Private Patrolling at the Boundaries of Public Duty

In the shadow of contemporary debates over police functions, funding, and accountability, a new form of preventative policing has proliferated. Improvement districts, most commonly associated with downtown revitalization efforts, increasingly served a new purpose—crime control. Communities dissatisfied with public police services have found that they may leverage improvement district tax revenues to hire off-duty police officers to patrol their neighborhoods. This trend has not been without controversy. Critics have contended that these semiprivate, semipublic police patrols create a two-tier system of public safety, allowing wealthy residents to privately purchase powers that belong to the public as a whole. This Note critically examines improvement-district-sponsored policing through the lens of anticorruption law. It observes that while American law has long prohibited officials from privately profiting from their public powers, the historically blurry line between public and private policing has frustrated attempts to categorize the actions of off-duty police officers as pursuant to public power. Yet, many of the distinctions courts rely upon when classifying off-duty officers as private actors do not exist when those off-duty officers work on behalf of an improvement district. Consequently, this Note finds that improvement-district-sponsored policing violates state anticorruption laws by enabling off-duty officers and contracted security companies to exchange public power for private profit

Tackling Fuel Poverty in London

The challenge of economic and health inequalities caused by fuel poverty are rooted in the rise in fuel costs which have strong implications affecting the cost of living. Fuel costs and rising inflation due to economic and political reasons threaten individuals and families who are already struggling financially, putting them in/at risk of fuel poverty. The UK is one of the first countries to define the challenge of households living in fuel poverty prompting necessary actions, policies and interventions. This study presents the results of an empirical investigation following direct enquires to the Greater London Authority (GLA) and all of London boroughs via Freedom of Information (FOI) requests on retrofit interventions, including an overview of financial incentives and planning assessments with an aim to increase the number of home energy upgrades since April 2021. London adopted its own action plan in 2018 to renew its focus and alleviate more than 350,000 households in fuel poverty (GLA, 2018). The assessment and indicator for fuel poverty has changed over time, from the Low Income High Cost (LIHC) to Low Income Low Energy Efficiency (LILEE) indicator in 2021. However, identifying households in fuel poverty remains challenging and some indicators are somewhat disconnected from what is happening on the ground. The findings suggest that there is a need to establish tools and methodologies that are connected to the national and local context. Fuel poverty is affecting people’s health and well-being, particularly those already facing socio-economic and health inequalities. After the COVID pandemic, a political awareness of fuel poverty is found in the Mayoral manifesto, however the Fuel Poverty Action Plan does not have binding targets and is not regularly updated. Current Fuel Poverty Partnership Tasks are focusing on awareness and communication or the urgent support to households already affected, but not in tackling the root causes of fuel poverty in upgrading fuel poor homes. The uptake on retrofits from 2021 is still low and far from reaching 100k homes and the net zero target in 2030 is approaching fast. The study concludes that while LILEE is decreasing other indicators are increasing with rising energy prices. The London Building Stock Model is not widely used by boroughs, and it only maps the Energy Performance Certificate (EPC) rating which is not sufficient to identify households in fuel poverty. Most schemes such as Energy Companies Obligation (ECO) do not specifically target fuel poverty but have a wider scope of retrofit towards net zero. The Mayor of London should explore a new indicator tool by crossing data from LBSM with socio-economic data to identify fuel poor households more accurately. The indicator could potentially include geographical location, building typology (age, etc), socio-economic / demographics, leading to action plan and retrofit strategies

Drug design and synthesis of first in class PDZ1 targeting NHERF1 inhibitors as anticancer agents

Targeted approaches aiming at modulating NHERF1 activity, rather than its overall expression, would be preferred to preserve the normal functions of this versatile protein. We focused our attention on the NHERF1/PDZ1 domain that governs its membrane recruitment/displacement through a transient phosphorylation switch. We herein report the design and synthesis of novel NHERF1 PDZ1 domain inhibitors. These compounds have potential therapeutic value when used in combination with antagonists of β-catenin to augment apoptotic death of colorectal cancer cells refractory to currently available Wnt/β-catenin-targeted agents

e-Health solution for home patient telemonitoring in early post-acute TIA/Minor stroke during COVID-19 pandemic

Background: When it comes to critical early post-acute TIA/stroke phase, there is a lack of a comprehensive multi-parametric telemonitoring system. The COVID-19 emergency, its related global mobility restrictions and fear of hospitalization further highlighted the need of a comprehensive solution. Objective: We aimed to design and test a pragmatic e-Health system based on multiparametric telemonitoring to support of TIA/stroke patients in sub-acute phase during the COVID-19 pandemic. Methods: We proposed a telemonitoring system and protocol for TIA/minor stroke patients during COVID-19 pandemic for patients at risk of stroke recurrence. This system involves the use of portable devices for BP/HR/SpO2/temperature sensing, panic-button, gateway, and a dedicated ICT platform. The protocol is a 14-day multiparametric telemonitoring, therapy, and emergency intervention based on vital sign alteration notifications. We conducted a proof-of-concept validation test on 8 TIA/minor stroke patients in the early post-acute phase (< 14 days from ischemic event). Results: The proposed solution allowed to promptly and remotely identify vital sign alterations at home during the early post-acute phase, allowing therapy and behavioral intervention adjustments. Also, we observed a significant improvement of quality of life, as well as a significant reduction of anxiety and depression status. TUQ showed ease of use, good interface quality and high user satisfaction of the proposed solution. The 3-month follow-up showed total adherence of prescribed therapy and no stroke/TIA recurrence or other emergency department admissions. Conclusion: The proposed e-Health solution and telemonitoring protocol may be highly useful for early post-acute remote patient management, thus supporting constant monitoring and patient adherence to the treatment pathway, especially during the COVID-19 emergency

Wake-up Stroke Outcome Prediction by Interpretable Decision Tree Model

Outcome prediction in wake-up ischemic stroke (WUS) is important for guiding treatment strategies, in order to improve recovery and minimize disability. We aimed at producing an interpretable model to predict a good outcome (NIHSS 7-day<5) in thrombolysis treated WUS patients by using Classification and Regression Tree (CART) method. The study encompassed 104 WUS patients and we used a dataset consisting of demographic, clinical and neuroimaging features. The model was produced by CART with Gini split criterion and evaluated by using 5-fold cross-validation. The produced decision tree model was based on NIHSS at admission, ischemic core volume and age features. The predictive accuracy of model was 86.5% and the AUC-ROC was 0.88. In conclusion, in this preliminary study we identified interpretable model based on clinical and neuroimaging features to predict clinical outcome in thrombolysis treated wake-up stroke patients

Prediction and evaluation of resting energy expenditure in a large group of obese outpatients

The aim of this study was to compare resting energy expenditure (REE) measured (MREE) by indirect calorimetry (IC) and REE predicted (PREE) from established predictive equations in a large sample of obese Caucasian adults

Whole-exome analysis in osteosarcoma to identify a personalized therapy

Osteosarcoma is the most common pediatric primary non-hematopoietic bone tumor. Survival of these young patients is related to the response to chemotherapy and development of metastases. Despite many advances in cancer research, chemotherapy regimens for osteosarcoma are still based on non-selective cytotoxic drugs. It is essential to investigate new specific molecular therapies for osteosarcoma to increase the survival rate of these patients. We performed exomic sequence analyses of 8 diagnostic biopsies of patients with conventional high grade osteosarcoma to advance our understanding of their genetic underpinnings and to correlate the genetic alteration with the clinical and pathological features of each patient to identify a personalized therapy. We identified 18,275 somatic variations in 8,247 genes and we found three mutated genes in 7/8 (87%) samples (KIF1B, NEB and KMT2C). KMT2C showed the highest number of variations; it is an important component of a histone H3 lysine 4 methyltransferase complex and it is one of the histone modifiers previously implicated in carcinogenesis, never studied in osteosarcoma. Moreover, we found a group of 15 genes that showed variations only in patients that did not respond to therapy and developed metastasis and some of these genes are involved in carcinogenesis and tumor progression in other tumors. These data could offer the opportunity to get a key molecular target to identify possible new strategies for early diagnosis and new therapeutic approaches for osteosarcoma and to provide a tailored treatment for each patient based on their genetic profile

Lightning risk warnings based on atmospheric electric field measurements in Brazil

This paper presents a methodology that employs the electrostatic field variations caused by thundercloud formation or displacement to generate lightning warnings over a region of interest in Southeastern Brazil. These warnings can be used to prevent accidents during hazardous operations, such as the manufacturing, loading, and test of motor-rockets. In these cases, certain equipment may be moved into covered facilities and personnel are required to take shelter. It is also possible to avoid the threat of natural and triggered lightning to launches. The atmospheric electric field database, including the summer seasons of 2007/2008 and 2008/2009 (from November to February), and, for the same period and region, the cloud-to-ground lightning data provided by the Brazilian lightning detection network – BrasilDAT – were used in order to perform a comparative analysis between the lightning warnings and the cloud-to- ground lightning strikes that effectively occurred inside the area of concern. The analysis was done for three areas surrounding the sensor installation defined as circles with 5, 10 and 15 km of radius to determine the most effective detection range. For each area it was done using several critical electric field thresholds: +/- 0.5; +/- 0.8; +/- 0.9; +/- 1.0; +/- 1.2; and +/- 1.5 kV/m. As a result of the reduction of atmospheric electric field data provided by the sensor installed in area of concern and lightning provided by BrasilDAT, it was possible, for each of the areas of alert proposals, to obtain the following parameters: the number of effective alarms; the number of false alarms; and the number of failure to warning. From the analysis of these parameters, it was possible to conclude that, apparently, the most interesting critical electric field threshold to be used is the level of 0.9 kV/m in association with a distance range of 10 km around the point where the sensor is installed