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\"Liberalism as Utopia challenges widespread perceptions about the weakness of Mexico's nineteenth-century state. Schaefer argues that after the War of Independence non- elite Mexicans - peasants, day laborers, artisans, local merchants - pioneered an egalitarian form of legal rule by serving in the town governments and civic militias that became the local faces of the state's coercive authority. These institutions were effective because they embodied patriarchal norms of labor and care for the family that were premised on the legal equality of male, adult citizens\"-- Provided by publisher.

•The ALECM considers the complex interactions along the white matter network.•The ALECM reveals that SZ and BD require higher energy for Hetero-state transition.•The ALECM successfully induced Hetero-state transition in the patients' brains. The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions. Existing studies have primarily focused on analyzing the energy required for brain state transitions, which are driven either by the single brain region or by all brain regions. However, they often neglect the critical question of how the whole brain responds to external control inputs that are driven by control energy from multiple brain regions, which limits their application value in guiding clinical neurostimulation. In this paper, we proposed the Adaptive Local Energy Control Model (ALECM) to explore brain state transitions, which considers the complex interactions of the whole brain along the white matter network when external control inputs are applied to multiple regions. It not only quantifies the energy required for state transitions but also predicts their outcomes based on local control. Our results indicated that patients with Schizophrenia (SZ) and Bipolar Disorder (BD) required more energy to drive the brain state transitions from the pathological state to the healthy baseline state, which is defined as Hetero-state transition. Importantly, we successfully induced Hetero-state transition in the patients' brains by using the ALECM, with subnetworks or specific brain regions serving as local control sets. Eventually, the network similarity between patients and healthy subjects reached baseline levels. These offer evidence that the ALECM can effectively quantify the cost characteristics of brain state transitions, providing a theoretical foundation for accurately predicting the efficacy of electromagnetic perturbation therapies in the future.

\"A narrative history about Anthony Comstock, US Postal Inspector and vice hunter, and the remarkable women who opposed him\"-- Provided by publisher.

Background Enhancing Local Control (LC) of brain metastases is pivotal for improving overall survival, which makes the prediction of local treatment failure a crucial aspect of treatment planning. Understanding the factors that influence LC of brain metastases is imperative for optimizing treatment strategies and subsequently extending overall survival. Machine learning algorithms may help to identify factors that predict outcomes. Methods This paper systematically reviews these factors associated with LC to select candidate predictor features for a practical application of predictive modeling. A systematic literature search was conducted to identify studies in which the LC of brain metastases is assessed for adult patients. EMBASE, PubMed, Web-of-Science, and the Cochrane Database were searched up to December 24, 2020. All studies investigating the LC of brain metastases as one of the endpoints were included, regardless of primary tumor type or treatment type. We first grouped studies based on primary tumor types resulting in lung, breast, and melanoma groups. Studies that did not focus on a specific primary cancer type were grouped based on treatment types resulting in surgery, SRT, and whole-brain radiotherapy groups. For each group, significant factors associated with LC were identified and discussed. As a second project, we assessed the practical importance of selected features in predicting LC after Stereotactic Radiotherapy (SRT) with a Random Forest machine learning model. Accuracy and Area Under the Curve (AUC) of the Random Forest model, trained with the list of factors that were found to be associated with LC for the SRT treatment group, were reported. Results The systematic literature search identified 6270 unique records. After screening titles and abstracts, 410 full texts were considered, and ultimately 159 studies were included for review. Most of the studies focused on the LC of the brain metastases for a specific primary tumor type or after a specific treatment type. Higher SRT radiation dose was found to be associated with better LC in lung cancer, breast cancer, and melanoma groups. Also, a higher dose was associated with better LC in the SRT group, while higher tumor volume was associated with worse LC in this group. The Random Forest model predicted the LC of brain metastases with an accuracy of 80% and an AUC of 0.84. Conclusion This paper thoroughly examines factors associated with LC in brain metastases and highlights the translational value of our findings for selecting variables to predict LC in a sample of patients who underwent SRT. The prediction model holds great promise for clinicians, offering a valuable tool to predict personalized treatment outcomes and foresee the impact of changes in treatment characteristics such as radiation dose.

A 3-year structured exercise program after adjuvant chemotherapy for colon cancer improved disease-free and overall survival, physical functioning, and fitness, as compared with health education alone.

Among patients with endoscopically resected early gastric cancers who were infected with Helicobacter pylori , the incidence of metachronous gastric cancer was 50% lower among those who received active treatment with antibiotics than among controls.

Whether surgical axillary staging as part of breast-conserving therapy can be omitted without compromising survival has remained unclear. In this prospective, randomized, noninferiority trial, we investigated the omission of axillary surgery as compared with sentinel-lymph-node biopsy in patients with clinically node-negative invasive breast cancer staged as T1 or T2 (tumor size, ≤5 cm) who were scheduled to undergo breast-conserving surgery. We report here the per-protocol analysis of invasive disease-free survival (the primary efficacy outcome). To show the noninferiority of the omission of axillary surgery, the 5-year invasive disease-free survival rate had to be at least 85%, and the upper limit of the confidence interval for the hazard ratio for invasive disease or death had to be below 1.271. A total of 5502 eligible patients (90% with clinical T1 cancer and 79% with pathological T1 cancer) underwent randomization in a 1:4 ratio. The per-protocol population included 4858 patients; 962 were assigned to undergo treatment without axillary surgery (the surgery-omission group), and 3896 to undergo sentinel-lymph-node biopsy (the surgery group). The median follow-up was 73.6 months. The estimated 5-year invasive disease-free survival rate was 91.9% (95% confidence interval [CI], 89.9 to 93.5) among patients in the surgery-omission group and 91.7% (95% CI, 90.8 to 92.6) among patients in the surgery group, with a hazard ratio of 0.91 (95% CI, 0.73 to 1.14), which was below the prespecified noninferiority margin. The analysis of the first primary-outcome events (occurrence or recurrence of invasive disease or death from any cause), which occurred in a total of 525 patients (10.8%), showed apparent differences between the surgery-omission group and the surgery group in the incidence of axillary recurrence (1.0% vs. 0.3%) and death (1.4% vs. 2.4%). The safety analysis indicates that patients in the surgery-omission group had a lower incidence of lymphedema, greater arm mobility, and less pain with movement of the arm or shoulder than patients who underwent sentinel-lymph-node biopsy. In this trial involving patients with clinically node-negative, T1 or T2 invasive breast cancer (90% with clinical T1 cancer and 79% with pathological T1 cancer), omission of surgical axillary staging was noninferior to sentinel-lymph-node biopsy after a median follow-up of 6 years. (Funded by the German Cancer Aid; INSEMA ClinicalTrials.gov number, NCT02466737.).

When a genetic test was used to assess prognosis, women with midrange scores were found to have similar outcomes after adjuvant treatment with either endocrine therapy alone or chemotherapy plus endocrine therapy.

Programmatic, scientific, and strategic poverty There is no simple explanation for World Health Organization (WHO) surrendering its eradication aspiration in the wake of such success. Over-reliance on DDT spraying for vector control and chloroquine for therapy in the light of emergent resistance to both by 1969 and a lack of options to them due to deep neglect of basic, applied, and operational research on malaria-surely discouraged strategists, implementers, and sponsors. Science and Technology put humans on the moon in 1969 but had provided almost no options to the failing tools of malaria control, practical tools of any kind for holo-endemic Africa, and a mindset of failure for anything less than complete eradication of the plasmodia. [...]what had been highly effective methods of malaria control like vector species sanitation or other locally tailored environmental interventions7 had been almost completely abandoned by 1950 after the advent of the \"one-size-fits-all\" ease of DDT and modern synthetic antimalarial commodities8. Throughout this period of resurgence, humanity had almost no vector control will or capacities, and implemented a control strategy wholly reliant on diagnosis and treatment using microscopes and failing antimalarial drugs in use since the 1940s and 1950s9.