Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH HYPNOBIRTHING TERHADAP TINGKAT KECEMASAN IBU BERSALIN DAN LAMA PERSALINAN

nIbu primipara biasanya mengalami rasa kecemasan yang tinggi dalam menghadapi proses persalinan, hal tersebut dapat mempengaruhi kekuatan kontraksi ibu untuk mendorong janin keluar selama proses persalinan. Persalinan dapat berjalan lancar jika ibu mampu menyelaraskan antara pernafasan dengan kontraksi uterus yang dirasakan, hal tersebut dapat dilakukan jika ibu dalam kondisi yang rileks. Aplikasi hipnosis dalam obstetri saat ini menjadi trend, khususnya dalam merencanakan persalinan yang fisiologis tanpa disertai gangguan psikologis seperti cemas yang berlebihan.nTujuan: Penelitian ini bertujuan untuk mengetahui pengaruh pengaruh Hypnobirthing terhadap tingkat kecemasan ibu bersalin dan lama persalinan di Bidan Praktek Mandiri wilayah Kabupaten Malang.nMetode: Jenis penelitian ini adalah eksperimen dengan desain postest only control group design. Jumlah sampel seluruhnya dalam penelitian ini sebanyak 30 ibu primipara yang dibagi dalam 2 kelompok, yaitu 15 ibu bersalin dengan hypnobirthing dan 15 ibu bersalin tanpa menggunakan hypnobirthing. Pengambilan data dilakukan pada bulan Agustus 2015 sampai dengan Desember 2015. Analisis data dilakukan dengan uji Mann Whitney dengan p valuen 0,05.nHasil: Ibu bersalin dengan hypnobirthing sebanyak 11 orang (73,3%) tidak mengalami gejala kecemasan dan 8 orang (53,3%) dalam katagori lama persalinan normal (4-8 jam). Sedangkan ibu bersalin tanpa hypnobirthing sebanyak 6 orang (40%) termasuk dalam katagori gejala kecemasan sedang dan 6 orang (40%) dengan proses persalinan normal. Hasil analisis dengan mann whitney terhadap lama persalinan signifikasi sebesar 0,229. Dan nilai signifikasi terhadap tingkat kecemasan sebesar 0,001.n Karena nilai signifikasi l 0,05 sehingga dapat dinyatakan bahwa terdapat perbedaan yang signifikan pada tingkat kecemasan antara kelompok eksperimen dengan kelompok kontrol.nKesimpulan: Tingkat kecemasan pada ibu bersalin dengan hypnobirthing lebih rendah dari pada tanpa hypnobirthing, namun tidak ada perbedaan terhadap lama persalinan
Stability and collapse of holes in liquid layers

We investigate experimentally and theoretically the stability and collapse of holes in liquid layers on bounded substrates with various wettabilities. It is shown that for a liquid layer with a thickness of the order of the capillary length, a stable hole exists when the hole diameter is bigger than a critical value $d_{c}$ . Consequently, a further increase of the liquid volume causes the hole to collapse. It is found that $d_{c}$ increases with the size of the container, but its dependence on the contact angle is very weak. The experimental results are compared with theory, and good agreement is obtained. Moreover, we present investigations of the dynamics of the hole and the evolution of the liquid film profile after the collapse. The diameter of the hole during collapse and the minimum thickness of the liquid film shortly after the collapse obey different power laws with time. Simple theoretical models are developed which indicate that the collapse of the hole is triggered by surface tension and the subsequent closure process results from inertia, whereas the growth of the liquid column after hole closure results from the balance between the capillary force and inertia. Corresponding scaling coefficients are determined.
Red-shift of the ferromagnetic resonance of an interacting $2D$ array of nanomagnets

Through analytical developments we study the FMR frequency shift due to dipolar interactions in two-dimensional arrays of nanomagnets with effective uniaxial anisotropy along the magnetic field. For this we develop a general formalism on the basis of perturbation theory that applies to dilute assemblies but which goes beyond the point-dipole approximation. Indeed, it takes account of the size and shape of the nano-elements, in addition to their separation and spatial arrangement. The contribution to the frequency shift due to the shape and size of the nano-elements has been obtained in terms of their aspect ratio, their separation and the lattice geometry. We have also varied the size of the array itself and compared the results with a semi-analytical model and have seen that the agreement improves as the size of the array increases. On the other hand, it turns out that the red-shift of the ferromagnetic resonance decreases for smaller arrays.
Effect of florfenicol on nirS-type denitrifying communities structure of water in an aquatic microcosm model

Florfenicol is used worldwide for its low side effects and strong bactericidal effect. Florfenicol is physicochemically stable and can persist in natural water bodies and affect water denitrification. Indoor aquatic microcosm models were constructed and water samples were collected at different florfenicol concentrations (0.1, 1, 10, and 100 mg/L) on days 0, 7, 30, and 60 to extract the microbial genome DNA and determine the water properties. qPCR and amplicon sequencing were used to study the dynamic changes of nirS gene and nirS-type denitrifying communities structure, diversity and abundance, respectively. The results showed that higher florfenicol concentrations caused accumulation of nitrate and ammonium nitrogen in water. Florfenicol stress caused orders of magnitude changes in nirS gene abundance, showing a trend of increasing first and then decreasing. 100 mg/L florfenicol addition led to a sustained increase of nirS gene abundance in water bodies. The florfenicol addition altered denitrifying community structure and suppressed the richness and diversity index of denitrifying bacteria in water body. Over time, the richness and diversity index gradually recovered. Proteobacteria was always the dominant denitrifying phylum in water. The relative abundance of Pseudomonas and beta proteobacterium showed obvious positive correlation with nirS gene abundance and were the dominant genera under florfenicol stress. Our study provided a scientific basis for the rational use of florfenicol in aquaculture to maintain a healthy and stable microecological environment, and also provided a preliminary understanding of the response characteristics of water denitrifying microorganisms to florfenicol exposure.
Effects of Microstructure on Three-Dimensional Double-Diffusive Natural Convection Flow of Micropolar Fluid

Abstract This work presents a three-dimensional numerical study on double-diffusive natural convection in a cubic cavity filled with a micropolar fluid. The flow is driven by buoyancy forces due to temperature and solutal gradients. Constant temperature and concentration are imposed along the two vertical sidewalls of the cubic enclosure, while the remaining walls are adiabatic and impermeable. The governing equations are expressed in the vorticity-stream function formulation and then solved numerically using the control volume finite method. Numerical results are compared with the case of a Newtonian fluid. The influences of the micro-constituents of the micropolar fluid are depicted. The results show different transitions of the structure of the main flow when varying the vortex viscosity parameter. It is also observed that both the heat and mass transfer rates and the three-dimensional character of the flow are reduced by increasing the vortex viscosity parameter.
An efficient parallel/Unstructured-Multigrid implicit method for simulating 3D Fluid-Structure Interaction

A finite volume (FV) method for simulating 3D Fluid-Structure Interaction (FSI) is presented in this paper. The fluid flow is simulated using a parallel unstructured multigrid preconditioned implicit compressible solver, whist a 3D matrix-free implicit unstructured multigrid finite volume solver is employed for the structural dynamics. The two modules are then coupled using a so-called immersed membrane method (IMM). Large-Eddy Simulation (LES) is employed to predict turbulence. Results from several moving boundary and FSI problems are presented to validate proposed methods and demonstrate their efficiency.
Second derivatives, particle collisions and travelling liquid slugs within smoothed particle hydrodynamics

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
How the brain processes emotional meaning of indirect reply: evidence from EEG

ABSTRACT People often express their message and emotions through indirect utterances. How the intended meaning of indirect utterances is comprehended remains not completely clear. We investigated how the emotional meaning of indirect replies is processed in the brain. Participants were required to comprehend dialogues. Three types of replies were constructed: direct reply, informative indirect reply and negative indirect reply. Our results showed that both informative and negative indirect replies were understood with lower accuracy and longer behavioural reaction times than direct replies. Moreover, informative indirect replies elicited a larger N400 than direct replies, whereas negative indirect replies (compared to informative indirect replies as well as direct replies) elicited enhanced ERP responses only over the late P600 component. These findings suggest that the cognitive processes involved in and the time course of the comprehension of indirect replies change dynamically as a function of the emotional aspects of the intended meaning.
Assessing Taxpayer Behavior Commitment in Mattering Tax Compliance: The Moderating of Tax Ethics

This study aims to determine the effect of affective commitment, normative commitment, and ongoing commitment to tax compliance with tax ethics as a moderating variable. This research is quantitative research using primary data. This study’s population is individual taxpayers registered at KPP Pratama Kosambi, Tangerang City, Indonesia. The sampling technique used convenience sampling, which obtained a sample of 100 respondents—collecting data using a questionnaire/questionnaire method. The measurement scale used is the Likert scale. The data analysis technique used in this research is a quantitative data analysis using statistical methods. The statistical method used is Partial Least Square (PLS). The results of this study indicate that normative commitment has a significant effect on tax compliance, while affective and ongoing commitments do not affect tax compliance. Tax ethics cannot moderate the relationship between affective, normative, and sustainable commitment to tax compliance.
Healthy Lifestyle Score and Glycemic Control in Type 2 Diabetes Mellitus Patients: A City-Wide Survey in China

Background: Few studies have investigated the combined impact of healthy lifestyle factors on glycemic control. Our study aimed to examine the associations of a healthy lifestyle score (HLS) with glycemic control and to explore the interactive effects of lifestyle factors among patients with type 2 diabetes mellitus (T2DM) in China. Methods: This cross-sectional study was conducted among T2DM patients based on the health management of residents from Guangzhou, China. Good glycemic control was defined as fasting plasma glucose < 7.0 mmol/L. HbA1c < 7.0% was also defined as good glycemic control in sensitivity analysis. The HLS was defined as including physical activity, waist circumference, body mass index, dietary habit, smoking, and alcohol consumption. Logistic regression models were used to examine the associations and interactions between the lifestyle factors and glycemic control. Results: Compared with participants with an HLS ≤ 2, the odds ratios (95% confidence intervals) for an HLS of 3, 4, 5, and 6 were 0.82 (0.77–0.87), 0.74 (0.70–0.79), 0.61 (0.57–0.65), and 0.56 (0.53–0.60), respectively. Significant interactions of healthy lifestyle factors in relation to glycemic control were shown (Pinteraction < 0.05). Conclusions: A healthier lifestyle was significantly associated with good glycemic control in patients with T2DM, and combined healthy lifestyle factors had a better effect than considering them individually.
Quantifying Heatwaves’ Contemporary Association with Continental Biodiversity

In recent years, extreme high temperature events have created great threat to humanity and socio-economy. However, a comprehensive evaluation on the degrees to which ecosystems are affected by heatwaves is yet to be fully resolved and becomes a hot-spot in climate and ecological research. This study aims to quantify the relationship between global heatwave occurrence and environmental indicators such as continental biodiversity quantified by the Living Planet Index, thereby generating a way to understand the extent to which future heatwaves may impact the planet. Analyzing global meteorological data from the last 43 years (1980-2022), heatwave definition is standardized to daily maximum temperatures over the 90th percentile (threshold), with a consecutive occurrence of at least three days, in the 1981-2010 climatological period. A significantly strong, negative correlation (coefficient of determination=0.766) between the occurrence of the standardized heatwave and continental biodiversity is established through Pearson correlation analysis and linear regression, followed by Student-t test. This research provides the scientific community a better comprehension to the variability of heatwaves during the past decades over global continental regions. Through diagnosing the heatwave-biodiversity relationship and the underlying mechanism of how extreme temperature events impact ecosystems, this research will shed light on a better solution to alleviate the impact of heatwaves on biodiversity, or better, to alleviate global warming purposefully.
Latitudinal beaming of Jovian decametric radio emissions as viewed from Juno and the Nançay Decameter Array

Two well‐defined Jovian decametric radio arcs were observed at latitudinal separations of 11°–16° from the Juno spacecraft near Jupiter and the Nançay Decameter Array (NDA) at Earth on 17 May and 25 August 2016. These discrete arcs are from the so‐called A source covering both Io‐related and non‐Io‐related emissions. By measuring the wave arrival time at two distant observers with propagation time correction, the remaining delay times are 92.8 ± 1.3 min for the first arc and 116.0 ± 1.2 min for the second arc. This implies that both radio sources are not controlled by the orbital motion of Io but Jupiter's rotation itself. The geometrical information for Juno and NDA and the loss cone‐driven electron cyclotron maser instability theory provide these radio sources that are located at about 173° ± 10° in system III longitude projected onto Jupiter's north surface and imply resonant electron energy ranges from 0.5 to 11 keV.
Characterization of Growth-Promoting Activities of Consortia of Chlorpyrifos Mineralizing Endophytic Bacteria Naturally Harboring in Rice Plants—A Potential Bio-Stimulant to Develop a Safe and Sustainable Agriculture

Eighteen pesticide-degrading endophytic bacteria were isolated from the roots, stems, and leaves of healthy rice plants and identified through 16S rRNA gene sequencing. Furthermore, biochemical properties, including enzyme production, dye degradation, anti-bacterial activities, plant-growth-promoting traits, including N-fixation, P-solubilization, auxin production, and ACC-deaminase activities of these naturally occurring endophytic bacteria along with their four consortia, were characterized. Enterobacter cloacae HSTU-ABk39 and Enterobacter sp. HSTU-ABk36 displayed inhibition zones of 41.5 ± 1.5 mm, and 29 ± 09 mm against multidrug-resistant human pathogenic bacteria Staphylococcus aureus and Staphylococcus epidermidis, respectively. FT-IR analysis revealed that all eighteen isolates were able to degrade chlorpyrifos pesticide. Our study confirms that pesticide-degrading endophytic bacteria from rice plants play a key role in enhancing plant growth. Notably, rice plants grown in pots containing reduced urea (30%) mixed with either endophytic bacterial consortium-1, consortium-2, consortium-3, or consortia-4 demonstrated an increase of 17.3%, 38.6%, 18.2%, and 39.1% yields, respectively, compared to the control plants grown in pots containing 100% fertilizer. GC–MS/MS analysis confirmed that consortia treatment caused the degradation of chlorpyrifos into different non-toxic metabolites, including 2-Hydroxy-3,5,6 trichloropyridine, Diethyl methane phosphonate, Phorate sulfoxide, and Carbonochloridic. Thus, these isolates could be deployed as bio-stimulants to improve crop production by creating a sustainable biological system.
A NOTE ON AN INEQUALITY SIMILAR TO LYAPUNOV'S INEQUALITY

(3) (\y'(t)\~y'{t))' + q(t)\y(t)ry(t) = o , P > 1 , where / € / = [0, and I contains the points a,b (a < b), the function q is real-valued and continuous on I . The problems of existence, uniqueness and other properties of solutions to equations of the form (3) are recently studied in [3]-[5]. In what follows it is assumed that solutions of (3), and also of some generalizations of (3), exist on I .
Bit-level Jacobi-like algorithms for eigenvalue and singular value decompositions

In recent years, there has been considerable interest in methods for computing eigenvalues and singular values of large matrices$\sp1$. Because these computations rapidly become intractable (due to their $O(n\sp3)$ complexity, assuming for now that the matrices are $n \times n),$ much attention has focused on parallel means of solution. The main contribution of this thesis, will be the introduction of a new class of bit-level algorithms for the solution of these problems which perform up to five times faster than previous algorithms on a suitable parallel architecture. Bit-level means that the algorithms operate on subfields of a floating point number; The basic unit is no longer the floating point number itself. We will begin with the discussion of methodology for meaningful comparison of different algorithms, with respect to both speed and accuracy, and which also takes into account the interaction between algorithm and architecture. Next, we will present a generalization of the notion of C scORDIC$\sp2$ arithmetic, which we call p-C scORDIC, which will form the underpinning for some of our subsequent developments. This will lead to the exposition of new algorithmic techniques applicable to singular value and eigenvalue decompositions, which have significantly reduced communication bandwidth requirements as well as improved load balance on some parallel computers. We will make explicit the conditions under which these techniques will prove to be useful. We will derive new algorithms for various cases of these decompositions, and prove some convergence properties of them. We are also concerned with the mapping of these techniques on to specific machines. We consider two architectural scenarios. After studying the specific details of the architecture, we describe implementations on the massively parallel Connection Machine (CM). Our results indicate that on the CM, our algorithm is up to several times faster than the best traditional algorithm of this type. Then we discuss the design of a special purpose linear array of processors, for very efficient computation of singular values and vectors of a complex matrix. ftn$\sp1$By large, we mean of dimension greater than, say 250. $\sp2$The arithmetic used by the COordinate Rotation DIgital Computer introduced by J. E. Volder.
Advances from Recent Multi-wavelength Campaigns on Sgr A*

Abstract Sagittarius A* is the closest example of a supermassive black hole and our proximity allows us to detect emission from its accretion flow in the radio, submillimeter, near IR, and X-ray regimes. Ambitious monitoring campaigns have yielded rich multi-wavelength, time-resolved data that have the power to probe the physical processes underlying Sgr A*’s quiescent and flare emission. Here, I review the status of Sgr A* X-ray monitoring campaigns from the Chandra X-ray Observatory (also XMM Newton, and Swift), and efforts to coordinate these with observations across the electromagnetic spectrum. I also discuss how these observations constrain models for Sgr A*’s variability, which range from tidal disruption of asteroids to gravitational lensing to collimated outflows to magnetic reconnection.
Optimal Financial Portfolio Selection

Author(s): Derpanopoulos, George | Advisor(s): Hazlett, Chad J | Abstract: Modern Portfolio Theory (MPT) has been the canonical theoretical model of portfolio selection for over 60 years, yet it faces limited adoption among practitioners. This is because MPT’s main inputs, assets’ expected returns and covariances, are estimated with noise, while the solution to its optimization problem requires the inversion of an ill-conditioned matrix. As a result, MPT often produces unstable portfolios with extreme weights. This study reviews and evaluates several methods for altering MPT’s inputs and optimization problem to produce more stable and diversified portfolios, without discarding MPT’s intuitive assumptions and structure. These methods are: robust estimators and shrinkage estimators of expected returns and covariances, covariances based on statistical models of returns, sparse graphical models of inverse covariance matrices, filtered covariance matrices, portfolio optimization that incorporates uncertainty in expected returns, and portfolio optimization with penalties on weights’ norm. To evaluate competing methods, I construct their respective portfolios using monthly data on 92 assets and 90 rolling training periods of 15-year length. Comparing these portfolios’ out-of-sample performance across several financial metrics and rolling test periods of 6-month length, I find that most alternatives outperform the standard MPT approach. However, I also find that only the L1-norm penalized portfolio marginally outperforms the benchmark equal-weighted portfolio, and owes its good performance to limiting short-sales.
Pesticide Use and Degradation Strategies: Food Safety, Challenges and Perspectives

While recognizing the gaps in pesticide regulations that impact consumer safety, public health concerns associated with pesticide contamination of foods are pointed out. The strategies and research directions proposed to prevent and/or reduce pesticide adverse effects on human health and the environment are discussed. Special attention is paid to organophosphate pesticides, as widely applied insecticides in agriculture, veterinary practices, and urban areas. Biotic and abiotic strategies for organophosphate pesticide degradation are discussed from a food safety perspective, indicating associated challenges and potential for further improvements. As food systems are endangered globally by unprecedented challenges, there is an urgent need to globally harmonize pesticide regulations and improve methodologies in the area of food safety to protect human health.