Change Your Service Policies Based on Your Data

Texas A&M University (TAMU) Libraries' free “Get it for me” service is popular and appreciated by its students and faculty alike. Nevertheless, we noticed many items were not picked up after receipt. In the spring semester of 2016, for each item not picked up, we emailed our customers to ask why they did not come to pick up their requests. Based on the data, we made service policy changes in the summer semester of 2016. As a result we saw a decrease in not picked up rate since. This paper explains the methods we used to achieve this improved results

How we can use Twitter data to better understand weather-related depression

The weather can have a profound influence on many people’s emotional states, but until now it has been difficult to quantify these effects. The advent of social media has now made it much easier to explore the relationship between seasonality and the prevalence of depression. In new research which uses data from more than 600 million tweets over a one year period, Wei Yang, along with Lan Mu and Ye Shen find that climate risk factors for depression are different and localized, depending on the area in question. They write that using such social media data has benefits over traditional data collecting methods, and may have the potential to transform clinical practice for some diseases

2022 AAEA Annual Meeting

Using a discrete choice experiment, our study investigates consumer preferences for different levels of pesticide use in organic, integrated pest management, and Conventional production methods. An online survey of fresh tomato purchases was conducted in Missouri in the fall of 2021. Fresh tomatoes were selected because tomatoes grown using various production methods are currently being sold at farm stands, farmers\u27 markets, supermarkets, natural stores, or even online in Missouri. Tomatoes are listed in the Dirty Dozen because of threats of pesticide residue from insecticides, fungicides, and herbicides (The Environmental Working Group, 2020). We estimated WTP for one pound of tomatoes, differentiated by varying degrees of pesticide use and other attributes discussed below. The study contributes to the scarce literature on demand for sustainable production method attributes such as IPM. The WTP measures estimated in the paper also provide insight into the perceived trade-offs among product attributes. Because individual WTP values are calculated, this information can also be used to examine the characteristics of consumers interested in lower pesticide us

Visible and Ultraviolet Laser Spectroscopy of ThF

The molecular ion ThF$^+$ is the species to be used in the next generation of search for the electron's Electric Dipole Moment (eEDM) at JILA. The measurement requires creating molecular ions in the eEDM sensitive state, the rovibronic ground state $^3\Delta_1$, $v^+=0$, $J^+=1$. Survey spectroscopy of neutral ThF is required to identify an appropriate intermediate state for a Resonance Enhanced Multi-Photon Ionization (REMPI) scheme that will create ions in the required state. We perform broadband survey spectroscopy (from 13000 to 44000~cm$^{-1}$) of ThF using both Laser Induced Fluorescence (LIF) and $1+1'$ REMPI spectroscopy. We observe and assign 345 previously unreported vibronic bands of ThF. We demonstrate 30\% efficiency in the production of ThF$^+$ ions in the eEDM sensitive state using the $\Omega = 3/2$ [32.85] intermediate state. In addition, we propose a method to increase the aforementioned efficiency to $\sim$100\% by using vibrational autoionization via core-nonpenetrating Rydberg states, and discuss theoretical and experimental challenges. Finally, we also report 83 vibronic bands of an impurity species, ThO.Comment: 49 pages, 7 figure

Society or the Environment? Understanding How Consumers Evaluate Brand Messages about Corporate Social Responsibility Activities

This research examines how and why consumers evaluate brand messages about corporate social responsibility (CSR) activities differently. Insights from secondary data suggest that brands may prioritize environmental activities over social activities, and vice versa, depending on the type of company. Using a field experiment and surveys, we explore whether consumers’ attitudes toward these brand decisions follow company priorities. We find that consumers perceive brands that sell goods and communicate messages about environmental sustainability activities more positively than services companies, while consumers perceive brands that provides services and communicate messages about social sustainability activities more positively than goods companies. We show that the tangibility of the brand’s offering also impacts brand attitudes in a similar way. These findings have important implications for brand managers as they communicate CSR activities and attempt to maximize sustainability investments across various causes

More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference

Graph similarity measurement, which computes the distance/similarity between two graphs, arises in various graph-related tasks. Recent learning-based methods lack interpretability, as they directly transform interaction information between two graphs into one hidden vector and then map it to similarity. To cope with this problem, this study proposes a more interpretable end-to-end paradigm for graph similarity learning, named Similarity Computation via Maximum Common Subgraph Inference (INFMCS). Our critical insight into INFMCS is the strong correlation between similarity score and Maximum Common Subgraph (MCS). We implicitly infer MCS to obtain the normalized MCS size, with the supervision information being only the similarity score during training. To capture more global information, we also stack some vanilla transformer encoder layers with graph convolution layers and propose a novel permutation-invariant node Positional Encoding. The entire model is quite simple yet effective. Comprehensive experiments demonstrate that INFMCS consistently outperforms state-of-the-art baselines for graph-graph classification and regression tasks. Ablation experiments verify the effectiveness of the proposed computation paradigm and other components. Also, visualization and statistics of results reveal the interpretability of INFMCS

Gas kinematics and star formation in the filamentary molecular cloud G47.06+0.26

We performed a multi-wavelength study toward the filamentary cloud G47.06+0.26 to investigate the gas kinematics and star formation. We present the 12CO (J=1-0), 13CO (J=1-0) and C18O (J=1-0) observations of G47.06+0.26 obtained with the Purple Mountain Observation (PMO) 13.7 m radio telescope to investigate the detailed kinematics of the filament. The 12CO (J=1-0) and 13CO (J=1-0) emission of G47.06+0.26 appear to show a filamentary structure. The filament extends about 45 arcmin (58.1 pc) along the east-west direction. The mean width is about 6.8 pc, as traced by the 13CO (J=1-0) emission. G47.06+0.26 has a linear mass density of about 361.5 Msun/pc. The external pressure (due to neighboring bubbles and H II regions) may help preventing the filament from dispersing under the effects of turbulence. From the velocity-field map, we discern a velocity gradient perpendicular to G47.06+0.26. From the Bolocam Galactic Plane Survey (BGPS) catalog, we found nine BGPS sources in G47.06+0.26, that appear to these sources have sufficient mass to form massive stars. We obtained that the clump formation efficiency (CFE) is about 18% in the filament. Four infrared bubbles were found to be located in, and adjacent to, G47.06+0.26. Particularly, infrared bubble N98 shows a cometary structure. CO molecular gas adjacent to N98 also shows a very intense emission. H II regions associated with infrared bubbles can inject the energy to surrounding gas. We calculated the kinetic energy, ionization energy, and thermal energy of two H II regions in G47.06+0.26. From the GLIMPSE I catalog, we selected some Class I sources with an age of about 100000 yr, which are clustered along the filament. The feedback from the H II regions may cause the formation of a new generation of stars in filament G47.06+0.26.Comment: 10 pages, 11 figures, accepted for publication in A&