Miracle-dz/UniFAR-FTUs huggingface dataset:
Traditional Ecological Knowledge of Fishermen: People Contributing towards Environmental Preservation

Studies on traditional ecological knowledge are relevant from the point of view of valuing traditional populations and environmental preservation of ecosystems throughout the planet. We aim to analyze the environmental preservation practices transmitted from the traditional ecological knowledge (TEK) of traditional fishermen. In this narrative literature review, we rely on information available in articles available in the Web of Science database. We inductively analyzed the convergences and divergences of the articles. Studies on TEK are spread around the world, with an emphasis on Brazil. Studies on TEK by fishermen demonstrate the importance of recording the memory of actions in the effort of transmitting traditional ecological knowledge, helping in the process of management and conservation of natural resources in different environments.
Fuzzy Logic Based Rotor Health Index of Induction Motor

Abstract This paper presents an experimental study on detection and diagnosis of broken rotor bars in Squirrel Cage Induction Motor (SQIM). The proposed scheme is based on Motor Current Signature Analysis (MCSA) which uses amplitude difference of supply frequency to upper and lower side bands. Initially traditional MCSA has been used for rotor fault detection. It provides rotor health index on full load conditions. However in real practice if a fault occurs motor can not run at full load. To overcome the issue of reduced load condition a Fuzzy Logic based MCSA has been designed, implemented, tested and compared with traditional MCSA. A simulation result shows that proposed scheme is not only capable of detecting the severity of rotor fault but also provides remarkable performance at reduced load conditions.
5-Lipoxygenase: Its Noncanonical Function Unravels its Inhibitors as Powerful Antileukemic Drugs

Besides its function as key enzyme in the biosynthesis of leukotrienes (Figure 1), there is accumulating evidence that 5-lipoxygenase (5-LO) has additional, noncanonical functions. The enzyme is mainly expressed in leukocytes. After stimulation of neutrophils, the enzyme is activated by an increase in intracellular calcium concentration and by phosphorylation by 5-LO kinases. Leukotrienes are considered as proinflammatory mediators which are involved in host defense reactions and which contribute to allergic and inflammatory reactions (1). Zileuton (Figure 2) is the only approved 5-LO inhibitor, which binds to the iron ion in the active cite. Cys-LT1 receptor antagonists which block the action of LTC4 and its metabolites in the lung are approved for the treatment of asthma and allergic rhinitis. Expression of the enzyme is regulated in a cell cycle and cell differentiationdependent manner (2). It is a TGF-β and vitamin D response gene which seems to be controlled by transcription factors that regulate stemness, lineage-specific differentiation of myeloid and lymphocytic cells including p53, SMAD1, C/EBPα, GATA2, PU.1, RUNX1, RUNX3 and the WNT pathway (3). Aberrant 5-LO expression is observed in many cancer tissues and cells which suggested that the 5-LO pathway might be involved in cancer development (for review see (4)). A clear evidence for the role of 5-LO in cancer came from the observation that 5-LO knockout prevents the development of chronic myeloid leukemia in a murine BCR/ABL leukemia model (5). Interestingly, 5-LO knockout does not seem to lead to a defect in normal hematopoiesis. First mechanistic insights into the role of 5-LO came from the observation that 5-LO alters nuclear trafficking of p53 and leads to inhibition of apoptosis (6).
Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews

Unselected population-based personalised ovarian cancer (OC) risk assessments combining genetic, epidemiological and hormonal data have not previously been undertaken. We aimed to understand the attitudes, experiences and impact on the emotional well-being of women from the general population who underwent unselected population genetic testing (PGT) for personalised OC risk prediction and who received low-risk (<5% lifetime risk) results. This qualitative study was set within recruitment to a pilot PGT study using an OC risk tool and telephone helpline. OC-unaffected women ≥ 18 years and with no prior OC gene testing were ascertained through primary care in London. In-depth, semi-structured and 1:1 interviews were conducted until informational saturation was reached following nine interviews. Six interconnected themes emerged: health beliefs; decision making; factors influencing acceptability; effect on well-being; results communication; satisfaction. Satisfaction with testing was high and none expressed regret. All felt the telephone helpline was helpful and should remain optional. Delivery of low-risk results reduced anxiety. However, care must be taken to emphasise that low risk does not equal no risk. The main facilitators were ease of testing, learning about children’s risk and a desire to prevent disease. Barriers included change in family dynamics, insurance, stigmatisation and personality traits associated with stress/worry. PGT for personalised OC risk prediction in women in the general population had high acceptability/satisfaction and reduced anxiety in low-risk individuals. Facilitators/barriers observed were similar to those reported with genetic testing from high-risk cancer clinics and unselected PGT in the Jewish population.
Interference-Aware Spectrum Resource Management in Dynamic Environment: Strategic Learning With Higher-Order Statistic Optimization

Wireless spectrum environment is complex and uncertain in practical scenarios. For spectrum resource management, there are two crucial challenges to be resolved. First, channel states are always time-varying, thus violent fluctuations of interference links bring difficulties to interference mitigation. Second, the optimization efficiency degrades when jointly considering frequency coordination and power adaption. In this paper, we focus on the interference-aware resource management in a dynamic radio environment. First, we propose a new metric named effective weighted aggregate interference to capture the fluctuations of time-varying interference links. Then, we investigate the joint channel selection and power assignment problem from the perspective of game theoretic, and propose a novel mechanism called action freezing to significantly improve the optimization efficiency. Furthermore, we develop a higher-order statistic optimization based multi-agent strategic learning (HSOMSL) algorithm to alleviate the effect of fluctuating payoffs and obtain stable solutions. Simulation results illustrate that the proposed algorithm has lower experienced interference, higher achievable throughput, and better energy efficiency compared to existing state-of-the-art algorithms. In addition, it is verified to be effective in mobile scenarios.
An Analytical Study of Design Configurations in Pakistani Paintings

This paper sets forth a scientific and analytical approach for understanding the creative process as manifested in a painting by focusing on design elements and principles. It is argued that an artist knowingly or unknowingly uses certain design configurations, which influences the viewer’s interpretation of painting significantly. Firstly, how a painter creates an artwork is defined in terms of the combined activity of his mental processes. These processes range from intuition to the final composition of the artwork and are actualized in different stages of the conception and final composition of an artwork. Secondly, the emotional and intellectual processes of the viewer are also pertinent in critically evaluating the essential message in an artwork. The meaning of this message, therefore, relies as much on the viewer as on the artist. This becomes clear by looking at design configurations as manifested in the works of contemporary Pakistani painters. The paper provides a new way of understanding the work of Pakistani painters from the perspective of design.
Rapid Evolution

Never doubt with our offer, because we will always give what you need. As like this updated book, you may not find in the other place. But here, it's very easy. Just click and download, you can own the rapid evolution. When simplicity will ease your life, why should take the complicated one? You can purchase the soft file of the book right here and be member of us. Besides this book, you can also find hundreds lists of the books from many sources, collections, publishers, and authors in around the world.
In Your Eyes: Modality Disentangling for Personality Analysis in Short Video

With the dramatic growth of various short video platforms, users are more likely to share their social stream online and make their social connections stronger. To better understand their preferences, personality analysis has attracted more attention. Unlike single modal data such as text or images, which is hard to comprehensively uncover one’s personal traits, personality analysis on short video is verified to be much more accurate but also more challenging because of the huge gap between incompatible data modalities. We have noticed that the key problem is how to disentangle the complexity from multimodal data to find their consistency and uniqueness. In this article, we propose a novel video analysis framework for personality detection with visual, acoustic, and textual neural networks. Specifically, to enhance our model’s sensitivity to personality detection, we first propose three deep learning channels to learn modal features. The framework can not only extract each modal feature but also learn time-varying pattern via a temporal alignment network. To identify the consistency and uniqueness across multiple modalities, we creatively propose to maximize the similarity of common information learned by a shared neural network across multiple modalities and extend the distance of exclusive information learned by private networks of different modalities. Extensive experiments on the real-world dataset demonstrate that our model can outperform existing baselines.
Effect of Air-Polishing and Different Post-Polishing Methods on Surface Roughness of Nanofill and Microhybrid Resin Composites

Air-abrasion is a popular prophylactic procedure to maintain oral hygiene. However, depending on the applied air-abrasive powder, it can damage the surface of the tooth and restorations, making it susceptible to plaque accumulation. The purpose of this study was to investigate the effect of 5 s and 10 s air-abrasion of calcium carbonate on surface roughness (Ra) of enamel, nanofill, and microhybrid resin-composites and the effect of post-polishing with two-step rubber- (RP) or one-step brush polisher (BP) to re-establish the surface smoothness. Surface topography was visualized by scanning-electron-microscopy. The quantitative measurement of the Ra was carried out with atomic-force-microscopy. Air-abrasion for 10 s decreased the Ra of enamel as a result of abrasion of the natural surface texture. Post-polishing with RP after 10 s air-abrasion did not change the Ra or BP; however, Ra was increased significantly by scratching the surface. Air-abrasion increased the Ra of resin composites significantly, irrespective of the application time. While RP provided a similarly smooth surface to the control in the case of microhybrid resin composite, BP increased the Ra significantly. The Ra for the control group of the nanofill-resin composite was initially high, which was further increased by air-abrasion. RP and BP re-established the initial Ra with deeper and shallower scratches after BP. Both the material and treatment type showed a large effect on Ra.
6/14 Switched Reluctance Machine Design for Household HVAC System Applications

iii Acknowledgements . iv Table of contents . vi List of publications . x Journal papers . x Conference papers . x List of figures . xi List of tables . xviii List of abbreviations . xxi Chapter 1 – Introduction and motivation . 1 1.1 Motivation . 1 1.2 Contributions . 4 1.3 Thesis outline . 4 Chapter 2 – Household electric motor applications and HVAC systems . 6 2.1 Areas of electric motor usage in household application. 6 2.2 Household furnace HVAC application. 13 Chapter 3 – Fundamentals of switched reluctance machines . 17 vii 3.1 Switched reluctance machine mechanism . 17 3.2 Switched reluctance machine operation . 22 3.3 Electromechanical energy conversion . 25 3.4 Switched reluctance machine control strategy fundamentals . 30 Chapter 4 – Testing of brushless DC synchronous electric motor . 32 4.1 Target motor product overview . 32 4.2 SMPS motor disassembly and inspection . 35 4.3 SMPS motor bench-testing setup . 46 4.4 SMPS motor bench-testing results . 53 Chapter 5 – 6/14 switched reluctance machine design optimization . 61 5.1 Initial geometry optimization . 64 5.1.1 Initial optimization #1 . 65 5.1.2 Initial optimization #2 . 69 5.1.3 Initial optimization #3 . 73 5.1. 4 Initial optimization #4 . 76 5.2 Further geometry optimization . 80 5.2.1 Detailed optimization #1 . 80 5.2.2 Detailed optimization #2 . 84 5.2. 3 Final model selection . 86
A Portable Biosensor Based on Au Nanoflower Interface Combined with Electrochemical Immunochromatography for POC Detection of Prostate-Specific Antigen

Serum prostate-specific antigen (PSA) is a widely used for the detection of prostate cancer and is considered the most reliable biomarker. However, the currently reported detection methods cannot achieve rapid monitoring. Here, we report a novel electrochemical immunochromatography (EIC) system for clinically accurate PSA detection. First, we constructed a carbon interface modified with gold nanoflowers (Au NFs) based on screen-printed carbon electrodes (SPCE), which acted as nanostructures with larger specific surface area that increased the number of PSA capture antibodies and can further improve detection signal-to-noise (S/N) ratio. Then, we fabricated detection chips by combining the SPCE/Au NFs with EIC. Under optimized conditions, the proposed biosensor exhibits high accuracy, taking only 15 minutes to complete detection. By measuring the levels of PSA in clinical blood samples, the biosensor can successfully discriminate clinically diagnosed prostate cancer patients from healthy controls.
Razpoznavanje slovenskega govora z metodami globokih nevronskih mrež

V zadnjem času se na področju samodejnega razpoznavanja govora uveljavljajo globoke nevronske mreže, ki nadomeščajo akustično modeliranje z uporabo HMM in GMM modelov ter n-grame za jezikovni model. Za razpoznavanje govorjene slovenščine smo izdelali in preizkusili več arhitektur časovno zakasnjenih nevronskih mrež in nevronskih mrež z dolgim kratkoročnim spominom na akustičnem in jezikovnem modelu v sistemu Kaldi. Razpoznavalnik smo učili na obširnem besednjaku, ki vsebuje približno milijon različnih besed. Najboljše rezultate smo dosegli s časovno zakasnjenimi nevronskimi mrežami, kjer smo dosegli 27,16% napako po kriteriju WER. Preliminarni rezultati kažejo boljšo natančnost v primerjavi z Googlovim speech-to-text modelom, vendar pa je potrebno več dodatnega testiranja za zanesljivo primerjavo.
Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns

Over the last two decades, there has been a tremendous increase in research activity on brain connectivity studies and its application in different neurological disorders. Studies have been focused on different connectivity patterns generated and potential biomarkers that could be derived to find the etymology of the disorder. In this review, the focus is on the utilization of wireless electroencephalogram monitoring system for functional connectivity analysis and its capacity for deciphering neurological disorders. The paper reviews different methods adopted to estimate connectivity and the possible convergence of connectivity patterns in four neurological disorders: epilepsy, autism spectrum disorder, Alzheimer and Parkinson's disease. The paper reviews the current status of connectivity research in the aforementioned neurological disorders and its potential in developing a smart e‐health service.
High Performance Thin-film Transistors with Hybrid-phase ITO-stabilized ZnO Active Channel Layer

The advancement of displays towards large area and ultrahigh definition claim thin film transistors (TFTs) with higher electrical performance, uniformity and stability. The most prevalent a-IGZO is theoretically limited by its composition and randomness, and seems insufficient to provide demanded mobility (> 20 cm/Vs) [1]. Binary ZnO suffers from instability issues that related to native defects [2]. In this paper, we propose the ITO-stabilized ZnO thin film with less native defects, and introduce a novel hybrid-phase microstructure, where nanocrystals are embedded in an amorphous matrix. The proposed thin film can provide relatively high mobility and stability. Following a sufficient study on microstructural and electrical properties of hybrid-phase ITOstabilized ZnO thin films, both staggered bottom-gate and top-gate TFTs with this optimal ITO-stabilized ZnO channel layers are fabricated, and exhibit a fairly high electrical performance especially in field-effect mobility and subthreshold swing. Additionally, the electrical performance of devices is proved to be spatially uniform and stable.
Low-Complexity Hybrid Precoding Based on PAST for Millimeter Wave Massive MIMO System

SUMMARY Millimeter wave (mmWave) massive Multiple-Input Multiple-Output (MIMO) systems generally adopt hybrid precoding combining digital and analog precoder as an alternative to full digital precoding to reduce RF chains and energy consumption. In order to balance the rela-tionship between spectral e ﬃ ciency, energy e ﬃ ciency and hardware com- plexity, the hybrid-connected system structure should be adopted, and then the solution process of hybrid precoding can be simpliﬁed by decompos- ing the total achievable rate into several sub-rates. However, the singular value decomposition (SVD) incurs high complexity in calculating the opti- mal unconstrained hybrid precoder for each sub-rate. Therefore, this paper proposes PAST, a low complexity hybrid precoding algorithm based on projection approximate subspace tracking. The optimal unconstrained hybrid precoder of each sub-rate is estimated with the PAST algorithm, which avoids the high complexity process of calculating the left and right singular vectors and singular value matrix by SVD. Simulations demonstrate that PAST matches the spectral e ﬃ ciency of SVD-based hybrid precoding in full-connected (FC), hybrid-connected (HC) and sub-connected (SC) sys- tem structure. Moreover, the superiority of PAST over SVD-based hybrid precoding in terms of complexity and increases with the number of trans- mitting antennas.
The Impact of Telemonitoring on Improving Glycemic and Metabolic Control in Previously Lost-to-Follow-Up Patients with Type 2 Diabetes Mellitus: A Single-Center Interventional Study in the United Arab Emirates

Background Telemonitoring (TM), mobile-phone technology for health, and bluetooth-enabled self-monitoring devices represent innovative solutions for proper glycemic control, compliance and monitoring, and access to providers. Objective In this study, we evaluated the impact of TM devices on glycemic control and the compliance of 38 previously lost-to-follow-up (LTFU) patients with type 2 diabetes mellitus (T2DM). Methods This was an interventional single-center study that randomly recruited LTFU patients from the Dubai Diabetes Center (DDC), UAE. After contact and recruitment by phone, patients had an initial visit at which they were provided with home-based TM devices. A follow-up visit was conducted three months later. Results The mean HbA1c decreased significantly from 10.3 ± 1.9% at baseline to 7.4 ± 1.5% at the end of follow-up, with a mean difference (MD) of −2.9% [95% CI: −3.6 to −2.2]. The percentage of patients with HbA1c <7% was 50% after three months. Home-based blood sugar monitor devices showed a significant reduction in fasting blood glucose (FBG) after three months (MD = -40.1 mg/dL, 95% CI: −70.8 to −9.3). A significant reduction was observed in terms of body weight after three months (MD = −1.3 kg, 95% CI: −2.5 to −0.08). The mean number of days the participants used a device was the highest for portable pill dispensers (86.5 ± 22.8 days), followed by a OneTouch® blood glucose monitor (72.9 ± 23.5 days). Conclusions TM led to significant improvements in overall diabetes outcomes, including glycemic control and body weight, indicating its effectiveness in a challenging population of T2DM patients who had previously been lost to follow-up.
IUT MAV2013, Part I: Aerodynamic design of tailless wing and body configuration

In this paper, a procedure is presented to select the MAV airfoil shape without horizontal tail and to study all parameters of airfoil selection. A number of suitable airfoil sections are examined. Using the proposed procedure, a vast range of airfoils can be evaluated in such a way that the time required for design and flight tests reduces. In this method, the trial and flight tests are key components to conform the most design procedures. Having designed the air vehicle weight, it is necessary that the most fitted plan-form be selected for the defined mission. The designed fixed wing and body configuration for the IUT MAV2013 is presented here.
Water Pipeline Monitoring and Leak Detection using Flow Liquid Meter Sensor

Water distribution is generally installed through underground pipes. Monitoring the underground water pipelines is more difficult than monitoring the water pipelines located on the ground in open space. This situation will cause a permanent loss if there is a disturbance in the pipeline such as leakage. Leaks in pipes can be caused by several factors, such as the pipe’s age, improper installation, and natural disasters. Therefore, a solution is required to detect and to determine the location of the damage when there is a leak. The detection of the leak location will use fluid mechanics and kinematics physics based on harness water flow rate data obtained using flow liquid meter sensor and Arduino UNO as a microcontroller. The results show that the proposed method is able to work stably to determine the location of the leak which has a maximum distance of 2 metres, and it’s able to determine the leak location as close as possible with flow rate about 10 litters per minute.
Leakage-Current-Canceling Current-Sampling Sense Amplifier for Deep Submicrometer STT-RAM

In the design of nonvolatile memory (NVM), the sense amplifier (SA) contributes a major part of the power consumption due to high-frequency read operations. This brief proposes a leakage-current-canceling current-sampling sense amplifier (LCCS-SA) for the suppression of the read power consumption by operating in near-threshold region. The proposed LCCS-SA adopts the technology of offset cancellation and single-ended differential circuit structure to compensate the effect of the leakage current. The bit-line (BL) leakage-induced read failure is effectively suppressed in near-threshold region. Monte Carlo simulation demonstrates that the proposed LCCS-SA can operate at a supply voltage of 0.4 V and achieves 4.4 times lower read energy per bit compared to the conventional current-sampling-based SA.