bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automated device for simultaneous photometry and electrophysiology in freely moving animals
Authors: De Corte Benjamin , Kim Youngcho , Heslin Kelsey , Freeman John , Simpson Eleanor , Parker Krystal , Balsam Peter 
Published: April 2024

Abstract

Photometry and electrophysiology are powerful tools for investigating brain-behavior relationships. Combining these techniques would allow us to ask previously un-addressable questions, such as how neuromodulators impact neuronal firing rates. Current options are highly limited—requiring a substantial loss in data-quality or severely restricting naturalistic-movement. These drawbacks arise from engineering-limits on devices that allow optically-tethered subjects to move freely. Here, we introduce a device that overcomes these challenges. Its automated orientation-tracking system allows subjects to move freely for multiple-hours with minimal supervision and without sacrificing data-quality. The device is modular and adaptable, being compatible with most recording systems and equipped for added functionality (e.g., optogenetics). To demonstrate its utility, we simultaneously tracked extracellular striatal dopamine and single-neuron firing as mice performed a reward-learning task. Mice showed excellent mobility, and we observed robust trial-by-trial correlations between striatal firing and dopamine signaling. This device provides a powerful tool that outperforms current commercial solutions.
HAD:A Prototype Of Dataflow Compute Architecture
Authors: Luo Qiuming , Zhao Wenjie , Wen Zhiwei , Xu Pengxiang , Du Haixin , Zheng Du 
Published: April 2024

Abstract

To investigate the features, implementation, and applications of data flow architecture, a novel dataflow computing system, HAD (Hardware Accelerated Dataflow), is proposed. This system enhances the traditional control flow processor by integrating a dataflow component.HAD introduces two specialized instructions to the RISC ISA and provides OS system calls for applications. Users can execute programs that adhere to the dataflow execution model on the system, enabling synchronization and mutual exclusion between processes through the inherent characteristics of dataflow computing.We further analyze how our dataflow computing can reduce the overhead of OS system calls for synchronization and mutual exclusion between processes.Lastly, we perform simulations using Verilator, implement the system on an FPGA device based on the RISC-V prototype architecture, and transplant a miniature operating system for it. We evaluate its performance using EPCC Microbenchmarks. The simulation and physical experiment results indicate that when the number of processes is substantial, the system exhibits a time reduction of up to 29\% compared to the traditional approach. The simulation results closely correspond to the actual outcomes.
Study the Sensing Properties of Gold, Silver, and Aluminium Coupling Plasmon Nano-Sphere and Homo-Dimers
Authors: Hadi E. M. , Naji R M , Khalee H. L. , Saadoon N. M. , Mohammed M. N. , Abdullah Thamer Adnan , Abdullah Oday 
Published: April 2024

Abstract

FDTD simulations are used to investigate the homo- dimer nanostructures as localized surface plasmon resonance when the predicted LSPR wavelengths of Ag, Au, and Al nanospheres in a homo-dimer arrangement are equated, the findings show that the Ag and Al homo-dimer exhibits a higher LSPR shift than the Au homo-dimer. Enhancements in intensity are brought about in the junction as a result of the interaction between the homo-dimer nanoparticle and it. It has been determined that the field enhancement for homo-dimer nanostructures composed of gold, silver, and aluminum has been compared, and theoretically, values in the visible range of DU.v-U.v. have been projected to be between 108 and 109.
Optimizing Thermoelectric Properties of PEDOT: PSS/Bi 2 Te 3 /reduced Graphene Oxide Ternary Composite Films for Energy Harvesting Applications
Authors: Rathi Vaishali , Singh Kamal , Parmar K. P.S. , Brajpuriya Ranjeet K. , Kumar Ashish 
Published: April 2024

Abstract
We present a notable improvement in the TE efficiency of PEDOT: PSS through the fabrication of composite films incorporating Bi2Te3 and rGO. A set of five PEDOT: PSS/Bi2Te3 /rGO ternary composite films samples, namely, (a) PEDOT: PSS (b) PEDOT: PSS /0.4BT% Bi2Te3 (c) PEDOt :PSS/0.4% Bi2Te3 /0.1% rGO (d) PEDOT: PSS /0.4% Bi2Te3 /0.2% rGO, and (e) PEDOT: PSS /0.4% Bi2Te3 /0.3% rGO, were used for investigations, Using XRD, Raman, SEM, and XPS the Structural property and morphological characterstics of the composite films were thoroughly examined. At ambient temperature, the 0.1 rGO ternary composite film exhibited the highest electrical conductivity of 18.21 Scm-1, Seebeck coefficient of 15.5 ΜvK-1, and a power factor of 11.39 μWm-1 K-2. This value represents 5-6 times more than pristine PEDOT: PSS film. The observed notable enhancements can be ascribed to the highly structured arrangement of PEDOT chains on the surface of rGO. This alignment is a result of the strong interfacial interaction between PEDOT: PSS and rGO, as well as the separation of PEDOT and PSS phases. The findings of this study present an apparent and promising route for the utilization of PEDOT: PSS in the field of most promising and high-efficient TE conversion process.
Co-creation of an evidence-based toolkit to facilitate communication on complementary medicine between conventional and complementary healthcare practitioners in the Netherlands
Authors: Mulder Louise TC , Busch Martine , Demmers Armelle , Wietmarschen Herman A van 
Published: April 2024

Abstract
Background: The Dutch health care system is in need for guidance and implementation of complementary care of which shared decision making, communication and referral between conventional and complementary care practitioners are major components. A Dutch quality register for complementary healthcare practitioners (RBCZ) was interested to adopt and implement an improved version of a communication toolkit developed in an earlier project. The aim of this study was to improve the communication and collaboration between member practitioners of RBCZ and conventional healthcare practitioners.
Methods: The set of communication tools was updated and expanded with new tools in a co-creation process with conventional and complementary healthcare practitioners in three field labs; Utrecht, Amsterdam and the north of the Netherlands. Thematic focus group discussions were held to define the content and implementation of the toolkit. A pragmatic evidence-based decision aid for the respective complementary care modalities was developed based on a literature assessment and Strength Of Recommendation Taxonomy (SORT) criteria.
Results The final evidence-based toolkit consisted of seven communication tools, covering the themes: getting to know each other, communication, frame letters, decision aid with evidence-based recommendations for 13 complementary therapies and 6 indications, and support for communication of the RBCZ members/professional associations and implementation.
Conclusions: The evidence-based toolkit will be made available to 25 professional associations covering over 9.500 complementary healthcare practitioners in the Netherland (RBCZ). The regional collaboration amongst complementary healthcare practitioners was strengthened as well as between complementary and conventional healthcare practitioners.
A second life for the crystallographic structure of Berenil-dodecanucleotide complex: a computational revisitation thirty years after its publication
Authors: Novello Gianluca , Dodaro Andrea , Menin Silvia , Cavastracci Chiara , Sturlese Mattia , Salmaso Veronica , Stefano Moro 
Published: April 2024

Abstract

This study revisits the pioneering work of Professor Neidle, and co-workers, on the crystal structure of complexes formed between groove binders and DNA sequences. The original research revealed a DNA-ligand complex consisting of a dodecanucleotide bound with Berenil [1,3-bis(4'-amidinophenyl)-triazene] an anti-trypanocidal drug. This article aims to delve deeper into the structural dynamics of this system, showcasing the role played by water molecules in stabilizing the interaction between the ligand and the DNA. With this work, we reevaluate the findings from the original crystallographic study by employing modern molecular dynamics techniques, including Supervised Molecular Dynamics (SuMD) for generating binding trajectories, Thermal Titration Molecular Dynamics for assessing unbinding events, and AquaMMapS to identify regions occupied by stationary water molecules. The study addresses a minor and a major groove binding mode and assesses their strength and specificity using TTMD simulations, generating unbinding trajectories. This comprehensive approach integrates the understanding of the interaction of this DNA-ligand complex, which originated with the valuable work of Professor Neidle, resulting in an in-depth insight into the pivotal role of water molecules with this DNA, a behavior detected and extendable even to other nucleic acid complexes.
Detecting PEGs in real-world cosmetic products using ToF-SIMS
Authors: Shen Yanjie , Son Jiyoung , Yu Xiao-Ying 
Published: April 2024

Abstract
Polyethylene glycols (PEGs) are used in industrial, medical, health care, and personal care applications. The cycling and disposal of synthetic polymers like PEGs pose significant concerns. Detecting and monitoring PEGs in the real world calls for immediate attention. This study unveils the efficacy of time-of-flight secondary ion mass spectrometry (ToF-SIMS) as a reliable approach for precise analysis and identification of reference PEGs and PEGs used in cosmetic products. By comparing SIMS spectra, we show remarkable sensitivity in pinpointing distinctive ion peaks inherent to various PEG compounds. Moreover, the employment of principal component analysis (PCA) effectively discriminates compositions among different samples. Notably, the application of SIMS two-dimensional (2D) image analysis visually portrays the spatial distribution of various PEGs as reference materials. The same is observed in authentic cosmetic products. The application of ToF-SIMS underscores its potential in distinguishing PEGs within intricate environmental context. ToF-SIMS provides an effective solution to studying emerging environmental challenges, offering straightforward sample preparation and superior detection of synthetic organics in mass spectral analysis. These features show that SIMS can serve as a promising alternative for evaluation and assessment of PEGs in terms of the source, emission, and transport of anthropogenic organics.
Kinematic performance-oriented tool orientation optimization for a hybrid machining robot in five-axis ball-end milling
Authors: Zhang Weijia , Shi Zikang , Ding Ye 
Published: April 2024

Abstract

Five-axis hybrid robots are more extensively used in the machining of complex parts,
owing to their high dynamic performance and flexible attitude adjustment. Ball-end milling is
widely used in sculptured surface machining. Tool orientations can be adjusted for higher machining
efficiency and better cutting performance. However, hybrid robots’ complex kinematic structures
raise challenges to tool orientation planning. To generate a smooth toolpath that has a good cutting
performance and satisfies all the geometric and mechanical constraints, a tool orientation
optimization model is presented. The weighted sum of the joint kinematic performance index and
the effective tool diameter indexes are taken as the objective function. By constructing the robot
workspace in advance, the computation in the generation of feasible tool orientation regions is
reduced. The feasible orientation regions are further simplified as linear inequality constraints which
are updated during iteration. In each iteration, the initial nonconvex optimization problem is locally
approximated by a convex problem and solved by quadratic programming (QP). Simulations and
experiments are conducted for validation of the proposed method.
Synergistic Effect of Chlorine and Reaction Parameter Effect on Addition of Sulphur to CNTs and Their use as Electrocatalysts for ORR and OER
Authors: Maboya Winny Kgabo , Maubane-Nkadimeng Manoko Stephina 
Published: April 2024

Abstract

Electrocatalysts with high activity towards both oxygen reduction and evolution reaction are desirable for metal-air batteries. However, most commercially used electrocatalysts result in sluggish kinetics for these oxygen reactions, and different catalysts are usually used for each oxygen reaction. The development of efficient electrocatalysts that can facilitate both reactions, with low overpotentials resulting in less energy consumption is desirable. Herein we report secondary data analysis for materials developed in our previous study, FeS2 electrocatalyst supported on chlorinated carbon nanotubes (ClCNTs) using chemicals that are not harsh chemicals and investigated its catalytic activity towards ORR and OER. FeS2 nanoparticles were produced by thermal annealing of ClCNTs in thiophene at different annealing temperatures. The effect of thiophene volume and reaction time on the growth of FeS2 nanoparticles was also evaluated. The size of FeS2 nanoparticles coated on the surface of ClCNTs increased with an increase in thermal annealing reaction time, and this reduced the catalytic activity of the materials. Whereas as the volume of thiophene was increased during the production of FeS2-loaded ClCNTs, no FeS2 nanoparticles were observed on the surface of the ClCNTs. ClCNTs annealed at 900 °C showed the greatest growth of FeS2 nanoparticles on their surface and provided the greatest enhancement of the ORR and OER activities, evidenced by the low Tafel slope of 63 mV/dec and low overpotential of 252 mV. The number of electrons involved during the reduction of oxygen was found to be 4, which means that the formation of water was favorable when using this electrocatalyst. In our previous study only, cyclic voltammetry was used to evaluate the electrocatalytic activity of the materials toward ORR.
Refinement of an Evidence-based Mobile Produce Market Intervention Toolkit: The Veggie Van Toolkit
Authors: Kasprzak Christina , Tirabassi Jill , Lally Anne , Novak Lianne , Lev Sam , Vermont Leah , Leone Lucia 
Published: April 2024

Abstract

Background
The Veggie Van (VV) is an evidenced based intervention for addressing food access disparities and is disseminated through an online toolkit. Toolkits should be continually evaluated to understand the barriers to knowledge translation and their effectiveness. Understanding the user experience of the VV toolkit is crucial to inform its refinement and ensure future implementation success and positive public health impact.
Methods
We conducted semi-structured interviews with representatives from established mobile market organizations and frequent toolkit users to understand their experience. We asked interviewees about their familiarity and utilization of the toolkit, experience navigating, feedback on specific content, comprehension of the evidence base, and feedback on training and technical assistance options. All interviews were recorded, transcribed, and memos were written for each interview to summarize the data. Memos were then analyzed in ATLAS.ti 8.0 qualitative software using a codebook of themes informed by the interview guide. Reports were generated for each code and used to summarize findings across all interviews.
Results
The majority of interviewees were previously familiar with the VV toolkit and had used it in their work or referred others to it. The toolkit was perceived to be thorough and well-done, but more appropriate for an organization starting a MM. Interviewees cited that the toolkit facilitated planning for markets and bolstered their legitimacy in conversations with stakeholders. Most could not accurately define the core tenets of the evidence base and it was unclear to what degree practitioners are implementing its practices. Many of the suggestions were related to improving content to be more specific and practice-based, offering a variety of recommendations rather than one, and including more case studies and resources from other MM organizations.
Conclusions
This evaluation provided valuable feedback on the perceptions and utility of our online toolkit as well as comprehension of the evidence base. Applying these findings to improve our toolkit will be integral to supporting implementation and ensuring the effectiveness of the intervention. Future evaluation should investigate which support tools are appropriate for more experienced practitioners, include objective measures (i.e., website analytics), and assess the proposed impact of our proposed toolkit changes.
TOP2DFVT: An Efficient Matlab Implementation for Topology Optimization based on the Finite-Volume Theory
Authors: Araujo Marcelo Vitor Oliveira , Júnior Arnaldo dos Santos , Filho Romildo dos Santos Escarpini , Lages Eduardo Nobre , Cavalcante Márcio André Araújo 
Published: April 2024

Abstract

The finite-volume theory has shown to be numerically efficient and stable for topology optimization of continuum elastic structures. The significant features of this numerical technique are the local satisfaction of equilibrium equations and the employment of compatibility conditions along edges in a surface-averaged sense. These are essential properties to adequately mitigate some numerical instabilities in the gradient version of topology optimization algorithms, such as checkerboard, mesh dependence, and local minima issues. Several computational tools have been proposed for topology optimization employing analysis domains discretized with essential features for finite-element approaches. However, this is the first contribution to offer a platform to generate optimized topologies by employing a Matlab code based on the finite-volume theory for compliance minimization problems. The Top2DFVT provides a platform to perform 2D topology optimization of structures in Matlab, from domain initialization for structured meshes to data post-processing. This contribution represents a significant advancement over earlier publications on topology optimization based on the finite-volume theory. In these earlier investigations, an efficient code was not provided. Furthermore, the Top2DFVT algorithm is based on the SIMP and RAMP material interpolation methods and employs sensitivity and density filters, leading to a more powerful tool. This algorithm is applied to some illustrative examples, demonstrating its effectiveness.
On Symplectically Harmonic Betti Numbers
Authors: Bynnud Shanborlang , Singh Angom Tiken 
Published: April 2024

Abstract

Brylinski introduced the symplectic analogue of harmonic forms on symplectic manifolds, thereby defining the symplectically harmonic cohomology space of a symplectic manifold. In this paper, we derive a formula for determining the sym-plectically harmonic Betti numbers of an arbitrary symplectic manifold of finite type, based on the dimensions of the kernels of the Lefschetz homomorphisms. Utilizing this formula, we compute the symplectically harmonic Betti numbers of a specific class of 4-dimensional symplectic manifolds, namely, McMullen-Taubes symplectic 4-manifolds, which includes the Kodaira-Thurston symplectic nilmanifold as a special case.
MSC Classification: 53D05 , 53D35 , 57R17 , 57K43
Unveiling the Influence of Social Networks on Technology Adoption and Entrepreneurial Triumph in Bangladesh
Authors: Mamun Shahriar 
Published: April 2024

Abstract
This study explores the complex relationship between social networks, the adoption of technology, and the achievement of business success. This research seeks to shed light on the processes by which social networks impact the adoption of technology among entrepreneurs and, in turn, enhance their success. This will be achieved via conducting thorough interviews and using theme analysis. The results highlight the importance of social capital, sharing of knowledge, and the structure of networks in influencing entrepreneurial choices and results in the digital era. Entrepreneurs use their social networks to access knowledge, resources, and possibilities for cooperation. They tap into the collective wisdom and assistance of their peers, mentors, and industry connections. Network diversity, centrality, and connection are important elements that significantly impact entrepreneurial choices and results. These qualities allow entrepreneurs to get access to valuable resources, establish strategic alliances, and position themselves effectively within entrepreneurial ecosystems. In addition, the emergence of digital platforms and online communities has fundamentally changed the way social networks operate, offering businesses unparalleled chances for worldwide connectedness and cooperation. Nevertheless, the presence of obstacles such as excessive information, biased algorithms, and privacy issues highlights the need of skillfully navigating digital networking sites. Practical implications are advocating for diversity and inclusion in business ecosystems, cultivating networking abilities via entrepreneurship education programs, and supporting active involvement with social networks among entrepreneurs. Moreover, potential areas for future study including longitudinal studies aimed at investigating the evolution of social networks over time, comparative studies conducted across various cultural settings, and interdisciplinary research endeavors focused on integrating knowledge from several domains. This research enhances our comprehension of how social networks influence the uptake of technology and the achievement of entrepreneurial goals in the digital era. It provides significant information for legislators, educators, ecosystem facilitators, and entrepreneurs.
Numerical Analysis of the Desktop CPU's Straight Heatsink via a CFD Simulation Method to Achieve the Optimum Heatsink
Authors: Dipu Md Nazmul Hasan , Apu Mahbub Hasan , Chowdhury Pritidipto Paul 
Published: April 2024

Abstract
The straight heat sink is one of the most common heat transfer components for desktop CPUs in order to manage the dissipation of heat generated by the microprocessor. The primary goal of this study was to find out the optimal straight heat sink, initially by investigating three different fin thicknesses and several fin numbers in order to get the global minimum microprocessor temperature situation for each of those three different fin thicknesses, and finally by considering the mass and temperature of the heat sink in each of those three critical situations in order to get the optimal one. The CFD simulation method was applied to analyze the present study. Solidworks® software was used for both creating CAD models and performing simulations. Initially, it was found that each of the three different fin thicknesses had a turning point at which the microprocessor’s temperature was at its minimum. Later, the weight of the heat sink was also measured at those turning points. Firstly, the heat sink, whose thickness was 1 mm, had a microprocessor temperature of about 83.52 degrees Celsius and a weight of 307.80 grams. Secondly, the heat sink, whose thickness was 1.5 mm, had a microprocessor temperature of about 86.50 degrees Celsius and a weight of 388.80 grams. Thirdly, the heat sink, whose thickness was 2mm, had a microprocessor temperature of about 89.60 degrees Celsius and weighs 448.2 grams. Therefore, the heat sink with less fin thickness was the best one under the criteria of minimum microprocessor temperature and minimum heat sink mass. Because an optimum heat sink—for studied model, fin thickness of 1mm and number of fins of 21—provides a panacea for minimum material cost, light weight, and minimum microprocessor temperature.