nils-herrmann/clean_scirepeval huggingface dataset:
Empirical Formula for Assessment Concrete Compressive Strength by Using Ultrasonic Pulse Velocity
Year: 2019

Statistical practical program was carried out to establish a fairly accurate empirical formula between compressive strength of concrete and ultrasonic pulse velocity. The work has a strong empirical base, but it is firmly governed by theory. In concrete, the compressive strength of concrete is related to the type, proportion and physical properties of aggregate but it is well known to be intensely affected by the properties of the cement paste, which relate, mainly, to the w/c ratio. The other variables such as age and density of concrete, salt content in fine aggregate and curing method have a relatively little effect on compressive strength of concrete. Therefore, the program involves field testing of reinforced concrete members that their w/c ratio and cube uniaxial compressive strength are known. The results were used as input data in statistical program (SPSS) to develop an empirical formula between the compressive strength of concrete and ultrasonic pulse velocity. The proposed formula was confirmed by the results of previous experiments. Although the relationship between the compressive strength of concrete and ultrasonic pulse velocity physically indirect, the statistical program revealed that the pulse velocity test could be used with acceptable error in evaluating the compressive strength of concrete.
Loss of ZnT8 function protects against diabetes by enhanced insulin secretion
Venue: Nature Genetics
Year: 2019

A rare loss of function allele p.Arg138* in SLC30A8 encoding the zinc transporter 8 (ZnT8) which is enriched in Western Finland, protects against type 2 diabetes (T2D) We recruited relatives of the identified carriers and showed that protection was associated with better insulin secretion due to enhanced glucose responsiveness and proinsulin conversion, particularly when compared with individuals matched for the genotype of a common T2D risk allele in SLC30A8, p.Arg325. In genome edited human induced pluripotent stem cell (iPSC) derived b like cells, we establish that the p.Arg138* allele results in reduced SLC30A8 expression due to haploinsufficiency. In human b cells, loss of SLC30A8 leads to increased glucose responsiveness and reduced KATP channel function similar to isolated islets from carriers of the T2D protective allele p.Trp325. These data position ZnT8 as an appealing target for treatment aimed at maintaining insulin secretion capacity in T2D.The rare loss of function allele p.Arg138* in SLC30A8 (encoding ZnT8) mediates protection against type 2 diabetes (T2D) through promoting better insulin secretion and enhanced glucose responsiveness, suggesting ZnT8 as a target for T2D treatment.
JAK inhibitors for the treatment of alopecia areata
Year: 2019

Alopecia areata (AA) is a kind of localized scalp hair loss of sudden onset, and patients with severe AA can progress to alopecia totalis (AT) and alopecia universalis (AU) At present, AA is considered as a kind of organ specific autoimmune disease with a genetic background, and destruction of immune privileged structures of hair follicles is an important pathogenesis of AA. Currently, therapeutic methods for AA include oral or topical glucocorticoids, intramuscular or intralesional injection of glucocorticoids, topical minoxidil tincture, etc. but some patients still show no response to the treatments. In recent years, various clinical trials have been conducted in abroad using JAK inhibitors for the treatment of AA. Researches have revealed that about half of patients with moderate to severe AA showed almost complete recovery after the treatment with oral JAK inhibitors. Topical ruxolitinib was also reported for the treatment of AA, but patients showed different response. Although some patients suffered from recurrence after drug withdrawal or infections and other adverse reactions during the treatment, JAK inhibitors can be an effective treatment option for moderate to severe AA.  Alopecia areata; Janus kinases; Janus kinase inhibitors; Treatment
Home Studio: A Mixed Reality Staging Tool for Interior Design
Venue: CHI Extended Abstracts
Year: 2021

Home design services employ virtual real estate staging to visually convey proposals to prospective customers, instilling confidence in property owners on how spaces will look once they are furnished. However, creating room scale visualizations requires days of expert labor to composite products on images provided by the customer. Advances in 3D capture now let users scan their spaces with a smartphone in a matter of minutes, enabling scale accurate mixed reality experiences that can be leveraged to lower the skill bar and time required to produce visualizations of furniture in the user's context. We present Home Studio, a web based tool that lets designers stage any Matterport scan and generate photorealistic renders of products in the user's context. Our tool enables a drag and drop experience that reconstructs the perspective view of the Matterport scene in a remote service, employing a rendering engine to produce a photorealistic composite.
En Marruecos "te tratan como un insecto"
Year: 2020

Las autoridades de Marruecos, que reconocen que el modelo de desarrollo de este pais no ha alcanzado sus objetivos, especialmente en materia de creacion de empleo, piensan en una nueva estrategia. Esta reflexion se ha iniciado en un contexto marcado por el agravamiento de las desigualdades, por el atraso acumulado en ambitos como la sanidad y por la persistencia de la contestacion popular encarnada por el Hirak del Rif.
Comparison of Privacy Preserving Distributed Deep Learning Methods in Healthcare
Venue: MIUA
Year: 2021

In this paper, we compare three privacy preserving distributed learning techniques: federated learning, split learning, and SplitFed. We use these techniques to develop binary classification models for detecting tuberculosis from chest X rays and compare them in terms of classification performance, communication and computational costs, and training time. We propose a novel distributed learning architecture called SplitFedv3, which performs better than split learning and SplitFedv2 in our experiments. We also propose alternate mini batch training, a new training technique for split learning, that performs better than alternate client training, where clients take turns to train a model.
El autoconcepto musical, motivacion y bienestar psicologico del alumnado de conservatorio
Year: 2015

Los estudios sobre el autoconcepto en centros especializados de musica son escasos, a menudo se han llevado a cabo con instrumentos de medida unidimensionales y la mayoria de las investigaciones se han realizado en la cultura anglosajona, por tanto no se dispone en nuestro idioma de instrumentos de medida del autoconcepto musical. Por otro lado, no se han encontrado estudios que relacionen el autoconcepto musical con las variables de bienestar psicologico del alumnado de musica.Los objetivos de esta tesis son: 1 adaptar el Music Self Perception Inventory (MUSPI) de Vispoel (1993) a nuestro idioma y contexto y verificar si cumple las caracteristicas psicometricas exigibles; 2 comprobar la capacidad discriminativa del MUSPI adaptado y validado y estudiar la variabilidad del autoconcepto musical y sus dimensiones en relacion al genero, edad, nivel de estudios y grupo instrumental; 3 Analizar las relaciones entre el autoconcepto musical, el autoconcepto general, las atribuciones causales, la ansiedad rasgo y la satisfaccion con la vida del alumnado de conservatorio. Una amplia muestra (N=1126) de alumnos de conservatorios profesionales y superiores de varias Comunidades Autonomas contesto el MUSPI, el AUDIM (cuestionario que mide las dimensiones del autoconcepto general) la escala de Ansiedad rasgo (STAI) la escala de Satisfaccion con la Vida (SWLS) e items sobre atribuciones causales.Los resultados a los tres objetivos fueron los siguientes: 1 se comprueba que el MUSPI adaptado y reducido es una herramienta util para medir el autoconcepto musical en nuestra poblacion; 2 el autoconcepto musical varia segun la edad, genero, nivel de estudios y grupo instrumental y se observan mas diferencias significativas al comparar las dimensiones del autoconcepto musical que al comparar la media; 3 Los resultados muestran correlaciones positivas entre las dimensiones del autoconcepto musical y el autoconcepto general, entre las atribuciones causales adaptativas y los diversos autoconceptos, asi como entre la satisfaccion con la vida, las atribuciones causales adaptativas y los diversos autoconceptos. Mientras que las correlaciones negativas se producen con respecto a la ansiedad rasgo y las atribuciones causales no adaptativas.
Complicated Grief and Post Traumatic Growth in Traumatically Bereaved Siblings and Close Friends
Year: 2020

Experiencing a loss is hard, and traumatic deaths may add to the strain. However, many bereaved may experience post loss positive changes, also known as post traumatic growth. The aim of this paper was to explore the relationship between complicated grief and post traumatic growth in 131 young adults, either close friends or siblings. Significant differences were found between males and females, were females had higher scores on PTG, but not between siblings and close friends. Most growth was reported for relationship with others and appreciation of life.
A Short Course in Teaching Reading: Practical Techniques for Building Reading Power
Year: 2011

Reading and Literacy: Some Connections What Is Reading? What Is Literacy?  Learning Not to Read Every Word 1. Cloze Exercises 2. Scanning 3. Reading Faster D. Improving Bottom up Processing 1. Perceptual Skills: Recognizing English Letters and Words 2. Automatic Decoding 3. Linguistic Features and Bottom up Processing 4. Lexical Items That Signal Textual Cohesion 5. Lexical Items That Signal Textual Organization E. Vocabulary Building 1. Sources of Words for Vocabulary Teaching and Learning 2. Direct Instruction of Selected Vocabulary 3. Strategies for Vocabulary Building F. Text Structure and Comprehension: Topics and Main Ideas 1. Understanding Sentences 2. Topics and Main Ideas G. Text Structure and Comprehension: Patterns of Organization 1. Frequently Used Patterns in English 2. Four of the Easiest Patterns to Learn 3. Practice in Identifying the Four Patterns 4. Two More Difficult Patterns to Learn H. Strategic Reading and Study Skills 1. Reading Longer Passages 2. Summarizing 3. Study Reading 4. Critical Reading Appendix I Further discussion of selected topics mentioned in the book Appendix II Phonemes and their spelling Appendix III High frequency word lists Appendix IV: Table of common collocations in academic texts Appendix V Answer key for selected skills exercises Bibliography
De novo design of modular and tunable allosteric biosensors
Venue: bioRxiv the preprint server for biology
Year: 2020

Naturally occurring allosteric protein switches have been repurposed for developing novel biosensors and reporters for cellular and clinical applications 1, but the number of such switches is limited, and engineering them is often challenging as each is different. Here, we show that a very general class of allosteric protein based biosensors can be created by inverting the flow of information through de novo designed protein switches in which binding of a peptide key triggers biological outputs of interest 2. Using broadly applicable design principles, we allosterically couple binding of protein analytes of interest to the reconstitution of luciferase activity and a bioluminescent readout through the association of designed lock and key proteins. Because the sensor is based purely on thermodynamic coupling of analyte binding to switch activation, only one target binding domain is required, which simplifies sensor design and allows direct readout in solution. We demonstrate the modularity of this platform by creating biosensors that, with little optimization, sensitively detect the anti apoptosis protein Bcl 2, the hIgG1 Fc domain, the Her2 receptor, and Botulinum neurotoxin B, as well as biosensors for cardiac Troponin I and an anti Hepatitis B virus (HBV) antibody that achieve the sub nanomolar sensitivity necessary to detect clinically relevant concentrations of these molecules. Given the current need for diagnostic tools for tracking COVID 19 3, we use the approach to design sensors of antibodies against SARS CoV 2 protein epitopes and of the receptor binding domain (RBD) of the SARS CoV 2 Spike protein. The latter, which incorporates a de novo designed RBD binder, has a limit of detection of 15pM with an up to seventeen fold increase in luminescence upon addition of RBD. The modularity and sensitivity of the platform should enable the rapid construction of sensors for a wide range of analytes and highlights the power of de novo protein design to create multi state protein systems with new and useful functions.
Learning to learn by gradient descent by gradient descent
Venue: NIPS
Year: 2016

The move from hand designed features to learned features in machine learning has been wildly successful. In spite of this, optimization algorithms are still designed by hand. In this paper we show how the design of an optimization algorithm can be cast as a learning problem, allowing the algorithm to learn to exploit structure in the problems of interest in an automatic way. Our learned algorithms, implemented by LSTMs, outperform generic, hand designed competitors on the tasks for which they are trained, and also generalize well to new tasks with similar structure. We demonstrate this on a number of tasks, including simple convex problems, training neural networks, and styling images with neural art.
Using Volume Morphing to Alter Panel Designs to Compensate Shape Distortion in Assembly
Venue: J. Comput. Inf. Sci. Eng.
Year: 2010

As automotive panels are assembled in a vehicle, they are subjected to shape distorting forces, e.g. the pressure of door seals. A standard technique for preventing shape distortions is to alter the panels' computer aided design (CAD) in such a way that the panels assume the desired design shape under the action of the distorting forces. Volume morphing, a technique pioneered by Bezier (1978, "General Distortion of an Ensemble of Biparametric Patches,"  pp. 116 120) and by Sederberg and Parry (1986, "Free Form Deformation of Solid Geometric Models," International Conference on Computer Graphics and Interactive Techniques, Proceedings of the 13th Annual Conference on Computer Graphics, pp. 151 160) has been extended and implemented in a computer software package called FESHAPE created at the General Motors Research and Development Center. FESHAPE automatically modifies CAD models according to a finite set of displacement vectors obtained, e.g. from finite element analysis or scanning tryout parts. This article discusses how FESHAPE has been successfully applied to compensate door panel distortion caused by door seals.
Eficacia y tolerabilidad de cinitaprida en el tratamiento de los pacientes con dispepsia funcional y vaciamiento gastrico enlentecido
Year: 2009

Resumen Introduccion/objetivos La dispepsia funcional es un trastorno muy frecuente, cuyos mecanismos fisiopatologicos todavia no son bien conocidos y sobre la que los procineticos parecen tener utilidad. El objetivo del presente estudio fue evaluar el efecto procinetico de cinitaprida en pacientes con dispepsia funcional tipo dismotilidad y enlentecimiento del vaciamiento gastrico. Metodos De forma aleatoria, 19 pacientes recibieron 1 mg de una solucion oral de cinitaprida t.i.d. o placebo durante 4 semanas en dos periodos consecutivos, segun un diseno cruzado y a doble ciego. La variable principal fue la media del cambio en el tiempo de vaciamiento gastrico a la mitad respecto al valor basal tras ingesta liquida, a las 4 semanas de tratamiento, cuantificado mediante ecografia de alta resolucion en tiempo real. Resultados Al finalizar el tratamiento, la media del tiempo de vaciamiento gastrico a la mitad disminuyo para ambos tratamientos, sin diferencias estadisticamente significativas entre ellos (p 0,8720) Esta disminucion resulto mayor para cinitaprida respecto a placebo (p 0,0169) cuando se analizo a los pacientes con un vaciamiento de leve a moderadamente enlentecido. Para este grupo de pacientes, cinitaprida resulto estadisticamente superior a placebo en el area bajo la curva porcentual del area antral y en el porcentaje de dias libres de nauseas. La administracion de cinitaprida fue bien tolerada, con un perfil de seguridad comparable a placebo. Conclusiones Cinitaprida oral es segura, facilita el vaciamiento gastrico y mejora la sintomatologia clinica en pacientes con dispepsia funcional tipo dismotilidad y enlentecimiento del vaciamiento gastrico leve moderado.
Progress toward autonomous experimental systems for alloy development
Venue: MRS Bulletin
Year: 2019

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Asymmetric 3D Convolutional Neural Networks for action recognition
Venue: Pattern Recognit.
Year: 2019

Neural Network based action recognition methods have achieved significant improvements in recent years. The 3D convolution extends the 2D convolution to the spatial temporal domain for better analysis of human activities in videos. The 3D convolution, however, involves many more parameters than the 2D convolution. Thus, it is much more expensive on computation, costly on storage, and difficult to learn. This work proposes efficient asymmetric one directional 3D convolutions to approximate the traditional 3D convolution. To improve the feature learning capacity of asymmetric 3D convolutions, a set of local 3D convolutional networks, called MicroNets, are proposed by incorporating multi scale 3D convolution branches. Then, an asymmetric 3D CNN deep model is constructed by MicroNets for the action recognition task. Moreover, to avoid training two networks on the RGB and Flow frames separately as most works do, a simple but effective multi source enhanced input is proposed, which fuses useful information of the RGB and Flow frame at the pre processing stage. The asymmetric 3D CNN model is evaluated on two of the most challenging action recognition benchmarks, UCF 101 and HMDB 51. The asymmetric 3D CNN model outperforms all the traditional 3D CNN models in both effectiveness and efficiency, and its performance is comparable with that of recent state of the art action recognition methods on both benchmarks.
Innovative Conceptual Design of Manual Concrete Block Making Machine
Year: 2016

One of the basic human needs is having a proper shelter. Due to the rapid population and urbanization growth, there is an escalating demand for affordable housing in Kenya. This necessitates looking for ways to reduce construction costs, particularly for low income housing group. Concrete block construction has recently gained significance, however most of the commercially available block making machines are imported and also expensive. Locally made affordable block making machine would render useful in lowering the cost of construction. This project, therefore, was aimed to complete a conceptual design of an innovative undemanding stationary manually operated concrete block machine that molds concrete blocks at a fraction of a cost in comparison with power operated options. The target specifications were derived from the customers' needs data collected during the local workshops' visits and from the secondary sources, mainly patents. Three design alternatives were developed; alternative design #3 was chosen by the engineering design decision weighted matrix and by the drop and re vote (D&R) method. The originality of this design is essentially in the ejection system: as opposed to many block making machines available which ejects blocks instead of the mould, this machine ejects the mould leaving the blocks on the base plate. Mild steel was a material of choice for the machine. A static simulation study on the frame model, which was fixed at the bottom mounting and an overall normal force of 981N or 100 Kg applied at the base plate was done using Engineering Design Software: SolidWorks, 2013 (design and simulation tool) The study included Stress, Displacement, and Strain analysis. Conceptual design of manual concrete block making machine was optimized according to results of simulations, calculations and fundamental engineering design principles. Cost estimation shows that this simple and economical piece of equipment could have a potential in lowering the cost of construction. To ascertain a potential, however, the authors propose further work on prototyping and testing to be carried out.  block making, concrete, design, machine.
Engineering of dispersion curves and band gaps in a phononic crystal made of pillars on a membrane or substrate
Year: 2013

We present the recent progress in our theoretical work about the acoustic properties of phononic crystals constituted by a periodic array of pillars on a membrane or on a substrate. In the case of a thin membrane, we have shown, in addition to the Bragg gaps, the possibility of a much lower frequency gap related to the geometrical parameters of the structure. We discuss the origin of the latter and more generally the high bending and flatness of the lowest dispersion curves in this structure. When the thickness of the membrane is increased and progressively approaches the case of a semi infinite substrate, some of the bent or flat dispersion curves remain below the sound cone of the substrate in some part of the Brillouin zone and become surface acoustic waves. It becomes possible to find absolute band gaps between the surface wave dispersion curves, and then a waveguide or a cavity located at the surface can give rise to surface confined phonons. The above effects can be investigated through the calculation of the band structures and transmission coefficients. A second part of the work is dealing with the effect of the shape of the pillars on the engineering of the band gaps. For instance, we have shown that pillars of conic shape can significantly widen the band gaps and lower their frequencies. The maximum effect is obtained for some angle of the cone with respect to a cylindrical shape. We study also other geometries such as multilayer pillars or pillars deposited on both faces of a membrane. The last part of the work is dealing with the calculation of the effective properties of the phononic crystal when the wavelength is much larger than the period, for instance to investigate the possibility of negative mass density in the vicinity of local resonances. We use a numerical method developed by Zhu et al ( (2012) where the dynamic mass tensor is calculated by applying an external displacement field perturbation on the boundaries of a unit cell and the induced forces exerted on these boundaries are evaluated at each frequency. A similar approach is used to obtain the effective elastic constants.