nils-herrmann/clean_scirepeval huggingface dataset:
Environmental Performances of Forest Products Industry Participating in Global Value Chain Taking the Carbon Emissions of China's Wood Processing and Paper Printing and Publishing Industry as an Example
Year: 2019

Compared with the world's major forest products trading countries, China's forest products industry still has relatively high carbon emission intensity. Based on the environment Kuznets curve model of the global value chain, the paper uses the MRIO model to decompose the carbon emissions of China, focusing on the carbon emission intensity of the forest products industry, and calculating the value chain participation index and value chain position indicators of the forest products industry. It is found that both the wood processing industry and the paper printing and publishing industry value chain participation have a significant impact on carbon emission. Because of great significance to the energy conservation and emission reduction of China's forest products industry, policy implications are to improve the status of division of labor in the value chain and to achieve green economic development by absorbing, developing and adopting more green technologies.
A Cross Cultural Study of Ethics: The United States, Romania, Poland, and the Czech Republic
Year: 2014

Global expansion of business into areas defined by different cultural and national environments creates the need for companies to better understand the impact of culture on business operations. Of particular importance is the role country of residence plays. Researchers argue that many cultural differences are malleable, capable of shifting to fit the corporate culture of an organization. However, additional research aimed at identifying different countries' cultural values is needed. This paper presents the results of a multi national survey of business students identifying differences in cultural perceptions of ethical behaviors. Differences in personal versus social decision making are discussed.
Institutional Repositories, Open Access and Copyright: What Are the Practices and Implications?
Year: 2016

A number of factors are driving open access to full text journals: constantly rising prices of journal and database subscriptions, granting agencies requirements for recipients to submit their research publications into open access repositories, and pressure on libraries to create Institutional Repositories (IR) to promote the institutions' reputations. Research proves that open access promotes the dissemination and use of scholarly works and citations for authors. This article examines the interactions among open access, institutional repositories, and copyright management. The research described herein investigates how institutional repositories are managing copyright and licensing issues that can interfere with open access.
The Evolutionary Demography of Sex Ratios in Rural Bangladesh
Year: 2014

In this chapter, we use evolutionary models of sex ratio variation to examine offspring sex ratios in Matlab, Bangladesh, from the 1960s to 2010, during which time sex ratios have shown a decreasing male bias. Evolutionary models lead us to examine particular aspects of family ecology, yielding predictions both unique from and similar to those proposed in the demographic literature. We examine three evolutionary models the costs of reproduction model, the Trivers Willard hypothesis, and the local resource competition and enhancement models. Our results support both the Trivers Willard and local resource competition/enhancement model, but results for the costs of reproduction model are weak. In general, we find that variables associated with higher wealth, status, and engagement in agriculture are linked to more male biased offspring sex ratios, while higher fertility, older age at marriage, and higher women's education are associated with less male biased sex ratios. We also examine how Bangladesh fits into the larger cultural area of South Asia known in the press and policy circles for its high sex ratios. We compare the correlates of sex ratio in Matlab to those in other parts of the region and discuss why sex ratios in Bangladesh are less male biased, despite shared cultural characteristics, such as son preference and dowry, which some argue "cause" high sex ratios in parts of India and Pakistan. We conclude with a discussion of the utility of evolutionary models and offer policy recommendations for the region.
Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing
Venue: WISA
Year: 2019

Recently, reversible data hiding in encrypted images (RDH EI) has been developed to transmit additional data. Besides extracting the hidden data, the original or processed image should be obtained when needed. In this paper, a new RDH EI method for homomorphic encrypted images is proposed by utilizing the additive homomorphism and self blinding property in Paillier cryptosystem. Specifically, part of the hidden data may be extracted before image decryption while the rest can be extracted after image decryption. In addition, no preprocessing is required so that homomorphic processing can be performed before data embedding. The experimental results on test images validate that the proposed method is compatible with homomorphic image processing before data embedding. Compared with the state of the art methods, higher embedding capacity can be obtained with the proposed method while the original or processed image can be correctly generated.
Ethnobotanical study of medicinal plants used to manage HIV/AIDS opportunistic infections in Rungwe, Mbeya Region, Tanzania
Year: 2018

The current ethnobotanical study identified medicinal plant species used to manage HIV/AIDS opportunistic infections by the communities in Rungwe District, Tanzania. Data were collected using questionnaires (n=193) interviews (n=9) and field observations. A total of 31 plant species from 23 families are used in managing HIV/AIDS opportunistic infections. Compositae and Rosaceae were predominantly used in disease management by 15% each. Of the plant parts, leaves were the most used (44% followed by roots (28% bark (7% fruits, seeds and stem (5% while the least used plant parts were tubers (4% and the whole (2% Tuberculosis utilized 60% of the species, Herpes simplex 55% chronic diarrhea 40% oral candidiasis 35% and Herpes zoster 30% Dissotis phaeotricha scored the highest fidelity value (73% followed by Berberis holstii (60% The knowledge on medicinal plants among respondents was influenced by; informal education (p<0.01) village location (p<0.01) and ethnic background (p<0.05) The study exposed the presence of reasonable knowledge of traditional medicinal plants among communities in Rungwe District. The results contribute to the conservation of experimental experiential knowledge of medicinal plants used in the management of HIV/AIDS opportunistic infections hence, shouldering world's efforts geared towards anti HIV/AIDS innovations.  Ethnobotany, conservation, medicinal plants, traditional practitioner.
Household Hazardous Waste Quantification, Characterization, and Management in Developing Countries' Cities: A Case Study
Year: 2018

The aim of this research is to assess household hazardous waste (HHW) management in Hebron city, Palestine, investigating the HHW types and proportions. In parallel the level of awareness of household heads in regard to knowledge of risks and hazards associated with HHW items is investigated through a comprehensive survey. Also, analysis of the total generated solid waste was carried out during a 14 working day period to detect different HHW components and their proportions. Home products constitute the largest percentage of HHW (42.3% followed by automotive products (17.2% and personal care products (15.4% and healthcare products (12.3% Personal care products are the most category of HHW that is thrown randomly (78.7% Socioeconomic factors were related to attitudes and practices of citizens in regard to HHW. Overall results show the great risk associated with HHW given that under aged are transferring SW from home to container (40.2% with high involved risk of accident; containers in some cases are more than 150 m away from home (19% increasing the aforementioned potential risk. In 18.5% of houses, there was an accident related to HHW risks which are, namely, injuries (42% poisoning (36% burns (22% etc.
Strategies for Delivering Mental Health Services in Response to Global Climate Change: A Narrative Review
Venue: International journal of environmental research and public health
Year: 2020

This narrative review examined strategies for preparedness and response to mental health impacts of three forms of climate change from a services perspective: (1) acute and extreme weather events such as hurricanes, floods, and wildfires, (2) sub acute or long term events such as droughts and heatwaves; and (3) the prospect of long term and permanent changes, including higher temperatures, rising sea levels, and an uninhabitable physical environment. Strategies for acute events included development and implementation of programs and practices for monitoring and treating mental health problems and strengthening individual and community resilience, training of community health workers to deliver services, and conducting inventories of available resources and assessments of at risk populations. Additional strategies for sub acute changes included advocacy for mitigation policies and programs and adaptation of guidelines and interventions to address the secondary impacts of sub acute events, such as threats to livelihood, health and well being, population displacement, environmental degradation, and civil conflict. Strategies for long lasting changes included the implementation of evidence based risk communication interventions that address the existing and potential threat of climate change, promoting the mental health benefits of environmental conservation, and promoting psychological growth and resilience.
Fish Oil Supplementation Does Not Affect Cognitive Outcomes in Cardiac Surgery Patients in the Omega 3 Fatty Acids for Prevention of Post Operative Atrial Fibrillation (OPERA) Trial.
Venue: The Journal of nutrition
Year: 2018

Cognitive decline has been reported following cardiac surgery, leading to great interest in interventions to minimize its occurrence. Long chain n 3 (o 3) polyunsaturated fatty acids (PUFAs) have been associated with less cognitive decline in observational studies, yet no trials have tested the effects of n 3 PUFAs on cognitive decline after surgery.  We sought to determine whether perioperative n 3 PUFA supplementation reduces postoperative cognitive decline in patients postcardiac surgery.  The study comprised a randomized, double blind, placebo controlled, multicenter, clinical trial conducted on cardiac surgery recipients at 9 tertiary care medical centers across the United States. Patients were randomly assigned to receive fish oil (1 g capsules containing =840 mg n 3 PUFAs as ethyl esters) or placebo, with preoperative loading of 8 10 g over 2 5 d followed postoperatively by 2 g/d until hospital discharge or postoperative day 10, whichever came first. Global cognition was assessed using in person testing over 30 d with the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) (primary outcome) Mini Mental State Exam (secondary outcome) and Trails A and B (secondary outcome) tests. All end points were prespecified. Statistical methods were employed, including descriptive statistics, logistic regression, and various sensitivity analyses.  A total of 320 US patients were enrolled in the Omega 3 Fatty Acids for Prevention of Post Operative Atrial Fibrillation (OPERA) Cognitive Trial (OCT) a substudy of OPERA. The median age was 62 y (IQR 53, 70 y) No differences in global cognition were observed between placebo and fish oil groups at day 30 (P 0.32) for the primary outcome, a composite neuropsychological RBANS score. The population demonstrated resolution of initial 4 d cognitive decline back to baseline function by 30 d on the RBANS.  Perioperative supplementation with n 3 PUFAs in cardiac surgical patients did not influence cognition =30 d after discharge. Modern anesthetic, surgical, and postoperative care may be mitigating previously observed long term declines in cognitive function following cardiac surgery.
The creative city a toolkit for urban innovators
Year: 2012

Preface to 2nd Edition The Drama of Urban Change Introduction to 2nd Edition The Creative City: Its Origins and Futures Part I: Urban Groundshifts Rediscovering Urban Creativity Urban Problems, Creative Solutions The New Thinking Part II: The Dynamics of Urban Creativity Creative Urban Transformations Foundations of the Creative City The Creative Milieu Part III: A Conceptual Toolkit of Urban Creativity Getting Creative Planning Started Rediscovering Urban Creativity Assessing and Sustaining the Creative Process Part IV: The Creative City and Beyond The Creative City and Beyond Bibliography Index
Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry
Venue: 2019 International Workshop on Big Data and Information Security (IWBIS)
Year: 2019

A new method for customer churn analysis and prediction has been proposed. The method uses data mining model in banking industries. This has been inspired by the fact that there are around 1,5 million churn customers in a year which is increasing every year. Churn customer prediction is an activity carried out to predict whether the customer will leave the company or not. One way to predict this customer churn is to use a classification technique from data mining that produces a machine learning model. This study tested 5 different classification methods with a dataset consisting of 57 attributes. Experiments were carried out several times using comparisons between different classes. Support Vector Machine (SVM) with a comparison of 50:50 Class sampling data is the best method for predicting churn customers at a private bank in Indonesia. The results of this modeling can be utilized by company who will apply strategic action to prevent customer churn.
THE EFFECT OF CREDIT COLLECTION PRACTICES ON FINANCIAL PERFORMANCE OF MANUFACTURING FIRMS IN KENYA
Venue: International Journal of Finance and Accounting
Year: 2019

The main objective of this study is to establish the effect of credit collection practices on the financial performance of manufacturing firms in Kenya. Manufacturing firms have been experiencing a number of challenges in their application of credit collection practices to ensure sound financial performance.  The study adopted two research designs; descriptive and causal. The accessible population for the study was 558 registered manufacturing firms. Stratified sampling technique was used to select the sample size and a sample of 233 manufacturing firms was arrived at using Yamane's formula. Questionnaires were the main instruments used to collect primary data. Both descriptive and inferential statistics were utilized in data analysis with the aid of SPSS. Data presentation methods used included frequency tables and percentages. Data collected were tested using, univariate test to provide an insight using both parametric (F test) and non parametric test (Pearson correlation coefficient) Multivariate analysis was also carried using the multiple regression analysis which indicated the level of the relationship that existed between the independent variables and the dependent variable.  Findings indicate that the credit collection practices have a significant positive effect on the financial performance of the manufacturing firms (p<0.05) This can be attributed to the fact that owners of manufacturing firms have the ability to control and manage credit through their experienced and skilled credit managers. In conclusion, credit collection practices positively and significantly affected the financial performance of the firms. Unique contribution to Theory, Practice and Policy: The study recommends that registered manufacturing firms operating in Kenya should adopt credit collection practices since it positively and significantly affects the financial performance. This can be achieved by setting techniques which are used to collect credit and this helps in reducing chances of credit defaults.
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2011

Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse to fine warping schemes have somehow relaxed this constraint, there is an inherent dependency between the scale of structures and the velocity that can be estimated. This particularly renders the estimation of detailed human motion problematic, as small body parts can move very fast. In this paper, we present a way to approach this problem by integrating rich descriptors into the variational optical flow setting. This way we can estimate a dense optical flow field with almost the same high accuracy as known from variational optical flow, while reaching out to new domains of motion analysis where the requirement of dense sampling in time is no longer satisfied.
Bundled Defect Rich MoS2 for a High Rate and Long Life Sodium Ion Battery: Achieving 3D Diffusion of Sodium Ion by Vacancies to Improve Kinetics.
Venue: Small
Year: 2019

Molybdenum disulfide (MoS2 a 2D layered compound, is regarded as a promising anode for sodium ion batteries (SIBs) due to its attractive theoretical capacity and low cost. The main challenges associated with MoS2 are the low rate capability suffering from the sluggish kinetics of Na+ intercalation and the poor cycling stability owning to the stack of MoS2 sheets. In this work, a unique architecture of bundled defect rich MoS2 (BD MoS2 that consists of MoS2 with large vacancies bundled by ultrathin MoO3 is achieved via a facile quenching process. When employed as anode for a SIB, the BD MoS2 electrode exhibits an ultrafast charge/discharge due to the pseudocapacitive controlled Na+ storage mechanism in it. Further experimental and theoretical calculations show that Na+ is able to cross the MoS2 layer by vacancies, not only limited to diffusion along the layer, thus realizing a 3D Na+ diffusion with faster kinetics. Meanwhile, the bundling architecture reduces the stack of sheets with a superior cycle life illustrating the highly reversible capacities of 350 and 272 mAh g 1 at 2 and 5 A g 1 after 1000 cycles.
Quantification of morphochemical changes during in situ enzymatic hydrolysis of individual biomass particles based on autofluorescence imaging
Venue: Biopolymers
Year: 2019

Enzymatic hydrolysis of biomass is an established method for producing biofuels. Lignocellulosic biomass such as corn stover is very inhomogeneous material with big variation on conversion rates between individual particles therefore leading to variable recalcitrance results. In this study, we used noninvasive optical microscopy techniques, such as two photon microscopy and fluorescence lifetime imaging microscopy, to visualize and analyze morphological and chemical changes of individual corn stover particles pretreated with sulfuric acid during hydrolysis. Morphochemical changes were interpreted based on the fluorescence properties of isolated building blocks of plant cell wall, such as cellulose, hemicellulose, and lignin. Enzymatic hydrolysis resulted in particle size reduction, side wall collapse, decrease of second harmonic signal from cellulose, redshifting of autofluorescence emission, and lifetime decrease attributed to the relative increase of lignin. Based on these observations, tracking compositional change after hydrolysis of individual particles was accomplished. The methodologies developed offer a paradigm for imaging and analyzing enzymatic hydrolysis in vitro and in situ, which could be used for screening enzymes cocktails targeting specific recalcitrant structures or investigating locally enzyme anti inhibitory agents.
What Role Do Intelligent Reflecting Surfaces Play in Non Orthogonal Multiple Access?
Year: 2020

Massive multiple input multiple output (MIMO) and non orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks. A massive MIMO NOMA system can deliver remarkable spectral improvements and reduced communication latency. Nevertheless, the uncontrollable stochastic behavior of the wireless channels can still degrade its performance. In this context, intelligent reflecting surface (IRS) has arisen as a promising technology for smartly overcoming the harmful effects of the wireless environment. The disruptive IRS concept of controlling the propagation channels via software can provide attractive performance gains to the communication networks, including higher data rates, improved user fairness, and, possibly, higher energy efficiency. In this article, in contrast to the existing literature, we demonstrate the main roles of IRSs in MIMO NOMA systems. Specifically, we identify and perform a comprehensive discussion of the main performance gains that can be achieved in IRS assisted massive MIMO NOMA (IRS NOMA) networks. We outline exciting futuristic use case scenarios for IRS NOMA and expose the main related challenges and future research directions. Furthermore, throughout the article, we support our in depth discussions with representative numerical results.
Characterization of Left Ventricular Non Compaction Cardiomyopathy
Venue: Journal of clinical medicine
Year: 2020

Left ventricle non compaction cardiomyopathy (LVNC) has gained great interest in recent years, being one of the most controversial cardiomyopathies. There are several open debates, not only about its genetic heterogeneity, or about the possibility to be an acquired cardiomyopathy, but also about its possible overdiagnosis based on imaging techniques. In order to better understand this entity, we identified 38 LVNC patients diagnosed by cardiac MRI (CMRI) or anatomopathological study that could underwent NGS sequencing and clinical study. Anatomopathological exam was performed in eight available LVNC hearts. The genetic yield was 34.2% Patients with negative genetic testing had better left ventricular ejection fraction (LVEF) or it showed a tendency to improve in follow up, and a possible trigger factor for LVNC was identified in 1/3 of them. Nonetheless, cerebrovascular accidents occurred in similar proportions in both groups. We conclude that in LVNC there seem to be different ways to achieve the same final phenotype. Genetic testing has a good genetic yield and provides valuable information. LVNC without an underlying genetic cause may have a better prognosis in terms of LVEF evolution. However, anticoagulation to prevent cerebrovascular accident (CVA) should be carefully evaluated in all patients. Larger series with pathologic examination are needed to help better understand this entity.
NLP PINGAN TECH CL SciSumm 2020
Venue: SDP
Year: 2020

We focus on systems for TASK1 (TASK 1A and TASK 1B) of CL SciSumm Shared Task 2020 in this paper. Task 1A is regarded as a binary classification task of sentence pairs. The strategies of domain specific embedding and special tokens based on language models are proposed. Fusion of contextualized embedding and extra information is further explored in this article. We leverage Sembert to capture the structured semantic information. The joint of BERT based model and classifiers without neural networks is also exploited. For the Task 1B, a language model with different weights for classes is fine tuned to accomplish a multi label classification task. The results show that extra information can improve the identification of cited text spans. The end to end trained models outperform models trained with two stages, and the averaged prediction of multi models is more accurate than an individual one.