A small but powerful body of evidence shows that certain forms of classroom discussion can produce learning gains that go beyond the topics actually discussed. In a range of countries, students who engaged in dialogue showed better initial learning and retained their learning gains for longer periods when compared to untreated comparison groups. In some cases, students who were engaged in learning through dialogue even outperformed their untreated counterparts. In this chapter, we review the evidence and consider why dialogue might produce these effects, looking at both cognitive and motivational-social explanations. Despite evidence of the surprising and robust effects on student learning, it is rare to find dialogic teaching in the classroom. We propose explanations for the resistance to it, from individual teachers and from the system, and suggest that opening up opportunities for more students to learn through dialogue will require researchers and practitioners to work together in new ways.
We measure the static frictional resistance and the real area of contact between two solid blocks subjected to a normal load. We show that following a two-step change in the normal load the system exhibits nonmonotonic aging and memory effects, two hallmarks of glassy dynamics. These dynamics are strongly influenced by the discrete geometry of the frictional interface, characterized by the attachment and detachment of unique microcontacts. The results are in good agreement with a theoretical model we propose that incorporates this geometry into the framework recently used to describe Kovacs-like relaxation in glasses as well as thermal disordered systems. These results indicate that a frictional interface is a glassy system and strengthen the notion that nonmonotonic relaxation behavior is generic in such systems.
Nagavendra Kommineni, Saka, Raju , Khan, Wahid , ו Domb, Abraham J. 2018. “Non-Polymer Drug-Eluting Coronary Stents”. Drug Delivery And Translational Research, 8, 4, Pp. 903–917.
Bioelectronics platforms are gaining widespread attention as they provide a template to study the interactions between biological species and electronics. Decoding the effect of the electrical signals on the cells and tissues holds the promise for treating the malignant tissue growth, regenerating organs and engineering new-age medical devices. This work is a step forward in this direction, where bio- and electronic materials co-exist on one platform without any need for post processing. We fabricate a freestanding and flexible hydrogel based platform using 3D bioprinting. The fabrication process is simple, easy and provides a flexible route to print materials with preferred shapes, size and spatial orientation. Through the design of interdigitated electrodes and heating coil, the platform can be tailored to print various circuits for different functionalities. The biocompatibility of the printed platform is tested using C2C12 murine myoblasts cell line. Furthermore, normal human dermal fibroblasts (primary cells) are also seeded on the platform to ascertain the compatibility.
The field of 3D printing, also known as additive manufacturing (AM), is developing rapidly in both academic and industrial research environments. New materials and printing technologies, which enable rapid and multimaterial printing, have given rise to new applications and utilizations. However, the main bottleneck for achieving many more applications is the lack of materials with new physical properties. Here, some of the recent reports on novel materials in this field, such as ceramics, glass, shape-memory polymers, and electronics, are reviewed. Although new materials have been reported for all three main printing approaches–-fused deposition modeling, binder jetting or laser sintering/melting, and photopolymerization-based approaches, apparently, most of the novel physicochemical properties are associated with materials printed by photopolymerization approaches. Furthermore, the high resolution that can be achieved using this type of 3D printing, together with the new properties, has resulted in new implementations such as microfluidic, biomedical devices, and soft robotics. Therefore, the focus here is on photopolymerization-based additive manufacturing including the recent development of new methods, novel monomers, and photoinitiators, which result in previously inaccessible applications such as complex ceramic structures, embedded electronics, and responsive 3D objects.
To provide new tools for in vitro and in vivo prolactin (PRL) research, novel protocols for large-scale preparation of untagged human PRL (hPRL), a hPRL antagonist (del 1-9-G129R hPRL) that acts as a pure antagonist of hPRL in binding to hPRL receptor extracellular domain (hPRLR-ECD), and hPRLR-ECD are demonstrated. The interaction of del 1-9-G129R hPRL with hPRLR-ECD was demonstrated by competitive non-radioactive binding assay using biotinylated hPRL as the ligand and hPRLR-ECD as the receptor, by formation of stable 1:1 complexes with hPRLR-ECD under non-denaturing conditions using size-exclusion chromatography, and by surface plasmon resonance methodology. In all three types of experiments, the interaction of del 1-9-G129R hPRL was equal to that of unmodified hPRL. Del 1-9-G129R hPRL inhibited the hPRL-induced proliferation of Baf/LP cells stably expressing hPRLR. Overall, the biological properties of del 1-9-G129R hPRL prepared by the protocol described herein were similar to those of the antagonist prepared using the protocol reported in the original study; however, the newly described protocol improved yields by >6-fold. To provide long-lasting hPRL as a new reagent needed for in vivo experiments, we prepared its mono-pegylated analogue and found that pegylation lowers its biological activity in a homologous in vitro assay. As its future use will require the development of a PRL antagonist with highly elevated affinity, del 1-9-G129R hPRL was expressed on the surface of yeast cells. It retained its binding capacity for hPRLR-ECD, and this methodology was shown to be suitable for future development of high-affinity hPRL antagonists using a library of randomly mutated open reading frame of del 1-9-G129R hPRL and selecting high-affinity mutants by yeast surface display methodology.
Although supervised machine learning classification techniques have been successfully applied to detect collapsed buildings, there is still a major problem that few publications have addressed. The success of supervised machine learning strongly depends on the availability of training samples. Unfortunately, in the aftermath of a large-scale disaster, training samples become available only after several weeks or even months. However, following a disaster, information on the damage situation is one of the most important necessities for rapid search-and-rescue efforts and relief distribution. In this paper, a modification of the supervised machine learning classification technique called logistic regression is presented. Here, the training samples are replaced with probabilistic information, which is calculated from the spatial distribution of the hazard under consideration and one or more fragility functions. Such damage probabilities can be collected almost in real time for specific disasters such as earthquakes and/or tsunamis. We present the application of the proposed method to the 2011 Great East Japan Earthquake and Tsunami for collapsed building detection. The results show good agreement with a field survey performed by the Ministry of Land, Infrastructure, Transport and Tourism, with an overall accuracy of over 80%. Thus, the proposed method can significantly contribute to a rapid estimation of the number and locations of collapsed buildings.
Emanuele Brentegani, Anania, Maria Pia, Atzeni, Stefano , Biagioni, Angelo , Chiadroni, Enrica , Croia, Michele , Ferrario, Massimo , Filippi, Francesco , Marocchino, Alberto , Mostacci, Andrea , ו others, . 2018. “Numerical Studies On Capillary Discharges As Focusing Elements For Electron Beams”. Nuclear Instruments And Methods In Physics Research Section A: Accelerators, Spectrometers, Detectors And Associated Equipment, 909, Pp. 404–407.
Honey bees feed on floral nectar and pollen that they store in their colonies as honey and bee bread. Social division of labor enables the collection of stores of food that are consumed by within-hive bees that convert stored pollen and honey into royal jelly. Royal jelly and other glandular secretions are the primary food of growing larvae and of the queen but are also fed to other colony members. Research clearly shows that bees regulate their intake, like other animals, around specific proportions of macronutrients. This form of regulation is done as individuals and at the colony level by foragers.
The paper ponders the object of archaeology, called here ‘the archaeological’. It argues that the existence of such an object is a necessary premise of the field and that ultimately it is on this object that the validity of all claims and arguments must rest. The paper suggests that the archaeological be conceived as a cultural phenomenon that consists in being disengaged from the social, an understanding that positions archaeology as a counterpart to the social sciences and the humanities, rather than a member in the same milieu. The first part of the paper focuses on the position of the archaeological with reference to the concepts of ‘Nature’ and ‘Culture’, which eventually leads us to a confrontation between archaeological statics and the dynamics of the world. Efforts to justify and understand archaeological statics consequently lead to the recognition of a constitutive distinction between buried and non-buried conditions, upon which the differentiation of the archaeological from the social is established.