bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Frequency of Breakfast Intake Before and During Pregnancy and Developmental Delays in children: The Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study
Authors: Aizawa Misato , Murakami Keiko , Takahashi Ippei , Ohseto Hisashi , Noda Aoi , Shinoda Genki , Orui Masatsugu , Ishikuro Mami , Obara Taku , Hamada Hirotaka , Iwama Noriyuki , Saito Masatoshi , Sugawara Junichi , Kuriyama Shinichi 
Published: July 2023

Abstract
Background Although an association between maternal nutritional intake and developmental delays in children has been demonstrated, the association between the timing of food intake and developmental delays remains unclear. Herein, we examined the association between breakfast intake frequency before and during pregnancy and developmental delay in children.Methods Of the pregnant women who participated in the Tohoku Medical Megabank Project Three-Generation Cohort Study, 7786 answered the required questions and were analyzed. The frequency of breakfast intake from pre- to early pregnancy and from early to mid-pregnancy was classified into four groups: daily, and 5–6, 3–4, and 0–2 times/week. Child developmental delays at age 2 and 3.5 years were assessed using the Ages & Stages Questionnaire, Third Edition. Logistic regression models were constructed to examine the association between breakfast intake frequency in pregnant women and developmental delays in children aged 2 and 3.5 years.Results The proportion of pregnant women who had breakfast daily was 78.2% in pre- to early pregnancy, and 82.3% in early to mid-pregnancy. The proportion of children with developmental delays was 14.7% and 13.4% at age 2 and 3.5 years, respectively. Compared with the risk in children of women who had breakfast daily from pre- to early pregnancy, children of women who had breakfast 0–2 times/week had a higher risk of developmental delays at 2 years of age: odds ratio (OR) 1.33, (95% confidence interval [CI], 1.06–1.68). The risk of developmental delays at age 2 years increased in the children of women who had breakfast 0–2 times/week in early to mid- pregnancy: OR 1.79 (95% CI, 1.36–2.36). Compared with children of women who had breakfast daily from pre- to early and early to mid-pregnancy, children of women who had breakfast 0–2 times/week were not associated with developmental delays at age 3.5 years: OR 1.11 (95% CI, 0.86–1.44 and OR 1.19 (95% CI 0.87–1.62), respectively.Conclusion For women with a low frequency of breakfast intake from pre- to mid-pregnancy there was an association with developmental delays in their children at age 2, but not at 3.5 years.
Prognostic significance of post-preoperative tumor markers increments in patients with non-metastatic gastric cancer
Authors: Zhu Xiao-Dong , Zhang Li-Xiang , Luo Pan-Quan , Zhu Hai , Wei Zhi-Jian , Xu A-Man 
Published: July 2023

Abstract
Purpose: Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are the most common tumor markers detected before and after gastric cancer (GC) surgery. However, the impact of post-preoperative CEA/CA19-9 increments on prognosis of GC remains unclear. In addition, there is no research incorporating post-preoperative CEA/CA19-9 increments into the prognostic model.
Methods: Patients who underwent radical gastrectomy for GC at the First Affiliated Hospital of Anhui Medical University and Anhui Provincial Hospital from January 2013 to December 2017 were enrolled and divided into the discovery and validation cohort. Prognostic value of post-preoperative CEA/CA19-9 increments and preoperative CEA/CA199 levels were assessed by Kaplan-Meier log-rank analysis and compared by time-dependent receiver operating characteristic (t-ROC) curves. Multivariate Cox regression analysis was applied to establish the nomogram. The performance of the prognostic model was validated by the concordance index (C-index), calibration curve, and ROC curve analysis.
Results: A total of 562 GC patients were included in this study. Overall survival (OS) rates decreased with an increasing number of incremental tumor markers after surgery. The t-ROC curves implied that the prognostic ability of the number of incremental post-preoperative tumor markers was superior to that the number of positive preoperative tumor markers. Cox regression analysis suggested that the number of incremental post-preoperative tumor markers was an independent prognostic factor. The nomogram which incorporated with the post-preoperative CEA/CA19-9 increments showed reliable accuracy.
Conclusions: Incremental post-preoperative CEA/CA19-9 were indicator of poor prognosis of GC. The prognostic value of post-preoperative CEA/CA19-9 increments exceed that of preoperative CEA/CA19-9 levels.
Effect of superovulatory dose of FSH on follicular development, atresia, and endocrine changes during superovulation protocol in Sahiwal Zebu Cows
Authors: Chandra Pradeep , Kumar Brijesh , Singh Sushobhit K. , Kohli Kalpendra , . Bhagirathi , . Vandana , Patra M. K. , Chouhan V. S. , Khan M. H. , Das G. K. , Kumar Harendra , Dutt Triveni , Singh S.K. 
Published: July 2023

Abstract
Background
In the recent past, the antral follicle count (AFC), of an ovary, has been indicated as an important phenotypic characteristic related to female fertility and closely correlated to the performance of in vivo and in vitro embryo production. However, most of the follicles undergo degeneration at the early antral stage rather than the preantral and preovulatory stages. FSH has been considered a follicle survival factor. Therefore, the present study aimed to find the effect of superovulatory dose of FSH on follicular development, atresia rate, endocrine changes, and super ovulatory estrus characteristics in Sahiwal cows.
Methods
A total of 24 Sahiwal cows were divided into two groups. Simulated and non-stimulated groups. In the stimulated group, Sahiwal donors (n = 12) were superstimulated using pFSH during the mid-luteal phase and the same number of cyclic Sahiwal cows (n = 12) were monitored through trans-rectal ultrasonography for comparative follicular-endocrine changes in the stimulated and non-stimulated group.
Results
At the initiation of FSH administration (10th day), on the day of prostaglandin (PG) injection (12th day), and at super ovulatory estrus (SOE/14th day) significantly greater number of small, medium, and large follicles were recorded, respectively. However, similar changes were not found on the respective days of the oestrus cycle in non-stimulated cows. The number of surface follicles undergoing atresia was significantly higher (P < 0.01) in the non-stimulated than in the stimulated group. On the day of SOE, the greater number of preovulatory follicles (POF) was positively correlated with the number of small follicles in the ovary at the initiation of superovulatory (SO) treatment and ovarian dimension at SOE.
Conclusions
The administration of pFSH increased the total number of the large follicle population by preventing the atresia of the small follicle and propelling the cohort of the follicle in a continuous growth phase thereby the significantly higher number of POF recorded on the day of SOE and contributing to increased peripheral E2 concentration. Thus, the majority of SO animals exhibited high estrus intensity for a prolonged period than normal cycling Sahiwal cows.
Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer
Authors: Zang Longjun , Zhang Baoming , Zhou Yanling , Zhang Fusheng , Tian Xiaodong , Tian Zhongming , Chen Dongjie , Miao Qingwang 
Published: July 2023

Abstract
Background: Pancreatic cancer (PC) is a digestive malignancy with worse overall survival and we aimed to detect the TIME-related classifier to facilitate the personalized treatment of PC.
Methods: Unsupervised consensus clustering and multiple machine-learning algorithms were implemented to construct the immune-related signature (IRS). scRNA-seq analysis was conducted to explore the regulatory mechanism of IRS on TIME in PC. Finally, pharmacogenomic databases were enrolled to treat high IRS patients.
Results: We classified patients into Immune_rich and Immune_desert subgroups. Next, the IRS model was established based on 8 IRGs (SYT12, TNNT1, TRIM46, SMPD3, ANLN, AFF3, CXCL9 and RP1L1) and validated its predictive efficiency in multiple cohorts. RT-qPCR experiments demonstrated the differential expression of 8 IRGs between tumor and normal cell lines. Patients who gained lower IRS score tended to be more sensitive to chemotherapy and immunotherapy, and obtained better overall survival compared to those with higher IRS score. Moreover, scRNA-seq analysis revealed that fibroblast and ductal cells might affect malignant tumor cells via MIF-(CD74+CD44) and SPP1-CD44 axis. Eventually, we identified eight therapeutic targets and one agent for IRS high patients.
Conclusion: Our study screened out the specific regulation pattern of TIME in PC, and shed light on the precise treatment of PC.
Thermochromic wool fabric was prepared via grafting thiol-modified thermochromic microcapsule
Authors: xue tong , Yin yunjie 
Published: July 2023

Abstract
Thermochromic microcapsules have excellent reversible discoloration and encapsulation properties and have been widely used in the development of color-changing smart textiles. However, there are few reports on the graft modification of microcapsules to form covalent bonds with fabrics. In this study, mercapto-modified thermochromic microcapsules are successfully introduced into wool fabric utilizing cleavage and reconstruction of disulfide bonds in wool fibers. DSC results showed that the phase transition temperature of the microcapsules was 48.98℃., and the wool fabric treated with thiol-modified thermochromic microcapsules has excellent color fastness. When the amount of 3-Mercaptopropyltriethoxysilane accounted for 10% of Tetraethyl orthosilicate, The color-changing polar fleece fabric is grade 3 in fade resistance, grade 5 in fade resistance, grade 3 in wet rub resistance, and grade 4 in dry rub resistance. The microcapsules-treated wool fabric has good reversible thermochromic properties. Even after 30 times of heating and cooling experiments, the K/S value of thermochromic woolen fabric remains unchanged.
Identification of epigenetically regulated genes involved in plant-virus interaction and their role in virus-triggered induced resistance
Authors: Corrêa Régis L. , Kutnjak Denis , Ambrós Silvia , Bustos Mónica , Elena Santiago F. 
Published: July 2023

Abstract
Background
Plant responses to a wide range of stresses are known to be regulated by epigenetic mechanisms. Pathogen-related investigations, particularly against RNA viruses, are however scarce. It has been demonstrated that Arabidopsis thaliana plants defective in some members of the RNA-directed DNA methylation (RdDM) or histone modification pathways presented differential susceptibility to the turnip mosaic virus. In order to identify genes directly targeted by the RdDM-related RNA Polymerase V (POLV) complex and the histone demethylase protein JUMONJI14 (JMJ14) during infection, the transcriptomes of infected mutant and control plants were obtained and integrated with available chromatin occupancy data for various epigenetic proteins and marks.
Results
A comprehensive list of virus-responsive gene candidates to be regulated by the two proteins was obtained. Twelve genes were selected for further characterization, confirming their dynamic regulation during the course of infection. Several epigenetic marks on their promoter sequences were found using in silico data, raising confidence that the identified genes are actually regulated by epigenetic mechanisms. The altered expression of six of these genes in mutants of the methyltransferase gene CURLY LEAF and the histone deacetylase gene HISTONE DEACETYLASE 19 suggests that some virus-responsive genes may be regulated by multiple coordinated epigenetic complexes. A temporally separated multiple plant virus infection experiment in which plants were transiently infected with one virus and then infected by a second one was designed to investigate the possible roles of the identified POLV- and JMJ14-regulated genes in wild-type (WT) plants. Plants that had previously been stimulated with viruses were found to be more resistant to subsequent virus challenge than control plants. Several POLV- and JMJ14-regulated genes were found to be regulated in virus induced resistance in WT plants, with some of them poisoned to be expressed in early infection stages.
Conclusions
A set of confident candidate genes directly regulated by the POLV and JMJ14 proteins during virus infection was identified, with indications that some of them may be regulated by multiple epigenetic modules. A subset of these genes may also play a role in the tolerance of WT plants to repeated, intermittent virus infections.
Analgesic Efficacy of Collagen Peptide in Knee Osteoarthritis: A Meta-Analysis of Randomized Controlled Trials
Authors: Lin Chun-Ru , Tsai Sung Huang Laurent , Huang Ko-Yen , Tsai Po-An , Chou Hsuan , Chang Shu-Hao 
Published: July 2023

Abstract
Background:
The management of knee osteoarthritis involves various treatment strategies. It is important to explore alternative therapies that are both safe and effective. Collagen peptides have emerged as a potential intervention for knee osteoarthritis. This study aims to evaluate the analgesic effects and safety of collagen peptide in patients diagnosed with knee osteoarthritis.
Methods:
We conducted a systematic literature search following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Multiple databases including PubMed, Scopus, EMBASE, Web of Science, Cochrane, and ClinicalTrials.gov were searched for randomized controlled trials (RCTs) published up to 27 May, 2023 that focused on the analgesic outcomes and adverse events associated with collagen peptides or hydrolyzed collagen in patients with osteoarthritis. We assessed the quality of the included studies and the strength of evidence using the Cochrane ROB 2.0 tool and Grading of Recommendations, Assessment, Development, and Evaluations.
Results:
Four trials involving 507 patients with knee osteoarthritis were included and analyzed using the random-effects model. All of these trials were considered to have a high risk of bias. Our results revealed a significant difference in pain relief between the collagen peptide group and the placebo group in patients with knee osteoarthritis (standardized mean difference of the mean difference: -0.63; 95% CI: -0.86, -0.39, p < 0.00001; I2: 52%; quality of evidence: moderate). However, there was no significant difference in the risk of adverse events between collagen peptide and placebo (odds ratio: 1.66; 95% CI: 0.99, 2.78, p = 0.05; I2: 0%; quality of evidence: very low).
Conclusions:
Our findings demonstrate significant pain relief in patients with knee osteoarthritis who received collagen peptides compared to those who received placebo. In addition, the risk of adverse events did not differ significantly between the collagen peptide group and the placebo group. However, due to potential biases and limitations, well-designed randomized controlled trials are needed to validate and confirm these findings.
ORGRU: Online Robust Gated Recurrent Units for Real-Time Background Subtraction in Video Sequences
Authors: Sedghi Arezoo , Amoozegar Maryam , Rashedi Esmat , Afsari Fatemeh 
Published: July 2023

Abstract

Background subtraction is a crucial task in computer vision that involves segmenting video frames into foreground and background regions. While deep learning techniques have shown promise in this field, existing approaches typically rely on supervised learning and have limited generalization capabilities for unseen video data. Moreover, many of these methods are not suitable for real-time applications due to their offline or partially online nature. This paper introduces ORGRU, an unsupervised, online, and robust deep learning-based framework for background subtraction. ORGRU utilizes a robust version of Gated Recurrent Units (GRUs) to simultaneously estimate and maintain the background model as the low-rank component while calculating the sparse section as the foreground in a fully online manner. The model is iteratively updated in real time with an unsupervised learning algorithm utilizing only the current frame. To evaluate the effectiveness of the proposed approach, we conduct experiments on the LASIESTA dataset, which is a comprehensive, fully-labeled dataset for change detection covering various background subtraction challenges. The experimental results provide both qualitative and quantitative assessments, demonstrating the robustness and superiority of the proposed approach compared to the state-of-the-art methods.
Feature Selection via ACO
Authors: Eroglu Duygu Yilmaz , Akcan Umut 
Published: July 2023

Abstract

Developing information technologies bring about a huge amount of data which is growing exponentially each day. That large and multidimensional data increases computational costs and makes it difficult to extract meaningful information from the data. Feature selection aims to reduce the multidimensionality of the data while keeping information loss at a minimum level. Different approaches have been proposed for feature selection which may be classified as filter, wrapper, embedded, and hybrid methods. A novel hybrid Feature Selection approach via Ant Colony Optimization Algorithm (FSvACO) is proposed in this paper. The performance of the proposed algorithm is verified by comparing the alternative feature subset selection algorithms in the literature. Additional studies demonstrated that developed FSvACO can eliminate the irrelevant features for most datasets selected from a varied number of features, multi-classes, and a diverse number of instances.
Controversies regarding Lithium-associated weight gain: Case-control study of real-world drug safety data
Authors: Greil Waldemar , Bardeci Mateo , Müller-Oerlinghausen Bruno , Nievergelt Nadja , Stassen Hans , Hasler Gregor , Erfurth Andreas , Cattapan Katja , Rüther Eckart , Seifert Johanna , Toto Sermin , Bleich Stefan , Schoretsanitis Georgios 
Published: July 2023

Abstract
Background The impact of long-term lithium treatment on weight gain has been a controversial topic with conflicting evidence. We aim to assess reporting of weight gain associated with lithium and other mood stabilizers compared to lamotrigine which is considered free of metabolic adverse drug reactions (ADRs).Methods We conducted a case/non-case pharmacovigilance study using data from the AMSP project (German: "Arzneimittelsicherheit in der Psychiatrie"; i.e., Drug Safety in Psychiatry), which collects data on ADRs from patients treated in psychiatric hospitals in Germany, Austria, and Switzerland. We performed a disproportionality analysis of reports of weight gain (> 10% of baseline body weight) calculating reporting odds ratio (ROR). We compared aripiprazole, carbamazepine, lithium, olanzapine, quetiapine, risperidone, and valproate to lamotrigine. Additional analyses related to different mood stabilizers as reference medication were performed. We also assessed sex and age distributions of weight-gain reports.Results We identified a total of 527 cases of severe drug-induced weight gain representing 7.4% of all severe ADRs. The ROR for lithium was 2.1 (95%CI: 0.9–5.1, p > 0.05), which did not reach statistical significance. Statistically significant disproportionate reporting of weight gain was reported for olanzapine (ROR: 11.5, 95%CI: 4.7–28.3, p < 0.001), quetiapine (ROR: 3.4, 95%CI: 1.3–8.4, p < 0.01), and valproate (ROR: 2.4, 95%CI: 1.1-5.0, p = 0.03) compared to lamotrigine. Severe weight gain was more prevalent in non-elderly (< 65 years) than in elderly patients, with an ROR of 7.6 (p < 0.01) in those treated with lithium, and an ROR of 14.7 (p < 0.01) in those not treated with lithium.Conclusions Our findings suggest that lithium is associated with more reports of severe weight gain than lamotrigine, although this difference did not reach statistical significance. However, lithium use led to fewer reports of severe weight gain than some alternative drugs for long-term medication (olanzapine, quetiapine, and valproate), which is consistent with recent studies. Monitoring of weight gain and metabolic parameters remains essential with lithium and its alternatives.
Coordinate Determination of Domestic SLR Stations Based on Long Arc Orbit Determination Method Using Laser Ranging Data from Lageos1/2 Satellites
Authors: Zhou Chongchong , Wang Junao , Zhong Shiming , Peng Bibo , Zhang Jie , Guo Zhao 
Published: July 2023

Abstract
Satellite Laser Ranging (SLR) technology is one of the main technologies in the field of space geodesy, it has played an extremely important role in laser ranging data application and research. As a commonly used geodynamic satellites, the main contribution of Lageos1/2 is the solution of orbit determination and station coordinates. At present, there are 7 analysis centers of the International Laser Ranging Service (ILRS) to release the precise orbit products for Lageos1/2 satellites. However, there is currently no relevant research on the analysis of the consistency of these orbits. So, the authors would evaluate the accuracies of them, and the results show that the orbital accuracies of Lageos1/2 satellites are 3 ~ 5 cm. SLR is regarded as one of the important input data of the International Terrestrial Reference Frame (ITRF), the analysis center of ILRS provides weekly solutions of station coordinates for ITRF. But, due to the limitation of SLR observation conditions, for example observations can only be made almost exclusively at night and cannot be observed in rainy days, the orbit solution of the seven-day arc may have the problem of less data. Therefore, this paper proposed a method for calculating the station coordinates based on long arc orbit determination, and we adopted the method to solve the station coordinates of five SLR stations in China. The results show that the obtained orbital precision is basically superior to 3.70 cm, and the differences between station coordinates solved by us and the coordinates published by ITRF2014 are basically smaller than 0.013 m, which is consistent with research results domestic and overseas.
Assessment, analysis and optimization for high temperature sliding wear process parameter with additive built nickel-base superalloy
Authors: S.P Jani , C Saravanamurthi , P Pugalenthi , Arul Sujin Jose 
Published: July 2023

Abstract
The nickel-base superalloy is developed through an additive manufacturing process following a metal laser sintering technique. The developed alloy is used to perform high-temperature sliding wear analysis with the different input process conditions. Applied load, sliding duration and the working temperature are the defined process environment for the investigation. The process conditions are designed with twenty-seven sets of experimental trials for statistical analysis and process assessment. The responses on surface roughness and the material loss with respect to the input process parameters are technically assessed and justifications are made with the electron microscopic images. The surface topography has been influenced due to applied load and the sliding duration. The statistical analysis has proved that the influence of temperature is less and negotiable compared to the load and time factors. From the optimization process, the optimal parameter for the experimental design is 10 N, 100 ºC and 30 min is the ultimate condition to produce the best results from the high temperature sliding wear analysis.