The potential of cost-effective UAV technology to replace costly technologies in Precision Agriculture

Abstract

The use of satellite and aerial remote sensing for agricultural applications has exponentially expanded since the past decades. One such agricultural application that is highly dependent on the use of advanced hyperspectral and multispectral remote sensing and GPS technology to boost crop harvests and viability, while reducing the number and amount of inputs, like water, fertilizer, land, and others required to grow crops, is Precision Agriculture (PA). Although PA has been credited for the increased crop yield and productivity in the United States and worldwide, its dependence on costly technologies has been a major hurdle for it to be used by small-scale farmers locally and globally. This project aims to reduce the dependence of PA on costly and complex remote sensing technologies through the use of alternate and cheaper options such as low/medium-priced Unmanned Aerial Systems (UAV), popularly known as drones, equipped with only high-resolution cameras capable of, to a certain extent, mimicking the functionalities that are offered by costly technologies. Such low-cost technology is anticipated to enhance the efficiency and profitability of the agriculture sector through the provision of easier technologies to small-scale farmers. The research project is currently being implemented on a wheat farm owned by Davis farms (Grandview, Texas). Multi-temporal (at different growing stages) UAV imageries using DJI Mavic air 3D are being acquired with the purpose of producing 3D maps for qualitative and quantitative analysis. This includes crop-health assessment through the generation of crop-health indicator indices such as the Normalized Difference Vegetation Index (NDVI). A similar analysis from high-resolution multispectral imagery of the area, acquired from commercial satellite operators, will be undertaken and the accuracy, validity, and reliability of the UAV-based PA application will be assessed.

The effects of increased population growth on Rwanda’s forest ecosystem.
Rwanda is a country in Central-East Africa and one of the smallest countries on the African continental, being only 10,169 mi²/ 26340 sq. Km. Rwanda is a landlocked country bordered by Uganda, Tanzania, Burundi, and the Democratic Republic of the Congo. The current population of Rwanda is 12,830,205 as of 2020, based on the latest United Nations data with a population density of 525 per Km2 which equates to about 1,360 people per mi2 with 17.6 % of the population living in urban centers.
Rwanda forests have historically played a very significant role in the economy and livelihoods of its population through tourism, energy, and other industrial purposes. They provide around 86% of the primary energy source mainly as domestic cooking energy. Rwanda experienced 50.9% total forest loss since 1990, in order to address this deforestation and imbalance in wood supply/demand, Rwanda has over the years taken a consistent stance on increasing the forest cover by 30% by 2020. With growing population, this case study is going to analyze how population growth in Rwanda has affected forest cover and biodiversity. The study will integrate available geospatial datasets such as census, infrastructure, and satellite imagery to assess the impact of population growth on deforestation.

Americans generate about 12.6 million kilograms of spent coffee grounds every day. 90% of that will end up in a landfill. However, this waste stream is a potential starting material that can be used for engineering purposes and to address issues like climate change and water pollution. For example, initial research has shown that charring (burning) the grounds at 350℃ improved its lead removal abilities. My research will convert spent coffee grounds to carbon-based materials by charring (burning) them at 350oC, 450oC, and 650oC to investigate how fast they can remove the lead. My research will also explore how activating the charred coffee grounds with nitric acid (HNO3) will enhance its capacity for lead removal and how the rate at which the materials can remove it.

Analysis of Deforestation in Nilgiri Biosphere Reserve
This research will focus on Nilgiri Biosphere Reserve, a mountainous region located in the Western Ghats of southern India that encompasses several major national parks. Recent developments have caused mass deforestation in the region for lumber and area for plantations. In addition, more roads are being developed connecting urban centers to Nilgiri, which is only worsening the deforestation issue. In this research, Landsat satellite images will be used to track change over time with regards to deforestation and the development of road networks to see how that impacts wildlife. Geospatial data geoprocessing tools will be used to categorize change in land use over time (the change in some land areas from forest/untouched reserve to agricultural or road). False and true color composites in addition to Normalized Difference Vegetation Index (NDVI) assessments will be undertaken to track the deforestation and differentiate between land types, since vegetation will be in a bright red, soil will be brown, and urban areas will be cyan blue to determine how much live green vegetation there is in the reserve as well.

Assessing Land Use Impact on Urban Heat Island Formation in Fort Worth

This research project will focus on assessing the impacts of human activity on the environment in Fort Worth as urbanization has increasingly taken hold over the years. Specifically, the project focuses on analyzing the change in land use in the city over a span of roughly three decades and its contributions to urban heat island formation. Landsat band data products will be used to estimate variations in land surface temperature (LST). LST calculations will highlight the factors contributing to urban heat island formation in Fort Worth.

Plant biomass represents an important component within the biogeochemical cycling of nutrients and contaminants. Transformation of this plant biomass in the environment to organic residuals is dictated primarily by interactions with micro-organisms specifically fungi. My research investigates the effects of fungal colonization of spent coffee grounds as a model for plant biomass to organic matter transformation and how this transformation impacts environmental stability and its ability to bind to contaminants. This presentation will cover; 1) physical and chemical changes in the spent coffee grounds after molding for 0,3,4,5 and 7 months, 2) how these physical changes impact the environmental degradability, and 3) how these physical and chemical changes impact the capacity to bind Gentian violet dye (as a model for organic cations).

The process of successful skin healing from a wound involves different combinations of interactions. Moreover, by clearly understanding this process, we can provide and determine the appropriate amount of medicine to give to patients with varying types of wounds. Thus, this can improve the healing process of patients. In this research, we use the ADI method to solve a partial differential equation that models wound healing and also determine the necessary parameters to achieve the stability of the ADI method. The data, which we are using, are pictures of the wounds, and the task is finding the initial conditions, that is exact boundary data from photos. We believe that Deep Learning is an excellent method to deal with this segmentation problem.

Background: A relationship exists between perception of one’s health based on weight, and how they manage their health. Normal-weight college students who physically appear healthy may unknowingly develop a chronic disease because they view good physical appearance as verification of good health.
Objective: The purpose of this study was twofold: 1) compare the perceived health status of TCU students to their actual health status; and 2) assess the health status of TCU students of normal BMI.
Design: This study was a cross-sectional, descriptive design.
Methods: Twenty-five normal-weight college students between ages 18-24 of any sex and race were recruited to complete a health perception assessment survey 24 hours prior to their lab visit. Participant’s anthropometric measurements (height, weight, body fat percentage, waist/hip circumference, and waist-hip ratio), blood pressure, fasting blood glucose (via finger prick) and a 10mL blood sample were collected. Blood was analyzed for hemoglobin A1c and a lipid panel. Self-reported survey results were compared with results obtained during the study visit to identify any discrepancies between actual and perceived health status and evaluate the overall health status of participants.
Results: Average BMI and waist-hip ratio of participants were 22.39±1.94 and 0.76±0.04, respectively. The most commonly elevated measured values were fasting blood glucose (29% prevalence), and body fat percentage, blood pressure, and LDL cholesterol (21% prevalence each). Fifty-two percent of participants presented with at least one measured value outside normal limits and 29% presented with two or more values outside normal limits. However, 92% described themselves as “very healthy”, “healthy”, or “somewhat healthy”.
Conclusion: Despite the appearance and perception of health, a significant proportion of TCU students ages 18-24 may risk developing a chronic disease. Our results suggest that regardless of self-perceived health status, TCU students should receive regular check-ups to identify and manage physiological markers of health.

Background: Intermittent fasting has become a dietary trend, as it is reportedly attributed to weight loss, maintenance of body composition, appetite control, improved sleep patterns, and disease prevention. However, current evidence-based research may not fully support these claims. There are discrepancies regarding the definition of intermittent fasting. Additionally, it is commonly confused with traditional fasting.
Objective: The objective of the study was to determine perceptions of intermittent fasting on health in college-aged students and compare to evidence-based findings. It was hypothesized that college students would have an overall positive perception of intermittent fasting based on current popularity of the diet.
Design: Cross-sectional
Methods: An online survey was developed which assessed participants’ knowledge and practice of intermittent fasting.  Participants were recruited via email and social media. Data was analyzed using SPSS. 
Results: Among study participants (N=99), 24.2% (n=22) reported currently or previously following an intermittent fasting diet. There was a positive correlation between reported intermittent fasting and weight loss (p<0.01), as well as increased energy levels (p<0.01).  The majority of participants (63.6%, n=63) defined intermittent fasting as “controlling the times throughout the day in which food/drink can be consumed.” Participants reported obtaining knowledge of intermittent fasting from internet research (50.5%, n=50), social media (46.5%, n= 46), and friends and family (42.4%, n=42).
Conclusions: Overall, participants commonly defined intermittent fasting, with knowledge coming from friends and family, social media, and the internet.  If participants had practiced intermittent fasting, the most significantly reported benefits were weight loss and increased energy levels, which may be attributed to the current study populations’ motives for diet adherence. Further research should be conducted with a more diverse subject population and include data regarding participants’ reported desired outcomes prior to starting the diet in order to determine if additional benefits can be attributed to intermittent fasting.

HOW SOCIAL MEDIA INFLUENCES DIETING AND EATING BEHAVIOR

D. Farmer,1 J. Goodrich, Rylee Lin, A. Vanbeber, PhD, RDN, LD, FAND, L. Dart,
1Department of Nutritional Sciences, Texas Christian University

Learning Outcome: To determine the influence of social media on dieting and eating behaviors among adults living in the United States.

Learning Needs Codes:
Primary:
Secondary:

Background: Social media plays a major role in influencing use of popular fad diets, and searching for diet-related information on social media is becoming more common. Research indicates that 45 million Americans go on a diet each year, and approximately half of all dieters report that their primary information source regarding special diets is the internet.

Design: Un-blinded, randomized trial approved by TCU IRB.

Methods: Participants completed an online SurveyMonkey® research questionnaire after providing informed consent. Population included 333 male (22%) and female (78%) individuals 18->45 years of age. Analyses assessed participants' history of fad dieting and outcomes, likelihood of being influenced by social media recommendations for food product brands, and/or following social media influencers promoting different diets. Data was analyzed using SPSS (P<0.05). Frequency distributions and correlations were analyzed for trends in dieting and eating behaviors and how these are influenced by social media.

Results: Age was the overriding factor in determining influence by social media among participants, with 18-22 year/olds more likely to follow a diet and/or try food product brands recommended by social media influencers (P=.01). Married and older participants vs. single younger participants were more likely to have attempted a weight loss diet but less likely to try a diet promoted by a social media influencer (P=.01). Additionally, regardless of age or marital status, there was a positive correlation between participants who dieted more frequently throughout the year and the likelihood of trying a diet promoted by social media influencers (P=.01).

Discussion/Conclusion: Social media provides registered dietitians/nutritionists with the unique opportunity to market their skills and to educate the public about evidence-based nutrition science.

The metabolic effects of capsaicin on college-aged men: a randomized, double-blind, placebo- controlled, crossover pilot study
J.E. Mertes,1 A.A. Graves,1 I. Marzan, 1 N. Andonie, 1 A.J. Graybeal, MS2, J.L. Willis, PhD, RDN, LD1
1Department of Nutritional Sciences, Texas Christian University
2Department of Kinesiology, Texas Christian University
Background
Capsaicin is the biologically active, spicy flavor profile component of chili peppers that has been recently touted as an anti-obesity agent. However, studies examining the effects of capsaicin on these markers have mixed results.
Objective
The purpose of this pilot study was to examine the effects of consuming a 14-d supply of 500mg/day or either capsaicin supplement versus placebo on: 1) basal metabolic rate (BMR); 2) blood glucose (BG); and 3) anthropometrics in college-aged men with BMI >25kg/m2.
Design
This study utilized a randomized, double-blind, placebo-controlled crossover design.
Methods
Six overweight/obese, sedentary men completed four visits (~45min/visit) over a 45-day intervention period. On visit 1, participants completed anthropometric and BMR measurements and were randomly assigned to either capsaicin or placebo. Participants were provided with a 14d supply of pills, a pill log, and dietary logs to take and complete daily for 14d. On day 15 (V#2), the same testing and measurements occurred. Participants then completed a 14-day washout period. Following the washout period, participants crossed-over and underwent the V#3 (days 30) and V#4 (days 45) where the same procedures as before were followed.
Results
From pre- to post-capsaicin supplementation, there were no significant changes in BMR (1.61±0.49 to 1.80±0.54 kcals/min, ns), BG (102.5±5.9 to 104.0±8.4mg/dL, ns), body weight (96.1±20.1 to 96.4±20.94kgs, ns), or BF% (22.2±9.2 to 22.7±8.6%, ns). Placebos showed no change in these markers (ns).
Conclusions
In overweight/obese college-aged men, supplementation with 500mg of capsaicin or placebo did not differentially affect BMR, BG or body composition. Overall, more research should ensue with a larger sample.
Funding Source: TCU SERC Grant # UG 190315

Background: Dairy-free diets have gained popularity within the United States based off of minimal scientific evidence to support the overall healthfulness of eliminating dairy. There is limited existing research as to factors that influence dairy consumption or how many people adhere to a dairy-restricted diet.
Objective: The objective of this study was to determine public perception of the healthfulness of dairy and consumption patterns. It was hypothesized that due to recent media coverage and dietary trends, dairy products have gained a negative connotation and consumption has decreased.
Methods: An online survey was created to assess participants’ perception of the healthfulness of dairy and consumption trends of dairy and dairy substitutes. Participants age 18-65 were recruited via email and social media. Data was analyzed using SPSS.
Results: Among survey participants (N=213), the majority consume dairy (91%, n=194), with 77% (n=164) stating they consume 1-2 cups daily. There was a significant correlation (p≤0.01) between whether participants consume dairy and how healthy they view dairy products. The majority of respondents believe that dairy is healthy in moderation (70.4%, n=150), though 34.3% (n=73) believe that cow’s milk is nutritionally inferior to milk alternatives. There was a significant correlation (p≤0.01) between current dairy consumption and consumption of dairy during childhood. However, 42.7% (n=91) of participants stated that their preference for dairy has decreased over the past 5 years. Of the participants who had a decreased preference for dairy, their primary reasons were due to personal research (26.3%, n=56) and media influence (15%, n=32).
Conclusions: The majority of respondents reported consumption of dairy products and perceived dairy to be healthy in moderation. However, a large number of participants’ preference for dairy has decreased in recent years due to personal research and media influence. Future research should also include comparison of consumption trends to evidence-based dietary recommendations.

Previous reports show that it is not uncommon for patients to have two viruses at the same time. At the current time, we do not know how to treat co-infections. In order to test the effects of having these concurrent infections, we simulate the two infections using a mathematical model. We use our model to simulate influenza A virus co-infected with respiratory syncytial virus and parainfluenza virus co-infected with human rhinovirus. Using the model, we can estimate the co-duration of the viruses, the individual duration, and the peak virus amount for both viruses, both with and without drug treatment of the infections to figure out the best treatment strategies for co-infections. We find that sometimes treating one infection can lead to the lengthening of the other infection.

Respiratory Syncytial Virus (RSV) is a common, contagious infection of the lungs and the respiratory tract. Syncytia are multinuclear cells that have fused together. It is so common that it effects all ages, but most people have experienced RSV by age two. Symptoms typically present similar to the common cold, with minimal effects and are easily treatable. RSV can, however, have detrimental effects on young children, the elderly, and those with compromised immune systems. As an individual infected cell can produce virus, so can syncytia cells. But, because of experimental limitations, it is difficult to measure characteristics such as viral production and lifespan of the syncytia cells. We will use mathematical models to study how different assumptions about the viral production and lifespan of syncytia change the resulting infection to determine whether less direct measurements can be used to determine syncytia viral production rates and lifespans.

Rhinovirus is the most prevalent virus in humans and is often the cause of the common cold. Modeling the dynamics of rhinovirus can allow us to observe important aspects of the virus including the general growth of the virus, the remaining target cells, the number of cells in the eclipse phase, and the number of infected cells. Following that, we can attempt to estimate parameters such as how much virus an infected cell produces or how long it takes an infected cell to start producing virus. We can use a method called Markov Chain Monte Carlo (MCMC) to try and gain more accurate estimates of those parameter based off observed data. Modeling rhinovirus will give us deeper insight into the workings of rhinovirus and allow us to try better and more accurate models of the virus.

Non-invasive temperature sensing is necessary for the analysis of biological processes occurring in the human body including cellular enzyme activity, protein expression, and ion regulation. Considering that a variety of such biological processes occur at the microscopic scale, a mechanism allowing for the detection of the temperature changes in microscopic environments is desired. Although several such techniques have been developed involving nanomaterials, there is still a need in deterministic non-invasive biocompatible approach allowing for temperature measurements both outside the cells and in the intracellular compartments. Here we develop a novel approach utilizing graphene quantum dots (GQDs) as agents for such detection. Because of their small 2-5 nm size, non-invasive optical sensitivity to temperature change and high biocompatibility, GQDs enable biologically safe sub-cellular resolution imaging. Both bottom-up synthesized nitrogen-doped graphene quantum dots and quantum dots produced from reduced graphene oxide via top-down approach in this work exhibit temperature-induced fluorescence variations used as sensing mechanism. Distinctive quenching of quantum dot fluorescence by up to 19.8 % is observed, in a temperature range from 25℃ to 49℃, in aqueous solution, while the intensity is restored to the original values as the temperature decreases back to 25℃. A similar trend is observed in vitro in HeLa cells as the cellular temperature is increased from 25℃ to 41℃. Our findings suggest that the temperature-dependent fluorescence quenching of bottom-up and top-down-synthesized graphene quantum dots can serve as non-invasive reversible deterministic mechanism for temperature sensing in microscopic sub-cellular biological environments.

Habituation occurs when responding to a stimulus decreases with repeated exposure. This decrease can be seen in an array of behaviors, including wheel running. In this experiment, rats ran in four different contexts (i.e., running wheels with different backgrounds/scents) for 30 minutes every day. One group ran in the same context daily while the other alternated between contexts. Rats running in different contexts should habituate less and run more consistently and at a higher rate. By increasing our understanding of the influence of habituation on exercise, results will have important implications for those wanting to maintain interest in an exercise routine.

Abstract SRS: Effects of Cross-Situational Generalization on Memory and Attitude Polarization Toward Social Groups

Serena Avitia, Akua Jonah, & Kaleigh Decker

When people generalize about others, they go beyond the information they are given and infer a level of cross-situational consistency that may polarize their attitudes. The current study investigates how cross-situational generalizations about a group’s traits can affect subsequent attitudes and memory. We predicted that participants who generalized about a fictitious groups behavior across various settings will rate the likelihood of cross-situational trait consistency as significantly higher than the scale mid-point, and report more negative attitudes toward the group than participants who reviewed the initial information they were given. Generalizers will also write paragraphs that more depict group members as displaying the original traits in general rather than only in the given situations, mistakenly recall and recognize some of the situations they rated as part of the initial information, and mistakenly report that their reported attitudes (after they generalized) were the same as their impressions immediately after reading the initial information. The predicted results will increase our understanding of the processes by which attitudes toward an entire group can polarize without any additional information.

In this exploratory, mixed methods project, we seek to understand how implementation of Trust-Based Relational Intervention (TBRI), a trauma-informed, evidence-based model of caregiving developed by TCU faculty, has shaped systems of care for vulnerable children and youth. The current study reports on the first year of implementation across nine child welfare organizations participating in a county-wide mental health collaborative. Data included monthly implementation process interviews conducted with representative staff of each agency [TBRI Implementation Strategy Use; n = 9 agencies], as well as survey data from a subset of agencies [TCU Survey of Organizational Functioning (SOF); n = 4 agencies]. The data sample reveals overall increases for TBRI strategy use during the first year of implementation. In addition, organizational functioning scores that were above the baseline mean of the sample yielded increased scores in strategy use. Future research suggests further analyzing the complexities of TBRI implementation across the large-scale collaborative.

Hope Connection 2.0 is a therapeutic camp developed by the Karyn Purvis Institute of Child Development (KPICD) that utilizes Trust-Based Relational Intervention® (TBRI®), a trauma-informed and attachment-based intervention, to meet the needs of adoptive families. To examine its effectiveness in meeting these needs, data from child and parent measures are collected from participating families during a one-year time period. The current study specifically examines the effectiveness of this intervention in decreasing aggression in adopted children and decreasing relational frustration between the parent and adopted children from pre- to post-camp. The results of this study indicate that both aggression and relational frustration significantly decreased after families participated in the intervention. Additionally, results suggest a significant positive correlation between aggression and relational frustration, suggesting the more a child exhibits aggression, the more relational frustration the parent(s) feels. Results of this study indicate the effectiveness of Hope Connection 2.0 in reducing aggression and frustration in adoptive families, demonstrating the potential benefit of this post-adoption intervention in meeting the needs of adoptive families. 

Institutional care can negatively impact a child's development, leading to developmental delays and emotional and behavioral problems. These issues can be treated through an attachment-based, trauma-informed intervention, such as Trust-Based Relational Intervention (TBRI). The government of Rwanda learned about the effects of institutional care and TBRI and aimed to improve its orphan care. In order to do this, they found families for every orphan and provided TBRI training for caregivers who adopted these children. In the current study, we conducted semi-structured interviews with 10 volunteers who helped train and support these caregivers. A phenomenological approach was used to analyze the interviews. Results revealed five main themes: Rwandans took ownership of the need to care for orphans; they recognized the children's need for connection; they valued the role of family in a child's life; the utilized the power of community in making TBRI use successful; and the volunteers acted as mediators in the adoptive families. This study is the first to examine TBRI use internationally, and the results demonstrate the usefulness of Rwanda's model of orphan care with TBRI implementation that could be replicable in other settings.

In academic environments, the ability to comprehend written text is critical for successful learning. In spite of the importance of this skill, few programs exist for improving comprehension, especially for typically-developing readers. Previous research demonstrated that cervical vagus nerve stimulation (cVNS) is a safe and effective method for driving neural plasticity. However, an invasive and expensive procedure is not practical for a reading intervention. Recent research has demonstrated that the auricular branch of the vagus nerve can be accessed non-invasively through transcutaneous auricular vagus nerve stimulation (taVNS) at the outer ear (Frangos, Ellrich, & Komisaruk, 2015). Recent work in our lab provides evidence that taVNS paired with training can improve novel letter-sound learning (Thakkar et al., under review). Thus, we hypothesized that pairing taVNS with reading would aid reading comprehension in typically-developing young adults. We recruited typically-developing young adult readers and verified reading ability using standard assessments. Eligible participants were randomly assigned to receive either active or sham stimulation to the posterior tragus of the left ear while reading passages and subsequently answering standard comprehension questions from the GORT-5 (Wiederholt & Bryant, 2012). Participants were scored on time spent reading, errors in reading, and comprehension. While data collection is ongoing, pilot data suggest a benefit of active stimulation on comprehension, as compared to those receiving sham stimulation. Implications of this work may suggest using taVNS as a novel intervention for reading comprehension, but further studies should extend the methods in a sample of struggling readers.

The purpose of the study was to compare the effects of three instructional conditions on emergent relations between visual stimuli. Participants were 75 college students who were randomly assigned to three groups. Participants in the standard group were trained to relate the visual stimuli they saw to text labels, referred to as tact training, prior to learning to relate pairs of text labels, referred to as intraverbal training. Participants in the reverse group received the intraverbal training before the tact training. The instructed visualization group received the same training sequence as the standard group but were given explicit instructions to visualize the images they learned during intraverbal training. The match-to-sample (MTS) testing format was used to evaluate the emergent relations between the visual stimuli. We predicted that the instructed visualization group would complete the MTS task faster and with higher accuracy than other groups because of their histories of visualizing the stimulus relations during the intraverbal training session. The results showed that the instructed visualization group had non-significantly faster reaction times during the MTS test compared to the standard and reverse groups but performed significantly more accurately (p< .001).

Title: Dyadic transfer of romantic nostalgia
Authors: Jordan Stables, Krissy Le, Julie A. Swets, & Cathy Cox

Problem: Nostalgia, a sentimental longing for the past, is associated with greater psychological outcomes, with recent work showing how nostalgia for the past of one’s romantic relationship may have benefits for the self (e.g., Mallory, Spencer, Kimmes, & Pollitt, 2018; Sedikides & Wildschut, 2018). Specifically, individuals who are more nostalgic are likely to claim higher satisfaction in their romantic partnerships. However, it is not yet known whether sharing these nostalgic thoughts can benefit the other partner and the relationship. The goal of the current study is to reveal that sharing relationship-oriented nostalgia will result in beneficial well-being effects that are comparable to those created by individual nostalgia.
Method: We recruited 146 romantic couples from a local university to participate. One member of each romantic relationship was randomly assigned either to write about a nostalgic experience they shared with their partner (relationship nostalgia), a personally nostalgic experience, or a control topic. Then they answered a variety of relationship questionnaires measuring relationship outcomes (e.g., relational self-esteem, optimism). At a later date, their partner (who was blind to their partner’s involvement in the study) read their written narrative and provided their own written response to what they read. Finally they responded to the same relationship measures. Additionally, Pennebaker, Booth, Boyd, and Francis’ (2017) Linguistic Inquiry and Word Count (LIWC) was used to content analyze the nostalgic essays based on affect, sociality, time perspective, and other pertinent themes.
Results: Analyses of variance were conducted to analyze the links between essay condition, nostalgia, and well-being outcomes. First, we found that the more nostalgic the writing partner was, the more nostalgic the reading partner was. Then using LIWC, we found that the relationship nostalgia essays were generally longer, more authentic, and included more first-person plural pronouns (e.g., we, us; demonstrating a stronger sense of interdependence in the essays). It was also found that reading a relationship-centered nostalgic narrative had a significantly positive effect on the readers’ positive mood, when compared to personally nostalgic experiences or control writings. These results also varied as a function of attachment avoidance and anxiety, which is consistent with past research (Abeyta, Routledge, Roylance, Wildschut, & Sedikides, 2015; Juhl, Sand, & Routledge, 2012).
Conclusions: This study has important implications for the analysis of shared nostalgic memories. We reveal that there are clear and immediate benefits for romantic relationships of engaging in and communicating shared nostalgia. This research also is foundational for exploring correlational and causal connections between shared romantic nostalgic reverie and its individual and relationship outcomes. Specifically, future work should explore additional mediating and moderating effects of the advantages of a shared sentiment for the past, as well as the duration of these positive effects.

Children who are adopted often experience early-life trauma, resulting in dysregulation and trauma-related emotional and behavioral problems. When these children are brought into adoptive homes, these trauma-related symptoms could negatively affect the attachment relationship by adversely impacting the parent’s perspective on the parent-child relationship. The current study examined the relationship between trauma symptoms in children who were adopted and the quality of the parent-child relationship within these families. Participants included adoptive families who were participating in a therapeutic camp intervention. The data analyzed was baseline data from a larger study prior to any intervention being done. Trauma symptoms of the adopted child, including anxiety, depression, anger, and post-traumatic stress arousal, were significantly correlated with parenting communication, confidence, and frustration. Specifically, the more trauma symptoms an adopted child exhibited, the poorer the quality of the parent-child relationship. Understanding this relationship and the bidirectional effects of trauma on adopted children and adoptive parents could result in better therapeutic interventions for families with adopted children, leading to better outcomes for both adopted children and adoptive parents.