Is the Propensity to Emit Alarm Calls Associated with Health Status in Yellow-Bellied Marmots, Marmota flaviventer?

The production and structure of animal signals may depend on an individual’s health status and may provide more than one type of information to receivers. While alarm calls are not typically viewed as health condition dependent, recent studies have suggested that their structure, and possibly their propensity to be emitted, depends on an individual’s health condition and state. We asked whether the propensity of yellow-bellied marmots (Marmota flaviventer) to emit calls is influenced by their immunological or parasite status, by quantifying both trap-elicited and natural calling rates as a function of their neutrophil to lymphocyte (NL) ratio, the presence of a blood borne trypanosome, and the presence of several intestinal parasites (Eimeria sp., Entamoeba sp., and Ascaris sp.). We fitted mixed effects models to determine if the health measures we collected were associated with the probability of calling in a trap and with annual rates of natural alarm calling. Marmots infected with a blood-borne trypanosome were marginally more likely to call naturally and when trapped, while those infected with the intestinal parasite Ascaris were less likely to call when trapped. NL ratio was not directly associated with in-trap calling probability, but males were more likely to call when they had higher NL ratios. Thus, health conditions, such as parasite infection and immune system activation, can modulate the production of alarm signals and potentially provide information to both predators and prey about the caller’s condition. Playback experiments are required to confirm if receivers use such information

Zika Virus: Infectious Process and Public Health Response

The Zika virus has become a growing concern as a global pandemic. Since being identified in Uganda in 1947, the virus has spread around the world, recently emerging in South America with a great impact on Brazil. As of 2016, Zika has made its appearance in the United States and is now actively being transmitted in Florida. The virus is a mosquito-vectored flavivirus primarily transmitted by the Aedes mosquito which infects a human through biting. Transmission through sexual intercourse is also possible as well as transmission from a pregnant woman to her fetus. This latter form of transmission presents the primary problem with the Zika virus; transmission to the fetus can cause microcephaly as well as other brain and developmental problems. Proper precautions should be taken based on these identified modes of transmission. Symptoms of Zika are similar to flu-like symptoms, such as low-grade fever, muscle pain and headache. About 20 percent of patients that come in contact with the Zika virus will originally present as asymptomatic and will not display symptoms until almost two weeks after initial contact with the virus. Zika virus can remain in the blood for about a week, but can remain in the semen for months. There are a number of methods used to detect the Zika virus—urine, blood or semen samples may be used to assess if a patient is infected

Complete genome sequence of Liberibacter crescens BT-1

Liberibacter crescens BT-1, a Gram-negative, rod-shaped bacterial isolate, was previously recovered from mountain papaya to gain insight on Huanglongbing (HLB) and Zebra Chip (ZC) diseases. The genome of BT-1 was sequenced at the Interdisciplinary Center for Biotechnology Research (ICBR) at the University of Florida. A finished assembly and annotation yielded one chromosome with a length of 1,504,659 bp and a G+C content of 35.4%. Comparison to other species in the Liberibacter genus, L. crescens has many more genes in thiamine and essential amino acid biosynthesis. This likely explains why L. crescens BT-1 is culturable while the known Liberibacter strains have not yet been cultured. Similar to Candidatus L. asiaticus psy62, the L. crescens BT-1 genome contains two prophage regions

How to Carry Out Bathymetric and Elevation Surveys on a Tight Budget: Basic Surveying Techniques for Sustainabilty Scientists

Sustainability scientists often face a difficult task to conduct research or carry out preliminary investigations around coastal areas in developing countries, due to the limitation in the availability of topographical and bathymetry data. These limitations can be particularly important for the case of ports, on which the livelihoods of many fishing communities depend on. Often, cost is cited as a reason regarding the absence of any such data. However, in the present technical note the authors highlight how existing “low-level” surveying methods can be inexpensive and allow sustainability scientists to conduct a reasonably accurate survey for less than 1,000 USD, provided that researchers possess a reasonable knowledge of mathematics and geometry (high-school equivalent)

Environmental geologic atlas of the Texas coastal zone : Brownsville-Harlingen area

UT Librarie

State and Agriculture in Africa: A Case of Means and Ends

SUMMARY This article examines the argument that the problems of implementing the development programmes of African governments arise from the political necessity to maintain power. In response to this, it is argued that the success and failure of policies, the distortive effects of sectional interests and the necessity to use particular methods to maintain power are determined by a wider context, that of the state as a whole, and its social role in creating and sustaining the institutions — political and economic — which regulate relations between the citizens of African states. SOMMAIRE Cet article examine l'argument selon lequel les problèmes de mìse en oeuvre et de développement des programmes des gouvernements africains, proviennent de la nécessité politique de maintenir le pouvoir. En réponse à cela, il est argumenté que le succès et l'échec des politiques, les effets de distorsíon des intérêts sectoriels et la nécessité d'utiliser des méthodes particulières pour maintenir le pouvoir, sont déterminés par un contexte plus large celui de l'état, et son rôle social de créer et de soutenir les institutions — politiques et économiques — qui régissent les relations entre les citoyens des états africains. RESUMEN Este articulo examina el argumento de que los problema de los gobiernos africanos para implementar programas de desarrollo, surge de la necesidad política de mantener el poder. En respuesta a esto, se arguye que los exitos y fracasos de la políticas, los efectos distorsionadores de intereses contrapuestos y la necesidad de usar métodos especiales para mantener el poder, están determinados por un contexto mas amplio que consiste en el estado como un todo y en su rol social en la creación y mantención de las instituciones — políticas y económicas — que regulan las relaciones entre los ciudadanos de los estados africanos

Early stressful experiences are associated with reduced neural responses to naturalistic emotional and social content in children

How do children’s experiences relate to their naturalistic emotional and social processing? Because children can struggle with tasks in the scanner, we collected fMRI data while 4-to-11-year-olds watched a short film with positive and negative emotional events, and rich parent-child interactions (n = 70). We captured broad, normative stressful experiences by examining socioeconomic status (SES) and stressful life events, as well as children’s more proximal experiences with their parents. For a sub-sample (n = 30), parenting behaviors were measured during a parent-child interaction, consisting of a picture book, a challenging puzzle, and free play with novel toys. We characterized positive parenting behaviors (e.g., warmth, praise) and negative parenting behaviors (e.g., harsh tone, physical control). We found that higher SES was related to greater activity in medial orbitofrontal cortex during parent-child interaction movie events. Negative parenting behaviors were associated with less activation of the ventral tegmental area and cerebellum during positive emotional events. In a region-of-interest analysis, we found that stressful life events and negative parenting behaviors were associated with less activation of the amygdala during positive emotional events. These exploratory results demonstrate the promise of using movie fMRI to study how early experiences may shape emotional, social, and motivational processes

From Business Model to Business Modelling: Modularity and Manipulation

The concept of modularity has gained considerable traction in technology studies as a way to conceive, describe and innovate complex systems, such as product design or organizational structures. In the recent literature, technological modularity has often been intertwined with business model innovation, and scholarship has started investigating how modularity in technology affects changes in business models, both at the cognitive and activity system levels. Yet we still lack a theoretical definition of what modularity is in the business model domain. Business model innovation also encompasses different possibilities of modeling businesses, which are not clearly understood nor classified. We ask when, how and if modularity theory can be extended to business models in order to enable effective and efficient modeling. We distinguish theoretically between modularity for technology and for business models, and investigate the key processes of modularization and manipulation. We introduce the basic operations of business modeling via modular operators adapted from the technological modularity domain, using iconic examples to develop an analogical reasoning between modularity in technology and in business models. Finally, we discuss opportunities for using modularity theory to foster the understanding of business models and modeling, and develop a challenging research agenda for future investigations

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams

A final exam in machine learning at a top institution such as MIT, Harvard, or Cornell typically takes faculty days to write, and students hours to solve. We demonstrate that large language models pass machine learning finals at a human level, on finals available online after the models were trained, and automatically generate new human-quality final exam questions in seconds. Previous work has developed program synthesis and few-shot learning methods to solve university-level problem set questions in mathematics and STEM courses. In this work, we develop and compare methods that solve final exams, which differ from problem sets in several ways: the questions are longer, have multiple parts, are more complicated, and span a broader set of topics. We curate a dataset and benchmark of questions from machine learning final exams available online and code for answering these questions and generating new questions. We show how to generate new questions from other questions and course notes. For reproducibility and future research on this final exam benchmark, we use automatic checkers for multiple-choice, numeric, and questions with expression answers. We perform ablation studies comparing zero-shot learning with few-shot learning and chain-of-thought prompting using GPT-3, OPT, Codex, and ChatGPT across machine learning topics and find that few-shot learning methods perform best. We highlight the transformative potential of language models to streamline the writing and solution of large-scale assessments, significantly reducing the workload from human days to mere machine seconds. Our results suggest that rather than banning large language models such as ChatGPT in class, instructors should teach students to harness them by asking students meta-questions about correctness, completeness, and originality of the responses generated, encouraging critical thinking in academic studies.Comment: 9 page