nils-herrmann/clean_scirepeval huggingface dataset:
Graph Based Metric Embedding for Next POI Recommendation
Venue: WISE

With the rapid prevalence of smart mobile devices and the dramatic proliferation of location based social networks LBSNs, point of interest POI recommendation has become an important means to help people discover attractive and interesting places. In this paper, we investigate the problem of next POI recommendation by considering the sequential influences of POIs, as a natural extension of the general POI recommendation, but it is more challenging than the general POI recommendation, due to that 1 users' preferences are dynamic, and the next POI recommendation requires tracking the change of user preferences in a real time manner; and 2 the prediction space is extremely large, with millions of distinct POIs as the next prediction target, which impedes the application of classical Markov chain models. In light of the above challenges, we propose a graph based metric embedding model which converts POIs in a low dimensional metric and tracks the dynamics of user preferences in an efficient way. Besides, the knowledge of sequential patterns of users' check in behaviors can be exploited and encoded in the POI embedding, which avoid the time consuming computation of the POI POI transition matrix or even cube as the Markov chain based recommender models have done. In other words, our proposed method effectively unifies dynamic user preferences and sequential influence via the POI embedding. Experiments on two real large scale datasets demonstrate a significant improvement of our proposed models in terms of recommendation accuracy, compared with the state of the art methods.
Decision Making in Smart Service Systems: A Viable Systems Approach Contribution to Service Science Advances
Venue: IESS

In contemporary dynamic markets, approaches to management based on systems theory have assumed increasing relevance, leading firms to valorise a holistic optic to challenge environmental changes. In particular, Viable Systems Approach (v S a) symbolizes the aforementioned holistic view of enterprises, introducing some innovative concepts that renovate traditional managerial paradigms in terms of decision making. Simultaneously, in the field of service research, Service Science can be interpreted as an all encompassing framework investigating the efficiency of firms, which are in turn intended as service systems; there are numerous points of convergence between Service Science research stream and the v S a. Therefore, this paper aims to combine the two, highlighting the common features, in order to propose insights for an integrated and shared macro level conceptualization of service systems and smart service systems. The main goal is to demonstrate the opportunities for capturing emerging contributes to Service Science advances. This can be achieved by fostering different views and paradigms, such as the v S a, thus avoiding a possible "missed call" from the existing worldwide Service Science research community.
Le destinazioni balneari: un modello integrato per lo studio della fidelizzazione del segmento turistico giovanile

The study aims to develop a theoretical framework to analyze tourist loyalty relative to choice of destination.  The research model proposed is tested by means of an empirical study conducted on a sample of students who travel regularly for pleasure or leisure. To verify reliability relative to the measurement model, a confirmatory factor analysis was carried out. The path analysis was conducted using a structural equation model (SEM) Findings The paper confirms the hypothesis that in addition to traditional motives of push and pull, tourist fidelity is also influenced by commitment.  The main limitation is the sample population, in that it is not representative of all tourist segments.  The paper helps organizations, managers and politicians to better manage tourist services and tourist destination offer, in particular with respect to actions to put in place relative to destination and communication models.  The work attempts to integrate various models in order to study tourist fidelity, in particular incorporating and combining in the model of push (internal) and pull (external) factors the theory of commitment.
SnO2 Quantum Dots@Graphene Oxide as a High Rate and Long Life Anode Material for Lithium Ion Batteries.
Venue: Small

Tin based electrode s offer high theoretical capacities in lithium ion batteries, but further commercialization is strongly hindered by the poor cycling stability. An in situ reduction method is developed to synthesize SnO2 quantum dots@graphene oxide. This approach is achieved by the oxidation of Sn(2+ and the reduction of the graphene oxide. At 2 A g( 1) a capacity retention of 86% is obtained even after 2000 cycles.
Re excitation of localized electrons in SnO2 quantum dots for enhanced water photolysis activity

Trapping and further localization of photo generated carriers by defects in a photocatalyst are crucial obstacles for enhancing the efficiency of hydrogen generation from water photolysis. In this paper, we reported a re excitation mechanism of localized electrons assisted by infrared light for improving photocatalytic activity. Increasing hydrogen production is demonstrated when introducing infrared light for SnO2 quantum dots at a grain size smaller than twice its Debye length and supported on g C3N4. Comparatively, in absence of infrared light, rich oxygen vacancies in these SnO2 quantum dots reduced the photocatalytic activity. The re excitation of localized electrons would provide a viable approach to utilize electrons more efficiently in the photocatalytic or other catalytic fields.
Approximate orthogonality of powers for ergodic affine unipotent diffeomorphisms on nilmanifolds

Let G be a connected, simply connected nilpotent Lie group and \Gamma G a lattice. We prove that each ergodic diffeomorphism \phi(x\Gamma)=uA(x)\Gamma on the nilmanifold G/\Gamma where u\in G and A:G\to G is a unipotent automorphism satisfying A(\Gamma)\Gamma enjoys the property of asymptotically orthogonal powers (AOP) Two consequences follow: (i) Sarnak's conjecture on Mobius orthogonality holds in every uniquely ergodic model of an ergodic affine unipotent diffeomorphism; (ii) For ergodic affine unipotent diffeomorphisms themselves, the Mobius orthogonality holds on so called typical short interval: \frac1 M\sum_{M\leq m<2M}\left|\frac1H\sum_{m\leq n<m+H} f(\phi^n(x\Gamma)\mu (n)\right|\to 0$ as H\to\infty and H/M\to0 for each x\Gamma\in G/\Gamma and each f\in C(G/\Gamma) In particular, the results in (i) and (ii) hold for ergodic nil translations. Moreover, we prove that each nilsequence is orthogonal to the Mobius function \mu$ on a typical short interval. We also study the problem of lifting of the AOP property to induced actions and derive some applications on uniform distribution.
Scaling Up: Adapting a Phage Hunting Course to Increase Participation of First Year Students in Research
Venue: CBE life sciences education

To offer a research experience to all students taking introductory biology, the authors modified the traditional two semester Science Education Alliance Phage Hunters Advancing Genomics and Evolutionary Science (SEA PHAGES) course by streamlining the first semester Phage Discovery lab and integrating research from the second SEA PHAGES semester into other courses in the biology curriculum.
A Tauberian Theorem for Nonexpansive Operators and Applications to Zero Sum Stochastic Games
Venue: Math. Oper. Res.

We prove a Tauberian theorem for nonexpansive operators and apply it to the model of zero sum stochastic game. Under mild assumptions, we prove that the value of the l discounted game converges uniformly when l goes to zero if and only if the value of the n stage game converges uniformly when n goes to infinity. This generalizes the Tauberian theorem of Lehrer and Sorin [Lehrer E, Sorin S (1992) A uniform Tauberian theorem in dynamic programming. ] to the two player zero sum case. We also provide the first example of a stochastic game with public signals on the state and perfect observation of actions, with finite state space, signal sets, and action sets, in which for some initial state known by both players, the value of the l discounted game and the value of the n stage game starting at that initial state converge to distinct limits.
A Literature Review on the Connection between Stress and Self Esteem

The current study investigates how stress and self esteem interact in a wide range of levels. Studying the recent literature of the last five years, we understood that the findings indicated that self esteem affected stress and it was affected from stress. This interaction takes place in different levels, including personal, psychological and professional parameters. These findings point out the importance of this interaction and the necessity of use of some stress management techniques which can not only reduce stress, but also improve self esteem. As a result, the purpose of this literature review is to examine the connection between stress and self esteem and to use this knowledge in order to reduce stress, improve self esteem and as a result eliminate psychological disorders and ameliorate the quality of people's life.
Bacteriological Quality of Fresh Vegetables Salad Sold in Schools Canteens and Restaurants in Gaza Strip Palestine

This research aimed to investigate the bacteriological quality of fresh vegetables salad sold in the local school canteens and restaurants in Gaza strip, Palestine. Samples examined included different types of fresh vegetables salad. A total of 200 random samples were collected from school canteens (100 samples) and different restaurants (100 samples) in Mid Zone, Khan Younis and Rafah governorates during the period from April to June 2013. All samples were examined for Total Plate Count, Total Coliform bacteria, Escherichia coli Staphylococcus aureus Bacillus cereus Listeria spp. L. monocytogenes Salmonella spp. Shigella spp. and E. coli O157:H7. Eighty eight percentage of vegetables salad samples failed to comply with Guidelines for the microbiological examination of ready to eat foods, Food Standards Australia New Zealand. The percentage of failure is distributed as follows; 79.5% with Total Plate Count, 60.5% with Total Coliform bacteria, 53.5% with E. coli 21.5% with S. aureus 14% B. cereus 7.5% Listeria spp. 2% L. monocytogenes 5% Salmonella spp. 1% Shigella spp. and 1% E. coli O157:H7. In this study the mixed vegetables salad samples were showed the highest non compliant. Moreover, several potential pathogens were isolated; Cronobacter sakazakii (12.5% 25) Pasteurella spp. (3% 6) and Aeromonas hydrophila (0.5% 1) The results indicated that the tested vegetables salads had poor microbiological quality, and could act as a vehicle for food borne pathogens such as Salmonella spp. Shigella spp. E. coli O157:H7 and L. monocytogenes which justifies the necessity for the urgent actions to promote awareness about the possible health hazards.
Assessment of the sanitary conditions and food handlers' practices of public and private high school canteens in Eastern Visayas, Philippines

The aim of this study was to evaluate the sanitary conditions and food handlers' practices of 22 high school canteens from five major cities of Eastern Visayas, Philippines. Fifteen public and seven private schools in Tacloban, Ormoc, Catbalogan, Baybay and Maasin City which adopted the "cook serve" method were selected and assessed based on food service checklist that was formulated in compliance with the Philippine Code of Sanitation (1976) for food establishments. Results have shown that six (40% out of 15 public schools have medium sanitary conditions while 9 (60% of these schools were classified under poor sanitary conditions. In private schools, one (14% four (57% and two (29% schools have good, medium and poor sanitary conditions, respectively. Results have also indicated that public schools may have an overall lower sanitary conditions as compared to private schools based on the higher numbers of public schools classified under poor sanitary conditions. Considering the criterion on food handlers' hygiene, both public (6.25) and private schools (6.25) scored low indicating poor hygiene practices. From this study, it can be suggested that aspects of the acquisition of permits and certificates, improvement of facility design and strict implementation of hygiene practices should be given careful consideration by the school administrators, including the local government units. An example of intervention that should be done includes training targeting food handlers to increase their awareness on good manufacturing practices (GMPs).Quantification of microbial contents of food and water is also warranted.
Hygiene Practices Among Food Vendors in Hohoe Township

Street food vending has become a very lucrative business across all parts of the globe. However, little attention has been given to the safety of such foods thus, becoming a great challenge to public health. This study was conducted to examine the hygiene practices observe by food vendors at sites where food is prepared and sold in the Hohoe Township.  This was a cross sectional study which employed simple random sampling technique to select 187 respondents over the period of July to December, 2015. Chi square test was used to test for association between some selected variables at a significant level of 0.05. Data was entered into epi data version 3.1 and exported to Stata version 11 for analysis.  Of the 187 respondents, majority of 181(96.79% were female with 113(60.43% attaining the basic school education. About 35(18.7% used their bare hands in picking food for customers with 149(78.92% been medically screened. A little more than half (55.08% did not cover their hair when selling and only 72(38.50% wore apron during sales of food. One hundred and sixty (86.89% sold food very close to open gutters but only 29(27.36% paid attention to the cleanliness of such gutters. An association existed between level of education and knowledge on hygiene practices among respondents but was not significant [Chi square=1.3024, p value=0.729] Also, an association existed between type of food vendor and knowledge on hygiene but not significant [Chi square=2.8331, p value=0.418]  Most food vendors in Hohoe have some fundamental knowledge on hygiene but this does not reflect in their routine practices. Periodic training and education of food vendors on hygiene and its standards can help ameliorate their practice on food hygiene.
Pseudotumor Cerebri in a Child with Idiopathic Growth Hormone Insufficiency Two Months after Initiation of Recombinant Human Growth Hormone Treatment
Venue: Case reports in ophthalmological medicine

To report a rare case of pseudotumor cerebri (PTC) in a child two months after receiving treatment with recombinant human growth hormone (rhGH) and to emphasize the need of close collaboration between ophthalmologists and pediatric endocrinologists in monitoring children receiving rhGH.  A 12 year old boy with congenital hypothyroidism started treatment with rhGH on a dose of 1,5 mg/daily IM (4.5 IU daily) Eight weeks later, he was complaining of severe headache without any other accompanying symptoms. The child was further investigated with computed tomography scan and lumbar puncture.  Computed tomography scan showed normal ventricular size and lumbar puncture revealed an elevated opening pressure of 360 mm H2O. RhGH was discontinued and acetazolamide 250 mg per os twice daily was initiated. Eight weeks later, the papilledema was resolved.  There appears to be a causal relationship between the initiation of treatment with rhGH and the development of PTC. All children receiving rhGH should have a complete ophthalmological examination if they report headache or visual disturbances shortly after the treatment. Discontinuation of rhGH and initiation of treatment with acetazolamide may be needed and regular follow up examinations by an ophthalmologist should be recommended.
Neuronal Modulation in the Prefrontal Cortex in a Transitive Inference Task: Evidence of Neuronal Correlates of Mental Schema Management
Venue: The Journal of Neuroscience

When informed that A B and B C, humans and other animals can easily conclude that A C. This remarkable trait of advanced animals, which allows them to manipulate knowledge flexibly to infer logical relations, has only recently garnered interest in mainstream neuroscience. How the brain controls these logical processes remains an unanswered question that has been merely superficially addressed in neuroimaging and lesion studies, which are unable to identify the underlying neuronal computations. We observed that the activation pattern of neurons in the prefrontal cortex (PFC) during pair comparisons in a highly demanding transitive inference task fully supports the behavioral performance of the two monkeys that we tested. Our results indicate that the PFC contributes to the construction and use of a mental schema to represent premises. This evidence provides a novel framework for understanding the function of various areas of brain in logic processes and impairments to them in degenerative, traumatic, and psychiatric pathologies.  In cognitive neuroscience, it is unknown how information that leads to inferential deductions are encoded and manipulated at the neuronal level. We addressed this question by recording single unit activity from the dorsolateral prefrontal cortex of monkeys that were performing a transitive inference (TI) task. The TI required one to choose the higher ranked of two items, based on previous, indirect experience. Our results demonstrated that single neuron activity supports the construction of an abstract, mental schema of ordered items in solving the task and that this representation is independent of the reward value that is experienced for the single items. These findings identify the neural substrates of abstract mental representations that support inferential thinking.
Modeling and Applications of Metamaterial Transmission Lines Loaded With Pairs of Coupled Complementary Split Ring Resonators (CSRRs)
Venue: IEEE Antennas and Wireless Propagation Letters

This letter is focused on the modeling, analysis, and applications of microstrip lines loaded with pairs of electrically coupled complementary split ring resonators (CSRRs) Typically, these epsilon negative (ENG) metamaterial transmission lines are implemented by loading the line with a single CSRR (etched beneath the conductor strip) in the unit cell. This provides a stopband in the vicinity of the CSRR resonance. However, by loading the line with a pair of CSRRs per unit cell, it is possible to either implement a dual band ENG transmission line (useful, for instance, as a dual band notch filter) provided the CSRRs are tuned at different frequencies, or to design microwave sensors and comparators based on symmetry disruption (in this case by using identical CSRRs and by truncating symmetry by different means, e.g. asymmetric dielectric loading) The design of these CSRR based structures requires an accurate circuit model able to describe the line, the resonators, and the different coupling mechanisms (i.e. line to resonator and inter resonator coupling) Thus, a lumped element equivalent circuit is proposed and analyzed in detail. The model is validated by comparison to electromagnetic simulations and measurements. A proof of concept of a differential sensor for dielectric characterization is proposed. Finally, the similarities of these structures with coplanar waveguide transmission lines loaded with pairs of SRRs are pointed out.
Targeted Twitter Sentiment Analysis for Brands Using Supervised Feature Engineering and the Dynamic Architecture for Artificial Neural Networks
Venue: J. Manag. Inf. Syst.

Social media communications offer valuable feedback to firms about their brands. We present a targeted approach to Twitter sentiment analysis for brands using supervised feature engineering and the dynamic architecture for artificial neural networks. The proposed approach addresses challenges associated with the unique characteristics of the Twitter language and brand related tweet sentiment class distribution. We demonstrate its effectiveness on Twitter data sets related to two distinctive brands. The supervised feature engineering for brands offers final tweet feature representations of only seven dimensions with greater feature density. Reducing the dimensionality of the representations reduces the complexity of the classification problem and feature sparsity. Two sets of experiments are conducted for each brand in three class and five class tweet sentiment classification. We examine five class classification to target the mild sentiment expressions that are of particular interest to firms and brand management practitioners. We compare the proposed approach to the performances of two state of the art Twitter sentiment analysis systems from the academic and commercial domains. The results indicate that it outperforms these state of the art systems by wide margins, with classification F1 measures as high as 88 percent and excellent recall of tweets expressing mild sentiments. Furthermore, they demonstrate the tweet feature representations, though consisting of only seven dimensions, are highly effective in capturing indicators of Twitter sentiment expression. The proposed approach and vast majority of features identified through supervised feature engineering are applicable across brands, allowing researchers and brand management practitioners to quickly generate highly effective tweet feature representations for Twitter sentiment analysis on other brands.
SDSS DR12 bulk stellar spectral classification: Artificial neural networks approach

This paper explores the application of Probabilistic Neural Network (PNN) Support Vector Machine (SVM) and K means clustering as tools for automated classification of massive stellar spectra. The data set consists of a set of stellar spectra associated with the Sloan Digital Sky Survey (SDSS) SEGUE 1 and SEGUE 2, which consists of 400,000 data from 3850 to 8900 A with 3646 data points each. We investigate the application of principal components analysis (PCA) to reducing the dimensionality of data set to 280, 400 and 700 components. We show that PNN can give fairly accurate spectral type classifications sRMS=1.752$\sigma _{\mathit{RMS}=1.752$ sRMS=1.538$\sigma_{\mathit{RMS}=1.538$ and sRMS=1.391$\sigma_{\mathit{RMS}=1.391$ and K means can classify these spectra with an accuracy of sRMS=1.812$\sigma_{\mathit{RMS}=1.812$ sRMS=1.731$\sigma_{\mathit{RMS}=1.731$ and sRMS=1.654$\sigma_{\mathit{RMS}=1.654$ and SVM with the accuracy of sRMS=1.795$\sigma_{\mathit{RMS}=1.795$ sRMS=1.674$\sigma_{\mathit{RMS}=1.674$ and sRMS=1.529$\sigma_{\mathit{RMS}=1.529$ across the 280, 400 and 700 components, respectively. By using K means the classification of the spectra renders 38 major classes. Furthermore, by comparing the results we noticed that PNN is more successful than K means and SVM in automated classification.