Miracle-dz/UniFAR-FTUs huggingface dataset:
High Meiofaunal and Nematodes Diversity around Mesophotic Coral Oases in the Mediterranean Sea

Although the mesophotic zone of the Mediterranean Sea has been poorly investigated, there is an increasing awareness about its ecological importance for its biodiversity, as fish nursery and for the recruitment of shallow water species. Along with coastal rocky cliffs, isolated coralligenous concretions emerging from muddy bottoms are typical structures of the Mediterranean Sea mesophotic zone. Coralligenous concretions at mesophotic depths in the South Tyrrhenian Sea were investigated to assess the role of these coralligenous oases in relation to the biodiversity of surrounding soft sediments. We show here that the complex structures of the coralligenous concretions at ca. 110 m depth influence the trophic conditions, the biodiversity and assemblage composition in the surrounding sediments even at considerable distances. Coral concretions not only represent deep oases of coral biodiversity but they also promote a higher biodiversity of the fauna inhabiting the surrounding soft sediments. Using the biodiversity of nematodes as a proxy of the total benthic biodiversity, a high turnover biodiversity within a 200 m distance from the coralligenous concretions was observed. Such turnover is even more evident when only rare taxa are considered and seems related to specific trophic conditions, which are influenced by the presence of the coralligenous structures. The presence of a high topographic complexity and the trophic enrichment make these habitats highly biodiverse, nowadays endangered by human activities (such as exploitation of commercial species such as Corallium rubrum, or trawling fisheries, which directly causes habitat destruction or indirectly causes modification in the sedimentation and re-suspension rates). We stress that the protection of the coralligenous sea concretions is a priority for future conservation policies at the scale of large marine ecosystems and that a complete census of these mesophotic oases of biodiversity should be a priority for future investigations in the Mediterranean Sea.
Grinding of Ti-6Al-4V Under Small Quantity Cooling Lubrication Environment Using Alumina and MWCNT Nanofluids

ABSTRACT Ti-6Al-4V is a difficult-to-grind material as chips tend to adhere to the grit materials of an abrasive wheel due to its chemical affinity. In the present work, it has been attempted to improve the grindability by application of small quantity cooling lubrication (SQCL) technology using nanofluids, namely, multiwalled carbon nanotube (MWCNT) and alumina nanofluid. The suitability of nanofluids was experimentally evaluated in reciprocating surface grinding using a vitrified SiC wheel. Substantial improvement in grindability under the influence of MWCNT nanofluid (SQCL) could be achieved compared to soluble oil (flood). Reduction of specific grinding forces and specific energy was observed due to the combined effect of superior heat dissipation and lubrication abilities; when the latter one was realized through on-site rolling of MWCNT strands, inter-tubular slip and solid lubrication of the film adhered onto the wheel surface. These outperforming characteristics of MWCNT nanofluid helped in retaining grit sharpness superiorly, thus resulting in better surface finish and less re-deposition of metal on the ground workpiece. On the contrary, Al2O3 nanofluid (SQCL) underperformed even soluble oil (flood). For an ageing effect, Al2O3 nanoparticles resulted in abrasive agglomerates, which led to its failure, despite its good heat dissipation capability.
Keeping the Cost of Process Change Low through Refactoring

With the increasing adoption of process-aware information systems (PAIS) large process model repositories have emerged. Over time respective models have to be re-aligned to the real world business processes through customization or adaptation. This bears the risk that model redundancies are introduced and complexity is increased. If no continuous investment is made in keeping models simple, changes are becoming increasingly costly and error-prone. Although refactoring techniques are widely used in software engineering to address related problems, this does not yet constitute state-of-the art in business process management. Consequently, process designers either have to refactor process models by hand or can not apply respective techniques at all. In this paper we propose a set of techniques for refactoring large process repositories, which are behaviour-preserving. The proposed refactorings enable process designers to effectively deal with model complexity by making process models easier to change, less error-prone and better understandable.
Challenges and Opportunities for Ex-Offender Support Through Community Nursing

This study was a qualitative case study underpinned by “The Silences Framework” aimed at mapping the ex-offender health pathway towards identifying “touch points” in the community for the delivery of a nurse-led intervention. Participants meeting the study inclusion criteria were quantitatively ranked based on poor health. Participants scoring the lowest and endorsing their ranking through a confirmation of a health condition were selected as cases and interviewed over 6 months. Individuals in the professional networks of offenders contextualized emergent themes. The study indicated that pre-release, offenders were not prepared in prison for the continuity in access to healthcare in the community. On release, reintegration preparation did not routinely enquire whether offenders were still registered with a general practitioner or had the agency to register self in the community. Participants identified the site of post-release supervision as the “touch point” where a nurse-led intervention could be delivered.
Distributed dynamic load balancing with applications in radio access networks

Managing and balancing load in distributed systems remains a challenging problem in resource management, especially in networked systems where scalability concerns favour distributed and dynamic approaches. Distributed methods can also integrate well with centralised control paradigms if they provide high‐level usage statistics and control interfaces for supporting and deploying centralised policy decisions. We present a general method to compute target values for an arbitrary metric on the local system state and show that autonomous rebalancing actions based on the target values can be used to reliably and robustly improve the balance for metrics based on probabilistic risk estimates. To balance the trade‐off between balancing efficiency and cost, we introduce 2 methods of deriving rebalancing actuations from the computed targets that depend on parameters that directly affects the trade‐off. This enables policy level control of the distributed mechanism based on collected metric statistics from network elements. Evaluation results based on cellular radio access network simulations indicate that load balancing based on probabilistic overload risk metrics provides more robust balancing solutions with fewer handovers compared to a baseline setting based on average load.
A High Portal Venous Pressure Gradient Increases Gut-Related Bacteremia and Consequent Early Mortality After Living Donor Liver Transplantation

Background Portal hypertension (PHT) is defined as a portal venous pressure gradient (PVPG) exceeding 5 mm Hg, which results in severe clinical manifestations. However, the validity of intraoperative PVPG monitoring and the association between PHT and bacterial translocation after liver transplantation remain unclear. Methods In this retrospective study, 223 patients who underwent primary adult-to-adult living donor liver transplantation from 2008 to 2015 were divided into 2 groups based on the PVPG at the end of the operation: high PVPG (>5 mm Hg, n = 69) and low PVPG (⩽5 mm Hg, n = 154). The clinical factors were compared between the groups, and the association between a high PVPG and posttransplant bacteremia/bacterial infections was investigated. Results The high PVPG group had a significantly higher incidence of bacteremia (46% vs 24%, P < 0.001), higher 90-day mortality rate (20% vs 7%, P = 0.002), and poorer 1-year survival (71% vs 86%, P = 0.006). The high PVPG group had a particularly higher incidence of bacteremia caused by “gut bacteria” including Enterobacteriaceae, Bacteroides spp. , and Enterococcus spp. (29% vs 12%, P = 0.003). Multivariate analysis showed that a PVPG greater than 5 mm Hg (odds ratio, 2.55; 95% confidence interval, 1.18-5.55; P = 0.017) was an independent predictor of bacteremia due to gut bacteria. Conclusions Monitoring of the PVPG is clinically meaningful for predicting patients’ prognosis. In particular, a high PVPG with a threshold of 5 mm Hg at the end of adult-to-adult living donor liver transplantation may increase gut-related bacteremia through the mechanism of bacterial translocation, resulting in early mortality.
Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3)

Abstract The creation of computational simulation experiments to inform modern biological research poses challenges to reproduce, annotate, archive, and share such experiments. Efforts such as SBML or CellML standardize the formal representation of computational models in various areas of biology. The Simulation Experiment Description Markup Language (SED-ML) describes what procedures the models are subjected to, and the details of those procedures. These standards, together with further COMBINE standards, describe models sufficiently well for the reproduction of simulation studies among users and software tools. The Simulation Experiment Description Markup Language (SED-ML) is an XML-based format that encodes, for a given simulation experiment, (i) which models to use; (ii) which modifications to apply to models before simulation; (iii) which simulation procedures to run on each model; (iv) how to post-process the data; and (v) how these results should be plotted and reported. SED-ML Level 1 Version 1 (L1V1) implemented support for the encoding of basic time course simulations. SED-ML L1V2 added support for more complex types of simulations, specifically repeated tasks and chained simulation procedures. SED-ML L1V3 extends L1V2 by means to describe which datasets and subsets thereof to use within a simulation experiment.
Urban flood modelling using geo-social intelligence

Social media is not only a way to share information among a group of people but also an emerging source of rich primary data that can be crowdsourced for good. The primary function of social media is to allow people to network near real-time, yet the repository of amassed data can also be applied to decision support systems in response to extreme weather events. In this paper, Twitter is used to crowdsource information about several monsoon periods that caused flooding in the megacity of Jakarta, Indonesia. Tweets from two previous monsoons related to flooding were collected and analysed using the hashtag # “banjir”. By analysing the relationship between the tweets and the flood events, this study aims to create “trigger metrics” of flooding based on Twitter activity. Such trigger metrics have the advantage of being able to provide a situational overview of flood conditions in near real-time, as opposed to formal government flood maps that are produced on a six to twelve hourly schedule alone. The aim is to provide continuous intelligence, rather than make decisions on outdated data gathered between extended discrete intervals.
Density- and Size-Dependent Winter Mortality and Growth of Late Chaoborus flavicans Larvae

Winter processes such as overwinter survival and growth of individuals can have wide-ranging consequences for population dynamics and communities within and across seasons. In freshwater organisms winter processes have been mainly studied in fish despite that invertebrates also have substantial impacts on lake and pond food webs. One of the major invertebrate consumers in lake and ponds is the planktonic larvae of the dipteran insect Chaoborus spec. However, while much is known about Chaoborus feeding ecology, behaviour and structuring role in food webs, its winter ecology and how it affects its populations are poorly understood. Here size- and density-dependent winter mortality and body growth of late Chaoborus flavicans larvae were quantified over naturally occurring size and density ranges in autumn and under natural winter conditions using two field enclosure experiments. Winter mortality increased with autumn density but decreased with autumn body size while winter growth rates decreased with autumn density and body sizes. There was also a density- and size-independent background mortality component. The proportion of pupae found in spring decreased strongly and exponentially with autumn density. These results may explain the commonly observed univoltine life cycle and multi-annual density fluctuations in northern Chaoborus populations. They further demonstrate the relevance of winter processes and conditions for freshwater invertebrates and ecosystems.
Phase I trial of olaparib in combination with cisplatin for the treatment of patients with advanced breast, ovarian and other solid tumors.

BACKGROUND To establish the maximum tolerated dose, determine safety/tolerability and evaluate the pharmacokinetics and preliminary efficacy of olaparib in combination with cisplatin in patients with advanced solid tumors. PATIENTS AND METHODS Patients aged ≥ 18 years with advanced solid tumors, who had progressed on standard treatment, were assigned to a treatment cohort and received oral olaparib [50-200 mg twice daily (bid); 21-day cycle] continuously or intermittently (days 1-5 or 1-10) in combination with cisplatin (60-75 mg/m(2) intravenously) on day 1 of each cycle. RESULTS Dose-limiting toxicities (DLTs) of grade 3 neutropenia (cisplatin 75 mg/m(2) with continuous olaparib 100 mg bid or 200 mg bid; n = 1 each) and grade 3 lipase elevation (cisplatin 75 mg/m(2) with olaparib 100 mg bid days 1-10 or 50 mg bid days 1-5; n = 1 each) were reported. Olaparib and cisplatin doses were subsequently reduced to 50 mg bid days 1-5 and 60 mg/m(2), respectively; no DLTs were reported for patients receiving this regimen. The most frequent grade ≥ 3 adverse events were neutropenia (16.7%), anemia (9.3%) and leucopenia (9.3%). Thirty patients (55.6%) received colony-stimulating factors for hematologic support. The overall objective response rate was 41% for patients with measurable disease, and 43% and 71% among patients with a BRCA1/2 mutation who had ovarian and breast cancer, respectively. CONCLUSIONS Olaparib in combination with cisplatin 75 mg/m(2) was not considered tolerable; intermittent olaparib (50 mg bid, days 1-5) with cisplatin 60 mg/m(2) improved tolerability. Promising antitumor activity in patients with germline BRCA1/2 mutations was observed and warrants further investigation.
Usability Testing of Two Ambulatory EHR Navigators

Summary Background Despite widespread electronic health record (EHR) adoption, poor EHR system usability continues to be a significant barrier to effective system use for end users. One key to addressing usability problems is to employ user testing and user-centered design. Objectives To understand if redesigning an EHR-based navigation tool with clinician input improved user performance and satisfaction. Methods A usability evaluation was conducted to compare two versions of a redesigned ambulatory navigator. Participants completed tasks for five patient cases using the navigators, while employing a think-aloud protocol. The tasks were based on Meaningful Use (MU) requirements. Results The version of navigator did not affect perceived workload, and time to complete tasks was longer in the redesigned navigator. A relatively small portion of navigator content was used to complete the MU-related tasks, though navigation patterns were highly variable across participants for both navigators. Preferences for EHR navigation structures appeared to be individualized. Conclusions This study demonstrates the importance of EHR usability assessments to evaluate group and individual performance of different interfaces and preferences for each design. Citation: Hultman G, Marquard J, Arsoniadis E, Mink P, Rizvi R, Ramer T, Khairat S, Fickau K, Melton GB. Usability testing of two ambulatory EHR navigators.
Differences in Level of Upper Limb Loss on Functional Impairment, Psychological Well-Being, and Substance Use

Purpose/Objective: The present study examines associations between levels of limb loss (partial hand vs. higher levels of limb loss) and eight clinically relevant measures of functional impairment, psychological well-being, and substance use. Research Method/Design: A cross-sectional, multisite study conducted at seven prosthetic rehabilitation centers across the United States. A total of 305 participants with upper limb loss (Mage = 44.28, SD = 15.45; 68.5% male; 70.5% white) completed orally administered self-assessments of pain interference, perceived activity restrictions, posttraumatic stress disorder (PTSD), depression, emotional reaction to their physical condition, problematic alcohol use, prescription medication overuse, and illicit drug use. Results: Results showed individuals with partial hand loss were at significantly greater odds of endorsing pain interference and screening positive for PTSD. Results also showed level of limb loss was significantly associated with emotional reaction to their physical condition, such that participants with partial hand loss scored significantly above those with higher level limb loss. Conclusions/Implication: The current study highlights level of limb loss as an important correlate of several functional impairments and psychological measures among individuals with upper limb loss. These findings may inform clinicians and occupational therapists in their development of treatment and rehabilitation. In particular, practitioners should be cognizant of their patient’s level of limb loss, as individuals with partial hand loss may be more susceptible to greater emotional reactions to their physical condition and increased psychological distress due to pain interfering with their work and elevated posttraumatic stress symptoms.
Interviewers' Experiences with Two Multiple Mini-Interview Scoring Methods Used for Admission to a Master of Physical Therapy Programme

Purpose: To describe participants' attitudes, beliefs, and experiences with the use of two methods of scoring the Multiple Mini-Interview (MMI) for admission to a Master of Physical Therapy program: a rank-based scoring system (RBS; used from 2007 to 2013) and a criterion-based scoring system (CBS; tested in 2014). The MMI uses short independent assessments to obtain an aggregate score of candidates' professionalism and interpersonal skills, based on behavioural questions within scenarios that assess one attribute at a time. Method: This qualitative descriptive inquiry sought to capture the experiences of 18 MMI interviewers primarily through semi-structured interviews. Interviews were transcribed verbatim, and the data were analyzed using thematic analysis. The results were validated by theoretical and investigator triangulation and member checking. Results: One major theme, scoring systems, and two sub-themes, CBS and RBS, emerged across all data. Participants unanimously agreed that CBS is a more fair and objective way to score candidates' interviews. Conclusions: CBS was well accepted by participants, and the majority preferred it over RBS. Participants felt that CBS presented a more accurate depiction of candidates.
Sympathovagal Imbalance Contributes to Prehypertension Status and Cardiovascular Risks Attributed by Insulin Resistance, Inflammation, Dyslipidemia and Oxidative Stress in First Degree Relatives of Type 2 Diabetics

Background Though cardiovascular (CV) risks are reported in first-degree relatives (FDR) of type 2 diabetics, the pathophysiological mechanisms contributing to these risks are not known. We investigated the association of sympathovagal imbalance (SVI) with CV risks in these subjects. Subjects and Methods Body mass index (BMI), basal heart rate (BHR), blood pressure (BP), rate-pressure product (RPP), spectral indices of heart rate variability (HRV), autonomic function tests, insulin resistance (HOMA-IR), lipid profile, inflammatory markers, oxidative stress (OS) marker, rennin, thyroid profile and serum electrolytes were measured and analyzed in subjects of study group (FDR of type 2 diabetics, n = 72) and control group (subjects with no family history of diabetes, n = 104). Results BMI, BP, BHR, HOMA-IR, lipid profile, inflammatory and OS markers, renin, LF-HF (ratio of low-frequency to high-frequency power of HRV, a sensitive marker of SVI) were significantly increased (p<0.0001) in study group compared to the control group. SVI in study group was due to concomitant sympathetic activation and vagal inhibition. There was significant correlation and independent contribution of markers of insulin resistance, dyslipidemia, inflammation and OS to LF-HF ratio. Multiple-regression analysis demonstrated an independent contribution of LF-HF ratio to prehypertension status (standardized beta 0.415, p<0.001) and bivariate logistic-regression showed significant prediction (OR 2.40, CI 1.128–5.326, p = 0.002) of LF-HF ratio of HRV to increased RPP, the marker of CV risk, in study group. Conclusion SVI in FDR of type 2 diabetics occurs due to sympathetic activation and vagal withdrawal. The SVI contributes to prehypertension status and CV risks caused by insulin resistance, dyslipidemia, inflammation and oxidative stress in FDR of type 2 diabetics.
Measuring intention to refer: Older adults and social service agencies

ABSTRACT The public is encouraged to engage in socially responsible behaviors such as helping people get needed services, possibly by referring them. However, referral behavior is little researched. Informed by the theory of planned behavior, intent to refer older adults in need to the Connecticut’s Gatekeeper Program (GP) which identifies elders at risk and connects them with community resources was studied and the Social Service Agency Referral Scale (SSARS) was developed. Senior center attendees, seniors who received GP training, and referrers to the state’s GP were involved. SSARS and its subscales were internally consistent (Cronbach’s α = .90, with α ≥ .733 for each subscale). SSARS was strongly correlated with a validated social responsibility scale (r = .48). Knowledge gained from the training enhanced the associated intention subscale. With little modification, SSARS could be used to elucidate similar efforts. Additionally, the process used to create SSARS could be replicated to develop related instruments.
A Five-Tissue-Layer Human Body Communication Circuit Model Tunable to Individual Characteristics

Human body communication (HBC) has several advantages over traditional wireless communications due to the high conductivity of human body. An accurate body channel model plays a vital role in optimizing the performance and power of HBC transceivers. In this paper, we present a body channel model with three distinct features. First, it takes into account all five body tissue layers resulting better accuracy; second, it adapts to different individuals with the proposed layer thickness estimation technique; third, it counts in the variation of backward coupling capacitance versus different postures. These new features significantly improve the model accuracy. Measurement results show that the proposed model achieves a maximum error of 2.21% in path loss for different human subjects.