bluuebunny/crossref_metadata_2025_split huggingface dataset:
Isolation and Characterization of Salt and Temperature Tolerant Plant Growth Promoting Rhizobacteria for Enhancing Tomato Plant Growth in Saline Environments
Authors: . SATYAM , Head A. M. Navale , Kolase S.V 
Published: October 2023

Abstract
The present study was focused on isolation, selection and characterization of salt and temperature tolerant plant growth promoting rhizobacteria from rhizosphere soil of tomato. A total of 46 isolates were developed on Ashby's Mannitol agar media out of 138 rhizobacteria. The medium was supplied with various NaCl concentrations, MgCl2 concentrations, and pH levels to examine the tolerance to salt and temperature. All the forty six isolates showed promising salt tolerance. Out of forty six isolates, nine isolates were extremely salt tolerant (more than 5.4% salt tolerance limit). Two isolate were tolerant to NaCl concentration (2.10–3.6% salt). Nine isolates were moderately tolerant to NaCl concentration (0.09–1.50% salt). Twenty six isolates were moderately sensitive to NaCl concentration (0.15–0.60% salt). On the basis of the salt tolerance limit, rhizobacteria that promote plant growth in salt and temperature-tolerant environments were categorized. Out of forty six isolates, eight isolates showed growth at MgCl2 concentration of 4.0%, two isolates showed growth at 3.0% MgCl2 concentration, thirteen isolates showed growth at 2.0% MgCl2, fifteen isolates showed growth at 1.0% MgCl2 and eight isolates showed growth on 0.5% MgCl2 concentration. Out of the 46 isolates, eight showed growth at pH of 9.0, whereas the other 38 showed development at pH of 7.0. The plant growth promoting activity test was positive for four isolates (Pseudomonas furukawaii STT-A8, Achromobacter sp. STTA-12, Agrobacterium pusense STT-A24, and Agrobacterium pusense STT-A39) out of the forty six total isolates. Pseudomonas furukawaii STT-A8, Achromobacter sp. STT-A12 Shown temperature tolerance limit at 600c and Agrobacterium pusense STT-A24 and Agrobacterium pusense STT-A39 shown temperature tolerance limit at 500c. The experiment was done in order to isolate, pick out, and characterize salt and temperature tolerant plant growth-promoting rhizobacteria that would be a crucial inoculum to enhance tomato plant growth and development in a salty environment. There is currently need to develop highly salt and temperature tolerant plant growth promoting rhizobacterial consortium.
Experimental Investigation of Microparticle Focusing in SiO2 Nanofluids Inside Curvilinear Microchannels
Authors: Nikdoost Arsalan , Rezai Pouya 
Published: October 2023

Abstract
Curvilinear microchannels have enabled high throughput sized-based separation and manipulation of microparticles. Real life applications usually deal with fluid’s non-Newtonian behavior, where particles dynamics are altered compared to Newtonian mediums. Despite multiple reports on particle manipulation in shear-thinning fluids, no fundamental experimental investigation has been reported on microparticle focusing behavior inside shear-thickening fluids such as metallic oxide nanofluids in water (e.g., SiO2-water). These nanofluids pose unique thermal characteristics and exhibit a drastic increase in viscosity as the shear rate rises in the microchannel. Here, we investigate the particle focusing behavior of co-flows of SiO2 nanofluids inside curved microchannels with various channel widths and radii of curvature. We also report on the effect of nanofluid concentration, fluid axial velocity, and the particle size on particle migration. We observed a behavioral change in particle migration in SiO2 nanofluids, where the shear-dependent effect could enhance the particle focusing at lower flow rates. Moreover, the dominance of Dean drag at higher axial velocities would dominate the particle migration and transfer them towards two focusing peaks close to the sidewalls. A thorough investigation of particle behavior in nanofluids inside curved microchannels could enable future applications in heat exchangers, solar energy collectors, and nanoplastic detection.
Economic Policy Uncertainty and Enterprise Export Resilience in China: Dose the Digital Economy Matter?
Authors: Zhu Xiugang , Ye Yunxin 
Published: October 2023

Abstract

Global economic uncertainty is increasing, and the new round of industrial revolution is developing. With the development of the digital economy, it is crucial to clarify the relationship between economic policy uncertainty and the export resilience of enterprises to build a new development pattern. Based on existing theories, this paper empirically analyzes the weakening effect of economic policy uncertainty on firms' export resilience. The study finds that economic policy uncertainty caused by external shocks significantly weakens the export resilience of firms by increasing export transaction costs. It also explores the impact of the development of the digital economy on this weakening effect with Chinese micro-level data. The results show that the development of the digital economy mitigates this weakening effect, and this mitigation effect is more obvious for high-efficiency firms. The findings provide some policy references for understanding the impact of the digital economy on export resilience and promoting the digital economy to achieve high-quality development.
Cost-effective massive computational speedups in simulations of high dimensional dynamical systems
Authors: Biswas Dhrubajyoti , Gupta Sayan 
Published: October 2023

Abstract
High dimensional dynamical systems involve a large number of coupled, generally nonlinear, differential equations that are computationally intensive to simulate, thus requiring expensive computational resources. This paper presents a novel strategy for numerically integrating such systems by utilizing cheaper gaming GPUs and mixed-precision computations. This is facilitated by exploiting the higher single-precision floating-point throughput of gaming GPUs and their relatively cheaper costs which enable packing multiple gaming GPUs into a single compute node. Appropriately parallelizing the algorithm and using mixed-precision computation enables massive computational speedup without severely compromising on accuracy. The potential of these developments is illustrated through a representative high dimensional dynamical system which shows a massive speedup over serial execution, even exceeding 1000-fold for larger-scale systems. These developments have the potential to make a substantial impact on the simulation and exploration of dynamical systems at massive scales without the need for expensive hardware resources.
Contact-electro-catalytic CO2 reduction from ambient air
Authors: Li Zibiao , Wang Nannan , Jiang Wenbin , Yang Jing , Wang Sheng , Li Bofan , Heng Jerry Zhi Xiong , Ong Wai Chung , Tan Hui Ru , Zhang Yong-Wei , Wang Daoai , Ye Enyi 
Published: October 2023

Abstract

Traditional catalytic techniques often encounter obstacles in the search for sustainable solutions for converting CO2 into value-added products because of their high energy consumption and expensive catalysts. Here, we introduce a novel contact-electro- catalysis approach for CO2 reduction reaction (CO2RR), achieving an exceptional CO Faradaic efficiency of 96.24%. The triboelectric nanogenerator (TENG) is made up of electrospun PVDF loaded with single Cu atoms-anchored polymeric carbon nitride (Cu-PCN) catalysts and quaternized cellulose nanofibers (CNF) with strong CO2 adsorption capabilities, allowing CO2RR even at extremely low CO2 concentrations in the ambient air. In compared to the state-of-the-art air-based CO2RR technologies, the contact-electro-catalysis induced CO production attains a record-breaking yield of 33 μmolg-1h-1. Mechanistic investigation shows that chemical adsorption between quaternized CNF and CO2 occurs, allowing for effective CO2 capture in low-concentration conditions. More intriguingly, the single-atom copper in Cu-PCN loaded on PVDF fibers can effectively enrich electrons in triboelectrification, promoting CO2RR. This ground-breaking technique provides a game-changing solution for significantly reducing airborne CO2 emissions while advancing chemical sustainability strategy.
Memristor Crossbar Scaling Limits and the Implementation of Large Neural Networks
Authors: Hasan Raqibul 
Published: October 2023

Abstract
Memristor crossbar-based neural networks perform parallel operation in the analog domain. Ex-situ training approach needs to program the predetermined resistance values to the memristor crossbar. Because of the stochasticity of the memristor devices, programming a memristor needs to read the device resistance value iteratively. Reading a single memristor in a crossbar (without isolation transistor) is challenging due to the sneak path current. Programming a memristor in a crossbar to either RON or ROFF state is relatively straightforward. A neural network implemented using higher precision weights provides higher classification accuracy compared to a Ternary Neural Network (TNN). This paper demonstrates the implementation of memristor-based neural networks using only the two resistance values (RON, ROFF). We have considered the crossbar scaling limits and proposed a novel technique to implement a large neural network using multiple smaller crossbar arrays. We have proposed novel neuron circuits to achieve higher weight precision. Our experimental result shows that the proposed higher precision synapses are easy to program and provide better classification accuracy compared to a TNN. Proposed technique of implementing a large neural network on memristor crossbar circuits has a slight loss in the classification accuracy compared to the software implementation. But the memristor-based implementation uses only 51.7% of the synapses used in the software implementation.
Your language drives me nuts! Fostering Acceptance of Autonomous Vehicles
Authors: Tapia Jose L. , Sánchez-Borda David , Iniesta Carmen , Badea Francisco , Duñabeitia Jon Andoni 
Published: October 2023

Abstract
The societal integration of autonomous vehicles (AVs) hinges significantly on public acceptance, intricately tied to individuals' emotional responses and perceptions. This study delves into the emotional components influencing AV acceptance among the Spanish population, employing a three-pronged methodological approach: lexical selection tasks, a virtual simulation of AV experience, and a questionnaire. This multi-faceted approach enables exploration beyond conventional attitude measures, tapping into the subtle emotional reactions and lexical choices individuals exhibit in response to AVs. We evaluated participants' acceptance across three domains: knowledge about AVs, perception of autonomous driving, and perceived safety during driving, with a particular focus on lexical-emotional analysis post-simulation exposure. Our findings underscore significant gender disparities in AV acceptance, with women exhibiting less knowledge and comfort towards AV technology. The simulation exposure notably enhanced participants' understanding and elicited more positive lexical-emotional responses post-experience. This study highlights the potential of lexical selection tasks in unearthing the emotional nuances influencing AV perception and acceptance, advocating for a broader approach in studying public acceptance of emerging technologies. The insights from this study provide guidance for devising targeted awareness campaigns and immersive experiences to foster a more favorable public disposition towards AVs, considering demographic variances. Future research should apply this methodological framework to diverse populations to further explore the emotional lexicon and its impact on AV acceptance.
Evaluating Effectiveness of Telerehabilitation Services Among Injured Workers Treated in a Canadian Workers’ Compensation System: A Population-Based Study
Authors: Brehon Katelyn , Nagra Gagan , Miciak Maxi , Niemeläinen Riikka , Gross Douglas P. 
Published: October 2023

Abstract
Purpose
To evaluate the effectiveness of telerehabilitation for promoting return-to-work (RTW) among injured workers.
Methods
We conducted a pragmatic, quasi-experimental study comparing telerehabilitation, in-person, or hybrid services. Descriptive statistics analyzed demographics, occupational factors, and patient-reported outcome measures (PROMs). ANOVAs and Kruskal-Wallis tests investigated differences between mode of delivery and changes in PROM scores. Logistic and Cox proportional hazard regression examined associations between mode of delivery and RTW status or days receiving wage replacement benefits in the first year post-discharge, respectively, while controlling for potential confounders.
Results
A slight majority of 3,708 worker sample were male (52.8%). Mean (standard deviation (SD)) age across all delivery formats was 45.5 (12.5) years. Edmonton zone had the highest amount of telerehabilitation delivery (53.5%). The majority of workers had their program delivered in a hybrid format (54.1%) and returned to work (74.4%) at discharge. All PROMs showed improvement although differences across delivery formats were not clinically meaningful. Delivery via telerehabilitation had significantly lower odds of RTW at discharge (Odds Ratio: 0.82, 95% Confidence Interval: 0.70–0.97) and a significantly lower risk of experiencing suspension of wage replacement benefits in the first year following discharge (Hazard Ratio: 0.92, 95% Confidence Interval: 0.84–0.99). Associations were no longer significant when confounders were controlled for.
Conclusion
RTW outcomes were not statistically different across delivery formats, suggesting that telerehabilitation is a novel strategy that may improve equitable access and earlier engagement in occupational rehabilitation. Factors such as gender and geographic location should be considered when deciding on service delivery format.
Implementation of a novel computer assisted telephone follow-up model for older patients after emergency department discharge in an Asian population
Authors: Lee Yen-Chiang , Ho Sam Yu-Chieh , Tan Tian-Hoe , Ho Chung-Han , Tsai Kang-Ting , Yang Pei-Chi , Hsu Chien-Chin , Lin Hung-Jung , Wang Chia-Ti , Huang Chien-Cheng 
Published: October 2023

Abstract

Background
While the impact of telephone follow-up (TFU) for older emergency department (ED) patients is controversial, its effects on the Asian population remain uncertain. In this study, we evaluated the effectiveness of a novel computer assisted TFU model specifically for this demographic.
Methods
At a Taiwanese tertiary medical center, we developed a TFU protocol that included a referral and case management system within the ED hospital information system. We provided TFU to older discharged patients between April 1, 2021, and May 31, 2021. We compared this cohort with a non-TFU cohort of older ED patients and analyzed demographic characteristics and post-ED discharge outcomes.
Results
The TFU model was successfully implemented, with 395 patients receiving TFU and 191 without TFU. TFU patients (median age: 76 years, male proportion: 48.9%) differed from non-TFU patients (median age: 74 years, male proportion: 43.5%). Compared with the non-TFU cohort, the multivariate logistic regression analysis revealed that the TFU cohort had a lower total medical expenditure < 1 month (adjusted odds ratio [AOR]: 0.32; 95% CI: 0.21 − 0.47 for amounts exceeding 5,000 New Taiwan Dollars), and higher satisfaction (AOR: 2.80; 95% CI: 1.46 − 5.36 for scores > 3 on a five-point Likert Scale). However, the TFU cohort also had a higher risk of hospitalization < 1 month (AOR: 2.50; 95% CI: 1.31 − 4.77) compared to the non-TFU cohort.
Conclusion
Computer-assisted TFU appears promising. Further research involving a larger number of patients and validation in other hospitals is necessary to bolster the evidence and extend the findings to a broader context.
Urban Sound Classification using Neural Networks on Embedded FPGAs
Authors: Belloch Jose A. , Coronado Raul , Valls Oscar , Amor Rocio del , Leon German , Naranjo Valery , Dolz Manuel F. , Amor-Martin Adrian , Piñero Gema 
Published: October 2023

Abstract

The sound classification assisted by neural networks has led to high-accurate results. A high number of different applications uses this kind of sound classification, such as: control and monitoring of the number of vehicles on roads or identifying different types of animals in natural environments. While traditional acoustic processing applications have been developed taking into account high-throughput computing platforms equipped with expensive multichannel audio interfaces, the IoT paradigm demands the use of more flexible and energy-efficient systems. Although there exist software-based platforms devoted to implementing general neural networks, they are not optimized for sound classification leading to the waste of energy and computational resources. Here, we have used FPGAs to develop an ad-hoc system where only the required hardware for our application is synthesized, obtaining faster and cheaper (in terms of energy) circuits. The results show that our developments accelerates by a factor of 35 with respect to a software-based implementation on a Raspberry Pi.
Comprehensive Analysis of Energy Efficiency and Performance of ARM and RISC-V SoCs
Authors: Suárez Daniel , Almeida Francisco , Blanco Vicente 
Published: October 2023

Abstract

Over the past few years, ARM has been the dominant player in embedded systems and System-on-Chips (SoCs). However, with the emergence of hardware platforms based on the RISC-V Instruction Set Architecture (ISA), it has become necessary to compare these two ISAs. In this study, our goal is to comprehensively evaluate the energy efficiency and performance of ARM and RISC-V ISAs across three different SoCs. We will conduct benchmark tests to measure power consumption and overall system performance. The results of our study are valuable to developers and researchers looking to select the best ISA for energy-efficient computing applications. Our findings indicate that while RISC-V hardware platforms exhibit lower average power consumption than their ARM counterparts, the performance-per-watt ratio may not necessarily favor RISC-V. Ultimately, our overarching objective is to thoroughly examine both ISAs and to pinpoint areas where each can be enhanced, ultimately contributing to greater energy efficiency. Furthermore, to ensure the practical applicability of our findings, we will use the Computational Fluid Dynamics (CFD) software OpenFOAM. This step serves to validate the relevance of our results in real-world scenarios. It allows us to fine-tune execution parameters based on the insights gained from our initial study. By doing so, we aim not only to provide meaningful conclusions, but also to investigate the transferability of our results to practical applications. Our analysis will also scrutinize the capabilities of these SoCs when handling nonsynthetic software workloads, thereby broadening the scope of our evaluation.
Palms predict the distributions of birds in southwestern Amazônia and are potential surrogates for land-use planning by local communities
Authors: Menger Juliana , Junior Sergio Santorelli , Emilio Thaise , Magnusson William E. , Anciães Marina 
Published: October 2023

Abstract
In the absence of high-quality biodiversity data, land-use planners and conservationists often rely on biodiversity surrogates. Many studies have proposed surrogates based on assumptions about the environmental niches of species. However, the use of such assumptions is not always useful because biological processes and ecological interactions can operate at different scales due to the non-uniform geographical distribution of environmental conditions. Furthermore, these assumptions may obscure important relationships between species and their environment. To elucidate this issue, we asked whether biotic interactions between two taxonomic groups are more important than other factors in reflecting the distribution of unsampled species. To do this, we compared the relationship between the distribution of bird species and the distribution of the five most-abundant palm species, environmental factors, and the ecoregions. Our results show that bird-assemblage composition was more strongly correlated with changes in palm-species abundance, and that palms could serve as a cost-effective and efficient biodiversity surrogate for birds. These palm species are abundant and can be easily identified and monitored by non-specialists, such as those in local communities.
Natural Plasmodium infection of Anopheles benarrochi B (Diptera: Culicidae) in native communities of the Province of Condorcanqui, Amazonas-Peru
Authors: Villegas-Pingo Marianella , Zumaeta Jhon , Rojas Luis M. , Gonzales Lizandro , Tapia-Limochi Rafael , Moreno Marta , González Christian R. , Chenet Stella M. 
Published: October 2023

Abstract

Background
Malaria is a severe health problem in the native communities of Condorcanqui in the Amazonas Department of Peru. Recently, the number of malaria cases has increased considerably following a Plasmodium falciparum outbreak in 2019. However, there is no information on the anopheline species acting as Plasmodium vectors in this area or its insecticide resistance status. This study aims to: i) to molecularly characterize the anopheline population from the district of Rio Santiago; ii) to determine their incrimination in malaria transmission; and iii) to evaluate mutations associated with resistance to pyrethroid insecticides and DDT in the mosquito population.
Methods
Mosquitoes were collected between March and September 2022, using Shannon traps, CDC light traps, and mouth aspirators. Only those morphologically identified as Anopheles sp. were subjected to molecular confirmation by PCR amplification and sequencing of the COX1 barcode region. Additionally, specimens that were molecularly confirmed as Anopheles were analyzed for the kdr region of the VGSC gene related to insecticide resistance. Likewise, the presence of human blood as a food source was detected using the β-globin marker, and the presence of P. falciparum and Plasmodium vivax was determined through a nested PCR.
Results
A total of 453 mosquitoes were captured, of which ninety-four were morphologically identified as female anophelines. Of the latter, sixty-six (~ 70%) specimens were molecularly confirmed as anophelines and were grouped into four species: An. benarrochi B, An. triannulatus, An. costai and An. nimbus. The sixty-six anophelines were analyzed for human β-globin and Plasmodium. It was found that twenty-three samples of An. benarrochi B (~ 35%) and one specimen of An. triannulatus were positive for human β-globin. Likewise, six (~ 9%) samples of An. benarrochi B were positive for Plasmodium parasites (four for P. falciparum and two for P. vivax). It is worth noting that four specimens tested positive for Plasmodium parasites and human blood simultaneously, making this a robust outcome to incriminate An. benarrochi B as the main malaria vector. No specimens presented mutations associated with insecticide resistance in the kdr region.
Conclusions
An. benarrochi B is the dominant anopheline species in this study and plays an important role in malaria transmission. Further studies are needed to understand its feeding behavior and activity during dry and rainy seasons to fully incriminate it with malaria transmission and implement targeted vector control programs.