(G) = a, γge (G)= b and γgeft(G) = a + b-1, where γ(G), ge γ(G) and γgeft(G) are the domination number, edge geodetic domination number and edge geodetic fault tolerant domination number of G respectively.
Falconí Trávez, Diego. Derecho y literatura en América Latina. Un análisis comparatista desde el género. Valencia: Tirant lo Blanch, 2023
Authors: Morin Flores Alba Nidia 
Published: September 2024

RESEÑA DEL LIBRO:Falconí Trávez, Diego. Derecho y literatura en América Latina. Un análisis comparatista desde el género. Valencia: Tirant lo Blanch, 2023
Phytochemical Estimation and Antioxidant Potential of Cinchona officinalis L. Stem Bark Extracts
Authors: Yadav Ravi , Sahu Manisha , Yadav Premkumar Kishan , Thakur Sonpal Singh , Rathi Jagdish 
Published: September 2024

Stem bark of Cinchona sp. (Rubiaceae) is one of the well known drugs for its therapeutic values in traditional as well as modern medicine. Even though a lot of work has been carried out on quinoline alkaloids of Cinchona, its phenolic constituents received very little attention. The aim of the present study was to evaluate in vitro antioxidant activities, qualitative and quantitative phytochemical analysis of Cinchona officinalis L (C. officinalis) stem bark collected from Bhopal region of Madhya Pradesh. Qualitative analysis of various phytochemical constituents and quantitative analysis of total phenolic content were determined by the well-known test protocol available in the literature. The in vitro antioxidant activity of aqueous extract of the stem bark was assessed against DPPH radical scavenging assay methods using standard protocols. Phytochemical analysis revealed the presence of, carbohydrates, flavonoids, diterpines, saponins, protein and phenols. The total phenolic content of aqueous stem bark extract of C. officinalis was found to be 0.548mg/100mg respectively. The activities of aqueous extracts against DPPH assay method were concentration dependent. The diverse array of phytochemicals present in the plant thus suggests its therapeutic potentials which may be explored in drug manufacturing industry as well as in traditional medicine.
Keywords: Cinchona officinalis L, Rubiaceae, Antioxidant activity, DPPH assay method.
Metabolomic Fingerprints of Medical Therapy Versus Bariatric Surgery in Patients With Obesity and Type 2 Diabetes: The STAMPEDE Trial
Authors: Axelrod Christopher L. , Hari Adithya , Dantas Wagner S. , Kashyap Sangeeta R. , Schauer Philip R. , Kirwan John P. 
Published: September 2024

OBJECTIVE
Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) are effective procedures to treat and manage type 2 diabetes (T2D). However, the underlying metabolic adaptations that mediate improvements in glucose homeostasis remain largely elusive. The purpose of this study was to identify metabolic signatures associated with biochemical resolution of T2D after medical therapy (MT) or bariatric surgery.

RESEARCH DESIGN AND METHODS
Plasma samples from 90 patients (age 49.9 ± 7.6 years; 57.7% female) randomly assigned to MT (n = 30), RYGB (n = 30), or SG (n = 30) were retrospectively subjected to untargeted metabolomic analysis using ultra performance liquid chromatography with tandem mass spectrometry at baseline and 24 months of treatment. Phenotypic importance was determined by supervised machine learning. Associations between change in glucose homeostasis and circulating metabolites were assessed using a linear mixed effects model.

RESULTS
The circulating metabolome was dramatically remodeled after SG and RYGB, with largely overlapping signatures after MT. Compared with MT, SG and RYGB profoundly enhanced the concentration of metabolites associated with lipid and amino acid signaling, while limiting xenobiotic metabolites, a function of decreased medication use. Random forest analysis revealed 2-hydroxydecanoate as having selective importance to RYGB and as the most distinguishing feature between MT, SG, and RYGB. To this end, change in 2-hydroxydecanoate correlated with reductions in fasting glucose after RYGB but not SG or MT.

CONCLUSIONS
We identified a novel metabolomic fingerprint characterizing the longer-term adaptations to MT, RYGB, and SG. Notably, the metabolomic profiles of RYGB and SG procedures were distinct, indicating equivalent weight loss may be achieved by divergent effects on metabolism.