Recognizing Possible Schizophrenia in the Primary Care Setting: A Brief Information Sheet

Schizophrenia occurs in about 1.1% of the population in the United States--more than 2.2 million. Over 100,000 patients will be diagnosed with schizophrenia in the United States this year. As of 2016, there is no cure for schizophrenia but the treatment success is high (over 50% completely recover or are much improved with relative independence). The cost of schizophrenia is estimated to be over $6.2 billion. Most people with schizophrenia are seen by a primary care provider before they receive referral to a mental health professional. In fact, primary care visits are six times higher in the six years before a first episode psychosis in patients with schizophrenia than in patients without schizophrenia. This frequency is not easily tracked by individual providers. More than 15 schizophrenia screening tools are available. Providing a brief education and selecting a short screening tool could quickly update primary care providers, possibly lead to earlier intervention for patients, and greatly improve the quality of life for those with schizophrenia and for their families. A Delphi review included 41 experts in the initial round, 34 in the second round, 21 in the third round, and nine in the fourth round. The fifth round was the validation of the tool and included 21 experts, although not necessarily the same experts. KEY WORDS: Schizophrenia, mental health, primary care

The Barometer

(Lt. Comdr. B.D. Cole, USN, comments on Lt. N. Clark Williams\u27 article, Decision Analysis: Toward Better Naval Management Decisions, July-August 1974.), (Lt. Comdr. Peter H. Cressy amplifies on his article, Developing an Alternative Approach to Race Relations Education: Identifying Military Middle Management Resistance, July-August 1974), and (Comdr. Warren H. Winchester, USN, comments on Lt. Comdr, Peter H. Cressy\u27s and Dr. Louis R. Desfosses\u27 article Developing an Alternative Approach to Race Relations Education, July-August 1974.

CLOVER: A modelling framework for sustainable community-scale energy systems

Sustainable Development Goal 7 aims to provide sustainable, affordable, reliable and modern energy access to all by 2030 (United Nations, 2015). In order for this goal to be achieved, sustainable energy interventions in developing countries must be supported with design tools which can evaluate the technical performance of energy systems as well as their economic and climate impacts. CLOVER (Continuous Lifetime Optimisation of Variable Electricity Resources) is a software tool for simulating and optimising community-scale energy systems, typically minigrids, to support energy access in developing countries (Winchester et al., 2022). CLOVER can be used to model electricity demand and supply at an hourly resolution, for example allowing users to investigate how an electricity system might perform at a given location. CLOVER can also identify an optimally-sized energy system to meet the needs of the community under specified constraints. For example, a user could define an optimum system as one which provides a desired level of reliability at the lowest cost of electricity. CLOVER can provide an insight into the technical performance, costs, and climate change impact of a system, and allow the user to evaluate many different scenarios to decide on the best way to provide sustainable, affordable and reliable electricity to a community. CLOVER can be used on both personal computers and high-performance computing facilities. Its design separates its general framework (code, contained in a source src directory) from user inputs (data, contained in a directory entitled locations) which are specific to their investigations. The user inputs these data via a combination of .csv and .yaml files. CLOVER’s straightforward command-line interface provides simple operation for both experienced Python users and those with little prior exposure to coding. An installable package, clover-energy, is available for users to download without needing to become familiar with GitHub’s interface. Information about CLOVER and how to use it is available on the CLOVER wiki pages

Facts from Faeces: Prey Remains in Wolf, Canis lupus, Faeces Revise Occurrence Records for Mammals of British Columbia's Coastal Archipelago

Archipelagos often harbour taxa that are endemic and vulnerable to disturbance. Conservation planning and research for these areas depend fundamentally on accurate and current taxonomic inventories. Although basic ecological information is in its infancy, the temperate rainforest islands of coastal British Columbia are undergoing rapid human-caused modification, particularly logging. We report herein new mammal records for these islands as determined by prey remains in the faeces of Wolves (Canis lupus), the area’s apex mammalian terrestrial predator. Of particular interest is our detection of Marten (Martes americana) on islands previously inventoried and island occupancy by Moose (Alces alces), which have apparently migrated recently to coastal British Columbia. Remains in faeces provided valuable new species occurrence information, but more extensive and focused inventories are required to generate predictions of island occupancy by mammals based on biotic and abiotic landscape features

Facts from Faeces: Prey Remains in Wolf, Canis lupus, Faeces Revise Occurrence Records for Mammals of British Columbia’s Coastal Archipelago

Archipelagos often harbour taxa that are endemic and vulnerable to disturbance. Conservation planning and research for these areas depend fundamentally on accurate and current taxonomic inventories. Although basic ecological information is in its infancy, the temperate rainforest islands of coastal British Columbia are undergoing rapid human-caused modification, particularly logging. We report herein new mammal records for these islands as determined by prey remains in the faeces of Wolves (Canis lupus), the area’s apex mammalian terrestrial predator. Of particular interest is our detection of Marten (Martes americana) on islands previously inventoried and island occupancy by Moose (Alces alces), which have apparently migrated recently to coastal British Columbia. Remains in faeces provided valuable new species occurrence information, but more extensive and focused inventories are required to generate predictions of island occupancy by mammals based on biotic and abiotic landscape features

Predators in Natural Fragments: Foraging Ecology of Wolves in British Columbia’s Central and North Coast Archipelago

Aim Predator–prey dynamics in fragmented areas may be influenced by spatial features of the landscape. Although little is known about these processes, an increasingly fragmented planet underscores the urgency to predict its consequences. Accordingly, our aim was to examine foraging behaviour of an apex mammalian predator, the wolf (Canis lupus), in an archipelago environment. Location Mainland and adjacent archipelago of British Columbia, Canada; a largely pristine and naturally fragmented landscape with islands of variable size and isolation. Methods We sampled 30 mainland watersheds and 29 islands for wolf faeces in summers 2000 and 2001 and identified prey remains. We examined broad geographical patterns and detailed biogeographical variables (area and isolation metrics) as they relate to prey consumed. For island data, we used Akaike Information Criteria to guide generalized linear regression model selection to predict probability of black-tailed deer (main prey; Odocoileus hemionus) in faeces. Results Black-tailed deer was the most common item in occurrence per faeces (63%) and occurrence per item (53%) indices, representing about 63% of mammalian biomass. Wolves consumed more deer on islands near the mainland (65% occurrence per item) than on the mainland (39%) and outer islands (45%), where other ungulates (mainland only) and small mammals replaced deer. On islands, the probability of detecting deer was influenced primarily by island distance to mainland (not by area or inter-landmass distance), suggesting limited recolonization by deer from source populations as a causal mechanism. Main conclusions Although sampling was limited in time, consistent patterns among islands suggest that population dynamics in isolated fragments are less stable and can result in depletion of prey. This may have important implications in understanding predator–prey communities in isolation, debate regarding wolf– deer systems and logging in temperate rain forests, and reserve design

Louisiana Children\u27s Trust Fund Annual Report 2021-2022

Child abuse and neglect is a leading factor in the staggeringly high rates of child mortality in Louisiana. In 2017, Louisiana had 44,793 total referrals for child abuse and neglect of which 19,851 were investigated (CWLA, 2019). Child abuse and neglect can have multiple detrimental effects on a child’s physical, psychological, and behavioral health. Effective prevention efforts are critical to ensuring the immediate and long-term safety and well-being of children in Louisiana. Each year, LCTF selects high-quality proposals and funds a range of prevention efforts to protect children, strengthen family well-being, and educate the public about children’s safety. Local, national, and global events have greatly impacted our communities since 2020. These events included various social, economic, political, and medical crises. Events such as the COVID-19 pandemic, led to political, social unrest and the resulting business closures have caused a great deal of instability in communities around the state. It has taken a toll on individuals’ mental health and well-being. The Child Welfare Information Gateway (2022) says that family wellbeing is an important factor in reducing the likelihood of child abuse and neglect. These events do not impact everyone equally. However, difficult times for some can be felt more severely by other, even more so for the most marginalized populations in our community. Understanding the broader context of how policies and events have impacted our communities is important. These events have caused many to examine bias, resources available for families at risk, and how communities and individuals are making decisions for their children. It has also identified barriers that prevent some children and families from seeking the opportunities and accessing the resources they need to thrive