KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation

Extensive adoption of electronic health records (EHRs) offers opportunities for its use in various clinical analyses. We could acquire more comprehensive insights by enriching an EHR cohort with external knowledge (e.g., standardized medical ontology and wealthy semantics curated on the web) as it divulges a spectrum of informative relations between observed medical codes. This paper proposes a novel Knowledge-Induced Medicine Prescribing Network (KindMed) framework to recommend medicines by inducing knowledge from myriad medical-related external sources upon the EHR cohort, rendering them as medical knowledge graphs (KGs). On top of relation-aware graph representation learning to unravel an adequate embedding of such KGs, we leverage hierarchical sequence learning to discover and fuse clinical and medicine temporal dynamics across patients' historical admissions for encouraging personalized recommendations. In predicting safe, precise, and personalized medicines, we devise an attentive prescribing that accounts for and associates three essential aspects, i.e., a summary of joint historical medical records, clinical condition progression, and the current clinical state of patients. We exhibited the effectiveness of our KindMed on the augmented real-world EHR cohorts, etching leading performances against graph-driven competing baselines

Efficient Continuous Manifold Learning for Time Series Modeling

Modeling non-Euclidean data is drawing attention along with the unprecedented successes of deep neural networks in diverse fields. In particular, symmetric positive definite (SPD) matrix is being actively studied in computer vision, signal processing, and medical image analysis, thanks to its ability to learn appropriate statistical representations. However, due to its strong constraints, it remains challenging for optimization problems or inefficient computation costs, especially, within a deep learning framework. In this paper, we propose to exploit a diffeomorphism mapping between Riemannian manifolds and a Cholesky space, by which it becomes feasible not only to efficiently solve optimization problems but also to reduce computation costs greatly. Further, in order for dynamics modeling in time series data, we devise a continuous manifold learning method by integrating a manifold ordinary differential equation and a gated recurrent neural network in a systematic manner. It is noteworthy that because of the nice parameterization of matrices in a Cholesky space, it is straightforward to train our proposed network with Riemannian geometric metrics equipped. We demonstrate through experiments that the proposed model can be efficiently and reliably trained as well as outperform existing manifold methods and state-of-the-art methods in two classification tasks: action recognition and sleep staging classification

Effects of projected climate on the hydrodynamic and sediment transport regime of the lower Athabasca River in Alberta, Canada

The potential effects of climate change on the hydrodynamic and sediment transport regime of the lower Athabasca River (LAR) in Alberta, Canada, is investigated. Future climate projections for the region suggest a potential increase in mean air temperature and precipitation by about 2.8–7.1 °C and 8–25%, respectively, by the end of this century. Implications of these climatic changes on the hydrologic regime of the LAR are found to be significant with spring flows expected to increase by about 11–62% and 26–71% by the end of the century for a moderate and high emissions scenarios respectively with corresponding decreases in summer flows. The effects of such changes are examined using the MIKE‐11 hydrodynamic and sediment transport modelling system with inflow boundary conditions corresponding to the changing hydro‐climatic regime. The results suggest that there will be an overall increase in flow velocity, water level, and suspended sediment concentration and transport for most seasons except in the summer months when there may be some decreases. The projected changes in suspended sediment concentration will result in an overall increase in mean annual sediment load in the LAR and to the Peace Athabasca Delta by over 50% towards the latter part of this century (2080s) compared with the 1980s base‐line period. Implications of such potential changes in the transport characteristics of the river system to the mobilization and transport of various chemical constituents and their effects on the region's aquatic ecosystems are subjects of other ongoing investigations

Effect of proton irradiation on the fluctuation-induced magnetoconductivity of FeSe1−xTex thin films

The influence of proton irradiation on the fluctuation-induced magnetoconductivity of high quality FeSe1−xTex (x=0.4, 0.55) (FST) thin films has been investigated. The measurements were performed with magnetic fields up to 13 T applied in the two main crystal directions. The results were interpreted in terms of the Ginzburg–Landau approach for three-dimensional materials under a total-energy cutoff. The analysis shows that properly-tuned proton irradiation does not appreciably affect fundamental superconducting parameters like the Tc value, the upper critical fields or the anisotropy. This has important consequences from the point of view of possible applications due to the enhancement of vortex pinning induced by irradiation.YSK was supported by the NRF grant funded by the Ministry of Science, ICT and Future Planning (No. NRF-2015M2B2A9028507 and NRF-2016R1A2B4012672). TP was supported by the NRF grant funded by the Ministry of Science, ICT and Future Planning of Korea (No. 2012R1A3A2048816). JM acknowledges support by project FIS2016-79109-P (AEI/FEDER, UE) and by the Xunta de Galicia (project AGRUP 2015/11). SL was supported by the Global Research Network program through the NRF funded by the Ministry of Science and ICT & Future Planning (NRF-2014S1A2A2028361)S

Temperature dependence of the superconducting energy gaps in Ca9.35La0.65(Pt-3 As-8)(Fe2As2)(5) single crystal

We measured the optical reflectivity R(ω) for an underdoped (Ca0.935La0.065)10(Pt3As8)(Fe2As2)5 single crystal and obtained the optical conductivity σ1(ω) using the K-K transformation. The normal state σ1(ω) at 30 K is well fitted by a Drude-Lorentz model with two Drude components (ωp1 = 1446 cm-1 and ωp2 = 6322 cm-1) and seven Lorentz components. Relative reflectometry was used to accurately determine the temperature dependence of the superconducting gap at various temperatures below Tc. The results clearly show the opening of a superconducting gap with a weaker second gap structure; the magnitudes for the gaps are estimated from the generalized Mattis-Bardeen model to be Δ1 = 30 and Δ2 = 50 cm-1, respectively, at T = 8 K, which both decrease with increasing temperature. The temperature dependence of the gaps was not consistent with one-band BCS theory but was well described by a two-band (hence, two gap) BCS model with interband interactions. The temperature dependence of the superfluid density is flat at low temperatures, indicating an s-wave full-gap superconducting state. © The Author(s) 2018.1

MEMPERKENALKAN APLIKASI NOTION UNTUK MEMBANTU PRODUKTIVITAS SISWA DAN SISWI SMK PANCAKARYA 2 TANGERANG

Aplikasi Notion adalah aplikasi yang menyediakan layanan dalam membuat suatu perencanaan untuk melakukan beberapa aktivitas Aplikasi notion ini dapat membantu siswa dan siswi dalam melakukan kegiatan yang sangat terstruktur di SMK Pancakarya 2 Tangerang dalam mengatur jadwal pembelajaran, dapat menyimpan link tugas yang disimpan di dalam Google Drive dan menyimpan video pelajaran yang telah diberikan oleh guru, maupun kegiatan lainnya secara lebih terstruktur. Tujuan pengabdian kepada masyarakat ini untuk Memperkenalkan dan Mengimplementasikan Aplikasi Notion kepada siswa dan siswi SMK Pancakarya 2 Tangerang, mengajarkan siswa dan siswi Pancakarya 2 Tangerang agar lebih produktif dalam mengatur jadwal pelajaran maupun kegiatan lainnya, membantu siswa dan siswi SMK Pancakarya 2 Tangerang dalam mengatasi Prokstatinasi Akademik dalam kegiatan pembelajaran sehari-hari. Metode penelitian yang digunakan adalah metode wawancara, ini dilakukan dengan pertanyaan yang bersifat terbuka dan mengarah pada kedalaman informasi kepada pihak sekolah, serta dilakukan dengan cara yang tidak formal terstruktur, guna menggali pandangan subjek yang diteliti tentang banyak hal yang sangat bermanfaat untuk menjadi dasar bagi penggalian informasinya secara lebih lengkap, dan akurat. Berdasarkan hasil pengabdian kepada masyarakat yang telah dilakukan, didapatkan hasil bahwa peserta atau siswa dan siswi memberikan respon yang positif untuk menerima apa yang diberikan dari segi materi maupun praktek yang diberikan kepada siswa dan siswi. .

Economic evaluation of bakanae disease of rice

Bakanae disease infestation levels of 5, 10, 25, 50, 75 and 100% seedlings were compared with non-infested control in a field trial. According to the results treatments with 5, 10, 25, 50, 75 and 100% infestation had significantly lower paddy yields of 4.15, 3.95, 3.75, 2.97, 2.45 and 1.87 t/ha respectively against 4.45 t/ha paddy yield in the control. Losses of 57.97% were recorded in 100% infested treatment producing 68.40% seedling infection. The study indicated the potential of the disease to cause heavy economic losses

Antibacterial and antibiofilm activity of Abroma augusta stabilized silver (Ag) nanoparticles against drug-resistant clinical pathogens

Infectious diseases remain among the most pressing concerns for human health. This issue has grown even more complex with the emergence of multidrug-resistant (MDR) bacteria. To address bacterial infections, nanoparticles have emerged as a promising avenue, offering the potential to target bacteria at multiple levels and effectively eliminate them. In this study, silver nanoparticles (AA-AgNPs) were synthesized using the leaf extract of a medicinal plant, Abroma augusta. The synthesis method is straightforward, safe, cost-effective, and environment friendly, utilizing the leaf extract of this Ayurvedic herb. The UV-vis absorbance peak at 424 nm indicated the formation of AA-AgNPs, with the involvement of numerous functional groups in the synthesis and stabilization of the particles. AA-AgNPs exhibited robust antibacterial and antibiofilm activities against methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE). The MIC values of AA-AgNPs ranged from 8 to 32 μg/mL. Electron microscopic examination of the interaction of AA-AgNPs with the test bacterial pathogens showed a deleterious impact on bacterial morphology, resulting from membrane rupture and leakage of intracellular components. AA-AgNPs also demonstrated a dose-dependent effect in curtailing biofilm formation below inhibitory doses. Overall, this study highlights the potential of AA-AgNPs in the successful inhibition of both the growth and biofilms of MRSA and VRE bacteria. Following studies on toxicity and dose optimization, such AgNPs could be developed into effective medical remedies against infections