PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction

Accurately predicting vapor pressure is vital for various industrial and environmental applications. However, obtaining accurate measurements for all compounds of interest is not possible due to the resource and labor intensity of experiments. The demand for resources and labor further multiplies when a temperature-dependent relationship for predicting vapor pressure is desired. In this paper, we propose PUFFIN (Path-Unifying Feed-Forward Interfaced Network), a machine learning framework that combines transfer learning with a new inductive bias node inspired by domain knowledge (the Antoine equation) to improve vapor pressure prediction. By leveraging inductive bias and transfer learning using graph embeddings, PUFFIN outperforms alternative strategies that do not use inductive bias or that use generic descriptors of compounds. The framework's incorporation of domain-specific knowledge to overcome the limitation of poor data availability shows its potential for broader applications in chemical compound analysis, including the prediction of other physicochemical properties. Importantly, our proposed machine learning framework is partially interpretable, because the inductive Antoine node yields network-derived Antoine equation coefficients. It would then be possible to directly incorporate the obtained analytical expression in process design software for better prediction and control of processes occurring in industry and the environment

Simulation of chronic mitral regurgitation

In mitral regurgitation the left ventricle enlarges in order to increase its stroke volume because of the regurgitation through the mitral valve. The amount of this volume increase, and of the consequent increase in left ventricular mass, its dependent upon the amount of the regurgitant volume, but many other factors come into play, such as left ventricular pumping capability (contractility), the level of peripheral pressure, resistance and compliance of the arterial tree. The aim of this study is to predict the final left ventricular volumes and mass given the amount of mitral regurgitation. The predicted results are compared with actual data in real patients. In most cases prediction is fairly good; some discrepancies can be interpreted as an index of advanced decompensation

Nucleus reuniens transiently synchronizes memory networks at beta frequencies

Abstract Episodic memory-based decision-making requires top-down medial prefrontal cortex and hippocampal interactions. This integrated prefrontal-hippocampal memory state is thought to be organized by synchronized network oscillations and mediated by connectivity with the thalamic nucleus reuniens (RE). Whether and how the RE synchronizes prefrontal-hippocampal networks in memory, however, remains unknown. Here, we recorded local field potentials from the prefrontal-RE-hippocampal network while rats engaged in a nonspatial sequence memory task, thereby isolating memory-related activity from running-related oscillations. We found that synchronous prefrontal-hippocampal beta bursts (15–30 Hz) dominated during memory trials, whereas synchronous theta activity (6–12 Hz) dominated during non-memory–related running. Moreover, RE beta activity appeared first, followed by prefrontal and hippocampal synchronized beta, suggesting that prefrontal-hippocampal beta could be driven by the RE. To test whether the RE is capable of driving prefrontal-hippocampal beta synchrony, we used an optogenetic approach (retroAAV-ChR2). RE activation induced prefrontal-hippocampal beta coherence and reduced theta coherence, matching the observed memory-driven network state in the sequence task. These findings are the first to demonstrate that the RE contributes to memory by driving transient synchronized beta in the prefrontal-hippocampal system, thereby facilitating interactions that underlie memory-based decision-making

Carbon export in a bloom region from the Atlantic sector of the Southern Ocean derived from 234Th and sediment traps

Significant attenuation on sinking Particulate Organic Carbon (POC) takes place within the upper hundreds meters of the water column. The study of the transfer efficiency is essential to improve our understanding of the ocean’s role in sequestering carbon. Here we present results on downward POC fluxes as well as export efficiency (i.e. export/production ratio) in the Southern Ocean, which is a key regulator of the global carbon cycle. We followed a vast algal bloom occurred around 51ºS 13ºW during three weeks in summer 2012 and used Th-234 as a particle tracer in combination with sediment traps (ST). The estimated POC fluxes at 100 m were high, averaging 19 ± 9 and 33 ± 10 mmol m-2 d-1 (ST and ST+Th-234, respectively), and they were reduced by a factor of 2 at 300 m in most of the stations. The export efficiency at 100 m was generally low (30% in some locations. Phytoplankton and sinking particles composition data will be also considered to better comprehend the dynamics affecting POC fluxes in the Southern Ocean

Kegiatan Pemberian Bantuan Sosial sebagai Media Pemersatu di Masa Pandemi Covid-19

Ideologi Pancasila merupakan landasan bernegara paling ideal dan harus dipegang teguh oleh segenap anak bangsa termasuk kita sebagai mahasiswa. Mewujudkan masyarakat Pancasilais bisa diraih dengan menerjemahkan dan mengamalkan nilai-nilai Pancasila dalam seluruh aspek kehidupan berbangsa dan bernegara termasuk dalam lingkungan diri kita sendiri. Indonesia sedang mengalami masalah pandemi Covid-19, Indonesia telah menunjukkan kepada dunia bahwa ideologi Pancasila mampu menjadi senjata Indonesia menghadapi pandemi Covid-19. Melalui sigapnya masyarakat bergotong royong berada di garis terdepan perjuangan melawan Covid-19. Perubahan besar dalam perilaku masyarakat di masa pandemi Covid-19, salah satunya adalah lahirnya masyarakat baru yang memiliki rasa penuh empati,welas asih, dan sarat solidaritas sosial, didasarkan kepada hal ini maka kegiatan sosialisasi nilai-nilai Pancasila ini dilakukan sebagai upaya untuk membangun rasa empati dan simpati kepada masyarakat yang terdampak pandemi Covid-19 melalui kegiatan pemberian bantuan sosial