Miracle-dz/UniFAR-FTUs huggingface dataset:
Embracing the perspectives of older adults in organising and evaluating person‐centred and integrated care

Background s Ongoing growth in health care expenditures and changing patterns in the demand for health care challenge societies worldwide. The Chronic Care Model (CCM), combined with classification for care needs based on Kaiser Permanente (KP) Triangle, may offer a suitable framework for change. The aim of the present study is to investigate the effectiveness of Embrace, a population-based model for integrated elderly care, regarding patient outcomes, service use, costs, and quality of care. Methods/Design s The CCM and the KP Triangle were translated to the Dutch setting and adapted to the full elderly population living in the community. A randomized controlled trial with balanced allocation was designed to test the effectiveness of Embrace. Eligible elderly persons are 75 years and older and enrolled with one of the participating general practitioner practices. Based on scores on the INTERMED-Elderly Self-Assessment and Groningen Frailty Indicator, participants will be stratified into one of three strata: (A) robust; (B) frail; and (C) complex care needs. Next, participants will be randomized per stratum to Embrace or care as usual. Embrace encompasses an Elderly Care Team per general practitioner practice, an Electronic Elderly Record System, decision support instruments, and a self-management support and prevention program – combined with care and support intensity levels increasing from stratum A to stratum C. Primary outcome variables are patient outcomes, service use, costs, and quality of care. Data will be collected at baseline, twelve months after starting date, and during the intervention period. Discussion s This study could provide evidence for the effectiveness of Embrace.
Prevalence of Pseudomonas sp. in Fin Fishes and their Antibiotic Susceptibility

The Gram-negative bacteria Pseudomonas sp. were enumerated in seven fresh fin fish species and their antibiotic susceptibility to 12 antibiotics assessed. Among the seven fish species, pathogenic Pseudomonas sp. were observed only in 4 species of fish and 5 isolates were confirmed as Pseudomonas sp. through biochemical tests. These five Pseudomonas strains were tested against 12 antibiotics, viz. ampicillin, gentamycin, amoxycillin, tobramycin, cotrimoxazole, cefotaxime, netillin, nalidixic acid, ceftazidime, ciprofloxacin, amikacin and nitrofurantoin. All the isolated Pseudomonas sp. were resistant to amoxycillin. Intermediate resistance was recorded against ampicillin, ceftazidime and nitrofurantoin. All the isolates were sensitive to 6 of the 12 antibiotics tested, i.e. gentamycin, tobramycin, cefotaxime, netillin, ciprofloxacin and amikacin. Antibiotic susceptibility studies revealed that fresh seafoods from Tuticorin have Pseudomonas contamination and that some strains may have antibiotic-resistant genes.
A Subunit of the Anaphase-Promoting Complex Is a Centromere-Associated Protein in Mammalian Cells

ABSTRACT Sister chromatids in early mitotic cells are held together mainly by interactions between centromeres. The separation of sister chromatids at the transition between the metaphase and the anaphase stages of mitosis depends on the anaphase-promoting complex (APC), a 20S ubiquitin-ligase complex that targets proteins for destruction. A subunit of the APC, called APC-α in Xenopus (and whose homologs are APC-1, Cut4, BIME, and Tsg24), has recently been identified and shown to be required for entry into anaphase. We now show that the mammalian APC-α homolog, Tsg24, is a centromere-associated protein. While this protein is detected only during the prophase to the anaphase stages of mitosis in Chinese hamster cells, it is constitutively associated with the centromeres in murine cells. We show that there are two forms of this protein in mammalian cells, a soluble form associated with other components of the APC and a centromere-bound form. We also show that both the Tsg24 protein and the Cdc27 protein, another APC component, are bound to isolated mitotic chromosomes. These results therefore support a model in which the APC by ubiquitination of a centromere protein regulates the sister chromatid separation process.
On the Ranking of Text Documents from Large Corpuses

Ranking text documents based on their relevance to a topic is of great importance in information retrieval. However, giving the increasingly available avalanche of digital documents, the size of collection pool from which these documents are drawn makes this task more challenging. In addition, current computing infrastructure is unable to deal with very large corpuses directly. Thus, new algorithms are needed to seek parallel solutions and utilize more processing power to solve this problem. In this paper we propose a new algorithm that partitions a large collection of documents (a corpus) into smaller corpuses that can each be handled by a single processor for the purpose of ranking. These multiple rankings are then merged together to provide a unified listing of all selected documents from the original large corpus.
Multi-label Modality Classification for Figures in Biomedical Literature

The figures found in biomedical literature are a vital part of biomedical research, education and clinical decision. The multitude of their modalities and the lack of corresponding meta-data, constitute search and information retrieval a difficult task. We present multi-label modality classification approaches for biomedical figures. In particular, we investigate using both simple and compound figures for training a multi-label model to be used for annotating either all figures, or only those predicted as compound by an initial compound figure detection model. Using data from the medical task of ImageCLEF 2016, we train our approaches with visual features and compare them with the standard approach involving compound figure separation into sub-figures. Furthermore, we present a web application for medical figure retrieval, which is based on one of our classification approaches and allows users to search for figures of PubMed Central.
Composing Problems: Deriving specifications from inconsistent requirements

In this paper we demonstrate an approach to system development based on problem decomposition and subsequent (re)composition of sub-problem specifications. We illustrate the work using Problem Frames, an approach to the decomposition of problems that relates requirements, domain properties, and machine specifications. Having decomposed a problem, one approach to solving it is through a process of composing solutions to sub-problems. In this paper, we show that by formalizing system requirements and domain properties using an Event Calculus, we can both systematically derive machine specifications and solve composition problems. We add a prohibit predicate to the event calculus, that prohibits an event over a given time period. This allows a sub-solution to be formalized in a way that provides for run-time conflict resolution. We develop our earlier work on Composition Frames, an approach to composing inconsistent requirements, by adding systematic support and factoring out domain-dependent details. Throughout the paper we use a simple case study to illustrate and validate our ideas.
Eﬃciently veriﬁable quantum advantage on near-term analog quantum simulators

Existing schemes for demonstrating quantum computational advantage are subject to various practical restrictions, including the hardness of veriﬁcation and challenges in experimental implementation. Meanwhile, analog quantum simulators have been realized in many experiments to study novel physics. In this work, we propose a quantum advantage protocol based on single-step Feynman-Kitaev veriﬁcation of an analog quantum simulation, in which the veriﬁer need only run an O ( λ 2 )-time classical computation, and the prover need only prepare O (1) samples of a history state and perform O ( λ 2 ) single-qubit measurements, for a security parameter λ . We also propose a near-term feasible strategy for honest provers and discuss potential experimental realizations.
are 24-hour motor activity patterns associated with continued rapid response to ketamine?

Purpose: This study examined the links between 24-hour activity patterns (specifically, amplitude and timing of wrist activity) and the persisting qualities of clinical antidepressant response to the glutamatergic modulator ketamine. Methods: Twenty-four-hour activity patterns were compared across 5 days of 24-hour activity rhythms in patients with major depressive disorder who displayed either a brief antidepressant response (24–48 hours), a continued antidepressant response ( . 72 hours), or no antidepressant response to ketamine. These postinfusion-response profiles were then used retrospectively to examine cohort-specific fitted parameters at baseline, postinfusion day 1 (D1), and postinfusion D3. Results: Relative to the nonresponders, the cohort experiencing a brief antidepressant response had blunted 24-hour amplitude that extended from baseline through D3 and postketamine phase advance of activity on D1 that reverted to baseline on D3. Relative to the nonresponders, the cohort experiencing a continued antidepressant response to ketamine had phase-advanced activity at both baseline and D1, as well as increased amplitude on D1 and D3. Conclusion: Taken together, the results suggest that the time course of antidepressant response to ketamine is influenced by underlying biological differences in motor activity timekeeping. These differences may provide clues that link durable mood response with the molecular machinery of the circadian system, thus leading to more effective interventions. In addition, biomarkers of preinfusion motor activity (eg, amplitude, timing) may be useful for recommending future individualized treatment interventions, to the extent that they help identify patients who may relapse quickly after treatment. vs nonresponse) and differences between baseline patterns and continuing response to ketamine. The findings show that prior to treatment, 24-hour patterns of activity might be used to predict both response and relapse patterns in certain depressed individuals. While the results are preliminary, they offer a glimpse into the potential benefits of using simple, noninvasive technologies to identify and individualize personalized therapies for mood disorders.
Design and control of a three-phase grid-connected photovoltaic system with developed maximum power point tracking

In this paper an optimum design and control of three-phase grid-connected PV system has been proposed and analyzed. Also, a developed maximum power point tracking (MPPT) controller that uses the PV array differential power to voltage (dP/dV) as an index to provide the reference voltage of maximum power point (MPP) quickly and accurately is presented. The control scheme of a three phase current-controlled space vector pulse-width modulation (SVPWM) inverter in rotating synchronous coordinate d-q with the proposed MPPT algorithm and feed-forward compensation is discussed. The PV grid-connected system controller employs multi-loop control with the filter inductor current of the inverter in the inner loop to achieve fast dynamic response and the outer loop to control dc bus voltage for MPPT. The design method provided in the paper for the controller parameters and filter proved to be very practical and effective. Both the power quality into the grid and power factor correction comply with standards IEEE 929-2000. Good agreement is obtained between simulation and experimental results which illustrated the high performance of the proposed approach.
The phylogeography of murid rodents from Tarutao National Park, Satun Province, Southern Thailand

Order Rodentia is by far the most specious of all m am als worldwide. Most of the species in this order are known to be d is ase carries, pests, seed dispersers as well as food for both humans and other wildlife. The majority of the species in order rodentia fall in the Family Muridae. The biog e raphy and taxonomic status of the members of the species in this family in Southe ast Asia (especially those from islands of the region) is still poorly known. In th is study, both an ecological and a historical biogeographic study of Murid rodents wer e conducted on five islands (Tarutao, Adang, Rawi, Yang and Butong Islands) in Tarutao National Park located off the west coast of Thailand. Four species of murid rodents were found in the Nat ion l Park, namely Rattus tanezumi, Maxomys surifer, Leopoldamys sabanus and Niviventer cremoriventer. M. surifer was found to be the most abundant (48%) and was fo und n Tarutao, Adang and Rawi Islands only. It was closel y followed by R. tanezumi (41.3%) which was widespread on all the five Island s. N. cremoriventer (2.6%) was found on Tarutao and Rawi Islands while L. sabanus (7.7%) was only found on Tarutao Island. The species-area relationship, species-isolation re lationship and nestedness of these species in Tarutao Island were assessed. The results showed that the species of murid rodents on the five Islands ha d a perfectly nested pattern of distribution with the smaller and more isolated isl ands have a subset of the species found on the larger and less isolated Islands. The species richness on the Islands was highly correlated to the area (r 2 = 0.882; df = 1,3; p = 0.018) and not correlated to the relative isolation of the Islands from the mainland (r = 0.474; df = 1,3; p = 0.198). However, the species richness was not significantly correlated to the isolation because
Incidence and Significance of Early Aneurysmal Rebleeding Before Neurosurgical or Neurological Management

Background and Purpose Rebleeding is a major cause of death and disability in aneurysmal subarachnoid hemorrhage (SAH); however, there has been no report focusing on rebleeding before hospitalization in neurosurgical or neurological institutions. The aim of this study was to clarify the incidence of prehospitalization rebleeding, its impact on the clinical course and prognosis in patients with aneurysmal SAH, and the possible factors inducing it. Methods In 273 patients who were admitted to our institution within 24 hours after the initial SAH bleeding and whose clinical course before admission could be fully evaluated, the patients’ clinical conditions and CT findings on admission, operability, prognosis, and possible factors inducing rebleeding were comparatively evaluated between the patients with and without an episode of prehospitalization rebleeding. Results Of the 273 patients, 37 (13.6%) patients suffered from 39 episodes of rebleeding in the ambulance or at the referring hospital before admission to our hospital. The peak time of rebleeding was within 2 hours (77%), in which the incidence was statistically significant compared with that occurring 2 to 8 hours after the initial SAH bleeding (P <0.01). The group experiencing rebleeding showed more severe Hunt and Hess grades on admission, higher rates of intracerebral hematoma, of intraventricular hematoma, and of subdural hematoma on CT scan on admission, less operability, and poorer prognoses with statistically significant differences compared with the group that did not experience rebleeding. Systolic arterial pressure >160 mmHg was a possible risk factor of rebleeding (odds ratio 3.1, 95% CI 1.5 to 6.8). Conclusions Rebleeding during transfer and at the referring hospital is not rare. To improve overall outcome of aneurysmal SAH, the results obtained in this study should be made available to general practitioners and the doctors devoted to emergency medicine.
Biological ecosystem traits influenced by structural changes in foundation species

Foundation species are organisms that modify or create much of the biogenic habitat in an ecosystem. These types of organisms considerably affect biological ecosystem traits because changes that affect their structure or function will affect the entire biotic community associated with that engineered environment. Mangroves are an ideal foundation species to use when exploring structural changes in foundation species and subsequent shifts in ecosystem traits. Mangrove structure can be readily manipulated and simulated, mangrove trees grow quickly, and growth forms are plastic and highly structurally complex. In three studies, I link the habitat structure provided by the red mangrove Rhizophora mangle to biological aspects of its community: 1) R. mangle marine aerial roots influence species interactions in its attendant community, 2) anthropogenic nutrient pollution increases R. mangle canopy habitat but reduces subtidal root habitat, and 3) R. mangle subtidal roots and the epibionts that restructure that root habitat influence marine mangrove communities in the Caribbean. R. mangle provides virtually the only hard substrate in a soft-sediment environment, requiring sessile benthic invertebrates to settle on mangrove roots in marine mangrove ecosystems. Mangrove root distance from the sea floor influences species interactions, indirectly determining sponge community composition on roots by denying or allowing sea star predators access to root-dwelling sponges. In coastal areas with anthropogenically enhanced nitrogen levels, this extra nitrogen fertilizes trees. Fertilized trees favor canopy expansion at the expense of marine root growth, producing less marine root biomass over time. Reduced root and root-dwelling epibiont structure shifts the abundance and diversity of attendant fish and benthic communities using this habitat. Roots and epibionts increase the capacity of marine root habitat to act as a refuge to fishes and they provide food to benthic organisms. Together, these studies provide new perspectives on how specific elements of biogenecially engineered habitat can affect entire communities. INDEX WORDS: ecosystem engineer, ecosystem services, red mangrove, marine sponge, epibiont, habitat, biodiversity, benthic ecology, Florida Keys, Bocas del Toro, Panama, Puerto Rico BIOLOGICAL ECOSYSTEM TRAITS INFLUENCED BY STRUCTURAL CHANGES IN FOUNDATION SPECIES
PLANT DIVERSITY, VEGETATION STRUCTURE AND RELATIONSHIP BETWEEN PLANT COMMUNITIES AND ENVIRONMENTAL VARIABLES IN THE AFROMONTANE FORESTS OF ETHIOPIA

Diversity patterns of vascular plant species were studied along geographical gradients in the Afromontane regions of Ethiopia. Vegetation data were sampled from five moist evergreen Afromontane forest fragments, namely Harenna (southeast), Bonga, Maji, Berhane-Kontir and Yayu (southwest). In each forest, quadrats of 20x20 m were laid along transects to collect vegetation data. The patterns of plant diversity were evaluated on the basis of species richness as the total number of species at each site and species change between and within sites and in relation to vegetation structure. Floristic analyses of five Afromontane forests altogether revealed 118 families and 653 vascular plant species; about 5% of the species were endemic. Species richness and densities vary considerably between the forest sites. The highest beta and gamma diversities were recorded in the Berhane-Kontir forest and the lowest in Bonga. The studied Afromontane forests were floristically different but the common feature of the geographically separated forests is the occurrences of wild coffee populations. Ordination of the study quadrats of the forests forms five groups based on the species composition. Moist evergreen Afromontane forests support a high density of woody plants, which, however, differ between sites. The Ethiopian moist evergreen Afromontane forests are highly threatened due to anthropogenic factors and, thus, need immediate conservation measures. It is recommended that conservation strategies should focus on multiple-sites conservation networking in order to include a range of forests in the conservation system. Key words/phrases: Alpha diversity, beta diversity, biodiversity conservation, floristic similarity, gamma diversity
A Decision Support System for Detecting the Stages of Diabetic Retinopathy by using Fundus Images

Retinal images can be classified by an improved Computer Aided Clinical and Decision Support System using Neural Network is presented in this paper. The Optic Disc features such as thickness of vessels (blood, main and branch), diameter of vein, cup area have been extracted by applying a variety of neural network techniques for classification purpose. By using SVM classifier, percentage of False Acceptance rate and False Rejection rate are noticed to be very less when compared with different classifiers. The proposed system has established 98.45% accuracy. The load of experts can be decreased considerably using automatic disease recognition system by preventing the referrals to those cases which requires instant attention. The proposed system decreases the time utilization and applies additional efforts on screening patients’ diseases turn out to be normal.
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multiagent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics. The authors emphasize foundations to create a broad and rigorous treatment of their subject, with thorough presentations of distributed problem solving, game theory, multiagent communication and learning, social choice, mechanism design, auctions, cooperative game theory, and modal logics of knowledge and belief. For each topic, basic concepts are introduced, examples are given, proofs of key results are offered, and algorithmic considerations are examined. An appendix covers background material in probability theory, classical logic, Markov decision processes and mathematical programming. Written by two of the leading researchers of this engaging field, this book will surely serve as THE reference for researchers in the fastest-growing area of computer science, and be used as a text for advanced undergraduate or graduate courses.
Defragmenting the cloud using demand-based resource allocation

Current public cloud offerings sell capacity in the form of pre-defined virtual machine (VM) configurations to their tenants. Typically this means that tenants must purchase individual VM configurations based on the peak demands of the applications, or be restricted to only scale-out applications that can share a pool of VMs. This diminishes the value proposition of moving to a public cloud as compared to server consolidation in a private virtualized datacenter, where one gets the benefits of statistical multiplexing between VMs belonging to the same or different applications. Ideally one would like to enable a cloud tenant to buy capacity in bulk and benefit from statistical multiplexing among its workloads. This requires the purchased capacity to be dynamically and transparently allocated among the tenant's VMs that may be running on different servers, even across datacenters. In this paper, we propose two novel algorithms called BPX and DBS that are able to provide the cloud customer with the abstraction of buying bulk capacity. These algorithms dynamically allocate the bulk capacity purchased by a customer between its VMs based on their individual demands and user-set importance. Our algorithms are highly scalable and are designed to work in a large-scale distributed environment. We implemented a prototype of BPX as part of VMware's management software and showed that BPX is able to closely mimic the behavior of a centralized allocator in a distributed manner.