Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of 3-D Interface in Synaptic Transistors With Attojoule Power by Electrospinning Aligned Nanofibers for Neuromorphic Computing

Neuromorphic devices, which are modeled after the human brain, have garnered increasing attention for their remarkable computing speed and high parallel computing capabilities. While electrolyte gate-controlled transistors have been previously reported to simulate synaptic function, their layered structure posed a significant challenge to the modulation of the channel layer. To address this limitation, this study proposes a novel electrolyte-gated electric double layer (EDL) synaptic transistor with 3-D interface contacts. This device utilizes aligned InMgO nanofibers as the channel layer, and doping lithium into the organic solid electrolyte to enhance the EDL effect. The aligned structure further optimizes synaptic properties. Notably, the device’s power consumption is remarkably low, at 101 aJ, due to the 3-D interface and double layer effect. Through successful simulation of several crucial synaptic behaviors, including signal filtering characteristics, Ebbinghaus forgetting curve, and its application to image memory, these findings provide significant insights into the future development of complex neuromorphic systems.
HISPOC: A High-Performance Irregular Activation Sparsity-Aware Point Cloud Network Accelerator

Voxel-based neural networks are promising algorithms to process 3D point cloud data. However, the voxel-based neural networks run inefficiently on GPUs for the unique calculation modes of 3D sparse convolution. In addition, the large irregular activation sparsity of 3D voxel-based neural networks can be utilized more to improve the performance of the hardware accelerator. This brief presents a high-performance 3D point cloud accelerator, namely HISPOC, which can effectively leverage irregular activation sparsity. Specifically, we propose a 3D bitmap-based search engine that significantly reduces the complexity of voxel searching. In addition, we propose a match-based input feature manager and a dichotomy-based output feature sparsity encoder to enhance computation efficiency and reduce RAM consumption based on the Zero-Value Compression algorithm. Finally, the average memory footprint of the feature is reduced to <inline-formula> <tex-math notation="LaTeX">$54.98\%$ </tex-math></inline-formula>. we implement the HISPOC on Xilinx Virtex VC707 board, achieving <inline-formula> <tex-math notation="LaTeX">$3.3-1272.1$ </tex-math></inline-formula> GOPS, and 11.8 FPS under 109.8 KB RAM consumption, which are <inline-formula> <tex-math notation="LaTeX">$3.34\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$1.39\times $ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$0.62\times $ </tex-math></inline-formula> compared with the state-of-the-art works.
A study on feature and mechanism of the tidal geoelectrical field

Based on the analysis of data from 100 geoelectrical field observatories in China continent, the tidal geoelectrical field can be divided into the TGF-A of approximate sine waves and the TGF-B of approximate trapezoidal waves.TGF-A was produced basically by large water area nearby, it is not only closely related to solid tide, but also closely related to the acreage and distance of the nearby water area, lithology structures and geotectonic movement, and so on. TGF-B is closely related to the S_q current produced by air tide, and also to the degree of saturation and permeability of the rock, and so on.The reason for TGF-A waveform distortion may be alteration of cranny water periodic transfusion in the rock due to stress change, and the abrupt change of TGF-B background value may be caused by ground fluid transfusion into rock area with increased cracks.These two mechanisms could be the theoretical foundation for application of tidal geoelectrical field data in short-term and impeding strong earthquake prediction.
Improving Middle-School Students' English Vocabulary Via Digital Storytelling

This study explores middle-school students' perceptions of using digital storytelling to enhance English vocabulary acquisition. A focus group methodology engaged 30 out of 136 female second-grade students, representing 22% of the community. Content analysis, following Merriam's (2015) steps, revealed two main categories: using digital stories for vocabulary acquisition and their effectiveness in improving language skills. Participants found digital storytelling enjoyable and memorable, with visual images aiding vocabulary retention and word comprehension. It also improved dictionary usage. The study concludes that digital storytelling enhances vocabulary, language proficiency, and grammatical understanding. Practical implications include integrating digital storytelling into English teaching for better vocabulary learning, providing clear context in stories, and including dictionary-related tasks for an engaging language learning experience. These insights contribute to the growing body of research supporting the value of digital storytelling in educational contexts. Based on the study, a key recommendation is to integrate digital storytelling into English language teaching with a focus on providing clear context within digital stories. This promises to enhance the language learning experience for middle school students seeking to improve their English vocabulary and language skills. Received: 09 August 2023 / Accepted: 22 September 2023 / Published: 5 November 2023
Economic Crisis Adaptation in Sri Lankan Construction Industry: Pathway to Prosperity

Abstract The construction industry is a critical sector in the nation’s economic growth, accounting for a sizable share of GDP growth. However, it is the most vulnerable industry to a financial depression, whether local or worldwide. The present economic crisis has had an impact on the Sri Lankan construction industry, with more than half a million employees lost their jobs in the previous year. Many major construction firms have either paused or abandoned their projects and shifted to overseas construction. Therefore, understanding the consequences of financial crises regarding construction initiatives in Sri Lanka, as well as anticipated post-crisis growth paths in this sector, necessitates a thorough examination. The goal of this study is to extensively examine the consequences of the 2022 economic crisis on Sri Lankan construction projects and investigate remedies that might start a post-crisis rebound. The study utilized a mixed-method approach, combining quantitative and qualitative research methods. Purposive sampling was used to choose construction industry participants from various backgrounds in order to get a varied range of perspectives. The findings of this study not only emphasize the negative consequences of the crisis but also reveal prospects for development within the industry. The article offers construction professionals and other industry stakeholders useful insights about the foreseeable future of the country’s construction sector. The research looks at prospective growth areas such as the development of infrastructure, sustainable construction strategies, and the usage of emerging technology. The findings of the research can help to ensure that the sector has a robust and productive future.
Multilayer Packaged Single- and Dual-Band Dual-Channel Bandpass Filters Based on Substrate Integrated Waveguide Cavities

This article presents a design method for multilayer packaged single- and dual-band dual-channel bandpass filters (DCBPFs) based on square substrate integrated waveguide (SIW) cavities. By exploiting one or multiple pairs of orthogonal degenerate modes in square SIW resonators, two single-band and one dual-band DCBPFs with high channel isolations are implemented. By arranging feeding ports and coupling apertures, a highly selective single-band DCBPF with multiple types of operating states is demonstrated. In order to construct a dual-band DCBPF design, balanced feeding ports are introduced to excite the operating modes and suppress unwanted spurious modes between the dual passbands, thus realizing a satisfactory dual-band frequency response. To validate the design method, two single-band and one dual-band prototypes are designed, fabricated, and measured. The results exhibit excellent filtering performance and high channel-to-channel isolations.
Growth and yield response of peanut to simulated drift of glufosinate at vegetative and reproductive growth stages

Abstract The increased incidence of glyphosate-resistant weeds has led to an exponential increase in the use of glufosinate on glufosinate-resistant corn, cotton, and soybean crops. Field experiments were conducted in 2021 and 2022 to evaluate peanut response to glufosinate at 25 and 60 d after planting, corresponding to vegetative (V3) and reproductive (R4) growth stages, at 1.2, 4.7, 18.9, 75.5, and 302 g ai ha-1 representing 1/514 to 1/2 of the labeled rate of 604 g ha-1. Peanut injury and canopy and yield reductions from glufosinate were <10% when applied at 1.2, 4.7, and 18.9 g ha-1. However, at 75.5 and 302 g ha-1 peanut injury ranged from 24% to 72% at the V3 exposure timing and 33% to 54% at the R4 exposure timing. Similarly, glufosinate applied at 75.5 and 302 g ha-1 reduced peanut canopy width by 10% to 23% at the V3 exposure timing and by 43% to 57% at the R4 exposure timing. Averaged across exposure timing, peanut yield was reduced by 15% and 61% when glufosinate was applied at 75.5 and 302 g ha-1, respectively. Averaged across rates, peanut yield reduction was 18% at the V3 exposure timing, with glufosinate at 298 g ha-1 required to cause an estimated 50% reduction in yield. Peanut yield was reduced by 20% when glufosinate was applied at the R3 peanut growth stage, whereas glufosinate applied at 243 g ha-1 caused an estimated 50% reduction in yield. There was no difference in normalized difference vegetative index (NDVI) values between untreated plants and peanut exposed to glufosinate at 1.2, 4.7, and 18.9 g ha-1. However, peanut exposed to glufosinate at 75.5 and 302 g ha-1 was distinguished from untreated plants with lower NDVI values. Based on the Pearson correlation coefficient, the best timing for assessing potential yield reduction based on injury was between 2 and 4 wk after treatment. Nomenclature: Glufosinate; peanut, Arachis hypogaea L.
Scaling point based aquifer data for developing regional groundwater models: application to the Gippsland groundwater system

ion Site (with Model Layer) 0 to 1 2 to 3 4 to 5 6 to 7 8 to 9 10 to 11 12 to 13 14 to 15 16 to 18 OB (1) Yall Aq (3) M1A Aq (5) M1B Aq (7) M2A Aq (9) M2B Aq (11) M2C Aq (13) T1 Aq (15) T2 Aq (17) Study Area Mining License Center of Pumping Figure 8.2-6 Location of Groundwater Abstraction Wells for Groundwater Model Input
One year variations in the near Earth solar wind ion density and bulk flow velocity

One year periodic variations in the near Earth solar wind ion density and bulk flow velocity are reported. The variations show an inverse relationship between the ion velocity and density. The peak strength of the observed density variation ranges from 50-100% over the background. These variations imply either large scale mass loading inside the Earth's orbit or intrinsic solar modulations. Analyses of both near Earth and Pioneer Venus Orbiter spacecraft data provide a comparison at two different heliocentric distances. Several explanations for these variations are discussed.
The Relationship Between Smartphone Overuse and Academic Achievement Among Undergraduate Nursing Students

Introduction Nowadays, college students highly depend on smartphones on a daily basis because it is found to be practical and useful to manage and organize most of their daily basic activities. However, this raises a concern about the negative influence of smartphone overuse on their academic achievement and well-being. Relatively, multiple studies have reported negative impacts associated with smartphone overuse on different aspects like sleep patterns, body energy, eating habits, and academic achievements. Objective This cross-sectional study examines the relationship between smartphone overuse and academic achievement among 133 undergraduate nursing students at King Saud bin Abdulaziz University for Health Science in the Kingdom of Saudi Arabia. Method Demographic data was collected and the Smartphone Addiction Scale-Short Version (SAS-SV) was used to collect other data. Results The statistics showed an overuse of smartphones among the students as half of them (50.4%) reported checking their smartphones 1-10 times per hour. Additionally, most of the participants reported that they use their smartphones regularly (97.7%) and 90.2% of them use monthly data plans. Furthermore, 75.9% of students reported using their phones during class, either for note-taking or searching. Conclusion The findings did not show a significant association between academic achievement and smartphone overuse because a high percentage of the participants reported using their phones mostly for educational purposes.
Temperature-time curves at the soil surface in maquis summer fires

Many summer fires in Valencia are enhanced by the abundance of maquis. Nevertheless, fire field studies on the soil temperature–time curves under summer conditions with controlled amount and structure of fuel are scarce. Experimental summer fires were conducted to analyse the influence of the fuel load and the fuel structure on the soil temperature-time profiles. The increase of fuel load from 2 to 4 kg m–2 increased the net radiant heat per unit area (5691 to 11263 kJ m–2), the total duration of heat (190 to 396 min) and the duration of temperatures greater than 100oC (19.8 to 35.9 min) whereas the peak temperature increased 100oC (from 416oC to 516oC). Variations of fuel height from 1.5 to 0.75 m and bulk density from 2 to 4 kg m–3 respectively, increased net radiant heat per unit area, Hp/a (6510 to 10 444 kJ m–2), ttotal (219 to 375 min), and t>100oC (9.7 to 36. 1 min) whereas Tmax increased 40oC (446 to 486oC). At plot scale, fire intensity and severity will increase with the fuel load. At plant scale, more degradation will occur in the soil patches with higher bulk density, mainly because an increased duration of high temperatures in soil. Fuel amount and structure are then key factors in maquis fires since they will determine the post-fire patchiness of soil conditions and plant recovery.
Financial Management Strategies and the Sustainability of Small-Scale Business in River State Public Universities, Nigeria

The study examined financial management strategies and the sustainability of small-scale business in River State public universities, Nigeria. The population of the study comprised sixty-five (65) small-scale business operators that registered with the university management in the study area. A 20-item questionnaire titled “Financial Management Strategies and the Sustainability of Small-Scale Businesses (FMSSSSB)” tool was utilized for data collection. Fifteen (15) small-business owners from the University of Calabar were used to test the internal consistency that produced an overall reliability coefficient of 0.79. The study issues were addressed employing the mean (X) and standard deviations (SD), bar graph, line graph and an independent t-test was employed to assess the null hypotheses at the 0.05 level of significance. Results show that records management techniques and inventory management control influence the Sustainability of Small-Scale Businesses in River State public universities. It was determined that records are crucial to the management of small businesses' sustainability and that they must be treated carefully throughout their creation, maintenance, and disposal. As records are the cornerstone and foundation upon which modern business exists, it was also advised, amid other things, that owners of small businesses try to get involved in the records management process. Received: 18 August 2023 / Accepted: 21 October 2023 / Published: 5 November 2023
Phase equilibria in NaAlSiO4–KAlSiO4–SiO2–H2O at 100 MPa pressure: equilibrium leucite composition and the enigma of primary analcime in blairmorites revisited

Abstract Experiments in the system NaAlSiO4(Ne)-KAlSiO4(Ks)-SiO2(Qz)-H2O at 100 MPa show that the maximum content of NaAlSi2O6 in leucite is ~4 wt. % and that analcime is close to the stoichiometric composition (NaAlSi2O6.H2O). Analcime forms metastably on quenching the higher-temperature experiments; it is secondary after leucite in experiments quenched from 780°C, while from 850°C it forms by alteration of leucite, and by devitrification of water-saturated glass. Both processes involve reaction with Na-rich aqueous fluids. Stable analcime forms at 500°C, well below the solidus, and cannot form as phenocrysts in shallow volcanic systems. New data for natural analcime macrocrysts in blairmorites are presented for the Crowsnest volcanics, Alberta, Canada. Other researchers have suggested that primary analcime occurs as yellow-brown, glassy, analcime phenocrysts. Our microprobe analyses show that such primary analcime is close to stoichiometric, with very low K2O (<0.1 wt.%), minor Fe2O3 (0.5-0.8 wt.%) and CaO (~0.5 wt.%). An extrapolation of published experimental data for Ne-Ks-Qz at >500 MPa PH₂O, where Anl + melt coexist, suggests that at >800 MPa two invariant points are present: (1) a reaction point involving Kf + Ab + Anl + melt + vapour; and (2) a eutectic with Kf + Anl + Ne + melt + vapour. We suggest that the nepheline-free equilibrium mineral assemblage for Crowsnest samples is controlled by reaction point (1). In contrast, blairmorites from Lupata Gorge, Mozambique, form at eutectic (2), consistent with the presence of nepheline phenocrysts. Our conclusions, based on high- vs. low-pressure experiments, confirm the suggestion made by other authors, that Crowsnest volcanic rocks must have been erupted explosively to preserve glassy analcime phenocrysts during very rapid, upward transport from deep in the crust (H2O pressures >>500 MPa). Only rare examples survived the deuteric and hydrothermal alteration that occurred during and after eruption.
Mechanical alloying of Mg-Zn-CaEr alloy

is possible to achieve finer microstructure in crystalline as well as nanocrystalline and amorphous alloys [12‒20]. Thanks to these qualities, it is possible to obtain specific materials, which would normally be very hard or practically impossible. That being said, magnesium alloys are one of the most important alloys nowadays. They are lighter while holding their strength. Moreover, they exhibit many beneficial properties such as good mechanical properties and corrosion resistance. The interest in magnesium can be found between many fields of science and industry, such as the automotive or aerospace businesses, and recently its alloys are being considered as potential material for medical application as well. Magnesium alloy based implants, for instance, could be potentially better than their titanium or stainless steel counterparts. Mechanical strength (comparable to that of bone tissue) apart, they offer really good corrosion resistance. As it is known, the human body is a very specific and very corrosive type of environment. Due to that fact, not many materials can be used as implants. Yet when coupled with the MA process, it is possible to prepare highly specialized alloys for any purpose. This is faster, cheaper, and more specialized as compared to more traditional methods [21, 22]. Moreover, magnesium is a very specific material that by itself is not so strong yet highly corrosive. However, when prepared as an alloy with adequate materials, it is possible to achieve the best possible characteristics. In this work, Zn and Ca additions are used to improve both mechanical strength and corrosion resistance [23‒28]. To further improve its properties, rare earth elements (REE) can be used [20]. They exhibit some toxicity but can be tolerated to a certain extent. However, they considerably improve the alloy mechanical properties and microstructure in certain cases [29, 30]. Many REEs
Ground‐Motion Models for Seismic‐Hazard Assessment in Western Iberia: Constraints from Instrumental Data and Intensity Observations

Abstract The lack of constraints regarding ground‐motion propagation characteristics in western Iberia remains one of the major hindrances to accurate seismic‐hazard and seismic‐risk assessment in the region. The fact that western Iberia is geographically located near the confluence of oceanic crust, active continental crust, and stable continental crust further complicates the selection of appropriate ground‐motion models. To address this question we compare, through visual inspection and residual analysis, the regional ground‐motion data for moderate magnitude earthquakes with a set of six ground‐motion prediction equations, some of which were developed for active tectonic regions and the others for stable continental regions. Although the available data pertain mostly to offshore moderate magnitude earthquakes ( M 4.8–6.0) at large distances (100–400 km), the few records from an onshore M 4.0 earthquake and from the 1969 M 7.8 earthquake display similar trends. The results show that the performance of the models is period‐dependent, with shorter spectral periods (0.01 s, 0.1 s, 0.2 s, and 0.5 s) being strongly underpredicted by models developed for shallow active tectonic regions. More interestingly, the performance of the models for stable continental regions seems to be magnitude‐dependent, with response spectra amplitudes for magnitudes of engineering interest being accurately estimated by the models. The inspection of the residual distributions of intensity observations leads to similar conclusions for the offshore data, while highlighting the extent of epistemic uncertainty in predicting the ground motions for moderate magnitude earthquakes at short to moderate distances.
L2 Norm-Based Control Regularization for Solving Optimal Control Problems

Solutions to practical optimal control problems (OCPs) may consist of control profiles that switch between control limits or assume values interior to their admissible set, either due to activation of inequality state path constraints or existence of singular control arcs. Abrupt switches in the control (i.e., bang-bang control) jeopardizes the numerical solution of OCPs unless care is taken to isolate precise time transition points where sharp switches occur (excluding the chattering phenomenon). We propose a novel control regularization method, called Bang-Bang Singular Regularization (BBSR), based on L2 norm-based regularization. We present an analysis on the L2 norm-based regularization at two levels: 1) its connection to trigonometric regularization and 2) its ability to approximate regular and singular control arcs. The utility of the method is demonstrated in solving three classes of trajectory optimization problems: 1) space minimum-fuel low-thrust trajectories with bang-bang thrust profiles, 2) the Goddard rocket problem with its known bang-singular-bang control structure, and 3) minimum-time spacecraft reorientation with both bang-bang and second-order singular arcs. The results demonstrate the utility of the BBSR method in approximating extremal control profiles that may consist of pure regular and/or mixed regular and singular control arcs.