Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility of progressive sit-to-stand training among older hospitalized patients

Background. In older patients, hospitalization is associated with a decline in functional performance and loss of muscle strength. Loss of muscle strength and functional performance can be prevented by systematic strength training, but details are lacking regarding the optimal exercise program and dose for older patients. Therefore, our aim was to test the feasibility of a progression model for loaded sit-to-stand training among older hospitalized patients. Methods. This is a prospective cohort study conducted as a feasibility study prior to a full-scale trial. We included twenty-four older patients (≥65 yrs) acutely admitted from their own home to the medical services of the hospital. We developed an 8-level progression model for loaded sit-to-stands, which we named STAND. We used STAND as a model to describe how to perform the sit-to-stand exercise as a strength training exercise aimed at reaching a relative load of 8–12 repetitions maximum (RM) for 8–12 repetitions. Weight could be added by the use of a weight vest when needed. The ability of the patients to reach the intended relative load (8–12 RM), while performing sit-to-stands following the STAND model, was tested once during hospitalization and once following discharge in their own homes. A structured interview including assessment of possible modifiers (cognitive status by the Short Orientation Memory test and mobility by the De Morton Mobility Index) was administered both on admission to the hospital and in the home setting. The STAND model was considered feasible if: (1) 75% of the assessed patients could perform the exercise at a given level of the model reaching 8–12 repetitions at a relative load of 8–12 RM for one set of exercise in the hospital and two sets of exercise at home; (2) no ceiling or floor effect was seen; (3) no indication of adverse events were observed. The outcomes assessed were: level of STAND attained, the number of sets performed, perceived exertion (the Borg scale), and pain (the Verbal Ranking Scale). Results. Twenty-four patients consented to participate. Twenty-three of the patients were tested in the hospital and 19 patients were also tested in their home. All three criteria for feasibility were met: (1) in the hospital, 83% could perform the exercise at a given level of STAND, reaching 8–12 repetitions at 8–12 RM for one set, and 79% could do so for two sets in the home setting; (2) for all assessed patients, a possibility of progression or regression was possible—no ceiling or floor effect was observed; (3) no indication of adverse events (pain) was observed. Also, those that scored higher on the De Morton Mobility Index performed the exercise at higher levels of STAND, whereas performance was independent of cognitive status. Conclusions. We found a simple progression model for loaded sit-to-stands (STAND) feasible in acutely admitted older medical patients (≥65 yrs), based on our pre-specified criteria for feasibility.
Multiantibody Strategies for HIV

Vaccination strategies depend entirely on the appropriate responsiveness of our immune system against particular antigens. For this active immunization to be truly effective, neutralizing antibodies (nAbs) need to efficiently counter the infectivity or propagation of the pathogen. Some viruses, including HIV, are able to take advantage of this immune response in order to evade nAbs. This review focuses on viral immune evasion strategies that result directly from a robust immune response to infection or vaccination. A rationale for multi-Ab therapy to circumvent this phenomenon is discussed. Progress in the formulation, production, and regulatory approval of monoclonal antibodies (mAbs) is presented.
Yersinia virulence factor YopJ acts as a deubiquitinase to inhibit NF-κB activation

The bacterial pathogens of the genus Yersinia, the causative agents of plague, septicemia, and gastrointestinal syndromes, use a type III secretion system to inject virulence factors into host target cells. One virulence factor, YopJ, is essential for the death of infected macrophages and can block host proinflammatory responses by inhibiting both the nuclear factor κB (NF-κB) and mitogen-activated protein kinase pathways, which might be important for evasion of the host immune response and aid in establishing a systemic infection. Here, we show that YopJ is a promiscuous deubiquitinating enzyme that negatively regulates signaling by removing ubiquitin moieties from critical proteins, such as TRAF2, TRAF6, and IκBα. In contrast to the cylindromatosis tumor suppressor CYLD, which attenuates NF-κB signaling by selectively removing K63-linked polyubiquitin chains that activate IκB kinase, YopJ also cleaves K48-linked chains and thereby inhibits proteasomal degradation of IκBα. YopJ, but not a catalytically inactive YopJ mutant, promoted deubiquitination of cellular proteins and cleaved both K48- and K63-linked polyubiquitin. Moreover, an in vitro assay was established to demonstrate directly the deubiquitinating activity of purified YopJ.
BIT: A Very Compact Scheme System for Embedded Applications

We present an implementation of Scheme for microcontroller that is very compact and includes a real-time garbage collector. The compiler, which runs on a normal workstation, produces byte-code from the source program and the bytecode is linked with a runtime module. With this system, we demonstrate that it's clearly possible to run Scheme programs on a microcontroller with 64 KB of memory such as the Motorola 68HC11. Executables that include the whole library can be as little as 22 KB. As a secondary result, the research on memory management for this system brought us to create a space-eÆcient real-time GC algorithm.
Tag Recommendation Based on Continuous Conditional Random Fields

This paper focuses on tag recommendation. In many tagging systems, tags are highly interdependent. Conventional methods do not exploit dependencies between tags when computing the relevance score of a candidate tag for a new resource. In this paper, we take into consideration the relationship between candidate tags and propose a Continuous Conditional Random Fields (CRF) model for tag recommendation, referred to as TR-CRF. Firstly, a feature vector is set up for each candidate tag, which contains tag co-occurrence information. Then a ranking model is trained with TR-CRF, and the ranking score represents the relevance between a candidate tag and a resource. With the use of this model, tags of a new resource are generated automatically according to their ranking scores. Experimental results on two real world tag recommendation tasks validate the effectiveness of our method.
Lessons Learned from Implementing the Patient-Centered Medical Home

The Patient-Centered Medical Home (PCMH) is a primary care model that provides coordinated and comprehensive care to patients to improve health outcomes. This paper addresses practical issues that arise when transitioning a traditional primary care practice into a PCMH recognized by the National Committee for Quality Assurance (NCQA). Individual organizations' experiences with this transition were gathered at a PCMH workshop in Alexandria, Virginia in June 2010. An analysis of their experiences has been used along with a literature review to reveal common challenges that must be addressed in ways that are responsive to the practice and patients' needs. These are: NCQA guidance, promoting provider buy-in, leveraging electronic medical records, changing office culture, and realigning workspace in the practice to accommodate services needed to carry out the intent of PCMH. The NCQA provides a set of standards for implementing the PCMH model, but these standards lack many specifics that will be relied on in location situations. While many researchers and providers have made critiques, we see this vagueness as allowing for greater flexibility in how a practice implements PCMH.
Effects of Turbulent Stresses upon Mechanical Hemolysis: Experimental and Computational Analysis

Experimental and computational studies were performed to elucidate the role of turbulent stresses in mechanical blood damage (hemolysis). A suspension of bovine red blood cells (RBC) was driven through a closed circulating loop by a centrifugal pump. A small capillary tube (inner diameter 1 mm and length 70 mm) was incorporated into the circulating loop via tapered connectors. The suspension of RBCs was diluted with saline to achieve an asymptotic apparent viscosity of 2.0 ± 0.1 cP at 23°C to produce turbulent flow at nominal flow rate and pressure. To study laminar flow at the identical wall shear stresses in the same capillary tube, the apparent viscosity of the RBC suspension was increased to 6.3 ± 0.1 cP (at 23°C) by addition of Dextran-40. Using various combinations of driving pressure and Dextran mediated adjustments in dynamic viscosity Reynolds numbers ranging from 300–5,000 were generated, and rates of hemolysis were measured. Pilot studies were performed to verify that the suspension media did not affect mechanical fragility of the RBCs. The results of these bench studies demonstrated that, at the same wall shear stress in a capillary tube, the level of hemolysis was significantly greater (p < 0.05) for turbulent flow as compared with laminar flow. This confirmed that turbulent stresses contribute strongly to blood mechanical trauma. Numerical predictions of hemolysis obtained by computational fluid dynamic modeling were in good agreement with these experimental data.
Distributed Resource Allocation Games in Horizontal Dynamic Cloud Federation Platform

Distributed resource allocation is a very important and complex problem in emerging horizontal dynamic cloud federation (HDCF) platform. The HDCF platform differs from the existing vertical supply chain federation (VSCF) models in terms of establishing federation and dynamic pricing. There is a need to develop algorithms that can capture this complexity yet can be easily implemented and used to solve distributed resource allocation problem in HDCF platform. In this paper, we propose a game-theoretic solution to this problem that ensures mutual benefits so that the cloud providers (CPs) are encouraged to form a HDCF platform. We study two resource allocation games - cooperative and non-cooperative games to analyze interaction among CPs in a HDCF environment. Also both centralized and distributed algorithms are presented to find optimal solutions which have low overhead and robust performance. Various simulations were carried out to validate and verify the effectiveness of the proposed resource allocation games.
Semantic ambiguity norms for 530 Spanish words

This study presents semantic ambiguity norms for 530 Spanish words. Two subjective measures of semantic ambiguity and two subjective measures of relatedness of ambiguous word meanings were collected. In addition, two objective measures of semantic ambiguity were included. Furthermore, subjective ratings were obtained for some relevant lexicosemantic variables, such as concreteness, familiarity, emotional valence, arousal, and age of acquisition. In sum, the database overcomes some of the limitations of the published databases of Spanish ambiguous words; in particular, the scarcity of measures of ambiguity, the lack of relatedness of ambiguous word meanings measures, and the absence of a set of unambiguous words. Thus, it will be very helpful for researchers interested in exploring semantic ambiguity as well as for those using semantic ambiguous words to study language processing in clinical populations.
Behavior Pattern Mining: Apply Process Mining Technology to Common Event Logs of Information Systems

Although information systems support a wide range of recreational and social activities, the pattern of users' behavior in such systems is not clear. We extend the process mining technology to work on common event logs that have no workflow cases reference, and name the new technology as behavior pattern mining. This paper gives out a brief survey on issues, challenges, approaches and related tools in behavior pattern mining area, and compares behavior pattern mining with workflow mining technology, which is the other sub field of process mining. To reply the problems proposed by behavior pattern mining, the process mining area gets its new motivation.
Epithelial-Mesenchymal Transition in Oral Squamous Cell Carcinoma

Oral cancer is one of the drastic human cancers due to its aggressiveness and high mortality rate. Of all oral cancers, squamous cell carcinoma is the most common accounting for more than 90%. Epithelial-mesenchymal transition (EMT) is suggested to play an important role during cancer invasion and metastasis. Recently, emerging knowledge on EMT in carcinogenesis is explosive, tempting us to analyze previous studies on EMT in oral squamous cell carcinoma (OSCC). In this paper, we have first addressed the general molecular mechanisms of EMT, evidenced by alterations of cell morphology during EMT, the presence of cadherin switching, turning on and turning off of many specific genes, the activation of various signaling pathways, and so on. The remaining part of this paper will focus on recent findings of the investigations of EMT on OSCC. These include the evidence of EMT taking place in OSCC and the signaling pathways employed by OSCC cells during their invasion and metastasis. Collectively, with the large body of new knowledge on EMT in OSCC elaborated here, we are hopeful that targeting treatment for OSCC will be developed.
Modeling and Swimming Property Characterizations of Scaled-Up Helical Microswimmers

Micro- and nanorobots capable of controlled propulsion at low Reynolds number are foreseen to change many aspects of medicine by enabling targeted diagnosis and therapy, and minimally invasive surgery. Several kinds of helical swimmers with different heads actuated by a rotating magnetic field have been proposed in prior works. Beyond these proofs of concepts, this paper aims to obtain an optimized design of the helical swimmers adapted to low Reynolds numbers. For this, we designed an experimental setup and scaled-up helical nanobelt swimmers with different head and tail coatings to compare their rotational propulsion characteristics. We found in this paper that the head shape of a helical swimmer does not influence the shape of the rotational propulsion characteristics curve, but it influences the cutoff frequency values. The rotational propulsion characteristics of the helical swimmers with a magnetic head or a magnetic tail are different. The helical swimmers with uniformly coated magnetic tails do not show a cutoff frequency, whereas the ones with a magnetic head exhibit a saturation of frequency.
Performance investigation of Five Phase Induction Generator

This paper investigates Five Phase Induction Generator (FPIG) performance. A dynamic model of FPIG is developed using d-q equivalent circuit in matlab/simulink software. The generator is operated in self excited mode. In this paper, the performance of FPIG is evaluated under varying load condition. The generated stator voltage, current and generated torque waveforms are presented. The effects of variation of load and variation of capacitance on performance of the generator are briefly discussed using the results obtained through simulation.
Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation

Event extraction systems typically take advantage of language and domain-specific knowledge bases, including patterns that are used to identify specific facts in text; techniques to acquire these patterns can be considered one of the most challenging issues. In this work, we propose a languageindependent and weakly-supervised algorithm to automatically discover linear patterns from texts. Our approach is based on a phrase-based statistical machine translation system trained on monolingual data. A bootstrapping version of the algorithm is proposed. Our method was tested on patterns with different domain-specific semantic roles in three languages: English, Spanish and Russian. Performance shows the feasibility of our approach and its capability of working with texts in various languages.
Delays-independent stability analysis of networked and quantized control system

This paper describes a system for the stability analysis of the uncertain systems subject to quantization and time-delays. The technique used is to employ a newly developed and versatile Lyapunov function analyzing approach for network-ed and quantized control systems (NQCSs). The common aim is to demonstrate that a unified study of quantization and delay effects in an uncertain system is possible by merging the quantized control law and a Lyapunov-Krasovskii functional. A new delays-independent stability criterion is derived in terms of linear matrix inequality (LMI) which can be easily solved. Moreover, a sufficient condition for the existence of a guaranteed cost contro-ller for NQCSs is also presented by a set of LMIs. A simulation result is given to illustrate the effectiveness of the proposed method.
An ESS charge balancing method based on current allocation with multi-source power converters for electric microcars

Batteries are one of the most costly components in electric vehicles (EVs) yet they also limit the performance and lifespan of the vehicles. Voltage imbalance between series connected battery cells worsens the limitations but is inevitable due to the manufacturing tolerance of capacity and deviations of environmental and batteries' parameters. Industries have developed a wide range of solutions to keep cell voltage equalized including adding balancing circuits and specialized chargers to improve the battery capacity utilization and to extend the lifespan of whole battery pack. However, these methods are generally ineffective for the energy storage systems (ESSs) in EVs. Instead of developing circuitries for cell balancing, this study would like to investigate the effectiveness of battery charge balancing by load/charge allocation with multi-source power converters such as multilevel voltage source inverters (VSIs) that directly connect the batteries in ESSs as sources. A simulation model with an 11-level cascaded H-bridge inverter (CHBI) was employed to examine the proposed switching scheme. The simulation result is encouraging that voltage sources were balanced by utilizing a significant amount of the load/charging current as balancing current; the sources attained equal voltage within a short period in simulation environment.
Analysis of the MRP4 drug resistance profile in transfected NIH3T3 cells.

BACKGROUND Multidrug resistance-associated protein (MRP) 1 and canalicular multispecific organic anion transporter (cMOAT or MRP2) are adenosine triphosphate-binding cassette transporters that confer resistance to anticancer agents. In addition to these two transporters, there are at least four other human MRP subfamily members (MRP3 through MRP6). We and others reported previously that MRP3 is capable of conferring resistance to certain anticancer agents. In this study, we investigated whether MRP4 (MOAT-B), whose transcript accumulates to the highest levels in prostate tissue, has the capacity to confer drug resistance. METHODS MRP4-transfected NIH3T3 cells were generated, and their drug sensitivity was analyzed. The subcellular localization of MRP4 was assessed by immunohistochemical analysis in transfected cells and in prostate tissue. Statistical tests were two-sided. RESULTS MRP4 was detected as a 170-kd protein that was localized in the plasma membrane and cytoplasm of transfected cells. The MRP4 transfectants displayed 5.5-fold increased resistance to methotrexate in short-term drug-exposure assays (P=.022) and exhibited decreased cellular accumulation of this agent at 4 hours (P=.006) and 24 hours (P<.001). In continuous-exposure assays, however, the MRP4 transfectants did not display increased resistance for either methotrexate or natural product cytotoxic agents (anthracyclines, etoposide, vinca alkaloids, and paclitaxel [Taxol]). However, the transfectants did show increased resistance (2.3-fold) for the anti-acquired immunodeficiency syndrome nucleoside analogue 9-(2-phosphonylmethoxyethyl)adenine (PMEA) (P=.022) in continuous-exposure assays. Consistent with MRP4's plasma membrane localization in transfected cells, analysis of prostate tissue showed that MRP4 protein was localized primarily in the basolateral plasma membranes of tubuloacinar cells. CONCLUSIONS These results indicate that MRP4 confers resistance to short-term methotrexate and continuous PMEA treatment. Given its structure, drug resistance profile and subcellular localization, MRP4 probably functions as an amphipathic anion efflux pump whose substrate range includes glutamate and phosphate conjugates.
Evaluation of CFD codes on a two-phase flow benchmark reference test case

The performance of two commercial simulation codes, Ansys Fluent and Comsol Multiphysics, is thoroughly examined for a recently established two-phase flow benchmark test case. In addition, the commercial codes are directly compared with the newly developed academic code, FeatFlow TP2D. The results from this study show that the commercial codes, failing to converge and produce accurate results, leave much to be desired with respect to direct numerical simulation of flows with free interfaces. The academic code on the other hand was computationally efficient, produced very accurate results, and outperformed the commercial codes by a magnitude or more.
Rastreamento cognitivo em idosos esquizofrênicos institucionalizados Cognitive screening of institutionalized schizophrenic elderly patients

Mini-Mental State (MMSE) and questionnaires for the evaluation of the disease duration and level of education were carried out in the 38 female institutionalized elderly patients with a diagnosis of schizophrenia according to DSM-IV criteria. Their medication use was assessed according to specific drug class and posology. Data was obtained from the patients’ records and interview. Conclusion: Elderly institutionalized schizophrenic patients had higher MMSE scores and cognitive performance than those living in institutions in the U.S. and United Kingdom as reported by the literature. Years of formal education have a positive influence on cognitive performance, ie. , illiterate people have a poorer performance than patients who had low-to-intermediate level of education. Despite the long duration of the disorder, MMSE scores show moderate degree of impairment. These data may help to develop adaptive care for this population.
E-Business Use in Small and Medium-Sized Tourism Enterprises: A Post Adoption Perspective

In the context of ongoing research into e-business technologies in use by Thai SMEs in the travel service sector, this paper starts with an overview of e-business technology impact on the travel sector generally before focusing on the Thai context. Of primary interest in this paper is the user experience from the introduction of new technologies and their post-adoption evaluation. The analysis starts with consideration of the stakeholders in the travel industry and an understanding of the business models, including both the users and the providers of the e-business technologies. Two detailed case studies demonstrate how ebusiness technologies benefit both firms. In each company the decision on the degree of IT integration differs and this is shown to have considerable impact on benefits realised. In the post adoption evaluation, however, each has its own frame of reference. Formal methods of assessment for both SMEs are problematic and not in evidence.