nils-herrmann/clean_scirepeval huggingface dataset:
Age of Initiation of the India Asia Collision in the East Central Himalaya: A Reply
Venue: The Journal of Geology
Year: 2006

In their comment, Li et al. (2006) take issue with our interpretations (Zhu et al. 2005) of the Cenozoic stratigraphic interval in the western part of the Zhepure Shan, southern Tibet. These disagreements are focused on the stratigraphic nomenclature, sedimentologic interpretations, and age determinations of Eocene and younger clastic rocks. As stated by Li et al. (2006) their primary concern is that the interpretations of Zhu et al. (2005) in part conflict with a study on the same stratigraphic interval published by Wang et al. (2002) Although Zhu et al. (2005) originally outlined the potential problems with the stratigraphic and sedimentologic interpretations of Wang et al. (2002) below we reiterate and clarify the reasoning behind our interpretations.
Improving PILCO with Bayesian Neural Network Dynamics Models
Year: 2016

Model based reinforcement learning (RL) allows an agent to discover good policies with a small number of trials by generalising observed transitions. Data efficiency can be further improved with a probabilistic model of the agent's ignorance about the world, allowing it to choose actions under uncertainty. Bayesian modelling offers tools for this task, with PILCO  being a prominent example, achieving state of theart data efficiency on low dimensional RL benchmarks. But PILCO relies on Gaussian processes (GPs) which prohibits its applicability to problems that require a larger number of trials to be solved. Further, PILCO does not consider temporal correlation in model uncertainty between successive state transitions, which results in PILCO underestimating state uncertainty at future time steps  In this paper we extend PILCO's framework to use Bayesian deep dynamics models with approximate variational inference, allowing PILCO to scale linearly with number of trials and observation space dimensionality. Using particle methods we sample dynamics function realisations, and obtain lower cumulative cost than PILCO. We give insights into the modelling assumptions made in PILCO, and show that moment matching is a crucial simplifying assumption made by the model. Our implementation can leverage GPU architectures, offering faster running time than PILCO, and will allow structured observation spaces to be modelled (images or higher dimensional inputs) in the future.
Indigenous peoples, rural to urban migration, United States and Canada
Year: 2013

This essay focuses on rural to urban migration by Indigenous peoples (aka American Indian, Native American, Aboriginal, and/or Indian) in the United States and Canada, with an emphasis on the 20th century. Attention is paid to historical mobility, migration trends, processes of migration, and mobility characteristics of urban Indigenous communities.  indigenous peoples; borders; demography and population studies; colonialism; imperialism; crimes against humanity; ethnic cleansing
Re ID Driven Localization Refinement for Person Search
Venue: 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019

Person search aims at localizing and identifying a query person from a gallery of uncropped scene images. Different from person re identification (re ID) its performance also depends on the localization accuracy of a pedestrian detector. The state of the art methods train the detector individually, and the detected bounding boxes may be sub optimal for the following re ID task. To alleviate this issue, we propose a re ID driven localization refinement framework for providing the refined detection boxes for person search. Specifically, we develop a differentiable ROI transform layer to effectively transform the bounding boxes from the original images. Thus, the box coordinates can be supervised by the re ID training other than the original detection task. With this supervision, the detector can generate more reliable bounding boxes, and the downstream re ID model can produce more discriminative embeddings based on the refined person localizations. Extensive experimental results on the widely used benchmarks demonstrate that our proposed method performs favorably against the state of the art person search methods.
Intelligent Onboard Networks for the Flexible Production of Electric Vehicles
Year: 2013

The shift from cars with internal combustion engines to electrically powered cars of the next generation poses new challenges in the manufacturing world and offers new chances. The change in propulsion system enables vehicle structures to be consistently modularized and holds potentials for optimizations and savings both in production and in maintenance. This approach is shown by way of example using the battery which is a major component in electric vehicles.
EXPANDING ONLINE TEACHING STRATEGIES THROUGH PSYCHOPEDAGOGICAL SUPPORT
Venue: EDULEARN19 Proceedings
Year: 2019

The role of the psychopedagogical advisor varies according to the work methods of each institution, the curricular areas, the audience to which the class is directed, teacher's conceptions, among others. Hence, its characterization is difficult and with it, the construction of a flexible accompaniment model. This presentation is based on the principle of psychopedagogical mediation, considered "a collaborative process among education professionals for the preparation and selection of educational aid necessary and appropriate to achieve educational objectives"  This paper analyzes, from a socioconstructivist perspective, the process of psychopedagogical support offered to teachers who design online and hybrid courses at Iberoamericana University (Mexico City)
Assessing citizen science data quality: an invasive species case study
Year: 2011

An increase in the number of citizen science programs has prompted an examination of their ability to provide data of sufficient quality. We tested the ability of volunteers relative to professionals in identifying invasive plant species, mapping their distributions, and estimating their abundance within plots. We generally found that volunteers perform almost as well as professionals in some areas, but that we should be cautious about data quality in both groups. We analyzed predictors of volunteer success (age, education, experience, science literacy, attitudes) in training related skills, but these proved to be poor predictors of performance and could not be used as effective eligibility criteria. However, volunteer success with species identification increased with their self identified comfort level. Based on our case study results, we offer lessons learned and their application to other programs and provide recommendations for future research in this area.
Unmonitored Fault Detection in an AUV Using Recurrent Neural Networks
Year: 2019

Faults are an inevitability in any robotic system but are of a particularly devastating nature in underwater robotics. If unrealized, a minor fault in an autonomous underwater vehicle (AUV) could easily lead to the AUV unintentionally damaging itself, an accompanying diver, or the marine environment in which it is operating. While some types of faults can easily be detected with sensors on the AUV, it is costly or impractical to have sensors installed to monitor every potential point of failure on an AUV. In this paper, we present a software system that enables an AUV to detect unmonitored faults via the fault's indirect effects on the AUV's normal motion. This system is composed of two primary components: a recurrent neural network(RNN) based model that predicts the future motion of an AUV and an anomaly detection algorithm that is able to detect anomalies in the motion prediction error and decide whether the anomalies indicate a fault occurred. To evaluate the performance of this system, we demonstrate its effectiveness on data collected on an AUV in both pool and field trials.
Insertion Deletion Transformer
Venue: ArXiv
Year: 2020

We propose the Insertion Deletion Transformer, a novel transformer based neural architecture and training method for sequence generation. The model consists of two phases that are executed iteratively, 1) an insertion phase and 2) a deletion phase. The insertion phase parameterizes a distribution of insertions on the current output hypothesis, while the deletion phase parameterizes a distribution of deletions over the current output hypothesis. The training method is a principled and simple algorithm, where the deletion model obtains its signal directly on policy from the insertion model output. We demonstrate the effectiveness of our Insertion Deletion Transformer on synthetic translation tasks, obtaining significant BLEU score improvement over an insertion only model.
Effect of Contract Farming on Productity and Welfare of Cassava Based Farmers in South Eastern Nigeria.
Year: 2014

The study was conducted in South Eastern Nigeria using Anambra State as a case study. Eight Local Government Areas (LGAs) were purposively drawn from the study area from which 64 farmers under contract farming were drawn. Also 64 farmers that were not under contract farming were drawn across the LGAs. Staff from Agricultural Development Programme (ADP) and Nigeria Starch Mills, Ihiala, Anambra State assisted in data collected. Data were collected using structured questionnaires and interviews. Data collected were analyzed using frequency tables, means and percentages, Ordinary Least Square (OLS) and Chow's test models. Results from the analyses show that farmers under contract farming had larger land areas of cultivation and relatively younger than farmers not under contract farming. The farmers under contract farming were more educated but had fewer years of farming experience than the farmers that were not under contract farming. Farm size, productivity, net returns, and welfare levels of the farmers under contract farming (5.5 ha, N 1.8, N 78520 and N 14630) were equally higher than those not under contract farming (1.4 ha, N 1.2, N 19300 and N 8900) Furthermore, the result shows that the significant factors that influenced the productivity of the farmers were age, educational status, farm size, farming experience and labour cost. The significant factors that influenced welfare of the farmers were education, total household income, land holding, years of farming experience and cost of production. The Chow's test revealed a significant effect of contract farming on productivity of the farmers. Thus, productivity of contract farmers was significantly higher than productivity of farmers not under contract farming. However, there was no significant difference in the welfare status of both categories of farmers. The major problems facing contract farming in the zone were fund scarcity, lack of credit facilities and high production cost. Based on the findings, it was recommended that contract farming should be given more awareness especially to rural farmers; socio economic and marketing infrastructure should be improved to reduce costs; policies should address the nature of contract farming in Nigeria; more agro allied firms should be established and should be made to target small scale farmers.  contract farming, productivity, welfare.
Effects of Gymnastics based Nursing Intervention on Stress, Obesity, and Mental Health Confidence in Patients with Chronic Mental Illness
Year: 2021

This quasi experimental study aimed to investigate the effects of gymnastics based nursing intervention on stress, obesity, and mental health confidence in patients with chronic mental illness.  The study utilized the non equivalent control group pretest posttest design and recruited sixty patients with chronic mental illness who were registered at one of the two mental rehabilitation centers in D metropolitan city. Data were collected from May 2017 to August 2017. The experimental intervention was a gymnastics based program developed by the main investigator based on Bandura's self efficacy theory. The program was administered twice a week for a total of 16 sessions.  This study showed that subjective stress responses (z= 3.47, p=.001) physiological stress responses (z= 2.90, p=.004) body weight (F=3.55, p=.032) abdominal circumference (t= 2.19, p=.032) and optimism in the mental health confidence domain (t=2.27, p=.027) were significantly different in the experimental group and control group. But, results showed that body fat percentage (F=0.91, p=.406) was not significantly different in the experimental group and control group.  The gymnastics based nursing intervention was effective in reducing stress, body weight, and abdominal circumference, and improving optimism in the mental health confidence domain in patients with chronic mental illness.
Development and Inclusion of Autistic Children in Public Schools
Year: 2020

Characterized by limited or almost inexistent social skills, autistic children imperatively need social integration, in order to ensure a positive social environment in which they could imitate their colleagues and develop better means of communication. A sample of 60 teachers from public and special schools, aged between 29 and 50 years old, was assessed using Inclusion of Children with Special Needs in Public Schools Questionnaire (Chitu, Barcau Blaga, 2016) in order to analyse their opinions and attitudes towards inclusive education. A sample of 75 children (aged between 8 and 12 years old) with Autistic Spectrum Disorder, with whom these teachers interact, was assessed with Adaptive Behaviour Assessment System II (ABAS II, Harisson Oakland, 2012) We found significant differences regarding communication, community use and self care, social skills and general adaptive composite (GAC score) between children in special and public schools. Furthermore, teachers emphasize that: (1) society, in general, has a tolerant attitude toward children with educational special needs; (2) families with such children choose a public school mostly in order to integrate their children in society and to ensure them the right to equal chances; (3) differential assessment strategies are needed for these children and adaptation of the curriculum to their needs; (4) children with special needs have a real chance of success in a public school. Results are analysed in relationship with teacher's roles, opinions and attitudes toward the integration of autistic children in public schools.
Sexually acquired acute hepatitis C infection diagnosed during pregnancy: a case report of successful postpartum treatment
Venue: Case reports in women's health
Year: 2018

Infection with the hepatitis C virus (HCV) during pregnancy has emerged as an increasingly recognized and prevalent condition among women of reproductive age in the United States. While screening recommendations exist for pregnant women at high risk of HCV infection, pregnant women with HCV are often under screened, not diagnosed, or do not receive adequate follow up, thereby increasing the risk of suboptimal maternal and infant outcomes (including in future pregnancies) Case A pregnant woman living with HIV presented with intrahepatic cholestasis of pregnancy. She had tested negative for HCV earlier in pregnancy as part of routine screening recommended for women living with HIV. She was found to have sexually acquired a new HCV infection from her partner during pregnancy. She successfully completed treatment postpartum.  With the rise in HCV infection among pregnant patients, physicians should be diligent in assessing pregnant women and their partners for HCV risk factors, testing for HCV when risk is identified, and arranging follow up testing and treatment for HCV positive mothers and their infants.
OCCUPATIONAL HEALTH SAFETY AND PHYSICAL WORK ENVIRONMENT CONDITIONS ON EMPLOYEE PERFORMANCE
Venue: Indonesian Journal of Social Research (IJSR)
Year: 2019

This study aims to determine the effect of occupational health safety programs and physical work conditions on the performance of production department employees at PT Bahagia Jaya Sejahtera. The population and sample amounted to 36 employees in the production section at PT Bahagia Jaya Sejahtera. Data collection through questionnaires and interviews. Instrument testing is done with validity and reliability. Analysis of research data includes multiple regression analysis, correlation and simultaneous and partial significance tests. Based on the results of multiple regression analysis the occupational health safety program and physical work environment conditions have a positive and significant effect on performance and the F test results state that simultaneous occupational health safety programs and physical work environment conditions affect employee performance. While the results of the test state that workload and work environment partially affect employee performance Increased workload within the limits of the ability of employees can improve employee performance.
Development of a methodology to assist manufacturing SMEs in the selection of appropriate Green Lean Six Sigma tools
Year: 2017

Research has shown that integration of Lean, Six Sigma and Green makes a positive impact on the sustainable performance of organizations. Many businesses around the globe have already started to implement the two approaches ensuring their development is economically, socially and environmentally sustainable. However, these companies have found their integration challenging. The purpose of this paper is to develop a methodology that can help small and medium enterprises (SMEs) to select an appropriate tool for the company which will maximum benefits from adopting the tool. This study focuses on the selection of an appropriate Green Lean Six Sigma tool for manufacturing SMEs. The methodology contains a quantitative approach that can assist SMEs in identifying the appropriate tool. A literature review, collation of experts' opinions via a questionnaire and a case study are presented in this research. The findings revealed that the proposed methodology was effective in identifying the appropriate Green Lean Six Sigma tools for companies, according to the key performance indicators in the manufacturing SME sector. This methodology has proven to be useful for recommending the application of Green Lean Six Sigma tools in a company's attempt to become Greener, bridging the gap identified in the literature review.
Soil Stabilization By Chemical Method Using Lime Silica Fume
Year: 2018

In this study, the method of Chemical Stabilization will be used to enhance the soil properties. Lime, which will be the stable chemical, together with Silica fume, which will be the variable chemical, will be used in this study. Silica fume is a byproduct of producing silicon metal or ferrosilicon alloys. The main objective of the study is to determine the susceptibility to liquefaction of Tanza National Comprehensive High School Philippines with the use of method Chemical Stabilization in soil using Lime Silica Fume.
Impact of COVID 19 and lockdown on mental health of children and adolescents: A narrative review with recommendations
Venue: Psychiatry Research
Year: 2020

COVID 19 pandemic and lockdown has brought about a sense of fear and anxiety around the globe. This phenomenon has led to short term as well as long term psychosocial and mental health implications for children and adolescents. The quality and magnitude of impact on minors is determined by many vulnerability factors like developmental age, educational status, pre existing mental health condition, being economically underprivileged or being quarantined due to infection or fear of infection.  This paper is aimed at narratively reviewing various articles related to mental health aspects of children and adolescents impacted by COVID 19 pandemic and enforcement of nationwide or regional lockdowns to prevent further spread of infection.  We conducted a review and collected articles and advisories on mental health aspects of children and adolescents during the COVID 19 pandemic. We selected articles and thematically organized them. We put up their major findings under the thematic areas of impact on young children, school and college going students, children and adolescents with mental health challenges, economically underprivileged children, impact due to quarantine and separation from parents and the advisories of international organizations. We have also provided recommendations to the above.  There is a pressing need for planning longitudinal and developmental studies, and implementing evidence based elaborative plan of action to cater to the psycho social and mental health needs of the vulnerable children and adolescents during pandemic as well as post pandemic. There is a need to ameliorate children and adolescents' access to mental health support services geared towards providing measures for developing healthy coping mechanisms during the current crisis. For this innovative child and adolescent mental health policies policies with direct and digital collaborative networks of psychiatrists, psychologists, paediatricians, and community volunteers are deemed necessary.
Augmentation of Antitumor Immunity by Human and Mouse CAR T Cells Secreting IL 18
Venue: Cell reports
Year: 2017

The effects of transgenically encoded human and mouse IL 18 on T cell proliferation and its application in boosting chimeric antigen receptor (CAR) T cells are presented. Robust enhancement of proliferation of IL 18 secreting human T cells occurred in a xenograft model, and this was dependent on TCR and IL 18R signaling. IL 18 augmented IFN g secretion and proliferation of T cells activated by the endogenous TCR. TCR deficient, human IL 18 expressing CD19 CAR T cells exhibited enhanced proliferation and antitumor activity in the xenograft model. Antigen propelled activation of cytokine helper ensemble (APACHE) CAR T cells displayed inducible expression of IL 18 and enhanced antitumor immunity. In an intact mouse tumor model, CD19 IL 18 CAR T cells induced deeper B cell aplasia, significantly enhanced CAR T cell proliferation, and effectively augmented antitumor effects in mice with B16F10 melanoma. These findings point to a strategy to develop universal CAR T cells for patients with solid tumors.
Development and Validation of Two Robust Stability Indicating Chromatographic Methods for Determination of Metolazone in Drug Substance and Pharmaceutical Dosage Form in the Presence of Its Degradation Products and Characterization of Main Degradation Products Based on LC MS.
Venue: Journal of chromatographic science
Year: 2019

Two robust and selective stability indicating chromatographic methods were developed and validated for the determination of metolazone in drug substance and pharmaceutical dosage form in the presence of its degradation products. The HPLC method employed a Kromasil C18 (250 x 4.6,5 mm) column and a mobile phase of acetonitrile: 0.2% orthophosphoric acid (32:68 v/v) at a flow rate 2 mL/min and detection at 238 nm. The separation was performed in HPLC isocratic mode. The robustness of the suggested method was assessed using the Plackett Burman design, parameters affecting system suitability were established and non significant intervals for the significant parameters were considered. The HPTLC method employed Nano SIL 20 UV254 HPTLC plates as adsorbent, ethyl acetate: toluene: acetic acid solution (4:4:0.5, v/v/v) as a developing solvent system and densitometric detection at 238 nm. Metolazone was exposed to different stress conditions, including acid and alkaline hydrolysis and oxidative and photolytic degradation. The main degradation products obtained have been characterized and interpreted based on LC MS. The linearity of the suggested methods was proved in the concentration range of 20 75 mg/mL for the HPLC method and 100 900 ng/spot for the HPTLC method. The suggested methods were validated according to international conference on harmonization guidelines. These methods were successfully dedicated for the estimation of metolazone in drug substance and pharmaceutical dosage form in the presence of its degradation products. The results of the suggested methods were evaluated and compared statistically with results obtained by an official method without finding any significant difference.