Miracle-dz/UniFAR-FTUs huggingface dataset:
Personalized Wearable Ankle Robot Using Modular Additive Manufacturing Design

Wearable assistive robots can potentially improve the gait of individuals with reduced mobility. To address each individual's unique needs, personalized robots are necessary. In addition, robots equipped with portable systems are required to ensure their practical use in clinical and outdoor settings. We developed and evaluated a modular robotic ankle-foot orthosis (AFO) with two degrees of freedom and a portable actuation system, providing ankle plantarflexion and in/eversion assistance. The performance was evaluated via benchtop testing and human subject experiments. The benchtop testing demonstrated that the device could deliver 40 Nm of plantarflexion torque and 16 Nm of in/eversion torque, with rise times of 70 ms during plantarflexion, 84 ms during inversion, and 77 ms during eversion. The torque control bandwidth was greater than 13 Hz in plantarflexion and in/eversion. When a human subject used the device for squat assistance, the device presented its ability to track the desired torque trajectory with a maximum mean RMS error of 2.9 ± 1.2 Nm for plantarflexion assistance and 0.7 ± 0.5 Nm for in/eversion assistance. This study shows the potential of the proposed modular AFO, fabricated solely via additive manufacturing and utilizing an off-board portable actuation system. The proposed device can personalize ankle exoskeletons and examine in/eversion assistance effects for individuals with reduced mobility.
Diversity, domain duplication, birth‐and‐death and adaptive evolution of fatty acyl‐CoA reductase genes in Hemiptera

Fatty acyl‐CoA reductases (FARs) play an important role in the synthesis of fatty alcohols in various organisms. Based on the important function of FAR genes, they can be used as a potential molecular target for controlling agricultural pests. Although the FAR genes have been studied in a number of insects, the gain, loss, and molecular evolution of FAR genes between different Hemipteran species still require comprehensive and systematic study. This study systematically identified and analysed 352 FAR genes from 12 Hemipteran species, including six typical true bug species, Cimex lectularius, Apolygus lucorum, Halyomorpha halys, Oncopeltus fasciatus, Rhodnius prolixus and Gerris buenoi. The number of FAR genes per species ranged from 17 to 43, and a phylogenetic analysis showed that the identified FAR genes of Hemiptera can be classified into 11 clades. The gain and loss of FAR genes have occurred in some Hemipteran species. These FAR genes conform to the birth‐and‐death model in the evolutionary process. Through selection pressure analysis, we determined that G. buenoi in clade 11 evolved under the pressure of positive selection, with the evolutionary sites of A at position 214 and T at position 451, thus clarifying the differences in amino acids among species and providing a better understanding of the molecular evolutionary mechanism of Hemipteran FAR. In addition, structural analysis of the FAR genes revealed duplication of the two conservative domains, the Rossmann‐fold domain and the sterile domain, of the FAR in four species, namely Bemisia tabaci, Diaphorina citri, R. prolixus and Trialeurodes vaporariorum. This study lays a foundation for further studies on the molecular functions of Hemiptera FAR, and provides a possible new target for the control of Hemiptera, especially the stink bugs.
Bovine Mastitis: Prevalence, Risk Factors and Isolation of Streptoccocus Species from Small Holders Dairy Farms in and Around Haramaya Town, Eastern Ethiopia

Mastitis is the most complex and costly disease of dairy cows occurring throughout the world including Ethiopia. Streptococcal mastitis is the commonest and economically important. However, mastitis caused by this species is not well investigated. A cross-sectional study was conducted from November 2016 to April 2017 to determinethe prevalence of mastitis, associated risk factor and also to isolate pathogenic streptococcus species from lactating dairy cows in and around Haramaya town, Eastern Ethiopia. A total of 384 milking cows and 1536 quarters were examined, out of which 189 and 677 were CMT positive at cow and quarter level respectively. The overall prevalence 49.2% (189/384) at cow level and 45.68% at quarter level were determined, respectively. Out this, 7.5%(29/384) were clinical mastitis and 41.7% (160/384) were subclinical and 6.8%clinical and 38.86% sub-clinical were found to be mastitis positive on CMT at cows and quarter level, respectively. Among total of 1536 quarters examined, 54 (3.5%) had blind teats. The age, lactation stage, parity and hygienic milking practice were found to have significant (p<0.05) influence on the occurrence of mastitis.
Improved Active Power Filter Performance for Renewable Power Generation Systems

An active power filter implemented with a fourleg voltage-source inverter using a predictive control scheme is presented. The use of a four-leg voltage-source inverter allows the compensation of current harmonic components, as well as unbalanced current generated by single-phase nonlinear loads. Now a day’s due to increase in the power demand, generation has to be increased. Due to which the fossil fuels are using out which creates the pollution too. Hence we are using the Renewable energy sources which neither creates pollution problems nor energy conservation problems. Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters. Among the Renewable energy resources most abundantly available throughout the earth is Sun radiation. In order to convert the solar radiation to Electrical energy we use PV Cell. Hence designed PV Cell is applied to the converter and given to the grid. Even many techniques proposed the Modeling and designing of the PV Cell and its interface to the grid, it suffers from many controlling problems due the Non linear characteristics of the Load. This paper presents a novel control strategy for achieving maximum benefits from these grid-interfacing inverters when installed in 3phase 4-wire distribution systems. The inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. The inverter can thus be utilized as: 1) power converter to inject power generated from RES to the grid, and 2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current. All of these functions may be accomplished either individually or simultaneously.
Patient’s Scar Satisfaction after Conventional Thyroidectomy for Differentiated Thyroid Cancer

Differentiated thyroid carcinoma (DTC) is the most frequent endocrine neoplasm. Its treatment is based on surgery with consequent impact on patients’ quality of life (QoL) and aesthetic implication. The aim of the present study is to assess scar satisfaction in patients affected by DTC who underwent total or partial thyroidectomy. A comparison was also made between scar satisfaction with different subcuticular suture. Validated questionnaires have been employed during a 3-month follow-up: Patient and Observer Scar Assessment Scale (POSAS) and the Patient Scar Assessment Questionnaire (PSAQ). Eventually, the impact of thyroid cancer on QoL of patients was performed in the studied population employing the Thyroid-related patient-reported outcome questionnaire (ThyPRO) and European Organisation for Research Additionally, Treatment of Cancer—Quality of Life questionnaire-C30 (EORTC QLQ-C30). It was conducted in a single center observational study considering 74 patients respecting inclusion criteria. Overall scar satisfaction was found to improve during follow-up, reaching the best scores at 3 months from surgery. Subcuticular suture does not seem to influence the scar satisfaction. In our study male patients seem to be more satisfied, on the other hand age does not seem to influence satisfaction. Overall, the ThyPRO questionnaire and EORTC QLQ-C30 scores did not statistically differ between preoperative and postoperative suggesting a small impact of DTC in QoL.
IoT Data Quality Assessment Framework Using Adaptive Weighted Estimation Fusion

Timely data quality assessment has been shown to be crucial for the development of IoT-based applications. Different IoT applications’ varying data quality requirements pose a challenge, as each application requires a unique data quality process. This creates scalability issues as the number of applications increases, and it also has financial implications, as it would require a separate data pipeline for each application. To address this challenge, this paper proposes a novel approach integrating fusion methods into end-to-end data quality assessment to cater to different applications within a single data pipeline. By using real-time and historical analytics, the study investigates the effects of each fusion method on the resulting data quality score and how this can be used to support different applications. The study results, based on two real-world datasets, indicate that Kalman fusion had a higher overall mean quality score than Adaptive weighted fusion and Naïve fusion. However, Kalman fusion also had a higher computational burden on the system. The proposed solution offers a flexible and efficient approach to addressing IoT applications’ diverse data quality needs within a single data pipeline.
18β-Glycyrrhetinic Acid Alleviates P. multocida-Induced Vascular Endothelial Inflammation by PARP1-Mediated NF-κB and HMGB1 Signalling Suppression in PIEC Cells

Background At present, the treatment and prevention of Pasteurella multocida infections in pigs mainly rely on antibiotics and vaccines, but inflammatory injury cannot be eliminated. The compound 18β-glycyrrhetinic acid (GA), a pentacyclic triterpenoid extracted from Glycyrrhiza glabra L. root (liquorice) and with a chemical structure similar to that of steroidal hormones, has become a research focus because of its anti-inflammatory, antiulcer, antimicrobial, antioxidant, immunomodulatory, hepatoprotective and neuroprotective effects, but its potential for the treatment of vascular endothelial inflammatory injury by P. multocida infections has not been evaluated. This study aimed to investigate the effects and mechanisms of GA intervention in the treatment of vascular endothelial inflammatory injury by P. multocida infections. Materials and Methods Putative targets of GA intervention in the treatment of vascular endothelial inflammatory injury by P. multocida infections were identified using network pharmacological screening and molecular docking simulation. The cell viability of PIEC cells was investigated via the CCK-8 assay. The mechanism of GA intervention in the treatment of vascular endothelial inflammatory injury by P. multocida infections were investigated using cell transfection and western blot. Results Through network pharmacological screening and molecular docking simulation, this study found that PARP1 may be a core target for GA to exert anti-inflammatory effects. Mechanistically, GA alleviates P. multocida-induced vascular endothelial inflammation by PARP1-mediated NF-κB and HMGB1 signalling suppression. Conclusion These findings, for the first time, demonstrate the potential therapeutic relationship among GA, PARP1 and inflammatory injury, providing a candidate drug, therapeutic targets and explanation for treating vascular endothelial inflammatory injury caused by P. multocida infection.
Cooperative Distributed Resource Allocation in Heterogeneous Networks With D2D Communication

With the explosive increase of intelligent applications and smart terminals, the high-speed transmission is the fundamental requirement for the future network. As a powerful deployment strategy, the heterogeneous network (HetNet) is of great significance for improving network throughput. This article investigates the resource allocation problem in the HetNet with device-to-device (D2D) communication, where sub-channel allocation and power allocation are jointly optimized to maximize the network throughput under the constraints of sub-channel allocation, transmitting power and throughput. The formulated optimization problem is a mixed-integer non-linear programming (MINLP) problem, which is difficult to be solved directly, due to the coupling of discrete sub-channel allocation variables and continuous power optimization variables. To deal with this issue, the time sharing factor (TSF) method is exploited to transform the original MINLP problem into a tractable continuous problem. Since the traditional centralized schemes necessarily aggravates computational burden on the central node and reduces network reliability, an integrated cooperative distributed resource allocation algorithm (CDRAA) is proposed in this article, where all the small base stations (SBSs) and macro base stations (MBSs) cooperatively participate in resource allocation instead of the unique manipulation by the central node. Simulation results demonstrate the performance gap and the running time comparison between the proposed algorithms and the centralized algorithm. In addition, the convergence of the proposed algorithms is verified in several different network settings. The network throughput achieved by the proposed CDRAA is higher than that obtained by the alternating optimization (AO) algorithm and the centralized algorithm based on the TSF method when a great number of sub-channels is provided.
Estimation and asymptotics for vector autoregressive models with unit roots and Markov switching trends

We provide a formal definition of an M-state multivariate Markov switching trend, describe its asymptotic distribution, and consider vector autoregressive processes with trends which contain either unit roots or a stationary part. Then, we estimate the coefficients of such models via ordinary least squares , and determine the asymptotic distributions of estimators in terms of functionals on a multivariate Brownian motion.
Effective temperatures of classical Cepheids from line-depth ratios in the H-band

The technique of line depth ratios (LDRs) is one of the methods to determine the effective temperature of a star. They are crucial in the spectroscopic studies of variable stars like Cepheids since no simultaneous photometry is usually available. A good number of LDR-temperature relations are already available in the optical domain; here we want to expand the number of relations available in the near-infrared (NIR) in order to fully exploit the capabilities of current and upcoming NIR spectrographs. We used 115 simultaneous spectroscopic observations in the optical and the NIR for six Cepheids and optical LDRs to find new pairs of lines sensitive to temperature and to calibrate LDR-temperature relations in the NIR spectral range. We have derived 87 temperature calibrations valid in the [4800–6500] K range of temperatures. The typical uncertainty for a given relation is 60–70 K, and combining many of them provides a final precision within 30–50 K. We found a discrepancy between temperatures derived from optical or NIR LDR for pulsations phases close to ϕ ≈0.0 and we discuss the possible causes for these differences. LDRs in the NIR will allow us to spectroscopically investigate highly reddened Cepheids in the Galactic centre or in the far side of the disc.
Nutritional Composition of Hass Avocado Pulp

Avocados (Persea americana) are a unique fruit that can provide health benefits when included in a healthy diet. As health care moves towards precision health and targeted therapies or preventative medicine, it is critical to understand foods and their dietary components. The nutritional composition and plant physiology of the Hass avocado is strikingly different from other fruits. This paper reviews the nutrient and bioactive composition of the edible portion of the Hass avocado (pulp) reported in the literature and from commercial lab analyses of the current market supply of fresh Hass avocados. These results provide comprehensive data on what nutrients and bioactives are in avocado and the quantity of these nutrients. We discuss the reasons for nutrient composition variations and review some potential health benefits of bioactive compounds found in Hass avocados.
Use of Serum Biomarkers to Aid Antidepressant Selection in Depressive Patients

Objective This study aimed to identify serum biomarkers prospectively associated with remission at 12 weeks in outpatients with depressive disorders receiving stepwise psychopharmacotherapy, according to the main antidepressant used during the treatment period. Methods This study included 1,024 depressive outpatients initially treated using antidepressant monotherapy, followed by alternating pharmacological strategies during the acute phase (3−12 weeks; 3-week interval). Fourteen serum biomarkers, sociodemographics, and clinical characteristics were evaluated at baseline. Based on the use frequency and mechanism of action, four main antidepressant types were distinguished escitalopram, other selective serotonin reuptake inhibitors (SSRIs), serotonin norepinephrine reuptake inhibitors (SNRIs), and mirtazapine. A Hamilton Depression Rating Scale score ≤ 7 was take to indicate remission. Results Lower high-sensitivity C-reactive protein levels were correlated with remission at 12 weeks for all antidepressant types. Lower interleukin (IL)-6 levels and tumor necrosis factor-alpha levels were associated with remission using escitalopram and other SSRIs respectively. Lower IL-1β and leptin levels, predicted remission in association with SSRIs including escitalopram. For SNRIs, remission at 12 weeks was predicted by lower IL-4 and IL-10 levels. For mirtazapine, remission at 12 weeks was associated with lower leptin levels, and higher serotonin and folate levels. Conclusion Baseline serum status, as estimated by nine serum markers, may help clinicians determine the most appropriate antidepressant to achieve remission in the acute phase of depression.
Observations of Snow–Slush–Snow Ice Transformation and Properties of Brash Ice in Ship Channels

The thickness and properties of brash ice are usually compared with the properties of the surrounding level ice. The differences between these ice types are important to understand since the consolidated brash ice layer is typically assumed to have the same properties as level ice. Therefore, significant effort in the measurement campaign during the winters of 2020–2021, 2021–2022, and 2023 was made to develop a better understanding of the full-scale brash ice channel development. The channels were located near the shore in the Bay of Bothnia, Luleå, Sweden. The main parameters investigated were the snow, slush, and total ice thicknesses, including ice formed from freezing water and from freezing slush as well as the ice microstructure and strength. To our knowledge, this is the first paper to report the influence of snow in brash ice channels. It was observed that a significant amount of snow covered the brash ice channels between the ship passages. After each ship passage, the snow was submerged and formed slush-filled voids, which thereafter transformed into snow ice (SI) clusters frozen together with columnar ice. The SI content in the brash ice and side ridges was estimated from image analyses. The analyses showed that the snow ice content was 73% in level ice in the vicinity of the ship channel, 58% in the side ridges of the channel, and 21% in the middle of the test channel, whereas in the main channel, the SI contents were 54%, 43%, and 41% in each location, respectively.
Seismic Vertical Component Effects on Seismic Demands of a Base Isolated Bridge with Friction- Rubber Bearings

The growth of urban population and industrial activities and their steadily increasing transportation requirements have led to a widespread construction and use of highway structures in and around major cities. Bridges play an essential role in transportation networks specify after earthquakes. Given the vital role of these structures in transportation systems, ensuring their safety and optimal seismic performance is of significant importance. Base isolation systems can protect the superstructure against earthquake damage by decoupling it from the substructure and thus from the seismic load. Such seismic load reduction scheme largely depends on proper function of isolation units. Thus, factors associated with the performance of isolators are of significant importance for the seismic performance of structure and have to be evaluated under different seismic excitation. Vertical components and strong pulse motion of ground motions are among the factors that may adversely affect the performance of a bridge isolation system, especially in near-fault areas. In particular, this component can undermine the performance of friction isolators operating alone or in combination with rubber bearings. In such isolators, variation in axial force between the two sliding pads may induce instability in the energy dissipation process and cause erratic isolation performance, and thereby affect the relative displacement and shear response of the device and structure. Figure 1 shows a friction-rubber hybrid bearing in a bridge with box girder deck.
On Novel summarization and Time line Generation for Evolutionary Tweet Streams

As increasing popularity of social sites likeTweeter, Facebook and Instagram etc. We will get lot of tweets and „N‟ no. of short messages being shared atunpredictable rate which is very high. As this data is largeenough it will become critical to understand and analyzetherefore redundancy and noisy data must be removed. To overcome these drawbacks of existing system we proposesumblr framework, in comparison with other regular approaches of summarization which depends on static data and small datasets where sumblr is dynamic and works on large data set. Firstly we have proposed tweet cluster vector algorithm for maintaining statistical data and compact cluster information to maintain dynamically in memory during stream processing, store and organize cluster snapshots of different moments. Generation of online and historical summaries with arbitrary time durations, we propose TCV rank summarization algorithm. We have proposed an evaluation method which generates timeline, categorization based on topic evaluation.
Non-negative matrix factorization pansharpening: an application to mid-infrared astronomy

Mid-infrared astronomy (operating at wavelengths ranging from 2 to 25 µm) has progressed significantly in the last decades, thanks to the improvement of detector techniques and the growing diameter of telescopes. Space observatories benefit from the absence of atmospheric absorption, allowing to reach the very high sensitivities needed to perform 3D hyperspectral observations, but telescopes are limited in diameter (< 1 meter) and therefore provide observations at low angular resolution (typically a few seconds of arc). On the other hand, ground- based facilities suffer from strong atmospheric absorption but use large telescopes (above 8m diameter) to perform sub-arcsecond angular resolution imaging through selected windows in the mid- infrared range. In this Paper, we present a method based on Lee and Seung's Non-negative Matrix Factorization (NMF) to merge data from space and ground based mid-infrared (mid- IR) telescopes in order to combine the best sensitivity, spectral coverage and angular resolution. We prove the efficiency of t his technique when applied to real mid-IR astronomical data. We suggest that this method can be applied to any combination of low and high spatial resolution positive hyperspectral datasets, as long as the spectral variety of the data allows decomposition into components using NMF.