Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Simulation Model of Novel Varistor + Inductor Integrated Passive Devices

This paper describes simulation model improvements of varistor+inductor (VarInd) integrated passive devices (IPD). The original VarInd devices comprise of a cofired varistor and an inductor developed in a ceramic coprocessing technology. These IPDs are intended for use in low-transient and high-frequency electromagnetic interference (EMI) circuit protection. New circuit model is presented with the corresponding simulation results, which better match the experimental results of original devices, making it more useful in predicting the behavior of similar IPD devices
A micropower current-mode sigma-delta modulator for biomedical applications

This paper presents the design of a low power second-order continuous-time sigma-delta modulator for biomedical applications. The loop filter of this modulator has been implemented based on the nonlinear transconductance-capacitor (Gm-C) by employing current-mode technique. The nonlinear transconductance uses floating gate MOS (FGMOS) transistors that operate in weak inversion region. The proposed modulator features low power consumption (≪80uW), low supply voltage (1V) and 62dB dynamic range. Simulation results by HSPICE confirm that it is very suitable for low power biomedical instrumentation designs.
Large Scale Deep Convolutional Neural Network Features Search with Lucene

In this work, we propose an approach to index Deep Convolutional Neural Network Features to support efficient content-based retrieval on large image databases. To this aim, we have converted the these features into a textual form, to index them into an inverted index by means of Lucene. In this way, we were able to set up a robust retrieval system that combines full-text search with content-based image retrieval capabilities. We evaluated different strategies of textual representation in order to optimize the index occupation and the query response time. In order to show that our approach is able to handle large datasets, we have developed a web-based prototype that provides an interface for combined textual and visual searching into a dataset of about 100 million of images.
Book Review: Body image: Understanding body dissatisfaction in men, women, and children, 3rd Edition by Sarah Grogan

analysis possible. They particularly valued accounts that captured both the everyday and political efforts that go into making kinship queer. This edited book would have provided the kind of engagement that not only would they have enjoyed, but also learned a lot from. It is full of fleshy and complex narratives of queer family-making, highlighting both the trials and the tribulations, as well as the contradictions that are frequently inherent to seeking belonging. It is a book that asks the reader to remember that the political work of queering kinship is in paying attention to the small details of our lives that colour the fabric of society. In conclusion, we’d like to draw the readers to what the editors write in their introduction: “It is right that we think deeply on this matter, approach it from many perspectives, for what is at stake is significant. The issue goes to the heart of our humanness, our ability to live and love freely, and fundamentally, to belong. ” For readers of Feminism & Psychology, this book then is an opportunity to learn from and teach our students about ways of solidarity building with/in queer communities that will allow for more diverse ways of making family and belonging – an always already deeply critical feminist project.
L'analyse socio-économique des cheminements longs : l'apport de la microsimulation dynamique dans le champ de l'éducation

Cet article montre comment il est possible, de produire une description stylisee de la diversite des trajectoires individuelles d'une generation en fonction du diplome des individus qui la composent a l'aide d'un modele de microsimulation dynamique. Ce cadre permet de produire une description de la structure des risques de transition entre systeme educatif et marche du travail. Dans une perspective exploratoire, on developpe une analyse de la distribution des taux de rendement interne individuels. Elle nous conduit a confirmer certains resultats sur les rendements differencies de l'education a un niveau donne selon la filiere suivie et d'opposer ainsi les diplomes universitaires a ceux des ecoles (BTS, ecole de commerce, ecole d'ingenieur). Elle nous permet egalement de discuter de la structure incitative sous-jacente aux liens entre le marche du travail et le systeme educatif : pour les lyceens issus des familles modestes plus sensibles au rendement monetaire de leur formation, le choix de s'arreter au Bac apparait plus rentable meme s'il s'avere plus risque.
miR-769-5p suppressed cell proliferation, migration and invasion by targeting TGFBR1 in non-small cell lung carcinoma

MicroRNAs (miRNAs) are key regulators of multiple cancers, including non-small cell lung carcinoma (NSCLC). The aim of this study was to determine the expression pattern of miR-769-5p in NSCLC and to investigate its biological role during tumorigenesis. We showed that miR-769-5p was significantly downregulated and predicted poor prognosis in NSCLC compared with corresponding normal tissues. We then investigated its function and found that miR-769-5p significantly inhibited cell proliferation, migration and invasion in vitro and reduced tumor growth and metastasis in vivo. Furthermore, we explored the molecular mechanisms by which miR-769-5p contributes to NSCLC suppression and identified TGFBR1 as a direct target gene of miR-769-5p. Finally, we showed that TGFBR1 had opposite effects to those of miR-769-5p on lung cancer cells, suggesting that miR-769-5p might inhibit lung tumorigenesis by silencing TGFBR1. Taken together, our results demonstrated that miR-769-5p plays a pivotal role in NSCLC by inhibiting cell proliferation, migration and invasion by targeting TGFBR1.
Selection of method for reactive power compensation and harmonic filtering in industrial plant

The selection of reactive power compensation and higher harmonic filtration method for an exemplary industrial plant was presented in the paper. Based on measurements carried out on the real object, four solutions were proposed i.e. a passive filter, a modified passive filter and an active filter without and with a higher harmonic filter. For the proposed solutions the proper simulations were performed. The results of simulation with the corresponding description were presented. In the conclusions section the advantages and disadvantages of each proposed solution were summarized.
Epicoccum nigrum P16, a Sugarcane Endophyte, Produces Antifungal Compounds and Induces Root Growth

Background Sugarcane is one of the most important crops in Brazil, mainly because of its use in biofuel production. Recent studies have sought to determine the role of sugarcane endophytic microbial diversity in microorganism-plant interactions, and their biotechnological potential. Epicoccum nigrum is an important sugarcane endophytic fungus that has been associated with the biological control of phytopathogens, and the production of secondary metabolites. In spite of several studies carried out to define the better conditions to use E. nigrum in different crops, little is known about the establishment of an endophytic interaction, and its potential effects on plant physiology. Methodology/Principal Findings We report an approach based on inoculation followed by re-isolation, molecular monitoring, microscopic analysis, plant growth responses to fungal colonization, and antimicrobial activity tests to study the basic aspects of the E. nigrum endophytic interaction with sugarcane, and the effects of colonization on plant physiology. The results indicate that E. nigrum was capable of increasing the root system biomass and producing compounds that inhibit the in vitro growth of sugarcane pathogens Fusarium verticillioides, Colletotrichum falcatum, Ceratocystis paradoxa, and Xanthomomas albilineans. In addition, E. nigrum preferentially colonizes the sugarcane surface and, occasionally, the endophytic environment. Conclusions/Significance Our work demonstrates that E. nigrum has great potential for sugarcane crop application because it is capable of increasing the root system biomass and controlling pathogens. The study of the basic aspects of the interaction of E. nigrum with sugarcane demonstrated the facultative endophytism of E. nigrum and its preference for the phylloplane environment, which should be considered in future studies of biocontrol using this species. In addition, this work contributes to the knowledge of the interaction of this ubiquitous endophyte with the host plant, and also to a better use of microbial endophytes in agriculture.
Pushing the Limits: Chronotype and Time of Day Modulate Working Memory-Dependent Cerebral Activity

Morning-type individuals experience more difficulties to maintain optimal attentional performance throughout a normal waking day than evening types. However, time-of-day modulations may differ across cognitive domains. Using functional magnetic resonance imaging (fMRI), we investigated how chronotype and time of day interact with working memory at different levels of cognitive load/complexity in a N-back paradigm (N0-, N2-, and N3-back levels). Extreme morning- and evening-type individuals underwent two fMRI sessions during N-back performance, one 1.5 h (morning) and one 10.5 h (evening) after wake-up time scheduled according to their habitual sleep–wake preference. At the behavioral level, increasing working memory load resulted in lower accuracy while chronotype and time of day only exerted a marginal impact on performance. Analyses of neuroimaging data disclosed an interaction between chronotype, time of day, and the modulation of cerebral activity by working memory load in the thalamus and in the middle frontal cortex. In the subjective evening hours, evening types exhibited higher thalamic activity than morning types at the highest working memory load condition only (N3-back). Conversely, morning-type individuals exhibited higher activity than evening-type participants in the middle frontal gyrus during the morning session in the N3-back condition. Our data emphasize interindividual differences in time-of-day preferences and underlying cerebral activity, which should be taken into account when investigating vigilance state effects in task-related brain activity. These results support the hypothesis that higher task complexity leads to a chronotype-dependent increase in thalamic and frontal brain activity, permitting stabilization of working memory performance across the day.
Lumbar cerebrospinal fluid drainage in severe head injury

Severe head injury (SHI)) is a significant cause of morbidity and mortality in patients with a continuos rise of intracranial pressure;1 hence, intracranial hypertension treatment is of paramount importance in this kind of patients.1,2 In SHI patients intracranial hypertension treatment is focused to improve cerebral perfusion pressure.2 Standard neurointensive measures include mild hyperventilation (PaCO2 near 35 torr), mannitol, sedation and barbiturates, as needed, and ventricular drainage of cerebrospinal fluid.3 Ischemic brain damage Lumbar cerebrospinal fluid drainage in severe head injury
Continuous sampling for online aggregation over multiple queries

In this paper, we propose an online aggregation system called COSMOS (Continuous Sampling for Multiple queries in an Online aggregation System), to process multiple aggregate queries efficiently. In COSMOS, a dataset is first scrambled so that sequentially scanning the dataset gives rise to a stream of random samples for all queries. Moreover, COSMOS organizes queries into a dissemination graph to exploit the dependencies across queries. In this way, aggregates of queries closer to the root (source of data flow) can potentially be used to compute the aggregates of descendent/dependent queries. COSMOS applies some statistical approach to combine answers from ancestor nodes to generate the online aggregates for a node. COSMOS also offers a partitioning strategy to further salvage intermediate answers. We have implemented COSMOS and conducted an extensive experimental study in PostgreSQL. Our results on the TPC-H benchmark show the efficiency and effectiveness of COSMOS.
Simulation: Learning By Doing Revisited

&dquo;We’ll bargain with them, that’ll work&dquo; &dquo;Let’s plan better than a democracy, a no-government&dquo; &dquo;We should all share in that decision&dquo; &dquo;Since we’re isolated, we . &dquo; &dquo;Call me Queen Alice! &dquo; Those are the sounds of elementary children at play. They are experiencing and learning about life, deeply involved in role-playing, practicing the actions of others. Play has been known to be a valuable tool for education since Dewey (1899) stated’;
The Relationship Between Mentee-mentor Gender Combination and the Provision of Distinct Mentoring Functions

Abstract: Purpose – The purpose of this paper is to investigate the relationships between specific gender combinations of mentor-mentee and distinct mentoring functions. Design/methodology/approach – Of the 500 participants, 272 were mentees and 228 were mentors from public- and private-sector organisations, representing all four gender combinations of mentor-mentee. Participants completed a 36-item measure of mentoring functions. Findings – Hierarchical regression analyses revealed few significant relationships between gender and mentoring functions. As far as mentees were concerned, female mentors provided personal and emotional guidance to a greater extent than male mentors; female mentors provided career development facilitation to a greater extent than male mentors and female mentees were provided with career development facilitation to a greater extent than male mentees; also female mentees were provided with role modelling to a greater extent than male mentees. As far as mentors were concerned, there were no significant differences in the functions provided to female and male mentees. Research limitations/implications – The study emphasized the need to use measurement tools that examine distinct, rather than categories of, mentoring functions. The findings also suggest that gender may not be as influential, with regard to mentoring functions, as has previously been proffered. Knowledge about the relationships between gender and particular mentoring functions may be beneficial for potential and actual mentees and mentors as they make decisions about becoming involved in mentoring relationships, engage in contracting processes, and monitor and review their relationships. Originality/value – The study was the first to explore the perceptions of both mentees and mentors on gender differences in mentoring functions provided, using an adequate sample and a mentoring instrument designed on a gender representative sample.
Escalamiento subjetivo de conductas delictivas en legos y expertos

Subjective scaling of crime behaviors by lay and expert persons. In this study, the method of binary comparisons has been used for the subjective scaling of 13 crimes from the current Spanish Penal Law. Two samples were used, the first one was composed of 736 people from five Spanish region (general population), and the second was composed of 141 expert persons in Law. The age of people from the general sample was between 18 and 63 years old, while in the expert sample the age was between 23 and 63 years old. The results indicated, on the one hand, that the scaling of the crimes performed by lay and expert persons depending on the seriousness perception of the crimes were not completely coincident; on the other, that in general population sample, differences in the seriousness perception of threats, sexual harassment and rape crimes were depending on the gender. The results also showed that the scaling of the crimes performed by the older men group was the most coincident with the scaling carried out by the expert persons group.
Die Rolle des Wohlfahrtsstaates in der Entwicklung unterschiedlicher Dienstleistungssektoren: Wohlfahrtsstaatsregime und Dienstleistungsbeschäftigung

Ausgangspunkt dieses Diskussionspapieres ist die von Fritz Scharpf vertretene Auf-fassung, dass wohlfahrtsstaatliche Institutionen masgeblich an der Entwicklung unterschiedlicher Dienstleistungssektoren beteiligt sind. Anhand dieser Idee werden polit-okonomische Hypothesen hergeleitet und schlieslich mittels eines Datensatzes fur 14 OECD Lander und 20 Jahre empirisch getestet. Zunachst werden die traditio-nellen soziookonomischen Determinanten dargestellt und bezuglich ihrer Wirkung auf Dienstleistungssektoren diskutiert. Diese Erklarungsvariablen werden dann um solche erganzt, die sich aus der Idee unterschiedlicher Wohlfahrtsstaatsregime ablei-ten lassen. Hierzu greift das Papier wichtige Zeit variante Indikatoren fur Institutionen auf. Insbesondere sollten passive Wohlfahrtsstaaten mit einem hohen Anteil von So-zialtransfers an den Staatsausgaben und einem mittleren Zentralisierungsgrad der Lohnverhandlung besonders schwach ausgepragte Dienstleistungssektoren aufwei-sen. Die okonometrischen Schatzungen zeigen, dass die Unterscheidung zwischen aktivem und passivem Sozialstaat tatsachlich fur die Beschaftigungsentwicklung be-deutsam ist, wahrend dies fur das Lohnverhandlungssystem nur teilweise nachgewiesen werden kann. Schlieslich deuten simultane Schatzungen darauf hin, dass private Dienstleistungssektoren sich gegenseitig eher verstarken, wahrend of-fentliche Dienstleistungen einen Verdrangungseffekt aufweisen.
Use of a Bioactive Scaffold to Stimulate Anterior Cruciate Ligament Healing Also Minimizes Posttraumatic Osteoarthritis After Surgery

Background: Although anterior cruciate ligament (ACL) reconstruction is the treatment gold standard for ACL injury, it does not reduce the risk of posttraumatic osteoarthritis. Therefore, new treatments that minimize this postoperative complication are of interest. Bioenhanced ACL repair, in which a bioactive scaffold is used to stimulate healing of an ACL transection, has shown considerable promise in short-term studies. The long-term results of this technique and the effects of the bioenhancement on the articular cartilage have not been previously evaluated in a large animal model. Hypotheses: (1) The structural (tensile) properties of the porcine ACL at 6 and 12 months after injury are similar when treated with bioenhanced ACL repair, bioenhanced ACL reconstruction, or conventional ACL reconstruction, and all treatments yield results superior to untreated ACL transection. (2) After 1 year, macroscopic cartilage damage following bioenhanced ACL repair is similar to that in bioenhanced ACL reconstruction and less than in conventional ACL reconstruction and untreated ACL transection. Study Design: Controlled laboratory study. Methods: A total of 64 Yucatan mini-pigs underwent ACL transection and randomization to 4 experimental groups: no treatment, conventional ACL reconstruction, bioenhanced ACL reconstruction using a bioactive scaffold, and bioenhanced ACL repair using a bioactive scaffold. The biomechanical properties of the ligament or graft were examined and macroscopic assessments of the cartilage surfaces were performed after 6 and 12 months of healing. Results: The structural properties (ie, linear stiffness, yield, and maximum loads) of the ligament after bioenhanced ACL repair were not significantly different from those in bioenhanced ACL reconstruction or conventional ACL reconstruction but were significantly greater than those in untreated ACL transection after 12 months of healing. Macroscopic cartilage damage after bioenhanced ACL repair was significantly less than that in untreated ACL transection and bioenhanced ACL reconstruction, and there was a strong trend (P = .068) for less macroscopic cartilage damage than in conventional ACL reconstruction in the porcine model at 12 months. Conclusion: Bioenhanced ACL repair produces a ligament that is biomechanically similar to an ACL graft and provides chondroprotection to the joint after ACL surgery. Clinical Relevance: Bioenhanced ACL repair may provide a new, less invasive treatment option that reduces cartilage damage following joint injury.
The evolution of social learning

Humans differ most from other animals in that their lives are shaped by many cultural practices. Having cultural traits allowed human populations to grow considerably in a short time and to conquer almost all terrestrial habitats on Earth. Cultural traits are not inborn but are instead transmitted between humans through social learning – no individual could build a fully functional kayak without learning from others. Concluding that cultural evolution is thus a separate process from genetic evolution would, however, be rash. The latter has endowed humans with the possibility to learn from others in the first place and prepared learning to make it especially adaptive. To find out what makes humans unique, cultural and genetic evolution, therefore, have to be studied in concert. Although nobody doubts that evolution gave rise to social learning and that the resulting cultural practices serve an adaptive purpose, theoretical works have shown that simple forms of social learning do not improve human adaptedness. This finding contradicts the observations and thus implies that the understanding of social learning is incomplete. Several authors have proposed solutions to this paradox but we find the paradox to be more resilient than is believed. We propose new forms of social learning that could solve it, albeit only under very narrow circumstances. Furthermore, we argue for a new perspective on social learning and, consequently, for a different framework that allows for more realistic learning models. We suggest that the study of the evolutionary origin of social learning should be given equal weight as the study of the evolutionary origin of cooperation and illustrate this by elaborating on the impact of social learning on modern societies and market behaviors in general, and on financial crises specifically.
Computational Discovery of Motifs Using Hierarchical Clustering Techniques

Discovery of motifs plays a key role in understanding gene regulation in organisms. Existing tools for motif discovery demonstrate some weaknesses in dealing with reliability and scalability. Therefore, development of advanced algorithms for resolving this problem will be useful. This paper aims to develop data mining techniques for discovering motifs. A mismatch based hierarchical clustering algorithm is proposed in this paper, where three heuristic rules for classifying clusters and a post-processing for ranking and refining the clusters are employed in the algorithm. Our algorithm is evaluated using two sets of DNA sequences with comparisons. Results demonstrate that the proposed techniques in this paper outperform MEME, AlignACE and SOMBRERO for most of the testing datasets.