nils-herrmann/clean_scirepeval huggingface dataset:
Assessment of genetic diversity and phylogenetic relationships in Asparagus species related to Asparagus officinalis

Eight species of the genus Asparagus, members of the group of European species closely related to A. officinalis, were analysed using internal transcribed spacer (ITS), and expressed sequence tag-derived simple sequence repeat (EST-SSR) markers, as well as cytological observations of their hybrids, to study their phylogenetic relationships and the possibility of broadening the narrow genetic base of cultivated varieties. Phylogenetic analysis using ITS data revealed two major clades: clade I consisting of A. acutifolius and clade II (referred to in this study as the ‘officinalis group’) comprised of sequences derived from species closely related to A. officinalis; but the different species within the ‘officinalis group’ could not be clearly separated. In contrast, cluster analysis of EST-SSR marker data showed six major clades and clearly separated each population, grouping most of the genotypes from each population together. That is, EST-SSR markers were found to be more informative than ITS markers about the relationships within the ‘officinalis group’, indicating that EST-SSR markers are more useful than ITS sequences for establishing phylogenetic relationships at the intrageneric level. All the crosses carried out at the same ploidy level were successful. The high crossability, together with the regular meiotic behaviour and high pollen and seed fertility observed in the interspecific hybrids analysed, suggest relatively close relationships between the species studied. We conclude that the group of species classified in the ‘officinalis group’ are in the primary gene pool, indicating that these species could be used to increase the genetic diversity of the cultivated species. In addition, the tetraploid landrace “Morado de Huétor” could be employed as a bridge to generate new cultivated germplasm.
Bioavailability of fluticasone propionate and mometasone furoate aqueous nasal sprays

To compare the systemic exposure for intranasal mometasone furoate (MF) and fluticasone propionate (FP) aqueous nasal sprays (ANS) in terms of serum and urinary cortisol parameters and plasma pharmacokinetics. Twelve healthy subjects completed this three-way, cross-over study. They received FPANS (50 μg/spray), MFANS (50 μg/spray) or placebo ANS, eight sprays per nostril every 8 h for 4 days. Cortisol measurements were made at baseline and day 4. FP and MF plasma concentrations were also measured on day 4. MFANS produced similar mean plasma AUC (123 pmol/l h) to FPANS (112 pmol/l h). Despite the use of high doses, necessary to generate adequate pharmacokinetic data, only minor reductions in cortisol parameters were found, with no difference between FPANS and MFANS. FP and MF have similar and very low systemic bioavailability when administered intranasally using a high-dose regimen. It is therefore unlikely that therapeutic doses of intranasal FP or MF will produce dissimilar or significant degrees of systemic exposure or systemic effects.
The 12-item General Health Questionnaire (GHQ-12): translation and validation study of the Iranian version

The objective of this study was to translate and to test the reliability and validity of the 12-item General Health Questionnaire (GHQ-12) in Iran.



Using a standard 'forward-backward' translation procedure, the English language version of the questionnaire was translated into Persian (Iranian language). Then a sample of young people aged 18 to 25 years old completed the questionnaire. In addition, a short questionnaire containing demographic questions and a single measure of global quality of life was administered. To test reliability the internal consistency was assessed by Cronbach's alpha coefficient. Validity was performed using convergent validity. Finally, the factor structure of the questionnaire was extracted by performing principal component analysis using oblique factor solution.



In all 748 young people entered into the study. The mean age of respondents was 21.1 (SD = 2.1) years. Employing the recommended method of scoring (ranging from 0 to 12), the mean GHQ score was 3.7 (SD = 3.5). Reliability analysis showed satisfactory result (Cronbach's alpha coefficient = 0.87). Convergent validity indicated a significant negative correlation between the GHQ-12 and global quality of life scores as expected (r = -0.56, P < 0.0001). The principal component analysis with oblique rotation solution showed that the GHQ-12 was a measure of psychological morbidity with two-factor structure that jointly accounted for 51% of the variance.



The study findings showed that the Iranian version of the GHQ-12 has a good structural characteristic and is a reliable and valid instrument that can be used for measuring psychological well being in Iran.
A Joint QRS Detection and Data Compression Scheme for Wearable Sensors

This paper presents a novel electrocardiogram (ECG) processing technique for joint data compression and QRS detection in a wireless wearable sensor. The proposed algorithm is aimed at lowering the average complexity per task by sharing the computational load among multiple essential signal-processing tasks needed for wearable devices. The compression algorithm, which is based on an adaptive linear data prediction scheme, achieves a lossless bit compression ratio of 2.286x. The QRS detection algorithm achieves a sensitivity (Se) of 99.64% and positive prediction (+P) of 99.81% when tested with the MIT/BIH Arrhythmia database. Lower overall complexity and good performance renders the proposed technique suitable for wearable/ambulatory ECG devices.
On Physical-Layer Security in Multiuser Visible Light Communication Systems With Non-Orthogonal Multiple Access

In order to improve the security performance of multiuser visible light communication (VLC) and facilitate the secure application of optical wireless communication technology in Internet-of-Things, we investigate the physical-layer security in a multiuser VLC system with non-orthogonal multiple access (NOMA). When the light-emitting diode (LED) transmitter communicates with multiple legitimate users by downlink NOMA, both single eavesdropper and multi-eavesdropper scenarios are considered. In the presence of single eavesdropper, based on transmission characteristics of the optical wireless channel, with known instantaneous channel state information (CSI) of the NOMA legitimate channels and statistical CSI of the eavesdropper channel, an exact expression of secrecy outage probability (SOP) is derived, which acts as a benchmark of the security performance to guide selecting or optimizing parameters of the LED transmitter and the photodiode receiver of NOMA legitimate users. In the multi-eavesdropper case, based on the spatial distribution of legitimate users and eavesdroppers, the SOP is obtained via a stochastic geometry theory, so as to guide the NOMA legitimate users to keep away from the area with high eavesdropper density. For typical parameters of the indoor LED transmitter and the PD receiver, simulation results show that the SOP performance improves with the increasing of LED transmission power or transmission signal-to-noise ratio (SNR) in both scenarios. Specifically, in the single eavesdropper case, enlarging the channel condition difference of user groups or deviating the eavesdropper from the given user group can improve the SOP performance, and for a given NOMA legitimate user, the SOP eventually settles around 0.2 while the semi-angle at half illuminance of the LED varies between 15° to 60°. In the multi-eavesdropper case, we can get a better SOP performance when reducing the eavesdropper density or the semi-angle at half illuminance of the LED for a given eavesdropper density.
A 6-Port Two-Dimensional $3\times 3$ Series-Fed Planar Array Antenna for Dual-Polarized X-Band Airborne Synthetic Aperture Radar Applications

A six-port <inline-formula> <tex-math notation="LaTeX">$3\times 3$ </tex-math></inline-formula> series-fed planar antenna array design for dual polarized X-band airborne synthetic aperture radar (SAR) applications is presented in this paper. The antenna array patches interconnected with series feeding one to another as the structure to realize directional radiation and vertical/horizontal polarization. The patch elements are excited through <inline-formula> <tex-math notation="LaTeX">$50~\Omega $ </tex-math></inline-formula> microstrip line feeding in series with quarter wave transformer for good impedance characteristics. A six-port feeding allows selecting the direction of the traveling waves, and consequently the sense of linear (vertical and horizontal) polarization. A prototype of the antenna is fabricated and validated the proposed method. The dimensions of the fabricated prototype <inline-formula> <tex-math notation="LaTeX">$3\times 3$ </tex-math></inline-formula> array antenna are <inline-formula> <tex-math notation="LaTeX">$3.256\lambda \text {g} \times 3.256\lambda _{\mathrm {g}}\times 0.0645\lambda _{\mathrm {g}}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathrm {g}}$ </tex-math></inline-formula> is guided wavelength at center frequency 9.65 GHz). The measured S<sub>11</sub> < −10 dB reflection bandwidths are 1.4% at each port. Furthermore, an interport and intraport isolation S21<−25 dB was also achieved across the operation band. The measured peak gains are higher than 11.5 dBi with 90% efficiency for all individual ports/polarizations V1, V2, V3 H1, H2, and H3). In order to satisfy the different performance requirement of series-fed array antenna, such as realized gain, radiation efficiency, side lobe level, half power beam width and front to back ratio are also examined. Measured results of an antenna prototype successfully validate the concept. The proposed antenna is found suitable for dual polarized airborne SAR applications.
Tensile and Fatigue Properties of Fiber-Bragg-Grating ( FBG ) Sensors

As an innovative measurement technique, the so-called Fiber Bragg Grating (FBG) sensors are used to measure local and global strains in a growing number of application scenarios. FBGs facilitate a reliable method to sense strain over large distances and in explosive atmospheres. Currently, there is only little knowledge available concerning mechanical properties of FGBs, e.g. under quasi-static, cyclic and thermal loads. To address this issue, this work quantifies typical loads on FGB sensors in operating state and moreover aims to determine their mechanical response resulting from certain load cases.
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks

Cartoon-to-photo facial translation could be widely used in different applications, such as law enforcement and anime remaking. Nevertheless, current general-purpose imageto-image models usually produce blurry or unrelated results in this task. In this paper, we propose a Cartoon-to-Photo facial translation with Generative Adversarial Networks (CP-GAN) for inverting cartoon faces to generate photo-realistic and related face images. In order to produce convincing faces with intact facial parts, we exploit global and local discriminators to capture global facial features and three local facial regions, respectively. Moreover, we use a specific content network to capture and preserve face characteristic and identity between cartoons and photos. As a result, the proposed approach can generate convincing high-quality faces that satisfy both the characteristic and identity constraints of input cartoon faces. Compared with recent works on unpaired image-to-image translation, our proposed method is able to generate more realistic and correlative images.
An O (log2 k )-Competitive Algorithm for Metric Bipartite Matching

We consider the online metric matching problem. In this prob lem, we are given a graph with edge weights satisfying the triangl e inequality, andk vertices that are designated as the right side of the matchin g. Over time up tok requests arrive at an arbitrary subset of vertices in the gra ph and each vertex must be matched to a right side vertex immediately upon arrival. A vertex cannot be rematched to another vertex once it is matched. The goal is to minimize the total weight of the matching. We give aO(log k) competitive randomized algorithm for the problem. This improves upon the best known guarantee of O(log k) due to Meyerson, Nanavati and Poplawski . It is well known that no deterministic al gorithm can have a competitive less than 2k − 1, and that no randomized algorithm can have a competitive ratio of less than l k.
RoboCOP : A Robotic Coach for Oral Presentations • XX : 3

Rehearsing in front of a live audience is invaluable when preparing for important presentations. However, not all presenters take the opportunity to engage in such rehearsal, due to time constraints, availability of listeners who can provide constructive feedback, or public speaking anxiety. We present RoboCOP, an automated anthropomorphic robot head that acts as a coach to provide spoken feedback during presentation rehearsals at both the individual slide and overall presentation level. The robot offers conversational coaching on three key aspects of presentations: speech quality, content coverage, and audience orientation. The design of the feedback strategies was informed by findings from an exploratory study with academic professionals who were experienced in mentoring students on their presentations. In a within-subjects study comparing RoboCOP to visual feedback and spoken feedback without a robot, the robotic coach was shown to lead to significant improvement in the overall experience of presenters. Results of a second within-subjects evaluation study comparing RoboCOP with existing rehearsal practices show that our system creates a natural, interactive, and motivating rehearsal environment that leads to improved presentation quality.
Case Report of S1Q3T3 Electrocardiographic Abnormality in a Pregnant Asthmatic Patient During Acute Bronchospasm

Asthma is the most common chronic pulmonary disease during pregnancy. Several previous reports have documented reversible electrocardiographic changes during severe acute asthma attacks, including tachycardia, P pulmonale, right bundle branch block, right axis deviation, and ST segment and T wave abnormalities.  We present the case of a pregnant patient with asthma exacerbation in which acute bronchospasm caused S1Q3T3 abnormality on an electrocardiogram (ECG). The complete workup of ECG findings of S1Q3T3 was negative and correlated with bronchospasm. The S1Q3T3 electrocardiographic abnormality can be seen in acute bronchospasm in pregnant women. The other causes like pulmonary embolism, pneumothorax, acute lung disease, cor pulmonale, and left posterior fascicular block were excluded.  Asthma exacerbations are of considerable concern during pregnancy due to their adverse effect on the fetus, and optimization of asthma treatment during pregnancy is vital for achieving good outcomes. Prompt recognition of electrocardiographic abnormality and early treatment can prevent adverse perinatal outcomes.
Involvement of Flt-1 (VEGF receptor-1) in cancer and preeclampsia

We previously isolated a novel tyrosine kinase receptor, Flt-1, now known as VEGF-receptor (VEGFR)-1. The VEGF-VEGFR system plays a pivotal role in not only physiological but also pathological angiogenesis. We examined the role of Flt-1 in carcinogenesis using Flt-1-signal-deficient (Flt-1 TK-/-) mice, and found that this receptor stimulates tumor growth and metastasis most likely via macrophages, making it an important potential target in the treatment of cancer. In addition to the full-length receptor, the Flt-1 gene produces a soluble protein, sFlt-1, an endogenous VEGF-inhibitor. sFlt-1 is expressed in trophoblasts of the placenta between fetal and maternal blood vessels, suggesting it to be a barrier against extreme VEGF-signaling. Abnormally high expression of sFlt-1 occurs in most preeclampsia patients, whose main symptoms are hypertension and proteinurea. In cancer patients, strong suppression of VEGF-VEGFR by drugs induces similar side effects including hypertension. These results indicate a close relationship between abnormal VEGF-block and hypertension/proteinurea. sFlt-1 is an attractive target for the control of preeclampsia.
Prediction of Student Academic Performance using Neural Network, Linear Regression and Support Vector Regression: A Case Study

Predicting students’ academic performance is very crucial especially for higher educational institutions. This paper designed an application to assist higher education institutions to predict their students’ academic performance at an early stage before graduation and decrease students’ dropout. The performance of the students was measured based on cumulative grade point average (CGPA) at semester eight. The students’ course scores for core and non-core courses from the first semester to the sixth semester are used as predictor variables for predicting the final CGPA8 upon graduation using Neural Network (NN), Support Vector Regression(SVR), and Linear Regression (LR). The study has verified that data mining techniques can be used in predicting students’ academic performance in higher educational institutions. All the experiments gave valid results and can be used to predict graduation CGPA. However, comparisons of the experiments were done to determine which approaches perform better than others. Generally, SVR and LR methods performed better than NN. Therefore, we recommend the adoption of SVR and LR methods to predict final CGPA8, and the models can also be used to implement Student Performance Prediction System(SPPS) in a university.
Haze monitoring based on air pollution index (API) and geographic information system (GIS)

Haze has becoming a yearly occurrence in Malaysia. There exist three dimensionsto the problems associated with air pollution: public ignorance on quality of air, impact of air pollution towards health, and difficulty in obtaining information related to air pollution. This research aims to analyse and visually identify areas and associated level of air pollutant. This study applies the air pollutant index (API) data retrieved from Malaysia Department of Environment (DOE) and Geographic Information System (GIS) via Inverse Distance Weighted (IDW) interpolation methodin ArcGIS 10.1 software to enable haze monitoring visualisation. In this research, study area is narrowed to five major cities in Selangor, Malaysia.
Computer-aided maintenance management systems selection based on a fuzzy AHP approach

Computerized maintenance management systems (CMMS) are common in today’s industries. CMMS can bring a large number of benefits, which include increased productivity, reduced costs, and effective utilization of the assets in any manufacturing and service producer. The list of CMMS that are available in the market has grown very rapidly during the last years. When purchasing a system, one that suits the specific needs and objectives of the company’s maintenance operations should be preferred. Several selection methods were proposed in literature. Up to now, no article has considered ambiguity and uncertainty factors when selecting effective CMMS. In addition, CMMS selection decisions involve the simultaneous consideration of multiple criteria, including tangible and intangible factors; prioritizing these factors can be a great challenge and a complex task. Therefore, no attempt has been made to incorporate fuzziness into multicriteria decision-making in the area of CMMS selection. This work proposes a fuzzy–based methodology for comparative evaluation of a number of CMMS alternatives. The proposal is based on the well-known multicriteria decision method called Analytical Hierarchy Process (AHP) with triangular numbers. An example is given to illustrate the proposed methodology. Finally, a software prototype for implementing this method was implemented. To illustrate and validate the proposed approach and the software prototype developed some details are presented and discussed.
Acute genital injury in the prepubertal girl.

In an effort to develop guidelines for the management of acute genital injuries in prepubertal girls, we categorized 32 cases by the object that allegedly caused the injury: straddle injuries, nonpenetrating injuries, penetrating injuries, and torque injuries. Using these categories and the anatomic features of symmetry and/or hymenal transection, we determined that the most dangerous injuries were the penetrating injuries that were symmetric and transected the hymen; in this series these were all the result of sexual assault. Future studies are needed to determine if these unique injuries can be managed with less physical and psychosocial trauma to the young patient.
The expected performance curve: a new assessment measure for person authentication

ROC and DET curves are often used in the field of person authentication to assess the quality of a model or even to compare several models. We argue in this paper that this measure can be misleading as it compares performance measures that cannot be reached simultaneously by all systems. We propose instead new curves, called Expected Performance Curves (EPC). These curves enable the comparison between several systems according to a criterion, decided by the application, which is used to set thresholds according to a separate validation set. A free sofware is available to compute these curves. A real case study is used throughout the paper to illustrate it. Finally, note that while this study was done on an authentication problem, it also applies to most 2-class classification tasks.
A Novel Airbnb Matching Scheme in Shared Economy Using Confidence and Prediction Uncertainty Analysis

As a shared economy platform, Airbnb allows customers to collaborate and guides them to hosts’ rooms. Based on the records and ratings, it attaches great significance to infer users’ satisfaction with their rooms. Several essential problems arise when evaluating satisfaction and matching. Data confidence and prediction bias influence the inference performance of the satisfaction. When two users stay in one room, their joint satisfaction also deserves particular research because of the roommate effect. In this paper, a matching model is built based on the inferred satisfaction considering confidence and prediction uncertainties. The satisfaction with the confidence uncertainty is modeled using a normalized variance of the Beta distribution. The algorithms for inferring satisfaction with the prediction uncertainties are divided into two parts: a weighted matrix factorization-based algorithm for individuals and a preference similarity-based algorithm for pairs. Two matching algorithms are proposed with constraints. Finally, extensive experiments using real-world data show the effectiveness and accuracy of the proposed method.
13.56-MHz Class-E RF power amplifier using normally-on GaN HEMT

Gallium nitride high-electron mobility transistors (GaN HEMTs) have attractive properties, low on-resistances and fast switching speeds. This paper presents the characteristics of a normally-on GaN HEMT that we fabricated. Further, the circuit operation of a Class-E amplifier is analyzed. Experimental results demonstrate the excellent performance of the gate drive circuit for the normally-on GaN HEMT and the 13.56MHz radio frequency (RF) power amplifier.