Miracle-dz/UniFAR-FTUs huggingface dataset:
Maruna Bot: An Extensible Retrieval-Focused Framework for Task-Oriented Dialogues

We present Maruna Bot, a Task-Oriented Dialogue System (TODS) that assists people in cooking or Do-It-Yourself (DIY) tasks using either a speech-only or multi-modal (speech and screen) interface. Building such a system is challenging, because it touches many research areas including language understanding, text generation, task planning, dialogue state tracking, question answering, multi-modal retrieval, instruction summarization, robustness, and result presentation, among others. Our bot lets users choose their desired tasks with flexible phrases, uses multi-stage intent classification, asks clarifying questions to improve retrieval, supports in-task and open-domain Question Answering throughout the conversation, effectively maintains the task status, performs query expansion and instruction re-ranking using both textual and visual signals.
P ERFORMANCE COMPARISON OF ONOS AND ODL CONTROLLERS IN S OFTWARE D EFINED N ETWORKS UNDER DIFFERENT NETWORK TYPOLOGIES

: A controller is a fundamental component of the Software-Defined Network (SDN) architecture that will contribute to the success or failure of SDN. Although it can be implemented using different open source and proprietary tools, selecting the best would eventually contribute to the success of implementation. Therefore, there is a need to assess and compare other existing controllers for SDN in the market and research domains. In this research, a comparative performance analysis between Open Network Operating System (ONOS) and Open Daylight (ODL) open source SDN controllers is carried out by installing the latest stable version of ODL, ODL-Nitrogen and ONOS, ONOS-Nightingale on a virtual test environment, Mininet. The initial packet latency, average round-trip time and Transmission Control Protocol (TCP) bandwidth, i.e. throughput, are measured with respect to network topology in Mininet emulator using ping and iperf commands. The experimental results show that in terms of latency performance ONOS controller is more efficient compared to ODL controller, ODL controller has better flow-setup latency performance than ONOS controller. Jitter variation indicates that ONOS controller is more consistent and leads to more stable network connection and the iperf measured TCP bandwidth shows that ONOS Controller processing power is better than ODL controller processing power. Overall analysis illustrates that ONOS is more robust than ODL in our setup.
Diagnostic and Therapeutic Complexity of Gender Dysphoria: About A Clinical Case

Gender dysphoria is a medical term used in the American Psychiatric Association (APA) textbook to describe the distress of the transgender person in the face of a sense of inadequacy between their assigned sex and their gender identity. The work we present is based on a clinical case in which we have retained the diagnosis of gender dysphoria comorbid with other psychiatric disorders after several close consultation appointments, and through which we will address the socio-cultural aspect of this disorder within our society Adults with gender dysphoria can benefit from psychological, medical and surgical treatment in France. However, this dysphoria rarely appears in adulthood, often being present since childhood and adolescence and generating difficulties in family, social and school life, particularly at the time of puberty. It is necessary to take adequate care of patients with gender dysphoria, often generating psychological suffering responsible for numerous comorbidities.
SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis

In recent years, AI research has demonstrated enormous potential for the benefit of humanity and society. While often better than its human counterparts in classification and pattern recognition tasks, however, AI still struggles with complex tasks that require commonsense reasoning such as natural language understanding. In this context, the key limitations of current AI models are: dependency, reproducibility, trustworthiness, interpretability, and explainability. In this work, we propose a commonsense-based neurosymbolic framework that aims to overcome these issues in the context of sentiment analysis. In particular, we employ unsupervised and reproducible subsymbolic techniques such as auto-regressive language models and kernel methods to build trustworthy symbolic representations that convert natural language to a sort of protolanguage and, hence, extract polarity from text in a completely interpretable and explainable manner.
Los Angeles’ Housing Crisis and Local Planning Responses: An Evaluation of Inclusionary Zoning and the Transit-Oriented Communities Plan as Policy Solutions in Los Angeles

Los Angeles has a housing crisis. As a result, in 2016, Los Angeles County voters passed a local ballot measure, Measure JJJ, which created a new inclusionary zoning program near rail transit stations. That program has since performed substantially better, in terms of building permits and time for review, than the previously existing density bonus program. In this paper, the authors will present two analyses. First, evidence indicates that the inclusionary zoning program that flowed from Measure JJJ (called Transit Oriented Communities, or TOC) resulted in almost as many building permits over its shorter life than the longer-lived density bonus program. Second, detailed financial analyses of a hypothetical new residential development across a range of neighborhoods in Los Angeles demonstrate that the combination of density increases and affordability requirements in the TOC program is financially more attractive than exclusively market-rate development in many of the same neighborhoods that saw the largest use of the TOC program. The authors conclude that the TOC program can be a successful method of inclusionary zoning, and they draw policy lessons that can apply elsewhere.
Lipid Profile and the Severity of Periodontitis among Tertiary Hospital Patients in a Semi-Urban Population in Southwestern Nigeria

The prevalence of hyperlipidemia among Nigerians is established, while the relationship between it and periodontitis has been studied globally. This study aimed to investigate the relationship between lipid profile and severity of periodontitis among Nigerians. 195 patients were drawn from the family medicine clinic of the Obafemi Awolowo University Teaching Hospital Ile-Ife Osun state Nigeria. Sociodemographic data was obtained using a closed-ended questionnaire, simplified oral hygiene index (OHI), periodontal disease index (PDI), clinical attachment loss (CAL), and periodontal pocket depth (PPD) were also estimated. A full mouth mean CAL ≥0.6mm was considered as periodontitis. Lipid profile was carried out at the chemical pathology department of the same institution by spectrophotometry. Appropriate parameters were determined for descriptive variables. A two-way t-test was done for the mean values of the intraoral and the lipid parameters. Data was exposed to logistic regression to eliminate confounders. Male to female ratio was 1:1.6 with a mean age of 37.42±12.95. High-density lipoproteins (HDL) and triglycerides have a statistically significant relationship with CAL and PPD (p<0.05). Logistic regression showed statistical significance for total cholesterol (p<0.05) in females only. Following the trend with other associated chronic diseases, HDL was higher in the periodontally healthy subjects and those with mild chronic periodontitis, while it was lower in those with moderate and severe chronic periodontitis. This relationship was inverse for low-density lipoproteins (LDL). Increase in LDL/HDL had a linear relationship with the severity of chronic periodontitis from mild to severe. This emphasises the need for oral health education in the community and regular lipid investigations.
ENVIRONMENTAL IMPACT EVALUATION OF PEROVSKITE SOLAR CELLS: LIFE CYCLE ASSESSMENT

Perovskite solar cells are an emerging photovoltaic technology that has been receiving considerable attention in recent years. This type of photovoltaic device already achieved power conversion efficiencies (PCEs) as high as 25.5 % and represents a potential substitute to the current used photovoltaic panels. However, PSCs still have some limitations, mainly in terms of stability and possible environmental impacts, which is delaying its passage from the laboratory scale to the industrial level. So, to understand the potential environmental impact of these PV devices and thus analyze the future potential of perovskites, a cradle-to-gate life cycle assessment (LCA) was conducted on a 3 cell PSC module with an active area of 24.6 cm 2 . The studied device was prepared on LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy through an optimized fabrication process, and the LCA was accomplished with data from the LCI database Ecoinvent V3.5 and the literature. The results showed that the impact flows, involved in PSC production, that played the highest negative roles on the environment were: material and direct energy use. The back-contact layer made of gold was definitely the main source of environmental impact: it contributes to more than 60 % of the life cycle impact in every impact category, and also constitutes the main PSC carbon footprint’s contributor, with a 65.6 %. The most energy -consuming perovskite production step revealed to be the fabrication of the mesoporous layer, associated with a 73.9 % relative to the other layer’s manufacturing steps. Concerning only the material class, FTO glass was, apart from gold, the compound that appeared to cause more impacts on the environment; and the electron transporting layer, mainly due to acetylacetone, also showed some relevance in climate change (GWP), depletion of abiotic resources – fossil fuels (ADPF), ozone depletion (ODP) and freshwater toxicity (FET) impact categories. Unlike what could be expected lead toxicity demonstrated not to represent a significant environmental concern in PSCs. more environmental friendly back-contact than gold; the energy source was changed from the Portuguese mix to Renewable electricity produced by standard silicon panels and this improvement demonstrated to decrease the PSC carbon footprint in 32.8 %. The present dissertation aimed to evaluate the environmental impact of Perovskite Solar Cells using the Life Cycle Assessment methodology, and to identify the product hotspots from an environmental point of view and to propose improvements to minimize. The objectives were accomplished as the main impact spots on the PSC production and composition were identified and analyzed. Besides, measures to minimize the PSC environmental impact were also proposed and studied based on the main conclusions.
Mathematical Modeling of Coolant Flow in Drilling Processes with Temperature Coupling

: The paper presents a mathematical modeling approach for a novel drilling strategy with coolant flow. Numerical tools for efficient simulations of such drilling applications are explained. We model the fluid flow with the Navier-Stokes equation in a rotational frame of reference and the solid domain is treated with the Fictitious Boundary Method (FBM). This enables us to utilize a unified mesh for the solid and fluid part of the domain and heat transfer between these is treated in an implicit way.
A Statistical Approach for Assessing Seismic Transitions Associated with Fluid Injections

Facts are presented in this chapter regarding the injection history in the state of Oklahoma and the general trend of its earthquake activity. And also, an earthquake dataset (last assessed in April 2016) from the state is described in terms of temporal and spatial properties of seismic events, frequency and magnitude relationships, and magnitude of completeness. This dataset will be subsequently used to demonstrate the performance of each proposed method. 2.1 Injection and induced seismicity in the Oklahoma State Oklahoma is a region that is well known for a long history of wastewater injection with numerous injection wells across the state and, has seen a remarkable increase in the regional seismic activity after decades of absence of induced earthquakes since the first injection wells were deployed (although it has been suggested that induced earthquakes have occurred in Oklahoma during these decades, but at lower frequency and magnitude (Hough, 2015)). The second largest earthquake ML 5.7 in the history of the state struck its central region in 2011 and damaged nearby infrastructures. More recently, the largest earthquake M5.8 in the history of the state shook Pawnee on September 2016, which is shortly followed by a M5.0 event that struck near Cushing, Oklahoma and building damages have been reported. The ML5.7 earthquake sequence initiated very close to a pair of wastewater injection wells where disposal operations began almost 20 years earlier (Oklahoma Corporation Commission Well Data System). There has been some evidence to suggest that this earthquake was induced by nearby wastewater injection activities (Keranen et al., 2013).
The Web We Weave: Untangling the Social Graph of the IETF

The Internet Engineering Task Force (IETF) has developed many of the technical standards that underpin the Internet. The standards development process followed by the IETF is open and consensus-driven, but is inherently both a social and political activity, and latent influential structures might exist within the community. Exploring and understanding these structures is essential to ensuring the IETF’s resilience and openness. We use network analysis to explore the social graph of IETF participants, based on public email discussions and co-author relationships, and the influence of key contributors. We show that a small core of participants dominates: the top 10% contribute almost half (43.75%) of the emails and come from a relatively small group of organisations. On the other hand, we also find that influence has become relatively more decentralised with time. IETF participants also propose and work on drafts that are either adopted by a working group for further refinement or get rejected at an early stage. Using the social graph features combined with email text features, we perform regression analysis to understand the effect of user influence on the success of new work being adopted by the IETF. Our findings shed useful insights into the behavior of participants across time, correlation between influence and success in draft adoption, and the significance of affiliated organisations in the authorship of drafts.
From Cliques to Colorings and Back Again

We present an exact algorithm for graph coloring and maximum clique problems based on SAT technology. It relies on four sub-algorithms that alternatingly compute cliques of larger size and colorings with fewer colors. We show how these techniques can mutually help each other: larger cliques facilitate finding smaller colorings, which in turn can boost finding larger cliques. We evaluate our approach on the DIMACS graph coloring suite. For finding maximum cliques, we show that our algorithm can improve the state-of-the-art MaxSAT-based solver IncMaxCLQ
Dominant Currency Paradigm: Pricing and Financing

This paper examines how two empirically proven facts, (1) invoicing of trade in the dominant currency (Dominant Currency Pricing) and (2) borrowings in the dominant currency (Dominant Currency Financing), impact the trade volumes for developing economies around the world. Using panel data of Emerging Market Economies, I ﬁnd that exports and imports in these EMEs decrease in short run due to a monetary contraction in US. To explain this fact, I build a DSGE model with dominant currency pricing, dominant currency ﬁnancing, imported inputs in production and ﬁnancial frictions. These key features of the model, especially a Bernanke-Gertler-Gilchrist style ﬁnancial accelerator as the ﬁnancial friction, lead to ineﬃcient current account imbalances. In this paper, I assess the impact on the external balancing mechanism as propounded by Mundell ﬂeming model through a three-country general-equilibrium model with nominal rigidities, imperfect competition in production, dominant currency pricing and ﬁnancing, incomplete and imperfect asset markets.
OPTIMAL ORDERED PROBLEM SOLVER

We present a novel, general, optimally fast, incremental way of searching for a universal algorithm that solves each task in a sequence of tasks. The Optimal Ordered Problem Solver (OOPS) continually organizes and exploits previously found solutions to earlier tasks, eﬃciently searching not only the space of domain-speciﬁc algorithms, but also the space of search algorithms. Essentially we extend the principles of optimal non incremental universal search to build an incremental universal learner that is able to improve itself through experience. The initial bias is embodied by a task-dependent probability distribution on possible program preﬁxes. Preﬁxes are self-delimiting and executed in online fashion while being generated. They compute the probabilities of their own possible continuations. Let p n denote a found preﬁx solving the ﬁrst n tasks. It may exploit previously stored solutions p i , i < n, by calling them as subprograms, or by copying them and editing the copies before applying them. We provide equal resources for two searches that run in parallel until p n +1 is discovered and stored. The ﬁrst search is exhaustive; it systematically tests all possible preﬁxes on all tasks up to n + 1. The second search is much more focused; it only searches for preﬁxes that start with p n , and only tests them on task n + 1, which is safe, because we already know that such preﬁxes solve all tasks up to n . Both searches are depth-ﬁrst and bias-optimal: the branches of the search trees are program preﬁxes, and backtracking is triggered once the sum of the runtimes of the current preﬁx on all current tasks exceeds the preﬁx probability multiplied by the total search time so far. In
CossIGA: Compressive Sensing meets IGA

This work is motivated by the diﬃculty in assembling the Galerkin matrix when solving Partial Diﬀerential Equations (PDEs) with Isogeometric Analysis (IGA) using B-splines of moderate-to-high polynomial degree. To mitigate this problem, we consider a methodology named CossIGA (COmpreSSive IsoGeometric Analysis), recently introduced in [1]. CossIGA combines the IGA principle with CORSING [2, 3], a sparse approximation technique for PDEs based on compressive sensing [4, 5]. CossIGA assembles only a small portion of a suitable IGA Petrov-Galerkin discretization and is eﬀective whenever the PDE solution is suﬃciently sparse or compressible, i.e., when most of its coeﬃcients are zero or negligible. The sparsity of the solution is promoted by employing a multilevel dictionary of B-splines. Thanks to sparsity and the fact that only a fraction of the full discretization matrix is assembled, the proposed technique has the potential to lead to signiﬁcant computational savings. After introducing CossIGA and showing its eﬀectiveness by means of numerical examples, we will discuss the main advantages and challenges of the method and present open research questions.
Survei Strategi Pengujian Software Menggunakan Metode Systematic Literature Review

Pengujian perangkat lunak dibutuhkan dalam melakukan konfirmasi dan validasi dari hasil pengembangan suatu perangkat lunak. Pengujian dilakukan secara sistematis dengan menggunakan sejumlah strategi pengujian perangkat lunak. Pengujian perangkat lunak digunakan untuk mencegah peluang kesalahan yang dibuat oleh manusia dalam suatu system atau dengan kata lain untuk menghindari perangkat lunak yang ada dari cacat. Pengujian perangkat lunak adalah metode untuk mengkonfirmasi apakah perangkat lunak sesuai dengan persyaratan yang ada, sekaligus untuk memastikan bahwa perangkat lunak bebas dari error [1]. Pelaksanaan pengujian perangkat lunak dilakukan menggunakan komponen manual maupun otomatis untuk mengevaluasi satu atau lebih properti yang dipilih. Pengujian perangkat lunak diperlukan untuk menunjukkan cacat dan kesalahan yang dibuat selama fase pengembangan. Strategi pengujian perangkat lunak merupakan garis besar yang mendeskripsikan pendekatan pengujian software development life cycle, yang dimana strategi pengujian perangkat lunak mencakup hal-hal yang perlu diketahui dari sebuah proses pengujian perangkat lunak. Halhal tersebut seperti tujuan, total waktu, sumber daya dan lingkungan dari pengujian perangkat lunak tersebut [2]. Strategi pengujian perangkat lunak memastikan kelancaran pengembangan perangkat lunak, memastikan agar perangkat lunak yang ada sesuai dengan persyaratan dan juga memastikan agar perangkat lunak tersebut bebas dari cacat. Strategi Pengujian Software merupakan salah satu hal penting dalam pengembangan aplikasi / software development life cycle. Pada masa ini strategi pengujian sering dilakukan secara kurang formal dan tidak dapat I N F O AR TI K E L AB ST R AK
A Mixed-Dimensional Embedded Finite Element Approach for the Interaction of Fluid Flow with Fibrous Structures

Dynamic interactions of patches of slender structures with ﬂuid ﬂow play a role in a broad spectrum of physical processes. Biomechanical examples range from particle regulation to cell expulsion. In industrial applications, bioinspired designs based on slender structures are exploited in areas such as ﬂow control. To conclude this list, the interaction of vegetation with ﬂow aﬀects important issues such as coastal protection as well as urban and agricultural planning [1]. Consequently, the analysis and study of such problems through simulation can thus aid in the understanding and design in a multitude of important applications. The numerical simulation of such application cases leads to challenges arising from the slenderness of the observed structures, the added mass eﬀect as well as generally large displacements of the ﬁbrous structures. Within this contribution, we propose an approach using geometrically exact nonlinear beam theory to eﬃciently model the rod-like structures in a well-posed manner [2]. To couple the emerging one-dimensional partial diﬀerential equations with the three-dimensional incompressible Navier-Stokes equations, a mixed-dimensional embedded ﬁnite element approach is used. This approach is based on the Immersed Boundary Method [3] to allow for large displacements. The resulting coupling conditions are enforced directly on the beam’s one-dimensional centerline to ensure eﬃciency of the resulting implementation. talk focus interactions patches