nils-herrmann/clean_scirepeval huggingface dataset:
A Systematic Review and Integration of Concept Analyses of Self Care and Related Concepts
Venue: Journal of nursing scholarship an official publication of Sigma Theta Tau International Honor Society of Nursing
Year: 2018

This systematic review identified, synthesized, and integrated concept analyses on self care and related concepts.  The guidelines for systematic literature reviews of the Joanna Briggs Institute were followed.  The Cumulative Index to Nursing and Allied Health Literature (CINAHL) PubMed, PsycINFO, and EMBASE databases were searched for concept analyses published in the past 20 years.  A total of 26 concept analyses were identified that had been published on self care, self care agency, self monitoring, self management, self management support, symptom management, and self efficacy. Differences and commonalities in the examined literature were identified, and a model was delineated, explaining the relations among the various concepts from the nursing perspective.  The healthcare literature has broadly described self care and related concepts; however, consensus on the definitions remains beyond our reach and should not be expected, due to the different perspectives and paradigms from which the concepts are interpreted. From a nursing perspective, self care can be considered a broad concept encompassing the other concepts, which describe more specific individual levels of activities and processes.  Nurses are actively involved in disease management and self management support as well as in promoting self care in healthy and sick people. Referring to a model on self care and related concepts could avoid misinterpretations in nursing practice, research, and policy.
Barriers and facilitators to work participation for persons with lower limb amputations in Bangladesh following prosthetic rehabilitation
Venue: Prosthetics and orthotics international
Year: 2020

Lower limb amputation due to workplace injury and motor vehicle accident is common in Bangladesh. Qualitative research may extend our understanding of how physical impairment and other factors, such as cultural norms, family roles and the built environment, facilitate or hinder work participation following lower limb amputation and prosthetic rehabilitation.  The aim of this study was to explore the experience of people in Bangladesh following lower limb amputation and prosthetic rehabilitation to understand the facilitators and barriers to their work participation.  Qualitative interviews with thematic analysis.  The Worker Role Interview was used to guide semi structured interviews in a convenience sample of 10 adults living in Bangladesh following lower limb amputation and prosthetic rehabilitation. Interviews were interpreted, and the themes that emerged were evidenced with first person quotes.  Barriers and facilitators to work participation were synthesised into the following themes: spirituality, attitudes, meaning of work, planning for work participation, traditional gender roles, social support, mobility aids, environmental challenges and ergonomic adaptations.  This qualitative approach identified barriers and facilitators to work participation, such as the role of spirituality and the effect of gender roles, that have not been well researched in this population. Being aware of their effects can help clinicians reduce barriers to work participation.  Greater awareness of the barriers and facilitators to work participation, such as the role of spirituality or the effect of gender roles, can assist clinicians to reduce barriers and help facilitate work participation for people living in Bangladesh following lower limb amputation and prosthetic rehabilitation.
Corrosion resistant characteristics of nitrided Ni free stainless steel for bipolar plate of polymer electrolyte fuel cell
Year: 2017

In this study, the effect of a high temperature nitriding treatment on the characteristics of the Ni free stainless steel (SUS445) used as the metallic bipolar plate of a polymer electrolyte fuel cell (PEFC) was investigated. The phase structure, composition, electrical conductivity and electrochemical corrosion resistance of the stainless steel after the nitriding treatment (SUS445 N) were analyzed. The supersaturated nitrogen phase g N nitrides CrN and Cr 2 N in the nitride layer with a good electrical conductivity were observed and confirmed by X ray diffraction (XRD) and X ray photoelectron spectroscopy (XPS) The corrosion resistance of the nitrided SUS445 N stainless steel was significantly improved due to the formation of the chromium containing nitrides. The conducted fuel cell durability test revealed that when using the nitrided SUS445 N stainless steel as the bipolar plate, the fuel cell voltage performance was almost the same as that using the graphite carbon as the bipolar plate for 2500 h.
Evolving technologies in robotic surgery for minimally invasive treatment of gynecologic cancers
Venue: Expert review of medical devices
Year: 2013

Since the introduction of robotic technology, there have been significant changes to the field of gynecologic oncology. The number of minimally invasive procedures has drastically increased, with robotic procedures rising remarkably. With recent evidence suggesting that minimally invasive techniques should be the standard of care for early endometrial and cervical cancers, the push for new technology and advancements has continued. Several emerging robotic technologies have significant potential in the field of gynecologic oncology. The single site robotic platform enables robotic surgery through a single incision; the Firefly camera detects the fluorescent dye indocyanine green, which may improve sensitivity in sentinel lymph node biopsy; and a robotic vessel sealing device and stapler will continue to improve efficiency of the robotic surgeon.
The 12 item big three perfectionism scale for adolescents
Year: 2019

The present study developed a 12 item Big Three Perfectionism Scale (BTPS 12) among 468 adolescents. The tri angle translation approach was used to obtain the Chinese version and avoid semantic understanding differences bought by different languages. Both theory and data driven (e.g. exploratory structural equation modeling) approaches were employed to construct the short form. The same three global factor structure was established. Pearson correlation coefficients between the original version and the short form, as well as their associations with negative emotion symptoms and flourishing indicated criterion related validities. Comparable explained variances in mental health outcomes were also identified using hierarchical regressions between the original version and the short form.
Least squares support vector machines ensemble models for credit scoring
Venue: Expert Syst. Appl.
Year: 2010

Due to recent financial crisis and regulatory concerns of Basel II, credit risk assessment is becoming one of the most important topics in the field of financial risk management. Quantitative credit scoring models are widely used tools for credit risk assessment in financial institutions. Although single support vector machines (SVM) have been demonstrated with good performance in classification, a single classifier with a fixed group of training samples and parameters setting may have some kind of inductive bias. One effective way to reduce the bias is ensemble model. In this study, several ensemble models based on least squares support vector machines (LSSVM) are brought forward for credit scoring. The models are tested on two real world datasets and the results show that ensemble strategies can help to improve the performance in some degree and are effective for building credit scoring models.
Towards the determination of metal criticality in home based battery systems using a Life Cycle Assessment approach
Venue: Journal of Cleaner Production
Year: 2019

The operation and production of batteries is associated with environmental impacts that can be quantified with Life Cycle Assessment methodologies. Current life cycle impact assessment methodologies do not assess metal criticality: they are based on geological availability or resource depletion only and do not consider socio economic factors. Such factors are included by the concept of metal criticality. This paper determines the metal criticality of six home based battery systems (Li Ion: LFP C, NMC C, NCA C, NCA LTO; VRLA battery and the VRFB) for a photovoltaics self consumption application based on a Life Cycle Assessment approach. Cumulative life cycle inventory results on extraction of metal resources are coupled with characterization factors of 13 metals derived from three state of the art criticality methodologies. The results are presented for two functional units: (1) the installed battery system per kWh of energy delivered (per cycle) (2) additionally including necessary replacements of battery packs during the system lifetime. Due to substantial differences in terms of battery lifetimes between battery technologies, the latter functional unit turns out to be more meaningful. In general, there is a correlation between lower metal criticality scores (i.e. better performance) and batteries with a higher specific energy, longer battery lifetime and lower mass of metal consumption. LFP C battery shows both low metal criticality scores and comparatively robust results, while VRFB exhibits low metal criticality but associated with relatively high uncertainties. In contrast, the VRLA battery performs the worst due to low discharge efficiency and relatively short battery lifetime. We argue that metal criticality could be reduced by improving the specific energy of the battery, by selecting low metal intensive and low critical metal containing components, by increasing the use of secondary metals and by selecting batteries with longer battery lifetimes.
Phase 1 2 Trial of Antisense Oligonucleotide Tofersen for SOD1 ALS.
Venue: The New England journal of medicine
Year: 2020

Tofersen is an antisense oligonucleotide that mediates the degradation of superoxide dismutase 1 (SOD1) messenger RNA to reduce SOD1 protein synthesis. Intrathecal administration of tofersen is being studied for the treatment of amyotrophic lateral sclerosis (ALS) due to SOD1 mutations.  We conducted a phase 1 2 ascending dose trial evaluating tofersen in adults with ALS due to SOD1 mutations. In each dose cohort (20, 40, 60, or 100 mg) participants were randomly assigned in a 3:1 ratio to receive five doses of tofersen or placebo, administered intrathecally for 12 weeks. The primary outcomes were safety and pharmacokinetics. The secondary outcome was the change from baseline in the cerebrospinal fluid (CSF) SOD1 concentration at day 85. Clinical function and vital capacity were measured.  A total of 50 participants underwent randomization and were included in the analyses; 48 participants received all five planned doses. Lumbar puncture related adverse events were observed in most participants. Elevations in CSF white cell count and protein were reported as adverse events in 4 and 5 participants, respectively, who received tofersen. Among participants who received tofersen, one died from pulmonary embolus on day 137, and one from respiratory failure on day 152; one participant in the placebo group died from respiratory failure on day 52. The difference at day 85 in the change from baseline in the CSF SOD1 concentration between the tofersen groups and the placebo group was 2 percentage points (95% confidence interval [CI] 18 to 27) for the 20 mg dose, 25 percentage points (95% CI, 40 to 5) for the 40 mg dose, 19 percentage points (95% CI, 35 to 2) for the 60 mg dose, and 33 percentage points (95% CI, 47 to 16) for the 100 mg dose.  In adults with ALS due to SOD1 mutations, CSF SOD1 concentrations decreased at the highest concentration of tofersen administered intrathecally over a period of 12 weeks. CSF pleocytosis occurred in some participants receiving tofersen. Lumbar puncture related adverse events were observed in most participants.
Direct and Residual Effect of Zinc and Boron on Yield and Yield Attributes of Finger Millet Groundnut Cropping System
Venue: International Journal of Pure Applied Bioscience
Year: 2019

Field experiments were conducted in the farmers' field at Gutthikatte village, Hosadurga taluk, Chitradurga district of Karnataka during 2015 16 and 2016 17 to study the direct and residual effect of zinc and boron on yield and yield attributes of finger millet groundnut cropping system in zinc and boron deficient soil. The finger millet was the test crop to study the direct effect and groundnut crop was raised to study the residual effect. The experiments were laid out in Randomized Complete Block Design with fifteen treatments and replicated thrice. The pooled analysis revealed that significantly higher yield and yield attributes of finger millet and succeeding groundnut crops were recorded with the application of NPK (100:50:50 kg ha 1 FYM (10 t ha 1 ZnSO4 15 kg ha 1 Borax 12.5 kg ha 1 and residual effect of NPK FYM ZnSO4 20 kg ha 1 Borax 12.5 kg ha 1 compare to other treatments.
Measurement of biorational effect of imidacloprid on some aphids spp. as well as on wheat (Triticum aestivum L. using biochemical parameters and ISSR PCR.
Venue: Journal of food biochemistry
Year: 2020

Aphid species are the most common insect pest infesting wheat plants. The LC values of imidacloprid against aphid spp. ISSR PCR molecular markers and biochemical parameters in wheat plant in the present study were carried out. The LC50 of imidacloprid on Rhopalosiphum maidis, Rhopalosiphum padi, Sitobion avenae, and Schzaphis graminum were 71.626, 85.853, 91.05, and 115.806, respectively. While, the biochemical parameters in treated wheat plants including; total protein, RNA, and DNA contents increased in all experimental groups. Moreover, total carbohydrates and soluble sugar also increased in treated wheat seedlings. Also, the genetic diversity studies revealed that among six ISSR primers produced 36 amplified DNA fragments in a molecular weight range of (480 1545 bp) About 28 fragments were monomorphic, and 8 fragments were polymorphic. It can be concluded that the effectiveness of imidacloprid against sucking insects in treated wheat plants may due to few genetic variations and some metabolic changes in the Triticum. aestivum.  The current study indicated that the potent efficacy of imidacloprid against different aphid spp. which were the most insect pest in wheat plants. As well as the application of imidacloprid as seed dressing insecticide, significantly increase carbohydrate, protein, amino acids, and RNA content in T. aestivum plants. While there was no significant increase in DNA in treated one. The recorded increase in these biochemical parameters may due to the increase in the gene expressions as a result of the application of such pesticides. These results explain the extra mechanism of the effect of imidacloprid against sucking insects. Also, the conducted results explain the effect of imidacloprid as a seed dressing insecticide in wheat crop protection from sucking insects and increasing seed germination, increasing seed wheat and number of seeds/spike.
Virtual team trust: task, communication and sequence
Year: 2012

This study aims to examine the impact of task interdependence, communication medium, and sequence of conditions on trust in virtual teams. A pilot experiment was conducted using 22 subjects in eight groups with a mixed 2x2 design. A within groups method with repeated measures was used to explore time pressure and task complexity, communication medium and individual perceptions of trust. A between groups method was used for sequence of conditions. The four study conditions were: a simple task in a face to face condition; a complex task in a face to face condition; a simple task in a computer mediated condition; and a complex task in a computer mediated condition. Groups were randomly assigned to a starting condition. Each group was rotated through all the conditions. Following each condition, subjects completed the modified Jarvenpaa Knoll Leidner trust measure assessing their individual perception of trust for that condition. Significant effects were found
Deteccion de fraude en tarjetas de credito mediante tecnicas de mineria de datos
Year: 2018

La mineria de datos y machine learning son herramientas altamente potenciales en la identificacion de observaciones inusuales en tendencias de patrones, dado que son un conjunto de tecnicas robustas que facilitan la toma de decision, el proceso knowledge discovery in databases, kdd por sus siglas en ingles, es un campo de la estadistica y ciencias de la computacion que emplea diversas tecnicas y metodologias para el proceso de identificar patrones valiosos en la extraccion de la informacion nueva, util y novedosa; una de las etapas mas importantes es el data mining, donde se realiza la estimacion de los parametros de los modelos probabilisticos como son las redes neuronales, random forest, naive bayes, maquinas de soporte vectorial, modelos lineales generalizados logit, probit y log log; posteriormente seran evaluados y analizados con las metricas de clasificacion accuracy, precision, recall, f beta score y curva roc. El fraude se define como la accion contraria a la verdad y a la rectitud, que perjudica a la persona o entidad contra quien se comete, esto conlleva a perdidas economicas y problemas legales; hay diferentes tipos de fraude, como son intruso a redes privadas, tarjeta de credito, telecomunicaciones y lavado de activos. Este trabajo busca comparar la eficiencia de los modelos probabilisticos de la mineria de datos, machine learning y los modelos lineales generalizados para ser aplicados a las transacciones con tarjeta de credito y evaluar con las metricas de clasificacion que modelo probabilistico es eficiente en la deteccion de predecir el fraude.
Forecasting leveraged loan market volatility using GARCH models
Year: 2021

This paper compares different GARCH models in terms of their out of sample predictive ability of leveraged loan market volatility. The study investigates whether the asymmetric effects of good and bad news on volatility is present and how distributional assumptions affect the selection of GARCH models. Compared to two widely used historical volatility models, the simple moving average and the exponentially weighted moving average, the results suggest that asymmetric GARCH models have marginally better out of sample predictive ability. In addition, this study finds that fixed income market volatilities improve the forecasts of loan market volatility. The model comparison involves a regression based approach, loss functions and statistical tests.
AI IMU Dead Reckoning
Venue: IEEE Transactions on Intelligent Vehicles
Year: 2020

In this paper, we propose a novel accurate method for dead reckoning of wheeled vehicles based only on an Inertial Measurement Unit (IMU) In the context of intelligent vehicles, robust and accurate dead reckoning based on the IMU may prove useful to correlate feeds from imaging sensors, to safely navigate through obstructions, or for safe emergency stops in the extreme case of exteroceptive sensors failure. The key components of the method are the Kalman filter and the use of deep neural networks to dynamically adapt the noise parameters of the filter. The method is tested on the KITTI odometry dataset, and our dead reckoning inertial method based only on the IMU accurately estimates 3D position, velocity, orientation of the vehicle and self calibrates the IMU biases. We achieve on average a 1.10% translational error and the algorithm competes with top ranked methods which, by contrast, use LiDAR or stereo vision.
Novel oxygenerator with gas water separation structure and oxygen concentration monitoring function
Year: 2013

The invention discloses a novel oxygenerator with a gas water separation structure and an oxygen concentration monitoring function, and relates to the field of small size household oxygenerators. The novel oxygenerator comprises an outer shell component and an inner shell component, wherein the outer shell component comprises a base, an outer shell front cover and an outer shell rear cover; a light emitting diode (LED) warning lamp and an atomizing port are arranged on the upper part of the front side of the outer shell front cover; an oxygen outlet and a humidifying bottle are arranged on the lower part of the front side of the outer shell front cover; the humidifying bottle is also connected with a flowmeter; gas feeding windows are clamped on the two sides of the outer shell front cover; a storage box and a flip cover are also arranged above the outer shell front cover; the outer shell front cover is tightly connected with the outer shell rear cover through a screw, and the outer shell front cover and the outer shell rear cover are arranged on the base; and universal wheels are arranged at the bottom of the base. The cooled gas water separation system of the simple structure and effective oxygenerator can gather and discharge condensed water in compressed air; and the oxygenerator is also provided with an oxygen concentration monitoring module and a flow monitoring module which are used for acquiring and analyzing the oxygen concentration and the flow data in real time and monitoring the ineffectiveness and the aging condition of a molecular sieve.
Design of Voice Based Control System for Robot
Year: 2018

This paper presents proposal, design and implementation of a hardware software system, which is powered by a PIC microcontroller using a motor driver, a Bluetooth module, managed remotely by an Android application through an Android supported Smartphone or Tablet. The process involved in building the robot which includes the assembling of a chassis used for the robot, programming the microcontroller and developing an application to result in an interface with an android device using Basics 4 android tool. The voice command is person independent. An application is designed to recognize keywords online with the assistance of Google and send signals to corresponding pins on microcontroller. The microcontroller then processes the received data and executes the commands accordingly. The embedded Basic language has been used to program the microcontroller.  Microcontroller, Bluetooth module, Android, embedded BASIC, Basics 4 Android.
Feminism Is for Everybody Passionate Politics
Year: 2014

Preface to the New Edition  Come Closer to Feminism 1.  Where We Stand 2. Consciousness Raising: A Constant Change of Heart 3. Sisterhood Is Still Powerful 4. Feminist Education for Critical Consciousness 5. Our Bodies,  Reproductive Rights 6. Beauty Within and Without 7. Feminist Class Struggle 8. Global Feminism 9. Women at Work 10. Race and Gender 11. Ending Violence 12. Feminist Masculinity 13. Feminist Parenting 14. Liberating Marriage and Partnership 15. A Feminist Sexual Politic: An Ethics of Mutual Freedom 16. Total Bliss: Lesbianism and Feminism 17.  The Heart of Feminism 18. Feminist Spirtuality 19. Visionary Feminism
Revisiting the Roles of Pro Metastatic EpCAM in Cancer
Venue: Biomolecules
Year: 2020

Epithelial cell adhesion molecule (EpCAM) is a cell surface protein that was discovered as a tumour marker of epithelial origins nearly four decades ago. EpCAM is expressed at basal levels in the basolateral membrane of normal epithelial cells. However, EpCAM expression is upregulated in solid epithelial cancers and stem cells. EpCAM can also be found in disseminated tumour cells and circulating tumour cells. Various OMICs studies have demonstrated that EpCAM plays roles in several key biological processes such as cell adhesion, migration, proliferation and differentiation. Additionally, EpCAM can be detected in the bodily fluid of cancer patients suggesting that EpCAM is a pathophysiologically relevant anti tumour target as well as being utilized as a diagnostic/prognostic agent for a variety of cancers. This review will focus on the structure features of EpCAM protein and discuss recent evidence on the pathological and physiological roles of EpCAM in modulating cell adhesion and signalling pathways in cancers as well as deliberating the clinical implication of EpCAM as a therapeutic target.