Miracle-dz/UniFAR-FTUs huggingface dataset:
Decrease in Haemoglobin in Association with Aneurysm Volume Loss after Endovascular Repair of Abdominal Aortic Aneurysm

Background : Anaemia (low haemoglobin [Hb]) is well known to be associated with high mortality and adverse cardiac events following surgical treatment of abdominal aortic aneurysm (AAA). However, little is known about the relationship of AAA volume and Hb level alterations with endovascular repair of AAA. This study aimed to examine the changes in the Hb level and aneurysm volume before and after endovascular aneurysm repair (EVAR) for AAA and determine the relationship between the post-operative Hb level and the volume loss of AAA. Methods : This retrospective study reviewed patients with AAA who underwent EVAR between January 2020 and February 2021 at a tertiary medical centre. The clinical features and medical history of the patients were analysed. Alterations in the Hb level were recorded, and the AAA volume was calculated from computed tomography angiography images before and after EVAR to infer the association between the post-operative Hb level and alterations in AAA volume. Moreover, AAA volume, pre-operative Hb level and medical history were studied to identify the risk factors for anaemia 24 h after EVAR. Results : A total of 74 patients (mean age, 67 ± 7.9 years) were included in this study. The Hb level decreased significantly 24 h after EVAR, and the post-operative Hb level was negatively correlated with AAA volume loss ( r = –0.252, p = 0.041). No relationship was observed between AAA volume loss and decrease in the Hb level ( r = 0.072, p = 0.571) or between pre-operative AAA volume and decrease in the Hb level ( r = 0.072, p = 0.566). Furthermore, 59.5% of the patients (n = 44) developed anaemia 24 h after EVAR. The odds ratio (OR) of anaemia 24 h after EVAR was 5.3 times higher in those with hypertension (OR, 5.304; 95% confidence interval [CI], 1.024–27.424) than in those without the condition. The pre-operative Hb level (or normal Hb level) was a protective factor (OR = 0.909; 95% CI, 0.853–0.969). The area under the receiver operating characteristic curve was 0.840. The post-operative Hb level declined significantly, and AAA volume loss contributed to it. Moreover, hypertension was identified to be a risk factor for anaemia 24 h after EVAR, and pre-operative Hb level was discerned to be a protective factor. Conclusions : The findings suggest that decrease in the Hb level in the early post-EVAR stage warrants the attention of surgeons, especially in patients with a history of hypertension or a low pre-operative Hb level.
Inadequate Adenosine-Induced Flow Arrest During Intraoperative Basilar Aneurysm Surgery

Aneurysmal subarachnoid hemorrhage (SAH) is an acute neurologic emergency. We report the case of a 48-year-old male with a massive SAH caused by a ruptured aneurysm of the vertebrobasilar transition. During an urgent craniotomy, due to an aneurysm re-rupture, adenosine was given for flow arrest but no sinus pause was observed. Esmolol was administered and strategies for cerebral protection were implemented. The surgeon was able to clip the aneurysm and the patient was discharged after 78 days without sequelae. The highest adenosine dose given did not result in an efficient cardiac pause. Atropine given one hour before could have contributed to this. This case highlights a successfully managed case of ruptured aneurysm with refractory adenosine-induced flow arrest.
Blind separation of asymmetric signals based on Synchrosqueezing Wavelet Transform

A blind separation algorithm based on synchronous squeezing wavelet transform is proposed to solve the blind separation problem of single channel asymmetric signals in satellite communications. First, the algorithm is used to synchronize the strong signal. Then, the signal time-frequency curve is extracted by synchronous extrusion wavelet transform. Finally, the weak signal interference is filtered out from the mixed signal except the noise and the main frequency of the strong signal. Therefore, the ber of the strong signal demodulation is reduced. The algorithm has the characteristics of blind separation of single channel asymmetric signals without prior information sequence sent by cooperative communicators. The simulation results show that the performance of strong signal demodulation error is better than that of mixed signal direct hard decision.
X. Asymptotic expansions for the Einstein-Maxwell fieldt

This paper contains asymptotic expansions for the Einstein-Maxwell field representing radiation of gravitational and electromagnetic energy from a bounded source of matter and charge. It is shown that the flow of radiation is determined by four news functions which can be considered as two functions giving the gravitational part of the news and two for the electromagnetic part. Together with initial data specified on a null cone these four functions completely determine the behaviour of the system. It is shown that the gravitational and electromagnetic news functions contribute separately to a decrease in the mass of the source. Finally the Newman-Penrose conserved quantities are obtained and an interpretation of the invariant A-function is given. 1. THE STRUCTURE OF THE FIELD EQUATIONS Considerable advances in the understanding of the propagation of gravitational radiation from a finite source have been made by using the technique of asymptotic expansions as first introduced by Bondi, van der Burg & Metzner (I962, paper VII in this series) for the axisymmetric and reflexion symmetric case. This treatment has been extended to the case where no special symmetries are assumed by Sachs (I962, paper VIII) and van der Burg (I966, paper IX). The object of the present paper is to extend this technique to the case where electromagnetic fields are included. In the absence of the electromagnetic field the results will reduce to those of paper IX, while the presence of such a field will modify the equations determining the evolution of the system. In particular, the equation determining the decrease in the mass of the source will contain a contribution from the electromagnetic field which we expect to be consistent with the classical Poynting flux of electromagnetic energy. This in fact turns out to be the case. This problem has been considered previously by Morgan & Winicour (I964) and Kozarzewski (I965) who have obtained the electromagnetic contribution to the mass loss. A fuller analysis of the problem using spinor techniques has been given by Newman & Penrose (I968) who have shown that the ten conserved quantities which appear in the pure gravitational case are modified in the presence of an electromagnetic field, and that a further set of eight conserved electromagnetic quantities appear. This work has been further extended to include neutrino fields by Exton, Newman & Penrose in a paper to be published shortly.
Structural aspects of the high-temperature space charge relaxation in ferroelectric VDF/TFE 94/6 copolymer

Abstract Structural changes in isotropic films of ferroelectric vinylidene fluoride (VDF)/tetrafluoroethylene (TFE) 94/6 copolymers in the metastable state have been studied on heating. The metastable state was ascribed to γ-crystals. The dielectric relaxation spectroscopy was employed to study space charge relaxation processes. Two relaxations were observed at high temperatures. One of them was attributed to relaxation of space charge accumulated on the Al electrode which may be partially blocked due to new functional groups formed in the polymer surface. Recrystallization of the film from the melt is accompanied by small α-crystals formation. This results in a decrease in activation energy of the space-charge relaxation process.
Belief Propagation Techniques for Cooperative Localization in Wireless Sensor Networks

A number of applications in wireless sensor networks (WSN) require sensor nodes to obtain their absolute or relative positions. This chapter applies probabilistic inference to the problem of cooperative localization. Belief propagation (BP) is a way of organizing the global computation of marginal beliefs in terms of smaller local computations within the graph. However, due to the presence of nonlinear relationships and highly non‐Gaussian uncertainties, the standard BP algorithm is undesirable. Nevertheless, a particle‐based approximation via nonparametric belief propagation (NBP) makes BP acceptable for localization in sensor networks. The chapter describes BP/NBP techniques and Gaussian BP (GBP) for the loopy networks. Due to the poor performance of BP/NBP methods in loopy networks, it describes three improved methods: GBP based on Kikuchi approximation (GBP‐K), nonparametric GBP based on junction tree (NGBP‐JT), NBP based on spanning trees (NBP‐ST), and uniformly‐reweighted NBP (URW‐NBP).
Exploiting Variable Stiffness in Explosive Movement Tasks

It is widely recognised that compliant actuation is advantageous to robot control once high-performance, explosive tasks, such as throwing, hitting or jumping are considered. However, the benefit of intrinsic compliance comes with high control complexity. Specifically, coordinating the motion of the system through a compliant actuator and finding a task-specific impedance profile that leads to better performance is non-trivial. Here, we utilise optimal control to devise time-varying torque and stiffness profiles for highly dynamic movements in compliantly actuated robots. The proposed methodology is applied to a ballthrowing task where we demonstrate that: (i) the method is able to tailor impedance strategies to specific task objectives and system dynamics, (ii) the ability to vary stiffness can be exploited to achieve better performance in this class of movements, (iii) in systems with variable physical compliance, our methodology is able to exploit the energy storage capabilities of the actuators. We illustrate these in several numerical simulations, and in hardware experiments on a device with variable physical stiffness.
Contributions to statistical learning theory: estimator selection and change-point detection

This report presents my main contributions to solving the estimator selection problem, in the statistical learning theory framework. First, a general methodology is presented, for building and analyzing estimator selection procedures. Then, it is applied to cross-validation and resampling procedures, to data-driven penalties based upon the concept of "minimal penalty", to the change-point detection problem and to a few other estimator selection problems.
Prediction for Big Data Through Kriging: Small Sequential and One-Shot Designs

Abstract Kriging—or Gaussian process (GP) modeling—is an interpolation method assuming that the outputs (responses) are more correlated, as the inputs (explanatory or independent variables) are closer. Such a GP has unknown (hyper)parameters that are usually estimated through the maximum-likelihood method. Big data, however, make it problematic to compute these estimated parameters, and the corresponding Kriging predictor and its predictor variance. To solve this problem, some authors select a relatively small subset from the big set of previously observed “old” data. These selection methods are sequential, and they depend on the variance of the Kriging predictor; this variance requires a specific Kriging model and the estimation of its parameters. The resulting designs turn out to be “local”; i.e., most selected old input combinations are concentrated around the new combination to be predicted. We develop a simpler one-shot (fixed-sample, non-sequential) design; i.e., from the big data set we select a small subset with the nearest neighbors of the new combination. To compare our designs and the sequential designs empirically, we use the squared prediction errors, in several numerical experiments. These experiments show that our design may yield reasonable performance.
The Harmonic Impact of Rectifiers Serviced by Scott and LeBlanc Connected Transformers

Butler, William P. M.S.E.E. , Purdue University. May 1987. THE HAR­ MONIC IMPACT OF RECTIFIERS SERVICED BY SCOTT AND LEBLANC CONNECTED TRANSFORMERS. Major Professor: G. Thomas Heydt. Conventional three-phase, six-pulse rectifiers produce harmonic currents which propagate into the ac power system from which they are supplied. A two-phase, four-pulse rectifier can be operated such that there are no ac harmonic currents generated. In this connection, although there is no har­ monic impact, the three-phase load current is imbalanced. The operation of a line-commutated two-phase, four-pulse rectifer [rectifier] s rved by the Scott and LeBlanc three-phase to two-phase transformer connections is simulated using a digital computer program in this thesis. Several different methods of rectification for a two-phase bridge are simulated and their current waveforms analyzed for harmonic content and balance. Also, the total har­ monic distortion and the telephone influence factors of alternative connec­ tions and configurations are calculated. Finally, general comparisons with three-phase, six-pulse rectifiers served by conventional transformer connec­ tions are presented.
Study of Self-Similarity for Detection of Rate-based Network Anomalies

In this paper, we have reviewed state of the art works done in the field of anomaly detection in general and network based anomaly detection in particular. The current anomaly detection techniques with respect to rate based network anomalies have been examined and their strengths and weaknesses have been highlighted. The applicability of scale-invariant property of self-similarity as a parameter for detection of anomalies from normal network traffic behaviors has been studied in depth. From the studies of scale-invariance and it's usage in detecting anomalies like flash crowds, DDoS attacks, outages, portscans, etc. it was realized that wavelets are a good tool that can be used for n-level decomposition of aggregated network traffic.
Enhancement of Quantum Correlations in Qubit-Qutrit Systems under the non-Markovian Environment

We investigate the time evolution of quantum correlations of a hybrid qubit-qutrit system under the classical Ornstein-Uhlenbeck (OU) noise. Here we consider two different one-parameter families of qubit-qutrit states which independently interact with the non-Markovian reservoirs. A comparison with the Markovian dynamics reveals that for the same set of initial condition parameters, the non-Markovian behavior of the environment plays an important role in the enhancement of the survival time of quantum correlations. In addition, it is observed that the non-Markovian strength ( γ / Γ ) has a positive impact on the correlations time. For the initial separable states it is found that there is a finite time interval in which the geometric quantum discord is frozen despite the presence of a noisy environment and that interval can be further prolonged by using the non-Markovian property. Moreover, its decay can be significantly delayed.
Exploring the Impact of Built Environment Factors on the Relationships between Bike Sharing and Public Transportation: A Case Study of New York

Bike sharing offers a usable form of feeder transportation for connecting to public transportation and effectively meets unmet travel demands, alleviating the pressure on public transportation systems by diverting urban commuters. To advance the comprehension of how the built environment shapes the relationship between bike-sharing systems and public transport modes, we implement a categorization framework that divides bike-sharing data into three distinct patterns: competition, integration, and complementation, based on their coordination with public transportation. The SLM model is employed to investigate the complex correlations between the relationship patterns and four key groups of environmental factors encompassing land use, transportation systems, urban design, and social economy. We find a strong correlation between four groups of environmental factors and three relationship patterns. Furthermore, the built environment variables exhibit significant variations across the three patterns. Users in the competitive mode prefer the flexibility of shared bikes and place a higher value on the sightseeing and leisure benefits. Instead, users in the integration and complementation modes tend to prefer shared bikes to supplement unmet travel demand and place a higher value on commuting benefits. These findings can benefit urban planners seeking to encourage greater diversity in transportation modes and incentivize more commuting.
Attractive Factors of Environment-Friendly Daily Necessities

Going green is increasingly important to the market. The present research indicates that functional and emotional factors can achieve the best-perceived effects when choosing an environment-friendly product. Therefore, this study aims to gather these attractive factors from high-involvement groups by using Miryoku engineering. First, we capture the factors through the Evaluation Grid Method and use Quantification Theory Type I for quantitative analysis. Then, generalize four feelings about environment-friendly products, namely “Assured,” “Responsible,” “Safe,” and “Comfortable. ” We also define a linear dimension with short-, normal-, and far-sight for locating attractive factors and feelings. The result shows that high-involvement groups are more concerned about the long-term impacts of “Responsible” feelings, while low-involvement groups focus more on the obvious benefits of “Responsible” and “Safe” feelings. Moreover, the emphasis on natural ingredients is necessary for achieving “Assured” and “Comfortable” feelings for both the high- and low-involvement groups.
Natufian Hunter-Gatherers Fishing Strategies: The Early Appearance of the Fishhooks in the Near East and Their Significance

ABSTRACT Fish are a prominent source of nutrients, yet in the southern Levant, clear evidence for fishing was scarce before the historic periods. In the current paper, we present the evidence for Natufian (ca. 15,000–11,700 cal BP) fishing with an emphasis on fishhooks, representing one of the best examples of an artefact that reached its morphological optimum thousands of years ago and continued to be widely used today. While fishing using various techniques and implements was probably in use well before the Natufian, this innovation seems to represent a new technique, more restricted and controlled, for obtaining this food source.
Complete Chloroplast Genome Sequences of Two Ehretia Trees (Ehretia cymosa and Ehretia obtusifolia): Genome Structures and Phylogenetic Analysis

Ehretiaceae is a family in the order Boraginales. It contains more than 150 species. The Ehretiaceae classification has remained elusive and changed over time from subfamily to family, or vice versa. In this paper, we sequenced, characterized, and analyzed the complete chloroplast (cp) genomes of Ehretia cymosa and Ehretia obtusifolia, and their cp genomes were compared to those of related species. The length of the chloroplast genomes of E. cymosa was 156,328 bp, whereas that of E. obtusifolia was 155,961 bp. Each genome contained 114 genes, including 80 protein-coding genes, 4 rRNA genes, and 30 tRNA genes. Repeat analysis revealed that complement, forward, palindromic, and reverse repeats were present in the chloroplast genomes of both species. Simple sequence repeat analysis showed that the chloroplast genomes of E. cymosa and E. obtusifolia comprise 141 and 139 microsatellites, respectively. Phylogenetic analysis based on Bayesian and maximum likelihood analyses divided the order Boraginales into two well-supported clades. The first clade includes a single family (Boraginaceae), and the second clade includes three families (Ehretiaceae, Cordiaceae, and Heliotropiaceae). This study provides valuable genomic resources and insights into the evolutionary relationships within Boraginales.
NUDGING HEALTHIER PRODUCT CHOICE: FORMULATION OF ADOLESCENTS FOOD-CHOICE MOTIVES INTERVENTION IN SERANG DISTRICT, INDONESIA

: Studies found that in low-middle-income countries, many people changed their lifestyle into a modern and industrialized lifestyle. Eating habits inevitably induced by personal food choice which has an independent effect on health. Establishment of eating habits and preferences mostly occurred in young age. Eating habits during adolescence period may sustain until adulthood with consequences for long-term health problem. This project aims to develop community-based intervention programme to tackle this adolescent food choice problem, and examine the effectiveness of a selected method in a sub-urban area in Serang district, Banten, Indonesia. A research on factors that drive food choice motives on adolescents was conducted through a focus group discussion, analysed by thematic analysis. Intervention program recommendation was then formulated by intervention mapping method. To examine the effectiveness of nudging application in minimarket, an experiment with customer acceptance and shopping motives survey was executed and analysed by SPSS. The results of the research show that behaviour of target groups is determined mostly by low self-regulation, family and peer influence, and limited food preparation time. Some intervention recommendations were developed to address these determinants, e.g. family-based intervention, peer-led intervention, and school collaboration. Culturally-sensitive learning environments could also be examined to ensure the effectiveness of nutrition education in that area. Nudging as one of assumed appropriate method to tackle an impulsive behaviour seemed to be not effective in increasing healthy product sales (p=0,741; p=0,316; p=0,342; p=0,247) but the customers showed a positive attitude towards its future application.
EFEKTIVITAS HIDROTERAPI TERHADAP PENINGKATAN KEMAMPUAN FUNGSIONAL pada KASUS LOW BACK PAIN MEKANIKAL: LITERATURE REVIEW

: Background. Low Back Pain is one of the symptoms that is often described with pain that occurs in the lumbar or lumbosacral area which attacks 7.3% in 540 million people in 2015. The most common LBP is mechanical LBP with the cause of Hernia Nukleus Pulposus and nonspecific (idiopathic). This condition causes functional and movement disorders so that the patient requires physiotherapy intervention, one of which is hydrotherapy. Materials and Methods. The research method in writing this article is a literature review through four databases, namely Science Direct, EBSCOhost, Google Scholar, and PubMed on March 26, 2021, in accordance with the PICO framework and inclusion criteria. The measuring tools that can be used to assess functional ability are ODI, MODI, QBPDS, and RMDQ. Aim. effectiveness of hydrotherapy to improve functional ability in mechanical LBP cases. Results. There is an increase in functional ability in mechanical LBP during the 8-week training period with a training dose of 3 sessions/week, 8-10 repetitions and 60 minutes/session time and the recommended methods are walking, ROM exercise, stretching exercise, strengthening exercise, squat, lunges. , stabilization exercises, as well as pedaling and cycling. Conclusion. The administration of hydrotherapy is effective in increasing functional ability in mechanical LBP patients with various parameters and taking into account various things, such as dosage and exercise methods.