Miracle-dz/UniFAR-FTUs huggingface dataset:
Nanoparticles as Alternatives for the Control of Haemonchus contortus: A Systematic Approach to Unveil New Anti-haemonchiasis Agents

Haemonchus contortus is an infectious gastrointestinal nematode parasite of small ruminants. This study addresses the in vitro/in vivo anti-haemonchiasis potential, toxicological effects, and mechanism of action of nanoparticles. Online databases were used to search and retrieve the published literature (2000 to 2021). A total of 18 articles were selected and reviewed, out of which, 13 (72.2%) studies reported in vitro, 9 (50.0%) in vivo, and 4 (22.2%) both in vitro/in vivo efficacy of different nanoparticles. Mostly, organic nanoparticles (77.7%) were used including polymeric (85.7%) and lipid nanoparticles (14.3%). The highest efficacy, in vitro, of 100% resulted from using encapsulated bromelain against eggs, larvae, and adult worm mortality at 4, 2, and 1 mg/ml, respectively. While in vivo, encapsulated Eucalyptus staigeriana oil reduced worm burden by 83.75% and encapsulated Cymbopogon citratus nano-emulsion by 83.1%. Encapsulated bromelain, encapsulated Eucalyptus staigeriana oil, and encapsulated Cymbopogon citratus nano-emulsion were safe and non-toxic in vivo. Encapsulated bromelain damaged the cuticle, caused paralysis, and death. Nanoparticles could be a potential source for developing novel anthelmintic drugs to overcome the emerging issue of anthelmintic resistance in H. contortus. Studies on molecular effects, toxicological consequences, and different pharmacological targets of nanoparticles are required in future research.
A METHODOLOGY FOR RATING AND RANKING HAZARDS IN MARITIME FORMAL SAFETY ASSESSMENT USING FUZZY LOGIC

Formal safety assessment of ships has attracted great attention over the last few years. This paper, following a brief review of the current status of marine safety assessment is focused on the hazards identification (HAZID) and prioritisation process. A multicriteria decision making framework, which is based on experts’ estimation, is then proposed for hazards evaluation. Additionally in this paper many aspects of the evaluation framework are presented including the synthesis of evaluation teams, the assessment of the importance of criteria, the evaluation of the consequences of the alternative hazards and the final ranking of the hazards. The proposed methodology has the innovative feature of embodying techniques of fuzzy logic theory into the classical multicriteria decision analysis. The paper concludes by exploring the potentiality of the above methodology in providing a robust and flexible evaluation framework suitable to the characteristics of a hazard evaluation problem.
Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus.

Many studies have quantified the distribution of heterozygosity and relatedness in natural populations, but few have examined the demographic processes driving these patterns. In this study, we take a novel approach by studying how population structure affects both pairwise identity and the distribution of heterozygosity in a natural population of the self-incompatible plant Antirrhinum majus. Excess variance in heterozygosity between individuals is due to identity disequilibrium (ID), which reflects the variance in inbreeding between individuals; it is measured by the statistic g2. We calculated g2 together with FST and pairwise relatedness (Fij) using 91 SNPs in 22,353 individuals collected over 11 years. We find that pairwise Fij declines rapidly over short spatial scales, and the excess variance in heterozygosity between individuals reflects significant variation in inbreeding. Additionally, we detect an excess of individuals with around half the average heterozygosity, indicating either selfing or matings between close relatives. We use two types of simulation to ask whether variation in heterozygosity is consistent with fine-scale spatial population structure. First, by simulating offspring using parents drawn from a range of spatial scales, we show that the known pollen dispersal kernel explains g2. Second, we simulate a 1000-generation pedigree using the known dispersal and spatial distribution and find that the resulting g2 is consistent with that observed from the field data. In contrast, a simulated population with uniform density underestimates g2, indicating that heterogeneous density promotes identity disequilibrium. Our study shows that heterogeneous density and leptokurtic dispersal can together explain the distribution of heterozygosity.
Dynamic Analysis and Control of Cable Driven Robots Considering Elasticity in Cables

In this paper modeling and control of cable-driven redundant parallel manipulators with flexible cables are studied in detail. In this class of robots cables should remain in tension in the whole workspace. Based on new results, in fully constraint cable robots, cables can be modeled as axial springs. With this assumption the system is modeled using Lagrange’s formulation. Then, control algorithm is proposed. Internal forces are introduced and incorporated in the proposed control algorithm. This algorithm is formed in cable length coordinates in which the internal forces play important role. Finally, the closed loop system is proved to be asymptotically stable, through Lyapunov analysis, and the performance of the proposed algorithm is studied through simulation.
A Hybrid Intelligent Excitation Control for Ship Power Station

Hybrid intelligent control technique is used for ship power station synchronous generator excitation control in this paper. The parameters and structure of the excitation controller are learned and adjusted through a hybrid learning algorithm combining self-organizing learning with BP learning. This algorithm converges much faster than original BP learning. Simulation results show that the synchronous generator excitation controller based on the learning algorithm can significantly stabilize terminal voltage.
Lateral high-voltage devices using an optimized variational lateral doping

A novel high-voltage generic power device structure based on an optimum variation in the lateral doping profile is proposed. The structure is implemented with a series of zones having piece-wise constant doping located in the field sustaining region of the device. The structure has been evaluated as an integrated component in a range of high-voltage devices, including MOST, JFET and BJT. The simulation results show the breakdown voltages achieved by the different structures can reach 85% of that, calculated for an equivalent parallel plane abrupt junction. The on-resistance of each device is very low while the switching speed is very high. Among these devices, the MOST shows the best improvement in performance. Since these lateral devices are compatible with modern sub-micrometre IC-technology, and are capable of self-isolation, they are very attractive for applications in HVIC and PIC processes.
Diagnosis of Diabetes Using Naïve Bayes Classifier Method

3 UPN “Veteran” Jawa Timur, 18081010051@student.upnjatim. ac.id * Correspondence: e-mail@e-mail.com; Tel. : (optional; include country code; if there are multiple corresponding authors, add author initials) Abstract: Not a few people suffer from diabetes, diabetes is usually caused by genetic inheritance from parents and grandparents. Not only from heredity but many criteria or characteristics can determine a person has diabetes. This research was conducted by looking for a dataset on Kaggle that contains criteria for someone diagnosed or undiagnosed with diabetes such as age, gender, weakness, polyuria, polydipsia, and others. Furthermore, from these criteria, predictions are calculated using the Naive Bayes classification method where this method is one of the data mining techniques. This prediction calculation uses the Python programming language. From these criteria, each criterion is grouped with similarities and the results of the program that have been made can diagnose someone with diabetes. The prediction calculations that have been carried out have resulted in 90% accuracy, 93% precision, 89% recall, 92% specificity, and 91% F1-Score.
A NONLINEAR MODEL FOR VASOCONSTRICTION

Abstract The control of blood pressure is a complex mixture of neural, hormonal and intrinsic interactions at the level of the heart, kidney and blood vessels. While experimental approaches to understanding these interactions remain useful, it remains difficult to conduct experiments to quantify these interactions as the number of parameters increases. Thus modelling approaches can offer considerable assistance. Typical mathematical models which describe the ability of the blood vessels to change their diameter (vasoconstriction) assume linearity of operation. However, due to the interaction of multiple vasocontrictive and vasodilative effectors, there is a significant nonlinear response to the influence of neural factors, particularly at higher levels of nerve activity (often seen in subjects with high blood pressure) which leads to low blood flow rates. This paper proposes a nonlinear mathematical model for the relationship between neural influences (sympathetic nerve activity (SNA) and blood flow, using a feedback path to model the predominently nonlinear effect of local vasoactive modulators such as Nitric Oxide, which oppose the action of SNA. The model, the structure of which is motivated by basic physiological principles, is parameterised using a numerical optimisation method using open-loop data collected from rabbits. The model responses are shown to be in good agreement with the experimental data.
Simulation performance of selected global and regional climate models for temperature and rainfall in some locations in India

Global and regional climate models are reported to have inherent bias in simulating the observed climatology of a region. This bias of climate models is the major source of uncertainties in climate change impact assessments. Therefore, use of bias corrected simulated climate data is important. In this study, the bias corrected climate data for 30 years’ period (1976-2005) from selected common four GCMs and RCMs for six Indian locations are compared with the respective observed data of India Meteorological Department. The analysis indicated that the RCMs performance is much better than GCMs after bias correction for minimum and maximum temperatures. Also, RCMs performance is better than GCMs in simulating extreme temperatures. However, the selected RCMs and GCMs are found to either over estimate or under estimate the rainfall despite bias correction and also overestimated the rainfall extremes for selected Indian locations. Based on the overall performance of four models for the six locations, it was found that the GFDL_ESM2M and NORESM1-M RCMs performed comparatively better than CSIRO and IPSL models. After bias correction, the RCMs could represent the observed climatology better than the GCMs. And these RCMs viz., GFDL_ESM2M and NORESM1-M can be used individually after bias correction in the climate change assessment studies for the selected regions.
A novel vertical comb-drive electrostatic actuator using a one layer process

This paper presents the design, fabrication and testing of a new residual stress gradient based vertical comb-drive actuator. Conventional vertical comb-drive actuators need two structural layers, i.e. one for the moving fingers and a second for the fixed fingers. A vertical comb-drive actuator based on a single structural layer micromachining process, using the residual stress gradient along the thickness of the nickel of the MetalMUMPs (Metal Multi-User MEMS process) fabrication process, is developed. The MetalMUMPs provides a 20 μm thick nickel film and is subject to residual stress gradients along its thickness. Two curve-up beams are devised to curve out of plane after release. The curve-up beams raise a plate with comb fingers above the substrate to form the moving fingers. The fixed comb fingers are connected to the substrate via anchors. When a voltage is applied across the moving and the fixed fingers, the moving fingers move down towards the fixed fingers. Experimental measurements on prototypes have verified the design principle. A vertical displacement of 4.81 µm at 150 V was measured.
Comparison of soliton and Gaussian system at a bit rate of 40 Gb/S

In recent days, optical communication has been playing a vital role in the communication sector because of its high speed transmission and larger efficiency. Especially in case of long haul communication, optical transmission of data is much more efficient than other means of communication systems. But, in long haul communication usage of amplifiers is making the whole system quite expensive. So, minimization of numbers of amplifiers with optimal transmission efficiency is one of the major research topics of current days. In this research paper, two types of optical pulses have been used to analyze performance in long haul communication in a virtual environment (Software). Here, it has been shown that, using Soliton pulse allows using less number of Optical Amplifiers rather than Gaussian Pulse for maintaining optimum optical transmission efficiency. Using both of the optical pulses, Quality Factor and Bit Error Rate (BER) has been compared and analyzed. This paper presents performance comparison of different data formats for variable amplifier spacing in 40 Gbps optical soliton transmission RZ soliton, RZ rect and RZ super Gaussian are the various data formats which are compared in this paper. Their performance comparison is based on the factors such as Quality factor, Bit error rate (BER), Timing Jitter, Eye opening and Eye closure. It has been studied that in all the data formats RZ soliton gives the highest value of Q factor and BER.
Journal of Humanities 2020 JHSSCA (Read-Only)

The study examined the economic analysis of yam processing into yam flour in Saki Agro ecological Zone of Oyo State. It specifically described the profitability of yam processing; examined the technical efficiency of yam processors and determined the effect of the socio-economic characteristics on technical efficiency. Data were collected with the aid of structured questionnaire and analyzed using descriptive statistics, profitability and budgetary analysis as well as stochastic frontier model and Garrett scale. The study reveals that majority of the respondents were female (88%) with a mean age of 47. The result shows that the rate of return on investment was 12 percent. The mean technical efficiency of the processors was 85% indicating that the yam processors were relatively efficient in allocating their limited resources. Some observable variables relating to socioeconomic characteristics such as processing experience and sex of the respondents significantly explains the variation in technical efficiency. Factors such as high cost of yam tubers, poor weather condition and inadequate processing facilities are the major factors that hinder the processing activities in the study area. The study therefore recommends that government policies should be made to improve the provision of inputs such as yam tubers and capital equipment at affordable price.
Shorter Women Are More Dissatisfied with Their Height: An Exploration of Height Dissatisfaction in Australian Women

Height dissatisfaction has recently been found to be an important contributor to body dissatisfaction in males, however, there is currently limited research examining this relationship in women. The present cross-sectional study aimed to examine the link between height and height dissatisfaction in Australian women, and the extent to which height and height dissatisfaction relate to body dissatisfaction and quality of life. Additionally, it explored the height preferences of oneself and romantic partners in Australian women. A final sample of 172 Australian women was recruited to complete an online survey relating to height preference, height dissatisfaction, muscularity, drive for thinness, and quality of life. Results showed that there was a significant difference between the reported actual height of participants and their ideal height. We also found that shorter women tended to be more dissatisfied with their height and were more likely to believe that they were treated poorly due to their height. Our study also identified that the vast majority (84%) preferred a romantic partner taller than them. Results were comparable to men aspiring to be taller than they were. Future studies should consider height dissatisfaction as a potential contributing factor to poor quality of life and negative affect.
Public Outreach in Pedestrian Plan for Durham, North Carolina

Roadway and bridge projects serve a broad population, most of which can readily accommodate changes in travel routes. Pedestrian projects, however, frequently have direct impact on specific populations that are highly sensitive to changes in the transportation network and the level of service to pedestrians. Therefore pedestrian plans must have both targeted and broad-sweeping public involvement programs. For many projects, the public involvement program is restricted by the total level of resources applied to the project. Durham, North Carolina, an extremely diverse city, undertook the preparation of a pedestrian plan. A combined 6.6% of Durham's workers take public transit or walk to work. The Durham pedestrian plan process was accompanied by an intensive public involvement and outreach program, which took a two-pronged approach. First, a stakeholder committee was established. Second, the public outreach effort created a series of opportunities for the general public to learn more about the plan and to provide comment. The Durham pedestrian plan does not support the oft-cited claim that insufficient project funding is an insurmountable obstacle to conducting a successful public involvement effort. Recommendations for improving public outreach programs include implementing a variety of techniques to incorporate diverse citizens, clearly stating public outreach objectives early and often, and devoting time and resources to assessing the effectiveness of public outreach efforts, both during and after the study.
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding

The aim of knowledge graph (KG) completion is to extend an incomplete KG with missing triples. Popular approaches based on graph embeddings typically work by first representing the KG in a vector space, and then applying a predefined scoring function to the resulting vectors to complete the KG. These approaches work well in transductive settings, where predicted triples involve only constants seen during training; however, they are not applicable in inductive settings, where the KG on which the model was trained is extended with new constants or merged with other KGs. The use of Graph Neural Networks (GNNs) has recently been proposed as a way to overcome these limitations; however, existing approaches do not fully exploit the capabilities of GNNs and still rely on heuristics and ad-hoc scoring functions. In this paper, we propose a novel approach, where the KG is fully encoded into a GNN in a transparent way, and where the predicted triples can be read out directly from the last layer of the GNN without the need for additional components or scoring functions. Our experiments show that our model outperforms state-of-the-art approaches on inductive KG completion benchmarks.
Flexing of scratch drive actuator plates: modelling and experimentation

The scratch drive actuator (SDA) is a key element in microelectromechanical-system (MEMS) technology. This type of actuator can be designed to travel over very long distances with precise step sizes. The MEMS designer requires models of the SDA to incorporate these devices into their microsystem applications. Models are developed for the SDA in its working state, building on previous work reported in the literature. A suspended SDA plate actuated by electrostatic forces has been analysed. A mathematical model has been established based on electrostatic coupled mechanical theory. Two SDA modes have been analysed namely the noncontact mode and the contact mode. The noncontact mode allows the designer to establish the threshold voltage after which the actuator plate snaps down. For the contact mode, the relationship between applied voltage and contact length is first obtained. Subsequently, the geometrical model of a bent plate is used to determine the relationship between contact distance and step size. These two results are then combined to obtain the value of actuator step size against applied voltage. A coupled-field electromechanical simulation of the microactuators has been performed using the commercially available software tool, IntelliSuite. On the experimental front, a Veeco NT1000 surface profiling tool has been used to measure the bending of the SDA plate. The results obtained from modelling, simulation and experimentation are compared.
Simulation of microwave optical links and proof of noise figure lower than electrical losses

The operation of a microwave photonic link is thoroughly investigated both theoretically and experimentally. To this aim, we have developed a simulation tool based on an accurate physical model embedded in a radio frequency (RF) chain simulator. The theoretical predictions are tested on an intensity modulation-direct detection (IMDD) link we have specifically developed to this purpose. Our simulation tool takes into account both optical and electrical characteristics of the link components including the laser dynamics and impedance matching networks. It thus enables an accurate understanding of the different physical and electrical phenomena governing the link's performances even under unusual operation conditions. Specifically, we were able to isolate an unusual behavior and to confirm it experimentally. It is thereby clear that the noise figure of a microwave optical link can be lower than the electrical losses, such as a mismatched output passive electrical network. This state is reached when the optical losses are high enough and when the link's output impedance is mismatched, too.
PID Parameter Optimization in Joint Control of Air Duct Cleaning Robot

To improve the joint control of the air-duct cleaning robot, an advanced control strategy of the brushless DC motor has been proposed to substitute the traditional PID control. The novel optimization algorithm based on the improved particle swarm optimization (PSO) is used to modify the normal incomplete derivative PID algorithm and globally optimize its parameters. Simulation results show that the proposed algorithm achieves a well control performance and can effectively satisfy the high accuracy and real-time requirement of the air-duct cleaning robot.
Research on Neutral-Point Balancing for Three-Level Space Voltage Vector Converter

A novel hybrid clamped dual-PWM three-level converter topology is proposed for induction motor drives in this paper. The switching states of hybrid clamp three-level converters increase to sixty-four from twenty-seven switching states of diode clamp three-level converters. In order to realize optimization of its redundant voltage space vectors by detecting voltage of clamp capacitor and difference of capacitor voltage in DC side, Generating an optimized switching pattern, The hybrid clamped three-level converter increases the voltage levels number, reducing the harmonics associated to the commutation frequency and limiting the dv/dt by all the switches . It can quickly balance the DC voltage, Realized system of 4-Quardant Running. the control circuit and main circuit was designed with DSP and CPLD, experimentation results proved it is very effective and practicability.
Theory of motional feedback

In motional feedback the mechanical vibrations of the loudspeaker cone are the source of the feedback voltage. Feedback then improves the over-all response characteristic and reduces the total distortion. The theory of this method is presented here in a simplified, though enlightening, way. The treatment is based on an unorthodox theorem on impedance conversion by feedback.