Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving An Early Children's Discipline Through Hypnoparenting Methods

Hypnoparenting is knowledge about educating and caring for children by controlling children's actions and emotions through a series of hypnotic suggestion activities. Objective: To examine the literature, journal, and documents of research findings that identify hypnoparenting methods for improving child discipline early on. Method: Search for research journals using certain words in the 2016-2020 period. There ware 105 research journals on child discipline and hypnoparenting methods both nationally and internationally, 46 journals meet the criteria, 59 journals did not meet the criteria, only 20 journals were selected to meet the criteria. 15 national journals and 5 international journals. Results and discussion: The reviewed literature shows that it significantly increases children's discipline early on. Statistical analysis proves that this method can increase the knowledge and actions of parents, teachers, and the community in caring for and educating children from an early age. Conclusion: Hypnoparenting method can make it easier for parents, teachers, and community to significantly improve children's discipline from an early age with positive suggestions that have been applied.
Changes in Little Cigar and Cigarillo Use during the COVID-19 Pandemic: A Cross-Sectional Analysis of a Nationally Representative Sample of Young Adult Users

We examined the smoking behaviors of U.S. young adults ages 18–36 regarding little cigars and cigarillos (LCCs) during the COVID-19 pandemic. Survey data were collected from a nationally representative sample of young adults between October and November 2020. Respondents who reported using LCCs with tobacco (CAI) and/or with marijuana (CAB) within the past 6 months prior to the survey (n = 399) were included in the study. Logistic regression analyses assessed the association between their perceived risk of having COVID when smoking LCCs and pandemic-related behavioral changes in CAI and CAB use (e.g., worrying, quit attempts, smoking more, smoking less). Findings showed that users with a higher perceived risk of getting COVID-19 when smoking LCCs were more likely to endorse trying to quit CAI and CAB during the pandemic. Compared to the non-Hispanic White population, the non-Hispanic Black population were less likely to endorse smoking less CAI and trying to quit CAB during the pandemic. Dual users of CAI and CAB and females were more likely to endorse smoking more CAB compared to CAB-only users and males, respectively. Tailored cessation strategies are needed for dual users, non-Hispanic Black young adults, and young women. Raising awareness about the risks of LCC use can be an effective strategy for LCC smoking cessation.
Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning

Nitrogen balance index (NBI) is an important indicator for scientific diagnostic and quantitative research on crop growth status. The quick and accurate assessment of NBI is necessary for farmers to make timely N management decisions. The objective of the study was to estimate winter wheat NBI based on canopy hyperspectral features between 400–1350 nm combined with machine learning (ML) methods in the individual and whole growth stages. In this study, 3 years of winter wheat plot experiments were conducted. Ground-level canopy hyperspectral reflectance and corresponding plant NBI values were measured during the jointing, booting, flowering and filling stages. Continuous removal spectra (CRS) and logarithmic transformation spectra (LOGS) were derived from the original canopy spectra. Sensitive bands and vegetation indices (VIs) highly correlated with NBI under different spectral transformations were selected as hyperspectral features to construct the NBI estimation models combined with ML algorithms. The study indicated that the spectral transformation significantly improved the correlation between the sensitive bands, VIs and the NBI. The correlation coefficient of the sensitive band in CRS in the booting stage increased by 27.87%, reaching −0.78. The leaf chlorophyll index (LCI) in LOGS had the highest correlation with NBI in the filling stage, reaching a correlation coefficient of −0.96. The NBI prediction accuracies based on the sensitive band combined with VIs were generally better than those based on the univariate hyperspectral feature, and the prediction accuracy of each growth stage was better than that of the whole growth stage. The random forest regression (RFR) method performed better than the support vector regression (SVR) and partial least squares regression (PLS) methods. The NBI estimation model based on the LOGS-RFR method in the filling stage could explain 95% of the NBI variability with relative prediction deviation (RPD) being 3.69. These results will provide a scientific basis for better nitrogen nutrition monitoring, diagnosis, and later for field management of winter wheat.
University of Birmingham Proactive and reactive processes in the medial frontal cortex

The posterior medial frontal cortex (pMFC) is known to be involved in adaptive goal-directed behavior, but its specific function is not yet clear. Most theories have proposed that the pMFC monitors performance in a reactive manner only, but it is possible that the pMFC also contributes to performance monitoring in a proactive manner. To date, the evidence for proactive pMFC activity is equivocal. Here, we investigated pMFC activity before, during and after the performance of a challenging motor task. Participants navigated a cursor through narrow and wide mazes in randomly intermixed trials. On each trial, participants saw previews of the actual maze display prior to gaining control of the cursor. Event-related potentials (ERPs) to the preview displays were compared to ERPs elicited by no-go signals and errors. Compared to the wider maze, the preview display for the more challenging narrow maze elicited a medial-frontal negativity (MFN) similar to the ERP components elicited by no-go signals and errors. Like these known ERP components, the preview-elicited MFN appeared to be generated from a source in pMFC. This is consistent with the hypothesis that the pMFC participates in adaptive behavior whenever there is a need for increased effort to maintain successful task performance.
The Comparison of Usage and Availability Measurements for The Comparison of Usage and Availability Measurements for Evaluating Resource Preference Evaluating Resource Preference

Modern ecological research often involves the comparison of the usage of habitat types or food items to the availability of those resources to the animal. Widely used methods of determining preference from measurements of usage and availability depend critically on the array of components that the researcher, often with a degree of arbitrariness, deems available to the animal. This paper proposes a new method, based on ranks of components by usage and by availability. A virtue of the rank procedure is that it provides comparable results whether a questionable component is included or excluded from consideration. Statistical tests of significance are given for the method. The paper also offers a hierarchical ordering of selection processes. This hierarchy resolves certain inconsistencies among studies of selection and is compatible with the analytic technique offered in the paper.
PPA_A_253918 1979..1990

1Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia; 2School of Pharmacy, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia; 3Department of Neurology, Hospital Kuala Lumpur, Ministry of Health, Kuala Lumpur, Malaysia; 4Medical Department, Subang Jaya Medical Center, Sunway, Malaysia Introduction: Self-efficacy is positively associated with medication understanding and use selfefficacy (MUSE) among post-stroke patients. It is also closely related to knowledge, belief, and perception, which vary among people from different socioeconomic backgrounds and cultures. As interventions using video and peer stories have emerged to be successful on behavior modification, this study aimed to explore the effectiveness of video narratives incorporated with Health Belief constructs on MUSE and its associated factors among patients with stroke at a local setting. Methods: A randomized controlled trial (RCT) for 12 months was carried out on patients diagnosed with stroke at Hospital Kuala Lumpur, Malaysia. The RCT recruited up to 216 eligible patients who were requested to return for two more follow-ups within six months. Consented patients were randomized to either standard care or intervention with video narratives. The control of potential confounding factors was ensured, as well as unbiased treatment review with prescribed medications, only obtained onsite. Results and Discussion: A repeated measure of MUSE mean score differences at T0 (baseline), T2 (6th month) and T4 (12th month) for antithrombotic, antihypertensive, and all medication categories indicated significant within and between groups differences in the intervention group (p<0.05). Moreover, this impact was reflected upon continuous blood pressure (BP) monitoring compared to the control group (F (1214) =5.23, p=0.023, ƞ2=0.024). Though BP measure differences were non-significant between the groups (p=0.552), repeated measure analysis displayed significant mean differences between intervention and control group on BP control over time (F (1.344, 287.55) =8.54, P<0.001, ƞ2=0.038). Similarly, the intervention’s positive impact was also present with similar trends for knowledge, illness perception, and the belief about medicine. Though significant differences (p<0.05) of all outcome measures gradually decreased between T2 and T4 in the intervention group; nevertheless, these positive findings confirmed that personalized video narratives were able to motivate and influence MUSE and its associated factors among post-stroke patients. The significant improvement in medication-taking self-efficacy and the sustenance of BP monitoring habits among patients in the intervention group strengthened our conceptual framework’s practicality.
Dermato-Venereology in the Nordic Countries

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Determination of the strong coupling constant α S ( m Z ) from measurements of inclusive W ± and Z boson production cross sections in proton-proton collisions at √ s = 7 and 8 TeV

Twelve measurements of inclusive cross sections of W ± and Z boson production, per-formed in proton-proton collisions at centre-of-mass energies of 7 and 8 TeV, are compared with perturbative quantum chromodynamics calculations at next-to-next-to-leading order (NNLO) accuracy obtained with the CT14, HERAPDF2.0, MMHT14, and NNPDF3.0 parton distribution functions (PDFs). Data and theory agree well for all PDF sets, taking into account the experimental and theoretical uncertainties. A novel procedure is employed to extract the strong coupling constant at the Z pole mass from a detailed comparison of all the experimental ﬁducial cross sections to the corresponding NNLO theoretical predictions, yielding α S ( m Z ) = 0.1163 + 0.0024 − 0.0031 (CT14), 0.1072 + 0.0043 − 0.0040 (HERAPDF2.0), 0.1186 ± 0.0025 (MMHT14), and 0.1147 ± 0.0023 (NNPDF3.0). Using the results obtained with the CT14 and MMHT14 PDFs, which yield the most robust and stable α S ( m Z ) extractions, a value α S ( m Z ) = 0.1175 + 0.0025 − 0.0028 is determined. Journal . ”
Novel Modulator of T Cell Activation Glutamate Released by Dendritic Cells as a

Adaptive immune responses begin after productive immunosynaptic contacts formation established in secondary lymphoid organs by dendritic cells (DC) presenting the Ag to T lymphocytes. Despite its resemblance to the neurosynapse, the participation of soluble small nonpeptidic mediators in the intercellular cross-talk taking place during T cell–DC interactions remains poorly studied. In this study, we show that human DC undergoing maturation and in contact with T cells release signiﬁcant amounts of glutamate, which is the main excitatory neurotransmitter in mammalians. The release of glutamate is nonvesicular and mediated by the DC-expressed X c (cid:1) cystine/glutamate antiporter. DC-derived glutamate stimulating the constitutively expressed metabotropic glutamate receptor 5 impairs T cell activation. However, after productive Ag presentation, metabotropic glutamate receptor 1 is expressed in T cells to mediate enhanced T cell proliferation and secretion of Th1 and proinﬂammatory cytokines. These data suggest that, during T cell–DC interaction, glutamate is a novel and highly effective regulator in the initiation of T cell-mediated immune responses. The Journal of Immunology, 2006, 177: 6695–6704.
CMAR_A_247279 2603..2612

*These authors contributed equally to this work Purpose: To compare the diagnostic performance for pathologic complete response (pCR) in breast cancer after neoadjuvant chemotherapy (NAC) between ultrasound (US) and magnetic resonance imaging (MRI). Patients and Methods: A total of 1,219 breast cancer patients with 1,232 tumors who accepted US and/or MRI examination after NAC and before breast surgery were included. The diagnostic performance of US, MRI, and US plus MRI in predicting pCR was compared. Results: The sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) of US for pCR were 36.2%, 90.2%, 71.0%, 67.3%, and 71.9%, respectively, while for MRI they were 44.4%, 92.9%, 75.6%, 77.7%, and 75.0%, respectively. The combination of US and MRI had increased specificity (98.0%) and PPV (86.8%), decreased sensitivity (22.5%) and NPV (68.8%), but similar accuracy (70.5%) in comparison with US or MRI alone. The prediction of pCR by imaging differed in different histological, molecular subtypes and primary tumor size. Conclusion: Neither US nor MRI could predict a pCR with sufficient accuracy. The combination of US and MRI could not predict a pCR reliably either. The explanation of imaging for pCR should take into account histological, molecular subtypes, and primary tumor size.
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services

Ride-sourcing services are becoming an increasingly popular transportation mode in cities all over the world. With real-time information from both drivers and passengers, the ride-sourcing platform can reduce matching frictions and improve efficiencies by surge pricing, optimal vehicle-trip assignment, and proactive ridesplitting strategies. An important foundation of these strategies is the short-term supply-demand forecasting. In this paper, we tackle the problem of predicting the short-term supply-demand gap of ride-sourcing services. In contrast to the previous studies that partitioned a city area into numerous square lattices, we partition the city area into various regular hexagon lattices, which is motivated by the fact that hexagonal segmentation has an unambiguous neighborhood definition, smaller edge-to-area ratio, and isotropy. To capture the spatio-temporal characteristics in a hexagonal manner, we propose three hexagon-based convolutional neural networks (H-CNN), both the input and output of which are numerous local hexagon maps. Moreover, a hexagon-based ensemble mechanism is developed to enhance the prediction performance. Validated by a 3-week real-world ride-sourcing dataset in Guangzhou, China, the H-CNN models are found to significantly outperform the benchmark algorithms in terms of accuracy and robustness. Our approaches can be further extended to a broad range of spatio-temporal forecasting problems in the domain of shared mobility and urban computing.
Size at Maturity, Reproductive Cycle, Fecundity, and Depth Segregation of the Deep Sea Squaloid Sharks Centroscymnus owstoni and C. coelolepis in Suruga Bay, Japan

Specimens of the deep sea sharks, Centroscymnus owstoni and C. coelolepis, were collected from Suruga Bay, Japan to examine their reproductive habits. Size at maturity for both species was about 700mm TL in males and 1000mm TL in females. Neither species has a well defined breeding season. The reproductive cycle appears to extend over one calendar year. The ratio of males to females was approximately 1:1 for C. owstoni and 1: 2 for C. coelolepis. Litter size ranged from 16 to 28 for C. owstoni and from 15 to 29 for C. coelolepis. Total number of mature ova, fertilized ova and embryos tended to increase with size of the female. Females of both species displayed a well defined pattern of depth segregation by stage of maturity. The catch depths of pregnant females for both species were shallower than those of non-pregnant ones. However, pregnant females with full-term embryos were not caught in shallow waters of Suruga Bay.
Using CFD to design riprap bed protections downstream of underflow weirs

Weirs are constructed inside rivers to manage the water level. On the one hand they need to be de­ signed sufficiently strong to prevent failure or destruction, while on the other hand they need to be economically feasible. If a structure is designed too strong, unnecessary costs are made and the struc­ ture becomes too expensive. One of the potential failure mechanisms for weirs is erosion of the soil downstream of the weir. Bed protections consisting of rock and concrete are placed to prevent this erosion. Numerical modelling can give additional insight in the design of such a bed protection. This thesis aims to improve the design of bed protections downstream of underflow weirs through numerical modelling. This is done through two research objectives, being 1) proposing a numerical modelling strategy to create a design method for riprap bed protections downstream of underflow weirs, and 2) preserving a small computation time compared to full scale 3D models, as this is ideal for a future application in engineering. A new approach is formulated by using the stability parameter of Steenstra (2014), ψRS , as basis. This parameter is based on multiple flow situations, except the underflow gate. For this reason the underflow gate is investigated in the current research. The output of the created OpenFOAM models can be applied to this parameter, leading to ψ­curves that can be compared with measured damage. The first research objective is obtained by the application of three different turbulence mixing length approaches, of which two approaches created interesting results. The first approach is the Bakhmetev approach, leading to a conservative design outcome with a gradual decreasing stability pattern. The second is the Shear Stress Relation (SSR), leading to a promising result with better defined instability regions that compare with measured bed damage. From the desire to work conservatively, the results reveal that in the design phase of a bed protection downstream of a weir, the application of the Bakhme­ tev approach for the mixing length is recommended over the SSR approach. Extended physical testing containing three aspects is needed to strengthen the promising findings of the SSR. These aspects are 1) a damage stone count including a sieve distribution, 2) a setup with varying gate heights and stone dimensions, and 3) varying water levels and discharges per different gate height and stone size. In addition a preliminary 2D numerical model study is advised, which allows to investigate the areas of interest for PIV flow measurements. The second research objective is achieved by the application of a 2D RANS model and the simpli­ fication of the water level through a rigid lid. This simplification still leads to workable results, with computation time that are in the range of two to eight hours, operating on ten cores in one computer. This makes the approach attractive for engineering applications and for future applications in renovation tasks for weirs in the Meuse.
THE NEW TUMOR SUPPRESSOR GENE INHIBITOR OF GROWTH FAMILY MEMBER 4 (ING4) REGULATES THE PRODUCTION OF PRO-ANGIOGENIC MOLECULES BY MYELOMA CELLS AND SUPPRESSES HYPOXIA INDUCIBLE FACTOR (HIF)-1 α ACTIVITY BEING INVOLVED IN MYELOMA-INDUCED ANGIOGENESIS.

Angiogenesis has a critical role in the pathophysiology of multiple myeloma (MM), however the molecular mechanisms underlying this process are not completely elucidated. The new tumor suppressor gene inhibitor of growth family member 4 (ING4) has been recently implicated in solid tumors as a repressor of angiogenesis. In this study, we found that ING4 expression in MM cells was correlated with the expression of the pro-angiogenic molecules interleukin-8 (IL-8) and osteopontin (OPN). Moreover we demonstrate that ING4 suppression in MM cells up-regulated IL-8 and OPN, increasing the hypoxia inducible factor-1 (HIF-1) α activity and its target gene NIP-3 expression in hypoxic condition. In turn, we show that the inhibition of HIF-1 α by siRNA suppressed IL-8 and OPN production by MM cells under hypoxia. A direct interaction between ING4 and the HIF prolyl hydroxylase (HPH)-2 was also demonstrated. Finally we show that ING4 suppression in MM cells significantly increased vessel formation in vitro blunted by blocking IL-8 or OPN. These in vitro observations were confirmed in vivo by finding that MM patients with high IL-8 production and microvascular density (MVD) have significantly lower ING4 levels as compared to those with low IL-8 and MVD. Our data indicate that ING4 exerts an inhibitory effect on the production of pro-angiogenic molecules and consequently on MM-induced angiogenesis.
Global Sourcing The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters

We present a North-South model of international trade in which dif- ferentiated products are developed in the North. Sectors are populated by ﬁnal-good producers who differ in productivity levels. On the basis of productivity and sectoral characteristics, ﬁrms decide whether to integrate into the production of intermediate inputs or outsource them. In either case they have to decide from which country to source the inputs. Final-good producers and their suppliers must make relationship-speciﬁc investments, both in an integrated ﬁrm and in an arm’s-length relationship. We describe an equilibrium in which ﬁrms with different productivity levels choose different ownership structures and supplier locations. We then study the effects of within- sectoral heterogeneity and variations in industry characteristics on the relative prevalence of these organizational forms.
RMHP_A_249101 1309..1318

1School of Public Health and Management, Chongqing Medical University, Chongqing, People’s Republic of China; 2Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, People’s Republic of China; 3The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, People’s Republic of China; 4Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; 5Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; 6China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health, Science Center, Xi’an, Shanxi, People’s Republic of China; 7The Second Clinical College, Chongqing Medical University, Chongqing, People’s Republic of China; 8Department of Physiology and Pharmacology, Loma Linda University School of Medicine, Loma Linda, CA, USA; 9Environmental and Occupational Health, School of Public Health, University of Nevada , Las Vegas, NV, USA; 10Chongqing Key Laboratory of Child Nutrition and Health, Children’s Hospital of Chongqing Medical University, Chongqing, People’s Republic of China