Attractive Power Research Articles

Cultural Landscape is a Power of Increasing the Beauty of the Natural Landscape and It is an Attraction to the Traveller for Visits the Tourists Places: A Study in West Bengal Major Tourist Spots Cultural Landscape

The study mainly focused on the cultural landscape’s impact on the tourism spots in West Bengal and it is really effective to attraction power to the travellers. The article mainly represents cultural landscape refers to the modification of the natural landscape by human activities and it is increase the beauty of the tourists spots. we have directly contact to some travellers for collection their satisfactory level and observation their main subject to create an attraction for a specific tourist places and collection the data and more information to use internet websites. We are using FDGs method, online survey, questionnaire survey and GIS software for using secondary data collection. We showing the major tourist spots of West Bengal, such as Darjeeling, Sundarbans, Santiniketan, Dooars, Bishnupur and Purulia. In those places we observed their natural beauty and elements of cultural landscape increase the beauty of environment. And represents to analysis of this think that culture is a key to the development of natural landscape and attraction to the travellers to those places. And this study helps to deployment of these places for visiting large amount travellers.

Top Boy Crossdressing: The Life of Heliogabalus in the Historia Augusta

Focusing on the Life of Heliogabalus in the so-called Historia Augusta or Imperial History, an anonymous late fourth century CE work, the chapter argues that beautiful rulers who cross dressed with abandon were part of late Roman imperial masculinity and its representation. This was so because the Christian emperor Theodosius was very aware of same-gender or homoerotic attraction as unifying force, which he also employed to strengthen the rule of his sons, made full co-rulers as children. However, as the highly satirical Life of Heliogabalus makes clear, gorgeous, soft young emperors had to maintain and make visible specific power relations. If they could not demonstrate that they controlled their generals rather than the other way round, the power of homoerotic attraction could backfire.

An Enhanced Edge Computing Technique for Detection of Voltage Fluctuation in Grid-tied Renewable Energy

Renewable energy sources (RES) such as solar photovoltaic and wind are becoming the most attractive power generation options in many nations. Even while high penetration seems likely, power quality anomalies such as voltage fluctuation, harmonics, and frequency fluctuation associated with RES hinder seamless integration. The variability and unpredictability of these sources create the most oddities. In grid-tied renewable energy, monitoring power quality efficiently is crucial. Power grid monitoring solutions in related literature use sensor-based cloud and edge computing techniques. The existing systems struggle with excessive latency when delivering large amounts of generated data to the cloud. To fill this gap, a new approach for the detection and localization of voltage fluctuation is proposed in this study. The approach integrated three techniques namely; feed-forward neural network (FFNN), Stockwell transform, and anomaly-aware edge computing to detect and locate voltage fluctuation in a GtRE. Using MATLAB/Simulink, virtual emulation of a modified IEEE 33 Bus and a GtRE representing a section of Ado Ekiti (in Nigeria) low-voltage distribution grid are carried out for data generation and system evaluation. Feature extraction was carried out in a Python IDE using Stockwell transform. The voltage fluctuation events are detected and localized based on the extracted features using the trained FFNN model deployed and evaluated within three microcontroller-based computing devices. The proposed approach integrated anomaly-aware with edge computing to send only voltage data that are considered abnormal to a dedicated data center for visualization and storage. Performance evaluation of the proposed technique on the simulated GtRE demonstrates a significant decrease of 98% and 90% in latency when compared to cloud computing and conventional edge computing respectively. Comparison of the proposed approach to two closely related solutions in literature also demonstrates a 50% and 92.5 % reduction in latency. The contribution of the study is the reduced latency and minimal bandwidth utilization achieved by the implementation of the developed technique.

Access to an ELM-suppressed X-point radiator regime in TCV snowflake minus configurations

TCV’s operating regime with an X-point radiator (XPR) has been broadened by changing the magnetic geometry. XPRs have properties that could make them an attractive power exhaust solution for fusion reactors. These include the conversion of a high fraction of exhaust power into radiation. TCV had previously accessed the XPR regime only with difficulties, as predicted for plasmas where radiative losses are dominated by carbon impurities, that are ubiquitous in TCV. Guided by this theoretical model of the XPR, recent experiments employed TCV’s configurational versatility to demonstrate that XPR access can be facilitated by introducing a second X-point in the vicinity of the separatrix. This configuration, which has a snowflake-minus topology, features a particularly long magnetic connection length from the region just above the X-point to the outer midplane together with a wide geometrical interface with the private flux region that reaches high neutral pressure. Transitioning to this configuration in a high-power H-mode leads to a shift in the radiating region across the separatrix from the divertor to a volume above the X-point, i.e. within the last closed flux surface (LCFS). This displacement of the radiating region is co-incident with the disappearance of edge localised modes (ELMs), while retaining H-mode confinement, a behaviour only, to date, observed in devices with metallic walls. In contrast to observations in these other devices, on TCV, the primary strike points in these configurations remain attached. Detailed measurements of the plasma kinetic parameters inside and outside of the separatrix now challenge the models for access and stability of the XPR and ELMs alike.

An effective imaging based diagnosis of Solar Photovoltaic System and performance parameters for smart solar power grid

Another of the most attractive power generation sources for residential, corporate, and commercial operations is energy production. Due to this compelling qualities, photovoltaic systems (PV) electricity production have increasingly attracted the attention of researchers and professionals. Nonetheless, the greatest obstacle in generating energy from the sun is the predictable discontinuous output power from photovoltaic (PV) systems, which is largely caused by climate. The power differential of a photovoltaic panels may considerably reduce the financial profit of large scale solar fields. For everyday proper management of electricity supply production, distribution, and storing as well as for judgement on the electricity market, results were consistent prediction of the electricity output of solar PV systems is essential. The 5 subjects mentioned in this article are: The varied faults which might occur in PV panels; internet Photovoltaic panels monitoring; Use of machine learning approaches in Photovoltaic module damage detection; Advantages of fault diagnosis in PV panels and the various motion sensors used for this purpose are discussed. Recommendation for future possible research paths are given in view of the evaluated research.

A review on the current status of dye‐sensitized solar cells: Toward sustainable energy

AbstractDye‐sensitized solar cells (DSSCs) are among the most attractive third‐generation photovoltaic technologies due to their low toxicity, versatility, roll‐to‐roll compatibility, ultralightness, and attractive power conversion efficiencies (PCEs). However, their transition from the laboratory scale to the industrial scale has been slow due to their inability to compete with silicon‐based cells in terms of efficiencies and stabilities. Research activities on DSSCs have been ongoing for several decades to improve the efficiency and cost‐effectiveness of photovoltaics but these attempts are still inadequate. Their chemical and physical properties must be refined to increase efficiency and commercialization. This review provides a concise overview of the recent advances taking place in the DSSCs research field, including molecular engineering technologies, the quest for superior carrier transport materials (CTMs), efficient sensitizers, and better electrodes. Also, this review compiles knowledge of the historical development of DSSCs, the current advancements such as control of surface morphologies, doping strategies, modeling and simulation, characterization, and recent cutting‐edge research happenings in photovoltaic research. Finally, nanostructured materials that have been used as photoelectrodes and the practical applications of DSSCs in internet of things (IoT) and portable electronics are examined to identify challenges and future advancements. The main aim of this work is to be a pathfinder for scientific researchers in this field exploring various energy harvesting materials and optimization strategies of different components of DSSCs.

3D DEM simulations of cyclic loading-induced densification and critical state convergence in granular soils

Granular soils exhibit very complex responses when subjected to cyclic loading. Understanding the cyclic behavior of such materials is not only crucial for engineering applications but also the bottleneck of most of constitutive models. This study employs 3D Discrete Element Method (DEM) simulations to explore the accumulative plastic deformation and the internal fabric evolution within granular soils during cyclic loading. Two novel observations are identified: (1) A distinct and unique linear relationship between post-cyclic loading void ratio e and log (p*/p0) is found independent of the amplitude of cyclic load and the initial stress state prior to cyclic loading, where p* is the mean pressure incorporating cyclic loading stress and p0 is the mean pressure prior to cyclic loading; (2) When resuming drained triaxial loadings after cyclic loadings, we observe that both microstructural and macroscopic variables converge to the same values they would have reached for pure monotonic drained triaxial loadings. This intriguing behavior underscores and extends to more general loading paths the influential and attractive power of the critical state.

Assessment of sustainable baits for passive fishing gears through automatic fish behavior recognition

Low-impact fishing gear, such as fish pots, could help reduce human’s impact on coastal marine ecosystems in fisheries but catch rates remain low and the harvest of resources used for baiting increases their environmental cost. Using black seabreams (Spondyliosoma cantharus) as target species in the Bay of Biscay, we developed and assessed the efficiency of biodegradable biopolymer-based baits (hereafter bio-baits) made of cockles (Cerastoderma edule) and different biopolymer concentrations. Through a suite of deep and machine learning models, we automatized both the tracking and behavior classification of seabreams based on quantitative metrics describing fish motion. The models were used to predict the interest behavior of seabream towards the bait over 127 h of video. All behavior predictions categorized as interested to the bait were validated, highlighting that bio-baits have a much weaker attractive power than natural bait yet with higher activity after 4 h once natural baits have been consumed. We also show that even with imperfect tracking models, fine behavioral information can be robustly extracted from video footage through classical machine learning methods, dramatically lifting the constraints related to monitoring fish behavior. This work therefore offers new perspectives both for the improvement of bio-baits and automatic fish behavior recognition.

Trade-offs of wind power production: A study on the environmental implications of raw materials mining in the life cycle of wind turbines

The energy demand in Sweden is increasing due to the growing electrification, and to meet this need, the generation must be expanded. Wind power generation is a very attractive renewable power production alternative for Sweden because of the favorable weather conditions.Research looks at how much wind energy may be deemed sustainable. Increased energy demand puts pressure on the government and industry to build more wind farms and, as a result, produce more wind turbines. Raw materials are necessary for wind turbines to provide a secure transition to green energy technologies. To meet these demands, the materials from various countries should efficiently contribute towards the Sustainable Development Goals (SDGs). This paper gathers information about raw resources from diverse nations worldwide. All materials are mapped to the country where they are produced using social science criteria. A few nations are chosen based on a sample approach for further analysis, and the implications of mining operations are investigated. Finally, the direct and indirect effects of the SDGs are considered.Based on the data gathered, recommendations and considerations are given to avoid or mitigate the repercussions of raw materials mining and make wind power generation more socially and environmentally sustainable.

3D Weight-Bearing CT Imaging Analysis of Foot Mechanics: Bridging High Heels and Hallux Valgus

Introduction/Purpose: Evidence in the literature suggests the negative effects of using High Heels (HH), becoming a challenge for clinicians and researchers since they are welcomed by women worldwide, mainly due to the subjective power of attractiveness given to them. Although some people blame HH as one of the causes of Hallux Valgus (HV), until now, there are no studies in the literature that effectively prove a cause-effect relationship between HH and HV. The objectives of this study are: (1) to analyze whether the increase in heel height can lead to HV and (2) to evaluate whether HV can increase in severity with increasing heels. We hypothesized that an increase in heel height could cause and increase the severity of HV deformity. Methods: Comparative cross-sectional study. Forty-one feet from twenty-one participants (11 males and 10 females, aged 30.8 ± 8.9 years, and with Body Mass Index 25.5 ± 2.0 m kg2) were recruited. HH shoes were designed for this study with three heights for each participant: 3, 6, and 9 cm. The inclusion criteria were: no regular wearing of heels. The exclusion criteria were: Hallux Valgus diagnosis and/or any orthopedic conditions that affect the Foot and Ankle joints. Hallux Valgus Angle (HVA), Intermetatarsal Angle (IMA), First-Metatarsal Phalangeal Angle, 1st-to-5th Intermetatarsal Angle, First Tarsometatarsal Angle (axial), Second tarsometatarsal angle (axial), Hindfoot Moment Arm (HMA) (mm), Saltzman 45 angle and, Foot Ankle Offset (FAO) were measurement using semiautomated software analysis. Multiple comparisons were performed (Bonferroni's for normal distributions and Wilcoxon test for no normal distributions) when there was a main effect on an outcome (p < 0.05). Results: With the increase in HH, we noticed a progressive increase in HVA (p < 0.001), IMA (p < 0.001), First-Metatarsal Phalangeal Angle (p < 0.001), First Tarsometatarsal Angle (axial) (p < 0.001), and the Second tarsometatarsal angle (axial) (p < 0.001). The Hindfoot Moment Arm (HMA) (mm), Saltzman 45 angle, and Foot Ankle Offset (FAO) had hindfoot varization behavior. When we stratified the groups and compared them, we noticed that an increase of 3 cm in heels slightly increased HVA and IMA (p > 0.05). However, heel increases above 6 cm significantly increased HVA and IMA (p > 0.001). Based on Coughlin's classification, a 3 cm heel increase promoted a mild HV and increases above 6 cm caused a moderate HV. Conclusion: Based on data from our study with patients without Hallux Valgus through analysis with WBCT versus high heels, we conclude that increasing heel height can lead to Hallux Valgus and can progressively increase the severity with increasing high heels. High heels above 6 cm can lead to moderate Hallux Valgus. These findings may be an essential step toward a better understanding of the effects of increasing high heels on Hallux Valgus pathology.

RESEARCH ON THE DRIVING FORCE OF CHINA'S RURAL TOURISM DEVELOPMENT BASED ON VILLAGE LANDSCAPE RESOURCES

This paper mainly adopts qualitative research, summarizes the development stage of rural tourism through in-depth interviews and second-hand data analysis, and uses the root theory to study the driving force of rural tourism development based on village landscape resources. From the different stages of rural tourism development, the driving force of different stages of development is proposed, the role of attraction, endogenous force, development force, and subsequent power of rural tourism development on rural tourism development is explored, and the model diagram of the driving force of rural tourism development is constructed.

Air-breathing Mg-Cu/CuO fuel cell

Magnesium fuel cells deliver higher electrical power output than lithium-ion batteries and have the potential to become an economically attractive alternative power source for domestic purposes. In place of noble metals in the air cathode of Mg fuel cells, we investigate the use of an integrated structure of a catalyst and current collector composed of a Cu/CuO hetero-structure. For a single cell, comprising of electrodes of dimension 3 cm × 1.5 cm with aqueous NaCl as the electrolyte, the Mg- Cu/CuO-based fuel cell shows an open-circuit voltage of 0.7 V and discharge current drain rate of 0.45 mA/s. A power density of 8.75 µWcm−2 is obtained with a CuO-based cathode when 1 M NaCl electrolyte is used. Relative to the magnesium-carbon-based fuel cell, the Mg-Cu/CuO fuel cell shows improved stability of the anode and cathode materials and extended operational time.

In-situ electrochemical fabrication of CuO/Cu2O photocathode for high-performance photo-assisted Mg/seawater battery

Photo-assisted Mg/seawater batteries (PAMSBs) are attractive power source for marine equipment due to the advantage of simultaneous generation of electricity and hydrogen from seawater. Nonetheless, the serious photo-corrosion of photocathodes results in dissatisfactory battery performance, which substantially hinder their practical applications. Herein, we design a CuO/Cu2O heterostructure as the photocathode of PAMSBs via a facile in-situ electrochemical strategy, successfully enhance the photo-stability of bare Cu2O. During half-cell photoelectrochemical water splitting, the newly-developed CuO/Cu2O photocathode reveals a photo-current density about 2.2 ​mA ​cm−2 at 0 ​V (vs. RHE) and enables nearly 100% retention of the initial photocurrent density after 2h long-term operation, more than 10 times stable than the bare Cu2O photocathode. A PAMSB with a CuO/Cu2O photocathode achieves a maximum power density up to 22.67 ​mW ​cm−2 and a hydrogen yield rate up to 1.18 ​mL ​cm−2 min−1, much higher than those obtained with a bare Cu2O photocathode. This study offers a simple and convenient electrochemical strategy for in-situ fabrication of CuO/Cu2O heterojunction photocathodes, and also demonstrate the feasibility of PAMSBs as a power source and a hydrogen generator, which lays foundation for its future marine application.

Spontaneous Growth of Perovskite‐Derived Oxide over Double Perovskite Surface for Enhancing Cathodic Performance in Protonic Ceramic Fuel Cells

AbstractRobust catalytic materials with high activity and stability play important roles in energy conversion and storage devices such as protonic ceramic fuel cells (PCFCs), in which a favourable cathode should possess high oxygen ion, proton and electron triple conductivities, and superior surface oxygen exchange kinetics. Herein, a thermal‐driven self‐construction phenomenon in cation‐nonstoichiometric Ba1+xGd1‐xCo2O6‐δ is reported, accordingly developing a new type of nanocomposite, that is, double perovskite BaGdCo2O6‐δ (DP‐BGCO) anchored by perovskite‐derived BaCoO3‐δ (P‐D‐BCO) nanoparticles, which, used as the cathode of PCFCs, demonstrates low area‐specific resistances of 0.053 and 0.026 ohm cm−2 respectively at 650 and 700 °C over BaZr0.3Ce0.5Y0.1Yb0.1O3‐δ protonic electrolyte and attractive peak power densities of 0.87 (650 °C) and 1.15 W cm−2 (700 °C) with outstanding stability, much superior to the similar cell with single‐phase BCO or BGCO cathodes. The synergy between the two components brings the outstanding performance with the mixed oxygen ion and electronic conducting perovskite‐derived oxide showing superior catalytic activity for oxygen reduction reaction while the double perovskite provides good bulk protonic conductivity to enlarge reaction sites. Such selective self‐construction, well manipulated through the A‐site cation stoichiometry engineering, provides a facile way for developing new high‐performance electrocatalysts with broad application potential.

A self-powered intracardiac pacemaker in swine model

Harvesting biomechanical energy from cardiac motion is an attractive power source for implantable bioelectronic devices. Here, we report a battery-free, transcatheter, self-powered intracardiac pacemaker based on the coupled effect of triboelectrification and electrostatic induction for the treatment of arrhythmia in large animal models. We show that the capsule-shaped device (1.75 g, 1.52 cc) can be integrated with a delivery catheter for implanting in the right ventricle of a swine through the intravenous route, which effectively converts cardiac motion energy to electricity and maintains endocardial pacing function during the three-week follow-up period. We measure in vivo open circuit voltage and short circuit current of the self-powered intracardiac pacemaker of about 6.0 V and 0.2 μA, respectively. This approach exhibits up-to-date progress in self-powered medical devices and it may overcome the inherent energy shortcomings of implantable pacemakers and other bioelectronic devices for therapy and sensing.

Beyond metal–air battery, emerging aqueous metal–hydrogen peroxide batteries with improved performance

AbstractThe aqueous metal–H2O2 batteries have been paid rapidly increasing attention due to their large theoretical energy densities, attractive power density, and multiple applications (air, land, and sea), especially in low‐content oxygen or nonoxygen conditions in which metal–air cells are out of work. However, the requirements of metal–H2O2 batteries are different due to the order of metal activities (Mg > Al > Zn) as well as metal–air cells. Aqueous metal–H2O2 batteries mainly include Al–H2O2, Mg–H2O2, and Zn–H2O2 batteries with the respective scientific problems, including battery structures, single/dual‐electrolyte systems, electrocatalysts for O2 reduction/evolution reactions, H2O2 reduction/production/decomposition, and the designability of anode to inhibit self‐corrosion. In this review, we summarized battery architectures, possible mechanisms, and recent progress in metal–H2O2 batteries, including Al–H2O2, Mg–H2O2, and Zn–H2O2 batteries. Several perspectives are also provided for these research fields, which may be focused on in the future.

Multi-layering of carbon conductivity enhancers for boosting rapid recharging performance of high mass loading lithium ion battery electrodes

The ability of lithium ion batteries (LIBs) to provide rapid charging characteristics while retaining a substantial energy storage capacity is of paramount significance for their applicability in portable smart electronic devices. In this research, an effective approach to enhance re-charging rates of LIB cells was developed through incorporating carbon nanotube (CNT) conductivity boosters strategically into Li4Ti5O12 (LTO) electrodes. A layer-by-layer spray coating was exploited to manufacture multi-layer architectures that comprise sequential, discrete electrode layers of CNT-rich LTO and CNT-free LTO, aiming at promoting charge transfer kinetics of high mass loading electrodes. Initially, the optimal proportion of a CNT-rich layer and its best location within multi-layer electrode structures were investigated in half-cell configurations. The best performing multi-layer was then paired with a spray-coated LiFePO4 (LFP) positive electrode in full-cell LIBs, offering attractive power performance of ∼ 1500 W/kg that outperformed conventional LTO || LFP combinations.

The creative sector and soft power: assessing the appeal of the Nigerian fashion industry

ABSTRACT While the literature is replete with the soft power potential of Nollywood and Afrobeats, no comprehensive analysis has been undertaken on the power of attraction of the Nigerian fashion industry. Given that the latter is one of the most critical industries in the Nigerian creative sector, an analysis of the soft power of the creatives is arguably incomplete without an account of the actual and potential soft power of the country’s fashion industry. This article examines the increasing global appeal of the Nigerian fashion industry and argues that the sector has enhanced Nigerian soft power most especially in the spheres of cultural and economic diplomacy.

Proton Intercalation/De-intercalation Chemistry in Phenazine-based Anode for Hydronium-ion Batteries.

Hydronium-ion batteries have received significant attention owing to the merits of extraordinary sustainability and excellent rate abilities. However, achieving high-performance hydronium-ion batteries remains a challenge due to the inferior properties of anode materials in strong acid electrolyte. Herein, a hydronium-ion battery is constructed which is based on a diquinoxalino [2,3-a:2',3'-c] phenazine (HATN) anode and a MnO2@graphite felt cathode in a hybrid acidic electrolyte. The fast kinetics of hydronium-ion insertion/extraction into HATN electrode endows the HATN//MnO2@GF battery with enhanced electrochemical performance. This battery exhibits an excellent rate performance (266 mAh g-1 at 0.5 A g-1, 97 mAh g-1 at 50 A g-1), attractive energy density (182.1 Wh kg-1) and power density (31.2 kW kg-1), along with long-term cycle stability. These results shed light on the development of advanced hydronium-ion batteries.

Proton Intercalation/De‐intercalation Chemistry in Phenazine‐based Anode for Hydronium‐ion Batteries

AbstractHydronium‐ion batteries have received significant attention owing to the merits of extraordinary sustainability and excellent rate abilities. However, achieving high‐performance hydronium‐ion batteries remains a challenge due to the inferior properties of anode materials in strong acid electrolyte. Herein, a hydronium‐ion battery is constructed which is based on a diquinoxalino [2,3‐a:2’,3’‐c] phenazine (HATN) anode and a MnO2@graphite felt cathode in a hybrid acidic electrolyte. The fast kinetics of hydronium‐ion insertion/extraction into HATN electrode endows the HATN//MnO2@GF battery with enhanced electrochemical performance. This battery exhibits an excellent rate performance (266 mAh g−1 at 0.5 A g−1, 97 mAh g−1 at 50 A g−1), attractive energy density (182.1 Wh kg−1) and power density (31.2 kW kg−1), along with long‐term cycle stability. These results shed light on the development of advanced hydronium‐ion batteries.