nils-herrmann/clean_scirepeval huggingface dataset:
Isolation and characterization of starch degrading rhizobacteria from soil of Jimma University Main Campus, Ethiopia
Year: 2018

Starch degrading bacteria are important for different industries such as food, fermentation, textile, and paper. The aim of this study is to isolate and characterize bacteria able to degrade starch from the rhizospheres of various plants at four sites located in Jimma University main campus. Collected soil samples were labeled as kobo (AJUMC) Avocado (BJUMC) Banana (CJUMC) and Cana indica (DJUMC) respectively. Soil samples were serially diluted in sterilized peptone water, poured on sterilized starch agar plates, and incubated at 32oC for 48 h. The representative colonies showing different morphology was randomly picked up using the streaking method on nutrient agar. A total of 53 bacterial isolates were obtained from the soils rhizospheres. Microscopic characteristics showed that among the 53 isolates, 38 (72% were Gram positive rod shaped bacteria, while 15 (28% were Gram negative rod shaped bacteria. Based on the biochemical tests, the results revealed that the 38 isolates belonged to the genera Bacillus while the remaining isolates belonged to the genera Pseudomonas. All isolates were catalase positive and only 15 isolates (Pseudomonas) were KOH positive with negative growth at 80degC, while the 38 (Bacillus) isolates have positive growth at 80oC. The highest values of starch degrading index were the Gram positive bacteria isolates. The amylase activity was also carried out with respect to time, temperature and pH of the media. The maximum activity of amylase at different temperatures from 35 to 45degC was recorded at 35degC (0.94 U/ml) within 24 h, while maximum activity at different pH from 5 to 9 was recorded at pH 7 (1 U/ml)  Rhizobacteria, starch degrading, amylase enzyme, Bacillus,
Retrocausal Hologram Dark Energy as LNIF Advanced Wheeler Feynman Hawking Unruh Blackbody Real Photons Equivalent to LIF Zero Point Vacuum Virtual Photons
Year: 2012

The cosmic microwave background black body radiation consists of retarded photons from the surface of last scattering remnant of the hot Big Bang. In contrast, the dark energy accelerating our observable universe is back from the future advanced Wheeler Feynman Hawking Unruh black body radiation from our observer dependent future event horizon that may also be the hologram screen.
A practitioner's guide to developing critical appraisal skills: what is the difference between clinical and statistical significance?
Venue: Journal of the American Dental Association
Year: 2013

It is common to find published studies in which the authors claim to have found significant results. However, many times these results are only statistically significant with no meaningful impact in clinical settings.  The authors aim to clarify and differentiate the concepts of statistical and clinical significance, as well as to provide guidance on how to interpret research results to determine whether an observed difference is meaningful.  Study results are considered to be statistically significant if statistical tests that examine the null hypothesis of no difference yield P values that are smaller than the significance level prespecified by the authors. In this way, researchers can use hypothesis testing to assess the possibility that observed results could have arisen by chance. However, hypothesis testing cannot establish the clinical implications of these results. Rather, clinical significance can be established once the magnitude of results is larger than the minimal clinically important difference. Clinical significance then would encompass not only statistical significance, but also the importance of the outcomes to patients, clinicians and policymakers.  The values for statistical significance alone cannot convey the complete picture of the effectiveness of an intervention or of a difference between two groups. Both clinical and statistical significance are important measures for interpretation of clinical research results and should complement each other.  Any benefit in terms of improved health outcomes must be both clinically and statistically significant. If there is no benefit at the threshold of both clinical and statistical improvement, then the intervention should not be used for that purpose.
Design and Manufacturing of Soybean Epidermis Peeler Machine
Year: 2019

The soybean epidermis peeler machine was a machine used to peel of soybean epidermis from the soybean. The purpose of the study was to design and manufacture of soybean epidermis peeler machine with a capacity of 3 kg for a process. In this study, the soybean epidermis peeler machine was designed and manufactured with uses 2 shaft to peel the soybean epidermis from the soybean. From the process of designing and manufacturing, has produced a soybean epidermis peeler machine with a capacity of 3 kg for a process. The machine uses a electric motor with a power of 0. 5 HP. The transmission system uses pulley transmission between electric motor with 1 st shaft and uses sprocket and gear transmission between 1 st shaft and 2 nd shaft.
PAN precursor fabrication, applications and thermal stabilization process in carbon fiber production: Experimental and mathematical modelling
Year: 2020

Polyacrylonitrile (PAN) is a versatile man made polymer and has been used in a large array of products since its first mass production in the mid 40s. Among all applications of PAN the widely used application is in manufacture of precursor fiber for fabrication of carbon fibers. The process of PAN based carbon fiber production comprises fiber spinning, thermal stabilization and carbonization stages. Carbon fiber properties are significantly dependent on the quality of PAN precursor fiber and in particular the process parameters involved in thermal stabilization. This paper is the first comprehensive review that provides a general understanding of the links between PAN fiber structure, properties, and its stabilization process along with the use of mathematical modelling as a powerful tool in prediction and optimization of the processes involved. Since the promise of the mathematical modelling is to predict the future behaviour of the system and the value of the variables for the unseen or unmeasured domain of variables; and in the era of industry 4.0 rise, this review will be valuable in further understanding of the intricate processes of carbon fiber manufacture and utilising the advanced mathematical modelling using machine learning techniques to predict and optimize a range of critical factors that control the quality of PAN and resultant carbon fibers.
Financial Development, Trade Openness and Economic Growth: A Trilateral Analysis of Bahrain
Year: 2014

This study investigates the relationship between trade openness, financial development and economic growth for the Kingdom of Bahrain. Time series data are utilized form 1980 till 2012. The vector error correction model (VECM) in combination with innovation of accounting (variance decomposition and impulse response function) analysis are employed to explore the causal relationship between the variables. The stationarity properties of the data and the order of integration are tested using both the Augmented Dickey Fuller (ADF) test and the Phillips Perron (PP) test. All variables are found to be cointegrated indicating the existence of long run relationship. The empirical findings show that trade openness and financial development have causal impact on economic growth. Conversely, growth is found to have no causal impact on trade and financial development, implying support for "trade led growth" and "finance led growth" hypotheses. Furthermore, the results show a short run causality from financial development to trade openness. The findings suggest that trade openness and financial development are important elements in determining economic growth in Bahrain. Therefore, Bahrain should continue to patronize the development of its financial sector and to allow more trade openness in order to achieve a high and sustainable economic growth.
Biodegradable Polymer Blends and Their Biocomposites: Compatibilization and Performance Evaluation
Year: 2015

BIODEGRADABLE POLYMER BLENDS AND THEIR BIOCOMPOSITES: COMPATIBILIZATION AND PERFORMANCE  Non biodegradable polymers, polymer blends and composites are known to persist in the environment over a long time. The use of certain biodegradable polymers is limited as they often fail to match some of the non biodegradable counterpart perfromances. Blends of biodegradable polymers and composites with complementary attributes can provide materials that strike a balance between cost and performance. This research was focused on the fabrication and performance evaluation of biodegradable polymer blends and composites, as potential alternatives to non biodegradable polymeric materials. Industrially viable melt processing techniques like extrusion and injection molding were adopted to fabricate and evaluate the structure property relationship of biodegradable polymer blends and composites. In this research work, two different types of commercially available biodegradable polyesters, namely poly(butylene adipate co terephthalate) (PBAT) and poly(butylene succinate) (PBS) were used to fabricate binary blends and composites. Melt blending these two polymers yielded synergistic properties, which are not present in the respective polymers. The optimal PBS/PBAT blend was selected based on its overall performance and it was used as the standard biocomposite matrix. Miscanthus is a purpose grown energy crop and has not been explored much for polymer Advisor: Dr. Amar K. Mohanty Co advisor: Dr. Manjusri Misra Rajendran Muthuraj University of Guelph, 2015
KEKERASAN VERBAL DALAM RUMAH TANGGA DI DESA PEKAN GUNUNG MERIAH KECAMATAN GUNUNG MERIAH KABUPATEN DELI SERDANG (KAJIAN SOSIOPRAGMATIK)
Year: 2018

Penelitian ini bertujuan untuk mendeskripsikan jenis tindak tutur kekerasan verbal, referensi kekerasan verbal dan bentuk kekerasan verbal yang terjadi dalam rumah tangga. Jenis penelitian yang dipakai penulis adalah metode deskriptif kualitatif. Tehnik pengumpulan data yang digunakan agar memperoleh data secara mendetail adalah tehnik rekam dan catat. Dari hasil penelitian diperoleh jenis tindak tutur kekerasan verbal pada keluarga I, Asertif 3 data, direktif 9 data, deklaratif 4 data. Sedangkan jenis tindak tutur kekerasan verbal pada keluarga II, asertif 1 data, direktif 2 data, deklaratif 2 data. Referensi kekerasan verbal dalam rumah tangga pada keluarga I, mahkluk halus 1 data, aktivitas 3 data, bagian tubuh 8 data, binatang 1 data, sedangkan pada keluarga II, aktifitas 1 data, bagian tubuh 1 data. Bentuk kekerasan verbal dalam rumah tangga pada keluarga I, kata 4 data, frasa 6 data dan klausa 4 data, sedangkan pada keluarga II, frasa 3 data, klausa 1 data.
Trivial Transfer Learning for Low Resource Neural Machine Translation
Venue: WMT
Year: 2018

Transfer learning has been proven as an effective technique for neural machine translation under low resource conditions. Existing methods require a common target language, language relatedness, or specific training tricks and regimes. We present a simple transfer learning method, where we first train a "parent" model for a high resource language pair and then continue the training on a low resource pair only by replacing the training corpus. This "child" model performs significantly better than the baseline trained for low resource pair only. We are the first to show this for targeting different languages, and we observe the improvements even for unrelated languages with different alphabets.
Model Order Reduction and domain decomposition strategies for the solution of the dynamic elastic plastic structural problem
Year: 2015

A new strategy for the efficient solution of highly nonlinear structural problems is proposed, based on the combined use of Domain Decomposition (DD) and snapshots version of the Proper Orthogonal Decomposition (POD) techniques. The formulation here presented is tailored for applications in elastic plastic structural dynamics. In this context the POD is applied to domains that remain elastic and a double strategy to update the reduced basis is adopted. First, the Singular Value Decomposition (SVD) proposed allows to update the reduced basis as soon as a new snapshot is stored; secondly, an online adaptation technique of the reduced space is performed, through a plastic check during the reduced analysis. The applications show that the computation time necessary for solving elastic plastic problems can be reduced of approximately 50% while keeping accuracy comparable to that obtained for the full model with a classical monolithic method.
[Coping with Stress During Childhood and Adolescence]
Venue: Praxis der Kinderpsychologie und Kinderpsychiatrie
Year: 2019

Coping with Stress During Childhood and Adolescence Humans already start to show stress responses on a physical and mental level in early childhood. Numerous studies have demonstrated age and gender related differences in experiencing and managing stress. During the transitional period of adolescence young people often experience higher stress levels. This might lead to a higher vulnerability for maladaptive stress responses. In other words, adolescents who do not have adequate coping strategies to deal with the developmental challenges of puberty might be at risk for later physical and mental symptoms. On the other hand, adequate coping strategies represent a protective factor. Therefore, education and prevention in home and school settings are of particular relevance for adolescent age groups.
Dissecting Solidago canadensis soil feedback in its real invasion
Venue: Ecology and evolution
Year: 2017

The importance of plant soil feedback (PSF) has long been recognized, but the current knowledge on PSF patterns and the related mechanisms mainly stems from laboratory experiments. We aimed at addressing PSF effects on community performance and their determinants using an invasive forb Solidago canadensis. To do so, we surveyed 81 pairs of invaded versus uninvaded plots, collected soil samples from these pairwise plots, and performed an experiment with microcosm plant communities. The magnitudes of conditioning soil abiotic properties and soil biotic properties by S. canadensis were similar, but the direction was opposite; altered abiotic and biotic properties influenced the production of subsequent S. canadensis communities and its abundance similarly. These processes shaped neutral S. canadensis soil feedback effects at the community level. Additionally, the relative dominance of S. canadensis increased with its ability of competitive suppression in the absence and presence of S. canadensis soil feedbacks, and S. canadensis induced decreases in native plant species did not alter soil properties directly. These findings provide a basis for understanding PSF effects and the related mechanisms in the field conditions and also highlight the importance of considering PSFs holistically.
Exploring the Limits of Weakly Supervised Pretraining
Venue: ECCV
Year: 2018

State of the art visual perception models for a wide range of tasks rely on supervised pretraining. ImageNet classification is the de facto pretraining task for these models. Yet, ImageNet is now nearly ten years old and is by modern standards "small" Even so, relatively little is known about the behavior of pretraining with datasets that are multiple orders of magnitude larger. The reasons are obvious: such datasets are difficult to collect and annotate. In this paper, we present a unique study of transfer learning with large convolutional networks trained to predict hashtags on billions of social media images. Our experiments demonstrate that training for large scale hashtag prediction leads to excellent results. We show improvements on several image classification and object detection tasks, and report the highest ImageNet 1k single crop, top 1 accuracy to date: 85.4% (97.6% top 5) We also perform extensive experiments that provide novel empirical data on the relationship between large scale pretraining and transfer learning performance.
Population pharmacokinetics (popPK) of Sym004 to evaluate the effect of intrinsic and extrinsic factors on exposure in metastatic colorectal cancer (mCRC)
Venue: Journal of Clinical Oncology
Year: 2019

496  Sym004 consists of two anti EGFR monoclonal antibodies (futuximab and modotuximab) directed against non overlapping epitopes in the EGFR domain III. Sym004 induces rapid and efficient removal of the EGFR from the cancer cell surface by triggering EGFR internalization and degradation and has shown promising efficacy in mCRC patients. Based upon a post hoc analysis of a Phase 2 study, a Phase 3 trial in genomically selected mCRC patients is in preparation.  The aim was to establish a popPK model for Sym004 in order to i) evaluate impact of covariates (intrinsic and extrinsic factors) on Sym004 exposure and ii) provide exposure metrics for a PK/PD analysis. Sym004 serum concentrations were obtained from 330 patients with mCRC (n 247) or advanced solid tumors (studies Sym004 01, Sym004 02, Sym004 05 and Sym004 06) Sym004 (0.4 18 mg/kg) was dosed by i.v. infusion weekly or every 2nd week, or as a 9 mg/kg loading dose followed by 6 mg/kg weekly (9/6 mg/kg weekly) Non linear mixed effects modelling was done in NONMEM v7.3.0. Covariates evaluated included body weight, age, sex, race, albumin, renal function, hepatic function, tumor type and size, ECOG and previous anti EGFR treatments.  The base popPK model was a 2 compartment model with linear and non linear Michaelis Menten type elimination and a priori inclusion of body weight on CL, Vmax, V1 and V2. The model captured the non linear PK well. The final covariate model retained covariates whose point estimates were outside the range of 0.8 to 1.25 and whose 90% confidence intervals did not overlap with the null value and included only body weight and albumin. Inter individual variability was estimated for CL, Vmax and V1 and was in the range of 18 30% Simulations were used to assess the clinical relevance of the covariates as judged by the magnitude of the change in exposure of the Phase 3 dose regimen of 9/6 mg/kg weekly.  The popPK model described the Sym004 PK data well. No covariates were present that changed the Sym004 exposure in a clinically significant manner which would necessitate a dose modification. The model is suitable for simulating the Sym004 PK for PK/PD analyses.
Big Learning and Deep Neural Networks
Venue: Neural Networks: Tricks of the Trade
Year: 2012

More data and compute resources opens the way to "big learning" that is, scaling up machine learning to large data sets and complex problems. In order to solve these new problems, we need to identify the complex dependencies that interrelate inputs and outputs  Achieving this goal requires powerful algorithms in terms of both representational power and ability to absorb and distill information from large data flows. More and more it becomes apparent that neural networks provide an excellent toolset to scale learning. This holds true for simple linear systems as well as today's grand challenges where the underlying application problem requires high nonlinearity and complex structured representations.
Potential and favorable areas of petroleum exploration of ultra deep marine strata more than 8000 m deep in the Tarim Basin, Northwest China
Year: 2018

At present, deep and ultra deep oil and gas have become the research and exploration hotspots. With little drilling data available, the geological understanding on deep formations is still in the exploratory stage, but most petroleum geologists have universally acknowledged that the deeply buried strata of Chinese marine craton basins are equipped with the conditions for abundant oil and gas resources. A series of discoveries have been made in the Ordovician and Cambrian strata. For Precambrian strata, besides breakthroughs in the Sichuan Basin, a lot of research or drilling work has been initiated in other basins. In the Tarim Basin, the current burial depth of the Lower Paleozoic and the Precambrian mainly ranges from 5000 to 12000 m. This is attributed to rapid subsidence and deposition since the Neogene. A large number of exploration discoveries have been made, and commercial productivity projects have been constructed at the depth less than 8000 m. Strata more than 8000 m deep will be a significant major prospecting exploration field in the future. The analyses of hydrocarbon accumulation conditions of the ultra deep layers of the Tarim Basin provide theoretical guidance for ultra deep oil and gas exploration. This research is based on source rocks in the Cambrian, Sinian, and Nanhua System, formation and preservation of ultra deep carbonate reservoirs, phase of petroleum and accumulation assemblages in ultra deep strata, the exploration fields deeper than 8000 m were also evaluated to sort out the most favorable areas and, future exploration focuses on the Ordovician, Cambrian, and Sinian strata are pointed out.
Proyecto educativo de transmision de valores a traves del deporte de la Fundacion Real Madrid. (Real Madrid Foundation Project of values education through the sport)
Year: 2012

Existen numerosos y valiosos programas de transmision en valores a traves de la actividad fisica y el deporte, elaborados desde el marco de la universidad, el voluntariado social, la administracion publica e incluso la empresa privada. El atractivo y el principio de modelado que desempenan los grandes equipos deportivos en nuestros jovenes facilita que sus organizaciones deportivas dispongan de un excepcional potencial privilegiado para poder generar proyectos educativos de gran relevancia social (Bandura, 1987) Desde la Fundacion F.C. Barcelona destacan dos programas especificos de promocion de valores: "Juegala" enfocado a Educacion Primaria y Secundaria, y "Hacemos equipo, hacemos ciudad" destinado a los clubes deportivos de base. La Fundacion Estudiantes de baloncesto en su accion social gestiona proyectos de apoyo a la discapacidad: "Baloncesto para todos" y "Pozuelo encesta con el Estu" y la desigualdad de genero: "Avanzando hacia la igualdad" y "Juguemos juntos, podemos evitarlo" estos ultimos en colaboracion con el Atletico de Madrid. La Fundacion Athletic Club Fundazoia asume programas de ayuda social: apoyo al programa Bultzaide de personas sin techo, programa de donaciones de material deportivo o apadrinamiento del Athletic Club Darmanesti en Rumania. Leer en PDF Referencias/references