Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainability Analysis of the Pharmaceutical Supply Chain

Current patterns of consumption and production are constantly contributing to growth of society awareness regarding sustainable development issue. The increasing environmental and social awareness of society is manifested in significant pressure which has been put on companies to implement more sustainable solutions. The pharmaceutical supply chain pays special attention to sustainability due to its nature of business; in this context, it has been developing a set of actions to achieve foreseen goals. Given this context, we conducted a detailed study of sustainability in pharmaceutical supply chains in order to identify the main factors that determine sustainable operation of these systems. The identified factors are a set of categories, which cover the three sustainability dimensions. These categories were tested and validated through an interview and a content analysis of corporate sustainability reports from this sector. Applying the latter method it has also been found some relations between the sustainability dimensions, which enabled the identification of a set of interconnected categories. The results demonstrate that leading companies in sustainability in the pharmaceutical sector have been committed to various initiatives to achieve their objectives and sustainability goals. They also found that although pharmaceutical companies belong to the same sector, they report sustainability issues differently, possibly the existence of external and internal conditions that influence the business strategy in the context of sustainable development.
Characterizing the Cyclists’ Path-Overtaking Maneuver Detection and Vehicles’ Speed Estimation

The traffic pollution is a scourge of urban areas and several transportation policies have been adopted to increase the use of sustainable transportation, such as bicycles. To develop this desirable trend and design new infrastructures, policy makers require tools for cyclists’ risk assessment. In this paper, a video-based method to estimate overtaking maneuvers and vehicles’ speed is proposed. It was possible to geo-reference these stressful events for riders, providing a framework for path characterization concerning roads’ suitability and safety for cyclists. The proposed method is based on license plate recognition and tracking of approaching vehicles near cyclists surroundings. A new data set with realistic bicycle scenarios in urban roads, gathered with an action camera located at bicycle’s handlebar together with smartphone’s GPS data, is made available and used as case of study. Allowing to compare distinct streets and urban areas based on the speed of detected overtaking maneuvers. The results achieved are very promising concerning path’s characterization for cyclists.
Automatic Speech Recognition-enabled Pronunciation Learning System Development for Second Language Speakers of Korean

One-on-one tutoring is ideal in second language learning, especially during speaking practice. However, this can be costly for the learners, and technology can be a practical way of simulating realistic interactions in a private and stress-free environment, and thereby providing the beneficial effects of one-on-one tutoring. These systems offer pronunciation scores and feedback on oral proficiency on the word and utterance levels. There has been an increasing interest in developing such systems through the use of ASR (Automatic Speech Recognition) technology.
How Domain Experts Create Conceptual Diagrams and Implications for Tool Design

Conceptual diagrams are used extensively to understand abstract relationships, explain complex ideas, and solve difficult problems. To illustrate concepts effectively, experts find appropriate visual representations and translate concepts into concrete shapes. This translation step is not supported explicitly by current diagramming tools. This paper investigates how domain experts create conceptual diagrams via semi-structured interviews with 18 participants from diverse backgrounds. Our participants create, adapt, and reuse visual representations using both sketches and digital tools. However, they had trouble using current diagramming tools to transition from sketches and reuse components from earlier diagrams. Our participants also expressed frustration with the slow feedback cycles and barriers to automation of their tools. Based on these results, we suggest four opportunities of diagramming tools  exploration support, representation salience, live engagement, and vocabulary correspondence  that together enable a natural diagramming experience. Finally, we discuss possibilities to leverage recent research advances to develop natural diagramming tools.
Analysis of Cryptocurrency Commodities with Motifs and LSTM

Time Series Analysis has long been used as a method to help predict future events based on previous data. This area is well-deﬁned and studied but there are still areas of Time Series Analysis that are problematic. One such problem is isolating patterns in highly volatile datasets over long time intervals. In an eﬀort to help with such issues e.g. those seen in ﬂuctuating ﬁnancial datasets, a new approach is needed. Borrowing its name from Music and more recently Computational Biology, Motifs are small repeating patterns in datasets. Using these subsequences, further forecasting can be improved as Motifs can be shown to aid algorithms which require certain initial conditions. This method will potentially lead to new insights in the study of cryptocur-rencies. This paper will present a case where an optimized Motif length will be used to aid the prediction of Bitcoin through the use of an LSTM Neural Network, yielding an 8% decrease in RSME for one test case.
ADJOINT-BASED PARAMETER ESTIMATION IN HUMAN VASCULAR ONE DIMENSIONAL MODELS

I Table of contents III List of figures V Introduction 1 Cardiovascular physiology . 1 Cardiovascular pathology . 4 Numerical simulation of cardiovascular system: state of the art . 5 Thesis objectives and outline . 7 1 Data assimilation and optimal control for partial differential equations 9 1.1 Data assimilation methods . 9 1.1.1 The stochastic approach . 10 1.1.2 The variational approach . 13 1.1.3 Data assimilation in cardiovascular system modelling . 14 1.2 Optimal control: Lagrangian formulation . 15 1.2.1 General case . 16 1.3 Optimal control techniques for hyperbolic partial differential equations 18 1.3. 1 First order necessary conditions for hyperbolic partial differential equations . 18 1.3. 2 Well-poseness of optimal control problems for hyperbolic equations 19 1.3. 3 Controllability and observability of discretized hyperbolic equations 21 1.4 Optimization methods . 24 1.4. 1 A review of optimization methods . 24 1.4. 2 Optimization methods for optimal control problem described by PDEs . 28 2 One dimensional fluid structure interaction models for cardiovascular system 29 2.1 One dimensional FSI models . 29 2.1.1 Deriving the equations . 29
Numerical Simulation of Acoustic Resonance and Streaming in Droplet Acoustofluidics

This paper reports the phenomenon of resonance weakening and streaming onset in two phase acoustofluidics by performing numerical simulations of a capillary droplet suspended in a microfluidic chamber. The simulations show that depending on the relative acoustic properties of the two phases, it is possible to observe (i)~the decrease in the total acoustic energy as the oscillation amplitude at the wall increases, and (ii)~the onset of acoustic streaming. The impact of these findings in terms of acoustic focusing inside droplets is also discussed.
An Intelligent Linked Data Quality Dashboard

This paper describes a new intelligent, data-driven dashboard for linked data quality assessment. The development goal was to assist data quality engineers to interpret data quality problems found when evaluating a dataset us-ing a metrics-based data quality assessment. This required construction of a graph linking the problematic things identified in the data, the assessment metrics and the source data. This context and supporting user interfaces help the user to un-derstand data quality problems. An analysis widget also helped the user identify the root cause multiple problems. This supported the user in identification and prioritization of the problems that need to be fixed and to improve data quality. The dashboard was shown to be useful for users to clean data. A user evaluation was performed with both expert and novice data quality engineers.
Trajectory planning and control for drone replacement during formation ﬂight

This work addresses the design of trajectory planning and control techniques for a team of drones, so that a vehicle in formation ﬂight can be safely and eﬃciently replaced. In a ﬁrst stage, an optimal trajectory generation method is presented, where a nonlinear optimization problem is formulated taking into account constraints imposed by the physical limitations of the vehicle, the formation and the surrounding environment to generate discrete trajectories. Additionally, nonlinear constraints are included to impose collision avoidance and clear visibility during the exchange of positions in replacement. To solve the nonlinear optimization problem, an iterative algorithm based on Sequential Convex Programming is implemented, thus, solving an approximate convex problem at each iteration. Furthermore, a tracking controller is proposed to follow the generated reference trajectories, that is composed by an inner loop responsible for attitude stabilization and an outer loop related to position tracking. In a second stage, an online planning and control strategy is implemented, that is able to generate optimal positions and control inputs in real time. To this end, a Nonlinear Model Predictive Controller is formulated, based on the dynamic model of the system, a quadratic objective function, and a set of constraints, that again include collision avoidance and clear visibility. All of the algorithms presented are validated in simulations that include the autopilot software.
Prospective Study of Moxifloxacin prophylaxis in Patients Suffering with HIV Having Contact History of Multidrug Resistant Tuberculosis (MDR-TB)

Aim and Objectives: To find out the effectiveness of moxifloxacin prophylaxis in HIV patients having contact history of MDR-TB. Materials and Methods: This is an observational prospective cohort study of HIV patients divided in to two groups, moxifloxacin prophylaxis group and non-prophylaxis group. These groups are followed for four years from March 2012 to March 2016 to appraise the incidence of tuberculosis and mortality in these two cohorts. Results: The tuberculosis incidence in more in non-prophylaxis group when compared to prophylaxis group. Crude tuberculosis incidence is 275 per 1000 person/years in non-prophylaxis group when compared to 42 per 1000 person/years in prophylaxis group (p<0.005). Incidence of MDR-TB is more in non-prophylaxis group (26 vs 6; p=0.002) when compared to prophylaxis group. Crude mortality rate is more in non-prophylaxis group (774 vs 103; p=0.003) when compared to the other group which was further confirmed by Cox regression hazards model. Proportional hazards model in which moxifloxacin prophylaxis had a 60% decrease in mortality compared to non-prophylaxis (adjusted relative hazard). Conclusion: Prophylaxis with 6-months moxifloxacin is an effective alternative for HIV patients instead of isoniazid suspected to contact with multidrug resistant tuberculosis.
Event Recommendation Engine

Nowadays, with the growing ammount of information related to existing events on the Internet, it has become increasingly diﬃcult for users to ﬁnd those that best ﬁt their preferences and personal tastes. In this regard, recommender systems came to help users in this task by reducing the overload of information felt by the users, by recommending events that users may like. However, diﬀerently from the classical recommender problem, which envolves items such as movies or books, events suﬀer from the so called new item cold-start problem . Since events often take place in the future, there’s an absence of feedback from the users, as well as a lack of records about the user’s attendance in the events. In such situations, it’s necessary to consider, not only information about the events and the users, but also contextual information. Having in mind the presented problem, an event recommendation engine was implemented, which has, for primary objective, to predict the events in which the users may be, eventualy, interested. The recommendation is made by considering information regarding previously attended events by the users, demographic information about them, and what events theyve seen and interacted with, e.g., through clicks in an application. In order to get the best possible recommendation performance, several features were created, being the event recommendation made with a Random Forest classiﬁer. Several tests carried out have certiﬁed the good eﬃcacy and performance of the recommender solution developed.
The Data Administration Newsletter (TDAN.com)

This article describes an approach to achieve enterprise-wide data standardization through the specification, implementation, and maintenance of data elements within the context of a metadata-repository, CASE-like environment. Data elements, posited by this paper, are context independent business fact semantic templates. A full exposition of the presented in this paper is provided through the “URL” references within the last section. This paper then is merely intended to have you answer the question, “does this approach make common sense? ” If your answer is yes, then consult the references for the much deeper presentations.
Interdisciplinary Factors of Neuropathology in Schizophrenia

In the etymology of schizophrenia, the genetic component seems to play an essential role. Studies have shown more than 130 genes of susceptibility for schizophrenia: the majority of these studies, however, has yet to be confirmed- they are searching for more definition on the relevant functions of the genetic variation of schizophrenia. Recent studies suggest that a cluster of candidate genes in the interconnected network pathways are implicated in transmission of the glutamate the plasticity of the synapses, in oxidative stress, myelination and the profitability of oligodendrocytes. Previous neuropathological studies on schizophrenia did not identify specific neurodegenerative characteristics of this disease. Scientific evidence suggests that the physiopathology of schizophrenia involves alterations of the intracellular transmission pathway, those which are associated with reduced cerebral volume in some structures of white and gray matter. In particular, in schizophrenia, a reduction of medium cerebral volume has been observed, as has a reduction of the cortical regional volumes with reference to the frontal, temporal, and parietal areas of the brain - this is all in addition to a reduction of the prefrontal cortex, hippocampus, amygdala, thalamus, and the cerebellum. The cytoarchitectonic alterations in schizophrenia may be an expression of the pathology's processing, as are axonal damage and loss, reduction of myelination, and loss of neuropil. These all contribute to the reduction of the volume of the cerebral parenchima, and the corresponding augmentation of the cerebral spinal fluid. The inheritance of schizophrenia may appear high/elevated, but not a certain eventuality. In analysis of subtype specifics. However, this statistics remains significant in all studies. The role of the environmental factors in the development of schizophrenia is highlighted by studies which have been conducted on monozygotic patients affected by schizophrenia. While their genetic code is 100% similar, that is to say, entirely identical, one of the pair can be diagnosed as schizophrenic, while the other of the monozygotic pair has the 50% of the possibility not to contract schizophrenia. It is well known that genetic and environmental factors influence multiple aspects of human behavior, they can increase the susceptibility towards a mental disturbance. The reciprocal effects of these factors are placed in two distinct and diverse categories: gene environment interaction, which expresses the terminal genetic variations of susceptibility to environmental risk, and environmental gene correlations, where the genetic variability can increase or reduce the likelihood of the exposure to environmental determinant risk, includes early stressful events of life.
BiblioMiner: Answer to exam questions based on the indexing of bibliographic elements

Every year, students learn the documents in the bibliography of a discipline and are tested in a ﬁnal exam which aims at the evaluation of their acquired knowledge. For students it is necessary to have quick access to the most relevant texts related to a question they do not know the answer to. This project extracts indicators of the bibliography such as the words of the summary, toc, TF and IDF, and builds a dataset based on an online survey of questions and answers. This dataset is used to train and test a ”Learning to Rank” algorithm that uses linear, logistic and SVM models. The results obtained show that the logistic model, with kernel Epachnenikov and shufﬂed sampling, is the best model, due to its ROC curve proximity with the best model point, maintaining good levels of precision and F1 when compared with the remaining combinations of models, kernels and shufﬂing types.
Validating the ELECTRA Web-of-Cell control concept – An overview of possible simulation environment enhancements

It is expected that future power systems will be characterized by a high share of renewables. Nowadays, a shift from conventional dispatchable bulk generators to intermittent converter-coupled generation units can be observed. This trend, that will be always more significant in future, will affect the operation of the underlying power systems. Advanced automation and control concepts have the potential to address these challenges by providing new intelligent solutions and products. A proper validation of these new technologies is needed before their field installation. However, suitable development and testing approaches and the corresponding tools able to address system-level issues are partly missing until now. The aim of this paper is to discuss some experiences which have been made with simulation-based approaches in the EU-funded ELECTARA IRP project during the development and testing of a sophisticated distributed real-time control concept and its corresponding functions.
Exact and Heuristic Algorithms for the Carrier-Vehicle Traveling Salesman Problem

This paper presents new structural properties for the carrier–vehicle traveling salesman problem. The authors provide a new mixed-integer second-order conic optimization formulation, with associated optimality cuts based on the structural properties, and an iterated local search (ILS) algorithm. Computational experiments on instances from the literature demonstrate the superiority of the new formulation to the existing models and algorithms in the literature, and the high-quality solutions found by the ILS algorithm.
Hydrodynamic analysis of a slalom fin of windsurf board

The objective of the thesis is to perform a hydrodynamic analysis in estimating the water-induced loads on a real slalom fin of a windsurf board. First, an initial 2-D flow study of the fin hydrofoil, using the software XFOIL will be performed. This will serve as mean of calibration for the commercial Computationa l Fluid Dynamics software Star-CCM+. Since the analysed flow is in the range of 3x105 to 10x105 of the Reynolds' number, inside the transition interval, laminar, transition and turbulence models will be used. The 2-D flow study of the hydrofoil and the 3-D flow study of the fin will be conducted using Star-CCM+, to analyse the fluid-structure interaction. This MSc thesis will rely on several research collaborations originating from different Universities from Portugal and the United Kingdom, which may lead to an opportunity of a further cavitation phenomenon investigation.
POLYMER-BASED ORTHOPEDIC SCREW AND DRIVER SYSTEM WITH INCREASED INSERTION TORQUE TOLERANCE AND ASSOCIATED METHOD FOR MAKING AND USING SAME FIELD OF THE INVENTION

(54) POLYMER-BASED ORTHOPEDICSCREW (22) Filed: Dec. 27, 2001 AND DRIVER SYSTEM WITH INCREASED INSERTION TORQUE TOLERANCE AND Publication Classification ASSOCIATED METHOD FOR MAKING AND USING SAME (51) Int. Cl. " . A61B 17/58 (52) U.S. Cl. 606/73 (75) Inventors: Joseph H. Contiliano, Stewartsville, NJ (US); J. Jenny Yuan, Neshanic Station, NJ (US); Kevor S. Tenhuisen, Clinton, (57) ABSTRACT
Integrated Eddy Current based Non-destructive Testing System for High-end Applications

This work addresses an Eddy-Current (EC) Non-Destructive Testing (NDT) system that makes use of Magneto-Resistive (MR) sensors to characterize metallic samples under test. A system with MR sensors can work with low-frequency magnetic signals to allow higher penetration depths. The resultant signals are processed by an Application Specific Integrated Circuit (ASIC), that includes a pre-amplifier, which is the focus of this work. The pre-amplifier presents a very significant flicker noise contribution that impairs measurements. To reduce flicker noise, Chopper Stabilization is implemented. The pre-amplifier has a Folded Cascode topology and implements a capacitive feedback, which allows superior gain precision, when compared with resistive feedback configurations. The action of chopper modulators results in the modulation of input DC components that are not blocked by the input capacitors. When amplified, these DC components can cause the saturation of the pre-amplifier. For this reason, a DC Servo Loop (DSL) is added, as it extracts the output DC component and, by means of negative feedback, subtracts it from the amplifier input, achieving its cancellation. The pre-amplifier was designed in AMS 0.35 μm CMOS technology and has a simulated gain of 20 dB, while presenting an Input-Referred Noise (IRN) of 6 nV/ √ Hz at 100 Hz and noise floor of 4 nV/ √ Hz. The pre-amplifier also presents an attenuation of 60 dB for the DC signals, allowing the attenuation of DC components up to 200 mV.
Letting the machines do the maths: an AI predicting cryptocurrency movements

Since the invention of the biggest cryptocurrency Bitcoin (BTC) in 2008, there has been a rising interest in the cryptocurrency market, as well as blockchain technology. Cryptocurrencies are decentralized digital assets, serving as a medium of exchange. Its decentralized nature comes from the distributed ledger technology based on strong cryptography and a proof-of-work technique (Nakamoto, 2009). In February 2020, the cryptocurrency market capitalization reached $292.2bn (CoinMarketCap, 2020). This figure is higher than the nominal GDP of countries like New Zealand, Qatar or Ukraine; and is predicted to raise in the near time horizon (Global Cryptocurrency Market, 2019).
Negative Charge Pump in 22nm FD-SOI Technology

In this paper it is proposed the realization of a charge pump inverter. With the evolution of integrated circuit fabrication technologies for Fully Depleted SiliconOn-Insulator (FD-SOI), the circuit under study is intended to be a means to explore the possibilities of this technology. Particularly in this work, the circuit was implemented in the GLOBAL FOUNDRIES 22FDX technology. This allows a dynamic adjustment of VT through Reverse Body Biasing (RBB) and Forward Body Biasing (FBB), i.e. by adjusting the substrate voltage of the transistor to 1.8 V or -1.8 V, respectively if it is n or p type. A charge pump inverter circuit was thus developed in order to provide a negative voltage for substrate polarization of circuits implemented in the same technology. The developed inverter has an operating frequency of 1Mhz and its capacitors are integrated into the circuit without the need to add discrete components externally.