bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuromodulator release in neurons requires two functionally redundant calcium sensors
Authors: van Westen Rhodé , Poppinga Josse , Díez Arazola Rocío , Toonen Ruud F. , Verhage Matthijs 
Published: April 2021

SignificanceNeuromodulators are released by most neurons and control many brain functions, but their release mechanism remains largely elusive. Calcium sensors for other secretory pathways have been characterized but not for neuromodulator release in the brain. Using release assays with single-vesicle resolution in living neurons, we identify the sensors that drive neuromodulator release from dense core vesicles. Neuromodulator release depends equally on two sensors, Syt1 and Syt7, that are both rate limiting for release and compensate for each other upon overexpression (cross-rescue), despite being in different locations in the cell. These data show that the mechanism of neuromodulator secretion is different from previously studied systems.
Coupled oscillation and spinning of photothermal particles in Marangoni optical traps
Authors: Kim Hyunki , Sundaram Subramanian , Kang Ji-Hwan , Tanjeem Nabila , Emrick Todd , Hayward Ryan C. 
Published: April 2021

Significance
Oscillators, widely found in nature, form the basis of a wide variety of actuating and signal processing mechanisms. While the ability to mimic arrays of oscillators and control their coupling is a central goal in the field of bioinspired soft materials, this has been difficult to achieve. Using Marangoni forces generated during spatially inhomogeneous illumination of photothermally responsive particles, we demonstrate a scheme for optically trapping arrays of particles at air–water interfaces that can incite a range of oscillatory and spinning behaviors. When multiple objects are arranged in proximity, they exhibit complex, collective behavior emerging from geometry-dependent interparticle coupling. This route to achieving collective motion is expected to open opportunities in the study of active materials.
Spontaneous formation of multilayer refractory carbide coatings in a molten salt media
Authors: Constantin Loic , Fan Lisha , Pouey Mathilde , Roger Jérôme , Cui Bai , Silvain Jean-François , Lu Yong Feng 
Published: April 2021

Significance
Multilayer coatings of refractory materials are of significant interest for extreme environment applications. Yet, the strong covalent bonding of refractory materials and the complexity of synthesizing multilayer structures impedes their development. Our work presents a fast, easy, and low-temperature synthesis of complex multilayer carbide coatings via a spontaneous reaction in a molten salt media. The synergistic reactions that yield the multilayer coating on carbon fibers depend on metal dissolution and diffusion in the salt media. We demonstrate that the synthesized multilayer coating possesses superior harsh environment resistance compared to single-layer coatings. The proposed synthesis method provides an effective route of producing complex oxidation barriers in an easy, scalable, and affordable manner, holding great promise for developing functional coatings.
The length of tibialis anterior does not influence force steadiness during submaximal isometric contractions with the dorsiflexors
Authors: Tsatsaki Eirini , Amiridis Ioannis G. , Holobar Ales , Trypidakis Georgios , Arabatzi Fotini , Kellis Eleftherios , Enoka Roger M. 
Published: April 2021

ABSTRACTThe purpose of the study was to assess the influence of short, intermediate, and long muscle lengths on dorsiflexor force steadiness and the discharge characteristics of motor units in tibialis anterior during submaximal isometric contractions. Steady contractions were performed at 5 target forces (5, 10, 20, 40, and 60% maximal voluntary contraction, MVC) for 3 ankle angles (75°, 90°, and 105°). MVC force was less (p = 0.043) at the smallest joint angle compared with the other two angles. The absolute (standard deviation) and normalised amplitudes (coefficient of variation) of the force fluctuations were similar for all 3 ankle angles at each target force. The coefficient of variation for force decreased progressively from 5% to 20% MVC force and then it plateaued at 40% and 60% MVC force. At all target forces, the mean discharge rate (MDR) of the motor units at 75° was greater than at 90° (p = 0.006) and 105° (p = 0.034). Moreover, the MDR was similar for 5% and 10% MVC forces and then increased gradually until 60% MVC force (p < 0.005). The variability in discharge times (coefficient of variation for interspike interval) and variability in neural drive (coefficient of variation of filtered cumulative spike train) were similar at all ankle angles. Variability in neural drive had a greater influence on force steadiness than did the variability in discharge times. Changes in ankle‐joint angle did not influence either the normalised amplitude force fluctuations during steady submaximal contractions or the underlying modulation of the discharge characteristics of motor units in tibialis anterior.
Influence of relative phase on the nonsequential double ionization process of CO2 molecules by counter-rotating two-color circularly polarized laser fields
Authors: Peng Mian , Bai Li-Hua , Guo Zhen 
Published: April 2021

Abstract
We investigate the nonsequential double ionization (NSDI) of linear triatomic molecules by the counter-rotating two-color circularly polarized (CRTC) laser fields with a classical ensemble method. The results of the simulation reveal that NSDI yield strongly connected with the relative phase. The trajectory tracking method shows that the return time of the electron is controlled by the relative phase. In addition, when we change the CRTC laser wavelengths, the relative phase of the maximum and minimum yield of NSDI also changes. This shows that the influence of the Coulomb potential in the triatomic molecules on the electron return process cannot be ignored. This work will effectively promote the electronic dynamics study of NSDI for the triatomic molecule.
Optimized efficiency at maximum

Ω̇

figure of merit and efficient power of power law dissipative Carnot-like heat engines
Authors: Nilavarasi K , Ponmurugan M 
Published: April 2021

Abstract
In the present work, a power law dissipative Carnot-like heat engine cycle of two irreversible isothermal and two irreversible adiabatic processes with finite time non-adiabatic dissipation is considered and the efficiency under two optimization criteria

Ω

̇

figure of merit and efficient power, χ
ep is studied. The generalized extreme bounds of the optimized efficiency under the above said optimization criteria are obtained. The lower and upper bounds of the efficiency for the low dissipation Carnot-like heat engine under these optimization criteria are obtained with the dissipation level δ = 1. In corroboration with efficiency at maximum power, this result also shows that the presence of non-adiabatic dissipation does not influence the extreme bounds on the efficiency optimized by both these target functions in the low dissipation model.
Effect of Various Coordinate Points on Social Media
Authors: Ridho Lubis Arif , Zarlis Muhammad , Nasution Zulkifli , Gunawan  
Published: April 2021

Abstract
Currently information technology has developed rapidly, many have implemented information technology in various fields. It is undeniable that Indonesian people often use social media to interact indirectly, for example uploading vacation photos. But with the rapid advancement of technology itself to find someone’s personal data on the internet today is not something difficult. Conscious or not, many internet users are ignorant of their privacy. What they do in the real world are sometimes all shared on social media in the form of photos or status updates, without choosing which ones can be seen by the public and which will not have a negative impact and can be dangerous for users of social media itself. On the one hand, the location of the presence of the user’s coordinate point is one sensitive information that may not every day other people need to know because it can endanger the user Other people know where the user is when the user posts a photo or status update, the user indirectly notifies where the User is at that time.
Asset Management Information and Tracking System With QR Code Based on the Human Centred Design Method
Authors: Benrahman  
Published: April 2021

Abstract
At the moment almost surely in all establishments or companies having an inventory system, especially about the processing assets, to get information about the asset takes time and cannot be instantly able to display the data. Based on the above problem, the author doing research is to obtain information about the asset information easily, quickly. The method used is to add a QR Code on a label pasted on each asset. Data from the QR code scanned through Android smartphone in the get information directly. In the research tried to research by optimizing the existing inventory system in the modification by adding a web address in the QR Code labels. Using the scan QR has become the default standard Android smartphone in every new. The author sure this article could be useful for anyone who uses the Inventory can be optimal. The results of this application are anyone able to get the status of existing asset information about QR Code, once done testing and implementation results are 99.9% valid.
Smart Tourims: Decision Support Systems In The Strategic Location Of Inn/Hotel For Travelers Using The Naive Bayes Algorithm
Authors: Husain  , Zarlis Muhammad , Wahyudi Mochamad , Santoso Heroe , Tamando Sihotang Hengki , Fitriani Nurul 
Published: April 2021

Abstract
This research makes the system in decision making for tourists who will visit an area. In making decision decision systems using the Bayes algorithm. Bayes’s theorem was put forward by a 1763 British Presbyterian minister named Thomas Bayes. In this study Bayes’s theorem is used to calculate the probability of occurrence of an event based on the influence obtained from the observations. In this paper, the Naive Bayes algorithm is used to support the Decision Making System (DSS) to determine the best and strategic location in determining hotel accommodations, especially for tourists who are associated with having mediocre funds in traveling to Lombok Island. In this study applied a number of criteria and data sets obtained from questionnaires from some visiting tourists. There are 3 variables including Hotel Prices, Distance, and the presence or absence of transportation from tourist destinations, from the three variables, to the training dataset. So that in the future there will be questions in the form of data testing to answer the decision whether the hotel can be take or not by looking at the highest probability value.
Assessing the Symbiotic Organism Search Variants using Standard Benchmark Functions
Authors: Asyikin Zainal Nurul , Din Fakhrud , Zamli Kamal Z. 
Published: April 2021

Abstract
Symbiotic Organism Search (SOS) is one of the latest meta-heuristic algorithms created to solve optimization problems. Combining the fact that this new algorithm is parameter-less (no need for tuning) and having a superior performance compared with other meta-heuristic algorithms, the interest to investigate and enhanced this algorithm had emerged. In this paper, we present a new version of SOS by looping the current algorithm rather than doing it one after the other. The target of this paper is to find the effect of changing the structure of algorithm from the original SOS using selected benchmark functions. Our findings indicate that using a loop structure can improve the solution in some of the benchmarks functions as compared to the original SOS.
Network Performance Optimization using Dynamic Enhanced Interior Routing Protocols Gateway Routing Protocol for IPv6 (EIGRPv6) and IPv6 Access Control List
Authors: Wahyudi Mochamad , Firmansyah  
Published: April 2021

Abstract
Internet network needs are increasingly rapid in supporting current business needs. This goes hand in hand with requests for IP Address allocations for companies to measure information and business needs. The increasing demand for current IP Address allocation, the fewer the number of IP Addresses available. To fulfill the demand from the use of IP Address, Internet Protocol version 6 (IPv6) or internet protocol was adopted as the next-generation Internet technology. Exchange of IP Address in computer network cannot be separated from the existence of routing protocol. Enhanced Interior Gateway Routing Protocol (EIGRP) also developed with the use of IPv6 to EIGRP for IPv6 (EIGRPv6). The EIGRPv6 routing concept is designed so well that it is capable of handling table routing that is very large and more efficient than the previous EIGRP. In large-scale computer networks must use good security. One method of network security is the Access Control List (ACL) capable of supporting the performance of IPv6. The application of ACL in this study is able to filter the access of network users by using IPv6 Extended ACL. Based on the results of EIGRPv6 network testing, the average packet delivery time is 7.6ms. And the application of IPv6 ACL is able to limit access to Web Servers, ICMP and FTP Servers properly.
Access Control: Ciphertext Policy - Attribute Based Encryption in Cloud Computing
Authors: Muhammad Norhidayah , Mohd Zain Jasni 
Published: April 2021

Abstract
Access control and confidentiality is important features for cloud storage. The cloud service allows data owner to outsource their data to the cloud and through which provide the data access to the users. Although cloud computing brings many benefits, it may suffer from conventional distributed systems’ security attacks. Because the cloud server and the data owner are not in the same trust domain, the semi-trusted cloud server cannot be relied to enforce the access policy. However, storing the data in the untrusted cloud server leads the privacy and access control issues in the cloud. The traditional encryption schemes such as symmetric and asymmetric schemes are not suitable to provide the access control due to lack of flexibility and fine-grained access control. One of the prominent cryptographic technique to provide privacy and fine-grained access control in cloud computing is Attribute Based Encryption. In this paper, access control ABAC framework will be introduced for cloud storage systems that achieves finegrained access control based on an adapted Ciphertext-Policy Attribute-based Encryption (CP-ABE) approach.
Determination System for House Improvement Recipients In Serdang Bedagai By Using Clustering K-Means Method And Višekriterijumsko Kompromisno Rangiranje (Vikor)
Authors: Andayani U , Efendi S , Siregar N N U , Syahputra M F 
Published: April 2021

AbstractTo improve the welfare of the community, the Government created a program called Bantuan Stimulan Perumahan Swadaya (BSPS) or better known as house improvement program. One of the implementations is in Kabupaten Serdang Bedagai. Therefore, we need a system capable of grouping the house situation of the poor then ranked to determine the priority in obtaining Program Bedah Rumah. For grouping were done using k-means clustering method consists of several criteria: welfare status, number of individuals in the family, type of floor, type of wall material, type of roof, use of toilet facility, type of toilet, and final disposal place. Then in ranking is used one of the multi-attribute decisions making method Višekriterijumsko Kompromisno Rangiranje (VIKOR). The criteria were used in ranking are the sources of drinking water, the primary lighting source and the cooking fuel. From the test results of 1,180 poor households (RTM) data produced 3 clusters of 538 RTM in cluster 1, then 593 RTM on cluster 2 and 49 RTM on cluster 3. The house improvement program assistance on the first year will be given to 185 RTM, then second year for 162 RTM, third year for 300 RTM, fourth year for 250 RTM, fifth year for 150 RTM and the last year for 133 RTM.
Structural Optimization of Frame of the Multi-Rotor Unmanned Aerial Vehicle through Computational Structural Analysis
Authors: Aswin Kumar V , Sivaguru M , Rohini Janaki B , Sumanth Eswar K S , Kiran P , Vijayanandh R 
Published: April 2021

Abstract
Because of the flexible working nature, the Multi-Rotor Unmanned Aerial Vehicle (MR-UAV) has been implemented in all kinds of real-time complicated problems. Due to this huge implementation, flawless UAVs have been required and used everywhere. Even though flawless UAVs have emerged, some of the domains in UAVs need to be analysed thoroughly to evolve UAVs without life affecting factors. This work deals with such kind of domain, which is a multi-objective investigation on MR-UAV’s airframe. In which, five different prime MR-UAV’s airframes are constructed, modelled, and computationally solved for three major composite materials and one conventional material. The important selection factors involved in this multi-objective optimization are low-stress induction, less deformation, and high lifetime. The short-listed five platforms of this structural optimization are the “X” frame, “I” frame, “K” frame, “Z” frame, and “+” frame. All these frames are computationally investigated with incorporate the following materials and their relevant mechanical properties: GFRP (Glass Fiber Reinforced Polymer), CFRP (Carbon Fiber Reinforced Polymer), KFRP (Kevlar Fiber Reinforced Polymer), and Aluminium Alloy. Apart from these fundamentals, the involvement of tools and their justifications are played a predominant role in this work. The major tools contributed are CATIA for modelling, ANSYS Workbench for Structural computations. The grid convergence test has been organized in a good manner to validate involved computational procedures. Finally, the suitable MR-UAV”s airframe and it opts material are obtained based on the multi-objective selection factors.
Design of economic PODS to safeguard against contagious diseases using computational fluid dynamics (CFD)
Authors: Prakash Ankit , Sati Nishant , Singh Piyush Pratap , Degala Sajal K. B. , Rawat Anubhav , Pandey Ramesh , Tiwari R.P. 
Published: April 2021

Abstract
The outbreak of SARS-CoV-2, namely Covid-19, one of the greatest pandemics in human history posed some new challenges to the human beings for its prevention and control as it is an airborne respiratory disease and highly contagious. The most common practices suggested by WHO and government of India are; to wear a face mask, keep social distancing etc. It becomes much more important when the whole world is opening its economy. In such situations, there are a number of places where maintaining social distances or wearing a face mask is quite a tough job for example Laboratories and eating messes and canteens of schools and colleges. Thus, the present studies focus on the designing of economic PODS which may be helpful in controlling the spread of airborne disease in mass gathering places like in educational institutions in particular laboratories and eating messes. The present studies first emphasize on the flow field analysis of human cough by assuming it as a turbulent jet using CFD. Then, based on the physical dimensions covered by the coughing jets a further detailed study is conducted on 23 number of PODS of various shapes and sizes using CFD to select a suitable POD so that the effect of coughing in a laboratory/mess can be minimized to contain the infections. A POD with 1 m length and 30 cm height having an arc inside (POD 20) is found to be the best POD to contain the airborne infections.
Modelling of torsional wave propagation in a two-layer anisotropic inhomogeneous media
Authors: Panigrahi Tapas Ranjan , Vishwakarma Sumit Kumar , Majhi Dinesh Kumar 
Published: April 2021

AbstractThe current article reflects the behavior of torsional waves in a two-layer inho-mogeneous model, where rigidities and density vary along with the depth parameter z. The variation for the upper layer and lower half-space has been taken as the product of two exponential functions and the product of one linear and exponential function, respectively. A mathematical model is developed by following the concept of elastic waves. The separation of the variable method has been imposed on both layers in order to calculate the displacement equations. Intrinsic boundary conditions are imposed to derive the frequency equation in closed form. It has been observed a substantial effect of rigidity and density on the phase velocity of the torsional wave. Graphical presentations have been performed in order to support the different findings of the dispersion equation.
Approximation of Fixed Points of (λ, ρ)-Quasi Firmly Nonexpansive Mappings
Authors: Reena  , Panwar Anju 
Published: April 2021

Abstract
The purpose of this paper is to introduce (λ, ρ)-quasi firmly nonexpansive mappings in context of modular function spaces and to prove some basic properties and approximation results for fixed point for these mappings. Further we discuss the concept of summably almost T-stability and also some examples are provided to support our results.
The Optoelectronic Property Analysis of P doped SrGeN2: A First Principle Calculation for Solar Cell Compound
Authors: Gaur A , Khan K , Soni A , Dashora A. , Sahariya J 
Published: April 2021

Abstract
The first principle investigation of P doped SrGeN2 - a wideband semiconductor is undertaken to prove the beneficial usage of the compound in a particular optoelectronic application field. Wideband semiconductor is the semiconductor compound that contains a larger energy gap difference in comparison to the traditional semiconductors. But to utilize the compound in the form of a particular application like solar cell, bandgap engineering for the compound is followed to reduce the bandgap as per required value range. For this purpose, doping feature is introduced in the bandgap engineering procedure and can be done at a particular site to gain the desired energy gap. Thus the investigation of the properties to learn about the optical, electronic and structural features of the P doped SrGeN2 compound is done using the Tran Blaha modified Becke Johnson (TB-mBJ) exchange correlation. The exchange correlation is rooted in the framework of DFT based on the first principle-linear augmented plane wave methodology. This paper deals with varied property analysis schemes like structural, optical and electronic behaviour deployed in DFT framework stating the value of absorption curve and dielectric tensor which is analysed for the optical property study with integrated absorption curve value being 33.681 and static dielectric tensor value ε (ω) being 4.28 in case of P doped SrGeN2 gained through mBJ potential.
Influence of Te doping in titanium dichalcogenides: LCAO calculations and Compton spectroscopy
Authors: Mali D , Kumar K , Jangid P K , Joshi P K , Arora G , Ahuja B L 
Published: April 2021

Abstract
Role of Te doping in titanium disulfide using linear combination of atomic orbitals method and Compton spectroscopy is reported. The theoretical Compton profiles (CPs) of TiSTe derived using various exchange and correlation potentials like Perdew-Burke-Ernzerhof, Perdew-Wang generalized gradient approximation and von Barth-Hedin (VBH) are compared with corresponding experimental CP to check the applicability of considered potentials. From the total and partial density of states, we observe that doping of Te at S site vanishes the narrow band gap of TiS2 leading to metallic character of TiSTe. A good agreement between experimental and VBH potential based CP of TiSTe shows better performance of VBH approximation in this mixed metal-like dichalcogenide.