Miracle-dz/UniFAR-FTUs huggingface dataset:
GBC: An Energy-Efficient LSTM Accelerator With Gating Units Level Balanced Compression Strategy

Recurrent Neural Networks (RNNs) have emerged as one of the most popular neural networks for processing time-series problems, widely used in machine translation, automatic speech recognition, and other natural language processing applications. However, conventional RNNs suffered from vanishing and exploding gradients, resulting in poor network performance in applications with long-term input information. As a variant of RNN, Long Short-Term Memory (LSTM) had been proposed to tackle this issue. Nevertheless, at the same time, LSTM introduces gating units and many additional parameters, which makes it challenging to be implemented directly on resource-limited platforms, such as Field Programmable Gate Arrays (FPGAs). This work first investigated the overall maximum achievable compression rates of different gating units and their correlations. Then, Gating Units Level Balanced Compression (GBC) strategy is proposed. After Top-<inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula> pruning, the proposed GBC strategy can attain a compression rate of <inline-formula> <tex-math notation="LaTeX">$36.6\times $ </tex-math></inline-formula> for LSTM. Further, the theoretical analysis indicates that for the existing gating units level LSTM compression variants, the GBC strategy still has further potential for compression. A complementary compression of the GBC strategy is performed on the existing coupled-gate LSTM to verify the analysis. Experimental results show that GBC achieves an additional <inline-formula> <tex-math notation="LaTeX">$32\times $ </tex-math></inline-formula> (overall <inline-formula> <tex-math notation="LaTeX">$42.7\times $ </tex-math></inline-formula>) compression rate with negligible accuracy loss. Finally, hardware experiments conducted on Xilinx ADM-PCIE-7V3 FPGAs also demonstrate that the accelerator designed in this paper achieves an improvement of 7.4%-191.5% in energy efficiency compared to the state-of-the-art designs.
Research on the Developing Approach of Digital Humanities in the Field of Library Science in China

Under the tide of digital humanities, the Library actively participates in the research and practice. It has made considerable achievements. Based on the research documents collected by the CNKI and WOS database, this research reviews digital humanities in the field of Library Science. This article attempts to analyze the hot spots and development trends in order to gain a deeper understanding of research results and forecast the future research direction. The basic issues of digital humanities, library resources construction, library services and scientific research support. According to the analysis and discussion of the research and practice, the key points can be concluded to three parts, they are collaborative communication during country and domain, create good digital humanities atmosphere, carry out the research in an innovative way. Keywords—library; digital humanities; developing approach;
Subsurface Water Property Structures Along 80°E Under the Positive Indian Ocean Dipole Mode in December 2019

High-accuracy ship-based observations were conducted at 80°E in the Indian Ocean. Salinity below the mixed layer in 2019 was observed to be lower than that in 1995. This decrease in salinity was mainly attributed to anomalous advection associated with one of the strongest positive Indian Ocean dipole (pIOD) events in 2019 through analysis of the gridded time series of the salinity distributions based on the Argo float array. Increases and decreases in nitrate and dissolved inorganic carbon (DIC) and dissolved oxygen (DO), respectively, were also detected on the isopycnal surfaces where decreases in salinity were observed, suggesting that the anomalous upwelling and westward advection associated with the pIOD in the eastern part of the equatorial region resulted in low-salinity, low-oxygen, and nutrient-rich waters in the central off-equatorial region of the Indian Ocean. However, downward isopycnal heaving, which was also associated with the pIOD, was too strong to have increased nitrate below the mixed layers, and thus might have suppressed biological activity. The heaving also affected the DIC and DO distributions, and the effect of interannual changes such as those associated with the Indian Ocean dipole is essential to estimating changes in anthropogenic carbon storage. This research represents a case study, based on only two occupations; therefore, an assessment utilizing more intensive observations and more realistic numerical simulations is necessary in the future.
Transcriptome sequencing reveals circRNA expression profile in Parkinson’s disease-like mice after aerobic exercise

Parkinson’s disease (PD) is a common complex neurodegenerative disease, and aerobic exercise (EX) has potential to improve motor dysfunction. This study aimed to explore whether EX acts on PD in mice mode. Mice were administered 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and subjected to a 4-week physical exercise regimen (EX-PD group) and underwent RNA-Seq. Here, MPTP caused PD, which was characterized by neuron shrinkage and behavioral deficits, whereas EX improved PD by rescuing neuronal survival and motor function in mice. Moreover, circRNA expression profiles identified a total of 142 differentially expressed circRNAs (DEcircRNAs) between PD and EX-PD group. These DEcircRNAs were mainly involved in PD, dopaminergic synapses, and calcium signaling pathways. The expression of circZfp827 and circTshz2 were significantly elevated in PD group while reduced owing to EX intervention. In contrast, EX intervention significantly restored decline in circHivep2 expression due to PD. The circRNA-miRNA-mRNA network suggested that circZfp827, circHivep2, and circTshz2 were involved in ceRNA mechanism of EX to improve PD, and their target genes were significantly decreased after interference. The directly binding regulation relationship of circTshz2-mmu-miR-326-3p-Th was verified by double luciferase reporter assay. Our research revealed that EX improved motor behavioral deficits and pathological features of PD mice, and circRNA-based signatures are potential candidates for further assessment as PD biomarkers for improvement by EX.
Chemical Composition and Anti-Urolithiatic Activity of Extracts from Argania spinosa (L.) Skeels Press-Cake and Acacia senegal (L.) Willd

Ethnobotanical studies have reported the traditional medicinal uses of Acacia senegal (L.) Willd. and Argania spinosa (L.) Skeels against kidney stone formation and other chronic kidney diseases. The present work is undertaken to study the litholytic activity and the inhibiting activity of calcium oxalate crystallization by bioactive compounds identified in Argania spinosa (L.) Skeels press-cake (residue of Argan oil) and in Acacia senegal (L.) Willd. The litholytic activity was studied in vitro on cystine and uric acid stones using a porous bag and an Erlenmeyer glass. The study of the inhibiting activity of calcium oxalate crystallization, was based on temporal measurements of the optical density, registered at a 620 nm wavelength for 30 min using an ultraviolet–visible spectrophotometer. The silylation method was performed to identify phytochemicals, followed by gas chromatography coupled with mass spectrophotometry (GC/MS) analysis. The results show significant litholytic activity of Argania Spinosa press-cake hydro-ethanolic extract on uric acid and cystine stones, respectively, with dissolution rates (DR) of 86.38% and 60.42% versus 3.23% and 9.48% for the hydro-ethanolic extract of Acacia senegal exudate. Furthermore, the percentages of nucleation inhibition are 83.78% and 43.77% (p ˂ 0.05) for Argania spinosa and Acacia senegal, respectively. The results point to the detection of 17 phytochemicals in Argania spinosa press-cake extract, the majority of which are phenolic acids and have potent anti-urolithiatic action.
Influence of the wind turbine blade model on echo's Doppler characteristics

: Wind turbines have serious electromagnetic interference to nearby radar stations. Accurately obtaining the Doppler characteristics of wind turbine's radar echo is the key technology and precondition to solve this problem. Based on the point scattering model of the wind turbines, the expression of the echo of the wind turbine blade scattering point model which is located at any point in the space is given, and the Doppler characteristic of the wind turbine blade echo is analysed by combining the existing integral model, which proves that the existing integral model is a special case of the scattering point model. Based on the radar resolution and Rayleigh resolution criteria, the scattering point spacing of the wind turbine blade is given. The simulation model is established according to the actual size of the wind turbines. After the analysis and comparison of the scattering point model and the integral wind turbine blade model, the simulation results of the wind turbine radar Doppler results are consistent with the theoretical analysis, which is of great significance to obtain the Doppler characteristics of the wind turbine blades.
Thinking of Me or Thinking of You? Behavioral Correlates of Self vs. Other Centered Worry and Reappraisal in Late-Life

Psychotherapeutic approaches in late-life anxiety have limited effect on reducing worry severity. The self-referential processing of worry contents (self- vs. other-focused worry) and reappraisal styles (internal vs. external locus of control) are important elements in psychotherapy, but little is known about these processes in late-life. We aimed to characterize severe worry from a self-referential processing perspective. We recruited 104 older adults with various levels of worry and used a personalized task to induce and reappraise worry. We analyzed the association between (1) worry severity/frequency for worry content (self- or other-focused) and (2) for reappraisal style (internal vs. external locus of control) with clinical inventories measuring anxiety, worry, depression, rumination, neuroticism, emotion regulation strategies, perceived stress, and physical illness burden. Higher self-worry severity was associated with higher scores of clinical inventories of worry, depression, perceived stress, and neuroticism, whereas other-worry severity did not show any association. Greater self-worry frequency was associated with higher medical burden. External locus of control in reappraisal statements was associated with lower worry severity in men. Overall, more severe and frequent self-focused worry was associated with a greater psychological and physiological burden. These results are useful in tailoring psychotherapy for older adults with severe worry.
Study on Factors Influencing Perceived Advertising Values among Customers of Automotive Companies in the Kathmandu Valley

Background: This study examines the perceived advertising value of customers associated with social media advertisements disseminated by automotive companies in Kathmandu valley. In the context of the Nepalese automobile market, automotive companies engage and interact with their existing and potential customers on different social media platforms. However, there is a marketing research gap in understanding the advertising value customers associate withsocial media advertisements. Objective: This research paper aims to examine factors that influence perceived advertising value for both existing and potential customers of automotive companies associated with andexpect from social media advertisements disseminated by automotive companies. Methods: The final sample of this study consists of 120 customers existing and potential (N=120) automotive companies forboth new and reconditioned vehicles in Kathmandu Valley. Besides, in this study, cross-sectional quantitative research design and descriptive and inferential statistics have been used to report data analysis and findings. Results: The findings of this study indicate that information, credibility, and entertainment, have a significant influence on advertising value customers associate with and expect in social media advertisements of automotive companies in Kathmandu valley Implication: The study concludes that enhancement in information, credibility, and entertainment also enhances the perceived advertising value of automobile customers. Therefore, as marketing research, this study recommends automobile dealer agencies in Kathmandu valley integrate entertainment, credibility, and information elements when developing content for their social media advertisements.To fulfill customer expectations, social media advertising needs to include content that is rich in information, appears, and comes across as credible to customers with entertaining elements that positively engagethe audience.
A novel adaptive sliding mode control approach for electric vehicle direct yaw-moment control

Direct yaw-moment control systems have been proven effective in enhancing vehicle stability and handling. The existing direct yaw-moment control designs commonly involve computation of tire side-slip angles, which is susceptible to measurement and estimation errors. The fixed control gain of the conventional sliding mode direct yaw-moment control design cannot adapt to variations and uncertainties in vehicle parameters. As a result, its robustness against parametric variations and uncertainties is limited. To improve the control performance, a novel adaptive sliding mode direct yaw-moment control approach is proposed in this article for electric vehicles with independent motors. The proposed method utilizes a varying control gain to adapt to the variations of front and rear tire side-slip angles. Comparative simulation results show that the proposed scheme outperforms the conventional method with inaccurate tire side-slip angle feedback. With the proposed direct yaw-moment control system on-board, the adverse effects of inaccuracies on tire side-slip angles are suppressed and the vehicle’s robustness against parametric variations and uncertainties is enhanced.
Photosynthetically active radiation intensity used as an extended photoperiod to increase quality in basil seedlings

The use of a protected environment for vegetable seedling production has become one of the best alternatives to minimize the adverse micrometeorological effects of the external environment and guarantee quality and production throughout the year. Inside the protected environment, it is essential to study the physiological responses of plants to the wavelength, periodicity, intensity, and direction of light in the photosynthetic process. Thus, the aim of this study was to investigate the effect of different intensities of photosynthetically active radiation (PAR) used as an extended photoperiod in a greenhouse on the production of basil seedlings. A completely randomized design, in a 2 × 4 factorial scheme, with four replications of 20 seedlings per plot was used. Two basil varieties, sweet basil (green color) and purple basil (purple color), were evaluated under three intensities of supplementary PAR, which were 375, 411, and 438 µmol m-2 s-1, and control, in the absence of supplementary PAR. The seedling height, stem diameter, shoot dry matter, root dry matter, total dry matter, leaf area, ratio between plant height and stem diameter, ratio between plant height and shoot dry matter, ratio between shoot dry matter and root dry matter, and Dickson quality index were evaluated. Results show that higher intensities of PAR used as an extended photoperiod favor the quality of basil seedlings produced in a protected environment.
The Role of Collaborative Resource Sharing in Supply Chain Recovery During Disruptions: A Systematic Literature Review

The COVID-19 crisis has attracted attention worldwide to supply chain disruptions and resilience. Several supply chain risk management approaches have been revisited or reapplied in the literature; however, collaborative resource sharing is less researched. This study aimed to investigate the current academic state of the art and advances in using collaborative resource sharing as a reactive method to facilitate supply chain recovery in the presence of disruptive events. More specifically we considered the role of different collaborative resource-sharing strategies that organizations can adopt to support supply chain functionalities during times of disruption. We conducted a systematic literature review (SLR) to analyze academic articles that were published online from 2000 to 2022. In order to analyze the literature, we adopted a combination of text-mining, automatic and manual categorization of selected articles, and exploratory analyses such as cluster analysis and relational indicators. We also consider the machine learning classification algorithm i.e. agglomerative hierarchical clustering for the categorization of clusters. The findings show that, for disruptive risks, collaborative sharing of labour and material resources is effective for the recovery of supply chains. More so, labour resources tend to contribute more to the recovery of supply chains through the physical and mental recreation of recovery activities and experiences. Whilst information resources and a mix of information and material resources are highly important in reducing the impact of COVID-19 disruptive supply chain risk. In conclusion, collaborating on the three resources, namely labour, material, and information resources can be an effective post-disruption recovery strategy for supply chains.
Simvastatin suppresses cerebral aneurysm in rats through suppression of release of pro-inflammatory cytokines

Purpose: To investigate the protective effect of simvastatin (SA) against onset of cerebral aneurysmmediated inflammatory cytokine release and subsequent inflammation and degradation of the extracellular matrix of smooth muscle cells.Methods: Cerebral aneurysm was induced in male Wistar rats using elastase injection, and aneurysm growth was monitored for one month following SA treatment. Inhibition of aneurysm growth was determined along with the expression levels of chemokines and pro-inflammatory cytokines, including TNF-α, IL-8, IL-1β, IL-17, IL-6, macrophage chemoattractant protein-1 (MCP-1), and matrix metalloproteinases 2 and 9, using enzyme-linked immunosorbent assay (ELISA) and reverse transcription polymerase chain reaction (RT-PCR). Results: Aneurysm size decreased in rats treated with SA, relative to values obtained for control rats (p < 0.05). The corresponding expressions of inflammatory cytokines and chemokines were also reduced following pre-treatment with SA (p < 0.05). The results indicate a reduction in the aneurysm area in rats pre-treated with SA, when compared to the untreated animals (p < 0.05). Conclusion: SA treatment inhibits the progression of cerebral aneurysms via its protective effect against inflammation, indicating its potential for use in the prevention and treatment of cerebralaneurysms.
Agent-based modelling for tourism research

ABSTRACT Managing tourism destinations has become increasingly challenging due to the tourism ecosystem’s complex nature. Tourism destinations can be seen as complex systems consisting of interactive agents such as tourists, tourism attractions, service providers, destination marketing organizations (DMOs), and the local communities. These agents have various types of interactions with each other in real-time. This paper introduces how the Agent-Based Modelling (ABM) approach can be used in tourism research. ABM is a computational modelling approach that examines the tourism system’s dynamic behaviour based on the agents’ interactions and simulates how the microscopic interactions lead to macroscopic phenomena. ABM can be leveraged with existing behavioural theories and various types of data to address complex topics such as sustainability and social equity. This study reviewed existing literature that adopts ABM throughout tourism planning, development, and management stages. We identified seven themes where ABM would be appropriate for studying tourism: sustainable tourism, tourist decision-making behaviour, tourist flow management, crisis management, cultural tourism management, natural tourism management, and transportation management. We further propose an agent-based modelling framework with key agents and attributes to guide the modelling process for tourism researchers and practitioners.
Improved Reinforcement Learning Using Stability Augmentation With Application to Quadrotor Attitude Control

Reinforcement learning (RL) has been successfully applied to motion control, without requiring accurate models and selection of control parameters. In this paper, we propose a novel RL algorithm based on proximal policy optimization algorithm with dimension-wise clipping (PPO-DWC) for attitude control of quadrotor. Firstly, dimension-wise clipping technique is introduced to solve the zero-gradient problem of the PPO algorithm, which can quickly converge while maintaining good sampling efficiency, thus improving the control performance. Moreover, following the idea of stability augmentation system (SAS), a feedback controller is designed and integrated into the environment before training the PPO controller to avoid ineffective exploration and improve the system’s convergence. The eventual controller consists of two parts: the first is the result of the actor neural network in the PPO algorithm, and the second is the output of the stability augmentation feedback controller. Both of them directly use an end-to-end style of control commands to map the system state. This control architecture is applied in the attitude control of the quadrotor. The simulation results show that the quadrotor can quickly and accurately track the command and has a small steady-state error after the training by the improved PPO algorithm. Meanwhile, compared with the traditional PID controller and basic PPO algorithm, the proposed PPO-DWC algorithm with stability augmentation framework has better performance in tracking accuracy and robustness.
A conceptual framework of the relationship between total quality management, corporate social responsibility, innovation capability, and financial performance

Total quality management, corporate social responsibility, and innovation are considered as strategic orientations allowing the achievement of a sustainable competitive advantage. However, there is a gap in the literature regarding the study of the links between these three concepts in a single analysis, the majority of researchers do not gather the study of these three concepts at once, as they do not as well link them to the financial performance. The main purpose of this conceptual paper is to examine the relationship between quality, innovation, corporate social responsibility and financial performance. We are aiming to build a conceptual framework with a particular emphasis on the role that may be played by TQM practices in the development of the bidirectional link between corporate social responsibility-innovation capability, and its impact on the improvement of the firm's financial performance.