bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of composition and thermal history on deformation behavior and cluster connections in model bulk metallic glasses
Authors: Neuber Nico , Sadeghilaridjani Maryam , Ghodki Nandita , Gross Oliver , Adam Bastian , Ruschel Lucas , Frey Maximilian , Muskeri Saideep , Blankenburg Malte , Gallino Isabella , Busch Ralf , Mukherjee Sundeep 
Published: October 2022

AbstractThe compositional dependence and influence of relaxation state on the deformation behavior of a Pt–Pd-based bulk metallic glasses model system was investigated, where platinum is systematically replaced by topologically equivalent palladium atoms. The hardness and modulus increased with rising Pd content as well as by annealing below the glass transition temperature. Decreasing strain-rate sensitivity and increasing serration length are observed in nano indentation with increase in Pd content as well as thermal relaxation. Micro-pillar compression for alloys with different Pt/Pd ratios validated the greater tendency for shear localization and brittle behavior of the Pd-rich alloys. Based on total scattering experiments with synchrotron X-ray radiation, a correlation between the increase in stiffer 3-atom cluster connections and reduction in strain-rate sensitivity, as a measure of ductility, with Pd content and thermal history is suggested.
Nonlinear dielectric spectroscopy biosensor for SARS-CoV-2 detection
Authors: Talebipour Ali , Ghannad Amir Hosein , Sharifi Elham , Pirzadeh Morteza , Hasanzadeh Moghadam Hamed , Saviz Mehrdad , Badieirostami Majid , Karimi Reikandeh Parham , Mobasheri Hamid , Faraji-Dana Reza 
Published: October 2022

AbstractThe coronavirus disease caused by the SARS-CoV-2 virus has affected people worldwide for more than two years. Here we present a new diagnostic method based on nonlinear dielectric spectroscopy to detect the presence of the SARS-CoV-2 virus in swab samples. A known current is injected into the virus sample suspension, and the biomarker is the third harmonic detected in the power spectrum of the recorded signal. Computational modeling of harmonic production supports the hypothesis of ion channels (the E-protein) with nonlinear current–voltage characteristics being present on the virus envelope as a possible origin of harmonics. The developed system is able to distinguish between positive and negative samples with 5–10 dBc (decibels relative to the carrier) higher third harmonic ratios in positive samples, in agreement with the computational estimation. Our early results demonstrate that this method can detect the virus in solution. This is the first time harmonic signatures are used to detect SARS-CoV-2 in swab samples.
Network analysis to identify symptoms clusters and temporal interconnections in oncology patients
Authors: Kalantari Elaheh , Kouchaki Samaneh , Miaskowski Christine , Kober Kord , Barnaghi Payam 
Published: October 2022

AbstractOncology patients experience numerous co-occurring symptoms during their treatment. The identification of sentinel/core symptoms is a vital prerequisite for therapeutic interventions. In this study, using Network Analysis, we investigated the inter-relationships among 38 common symptoms over time (i.e., a total of six time points over two cycles of chemotherapy) in 987 oncology patients with four different types of cancer (i.e., breast, gastrointestinal, gynaecological, and lung). In addition, we evaluated the associations between and among symptoms and symptoms clusters and examined the strength of these interactions over time. Eight unique symptom clusters were identified within the networks. Findings from this research suggest that changes occur in the relationships and interconnections between and among co-occurring symptoms and symptoms clusters that depend on the time point in the chemotherapy cycle and the type of cancer. The evaluation of the centrality measures provides new insights into the relative importance of individual symptoms within various networks that can be considered as potential targets for symptom management interventions.
Generation and characterization of human U-2 OS cell lines with the CRISPR/Cas9-edited protoporphyrinogen oxidase IX gene
Authors: Novakova Zora , Milosevic Mirko , Kutil Zsofia , Ondrakova Marketa , Havlinova Barbora , Kasparek Petr , Sandoval-Acuña Cristian , Korandova Zuzana , Truksa Jaroslav , Vrbacky Marek , Rohlena Jakub , Barinka Cyril 
Published: October 2022

AbstractIn humans, disruptions in the heme biosynthetic pathway are associated with various types of porphyrias, including variegate porphyria that results from the decreased activity of protoporphyrinogen oxidase IX (PPO; E.C.1.3.3.4), the enzyme catalyzing the penultimate step of the heme biosynthesis. Here we report the generation and characterization of human cell lines, in which PPO was inactivated using the CRISPR/Cas9 system. The PPO knock-out (PPO-KO) cell lines are viable with the normal proliferation rate and show massive accumulation of protoporphyrinogen IX, the PPO substrate. Observed low heme levels trigger a decrease in the amount of functional heme containing respiratory complexes III and IV and overall reduced oxygen consumption rates. Untargeted proteomics further revealed dysregulation of 22 cellular proteins, including strong upregulation of 5-aminolevulinic acid synthase, the major regulatory protein of the heme biosynthesis, as well as additional ten targets with unknown association to heme metabolism. Importantly, knock-in of PPO into PPO-KO cells rescued their wild-type phenotype, confirming the specificity of our model. Overall, our model system exploiting a non-erythroid human U-2 OS cell line reveals physiological consequences of the PPO ablation at the cellular level and can serve as a tool to study various aspects of dysregulated heme metabolism associated with variegate porphyria.
Design, synthesis and computational study of new benzofuran hybrids as dual PI3K/VEGFR2 inhibitors targeting cancer
Authors: El-Khouly Omar A. , Henen Morkos A. , El-Sayed Magda A.-A. , El-Messery Shahenda M. 
Published: October 2022

AbstractDesign and synthesis of a new series of benzofuran derivatives has been performed. 1H-NMR, 13C-NMR, elemental analysis, and IR were used to confirm the structures of the produced compounds. Hepatocellular carcinoma (HePG2), mammary gland breast cancer (MCF-7), epithelioid carcinoma cervical cancer (Hela), and human prostate cancer are used to test anticancer activity (PC3). In compared to DOX (4.17–8.87 µM), Compound 8 demonstrated the highest activity against HePG and PC3 cell lines, with an IC50 range of 11–17 µM. Compound 8 inhibited PI3K and VEGFR-2 with IC50 values of 2.21 and 68 nM, respectively, compared to 6.18 nM for compound LY294002 and 31.2 nM for compound sorafenib as PI3K and VEGFR-2 reference inhibitors, selectively. The molecular docking and binding affinity of the generated compounds were estimated and studied computationally utilizing molecular operating environment software as a PI3K and VEGFR-2 inhibitor (MOE). In conclusion, compound 8 exhibited significant action against hepatocellular and cervical cancer cell lines. Mechanistic study showed that it had a dual inhibitory effect against PI3K and VEGFR-2.
Effect of empagliflozin versus linagliptin on body composition in Asian patients with type 2 diabetes treated with premixed insulin
Authors: Zeng Yi-Hong , Liu Sung-Chen , Lee Chun-Chuan , Sun Fang-Ju , Liu Jason J. 
Published: October 2022

AbstractInsulin therapy often increases body weight and leads to visceral fat accumulation. Progression in diabetes is also associated with accelerated loss of muscle mass. Little is known about body composition changes in type 2 diabetes mellitus (T2DM) patients on insulin therapy who use sodium–glucose cotransporter-2 (SGLT2) inhibitors versus dipeptidyl peptidase-4 (DPP4) inhibitors. This study examined the effect of 25 mg of empagliflozin compared with 5 mg of linagliptin for 24 weeks on body weight and body composition in patients with T2DM on premixed insulin. Body composition was assessed with bioelectrical impedance analysis. The mean difference between the linagliptin and empagliflozin groups in terms of mean body weight change from baseline to 24 weeks was − 1.80 kg (95% CI − 2.57, − 1.03). Empagliflozin also significantly reduced muscle mass (− 1.39 kg, 95% CI − 2.49, − 0.29) and total body water (− 1.07 kg, 95% CI − 1.88, − 0.27) compared with linagliptin. Compared to linagliptin, empagliflozin decreased body fat mass more from baseline to week 24, but this was not significant (− 0.31 kg, 95% CI − 1.51, 0.90). Further research on insulin-treated T2DM patients is necessary to investigate the long-term effects of SGLT2 and DPP4 inhibitors on body composition, as well as their effects on muscle strength and physical function.Trial registration: ClinicalTrials.gov no. NCT03458715, registration date: March 8, 2018.
Effect of maternal sleep on embryonic development
Authors: Vietheer Alexander , Kiserud Torvid , Haaland Øystein Ariansen , Lie Rolv Terje , Kessler Jörg 
Published: October 2022

AbstractThe concept of developmental origin of health and disease has ignited a search for mechanisms and health factors influencing normal intrauterine development. Sleep is a basic health factor with substantial individual variation, but its implication for early prenatal development remains unclear. During the embryonic period, the yolk sac is involved in embryonic nutrition, growth, hematopoiesis, and likely in fetal programming. Maternal body measures seem to influence its size in human female embryos. In this prospective, longitudinal observational study of 190 healthy women recruited before natural conception, we assessed the effect of prepregnant sleep duration (actigraphy) on the fetal crown-rump-length (CRL) and yolk sac size (ultrasound). All women gave birth to a live child. The prepregnancy daily sleep duration had an effect on the male yolk sac and CRL at the earliest measurement only (7 weeks). I.e., the yolk sac diameter decreased with increasing sleep duration (0.22 mm·h−1d−1, 95%CI [0.35-0.09], P < 0.01), and CRL decreased (0.92 mm·h−1d−1, 95%CI [1.77-0.08], P = 0.03). Since there was no association at the second measurement (10 weeks), and in the group of female fetuses at any measure point, we suggest a sex- and time-dependent embryonic adaptation to sleep generated differences in the intrauterine environment in normal pregnancies.
Sex difference in innate inflammatory response and macrophage polarization in Streptococcus agalactiae-induced pneumonia and potential role of microRNA-223-3p
Authors: Deny Maud , Arroba Nuñez Luis Alexis , Romano Marta , Denis Olivier , Casimir Georges , Chamekh Mustapha 
Published: October 2022

AbstractWhile number of studies have shown that biological sex is a risk factor in the incidence and severity of infection-induced inflammatory diseases, the underlying mechanisms are still poorly understood. In this study, we compared the innate inflammatory response in male and female mice with group B streptococcal (GBS)-induced pneumoniae. Although male and female mice displayed similar bacterial burdens, males exhibited more innate inflammatory cytokines and chemokines and a higher proportion of infiltrating monocytes/macrophages. The analysis of the distribution of macrophage subtypes M1 (pro-inflammatory) versus M2 (anti-inflammatory) yielded a higher M1/M2 ratio in infected males compared with females. Given the importance of the chromosome X-linked microRNA-223-3p (miR-223-3p) in modulating the inflammatory process and macrophage polarization, we investigated its potential contribution in sex bias of GBS-induced innate inflammatory response. Knock-down of miR-223-3p with specific antagomiR resulted in increased inflammatory response and higher M1/M2 ratio following GBS infection. Notably, compared to male mice, we detected higher amount of miR-223-3p in macrophages from females that correlated negatively with M1 phenotype. These results suggest that differential expression of miR-233-3p may impact macrophage polarization, thereby contributing to fine-tune sex differences in inflammatory response.
The law of blast stress wave propagation and fracture development in soft and hard composite rock
Authors: Ding Xiaohua , Yang Yuqing , Zhou Wei , An Wen , Li Jinyu , Ebelia Manda 
Published: October 2022

AbstractThe process of blasting stress wave propagation and crack propagation is directly affected by the physical properties of the rock mass and internal joints in the rock. In soft and hard rock layers, the blasting process is more complicated since the blasting stress wave needs to penetrate two kinds of rocks with different physical properties and the interface between soft rock and hard rock. In this study, the modal transformation of stress waves at the interface of layered composite rock was analyzed, and the process was reproduced by finite element analysis. Furthermore, the development law of cracks was explored. The research results demonstrated that in the single blasting-hole model, a triangular crack area caused by reflected stress waves appeared at the rock interface of rock medium I near the blast hole. In rock medium II, the tensile crack generated by the interface wave appeared on the side away from the blast hole. Besides, the development of the tensile crack was associated with the incident mode of the blast stress wave and the incident angle. In the deep hole blasting model, the incidence of the detonation wave front from hard rock to soft rock promoted the fragmentation of the hard rock.
Identification of hub genes and candidate herbal treatment in obesity through integrated bioinformatic analysis and reverse network pharmacology
Authors: Tai Yuxing , Tian Hongying , Yang Xiaoqian , Feng Shixing , Chen Shaotao , Zhong Chongwen , Gao Tianjiao , Gang Xiaochao , Liu Mingjun 
Published: October 2022

AbstractObesity is a global epidemic elevating the risk of various metabolic disorders. As there is a lack of effective drugs to treat obesity, we combined bioinformatics and reverse network pharmacology in this study to identify effective herbs to treat obesity. We identified 1011 differentially expressed genes (DEGs) of adipose tissue after weight loss by analyzing five expression profiles (GSE103766, GSE35411, GSE112307, GSE43471, and GSE35710) from the Gene Expression Omnibus (GEO) database. We identified 27 hub genes from the protein–protein interaction (PPI) network by performing MCODE using the Search Tool for the Retrieval of Interacting Genes (STRING) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed that these hub genes have roles in the extracellular matrix–receptor interaction, cholesterol metabolism, PI3K-Akt signaling pathway, etc. Ten herbs (Aloe, Portulacae Herba, Mori Follum, Silybum Marianum, Phyllanthi Fructus, Pollen Typhae, Ginkgo Semen, Leonuri Herba, Eriobotryae Folium, and Litseae Fructus) targeting the nine hub genes (COL1A1, MMP2, MMP9, SPP1, DNMT3B, MMP7, CETP, COL1A2, and MUC1) using six ingredients were identified as the key herbs. Quercetin and (-)-epigallocatechin-3-gallate were determined to be the key ingredients. Lastly, Ingredients-Targets, Herbs-Ingredients-Targets, and Herbs-Taste-Meridian Tropism networks were constructed using Cytoscape to elucidate this complex relationship. This study could help identify promising therapeutic targets and drugs to treat obesity.
HR‐HAR: A hierarchical relation representation for human activity recognition based on Wi‐Fi
Authors: Pu Yanglin , Jiang Yongqiang , Hu Hai‐Miao 
Published: October 2022

AbstractThe Wi‐Fi‐based human activity recognition shows immense potential, as it is device‐free, non‐intrusive to privacy, and low‐cost. However, current learning‐based recognition methods mostly adopt the hybrid representation without distinguished contributions of features to different activities, which will be seriously affected by environment variations and interference of other persons, and costly to extend to new activities. Therefore, this paper proposes HR‐HAR, a hierarchical relation representation for human activity recognition, to improve the performance, extensibility, and robustness by exploiting the hierarchical relation of features of activities. The hierarchical relation reflects the different contributions of features to recognize different activities and effectively distinguishes similar activities. It naturally leads to a layered structure that can be extended to new activities without re‐training the entire model. With the layered structure, HR‐HAR first detects the existence of other persons and then processes un‐interfered scene and interfered scene signals with different methods, so it is robust to the interference. The experimental results on the public dataset with 95.6% accuracy and on the self‐collected dataset with 95.4% accuracy for un‐interfered scene and 95.0% for interfered scene indicate that HR‐HAR is of reliable performance on human activity recognition and is robust to environmental changes and interference of other persons.
Prediction of breast cancer metastasis by deep learning pathology
Authors: Lu Yuanyue , Zhang Jun , Liu Xueyu , Zhang Zhihong , Li Wangxing , Zhou Xiaoshuang , Li Rongshan 
Published: October 2022

AbstractWith the rapid development of social economy, the incidence of breast cancer is increasing year by year. Whether there is lymph node metastasis in frozen tissue sections during breast cancer surgery is of tremendous priority for breast cancer surgical decision‐making. Therefore, it is very significant to diagnose the pathological sections of breast cancer quickly and accurately. In this study, a model which can quickly fine segmentation of lesion regions in high‐resolution breast cancer pathology sections is proposed. Firstly, pathology sections are processed by pre‐processing module; Secondly, the main lesion region in pathology sections can be quickly recognized by recognition module; Thirdly, the fine segmentation of lesion region can be accomplished by segmentation module. The dataset is selected from two medical institutions to evaluate the proposed model; it achieved the average recognition precision of 0.936 for region of interest in high‐resolution pathology section, with an F1‐score of 0.787; and the dice for lesion region segmentation is 0.8517. The proposed model outperforms several similar works, which can effectively improve the speed and precision of pathologist's diagnosis for high‐resolution breast cancer pathology sections.
FPGA‐based control strategy of five‐phase induction motor drives
Authors: Kulandaivel Gobikannan , Sundaram Elango , Padmanaban Sanjeevikumar , Khan Baseem , Kamwa Innocent 
Published: October 2022

AbstractHere, a novel control technique for Five‐Phase Induction Motor (FPIM) drives using a field‐programmable gate array (FPGA) controller is proposed. Open‐loop control is analysed in terms of the performance and measurement of various power quality factors, such as voltage harmonics, current harmonics, total harmonic distortion, crest factor, unbalanced, short and long‐term flickering, K‐factor, real power, reactive power, apparent power, and power factor. This study experimentally demonstrated a closed‐loop system with both PID and DTC controls for the FPIM. Diminished torque pulsation is obtained by efficiently utilizing the voltage vectors from the total states of 25 = 32. A novel EG voltage vector sequence was proposed for DTC techniques and compared with small, medium, and large voltage vector sequences. Proposed innovative control programming techniques in spartan‐6 XC6SLX25 series FPGA for switching the five‐phase two‐level inverter to reduce the total harmonics distortion by less than 2%.
« Blood doesn’t show on a maroon jersey », la commémoration des footballeurs morts durant la Grande Guerre dans le club de football d’Heart of Midlothian
Authors: Morata Camille 
Published: October 2022

La commémoration des sportifs tués lors de la Première Guerre mondiale débuta bien avant la fin de celle-ci, s’intensifia dès la sortie de guerre pour perdurer jusqu’au Centenaire qui fut un intense « moment-mémoire » dans lequel de nombreux acteurs (État ; collectivités locales ; institutions publiques et privées ; particuliers ; associations) se sont investis. Nombreux furent les clubs sportifs à ériger des monuments aux morts en l’honneur de leurs membres mais peu multiplièrent les projets mémoriels comme le club de football écossais d’Heart of Midlothian. L’équipe d’Édimbourg sera donc au cœur de notre analyse afin de sonder cette mémoire à travers les modalités et surtout la fonction de la construction du souvenir de ses morts.
Pilocytic Astrocytoma Arising from the Conus Medullaris in an Adult: A Case Report
Authors: Leclair Nathan K. , Buehler Avery , Wu Qian , Becker Kevin , Moss Isaac L. , Bulsara Ketan R. , Onyiuke Hilary 
Published: October 2022

AbstractLow-grade, sporadic, pilocytic astrocytomas (PAs) are rare spinal cord tumors diagnosed in adult patients. Their localization to the conus medullaris is exceedingly rare, having only been described in a limited number of case reports. Here, we describe a case of a 22-year-old female presenting with back pain, lower extremity weakness, hypoesthesia, and urinary incontinence. Imaging studies demonstrated a cystic lesion of the conus medullaris that was treated with subtotal resection and cyst-subarachnoid shunt placement. Final pathology report confirmed PA from the histology of surgical specimens. We discuss the current literature of conus medullaris lesions and their differential diagnosis.
Factors and Convergent Validity of The Pet Attachment and Life Impact Scale (PALS)
Authors: Cromer Lisa DeMarni , Barlow M. Rose 
Published: October 2022

Abstract

Human-animal interaction (HAI) provides benefits for humans. Emotional attachment to pets is a possible mechanism for benefits but there is no standard operationalization for “attachment to pets.” The study presented here
(N
= 651) uses a pet attachment measure based on qualitative research about benefits of pets. This measure, the Pet Attachment and Life Impact Scale (PALS), has four factors that measure Love, Regulation, Personal Growth, and Negative Impacts. We present exploratory factor analysis and confirmatory factor analysis of the instrument. We then examine convergent validity with four
a priori
derived measures of pet attachment (Anthropomorphism Scale, CENSHARE PAS, CABS, LAPS) and a social support scale. We provide evidence that having a current relationship with a pet is related to higher scores on the PALS than having a former pet relationship, evidencing that the PALS is a relational measure. Overall, females are more attached to pets than are males, and dog owners are most attached, followed by cat owners and owners of other pets.