Miracle-dz/UniFAR-FTUs huggingface dataset:
Prenatal Depression in Women in the Third Trimester: Prevalence, Predictive Factors, and Relationship With Maternal-Fetal Attachment

Objective: The prevalence of prenatal depression in pregnant women has found to be high, which may adversely affect the intimacy of a mother to her fetus. Few studies have investigated the relationship between prenatal depression and maternal-fetal attachment in pregnant Chinese women. This study is thus designed to evaluate the prevalence rate, predictive factors of prenatal depression in Chinese pregnant women in the third trimester of pregnancy, and the effect of prenatal depression on maternal-fetal attachment. Methods: A total of 340 pregnant women in the third trimester of pregnancy were recruited from a hospital in Anhui Province. The Edinburgh Postpartum Depression Scale (EPDS) was rated to assess the prenatal depression; the Pittsburgh Sleep Quality Index (PSQI) and Zung Self-Rating Anxiety Scale (SAS) were used to assess sleep quality and anxiety level for all participants. The Maternal Antenatal Attachment Scale (MAAS) was used to assess maternal-fetal attachment. Results: The prevalence of prenatal depression in the participants was high (19.1%) in our study. The scores of prenatal anxiety and sleep disorders were higher with prenatal depression than in those without prenatal depression (47.6 ± 9.5 vs. 38.9 ± 6.9; 8.3 ± 3.3 vs. 6.1 ± 2.7, all p < 0.01). MAAS quality was lower in prenatal depression women than those in non-prenatal depression women (43.8 ± 5.6 vs. 46.4 ± 4.5, p < 0.01). Correlation analysis showed that prenatal depression was associated with parity, prenatal education, education level, marital satisfaction, anxiety and sleep disorders (all p < 0.05). Furthermore, binary logistic regression results showed that anxiety and sleep disorders were risk factors for prenatal depression. Prenatal education, higher marriage satisfaction were protective factors for prenatal depression. In addition, correlation analysis also showed that prenatal depression was positively correlated with MAAS intensity, but negatively correlated with MAAS quality. Conclusions: Our results indicated a high prevalence of prenatal depression in women in the third trimester. Prenatal education and higher marital satisfaction were protective factors for prenatal depression; antenatal anxiety and sleep disorders during pregnancy were risk factors for prenatal depression. Prenatal depression was negatively correlated with MAAS quality, but positively correlated with MAAS intensity.
That’s Cool. Computational Sociolinguistic Methods for Investigating Individual Lexico-grammatical Variation

The present study deals with variation in the use of lexico-grammatical patterns and emphasizes the need to embrace individual variation. Targeting the pattern that’s adj (as in that’s right, that’s nice or that’s okay) as a case study, we use a tailor-made Python script to systematically retrieve grammatical and semantic information about all instances of this construction in BNC2014 as well as sociolinguistic information enabling us to study social and individual lexico-grammatical variation among speakers who have used this pattern. The dataset amounts to 4,394 tokens produced by 445 speakers using 159 adjective types in 931 conversations. Using detailed descriptive statistics and mixed-effects regression models, we show that while the choice of some adjectives is partly determined by social variables, situational and especially individual variation is rampant overall. Adopting a cognitive-linguistic perspective and relying on the notion of entrenchment, we interpret these findings as reflecting individual speakers' routines. We argue that computational sociolinguistics is in an ideal position to contribute to the data-driven investigation of individual lexico-grammatical variation and encourage computational sociolinguists to grab this opportunity. For the routines of individual speakers ultimately both underlie and compromise systematic social variation and trigger and steer well-known types of language change including grammaticalization, pragmaticalization and change by invited inference.
Comparative Study of the Antimicrobial Activity of Selenium Nanoparticles With Different Surface Chemistry and Structure

Although selenium nanoparticles (SeNPs) have gained attention in the scientific community mostly through investigation of their anticancer activity, a great potential of this nanomaterial was recognized recently regarding its antimicrobial activity. The particle form, size, and surface chemistry have been recognized as crucial parameters determining the interaction of nanomaterials with biological entities. Furthermore, considering a narrow boundary between beneficial and toxic effects for selenium per se, it is clear that investigations of biomedical applications of SeNPs are very demanding and must be done with great precautions. The goal of this work is to evaluate the effects of SeNPs surface chemistry and structure on antimicrobial activity against several common bacterial strains, including Staphylococcus aureus (ATCC 6538), Enterococcus faecalis (ATCC 29212), Bacillus subtilis (ATCC 6633), and Kocuria rhizophila (ATCC 9341), as well as Escherichia coli (ATCC 8739), Salmonella Abony (NCTC 6017), Klebsiella pneumoniae (NCIMB 9111) and Pseudomonas aeruginosa (ATCC 9027), and the standard yeast strain Candida albicans (ATCC 10231). Three types of SeNPs were synthesized by chemical reduction approach using different stabilizers and reducing agents: (i) bovine serum albumin (BSA) + ascorbic acid, (ii) chitosan + ascorbic acid, and (iii) with glucose. A thorough physicochemical characterization of the obtained SeNPs was performed to determine the effects of varying synthesis parameters on their morphology, size, structure, and surface chemistry. All SeNPs were amorphous, with spherical morphology and size in the range 70–300 nm. However, the SeNPs obtained under different synthesis conditions, i.e. by using different stabilizers as well as reducing agents, exhibited different antimicrobial activity as well as cytotoxicity which are crucial for their applications. In this paper, the antimicrobial screening of the selected systems is presented, which was determined by the broth microdilution method, and inhibitory influence on the production of monomicrobial and dual-species biofilm was evaluated. The potential mechanism of action of different systems is proposed. Additionally, the cytotoxicity of SeNPs was examined on the MRC-5 cell line, in the same concentration interval as for antimicrobial testing. It was shown that formulation SeNPs-BSA expressed a significantly lower cytotoxic effect than the other two formulations.
Piezoelectric properties of BiFeO 3 -- PbTiO 3 ceramics

Ceramics of type (BiFeO3)x (PbTiO3)1-x have been fabricated using conventional mixed oxide synthesis. The strain field (xE)/polarisation field (PE) behaviour of compositions x = 0.80, 0.70, 0.65 and 0.60 have been studied. At high field strengths, piezoelectricity can be instilled in these materials. The composition x = 0.70 is observed to be the most active of those studied, with a total strain of 0.22% and a d33 of 160 pm V −1 using an electric field strength of 18 MV m −1 . It is not possible to determine the magnitude of the coercive field using the PE data in these materials. The most active composition is observed to lie outside the mixed phase region.
The Role of Hydrogen in Formation of Pd XANES in Pd-Nanoparticles

The effects of hydrogen in Pd nanoparticles on the features of Pd K-edge X-ray absorption near edge structure (XANES) are studied. Simulations indicate a linear dependence of the intensities of XANES maxima upon the concentration of hydrogen in the bulk of Pd clusters at low H-concentrations and stepwise increase of the first near edge peak at high concentrations. The effects of the diffusion of H atoms over the interstitial sites are considered. The application of the obtained results to the experimental spectra measured in PdH nanoparticles of sizes from 1.3nm to 10.5nm indicates low H-concentrations and high mobility of H-atoms in the bulk of the nanoparticles.
Distributed Runtime Verification Under Partial Synchrony

In this paper, we study the problem of runtime veriﬁcation of distributed applications that do not share a global clock with respect to speciﬁcations in the linear temporal logics ( LTL ). Our proposed method distinguishes from the existing work in three novel ways. First, we make a practical assumption that the distributed system under scrutiny is augmented with a clock synchronization algorithm that guarantees bounded clock skew among all processes. Second, we do not make any assumption about the structure of predicates that form LTL formulas. This relaxation allows us to monitor a wide range of applications that was not possible before. Subsequently, we propose a distributed monitoring algorithm by employing SMT solving techniques. Third, given the fact that distributed applications nowadays run on massive cloud services, we extend our solution to a parallel monitoring algorithm to utilize the available computing infrastructure. We report on rigorous synthetic as well as real-world case studies and demonstrate that scalable online monitoring of distributed applications is within our reach.
Chemical reaction in a thermal plasma

A thermal plasma has high potential to instigate a refractory chemical reaction because it has a high temperature and high energy. So thermal plasmas have been utilized for some high-temperature processes in which a chemical reaction occurs, although so far chemical application of thermal plasmas has not been sufficient and their use should be promoted more. In this paper, the homogeneous and heterogeneous chemical processes in a thermal plasma are described, and its application to the environment problem is mentioned as a recent topic. Lastly the problems which must be solved to promote chemical applications of thermal plasmas are shown
Synthesis of Nickel Nanoparticles with N‐Doped Graphene Shells for Catalytic Reduction Reactions

The synthesis of novel nanoparticles is of general importance for the development of efficient heterogeneous catalysts. Herein, the preparation of carbon‐supported nickel‐based nanoparticles (NPs), modified by nitrogen‐doped graphene layers, is reported for the first time. The resulting materials were characterized in detail by TEM, X‐ray photoelectron spectroscopy (XPS), XRD, elemental analysis (EA), electron paramagnetic resonance (EPR), temperature‐programmed reduction (TPR), BET, and Raman analysis. Initial catalytic tests revealed the potential of this class of compounds in hydrogenation reactions.
Information Encoding in Small Neural Systems

The nervous system must encode and process information using the action potentials of neurones. There is considerable controversy as to how this is achieved. Most neuroscientists assume that the rate of discharge of action potentials is all that carries information; however, more recent work suggests that the precise timing of the discharge events could also carry information. The essay will address the theoretical basis for these two contrasting views of neural encoding. It may also address how experimental data can be used to address this problem, since the analysis and interpretation of such data is far from straightforward.
Methodological issues in lipid bilayer simulations

Methodological issues in molecular dynamics (MD) simulations, such as the treatment of long-range electrostatic interactions or the type of pressure coupling, have important consequences for the equilibrium properties observed. We report a series of long (up to 150 ns) MD simulations of dipalmitoylphosphatidylcholine (DPPC) bilayers in which the methodology of simulation is systematically varied. Comparisons of simulations with truncation schemes, Ewald summations, and modified Coulomb interactions, either by shift functions or reaction field models, to describe long-range electrostatics point out the artifacts inherent in each of these methods and above all those of straight cutoff methods. We further show that bilayer properties are less sensitive to the details of the pressure-coupling algorithm and that an increased integration time step of 5 fs can be safely used in simulations of phosphatidylcholine lipid bilayers.
Toxicological Assessment of Chinese Cherry ( Cerasus Pseudocerasus L.) Seed Oil

The potential toxic properties and safety of Chinese cherry seed oil (CSO) were investigated by in vitro and in vivo toxicity tests. The acute oral toxicity study revealed no significant difference for the macroscopic results, the mortality and the body weight gain at 4000 mg CSO/kg bw ( p > 0.05). The results in the bacterial reverse mutation test indicated the doses levels of 100 _ 5000 μg/plate did not induce mutations. The mammalian erythrocyte micronucleus test was used to evaluate structural and numerical chromosomal aberrations, compared with the negative control, the results showed no significant difference in micronucleus formation and the ratio of polychromatic erythrocytes and micro nucleated polychromatic erythrocytes at the concentrations of 500 _ 2000 mg CSO/kg bw ( p > 0.05). According to the mouse sperm abnormality test, CSO has no toxicity on mutagenesis of germ cell at the dietary exposure of 500 _ 2000 mg/kg bw. In 28-day oral toxicity test, the food intake, organ weight and the biochemical and hematological parameters of all animals were not significantly different among the tested and the control groups ( p > 0.05).
Gene effects for different metric traits under normal and high temperature stress environments in wheat (T. aestivum L. Em Thell)

The present investigation was conducted to analyze gene effects for grain yield and its components under two different environments. Nine wheat genotypes were selected to generate the experimental material comprised six parental and segregating generations (P1, P2, F1, F2, BC1 and BS1 of BC1 of each of the following six crosses – PBW 343 x WH 283, PBW 343 x WH 542, PBW 343 x PBW 435, UP 2565 x UP 2425, EIGN 1 x Raj 3765 and EIGN 8 x UP 2425. Joint scaling tests revealed the presence of epitasis. Six parameter model revealed the significance of additive gene effects (d) for biological and grain yield and their components in most of the crosses. The relative magnitude of (h) was higher than (d) in all the crosses for most of the characters while additive x additive (i) effects appeared to be significant for grain yield per plant (E1) and number of grain per spike (E2) in PBW 343 x WH 283. Significant (i) type of interaction was recorded in PBW 343 x WH 542 for number of grain per spike (E1), number of tillers per plant (E2) in PBW 343 x PBW 435 and for 1000-grain weight in UP 2565 x UP 2425. Pedigree method and simple selection in crosses like PBW 343 x PBW 435, UP 2565 x UP 2425, PBW 343 x WH 283 and PBW 343 x WH 542 should be used for improvement of traits governed by additive and additive x additive gene effect.
Dielectric relaxation in proteins: Microscopic and macroscopic models

Dielectric relaxation in response to charge separation or transfer is a crucial component of protein electrostatics. Theoretical studies can give valuable insights; for example, they allow a separate analysis of protein and solvent relaxation. We review recent theoretical studies performed with macroscopic and microscopic models. Macroscopic continuum models provide a simple framework in which to interpret the results of detailed molecular dynamics simulations of dielectric relaxation. They are also widely used in protein modeling. Molecular dynamics simulations allow the Frohlich–Kirkwood dielectric constant of a protein to be calculated. This dielectric constant is a linear response coefficient, which is appropriate in principle to describe protein relaxation in response to perturbing fields and charges. The internal dielectric constant of several proteins was found to be small (2–3), while the overall dielectric constant is large (15–25) due to motions of charged side chains at the protein surface. Poisson calculations using the low internal dielectric constant of cytochrome c reproduced approximately molecular dynamics relaxation free energies for charge insertion at multiple sites within this protein. In the protein aspartyl-tRNA synthetase, the relaxation and nonrelaxation (“static”) components of the free energy were calculated for charge insertion in the active site. The assumption of linear response leads to a linear relation between the static and relaxation free energies. This relation was verified by continuum calculations if and only if different protein dielectric constants were used for the static and relaxation components of the free energy; namely one for the static free energy and 4–8 for the relaxation free energy. These were also the only values that gave at least fair agreement with molecular dynamics estimates of the free energy for this process. Applications of continuum models to other systems and more complex processes, such as ligand binding or calculation of titration curves, are discussed briefly. ©1999 John Wiley & Sons, Inc. Int J Quant Chem 73: 45–57, 1999
Force Control of Robot Manipulator using Industrial Servo Drives∗

Force control is a prerequisite to perform compliant manipulation tasks like surface finishing, assembly task, cooperative robot based manufacturing, etc. Moreover, as these tasks require close interaction with the environment, any inaccuracy may lead to loss of life and property. Most of the conventional hardware controller that exists in the industry do not support implementation of current or torque control at any robot joints so as to have an end-effector force control. The paper proposes an use of a direct torque control (DTC) using an industrial AC permanent magnet synchronous motor (PMSM), which was implemented on a 2-link robot arm developed inhouse. The proposed system has the capability to be used for end-effector force control apart from being used for obtaining joint compliance of an industrial robot.
COMPARATIVE STUDY OF Bi-Te-Se-S MINERALIZATIONS IN SLOVAK REPUBLIC AND TRANSCARPATHIAN REGION OF UKRAINE. PART 2. CRYSTAL CHEMISTRY AND GENESIS OF LAYERED Bi-TELLURIDES

territory of Slovakia and Transcarpathian region of Ukraine and typical mineral associations found here were discussed in the first part of the article [13]. As layered tellurides of bismuth are established both in Transcarpathian region of Ukraine and Slovakia they can be taken as the object to do comparative study of their crystallochemistry. Table 1 and 2 show crystallochemical formulas of bismuth tellurides found in both these regions. We would like to note, that chemical analyses are not given for all minerals listed in [13] (Table 1). Therefore, the data summarized in Table 1 do not completely display all the crystallochemical features of bismuth tellurides of Slovakia. Predominant mineral varieties are related to such structural types as tetradymite (А2Х3), tsumoite (AX ) and pilsenite (А4Х3). There are also some problematic species of bismuth tellurides that have not been studied enough yet. The same situation is observed with tellurides of Transcarpathians which crystallochemical formulas are listed in Table 2. Tetradymite and tellurobismuthite. In spite of the fact that tetradymite and tellurobismuthite are the most widespread tellurides in Slovakia a number of chemically characterised samples is limited to several manifestations (Table 1). Their compositions are close to stoichiometric, but tetradymite from Smolník and Úhorná localities shows high selenium content (0.26 Se on f. u.). Tetradymite from Zupkov is the first finding of this mineral (A. Wehrle, 1831). The parameters of the trigonal unit cell (a = 4.2496(7) — 4.2463(6) Å, c = 29.576(6) — 29.560(4) Ǻ, V = 462.6(1) — 461.6(1) Ǻ3) are in accordance with calculated formula (Bi1.97× ×As0.01)1.98 (Te2.00S0.96Se0.06)1.02 [16]. Strangely enough but tetradymite has not been found in the Transcarpathian region of Ukraine till now. Sulphur bearing tellurobismuthite from Sauliak shows significant amount of lead (0.54 Pb p. f. u.) (Table 2). Tsumoite and similar minerals. Tsumoite from Smolnik and Úhorná contains about 0.16 Cu on UDC 549.328/. 334(437.6 + 477)
Plaque Removal Effect by Round-Shaped Toothbrush

Background and Objective: Plaque control is the most important factor in periodontal therapy. Especially patient with periodontitis needs good plaque control. We have developed round-shaped toothbrush and have tested its effectiveness of plaque removal. Materials and Methods: We have selected ten volunteer students from Kyushu dental university dental hygienist course, and all volunteers were informed and consented. All members had healthy and periodontal tissue. Before examination, plaque index was calculated by O’Leary’s Plaque Control Record (PCR). After 10 min brushing by bath method, plaque index were calculated again. Results: Round-shaped toothbrush revealed significantly high plaque removal rate on lingual side of mandibular molars. Conclusion: Round-shaped toothbrush might have possibility to lead to the perfect plaque control.
Review on a Privacy-Preserving and Efficient kNearest Neighbor Query and Classification Scheme Based on k-Dimension Tree for Outsource Data

– Cloud computing technology has attracted the attention of researchers and organizations due to its computing power, efficiency and flexibility. Using cloud computing technology to analyze outsourced data is become a new data utilization model. However, due to the severe security risks that appear in cloud computing, most organizations now encrypt data before outsourcing data. Therefore, in recent years, many works on the k-Nearest Neighbor (denoted by k-NN) algorithm for encrypted data has appeared. However, two main problems in existing current research are either the program is not secure enough or inefficient. In this paper, based on the existing problems, we have designed a non-interactive privacy-preserving k-query and classification scheme. Our proposed scheme uses two existing encryption schemes: Order Preserving Encryption and the Parlier cryptosystem, to preserve the privacy of encrypted outsourced data, data access patterns, and the query record, and utilizes the encrypted the k-dimensional tree (denoted by kd-tree) to optimize the traditional k-NN algorithm. Our proposed scheme aim to achieve high query efficiency while ensuring data security. Extensive experimental results prove that this scheme is almost close to the scheme using plaintext data and the existing non-interactive encrypted data query scheme in terms of classification accuracy. The query runtime of our scheme is higher than the existing non interactive k-NN query scheme.
A Japanese-style diet affects metabolic gene expression in young Japanese women

Few studies have examined whether a Japanese-style diet provides health benefits to humans. In this study, we aimed to investigate the effects of a Japanese-style diet on the metabolic gene expression of young Japanese women. During an 8-week intervention period, 15 participants each consumed 40 (5 days x 8 weeks) Japanese-style diet meals as weekday lunches. We collected venous blood samples at baseline and after the intervention, assessed biochemical parameters, and performed DNAmicroarray analyses. The baseline lunch of the subjects consisted of 60% cooked rice, 20% noodles, and 20% bread as staple foods, and was generally accompanied by meat and eggs. In contrast, the Japanese-style diet lunch consisted of a rice and miso soup base, accompanied by plant-derived foods and fermented seasoning. Fish was also often included. After the intervention period, total serum cholesterol showed a decreasing tendency when compared with the baseline. The DNAmicroarray results showed that approximately 30% of the analyzed genes were differentially expressed in before and after intervention comparisons. Notably, genes associated with lipid metabolic parameters, including ACADS, FASN and PPARDwere significantly down changed after the intervention period. The Japanese-style diet may affect metabolic gene expression due to its high contents of fish, plant-based foods, and fermented seasonings.