Miracle-dz/UniFAR-FTUs huggingface dataset:
The use of variable camber to reduce drag, weight and costs of transport aircraft

It was while lecturing at Cranfield in the late 1970s and early 80s on the aerodynamic design of aircraft wings that the ideas discussed in this paper began to develop. My work on wing tip sails had led me to look in some detail at the flight of birds and their ability to vary wing camber. I realised that this was an attractive way to overcome the need to compromise between the design requirements associated with the different regimes of flight necessary with fixed geometry. To be economically attractive, civil aircraft have to be capable of operating over a wide range of flight conditions. For example, an executive jet may be required to fly fast and low at light weight over a short stage length, such as London to Paris, on one day, and fly heavily loaded a much longer stage length the next, when it is desirable for the aircraft to fly high and at an economical speed.
An Analysis of the Cognitive Ability of Knowledge Mapping Homeschooling Based on the Rasch Model

Family cognition is a representation of the quality of family harmony, so family cognition score is an important exercise at the family level. The research based on the hybrid Rasch model is an important reference point. This study is based on the mixed Rasch model in item response theory. Firstly, descriptive statistical analysis is carried out on the family level, which is sorted according to the total score and specific proportion, and the difficulties and differences of family members in multiple choice questions at different levels are compared. Then, the number of potential categories estimated using the hybrid rush model is discussed in two cases. In one case, the number of categories is known and the categories are more detailed, so as to facilitate comparison and promote the harmony of family members.
Fabrications of electrochemical sensors based on carbon paste electrode for vitamin detection in real samples

This review article examines some advancements in electrochemical sensors for vitamin detection in the past few decades. Vitamins are micronutrients found in natural foods essential for maintaining good health. Most vitamins cannot be synthesized by a body and must be obtained externally from natural food. Vitamins make a class of organic chemicals that shortage can cause various ailments and diseases, and consumption can become harmful if it exceeds the usually needed level. Because of these factors, vitamin detection has become highly significant and sparked interest over the past few decades. The electrochemical sensors function on the concept of electro­chemical activity of practically all vitamins. This implies that concentrations of vitamins in the electrolyte may be detected by measuring the amounts of current generated at certain potentials by their oxidation and reduction at the working electrode surface. Voltammetric methods are superior to other methods because they are cheaper and show sharp sensitivity with faster analysis speed. The carbon-based electrodes, in particular carbon paste electrodes (CPE), have significant advantages like easier catalyst incorpo­ration, surface renewability, and expanded potential windows with lower ohmic resistance. This review goes into detail about several electro­chemical sensors involving CPE as the working electrode and its utilization to detect water- and fat-soluble vitamins.
Advanced hybrid plasmonic nano-emitters using smart photopolymer

: The integration of nano-emitters into plasmonic devices with spatial control and 11 nanometer precision has become a great challenge. In this paper, we report on the use of a smart 12 polymer for selectively immobilizing nano-emitters on specific preselected sites of gold 13 nanocubes (GNC). The cunning use of the polymer is twofold. First, it records both the selected 14 site and the future emitters-GNC distance through plasmon-assisted photopolymerization.
Mediating Role of Service Quality between Sensory Marketing and Customer Loyalty in Restaurant Industry: A Case of Pakistan

Consumers are considered “King” who is served by businesses. To keep “King” happy and satisfied, businesses use different marketing strategies to position their products and services. For this sensory marketing has become a significant strategy for businesses specially hotels and restaurant industry. The purpose of this study is to see the impact of sensory marketing on customer loyalty through mediating role of service quality. For this a structured questionnaire was distributed among the customers of restaurant industry. Total 450 questionnaires were distributed and 362 were received in return. Partial least square method and path coefficients were used to test the relationship among the variables and significance was tested by applying bootstrapping. It was found that service quality partially mediates between sensory marketing and customer loyalty. Direct and indirect relations were calculated to find the significance and insignificance of relationships among variables.
Hemodynamic phenotype-based, capillary refill time-targeted resuscitation in early septic shock: The ANDROMEDA-SHOCK-2 Randomized Clinical Trial study protocol

Background: Early reversion of sepsis-induced tissue hypoperfusion is essential for survival in septic shock. However, consensus regarding the best initial resuscitation strategy is lacking given that interventions designed for the entire population with septic shock might produce unnecessary fluid administration. This article reports the rationale, study design and analysis plan of the ANDROMEDA-2 study, which aims to determine whether a peripheral perfusion-guided strategy consisting of capillary refill time-targeted resuscitation based on clinical and hemodynamic phenotypes is associated with a decrease in a composite outcome of mortality, time to organ support cessation, and hospital length of stay compared to standard care in patients with early (< 4 hours of diagnosis) septic shock. Methods: The ANDROMEDA-2 study is a multicenter, multinational randomized controlled trial. In the intervention group, capillary refill time will be measured hourly for 6 hours. If abnormal, patients will enter an algorithm starting with pulse pressure assessment. Patients with pulse pressure less than 40mmHg will be tested for fluid responsiveness and receive fluids accordingly. In patients with pulse pressure > 40mmHg, norepinephrine will be titrated to maintain diastolic arterial pressure > 50mmHg. Patients who fail to normalize capillary refill time after the previous steps will be subjected to critical care echocardiography for cardiac dysfunction evaluation and subsequent management. Finally, vasopressor and inodilator tests will be performed to further optimize perfusion. A sample size of 1,500 patients will provide 88% power to demonstrate superiority of the capillary refill time-targeted strategy. Conclusions: If hemodynamic phenotype-based, capillary refill time-targeted resuscitation demonstrates to be a superior strategy, care processes in septic shock resuscitation can be optimized with bedside tools.
Design and Comparative Study of a Small-Stroke Energy Harvesting Floor Based on a Multi-Layer Piezoelectric Beam Structure

Recently, research on the energy harvesting floor is attracting more and more attention due to its possible application in the smart house, invasion monitoring, internet of things, etc. This paper introduced a design and comparative study of a small-stroke piezoelectric energy harvesting floor based on a multi-layer piezoelectric beam structure. The multi-layer piezoelectric beams are designed based on simply supported beams in an interdigitated manner. Theoretical analysis is explored to find out the beam number and layer number of the structure. Through this design, the input power from the human footsteps was effectively utilized and transformed into electrical power. The designed piezoelectric energy harvesting floor structure was tested by our designed stepping machine, which can simulate the stepping effect of a walking human on the floor with different parameters such as stepping frequency. Comparative studies of the energy harvester are carried out regarding different stepping frequencies, external circuits, and initial beam shapes. The experimental results showed that the maximum output power of a group of four-layer prototypes was 960.9 µW at a stroke of 4 mm and a step frequency of 0.83 Hz, with the beams connected in parallel.
Organizational Architecture and Service Delivery Re-Alignment based on ITIL and TOGAF: Case Study of the Provincial Development Bank

—The operations function area is the core function areas of the development bank to serve its customer related to the financial needs. Interestingly, the total scope of services provided in this case can be categorized as small or not optimal compared to the total population of its coverage area in the West Java and Banten. The lack of customer confidence in the services offered can be said as one of the reason cause by the unpreparedness of organization to adopt business agility and technological innovation as their alignment framework. Thus, as the beginning, IT planning in the function area can be utilized as the solution to be implemented to increase the service delivery performance through strengthening the organizational architecture. To support this, Enterprise Architecture (EA) should align business and IT with mapping ITIL best practice as a foundation and practical direction to bring the company operational services to have sustainability in growth, profit and satisfaction. This study delivers the roadmap design using the TOGAF framework to identify the current state of the company and the desired IT architecture with business strategies in the area of operations functions.
Fostering an Entrepreneurial Mindset through a Sophomore-Level, Multi-Disciplinary, Engineering Design Studio Experience

First year, project-based, engineering design courses have become common within engineering curricula across the country. In our first year course, we intentionally lay the foundation for the development of an entrepreneurial mindset within the context of traditional project-based design experiences. In addition, engineering programs have traditionally incorporated a capstone design project during the senior year and this provides another opportunity for our students to demonstrate an enterprising attitude. However, there exists a gap in design opportunities as well as in opportunities to continue the development of an entrepreneurial mindset for many students between the freshman and senior year of their engineering education. To address this need, we have designed a sophomore level course that will foster an entrepreneurial mindset in our students through a team-based, multidisciplinary engineering design studio experience. In this course, students will build upon the lessons learned in the first-year course by engaging real customers to identify and define opportunities themselves based on a theme. They will then use a systematic design process to design, build, and test prototypes that address these opportunities and create value for their customers. The purpose of this paper is to present the process to design this new course and to describe the course curriculum. For example, while studio courses are commonplace in architecture programs, they are not traditionally found in engineering curricula. Thus, best practices had to be found through identification of existing programs and benchmarking activities. Benchmarking of curriculum, studio pedagogy, and facilities were all important aspects of the development of this course. After benchmarking and reviewing the literature, we created the learning objectives and outlined a syllabus and course schedule for the design studio. Additional ongoing development activities have included garnering support from faculty and administration to incorporate the course into the core curriculum as well as assembling an external advisory board of industrial and entrepreneurial professionals to mentor students during their time in the design studio. Future papers will document implementation and assessment of the course.
Design, modeling, and control of a two degree of freedom pendulum on an omnidirectional robot

In this thesis a dynamical model for a two degree of freedom inverted pendulum on an omnidirectional cart is developed. This system is actuated not only by the wheels on the cart but also by a quadrotor system used to stabilize the inverted pendulum. The dynamic model is designed to be modular allowing for the substitution of different actuators, electrics, and control algorithms without the need to re-derive the model. The parameters of this system are identified with procedures and background where necessary. This thesis presents two controller methods: PID and LQG controllers. The PID controllers were designed using both hand tuning and model based tuning. The LQG controllers were designed using a systematic procedure to initially choose good weights and adjust the weights based off of systems performance in order to get the most out of the system. All sets of controllers are presented along with a comparison of their behavior and plots comparing the real system to that of the non-linear simulation. The results of this design are discussed along with issues that shaped the design decisions, future work and systems improvements are discussed.
Lactoferrin modification of berberine nanoliposomes enhances the neuroprotective effects in a mouse model of Alzheimer’s disease

[INLINE:1] Previous studies have shown that berberine has neuroprotective effects against Alzheimer’s disease, including antagonizing tau phosphorylation, and inhibiting acetylcholinesterase activity and neural cell apoptosis. However, its low bioavailability and adverse reactions with conventional administration limit its clinical application. In this study, we prepared berberine nanoliposomes using liposomes characterized by low toxicity, high entrapment efficiency, and biodegradability, and modified them with lactoferrin. Lactoferrin-modified berberine nanoliposomes had uniform particle size and high entrapment efficiency. We used the lactoferrin-modified berberine nanoliposomes to treat a mouse model of Alzheimer’s disease established by injection of amyloid-beta 1–42 into the lateral ventricle. Lactoferrin-modified berberine nanoliposomes inhibited acetylcholinesterase activity and apoptosis in the hippocampus, reduced tau over-phosphorylation in the cerebral cortex, and improved mouse behavior. These findings suggest that modification with lactoferrin can enhance the neuroprotective effects of berberine nanoliposomes in Alzheimer’s disease.
When Cache Meets Vehicular Edge Computing: Architecture, Key Issues, and Challenges

Task-oriented caching in vehicular edge computing (VEC) has become a hot topic recently, which brings in many opportunities for capability limited vehicles and makes VEC task offloading and service provision more cost-effective. Most works on caching assisted task offloading in VEC focused mainly on the reuse of computation results and neglected the characteristics pertaining to VEC. In effect, task-oriented caching in VEC is time-sensitive, requiring multiple-choice and multi-granularity. We need to address the issues on different computing and storage capabilities between vehicles and edge server with their diverse applications. Therefore, caching enabled task offloading in VEC aims for exploitation and enhancement of the functions in edge computing. To investigate in depth the benefits of caching enabled task offloading in VEC, we first provide an architectural overview on caching enabled vehicular edge computing (CVEC). Then, we strive to address the most concerned issues, that is, where, what, how and when to cache the tasks in CVEC. Specifically, three caching strategies are introduced to address what to cache in CVEC. In addition, caching strategies are evaluated with respect to response latency and energy consumption at edge servers. Simulation results reveal that caching enabled task offloading in CVEC can remarkably improve the performance of VEC. We also take a look at the opportunities and discuss the challenges in CVEC to shed light on future research directions on CVEC.
Self-Attention Multilayer Feature Fusion Based on Long Connection

Feature fusion is an important part of building high-precision convolutional neural networks. In the field of image classification, though widely used in processing multiscale features of the same layer and short connections in the same receptive field, feature fusion is rarely used in long connection operations across receptive fields. In order to fuse the high- and low-level features of image classification, a feature fusion module SCFF (selective cross-layer feature fusion) for long connections is designed in this work. The SCFF can connect the long-distance feature maps in different receptive fields in a top-down order and apply the self-attention mechanism to fuse them two by two. The final fusion result is used as the input of the classifier. In order to verify the effectiveness of the model, the image classification experiment was done on a number of typical datasets. The experimental results prove that the model can fit the existing convolutional neural network well and effectively improve the classification accuracy of the convolutional network only at the cost of a small amount of calculation.
Hybrid bioadsorbents for heavy metal decontamination from wastewater: A review

Wastewater containing heavy metals (HMs) beyond permissible limit has to be decontaminated by an appropriate treatment method. Numerous conventional methods have been applied for heavy metal decontamination including chemical precipitation, ion exchange, electrolysis and membrane applications, etc. Most conventional methods are less efficient for the decontamination of metals due to the resistance and persistence of HMs in wastewater. Even so, the conventional methods have their limitations; adsorption using low-cost hybrid bioadsorbents has been explored as an environmentally friendly method for the removal of metal ions from wastewater. This review has been summarized the sources and effects of different heavy metals in the water/wastewater. The possible treatment methods also highlighted their advantages and limitations. Factors affecting the biosorption process such as bioadsorbent dosage, solution pH, contact time, initial concentration, temperature, and ionic potentials attracting to metal ions have been evaluated by the published researches. Moreover, the possible mechanisms of metal biosorption were discussed in light of previous studies. According to this review, hybrid bioadsorbents are outstanding materials due to their exciting physicochemical properties and other characteristics including eco-friendly nature, low cost, nontoxic, high adsorption capacity, and reusability. This review could be considered as a precious pathway for exploring more low-cost, environmentally friendly hybrid adsorbents for metal decontamination from wastewater, eventually, the review will contribute to environmental remediation and purification applications of biomaterials. Graphical Abstract
Laser surgical devices with optical solution for damping physiological tremor

The paper presents an optical method of damping vibration present in manually operated laser surgical devices. Considering the frequency range of the physiological tremor of 5-15Hz, the design of two compliant positioning mechanisms on 2 axes was made, which will have the role of supporting and moving the focusing lens of the laser device. A couple of compliant structures were subjected to static and dynamic finite element analyzes (modal analysis) to determine the displacement-force characteristic and resonant frequencies, eliminating the risk of operating in the frequency band of physiological tremor. Finally, the structures were teste in laboratory for final experimental results.
NUTRIENT CONTENTS IN ‘TOMMY ATKINS’ MANGO LEAVES AT FLOWERING AND FRUITING STAGES

The objective of this study was to evaluate the nutrient contents in ‘Tommy Atkins’ mango leaves at the flowering and fruiting stages under different strategies to reduce irrigation levels during flower induction. Five irrigation level reduction strategies, based on crop evapotranspiration (ETc) were used in the plots: T1 (0% ETc), T2 (25% ETc), T3 (50% ETc), T4 (75% ETc) and T5 (100% ETc); two production cycles in the split-plots; and in two development stages, flowering and harvest, in the split-split plots. The content of N, P, K, Ca, Mg, and S, as well as B, Cu, Fe, Mn, Zn, and Na was determined and leaf chlorophyll index was measured during the second cycle. The content of P, K, Mg, and Cu in the ‘Tommy Atkins’ mango trees leaves varied according to phases and cycles, regardless of the strategies to reduce irrigation levels in floral induction. The contents of N, Ca, B, Fe, Mn, and Na varied with stages and with the production cycles, in an independent manner. Foliar N contents were above the sufficiency range at the different development stages and cycles evaluated. The indices of a, b, and total chlorophyll varied independent of reading time. The nutrient contents with lower mobility in the plant, Ca, B, Fe and Mn increase in ‘Tommy Atkins’ mango trees leaves from flowering to fruiting, with the return of irrigation at 100% crop evapotranspiration, while the levels of N, P, K and Mg, nutrients with high mobility in plant decrease.
Mate Sampling Behavior Determines the Density Dependence of Sexual Selection

Theory predicts that the strength of sexual selection (i.e., how well a trait predicts mating or fertilization success) should increase with population density, yet empirical support remains mixed. We explore how this discrepancy might reflect a disconnect between current theory and our understanding of the strategies individuals use to choose mates. We demonstrate that the density dependence of sexual selection predicted by previous theory arises from the assumption that individuals automatically sample more potential mates at higher densities. We provide an updated theoretical framework for the density dependence of sexual selection by (1) developing models that clarify the mechanisms through which density-dependent mate sampling strategies might be favored by selection and (2) using simulations to determine how sexual selection changes with population density when individuals use those strategies. We find that sexual selection may increase strongly with density if sampling strategies change adaptively in response to density-dependent sampling costs, whereas within-individual plasticity in sampling over time (e.g., due to adaptation to increasing sampling costs as the breeding season progresses) produces weaker density-dependent sexual selection. Our findings suggest that density dependence of sexual selection depends on the ecological context in which mate sampling has evolved.