bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feticide Before Termination of Pregnancy in Singleton Pregnancy – Trends in England and Wales 2012-2020, a cross-sectional study
Authors: Schiff Isabelle , Shangaris Panicos , Grinsted Mary , Sankaran Srividhya 
Published: February 2023

Abstract
Aim
Feticide is the practice of inducing fetal demise before termination of pregnancy. In England and Wales, it is recommended for terminations of pregnancy beyond 21 + 6 weeks of gestation. This project analyses the trends in feticide in singleton pregnancy in England and Wales between 2012 and 2020.
Methods
This project was a retrospective study that analysed data extracted from the Health and Social Act 4 (HSA4) forms submitted to the Department of Health and Social Care (DHSC). The data extracted by the DHSC included the prevalence of feticide, methods of feticide and termination, statutory grounds, gestation, service provider, maternal age, ethnicity, and obstetric history. In addition, data analysis was carried out to identify trends.
Results
Between 2012 and 2020, there were 9310 feticides in England and Wales, used in 0.5% of all abortions. The prevalence of feticide fluctuated however, there was an overall decrease from 1084 cases in 2012 to 1000 cases in 2020. The most common method was intracardiac injection of potassium chloride (67.2%). Most feticides were performed before medical abortions (58.0%). 55.8% of feticides took place under Ground E of the Abortion Act 1967, and the main indication was congenital malformations of the nervous system. Most feticides occurred at 23 weeks gestation (40.2%) and in NHS hospitals (60.3%). Women undergoing feticide were mostly aged 30–34 years (38.3%) and of White ethnicity (78.6%).
Conclusion
Feticide is an essential component of comprehensive abortion care for women undergoing late second and third-trimester abortions. This study provides insight into how feticide is carried out in England and Wales and demonstrates the effect of the Covid-19 pandemic on feticide prevalence. Future research should analyse in more detail the use of the different methods of feticide.
Analysis of Tetrabromobisphenol A and Bisphenol A in Plant Sample-Method Optimization and Identification of the Derivatives
Authors: Xu Xuehui , Han Wei 
Published: February 2023

Abstract

Tetrabromobisphenol A (TBBPA) is the most abundant brominated flame retardant and bisphenol A (BPA) is often identified as the metabolism of TBBPA. Both of them are highly bioconcentrated and show serious biological toxicity. In this study, an analytical method was optimized to simultaneously determine TBBPA and BPA in plant samples. Moreover, the uptake and metabolism of TBBPA in maize was investigated through hydroponic exposure experiment. The whole analysis procedure included ultrasonic extraction, lipid removal, purification by solid phase extraction cartridge, derivatization and detection by GC/MS. Optimizations were conducted for each pretreatment step above. After improvement, methyl tert-butyl ether (MTBE) was chosen as the extraction solvent, the lipid removal was conducted by repartition between organic solvent and alkaline solution. The best suitable pH condition is 2-2.5 for the inorganic solvent before used for further purification by HLB and silica column with the optimized elute solvent of acetone and mixtures of acetone and hexane (1:1), respectively. The recoveries of TBBPA and BPA spiked in maize samples were 69.26% and 66.47% with the relative standard deviation less than 5.26%, respectively, for the entire treatment procedure. Limits of detections were 4.10 ng/g and 0.13 ng/g for TBBPA and BPA in plant samples, respectively. In the hydroponic exposure experiment (100 µg/L, 15 d), the concentration of TBBPA in maize cultivated in pH 5.8 and pH 7.0 Hoagland solutions were 1.45 and 0.89 µg/g in roots, 8.45 and 6.34 ng/g in stems, while they were all below the detection limit for leaves, respectively. The distribution of TBBPA in different tissues was as the following order: root > > stem > leaf, illustrating the accumulated in the root and the translocation to stem. The uptake variations under different pH conditions were attributed to the change of TBBPA species, now that it shows greater hydrophobicity at lower pH condition as a kind of ionic organic contaminant. Monobromobisphenol A and dibromobisphenol A were identified as metabolisms products of TBBPA in maize. The efficiency and simplicity of the method that we proposed characterize its potential application as a screening tool for environmental monitoring and contribute to a comprehensive study of the environmental behavior of TBBPA.
Adiabatic propagation of beams in nonlocal nonlinear media with gradual loss and gain
Authors: Zheng Yuxin , Liang Guo , Guo Qi , Che Jiarui 
Published: February 2023

Abstract
We investigate the evolution of optical beam in the nonlocal nonlinear media with loss and gain using the variational approach and the numerical simulation. When the loss gradually changes to the gain, the optical beams can restore to their initial states, the phenomenon we called the "adiabatic propagation". We have proved that, as long as the changing rate of the loss and gain is small enough, the gain can exactly compensate the loss and the adiabatic propagation can occur for any beams with any profiles. However, the optical beams will shed a part of its energy as dispersive waves if they are lumped amplification like the cases of optical pulses in fibers. The numerical simulations agree well with the variational results.
Selection of electronically deficient products as very good antifungal condidates
Authors: Mihoubi Wafa , Elleuch Haitham , Boudabbous Manel , Ketata Emna , Borgi Ines , Rezgui Farhat , Gargouri Ali 
Published: February 2023

Abstract

In previous work, a new class of synthesized bioactive compounds of Morita-Baylis-Hillman adducts (MBH) showed an antioxidant and anti melanogensis activity [17–23]. Accordingly, in the present work the relationship between antifungal activity and the responsible chemical function of MBH adducts and their derivatives (alcohols, acetates, phosphonates and hydrazono phosphonates) was investigated against plant pathogenic fungi Aspergillus niger, Fusarium oxysporum, Penicillium occitanis, Trichoderma reesei, Stachybotrys microspora, Fusarium solani, Trichoderma parceramosum, fusarium aethiopicum, Alternaria alternata and Aspergillus flavus using the agar diffusion method. Results showed acetates displayed varying degrees of antifungal activity against several fungi tested, while just one alcohol compound showed lower activity. The derivative with five carbon (2g) was the most powerful with an inhibitor growth zone diameter of 4.75 ÷ 0.21, 6.1 ± 0.14, 4.35 ± 0.21, 3.9 ± 0.14, 4.54 ± 0.11, 3.55 ± 0.07, 3 ± 0, 3.2 ± 0.2, 5.36 ± 0.26 and 5.06 ± 0.5cm against; F. oxysporum, T. parceramosum, S. microspora, T. reesei, F. solani, P. occitanis, A. niger, F. aethiopicum, A. alternate and A. flavus respectively. Compared to the positive control the nystatin, most of the tested compounds exhibited moderate to strong inhibitory effects. The antifungal activity depended on the radical group. The novelty is that these adducts are evaluated for the first time for their antifungal effect. Antifungal activity is in general of linear or cyclic molecules coupled to six carbons. Here we show that the simple acetate six membered carbons are the most efficient molecule
Dialing out: A study on overcoming loneliness through call and touch
Authors: Gray Nicholas L.T. , Roberts S. Craig 
Published: February 2023

Abstract
As a social species, humans deprived of contact find loneliness a distressing and difficult condition. Recent research emphasises the influence of touch on alleviating loneliness. This research found touch reduces feelings of neglect, a subscale of loneliness. Affectionate touch, which demonstrates care or affection has been previously linked to wellbeing in couples. Here, we investigated whether the effect of simulated touch during a video conversation might be sufficient to influence feelings of loneliness. Sixty participants answered a survey about their home life and relationships, including items that assessed frequency of touch and feelings of loneliness. Following this, they participated in an online video call with three conditions: audio only, audio and video, or audio, video with ‘touch’ (a virtual ‘high-five’). Finally, immediately after the call, they completed a further brief survey including another measure of loneliness. We found that loneliness scores were reduced following the call, but there was no difference among conditions and no effect of a virtual touch However, we did find a significant association between the frequency of touch in a relationship and expression of loneliness, with individuals in low touch relationships having loneliness scores more comparable to single participants than to those in high touch relationships. Additionally, extraversion played a major role in moderating the effect of touch in relationships. These results emphasize the importance of physical contact in lowering feelings of loneliness within relationships, as well as the ability of calls to lower feelings of loneliness, regardless of whether they include video or ‘virtual touch’.
Platelets from patients with myeloproliferative neoplasms have increased numbers of mitochondria that are hypersensitive to depolarization by thrombin
Authors: Liang Hai Po Helena , Iqra Zeenet , Whittaker Shane , Tan Chuen Wen , Dale Brian J , Chen Vivien M , Ross David M 
Published: February 2023

Abstract
Thrombosis is one of the cardinal manifestations of myeloproliferative neoplasms (MPN). The mechanisms leading to a prothrombotic state in MPN are complex and remain poorly understood. Platelet mitochondria play a role in platelet activation, but their number and function have not been extensively explored in MPN to date. We observed an increased number of mitochondria in platelets from MPN patients compared with healthy donors. MPN patients had an increased proportion of dysfunctional platelet mitochondria. The fraction of platelets with depolarized mitochondria at rest was increased in essential thrombocythemia (ET) patients and the mitochondria were hypersensitive to depolarization following thrombin agonist stimulation. Live microscopy showed a stochastic process in which a higher proportion of individual ET platelets underwent mitochondrial depolarization and after a shorter agonist exposure compared to healthy donors. Depolarization was immediately followed by ballooning of the platelet membrane, which is a feature of procoagulant platelets. We also noted that the mitochondria of MPN patients were on average located nearer the platelet surface and we observed extrusion of mitochondria from the platelet surface as microparticles. These data implicate platelet mitochondria in a number of prothrombotic phenomena. Further studies are warranted to assess whether these findings correlate with clinical thrombotic events.
Optimization of aero-engine combustion chambers with the assistance of Hierarchical-Kriging surrogate model based on POD downscaling method
Authors: Tong Shuhong , Ma Yue , Guo Mingming , Tian Ye , Song Wenyan , Wang Heng , Le Jialing , Zhang Hua 
Published: February 2023

Abstract
In view of the long calculation cycle, high processing test and cost of the traditional aero-engine combustion chamber design process, which restricts the engine optimization design cycle, this paper innovatively proposes a surrogate model for the performance of aero-engine combustion chamber based on the POD-Hierarchical-Kriging method. Through experiments, the predicted results of the POD-Hierarchical-Kriging model are compared and analyzed with the calculated results of the one-dimensional program, and the root mean square error of the predicted values of combustion efficiency and total pressure loss are 0.0064% and 0.1995%, respectively. The accuracy of the POD-Hierarchical-Kriging model is compared with the cubic polynomials model, the basic Kriging model and the Hierarchical-Kriging model. It verifies the feasibility and accuracy of the POD-Hierarchical-Kriging model for the prediction of performance of aero-engine combustion chambers. The global sensitivity analysis method is applied to obtain the influence effect of the design variables on the performance. Then, a multi-objective optimization method based on NSGA-II algorithm is studied, and finally the optimal set of Pareto solutions is obtained and analyzed, which can be used to guide the optimal design of aero-engine combustion chamber and accelerate the progress of aero-engine development.
Metabolomics signatures of depression: the role of symptom profiles
Authors: milaneschi yuri , de Kluiver Hilde , Jansen Rick , Penninx Brenda , Giltay Erik , Schoevers Robert 
Published: February 2023

Abstract
Depression shows a metabolomic signature overlapping with that of cardiometabolic conditions. Whether this signature is linked to specific depression profiles remains undetermined. Previous research suggested that metabolic alterations cluster more consistently with depressive symptoms of the atypical spectrum related to energy alterations, such as hyperphagia, weight gain, hypersomnia, fatigue and leaden paralysis. We characterized the metabolomic signature of an “atypical/energy-related” symptom (AES) profile and evaluated its specificity and consistency. Fifty-one metabolites measured using the Nightingale platform in 2 876 participants from the Netherlands Study of Depression and Anxiety were analyzed. An ‘AES profile’ score was based on five items of the Inventory of Depressive Symptomatology (IDS) questionnaire. The AES profile was significantly associated with 31 metabolites including higher glycoprotein acetyls (b=0.13, p=1.35*10-12), isoleucine (b=0.13, p=1.45*10-10), very-low-density lipoproteins cholesterol (b=0.11, p=6.19*10-9) and saturated fatty acid levels (b=0.09, p=3.68*10-10), and lower high-density lipoproteins cholesterol (b=-0.07, p=1.14*10-4). The metabolites were not significantly associated with a summary score of all other IDS items not included in the AES profile. Twenty-five AES-metabolites associations were confirmed in replication analyses in data of 2 015 subjects collected at 6-year follow-up. We identified a specific metabolomic signature – commonly linked to cardiometabolic disorders – associated with a depression profile characterized by atypical, energy-related symptoms. The specific clustering of a metabolomic signature with a clinical profile may identify a more homogenous subgroup of depressed patients at higher cardiometabolic risk, and represent a valuable target for interventions aiming at reducing depression’s detrimental impact on health.
Subjective cognitive impairment in patients with cancer: A network approach
Authors: Baník Gabriel , Piterová Ivana , Adamkovič Matúš , Fedáková Denisa , Kentoš Michal , Bozogáňová Miroslava , Havrillová Dominika , Dědová Mária 
Published: February 2023

Abstract
Purpose:Cognitive impairment is a commonly reported side or late effect of cancer treatment deteriorating patients’ quality of life. As such, it is essential to look at patients’ self-evaluation in addition to objective assessments. The goals of the current study were to (1) examine the sociodemographic, clinical and psychological factors related to subjective cognitive impairment (SCI) perception; (2) analyze the complex mutual interconnections between SCIs; and (3) address patients’ perspectives on SCI and supportive care.
Method:A heterogeneous sample of oncological patients (N = 566; 68.6% female; M = 54, SD = 14.2, the most prevalent being breast cancer - 31.1%) was recruited.
Eighteen items covering the senses, attention, memory, spatial functions, decision-making and speech were administered. The response scale was constructed to reflect the chemotherapy-induced cognitive impairment (CICI) and post-traumatic growth (PTG) theories. A network of subjectively perceived changes in cognitive functions was estimated while three open-ended questions addressed patients’ perspectives on SCI.
Results:Within the network, deficits in spatial perception, attention focus and problem-solving ability were the highest on the strength index while the deficits related to the senses were the least influential. From the moderating factors, finishing chemotherapy, cancer relapse, pain, PTSD and sadness caused invariance in the network’s global strength or structure.
Conclusion:The findings indicate that psychological-based interventions focused on higher cognitive functions could improve patients’ quality of life. The presence of supportive care and available information could strengthen SCI intervention and prevention for patients with cancer.
Parameter Optimization of Plant-based Decellularized Scaffold for Biomedical Applications Using Response Surface Methodology
Authors: Mutra Jagadeesh Kumar Reddy , Jujjavarapu Satya Eswari , Patel Pushpendra , R Naga Giridhar Sree 
Published: February 2023

Abstract
The banana leaf scaffold is used for response surface optimization because it is a plant-based scaffold; we have various scaffolds to perform this experiment. In this experiment, CCD-RSM has been used as an experimental design to increase the concentration of detergent (SDS), the concentration of CaCl2, the size of the banana leaf, rpm, and no. of days. Twenty-one experimental runs were performed, and porosity and swelling ratios were optimized. The optimum conditions for this process were 0.25, 0.05% w/v SDS, and CaCl2 (50mM, 150mM, 250mM), RPM (120,180,240), size of banana leaf (0.5,2.5cm), and period were used as optimizing parameters and later on, we calculated the optimizing characters like porosity and swelling ratio of the scaffolds thus formed. With the help of all this, we optimized the swelling ratio and porosity. Finally, by using the design expert, we could derive various tables and graphs, like contour and 3D, to better understand the results.
Research on supply and demand matching model of transportation modes in MaaS system of integrated passenger transport hub based on deep learning
Authors: Liang Yun , Lan Chen , Dan Tu , Qiaoqiong Zeng , Yue Yang , Lin Chen 
Published: February 2023

Abstract
Advances in artificial intelligence and data acquisition technology are growing, the research on deep learning algorithm has gone deep into various fields. At this stage, the demand supply matching model under the comprehensive passenger transport hub travel system is obtained by analyzing the travel mode data. This paper takes traffic time as the research direction,uses machine learning and complex network theory to conduct in-depth learning algorithm research, respectively discusses, explores and forecasts the traffic supply and demand mode data, and explores the traffic mode supply and demand model under the comprehensive passenger transport hub travel service system. It is shown in traffic data that using the prediction form of deep learning to predict traffic conditions and travel pressure can enable traffic managers to master traffic dynamics and lead the direction for future traffic development. Finally, from the perspective of MaaS system, the paper uses big data and information processing methods to explore the supply and demand matching model in terms of transportation modes. The research shows that MaaS system can make overall planning in terms of traffic resources, provide reasonable travel modes for traffic travelers and match corresponding travel services. It not only makes overall planning and guarantee for travel services, but also promotes the sustainable development of the transportation supply and demand system.
Application of GIS Image System and Remote Sensing Technology in Physical Geography Land Planning
Authors: Xie Yun , Wang Zhiying , Fan Yi , Huang Jin , Xie Binggeng 
Published: February 2023

Abstract
Physical geography is the foundation of urban social and economic development. The quantity and quality of land resources and their distribution directly affect the economic, social, environmental and comprehensive benefits of the city. Now, in our country, low land use efficiency and irrational land structure in physical geography are both prominent phenomena. One of the main reasons is the lack of scientific and reasonable physical geography land use structure and utilization efficiency plan. Using remote sensing and geographic information system technology, this paper conducts a comprehensive and systematic survey of urban land use changes, and obtains land use classification maps for two periods, supports further research, and correctly guides people to develop and utilize natural resources and protect the ecological environment. Provide powerful reference materials for realizing sustainable land use and sustainable social and economic development. Based on the Landsat5TM image data in October 2018 and September 2020, this article is based on the land use remote sensing classification system of the Chinese Academy of Sciences "Chinese Resources and Environment Database" to classify the land use types in the survey area. In addition, this article will also introduce multi-source remote sensing image data fusion technology, including fusion information representation, fusion principle, fusion system framework model, fusion algorithm, control and application. By combining ETM remote sensing data with large-scale topographic maps, using non-remote sensing data and remote sensing data to investigate the status quo of land use and urban environment in physical geography, GIS is used as a supporting tool to construct a spatial database of urban environment, which promotes the development of research.
Bdnf-Nrf-2 crosstalk and emotional behavior are disrupted in a sex-dependent fashion in adolescent mice exposed to maternal stress or maternal obesity
Authors: Cirulli Francesca , Musillo Chiara , Kreutzberg Kerstin , Collacchi Barbara , Ajmone-Cat Maria Antonietta , De Simone Roberta , Lepre Marcello , Amrein Irmgard , Riva Marco , Berry Alessandra 
Published: February 2023

Abstract
Maternal obesity affects the developing fetal brain, leading to long-term negative outcomes comparable to those resulting from maternal psychological stress, although the mechanisms have not been completely elucidated. In this study we tested the hypothesis that prenatal adverse conditions as diverse as maternal stress and maternal obesity might affect emotional regulation and stress response in the offspring through common pathways, with a main focus on oxidative stress and neuroplasticity. We contrasted and compared adolescent male and female offspring in two mouse models of maternal psychophysical stress (restraint during pregnancy - PNS) and maternal obesity (high-fat diet before and during gestation - mHFD) by combining behavioral assays, evaluation of the hypothalamic-pituitary-adrenal (HPA) axis reactivity and gene expression analysis of selected neuroinflammatory and plasticity-related markers in the hippocampus as a key region involved in stress appraisal. Prenatal administration of the antioxidant N-acetyl-cysteine (NAC) was used as a strategy to protect fetal neurodevelopment from the negative effects of PNS and mHFD. Our findings show that these two stressors produce comparable effects, reducing brain anti-oxidant defenses (Nrf-2), leading to sex-dependent impairments of hippocampal Bdnf expression and alterations of the emotional behavior and HPA axis functionality. Prenatal NAC administration, by restoring the redox balance, was able to exert long-term protective effects on brain development, suggesting that the modulation of redox pathways might be an effective strategy to target common shared mechanisms between different adverse prenatal conditions.