Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitivity Analysis Based NVH Optimization in Permanent Magnet Synchronous Machines Using Lumped Unit Force Response

Acoustic noise and vibration sources in electric machines are mainly of electromagnetic and structural origin. A lumped structural unit response-based sensitivity analysis procedure is proposed in this article, which isolates electromagnetic and structural impacts brought by variation of different design parameters in a fractional slot concentrated winding, surface mounted permanent magnet synchronous machine (SPMSM). The impact of ten design parameters on average torque, torque ripple, synchronous inductance, dominant spatial-temporal order airgap force, cogging torque, friction torque, dominant mode frequency and structural unit response is studied in detail for a 12 slot/10 pole (12s10p) SPMSM. Analysis reveals that on a 12s10p SPMSM, slot opening has a very high impact on dominant airgap force component. A multilevel nonlinear regression model-based fast optimization strategy is introduced considering electromagnetic and structural design objectives and constraints following the sensitivity analysis. The optimized design is prototyped to validate the proposed design approach. Impact hammer-based modal analysis, no load, load and run-up tests are performed on the prototype for experimental validation. Ranging from structural tests to electromagnetic tests, the experimental results closely follow and validate the simulation-based predictions.
Robot Swarms Decide under Perception Errors in Best-of-N Problems

Robot swarms have been used extensively to examine best-of-N decisions; however, most studies presume that robots can reliably estimate the quality values of the various options. In an attempt to bridge the gap to reality, in this study, we assume robots with low-quality sensors take inaccurate measurements in both directions of overestimating and underestimating the quality of available options. We propose the use of three algorithms for allowing robots to identify themselves individually based on both their own measurements and the measurements of their dynamic neighborhood. Within the decision-making process, we then weigh the opinions of robots who define themselves as inaccurately lower than others. Our research compares the classification accuracy of the three algorithms and looks into the swarm’s decision accuracy when the best algorithm for classification is used.
Fault Diagnosis Based on Self-Tuning Support Vector Machine in Sample Unbalance Condition

The unbalance of sample quantities between faulty samples and normal samples leads to a deviation of classifying hyperplane while using support vector machine(SVM),hence decreases the accuracy of SVM-based fault diagnosis.A new self-tuning support vector machine(St-SVM),which could automatically adjust the penalty factors for risk function,is proposed for this issue.This method selects informative samples by booststrapping approach,amplifies their risk penalty factors and decreases the deviation of classification hyperplane brought by sample unbalance,and hence improves the accuracy of fault diagnosis.The St-SVM has been applied to the diagnosis of transformer faults.During the experiment,the positive and negative samples yield equal loss risks,and the diagnostic performance with unbalanced samples is significantly improved.It demonstrates the effectiveness of the proposed approach.
Contraction and intracellular free Ca 2+ concentrations in ventricular myocytes from rats receiving sucrose-enriched diets

Contraction and intracellular free Ca 2+ concentrations [Ca 2+ ]i in ventricular myocytes from rats receiving sucrose-enriched diets (SED’s) were investigated. Groups of Wistar rats received normal rat chow together with either normal drinking water or water containing 500 mM sucrose ad libitum . Experiments were performed 12-14 weeks later. Rats receiving SED’s responded differently to a standard glucose tolerance test. Fasting blood glucose levels in SED and control rats were 59.4±1.3 and 58.8±1.4 mg/dl, respectively. At 30 min after intraperitoneal administration of glucose (2g/kg body weight) concentrations of blood glucose were significantly (P 0.05) different when compared to initial fasting blood glucose values. Blood plasma insulin concentrations in SED and control rats were 3.01±0.55 (5) and 0.29±0.05 (5) ng/ml, respectively. Amplitude and time to peak (TPK) of ventricular myocyte shortening and Ca 2+ transient were not altered by SED. Time to half (THALF) relaxation of shortening was significantly prolonged in myocytes from SED (60.6±2.1 ms) compared to control (48.7±2.9 ms) rats. The TPK and THALF relaxation of the Ca 2+ transient were not altered by SED. However, the amplitude of Ca 2+ transient was significantly increased in myocytes from SED (0.36±0.02 RU) compared to control (0.31±0.02 RU) rats. Altered myofilament sensitivity to Ca 2+ may underlie the contractile defects seen in ventricular myocytes from rats fed diets that are supplemented with drinking water containing 500 mM sucrose for 12-14 weeks.
Application of parsley leaf powder as functional ingredient in fortified wheat pasta: nutraceutical, physical and organoleptic characteristics

Laboratoire de Génie Agro-Alimentaire, Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires, Université Frères Mentouri Constantine 1, INATAA 7 km, Constantine, Algeria Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires, Université Frères Mentouri Constantine 1, INATAA 7 km, Constantine, Algeria Department of Biochemistry and Food Chemistry, University of Life Sciences in Lublin, Skromna 8, 20-704 Lublin, Poland Department of Thermal Technology and Food Process Engineering, University of Life Sciences in Lublin, Głęboka 31, 20-612 Lublin, Poland
Iron–Gold Nanoflowers: A Promising Tool for Multimodal Imaging and Hyperthermia Therapy

The development of nanoplatforms prepared to perform both multimodal imaging and combined therapies in a single entity is a fast-growing field. These systems are able to improve diagnostic accuracy and therapy success. Multicomponent Nanoparticles (MCNPs), composed of iron oxide and gold, offer new opportunities for Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) diagnosis, as well as combined therapies based on Magnetic Hyperthermia (MH) and Photothermal Therapy (PT). In this work, we describe a new seed-assisted method for the synthesis of Au@Fe Nanoparticles (NPs) with a flower-like structure. For biomedical purposes, Au@Fe NPs were functionalized with a PEGylated ligand, leading to high colloidal stability. Moreover, the as-obtained Au@Fe-PEG NPs exhibited excellent features as both MRI and CT Contrast Agents (CAs), with high r2 relaxivity (60.5 mM−1⋅s−1) and X-ray attenuation properties (8.8 HU mM−1⋅HU). In addition, these nanoflowers presented considerable energy-to-heat conversion under both Alternating Magnetic Fields (AMFs) (∆T ≈ 2.5 °C) and Near-Infrared (NIR) light (∆T ≈ 17 °C). Finally, Au@Fe-PEG NPs exhibited very low cytotoxicity, confirming their potential for theranostics applications.
Marker‐free vision‐based method for vibration measurements of RC structure under seismic vibration

The seismic vibration measurement of reinforced concrete (RC) structures is an important aspect of post‐disaster reconstruction. Unfortunately, the existing method of installing sensors on walls and columns is prohibitively expensive, and the measurement signals are prone to loss during seismic vibration. In this paper, a marker‐free measurement method based on the Lucas‐Kanade (L‐K) optical flow algorithm for vibration measurements of RC structures under seismic vibration has been developed. In addition, to improve the accuracy of L‐K optical flow in dealing with the RC structure under seismic vibration, a new approach for selecting the feature point that is used to solve the restrictions of manual marking, as well as an adaptive matched window strategy that uses different sizes of matched window along the motion to replace the fixed matched window in the original L‐K algorithm, are proposed. The precision of the proposed method is first validated by comparing it to the original L‐K optical flow algorithm. Then, compare its precision and efficiency to the existing vision‐based methods, including feature matching (FM) and digital image correlation (DIC). Finally, the behaviors of RC structures during seismic vibration, such as inter‐story drift, frequency, and strain, are investigated. The results show that, when compared to the original L‐K optical flow algorithm and other vision‐based methods, the proposed method can accurately and efficiently measure motion without spraying speckle or high contrast markers on the structure's surface, and it enables the rapid diagnosis of structures affected by earthquakes.
Pelatihan Pembuatan Jamu Mix dan Jahe Wangi Pada Kelompok Ibu Rumah Tangga Di Desa Badal Pandean

The housewife group in Pandal Badal Village, Kediri Regency has used the house yard as a place to plant TOGA. On the other hand, the planted TOGA has not been used as an economic product, so training in the use of TOGA as an economical product is needed, such as herbal mix and fragrant ginger. The methods used in this activity included counseling and training on how to make mixed herbs and fragrant ginger as well as marketing assistance for mixed herbal and fragrant ginger products. The results obtained after this activity include 100% of the group of housewives in Badal Pandean Village who know how to make mixed herbs and fragrant ginger and can make good mix and fragrant herbal products and marketable. Besides that, the group of housewives in the Badal Pandean Village has managed to sell mixed herbal and fragrant ginger products in the Bazar event organized by Badal Pandean Village, Kediri Regency.
Design and Application of Fuzzy Neural Network Controller in DMF Recovery System

Taking automation renovation of DMF recovery system as the background,and aimed at the matters which bothering the temperature control of rectification column,a cascade control strategy which employing the fuzzy neural network controller to control the temperature was presented. Simulating in Matlab / Simulink shows that this strategy outperforms the PID control in control effect and satisfying actual production.
DNN Migration in IoTs: Emerging Technologies, Current Challenges, and Open Research Directions

With the rapid development of the Internet of Things (IoT) and communication technology, deep neural network (DNN) applications, such as medical imaging, speech transcription, handwritten text recognition, have been widely used in IoT devices. However, due to resource constraints on these devices, e.g., limited memory capacity, weak computing capacity, and low battery capacity, IoT devices cannot support complicated DNN operation effectively and, thus, fail to fulfill the requirements of Quality of Service of mobile users. One promising approach is to migrate the DNN model to a remote cloud server to reduce the computing burden on IoT devices. Unfortunately, it still suffers from high delay and low bandwidth when communicating with cloud servers. Although the transmission delay of the edge server is low, its computing capacity lacks scalability and elasticity.To make matters worse, in the real world, the wireless connection between IoT devices and the cloud is intermittent, which can cause offloading failures during large-scale DNN data transmission. In this article, we describe a DNN model migration framework to overcome the abovementioned challenges, which consists of three parts: DNN model preprocessing, partition-offloading plan, and partition-uploading plan. Accordingly, we introduce the operation of the DNN migration and the available methods for each part. In addition, we improve the DNN partition-uploading plan in a multiuser edge-cloud collaborative computing environment. Finally, we highlight the important challenges of achieving more efficient DNN migration and point out the unresolved issues of DNN migration, which may shed light on future research directions.
Seed germination characteristics of an endangered evergreen broadleaf tree, Rhododendron uwaense

ABSTRACT The importance of plantation forests in the conservation of endangered species has increased over time. Rhododendron uwaense is a small, endangered, evergreen broadleaf tree first described in 1984. This species only occurs in plantations and secondary forests on a small watershed in Shikoku, western Japan. Between the first observation of the species and 2017 no forest management practices had been conducted within the species’ range; however, the landowner began thinning operations in 2017. If this species has light requirements for germination as like some Rhododendron species, forest management practices that improve light availability may facilitate the establishment of the species. To reveal the germination characteristics and the appropriate storage conditions and length for R. uwaense seeds, we assessed differences in the germination of seeds stored under different conditions (indoor, outdoor, moist chilled and dry chilled) and for varying durations (45, 90, 136, 180, 225 days) by the gradually increasing and decreasing temperature method. Germination was higher in the increasing temperature regime. This trend is common among plant species with physiological dormancy that is broken by chilling, allowing seeds to germinate in the spring. Seeds that were collected during the dispersal period germinated immediately after collection, but germination required the presence of light. Seeds stored indoors for more than 180 days failed to germinate. Seeds stored dry chilled for 225 days still maintained a germination rate of more than 60%. Improvement of forest floor light conditions and seed storage under dry chilled conditions are recommended for seed germination and propagation.
Self-Propelled Gun Fault Diagnosis Expert System Based on Case Reasoning

To diagnose and remove faults of self-propelled gun rapidly and effectively is an important work in current armament maintenance and support.Fault resource exposure and fault location for such complicated equipment have large limitations by only use of traditional methods.Introducing fault diagnosis expert system into fault diagnosis of self-propelled gun can provide new method for fault diagnosis. The system consists of diagnosis information acquiring module,case package management system, diagnosis reasoning system,study module,man-machine interface and diagnosis report module etc. Fault diagnosis expert system based on CRB technology can improve maintenance efficiency and accuracy of fault diagnosis of self-propelled gun.
Anticancer and Apoptotic Potentials of Gliricidia sepium Leaf Extract on Breast HCC1395, Prostate DU145 and Colorectal CT26 Cell Lines

Background: Plants have become a household name in the quest for effective and safe cancer chemotherapy in the Pharmaceutical industry. We studied the Brine shrimps lethality, antiproliferative and apoptotic potentials of Gliricidia sepium leaf extract against some selected cancer cell lines. Methodology: Plant leaves extraction was done with 70% ethanol and petroleum ether. Twenty four hours old shrimp’s larvae exposure to different concentrations (1 mg/ mL, 100 µg/ mL, 10 µg/ mL and 1 µg/ mL) of the extracts were used to evaluate the cytotoxicity in Brine shrimps lethality assay (BSLA). Three cancer cell lines: Breast (HCC1395); Prostate (DU145); Colorectal (CT26) and one normal cell line (Vero E6) were used for the in-vitro cytotoxicity testing using MTT assay. IC50, CC50 and Selectivity Index (SI) were determined respectively, using standard methods. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was carried out on HCC1395 and DU145 cell lines. Primers for the genes p53 and BAX were generated and amplified for apoptotic evaluation. The fold change relative to GADPH, the house­keeping gene, was calculated using double delta Ct analysis [2ˉΔΔCT]. Results: The results of BSLA showed that both extracts of G. sepium are strongly toxic (LC50 < 100 µg/ml). However, petroleum ether extract (PGS) exhibited the highest toxicity to the shrimps, with LC50 of 11.95 µg/ml. This is about 8 times more cytotoxic than cyclophosphamide (LC50 of 98.76 µg/ml). On cancer cells, PGS exhibited varying antiproliferative activities; it was high on prostate (IC50 = 12.76 µg/ml), antiproliferative (IC50 = 23.55 µg/ml) and moderately antiproliferative (IC50 = 77.58 µg/ml) on breast and colorectal cancer respectively. PGS CC50 value was greater than 100 µg/ml. Ethanol extract (EGS) showed very high toxicity to all the tested cancer cells (IC50 <20µg/ml) with low cytotoxicity (CC50 = 41.81 µg/ml) to the normal cells. It exhibited a significant difference and high selectivity index across all the cell lines used in this study. EGS also upregulated both p53 and BAX biomarkers in the qRT-PCR apoptotic study. Conclusion: The leaf extracts of G. sepium is a potential anticancer agent. The 70% ethanol extract selectively induced antiproliferative activities on cancer cells and upregulated apoptotic genes. The Petroleum ether extract also showed very low cytotoxicity to the normal cells. The plant should be considered a novel candidate for further studies.
A Comprehensive Analysis of Reward Function for Adaptive Traffic Signal Control

Adaptive traffic control systems (ATCS) can play an important role to reduce traffic congestion in urban areas. The main challenge for ATSC is to determine the proper signal timing. Recently, Deep Reinforcement learning (DRL) is used to determine proper signal timing. However, the success of the DRL algorithm depends on the appropriate reward function design. There exist various reward functions for ATSC in the existing research. In this research, a comprehensive analysis of the widely used reward function is presented. The pros and cons of various reward algorithms are discussed and experimental analysis shows that multi-objective reward function enhances the performance of ATSC.
TM polarization preferentially implemented in the next generation of high-intensity laser systems based on multilayer dielectric gratings

The laser-induced damage (LID) response of multilayer dielectric gratings (MDGs) to transverse magnetic (TM) and transverse electric polarization was investigated based on polarized-independent MDGs. It was found that TM-polarized MDGs have the superiority of a high LID threshold, low sensitivity to laser excitation strength, low response to damaged structure, and reduced LID growth speed and dynamics. These results provide a strong motive to preferentially develop and mount TM-polarized MDGs in the next generation of high-intensity picosecond-petawatt laser systems.
On-Demand Wettability via Combining fs Laser Surface Structuring and Thermal Post-Treatment

Laser surface texturing (LST) is one of the surface modification methods that increase or provide new abilities for the material surface. Textured surfaces could be applied in different industrial areas to reduce wear and friction, promote anti-fouling, improve osseointegration, and other similar uses. However, LST is still in development and for reaching industrial level further optimization is required. In this paper, different metal alloy surfaces were fabricated with several patterns using the same laser parameters on each material and the results were compared. This could lead to possible optimization on the industrial level. Furthermore, research on the wettability properties of material and texture patterns depending on heat treatment in different temperatures was performed, showing complete control for wettability (from hydrophilic to hydrophobic).
Study on the early-warning threshold of structural instability unexpected accidents of reservoir dam

The early-warning of unexpected accidents offers an effective technical support for emergency management of dam safety,which can reduce losses significantly. In this paper,the definition and classification of unexpected accidents of reservoir dam were studied. The characteristics of structural instability of dam were discussed. With aging component of safety monitoring model as warning signs,the paroxysmal models of aging component were established based on catastrophe theory. The calculation method of the early-warning threshold of structural instability unexpected accidents of reservoir dam was put forward by combination with genetic optimization algorithm. The project case shows that the method is feasible.
Diversity of Homestead Plants in Sreemangal Upazilla, Bangladesh

The research was carried out in the Kalighat union of Sreemangal Upazilla, Moulvibazar district, Bangladesh with the objective of discovering the diversity of homestead plants. Five villages were selected randomly from the Kalighat union named Kalighat tea garden, Baraura Tea Garden, 8 No. Line, 8 No Kalighat and 9 No. Basti. To determine the plant diversity, 105 households were surveyed. In comparison to the other villages, the 8 No. Line had more plant diversity, in this study. In the study region, 73 valuable plant species were identified, including fruits, woods, fuel wood, aesthetics, and medicinal. The highest Shannon Wiener Index value was found as 2.95 in 8 No. Line and the lowest Shannon Wiener Index value was 2.21 in Kalighat Tea Garden. On the other hand, Baraura Tea Garden had the highest Index of Dominance (0.47), while 8 No. Kalighat and 8 No. Line had the lowest Index of Dominance (0.09). The Evenness Index was found in the plot of Kalighat tea garden (0.76), Baraura tea garden (0.7) and 8 No. Line (0.77) were more evenly distributed except 8 No. Kalighat (0.84) and 9 No. Basti (0.64) indicated irregular even distribution. Plant species diversity among different villages of Sreemangal Upazilla was found statistically significant (p-value =0.0001173<0.05). The most important value index and top-ranked planted species were Bamboo (Bambusa sp.) (42.20) followed by Mango (Mangifera indica) (37.79), Kathal (Artocarpus heterophyllus) (15.19) and Supari (Areca catechu) (35.88) respectively. Agro-crop diversity was also found to be predominant in different unions of Sreemangal Upazilla. A total of 24 agro-crop species were found in the study area. Rice crop was found the most important crop in the study area. Rice production in each family is 1200 kilograms per year, whereas consumption is 500.5 kilograms per year. Farmers can be authorized more specific species for more production and sustainable homestead forest management in the study area based on findings from the analysis of soil conditions and properties. The present study revealed that homestead plant diversity and homestead crops are the prime resources for the socio-economic development of rural people.
Virtual Network Control for Power Bills Reduction and Network Stability

The environmental load of telecommunication service provision is increasing due to the increase in communication traffic. Virtual networks have recently begun to spread, and flexible virtual network control is expected to reduce the operating costs of telecommunication services. This paper proposes a control method to achieve both reduced power bills and stable network operation when the electricity unit price differs among areas and time periods. To begin with, the problem to minimize power bills is formulated, and to solve it quickly, a heuristic search method is proposed that utilizes network centrality. In addition, we formulate a multi-objective optimization problem characterized by parameter normalization, and simulation results show that the proposed control method can reduce power bills while suppressing the number of network reconfigurations.