bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mood State in Patients with Post-traumatic Stress Disorder due to Lung Cancer: A Clinical Application Study of Intensive Cognitive Management
Authors: Zhang Kai , Zhang Rongze 
Published: October 2024

Background: Post-traumatic stress disorder (PTSD) due to lung cancer seriously affects the mood state of patients. Intensive cognitive management is a structured management method based on cognitive behavioral therapy, which can correct cognitive distortions and regulate adverse emotions. This study mainly explored the effect of intensive cognitive management on the mood state of patients with PTSD due to lung cancer.
Methods: A retrospective analysis was conducted on the clinical data of 169 patients with PTSD due to lung cancer admitted to our hospital from June 2020 to June 2021. Based on different clinical management schemes, these patients were divided into the reference group (RG, n = 87, routine management) and the study group (SG, n = 82, routine management+intensive cognitive management). The sleep status and degree of depression and anxiety were evaluated using the Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale (SAS), Depression Scale (D), and Post-traumatic Stress Disorder Check List (PCL).
Results: After 2 weeks (T1) and 4 weeks (T2) of nursing, the scores on the PSQI (p < 0.001), SAS (T0–T1: p < 0.001; T0–T2: p < 0.001) and D (T0–T1: p = 0.026, p < 0.001; T0–T2: p < 0.001), as well as three PCL factors (p < 0.001) of the two groups were significantly lower than those before nursing (T0). At the T1 and T2 stages, difference scores for the PSQI (difference score 1: p = 0.003; difference score 2: p = 0.006), SAS (difference score 1: p = 0.002; difference score 2: p = 0.007), and D (difference score 1: p < 0.001; difference score 2: p = 0.002) were higher in the SG compared with the RG. At the T1 stage, the difference score of the PCL high-alert factor (p = 0.008) was higher in the SG compared with the RG, with no significant difference in difference scores of other two factors (p > 0.05). At the T2 stage, the SG had higher difference scores for the three PCL factors compared with the RG (p < 0.001, p = 0.011, p < 0.001).
Conclusion: Intensive cognitive management can effectively improve sleep quality and adverse emotions and has potential for clinical management of PTSD in patients with lung cancer.
Prevalence and Associated Factors of Depressive Symptoms among Older Adults in the Philippines
Authors: Pengpid Supa , Peltzer Karl 
Published: October 2024

Background: Depressive symptoms may increase with age, potentially influenced by sociodemographic characteristics, stressors and support, health status, and health behaviour. It is unclear if this is the case among older adults in the Philippines. Therefore, the aim of this study is to estimate the prevalence and associated factors of depressive symptoms among older adults in the Philippines.
Methods: In all, 5209 items of cross-sectional nationally representative data from older adults (≥60 years) participating in the 2018 Longitudinal Study on Ageing and Health in the Philippines (LSAHP) were analysed. Depressive symptoms were assessed using the 11-item 3-response category Center for Epidemiological Studies Depression (CES-D) Scale.
Results: The overall prevalence of depressive symptoms was 32.1%, with 25.6% among older men and 36.5% among older women. In the final adjusted models, overall, widowed (Adjusted Odds Ratio (AOR): 1.52, 95% Confidence Interval (CI): 1.00 to 2.30), hunger (AOR: 2.22, 95% CI: 1.40 to 3.51), living alone (AOR: 1.61, 95% CI: 1.00 to 2.59), not satisfied with present life (AOR: 2.04, 95% CI: 1.09 to 3.81), body pain (AOR: 2.39, 95% CI: 1.73 to 3.31), and insomnia (AOR: 1.69, 95% CI: 1.24 to 2.31) were positively associated, while working (AOR: 0.55, 95% CI: 0.37 to 0.80) was negatively associated with depressive symptoms. In addition, among men, older age (80 years and above) (AOR: 1.95, 95% CI: 1.06 to 3.58), unmet healthcare needs (AOR: 2.19, 95% CI: 1.07 to 4.47), and hearing difficulty (AOR: 2.41, 95% CI: 1.06 to 5.52) were positively associated poor childhood health (AOR: 0.12, 95% CI: 0.04 to 0.36), while social network (AOR: 0.94, 95% CI: 0.90 to 0.99) was negatively associated. Among women, loss of bladder control (AOR: 1.69, 95% CI: 1.03 to 2.77) was positively associated with depressive symptoms.
Conclusion: One in three older adults participating in this study exhibited depressive symptoms. Sociodemographic factors, stressors, and health status factors were positively associated, and support factors were negatively associated with depressive symptoms.
Quality of Life and Anxiety Status of Patients with Ovarian Tumor Undergoing Enhanced Recovery after Surgery
Authors: Ru Xiaonan , Yuan Xiaoli , Zhang Yawei , Zhang Yuan , Shu Lisha , He Ying , Zhang Liping 
Published: October 2024

Background: This study aimed to explore the quality of life and anxiety status of patients with ovarian tumor undergoing enhanced recovery after surgery (ERAS).
Methods: This article retrospectively analyzed the clinical data of 300 patients with ovarian tumor admitted in the First Affiliated Hospital of Hebei North University. The patients were divided into two groups according to the perioperative management methods. A total of 156 patients who received traditional perioperative management were included in the control group, and the ERAS group included 144 patients who received traditional perioperative management combined with ERAS management. Quality of life questionnaire-C30 (QLQ-C30) and self-rating anxiety scale (SAS) were used to compare the postoperative quality of life and anxiety status.
Results: The ERAS group showed significantly shorter first feeding time (p < 0.001), exhaust time (p < 0.001) and defecation time (p = 0.002), infusion time (p = 0.026), and hospitalization time (p < 0.001) than the control group. Inter-group comparison showed no significant difference in QLQ-C30 scores in terms of physical (p = 0.345), role (p = 0.509), emotional (p = 0.235), cognitive (p = 0.462), and social functions (p = 0.645) before surgery. The scores of physical, role, emotional, cognitive, and social functions in the ERAS group were significantly higher than the control group after surgery (p < 0.001). There was no significant difference in preoperative anxiety scores between the two groups (p = 0.056). The postoperative anxiety score of the ERAS group was significantly lower than that of the control group (p = 0.002).
Conclusions: ERAS could alleviate the postoperative negative emotions such as anxiety, promote the physical and mental health and improve the quality of life of patients with ovarian tumor.
Memory-type Mean Estimators for Surveys with Non-response: A Regression-imputation and Ewma Approach
Authors: Yahya Yusuf Ajibola , Audu Ahmed , Dauran N.S , Abdullaahi Sanusi 
Published: October 2024

Sampling survey mostly faces the challenge of missing information or non-response, Missing data naturally occurs in sample surveys when a few sampling units refuse to respond or are unable to participate in the survey. In time based survey, this could happen due to relocation or system malfunctioning after some period. This missing information can bring about a substantial amount of bias, make the handling and analysis of the data more arduous and create reductions in efficiency of the estimator. Surmounting this challenge bring about the development of various imputation-based mean estimation methods. Some of these, ratio-type regression estimators have been devised to compute population parameters using only current sample data. However, recent researches has changed this approach by integrating both past and current sample information through the application of exponentially weighted moving averages (EWMA). This new invented methodology has given rise to the creation of memory-type estimators tailored for surveys conducted over time. In this paper, we present regression- imputation and EWMA based memory-type mean estimators in the presence of non- response. For the performance assessment between existing and proposed estimators, two real-life time-scaled data sets are considered. In the first data set proposed estimators (Tp1 and Tp2) have the minimum MSE and higher PRE and also in the second data set, results show that the proposed estimators (estimators (Tp1 and Tp2) have the minimum MSE and higher PRE when compared with the existing estimators at all levels of smoothing parameter. Therefore the proposed estimator will perform better in estimating the EWMA-based mean in the presence non response for time based survey and longitudinal survey. Most especially in quality control data that are collected over time. The current work is limited to simple random sampling which assumes homogeneity of the population units. Further work can be done on stratify random sampling which assumes heterogeneity of the population units.
NOAH: NMR Supersequences for Small Molecule Analysis and Structure Elucidation
Authors: Kupče Ēriks , Claridge Tim D. W. 
Published: June 2017

AbstractNested NMR experiments combining up to five conventional NMR pulse sequences into one supersequence are introduced. The core 2D NMR techniques routinely employed in small molecule NMR spectroscopy, such as HSQC, HMQC, HMBC, COSY, NOESY, TOCSY, and similar, can be recorded in a single measurement. In this way the data collection time may be dramatically reduced and sample throughput increased for basic NMR applications, such as structure elucidation and verification in synthetic, medicinal, and natural product chemistry.
Effect of interfacial enhancing on morphology, mechanical, and rheological properties of polypropylene‐ground tire rubber powder blends
Authors: Lu Yonglai , Yang Ying , Xiao Peng , Feng Yuxing , Liu Li , Tian Ming , Li Xiaolin , Zhang Liqun 
Published: June 2017

ABSTRACTIn this work, polypropylene (PP)‐ground tire rubber (GTR) blends are prepared by means of melt‐extrusion process using a co‐rotating twin screw extruder. The influences of types of compatibilizers and crosslinkers on the interfacial interaction state, mechanical and rheological properties of PP‐GTR blends are investigated systematically. Particularly, quantitative nano mechanic technique of atom force microscope was employed to examine the change in thickness of the interfacial transition layer between PP and GTR phase with variety of compatibilizer and crosslinker types. Results indicated that styrene‐b‐poly(ethylene‐ethylene/propylene)‐b‐polystyrene (SEEPS) and peroxide are optimal compatibilizer and crosslinker for interfacial interaction enhancement, respectively. The resultant PP‐GTR blend possesses tensile strength of 14.5 MPa, elongation at break of 307%, and permanent set of 16%. It was expected that reaction activities of the crosslinker with GTR and SEEPS would have a significant influence on the agglomeration of GTR particles and the interaction between PP and GTR phase. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 45354.
Metabolomics revealed the toxicity of cationic liposomes in HepG2 cells using UHPLC‐Q‐TOF/MS and multivariate data analysis
Authors: Yu Jing , Zhang Hai , Li Ying , Sun Sen , Gao Jie , Zhong Yanqiang , Sun Duxin , Zhang Guoqing 
Published: June 2017

AbstractCationic liposomes (CLs) are novel nonviral vectors widely used for delivering drugs or genes. However, applications of CLs are largely hampered by their cytotoxicity, partly because the potential mechanism underlying the cytotoxicity of CLs remains unclear. The aim of the present study was to explore the underlying mechanism of cytotoxicity induced by CLs on HepG2 cells. Differential metabolites were identified and quantified using ultra‐liquid chromatography quadrupole time‐of‐flight mass spectrometry (UHPLC‐Q‐TOF/MS). The toxicity of CLs on HepG2 cells was evaluated by multivariate data analysis and statistics. Additionally, CCK‐8 assay, heatmap, pathway and co‐expression network were carried out to explore the relations between the metabolites and the pathways. The results showed a dose‐dependent toxic effect of CLs on HepG2 cells, with an IC50 value of 119.9 μg/mL. Multivariate statistical analysis identified 42 potential metabolites between CLs exposure and control groups. Pathway analysis showed significant changes in pathways involving amino acid metabolism, energy metabolism, lipid metabolism and oxidative stress in the CLs exposure group vs the control group. Metabolites related to the above‐mentioned pathways included phenylalanine, methionine, creatine, oxalacetic acid, glutathione, oxidized glutathione, choline phosphate and several unsaturated fatty acids, indicating that cells were disturbed in amino acid metabolism, energy and lipid supply when CLs exposure‐induced injury occurred. It is concluded that CLs may induce cytotoxicity by enhancing reactive oxygen species in vitro, affect the normal process of energy metabolism, disturb several vital signaling pathways and finally induce cell death.
Anticipation of digital patterns
Authors: Ochs Karlheinz , Ziegler Martin , Hernandez‐Guevara Eloy , Solan Enver , Ignatov Marina , Hansen Mirko , Gill Mahal Singh , Kohlstedt Hermann 
Published: June 2017

SummaryA memristive device is a novel passive device, which is essentially a resistor with memory. This device can be used for novel technical applications like neuromorphic computation. In this paper, we focus on anticipation—a capability of a system to decide how to react in an environment by predicting future states. Especially, we have designed an elementary memristive circuit for the anticipation of digital patterns, where this circuit is based on the capability of an amoeba to anticipate periodically occurring unipolar pulses. The resulting circuit has been verified by digital simulations and has been realized in hardware as well. For the practical realization, we have used an Ag‐doped TiO2−x‐based memristive device, which has been fabricated in planar capacitor structures on a silicon wafer. The functionality of the circuit is shown by simulations and measurements. Finally, the anticipation of information is demonstrated by using images, where the robustness of this anticipatory circuit against noise and faulty intermediate information is visualized.
Growing new generations of critical zone scientists
Authors: Wymore Adam S. , West Nicole R. , Maher Kate , Sullivan Pamela L. , Harpold Adrian , Karwan Diana , Marshall Jill A. , Perdrial Julia , Rempe Daniella M. , Ma Lin 
Published: June 2017

AbstractCritical zone (CZ) science is entering its second decade. A new generation of scientists is emerging trained specifically in CZ science and are contributing to advances in environmental science across disciplines. Concurrently, the global scope of CZ science is being elevated as new countries invest in CZ observatories. Global CZ science has great potential to address a diverse array of questions beyond any single discipline. In this commentary we discuss a series of CZ science grand challenges that should be targeted by early‐career researchers: understanding water availability in the CZ; expanding CZ science into new environments; communicating the societal relevance of CZ science including earthcasting to the public; seamlessly integrating biological sciences within the CZ framework; and scaling CZ processes over large spatial and temporal gradients. Targeting these grand challenges will push CZ science well into the future. We also highlight mechanisms for increased leadership within the CZ community. Copyright © 2017 John Wiley & Sons, Ltd.
Two sides to every story: Children learn words better from one storybook page at a time
Authors: Flack Zoe M. , Horst Jessica S. 
Published: June 2017

AbstractTwo experiments tested how the number of illustrations in storybooks influences 3.5‐year‐old children's word learning from shared reading. In Experiment 1, children encountered stories with two regular‐sized A4 illustrations, one regular‐sized A4 illustration, or one large‐sized A3 illustration (in the control group) per spread. Children learned significantly fewer words when they had to find the referent within two illustrations presented at the same time. In Experiment 2, a gesture was added to guide children's attention to the correct page in the 2‐illustration condition. Children who saw two illustrations with a guiding gesture learned words as well as children who had seen only one illustration per spread. Results are discussed in terms of the cognitive load of word learning from storybooks.Highlights

This study demonstrates that the number of illustrations in storybooks influences rate of word learning.
Children who see only 1 illustration at a time learn more words from storybooks. Children who see 2 illustrations at a time do not learn words from storybooks. When a supporting gesture is added, children can learn words in the presence of 2 illustrations.
Extraneous information hinders word learning from storybooks.
Effect of astaxanthin and aluminum chloride on erythrocyte G6PD and 6PGD enzyme activities in vivo and on erythrocyte G6PD in vitro in rats
Authors: Temel Yusuf , Bengü Aydın Şükrü , Akkoyun Hurrem Turan , Akkoyun Mahire , Ciftci Mehmet 
Published: June 2017

AbstractIn this study, we investigated the effect of astaxanthin (Ast) and aluminum (Al) on the erythrocyte glucose‐6‐phosphate dehydrogenase (G6PD) and 6‐phosphogluconate dehydrogenase (6PGD) enzymes activities in vivo and on G6PD enzyme in vitro in rats. For in vitro studies, G6PD enzyme was purified from rat erythrocyte by using 2′,5′‐ADP‐Sepharose 4B affinity gel. The effects of Ast and Al3+ ion were investigated on the purified enzyme. It was determined that Ast increased the enzyme activity, whereas Al3+ inhibited the enzyme activity noncompetitively (IC50 values; 0.679 mM, Ki values 1.32 mM). For in vivo studies, the rats were divided into the groups: control (Cont.), Al, Ast, and Al + Ast. The last three groups were compared with the control group. In Al group, a significant degree of inhibition was observed in the activity of G6PD and 6PGD enzymes when compared with the control group (P < 0.05), whereas there was an increase in the activities of G6PD and 6PGD enzymes in Ast and Al + Ast groups (P < 0.05).
Acquisition of PN sequences using multilayer perceptron neural network adaptive processor for multiuser detection in spread‐spectrum communication systems
Authors: Benkrinah Sabra , Benslama Malek 
Published: June 2017

AbstractA non‐coherent serial acquisition scheme for direct sequence spread spectrum communication systems is analyzed and discussed in this paper. The adaptive thresholding based on constant false alarm rate and multilayer perceptron neural network (MLP‐NN) techniques are combined to improve the performance of code division multiple access systems. One of the most important problems in code acquisition of pseudo‐noise sequences for multiuser detection is the presence of interferences caused by the multiple access technique and multipath replicas. To solve this problem, an MLP‐NN is trained and adapted to work as a constant false alarm rate detector using the error back propagation gradient descendent algorithm. It is named MLP‐NN adaptive processor. The performance of this proposed algorithm is presented using the serial search acquisition system, which is chosen because of its simple hardware implementation. The performance of the MLP‐NN adaptive processor algorithm in homogeneous and non‐homogenous environments for additive white Gaussian noise and Rayleigh fading channels is evaluated via computer simulations. The obtained results are compared to other serial acquisition schemes using the cell‐averaging adaptive processor, the order statistics adaptive processor, and the automatic censoring adaptive processor algorithms.
Physiological, molecular and ultrastructural analyses during ripening and over‐ripening of banana (Musa spp., AAA group, Cavendish sub‐group) fruit suggest characteristics of programmed cell death
Authors: Ramírez‐Sánchez Maricruz , Huber Donald J , Vallejos C Eduardo , Kelley Karen 
Published: June 2017

AbstractBACKGROUNDProgrammed cell death (PCD) is a part of plant development that has been studied for petal senescence and vegetative tissue but has not been thoroughly investigated for fleshy fruits. The purpose of this research was to examine ripening and over‐ripening in banana fruit to determine if there were processes in common to previously described PCD.RESULTSLoss of cellular integrity (over 40%) and development of senescence related dark spot (SRDS) occurred after day 8 in banana peel. Nuclease and protease activity in the peel increased during ripening starting from day 2, and decreased during over‐ripening. The highest activity was for proteases and nucleases with apparent molecular weights of 86 kDa and 27 kDa, respectively. Images of SRDS showed shrinkage of the upper layers of cells, visually suggesting cell death. Decrease of electron dense areas was evident in TEM micrographs of nuclei.CONCLUSIONThis study shows for the first time that ripening and over‐ripening of banana peel share physiological and molecular processes previously described in plant PCD. SRDS could represent a morphotype of PCD that characterizes a structural and biochemical failure in the upper layers of the peel, thereafter spreading to lower and adjacent layers of cells. © 2017 Society of Chemical Industry
Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms
Authors: Gonzalez Viejo Claudia , Fuentes Sigfredo , Torrico Damir , Howell Kate , Dunshea Frank R 
Published: June 2017

AbstractBACKGROUNDBeer quality is mainly defined by its colour, foamability and foam stability, which are influenced by the chemical composition of the product such as proteins, carbohydrates, pH and alcohol. Traditional methods to assess specific chemical compounds are usually time‐consuming and costly. This study used rapid methods to evaluate 15 foam and colour‐related parameters using a robotic pourer (RoboBEER) and chemical fingerprinting using near infrared spectroscopy (NIR) from six replicates of 21 beers from three types of fermentation. Results from NIR were used to create partial least squares regression (PLS) and artificial neural networks (ANN) models to predict four chemometrics such as pH, alcohol, Brix and maximum volume of foam.RESULTSThe ANN method was able to create more accurate models (R2 = 0.95) compared to PLS. Principal components analysis using RoboBEER parameters and NIR overtones related to protein explained 67% of total data variability. Additionally, a sub‐space discriminant model using the absorbance values from NIR wavelengths resulted in the successful classification of 85% of beers according to fermentation type.CONCLUSIONThe method proposed showed to be a rapid system based on NIR spectroscopy and RoboBEER outputs of foamability that can be used to infer the quality, production method and chemical parameters of beer with minimal laboratory equipment. © 2017 Society of Chemical Industry