Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Parametric Transformation Networks

ConvNets, through their architecture, only enforce invariance to translation. In this paper, we introduce a new class of deep convolutional architectures called Non-Parametric Transformation Networks (NPTNs) which can learn general invariances and symmetries directly from data. NPTNs are a natural generalization of ConvNets and can be optimized directly using gradient descent. Unlike almost all previous works in deep architectures, they make no assumption regarding the structure of the invariances present in the data and in that aspect are flexible and powerful. We also model ConvNets and NPTNs under a unified framework called Transformation Networks (TN), which yields a better understanding of the connection between the two. We demonstrate the efficacy of NPTNs on data such as MNIST with extreme transformations and CIFAR10 where they outperform baselines, and further outperform several recent algorithms on ETH-80. They do so while having the same number of parameters. We also show that they are more effective than ConvNets in modelling symmetries and invariances from data, without the explicit knowledge of the added arbitrary nuisance transformations. Finally, we replace ConvNets with NPTNs within Capsule Networks and show that this enables Capsule Nets to perform even better.
Color‐specific interconnections of cones and horizontal cells in the retina of the goldfish

In Golgi preparations of goldfish retina we have observed three types of horizontal cell which receive exclusively from cones and one which receives exclusively from rods. The cone horizontal cells were designated H1, H2 and H3, in order of increasing dendritic spread, increasing separation from the outer synaptic layer, decreasing size of perikaryon, and decreasing density of cone contacts. Slender appendages with knobby terminal enlargements project horizontally from the perikarya and larger dendrites of both rod and cone horizontal cells.
Inhibition by angiotensin II of baroreceptor‐evoked activity in cardiac vagal efferent nerves in the dog.

1. Action potentials were recorded in single baroreceptor fibres dissected from the carotid sinus nerves in dogs during increases in blood pressure caused by I.V. injection of angiotensin II, and by I.V. injection of phenylephrine or inflation of an aortic balloon. Action potentials were recorded in single cardiac efferent fibres dissected from the right cervical vagus nerve in other dogs during increases in blood pressure caused by angiotensin II, and by phenylephrine or by inflation of an aortic balloon. 2. There was no difference in the discharge frequency of single carotid sinus baroreceptor fibres at any blood pressure when phenylephrine, balloon inflation, or angiotensin II were used to raise the pressure. 3. Activity in single cardiac vagal efferent fibres was increased when blood pressure was increased by phenylephrine or by inflation of an aortic balloon. However, when blood pressure rose by a comparable amount in response to angiotensin II, vagal firing decreased (three fibres), was little changed from control levels (four fibres), or increased less than it did in response to phenylephrine (one fibre). 4. It is concluded that while angiotensin II has no effect on baroreceptor sensitivity, it does inhibit vagal discharge which is evoked by stimulation of arterial baroreceptors.
Neuro-inspired system for real-time vision sensor tilt correction

Neuromorphic engineering tries to mimic biological information processing. Address-Event-Representation (AER) is an asynchronous protocol for transferring the information of spiking neuro-inspired systems. Currently AER systems are able sense visual and auditory stimulus, to process information, to learn, to control robots, etc. In this paper we present an AER based layer able to correct in real time the tilt of an AER vision sensor, using a high speed algorithmic mapping layer. A co-design platform (the AER-Robot platform), with a Xilinx Spartan 3 FPGA and an 8051 USB microcontroller, has been used to implement the system. Testing it with the help of the USBAERmini2 board and the jAER software.
Delivering Elastic Containerized Cloud Applications to Enable DevOps

Following recent technological advancements in software systems, like microservices, containers and cloud systems, DevOps has risen as a new development paradigm. Its aim is to bridge the gap between development and management of software systems and enable continuous development, deployment and integration. Towards this end, automated tools and management systems play a crucial role. In this work, we propose a method to develop an autonomic management system for multi-tier, multi-layer data-intensive containerized applications based on a performance model of such systems. The model is shown to be robust and accurate in estimating and predicting the system's performance for various workloads and topologies, while the AMS is capable of regulating the application's behaviour by taking independent actions on its various parts.
Knowledge and Practice of Jordanian Emergency Nurses Caring for Patients With Drug-Seeking Behaviors

The purpose of this study was to investigate the meaning and knowledge level and practices of emergency nurses in Jordan in relation to drug-seeking behaviors in the emergency units in Jordan. A descriptive correlation design was used. Data were collected using self-report questionnaires from 305 emergency nurses, employed in different emergency departments (EDs) in Jordan. The results of this study revealed that the ED nurses had a moderate level of ability to describe patients with drug-seeking behaviors, had moderate agreement on the behaviors that may suggest drug seeking, and a moderate level of knowledge related to drug-seeking behaviors. The analyses also showed that the ED nurses had negative attitudes toward drug-seeking behaviors, and lacked the ability to manage drug-seeking behaviors, when identified. Nurses in the EDs who completed the questionnaires identified a need for more drug seeking-behavior knowledge and skills to assess and manage this condition more effectively.
The Explosive Combination of Religious Decentralization and Autocracy

The relationship between religion and politics is explored from a theoretical standpoint. Religious clerics can be seduced by an autocrat and political stability is at stake. The autocrat's decisions consist of two measures susceptible of antagonising religious clerics: adopting secular reforms and unduly appropriating part of national wealth, which generally are complement. Compared to centralized religions, decentralized religions, such as Islam, tend to discourage secular reforms and corruption but those effects are not guaranteed if the autocrat accepts political instability. The main hypotheses and the central results of the theory are illustrated with regime case studies that refer to contemporary times.
A Semiautomated Method for Quantification of F 18 Florbetapir PET Images

PET amyloid imaging is increasingly used in research trials related to Alzheimer disease and has potential as a quantitative biomarker. This study had 3 objectives: first, to describe a semiautomated quantitative method that does not require subject-specific MR imaging scans for estimating F 18 Florbetapir plaque binding using 10-min PET images; second, to evaluate the method’s accuracy for identifying positive and negative scans; and third, to correlate derived standardized uptake value ratios to neuropathologic measures of amyloid. Methods: The F 18 Florbetapir PET images are initially converted to Montreal Neurologic Institute brain atlas space using an internally developed PET target F 18 Florbetapir template. Subsequently, a single mean cortical standardized uptake value ratio (mcSUVr) is calculated from the mean standardized uptake value of 6 cortical regions normalized to a reference region. Four reference regions were explored: whole cerebellum, cerebellar gray matter, pons, and centrum semiovale. The performance of the resultant mcSUVrs were evaluated in 74 young cognitively normal subjects (age < 50 y) with a negligible likelihood of amyloid β pathology, and in 59 deceased subjects with autopsy-based amyloid β neuritic plaque measure who underwent F 18 Florbetapir PET imaging before death. Results: Significant correlations were obtained between mcSUVrs and 3 different pathologic measures of amyloid deposition at autopsy using all 4 reference regions, with the whole-cerebellum mcSUVr correlating most strongly across pathologic measures (r = 0.71–0.75, P < 0.0001). Using the whole-cerebellum mcSUVr and a threshold mcSUVr of less than 1.10, 100% of young cognitively normal subjects were correctly classified as amyloid-negative (mcSUVr range, 0.87–1.08). Similarly, 20 of 20 autopsy-negative subjects showed mcSUVrs of 1.10 or less, whereas 38 of 39 pathology-verified amyloid-positive subjects had mcSUVrs of more than 1.10. Conclusion: This semiautomated F 18 Florbetapir PET quantification method yielded mcSUVrs that significantly correlated with measures of amyloid pathology at autopsy. The method also effectively discriminated autopsy-identified amyloid-positive and -negative cases using a whole-cerebellum mcSUVr threshold of 1.10.
THE USE OF HYBRID STEREOLITHOGRAPHIC MODELS FOR THE PLANNING OF COMPLEX CRANIOFACIAL PROCEDURES

Preoperative planning of orthognathic surgery is usually based on plaster cast models. Those are integrated in an articulator, simulating the movement of the jaws. We present a new procedure to combine the individual jaw anatomy by stereolithographical models with dental plaster casts, which are more accurately reproducing dental and bony anatomy. For image fusion the patient and the individual plaster casts are scanned by computed tomography, the occlusal planes being covered by a splint with radioopaque makers. After threshold segmentation of both, the plaster cast and the patients skull images are fused. The plaster cast volume is then subtracted from the patients upper and lower jaw, thus sparing out the place for later fusion of stereolithographic model and plaster cast.
Fiber Type Composition and Capillary Density in Relation to Submaximal Number of Repetitions in Resistance Exercise

The purpose of this study was to investigate the relationship between skeletal muscle fiber type composition and the maximum number of repetitions performed during submaximal resistance exercise. Twelve young men performed a maximum repetitions test at 85% of 1 repetition maximum (1RM) in the leg press, which was repeated after 1 week. Seven days after the second 85% 1RM test, they performed a maximum repetitions test at 70% of 1RM in the leg press. This test, at 70% 1RM, was repeated 7 days later. One week before the initiation of the testing sessions, a biopsy sample was obtained from the vastus lateralis muscle and analyzed for fiber type distribution, fiber cross-sectional area, and capillary density (capillaries·mm−2). A low and nonsignificant relationship was found between the fiber type distribution or percent fiber type area and the number of repetitions performed at either 70% or 85% 1RM. Moreover, the number of repetitions performed at 70% or 85% of 1RM was not related significantly with 1RM strength. In contrast, the number of repetitions performed at 70% 1RM was significantly correlated with the number of capillaries per mm2 of muscle cross-sectional area (r = 0.70; p = 0.01). These results suggest that fiber type composition is not the major biological variable regulating the number of repetitions performed in submaximal resistance exercise. Rather, it seems that submaximal strength performance depends on muscle capillary density, which is linked with the endurance capacity of the muscle tissue.
Capturing value from big data – a taxonomy of data-driven business models used by start-up firms

Purpose The purpose of this paper is to derive a taxonomy of business models used by start-up firms that rely on data as a key resource for business, namely data-driven business models (DDBMs). By providing a framework to systematically analyse DDBMs, the study provides an introduction to DDBM as a field of study. Design/methodology/approach To develop the taxonomy of DDBMs, business model descriptions of 100 randomly chosen start-up firms were coded using a DDBM framework derived from literature, comprising six dimensions with 35 features. Subsequent application of clustering algorithms produced six different types of DDBM, validated by case studies from the study’s sample. Findings The taxonomy derived from the research consists of six different types of DDBM among start-ups. These types are characterised by a subset of six of nine clustering variables from the DDBM framework. Practical implications A major contribution of the paper is the designed framework, which stimulates thinking about the nature and future of DDBMs. The proposed taxonomy will help organisations to position their activities in the current DDBM landscape. Moreover, framework and taxonomy may lead to a DDBM design toolbox. Originality/value This paper develops a basis for understanding how start-ups build business models capture value from data as a key resource, adding a business perspective to the discussion of big data. By offering the scientific community a specific framework of business model features and a subsequent taxonomy, the paper provides reference points and serves as a foundation for future studies of DDBMs.
An Overview of Progress in Childhood Cancer Survival

Survival for children with cancer has continued to improve over the past 20 years, with 5-year survival rates now approaching 80% and with an increasing number of children surviving into adulthood. In recognition of the need to address important issues for survivors of childhood cancer, the National Cancer Institute (NCI) has supported the Childhood Cancer Survivor Study (CCSS) since 1993. The CCSS has established a cohort of over 14,000 5-year survivors of childhood cancer initially diagnosed between 1970 and 1986 and has obtained comprehensive summaries of treatment received by these survivors through abstraction of medical records for chemotherapy, radiation therapy, and surgical procedures. Survivors in the CCSS cohort completed a baseline questionnaire and follow up questionnaires to provide information about their current status. The CCSS collected buccal cells for DNA isolation from members of the survivor cohort to allow evaluations of the contribution of genetic factors to long-term sequelae of cancer therapy. The CCSS is now poised to expand its contributions through studies designed to gain greater insight into the biological basis for long-term adverse effects of cancer treatment and is enlarging its efforts to include more recently treated cohorts of patients. The experts present at the work group, Moving the Research Agenda Forward for Children With Cancer, offered several possibilities for utilizing CCSS data in expanding research opportunities concerned with cancer survivorship.
Effects of Dăoyĭn Qìgōng in postpolio syndrome patients with cold intolerance.

UNLABELLED Postpolio syndrome (PPS) is characterized by progressive muscle weakness due to former infection with poliomyelitis and can be associated with other symptoms such as cold intolerance (CI). Dăoyĭn Qìgōng (DQ) is a technique in Traditional Chinese Medicine that impacts the circulation of energy and blood. OBJECTIVE It was to verify the effects of DQ in PPS patients complaining of cold intolerance. METHODS Ten PPS patients were assessed using the visual analogue scale (VAS) adapted for CI before and after intervention with DQ; patients practiced it in a sitting position for 40 minutes, 3 times per week over 3 consecutive months. Patients were reassessed three months after ceasing DQ. RESULTS There was a statistically significant difference in local and systemic VAS-Cold both at the end of DQ training and three months past the end of this. CONCLUSION The DQ technique ameliorated CI complaints in patients with PPS.
Actin-Interacting Proteins in flagellated pathogenic Leishmania spp.: a genome-based bioinformatics report on profilins, formins and katanins

In search for genomic and proteomic evidences of flagellar genes/proteins in Leishmania spp. , we have used available databases and bioinformatics tools to distinguish Actin-Interacting Proteins (AIPs) that are flagellar and, also, probable virulence factors. Here we present results of sequence and structural analyses of profilins, formins and katanins, whose sequences were in silico selected for predicting viable roles on flagellum assembly, disassembly and dynamics in terms of intraflagellar mechanisms. Taken together, our results provide the first bioinformatics analyses of Leishmania profilin, katanin and formin genes and their gene products to contribute to a more detailed annotation of these important AIPs.
Generation of Synthetic Severe Acute Respiratory Syndrome Coronavirus Pseudoparticles: Implications for Assembly and Vaccine Production

ABSTRACT The recently emerged severe acute respiratory syndrome coronavirus (SARS-CoV) contains four structural genes, two replicase-transcriptase open reading frames, and more than five potential genes of unknown function. Despite this relative simplicity, the molecular regulation of SARS-CoV replication and assembly is not understood. Here, we report that two viral genes, encoding the SARS-CoV membrane (M) and nucleocapsid (N) proteins, are necessary and sufficient for formation of virus-like particles. Expression vectors encoding these two proteins were synthesized by using preferred human codons. When M and N expression plasmids were cotransfected into human 293 renal epithelial cells, pseudoparticles formed readily. The addition of a third gene, encoding the spike (S) glycoprotein, facilitated budding of particles that contained a corona-like halo resembling SARS-CoV when examined by transmission electron microscopy, with a buoyant density characteristic of coronaviruses. Specific biochemical interactions of these proteins were also shown in vitro. The S, M, and N proteins of the SARS-CoV are, therefore, necessary and sufficient for pseudovirus assembly. These findings advance the understanding of the morphogenesis of SARS-CoV and enable the generation of safe, conformational mimetics of the SARS virus that may facilitate the development of vaccines and antiviral drugs.
Secretion of IL-1β triggered by dynasore in murine peritoneal macrophages

The interaction of lipopolysaccharide-primed murine peritoneal macrophages with ivermectin, an antiparasite drug which potentiates P2X4 receptors and dynasore which inhibits the GTPase activity of dynamin, a protein contributing to the internalization of plasma membrane proteins, was tested. Murine peritoneal macrophages express P2X4 receptors which are mostly intracellular. In cells from P2X7-knockout mice (KO mice), 10 µm adenosine triphosphate (ATP) provoked a transient increase of the intracellular concentration of calcium. Ivermectin had no effect by itself but potentiated the increase of the intracellular concentration of calcium by ATP. The combination of ATP plus ivermectin also decreased the intracellular concentration of potassium and promoted the secretion of IL-1β. Concentrations of dynasore above 50 µm affected the integrity of mitochondria (MTT test) and of the plasma membrane (release of lactate dehydrogenase, LDH). At a 10 µm concentration, dynasore had no effect on the responses to ATP and on the internalization of P2X4 receptors. By itself dynasore promoted the release of potassium and the secretion of IL-1β after activation of caspase-1. In conclusion, our results confirm that ivermectin potentiates the responses coupled to P2X4 receptors probably by interaction with an allosteric site. We also show that this potentiation triggers the release of IL-1β by macrophages. As opposed to ivermectin, dynasore has no effect on P2X4 receptors. This drug triggers a potassium efflux via a mechanism which does not involve purinergic receptors and generates, in consequence, the activation of caspase-1 and the secretion of IL-1β.
Improving the national board of medical examiners internal medicine subject exam for use in clerkship evaluation

OBJECTIVE: To provide a consensus opinion on modifying the National Board of Medical Examiners (NBME) Medicine Subject Exam (Shelf) to: 1) reflect the internal medicine clerkship curriculum, developed by the Society of General Internal Medicine (SGIM) and the Clerkship Directors in Internal Medicine (CDIM); 2) emphasize knowledge important for a clerkship student; and 3) obtain feedback about students’ performances on the Shelf.DESIGN: Two-round Delphi technique.PARTICIPANTS: The CDIM Research and Evaluation Committee and CDIM members on NBME Step 2 Committees.MEASUREMENTS: Using 1-5 Likert scales (5=highest ratings), the group rated test question content for relevance to the SGIM-CDIM Curriculum Guide and importance for clerkship students’ knowledge. The Shelf content is organized into 4 physician tasks and into 11 sections that are generally organ system based. Each iteration of the Shelf has 100 questions. Participants indicated a desired distribution of questions by physician task and section, topics critical for inclusion on each exam, and new topics to include. They specified the types of feedback clerkship directors desired on students’ performances. Following the first round, participants viewed pooled results prior to submitting their second-round responses.RESULTS: Of 15 individuals contacted, 12 (80%) participated in each round. The desired distribution by physician task was: diagnosis (43), treatment (23), mechanism of disease (20), and health maintenance (15). The sections with the most questions requested were the cardiovascular (17), respiratory (15), and gastroenterology (12) sections. The fewest were requested in aging/ethics (4) and neurology, dermatology, and immunology (5 each). Examples of low-rated content were Wilson’s Disease, chancroid and tracheal rupture (all <2.0). Health maintenance in type 2 diabetes, hypertension, and cardiovascular disease all received 5.0 ratings. Participants desired feedback by: section (4.6) and physician task (3.9), on performances of the entire class (4.0), and for individual students (3.8). CONCLUSION: Clerkship directors identified test content that was relevant to the curricular content and important for clerkship students to know, and they indicated a desired question distribution. They would most like feedback on their students’ performance by organ system-based sections for the complete academic year. This collaborative effort could serve as a model for aligning national exams with course goals.
Binding to Nonmethylated CpG DNA Is Essential for Target Recognition, Transactivation, and Myeloid Transformation by an MLL Oncoprotein

ABSTRACT The MLL gene is a frequent target for leukemia-associated chromosomal translocations that generate dominant-acting chimeric oncoproteins. These invariably contain the amino-terminal 1,400 residues of MLL fused with one of a variety of over 30 distinct nuclear or cytoplasmic partner proteins. Despite the consistent inclusion of the MLL amino-terminal region in leukemia oncoproteins, little is known regarding its molecular contributions to MLL-dependent oncogenesis. Using high-resolution mutagenesis, we identified three MLL domains that are essential for in vitro myeloid transformation via mechanisms that do not compromise subnuclear localization. These include the CXXC/Basic domain and two novel domains of unknown function. Point mutations in the CXXC domain that eliminate myeloid transformation by an MLL fusion protein also abolished recognition and binding of nonmethylated CpG DNA sites in vitro and transactivation in vivo. Our results define a critical role for the CXXC DNA binding domain in MLL-associated oncogenesis, most likely via epigenetic recognition of CpG DNA sites within the regulatory elements of target genes.