Miracle-dz/UniFAR-FTUs huggingface dataset:
Sinaps: A Python library to simulate voltage dynamics and ionic electrodiffusion in neurons

How do neuronal dendrites collect, process and transmit information? What is the role of neurons’ specific geometry on neuronal activity? The old postulate that dendrites serve mainly to connect neurons and to convey information, with no specific role in cognitive processes, is currently challenged by the emergence of novel experimental techniques (London & Husser, 2005 ; Basak & Narayanan, 2018). Hence, the role of the dendritic tree in transforming synaptic input into neuronal output is now a leading question in developmental neuroscience. In particular, using genetically-encoded Caindicators, state-of-the-art techniques have been developed to track the calcium dynamics within the entire dendritic tree, at high spacial and temporal scales (Sakaki et al., 2020). Tracking neuronal activity through calcium dynamics is nevertheless ambitious. Calcium concentration fluctuations are known to reflect neuronal activity in a very complex way, as ions can flow from many sources that interact non-linearly with each other. There is thus an enhanced need for modeling to resolve what can be seen as an inverse problem: finding from experimental recordings the markers of synaptic activity, and distinguish in the calcium signals the different calcium sources.
HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study

Heterogeneity is a problem in storing and exchanging data in a digital health information system (HIS) following semantic and structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as a structural standard may explain other information models, (e.g., personal, physiological, and behavioral data from heterogeneous sources, such as activity sensors, questionnaires, and interviews) with semantic vocabularies, (e.g., Systematized Nomenclature of Medicine—Clinical Terms (SNOMED-CT)) to connect personal health data to an electronic health record (EHR). We design and develop an intuitive health coaching (eCoach) smartphone application to prove the concept. We combine HL7 FHIR and SNOMED-CT vocabularies to exchange personal health data in JavaScript object notion (JSON). This study explores and analyzes our attempt to design and implement a structurally and logically compatible tethered personal health record (PHR) that allows bidirectional communication with an EHR. Our eCoach prototype implements most PHR-S FM functions as an interoperability quality standard. Its end-to-end (E2E) data are protected with a TSD (Services for Sensitive Data) security mechanism. We achieve 0% data loss and 0% unreliable performances during data transfer between PHR and EHR. Furthermore, this experimental study shows the effectiveness of FHIR modular resources toward flexible management of data components in the PHR (eCoach) prototype.
DEVELOPING AN ACTUAL VERY HIGH FREQUENCY ANTENNA USING GENETIC ALGORITHMS

Antenna for the 88-108MHz Very high frequency (VHF) broadcast audio frequency-modulation (FM) band. The antenna is intended tofit in the flat area inside the head-band of an over ear hearing-protector headset. The space for the antenna is limited by an existing head-band design, where the unused internal area is the space studied in this thesis. A genetic algorithm is described for the multiple objective optimization of the antenna matching and radiation pattern optimization. The results of multiple genetic algorithm evaluations are described, and possible further improvements outlined. Progress is made on the development of the antenna. The antenna radiation pattern is evolved in desirable way, but a difficulty in solving the antenna matching problem is identified. Research for resolving the antenna matching problem is described in this paper
Design Aspects of Additive Manufacturing at Microscale: A Review

Additive manufacturing (AM) technology has been researched and developed for almost three decades. Microscale AM is one of the fastest-growing fields of research within the AM area. Considerable progress has been made in the development and commercialization of new and innovative microscale AM processes, as well as several practical applications in a variety of fields. However, there are still significant challenges that exist in terms of design, available materials, processes, and the ability to fabricate true three-dimensional structures and systems at a microscale. For instance, microscale AM fabrication technologies are associated with certain limitations and constraints due to the scale aspect, which may require the establishment and use of specialized design methodologies in order to overcome them. The aim of this paper is to review the main processes, materials, and applications of the current microscale AM technology, to present future research needs for this technology, and to discuss the need for the introduction of a design methodology. Thus, one of the primary concerns of the current paper is to present the design aspects describing the comparative advantages and AM limitations at the microscale, as well as the selection of processes and materials.
Improvement of glucose control after successful introduction of Continuous Glucose Monitoring (CGM) in internal medicine residency continuity community clinic- retrospective, longitudinal one group study

In our study we retrospectively looked at patients in which as a standard of care Continuous Glucose Monitoring (CGM) with Dexcom G6 Device was started in Internal Medicine Residency Continuity Community clinic in Mountain View Hospital, Las Vegas, Nevada in 10-patients with Type- II diabetes mellitus uncontrolled on 3-4 injections of Insulin per day-Multiple Injections of Insulin per day (MDI) who were Self- monitoring their blood glucose 4- times a day (SMBG). The CGM was initiated by Internal Medicine Residents, adjustment of the Insulin dose was done by them under the supervision of Board-Certified Endocrinologist. The goal was to show improvement of patients HbA1c measured by glucose management Indicator. The HbA1c was reduced in 3- months after introduction of the CGM from 10.0% to 7.87%. Time in range we achieved was 65% with the goal based on patient’s age and comorbid conditions between 50 and 70%. Based on the average age of the patient of 51- years this is compatible with the goals using CGM. The main objective of our study was that it was possible to show improvement of glucose control measured by changes in HbA1c after introduction of CGM in most difficult to treat patients with Type -II Diabetes Mellitus by Internal Medicine Residents under the supervision of Endocrine specialist. This can be adopted by other Internal Medicine Residency Programs in USA.
Assessment of the Rose-Hulman Leadership Academy

Giving students the ability to be entrepreneurial leaders is a potentially valuable outcome for an engineering program. Entrepreneurial leadership consists of communication, teamwork, and problem solving skills that are important to careers in STEM fields, including engineering. For engineering, in particular, entrepreneurship and leadership skills relate directly to accreditation outcomes that every undergraduate engineering program must address. In this study, we describe the assessment of a three day leadership academy program at a small, technical school in the Midwestern United States. Activities in the academy consisted of seminars on leadership styles and communication comingled with problem solving and teamwork activities in which students were asked to analyze and apply the ideas they had learned. This academy is part of a grant from the Kern Entrepreneurial Engineering Network, and activities were tailored to address specific outcomes from that grant. Multiple forms of data were collected to assess the student experience at this leadership academy. To assess the application of ideas from seminars during activities, program facilitators, consisting of faculty and attendees of previous iterations of the academy, were asked to fill out open-ended assessment forms. These forms were designed to highlight ideas that students were implementing well, and areas that were in need of improvement. Additionally, pre and post surveys were administered to all program participants, measuring entrepreneurial mindset and student perceptions of program outcomes. Finally, voluntary semistructured interviews were conducted after the leadership academy concluded. These interviews addressed outcomes that were not covered by surveys and facilitator comments, and provided further insight into how students perceived the academy. Our analysis of results shows that academy activities positively influence student skills in teamwork, communication and problem solving.
Online dynamic security control in a large scale power system

Summary form only given. The aim of this paper is to introduce a new methodology, based on dynamic optimization, for assessing preventive control actions to guarantee dynamic security of power systems. In order to mitigate the effect of a contingency, in terms of steady-state or transient violation such as overloads, unacceptable transient voltage dips, system instability, preventive actions are applied as soon as a potentially dangerous violation is detected during a contingency screening. The proposed approach entails the ability to force the system trajectories in an acceptable state space domain under a set of severe but credible contingencies and gives indications about preventive actions when necessary. The approach is sufficiently general to improve the transient behavior of a power system with regard to different objectives such as: to enforce angle stability of the system constraining rotor angle deviations and minimizing the integral of transient kinetic energy across the whole trajectory; and to avoid transient voltage stability using a signal energy based on an integral form of the voltage magnitude at each bus of the system. This methodology consists of an optimization procedure where: the objective function is aimed at minimizing control action efforts; inequality constraints confine the trajectory of the system in a practical domain of the state space ensuring a feasible behavior of the system, power quality, etc.; and equality constraints derive from the discretization of the differential-algebraic equations of the power system sparse representation.
Virtual Reality Gesture Interface based on Human-animal Interaction

There currently is not a standard unified interface in Virtual Reality (VR), and even though interfaces start to allow gesture-based interaction many user interfaces are directly borrowed from 2D surface interactions. Too few experiences fully leverage the embodiment in VR. To address those issues and to explore a new design space, this project proposes an alternative gesture control scheme based on human-animal interaction. A interactive prototype is presented where the player use gestures to command an animal companion to finish tasks.
Role of Remittances on Rural Poverty in Nepal-Evidence from Cross-Section Data

This paper attempts to determine the impact of remittance on rural poverty in Nepal using the microdata set of household risk and vulnerability survey 2016 – 2018. The cross-sectional analysis has been carried out using a dataset of 2018 with 5,645 households across 50 districts of Nepal. The logit regression model has been used to determine the relationship between poverty and remittances. About 38 percent of rural households received remittances in 2018. About 65 percent of households headed by females received remittance compared to 30 percent of households headed by male counterparts. About 41 percent, 31 percent, and 32 percent of households living in the Hilly region, Terai, and Himalayan region respectively received remittance in 2018. About 1 in every 5 households in rural Nepal is poor. The probability of households falling into poverty reduces by 4.8 percent with a one percent rise in household assets. Remittance receiving households are 2.3 percent less likely to get caught in poverty as compared to remittance non-receiving households. The probability of households plunging into poverty decreases by about 1.1 percent with every 10 percent increase in remittance inflows to households.
Development of a Low Cost Eco-Friendly Minimum Quantity Lubrication System for Machining Processes

: Recently all environmental worries are calling for reducing the usage of fluids in machining operations. One of the promising solutions that appeared lately is minimum quantity lubrication (MQL). This research aimed to develop an eco-friendly cooling system for a lathe machine and assess its performance. After considering the customer needs, the needs were translated into engineering specifications in the conceptual design phase, and then the quality function deployment was developed. Three concepts were generated and evaluated considering the selection criteria, and a final concept was selected using the decision matrix method. Following this, a detailed design and fabrication of the sub-systems such as the oil tank and a structure accommodate all the components. The developed system was tested on six different workpiece samples to compare the MQL system with the conventional one. In general, the MQL system resulted in lower surface roughness values as well as lower tool wear.
Reliability-redundancy allocation Problem of a queueing system considering energy consumption

In Reliability Redundancy Allocation Problem (RRAP), the reliability and redundancy of components in a given system configuration are determined while concerning some problem-specific constraints. RRAP can be applied to various industries. Moreover, queueing systems are among the most common systems in the manufacturing and service industries. Failure in queueing systems can result in unwanted severe damages. Reliability analysis of queueing systems should be undertaken concerning their performance measures. Therefore, an RRAP of a queueing system considering queueing costs is studied in this article. The proposed cost function includes queueing, repair, and energy consumption costs. A memetic algorithm is used to obtain optimal redundancy and failure rates of components and the system’s service rate, which affects the energy consumption level. Extensive numerical experiments and sensitivity analyses are performed to present the problem’s applicability and the proposed algorithm.
4.0. Impact of external magnetic and Aharanov-Bohm (AB) Fields on the energy spectra of the Varshni-type potential in arbitrary

https://doi.org/10.30574/wjarr.2022. 14.1. 0256 Abstract In this article, the Varshni potential is analyzed taking into consideration the effects of magnetic and AB flux fields within the non-relativistic regime using the Nikiforov-Uvarov-Functional Analysis method (NUFA) method. The energy equation and wave function of the system are obtained in close form. We find that the entirety of effects of these fields removes degeneracy as a consequence and raises the bound state energy of the system. More so, it could be deduced that to regulate the energy spectra of this system, the AB-flux and magnetic field will do so greatly. The results from this study can be applied in condensed matter physics, atomic and molecular
A Survey on SPH Methods in Computer Graphics

Throughout the past decades, the graphics community has spent major resources on the research and development of physics simulators on the mission to computer‐generate behaviors achieving outstanding visual effects or to make the virtual world indistinguishable from reality. The variety and impact of recent research based on Smoothed Particle Hydrodynamics (SPH) demonstrates the concept's importance as one of the most versatile tools for the simulation of fluids and solids. With this survey, we offer an overview of the developments and still‐active research on physics simulation methodologies based on SPH that has not been addressed in previous SPH surveys. Following an introduction about typical SPH discretization techniques, we provide an overview over the most used incompressibility solvers and present novel insights regarding their relation and conditional equivalence. The survey further covers recent advances in implicit and particle‐based boundary handling and sampling techniques. While SPH is best known in the context of fluid simulation we discuss modern concepts to augment the range of simulatable physical characteristics including turbulence, highly viscous matter, deformable solids, as well as rigid body contact handling. Besides the purely numerical approaches, simulation techniques aided by machine learning are on the rise. Thus, the survey discusses recent data‐driven approaches and the impact of differentiable solvers on artist control. Finally, we provide context for discussion by outlining existing problems and opportunities to open up new research directions.
SIR-SRGAN: Super-Resolution Generative Adversarial Networks with Self-Interpolation Ranker

Super-Resolution Generative Adversarial Networks (SRGAN) and follow-up perceptual single image super-resolution(SISR) method has shown us impressive texture generation capability. However, these models do not fully exploit the difference between the reconstructed image and the original image. In this paper, we propose a Self-Interpolation Ranker(SI-Ranker) to take advantage of the difference between the reconstructed image and the original image. SI-Ranker sorts the interpolated image of the reconstruction image and the original image and guides the image reconstruction during training. This method allows the generator to focus on the difference between the reconstruction image and the original image to improve the quality of the reconstructed image while obtaining a reconstruction image closer to the original image. In addition, we propose Patch Distance Loss (PDL) to reduce the artifacts in the reconstructed image. PDL reduces artifacts by calculating the cosine similarity between the reconstructed image and HR in all patches. Experiments show that SIR-SRGAN improves consistency with the original at both pixel and feature levels, allowing it to be compared to the state-of-the-art. Our code at http://github.com/huang-junhong/SIRSRGAN.
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting

In this paper we present a novel self-supervised method to anticipate the depth estimate for a future, unobserved real-world urban scene. This work is the ﬁrst to explore self-supervised learning for estimation of monocular depth of future unobserved frames of a video. Existing works rely on a large number of annotated samples to generate the probabilistic prediction of depth for unseen frames. However, this makes it unrealistic due to its requirement for large amount of annotated depth samples of video. In addition, the probabilistic nature of the case, where one past can have multiple future outcomes often leads to incorrect depth estimates. Unlike previous methods, we model the depth estimation of the unobserved frame as a view-synthesis problem, which treats the depth estimate of the unseen video frame as an auxiliary task while synthesizing back the views using learned pose. This approach is not only cost effective - we do not use any ground truth depth for training (hence practical) but also deterministic (a sequence of past frames map to an immediate future). To address this task we ﬁrst develop a novel depth forecasting network DeFNet which estimates depth of unobserved future by forecasting latent features. Second, we develop a channel-attention based pose estimation network that estimates the pose of the unobserved frame. Using this learned pose, estimated depth map is reconstructed back into the image domain, thus forming a self-supervised solution. Our proposed approach shows signiﬁcant improvements of ∼ 5% / 8% in Abs Rel metric compared to state-of-the-art alternatives on both short and mid-term forecasting setting, benchmarked on KITTI and Cityscapes.
Winter season Southern Ocean distributions of climate-relevant trace gases

Abstract. Climate-relevant trace gas air–sea exchange exerts an important control on air quality and climate, especially in remote regions of the planet such as the Southern Ocean. It is clear that polar regions exhibit seasonal trends in productivity and biogeochemical cycling, but almost all of the measurements there are skewed to summer months. If we want to understand how the Southern Ocean affects the balance of climate through trace gas air–sea exchange, it is essential to expand our measurement database over greater temporal and spatial scales, including all seasons. Therefore, in this study, we report measured concentrations of dimethylsulfide (DMS, as well as related sulfur compounds) and isoprene in the Atlantic sector of the Southern Ocean during the winter to understand the spatial and temporal distribution in comparison to current knowledge and climatological calculations for the Southern Ocean. The observations of isoprene are the first in the winter season in the Southern Ocean. We found that the concentrations of DMS from the surface seawater and air in the investigated area were 1.03 ± 0.98 nmol−1 and 28.80 ± 12.49 pptv, respectively. The concentrations of isoprene in surface seawater were 14.46 ± 12.23 pmol−1. DMS and isoprene fluxes were 4.04 ± 4.12 µmol m−2 d−1 and 80.55 ± 78.57 nmol m−2 d−1, respectively. These results are generally lower than the values presented or calculated in currently used climatologies and models. More data are urgently needed to better interpolate climatological values and validate process-oriented models, as well as to explore how finer measurement resolution, both spatially and temporally, can influence air–sea flux calculations.
Alpinetin: anti-human gastric cancer potential and urease inhibition activity in vitro

Introduction Alpinetin is the bioactive component of a traditional Chinese medicine. This compound, one of the main constituents of the seeds of Alpinia katsumadai Hayata, is a member of the flavonoids, with anti-inflammatory, antibacterial, and other significant therapeutic activities of important potency and low systemic toxicity. Material and methods In our study, the inhibitory effect of isoliquiritigenin on HMG-CoA reductase showed a lower value of IC50 = 21.86 ±1.44 μg/ml. A molecular docking study was performed as a complementary study to provide additional data about the biological activities of alpinetin in the presence of urease. The docking calculations revealed that alpinetin with a docking score of –5.097 (kcal/mol) has an acceptable binding affinity to the enzyme, and because of various hydrophobic contacts and hydrogen bonds created by this chemical compound, alpinetin could be considered as an adequate inhibitor of urease. Results In the cellular and molecular part of the study, the cells treated with alpinetin were assessed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay for 48 h as regards the cytotoxicity and anti-human gastric carcinoma properties towards normal (human umbilical vein endothelial cells (HUVECs)) and gastric carcinoma cell lines, i.e. SNU-1, Hs 746T, and KATO III. The IC50 values of alpinetin were 426, 586, and 424 μg/ml against SNU-1, Hs 746T, and KATO III cell lines, respectively. The viability of the malignant gastric cell line decreased dose-dependently in the presence of alpinetin. Conclusions It seems that the anti-human gastric carcinoma effect of the investigated molecule is due to its antioxidant effects.