Miracle-dz/UniFAR-FTUs huggingface dataset:
Readmission Rates and Their Impact on Hospital Financial Performance: A Study of Washington Hospitals

This longitudinal study examines whether readmission rates, made transparent through Hospital Compare, affect hospital financial performance by examining 98 hospitals in the State of Washington from 2012 to 2014. Readmission rates for acute myocardial infarction (AMI), pneumonia (PN), and heart failure (HF) were examined against operating revenues per patient, operating expenses per patient, and operating margin. Using hospital-level fixed effects regression on 276 hospital year observations, the analysis indicated that a reduction in AMI readmission rates is related with increased operating revenues as expenses associated with costly treatments related with unnecessary readmissions are avoided. Additionally, reducing readmission rates is related with an increase in operating expenses. As a net effect, increased PN readmission rates may show marginal increase in operating margin because of the higher operating revenues due to readmissions. However, as readmissions continue to happen, a gradual increase in expenses due to greater use of resources may lead to decreased profitability.
Electronically enhanced classroom interaction

A design rationale for introducing electronic equipment for student interaction in lecture theatres is presented, linking the instructional design to theory. The effectiveness of the equipment for learning depends mostly on what pedagogic method is employed: various alternative types are introduced. Prospective studies are outlined for exploring its use over new ranges of application. Rival views of the concept of interactivity are one way to organise the evaluation of this learning technology.
Iterative processes: a review of semi-supervised machine learning in rehabilitation science

Abstract Purpose: To define semi-supervised machine learning (SSML) and explore current and potential applications of this analytic strategy in rehabilitation research. Method: We conducted a scoping review using PubMed, GoogleScholar and Medline. Studies were included if they: (1) described a semi-supervised approach to apply machine learning algorithms during data analysis and (2) examined constructs encompassed by the International Classification of Functioning, Disability and Health (ICF). The first two authors reviewed identified articles and recorded study and participant characteristics. The ICF domain used in each study was also identified. Results: After combining information from the eight studies, we established that SSML was a feasible approach for analysis of complex data in rehabilitation research. We also determined that semi-supervised approaches may be more accurate than supervised machine learning approaches. Conclusions: A semi-supervised approach to machine learning has potential to enhance our understanding of complex data sets in rehabilitation science. SSML mirrors the iterative process of rehabilitation, making this approach ideal for calibrating devices, classifying activities or identifying just-in-time interventions. Rehabilitation scientists who are interested in conducting SSML should collaborate with data scientists to advance the application of this approach within our field. Implications for rehabilitation Semi-supervised machine learning applications may be a feasible approach for analyses of complex data sets in rehabilitation research. Semi-supervised machine learning approaches uses a combination of labelled and unlabelled data to produce accurate predictive models, thereby requiring less user-input data than other machine learning approaches (i.e., supervised, unsupervised), reducing resource cost and user-burden. Semi-supervised machine learning is an iterative process that, when applied to rehabilitation assessment and outcomes, could produce accurate personalized models for treatment. Rehabilitation researchers and data scientists should collaborate to implement semi-supervised machine learning approaches in rehabilitation research, optimizing the power of large datasets that are becoming more readily available within the field (e.g., EEG signals, sensors, smarthomes).
Vasoactive intestinal peptide-expressing interneurons are impaired in a mouse model of Dravet syndrome

Dravet Syndrome (DS) is a severe neurodevelopmental disorder caused by pathogenic loss of function variants in the gene SCN1A which encodes the voltage gated sodium (Na+) channel subunit Nav1.1. GABAergic interneurons expressing parvalbumin (PV-INs) and somatostatin (SST-INs) exhibit impaired excitability in DS (Scn1a+/-) mice. However, the function of a third major class of interneurons in DS – those expressing vasoactive intestinal peptide (VIP-IN) –is unknown. We recorded VIP-INs in brain slices from Scn1a+/-mice and wild-type littermate controls and found prominent impairment of irregular spiking (IS), but not continuous adapting (CA) VIP-INs, in Scn1a+/- mice. Application of the Nav1.1-specific toxin Hm1a rescued the observed deficits. The IS vs. CA firing pattern is determined by expression of KCNQ channels; IS VIP-INs switched to tonic firing with both pharmacologic blockade of M-current and muscarinic acetylcholine receptor activation. These results show that VIP-INs express Nav1.1 and are dysfunctional in DS, which may contribute to DS pathogenesis.
Cascade catalytic nanoplatform for enhanced starvation and sonodynamic therapy

Abstract Background: Sonodynamic therapy (SDT) has emerged as an alternative to the traditional treatments of cancer. However, the oxygen consumption induced by SDT and glucose oxidase (GOx) mediated starvation therapy would worsen the hypoxic tumor environment, which further impeded therapeutic efficacy. Purpose: To develop a nanoplatform and investigate its anti-cancer mechanism for enhanced starvation and SDT. Methods: We constructed a cascade catalytic nanoplatform based on GOx modified the mesoporous MnO2 NPs loaded with hematoporphyrin monomethyl ether (HMME), which were designated as GOx-MnO2/HMME. We characterized them for their catalytic activity, and investigate the magnetic resonance imaging and anti-tumor efficiency in vitro and in vivo. Results: MnO2 NPs with catalase-like activity could oxidize H2O2 under acid condition to produce O2, which not only in turn was supplied to the glucose-depletion reaction for an efficient starvation therapy, but also enhanced the 1O2 generation for HMME mediated SDT effect. In addition, the released Mn2+ ions in the system were able to enhance the MRI signal. Both in vitro and in vivo experiments suggested the cascade catalytic-therapeutic effect between GOx, MnO2 NPs and HMME, demonstrating the enhanced starvation and SDT.
Qos provisioning for multi-class traffic in wireless networks

Physical constraints, bandwidth constraints and host mobility all contribute to the difficulty of providing Quality of Service (QoS) guarantees in wireless networks. There is a growing demand for wireless networks to support all the services that are available on wired networks. These diverse services, such as email, instant messaging, web browsing, video conferencing, telephony and paging all place different demands on the network, making QoS provisioning for wireless networks that carry multiple classes of traffic a complex problem. We have developed a set of admission control and resource reservation schemes for QoS provisioning in multi-class wireless networks. We present three variations of a novel resource borrowing scheme for cellular networks that exploits the ability of some multimedia applications to adapt to transient fluctuations in the supplied resources. The first of the schemes is shown to be proportionally fair: the second scheme is max-min fair. The third scheme for cellular networks uses knowledge about the relationship between streams that together comprise a multimedia session in order to further improve performance. We also present a predictive resource reservation scheme for LEO satellite networks that exploits the regularity of the movement patterns of mobile hosts in LEO satellite networks. We have developed the cellular network simulator (CNS) for evaluating call-level QoS provisioning schemes. QoS at the call-level is concerned with call blocking probability (CBP), call dropping probability (CDP), and supplied bandwidth. We introduce two novel QoS parameters that relate to supplied bandwidth—the average percent of desired bandwidth supplied (DBS), and the percent of time spent operating at the desired bandwidth level (DBT).
Profiling of how nociceptor neurons detect danger – new and old foes

The host evolves redundant mechanisms to preserve physiological processing and homeostasis. These functions range from sensing internal and external threats, creating a memory of the insult and generating reflexes, which aim to resolve inflammation. Impairment in such functioning leads to chronic inflammatory diseases. By interacting through a common language of ligands and receptors, the immune and sensory nervous systems work in concert to accomplish such protective functions. Whilst this bidirectional communication helps to protect from danger, it can contribute to disease pathophysiology. Thus, the somatosensory nervous system is anatomically positioned within primary and secondary lymphoid tissues and mucosa to modulate immunity directly. Upstream of this interplay, neurons detect danger, which prompts the release of neuropeptides initiating (i) defensive reflexes (ranging from withdrawal response to coughing) and (ii) chemotaxis, adhesion and local infiltration of immune cells. The resulting outcome of such neuro‐immune interplay is still ill‐defined, but consensual findings start to emerge and support neuropeptides not only as blockers of TH1‐mediated immunity but also as drivers of TH2 immune responses. However, the modalities detected by nociceptors revealed broader than mechanical pressure and temperature sensing and include signals as various as cytokines and pathogens to immunoglobulins and even microRNAs. Along these lines, we aggregated various dorsal root ganglion sensory neuron expression profiling datasets supporting such wide‐ranging sensing capabilities to help identifying new danger detection modalities of these cells. Thus, revealing unexpected aspects of nociceptor neuron biology might prompt the identification of novel drivers of immunity, means to resolve inflammation and strategies to safeguard homeostasis.
An overview of letermovir: a cytomegalovirus prophylactic option

ABSTRACT Introduction: Human cytomegalovirus (HCMV) or human herpesvirus 5 (HHV-5) is a β-herpesvirus that causes widespread infection in nearly all members of the human population worldwide. Its persistence in humans after primary infection in a latent phase as well as a partial non–protective immune response is the basis for repeated re-activation/re-infection episodes occurring both in immunocompetent and immunocompromised subjects. In the latter patient populations, which include hematopoietic stem cell transplant (HSCT) recipients, HCMV reactivation episodes may be particularly severe, leading to both systemic and end-organ diseases. Since the 90s, at least four antiviral drugs targeting the DNA polymerase complex have been developed for the prevention and treatment of HCMV infections in transplant recipients, used as first-line (ganciclovir and valganciclovir) and second-line therapy (foscarnet and cidofovir). However, due to their toxicity and drug-resistance induction, new drugs with different targets were needed. Areas covered: In 2017, a new drug named letermovir (LTV), which targets the HCMV DNA terminase complex, was licensed for prophylaxis of HCMV infections in HSCT recipients. This is the focus of this review. Expert opinion: LTV safety and efficacy are promising. However, long-term adverse events and the emergence of drug-resistant HCMV strains must be investigated in extended clinical trials prior to drawing final conclusions.
Looking, But Not Listening? Theorizing the Practice and Ethics of Online Ethnography

There are debates across disciplines regarding how to research and represent digital cultures ethically. Against this background, there is a need to reflect on the practice and ethics of online ethnography. Ambiguities surrounding researcher “participation” online have led this to be equated largely with observation. This has deprivileged the act of listening in both research practice and the methodological and ethical debates that underpin this. Utilizing ethnographic research into self-harm and social media as a critical lens, this article advocates for listening as a mode of participating in, as well as observing, online spaces. In proposing “active listening” and “adaptive listening” to explore the polyphonic and heterogeneous nature of social media, we argue that listening is key to representing online spaces in all their cultural diversity and emotional complexity. Reflecting on listening is necessary to forging a practical ethics of online ethnography, and is relevant to digital research more widely.
Alkaloids from the root of Indonesian Annona muricata L

Abstract Annona muricata L. has been used traditionally in Indonesia to treat disease. Phytochemical studies on the alkaloid fractions from the root of Annona muricata L. from Malang-Indonesia resulted in the isolation of an unreported benzylisoquinoline alkaloid (+)-xylopine 5 as well as four known alkaloids (1–4). The crude methanol extract and alkaloid fractions were tested against Plasmodium falciparum K1 and against bacteria (Escherichia coli, Klebsiella pneumonia, Acinetobacter buamanii, Pseudomonas aeruginosa, Methicillin-resistant Staphylococcus aureus) with insignificant activities (MIC > 32 µg/mL). Individual alkaloids were tested against a human suspension cancer cell line (HL-60 leukemia cells) and two human fibroblastic cancer cell lines (A549 lung cancer cells and HepG2 liver cancer cells) in which compound 5 was the most toxic alkaloid with IC50 values ranging from 20 to 80 µM.
Distribution Network Planning and Design Using Branch and Bound Methods

This study presents implementation of the bound and branch methods as an optimization mathematical device for distribution network planning. A development technology concentrates on minimizing the total costs and provides extended opportunities for improvement of network operation, from the initial planning stage. The study illustrate the mathematical and the algorithm of the branch and bound method with an example to indicate the efficiency of the branch and bound in planning and design processes. It also shows that the optimal configuration strongly depends on the branching rule and on the bound calculation bases.
Applications of Natural Language to Information Systems

From the Publisher: Applications of Natural Language to Information Systems covers high academic quality papers on the following topics: natural language interfaces to databases, information retrieval, use of linguistic tools and electronic dictionaries, conceptual modelling, paraphrasing and validating information system models, the use of natural language as a specification interface for the design of information systems, linguistic aspects of database view integration and hypertext facilities for database querying. Furthermore the typical applications of natural language, are addressed, presented both from a scientific as well as an industrial perspective by Peter Chen, the inventor of the ER model, and Gerald Kristen, the founder of the KISS company. Other topics: - Natural Language Specification; - Natural Language Paraphrasing; - Linguistic Tools and Electronic Dictionaries; - Database Hypertext Facilities; - Information Retrieval; - Natural Language Database Interfaces; - Conceptual Modeling with Linguistic Knowledge; - Linguistic Aspects of Database View Integration.
Can Adults with Mild Cognitive Impairment Build Cognitive Reserve and Learn Mindfulness Meditation? Qualitative Theme Analyses from a Small Pilot Study.

BACKGROUND/OBJECTIVE High levels of chronic stress negatively impact the hippocampus and are associated with increased incidence of mild cognitive impairment (MCI) and Alzheimer's disease. While mindfulness meditation may mitigate the effects of chronic stress, it is uncertain if adults with MCI have the capacity to learn mindfulness meditation. METHODS 14 adults with MCI were randomized 2:1 to Mindfulness Based Stress Reduction (MBSR) or a wait-list control group. We conducted qualitative interviews with those who completed MBSR. Transcribed interviews were: a) coded using an emergent themes inductive approach informed by grounded theory; b) rated 0-10, with higher scores reflecting greater perceived benefit from and understanding of mindfulness meditation. Ratings were correlated with daily home practice times and baseline level of cognitive function. RESULTS Seven themes emerged from the interviews: positive perceptions of class; development of mindfulness skills, including meta-cognition; importance of the group experience; enhanced well-being; shift in MCI perspective; decreased stress reactivity and increased relaxation; improvement in interpersonal skills. Ratings of perceived benefit and understanding ranged from 2-10 (mean = 7) and of 0-9.5 (mean = 6), respectively. Many participants experienced substantial benefit/understanding, some had moderate, and a few had minimal benefit/understanding. Understanding the key concepts of mindfulness was highly positively correlated with ≥20 minutes/day of home practice (r = 0.90) but not with baseline cognitive function (r = 0.13). CONCLUSIONS Most adults with MCI were able to learn mindfulness meditation and had improved MCI acceptance, self-efficacy, and social engagement. Cognitive reserve may be enhanced through a mindfulness meditation program even in patients with MCI.
Thigh positioned wearable resistance affects step frequency not step length during 50 m sprint-running

Abstract This study determined the acute changes in spatio-temporal and impulse variables when wearable resistance (WR) of 2% body mass was attached distally to the thighs during 50 m maximal sprint-running. Fifteen sub-elite male sprinters performed sprints with and without WR over 50 m of in-ground force platforms in a randomised order. A paired t-test was used to determine statistical differences (p < .05), with effect sizes (ES) calculated between conditions over steps: 1–4, 5–14, and 15–23. WR resulted in small increased 10 and 50 m sprint times (1.0%, ES = 0.31, 0.9%, ES = 0.44, respectively, p > .05) compared to the unloaded sprint condition. For spatio-temporal variables, the WR condition resulted in moderate ES changes in step frequency (−2.8%, ES = −0.53, steps 5–14, p > .05), and contact time (2.5%, ES = 0.57, steps 5–14, and 3.2%, ES = 0.51, average of 23 steps, p > .05), while step length was unaffected during all step phases of the sprint (ES = 0.02–0.07, p > .05). Regarding kinetics, during steps 5–14, WR resulted in a moderate decrease (−4.8%, ES = −0.73, p < .05) in net anterior-posterior impulses and a moderate decrease in vertical stiffness (−5.7%, ES = −0.57, p > .05). For athletes seeking to overload step frequency and develop anterior-posterior impulse during mid to late accelerated sprinting, WR enables the application of a sprint-specific form of resistance training to be completed without decreasing step length.
Technical note: A modified gamma evaluation method for dose distribution comparisons

Abstract Purpose In this work we have developed a novel method of dose distribution comparison, the inverse gamma (IG) evaluation, by modifying the commonly used gamma evaluation method. Methods The IG evaluation calculates the gamma criteria (dose difference criterion, ΔD, or distance‐to‐agreement criterion, Δd) that are needed to achieve a predefined pass rate or gamma agreement index (GAI). In‐house code for evaluating IG with a fixed ΔD of 3% was developed using Python (v3.5.2) and investigated using treatment plans and measurement data from 25 retrospective patient specific quality assurance tests (53 individual arcs). Results It was found that when the desired GAI was set to 95%, approximately three quarters of the arcs tested were able to achieve Δd within 1 mm (mean Δd: 0.7 ± 0.5 mm). The mean Δd required in order for all points to pass the gamma evaluation (i.e., GAI = 100%) was 4.5 ± 3.1 mm. The possibility of evaluating IG by fixing the Δd or ΔD/Δd, instead of fixing the ΔD at 3%, was also investigated. Conclusion The IG method and its indices have the potential to be implemented clinically to quantify the minimum dose and distance criteria based on a specified GAI. This method provides additional information to augment standard gamma evaluation results during patient specific quality assurance testing of individual treatment plans. The IG method also has the potential to be used in retrospective audits to determine an appropriate set of local gamma criteria and action levels based on a cohort of patient specific quality assurance plans.
Validation of a palliative care outcome measurement tool supplemented by neurological symptoms (HOPE+): Identification of palliative concerns of neurological patients

Background: There is growing interest to integrate palliative care and its structures into the care of neurological patients. However, in Germany there is no comprehensive assessment tool capturing the symptoms of patients with advanced neurological diseases. Aim: To validate a newly developed palliative care measurement tool based on an extension of the validated core documentation system Hospice and Palliative Care Evaluation considering additional neurological issues (HOPE+). Design: Prospective, observational study using HOPE+ and as external criteria, the Eastern Cooperative Oncology Group (ECOG) performance status and the 12 months “surprise” question (12-SQ) in a neurological population, and assessment for its construct validity and diagnostic accuracy. Setting/participants: All newly admitted patients to the Department of Neurorehabilitation, Dr. Becker Rhein-Sieg-Clinic aged 18–100 years (#DRKS00010947). Results: Data from 263 patients (63 ± 14 years of age) were analyzed. HOPE+ revealed a moderately correlated six-factor structure (r = –0.543–0.525). Correlation analysis to evaluate discriminant validity using ECOG as external criterion was high (rs(261) = 0.724, p < 0.001) and confirmed for severely affected patients by adding the 12-SQ (“No”-group: 48.00 ± 14.92 vs “Yes”-group: 18.67 ± 7.57, p < 0.009). Operating characteristics show satisfactory diagnostic accuracy (area under the curve: 0.746 ± 0.049, 95% confidence interval = 0.650–0.842). Conclusion: HOPE+ demonstrates promising psychometric properties. It helps to assess palliative care issues of patients in neurological settings and, in combination with the 12-SQ, conceivably conditions when to initiate the palliative care approach in a population underrepresented in palliative care structures so far.