Bio-activities of Powders four plants against Prostephanus truncatus Horn. (Coleoptera: Bostrichidae) and Tribolium Castaneum Herbst (Coleoptera: Tenebrionidae)

The effect of the dry powders of the roots and leaves of Ocimum canum, Zanthoxylum xanthoxyloides, Moringa oleifera and Securidaca  longipedunculata on the survival of Prostephanus truncatus (Horn)  (Coleoptera: Bostrichidae) and Tribolium castaneum Herbst (Coleoptera:  Tenebrionidae) was determined in the laboratory. Generally, all the plant  materials exhibited various levels of bio efficacies, with Z. xanthoxyloides and S. longipedunculata exhibiting the highest potency. Percentage survivorship of 35% and 40% were recorded for the roots and leaves, respectively, of Z.  xanthoxyloides against T. casteeneum while 20% and 30% were recorded for roots and leaves of S. longipedunculata, respectively, against P.tuncatus

Effects of TikTok Influencers on the Purchase Intention of Gen-Z: Cosmetic Industry

This study investigates how TikTok influencers affect Generation Z's purchase intention toward the cosmetic industry in HCMC. The research issue is a lack of knowledge on how TikTok influencers affect Generation Z's buying intentions for cosmetics. The research objective is to investigate the relationships among influencers' credibility, physical attractiveness, expertise, social advocacy, customers' trust, gender, and purchase intention. The literature study emphasizes the significance of customer trust and influencer characteristics in influencing consumer intention. A questionnaire survey is used as a data gathering technique in this research employing a quantitative methodology. To analyze the data, SPSS will be used as the statistical program. Descriptive statistics will be computed to summarize the data. Multiple regression analysis will examine the relationship between influencers' characteristics and customer trust toward their purchase intention. According to the findings, all influencers' characteristics, including credibility, physical attractiveness, expertise, and social advocacy, have favorable effects on Gen Z's purchasing intention. Surprisingly, customer trust has the most influence on Gen Z behavior. It indicates that there is a difference in purchase intention for different genders. The outcomes will offer valuable insights to cosmetic industry marketers at HCMC to develop effective influencer marketing strategies for Generation Z consumers

The aggressive nature of some urban springs in Dschang and suggested corrections prior to distribution

Many sections of Dschang town do not have pipe-borne water. For domestic purposes, about 25% of households cover distances of between 500 and 1000 meters to fetch water. The aim of this study is to see the possibility to bring the spring water closer to consumers. Analysis of the water is necessary before such a venture. The physicochemical analysis of spring waters consumed revealed their softness, their low level of mineralization and their aggressive character. Previous study indicated that Escherichia coli was present in those springs with variations from one spring to another. Considering the physicochemical and biological aspects of springs, the study proposed that the water be treated with calcium carbonate in order to improve upon the total hardness, total alkalinity and to bring water to the calco-carbonic equilibrium. To disinfect the water, calcium hypochlorite was recommended as well as polyvinyl chloride for the mini distribution network. Keywords: Langelier Index, calcium carbonate softness, remineralization, calco-carbonic equilibrium, network. International Journal of Biological and Chemical Sciences Vol. 2 (2) 2008: pp. 146-15

The Outstanding Decisions of the United States Supreme Court in 1954

We perform a kinematic and morphological analysis of 44 star-forming galaxies at z ̃ 2 in the COSMOS legacy field using near-infrared spectroscopy from Keck/MOSFIRE and F160W imaging from CANDELS/3D-HST as part of the ZFIRE survey. Our sample consists of cluster and field galaxies from 2.0 < z < 2.5 with K-band multi-object slit spectroscopic measurements of their Hα emission lines. Hα rotational velocities and gas velocity dispersions are measured using the Heidelberg Emission Line Algorithm (HELA), which compares directly to simulated 3D data cubes. Using a suite of simulated emission lines, we determine that HELA reliably recovers input S 0.5 and angular momentum at small offsets, but V 2.2/σ g values are offset and highly scattered. We examine the role of regular and irregular morphology in the stellar mass kinematic scaling relations, deriving the kinematic measurement S 0.5, and finding {log}({S}0.5)=(0.38+/- 0.07){log}(M/{M}☉ -10)+(2.04+/- 0.03) with no significant offset between morphological populations and similar levels of scatter (̃0.16 dex). Additionally, we identify a correlation between M ⋆ and V 2.2/σ g for the total sample, showing an increasing level of rotation dominance with increasing M ⋆, and a high level of scatter for both regular and irregular galaxies. We estimate the specific angular momenta (j disk) of these galaxies and find a slope of 0.36 ± 0.12, shallower than predicted without mass-dependent disk growth, but this result is possibly due to measurement uncertainty at M ⋆ < 9.5 However, through a Kolmogorov-Smirnov test we find irregular galaxies to have marginally higher j disk values than regular galaxies, and high scatter at low masses in both populations

Neural upscaling from residue-level protein structure networks to atomistic structures

Coarse-graining is a powerful tool for extending the reach of dynamic models of proteins and other biological macromolecules. Topological coarse-graining, in which biomolecules or sets thereof are represented via graph structures, is a particularly useful way of obtaining highly com-pressed representations of molecular structures, and simulations operating via such representations can achieve substantial computational savings. A drawback of coarse-graining, however, is the loss of atomistic detail—an effect that is especially acute for topological representations such as protein structure networks (PSNs). Here, we introduce an approach based on a combination of machine learning and physically-guided refinement for inferring atomic coordinates from PSNs. This “neural upscaling” procedure exploits the constraints implied by PSNs on possible configurations, as well as differences in the likelihood of observing different configurations with the same PSN. Using a 1 µs atomistic molecular dynamics trajectory of Aβ1–40, we show that neural upscaling is able to effectively recapitulate detailed structural information for intrinsically disordered proteins, being particularly successful in recovering features such as transient secondary structure. These results suggest that scalable network-based models for protein structure and dynamics may be used in settings where atomistic detail is desired, with upscaling employed to impute atomic coordinates from PSNs

Out Here: A Short Film about Outdoor School in Oregon

In this thesis, I created a short film to immerse and connect, or reconnect, Oregonians to Outdoor School and its impact on youth. Outdoor School (ODS) is an experiential outdoor education program for 5th and 6th graders, that recently became funded statewide in Oregon through voters’ approval of Measure 99. Participants’ interviews and engagement in activities were filmed during a 6-day, 5-night Outdoor School program in Fall 2018. Increasing stakeholder knowledge of the Outdoor School program may help Oregonians make more informed decisions regarding Outdoor School.Key Words: Outdoor School, short film, experiential education, outdoor education, Measure 9

Solitude profiles and psychological adjustment in Chinese late adolescence: a person-centered research

Objectives: From the perspective of person-centered research, the present study aimed to identify the potential profiles of solitude among late adolescents based on their solitary behavior, motivation, attitude, and time alone. In addition, to echo the paradox of solitude, we further explored the links between solitude profiles and adjustment outcomes.Methods: The participants of the study were 355 late adolescents (56.34% female, M age = 19.71 years old) at three universities in Shanghai, China. Measures of solitary behavior, autonomous motivation for solitude, attitude toward being alone, and time spent alone were collected using adolescents' self-report assessments. The UCLA Loneliness Scale, the Beck Depression Inventory, and the Basic Psychological Needs Scales were measured as indices of adjustment.Results: Latent profile analysis revealed four distinct groups: absence of the aloneness group (21.13%), the positive motivational solitude group (29.01%), the negative motivational solitude group (38.03%), and the activity-oriented solitude group (11.83%). Differences emerged among these four groups in terms of loneliness, depressive symptoms, and basic needs satisfaction, with adolescents in the negative motivational solitude group facing the most risk of psychological maladjustment.Conclusion: Findings revealed the possible heterogeneous nature of solitude among Chinese late adolescents and provided a theoretical basis for further understanding of adolescents' solitary state

ZFOURGE: Extreme 5007A˚\AA emission may be a common early-lifetime phase for star-forming galaxies at z>2.5z > 2.5

Using the \prospector\ spectral energy distribution (SED) fitting code, we analyze the properties of 19 Extreme Emission Line Galaxies (EELGs) identified in the bluest composite SED in the \zfourge\ survey at $2.5 \leq z \leq 4$. \prospector\ includes a physical model for nebular emission and returns probability distributions for stellar mass, stellar metallicity, dust attenuation, and nonparametric star formation history (SFH). The EELGs show evidence for a starburst in the most recent 50 Myr, with the median EELG having a specific star formation rate (sSFR) of 4.6 Gyr$^{-1}$ and forming 15\% of its mass in this short time. For a sample of more typical star-forming galaxies (SFGs) at the same redshifts, the median SFG has a sSFR of 1.1 Gyr$^{-1}$ and forms only $4\%$ of its mass in the last 50 Myr. We find that virtually all of our EELGs have rising SFHs, while most of our SFGs do not. From our analysis, we hypothesize that many, if not most, star-forming galaxies at $z \geq 2.5$ undergo an extreme H$\beta$+[\hbox{{\rm O}\kern 0.1em{\sc iii}}] emission line phase early in their lifetimes. In a companion paper, we obtain spectroscopic confirmation of the EELGs as part of our {\sc MOSEL} survey. In the future, explorations of uncertainties in modeling the UV slope for galaxies at $z>2$ are needed to better constrain their properties, e.g. stellar metallicities.Comment: 11 pages, 5 figures (main figure is fig 5), accepted for publication in Ap