nils-herrmann/clean_scirepeval huggingface dataset:
Bee algorithms for parallel two sided assembly line balancing problem with walking times
Venue: Appl. Soft Comput.

The parallel two sided ALB with walking times is addressed.A mathematical programming model is presented to describe the problem formally.Bees algorithm is utilized to solve parallel two sided ALB.Artificial bee colony algorithm is utilized to solve parallel two sided ALB.An extensive computational study has been performed. Production lines, designed in a serial manner, have attracted the attention of researchers for many years. Line efficiency, throughput time and workload balancing are the main concerns regarding assembly lines, due to the high volume production. Recently, specific assembly line configurations, such as two sided and parallel lines, have been addressed by researchers within the operational levels of production. Parallel two sided assembly lines, rather a new research area, allocate more flexible workers and reduce throughput time by incorporating the advantages of two sided and parallel assembly lines. Since parallel two sided assembly lines are utilized to produce large scale products, such as automobiles, trucks, and buses in industry; they also require a significant worker movement between parallel lines because of the unavoidable walking distances between lines. In this respect, different from the existing literature, walking distances have been included in parallel two sided assembly line balancing problem. The main purpose of this paper is to introduce parallel two sided assembly line balancing problem with walking times and to propose the implementation of Bees Algorithm and Artificial Bee Colony algorithm due to the NP hardness of the problem. An extensive computational study is also carried out and the comparative results are presented.
Systematic review for orthodontic and orthopedic treatments for anterior open bite in the mixed dentition
Venue: Progress in orthodontics

BackgroundThe treatment options for the early treatment of anterior open bite are still controversial. The aim of this study was to evaluate the actual available evidence on treatments of anterior open bite in the mixed dentition in order to assess the effectiveness of the early treatment in reducing open bite, the most efficacious treatment strategy and the stability of the results.Materials and methodsA literature survey was done on November 15, 2015, by means of appropriate Medical Subject Headings (MeSH) using the following databases: PubMed, EMBASE, Cochrane Library, LILACS, VHL, and WEB OF SCIENCE.Randomized clinical trials and studies with a control group (treated or untreated) were then selected by two authors. Trials including patients with syndromes or in the permanent dentition and studies concerning treatment with extractions, full fixed appliances, or surgery were not considered.Full articles were retrieved for abstracts or titles that met the initial inclusion criteria or lacked sufficient detail for immediate exclusion.ResultsTwo thousand five hundred sixty nine studies about open bite were available; the search strategy selected 240 of them.Twenty four articles have been judged suitably for the final review, and their relevant data were analyzed.DiscussionAlthough this review confirms the effectiveness of early treatment of open bite, particularly when no compliance strategies are employed, meta analysis was unfeasible due to lack of standardization, important methodological limitations, and shortcomings of the studies.ConclusionsA more robust approach to trial design in terms of methodology and error analysis is needed. Besides, more studies with longer periods of follow up are required.
Severe Anterior Open Bite during Mixed Dentition Treated with Palatal Spurs.
Venue: The Journal of clinical pediatric dentistry

Deleterious oral habits, such as non nutritive sucking or tongue thrusting, if not intercepted at an early stage can cause complex malocclusions. This manuscript describes a clinical case report of a successful interception of a severe anterior dental open bite caused by thumb sucking and tongue thrusting habits. The case involved a six year old female patient treated with the use of palatal spurs and maxillary removable crib followed by monitoring the development of dental occlusion. At the end of the interceptive phase acceptable results were achieved, showing the efficacy of the treatment undertaken as well the importance of an early intervention to remove harmful oral habits.
Time course of hepatic gene expression and plasma vitellogenin protein concentrations in estrone exposed juvenile rainbow trout (Oncorhynchus mykiss)
Venue: Comparative biochemistry and physiology. Part D, Genomics proteomics

Estrone (E1) a natural estrogen hormone found in sewage effluents and surface waters, has known endocrine disrupting effects in fish, thus, it is a contaminant of emerging concern. Juvenile rainbow trout (Oncorhynchus mykiss) were exposed to an environmentally relevant concentration of E1 (24ng/L E1 [0.1nM] for 7d and then placed in clean water for a 9d recovery period. RNA sequencing showed transcripts from numerous affected biological processes (e.g. immune, metabolic, apoptosis, clotting, and endocrine) were altered by E1 after 4d of treatment. The time course of E1 inducible responses relating to vitellogenesis was examined daily during the two phases of exposure. Hepatic gene expression alterations evaluated by quantitative polymerase chain reaction (QPCR) were found during the treatment period for vitellogenin (VTG) vitelline envelope proteins (VEPs) a, b and g, and estrogen receptor a1 (ERa1) transcripts. ERa1 was the only transcript induced each day during the treatment phase, thus it was a good indicator of E1 exposure. Gradual increases occurred in VEPb and VEPg transcripts, peaking at d7. VTG transcript was only elevated at d4, making it less sensitive than VEPs to this low level E1 treatment. Inductions of ERa1, VEPa, VEPb and VEPg transcripts ceased 1d into the recovery phase. Plasma VTG protein concentrations were not immediately elevated but peaked 7d into the recovery phase. Thus, elevated vitellogenesis related gene expression and protein production occurred slowly but steadily at this concentration of E1, confirming the sequence of events for transcripts and VTG protein responses to xenoestrogen exposure.
Depopulation of Single Phthalocyanine Molecular Orbitals upon Pyrrolic Hydrogen Abstraction on Graphene.
Venue: ACS nano

Single molecule chemistry with a scanning tunneling microscope has preponderantly been performed on metal surfaces. The molecule metal hybridization, however, is often detrimental to genuine molecular properties and obscures their changes upon chemical reactions. We used graphene on Ir(111) to reduce the coupling between Ir(111) and adsorbed phthalocyanine molecules. By local electron injection from the tip of a scanning tunneling microscope the two pyrrolic H atoms were removed from single phthalocyanines. The detachment of the H atom pair induced a strong modification of the molecular electronic structure, albeit with no change in the adsorption geometry. Spectra and maps of the differential conductance combined with density functional calculations unveiled the entire depopulation of the highest occupied molecular orbital upon H abstraction. Occupied p states of intact molecules are proposed to be emptied via intramolecular electron transfer to dangling s states of H free N atoms.
Persistent sulfate formation from London Fog to Chinese haze
Venue: Proceedings of the National Academy of Sciences

Exceedingly high levels of fine particulate matter (PM) occur frequently in China, but the mechanism of severe haze formation remains unclear. From atmospheric measurements in two Chinese megacities and laboratory experiments, we show that the oxidation of SO2 by NO2 occurs efficiently in aqueous media under two polluted conditions: first, during the formation of the 1952 London Fog via in cloud oxidation; and second, on fine PM with NH3 neutralization during severe haze in China. We suggest that effective haze mitigation is achievable by intervening in the sulfate formation process with NH3 and NO2 emission control measures. Hence, our results explain the outstanding sulfur problem during the historic London Fog formation and elucidate the chemical mechanism of severe haze in China. Sulfate aerosols exert profound impacts on human and ecosystem health, weather, and climate, but their formation mechanism remains uncertain. Atmospheric models consistently underpredict sulfate levels under diverse environmental conditions. From atmospheric measurements in two Chinese megacities and complementary laboratory experiments, we show that the aqueous oxidation of SO2 by NO2 is key to efficient sulfate formation but is only feasible under two atmospheric conditions: on fine aerosols with high relative humidity and NH3 neutralization or under cloud conditions. Under polluted environments, this SO2 oxidation process leads to large sulfate production rates and promotes formation of nitrate and organic matter on aqueous particles, exacerbating severe haze development. Effective haze mitigation is achievable by intervening in the sulfate formation process with enforced NH3 and NO2 control measures. In addition to explaining the polluted episodes currently occurring in China and during the 1952 London Fog, this sulfate production mechanism is widespread, and our results suggest a way to tackle this growing problem in China and much of the developing world.
Evaluation des proprietes thermiques de la plateforme du Saint Laurent mesures au laboratoire et approche diagraphique.

Une evaluation des proprietes thermiques du bassin sedimentaire des Basses Terres du Saint Laurent (BTSL) a ete realisee. Les proprietes thermiques ciblees sont la conductivite et la capacite thermique massique. Des methodes directes et d'autres indirectes ont ete utilisees pour estimer ces proprietes. L'objectif principal de ce travail consiste a apporter une evaluation fiable de ces proprietes thermiques necessaires pour une prospection efficace des ressources geothermiques du bassin. Ce travail s'inscrit dans un vaste projet qui etudie la possibilite d'installer une centrale electrique geothermique au Quebec. Dans une premiere etape, les caracteristiques thermiques de ce bassin ont ete evaluees sur des echantillons de surface. Quarante sept echantillons issus des differentes formations geologiques ont ete analyses. Des mesures directes de la conductivite thermique ont ete realisees en laboratoire a l'aide d'une sonde a aiguille. La capacite thermique massique a ete evaluee en utilisant la composition mineralogique determinee sur des observations microscopiques. On a calcule ensuite les proprietes thermiques moyennes pour chaque unite du bassin. Dans une seconde etape, des profils de conductivite thermique ont ete determines a partir des donnees diagraphiques disponibles pour le bassin des BTSL. L'objectif de cette methode indirecte est de reduire l'incertitude liee a l'heterogeneite de ce parametre. Deux approches, une basee sur des inversions et l'autre sur des regressions multilineaires, ont ete appliquees et des corrections de pression ainsi que de temperature ont ete apportees aux profils de conductivite thermique. La resolution de l'equation de chaleur (Poisson) par difference finie a finalement permis d'evaluer la densite du flux de chaleur terrestre et de determiner un profil de temperature pour chaque puits. Les resultats demontrent que les formations argileuses des groupes d'Utica et de Sainte Rosalie sont les plus isolantes, avec une conductivite thermique de l'ordre de 2.5 W/(m.K) et une capacite thermique massique de pres de 850 J/(kg. K) En revanche, les formations greseuses se presentent comme les unites les plus conductrices de chaleur. Les gres du Groupe de Potsdam, par exemple, montrent une conductivite thermique allant jusqu'a 6 W/(m.K) et une chaleur massique de 730 J/(kg. K) La carte du flux de chaleur preparee montre des estimations allant de 40 mW/m2 a 140 mW/m2. Les temperatures moyennes calculees sont de l'ordre de de 32deg C a 1000 m, 63deg C a 2500 m, 95deg C a 4000 m et 119deg C a 5000 m de profondeur. Certaines valeurs elevees sont situees pres de la ligne Logan qui delimite les provinces geologiques des Basses Terres du Saint Laurent des Appalaches.
Municipal composts reduce the transfer of Cd from soil to vegetables.
Venue: Environmental pollution

Cadmium (Cd) is a non essential trace element that accumulates in agricultural soils through the application of Cd rich phosphate fertiliser. Vegetables can accumulate Cd to concentrations that sometimes exceed food safety standards. We investigated the potential of low cost soil amendments to reduce Cd uptake by spinach (Spinacia oleracea L. lettuce (Lactuca sativa L. and onion (Allium cepa L. Batch sorption experiments revealed the relative sorption of Cd by biosolids, charcoal, lignite, sawdust, two types of compost, bentonite and zeolite. Lignite and compost had the greatest ability to sorb Cd and were subsequently selected for pot trials, which elucidated their effect on Cd uptake by onions, spinach and lettuce in two market garden soils with native Cd concentrations of 1.45 mg/kg and 0.47 mg/kg. The addition of 2.5% (dry w/w) municipal compost reduced the Cd concentration in onions, spinach and lettuce by up to 60% in both soils. The addition of lignite gave variable results, which depended on the soil type and rate of addition. This Cd immobilisation was offset by soil acidification caused by the lignite. The results indicate that municipal compost is a low cost soil conditioner that is effective in reducing plant Cd uptake.
Where is my mate Real time 3 D fish tracking for interactive mate choice experiments

Virtual 3 D fish stimulus animations are a powerful tool in fish behaviour research. Besides the option to increase standardisation of such experiments it opens the possibility to change stimulus' morphology or colouration. The next evolution step in virtual stimulus animations is the ability of interaction between live and virtual fish. Since the virtual stimulus fish can not see its live counterpart and consequently can not interact with it, such systems require a reliable real time tracking of the live fish. In this paper we present an easy to handle method for fully automatic real time 3 D tracking of fish. The method was already tested in practice successfully.
The price does not include additional taxes, fees, and surcharges: A review of research on partitioned pricing

In the past two decades, pricing research has paid increasing attention to instances where a product's price is divided into a base price and one or more mandatory surcharges, a practice termed partitioned pricing. Recently, partitioned pricing strategies in the marketplace have become more pervasive and complex, raising concerns that consumers do not always fully attend to or process all price information, and underestimate total prices, which in turn influences their purchasing behavior. Thus, understanding how partitioned prices affect consumers is of increasing interest to consumer researchers, public policy makers, and marketing managers. This paper reviews and organizes the academic literature on partitioned pricing and proposes an agenda for future research. We focus on the psychological processes underlying partitioned pricing, to help these three constituencies understand how partitioned pricing works, the mechanisms by which it exerts its impact, and the appropriate areas where the practice may need regulation to protect consumers.
Aging in Multi ethnic Malaysia.
Venue: The Gerontologist

Multiethnic Malaysia provides a unique case study of divergence in population aging of different sociocultural subgroups within a country. Malaysia represents 3 major ethnicities in Asia the Malay, Chinese, and Indian. The 3 ethnic groups are at different stages of population aging, as they have undergone demographic transition at different pace amidst rapid social and economic changes. Between 1991 and 2010, the Malaysian population aged 60 and over has more than doubled from about 1 million to 2.2 million, and this is projected to rise to about 7 million or 17.6% of the projected population of 40 million by 2040. In 2010, the aging index ranged from 22.8% among the Bumiputera (Malays and other indigenous groups) to 31.4% among the Indians and 55.0% among the Chinese. Population aging provides great challenges for Malaysia's social and economic development. The increasing prevalence of noncommunicable diseases in older adults, coupled with the erosion of the traditional family support system has increased demands on health care services with an overwhelming need for multidisciplinary and specialized geriatric care. Following the adoption of the National Policy for the Elderly in 1995, issues of population aging have gained increasing attention, especially among researchers. There is an urgent need to increase public awareness, develop infrastructure, as well as support action oriented research that will directly translate to comprehensive and cohesive social strategies, policies, and legislation to protect not just the current older Malaysians but the future of all Malaysians.
Aging and Current Trends in Malaysia

This paper is aimed to highlight the current trends, changes and issues affecting the elderly. Malaysia will experience Aging Population in 2030 when the population over 60 years old will be 15% The Malaysian population is experiencing an increase in life expectancy. Declining Fertility in late marriage, reduction in the family size, more women in the work force and urbanization are among other current changes. However, as the elderly continue to adjust to these changes and trends, there are more challenges which they face silently. Some of the elderly experience Depression which affects their inability to make accurate decisions and slows down their social and physical function. More adult care facilities and support groups needs to be initiated to look into the various problems of the elderly and help them overcome them.
Effect of Tulsi (Ocimum sanctum Linn. Supplementation on Metabolic Parameters and Liver Enzymes in Young Overweight and Obese Subjects
Venue: Indian Journal of Clinical Biochemistry

Ocimum sanctum Linn. (also known as Tulsi) is a sacred Indian plant, the beneficial role of which, in obesity and diabetes is described traditionally. This is a randomized, parallel group, open label pilot study to investigate the effect of O. sanctum on metabolic and biochemical parameters in thirty overweight/obese subjects, divided into two groups A and B. Group A (n 16) received one 250 mg capsule of Tulsi (O. sanctum) extract twice daily in empty stomach for 8 weeks and group B (n 14) received no intervention. Statistically significant improvements in the values of serum triglycerides (p 0.019) low density lipoprotein (p 0.001) high density lipoprotein (p 0.001) very low density lipoprotein (p 0.019) Body Mass Index, BMI (p 0.005) plasma insulin (p 0.021) and insulin resistance (p 0.049) were observed after 8 weeks in the O. sanctum intervention group. The improvement in HDL C in the intervention group when compared to the control group was also statistically significant (p 0.037) There was no significant alteration of the liver enzymes SGOT and SGPT in both the intervention (p 0.141; p 0.074) and control arms (p 0.102; p 0.055) respectively. These observations clearly indicate the beneficial effects of O. sanctum on various biochemical parameters in young overweight/obese subjects.
Green Human Resource Management and Green Supply Chain Management: linking two emerging agendas

Green Human Resource Management (GHRM) and Green Supply Chain Management (GSCM) are popular subjects in the areas of human resource management (HRM) and operations management (OM) respectively. Although scholars in each of these areas are advancing the roles of GSCM and GHRM in building more sustainable organizations, there has been a significant delay in the integration of these two contemporary subjects, based on a greater gap in the integration of HRM and supply chain management (SCM) Thus, the aims of this study are to propose a synergistic and integrative framework for the GHRM GSCM relationship and to propose a research agenda for this integration. After reaching these goals, this article emphasizes the implications of GHRM GSCM integration for scholars, managers, and practitioners in the areas of organizational sustainability and truly sustainable supply chains.
Prediction of Mental Health Problems Among Children Using Machine Learning Techniques

Early diagnosis of mental health problems helps the professionals to treat it at an earlier stage and improves the patients' quality of life. So, there is an urgent need to treat basic mental health problems that prevail among children which may lead to complicated problems, if not treated at an early stage. Machine learning Techniques are currently well suited for analyzing medical data and diagnosing the problem. This research has identified eight machine learning techniques and has compared their performances on different measures of accuracy in diagnosing five basic mental health problems. A data set consisting of sixty cases is collected for training and testing the performance of the techniques. Twenty five attributes have been identified as important for diagnosing the problem from the documents. The attributes have been reduced by applying Feature Selection algorithms over the full attribute data set. The accuracy over the full attribute set and selected attribute set on various machine learning techniques have been compared. It is evident from the results that the three classifiers viz. Multilayer Perceptron, Multiclass Classifier and LAD Tree produced more accurate results and there is only a slight difference between their performances over full attribute set and selected attribute set.
A query system for social media signals
Venue: 2016 IEEE 32nd International Conference on Data Engineering (ICDE)

Social media nowcasting, the process of estimating real world phenomena from social media data, has grown in popularity over the last several years as an alternative to traditional data collection methods like phone surveys. Unfortunately, current nowcasting methods depend on pre existing, traditionally collected survey data as an aid to sift through the huge number of signals that can be derived from social media. This dependence severely limits the applicability of current nowcasting techniques. If we could remove this need for conventional data, social media signals could describe a much wider range of target phenomena. We have built a nowcasting querying system that estimates real world phenomena without requiring any conventional data, relying instead upon an interactive exploration with users. Specifically, our system exploits a user provided multi part query consisting of semantic and signal components. The user can explore in real time the tradeoff between these two components to find the most relevant social media signals to estimate the target phenomenon. Our demonstration system lets users search for signals within a large Twitter corpus using a dynamic web based interface. Also, users can share results with the general public, review and comment on others' shared results, and clone these results as starting points for further exploration and querying.