bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the benefit of gonadotropin-releasing hormone agonist treatment in premenopausal women undergoing hematopoietic cell transplantation
Authors: Han Ruxue , Song Ziyi , Li Huiling , Wang Chaohua , Zhang Leping , Yang Xin 
Published: September 2023

AbstractGonadotropin-releasing hormone agonist (GnRHa) appears to exhibit ovarian protection during chemotherapy for malignant tumors. The purpose of this study was to analyze the benefits of GnRHa in premenopausal women undergoing hematopoietic cell transplantation (HSCT). Candidates for myeloablative chemotherapy HSCT requiring fertility preservation in the Gynecological Endocrinology Clinic of Peking University People’s Hospital from December 2011 to December 2021 were retrospectively analyzed. Patients who chose to receive GnRHa treatment were given at least 2 courses of a 3.75-mg dose of a GnRHa before myeloablative chemotherapy, and patients who chose not to receive GnRHa treatment were included in the control group. All patients were monitored for menstruation return and menopause-related symptoms, and ovarian function tests [follicle-stimulating hormone (FSH), luteinizing hormone, and estradiol] were performed 6–12 months after HSCT. In addition, we assessed the vaginal bleeding of patients in the laminar air-flow room (LAFR). A total of 234 cases were included in this study: 77 cases in the treatment group and 157 cases in the control group. The incidence of vaginal bleeding in the LAFR in the treatment group was significantly lower than that in the control group (24.68% vs. 79.62%, P < 0.001). The menopausal symptoms of the patients in the treatment group were reduced after transplantation (46.75% vs. 19.75%, P < 0.001). There was no difference in visible follicles by follow-up ultrasound in the two groups after HSCT (16.88% vs. 13.38%, P = 0.474). The level of FSH at 6–12 months after transplantation was lower (98.00 mIU/ml vs. 117.53 mIU/ml, P = 0.001). The proportion of patients with FSH < 40 mIU/ml did not differ between the two groups. One patient in the treatment group recovered spontaneous menstruation, while none recovered spontaneous menstruation in the control group (1.30% vs. 0%, P = 0.329). The use of GnRHa may relieve menopause-related symptoms and reduce vaginal bleeding in the LAFR and breakthrough bleeding after transplantation. GnRHa treatment can reduce the level of FSH after myeloablative chemotherapy, but it cannot reduce the incidence of premature ovarian failure in women of reproductive age following myeloablative HSCT.
Effectiveness of physical activity interventions on reducing perceived fatigue among adults with chronic conditions: a systematic review and meta-analysis of randomised controlled trials
Authors: Barakou Ioulia , Sakalidis Kandianos Emmanouil , Abonie Ulric Sena , Finch Tracy , Hackett Katie L. , Hettinga Florentina Johanna 
Published: September 2023

Abstract
Fatigue is barrier of physical activity participation in adults with chronic conditions. However, physical activity alleviates fatigue symptoms. This systematic review and meta-analysis aimed to (1) synthesise evidence from randomised controlled trials (RCTs) exploring the effects of physical activity interventions on fatigue reduction and (2) evaluate their effectiveness. Medline/CINAHL/EMBASE/Web of Science and Scopus were searched up to June 24th, 2023. Two reviewers independently conducted study screening and selection (RCTs), extracted data and assessed risk of bias (RoB2). Outcome was the standardised mean difference (SMD) with 95% confidence intervals in fatigue between experimental and control groups. 38 articles met the inclusion criteria. Overall, physical activity interventions moderately reduced fatigue (SMD = 0.70 p < 0.0001). Interventions lasting 2–6 weeks and 16–24 weeks demonstrated the larger effects on fatigue reductions (SMD=0.86, p<0.00001; SMD=1.82, p=0.01, respectively). Interventions with 30-36 sessions showed a large effect on fatigue reduction (SMD = 0.94, p < 0.04). Resistance, aerobic cycling and combination training interventions had a large to moderate effect (SMD= 0.93, p 0.03; SMD = 0.66, p= 0.0005; SMD = 0.76, p = <0.00001, respectively). Small long-term effects were found during follow-up(SMD=0.38, p= 0.002). Notably, both short (2-6 weeks) and longer-term (16-24 weeks) interventions were effective in reducing fatigue. . Physical activity interventions moderately reduced fatigue among adults with chronic conditions. Duration, total sessions, and mode of physical activity were identified as key factors in intervention effectiveness. Further research is needed to explore the impact of physical activity interventions on fatigue.
A biological sequence comparison algorithm using quantum computers
Authors: Kösoglu-Kind Büsra , Loredo Robert , Grossi Michele , Bernecker Christian , Burks Jody M. , Buchkremer Rüdiger 
Published: September 2023

AbstractGenetic information is encoded as linear sequences of nucleotides, represented by letters ranging from thousands to billions. Differences between sequences are identified through comparative approaches like sequence analysis, where variations can occur at the individual nucleotide level or collectively due to various phenomena such as recombination or deletion. Detecting these sequence differences is vital for understanding biology and medicine, but the complexity and size of genomic data require substantial classical computing power. Inspired by human visual perception and pixel representation on quantum computers, we leverage these techniques to implement pairwise sequence analysis. Our method utilizes the Flexible Representation of Quantum Images (FRQI) framework, enabling comparisons at a fine granularity to single letters or amino acids within gene sequences. This novel approach enhances accuracy and resolution, surpassing traditional methods by capturing subtle genetic variations with precision. In summary, our approach offers algorithmic advantages, including reduced time complexity, improved space efficiency, and accurate sequence comparisons. The novelty lies in applying the FRQI algorithm to compare quantum images in genome sequencing, allowing for examination at the individual letter or amino acid level. This breakthrough holds promise for advancing biological data analysis and enables a more comprehensive understanding of genetic information.
Immunological characterization and diagnostic models of RNA N6-methyladenosine regulators in Alzheimer's disease
Authors: Hui Yuan , Ma Qi , Zhou Xue-Rui , Wang Huan , Dong Jian-Hua , Gao Li-Na , Zhang Tian , Li Yan-Yi , Gong Ting 
Published: September 2023

AbstractAlzheimer's disease (AD) is the most prevalent form of dementia, and it displays both clinical and molecular variability. RNA N6-methyladenosine (m6A) regulators are involved in a wide range of essential cellular processes. In this study, we aimed to identify molecular signatures associated with m6A in Alzheimer's disease and use those signatures to develop a predictive model. We examined the expression patterns of m6A regulators and immune features in Alzheimer’s disease using the GSE33000 dataset. We examined the immune cell infiltration and molecular groups based on m6A-related genes in 310 Alzheimer's disease samples. The WGCNA algorithm was utilized to determine differently expressed genes within each cluster. After evaluating the strengths and weaknesses of the random forest model, the support vector machine model, the generalized linear model, and eXtreme Gradient Boosting, the best machine model was selected. Methods such as nomograms, calibration curves, judgment curve analysis, and the use of independent data sets were used to verify the accuracy of the predictions made. Alzheimer's disease and non-disease Alzheimer's groups were compared to identify dysregulated m6A-related genes and activated immune responses. In Alzheimer's disease, two molecular clusters linked to m6A were identified. Immune infiltration analysis indicated substantial variation in protection between groups. Cluster 1 included processes like the Toll-like receptor signaling cascade, positive regulation of chromatin binding, and numerous malignancies; cluster 2 included processes like the cell cycle, mRNA transport, and ubiquitin-mediated proteolysis. With a lower residual and root mean square error and a larger area under the curve (AUC = 0.951), the Random forest machine model showed the greatest discriminative performance. The resulting random forest model was based on five genes, and it performed well (AUC = 0.894) on external validation datasets. Accuracy in predicting Alzheimer's disease subgroups was also shown by analyses of nomograms, calibration curves, and decision curves. In this research, we methodically outlined the tangled web of connections between m6A and AD and created a promising prediction model for gauging the correlation between m6A subtype risk and AD pathology.
Effect of dimethyl carbonate addition on ethanol–gasoline fuel blend
Authors: Amine Manal , Barakat Y. 
Published: September 2023

AbstractThe growing need for renewable and environmentally friendly sources of energy has motivated a lot of researchers to direct their efforts to meet these challenges. The use of renewable additives to gasoline, such as ethanol and methanol, has been a successful solution. However, blending ethanol into gasoline has some drawbacks, including increased gasoline volatility and significant changes in the distillation curve. This study investigated the effects of blending the eco-friendly dimethyl carbonate (DMC) with various concentrations into ethanol-gasoline fuel blend (E10) on some volatility parameters and octane number, which have not been previously reported in the literature. The fuel samples were formulated by mixing E10 with (0.0%, 2.0%, 4.0%, 6.0%, 8.0%, and 10.0%) of dimethyl carbonate. The main properties of the fuel samples were measured such as distillation curve, and octane number. The distillation process was carried out in accordance with ASTM-D86 while vapor pressure was measured in accordance with ASTM-D5191. The obtained results revealed interesting outcomes that may spark the interest of refineries in this promising fuel additive. Addition of DMC to gasoline-ethanol blend was found to have insignificant impact on the volatility of fuel. The results demonstrate that addition of ethanol to gasoline causes a significant decrease in T50 by about 20 °C, while addition of 10 volume percent of DMC to E10 causes an increase in T50 by about 2 °C. The obtained results showed also that the addition of 10 vol% of DMC to E10 fuel blend considerably increases the RON and MON by about 4 and 3.5 points, respectively.
Chemical/photochemical functionalization of polyethylene terephthalate fabric: effects on mechanical properties and bonding to nitrile rubber
Authors: Ghamarpoor Reza , Jamshidi Masoud , Sayyadian Mohammad , Razavizadeh Mahmoud 
Published: September 2023

AbstractThe aim of this work is to compare the effects of chemical and photochemical functionalization on the mechanical properties of PET fabric and its adhesion to nitrile rubber (NBR). The photochemical functionalization was performed by UV irradiation of PET fabric in the presence of glutaric acid peroxide at a temperature of 60 °C for different exposure times (i.e. 60, 90 and 120 min). The chemical functionalization (i.e. hydrolysis) of PET fabrics was performed by NaOH solution at a temperature of 60 °C for different times (i.e. 60, 120, 240 and 360 min). The tensile properties of the functionalized fibers were also evaluated. The functionalized PETs were evaluated for H-pull and T-peel adhesion to NBR. It was found that both treatment methods created functional groups on the PET surface. However, carboxylation of PET under GAP/UV irradiation generated much more OH groups on the PET surface (i.e. 4.5 times). The hydrolysis of PET in NaOH solution for more than 60 min caused a significant decrement in the tensile strength contrary to carboxylation under GAP/UV irradiation. It was also found that pullout and T-peel adhesions to NBR decreased in the case of hydrolysis of PET while they increased about 33 and 12% for GAP/UV irradiated PET, respectively.
Correlation of systolic and diastolic blood pressure with echocardiographic phenotypes of cardiac structure and function from three German population-based studies
Authors: Nikorowitsch Julius , Bei der Kellen Ramona , Haack Alena , Magnussen Christina , Prochaska Jürgen , Wild Philipp S. , Dörr Marcus , Twerenbold Raphael , Schnabel Renate B. , Kirchhof Paulus , Blankenberg Stefan , Markus Marcello Ricardo Paulista , Wenzel Jan-Per 
Published: September 2023

AbstractArterial hypertension is considered a risk factor for the development of heart failure. Here we investigate cross-sectional associations of systolic and diastolic blood pressure with subtle functional and morphological changes of left ventricular echocardiographic parameters representing early dysfunction in three representative German population-based studies. We assessed 26,719 individuals without symptomatic heart failure from the Hamburg City Health Study (HCHS, n = 7396, derivation cohort), the Gutenberg Health Study (GHS, 14,715, validation cohort) and the Study of Health in Pomerania (SHIP, 4608, validation cohort). Multivariable linear regression analyses with systolic and diastolic blood pressure as continuous exposure variables were adjusted for common cardiovascular risk factors and antihypertensive medication. Both systolic and diastolic blood pressure were consistently associated with measures of left ventricular hypertrophy (β per standard deviation (SD) for LV mass (g) and systolic blood pressure: 5.09 (p < 0.001); diastolic blood pressure: 2.29 (p < 0.001) in HCHS). Systolic blood pressure correlated with declining diastolic function (β per SD for E/e′: 0.29, p < 0.001 in HCHS) and diastolic blood pressure with declining systolic function (β per SD for LVEF, in %: − 0.15; p = 0.041 in HCHS) in all cohorts. Pending further validation, our results from three independent German population samples suggest differential effects of systolic versus diastolic blood pressure on left ventricular structure and function.
Biodegradable nano-reinforced packaging with improved functionality to extend the freshness and longevity of Plums Oemleria cerasiformis
Authors: Mann Manpreet Kaur , Sooch Balwinder Singh 
Published: September 2023

AbstractFood packaging reinforced with Zn-doped TiO2 nanoparticles with enhanced prerequisite film-forming and biodegradable traits was prepared to augment fresh food storage. Pure and tailored metal (Zinc, Copper, and Selenium) doped TiO2 nanoparticles were synthesized and analyzed through multiple characterization techniques (optical spectra, XRD patterns (X-Ray Diffraction), Dynamic Light Scattering, and Scanning Electron Microscopy). The synthesized nanoparticles were tested for their Minimum Inhibitory Concentrations, antimicrobial potential against common lethal food pathogens, and cytotoxicity. Compared to Cu- and Se-doped nanoparticles, Zn-doped TiO2 nanoparticles displayed the most potent antimicrobial activity with insignificant cytotoxicity and were incorporated into the food packaging materials. The developed nano-reinforced food packaging efficaciously augmented the freshness of plums (Oemleria cerasiformis) for 16 days (42 ± 2 °C). The physicomechanical characterization of the nano-reinforced packaging establishes its utility in food packaging applications. The developed biodegradable packaging undergoes complete decomposition within 12 days of storage in natural soil.
Influencing factors in the stagnation of the Baiu front that induced heavy rainfall in July 2020 over Kyushu, Japan
Authors: Moteki Qoosaku 
Published: September 2023

AbstractThe influencing factors of the long-term stagnation of the Baiu front that induced heavy rainfall in July 2020 over Kyushu, Japan, were examined. In July 2020, the position of the Baiu front from a weather chart at 130° E remained stationary over Kyushu for 20 days, and that was the longest from 2002 to 2021. By examining a certain index of the Yellow Sea High (YSH), which is a necessary condition for Baiu front stagnation near Kyushu, it was confirmed that in 2020, a positive high-pressure anomaly persisted over the Yellow Sea until the end of July. The YSH maintenance was due to the significant negative sea surface temperature (SST) anomaly over the Yellow Sea. The significant negative SST anomalies in the Yellow Sea were due to vertical mixing in ocean mixed layer in response to the strong winds of the extratropical cyclones. A rapid SST decrease ranging from 0.5 to 1.5 °C/day was repeatedly occurred by ocean mixed layer deepening in association with the passage of the extratropical cyclones. The anomalous long-term stagnation of YSH due to the negative SST anomalies could have caused the Baiu front to remain stagnant over Kyushu until the end of July.
Stability of the personal relationship networks in a longitudinal study of middle school students
Authors: Escribano Diego , Lapuente Francisco J. , Cuesta José A. , Dunbar Robin I. M. , Sánchez Angel 
Published: September 2023

AbstractThe personal network of relationships is structured in circles of friendships, that go from the most intense relationships to the least intense ones. While this is a well established result, little is known about the stability of those circles and their evolution in time. To shed light on this issue, we study the temporal evolution of friendships among teenagers during two consecutive academic years by means of a survey administered on five occasions. We show that the first two circles, best friends and friends, can be clearly observed in the survey but also that being in one or the other leads to more or less stable relationships. We find that being in the same class is one of the key drivers of friendship evolution. We also observe an almost constant degree of reciprocity in the relationships, around 60%, a percentage influenced both by being in the same class and by gender homophily. Not only do our results confirm the mounting evidence supporting the circle structure of human social networks, but they also show that these structures persist in time despite the turnover of individual relationships—a fact that may prove particularly useful for understanding the social environment in middle schools.
Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
Authors: Ganasen Nakkeeran , Krishnaraj L. , Onyelowe Kennedy C. , Alaneme George Uwadiegwu , Otu Obeten Nicholas 
Published: September 2023

AbstractIn this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate and cement was evaluated in making raw rice husk-concrete brick. This study optimizes compressive strength, water absorption, and dry density of concrete brick containing recycled aggregates via Response Surface Methodology. The optimized model's accuracy is validated through Artificial Neural Network and Multiple Linear Regression. The Artificial Neural Network model captured the 100 data's variability from RSM optimization as indicated by the high R threshold- (R > 0.9997), (R > 0.99993), (R > 0.99997). Multiple Linear Regression model captured the data's variability the decent R2 threshold confirming- (R2 > 0.9855), (R2 > 0.9768), (R2 > 0.9155). The raw rice husk-concrete brick 28-day compressive strength, water absorption, and density prediction were more accurate when using Response Surface Methodology and Artificial Neural Network compared to Multiple Linear Regression. Lower MAE and RMSE, coupled with higher R2 values, unequivocally indicate the model's superior performance. Additionally, employing sensitivity analysis, the influence of the six input parameters on outcomes was assessed. Machine learning aids efficient prediction of concrete's mechanical properties, conserving time, labor, and resources in civil engineering.
Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
Authors: Cui Sheng-Feng , Yang Hai-Long , Huang Xin , Wan Jing-Wei 
Published: September 2023

AbstractHerein, a novel Ag NP substrate doped with Au nanobipyramids was designed and fabricated via a convenient procedure of galvanic reaction for the identification and classification of amphetamine-type stimulants (ATS) in oral fluids in combination with surface enhanced Raman scattering (SERS). The substrate was shown to have a three-dimensional nanostructure, high SERS activity, and good stability. In combination with SERS, the Ag NP substrate doped with Au nanobipyramids was able to detect ultra-low traces of ATS, including amphetamine, methylamphetamine (MA), 3,4-methylenedioxyamphetamine (MDA), and 3,4-methylenedioxymethylamphetamine (MDMA) in oral fluid with limit of detection (LOD) and limit of determination quantitation (LOQ) as low as 10–9 mg/mL, which is much better than the current spectroscopic techniques. The equations between concentration and peaks intensity for quantitative analysis displied good doublelogarithmic linear relations and reliability figures of merit at nanogram concentration level in compartion with GC–MS method. The approach can be broadly applied to the ultra-low trace detection of ATS in oral fluid and would be particularly useful for the analyses of nitrogenous organic compounds.
HTLV infection in blood donors from Mato Grosso do Sul state: a closer look at HTLV screening in Brazilian blood banks
Authors: Amianti Carolina , Bandeira Larissa Melo , Romeiro Juliana Santos , Nakao Bibiana Rugolo Oliveira , Vavas Marli Terezinha Micharki , Domingos João Américo , de Oliveira Uehara Silvia Naomi , Motta-Castro Ana Rita Coimbra 
Published: September 2023

AbstractHuman T-lymphotropic virus (HTLV) infection has a worldwide distribution and currently, more than 2.5 million individuals have been infected in Brazil. The study aimed to investigate HTLV infection prevalence among blood donors in Mato Grosso do Sul, characterizing seroepidemiological profiles of HTLV-1/2 positive individuals and evaluating the blood bank's HTLV screening system. A cross-sectional survey was conducted among blood donors from Mato Grosso do Sul state (MS)—Central Brazil, between January to December 2021. The information was obtained from databases, samples from the collection of HEMOSUL, and active searching, with the completion of laboratory analyses. 35,278 blood donors were screened for anti-HTLV-1/2 by chemiluminescence immunoassay (CMIA). Among them, 78 were initially reactive for anti-HTLV-1/2 (2.21/1000). Out of 78, 67 returned to the blood center to collect a second sample for retesting with a second screening with CMIA. After confirmation, 8 samples were indeterminate, and 8 were confirmed as positive for HTLV antibodies. New tests were performed for the 8 positive samples, and 6 were confirmed as HTLV-1 infection (0.17/1,000), one as negative, and one as indeterminate. The present study describes the low prevalence of HTLV infection in blood donors from MS and contributes to the definition of the regional infection profile. The prevalence found in this study (0.017%–0.17/1000) shows to be a much lower value than the rates reported in other states in Brazil. We highlight the need for confirmatory testing for those seropositive donors in screening assays and the need for adequate counseling and patient management for those confirmed HTLV individuals.