Explore the vast range of titles available.

We report the growth of nanoscale hafnium dioxide (HfO2) and zirconium dioxide (ZrO2) thin films using remote plasma-enhanced atomic layer deposition (PE-ALD), and the fabrication of complementary metal-oxide semiconductor (CMOS) integrated circuits using the HfO2 and ZrO2 thin films as the gate oxide. Tetrakis (dimethylamino) hafnium (Hf[N(CH3)2]4) and tetrakis (dimethylamino) zirconium (IV) (Zr[N(CH3)2]4) were used as the precursors, while O2 gas was used as the reactive gas. The PE-ALD-grown HfO2 and ZrO2 thin films were analyzed using X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and high-resolution transmission electron microscopy (HRTEM). The XPS measurements show that the ZrO2 film has the atomic concentrations of 34% Zr, 2% C, and 64% O while the HfO2 film has the atomic concentrations of 29% Hf, 11% C, and 60% O. The HRTEM and XRD measurements show both HfO2 and ZrO2 films have polycrystalline structures. n-channel and p-channel metal-oxide semiconductor field-effect transistors (nFETs and pFETs), CMOS inverters, and CMOS ring oscillators were fabricated to test the quality of the HfO2 and ZrO2 thin films as the gate oxide. Current-voltage (IV) curves, transfer characteristics, and oscillation waveforms were measured from the fabricated transistors, inverters, and oscillators, respectively. The experimental results measured from the HfO2 and ZrO2 thin films were compared.

A massive blast rocked a Gaza City hospital packed with woundedand other Palestinians seeking shelter Tuesday, killing hundreds ofpeople. Hamas blamed an Israeli airstrike, while the Israeli militaryblamed a rocket misfired by other Palestinian militants. Protests haveignited around the Middle East following an explosion at a hospital inGaza which killed at least 500 people. U.S. President Joe Biden is nowon his way to Israel for a high-stakes visit. State media in Chinareports President Xi Jinping has met with Russian President VladimirPutin on the sidelines of a global infrastructure summit in Beijing.Chaos in the U.S. Congress two weeks after Republicans ousted KevinMcCarthy as speaker. The only candidate right now for the job isTrump-supporting, conservative Republican Jim Jordan. In the past 11days Israel has been continually hit by thousands of rockets andmissiles fired by Hamas and other militant groups in Gaza. GUESTS: Khaled Elgindy, Yaakov Katz

Benefits of Knowledge Graph Technology for Enterprise AI ♦ Data Integration: Knowledge graphs can integrate data from disparate sources, including structured and unstructured data, making it easier to access and analyze information from across the organization. ♦ Contextual Understanding: By capturing the relationships between different pieces of data, knowledge graphs provide a more nuanced understanding of the context in which information exists, enabling more accurate analysis and decision-making. ♦ Semantic Search: Knowledge graphs can power advanced search capabilities that go beyond traditional keyword searching to understand the meaning and context of queries, returning more relevant results. ♦ Recommendation Systems: By understanding the relationships between different entities, knowledge graphs can power more accurate and personalized recommendation systems, improving user experiences and driving engagement. ♦ Data Governance: Knowledge graphs can help enforce data governance policies by providing a clear view of data lineage, ownership, and usage, ensuring compliance with regulations and best practices. Case Study: Knowledge Graphs in Action One example of knowledge graph technology in action is the use of knowledge graphs by a large ecommerce company to power its product recommendation engine. Build Your Knowledge Management Foundation Knowledge graph technology offers a powerful tool for building a knowledge management foundation that best enables enterprise AL By leveraging the capabilities of standards-based, semantic knowledge graphs, organizations can integrate, analyze, and understand their data in a more holistic and meaningful way, driving insights, innovation, and competitive advantage.

The Power of Anzo and Knowledge Guru Cambridge Semantics' Anzo Knowledge Graph Platform serves as the backbone of this innovative solution, enabling efficient integration of data from disparate sources. By leveraging the power of knowledge graphs, Anzo allows organizations to capture and connect data in a meaningful way, providing a holistic view of their information landscape. A Powerful Solution Anzo and Knowledge Guru offer a powerful solution for building a knowledge management foundation that best enables enterprise AL By leveraging the capabilities of knowledge graphs and natural language processing, organizations can unlock the full potential of their data, driving insights, innovation, and competitive advantage.

DeSantis Jabs Trump in series of attacks since campaign launch.Debt ceiling negotiators get extra time after Treasury secretaryextends default date by four days. Russia: Two drone attacks damagedbuildings in Krasnodar. GUESTS: Nicholas Nehamas, Seth Moulton, Shan Wu, Peter Zwack, RobHale

Explosions heard in multiple cities as Russia attacks Ukraine.Ukrainian military planning to take back Antonov Airport from Russianarmy. GUESTS: David Petraeus

Traumatic brain injury (TBI) is a risk factor for the later development of neurodegenerative diseases that may have various underlying pathologies. Chronic traumatic encephalopathy (CTE) in particular is associated with repetitive mild TBI (mTBI) and is characterized pathologically by aggregation of hyperphosphorylated tau into neurofibrillary tangles (NFTs). CTE may be suspected when behavior, cognition, and/or memory deteriorate following repetitive mTBI. Exposure to blast overpressure from improvised explosive devices (IEDs) has been implicated as a potential antecedent for CTE amongst Iraq and Afghanistan Warfighters. In this study, we identified biomarker signatures in rats exposed to repetitive low-level blast that develop chronic anxiety-related traits and in human veterans exposed to IED blasts in theater with behavioral, cognitive, and/or memory complaints. Rats exposed to repetitive low-level blasts accumulated abnormal hyperphosphorylated tau in neuronal perikarya and perivascular astroglial processes. Using positron emission tomography (PET) and the [18F]AV1451 (flortaucipir) tau ligand, we found that five of 10 veterans exhibited excessive retention of [18F]AV1451 at the white/gray matter junction in frontal, parietal, and temporal brain regions, a typical localization of CTE tauopathy. We also observed elevated levels of neurofilament light (NfL) chain protein in the plasma of veterans displaying excess [18F]AV1451 retention. These findings suggest an association linking blast injury, tauopathy, and neuronal injury. Further study is required to determine whether clinical, neuroimaging, and/or fluid biomarker signatures can improve the diagnosis of long-term neuropsychiatric sequelae of mTBI.

Background Progesterone promotes uterine relaxation and is essential for the maintenance of pregnancy. Withdrawal of progesterone activity and increased inflammation within the uterine tissues are key triggers for parturition. Progesterone actions in myometrial cells are mediated by two progesterone receptor (PR) isoforms, PR-A and PR-B, that function as ligand-activated transcription factors. PR-B mediates relaxatory actions of progesterone, in part, by decreasing myometrial cell responsiveness to pro-inflammatory stimuli. These same pro-inflammatory stimuli promote the expression of PR-A which inhibits the anti-inflammatory activity of PR-B. Competitive interaction between the progesterone receptors then augments myometrial responsiveness to pro-inflammatory stimuli. The interaction between PR-B transcriptional activity and inflammation in the pregnancy myometrium is examined using a dynamical systems model in which quiescence and labor are represented as phase-space equilibrium points. Our model shows that PR-B transcriptional activity and the inflammatory load determine the stability of the quiescent and laboring phenotypes. The model is tested using published transcriptome datasets describing the mRNA abundances in the myometrium before and after the onset of labor at term. Surrogate transcripts were selected to reflect PR-B transcriptional activity and inflammation status. Results The model coupling PR-B activity and inflammation predicts contractile status (i.e., laboring or quiescent) with high precision and recall and outperforms uncoupled single and two-gene classifiers. Linear stability analysis shows that phase space bifurcations exist in our model that may reflect the phenotypic states of the pregnancy uterus. The model describes a possible tipping point for the transition of the quiescent to the contractile laboring phenotype. Conclusions Our model describes the functional interaction between the PR-A:PR-B hypothesis and tissue level inflammation in the pregnancy uterus and is a first step in more sophisticated dynamical systems modeling of human partition. The model explains observed biochemical dynamics and as such will be useful for the development of a range of systems-based models using emerging data to predict preterm birth and identify strategies for its prevention.