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The textbook Immanuel Kant assigned for his course on Naturrecht was Gottfried Achenwall’s Natural Law. In the Feyerabend transcript of his course (1784), Kant not only explains Achenwall’s text but also criticizes him and expounds his own alternative theory. Since it is not always obvious from the lecture notes whether Kant is explaining Achenwall, criticizing him, or presenting his own theory, one must know the basics about Achenwall’s positions when reading Kant’s Feyerabend lectures. In this essay, we introduce Achenwall and his handbook to readers of Kant’s Feyerabend lectures. We start with some background information and then discuss Achenwall’s position on freedom and obligation, natural law and right, and his theory of property and the state. We end by pointing out a few of the main points of disagreement between Kant and Achenwall that emerge from the Feyerabend lectures.
Healthcare-prescribed opioids are a known contributor to the opioid epidemic. Locally, there was an identified opportunity to improve opioid prescribing practices in cardiac surgical patients. The cardiac surgical team sought to standardise prescribing practices in postoperative patients and reduce opioid prescriptions at discharge. The improvement was undertaken at a large midwestern freestanding children’s hospital with over 400 beds and 120 cardiac surgeries annually. A multidisciplinary team was formed, using the model for Improvement to guide the improvement work. The key improvement interventions included standardised evidence-based prescribing guidelines based patient age and surgical approach, enhanced pain management with non-opioid medications, and integration of prescribing guidelines into the electronic health record. The primary outcome measure was rate of compliance with the prescribing guidelines and secondary measures included morphine equivalent dosing at discharge, opioid-free discharge, and length of stay. A balancing measure of opioid re-prescriptions was tracked. There were 289 patients included in the primary study period (January 2019 through December 2021). Sustainability of key outcomes was tracked though December 2022. The guideline compliance increased from 24% to 100%. The morphine equivalent dosing decreased to 22.5 in 2021 then 0 in 2022, from baseline of 36.25 in 2019. Opioid-free discharges decreased from 8% (2019) to 1.5% (2021) and 0% in 2022. Establishment and compliance with standardised guidelines for post-operative cardiac surgical pain management yielded a reduction in morphine equivalent dosing, an increase opioid-free discharges, and no increase in length of stay or opioid re-prescriptions.
The best prehospital transport strategy for patients with suspected stroke due to possible large vessel occlusion varies by jurisdiction and available resources. A foundational problem is the lack of a definitive diagnosis at the scene. Rural stroke presentations provide the most problematic triage destination decision-making. In Alberta, Canada, the implementation and 5-year experience with a rural field consultation approach to provide service to rural patients with acute stroke is described.
Methods:
The protocols established through the rural field consultation system and the subsequent transport patterns for suspected stroke patients during the first 5 years of implementation are presented. Outcomes are reported using home time and data are summarized using descriptive statistics.
Results:
From April 2017 to March 2022, 721 patients met the definition for a rural field consultation, and 601 patients were included in the analysis. Most patients (n = 541, 90%) were transported by ground ambulance. Intravenous thrombolysis was provided for 65 (10.8%) of patients, and 106 (17.6%) underwent endovascular thrombectomy. The median time from first medical contact to arterial access was 3.2 h (range 1.3–7.6) in the direct transfers, compared to 6.5 h (range 4.6–7.9) in patients arriving indirectly to the comprehensive stroke center (CSC). Only a small proportion of patients (n = 5, 0.8%) were routed suboptimally to a primary stroke center and then to a CSC where they underwent endovascular therapy.
Conclusions:
The rural field consultation system was associated with shortened delays to recanalization and demonstrated that it is feasible to improve access to acute stroke care for rural patients.
Paediatric ventricular assist device patients, including those with single ventricle anatomy, are increasingly managed outside of the ICU. We used retrospective chart review of our single centre experience to quantify adverse event rates and ICU readmissions for 22 complex paediatric patients on ventricular assist device support (15 two ventricles, 7 single ventricle) after floor transfer. The median age was 1.65 years. The majority utilised the Berlin EXCOR (17, 77.3%). There were 9 ICU readmissions with median length of stay of 2 days. Adverse events were noted in 9 patients (41%), with infection being most common (1.8 events per patient year). There were no deaths. Single ventricle patients had a higher proportion of ICU readmission and adverse events. ICU readmission rates were low, and adverse event rates were comparable to published rates suggesting ventricular assist device patients can be safely managed on the floor.
DNA databases are useful tools for improving public safety. While past research examines the effects of national- or state-level databases, little is known about the distinct benefits of a local, District Attorney-run DNA database. Two key advantages of a local database are that (i) more local criminals submit a sample as part of a plea agreement (submission is not restricted to certain crimes and mandatory) and (ii) response times for identifying reoffenders from DNA evidence are shorter. This report performs a retrospective benefit–cost analysis on the Orange County District Attorney’s DNA database. The analysis is run on administrative records that provide costs, entries into the DNA database, and matches that occur between samples taken from a crime scene and individual profiles in the database. We also estimate the deterrence effect of entry into the database with defendant-case-level data. We find that, for every dollar spent on operating the database over the last 10 years, $1.71 is saved due to the estimated reduction in future offenses.
Negative symptoms are a key feature of several psychiatric disorders. Difficulty identifying common neurobiological mechanisms that cut across diagnostic boundaries might result from equifinality (i.e., multiple mechanistic pathways to the same clinical profile), both within and across disorders. This study used a data-driven approach to identify unique subgroups of participants with distinct reward processing profiles to determine which profiles predicted negative symptoms.
Methods
Participants were a transdiagnostic sample of youth from a multisite study of psychosis risk, including 110 individuals at clinical high-risk for psychosis (CHR; meeting psychosis-risk syndrome criteria), 88 help-seeking participants who failed to meet CHR criteria and/or who presented with other psychiatric diagnoses, and a reference group of 66 healthy controls. Participants completed clinical interviews and behavioral tasks assessing four reward processing constructs indexed by the RDoC Positive Valence Systems: hedonic reactivity, reinforcement learning, value representation, and effort–cost computation.
Results
k-means cluster analysis of clinical participants identified three subgroups with distinct reward processing profiles, primarily characterized by: a value representation deficit (54%), a generalized reward processing deficit (17%), and a hedonic reactivity deficit (29%). Clusters did not differ in rates of clinical group membership or psychiatric diagnoses. Elevated negative symptoms were only present in the generalized deficit cluster, which also displayed greater functional impairment and higher psychosis conversion probability scores.
Conclusions
Contrary to the equifinality hypothesis, results suggested one global reward processing deficit pathway to negative symptoms independent of diagnostic classification. Assessment of reward processing profiles may have utility for individualized clinical prediction and treatment.
Anxiety disorders and treatment-resistant major depressive disorder (TRD) are often comorbid. Studies suggest ketamine has anxiolytic and antidepressant properties.
Aims
To investigate if subcutaneous racemic ketamine, delivered twice weekly for 4 weeks, reduces anxiety in people with TRD.
Method
The Ketamine for Adult Depression Study was a multisite 4-week randomised, double-blind, active (midazolam)-controlled trial. The study initially used fixed low dose ketamine (0.5 mg/kg, cohort 1), before protocol revision to flexible, response-guided dosing (0.5–0.9 mg/kg, cohort 2). This secondary analysis assessed anxiety using the Hamilton Anxiety (HAM-A) scale (primary measure) and ‘inner tension’ item 3 of the Montgomery–Åsberg Depression Rating Scale (MADRS), at baseline, 4 weeks (end treatment) and 4 weeks after treatment end. Analyses of change in anxiety between ketamine and midazolam groups included all participants who received at least one treatment (n = 174), with a mixed effects repeated measures model used to assess the primary anxiety measure. The trial was registered at www.anzctr.org.au (ACTRN12616001096448).
Results
In cohort 1 (n = 68) the reduction in HAM-A score was not statistically significant: −1.4 (95% CI [−8.6, 3.2], P = 0.37), whereas a significant reduction was seen for cohort 2 (n = 106) of −4.0 (95% CI [−10.6, −1.9], P = 0.0058), favouring ketamine over midazolam. These effects were mediated by total MADRS and were not maintained at 4 weeks after treatment end. MADRS item 3 was also significantly reduced in cohort 2 (P = 0.026) but not cohort 1 (P = 0.96).
Conclusion
Ketamine reduces anxiety in people with TRD when administered subcutaneously in adequate doses.
This Editorial explores organizational travel risk management and advocates for a comprehensive approach to fortify health security for travelers, emphasizing proactive risk management, robust assessments, and strategic planning. Leveraging insights from very important persons (VIP) protocols, organizations can enhance duty of care and ensure personnel safety amidst global travel complexities.
Auditory system plasticity is a promising target for neuromodulation, cognitive rehabilitation and therapeutic development in schizophrenia (SZ). Auditory-based targeted cognitive training (TCT) is a ‘bottom up’ intervention designed to enhance the speed and accuracy of auditory information processing, which has been shown to improve neurocognition in certain SZ patients. However, the dynamics of TCT learning as a function of training exercises and their impact on neurocognitive functioning and therapeutic outcomes are unknown.
Methods
Forty subjects (SZ, n = 21; healthy subjects (HS), n = 19) underwent comprehensive clinical, cognitive, and auditory assessments, including measurements of auditory processing speed (APS) at baseline and after 1-h of TCT. SZ patients additionally completed 30-hours of TCT and repeated assessments ~10–12 weeks later.
Results
SZ patients were deficient in APS at baseline (d = 0.96, p < 0.005) relative to HS. After 1-h of TCT, analyses revealed significant main effects of diagnosis (d = 1.75, p = 0.002) and time (d = 1.04, p < 0.001), and a diagnosis × time interaction (d = 0.85, p = 0.02) on APS. APS learning effects were robust after 1-h in SZ patients (d = 1.47, p < 0.001) and persisted throughout the 30-h of training. Baseline APS was associated with verbal learning gains after 30-h of TCT (r = 0.51, p = 0.02) in SZ.
Conclusions
TCT learning metrics may have prognostic utility and aid in the prospective identification of individuals likely to benefit from TCT. Future experimental medicine studies may advance predictive algorithms that enhance TCT-related clinical, cognitive and functional outcomes.
Now in its third edition, this textbook is a comprehensive introduction to the multidisciplinary field of mobile robotics, which lies at the intersection of artificial intelligence, computational vision, and traditional robotics. Written for advanced undergraduates and graduate students in computer science and engineering, the book covers algorithms for a range of strategies for locomotion, sensing, and reasoning. The new edition includes recent advances in robotics and intelligent machines, including coverage of human-robot interaction, robot ethics, and the application of advanced AI techniques to end-to-end robot control and specific computational tasks. This book also provides support for a number of algorithms using ROS 2, and includes a review of critical mathematical material and an extensive list of sample problems. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies.
Ever since we began to build software systems that interacted with humans, there have ethical concerns about the ways in which we interact with them. In [830], for example, Weizenbaum observes of the world’s first chatterbot that “ELIZA shows, if nothing else, how easy it is to create and maintain the illusion of understanding, hence perhaps of judgment deserving of credibility. A certain danger lurks there.”2 Fast forward more than 60 years, and this observation that a “certain danger lurks there” has emerged as a range of different concerns about the ways in which software (and hardware) systems are developed and deployed, and the range of data that modern data-driven systems rely upon. The space of machine ethics is vast, and a large number of texts, papers, and policy documents now exist on the subject.
Sensing is a key requirement for any but the simplest mobile behavior. In order for Robot to be able to warn the crew of Lost in Space that there is danger ahead, it must be able to sense and reason about its sensor responses. Sensing is a critical component of the fundamental tasks of pose estimation – determining where the robot is in its environment; pose maintenance – maintaining an ongoing estimate of the robot’s pose; and map construction – building a representation of the robot’s environment.
Robotic systems, and in particular mobile robotic systems, are the embodiment of a set of complex computational processes, mechanical systems, sensors, user interface, and communications infrastructure. The problems inherent in integrating these components into a working robot can be very challenging. Overall system control requires an approach that can properly handle the complexity of the system goals while dealing with poorly defined tasks and the existence of unplanned and unexpected events. This task is complicated by the non-standard nature of much robotic equipment. Often the hardware seems to have been built following a philosophy of “ease of design” rather that with an eye toward assisting with later system integration.
We aim to analyze the efficacy and safety of TMS on cognition in mild cognitive impairment (MCI), Alzheimer’s disease (AD), AD-related dementias, and nondementia conditions with comorbid cognitive impairment.
Design:
Systematic review, Meta-Analysis
Setting:
We searched MEDLINE, Embase, Cochrane database, APA PsycINFO, Web of Science, and Scopus from January 1, 2000, to February 9, 2023.
Participants and interventions:
RCTs, open-label, and case series studies reporting cognitive outcomes following TMS intervention were included.
Measurement:
Cognitive and safety outcomes were measured. Cochrane Risk of Bias for RCTs and MINORS (Methodological Index for Non-Randomized Studies) criteria were used to evaluate study quality. This study was registered with PROSPERO (CRD42022326423).
Results:
The systematic review included 143 studies (n = 5,800 participants) worldwide, encompassing 94 RCTs, 43 open-label prospective, 3 open-label retrospective, and 3 case series. The meta-analysis included 25 RCTs in MCI and AD. Collectively, these studies provide evidence of improved global and specific cognitive measures with TMS across diagnostic groups. Only 2 studies (among 143) reported 4 adverse events of seizures: 3 were deemed TMS unrelated and another resolved with coil repositioning. Meta-analysis showed large effect sizes on global cognition (Mini-Mental State Examination (SMD = 0.80 [0.26, 1.33], p = 0.003), Montreal Cognitive Assessment (SMD = 0.85 [0.26, 1.44], p = 0.005), Alzheimer’s Disease Assessment Scale–Cognitive Subscale (SMD = −0.96 [−1.32, −0.60], p < 0.001)) in MCI and AD, although with significant heterogeneity.
Conclusion:
The reviewed studies provide favorable evidence of improved cognition with TMS across all groups with cognitive impairment. TMS was safe and well tolerated with infrequent serious adverse events.
The ability to navigate purposefully through its environment is fundamental to most animals and to every intelligent organism. In this book we examine the computational issues specific to the creation of machines that move intelligently in their environment. From the earliest modern speculation regarding the creation of autonomous robots, it was recognized that regardless of the mechanisms used to move the robot around or the methods used to sense the environment, the computational principles that govern the robot are of paramount importance. As Powell and Donovan discovered in Isaac Asimov’s story “Runaround,” subtle definitions within the programs that control a robot can lead to significant changes in the robot’s overall behavior or action. Moreover, interactions among multiple complex components can lead to large-scale emergent behaviors that may be hard to predict.
Later chapters consider the algorithms and representations that make these capabilities possible, while this chapter concentrates on the underlying hardware, with special emphasis on locomotion for wheeled robots.