Defense Intelligence Agency

Mission-critical services (MCX) comprise a standardized suite of capabilities including Mission-Critical Push-to-Talk (MCPTT), MCVideo, and MCData, designed to meet stringent requirements for availability, reliability, latency, security, and Quality of Service (QoS). These services are essential for public safety, emergency response, and other critical infrastructure domains, where communication performance directly affects operational effectiveness. Integration into 4G and 5G mobile networks, supported by targeted standardization efforts, has extended broadband capabilities to mission-critical environments. 5G networks provide the technical foundations for MCX through ultra-low latency (below 1 ms), high availability (99.999%), broadband throughput over 100 Mbps per user, deterministic QoS via network slicing, massive device connectivity (over one million devices per square kilometer), and seamless Non-Terrestrial Network (NTN) integration. Technical enablers such as Proximity Services (ProSe), network slicing, and Ultra-Reliable Low-Latency Communications (URLLC) are fundamental to delivering these capabilities. This paper reviews MCX architectures, service frameworks, and protocols, relating MCPTT, MCData, and MCVideo to the key performance requirements defined in ITU-T M.2377-2. It also examines the frozen features of 3GPP Release 19, including enhancements to MC services, NTN integration, Reduced Capability device support, sub-meter positioning, extended network slicing for Public Protection and Disaster Relief (PPDR), and strengthened security mechanisms. Finally, the study addresses challenges such as standard maturity, interoperability, and deterministic QoS, identifying research priorities toward 6G readiness. By consolidating advances from standards bodies, research initiatives, and deployments, this work serves as a technical reference for scalable, secure, and standards-compliant MCX solutions in current and future networks.

Introduction: Smoking is a significant public health concern with well-documented adverse effects on reproductive health. The toxins in cigarette smoke disrupt hormonal balances and physiological processes essential for conception and pregnancy. This systematic review aims to comprehensively assess the impact of tobacco use on female fertility, covering both natural conception and outcomes of assisted reproductive technologies (ART). Methods: This study adhered to the PRISMA 2020 guidelines. A systematic search was conducted across PubMed, Semantic Scholar, Springer, and Google Scholar using keywords related to female fertility, smoking, and reproductive outcomes. After screening 2,346 records and assessing 949 reports for eligibility, 22 studies were included in the final analysis. Results: The evidence shows that smoking significantly impairs natural fertility by increasing the time to pregnancy and raising the risk of an infertility diagnosis (OR 1.85) and ectopic pregnancy (OR 2.02). In ART, smokers experience significantly lower live birth rates (OR 0.52), reduced clinical pregnancy rates (OR 0.59), fewer retrieved oocytes, and a substantially higher miscarriage rate (OR 2.48) compared to non-smokers. Mechanistically, smoking is consistently associated with reduced Anti-Müllerian Hormone (AMH) levels, indicating diminished ovarian reserve. A clear dose-response relationship was identified, with heavier smoking linked to more severe outcomes. Discussion: The findings confirm that tobacco use is a potent reproductive toxin that compromises nearly every stage of the reproductive process, from oocyte quality to embryo implantation and development. The damage is not easily bypassed, even with advanced medical interventions. While the harm is evident, data on the reversibility of these effects after smoking cessation remains inconclusive, highlighting a critical knowledge gap. Conclusion: The evidence is overwhelming: smoking has a profoundly negative and multifaceted impact on female fertility. It is a significant barrier to achieving a successful pregnancy, regardless of the conception method. Therefore, smoking cessation counseling must be a primary and non-negotiable component of preconception and fertility care to preserve reproductive potential and improve pregnancy outcomes.

Introduction: The management of Gestational Trophoblastic Disease (GTD) aims to achieve high long-term remission rates while preserving future fertility. Treatment protocols are stratified by risk to optimize outcomes and minimize toxicity. This systematic review synthesizes current evidence on how different treatment modalities impact remission and fertility in GTD patients. Methods: This systematic review adhered to PRISMA 2020 guidelines. Databases including PubMed, Semantic Scholar, Springer, and Google Scholar were searched using PICO-based keywords to identify relevant studies. After screening, 25 studies—including randomized controlled trials, cohort studies, and systematic reviews—were selected for data extraction and analysis on treatment protocols, remission rates, and fertility outcomes. Results: For low-risk Gestational Trophoblastic Neoplasia (GTN), single-agent chemotherapy (methotrexate or actinomycin D) achieves remission rates of 75-100%. For high-risk GTN, multi-agent regimens like EMA/CO result in remission rates between 71% and 97.7%. Immunotherapy with avelumab has shown approximately a 53% remission rate in chemo-resistant cases. Fertility preservation is a significant success, with subsequent pregnancy rates of 86.7-100% and live birth rates of 75.8-90% reported after chemotherapy. Surgical interventions such as routine second uterine curettage or hysterectomy did not demonstrate improved remission rates over chemotherapy alone. Discussion: The evidence strongly supports a risk-stratified treatment model that balances efficacy with toxicity. The choice between single agents like methotrexate and actinomycin D depends on their differing toxicity profiles. The emergence of immunotherapy has provided a crucial and effective option for patients with chemo-resistant disease, transforming the prognosis for this group. Conclusion: The treatment of GTD is highly effective, yielding excellent remission rates while safeguarding patient fertility. The standard of care relies on risk-stratified chemotherapy, with effective, evidence-based salvage therapies like immunotherapy available for resistant disease. These modern strategies ensure high cure rates and preserve quality of life, including future reproductive potential.

A Inteligência Artificial – IA pode ser definida como o estudo de agentes computacionais inteligentes que recebem percepções do ambiente e executam ações, bem como tomam decisões autônomas. Na contemporaneidade, esse mecanismo é aplicado em diversos segmentos, desde o agronegócio até os serviços relacionados à saúde. Ademais, em consonância às recentes pesquisas, a utilização da IA, em nível mundial, cresce consideravelmente. Posto isto, este estudo se configura em natureza exploratória, com auxílio de pesquisa documental, a partir do acesso à base de dados de patentes inglesa Questel Orbit Intelligence. Nesse contexto, por meio da metodologia PRISMA, identificaram-se 87.959 patentes depositadas sobre o tema, em âmbito mundial, entre os anos 2003 e 2022. Ademais, há um crescimento acentuado de depósitos de patentes de IA a partir de 2015. Notou-se, também, a China como propulsora internacional no desenvolvimento dessa tecnologia, principal nação depositante. Diante disso, constatou-se que a publicação de patentes de IA acompanha o progresso exponencial de tal tecnologia, levando em consideração os aspectos de proteção de propriedade intelectual e de segurança jurídica, o que possibilita vantagens competitivas frente aos concorrentes, obtidas por intermédio do direito à concessão de patentes.

Esta segunda versão do estudo sobre a Inteligência DWRI-'Developement of wide regions of intellectual interference', em português 'Amplas regiões de interferência intelectual desenvolvidas e inteligência determinada’, visa comprovar o conceito, com novos dados, assim como explicar que não é a intenção derrubar o conceito de múltiplas inteligências (MI), mas sim, trazer à lógica, em dual sentido, como precursora para o desenvolvimento das inteligências. O QI medido por testes determina de forma quantitativa a capacidade propulsora para o desenvolvimento das demais inteligências a depender do nível de dedicação (relação cultural, educacional e das habilidades determinadas). Testes de QI tradicionais, mais comuns, apresentam apenas vertentes com medições específicas, mas que são insuficientes no que se pode comparar com a Inteligência Global (IG), ou com a inteligência DWRI. O potencial de inteligência interfere de forma significativa na formação da personalidade e tem como precursores a genética, hereditariedade. Em contrapartida, a inteligência cognitiva só se dá por meio das sinapses, plasticidade cerebral, fatores ambientais, sociais entre outros, e na intelectualidade de determinados e amplos conhecimentos, não definindo a inteligência DWRI da pessoa ainda que fazendo o teste de inteligência comum.

Os indivíduos com Altas Habilidades/Superdotação, de acordo com a Política Nacional de Educação Especial, demonstram um alto grau de potencialidade em alguns aspectos, isolados ou combinados, relacionados à capacidade intelectual, acadêmica, criativa, social, psicomotora e/ou talento especial. Tendo isso em vista, o presente artigo buscou investigar: quais instrumentos podem ser utilizados para identificar alunos com Altas Habilidades/Superdotação no contexto escolar? Dessa forma, teve-se como objetivo investigar os tipos de instrumentos avaliativos utilizados no contexto escolar para identificar os alunos com Altas Habilidades/Superdotação. Portanto, visando um aprofundamento do tema, realizou-se uma revisão de literatura sobre o mesmo e, com base nas análises dos artigos selecionados, foi possível observar que as intervenções se mostraram eficazes na identificação de alto grau de potencialidades em alunos, porém, para uma avaliação mais precisa, é necessário considerar mais de um componente, seja por meio da observação direta do comportamento, da avaliação do desempenho, das escalas de características, dos questionários ou das entrevistas ou conversas com o aluno ou com a família, pois sabe-se que nenhum teste avalia de forma efetiva todos os aspectos da inteligência.

Abstract This article describes an ethical and effective science‐based model of interviewing. An initial planning phase assists the investigative team in separating facts from inferences, decreases the likelihood of errors based on cognitive biases, and prompts careful preparation of the environment. The interview begins with an explanation of why the subject is being questioned. The interviewer then metaphorically hands the interview over to the subject, making him the talker and the interviewer the listener. The interviewer engages in active listening, soliciting as much information from the subject as possible by deploying tactics that enhance memory based on science, including elements of the cognitive interview. Cues to deception are found in the details of the story, rather than in signs of anxiety or nonverbal behaviours, and by deploying Strategic Use of Evidence. This model has been shown to increase cooperation, decrease resistance, and provoke useful information in real‐world criminal interviews.

The Defense Intelligence Agency's Terra Harvest program, launched in 2009, is developing an open, integrated battlefield unattended ground sensors (UGS) architecture that ensures interoperability among disparate UGS components and systems. Having successfully demonstrated a Terra Harvest-compliant UGS controller at Empire Challenge 2010, the program has since developed a Terra Harvest open architecture specification and developer's guide; created a web-based forum for architecture evolution and industry collaboration; and developed an array of asset plug-ins. These software plug-ins send data to or acquire it from an asset, and then convert it into a viable payload capable of supporting intelligence-driven operations. Building on this foundation, commercial vendors are developing field-ready implementations for Trident Spectre 2012. Once fully matured, Terra Harvest will streamline acquisition processes, reduce deployment timelines, and serve users as an intelligence, surveillance, and reconnaissance (ISR) force multiplier.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

In light of the cost and complexity of Plan Colombia, this essay makes two central arguments. First, despite receiving $6.1 billion in assistance from Washington from 2000–2008, Plan Colombia has not been a particularly cost-effective framework for the United States. And second, because drug interdiction and crop eradication programs—the centerpiece of US funding—have not achieved all the desired results based on cocaine production trends, there is a need to rethink current funding priorities. If the history of bilateral cooperation in the war on drugs is any guide, the emphasis on “hard-side” elements (e.g., drug control) in dealing with the cocaine phenomenon will endure. This has important policy implications. Although the United States and Colombia agree on the desired ends for Plan Colombia, Washington's pursuit of certain objectives at the expense of others, or the improper synchronization of policy instruments, may actually hinder the sustainment of hard-fought achievements.