nils-herrmann/clean_scirepeval huggingface dataset:
Google vs. the Library: Student Preferences and Perceptions When Doing Research Using Google and a Federated Search Tool

Federated searching was once touted as the library world’s answer to Google, but ten years since federated searching technology’s inception, how does it actually compare? This study focuses on undergraduate student preferences and perceptions when doing research using both Google and a federated search tool. Students were asked about their preferences using each search tool and the perceived relevance of the sources they found using each search tool. Students were also asked to self-assess their online searching skills. The findings show that students believe they possess strong searching skills, are able to find relevant sources using both search tools, but actually prefer the federated search tool to Google for doing research. Thus, despite federated searching’s limitations, students see the need for it, libraries should continue to offer federated search (especially if a discovery search tool is not available), and librarians should focus on teaching students how to use federated search and Google more effectively.
Helix cable-Detecting robot for cable-stayed Bridge: Design and Analysis

In contrast to common smooth cables, helix cables possess a spiral circular salient with a diameter ranging from 6 to 10mm on their surface. Helix cables can effectively inhibit the windand raininduced vibrations of cables and are thus commonly used on newly built bridges. In this study, a helix cable-detecting robot is proposed to inspect the inner broken wire condition of helix cables. This robot consists of a driving trolley, as well as upper and lower supporting links. The driving trolley and supporting links were connected by fixed joints and are mounted opposite to each other along the cable. To ensure that the body of the robot is not in contact with the cable surface, a magnetic absorption unit was designed in the driving trolley. A climbing unit was placed on the body of the robot which can enable the trolley to rotate arbitrarily to adapt its water conductivity lines on cables with different screw pitches. A centrifugal speed regulation method was also proposed to ensure the safe return of the robot to the ground. Theoretical analysis and experimental results suggest that the mechanism could carry a payload of 1.5 kg and climb steadily along the helix cable at an inclined angle ranging from 30◦ to 85◦. The load-carrying ability satisfied the requirement to carry sensors or instruments such as cameras to inspect the cable.
A novel technique for isolating orchid mycorrhizal fungi

We describe a technique for isolating mycorrhizal fungi from roots of orchids. This technique involves selection and treatment of roots, preparation of pelotons, treatment of pelotons, culture of pelotons so that fungal hyphae grow out and strain purification. The technique is considered better because 1) problems of fungal and bacterial contamination are resolved, 2) endophytic bacteria are suppressed and also used to promote hyphal growth from the pelotons, 3) live and dead pelotons, and those from which fungi are culturable or unculturable can easily be identified, providing increased isolation efficiency, 4) a single taxon can be isolated from a single peloton containing several mycorrhizal taxa, 5) slow-growing mycorrhizal taxa can easily be isolated. The implications and potential use of this technique in future studies is discussed.
Combining 2G and 3G (4G) BTS outputs sharing the same frequency band

This work faces the problem of combining the outputs of two co-siting BTS, one operating with 2G networks and the other with 3G (or 4G) networks. This requirement is becoming more and more frequent because many operators, for increasing the capacity for data and voice signal transmission, have overlaid the new network in 3G or 4G technology to the existing 2G infrastructure. The solution here proposed is constituted by a low loss combiner realized through a directional double single-sided filtering system, which manages both TX and RX signals from each BTS output. The design approach for the combiner architecture is described with a particular emphasis on the synthesis of the double single-sided filters (realized by means of extracted pole technique). A prototype of the low-loss combiner has been designed and fabricated for validating the proposed approach. The results obtained are here discussed making into evidence the pros & cons of the proposed solution.
Optimal Microgrid Control and Power-Flow Study With Different Bidding Policies by Using PowerWorld Simulator

For a microgrid (MG) to participate in a real-time and demand-side bidding market, high-level control strategies aiming at optimizing the operation of the MG are necessary. One of the difficulties for research of a competitive MG power market is the absence of efficient computational tools. Although many commercial power system simulators are available, these power system simulators are usually not directly applicable to solve the optimal power dispatch problem for an MG power market and to perform MG power-flow study. This paper analyzes the typical MG market policies and investigates how these policies can be converted in such a way that one can use commercial power system software for MG power market study. The paper also develops a mechanism suitable for the power-flow study of an MG containing inverter-interfaced distributed energy sources. The extensive simulation analyses are conducted for grid-tied and islanded operations of a benchmark MG network.
Removal Attacks on Logic Locking and Camouflaging Techniques

With the adoption of a globalized and distributed IC design flow, IP piracy, reverse engineering, and counterfeiting threats are becoming more prevalent. Logic obfuscation techniques including logic locking and IC camouflaging have been developed to address these emergent challenges. A major challenge for logic locking and camouflaging techniques is to resist Boolean satisfiability (SAT) based attacks that can circumvent state-of-the-art solutions within minutes. Over the past year, multiple SAT attack resilient solutions such as Anti-SAT and AND-tree insertion (ATI) have been presented. In this paper, we perform a security analysis of these countermeasures and show that they leave structural traces behind in their attempts to thwart the SAT attack. We present three attacks, namely “signal probability skew” (SPS) attack, “AppSAT guided removal (AGR) attack, and “sensitization guided SAT” (SGS) attack”, that can break Anti-SAT and ATI, within minutes.
Performance optimization of Hadoop cluster using linux services

It enables the processing and distributed storage of big data sets using commodity cluster computing. With Hadoop occupying a core status in the current processing era, its performance optimization is also being heavily studied. This paper introduces one such method to improve Hadoop cluster performance by using a Remote Procedure Call (RPC), rpcbind service of the Linux system. The comparison is done by executing multiple Hadoop benchmarks on a configured multi-node Hadoop cluster. The final outcome turns in rpcbind favor depicting how the service improves the cluster performance by reducing the elapsed time of the benchmark executed.
cial Effects of Probiotics , Prebiotics , Synbiotics , and Psychobiotics in In fl ammatory Bowel Disease

Inflammatory bowel disease (IBD) is a group of diseases characterized by inflammation of the small and large intestine and primarily includes ulcerative colitis and Crohn’s disease. Although the etiology of IBD is not fully understood, it is believed to result from the interaction of genetic, immunological, and environmental factors, including gut microbiota. Recent studies have shown a correlation between changes in the composition of the intestinal microbiota and IBD. Moreover, it has been suggested that probiotics and prebiotics influence the balance of beneficial and detrimental bacterial species, and thereby determine homeostasis versus inflammatory conditions. In this review, we focus on recent advances in the understanding of the role of prebiotics, probiotics, and synbiotics in functions of the gastrointestinal tract and the induction and maintenance of IBD remission. We also discuss the role of psychobiotics, which constitute a novel class of psychotropic agents that affect the central nervous system by influencing gut microbiota.
Clinical anatomy of the elbow and shoulder.

The elbow patients herein discussed feature common soft tissue conditions such as tennis elbow, golfers' elbow and olecranon bursitis. Relevant anatomical structures for these conditions can easily be identified and demonstrated by cross examination by instructors and participants. Patients usually present rotator cuff tendinopathy, frozen shoulder, axillary neuropathy and suprascapular neuropathy. The structures involved in tendinopathy and frozen shoulder can be easily identified and demonstrated under normal conditions. The axillary and the suprascapular nerves have surface landmarks but cannot be palpated. In neuropathy however, physical findings in both neuropathies are pathognomonic and will be discussed.
FP-Tree Based Algorithms Analysis: FP- Growth, COFI-Tree and CT-PRO

Mining frequent itemsets from the large transactional database is a very critical and important task. Many algorithms have been proposed from past many years, But FP-tree like algorithms are considered as very effective algorithms for efficiently mine frequent item sets. These algorithms considered as efficient because of their compact structure and also for less generation of candidates itemsets compare to Apriori and Apriori like algorithms. Therefore this paper aims to presents a basic Concepts of some of the algorithms (FP-Growth, COFI-Tree, CT-PRO) based upon the FPTree like structure for mining the frequent item sets along with their capabilities and comparisons.
Mother’s knowledge and practice of breastfeeding and complementary feeding in Enugu State, Nigeria

This study assessed the breastfeeding knowledge and complementary feeding knowledge as well as their practices among mothers in Enugu state, Nigeria. A multi-stage sampling technique was used to select 419 mothers with children between 6-24months from 9 randomly selected communities. A semistructured interviewer administered questionnaire which included socio-demographic characteristics, 8-point knowledge scale and 5-point practice scale of both breastfeeding and complementary feeding. The data collected was analyzed using SPSS version 20.0 and presented using descriptive and inferential statistics. The mean age of the respondents was 28.4±6 years and 67% had secondary school education. The knowledge of the respondents indicated that 66.6% were aware of breastfeeding initiation within one hour of birth, 44.5% reported the introduction of water and herbal drinks while 62.8% agreed that breastfeeding should be continued until the child is 24months. Seven out of every 10 agreed with the commencement of complementary feeding at 6 month and also agreed that local foods should be used as the main complementary foods for the infants. Nearly all the responded were in agreement with the inclusion of foods such as staples, legumes as well as eggs and other animal protein as the main complementary diet to the infants from 6 months up until 24months. The feeding practice revealed that only 14.5% of the mothers introduced breastmilk within 1 hour of birth and 75% had introduced prelacteal feeds. Exclusive breastfeeding was practiced by 24.3% and a quarter of the respondents reported to have been discouraged on the practice of EBF. In all, 68.7% of the respondents had good knowledge towards infant feeding while the eventual practice of the mothers revealed that only 22.4% had adequate practice of infant feeding. No significant association was found between knowledge of mothers and infant feeding practice. This study found suboptimal breastfeeding and complementary feeding despite their high level of adequate knowledge. There is the need to further explore the factors responsible for suboptimum feeding practice of mothers.
Peptide-functionalized nanoparticles for selective targeting of pancreatic tumor.

Chemotherapy for pancreatic cancer is hampered by the tumor's physio-pathological complexity. Here we show a targeted nanomedicine using a new ligand, the CKAAKN peptide, which had been identified by phage display, as an efficient homing device within the pancreatic pathological microenvironment. Taking advantage of the squalenoylation platform, the CKAAKN peptide was conjugated to squalene (SQCKAAKN) and then co-nanoprecipitated with the squalenoyl prodrug of gemcitabine (SQdFdC) giving near monodisperse nanoparticles (NPs) for safe intravenous injection. By interacting with a novel target pathway, the Wnt-2, the CKAAKN functionalization enabled nanoparticles: (i) to specifically interact with both tumor cells and angiogenic vessels and (ii) to simultaneously promote pericyte coverage, thus leading to the normalization of the vasculature likely improving the tumor accessibility for therapy. All together, this approach represents a unique targeted nanoparticle design with remarkable selectivity towards pancreatic cancer and multiple mechanisms of action.
A Design Approach for Collaboration Processes: A Multimethod Design Science Study in Collaboration Engineering

Engineering is an approach for the design and deployment of repeatable collaboration processes that can be executed by practitioners without the support of collaboration professionals such as facilitators. A critical challenge in Collaboration Engineering concerns how the design activities have to be executed and which design choices have to be made to create a process design. We report on a four year design science study, in which we developed a design approach for Collaboration Engineering that
Shape and Source from Shading

Well-known met hods for solving the shape-from-shading problem require knowledge of the reflectance map. Here we show how the shape-from-shading problem can be solved when the reflectance map is not available, but is known to have a given form with some unknown parameters. This happens, for example, when the surface is known to be Lambertian, but the direction to the light source is not known. We give an iterative algorithm which alternately estimate* the surface shape and the light source direction. Use of the unit normal in parameterizing the reflectance map, rather than the gradient or stereographic coordinates, simplifies the analysis. Our approach also leads to an iterative scheme for computing shape from shading that adjusts the current estimates of the local normals toward or away from the direction of the light source. The amount of adjustment is proportional to the current difference between the predicted and the observed brightness. We also develop generalizations to less constrained forms of reflectance maps.
Fairy Tale Corpus Organization Using Latent Semantic Mapping and an Item-to-item Top-n Recommendation Algorithm

In this paper we present a fairy tale corpus that was semantically organized and tagged. The proposed method uses latent semantic mapping to represent the stories and a top-n item-to-item recommendation algorithm to define clusters of similar stories. Each story can be placed in more than one cluster and stories in the same cluster are related to the same concepts. The results were manually evaluated regarding the groupings as perceived by human judges. The evaluation resulted in a precision of 0.81, a recall of 0.69, and an f-measure of 0.75 when using tf*idf for word frequency. Our method is topicand language-independent, and, contrary to traditional clustering methods, automatically defines the number of clusters based on the set of documents. This method can be used as a setup for traditional clustering or classification. The resulting corpus will be used for recommendation purposes, although it can also be used for emotion extraction, semantic role extraction, meaning extraction, text classification, among others.
The comparison of automated urine analyzers with manual microscopic examination for urinalysis automated urine analyzers and manual urinalysis

Urinalysis is one of the most commonly performed tests in the clinical laboratory. However, manual microscopic sediment examination is labor-intensive, time-consuming, and lacks standardization in high-volume laboratories. In this study, the concordance of analyses between manual microscopic examination and two different automatic urine sediment analyzers has been evaluated.



209 urine samples were analyzed by the Iris iQ200 ELITE (İris Diagnostics, USA), Dirui FUS-200 (DIRUI Industrial Co., China) automatic urine sediment analyzers and by manual microscopic examination. The degree of concordance (Kappa coefficient) and the rates within the same grading were evaluated.



For erythrocytes, leukocytes, epithelial cells, bacteria, crystals and yeasts, the degree of concordance between the two instruments was better than the degree of concordance between the manual microscopic method and the individual devices. There was no concordance between all methods for casts.



The results from the automated analyzers for erythrocytes, leukocytes and epithelial cells were similar to the result of microscopic examination. However, in order to avoid any error or uncertainty, some images (particularly: dysmorphic cells, bacteria, yeasts, casts and crystals) have to be analyzed by manual microscopic examination by trained staff. Therefore, the software programs which are used in automatic urine sediment analysers need further development to recognize urinary shaped elements more accurately. Automated systems are important in terms of time saving and standardization.
Teacher Efficacy : Its Meaning and Measure

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An advanced data driven model for residential electric vehicle charging demand

As the electric vehicle (EV) is becoming a significant component of the loads, an accurate and valid model for the EV charging demand is the key to enable accurate load forecasting, demand respond, system planning, and several other important applications. We propose a data driven queuing model for residential EV charging demand by performing big data analytics on smart meter measurements. The data driven model captures the non-homogeneity and periodicity of the residential EV charging behavior through a self-service queue with a periodic and non-homogeneous Poisson arrival rate, an empirical distribution for charging duration and a finite calling population. Upon parameter estimation, we further validate the model by comparing the simulated data series with real measurements. The hypothesis test shows the proposed model accurately captures the charging behavior. We further acquire the long-run average steady state probabilities and simultaneous rate of the EV charging demand through simulation output analysis.
Multilayered Omics-Based Analysis of a Head and Neck Cancer Model of Cisplatin Resistance Reveals Intratumoral Heterogeneity and Treatment-Induced Clonal Selection.

Platinum-based drugs, in particular cisplatin (cis-diamminedichloridoplatinum(II), CDDP), are used for treatment of squamous cell carcinoma of the head and neck (SCCHN). Despite initial responses, CDDP treatment often results in chemoresistance, leading to therapeutic failure. The role of primary resistance at subclonal level and treatment-induced clonal selection in the development of CDDP resistance remains unknown. By applying targeted next-generation sequencing, fluorescence in situ hybridization, microarray-based transcriptome, and mass spectrometry-based phosphoproteome analysis to the CDDP-sensitive SCCHN cell line FaDu, a CDDP-resistant subline, and single-cell derived subclones, the molecular basis of CDDP resistance was elucidated. The causal relationship between molecular features and resistant phenotypes was determined by siRNA-based gene silencing. The clinical relevance of molecular findings was validated in patients with SCCHN with recurrence after CDDP-based chemoradiation and the TCGA SCCHN dataset. Evidence of primary resistance at clonal level and clonal selection by long-term CDDP treatment was established in the FaDu model. Resistance was associated with aneuploidy of chromosome 17, increased TP53 copy-numbers and overexpression of the gain-of-function (GOF) mutant variant p53R248L siRNA-mediated knockdown established a causal relationship between mutant p53R248L and CDDP resistance. Resistant clones were also characterized by increased activity of the PI3K-AKT-mTOR pathway. The poor prognostic value of GOF TP53 variants and mTOR pathway upregulation was confirmed in the TCGA SCCHN cohort. Our study demonstrates a link of intratumoral heterogeneity and clonal evolution as important mechanisms of drug resistance in SCCHN and establishes mutant GOF TP53 variants and the PI3K/mTOR pathway as molecular targets for treatment optimization.
Opinion Mining and Summarization of Hotel Reviews

Everyday many users purchases product, book travel tickets, buy goods and services through web. Users also share their views about product, hotel, news, and topic on web in the form of reviews, blogs, comments etc. Many users read review information given on web to take decisions such as buying products, watching movie, going to restaurant etc. Reviews contain user's opinion about product, event or topic. It is difficult for web users to read and understand contents from large number of reviews. Important and useful information can be extracted from reviews through opinion mining and summarization process. We presented machine learning and Senti Word Net based method for opinion mining from hotel reviews and sentence relevance score based method for opinion summarization of hotel reviews. We obtained about 87% of accuracy of hotel review classification as positive or negative review by machine learning method. The classified and summarized hotel review information helps web users to understand review contents easily in a short time.
Pornography headache

The headache associated with intercourse or masturbatory activity is a well-recognized clinical entity but pornography headache is barely mentioned. We report a young man who suffered preorgasmic headache pertaining only to pornography of specific erotic contents but not to other sexual or nonsexual act. An antecedent activation of sexual arousal and vasoconstriction during pain were found. Finally, oral indomethacin favorably prevented the pain. Therefore, pornography headache is a distinguished headache disorder distinct from other sexual-related headache disorders. Sexual arousal-mediated cerebrovascular dysregulation consequence to visuoneural uncoupling in response to erotic stimulus is proposed. Pornography headache may be underestimated in population as pain-killer overuse may mask the actual incidence in real world.