Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of a micro entrepreneur-based community health delivery program on under-five mortality in Uganda: a cluster-randomized controlled trial

1 The trial was approved by the ethic committee of Fondazione IRCSS (D2291696), by the Harvard IRB (protocol P20141-101), by the Uganda National Council for Science and Technology (UNCST) (SS3195), and by the IRB Office of the Joint Clinical Research Center (JCRC) in Uganda. The trial was registered in the Pan African Clinical Trials Registry (PACTR201308000601715) and in the American Economic Association’s registry for randomized controlled trials (AEARCTR-0000530).
Title: Features and management of men with pN1 cM0 prostate cancer after radical prostatectomy and lymphadenectomy: a systematic review of population-based evidence.

: Introduction: Up to 15% of prostate cancer (PCa) patients harbour lymph node invasion (pN+) at radical prostatectomy (RP) plus lymph node dissection. Nonetheless, the optimal management strategy in this setting is not well characterized so far. We aimed to investigate the features and optimal management of pN+ cM0 PCa according to registry based studies. Methods : We performed a systematic review in January 2020 following the PRISMA criteria - Web (Embase, Medline and others) and manual search. Results: Overall, n=13 studies were identified. In population-based studies, the pN+ prevalence was 2.6% (25,114/954,416). Management strategies comprised 13,536 men undergoing observation, 11,149 adjuvant androgen deprivation therapy (aADT), 7,075 adjuvant radiotherapy (aRT) +aADT and 705 aRT. Baseline features showed aggressive PCa in the majority of men (53.1% Gleason≥8; 85.1% pT≥3; 50.1% PSM). At a median follow -up ranging from 48 to 134 months, Cancer-related death was 5% and overall mortality 16.6%. aADT and aRT alone had no
Revisiting Pauly et al. 1998

Conservation, Ecology March 4, 2021July 31, 2021 In a paper published in Science (h ps://science.sciencemag.org/content/279/5352/860.abstract) in 1998, Daniel Pauly (h ps://en.wikipedia.org/wiki/Daniel_Pauly), Villy Christensen (h ps://oceans.ubc.ca/villychristensen/), Johanne Dalsgaard (h ps://www.researchgate.net/scientific-contributions/J-Dalsgaard-82233416), Rainer Froese (h ps://en.wikipedia.org/wiki/Rainer_Froese) and Francisco Torres Jr. (h ps://ph.linkedin.com/in/francisco-torres-jr-6513a614), using the Food and Agriculture Organisation’s (FAO’s) global fisheries catch data, showed that the mean trophic level had declined over the period of 1950 to 1994. In other words, fisheries, over this period, was moving from catching larger fish at the top of the food chain to smaller fish at lower levels of the food chain. Pauly and colleagues called this phenomenon “fishing down the food web”, and over the last 20+ years have continued to study the changes in fisheries and marine biodiversity across the world. Twenty-two years after the paper was published, I spoke to Daniel Pauly about his motivation to carry out the analysis presented in this paper, his memories of the time when this work was done, the paper’s reception in academia and the popular press, and what we have learnt since about fishing down food webs.
A Sustainable Trafﬁc Management System for Smart Cities

Rapid vehicle growth has generated a variety of problems for trafﬁc management administrations in terms of trafﬁc congestion, pothole, air pollution, accidents, and rut formation. This is due to the expanding size of cities and rising population mobility. This aim of this research to develop a sustainable and economical smart Trafﬁc management system, which provide social and sustainable development using technology to provide an economical solution. Trafﬁc speed can be predicted considering the pavement condition of the road using simulation. This study provides us a sustainable and economical procedure for trafﬁc management system in smart cities. We have performed this research work using blender for simulation and modeling in which we have used a lidar sensor and raspberry pi4 to get the data and transferred it to the laptop using a SQL server. This system helps straightforward, practical, and reasonably priced technology to reduce the amount of human labor required to locate potholes, which will reduce accidents brought on by trafﬁc jam conditions.
Effect of mass transfer in dry anaerobic digestion systems

The effect of the total solid content on anaerobic digestion performance was experimentally investigated (TS ranging from 10 to 35%). An inhibition of methanogenic step was observed for high solid content (>30% TS). Anaerobic Digestion Model No. 1 (ADM1) was then used to describe the experimental data and the effects of hydrolysis and liquid/gas mass transfer ( kla ) were more particularly investigated. From the model, it was identified that a limited overall mass transfer can clearly affect the methane production and can result in a considerably lower cumulative methane production. Based on this observation, an additional experiment was conducted in order to confirm the key role of liquid/gas mass transfer on the inhibition of the methanogenesis step for high-solid contents.
Uniformly Least Powerful Tests of Market Efficiency

Defenders of market efficiency argue that anomalies involving long-term abnormal returns are not robust to alternative methodologies. We argue that because various methodologies use different weighting schemes, the magnitude of abnormal returns should differ, and in a predictable manner. Three problems are identified that cause low power in value-weighted three-factor time series regressions when abnormal returns following managerial actions are being estimated. We illustrate the sensitivities in the context of the new issues puzzle as well as with simulations. More generally, multifactor models as currently used do not, and cannot, test market efficiency. JEL classification: G12; G14
Uniformly least powerful tests of market e$ciency

Defenders of market e$ciency argue that anomalies involving long-term abnormal returns are not robust to alternative methodologies. We argue that because various methodologies use di! erent weighting schemes, the magnitude of abnormal returns should di! er, and in a predictable manner. Three problems are identi"ed that cause low power in value-weighted three-factor time series regressions when abnormal returns following managerial actions are being estimated. We illustrate the sensitivities in the context of the new issues puzzle as well as with simulations. More generally, multifactor models as currently used do not, and cannot, test market e$ciency. ( 2000 Elsevier Science S.A. All rights reserved. JEL classixcation: G12; G14
Grammar‐based fuzzing of data integration parsers in computational materials science

Computational materials science (CMS) focuses on in silico experiments to compute the properties of known and novel materials, where many software packages are used in the community. The NOMAD Laboratory (Draxl C, Scheffler) offers to store the input and output files in its FAIR data repository. Since the file formats of these software packages are non‐standardized, parsers are used to provide the results in a normalized format.
Surface modification of Venus as inferred from Magellan observations of plains

In Sedna Planitia, clear stratigraphic relations can be discerned among volcanic flow units. Young flows exhibit SAR specific cross section values similar to fresh terrestrial basalt flows, whereas older flows exhibit backscatter signatures similar to degraded terrestrial basalt flows. Total degradation of ∼1 m depth over ∼0.6 b.y. is inferred for the Sedna area from radar signatures, impact crater abundances, and ejecta superposition relations with respect to volcanic flow units. Analyses of parabolic ejecta deposits associated with the crater Stuart imply that the material is typically centimeters in thickness. A relatively small fraction (∼10%) of Venusian impact craters exhibit prominent parabolic ejecta deposits. These craters are interpreted to be relatively young and parabolic deposits are interpreted to be dispersed by aeolian activity over at least tens of millions of years. The inferred dispersal rate (<10−3 μm/yr) is too low to produce the degradation of flows at Sedna Planitia, and it is concluded that the dominant flow modification process is in situ weathering. In addition, elevation dependent weathering is inferred in western Ovda Regio, where plains above 6054 km radius have enhanced reflection coefficients as compared to adjacent plains at lower elevations. The inferred rate of generation of high reflection coefficient materials is no more than ∼10−2μm/yr, based on the inability of aeolian activity to cover high-reflectivity surfaces with normal reflection coefficient materials and the ubiquitous nature of high-reflectivity surfaces at high elevations. Surface modification rates on Venus are orders of magnitude lower than on Earth. Venusian rates are also much lower than the inferred rate of aeolian dispersal of friable materials on Mars but are comparable to the estimated rate of weathering and erosion of Martian bedrock. Low surface modification rates imply that it will be possible to determine regional-scale age variations on Venus based on the degree of preservation of volcanic landforms and microwave signatures.
Self-Hosted Quantum Program Optimization

ing hardware architecture: These optimizations also abstract away the programmers need for full and explicit knowledge of the quantum computing hardware. This makes programming for a quantum computer more accessible to those who may not need to know about the hardware. This abstraction allows quantum programs to be written as a virtual or logical design, which is later mapped to physical hardware by our system. Solving hard satisfiability problems: Satisfiability (abbreviated SAT) is the problem of finding an assignment to a set of variables that makes a formula true (see subsection 2.2.4 for more information). Runtime for general Boolean SAT problems on classical computers runs in exponential time (O(2)). On a quantum computer, we can get a quadratic speedup for
IS THERE A GOOD CORRELATION OF MAGNETIC RESONANCE IMAGING AND CRANIAL ULTRASOUND IN BRAIN IMAGING IN PRETERM INFANTS AT TERM AGE

ECHO, electroencephalogram and brain MRI, along with calculation of Bicetre severity score at admission. Embolization procedures were analysed based on timing and presence of periand post-procedural complications. Long-term survivors had standard neurocognitive assessment. For the purpose of outcome analysis we divided patients into two period cohorts: 2001-2010 and 2011-2020. Overall fourteen out-born neonates were diagnosed with chorioidal VGAM. Bicetre neonatal score were similar in both chronological sub-groups. First cohort comprised six neonates. Prenatal diagnosis of VGAM was obtained in one patient. Four newborns died owing to refractory heart failure without neuroembolization procedure. Two survivors underwent the intervention at fourth and eleventh day, respectively. Post-procedural analysis revealed minor intraventricular bleeding and neonatal seizures in one patient that eventually has been lost to follow up. Other survivor developed ischaemic lesions and hydrocephalus. Ventriculo-peritoneal drainage was performed. Severe neurodevelopmental delay and visual impairment were observed on follow-up. Second cohort comprised eight neonates, all prenatally diagnosed. Three patients died: at the age of five (intra-procedural rupture of aneurism), fifteen (multi-organ failure), and 205 days (pulmonary hypertension and congestive heart failure). All infants undergone the first embolization within the first ten days of life. Satisfactory immediate outcome including control of cardiac failure was achieved in six patients. Post-procedural analysis revealed minor intraventricular bleeding (n=2), ventriculomegaly (n=2), presence of ischaemic lesions (n=2), neonatal seizures (n=2) and abnormal encephalogram (n=2). Normal neurodevelopment was observed in four, and mild neuro-developmental delay was observed in one patient on follow-up. Given a small sample size it is difficult to quantify the difference between the two groups in a statistically relevant manner. However, the observed difference in survival and longterm outcome between the cohorts are most probably related to an overall improvement of prenatal diagnosis, intensive care management and embolization techniques. Early neuroembolization may decrease the risk of refractory cardiac failure and improve the long-term neurocognitive outcome.
Image Transformer (GIT): unsupervised continuous image generative and transformable model for [¹²³I]FP CIT SPECT images( Dissertation_全文 )

Objective: Recently, generative adversarial networks began to be actively studied in the field of medical imaging. These models are used for augmenting the variation of images to improve the accuracy of computer-aided diagnosis. In this paper, we propose an alternative new image generative model based on transformer decoder blocks and verify the performance of our model in generating SPECT images that have characteristics of Parkinson’s disease patients. Methods: Firstly, we proposed a new model architecture that is based on a transformer decoder block and is extended to generate slice images. From a few superior slices of 3D volume, our model generates the rest of the inferior slices sequentially. Our model was trained by using [ 123 I]FP-CIT SPECT images of Parkinson's disease patients that originated from the Parkinson’s Progression Marker Initiative database. Pixel values of SPECT images were normalized by the specific/nonspecific binding ratio (SNBR). After training the model, we generated [ 123 I]FP-CIT SPECT images. The transformation of images of the healthy control case SPECT images into PD-like images was also performed. Generated images were visually inspected and evaluated using the mean absolute value and asymmetric index. Results: Our model was successfully generated and transformed into PD-like SPECT images. The mean absolute SNBR was mostly less than 0.15 in absolute value. The variation of obtained dataset images was confirmed by the analysis of the asymmetric index.
Analyzing the Emerging Trends of Digital Literacy Among Muslim Students Zahid Hussain

The purpose of this investigation was to gain a comprehensive understanding of current technologies among Islamic university students so that they couldmakewiseandstableuseoftheirliteracyonline.Wethinkthatstudents’abil-itywithICTisdirectlyrelatedtohowwelltheyusedigitaltechnologyresources. Wedecidedtobaseourstudyondatadiscoveriesthathavebeenpublishedina numberofjournalsthatareaccessiblethroughtheGoogleScholarinformation webbrowserandwerepublishedbetween2010aswellas2021inordertomake itsimpleforreaderstounderstand. Toﬁndaccurateandtrustworthydata,we applyanalyticalresearchunderphenomenologicalresearch.Forinstance,dur-ingthedataevaluationprocess,weexamine,assess,andanalyticallyanalyzethe resultsbeforecomingupwithconclusionsthataddressthestudy’sresearchques-tions.Oneconclusionisthatstudentsareabletoaccesslearningmaterialsusing theirunderstandingofonlinemediatocomprehenddigitalliteracy.Individuals hadalsogottrainingandthenusedinternetdevicesresponsibly,resultingintheir favourableandsmartuseofdigitaltechnologyasanextrareferenceresourcefor appropriateandsensiblespeech,sports,andentertainmentcomponents.Future researchshouldbeabletobeneﬁtfromtheseresearchresults.
On the correction of the probe positioning errors in a non-redundant bi-polar near to far-field transformation

─ An effective procedure allowing one to correct the positioning errors in a bi-polar near to farfield transformation (NTFFT) technique, that requires a minimum number of near-field (NF) data, has been here assessed from the experimental viewpoint. This NTFFT utilizes an optimal sampling interpolation formula, got by considering the antenna under test as contained in an oblate spheroid and applying the non-redundant sampling representation to the probe measured voltage, to precisely determine the NF data needed by the standard NTFFT with plane-rectangular scan from the voltages at the points prescribed by the sampling representation. These voltages are not known and are accurately recovered from the positioning errors affected measured ones by applying an efficient singular value decomposition based
Stigma and Social Control

Social interactions provide a set of incentives for regulating individual behavior. Chief among these is stigma, the status loss and discrimination that results from the display of stigmatized attributes or behaviors. The stigmatization of behavior is the enforcement mechanism behind social norms. This paper models the incentive effects of stigmatization in the context of undertaking criminal acts. Stigma is a flow cost of uncertain duration which varies negatively with the number of stigmatized individuals. Criminal opportunities arrive randomly and an equilibrium model describes the conditions under which each individual chooses the behavior that, if detected, is stigmatized. The comparative static analysis of stigma costs differs from that of conventional penalties. One surprising result with important policy implications is that stigma costs of long duration will lead to increased crime rates.
Contextual Coherence in the Visual Imagination: An Interdisciplinary Analysis by Michael O. Vertolli A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Masters

This thesis describes an analysis of contextual coherence in the visual imagination using three disciplines: cognition, computation, and neuroscience. I examine the topic by augmenting a model of the visual imagination, SOILIE, with an improved version of their top-n model of coherence. I show that the augmented, serial local hill search model, Coherencer, is an improvement over the original model using a new, quantitative evaluation. I then demonstrate that Coherencer is better than a competitive model from the literature on general coherence; it is better than the original top-n model across different compression representations, mainly cooccurrence probabilities and holographic vectors; and it is consistent with contemporary, neuroscientific research on the hippocampus, specifically Scene Construction Theory. CONTEXTUAL COHERENCE IN THE VISUAL IMAGINATION iii
Super Connectivity of Erdős-Rényi Graphs

The super connectivity κ ′ ( G ) of a graph G is the minimum cardinality of vertices, if any, whose deletion results in a disconnected graph that contains no isolated vertex. G is said to be r-super connected if κ ′ ( G ) ≥ r . In this note, we establish some asymptotic almost sure results on r-super connectedness for classical Erdős–Rényi random graphs as the number of nodes tends to infinity. The known results for r-connectedness are extended to r-super connectedness by pairing off vertices and estimating the probability of disconnecting the graph that one gets by identifying the two vertices of each pair.
Long-term sequelae of Pneumococcal Sepsis in children: a systematic review

Background: Long-term sequelae associated with pneumococcal sepsis (PS) in pediatric patients in existing literature is currently unclear. Aim: To review the evidence on sequelae and prognostic factors associated with PS among pediatric patients. Method: We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. We screened six databases from their inception to January 15, 2021. Study population were neonates, infants, children and adolescents less than 18 years old with suspected or confirmed PS disease. Outcomes included sequelae types, prognostic factors, pooled death estimate and length of hospital stay (LOS) for survivors and deceased patients. Quality of studies was assessed using Joanna Briggs Institute appraisal checklists. Results: We screened 981 abstracts, and 24 full-text articles for final review. Septic shock was the most prevalent physical sequelae reported (13%, n=1492 patients). No functional, cognitive or neurological sequelae were reported in included studies. Meta-analysis of pooled mortality estimate was 14.6% (95%CI: 9.9 -19.4%). Prognostic factors associated with increased risk of PS sequelae and death included pediatric risk of mortality score [≥] 10 and co-infection with meningitis. LOS for survivors and non-survivors ranged between 5-30 days and 1-30 days. Nine included studies met at least 50% of the quality assessment criteria. Conclusion: Physical sequelae and death are the PS sequelae types currently identified in existing literature. Lack of information about other possible sequelae types suggests the long-term consequences of PS disease maybe underreported, especially in resource-limited settings. Future studies should consider exploring reasons for the existing of this knowledge gap.
Iterative ILU preconditioners for linear systems and eigenproblems *

Iterative ILU factorizations are constructed, analyzed and applied as preconditioners to solve both linear systems and eigenproblems. The computational kernels of these novel Iterative ILU factorizations are sparse matrix-matrix multiplications, which are easy and eﬀicient to implement on both serial and parallel computer architectures and can take full advantage of existing matrix-matrix multiplication codes. We also introduce level-based and threshold-based algorithms in order to enhance the accuracy of the proposed Iterative ILU factorizations. The results of several numerical experiments illustrate the eﬀiciency of the proposed preconditioners to solve both linear systems and eigenvalue problems
Detecting Defective Expressions in Turkish Sentences Using a Hybrid Deep Learning Method Hibrit bir Derin Öğrenme Yöntemi Kullanarak Türkçe Cümlelerdeki Anlatım Bozukluklarının Tespiti

Defective expression is a grammatical term that refers to both semantic and morphologic ambiguities in Turkish sentences. In earlier studies, Natural Language Processing (NLP) techniques have been used by constructing rule-based language-specific models. However, despite less demanding annotations requirements and ease of incorporating external knowledge, rule-based systems have some significant obstacles in terms of processing efficiency. Deep learning techniques such as long short-term memory (LSTM) or convolutional neural network (CNN) have made significant advances in recent years, which led to an unprecedented boost in NLP applications in terms of performance. In this study, a hybrid approach of LSTM and CNN (C-LSTM) for detecting defective expressions in addition to traditional machine learning classifiers such as support vector machine (SVM) and random forest (RF) to compare the results in terms of accuracy are proposed. The proposed hybrid approach achieved higher accuracy than the existing deep neural models of CNN and LSTM, in addition to the traditional classifiers of SVM and random forest. This study shows that deep neural approaches come into prominence for text classification compared to traditional classifiers.
Process-variation aware mapping of best-effort and real-time streaming applications to

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