Miracle-dz/UniFAR-FTUs huggingface dataset:
What do you mean? A Review on Recovery Strategies to Overcome Conversational Breakdowns of Conversational Agents

Since the emergence of conversational agents, this technology has seen continuous development and research. Today, advanced conversational agents are virtually omnipresent in our everyday lives. Albeit the numerous improvements in their conversational capabilities, breakdowns are still a persistent issue. Such breakdowns can result in a very unpleasant experience for users and impair the future success of conversational agents. This issue has been acknowledged by many researchers recently. However, the research on strategies to overcome conversational breakdowns is still inconclusive, and further research is needed. Therefore, we conduct a systematic literature analysis to derive conceptual conversational breakdown recovery strategies from literature and highlight future research avenues to address potential gaps. Thus, we contribute to theory of human-agent interaction by deriving and assessing recovery strategies and suggesting leads for novel recovery strategies.
First records of Ameles spallanzania in the Western Alps and habitat preferences

The European dwarf mantis Ameles spallanzania (Rossi) (Mantodea Mantidae) is a European-Mediterranean species that has shown rapid expansion in Italy over the past few decades. Its rapid diffusion in the northern peninsula seems to be linked to artificial communication routes, such as railways. This article reports the first records of this species in the Western Alps (Susa Valley), in the Natura 2000 site IT1110030. Some surveys were carried out on the area of presence and a generalized linear model (GLM) was implemented to investigate the relationship between the habitat and its presence-absence. The results indicate a preference for sparsely and vegetated environments with presence of flowering plants typical of xeric areas. The proximity of some observations to the railways suggests that the new presence data may be related to a new colonization rather than a relict population.
the Costa Rican case

The aphid genus Cerataphis Lichtenstein is native to Southeast Asia although several species have been distributed to other tropical regions of the world. Cerataphis brasiliensis (Hempel) and Cerataphis lataniae (Boisduval) are of interest due to their potential as pests on palms. Those species and Cerataphis orchidearum (Westwood) may be morphologically confused with each other. In Costa Rica, two species have been reported, C. brasiliensis and C. orchidearum. This work aimed to contribute molecular data and ecological observations for species of Cerataphis present in Costa Rica. Few colonies (low frequency of occurrence) of C. brasiliensis and C. orchidearum were recorded during a survey conducted during 2014. Ten ant species were found associated to these aphid colonies. Partial sequences for the genes COI and EF-1α were obtained and compared to the few sequences available for this genus in public databases. Species identification by COI (barcoding) was not conclusive. Phylogenetic analyses and similarity pairwise comparisons showed a close relationship with the genus Tuberaphis Takahashi, including the clustering of mixed species from both genera. Yeast-like symbionts were detected by PCR in individuals of both Cerataphis species found in Costa Rica. Overall, the results suggest there is a need of curated sequence data representing the different Cerataphis species worldwide.
Excess Savings and Twin Deficits: The Transmission of Fiscal Stimulus in Open Economies

Three salient facts have emerged in the world economy since 2020. First, a large increase in private savings around the world, especially in the United States. Second, an increase in the current account deﬁcit in the United States, with a corresponding surplus in the rest of the world. Third, a large increase in the ﬁscal deﬁcit around the world, especially in the United States. In this paper, we argue that the third fact caused the ﬁrst two. We do so in the context of a many-country heterogeneous-agent model in which deﬁcit-ﬁnanced ﬁscal transfers simultaneously lead to a large increase in private savings (“excess savings”) and persistent current account deﬁcits (“twin deﬁcits”). Our model is also consistent with the distribution of U.S. checking account balances over this period: in the model and the data, a few quarters after a ﬁscal transfer, most of the excess savings are held by the rich. At this point, there is still a contribution to demand from spending down excess savings, but it is limited by the low marginal propensities to consume of the rich.
Towards System-Wide, Deployment-Specific MAC Policy Generation for Proactive Integrity Mediation

Preventing attacks proactively in modern distributed systems is a major challenge. The addition of mandatory access control (MAC) enforcement in commodity software was supposed to prevent such attacks by limiting the number of processes accessible to adversaries and confining those still accessible. Unfortunately, the task of security professionals is still reactive, fixing vulnerabilities as adversaries identify them. We claim that in order to configure systems to defend themselves from attacks proactively, MAC enforcement must be customized to the target deployment. However, OS distributors currently focus on designing generic MAC policies for all their customers, leaving system administrators with the difficult task of composing and customizing these policies for their deployment manually. In this paper, we propose the Proactive Integrity Methodology, a mostly-automated method that computes systemwide MAC policies to prevent attacks proactively for distributed system deployments. We constructed a tool that implements this methodology to generate system-wide, Decentralized Information Flow Control (DIFC) MAC policies that require near-minimal effort to make an information flow safe system for Linux web application deployments in tens of seconds. System administrators can use such a tool to generate deployment-specific MAC policies for their distributed systems and verify whether OS distributions satisfy those policies, enabling proactive configuration to prevent attacks.
Scientific Polysemy, Semantic Detoxification, and Sophisticated Operationalism *

Two commonplace phenomena of scientific practice have been taken to challenge operationalism. I provide a version of operationalism that, in fact, explains these phenomena: scientific polysemy and semantic detoxification. Scientific polysemy is generated by cases of semantic extension: the extension of the usage of old terminology in new theoretical or experimental regimes. The changes in the usage of that terminology result in polysemy. Semantic detoxification follows semantic extension’s resul-tant polysemy; it is a reconciliation of novel and past usages. The new usage takes priority over older uses in the novel context, correcting and circumscribing old usages in their native contexts. Focusing on the case of quantity terms, I present a holist operationalism that explains both phenomena: Multiple meanings arise because of differences in the relation of some quantity to other quantities; Multiple meanings are unified into one term because the functional roles determined by these meanings all share analogous positions in the different contexts, specified by the quantity dimension.
An Analysis Tool for Spoken Language in VR

The audio record analysis tool’s goal is to generate an automated prosody and textual analysis for a given data recorded at any experiment (at the AVL – Advanced Virtuality Lab in the IDC). The idea of creating such a tool came after a year of working on a thesis aimed to connect speech to body-movement of an avatar (virtual character). A short brief of this effort is described at Appendix A. The main design concepts of this tool are simplicity of use and robustness, in the sense of fitting the tool not only to a certain experiment at the AVL. The tool was not designed for a specific task, meaning that its output would serve as raw data that should be post-processed by the user for his defined purposes. The document contain a description of the tool, a necessary background on the main modules within it and provide a general performance analysis of the tool.
Management of nutrients for efficient use in small holder oil palm plantations

In the Ophir nucleus estate smallholder scheme in West Sumatra, smallholders have produced larger yields than the nucleus estate since harvest began due to the use of more intensive management techniques which were extended to farmers through a co-operative management system. Although smallholders work under very different management constraints and opportunities compared to large scale estates, very little work has been done to adapt agronomic techniques developed by the estate sector for use in intensively managed oil palm smallholder plantations. Mineral fertilizers represent the largest production cost in mature oil palms but a large proportion of total nutrient uptake may be cycled in crop residues. In the Ophir project, fertilizers were applied over weeded circles which represent 20 % of the soil surface and pruned fronds were stacked in heaps along alternate inter-rows covering 12 % of the soil surface. A further 8% of the soil surface was occupied by harvesting paths used for the transport of fruit bunches and no fertilizer or mulch was applied to the remaining 60 % of the soil surface. The effective rate of nutrient application in both palm circles and the frond stack was large. Soil analysis showed that whilst the concentration of exchangeable K and Mg was increased in soil in the circle zone, the application of urea resulted in reduced soil pH and large losses of Ca due to leaching. The concentration of exchangeable K and Mg was maintained in soil beneath the frond stack where the application of pruned fronds resulted in a marked increase in the concentration of exchangeable Ca and reduced P adsorption. Soil bulk density and soil resistance was increased in the unamended path soil where the concentration of soil exchangeable K was reduced. The rate of water infiltration into the soil was reduced in the path and circle zones but increased in the frond stack compared with untreated soil, The results from a pot experiment in which Pueraria phaseoloides was grown in soils from the palm circle, frond stack and path zones showed that differences in soil chemical properties found by soil analysis were large enough to produce differences in plant growth and nutrient uptake. The root length density of tertiary and quaternary roots was found to be larger in amended soil in the circle and frond stack zones and smaller in the unamended soil in the path zone, where soil had been disturbed by the frequent traffic of harvesters and laden wheelbarrows. Results suggest more efficient nutrient use could be achieved by extending the ameliorative effect of pruned fronds from 20 % to 75 % of the soil surface and, in subsequent years, mineral fertilizer broadcast over the entire soil area.
Analytical and Measurement-Based Method for Diagnosing the Fault of Channels in TSV-Based 3D ICs

Three-dimensional integrated circuits (3D ICs) based on through silicon via (TSV) technology can effectively solve many bottlenecks in the development of ICs. It has rapidly developed into a key cutting-edge technology representing the medium and long-term sustainable development of microelectronics industry. Process fluctuation causes TSV process defects, resulting in the change of structural parameters of RDL and TSV interconnection structure. Finally, it leads to the degradation of performance parameters and functional failure of 3D interconnection and devices. Aiming at the high-resistance and open-circuited faults of 3D ICs, this paper develops an analysis method based on micro nano machining and detection technology. The electrical characteristics and images of typical chain TSV interconnections are analyzed by scanning electron microscope high-resolution imaging. The mechanism of fault diagnosis is based on potential difference and electron transfer.
Housing challenges in sinking coastal city: rethinking urban housing in subsidence area for a more resilient community

Housing in coastal cities is facing complex environmental hazards. The risk of being permanently submerged caused by sea level rise-related flooding is aggravated by the localized hazards, which is land subsidence. We explored the land subsidence conditions in the housing zone of Semarang City using overlay spatial analysis, and we expand the discussion to the regulatory aspect and local adaptation through content analysis. We found that challenges in housing zone are the severe subsidence that is occurring on dense housing zone, regulation that still less sensitive towards incorporating the slow onset disaster and not properly provided housing hydrological consideration nor the water provision, and poor drainage system as well as limited adaptation capacity that makes people lives in a false harmony of being resilient. Affordable alternative housing such as stilt house and drainage infrastructure improvement as well as detailing and reframing building regulation that is adequate to address both subsidence and flooding is undeniably important to ensure the adequate housing is accessible for all coastal city residents.
SPECIAL CONSIDERATIONS IN CEMENTING HIGH PRESSURE HIGH TEMPERATURE WELLS.

Growing demand to drill High Pressure High Temperature (HPHT) wells push the limit of existing technology to overcome their challenges. Case study of the Montara well blowout 2009 and Gulf of Mexico 2010 showed one of the main contributing factors to failure the well in both cases was substandard cement job. The 2012 HPHT Wells Summit board meeting in London in October 2012, gathered to share their insight and case studies from operators of HPHT wells. From the meeting it was mentioned the result of a survey sent to HPHT professionals who majority from drilling department picked out Cement Design as the third most concerning technology gap for HPHT operations (15%). Whereas in Figure 1, 23% said Seal is the biggest technology gap for HPHT operations, 16% for Testing, 16% for Safety Measures, 12% for Polymer and metallurgy, 8% for Casing, 6% for Tubular, and 4 % for other challenges such as drilling equipment, Mud, MWD/LWD tools temperature limitation, and seismic resolution. Even in 2010 HPHT Wells Summit Annual meeting, the survey that appears in Figure 2 showed majority of professional choose Cement Design as the biggest technology gaps for HPHT operations. Figure 1. HPHT Technology Gaps Figure 2. HPHT Technology Gaps (2012 HPHT Well Summit) (2010 HPHT Well Summit) This paper provides a review of some of the best practices and case studies in the area of HPHT cementing. The objective is to underline some important consideration related with designing cement for HPHT wells. This paper will serve as a guide for the engineers, researchers and other HPHT professionals to improve cement design and 23%
Harmonics Current Detection in Three-phase Circuit using Neural Network

Harmonics seriously affect the safety and economy of power system. In order to control harmonics effectively, harmonic current and harmonic power must be detected quickly. Based on the analysis of the components of three-phase nonlinear current, a neural network detection method of fundamental and harmonic current in three-phase circuit is proposed. The method uses a neural network instead of the low-pass filter in the instantaneous reactive power theory. The example results show that the proposed method has the advantages of less computation, better real-time performance and high detection accuracy. The method can be used to detect the positive-sequence (negative-sequence) fundamental active current, positive-sequence (negative-sequence) fundamental reactive current, harmonic, distortion current and harmonic power.
Dynamic modeling and current control of all quantum series resonant converters

A generalized dynamic modeling and an improved current control technique for a quantum buck, boost, and buck-boost series resonant converter are proposed to overcome their inherent disadvantages such as the quantized output level and the large current ripple. Analyses of the internal operational characteristics for all kinds of quantum series resonant power converters are exploited, and improved current control techniques are developed from these analyses. Using the proposed control technique, every operational model for a quantum buck series resonant converter (SRC) and the additional switching signal for a quantum boost and a quantum buck-boost SRC can be optimally selected so that fast transient responses, minimized current ripples, and reduced offset currents can be obtained. <<ETX>>
Opleiding Informatica Threat Intelligence Feed For Mobile Applications

Malware is becoming an increasingly diﬃcult problem with the increasing amount of malware variants and threat actors becoming more sophisticated. This problem extends to mobile platforms such as Android. Part of the solution is YARA, a tool to describe Indicators of Compromise (IOCs), which are widely used for malware detection. There are mobile security platforms that use YARA to scan Android applications for malware threats. However, with the existing implementations the IOCs from the YARA rules only exist in the rules themselves. Collecting and sharing the IOCs from YARA rules can help tackle the malware problem. This thesis aims to create a threat intelligence feed composed of IOCs found within YARA rules and metadata associated with the rules. The result is a collection of 9095 IOCs distributed over 78 diﬀerent types.
Comparison of an intra-articular suture technique and a lateral suture technique in toy breed dogs with cranial cruciate ligament rupture

Cranial cruciate ligament rupture (CCLR) can result in inflammation, pain, lameness and osteoarthritis. Because there is no isometric point for surgical stabilization for CCLR, the anatomical replacement of the ruptured cranial cruciate ligament with synthetic material may provide better outcomes. This retrospective study compared short-term post-operative outcomes between an intra-articular suture technique and a lateral suture technique for treating CCLR in toy breed dogs. Twenty dogs with unilateral CCLR were divided into two groups. The lateral suture technique was a lateral circumfabellar tibial suture with monofilament nylon and the intra-articular suture was performed by passing a suture through the femoral condyle tunnel and the tibial tunnel to stabilize the knee joint with non-absorbable braided polyester fiber. All dogs were assessed for lameness using an adapted five-point lameness scoring system at 0, 7, 30 and 60 days after surgery. Pre-operative lameness scores were comparable between the intra-articular suture and the lateral suture techniques (3.3±0.7 vs. 3.5±0.5, p >0.05). The post-operative lameness scores of dogs with the intra-articular suture were significantly lower than the scores of dogs with the lateral suture at day 7 (1.6±0.5 vs. 2.4±0.7, p <0.05) and day 30 (0.3±0.5 vs. 1.2±1.3, p <0.05). Nonetheless, there was no significant difference in the post-operative lameness scores of dogs in the two groups at day 60 (0.1±0.3 vs. 0.3±0.5, p >0.05). This study suggests that an intra-articular technique may provide a faster return to limb function than a lateral suture technique in toy breed dogs affected by CCLR.
POLICY EVALUATION IN PRESENCE OF INTERFERENCES: A SPATIAL MULTILEVEL DID APPROACH

During the last decades SUTVA has represented the "gold standard" for the identification and evaluation of causal effects. However, the presence of interferences in causal analysis requires a substantial review of the SUTVA hypothesis. This paper proposes a framework for causal inference in presence of spatial interactions within a new spatial hierarchical Difference-in-Differences model (SH-DID). The novel approach decomposes the ATE (Average Treatment Effect), allowing the identification of direct (ADTE) and indirect treatment effects. In addition, our approach permits the identification of different indirect causal impact both on treated (AITET) and on controls (AITENT). The performance of the SH-DID are evaluated by a Montecarlo Simulation. The results confirm how omitting the presence of interferences produces biased parameters of direct and indirect effects, even though the estimates of the ATE in the traditional model are correct. Conversely, the SH-DID provides unbiased estimates of both total, direct and indirect effects. In addition, this model is the more efficient compared both to the traditional and a Spatial modified Difference-in-Differences estimator.
Short-range rendering of virtual sources for multichannel loudspeaker setups Short-range rendering of virtual sources for multichannel loudspeaker setups

A method for rendering virtual sources is proposed, where the sources are perceived to be closer than the loudspeaker array radius. The development is based on an informal finding about closer perception of the range of virtual sources rendered coherently over multiple loudspeakers. To avoid sound quality issues inherent with coherent rendering, the input is split to two streams, one with more transients and the other with smoother temporal envelope. The transient stream is rendered over coherent reproduction, and the continuous stream is processed with time-frequency-domain spreading technique. The results from localization tests with moving sources show that the proposed method produces the perception of closer distances on both sweet-spot and off-sweet-spot listening.
Learning a library of Physical Interactions for Social Robots Erklärung zur Abschlussarbeit gemäß §22 Abs. 7 und §23 Abs. 7 APB der TU Darmstadt List of

Social robots can be used to assist in various social environments such as customer services, education, caring facilities and more. Physical interaction with humans is a crucial part of all of those possible scenarios. With a vast field of application and possible contact to many people with varying social habits, a generalized system that can differentiate and react to a set of different interactions would be required. All of this should feel natural to human participants and should happen in a timely manner. In this work, we propose the Interaction Recognition and Generation (ReGen) Pipeline, a three-step pipeline composed of a Multi-task learning (MTL) Neural Network (NN) for classification and dimensionality reduction, whose output is used to gate and to efficiently and timely condition a set of Interaction Movement Primitives (MPs). We argue that MTL is a useful addition for improving the quality of both tasks as they are closely related and thus can profit from shared information. Additionally, we explore the applicability of segmenting complex movements into simple segments that can be reused in novel interactions, to ensure modularity. We evaluate this approach in a generalized scenario for humanoid robots that can be teleoperated using human joints. Our results show that segmenting is a useful preprocessing step on modular movements. Furthermore, we re-establish the timely benefits of using a lower number of degrees of freedom (DOFs) for conditioning Bayesian Interaction Primitives (BIPs) and discuss draw-backs to keep and mind and points that can still be improved when encoding movements for MPs.