Miracle-dz/UniFAR-FTUs huggingface dataset:
Kraken: Online and elastic resource reservations for multi-tenant datacenters

In multi-tenant cloud environments, the absence of strict network performance guarantees leads to unpredictable job execution times. To address this issue, recently there have been several proposals on how to provide guaranteed network performance. These proposals, however, rely on computing resource reservation schedules a priori. Unfortunately, this is not practical in today's cloud environments, where application demands are inherently unpredictable, e.g., due to differences in the input datasets or phenomena such as failures and stragglers. To overcome these limitations, we designed KRAKEN, a system that allows tenants to dynamically request and update minimum guarantees for both network bandwidth and compute resources at runtime. Unlike previous work, Kraken does not require prior knowledge about the resource needs of the tenants' applications but allows tenants to modify their reservation at runtime. Kraken achieves this through an online resource reservation scheme which comes with provable optimality guarantees. In this paper, we motivate the need for dynamic resource reservation schemes, present how this is provided by Kraken, and evaluate Kraken via extensive simulations.
Empowering Stories: Transportation into Narratives with Strong Protagonists Increases Self-Related Control Beliefs

ABSTRACT Several studies have shown that narratives can influence readers’ beliefs about themselves. In the present study, our goal was to investigate whether stories portraying a strong protagonist can positively influence recipients’ beliefs of being in control of events in their own lives (self-related control beliefs). Experiment 1 showed that narratives in both written text and video form with protagonists displaying high versus low self-efficacy can, at least temporarily, affect recipients’ own self-related control beliefs when they experience strong transportation into the stories. In addition, the results suggest that recipients’ perceived ability to generate vivid mental imagery affects their transportation into and identification with characters in texts versus films. Experiment 2 manipulated transportation and identification experimentally and showed that the effect of this manipulation on self-related control beliefs was indeed mediated by experienced transportation and identification. The results are discussed within the framework of the Transportation Imagery Model of narrative persuasion.
EphA2 immunoconjugate as molecularly targeted chemotherapy for ovarian carcinoma.

BACKGROUND EphA2 is overexpressed in many types of human cancer but is absent or expressed at low levels in normal epithelial tissues. We investigated whether a novel immunoconjugate containing an anti-EphA2 monoclonal antibody (1C1) linked to a chemotherapeutic agent (monomethyl auristatin phenylalanine [MMAF]) through a noncleavable linker maleimidocaproyl (mc) had antitumor activity against ovarian cancer cell lines and tumor models. METHODS Specificity of 1C1-mcMMAF was examined in EphA2-positive HeyA8 and EphA2-negative SKMel28 ovarian cancer cells by antibody binding and internalization assays. Controls were phosphate-buffered saline (PBS), 1C1, or control IgG-mcMMAF. Viability and apoptosis were investigated in ovarian cancer cell lines and tumor models (10 mice per group). Antitumor activities were tested in the HeyA8-luc and SKOV3ip1 orthotopic mouse models of ovarian cancer. Endothelial cells were identified by use of immunohistochemistry and anti-CD31 antibodies. All statistical tests were two-sided. RESULTS The 1C1-mcMMAF immunoconjugate specifically bound to EphA2-positive HeyA8 cells but not to EphA2-negative cells and was internalized by HeyA8 cells. Treatment with 1C1-mcMMAF decreased the viability of HeyA8-luc cells in an EphA2-specific manner. In orthotopic mouse models, treatment with 1C1-mcMMAF inhibited tumor growth by 85%-98% compared with that in control mice (eg, for weight of HeyA8 tumors, 1C1-mcMMAF = 0.05 g and control = 1.03 g; difference = 0.98 g, 95% confidence interval [CI] = 0.40 to 1.58 g; P = .001). Even in bulkier disease models with HeyA8-luc cells, 1C1-mcMMAF treatment, compared with control treatment, caused regression of established tumors and increased survival of the mice (eg, 1C1-mcMMAF vs control, mean = 60.6 days vs 29.4 days; difference = 31.2 days, 95% CI = 27.6 to 31.2 days; P = .001). The antitumor effects of 1C1-mcMMAF therapy, in SKOV3ip1 tumors, for example, were statistically significantly related to decreased proliferation (eg, 1C1-mcMMAF vs control, mean = 44.1% vs 55.8% proliferating cells; difference = 11.7%, 95% CI = 2.45% to 20.9%; P = .01) and increased apoptosis of tumor cells (eg, 1C1-mcMMAF vs control, mean = 8.6% vs 0.9% apoptotic cells; difference = 7.7%, 95% CI = 3.8% to 11.7%; P < .001) and of mouse endothelial cells (eg, 1C1-mcMMAF vs control, mean 2.8% vs 0.4% apoptotic endothelial cells; difference = 2.4%, 95% CI = 1.4% to 4.6%; P = .034). CONCLUSION The 1C1-mcMMAF immunoconjugate had antitumor activity in preclinical models of ovarian carcinoma.
Supplier and Buyer Market Power, Appropriability and Innovation Activities - Evidence for the German Automobile Industry -

Recent econometric studies only emphasize the role of long-term demand expectations and technological capability. They neglect the impact of buyer market structure on innovative efforts of input suppliers. This paper deals with the effects of supplier and buyer market concentration, and appropriability conditions on the innovative behavior of suppliers within the German automobile industry. The data set contains firms from all size classes and measures of innovation input as well as innovation output. It can be shown that a) innovation and R&D-employment intensity will decline (increase) in buyer concentration if supplier markets are low (high) concentrated, b) buyers' pressure on input prices reduces suppliers' innovation expenditures and their incentive to develop new products, c) a small number of competitors in domestic and foreign suppliers markets and a large stock of customers stimulates innovative behavior, d) small and medium sized suppliers invest more in their innovation activities but have lower probabilities to realize innovations than larger firms, and f) higher technological capabilities lead to a higher innovation input and output.
Compassion-Focused Parenting

The parenting a child receives has profound long-term impacts on that child’s life. The rates of child maltreatment globally are high. Evidence-based parenting programs have been demonstrated to have positive impacts on improving parenting style, whilst reducing childhood social, emotional, and behavioral problems. However, uptake in parenting interventions remains low, and governments have been reluctant to provide evidence-based parenting on a wide scale. This chapter aims, first, to show how the adoption of a public health approach to parenting can be considered wide-scale compassionate action, one that will reduce rates of child maltreatment (suffering), which is also cost-effective. Second, I argue that the next generation of evidence-based parenting programs need to be grounded in evolved, caring motivational systems and affiliative emotion processing, which requires an understanding of the evolved processes involved in parent–offspring caring and brain functioning. This new approach to parenting, “compassion-focused parenting,” will be described.
Signing message architecture development based on open source and validation on a software platform

In this paper we present an architecture development to be used in smart card. The architecture is dedicated for digital signature and it is based in the use of the open hard and soft sources. The development of the digital signature is based on the elliptic curve digital signature algorithm (ECDSA) and uses an open source cryptographic library named Miracl. The hardware development of the architecture is based on the use of the leon2 soft core processor. To make Leon suitable for smart card some changes are made in the open VHDL packages of the leon2 processor. We first in this paper present the simulation of the developed digital signature on an emulator environment of Leon named TSIM. Finally, we show the simulation of the enhanced architecture with the developed elliptic curve digital signature in Modelsim environment. In this paper we prove that nowadays open sources IP cores could be considered as solutions for soc application development.
Investigating the Impact of Intensive Care Unit Interruptions on Patient Safety Events and Electronic Health Records Use: An Observational Study.

BACKGROUND Constant interruptions and continual data flow result in information overload for clinicians and become barriers to identification and extraction of relevant patient data and its correct interpretation. The aim of the study was to describe the types, frequencies, and impact of intensive care unit (ICU) interruptions on patient safety event occurrences and electronic health records (EHR) use. METHODS We conducted a live observational study for 6 weeks, observing critical care physicians' and other providers' communication while recording interruptions, patient safety events, and EHR use. RESULTS Across 55 hours, the researchers observed 7515 ICU tasks, 15.7% of which were interrupted. We found that technological interruptions directly influences the occurrence of patient safety events: an increase in technological interruptions directly contributes to patient safety event occurrence (P = 0.004). Technological interruptions had a direct effect on human interruptions, as the frequency of technological interruptions increase, human interruptions also increase (P = 0.02). CONCLUSIONS A prospective, observational study was conducted to understand the relationship between interruptions and patient safety events and EHR use, in a time-sensitive, activity-based study in a large academic medical center with a certified EHR system. We found that technological interruptions were statistically correlated to the occurrence of patient safety events, and human interruptions significantly affected the level of EHR use. This study recommends that ICUs adopt a safety culture that promotes minimizing unnecessary interruptions, such as side conversations during rounds, for improved quality of care.
Finding a Way - How Iranian Reach for News and Information

Abstract The Iran Media Program publishes its groundbreaking 2011-2012 report on media consumption in Iran: Finding a Way – How Iranians reach for news and information. The report was authored by Magdalena Wojcieszak, Briar Smith and Mahmood Enayat and encompasses the results of two surveys conducted over the past year: the first is a field-based, systematically recruited sample of Iranians in several major metropolitan areas which mirrored the demographics of the country. The second study is an online questionnaire among young, metropolitan, educated and technologically savvy Iranians, and was aimed at illustrating the extent to which these youth employ new media for political purposes over a year after the contested Iranian elections and during the Tunisia, Egypt and Libya uprisings. The report combines the two studies for a comprehensive look at media consumption in Iran. Both studies obtained information on what sources Iranians consider most important for news and information, what kinds of new and traditional media are used and for what purposes, and which new media are used to discuss various issues. The prevalence of Internet use, online activities, and speed of access was assessed, as was the use of and engagement with certain platforms such as blogs, Facebook and Twitter. The surveys also examined the use of circumvention tools as well as the extent to which Iranians think citizens can be empowered through the use of new media. The Iran Media Program is a collaborative network designed to enhance the understanding of Iran‘s media ecology. Our goal is to strengthen a global network of Iranian media scholars and practitioners and to contribute to Iran‘s civil society and the wider policy-making community by providing a more nuanced understanding of the role of media and the flow of information in Iran.
HPI in-memory-based Database System in Task 2b of BioASQ

We describe the participation of the Hasso-Plattner Institut (HPI) team in the BioASQ challenge and in particular in the Task 2b (Phase A), which consisted of providing results for potentially relevant concepts, documents and passages, given a certain question. Our systems relies on the in-memory based database (IMDB) technology and built-in text analysis provided by a IMDB database, as well as external resources, such as BioPortal and the pre-defined ontologies and terminologies to be used for the task. We present an evaluation of a preliminary version of our system on the training dataset (310 questions) and on the three of the test batches of 100 questions. Our results were particularly good for the passage retrieval, including a first position in one of the batches, which prove the feasibility of our approach for the question answering task.
Susceptibility profile of 29 clinical isolates of Rhodotorula spp. and literature review.

OBJECTIVE In vitro susceptibility results of 29 clinical isolates of Rhodotorula spp. were analysed. In addition, the susceptibility profile of another 102 Rhodotorula isolates was reviewed. METHODS The review included studies using antifungal susceptibility testing reference procedures or commercial methods exhibiting high correlation rates with reference procedures (Etest and Sensititre YeastOne). The 131 organisms analysed were 77 Rhodotorula mucilaginosa, 45 Rhodotorula glutinis and nine Rhodotorula spp. RESULTS AND CONCLUSIONS Fluconazole, itraconazole and voriconazole were inactive in vitro against the majority of isolates. Amphotericin B and flucytosine exhibited good activity, being reasonable alternatives for empirical treatment. Ravuconazole was more active in vitro than other azole agents and it could be considered as an extended-spectrum triazole and maybe as a therapeutic alternative in treating infections caused by Rhodotorula species.
Discovery of a new high-redshift QSO at z = 5.96 with the Subaru Telescope

We report the discovery of a new high-redshift quasar at z = 5.96, observed with the long-slit Faint Object Camera and Spectrograph on board the Subaru Telescope. The spectrum shows strong and broad Lya + N v emission lines with a sharp discontinuity to the blue side. A Ly β + Ovi emission line is also detected, providing a consistent redshift measurement with the Lya + N v emission. The quasi-stellar object (QSO) has an absolute magnitude of M AB,1450 = -26.9 (H 0 = 50 km s -1 Mpc -1 , q 0 = 0.5). The spectrum shows significant flux in the region 8000-8300 A and thus does not show a complete Gunn-Peterson trough in the redshift range 5.58-5.82, along the line of sight to this z = 5.96 QSO. Therefore, the Universe was already highly ionized at z = 5.82.
SmartMTra: Put the Limit of the Inertial Sensor Based Indoor Motion Trajectory Tracing Using Smartphone

Motion trajectory tracing in indoor environment has become increasingly important, has the potential to support a broad array of applications including elder care, business analysis, pedestrian navigation. Traditional approaches involve wearable sensors, specialized hardware installations. This paper presents SmartMTra, an infrastructure-free, inertial sensor based motion trajectory tracing system in indoor environment through the use of smartphone. SmartMTra exploits various scenarios in daily activity. It figures out common feature states both in pedestrian's motion mode, smartphone carrying pattern, which can be uniquely identified by adapting domain-divided statistics model techniques. Pedestrian Dead Reckoning (PDR) is applied to trace the pedestrian's real-time motion trajectory with the detected step counts, step-length, heading information. Our experimental evaluation in a campus building demonstrates that errors during 150m travelled distance were 5.2m horizontally, 0.2m during up-down stairs with robustness to scenarios.
Therapeutic targets and new directions for antibodies developed for ovarian cancer

ABSTRACT Antibody therapeutics against different target antigens are widely used in the treatment of different malignancies including ovarian carcinomas, but this disease still requires more effective agents. Improved understanding of the biological features, signaling pathways, and immunological escape mechanisms involved in ovarian cancer has emerged in the past few years. These advances, including an appreciation of the cross-talk between cancer cells and the patient's immune system, have led to the identification of new targets. In turn, potential antibody treatments with various mechanisms of action, including immune activation or toxin-delivery, that are directed at these targets have been developed. Here, we identify established as well as novel targets for antibodies in ovarian cancer, and discuss how they may provide fresh opportunities to identify interventions with enhanced therapeutic potential.
Détection et spécificité de la dépendance à l'exercice physique dans une population d'athlètes à risque

La dependance a l’exercice physique (EP) fait partie des addictions comportementales tout comme le jeu pathologique, qui a recemment integre le cadre diagnostic dans le DSM-5 des « troubles de l’usage », mais son cadre reste mal defini. Cette etude epidemiologique, observationnelle et transversale realisee sur 3 mois (2016-2017) evalue la prevalence de la dependance a l’EP avec l’Exercice Addiction Inventory ainsi que ses liens avec certaines comorbidites psychiatriques (anxiete, depression, alcool, cannabis, TCA), la gestion de la douleur et l’interdiction de pratique du sport. Les athletes interroges sont des adultes recrutes via des clubs (triathlon, trail) ou reseaux sociaux, ils ont repondu a un auto-questionnaire par internet. Selon l’EAI 12,7% des sportifs etaient «a risque de dependance» et se caracterisaient par le fait d’etre plus jeunes (p=0,04), plus a risque de TCA (p=0,02) et de mesusage de l’alcool (p=0,02). Plus le score de l’EAI etait eleve, moins les sportifs pratiquaient (r=0,01) mais plus ils avaient de risque d’avoir des troubles anxieux (p<0,01), depressifs (p=0,03), plus ils declaraient de douleurs en lien avec leur pratique (p=0,01), moins ils respectaient une interdiction sportive (p=0,04). Les athletes « a risque de dependance» etaient donc plus vulnerables a la comorbidite psychiatrique, et plus l’EAI etait eleve, plus les athletes etaient a risque de comorbidites. La relation entre le risque de dependance a l’EP et l’intensite de la pratique existe, mais n’est pas lineaire. Le petit groupe de sportifs avec dependance presente une reelle morbidite et comorbidites qui permettent de proposer des criteres de reperage des sportifs a risque.
Is autism a disease of the cerebellum? An integration of clinical and pre-clinical research

Autism spectrum disorders are a group of neurodevelopmental disorders characterized by deficits in social skills and communication, stereotyped and repetitive behavior, and a range of deficits in cognitive function. While the etiology of autism is unknown, current research indicates that abnormalities of the cerebellum, now believed to be involved in cognitive function and the prefrontal cortex (PFC), are associated with autism. The current paper proposes that impaired cerebello-cortical circuitry could, at least in part, underlie autistic symptoms. The use of animal models that allow for manipulation of genetic and environmental influences are an effective means of elucidating both distal and proximal etiological factors in autism and their potential impact on cerebello-cortical circuitry. Some existing rodent models of autism, as well as some models not previously applied to the study of the disorder, display cerebellar and behavioral abnormalities that parallel those commonly seen in autistic patients. The novel findings produced from research utilizing rodent models could provide a better understanding of the neurochemical and behavioral impact of changes in cerebello-cortical circuitry in autism.
Differential effects of refractive blur on day and nighttime driving performance.

PURPOSE To investigate the effect of different levels of refractive blur on real-world driving performance measured under day and nighttime conditions. METHODS Participants included 12 visually normal, young adults (mean age = 25.8 ± 5.2 years) who drove an instrumented research vehicle around a 4 km closed road circuit with three different levels of binocular spherical refractive blur (+0.50 diopter sphere [DS], +1.00 DS, +2.00 DS) compared with a baseline condition. The subjects wore optimal spherocylinder correction and the additional blur lenses were mounted in modified full-field goggles; the order of testing of the blur conditions was randomized. Driving performance was assessed in two different sessions under day and nighttime conditions and included measures of road signs recognized, hazard detection and avoidance, gap detection, lane-keeping, sign recognition distance, speed, and time to complete the course. RESULTS Refractive blur and time of day had significant effects on driving performance (P < 0.05), where increasing blur and nighttime driving reduced performance on all driving tasks except gap judgment and lane keeping. There was also a significant interaction between blur and time of day (P < 0.05), such that the effects of blur were exacerbated under nighttime driving conditions; performance differences were evident even for +0.50 DS blur relative to baseline for some measures. CONCLUSIONS The effects of blur were greatest under nighttime conditions, even for levels of binocular refractive blur as low as +0.50 DS. These results emphasize the importance of accurate and up-to-date refractive correction of even low levels of refractive error when driving at night.
Wearable items suggestion system using case based reasoning

Today every person wants be attractive and well dressed. Especially, women want to appear beautiful than all others. For this, they go to different parlors and invest lots of money and time. On the other hands, in some countries like Pakistan, India, Afghanistan, it is not normal practice for women to go out and got beauty treatments. In addition to these factors, on different occasions like wedding, engagement, and birthday, people wear special clothing items and do make over. Consequently it is difficult for them each time to go out or find any source who can give them suggestion for wearable and makeover. We resolve this issue by means of design and development of an expert system who suggests party wearable items by just simple clicks and small number of key strokes. The system extracts certain user information from her snap (skin ton, complexion, face shape, facial features) and asks other particulars like height, weight, as well as event type. These attributes are used to search the best related case from system's knowledge base and suggests user the cosmetics, hairstyle, eye wear, contact lenses, dress color, dress type, shoe, etc. The numbers of experiments are performed and the results obtained are matched with the expert's suggestions.
Spectral properties of a matrix of correspondences between terms

The semantic core is widely used for a compact representation of documents in problems of classification and intelligent search. In order to create the semantic core, various methods are available, including the singular value decomposition of a term-document matrix and the eigenvalue decomposition of a matrix of correspondences between terms. In the present paper, we investigate how lengths of documents influence the semantic core created by these methods.