Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on the Rehabilitation Exoskeletons for the Lower Limbs of the Elderly and the Disabled

Research on the lower limb exoskeleton for rehabilitation have developed rapidly to meet the need of the aging population. The rehabilitation exoskeleton system is a wearable man–machine integrated mechanical device. In recent years, the vigorous development of exoskeletal technology has brought new ideas to the rehabilitation and medical treatment of patients with motion dysfunction, which is expected to help such people complete their daily physiological activities or even reshape their motion function. The rehabilitation exoskeletons conduct assistance based on detecting intention, control algorithm, and high-performance actuators. In this paper, we review rehabilitation exoskeletons from the aspects of the overall design, driving unit, intention perception, compliant control, and efficiency validation. We discussed the complexity and coupling of the man–machine integration system, and we hope to provide a guideline when designing a rehabilitation exoskeleton system for the lower limbs of elderly and disabled patients.
Frequency and Clinical Features of Candida Bloodstream Infection Originating in the Urinary Tract

The urinary tract is considered an uncommon source of Candida bloodstream infection (CBSI). We aimed to determine the source of CBSI in hospitalized patients, and to compare clinical and microbiological features of CBSI originating in the urinary tract (U-CBSI) and non-urinary CBSI (NU-CBSI). Of 134 patients with CBSI, 28 (20.8%) met criteria for U-CBSI, 34 (25.3%) had vascular catheter-related CBSI and 21 (15.6%) had a gastrointestinal origin. Compared to NU-CBSI patients, patients with U-CBSI were older with higher rates of dementia. Bladder catheterization for urinary retention and insertion of ureteral stents or nephrostomies were risk factors for U-CBSI. Fifty percent of U-CBSI cases occurred within 48 h of hospital admission, versus 16.9% of NU-CBSI (p < 0.0001). The mortality rate was lowest for CBSI originating in the urinary tract and highest for CBSI of undetermined origin. CBSI of undetermined origin remained associated with higher mortality in a Cox regression model that included age, Candida species, Pitt bacteremia score and neutropenia as explanatory variables. U-CBSI may be increasing in frequency, reflecting extensive use of bladder catheters and urologic procedures in elderly debilitated patients. Distinct clinical features are relevant to the diagnosis, treatment and prevention of U-CBSI.
Diversity of ENSO‐Related Surface Temperature Response in Future Projection in CMIP6 Climate Models: Climate Change Scenario Versus ENSO Intensity

Few studies explore how the diversity of El Niño and Southern Oscillation (ENSO)‐related atmospheric response is influenced by anthropogenic forcing and ENSO intensity. We examine the diversity of surface temperature (Ts) anomalies related to weak, moderate and strong ENSO events in North America (NA) for present and future climates forced under four Shared Socioeconomic Pathways (SSP) scenarios in CMIP6 climate models. When ENSO intensity is weaker, the NA Ts anomalies are more sensitive/variable to different SSP scenarios than moderate and strong ENSO. The NA Ts anomalies are more sensitive to the impacts of ENSO intensity under a sustainable climate change scenario, compared to the high SSP scenario. We discuss why the diversity of ENSO‐related Ts response projections differs in the combination of ENSO intensity and climate change scenarios.
Cyclophilin A Is Not Acetylated at Lysine-82 and Lysine-125 in Resting and Stimulated Platelets

Cyclophilin A (CyPA) is widely expressed by all prokaryotic and eukaryotic cells. Upon activation, CyPA can be released into the extracellular space to engage in a variety of functions, such as interaction with the CD147 receptor, that contribute to the pathogenesis of cardiovascular diseases. CyPA was recently found to undergo acetylation at K82 and K125, two lysine residues conserved in most species, and these modifications are required for secretion of CyPA in response to cell activation in vascular smooth muscle cells. Herein we addressed whether acetylation at these sites is also required for the release of CyPA from platelets based on the potential for local delivery of CyPA that may exacerbate cardiovascular disease events. Western blot analyses confirmed the presence of CyPA in human and mouse platelets. Thrombin stimulation resulted in CyPA release from platelets; however, no acetylation was observed—neither in cell lysates nor in supernatants of both untreated and activated platelets, nor after immunoprecipitation of CyPA from platelets. Shotgun proteomics detected two CyPA peptide precursors in the recombinant protein, acetylated at K28, but again, no acetylation was found in CyPA derived from resting or stimulated platelets. Our findings suggest that acetylation of CyPA is not a major protein modification in platelets and that CyPA acetylation is not required for its secretion from platelets.
Study on 3D data connection of large part in 3D noncontact measurement

The method that it measures from different angles and connects together is commonly adopted in large part's 3D noncontact measurement, which has the problems of great accumulated error and low precision. This paper produces a method which connects part'3D scanning cloud data to a frame. In this method, marked points'3D coordinates are calculated, which form the frame. Then the feature points between the patr'3D scanning cloud data and the frame are identified and matched. And the rotation matrix R and the translation vector T are found through the singular value decomposition (SVD) algorithm. Thus, the connection solution is achieved. A real example indicates that the method improves the precision of the large part's 3D measurement.
Entanglement, irritation and routinisation: the embodied pedagogy of digital activity tracking

ABSTRACT The paper explores activity tracking as a postdigital phenomenon and provides a detailed account of the embodied pedagogy of its practices. Drawing on a case-based, ethnographically inspired, participatory research project with German university students and following a praxeologic approach of transformative Bildung, an empirically grounded heuristic framework is presented that helps to understand how embodied entanglements of person and wearable develop over time and how dynamics of irritation and routinisation that characterise these developments open up processes of learning or Bildung. We discuss how this contributes to researching vital pedagogical questions about self-tracking, and more broadly about yet uncertain futures of postdigital physical culture and society, such as how we constitute ourselves as embodied subjects and continuously develop relations to ourselves and to the world through entangling with digital technology.
The Need for and Feasibility of Alternative Ground Robots to Traverse Sandy and Rocky Extraterrestrial Terrain

Robotic spacecrafts have helped expand the reach for many planetary exploration missions. Most ground mobile planetary exploration robots use wheeled or modified wheeled platforms. Although extraordinarily successful at completing intended mission goals, because of the limitations of wheeled locomotion, they have been largely limited to benign, solid terrain and avoided extreme terrain with loose soil/sand and large rocks. Unfortunately, such challenging terrain is often scientifically interesting for planetary geology. Although many animals traverse such terrain at ease, robots have not matched their performance and robustness. This is in major part due to a lack of fundamental understanding of how effective locomotion can be generated from controlled interaction with complex terrain on the same level of flight aerodynamics and underwater vehicle hydrodynamics. Early fundamental understanding of legged and limbless locomotor–ground interaction has already enabled stable and efficient bioinspired robot locomotion on relatively flat ground with small obstacles. Recent progress in the new field of terradynamics of locomotor–terrain interaction begins to reveal the principles of bioinspired locomotion on loose soil/sand and over large obstacles. Multilegged and limbless platforms using terradynamics insights hold the promise for serving as robust alternative platforms for traversing extreme extraterrestrial terrain and expanding the reach in planetary exploration.
Standards‐based modeling and deployment of serverless function orchestrations using BPMN and TOSCA

Function‐as‐a‐Service (FaaS) is a cloud service model enabling to implement serverless applications for a variety of use cases. These range from scheduled calls of single functions to complex function orchestrations executed using orchestration services such as AWS step functions. However, since the available function orchestration technologies vary in functionalities, supported modeling languages, and APIs, modeling such function orchestrations and their deployment require significant technology‐specific expertise. Moreover, the resulting models are typically not portable due to provider‐ and technology‐specific details, and major efforts are required when exchanging an orchestrator or provider due to such lock‐ins. To tackle this issue, we introduce a vendor‐ and technology‐agnostic method for the modeling and deployment of serverless function orchestrations, which relies on the business process model and notation (BPMN) and topology and orchestration specification for cloud applications (TOSCA) standards for modeling function orchestrations and their deployment, respectively. We also present a toolchain for modeling serverless function orchestrations in BPMN, generating proprietary models supported by different function orchestration technologies from BPMN models, specifying their actual deployment in TOSCA, and then enacting such deployment. Finally, we illustrate a case study applying our method and toolchain in practice.
Did Caenorhabditis nematodes recycle transposons to fight pathogens?

Animal genomes consist largely of sequences derived from transposons which were previously considered as junk DNA and active transposons can even be deleterious for organismal fitness. Nevertheless, the huge pool of transposon-derived sequences also forms the raw material for molecular innovations. Here, we follow up on the incidental finding of a transposon-derived DNA binding domain in a subset of F-box genes in Caenorhabditis elegans. Based on phylogenetic analysis, we show that a single gene fusion followed by individual losses explains most members of this novel gene family. Phylogenomic data of available Caenorhabditis genomes allowed us to trace this fusion event to the ancestor of the Elegans group. Additional homology searches suggest endogenous Mariner transposons as the likely source of the coopted sequence. Further bioinformatic characterization of different F-box families by Gene Ontology analysis, gene module comparisons, and literature research identified first evidence that some F-box genes might be involved in innate immunity, as it had been proposed previously based on adaptive signatures of molecular evolution. Specifically, the F-box gene fbxa-158 contains one of the transposon-derived domains and was shown to interact with the components of the intracellular pathogen response machinery targeting Microsporidia and viruses. Thus, cooption of transposon-derived sequences likely contributed to the adaptive evolution of the F-box superfamily in Caenorhabditis nematodes. Significance statement When considering transposons as genomic junk or selfish elements that are detrimental for organismal fitness, we often neglect the potential of transposon-derived sequences as a source of molecular innovation. Here, we characterize a case where a transposon-derived sequence has been coopted by one of the largest and fastest evolving gene superfamilies in Caenorhabditis nematodes which include the model organism C. elegans. The resulting chimeric gene family has been stably maintained for about 20 million years and bioinformatic analysis reveals first evidence for potential functions in innate immunity. Thus, strong evolutionary pressure might have forced Caenorhabditis nematodes to recycle transposons in order to fight pathogens.
The Effect of Legal Status on Prison Misconduct

The present study examines the relationship between legal status and prisoner misconduct by comparing official disciplinary infraction reports between documented, undocumented, and native-born inmates. We also examine the extent to which such effects vary across different types (i.e., criminal and non-criminal) of reported infractions. Using data from the Florida Department of Corrections, the results reveal that undocumented foreigners have a higher likelihood and a higher frequency of any misconduct and criminal misconduct as well as a higher frequency of non-criminal misconduct than the other two groups, while no such differences are found between documented and native-born prisoners. Our research underscores the salient role of legal status in predicting the in-prison behaviors of foreign-born inmates.
Willis Covered Stent for Treating Intracranial Pseudoaneurysms of the Internal Carotid Artery: A Multi-Institutional Study

Objective This work aimed to retrospectively analyze Willis covered stent (WCS)’s therapeutic efficacy in intracranial pseudoaneurysms (PSAs) of the internal carotid artery (ICA). Methods Between June 2018 and July 2021, 56 individuals with intracranial PSAs of the ICA treated with WCS in three centers were included to analyze information regarding medical records, operative parameters, imaging findings and follow-up data. Results All WCSs were successfully targeted to the ICA lesions. Total exclusion of PSA was found in 53 cases (94.6%) right upon surgery, and mild endoleak into the aneurysm remained in 3 cases (5.4%). Intraoperative thrombosis occurred in 1 case (1.8%), and tirofiban was utilized for recanalization. Follow-up by angiography showed total aneurysm occlusion in the total number of individuals, including in the 3 above cases with residual endoleak. In-stent stenosis occurred in 7 (12.5%) patients. No stent-related ischemic event was encountered. Predictive factors of late in-stent stenosis following WCS implantation in this patient group were irregular post-operative antiplatelet treatment (p = 0.015) and C4-C5 segment of the ICA (p = 0.043). Conclusion WCSs are effective in treating intracranial PSAs of the ICA.
Management of inventory for firms’ efficiency – a study on steel manufacturing industry

PurposeThe purchase is becoming a more difficult cum tactical decision that affects the cost factor, quality factor, time factor and responsive factor of the buy and maintains them. The purpose of this study is to investigate the effect of inventory management (IM) practices on operational efficiencies (OEs) in Indian steel manufacturing firms.Design/methodology/approachThe study is based on a quantitative research design that has collected information from 321 key officials of Indian steel manufacturing firms. The analyses are carried out with the use of statistical techniques such as confirmatory factor analysis and structural equation modeling (SEM). FindingsThe paper finds that inventory management (IE) has a considerable impact on the OE of steel manufacturing firms in India. The manufacturing industry must highlight the significance of inventory management practice (IMP) for enhancing firm efficiencies in a volatile environment with the help of management teams. Understanding the impact of IE practices on firms’ OE would be helpful for company shareholders and investors.Practical implicationsThe paper suggests the manufacturing industry to emphasize the role of inventory management practices to have better productivity of the firm. This research focuses on the relationship between IMP and OE.Social implicationsEffective and efficient use of inventory will be helpful in reducing the overall cost of production and reduced costs to customers.Originality/valueCompanies require resources to attain a long-term competitive edge. Also, as a consequence, the research is compatible with resource-based view (RBV) theory.
Research on Energy Consumption Forecast Method of Slab Heat Transfer Mechanism Mathematical Model in Reheating Furnace

The rolling mill furnace is the main energy consumption device of the steel production.There are many factors affecting the amount of energy consumption of the furnace, so the prediction of its energy consumption by the data mining method is difficult because of too many variables. Through mechanism analysis, the heating furnace model was build to realized off-line simulation of all the status, so the corresponding energy consumption date are got. After the on-line installation, it could realize the purpose of real-time and accurately prediction.
An edge detectable algorithm for high-voltage isolating switch

The television monitoring technology becomes an important method in the automation of the substation and electrical network, which raises a higher level to the switch frequency monitoring picture processing algorithm research. Based on the analysis of the classical edge detectable operator, and in view of the high voltage switch characteristic which is in the transmission line, one edge detectable algorithm is proposed.This algorithm considers initiatue recognition, and just paritialy process the images, this paper which reduces a huge processing, and raises processing speed. The GW17-550D type high voltage switch of close situation and GW22-12 of open situation are adopted classic edge detectable operator and the proposed detectable algorithm respectively to simulate.The simulation results show that the new algorithm is more satisfied.
A Study on Temporal Effects of Different Types of Mobile Application Updates

The sustainability of market performance of mobile applications (apps) updates is a vital goal for e-commerce firms to continuously innovate for products and functions. E-commerce firms must formulate effective app update strategies and tackle the temporal uncertainties associated with different types of app updates. However, the existing literature on app updates mainly focuses on the effects of update frequency. At the same time, scant attention has been paid to clarifying the temporal effects of different types of app updates. Accordingly, based on the framework of exploration vs. exploitation, we investigate the temporal effects of different kinds of app updates on market performance in the hypercompetitive context of online travel mobile applications. We collected data on release notes and downloads of seven Chinese online travel apps available from the Android Market from April 2013 to January 2015; conducted structured content analysis to identify different types of app updates; and adopted the feasible generalized least-squares (FGLS) estimation to test our model. We found that exploitative app updates have an instant and continuous positive impact on market performance, while explorative app updates have no significant effect in the short term but will have a positive effect on market performance in the long term. Moreover, competition intensity shortens the duration of the positive effect of exploitative app updates and delays the time that explorative app updates have to take effect. By studying the different impacts that two types of app updates have on market performance from a time dimension, this study helps resolve the mixed findings on the effects of app updates and guides e-commerce firms on how to effectively formulate app update strategies in a hypercompetitive context.
Effects of a megafire on the arbuscular mycorrhizal fungal community and parameters in the Brazilian Cerrado ecosystem

Aim of the study: To evaluate the effects of a mega-fire on the arbuscular mycorrhizal fungi (AMF) community and parameters in soils under Cerrado vegetation. Study area: Chapada dos Veadeiros National Park, Goiás, Brazil. This site suffered the biggest fire in its history on October 10, 2017, with an affected area of 66,000 ha. Material and methods: We analyzed AMF spore density, roots’ mycorrhizal colonization rate, easily extractable glomalin (EEG), as well as the AMF genera present. These parameters were evaluated in burned and unburned areas of five common phytophysiognomies of the region. Main results: Fire presence immediately influenced the mycorrhizal community parameters in Cerrado soils, which tended to increase afterwards. The presence of AMF genera did not differ between burned and unburned areas, with Acaulospora, Claroideglomus, Diversispora, Glomus, Funneliformis, Sclerocystis, and Gigaspora being present. The recovery of AMF community conditions in the Cerrado after fire events could also be observed in the mycorrhizal parameters evaluated, as the values of spore density, roots’ mycorrhizal colonization rate, and EEG were similar in the burned and unburned areas. Research highlights: AMF diversity, and especially their community parameters, show great recovery after fire events, since they are crucial in processes like nutrient cycling and soil aggregation.
Towards a Contactless Stress Classification Using Thermal Imaging

Thermal cameras capture the infrared radiation emitted from a body in a contactless manner and can provide an indirect estimation of the autonomic nervous system (ANS) dynamics through the regulation of the skin temperature. This study investigates the contribution given by thermal imaging for an effective automatic stress detection with the perspective of a contactless stress recognition system. To this aim, we recorded both ANS correlates (cardiac, electrodermal, and respiratory activity) and thermal images from 25 volunteers under acute stress induced by the Stroop test. We conducted a statistical analysis on the features extracted from each signal, and we implemented subject-independent classifications based on the support vector machine model with an embedded recursive feature elimination algorithm. Particularly, we trained three classifiers using different feature sets: the full set of features, only those derived from the peripheral autonomic correlates, and only those derived from the thermal images. Classification accuracy and feature selection results confirmed the relevant contribution provided by the thermal features in the acute stress detection task. Indeed, a combination of ANS correlates and thermal features achieved 97.37% of accuracy. Moreover, using only thermal features we could still successfully detect stress with an accuracy of 86.84% in a contact-free manner.