bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporal variability of sea surface temperature affects marine macrophytes range retractions as well as gradual warming
Authors: Chefaoui Rosa M. , Martínez Brezo D.-C. , Viejo Rosa M. 
Published: June 2024

AbstractRecord mean sea surface temperatures (SST) during the past decades and marine heatwaves have been identified as responsible for severe impacts on marine ecosystems, but the role of changes in the patterns of temporal variability under global warming has been much less studied. We compare descriptors of two time series of SST, encompassing extirpations (i.e. local extinctions) of six cold-temperate macroalgae species at their trailing range edge. We decompose the effects of gradual warming, extreme events and intrinsic variability (e.g. seasonality). We also relate the main factors determining macroalgae range shifts with their life cycles characteristics and thermal tolerance. We found extirpations of macroalgae were related to stretches of coast where autumn SST underwent warming, increased temperature seasonality, and decreased skewness over time. Regardless of the species, the persisting populations shared a common environmental domain, which was clearly differentiated from those experiencing local extinction. However, macroalgae species responded to temperature components in different ways, showing dissimilar resilience. Consideration of multiple thermal manifestations of climate change is needed to better understand local extinctions of habitat-forming species. Our study provides a framework for the incorporation of unused measures of environmental variability while analyzing the distributions of coastal species.
Development of isoniazid electrochemical sensor using nickel ferrite - nitrogen and sulfur co-doped graphene quantum dot nanocomposite as a new electrode modifier
Authors: Ahsani Mohammad Kazem , Ahour Fatemeh , Asghari Elnaz 
Published: June 2024

AbstractThis work reports the synthesis of nickel ferrite decorated nitrogen and sulfur co-doped graphene quantum dot (NF@N, S:GQD) and its use as an electrode modifier. The developed NF@N, S:GQD modified glassy carbon electrode (NF@N, S:GQD/GCE) was applied to assess isoniazid (INZ) concentration based on its oxidation at the surface of the proposed electrode. Cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were used as appropriate electrochemical techniques to study the electrochemical behavior of INZ and determine it. Based on combined evidence from surveys, research, and personal results, it is thought that the combination of nickel ferrite and doped graphene quantum dots can synergistically affect results, leading to increased sensitivity and reduced detection limits. This is probably mainly due to the high electrical conductivity of N, S-GQD structure, the electrocatalytic effect of nickel ferrite, and increased surface area resulting from the nano size of the modifier. The optimum conditions for preparing of the modified electrode and determination of INZ are selected by performing electrochemical experiments. The voltammetric response of the sensor is linear from 0.3 to 40 nM INZ under optimal conditions and the detection limit of the sensor is 0.1 nM. The validity and performance of the prepared sensor were confirmed by determining the amount of INZ in the drug and urine as real samples. The composite of doped nanoparticles and nickel ferrite is an innovative modification material to create electrochemical sensors with high sensitivity and selectivity that can be used in pharmaceutical applications.
Consumption status of functional drinks based on the theory of planned behavior and the stages of change model in female employees
Authors: Toorani Azam , Moodi Mitra , Zeinali Tayebeh , Salmani Fatemeh , Norozi Ensiyeh 
Published: June 2024

AbstractThis study aimed to determine the consumption status of functional drinks based on the theory of planned behavior and the Stages of Change Model. This study was conducted on 536 female employees of Birjand offices in 2022. The data was collected by using the functional food questionnaire and was analyzed using SPSS with significance level of P < 0.05. The largest number of people consume probiotic drinks (buttermilk, kefir, etc.) were in the maintenance stages (31.2%) and who consume milk fortified with vitamin D were in the contemplation stage (37.3%). The mean score of the participants in the subscales of attitude, behavioral control, and subjective norm was 17.69 ± 3.05, 16.83 ± 2.88, 21.73 ± 4.33, respectively. The mean score of the attitude and subjective norm regarding the consumption of all drinks had a significant relation with the stages of change model (p < 0.05). The results of this study showed that the most drinks that female employees consumed regularly were probiotic drinks, while they did not intend to use functional juices (pre-contemplation stage). Therefore, it seems that this theory can be used as a framework in designing educational programs in order to increase the consumption of functional foods and improve women's health.
Completion rates and myelosuppression degrees of cancer patients receiving radiotherapy or chemoradiotherapy unchanged regardless of delay duration after Omicron infection
Authors: Zhang Zhenyu , Zhou Juan , Peng Xun , Li Ping , Meng Xue , Hu Man , Zhao Miaoqing , Lin Qinghai , Ru Kun 
Published: June 2024

AbstractThis study aimed to investigate impacts of Omicron infection on cancer patients in China. A retrospective study was conducted, including 347 cancer patients undergoing radiotherapy or chemoradiotherapy between July 2022 and March 2023. Three groups involved: 108 patients without SARS-CoV-2 infection (non-COVID-19 group), 102 patients beginning treatment 10 days after first SARS-CoV-2 infection (≥ 10 days COVID-19 group), and 137 patients beginning treatment less than 10 days after first SARS-CoV-2 infection (< 10 days COVID-19 group). SAA, hsCRP, ALT, etc., were used to assess COVID-19 infection. Serum levels of SAA, hsCRP and IL-6 were all raised in two COVID-19-infected groups (SAA < 0.01, hsCRP < 0.01, IL-6 < 0.05), but PCT, ALT, LDH and HBDH levels were only elevated in ≥ 10 days COVID-19 group (PCT = 0.0478, ALT = 0.0022, LDH = 0.0313, HBDH = 0.0077). Moreover, moderate and severe infected cases were higher in ≥ 10 days COVID-19 group than < 10 days COVID-19 group (12/102 vs 5/137, p = 0.0211), but no significance in myelosuppression and completion rates among three groups. Omicron infection led to inflammation, liver and cardiovascular injury on cancer patients, but delay duration of radiotherapy or chemoradiotherapy after infection did not affect the completion rates and myelosuppression of current therapy. Besides, severity of Omicron infection was even worse among cancer patients who received delayed treatment.
The impact of lifetime substance use on psychiatric comorbidities and treatment seeking in patients with alcohol use disorders
Authors: Engelgardt Piotr , Krzyżanowski Maciej , Borkowska-Sztachańska Małgorzata , Wasilewska Agnieszka , Ciucias Michał 
Published: June 2024

AbstractIt is well-recognized that individuals with alcohol-related disorders often use other psychoactive substances; however, systematic research on this topic remains limited. The primary objective was to determine the prevalence of lifetime psychoactive substance use and describe the dependence between concurrent use of alcohol and other drugs on psychiatric comorbidities in the analyzed group. The secondary aim was to try to assess the frequency of seeking psychiatric treatment between individuals declaring the concurrent use of alcohol with other drugs and those declaring the use only alcohol. The study was designed as a retrospective cross-sectional analysis based on discharge reports from psychiatric patients admitted to the Regional Psychiatric Hospital in Olsztyn, Poland. 1015 cases were included and analyzed in the study. Data for the study were collected in specially designed monitoring cards from discharge reports including data from psychiatric examinations, especially anamnesis. The percentage of people declaring lifetime use of psychoactive substances was 17.6%. 2.8% of them were diagnosed with substance-related disorders (F11–19 according to ICD-10). The most frequently declared use was cannabis, followed by amphetamine-type substances, benzodiazepines and new psychoactive substances. In the group of people declaring the lifetime use of psychoactive substances, 13.4% were additionally diagnosed with mental disorders. It was, consequently, 8% in the group of people denying the lifetime use of psychoactive substances. People declaring lifetime use of psychoactive substances were significantly more likely to seek psychiatric treatment, i.e. they were admitted significantly more often on an emergency admission than on an elective one, these people were significantly more likely to have undergone psychiatric treatment in the past and were more often hospitalized in our center during the research period. People who concurrently use alcohol with other drugs significantly more often have psychiatric comorbidity than people who deny the use of other drugs. That group also visibly more often seeks psychiatric treatment than patients who deny taking psychoactive substances.
A multi-feature spatial–temporal fusion network for traffic flow prediction
Authors: Yan Jiahe , Li Honghui , Zhang Dalin , Bai Yanhui , Xu Yi , Han Chengshan 
Published: June 2024

AbstractThe traffic flow prediction is the key to alleviate traffic congestion, yet very challenging due to the complex influence factors. Currently, the most of deep learning models are designed to dig out the intricate dependency in continuous standardized sequences, which are dependent to high requirements for data continuity and regularized distribution. However, the data discontinuity and irregular distribution are inevitable in the real-world practical application, then we need find a way to utilize the powerful effect of the multi-feature fusion rather than continuous relation in standardized sequences. To this end, we conduct the prediction based on the multiple traffic features reflecting the complex influence factors. Firstly, we propose the ATFEM, an adaptive traffic features extraction mechanism, which can select important influence factors to construct joint temporal features matrix and global spatial features matrix according to the traffic condition. In this way, the feature’s representation ability can be improved. Secondly, we propose the MFSTN, a multi-feature spatial–temporal fusion network, which include the temporal transformer encoder and graph attention network to obtain the latent representation of spatial–temporal features. Especially, we design the scaled spatial–temporal fusion module, which can automatically learn optimal fusion weights, further adapt to inconsistent spatial–temporal dimensions. Finally, the multi-layer perceptron gets the mapping function between these comprehensive features and traffic flow. This method helps to improve the interpretability of the prediction. Experimental results show that the proposed model outperforms a variety of baselines, and it can accurately predict the traffic flow when the data missing rate is high.
Impact of systematic diabetes screening on peri-operative infections in patients undergoing cardiac surgery
Authors: Mattina Alessandro , Raffa Giuseppe Maria , Giusti Maria Ausilia , Conoscenti Elena , Morsolini Marco , Mularoni Alessandra , Fazzina Maria Luisa , Di Carlo Daniele , Cipriani Manlio , Musumeci Francesco , Arcadipane Antonio , Pilato Michele , Conaldi Pier Giulio , Bellavia Diego 
Published: June 2024

AbstractDetection of high glycated hemoglobin (A1c) is associated with worse postoperative outcomes, including predisposition to develop systemic and local infectious events. Diabetes and infectious Outcomes in Cardiac Surgery (DOCS) study is a retrospective case–control study aimed to assess in DM and non-DM cardiac surgery patients if a new screening and management model, consisting of systematic A1c evaluation followed by a specialized DM consult, could reduce perioperative infections and 30-days mortality. Effective July 2021, all patients admitted to the cardiac surgery of IRCCS ISMETT were tested for A1c. According to the new protocol, glucose values of patients with A1c ≥ 6% or with known diabetes were monitored. The diabetes team was activated to manage therapy daily until discharge or provide indications for the diagnostic-therapeutic process. Propensity score was used to match 573 patients managed according to the new protocol (the Screen+ Group) to 573 patients admitted before July 2021 and subjected to the traditional management (Screen−). Perioperative prevalence of infections from any cause, including surgical wound infections (SWI), was significantly lower in the Screen+ as compared with the Screen− matched patients (66 [11%] vs. 103 [18%] p = 0.003). No significant difference was observed in 30-day mortality. A1c analysis identified undiagnosed DM in 12% of patients without known metabolic conditions. In a population of patients undergoing cardiac surgery, systematic A1c evaluation at admission followed by specialist DM management reduces perioperative infectious complications, including SWI. Furthermore, A1c screening for patients undergoing cardiac surgery unmasks unknown DM and enhances risk stratification.
Bone microstructural characteristics or positional changes of condyle head affect short-term condyle head resorption after orthognathic surgery
Authors: Miyagawa Kazuaki , Arikawa Chihiro , Hayashi Koichi , Seki Soju , Yokota Yusuke , Harada Kazuma , Tanaka Susumu , Isomura Emiko Tanaka 
Published: June 2024

AbstractCondylar resorption occurs in some cases after orthognathic surgery, and the risk factors associated with postoperative condylar head resorption have been extensively described. Nevertheless, even in cases with a combination of risk factors, postoperative condylar resorption may not appear. This study analyzed the microstructure and three-dimensional positional change of the condylar bone via imaging in patients who have undergone bimaxillary orthognathic surgery to determine whether the microstructure or condylar position differs between patients with and without postoperative condylar resorption. Among asymptomatic patients who underwent bimaxillary surgery between April 2021 and March 2022 at our department, 17 patients were analyzed, limited to “female,” “skeletal Class II,” and “high-angle cases,” which are known risk factors for mandibular head resorption. Multidetector computed tomography was performed on these patients before and 6 months after surgery, and the bone microstructure of the condylar head and the three-dimensional positional changes of the condylar bone and the proximal bony fragments were compared with the presence of postoperative condyle resorption using the bone morphology software TRI/3D-BON. Patients with condylar bone abnormalities before surgery and those with high trabecular bone density can develop postoperative resorption if the condyle is misaligned by surgery.
Computational evaluation and benchmark study of 342 crystallographic holo-structures of SARS-CoV-2 Mpro enzyme
Authors: Khachatryan Hamlet , Matevosyan Mher , Harutyunyan Vardan , Gevorgyan Smbat , Shavina Anastasiya , Tirosyan Irina , Gabrielyan Yeva , Ayvazyan Marusya , Bozdaganyan Marine , Fakhar Zeynab , Gharaghani Sajjad , Zakaryan Hovakim 
Published: June 2024

AbstractThe coronavirus disease 19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to a global health crisis with millions of confirmed cases and related deaths. The main protease (Mpro) of SARS-CoV-2 is crucial for viral replication and presents an attractive target for drug development. Despite the approval of some drugs, the search for effective treatments continues. In this study, we systematically evaluated 342 holo-crystal structures of Mpro to identify optimal conformations for structure-based virtual screening (SBVS). Our analysis revealed limited structural flexibility among the structures. Three docking programs, AutoDock Vina, rDock, and Glide were employed to assess the efficiency of virtual screening, revealing diverse performances across selected Mpro structures. We found that the structures 5RHE, 7DDC, and 7DPU (PDB Ids) consistently displayed the lowest EF, AUC, and BEDROCK scores. Furthermore, these structures demonstrated the worst pose prediction results in all docking programs. Two structural differences contribute to variations in docking performance: the absence of the S1 subsite in 7DDC and 7DPU, and the presence of a subpocket in the S2 subsite of 7DDC, 7DPU, and 5RHE. These findings underscore the importance of selecting appropriate Mpro conformations for SBVS, providing valuable insights for advancing drug discovery efforts.
Is Hyperoxia in Early Pediatric Veno-veno Extracorporeal Life Support Associated with Mortality?
Authors: Ghaith Beshish Asaad , Rodriguez-Morales Paola , Shamah Rebecca , Qian Joshua , Keane-Lerner Kasey , Zinyandu Tawanda , Nayi Pranay , Davis Joel , Rosenblum Joshua , Viamonte Heather 
Published: June 2024

Background: Data is limited regarding the effects of supraphysiologic blood oxygen tension (hyperoxia) in patients requiring extracorporeal life support (ECLS). We sought to evaluate the association between hyperoxia and outcomes in pediatric patients requiring veno-venous (VV) ECLS.

Methods: Retrospective single-center study at an academic children’s hospital that included all patients 0–18 years who required VV-ECLS between 01/2014–12/2019.

Results: During the study period 110 VV-ECLS runs occurred in 110 patients. Using a receiver operating characteristic curve, a mean PaO2 of 122 mmHg in the first 48-hours of ECLS was determined to have the optimal discriminatory ability with regard to mortality (sensitivity 41% and specificity 86%). Of the VV-ECLS runs, 68 (61.8%) had PaO2 > 122 mmHg (hyperoxia group). The hyperoxia group tended to be older (105.4 vs 1.6 months, p=0.001), had higher rates of hemorrhagic complications (69.6% vs 25.3%, p=0.0001), and higher mortality rate (57.9% vs 19.5%, p=0.002). Adjusting for confounders, the hyperoxia group had higher odds of mortality (OR 7.97, 95% CI 1.72 – 36.86, p=0.0079).

Conclusion: Children exposed to hyperoxia during the first 48-hours of VV-ECLS were 8 times more likely to die than those who were not after adjusting for confounders (age group, BSA, and indication for ECLS). Multicenter and prospective evaluation of this modifiable risk factor is imperative to improving the care of this high-risk cohort.
Carbon emissions cap or energy technology subsidies? Exploring the carbon reduction policy based on a multi-technology sectoral DSGE model
Authors: Gu Jianping , Li Yi , Hong Jingke , Wang Lu 
Published: June 2024

AbstractAs global climate change becomes increasingly severe, energy technology innovation has become a key means of coping with the climate crisis and realizing green and low-carbon development. However, existing literature rarely examines the effects of carbon emission reduction policies based on the perspective of energy technology progress for both short-term economic fluctuations and long-term equilibrium. This paper introduces the fossil energy technology sector and the renewable energy technology sector into the dynamic stochastic general equilibrium (DSGE) model, and compares the effectiveness of the carbon emission cap policy, the fossil energy technology subsidy policy, and the renewable energy technology subsidy policy under the framework of China’s carbon trading market in promoting macroeconomic growth and controlling pollutant emissions. We found that in long-term, the emission reduction effect of the carbon emission cap policy falls short of the other two policies, and subsidizing fossil fuel technologies is more cost-efficient comparatively. The government expenditure shock can all stimulate macroeconomic growth with crowding out of private investment and household consumption, whereas the energy technology research productivity shock leads to a decline in total output and an increase in renewable energy technology demand. In addition, pollutant emissions are pro-cyclical under the impact of total carbon policies and counter-cyclical under the impact of energy technology subsidy policies. This article constructs a multi-technology sectoral dynamic stochastic general equilibrium model, expanding the research perspective and theoretical framework for evaluating carbon emission reduction policies. At the same time, it proves the importance of the government to implement the phased energy technology subsidy policy while implementing the carbon emission cap policy, which provides important enlightenment for the implementation and adjustment of carbon emission reduction policy.
Acclimation mechanism of microalgal photosynthetic apparatus under low atmospheric pressures – new astrobiological perspectives in a Mars-like atmosphere
Authors: Gritsi Charalampia-Stavroula , Sarmas Evangelos , Daskalakis Vangelis , Kotzabasis Kiriakos 
Published: June 2024

This study reveals a new acclimation mechanism of the eukaryotic unicellular green alga Chlorella vulgaris in terms of the effect of varying atmospheric pressures on the structure and function of its photosynthetic apparatus using fluorescence induction measurements (JIP-test). The results indicate that low (400 mbar) and extreme low (<10 mbar) atmospheric pressure decreases the density and thus increases the fluidity of the thylakoid membrane, possibly facilitating plastoquinone (PQ) movement within the membrane and resulting in enhanced photosynthetic electron flow and photochemical quenching. Molecular dynamic simulations of different light harvesting complexes within thylakoid membrane models confirm this mechanism and reveal the associated atomic scale details. The exposure of microalga to an extremely low pressure (<10 mbar) in a 100% CO2 atmosphere (simulating the Mars atmosphere), reveals that the impact of extremely low atmospheric pressure on PQ mobility within the photosynthetic membrane, coupled with the low density of an almost 100% CO2 Mars-like atmosphere, results to a similar photosynthetic efficiency to that on Earth. These findings pave the way for the identification of novel functional acclimation mechanisms of microalgae to extreme environments that are vastly distinct from those found on Earth.