nils-herrmann/clean_scirepeval huggingface dataset:
Preparation, characterization and adsorptive properties of foam type lithium adsorbent
Year: 2011

Spinel lithium manganese oxide (LMO) foam was prepared by a polyurethane template method. The LMO foam was then treated with an HCl solution to extract lithium from the LMO, resulting in a lithium adsorbent of spinel manganese oxide (MO) foam. The investigations on structure, morphology, composition and Li adsorption properties of the MO foam were carried out by thermogravimetric analysis (DTG) X ray diffractometer (XRD) scanning electron microscope (SEM) transmission electron microscope (TEM) energy dispersive spectrometry (EDS) N 2 adsorption desorption tests and atomic absorption spectrophotometer (AAS) The results show that the MO foam consists of the lithium ion sieve of MO and oxygen containing cross linked pitch. The pitch works as the binder and support to closely bond MO together into a homogeneous three dimensionally interpenetrating network. The MO foam presents meso /macroporous structure which allows free passage of the solution. Li adsorption experiments confirm that the MO foam shows selectivity for Li in the presence of Na K and Mg 2+ It exhibits considerable Li adsorption capacities of 8.73, 3.83 and 1.49 mg (Li+ /g (MO foam) in LiOH solution, LiCl buffer solution and lithium enriched salt lake brine, respectively. This makes the MO foam a promising inorganic lithium adsorbent. The MO foam after Li adsorption can generally maintain its structure and morphology, but the combination of the pitch support and the MO particles becomes loose. The efforts to enhance the overall performances of the MO foam are still underway.
Group variable selection via lp,0 regularization and application to optimal scoring.
Venue: Neural networks the official journal of the International Neural Network Society
Year: 2019

The need to select groups of variables arises in many statistical modeling problems and applications. In this paper, we consider the lp,0 norm regularization for enforcing group sparsity and investigate a DC (Difference of Convex functions) approximation approach for solving the lp,0 norm regularization problem. We show that, with suitable parameters, the original and approximate problems are equivalent. Considering two equivalent formulations of the approximate problem we develop DC programming and DCA (DC Algorithm) for solving them. As an application, we implement the proposed algorithms for group variable selection in the optimal scoring problem. The sparsity is obtained by using the lp,0 regularization that selects the same features in all discriminant vectors. The resulting sparse discriminant vectors provide a more interpretable low dimensional representation of data. The experimental results on both simulated datasets and real datasets indicate the efficiency of the proposed algorithms.
Determination of acute lethal doses (LD50 and LC50) of imidacloprid for the native bee Melipona scutellaris Latreille, 1811 (Hymenoptera: Apidae)
Year: 2015

The bee species Melipona scutellaris (L. is native to Brazil, stingless and belongs to the Apidae family. In Brazil, stingless bees are responsible for 40 to 90% of tree species pollination, depending on the considered ecosystem. However, their survival has been threatened since the country has been standing out as the biggest pesticides consumer in the world. Many of the pesticides used are considered toxic to bees, including imidacloprid (all existing studies were conducted with the Apis mellifera (L. species) Although the bees are not the target of these substances, they are highly vulnerable to contamination. Thereby, the objective of this study was to establish the mean lethal dose (LD 50 and the mean lethal concentration (LC 50 of imidacloprid in the M. scutellaris fodder. In order to carry out this experiment, bees were collected and the test was performed according to OECD's protocol (1998a, 1998b) developed for A. mellifera For the determination of LD 50 and LC 50 data was analyzed through the Probit method, using the BioStat software. The topical LD 50 established in this study was 2.41 ng/bee for 24 hours and 1.29 ng/bee for 48 hours. The oral LC 50 was 2.01 ng i.a./mL for 24 hours and 0.81 ng i.a./mL for 48 hours. This data showed that native bees of M. scutellaris species are more sensitive to this pesticide than A. mellifera. Thus, it is important to establish management methods which take this higher susceptibility into account to protect native species.
Human Rights Practitioners Cannot Be Left Behind: Engaging in Civil Registration and Vital Statistics (CRVS) Systems Thinking for Country Implementation of the Sustainable Development Goal Agenda
Venue: Journal of Human Rights Practice
Year: 2019

With the support of the private sector, civil society, philanthropic organizations and communities, governments from developed and developing nations around the world are scaling up their implementation efforts for achieving the bold and transformative vision of the 2030 Agenda for Sustainable Development. The importance of death registration and certification, and the power of cause of death data, is increasingly discussed in high level multilateral and bilateral forums in relation to country monitoring and measurement of the 17 Sustainable Development Goals (SDGs) which were agreed upon by the UN member states at a high level summit in September 2015 to replace the Millennium Development Goals on their December 2015 expiration. Routinely, however, human rights and development practitioners are removed from these important multi stakeholder conversations on civil registration and vital statistics (CRVS) system strengthening occurring at global, national, and subnational levels. This article will therefore explain why such practitioners might not have traditionally engaged in CRVS related discussion in the past but must urgently engage now. Indeed, both the positives and negatives of SDG CRVS system improvement, combined with the escalating need for human rights based approaches to data and technology, will necessitate involvement from human rights advocates and scholars worldwide in the coming decade and beyond.
Learning towards decolonising relationships at standing rock
Year: 2020

The opposition to the Dakota Access Pipeline that took place at Standing Rock in North Dakota was the largest gathering of Indigenous Peoples in recent U.S. history. Thousands of people, Indigenous and otherwise, came together from across North America and beyond to protect waters and sacred sites threatened by the construction of the Dakota Access oil pipeline. Our study examined the learning of Canada based pipeline activists who travelled to Standing Rock to support the opposition. In this paper, we argue that participating in the Standing Rock resistance camp was an experience rich in informal learning and education for both Indigenous and non Indigenous participants, and that this learning might be best understood as learning towards decolonising relationships. Building from the theoretical concepts of respect, responsibility, reciprocity, and relationship as the overarching umbrella, we outline three types of relationships central to how Standing Rock activists learned within the resistance camp: relationships to people, to community, and to self. A focus on these relationships and the centrality of respect, responsibility, and reciprocity to them provides insight into how the resistance community created opportunities for participants to start to unlearn settler colonialism, and learn towards a decolonising relationality.
Load Balancing Mechanisms in the Software Defined Networks: A Systematic and Comprehensive Review of the Literature
Venue: IEEE Access
Year: 2018

With the expansion of the network and increasing their users, as well as emerging new technologies, such as cloud computing and big data, managing traditional networks is difficult. Therefore, it is necessary to change the traditional network architecture. Lately, to address this issue, a notion named software defined network (SDN) has been proposed, which makes network management more conformable. Due to limited network resources and to meet the requirements of quality of service, one of the points that must be considered is load balancing issue that serves to distribute data traffic among multiple resources in order to maximize the efficiency and reliability of network resources. Load balancing is established based on the local information of the network in the conventional network. Hence, it is not very precise. However, SDN controllers have a global view of the network and can produce more optimized load balances. Although load balancing mechanisms are important in the SDN, to the best of our knowledge, there exists no precise and systematic review or survey on investigating these issues. Hence, this paper reviews the load balancing mechanisms which have been used in the SDN systematically based on two categories, deterministic and non deterministic. Also, this paper represents benefits and some weakness regarded of the selected load balancing algorithms and investigates the metrics of their algorithms. In addition, the important challenges of these algorithms have been reviewed, so better load balancing techniques can be applied by the researchers in the future.
Social Capital and Sleep Quality in Individuals Who Self Isolated for 14 Days During the Coronavirus Disease 2019 (COVID 19) Outbreak in January 2020 in China
Venue: Medical science monitor international medical journal of experimental and clinical research
Year: 2020

From the end of December 2019, coronavirus disease 2019 (COVID 19) began to spread in central China. Social capital is a measure of social trust, belonging, and participation. This study aimed to investigate the effects of social capital on sleep quality and the mechanisms involved in people who self isolated at home for 14 days in January 2020 during the COVID 19 epidemic in central China.  Individuals (n=170) who self isolated at home for 14 days in central China, completed self reported questionnaires on the third day of isolation. Individual social capital was assessed using the Personal Social Capital Scale 16 (PSCI 16) questionnaire. Anxiety was assessed using the Self Rating Anxiety Scale (SAS) questionnaire, stress was assessed using the Stanford Acute Stress Reaction (SASR) questionnaire, and sleep was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Path analysis was performed to evaluate the relationships between a dependent variable (social capital) and two or more independent variables, using Pearson's correlation analysis and structural equation modeling (SEM) Results Low levels of social capital were associated with increased levels of anxiety and stress, but increased levels of social capital were positively associated with increased quality of sleep. Anxiety was associated with stress and reduced sleep quality, and the combination of anxiety and stress reduced the positive effects of social capital on sleep quality.  During a period of individual self isolation during the COVID 19 virus epidemic in central China, increased social capital improved sleep quality by reducing anxiety and stress.
The antioxidant activities of flavonoids in Jerusalem artichoke (Helianthus tuberosus L. leaves and their quantitative analysis.
Venue: Natural product research
Year: 2020

The main targets of this work were to evaluate the antioxidative properties of flavonoids in Jerusalem artichoke (Helianthus tuberosus L. leaves and quantitatively determine their contents. 2,2 diphenyl 1 picrylhydrazyl (DPPH) 2,2 azino bis (3 ethylbenzothiazoline) 6 sulphonic acid (ABTS) and hydroxyl free radicals scavenging assays were performed to determine their antioxidative capacities. The validated ultra high performance liquid chromatography quadrupole time of flight/mass spectrometry (UHPLC Q TOF/MS) method was subsequently applied to the quality evaluation of eleven batches of Jerusalem artichoke leaves grown in different habitats at different harvesting time. Results indicated that two flavonoids isolated from Jerusalem artichoke leaves showed stronger antioxidant effects than the positive control, butylated hydroxytoluene (BHT) And the total contents of the two flavonoids in the Jerusalem artichoke leaves of flowering stage from Dalian, Liaoning Province, China, were the highest, their contents varied significantly depending on region and harvesting time. This study indicated that the leaves of Jerusalem artichoke possessed excellent antioxidant properties, highlighting their candidacy as natural antioxidants, which could be utilized therapeutically to protect the body from diseases caused by oxidative stress.
"The Family Knot" Negotiating Identities and Cultural Values through the Everyday Occupations of an Immigrant Family in Sweden
Year: 2013

This study explored how multiple cultures and identities are negotiated through family orchestrated occupations in the context of international migration. Immigrant families often bring aspects of their past traditions into the lifestyles typical of their new host country, which can lead to dramatic changes in family life. In this narrative study, ethnographic methods were also used to gather data with one family who emigrated from Latin America to Sweden. A narrative analysis was conducted drawing storied material from multiple interviews, observations and field notes into a coherent whole. In line with narrative analysis, the findings are presented through stories, where the data and the theory are constantly interwoven and integrated. The structure of the findings is presented as an "unraveling" of personal stories from a main event or "knot" "The Sunday Lunch" The stories illustrate how occupations provide possibilities for negotiating different layers of the participants' own identities and cultural values, while renegotiating the relationship between their culture of origin and themselves. This study enriches current understanding of the complex process of immigration, and emphasizes the family unit as a fluid and dynamic place, actively reconstituted and negotiated through everyday occupations.
Trends in Management and Outcome of Hospitalized Patients With Acute Stroke and Transient Ischemic Attack: The National Acute Stroke Israeli (NASIS) Registry
Venue: Stroke
Year: 2012

Improving stroke management, guideline adherence, and outcome is a global priority. Our aim was to examine trends in nationwide use of reperfusion therapy, stroke in hospital management, and outcome.  Data were based on the triennial 2 month period of the National Acute Stroke Israeli registry (February to March 2004, March to April 2007, April to May 2010) The registry includes unselected patients admitted to all hospitals nationwide. There were in total 6279 patients: ischemic stroke, 4452 (70.9% intracerebral hemorrhage, 485 (7.7% undetermined stroke, 97 (1.6% and transient ischemic attacks, 1245 (19.8% Results Overall use of reperfusion therapy for acute ischemic stroke increased from 0.4% in 2004% to 5.9% in 2010 (P<0.001; adjusted OR, 17.0; 95% CI, 7.5 38.7) Use of CT or MR angiography for ischemic events increased from 2.1% in 2004% to 16.6% in 2010 (P<0.001; adjusted OR, 9.7; 95% CI, 6.8 13.9) Overall use of antithrombotics and anticoagulation for atrial fibrillation did not differ between periods, whereas clopidogrel use increased nearly 3 fold to 41% and statin use nearly 2 fold to 68% The relative odds of providing reperfusion therapy, using CT or MR angiography, and prescribing anticoagulants for atrial fibrillation were higher among hospitals with large as compared with small stroke patient volumes. In hospital mortality after acute ischemic stroke decreased from 7.2% in 2004 to 3.9% in 2010 (P<0.001; adjusted OR, 0.7; 95% CI, 0.4 1.0) whereas there was no significant change in odds of poor functional outcome.  Based on a nationwide stroke registry, use of reperfusion therapy, vascular imaging, and statins is steadily increasing, whereas in hospital mortality is decreasing.
The impact of malicious nodes positioning on vehicular alert messaging system
Venue: Ad Hoc Networks
Year: 2016

ICT components of vehicular and transportation systems have a crucial role in ensuring passengers' safety, particularly in the scenario of vehicular networks. Hence, security concerns should not be overlooked, since a malicious vehicle might inject false information into the intervehicle wireless links, leading to life and money losses. This is even more critical when considering applications specifically aimed at improving people's safety, such as accident warning systems. To assess the scenario of such type of applications in a vehicular network, we have performed a thorough evaluation of accident warning systems under a position cheating attack. As one of the main contributions of this paper, we determine the impact of a different number of malicious vehicles on delaying the alert warning messages. In particular, we study the impact of the position of malicious vehicles on delaying alert messages. We identify the most effective strategies that could be used by malicious vehicles in order to maximize the delay of the alert message, and thus strengthen the impact of the attacker. Finally, we pinpoint that even with a small number of malicious vehicles, the positioning cheating attack can significantly increase the delay of the alert message when compared to a scenario without attack.
Long term phenotypic correction in factor IX knockout mice by using phiC31 integrase mediated gene therapy
Venue: Gene Therapy
Year: 2011

Hemophilia B, a hereditary bleeding disorder caused by a deficiency of coagulation factor IX (FIX) is an excellent candidate for gene therapy. However, to date, success in hemophilia gene therapy clinical trials has been limited due to failure to achieve or sustain therapeutic levels of factor expression. The phiC31 integrase system efficiently integrates plasmid DNA carrying a transgene and an attB site into a limited number of endogenous pseudo attP sites in mammalian genomes, leading to robust, sustained transgene expression. A strategy utilizing plasmid DNA integrated with phiC31 integrase may offer a facile and safe alternative for sustained human FIX (hFIX) expression. Hydrodynamic tail vein injection was used for delivery of plasmids encoding phiC31 integrase and hFIX to the liver of FIX knockout mice. We demonstrated prolonged therapeutic levels of hFIX in this knockout mouse model of hemophilia B over a 6 month time course when phiC31 integrase was used. Additionally, we observed sustained FIX activity in plasma and phenotypic correction of bleeding after tail clip in phiC31 treated mice. In the livers that received integrase, we also demonstrated prolonged hFIX expression in hepatocytes by immunohistochemistry and documented sequence specific genomic integration of the hFIX plasmid. These studies suggest the possibility that a similar approach in large animals and humans could lead to a simple and successful gene therapy for hemophilia.
Deriving Private Information from General Linear Transfor mation Perturbed Data
Year: 2007

Several perturbation techniques have been proposed for privacy preserving data mining, among which the most popular ones are the additive noise based randomization approach and the rotation based perturbation approach. This paper first presents a general framework based on the general linear transformation, which incorporates both the ad ditive noise based and the rotation based perturbation approaches. Then it explores its privacy preserving property Specifically, an Independent Component Analysis based reconstruction method, AK ICA, is proposed to breach privacy when a subset of sample data are a priori known by attackers. The theoretical analysis and experimental resu lts show that all current transformed privacy preserving data mining techniques may need a careful scrutiny in order to prevent privacy breaches when a subset of sample data are available.
Critical Success Factors for the strategic management of radical technological innovation
Venue: 2014 International Conference on Engineering, Technology and Innovation (ICE)
Year: 2014

On a long term basis it is essential for technology driven companies to create and employ radical technological innovations to stay competitive. This is an important yet complex and difficult undertaking. Previous studies lack a comprehensive investigation of the decisive factors that determine success and failure of such innovations. As their realization is risky, costly, and time consuming, a deep analysis of the Critical Success Factors for the strategic management of radical technological innovations is sensible. Drawing on the data of 23 secondary case studies, we derived a comprehensive set of 25 parameters that influence the context on the one hand, and the process of technology commercialization on the other. However, the results are not totally generalizable due to the sample of the analyzed cases. Further research for testing the Critical Success Factors in real life environment is needed.
Design of order preserving algorithms for transient first order systems with controllable numerical dissipation
Year: 2011

Using a new design procedure termed as Algorithms by Design, which we have successfully introduced in our previous efforts for second order systems, alternatively, we advance in this exposition, the design and development of a computational framework that permits order preserving second order time accurate, unconditionally stable, zero order overshooting behavior, and features with controllable numerical dissipation and dispersion via a family of algorithms for effectively solving transient first order systems. The key feature is the incorporation of a spurious root to introduce controllable numerical dissipation while preserving second order accuracy (order preserving feature) resulting in a two root system, namely, the principal root (r1) and a spurious root (r2) In contrast to the classical Trapezoidal family of algorithms which are the most popular, the present framework has the same order of computational complexity, but a higher payoff that is a significant advance to the field for tackling a wide class of applications dealing with first order transient systems. We also present the special case with selection of r1 1 and any r2 leading to the design of a family of generalized single step single solve [GS4 1] algorithms recovering the Crank Nicolson method at one end (r2 1) and the Midpoint Rule at the other end (r2 0) and anything in between, all of which have spectral radius features resembling that of the Crank Nicolson method. More interestingly, with the particular choice of r1 r2 0, the developed framework additionally inherits L stable features. We illustrate the successful design of the developed GS4 1 framework using two simple illustrative numerical examples.