Singulus (Germany)

Pharmacological metabolism issues put patient safety at risk by raising the possibility of side effects and inadequate treatment results. This summary attempts to explain the challenges associated with drug metabolism, particularly long-term polypharmacy with metabolites - when an unintended change has direct and clinically meaningful effects. This is done through a series of cases and patient stories. Metabolism typically consists of a series of enzymatic reactions that occur primarily in the liver and result in drugs being converted into water-soluble forms for excretion. Nevertheless, it is a factor that can be disrupted by genetic polymorphisms, liver diseases affecting its expression or function, drug interactions, and age-related changes in physiological mechanisms. Metabolites can lead to bioaccumulation of a drug, poor therapeutic effects, or adverse events if metabolism is incomplete. A patient with a CYP2D6 enzyme deficiency may convert codeine to morphine more slowly, resulting in inadequate pain relief. Another example is a distant psychiatric patient with underlying liver disease who experiences significant inadequacy of benzodiazepine metabolism, leading to prolonged sedation and respiratory depression. There is also an example of polypharmacy, in which a patient taking multiple medications, including a strong CYP3A4 inhibitor, receives a toxic amount of a normally safe dose because the metabolic clearance rate is reduced. They are important examples of incomplete drug metabolism and underscore the imperative incorporation of precise, personalized medicine techniques, including genetic testing, close monitoring of liver function tests (which would account for gender differences in response), and thorough consideration of possible interactions between pharmaceutical agents that contribute to individual variability. This, in turn, allows healthcare professionals to provide more personalized treatment, minimize the risk of side effects, and improve patient outcomes.

Multifunctional hardware technologies for neuromorphic computing are essential for replicating the complexity of biological neural systems, thereby improving the performance of artificial synapses and neurons. Integrating ionic and spintronic technologies offers new degrees of freedom to modulate synaptic potentiation and depression, introducing novel magnetic functionalities alongside the established ionic analogue behavior. We demonstrate that magneto-ionic devices can perform as synaptic elements with dynamically tunable depression linearity controlled by an external magnetic field, a functionality reminiscent of neuromodulation in biological systems. By applying magnetic fields we significantly reduce the nonlinearity of synaptic depression, transitioning from an exponential dependence to a linear response at higher fields. Neural network simulations reveal that this magnetically induced linearity enhancement improves learning accuracy across a wide range of learning rates, which is retained after the magnetic field is removed. These findings highlight the versatility and promise of magneto-ionic devices for developing tunable synaptic elements for neuromorphic hardware.

Abstract There is a high demand across industries for intelligent devices to automate and optimize processes. Generative AI has soared in popularity and it is the first AI technology to be used by everyone. It is already automating junior-level office work, as well as highly complex creative tasks. This paper studies how Generative AI can automate some of the Agile project management tasks, such as reporting and creating requirements that correctly cover the scope.

Minimnya motivasi dan minat belajar siswa pada pelajaran Ekonomi kelas X-C MAN 1 Subulussalam berdampak pada penurunan hasil belajar yang signifikan. Salah satu solusi yang dapat diterapkan adalah penggunaan model pembelajaran inovatif, yakni Problem Based Learning (PBL). Penelitian ini bertujuan mengetahui peningkatan motivasi belajar dan hasil belajar pada materi Peran Pelaku Ekonomi. Metodologi penelitian yang digunakan adalah studi literatur, observasi, dan eksperimen. Data dianalisis menggunakan statistik deskriptif. Hasil menunjukkan bahwa motivasi belajar meningkat signifikan, terutama dalam perasaan senang dan tekun sebesar 37% (dari 53% menjadi 90%). Kemauan dan minat belajar meningkat sebesar 35% (dari 49% menjadi 84%). Aspek kecerdasan dan kemandirian meningkat sebesar 33% (dari 56% menjadi 90%). Aspek prestasi belajar meningkat sebesar 33% (dari 58% menjadi 91%). Untuk hasil belajar, terjadi peningkatan jumlah siswa yang tuntas KKM. Sebelumnya, 17 dari 22 siswa (77,27%) tuntas pada konsep peran pelaku ekonomi, sedangkan 5 siswa (22,73%) tidak tuntas. Setelah penerapan PBL, semua siswa tuntas (100%). Dengan demikian, penerapan model Problem Based Learning terbukti berpengaruh signifikan terhadap peningkatan motivasi belajar dan hasil belajar siswa kelas X-C MAN 1 Subulussalam dalam pembelajaran Ekonomi.

Spin orbit torque (SOT) provides an efficient way to induce magnetization dynamics and switching of nanomagnets using electrical currents. In this study we present a SOT-induced magnetization switching in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha-\mathbf{W}$</tex>-based magnetic tunnel junction (MTJ) with an effective in-plane magnetic anisotropy. 6-nm thick W is characterized by a relatively low resistivity and the spin-Hall angle of 0.1. In the MTJ nanopillars with an easy-axis oriented perpendicular to the current direction we observed a magnetization reversal with the current density approximately <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$7 \times 10^{11}\mathbf{A}/\mathbf{m}^{2}$</tex>

The electric-field control of magnetism is a highly promising and potentially effective approach for realizing energy-efficient applications. Recent interest has focused on the magneto-ionic effect in synthetic antiferromagnets, driven by its potential to enable high-density data storage devices with ultra-low power consumption. However, the underlying mechanism responsible for the magneto-ionic effect on the interlayer exchange coupling remains elusive. In our work, we find that the modulation of the interlayer exchange coupling is highly sensitive to the thickness of the ferromagnetic layer. We have identified that the changes in the interlayer exchange coupling induced by the gate voltage can be associated with the magneto-ionic effects on the top ferromagnetic layer of the synthetic antiferromagnet. The direct contact between the high ion mobility oxide and the top ferromagnetic layer plays a crucial role in facilitating these effects, largely modifying the anisotropy of the layers. Our findings highlight the important role of magneto-ionic control over the properties of the top ferromagnetic layer in governing the observed modifications in the interlayer exchange coupling. This study provides crucial insight into the intricate interplay between stack structure and magneto-ionic effect on magnetic properties in synthetic antiferromagnetic thin film systems.