Miracle-dz/UniFAR-FTUs huggingface dataset:
Reevaluating Volcanic Deformation Using Atmospheric Corrections: Implications for the Magmatic System of Agung Volcano, Indonesia

A major challenge in using satellite interferometry (interferometric synthetic aperture radar) for volcanic monitoring in the tropics is distinguishing volcano deformation from atmospheric noise. We reanalyzed interferometric synthetic aperture radar time series from 2007–2009 from Agung volcano, Indonesia, which had previously been used as evidence for unrest. Using uncorrected data, we find an apparent velocity of 5.0±2.7 cm/yr consistent with previous reports, but we show that this signal is consistent with predictions of atmospheric contributions derived from weather models (European Centre for Medium‐Range Weather Forecasts‐High‐Resolution). Following the correction, we find a velocity of 1.4±4.2 cm/yr and conclude that there was no significant deformation related to the inflation of a shallow magma source from 2007–2009. We discuss the implications for the inferred magma storage system at Agung and consider which other reported signals might have been wrongly attributed to deformation and should be reanalyzed.
Aerobic Training, in Combination with Listening Music, Changes Post-Exercise Cardiac Autonomic Function in Collegiate Overweight and Obese Individuals

Background: Aerobic exercise and relaxing music induce parasympathetic activity over the heart. The combined effect of the two interventions was shown to reduce heart rate (HR), rate of perceived exertion (RPE), and anxiety levels. Objectives: The purpose of the study was to evaluate the effect of aerobic exercise along with music vs. only aerobic exercise, on the autonomic function of the heart during recovery in collegiate overweight and obese individuals. Methods: Thirty-two collegiate overweight and obese individuals were recruited based on inclusion and exclusion criteria. Random allocation of participants was done to the aerobic exercise group (n = 16) and aerobic exercise plus music group (n = 16). Each group performed 30 minutes/session, six times/week for four weeks. Pre and post measures of body composition, exercise HR, RPE, square root of mean squared difference between adjacent R-R intervals (RMSSD), interval differences between of adjacent R-R intervals > 50 ms derived from difference between consecutive RR intervals (NN50), low-frequency (LF), high frequency (HF), and LF/HF measures of heart rate variability (HRV) during recovery were recorded. Results: RMSSD (P = 0.003) and LF (P = 0.009) scores showed a significant difference at baseline. A significant time effect was found to be in HR (P < 0.001), RPE (< 0.001), NN50 (P = 0.001), HF (P = 0.016) and LF/HF score (P < 0.001) of HRV indicating difference between pre and post measures, while no difference was found in RMSSD and LF score. A significant group effect was found to be in HR (P = 0.016) and LF/HF score (P = 0.008), indicating the difference between the two groups. Conclusions: Regular aerobic exercise, in conjunction with relaxing music, appears to confer a beneficial effect on the autonomic modulation during the post-exercise recovery period.
The Impact of a Progressive Multidisciplinary Program for Trauma in the Elderly: Outcomes were impacted at the Extremes of Age

C l i n M e d International Library Citation: Adam N, Skinner R, Dhillon S, Martin M (2015) The Impact of a Progressive Multidisciplinary Program for Trauma in the Elderly: Outcomes were impacted at the Extremes of Age. Trauma Cases Rev 1:013 Received: August 27, 2015: Accepted: November 03, 2015: Published: November 05, 2015 Copyright: © 2015 Adam N. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Adam et al. Trauma Cases Rev 2015, 1:3 ISSN: 2469-5777
Pendidikan gizi dan pesan gizi melalui short message service terhadap pengetahuan, perilaku, dan kepatuhan ibu hamil minum tablet besi

Background: Low compliance as one cause of high prevalence of anemia in Indonesia is mainly due to forgetfulness. Nutrition education and short message service (SMS) are expected to become media to send nutrition message and remind pregnant mothers of taking iron tablet. Objective: To identify impact of nutrition education and nutrition message through SMS to knowledge, behavior and compliance of pregnant mothers with taking iron tablet. Method: The study was a quasi experiment that used pre and post test control/non equivalent control group design involving 3 groups of experiment, i.e. nutrition education only, nutrition education and SMS, and control as comparator. Subject of the study consisted of 121 pregnant mothers. The study was carried out from November 2009 to April 2010 at Palangka Raya Municipality in Pahandut, Kayon and Tangkiling Health Centers. Statistical analysis was performed by using paired t-test, ANOVA, Tukey test, and multivariate test. Results: Pregnant mothers that got nutrition education and SMS intervention significantly improved their knowledge and behavior (p<0.05). Pregnant mothers that got nutrition education and SMS had knowledge 18 point higher (coef=18.26), behavior 4 point better (coef=4.07) and probability 4 times more compliant than the control group (OR=3.79; p=0.03). Nutrition education and SMS intervention could increase compliance and significantly affect increase of hemoglobin (Hb) level up to 1.3g/dl (p<0.05). Increase of Hb level went in line with increase of compliance (dose-response) in pregnant mothers with preliminary Hb level <11g/dl. Meanwhile in pregnant mothers with preliminary Hb level ≥11g/dl, increase of Hb level was statistically significant when compliance reached ≥90%. Conclusion: Pregnant mothers that got nutrition education and SMS had better knowledge, behavior and compliance with taking iron tablet than those that only got nutrition education and the control group. High compliance could significantly increase Hb level.
Prediction of 8-state protein secondary structures by 1D-Inception and BD-LSTM

Protein secondary structure is crucial to create an information bridge between the primary structure and the tertiary (3D) structure. Precise prediction of 8-state protein secondary structure (PSS) significantly utilized in the structural and functional analysis of proteins in bioinformatics. In this recent period, deep learning techniques have been applied in this research area and raise the Q8 accuracy remarkably. Nevertheless, from a theoretical standpoint, there still lots of room for improvement, specifically in 8-state (Q8) protein secondary structure prediction. In this paper, we presented two deep learning architecture, namely 1D-Inception and BD-LSTM, to improve the performance of 8-classes PSS prediction. The input of these two architectures is a carefully constructed feature matrix from the sequence features and profile features of the proteins. Firstly, 1D-Inception is a Deep convolutional neural network-based approach that was inspired by the InceptionV3 model and containing three inception modules. Secondly, BD-LSTM is a recurrent neural network model which including bidirectional LSTM layers. Our proposed 1D-Inception method achieved 76.65%, 71.18%, 76.86%, and 74.07% Q8 accuracy respectively on benchmark CullPdb6133, CB513, CASP10, and CASP11 datasets. Moreover, BD-LSTM acquired 74.71%, 69.49%, 74.07%, and 72.37% state-8 accuracy after evaluated on CullPdb6133, CB513, CASP10, and CASP11 datasets, respectively. Both these architectures enable the efficient processing of local and global interdependencies between amino acids to make an accurate prediction of each class is very beneficial in the deep neural network. To the best of our knowledge, experiment results of the 1D-Inception model demonstrate that it outperformed all the state-of-art methods on the benchmark CullPdb6133, CB513, and CASP10 datasets.
Improving Residents’ Quality of Life Through Sustainable Experiential Mega-Events: High- Versus Low-Context Cultures

Public managers need to improve city residents’ quality of life as a first step to boost its tourism development. Marketing strategies can play a useful role, as the city marketing theory states. The present article aims to compare the efficacy of two marketing strategies embedded in a public mega-event: (a) an experiential strategy, based on emotions encourage during the event and (b) a green strategy, based on green actions linked to this event. Furthermore, following Hall’s theory of cultural determination, this article aims to compare these strategies’ efficacy in two alternative cultures: a high-context (Mexico) and a low-context culture (Spain). We contacted 202 and 204 residents in Mexico and Spain during the event. In low-context cultures (Spain), an experiential marketing strategy achieves greater results than a green one; conversely, in high-context cultures (Mexico), a green marketing strategy is more effective.
What’s in a Name? A Historical Analysis of Seneca College’s Journey Towards Increased Institutional Differentiation within the Ontario Postsecondary System 2001-2012

Pursuant to Ontario’s Postsecondary Education Choice and Excellence (PECE) Act, 2000 and the Ontario Colleges of Applied Arts and Technology Act, 2002, the then Progressive Conservative provincial government announced in August, 2002, that the “doors were open” for colleges to submit proposals for formal differentiated status. In November, 2002, in response to this invitation, Seneca College proposed a business case and strategy for formal differentiated status. Seneca’s resultant, approved “Differentiated College Mandate Accountability Agreement” committed the college to a differentiation vision which included an expanded academic mandate, pathways and partnerships with other institutions, increased applied research and an “on again, off again” pursuit of polytechnic status. Using a historical case analysis, Seneca’s intent and rationale in pursuing this vision during the study period are examined in the context of Ontario’s broader postsecondary system design.
An Eocene Bunodont South American Native Ungulate (Didolodontidae) from the Lumbrera Formation, Salta Province, Argentina

Abstract. The extinct South American native ungulates are widely known as a particular evolutionary experiment of mammalian herbivory. Among their representatives, forms with bunodont dentition have received little attention, being usually regarded as primitive and placed in the paraphyletic order “Condylarthra”. Here we describe a new Didolodontidae Saltaodus sirolli gen. et sp. nov. from the Eocene of Lumbrera Formation (Santa Bárbara Subgroup) near San Antonio de los Cobres, Salta Province, Argentina. Saltaodus is represented by a small left dentary with a canine alveolus and a brachydont dentition, with p1-2, the roots of p3 and p4-m2. The jaw is broken mesial to the canine alveolus, which is circular and mesially projected. There is only one root for p1 and p2. The specimen has some similarity with North American archaic ungulates but more resembles South American bunodont ungulates. In contrast to Kollpaniinae, Saltaodus presents more separate, slender and higher cusps with well-developed cristids; the talonid basin is wide and not filled by the base of the hypoconid or the distal wall of the metaconid. Several derived character states as compared to Kollpaniinae, such as the more molarized p4, with a clear difference between trigonid and talonid, molars with a talonid equal to or wider than the trigonid, and well separated hypoconid, hypoconulid and entoconid, allow the placement of Saltaodus among Didolodontidae. Saltaodus represents one of the few known small didolodontids (< 5 kg) from the lower latitudes of South America.
Finding the Equilibrium for Continuous Constrained Markov Games Under the Average Criteria

For Markov game with cost constraints and continuous actions, the local constraint of single-decision maker is the interacted result of joint actions taken by the other decision makers, and is usually eliminated by imposing penalties on the undesired states and policies, which may suffer from the failure of penalties as the game policy changes and the nonexistence of the mixed policies. In this article, a framework of the actor–critic deep neural network is utilized to solve this problem. The actor network establishes the continuous pure policy to replace the mixed policy, and the critic network converts the global interacted results into a local performance potential. The local search for a constrained equilibrium average objective is converted into an unconstrained minimax optimization. Based on the equivalent conversion, the optimality function of the local action is given to evaluate the influence of the single decision maker's action on the global system. The proposed algorithm simultaneously iterates the local constraint multiplier and policy along opposite directions, and a typical congestion control numerical result in the emerging Internet of Things shows the efficiency.
Prostate cancer screening and active surveillance : can we increase survival without doing too much harm?

This thesis set out to provide further in-depth information on prostate cancer screening and active surveillance by addressing two main questions: “What are the mechanisms that lead to the observed reduction in prostate cancer mortality? ” (part 1, screening) and “Are we able to selectively identify men with aggressive disease? ” (part 2, active surveillance). To address these two main questions several sub-questions were studied.
EVALUASI SISTEM INFORMASI MANAJEMEN RUMAH SAKIT (SIMRS) DENGAN METODE HOT FIT DI RSUD ANDI MAKKASAU KOTA PAREPARE

Sistem informasi rumah sakit (SIMRS) merupakan suatu tatanan yang berkaitan dengan pengumpulan data, pengolahan data, penyajian informasi, analisis data dan penyimpulan informasi serta penyampaian informasi yang dibutuhkan untuk kegiatan rumah sakit. Evaluasi suatu sistem informasi juga merupakan suatu usaha nyata untuk mengetahui kondisi sebenarnya suatu penyelenggaraan sistem informasi. Dengan evaluasi tersebut, capaian kegiatan penyelenggaraan suatu sistem informasi dapat diketahui dan tindakan lebih lanjut dapat direncanakan untuk memperbaiki kinerja penerapannya.Model analisis HOT- Fit menempatkan komponen penting dalam sistem informasi yakni manusia (Human), organisasi (Organization), teknologi (Technology) dan manfaat (Net Benefit). Tujuan dari penelitian ini adalah Untuk mengetahui bagaimana mengevaluasi sistem informasi manajemen rumah sakit (SIMRS) dengan metode HOT-Fit di RSUD Andi Makkasau Kota Parepare.Jenis penelitian yang digunakan adalah jenis penelitian kualitatif dengan pendekatan deskriptif dengan wawancara terstruktur (structured of interview). Instrument dalam penelitian yang digunakan adalah pedoman wawancara, alat perekam alat tuli kamera. Penelitian informan menggunakan metode purposive sampling dan diperoleh informan sebanyak 12 orang. Teknik pengumpulan data dilakukan dengan wawancara mendalam dan observasi dengan analisis data menggunakan metode triangulasi. Hasil penelitian menunjukkan bahwa penelitian ini menghasilkan simpulan SIMRS Andi Makkasau Kota Parepare dikatagorikan baik karena sudah dapat memenuhi indikator dari aspek manusia, dari aspek organisasi juga sudah cukup baik sudah dapat memenuhi indikator dari aspek organisasi, dari aspek teknologi juga sudah cukup baik sudah dapat memenuhi indikator dari teknologi, ditinjau dari aspek manfaat juga cukup bermanfaat.
Tide and habitat features affect salt marsh songbird nest survival in northeast Florida, USA

Tidal salt marshes face numerous pressures that threaten their ecological integrity, and many salt marsh vertebrates have exhibited declines concomitant with the degradation of salt marsh habitats. We studied nest survival of MacGillivray’s seaside sparrow Ammospiza maritima macgillivraii and Worthington’s marsh wren Cistothorus palustris griseus in smooth cordgrass Spartina alterniflora and black needlerush Juncus roemerianus dominated salt marshes in northeast Florida, USA, during 2015−2017 to understand why both species have undergone range contractions. We evaluated the effects of tides, habitat features, and weather on nest survival. The probability of a nest surviving from laying to fledging young was low for both species (seaside sparrow: 0.03, 95% CI: 0.00, 0.10; marsh wren: 0.10, 95% CI: 0.04, 0.18), suggesting that nest survival may limit population growth. The most substantial threat to marsh wren and seaside sparrow nest survival was from greater than normal high tides. However, there was limited evidence of direct nest loss due to flooding. An analysis of only fledged and depredated nests suggests that higher tides influenced nest survival by increasing nest predation, substantially so for marsh wrens. Other factors negatively associated with marsh wren nest survival, albeit less strongly, included precipitation and the amount of black needlerush at and within 50 m of the nest. The effect of tide height on nest survival suggests that salt marsh birds in northeast Florida are vulnerable to continued sea-level rise, which is exacerbated by upland development that will hinder marsh migration. Monitoring and protecting northeast Florida’s high-elevation, cordgrass-dominated marshes should be a priority.
Biological management of allelopathic plant Parthenium sp.

Abstract Globally, weeds have been considered as a major threat and act as a hindrance to crop production, even though the farmers put tremendous efforts to eliminate the weeds to get a better yield. Weeds stayed a steady threat to productivity and manageability of soil and environment, regardless of many years of research and advances in management practices. Parthenium hysterophorus is widely studied all around the world including India as a noxious and an unsafe weed responsible for many health risks in humans and animals. Many experts employed different biological methods using insects, beetle, microorganisms, and certain pathogens, which caused a broad dispersal damage to P. hysterophorus. Biorational weed control is also offered by allelopathy through the production of allelochemicals from the leaf, blossoms, grains, nuts, bud, berry, trunk, and organization of living or decaying plant substance. Allelopathy is the most realistic method to control the weeds as well as different plants. Lately, there has been a proliferation of curiosity to research on plant allelopathy to control weeds in agro-ecosystems. The successful management of this weed can only be achieved by an integrated approach with allelochemicals as a crucial aspect.
The use of Imatinib mesylate in Nigerians with chronic myeloid leukemia

Methods: From August 2003 to August 2007, 98 consecutive, consenting patients, 56 (57%) males and 42 (43%) females, median age 36 years (range, 11-65 years) diagnosed with CML, irrespective of disease phase received Imatinib at a dose of 300-600mg/day at the OAU Teaching Hospitals, Nigeria. Response to therapy was assessed by clinical, haematological and cytogenetic parameters. Blood counts were checked every two weeks in the first three months of therapy. Chromosome analysis was repeated sixth monthly. Overall survival (OS) and frequency of complete or major cytogenetic remission (CCR/MCR) were evaluated.
Geometry-Based Analysis of Optimal Handover Parameters for Self-Organizing Networks

Handover failure and ping-pongs are the common thorny issues in modern mobile networks. While handover failures caused by radio link failure (RLF) significantly reduces the reliability of network operation, ping-pongs drastically waste signaling resources. In the upcoming fifth-generation (5G) networks especially, a complex deployment of small cells can exacerbate the two problems, even though the network can be integrated with a self-organizing network (SON), which is an automation-based solution. Due to the coupling of RLFs and ping-pongs as explained in the literature, it is difficult to analyze handovers and minimize both RLFs and ping-pongs simultaneously. In this paper, we model a handover procedure with geometric elements (Apollonian circles and the straight line), and analyze handover performance. The analysis provides an optimal handover setting for minimizing both RLFs and ping-pongs together, whereas previous works only considered trade-offs between them. We show that our analysis accurately estimates the optimal setting by comparing it with an NS-3 simulation. From the analysis, different environments can require different optimal values: fading (as well as interference) limit the optimal values; user speed has a scaling impact; and time-to-trigger has a shifting effect.
An Artificial Neural Network Assisted Optimization System for Analog Design Space Exploration

This article presents a new analog circuit optimization system for automated sizing of analog integrated circuits. It consists of a genetic algorithm (GA)-based global optimization engine and an artificial neural network (ANN)-based local optimization engine. The key new idea is to use parallel computation to train ANN models for design space neighborhoods thus the local minimum search (LMS) can have a much faster search speed. For the GA-based global optimization, circuit performances are calculated by parallel SPICE simulations. For the LMS, circuit performance data are derived from ANN model predictions instead of SPICE simulations. Since the most time for an ANN-based LMS is spent on SPICE calls which can be run in parallel, the LMS process can also exploit the multiple core configuration of a modern computational server in addition to the GA global search. The fully parallelized optimization system is deployed to design a two-stage rail-to-rail operational amplifier and a fifth-order active-RC Chebyshev complex band-pass filter. The experimental results show that the proposed method provides about four times speed enhancement and comparable results compared with traditional approaches employing the same parallel global optimization but sequential SPICE calls during LMS.
Use of a Handoff Communication Tool Between Certified Registered Nurse Anesthetists, Anesthesiologists, and Post Anesthesia Care Unit Nurses

ii ACKNOWLEDGMENTS . iv DEDICATION . v LIST OF TABLES . ix LIST OF ILLUSTRATIONS . xi LIST OF ABBREVIATIONS . 1 CHAPTER I INTRODUCTION . 1 Problem Statement . 2 Clinical Question . 3 Background and Significance . 3 Theoretical Framework . 4 Review of Related Literature . 8 Communication . 9 Common Barriers to Effective Communication . 12 Safety . 14 Handoff . 16 Unstructured Handoff . 17 Mortality and Morbidity . 18 Developing a Structured Handoff Tool. 19 vii Cost Effectiveness . 22 CHAPTER II – METHODOLOGY. 25 Setting and Target Popluation . 25 Detailed Procedure . 26 Evaluation . 30 Human Subject Protection . 31 Limitations . 31 CHAPTER III RESULTS . 33 Analysis of Data . 33 Presentation of Findings . 33 Discussion of Findings . 44 CHAPTER IV – SUMMARY . 51 Barriers . 53 Implications of Nursing Practice . 53 Conclusion . 54 APPENDIX A – Review of Related Literature Matrix . 56 APPENDIX B Email Correspondence . 71 APPENDIX C – Handoff Checklist . 73 APPENDIX D – Condensed Version of Tool . 76 APPENDIX E – Post Handoff Tool Survey . 77 viii APPENDIX F – Institutional Review Board Approval . 78 APPENDIX G – Letter of Support. 79 APPENDIX H – Participants Comments . 80 APPENDIX I – DNP Essentials . 81 REFERENCES . 83