Examining the Complexities of Partnership Administration: Insight into the Programmatic Capacity of the USDA Forest Service

Abstract Partnerships significantly augment the capacity of the USDA Forest Service to care for its lands and serve people using those lands. As part of the agency’s recreation program, partners perform diverse services such as trail building, interpretive programming, grant writing, monitoring, and general maintenance. However, the increasingly formal nature of agency partnerships has added administrative complexity to relationships that were once solidified by handshakes. This paper explores the programmatic capacity of recreation partnerships using data from a multi-phased study conducted with agency personnel. The study found that dedicated leadership cultivates vibrant partnership programs. However, agency personnel expressed concern for declining programmatic capacity due to staff turnover, job compression, and outsourcing. Strategies for building programmatic capacity are discussed, including formalizing work with partnerships as an accountable job duty. As reliance on agency partnerships are predicted to increase, the implications section addresses the specific administrative challenges of partnering

Central Serous Chorioretinopathy after Solar Eclipse Viewing

Purpose: To report a case of central serous chorioretinopathy after solar eclipse viewing. Case Report: A middle-age man developed a sudden-onset unilateral scotoma after viewing a partial solar eclipse in Hong Kong. Fundus examination, fluorescein angiography, and optical coherence tomography showed features compatible with central serous chorioretinopathy. The patient was managed conservatively and reevaluated periodically. Serial optical coherence tomographic evaluations demonstrated an initial increase in the amount of subretinal fluid which spontaneously resolved 10 weeks after the onset of symptoms. Conclusion: This case demonstrates the possibility of development of central serous chorioretinopathy following solar eclipse viewing

NRC Health: Loyalty Insights

One of the biggest concerns of health systems is to know how they can better serve their patients. Health systems seek to exceed patient expectations and inspire patients to return to their system for all their health needs. A patient who returns can be considered loyal to that health system. NRC Health collects patient data from over 9,000 health systems across the country. This allows it to provide data insights that inform health systems’ decisions. The ultimate goal is to increase patient loyalty for health systems by helping them understand how to serve their patients better. The team was tasked with using data analytics to find insights about patient movement between health systems. The model shows a health system’s patient retention as well as the top health systems to which patients are switching. NRC Health can then use the underlying data to identify possible causes for the switching behavior. Through this model, NRC Health hopes to provide health systems with a better sense of how their patient retention compares to the market, estimate revenue loss due to switching behavior, and suggest ways to improve the patient experience

The Effect of an 8-Minute Yoga Breathing Program on Fitness, Weight Loss and Breathing Capacity

This was a single blinded randomized study with an intervention group and a control group to examine a modification in lifestyle and an 8-minute exercise session each day to lose weight. Fifty-seven female subjects participated. Subjects underwent girth measurements at the umbilicus, hips, thigh and upper arm; weight, height (for BMI), body fat, heart rate, blood pressure, abdominal strength, leg strength, arm strength, sedentary O2 saturation, treadmill challenged O2 saturation, resting metabolism (which includes fat metabolism), and lung capacity. Measures were repeated at baseline and the end of the 6-week period. During the 6-week period, they followed a healthy recommended diet with high volumes of vegetables and fruit and 8 minutes of exercise each day. In the investigational group, the average weight loss was 4.85 KG over the 6-week period, BMI was reduced 1.79 at the end of the 6 weeks, a significant loss (p\u3c0.01). Body fat in this group was reduced by 5.87 percent, the average girth at the showed an average loss in circumference of 5.9 cm over the 6-week period. For the hip, the average loss in circumference was 6.28 cm, for the thigh the average loss in circumference in the investigational group was 5.0 cm, and for the upper arm reduced girth by 2.61 cm. For strength for the investigational group, for the abdominals the increase was 11.3 Kg, for the leg it was 6.0 kg and for the arm it was 4.8 kg. All of these increases were significant (p\u3c0.01). The basal metabolic rate, in the investigational group after the 6 weeks increased to 31.1 cc/kg lean body mass. The fat burning doubled in the investigational group. In conclusion, subjects slept better, had high oxygen saturation and better strength and excellent weight and fat loss with this program

Textbooks Are All You Need II: phi-1.5 technical report

We continue the investigation into the power of smaller Transformer-based language models as initiated by \textbf{TinyStories} -- a 10 million parameter model that can produce coherent English -- and the follow-up work on \textbf{phi-1}, a 1.3 billion parameter model with Python coding performance close to the state-of-the-art. The latter work proposed to use existing Large Language Models (LLMs) to generate ``textbook quality" data as a way to enhance the learning process compared to traditional web data. We follow the ``Textbooks Are All You Need" approach, focusing this time on common sense reasoning in natural language, and create a new 1.3 billion parameter model named \textbf{phi-1.5}, with performance on natural language tasks comparable to models 5x larger, and surpassing most non-frontier LLMs on more complex reasoning tasks such as grade-school mathematics and basic coding. More generally, \textbf{phi-1.5} exhibits many of the traits of much larger LLMs, both good -- such as the ability to ``think step by step" or perform some rudimentary in-context learning -- and bad, including hallucinations and the potential for toxic and biased generations -- encouragingly though, we are seeing improvement on that front thanks to the absence of web data. We open-source \textbf{phi-1.5} to promote further research on these urgent topics

ChatGPT and Bard Responses to Polarizing Questions

Recent developments in natural language processing have demonstrated the potential of large language models (LLMs) to improve a range of educational and learning outcomes. Of recent chatbots based on LLMs, ChatGPT and Bard have made it clear that artificial intelligence (AI) technology will have significant implications on the way we obtain and search for information. However, these tools sometimes produce text that is convincing, but often incorrect, known as hallucinations. As such, their use can distort scientific facts and spread misinformation. To counter polarizing responses on these tools, it is critical to provide an overview of such responses so stakeholders can determine which topics tend to produce more contentious responses -- key to developing targeted regulatory policy and interventions. In addition, there currently exists no annotated dataset of ChatGPT and Bard responses around possibly polarizing topics, central to the above aims. We address the indicated issues through the following contribution: Focusing on highly polarizing topics in the US, we created and described a dataset of ChatGPT and Bard responses. Broadly, our results indicated a left-leaning bias for both ChatGPT and Bard, with Bard more likely to provide responses around polarizing topics. Bard seemed to have fewer guardrails around controversial topics, and appeared more willing to provide comprehensive, and somewhat human-like responses. Bard may thus be more likely abused by malicious actors. Stakeholders may utilize our findings to mitigate misinformative and/or polarizing responses from LLM

A 277 year cool season dam inflow reconstruction for Tasmania, southeastern Australia

Seasonal variability is a significant source of uncertainty in projected changes to precipitation across southeastern Australia (SEA). While existing instrumental records provide seasonal data for recent decades, most proxy records (e.g., tree rings, corals, speleothems) offer only annual reconstructions of hydroclimate. We present the first cool-season (July–August) reconstruction of dam inflow (Lake Burbury) for western Tasmania in SEA based on tree-ring width (Athrotaxis selaginoides) and mean latewood cell wall thickness (Phyllocladus aspleniifolius) chronologies. The reconstruction, produced using principal component regression, verifies back to 1731 and is moderately skillful, explaining around 23% of the variance. According to the reconstruction, relatively low inflow periods occurred around 1860, the early 1900s and 1970, while relatively high inflows occurred in the 1770s and 1810s. Highest reconstructed inflows occurred in 1816, and lowest in 1909. Comparison with available documentary and instrumental records indicates that the reconstruction better captures high rather than low flow events. There is virtually no correlation between our reconstruction and another for December–January inflow for the same catchment, a result consistent with the relationship between seasonal instrumental data. This suggests that conditions in one season have not generally reflected conditions in the other season over the instrumental record, or for the past 277 years. This illustrates the value of obtaining reconstructions of regional hydroclimatic variability for multiple individual seasons in regions where dry and wet seasons are not strongly defined. The results also indicate that the hydroclimate of the southeastern Australian region cannot be adequately represented by a single regional reconstruction

A Tribute to the Mind, Methodology and Mentoring of Wayne Velicer

Wayne Velicer is remembered for a mind where mathematical concepts and calculations intrigued him, behavioral science beckoned him, and people fascinated him. Born in Green Bay, Wisconsin on March 4, 1944, he was raised on a farm, although early influences extended far beyond that beginning. His Mathematics BS and Psychology minor at Wisconsin State University in Oshkosh, and his PhD in Quantitative Psychology from Purdue led him to a fruitful and far-reaching career. He was honored several times as a high-impact author, was a renowned scholar in quantitative and health psychology, and had more than 300 scholarly publications and 54,000+ citations of his work, advancing the arenas of quantitative methodology and behavioral health. In his methodological work, Velicer sought out ways to measure, synthesize, categorize, and assess people and constructs across behaviors and time, largely through principal components analysis, time series, and cluster analysis. Further, he and several colleagues developed a method called Testing Theory-based Quantitative Predictions, successfully applied to predicting outcomes and effect sizes in smoking cessation, diet behavior, and sun protection, with the potential for wider applications. With $60,000,000 in external funding, Velicer also helped engage a large cadre of students and other colleagues to study methodological models for a myriad of health behaviors in a widely applied Transtheoretical Model of Change. Unwittingly, he has engendered indelible memories and gratitude to all who crossed his path. Although Wayne Velicer left this world on October 15, 2017 after battling an aggressive cancer, he is still very present among us

Complete Genome Sequences of Chop, DelRio, and GrandSlam, Three Gordonia Phages Isolated from Soil in Central Arkansas

Chop, DelRio, and GrandSlam are phage with a Siphoviridae morphotype isolated from soil in Arkansas using the host Gordonia terrae 3612. All three are temperate, and their genomes share at least 96% nucleotide identity. These phage are assigned to cluster DI based on gene content similarity to other sequenced actinobacteriophage