Miracle-dz/UniFAR-FTUs huggingface dataset:
Serum Soluble Glycoprotein VI (sGPVI) to Predict the 28th Day In-Hospital Mortality in Adult Patients with Sepsis

Background: Sepsis is a complicated syndrome resulting from the inappropriate expression of host factors in response to infection and is a major cause of death in patients that are hospitalized in emergency departments and in critical care units. Objective: The purpose of the present study was to identify the role of serum soluble glycoprotein VI (sGPVI) in predicting the 28th day in-hospital mortality in adult patients with sepsis. Patients and methods: This observational prospective cohort study included a total of 90 adult patients aged ≥18 years old with clinically suspected sepsis, recruited from Medical Intensive Care Units of Menoufia University Hospital and Kafr El-Sheikh general hospital. The included subjects were diagnosed using quick SOFA score and according to survival at the 28th day, they were divided into two groups; Group A (survivors) consisted of 69 patients (76.7%) and Group B (non survivors) consisted of 21 patients (23.3%). Results: As regard clinico-laboratory data (qSOFA, sGPVI, SGOT, respiratory rate, ESR, WBCs) and complications (hospital stay), they are significantly increased (P value < 0.001) in non-survivor studied patients in comparison with survivor ones. Concerning platelet count, it is significantly reduced (P value < 0.001) in non-survivor studied patients in comparison with survivor ones. As regard clinico-laboratory data (qSOFA, SGOT, respiratory rate, ESR and WBCs) and complications (hospital stay), they are positively correlated with sGPVI with a statistically significant difference in non-survivor studied patients. Concerning platelet count, it is negatively correlated with sGPVI with a statistically significant difference in non-survivor studied patients. Conclusion: It could be concluded that glycoprotein VI is a valuable prognostic predictor during sepsis being more reliable than other widely used indicators and severity scores, such as qSOFA, WBCs, platelet count and CRP.
PRELIMINARY EVALUATION OF LOCAL MINERAL ADDITIONS (BY-PRODUCTS OR WASTES) VALORISATION IN INNOVATIVE CEMENTITIOUS COMPOSITES

Romania’s recent joining of the European family implies a fast upgrading of all evaluation references for every direction concerning life evolution and society development, in close correlation with the European ones. In accordance with the European strategies, implemented starting with 2000, sustainability is set as a key priority, governing all further development axes. Innovation, one of the foundation pillars of durability (environmental protection and non-renewable resources management) can be successfully implemented in all fields of activity. For instance, the path to a sustainable infrastructure could include innovative building materials, designed and developed by means of new technologies and of the latest information, as well as the use of additions (industrial waste / by-products), which could contribute to the improvement of their characteristics and performance. The aim of this paper is to present a general overview of the scientific demarches developed in the topic of Material Science, where innovation is achieved by identifying the re-conversion options for wastes and by-products from industrial processes, as mineral additions for cement-based composites.
Design research in the Netherlands 2000 : 24-25 May, 2000, Eindhoven

This paper describes the set-up of AIDA, a computer tool that supports the conceptual design of complex objects and products. The AIDA system is based on a combination of three methods: Case Based Reasoning for suggesting initial proposals, Rule-Based Reasoning to assess these proposals on their functional merit, and Constraint-Based Geometric Modelling to model and visualise the proposals. These reasoning and modelling techniques are implemented in separate modules. In this paper we present the underlying ideas of the AIDA system and show how this framework can be used for conceptual design of aircraft.
LOOSENING THE CLAMP: AN EXPLORATORY GRAPHICAL APPROACH TO THE CLIMATE LEAF ANALYSIS MULTIVARIATE PROGRAM

The Climate Leaf Analysis Multivariate Program (CLAMP) is an established methodology for physiognomic analysis of dicot leaf floras. This paper uses a meta-analysis of four studies that provide CLAMP data on 245 floras from Asia, Africa, and North and South America to demonstrate the application of a new analytical methodology for the exploration of the relationship between leaf morphology and environment. This methodology involves the application of a generalized "pairs" plot or scatter plot matrix (SPLOM), a form of graphical analysis for multivariate data. It is compared with the results from regression, hierarchical cluster analysis, principle components analysis, and canonical correspondence analysis. Analysis of the available data using pairs plots reveals extensive multiple covariation among explanatory leaf physiognomic variables and identifies sources of systematic error that eigenvector ordination methods tend to conceal. Pairs plots provide a supplementary method for analyzing complex multivariate data on leaf physiognomy and contribute to biological understanding of leaf–environment interactions. Because pairs plots allow more flexible investigation of multivariate data than existing eigenvector and regression-based approaches, they may prove useful not only for analyzing CLAMP data, but also in exploring multiple covariation in other complex paleontological data sets.
Career choice narratives: engineering personality types?

Psychological models have portrayed career choice narratives in terms of personality dimen -sions. In contrast to this approach, the research reported on in this study employs a conversation analytic perspective in order to examine the deployment of career choice narratives in terms of intelligibility and accountability. Engineering students on a degree programme were inter viewed about their career choice. The responses given are examined for the display of member ship categories in terms of personality characteristics commonly associated with engineering. Rather than revealing a psychological construct of a personality, the responses are considered as themselves being engineered to address the display of rational agency and deliberation in arriving at a career choice.
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition

How to effectively incorporate cross-utterance information cues into a neural language model (LM) has emerged as one of the intriguing issues for automatic speech recognition (ASR). Existing research efforts on improving contextualization of an LM typically regard previous utterances as a sequence of additional input and may fail to capture complex global structural dependencies among these utterances. In view of this, we in this paper seek to represent the historical context information of an utterance as graph-structured data so as to distill cross-utterances, global word interaction relationships. To this end, we apply a graph convolutional network (GCN) on the resulting graph to obtain the corresponding GCN embeddings of historical words. GCN has recently found its versatile applications in social-network analysis, text summarization, and among others due mainly to its ability of effectively capturing rich relational information among elements. However, GCN remains largely underexplored in the context of ASR, especially for dealing with conversational speech. In addition, we frame ASR N-best reranking as a prediction problem, leveraging bidirectional encoder representations from transformers (BERT) as the vehicle to not only seize the local intrinsic word regularity patterns inherent in a candidate hypothesis but also incorporate the cross-utterance, historical word interaction cues distilled by GCN for promoting performance. Extensive experiments conducted on the AMI benchmark dataset seem to confirm the pragmatic utility of our methods, in relation to some current top-of-the-line methods.
A ug 2 02 1 BRACKET STRUCTURES FOR ADJOINT-SYMMETRIES AND SYMMETRIES , AND THEIR APPLICATIONS

Infinitesimal symmetries of a partial differential equation (PDE) can be defined as the solutions of the linearization (Frechet derivative) equation holding on the space of solutions to the PDE, and they are well-known to comprise a linear space having the structure of a Lie algebra. Solutions of the adjoint linearization equation holding on the space of solutions to the PDE are called adjoint-symmetries. Their algebraic structure for general PDE systems is studied herein. This is motivated by the correspondence between variational symmetries and conservation laws arising from Noether’s theorem, which has a well-known generalization to non-variational PDEs, where infinitesimal symmetries are replaced by adjoint-symmetries, and variational symmetries are replaced by multipliers (adjoint-symmetries satisfying a certain Euler-Lagrange condition). Several main results are obtained. Symmetries are shown to have three different linear actions on the linear space of adjoint-symmetries. These linear actions are used to construct bilinear adjointsymmetry brackets, one of which is a pull-back of the symmetry commutator bracket and has the properties of a Lie bracket. The brackets do not use or require the existence of any local variational structure (Hamiltonian or Lagrangian) and thus apply to general PDE systems. In the case of variational PDEs, adjoint-symmetries coincide with symmetries, and the linear actions themselves constitute new bilinear symmetry brackets which differ from the commutator bracket when acting on non-variational symmetries. In addition, one of the symmetry actions is shown to encode a pre-sympletic (Noether) operator and a symplectic 2-form, which lead to the construction of a Hamiltonian structure. Several examples of physically interesting nonlinear PDEs are used to illustrate all of the results.
Modifying and co-creating the urban soundscape through digital technologies

Sound is one of the most dynamic elements of the public open space in cities. The perception and understanding of this sonic environment by its users or society as a whole is commonly referred to as the soundscape. It depends on the noticeability of the composing sounds; the preference, expectations and beliefs of the users; and the overall context that is set by the visual environment and the envisaged use of the space. The local character and the volatility of the soundscape make it an ideal subject for co-creation involving citizens. Digital technologies are applicable for audiovisually predicting the impact of design options. Auralisation, either ab initio or based on multichannel recordings, still involves technological challenges that will be explored in this chapter. Digital technologies can also be used for adding sound accents that allow to change the character of the soundscape, e.g. making it livelier or increasing its mental restoration potential. Such digitally augmented soundscapes can be the direct result of a co-creation effort with the users of the public open space. The innovative combination of creating a tailored soundscape and the ability to achieve this through a co-creation process has a promising potential impact on the user experience in public open spaces.
Reducing (to) the Ranks: Efficient Rank-based Büchi Automata Complementation (Technical Report)

This paper provides several optimizations of the rank-based approach for complementing B\"{u}chi automata. We start with Schewe's theoretically optimal construction and develop a set of techniques for pruning its state space that are key to obtaining small complement automata in practice. In particular, the reductions (except one) have the property that they preserve (at least some) so-called super-tight runs, which are runs whose ranking is as tight as possible. Our evaluation on a large benchmark shows that the optimizations indeed significantly help the rank-based approach and that, in a large number of cases, the obtained complement is the smallest from those produced by a large number of state-of-the-art tools for B\"{u}chi complementation.
Maternal Health Inequities during the COVID-19 Pandemic: Challenges, Promising Advances, and Opportunities to Promote Equitable Care

The COVID-19 pandemic has prompted dramatic changes to the delivery of maternal health care; consumers’ fears of contracting the virus and the imperative of social distancing exacerbated discontinuities in care, limited in-person visits with providers, and increased reliance on telehealth (Gonzalez et al. 2021; Hill and Burroughs 2020). The public health crisis has also highlighted preexisting deficiencies in our health care system. Most notably, long-standing racial inequities in health care access and health outcomes have been amplified by the disproportionate toll the pandemic has taken on communities of color (Artiga, Corallo, and Pham 2020). The pandemic has also raised new challenges, increasing both medical and social needs while isolating people from community and family supports. On the other hand, the crisis has generated creative thinking and innovative strategies for safely reaching and serving patients. These developments are occurring during an ongoing maternal mortality and morbidity crisis in the United States, which has been further compounded by the public health emergency.
Disability Burden Due to Neurological Disorders: A matter of Future Concern

Aim: To study disability burden due to common prevalent neurological disorders. Material and Methods: Study from a tertiary care neuropsychiatry hospital from North India. Cases had been collected with all detailed demographic and relevant findings from the year 2009 to 2018; almost 10 years of data were collected and recorded. The detailed analyses of the cases were done. All the cases which lead to permanent disability leading to Locomotors, cognitive and other deficits from the Neurological disorder were included and recorded. Cases leading to temporary disability were excluded from the study. Results: Total numbers of patients around ten tears were 1203 in number, Out of which 1001 were males and 202 were females. Stroke accounted for the largest proportion of disability among all neurological disorders analysed. Cerebral palsy, post enchephalitis sequalae and mental Retardation with Epilepsy were the second, third, and fourth largest contributors of permanent physical or cognitive disability. The proportional contributions of the other neurological disorders analysed were less substantial and varied from 0.4% for Multiple sclerosis to round 5% for tuberculosis of Brain. Among the largest number Stroke Cerebrovascular accident is the largest group comprises of round 44 % of the permanent disability followed by Cerebral palsy, (22.8%) Post encephalitis, sequalae (11.8%) and mental Retardation with Epilepsy (9.2%). Other groups comprises of Tuberculosis of brain (5.2%), Motor Neuron diseases (3.5%) and small number of cases of myelopathy, dementia and Multiple sclerosis and related disorders. Stroke the number of male patients are more as compared to females. The age pattern varied between the various neurological disorders for disability . The age group range for CVA varies grom 30 to 80, mostly in elderly, whereas cerebral palsy, post encephalitis sequale, mental retardation and Epilepsy prevailed in younger age group. Conclusion: The burden due to Neurological disorders is increasing in India and leading to further disability. In developing countries were most of the population belongs to middle or low socio-economic status against increase the burden as the sole family member get disabled and the whole family is dependent on their livelihood.
A Content Transfer Approach: Rule based Table to Text Generation

: Natural language generation is considered as the sub-field of natural language processing. Natural language generation is a process of producing text from the data provided as input to the system. The content transfer is the process of transferring the contents from one source to another. Here the content transfer focuses mainly on the structured form of data (i.e. Table) to the set of sentences (i.e. Sentences). The tables used in this system are the Wikipedia Infobox. Wikipedia Info boxes are considered to be a subset of information that is used to represent the knowledge of the particular subject in a nutshell. Info boxes are the factual tables with a set of field-value pairs. This system is domain dependent as it focuses only on the famous Malayalam language author's infoboxes. Firstly the system is set up in such a way to extract or scrape the infoboxes from the Wikipedia website. After extracting the required field of information, it is converted into the CSV format. In order to generate the biography, it is very important to know the gender of the author. With the help of Naive Bayes, the system identifies the gender of the author whether it is female or male. Then a certain different sets of rules are written to create the corresponding sentences for each field in the Infobox. After this module, the results from the rule-based phase are ordered into a set of sentences that take up the shape of the author's biography. The challenges include the ordering of sentences and dataset creation. The dataset includes 197 well-known Malayalam author's information taken from their corresponding Wikipedia infoboxes. In order to analyze the system results, various reading rates are calculated. Along with that, a manual survey was conducted on the results, 90% accuracy is obtained for the results.
A Time Petri Net Description of Membrane Systems with Priorities, Dissolution, and Promoters/Inhibitors

Summary. We continue the investigations of the connection between membrane systems and time Petri nets by extending simple symbol-object membrane systems with promoters/inhibitors, membrane dissolution and priority for rules. By constructing the simulating time Petri net, we retain one of the main characteristics of the Petri net model, namely, the ﬁrings of the transitions can take place in any order, there is no need to introduce maximal parallelism in the Petri net semantics. Instead, we substantially exploit the gain in computational strength obtained by the introduction of the timing feature for Petri nets
PII: S0169-409X(02)00051-0

It was the intention of this paper to give a survey on the degradation and erosion of polyanhydrides. Due to the multitude of polymers that have been synthesized in this class of material in recent years, it was not possible to discuss all polyanhydrides that have gained in significance based on their application. It was rather the intention to provide a broad picture on polyanhydride degradation and erosion based on the knowledge that we have from those polymers that have been intensively investigated. To reach this goal this review contains several sections. First, the foundation for an understanding of the nomenclature are laid by defining degradation and erosion which was deemed necessary because many different definitions exist in the current literature. Next, the properties of major classes of anhydrides are reviewed and the impact of geometry on degradation and erosion is discussed. A complicated issue is the control of drug release from degradable polymers. Therefore, the aspect of erosion-controlled release and drug stability inside polyanhydrides are discussed. Towards the end of the paper models are briefly reviewed that describe the erosion of polyanhydrides. Empirical models as well as Monte-Carlo-based approaches are described. Finally it is outlined how theoretical models can help to answer the question why polyanhydrides are surface eroding. A look at the microstructure and the results from these models lead to the conclusion that polyanhydrides are surface eroding due to their fast degradation. However they switch to bulk erosion once the device dimensions drop below a critical limit.  2002 Elsevier Science B.V. All rights reserved.
DEPRESSIVE STATES AS A RISK FACTOR IN TYPE II DIABETES MELLITUS

Khushnud Norboev, Sayriddin Sobirjonov, Khurshedjon Ulmasov, Amira Abdurakhimova the 6 – year student of pediatric faculty of Samarkand State Medical Institute; hushnudnorboyev1995@gmail.com the 6 – year student of pediatric faculty of Samarkand State Medical Institute; sayrik.sobirjonov01@mail.ru the 6 – year student of pediatric faculty of Samarkand State Medical Institute; xurshedulmasov1996@gmail.com the 5 – year student of pediatric faculty of Samarkand State Medical Institute; repsbp@gmail.com
Large mammals of Mkomazi

Mkomazi Game Reserve has never been noted for large populations of large mammals but the diversity of species is as great as in any other east African protected area. The size criterion defining a large mammal must, ultimately, be arbitrary. In ecological terms, individual size correlates with individual contribution to the rate at which ecological processes occur. The threshold size criterion for a large mammal in Mkomazi was set at a weight of 3–5 kg or a height of about 50 cm, and so would include, for instance, baboon and dikdik. The threshold is ecologically and logistically justified for it includes individual ‘large mammals’ that are likely to play significant roles in specific ecological processes and means that the chances of observing individuals of the smaller species is reasonable across a range of habitats, ensuring that widely distributed species have a fair chance of being observed throughout their range. Information on large mammal distribution and abundance patterns, and their seasonal variations, is important to understanding the significance of large mammals as an ecological driving force in Mkomazi. This information is also vital in evaluating various management questions, such as the conservation importance of Mkomazi for the persistence of large mammal species. For example, Mkomazi has the only recorded gerenuk population in a protected area in Tanzania, as well as nationally important populations of oryx and lesser kudu (TWCM 1991). Other management considerations include the tourist potential of Mkomazi for game viewing, the nature and extent of potential wildlife-human conflicts, possibilities for sustainable harvesting of bush meat by local communities and the re-introduction of formerly-present species, such as the black rhino.
Physical Aging of Membranes for Gas Separations

The polymers that comprise most high-performance gas separation membranes are amorphous, glassy materials. These materials are selected based on their superior permeability and selectivity characteristics and their ability to form rigid structures that enable the development of self-supporting architectures, such as asymmetric hollow fibers. The performance of gas separation membranes change with time due to the inherent non-equilibrium nature of glassy polymeric materials. As non-equilibrium materials, glassy polymers undergo physical aging, a spontaneous, but typically slow, evolution toward an equilibrium state. However, the changes in material properties caused by physical aging are thermo-reversible, i.e. the changes can be reversed by heating the sample above the glass transition of the material. This important feature of physical aging separates the phenomenon from other factors that may influence behavior over time such as chemical aging, degradation, or contamination. Extensive studies on the influence of physical aging on glassy polymer behavior, e.g. mechanical properties, volume relaxation, and thermodynamic behavior, have been reported in the literature. This chapter does not attempt to