System Interaction(시스템 상호 작용)란 무엇입니까?
System Interaction 시스템 상호 작용 - We do not know how genomic processes (including regulatory and epigenetic processes), evolutionary change, ecosystem interactions, and other higher order processes will affect traits, fitness, and impacts of edited organisms in nature. [1] The Semiotic Inspection Method Mediated by Screen Readers (SIM-SR) emerged as a method based on the Semiotic Inspection Method (SIM), considering the particularities of using screen reader software to mediate the user-system interaction. [2] ABSTRACT Quantitative modelling plays an important role as biology increasingly deals with big data sets, relies on modelling to understand system dynamics, makes predictions about impacts of changes, and revises our understanding of system interactions. [3] We designed a set of moderately complex search tasks and used two popular personal assistants to evaluate the user‐system interaction. [4] A linear viscoelastic model of the "pipe-soil" system interaction is considered. [5] This significantly distinguishes the species as an element of BD among other interpretations, especially of the phyletic type, in which the species is determined not through ecosystem interactions with sympatric species, but through sister taxa. [6] This paper presents Healthcare Chatbot using Artificial Intelligence that can make a human-system interaction to resolve basic queries regarding health parameters before consulting a doctor. [7] The complete system analysis of a phenomenon of intersystem interaction between systems “family” and “educational institution” is carried out. [8] In this article, for the first time, a new mathematical model of the schemes for organizing a session of person–system interactions between the registration center server of the information system for critical use (ISCU) and the terminal of the person-user in a wireless communication environment are presented. [9] Understanding this landscape scale is vital to our understanding of specific kinds of ecosystem interactions and, therefore, any potential land use conflicts caused by the divergent needs and preferences of stakeholders across a landscape. [10] The authors studied the intrasystem interactions between these parameters and the inter- and intrapersonal emotional competencies. [11] The date and time of system interactions were recorded for six participants with SCI over seven days (5 males/1 female, 5 manual users/1 power user, 55. [12] it will give a clear understanding of the manipulator and its subsystem interactions. [13] –ecosystem interactions. [14] One source of complexity in such systems is due to the intra-system interactions and inter-dependencies. [15] The findings indicate different types of ecosystem interactions, considering the influence of the context, technology, and innovation as well as the historical trajectories and Habitus that characterize them. [16] The analysis results showed that: i) power systems in New York are the most vulnerable infrastructure to CID, and particularly to wind-related hazards; ii) power system performance level depends on hazard-system interactions rather than solely hazard characteristics; and iii) a 4-predictors random forest-based model can effectively predict power system performance with an accuracy of 89%. [17] Symmetry-adapted perturbation theory-based energy decomposition analysis (SAPT-EDA) announced that the π-hole···π-system interactions were governed by the dispersion forces, whereas the π-hole···Lewis base interactions were dominated by the electrostatic terms. [18] Recent trends in power system design, such as an increasing share of renewable energy sources and integration of power electronics equipment for medium-voltage applications, are creating different subsystem interactions that require proper investigation, understanding, description, and estimation of global system stability through impedance–admittance measurements and identification. [19] The diversity encompasses food, medicinal, and nutraceutical species, which are present; their cultivation and ecosystem interactions facilitate ecosystem range. [20] A higher level of within-system interactions did not lead to better farm economic, environmental, and social performances. [21]게놈 과정(규제 및 후성 유전 과정 포함), 진화적 변화, 생태계 상호 작용 및 기타 고차 과정이 자연에서 편집된 유기체의 특성, 적합성 및 영향에 어떻게 영향을 미칠지 모릅니다. [1] 스크린 리더에 의해 중재된 기호 검사 방법(SIM-SR)은 사용자 시스템 상호 작용을 중재하기 위해 스크린 리더 소프트웨어를 사용하는 특수성을 고려하여 기호 검사 방법(SIM)에 기반한 방법으로 등장했습니다. [2] 요약 생물학이 점점 더 큰 데이터 세트를 다루고, 시스템 역학을 이해하기 위해 모델링에 의존하고, 변화의 영향에 대해 예측하고, 시스템 상호 작용에 대한 이해를 수정함에 따라 정량적 모델링은 중요한 역할을 합니다. [3] 우리는 적당히 복잡한 검색 작업 세트를 설계하고 두 가지 인기 있는 개인 비서를 사용하여 사용자 시스템 상호 작용을 평가했습니다. [4] "파이프-토양" 시스템 상호작용의 선형 점탄성 모델이 고려됩니다. [5] 이것은 다른 해석 중에서 BD의 요소로서 종을 크게 구별합니다. 특히 계통 유형의 종은 동종 종과의 생태계 상호 작용을 통해서가 아니라 자매 분류군을 통해 결정됩니다. [6] 이 논문은 의사와 상담하기 전에 건강 매개변수에 대한 기본적인 질문을 해결하기 위해 인간-시스템 상호 작용을 할 수 있는 인공 지능을 사용하는 헬스케어 챗봇을 제시합니다. [7] 시스템 "가족"과 "교육 기관" 간의 시스템 상호 작용 현상에 대한 완전한 시스템 분석이 수행됩니다. [8] 이 기사에서 처음으로 ISCU(Information System for Critical Use)의 등록 센터 서버와 개인 사용자의 터미널 사이의 개인 시스템 상호 작용 세션을 구성하기 위한 체계의 새로운 수학적 모델을 소개합니다. 무선 통신 환경을 제시합니다. [9] 이 경관 규모를 이해하는 것은 특정 종류의 생태계 상호작용을 이해하는 데 필수적이며, 따라서 경관 전반에 걸쳐 이해 관계자의 다양한 요구와 선호로 인해 발생할 수 있는 잠재적인 토지 사용 갈등을 이해하는 데 중요합니다. [10] 저자는 이러한 매개변수와 개인 간 및 개인 내 감정 능력 간의 시스템 내 상호 작용을 연구했습니다. [11] 시스템 상호 작용의 날짜와 시간은 7일 동안 SCI를 가진 6명의 참가자(남성 5명/여성 1명, 수동 사용자 5명/파워 사용자 1명, 55명)에 대해 기록되었습니다. [12] 조작자와 하위 시스템 상호 작용에 대한 명확한 이해를 제공합니다. [13] – 생태계 상호 작용. [14] 이러한 시스템의 복잡성 원인 중 하나는 시스템 내 상호 작용 및 상호 의존성 때문입니다. [15] 연구 결과는 다양한 유형의 생태계 상호 작용을 나타냅니다. 컨텍스트, 기술 및 혁신의 영향을 고려할 뿐만 아니라 역사적 궤적과 해비투스 그것들을 특징짓는 것. [16] 분석 결과는 다음을 보여주었습니다. i) 뉴욕의 전력 시스템은 CID, 특히 바람 관련 위험에 가장 취약한 기반 시설입니다. ii) 전력 시스템 성능 수준은 단독 위험 특성보다는 위험 시스템 상호 작용에 따라 달라집니다. iii) 4-예측자 랜덤 포레스트 기반 모델은 89%의 정확도로 전력 시스템 성능을 효과적으로 예측할 수 있습니다. [17] 대칭 적응 섭동 이론 기반 에너지 분해 분석(SAPT-EDA)은 π-구멍···π-시스템 상호작용이 분산력에 의해 지배되는 반면, π-구멍···루이스 염기 상호작용은 정전기 용어. [18] 재생 에너지원의 비중 증가 및 고압 애플리케이션용 전력 전자 장비의 통합과 같은 전력 시스템 설계의 최근 경향은 임피던스를 통한 글로벌 시스템 안정성에 대한 적절한 조사, 이해, 설명 및 추정이 필요한 다양한 하위 시스템 상호 작용을 생성하고 있습니다. -어드미턴스 측정 및 식별. [19] 다양성은 존재하는 식품, 의약 및 기능 식품 종을 포함합니다. 그들의 재배 및 생태계 상호 작용은 생태계 범위를 촉진합니다. [20] 더 높은 수준의 시스템 내 상호 작용은 더 나은 농장 경제, 환경 및 사회적 성과로 이어지지 않았습니다. [21]
Immune System Interaction 면역 체계 상호 작용
Multiple components of the tumor and host immune system interaction are under epigenetic regulation, including the cancer cells themselves, cytotoxic T lymphocytes, regulatory T lymphocytes, natural killer cells, and tumor-associated macrophages. [1] Additionally, the desire to evaluate preclinical antitumor efficacy in human-derived tumor cells led to the widespread application of immunodeficient mouse models that likely contributed to the neglect of nanomedicines-immune system interactions. [2] This review will discuss the contemporary status on human microbiome immune system interactions and their potential effects on health, immune homeostasis and allograft transplantation. [3] This suggests that phages may impact bacterial-host immune system interactions not only by killing the pathogens, but also by altering host responses elicited by the conserved bacterial virulence factor, OMVs. [4] First we consider a tumor-immune system interaction model with a single delay and present results on the existence and local stability of equilibria as well as the existence of Hopf bifurcation in the model when the delay varies. [5] TIMER (Tumor Immune Estimation Resource), TISIDB (Tumor and Immune System Interaction DataBase) and CIBERSORT (Cell type Identification By Estimating Relative Subsets Of RNA Transcripts) were used to explore the immune microenvironment. [6] Here, Lee and colleagues summarize cancer stem cell (CSC) origin and plasticity, CSC–immune system interactions and the effects of the microenvironmental niche on cancer stemness in HCC. [7] Nevertheless, a complete understanding of the signaling pathways regarding adjuvants and immune system interaction, biocompatibility, biodegradability, and toxicity of the adjuvants is needed. [8] Then, the cancer immunogram features of EGFR-mutated NSCLC was depicted to visualize the state of cancer-immune system interactions, including tumor foreignness, tumor sensitivity to immune effectors, metabolism, general immune status, immune cell infiltration, cytokines and soluble molecules. [9] The glioma tumor microenvironment (TME), composed of several noncancerous cells and biomolecules is known for its complexity of cancer-immune system interaction. [10] It is challenging to identify the tumor-immune system interactions that modulate immune states and immunotherapy responses due to the prohibitively complex space of possible interactions. [11] We investigate a mathematical model of tumor–immune system interactions with oncolytic virus therapy (OVT). [12] Purpose of review This article reviews the current literature regarding the pathogenesis of immune-mediated sensorineural hearing loss, utilizes previously published single-nucleus transcriptional profiles to characterize cytokine and cytokine receptor expression in the adult stria vascularis cell types to support immune system interaction with the stria vascularis and reviews the current literature on immunomodulatory agents currently being used for hearing-restoration treatment. [13] Additional factors, such as obesity and diseases (NAFLD, gastrointestinal malignancies or cancer, bacterial and viral infections), which are associated with variability in omega-3 PUFA metabolism, can influence omega-3 PUFAs–microbiome–immune system interactions in the intestinal tract and also play roles in regulating gut immunity. [14] The relationship between LIMK1 mRNA expression and immune infiltrates was determined by tumor immune estimation resource (TIMER) and tumor-immune system interaction database (TISIDB). [15] Virus and host innate immune system interaction plays a significant role in forming the outcome of viral diseases. [16] The correlation between DUSP12 expression and tumor-infiltrating immune cells was demonstrated using the Tumor Immune Estimation Resource database and the Tumor and Immune System Interaction Database. [17] Data from the Tumor Immune Estimation Resource, Tumor-Immune System Interaction Database and Kaplan-Meier plotter indicated that ATP6AP1 expression correlated with immune infiltration, and that its prognostic effects in BC depended on tumor-infiltrating immune cell subtype levels. [18] Background: There are many studies to investigate the effects of each interacting component of tumor-immune system interactions. [19] HEK-Spike can also provide different host immune system interaction profiles based on known immune system active lectins. [20] Correlative studies will examine the tumour-immune system interaction; an exploratory PET substudy with novel tracers for durvalumab (89Zr-Durvalumab) & CD8+ T cells (89Zr -Df-IAB22M2C) will also be performed. [21] Correlation between immunomodulators and immune cells was determined based on the Tumor and Immune System Interaction Database (TISIDB). [22] Using the Tumor Immune Estimation Resource tool and Tumor-Immune System Interaction Database, a potential relationship between B3GNT3 expression and immune cell infiltration was identified in pancreatic carcinoma. [23] The immunoediting hypothesis has articulated this role, describing three phases of the tumor-immune system interaction: Elimination, Equilibrium, and Escape wherein tumors progress from active immunologic surveillance and destruction through dynamic immunologic stasis to unfettered growth. [24] The innate and adaptive immune system interactions with nanomaterials are still under investigation and full of mysteries. [25] Relevant clinical findings may also be explored experimentally using advanced 3D cellular models of human cancer–immune system interactions, which are under intensive development. [26] The association between TBK1 and HCC immune infiltrates, and its potential mechanism were investigated via analyses of the Tumor Immune Estimation Resource, tumor-immune system interactions database (TISIDB), CIBERSORT, STRING, and Metascape. [27] How do disseminated tumor cells evade immune surveillance? In this context, tumor/immune system interactions play a key role and are the subject of intense scrutiny. [28] Finally, we discuss current evidence on brain–immune system interaction through the autonomic nervous system after ischemic stroke. [29] On this basis, the Tumor and Immune System Interaction Database (TISIDB) was used to identify the potential association between RR genes and B cell infiltration. [30] The model combines an individual-based model for describing tumor-immune system interactions with a set of ordinary differential equations for adenosine modeling. [31] Finally, TISIDB database was used to investigate the role of CDKN1A in tumor-immune system interactions in GBM. [32] From the pathways identified, PTSD profiles were the most highly correlated with COVID-19, perhaps consistent with stress-immune system interactions seen in PTSD. [33] We underline the importance of better disentangling the whole machinery between brain-immune system interactions to better address the complexity of social processes. [34] Moreover, TISIDB and GEPIA databases were used to investigate the different expression of EC and normal tissues, and explore the roles of C1q in tumor-immune system interactions in EC. [35] acnes such as colonization resistance, immune system interactions, and oxidant protection, and discuss the molecular mechanisms behind these effects. [36] Mechanistic analyses of gut microbiota–immune system interactions reveal powerful effects on antitumor immunity by modulating primary and secondary lymphoid tissue activities. [37] Scientists have invested considerable resources in the study of the microbiota of the human body These microorganisms play pivotal roles in immunity and disease Of which, probiotics are live beneficial microorganisms that keep your intestinal or lung microbiota healthy, and occupy a special role in combating the infections Thus, it is critical to understand their contributions to these processes Technology can facilitate advanced studies of the microbiota, including how it develops and its positive and negatives effects on the immune system This paper investigates how several factors (e g birth delivery mode, metabolic activities, types of microorganisms, and immune system interactions) affect the microbiota, particularly in early life The paper also discusses how gastrointestinal microbes in particular may be associated with certain disease processes, such as those related to schizophrenia, autism, and diabetes Clinical studies show that certain probiotic strains, like Lactobacillus rhamnosus GG and Bifidobacterium animalis ssp lactis help to prevent infection of pathogenic organisms (both bacterial and viral) This research may yield crucial contributions to disease prevention and public health The dysbiosis may result in changes in the acquired immunity later on The probiotic strains can prevent viral replication during SARS-CoV-2 or COVID-19 infection by reducing proinflammatory cytokines There has been much interest into the intestinal flora as proposed by the diversity, volume, and proposed role in disease Future research in the field of microbiome should be done in order to uncover their association to gut virome by noting both their influence on each other and relevant health and disease [ABSTRACT FROM AUTHOR] Copyright of Journal of Pure & Applied Microbiology is the property of Dr M N Khan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all s ). [38] APOBEC mutagenesis as a driver of tumor evolution by promoting tumor recurrence and modulating tumor-immune system interactions in a syngeneic murine model of breast cancer [abstract]. [39] We further observed that, the processes affecting the tumor-immune system interaction influence the dynamics variably at different stages of the disease. [40] Can the variable clinical phenotype of selective IgA deficiency be explained by gut microbiome/immune system interactions? Peyton Conrey, along with co-first authors Lidiya Denu and Kaitlin O’Boyle, as part of a collaboration between Dr. [41] As an awareness of SLE manifestations in the central nervous system has increased, mechanistic insights have also increased due to sophisticated studies of animal models, improved neuroimaging techniques, and a growing awareness of brain–immune system interactions. [42] Moreover, the cellular and molecular signaling pathways underlying the sex hormones-immune system interactions as potential culprits for vascular inflammation are highlighted with detailed and critical discussion. [43] The processes and mechanisms of virus infection fate decisions that are the result of a dynamic virus-immune system interaction with either an efficient effector response and virus elimination or an alleviated immune response and chronic infection are poorly understood. [44] CONCLUSIONS This study sheds new light on molecular pathogenic mechanisms of oral dysbiotic communities and indicates that the regulation of LPS chemical structure is an important mechanism that drives oral bacteria-host immune system interactions into either a symbiotic or pathogenic relationship. [45] In particular, mathematical models of tumor-immune system interactions have demonstrated promising results in prediction of different behaviors of tumor against the immune system. [46]암 세포 자체, 세포독성 T 림프구, 조절 T 림프구, 자연 살해 세포 및 종양 관련 대식세포를 포함하여 종양 및 숙주 면역계 상호작용의 여러 구성요소가 후성 유전학적 조절 하에 있습니다. [1] 또한, 인간 유래 종양 세포에서 전임상 항종양 효능을 평가하려는 욕구는 나노의약품-면역 시스템 상호작용의 무시에 기여했을 가능성이 있는 면역결핍 마우스 모델의 광범위한 적용으로 이어졌습니다. [2] 이 검토는 인간 미생물군집 면역계 상호작용에 대한 현대적 상태와 건강, 면역 항상성 및 동종이식 이식에 대한 잠재적 영향에 대해 논의할 것입니다. [3] 이것은 파지가 병원체를 죽일 뿐만 아니라 보존된 세균 독성 인자인 OMV에 의해 유도된 숙주 반응을 변경함으로써 세균-숙주 면역 시스템 상호작용에 영향을 미칠 수 있음을 시사합니다. [4] 먼저 단일 지연이 있는 종양-면역 시스템 상호 작용 모델을 고려하고 지연이 변할 때 모델에서 홉프 분기의 존재뿐만 아니라 평형의 존재 및 국소 안정성에 대한 결과를 제시합니다. [5] TIMER(Tumor Immune Estimation Resource), TISIDB(Tumor and Immune System Interaction DataBase) 및 CIBERSORT(Cell type Identification By Estimating Relative Subsets Of RNA Transcripts)를 사용하여 면역 미세 환경을 조사했습니다. [6] 여기에서 Lee와 동료들은 암 줄기 세포(CSC) 기원과 가소성, CSC-면역 시스템 상호 작용 및 미세 환경 틈새가 간세포암종의 암 줄기세포성에 미치는 영향을 요약합니다. [7] 그럼에도 불구하고 보조제 및 면역 시스템 상호 작용, 생체 적합성, 생분해성 및 보조제의 독성에 관한 신호 전달 경로에 대한 완전한 이해가 필요합니다. [8] 그런 다음, EGFR 돌연변이 NSCLC의 암 면역도 특징을 묘사하여 종양 이질성, 면역 이펙터에 대한 종양 민감성, 대사, 일반 면역 상태, 면역 세포 침윤, 사이토카인 및 가용성 분자를 포함하는 암-면역 시스템 상호작용의 상태를 시각화했습니다. [9] 여러 비암성 세포와 생체분자로 구성된 신경교종 종양 미세환경(TME)은 암-면역 시스템 상호작용의 복잡성으로 알려져 있습니다. [10] 가능한 상호 작용의 엄청나게 복잡한 공간으로 인해 면역 상태와 면역 요법 반응을 조절하는 종양-면역 시스템 상호 작용을 식별하는 것은 어렵습니다. [11] 우리는 종양 용해성 바이러스 요법(OVT)과 종양 면역 시스템 상호 작용의 수학적 모델을 조사합니다. [12] 검토 목적 이 기사는 면역 매개 감각신경성 난청의 발병기전에 관한 현재 문헌을 검토하고, 이전에 발표된 단일 핵 전사 프로파일을 활용하여 성인 혈관선조 세포 유형에서 사이토카인 및 사이토카인 수용체 발현을 특성화하여 선조체와의 면역 시스템 상호 작용을 지원합니다. vascularis 및 현재 청력 회복 치료에 사용되는 면역 조절제에 대한 현재 문헌을 검토합니다. [13] nan [14] LIMK1 mRNA 발현과 면역 침윤물 사이의 관계는 TIMER(종양 면역 추정 자원) 및 TISIDB(종양 면역 시스템 상호 작용 데이터베이스)에 의해 결정되었습니다. [15] nan [16] nan [17] nan [18] nan [19] nan [20] nan [21] nan [22] nan [23] nan [24] nan [25] nan [26] nan [27] nan [28] nan [29] nan [30] nan [31] nan [32] nan [33] nan [34] nan [35] nan [36] nan [37] nan [38] nan [39] nan [40] nan [41] nan [42] nan [43] nan [44] nan [45] nan [46]
Complex System Interaction 복잡한 시스템 상호 작용
Both approaches are affected by the complexity of continuum robots through either model accuracy/computational time (theoretical method) or missing complex system interactions and lacking expandability (experimental method). [1] Smart Campus can be defined as a concept that uses technology in campus life that consists of complex system interactions to support its’s user primary needs, push to achieve higher skill, and motivate problem-solving. [2] In order to model and evaluate the alerts under complex system interactions background, a model based system engineering approach is proposed to design the alert logic model in correlation with functional logic interactions through the parametric diagram. [3]두 접근 방식 모두 모델 정확도/계산 시간(이론적 방법) 또는 복잡한 시스템 상호 작용 누락 및 확장성 부족(실험적 방법)을 통해 연속체 로봇의 복잡성에 영향을 받습니다. [1] 스마트 캠퍼스는 복잡한 시스템 상호 작용으로 구성된 캠퍼스 생활에서 기술을 사용하여 사용자의 기본 요구 사항을 지원하고 더 높은 기술을 달성하기 위해 추진하며 문제 해결에 동기를 부여하는 개념으로 정의할 수 있습니다. [2] nan [3]
Root System Interaction 루트 시스템 상호 작용
This study aimed to investigate common vetch (Vicia sativa) x triticale (Xtriticosecale Wittmack) root system interactions at the seedling stage under intercropping conditions. [1] odorifera in all treatments under root system interaction. [2] Intraspecific root system interaction resulted in significantly elevated AMF species richness, greater total mycorrhizal and arbuscular colonization, and a larger root:shoot ratio compared to plants experiencing intraspecific shoot interaction or no interaction. [3]이 연구는 간작 조건에서 묘목 단계에서 일반적인 vetch (Vicia sativa) x triticale (Xtriticosecale Wittmack) 뿌리 시스템 상호 작용을 조사하는 것을 목표로했습니다. [1] 뿌리 시스템 상호 작용 하에 모든 처리에서 악취. [2] nan [3]
Earth System Interaction 지구 시스템 상호 작용
The knowledge of unsustainable human and Earth system interactions is widespread, especially in light of systemic environmental injustices. [1] Here, we developed a prototype Earth system impact metric that is savvy to Earth system interactions. [2] Its gently banked geomorphology channels precipitation, sediment, biota, and human activity into a dynamic locus of regional Earth system interactions. [3]지속 불가능한 인간과 지구 시스템의 상호 작용에 대한 지식은 특히 체계적인 환경 불의에 비추어 널리 퍼져 있습니다. [1] 여기에서 우리는 지구 시스템 상호 작용에 정통한 프로토타입 지구 시스템 영향 메트릭을 개발했습니다. [2] nan [3]
Nervou System Interaction 신경계 상호작용
Future studies should be aimed at determining the immune-enteric nervous system interactions and developing disease-modifying approaches to prevent or treat delayed gastric emptying. [1] Advances in this field have made it possible to elucidate the pathomechanism of dysautonomia and autonomic nervous system interactions in both health and disease. [2] As a means to reconcile for this lack of legal foresight, this article approaches the topic of CIS-nervous system interaction and the impacts it may have on the legal definition of “persons” under the law. [3]미래의 연구는 면역-장 신경계 상호작용을 결정하고 지연된 위 배출을 예방하거나 치료하기 위한 질병 수정 접근법을 개발하는 것을 목표로 해야 합니다. [1] 이 분야의 발전으로 건강과 질병 모두에서 자율신경계의 이상과 자율신경계 상호작용의 병태기전을 설명할 수 있게 되었습니다. [2] nan [3]
Natural System Interaction 자연계 상호작용
It can provide important information about overall urban-natural system interactions. [1] Gaze-contingent systems thus monitor viewing behavior during natural system interactions to predict relevant interface elements. [2]그것은 전반적인 도시-자연 시스템 상호 작용에 대한 중요한 정보를 제공할 수 있습니다. [1] 따라서 응시 조건 시스템은 관련 인터페이스 요소를 예측하기 위해 자연스러운 시스템 상호 작용 중에 보기 동작을 모니터링합니다. [2]
Care System Interaction 케어 시스템 상호 작용
Key Findings Differentiated service delivery (DSD) models for HIV treatment in Malawi, South Africa, and Zambia can be grouped into 12 service delivery strategies that vary by population served, medication dispensing duration, location of medication delivery, frequency of health care system interactions, and other characteristics. [1] RESULTS: Five themes differed between age groups: validity of gender identity, gender journey barriers, influential networks, perceptions of medical therapy, and health care system interactions. [2]주요 결과 말라위, 남아프리카, 잠비아에서 HIV 치료를 위한 차별화된 서비스 전달(DSD) 모델은 서비스를 받는 인구, 약물 조제 기간, 약물 전달 위치, 의료 시스템 상호 작용 빈도, 및 기타 특성. [1] 결과: 성별 정체성의 타당성, 성 여정 장벽, 영향력 있는 네트워크, 의료 치료에 대한 인식, 의료 시스템 상호 작용의 5가지 주제가 연령 그룹에 따라 다릅니다. [2]
system interaction database 시스템 상호작용 데이터베이스
TIMER (Tumor Immune Estimation Resource), TISIDB (Tumor and Immune System Interaction DataBase) and CIBERSORT (Cell type Identification By Estimating Relative Subsets Of RNA Transcripts) were used to explore the immune microenvironment. [1] The relationship between LIMK1 mRNA expression and immune infiltrates was determined by tumor immune estimation resource (TIMER) and tumor-immune system interaction database (TISIDB). [2] The correlation between DUSP12 expression and tumor-infiltrating immune cells was demonstrated using the Tumor Immune Estimation Resource database and the Tumor and Immune System Interaction Database. [3] Data from the Tumor Immune Estimation Resource, Tumor-Immune System Interaction Database and Kaplan-Meier plotter indicated that ATP6AP1 expression correlated with immune infiltration, and that its prognostic effects in BC depended on tumor-infiltrating immune cell subtype levels. [4] Correlation between immunomodulators and immune cells was determined based on the Tumor and Immune System Interaction Database (TISIDB). [5] Using the Tumor Immune Estimation Resource tool and Tumor-Immune System Interaction Database, a potential relationship between B3GNT3 expression and immune cell infiltration was identified in pancreatic carcinoma. [6] On this basis, the Tumor and Immune System Interaction Database (TISIDB) was used to identify the potential association between RR genes and B cell infiltration. [7]TIMER(Tumor Immune Estimation Resource), TISIDB(Tumor and Immune System Interaction DataBase) 및 CIBERSORT(Cell type Identification By Estimating Relative Subsets Of RNA Transcripts)를 사용하여 면역 미세 환경을 조사했습니다. [1] LIMK1 mRNA 발현과 면역 침윤물 사이의 관계는 TIMER(종양 면역 추정 자원) 및 TISIDB(종양 면역 시스템 상호 작용 데이터베이스)에 의해 결정되었습니다. [2] nan [3] nan [4] nan [5] nan [6] nan [7]
system interaction datum 시스템 상호 작용 데이터
Most existing recommendation models are built using such a biased user-system interaction data. [1] First, we collected human-system interaction data through a Wizard-of-Oz study. [2] We first focus on a two-agent scenario and use a third order tensor (system dynamics tensor) to capture the system interaction data. [3] First, to guarantee the real-time performance of learning algorithms, a data-based distributed control algorithm is proposed for multiagent systems using offline system interaction data sets. [4]대부분의 기존 추천 모델은 이러한 편향된 사용자 시스템 상호 작용 데이터를 사용하여 구축됩니다. [1] 먼저 Wizard-of-Oz 연구를 통해 인간-시스템 상호 작용 데이터를 수집했습니다. [2] nan [3] nan [4]
system interaction model 시스템 상호 작용 모델
First we consider a tumor-immune system interaction model with a single delay and present results on the existence and local stability of equilibria as well as the existence of Hopf bifurcation in the model when the delay varies. [1] Herein, 28,605 biologically possible biomarker interactions are modeled by a set of matrix equations creating a system interaction model. [2] For some structural parts, by means of the FSI – Fluid System Interaction model – the distributions of main stresses and strains according to von Mises theory were illustrated. [3]먼저 단일 지연이 있는 종양-면역 시스템 상호 작용 모델을 고려하고 지연이 변할 때 모델에서 홉프 분기의 존재뿐만 아니라 평형의 존재 및 국소 안정성에 대한 결과를 제시합니다. [1] 여기에서, 28,605개의 생물학적으로 가능한 바이오마커 상호작용은 시스템 상호작용 모델을 생성하는 매트릭스 방정식 세트에 의해 모델링됩니다. [2] nan [3]