Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing the Rate of Energy Release from NanoEnergetic Materials by Electrostatically Enhanced Assembly

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Lipid and Glycemic Profiles in Patients with Bipolar Disorder: Cholesterol Levels Are Reduced in Mania

Background and Objectives: Bipolar disorder (BD) is a severe mental condition with a lifetime prevalence estimated around 2% among the general population. Due to risk factors, etiological mechanisms, and the chronic use of psychotropic medications, people with BD are frequently affected by medical comorbidities, such as metabolic syndrome (MetS), associated with altered blood levels of glucose, cholesterol, and triglycerides. Moreover, the lipid concentration may be associated with the severity of psychiatric symptoms. Materials and Methods: Five hundred and forty-two in- and outpatients (418 affected by BD and 124 affected by schizophrenia) were recruited in two Italian university hospitals. A blood examination assessing the fasting glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides was performed. Results: No significant differences were found in the lipid and glycemic profiles between patients with BD and schizophrenia. When considering only the BD sample, we found that patients experiencing a manic episode had significantly lower total cholesterol, HDL, and LDL than euthymic patients. Moreover, the total and LDL cholesterol levels were significantly lower in (hypo)manic than depressed patients. Mood episodes did not influence the triglyceride and glucose levels in our sample. Conclusions: Clinicians should pay attention to blood cholesterol levels in patients with BD, as differences in concentrations may predispose them to severe medical conditions and can be associated with the onset of mood episodes.
CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot

We present CharacterChat, a concept and chatbot to support writers in creating fictional characters. Concretely, writers progressively turn the bot into their imagined character through conversation. We iteratively developed CharacterChat in a user-centred approach, starting with a survey on character creation with writers (N=30), followed by two qualitative user studies (N=7 and N=8). Our prototype combines two modes: (1) Guided prompts help writers define character attributes (e.g. User: “Your name is Jane.”), including suggestions for attributes (e.g. Bot: “What is my main motivation? ”) and values, realised as a rule-based system with a concept network. (2) Open conversation with the chatbot helps writers explore their character and get inspiration, realised with a language model that takes into account the defined character attributes. Our user studies reveal benefits particularly for early stages of character creation, and challenges due to limited conversational capabilities. We conclude with lessons learned and ideas for future work.
Link between digitalization and new product launch

Digital transformation and new product success are critical factors for companies’ competitiveness. Does a link exist between digitalization measures within companies, and their new product success? A former study among trading companies has diagnosed a link already. However, as only limited to trading business and a small sample, results stay little robust. Further research is needed. Therefore, the question of this work is, if this link also exists within B2B industrial firms, hypnotising that the link should also be there. Therefore, empirical data among 1.000 production firms in Germany has been gathered with a huge panel survey. Current times are described by high competition and fast changing trends. Companies’ abilities to innovate is therefore a result and a necessary ability to encounter the threat of being outperformed by competitors. Research on this subject therefore closes a relevant scientific gap. This article enlarges the knowledge gathered from a first survey among traders, with a bigger survey among industrial firms. The method of this work is to collect data within German B2B industrial firms and to run a correlation and regression analysis to answer the question, if companies who took relevant digitalization measures, report also higher new product success and compare the results to the previous study among trading firms. The study confirms the previously found link as well for industrial firms. Companies who take digitalization measures, can take profit from them by a higher success of new products.
Stabilization of Active Magnetic Bearing Systems in the Case of Defective Sensors

Many control methods for stabilizing magnetically levitated rotors are proposed in literature. However, most of these systems have in common that the degrees of freedom of the rigid rotor can directly be calculated from the sensor values. This assumption is fulfilled for most active magnetic bearing (AMB) systems if all sensors are working. This article deals with the question if it is possible to stabilize an AMB system if one or more sensors are defective. In this case, a direct calculation of the degrees of freedom from the sensor values is not possible. This article proofs that the defective system is observable for a wide operating range. However, for some parameter constellations the system becomes not observable for specific rotor speeds. The possibility of an observability loss is only present for isotropic magnetic bearings. If anisotropic bearings are modeled the loss of observability is not present anymore. It can be shown that the magnetic bearing system, which is used for the experimental verification, is observable in the predefined operating range without the requirement of an anisotropy. In this article, the cases with one and with two defective radial sensors are investigated. At standstill the x–z plane and the y–z plane are decoupled. Hence, both cases have equal behavior in the plane with the defective sensor. However, for the rotating system both planes are coupled and the properties of both systems are different. To stabilize the levitating system, a controller is developed using the $H_{\infty }$ method. To limit the computational effort of the digital signal processor the control structure is predefined as eighth-order state space system. Finally, the stabilization of the system with two defective sensors is experimentally validated on a turbomolecular pump with a magnetically levitated rotor.
Factors Influencing the Intention to Use the Online Face Mask Information System during the COVID-19 Pandemic

Background: People believe that the mandate of face mask-wearing in public places is one of the keys to success in preventing the COVID-19 spread. This study aimed to examine how health information sites ’ information quality, system quality, and service quality lead to user satisfaction and the acceptance of the face mask mandate in public places. Method: The data this study collected was from 303 users of the online face mask information system in Taiwan during the COVID-19 pandemic. The statistical analysis method employed was to apply Partial Least Square (PLS) to test all of the hypotheses in this study. Results: The results of this study have shown that first, the information quality, system quality, and ser-vice quality would have a direct positive impact on the intention to use and user satisfaction. Second, the acceptance of the face mask mandate in public places would be affected by perceived threat of COVID-19, the intention to use, and user satisfaction. Third, system quality and service quality play an important role in these three qualities of the information system. Conclusions: In order to enhance the acceptance of the face mask mandate, the public health department should make good use of information systems so that people can purchase face masks easily.
Design and Development of Automated Threat Hunting in Industrial Control Systems

Traditional industrial systems, e.g., power plants, water treatment plants, etc., were built to operate highly isolated and controlled capacity. Recently, Industrial Control Systems (ICSs) have been exposed to the Internet for ease of access and adaptation to advanced technologies. However, it creates security vulnerabilities. Attackers often exploit these vulnerabilities to launch attacks on ICSs. Towards this, threat hunting is performed to proactively monitor the security of ICS networks and protect them against threats that could make the systems malfunction. A threat hunter manually identifies threats and provides a hypothesis based on the available threat intelligence. In this paper, we motivate the gap in lacking research in the automation of threat hunting in ICS networks. We propose an automated extraction of threat intelligence and the generation and validation of a hypothesis. We present an automated threat hunting framework based on threat intelligence provided by the ICS MITRE ATT&CK framework to automate the tasks. Unlike other solutions which are cloud-based, costly and prone to human errors, our solution is a central and open-source implemented using different opensource technologies, e.g., Elasticsearch, Conpot, Metasploit, Web Single Page Application (SPA), and a machine learning analyser. Results demonstrate that the solution can identify the network’s attacks and alert a threat hunter with a hypothesis generated based on the techniques, tactics, and procedures (TTPs) from ICS MITRE ATT&CK. Then, a machine learning classifier automatically predicts the future actions of the attack.
Temporally relevant parallel top-k spatial keyword search

New spatio-textual indexing methods are needed to support efficient search and update of the massive amounts of spatially referenced text being generated. Location based services using geo-tagged documents provide valuable ranked recommendations about nearby restaurants, services, sales, emergency events, and visitor attractions. Consequently, top-k spatial keyword search queries (TkSKQ) have received a lot of attention from the research community. Several spatio-textual indexes have been proposed to efficiently support TkSKQ. Some of these indexes support updates based on live document streams, but the ranking schemes employed by them do not simultaneously incorporate temporal relevance, textual similarity and spatial proximity. Moreover, existing approaches have limited or no capability to exploit parallelism with document ingestion and query execution. We present a parallel spatio-textual index, Pastri, to address the aforementioned issues. Pastri can be updated incrementally over real-time spatio-textual document streams. To support temporally relevant ranking of continuously generated document streams, we propose a dynamic ranking scheme. Our approach retrieves the top-k documents that are most temporally relevant at the time of a query execution. We implemented Pastri and we integrate it within a system with a persistent document store and several thread pools to exploit parallelism at various levels. Experimental evaluation involving real-world datasets and synthetic datasets (that we created) demonstrates that our system is able to sustain high document update throughput. Furthermore, Pastri's TkSKQ search performance is one to two orders of magnitude faster than other spatio-textual indexes.
The evolution of advertising research through four decades: a computational analysis of themes, topics and methods

Abstract Over the past forty years, what we, as a discipline, define as advertising research has been negotiated through our primary scholastic contribution to the field: peer reviewed journal articles. The question ‘what is advertising research? ’ may produce different answers by different scholars during various points of the history of our field. The goal of this study is to identify key developments in advertising research – themes, topics, and methods – over the last four decades (1980–2020), as published by the leading general advertising journals: International Journal of Advertising, Journal of Advertising, Journal of Advertising Research, and (Journal of) Current Issues and Research in Advertising. We use a combination of dictionary methods, qualitative analysis, unsupervised machine learning, and network analysis, to examine the abstracts of all journal articles published during that time (N = 6,084) and identify thematic dynamics in theoretical and methodological foci over time. We explain the evolution of the discipline by identifying trends and changes, areas with both growing and declining research emphasis, and subsequently draw conclusions for the future of the field.
Constraint theory and hierarchical protein dynamics

The complexity and functionality of proteins requires that they occupy an exponentially small fraction of configuration space (perhaps 10? 300). How did evolution manage to create such unlikely objects? Thorpe has solved the static half of this problem (known in protein chemistry as Levinthal's paradox) by observing that for stress-free chain segments the complexity of optimally constrained elastic networks scales not with expN (where ? 1000 is the number of amino acids in a protein), but only with N. Newman's results for diffusion in N-dimensional spaces provide suggestive insights into the dynamical half of the problem. He showed that the distribution of residence (or pausing) time between sign reversals changes qualitatively at . The overall sign of a protein can be defined in terms of a product of curvature and hydrophobic(philic) character over all amino acid residues. This construction agrees with the sizes of the smallest known proteins and prions, and it suggests a universal clock for protein molecular dynamics simulations.
From the infraordinary to the extraordinary: Georges Perec and domesticity

The design of domestic environments is fraught with decision-making, a process often dictated by fashion. The resulting inhabitation of domestic spaces blends the routine and the banal, with occasional forays into the extraordinary. The spaces of the domesticity range from single rooms to elaborate palaces. These can be functionally prescribed or open-ended, they support furniture, décor, behaviours, and narratives. The writer Georges Perec (1936–82) provides a way of looking at the domestic realm and ordinary life through his many inter-related writings on the subject. In his quest for an ‘anthropology of everyday life’, he explored notions of the ‘ordinary’ and ‘infraordinary’. In this text two important works by Perec are examined to explore how he framed and questioned notions of domesticity; can this reading be construed as a theory of domesticity? Perec’s text Species of Spaces describes a spatial continuity between city and dwelling that is characterised by spatial types, thresholds/boundaries, objects, and everyday practices often of an autobiographical nature. He begins with the page, ascends through the apartment building and the city, and ends with the world in a sequence of embedded spatial conditions. A close read of Species of Spaces uncovers a kind of sociological work, a critique or manifesto, and an evolution from Perec’s previous writings. In the text he asks the most fundamental questions, such as ‘What does it mean, to live in a room? ’ In his monumental text Life A User’s Manual, Perec examines the lives of residents in a typical Parisian apartment building, it remains one of the most significant imaginings of how a building, or work of architecture, can be occupied. Through the vast scope of Perec’s project the book captures the intertwining lives of the occupants of the building at 11 Rue Simon-Crubellier, in Paris’s 17th arrondissement, at precisely 8:00 pm on 23 June 1975. To accomplish this Perec devised forty-two ‘preprogrammed’ factors to structure each of the ninety-nine chapters to ensure that he covered plot, actors, and setting in a systematic way. The apartment building ultimately provides an armature for the study of the very small to the very large. Life A User’s Manual describes a domestic world, how we organise our residences into compartments of space, how we furnish the rooms, how our stories create our realities, and how the lives of people in an ordinary apartment building intertwine in so many ways. Although frozen in a moment, the novel captures the vagaries and complexities of the everyday. It describes the routines of living, unexpected happenings, the connections between people living together at close quarters, the role of interiors in defining a particular period, the histories that can support and damage a life, the common aspirations and tragedies of urban dwellers, and so on. Perec's work does not constitute an actual theory of domesticity, although it precisely describes a domestic order that provides a sense of place by attending to both the minor and major aspects of an environment.
Academic freedom and Netflix’s ‘The Chair’: Implications for staff-student dialogue

Abstract Academic freedom is seriously under threat. Here I will consider how the marketisation of Higher Education has exacerbated the decline of ‘academic freedom’. While the effects of a ‘cancel culture’ on university provision are difficult to ignore, threats to academic freedom raise a number of questions, such as: ‘who is allowed to speak on campus? ’, ‘to whom? ’, and ‘about what? ’. These questions are fundamental to the academic profession, and therefore have clear implications for teaching and learning in Higher Education. Through an analysis of Netflix’s The Chair (2021), and drawing on the works of Martin Buber, I argue that academics’ freedom to teach is implicitly constrained by student-consumer desires, and in turn this reduces the space for genuine dialogue on university campuses. Rather than closing down debate and the discussion of ‘controversial’ topics, universities instead need to cultivate a climate of trust, openness, and reciprocity on campuses, such that genuine staff-student dialogue can flourish. University campuses are precisely the places where academics should be able to engage in scholarly debate on matters of importance – where students may be exposed to radically different viewpoints and perspectives – and film and TV series can be used to initiate such conversations.
A Proactive Approach towards DDoS Management In Shortest Path Bridging

Changes in technology have affected a large number of sections in the domain of Ethernet. Cloud computing has provided a new dimension for virtual networks (VLAN) as well. These changes have help shaped the paradigm of computer networks on the whole and continues to be the back bone of linking various datacenters. With the introduction of shortest path bridging (approved by IEEE as 802.1aq) computer networks will experience a more refined way of getting things done in a very excellent way. Distributed Denial of Service (DDoS) on the other hand has affected computer systems and networks to a large degree, although solutions have been provided to contain the situation. Attackers typically exploit well-known vulnerabilities, many of which have readily available fixes. Complicating matters are the intrusion tools that are widely available. Intruders have automated the processes for discovering vulnerable sites, compromising them, installing daemons, and concealing the intrusion. Even security-conscious sites can suffer a denial of service because attackers can control other, more vulnerable computer systems and use them against the more secure site. The use of shortest path bridging to manage DDoS attack is not only to help contain the situation but to also provide a way out and render the attacker helpless. This paper suggests ways that can be used by a victim computer to counter a DDoS attack from a possible attacker or an unintentional attack. It helps to safeguard the user against unwarranted service which might command a computer to do without necessarily being aware. The simulation was conducted on a Linux operating system using ns3 and result obtained gives a promising future to pursue further work on the use of IEEE 802.1aq Shortest Path Bridging in managing Distributed Denial of service (DDoS).
Apoptosis: a mechanism of acute and chronic liver injury

Prompt removal of unwanted cells, such as senescent, damaged, genetically mutated, or virus infected cells, is crucial for the maintenance of liver health. This process is naturally achieved through a highly regulated programmed form of cell death called apoptosis. In healthy organisms, the number of cells eliminated by apoptosis equals the number of cells generated by mitosis, ensuring the proper organ homeostasis. In addition, “physiological” apoptosis allows the removal of cells with virtually no release of proinflammatory cytokines and minimal immune response. However, in pathophysiological situations, the balance between cell proliferation and cell death is often altered, with the consequent loss of tissue homeostasis and the onset of several liver diseases. Insufficient apoptosis, with failure of removal of cells carrying mutated genes, and unregulated proliferation within the context of a persistent inflammatory milieu, can promote the development of liver and biliary cancer.1–4 Paradoxically, a chronic apoptotic stimulus can also predispose to cancer development due to the high rate of regeneration invoked in the tissue, which elevates the risk of mitotic errors. In contrast, excessive and/or sustained apoptosis can lead to acute injuries, such as fulminant hepatitis and reperfusion damage,5,6 or even chronic sustained injuries, such as alcoholic liver disease, cholestatic liver disease, and viral hepatitis.7–10 Therefore, therapeutic strategies to inhibit apoptosis in liver injury, or selectively kill malignant cells in tumours, have the potential to provide a powerful tool for the treatment of liver disease. Indeed, with an improved understanding of the molecular pathways and the pathophysiological role of apoptosis, new drugs aimed at therapeutically modulating apoptosis are now available for clinical trials and/or as new therapeutic options for the treatment of several human diseases. In this review, we will focus on the role of apoptosis in selected liver diseases, such as alcoholic liver …
The Man Who Lost His Language: A Case of Aphasia

Acknowledgements. 1. John. Part I: The Stroke. 2. The Accident. 3. Hell. 4. The Geriatric Ward. 5. The Royal Star & Garter. 6. Vermeer. Part II: Aphasia. 7. The Varieties of Aphasia. 8. Silent in Sadness. 9. Aphasia Today. 10. The Chances of Recovery. 11. The Search for a Cure. 12. A Voyage of Exploration. Part III: John's Aphasia. 13. Cambridge. 14. John's Days. 15. Myths and Metaphors. 16. John's Voice. 17. Hope. Afterword. Postscript to the Revised Edition. Useful Addresses. Notes. Bibliography.
Autistic Thinking: This is the Title

Foreword, by Francesca Happe. 1. Just describe me as a computer: About this book. 2. Humorous mechanics: About humour and artificial intelligence. 3. When the sign says red you have to stop: About autistic intelligence I. 4. When life is a dotted line: About social behaviour and identity. 5. The button man: About communications. 6. Applefries: About rigidity. 7. Making coffee is not a 2 + 2 problem: About problems and problem solving. 8. Between the lines: About autistic intelligence II. 9. End notes: About the references in this book. Bibliography. Index.