nils-herrmann/clean_scirepeval huggingface dataset:
A cognitive motor intervention using a dance video game to enhance foot placement accuracy and gait under dual task conditions in older adults: a randomized controlled trial
Venue: BMC Geriatrics
Year: 2012

BackgroundComputer based interventions have demonstrated consistent positive effects on various physical abilities in older adults. This study aims to compare two training groups that achieve similar amounts of strength and balance exercise where one group receives an intervention that includes additional dance video gaming. The aim is to investigate the different effects of the training programs on physical and psychological parameters in older adults.MethodsThirty one participants (mean age SD: 86.2 4.6 years) residents of two Swiss hostels for the aged, were randomly assigned to either the dance group (n 15) or the control group (n 16) The dance group absolved a twelve week cognitive motor exercise program twice weekly that comprised progressive strength and balance training supplemented with additional dance video gaming. The control group performed only the strength and balance exercises during this period. Outcome measures were foot placement accuracy, gait performance under single and dual task conditions, and falls efficacy.ResultsAfter the intervention between group comparison revealed significant differences for gait velocity (U 26, P .041, r .45) and for single support time (U 24, P .029, r .48) during the fast walking dual task condition in favor of the dance group. No significant between group differences were observed either in the foot placement accuracy test or in falls efficacy.ConclusionsThere was a significant interaction in favor of the dance video game group for improvements in step time. Significant improved fast walking performance under dual task conditions (velocity, double support time, step length) was observed for the dance video game group only. These findings suggest that in older adults a cognitive motor intervention may result in more improved gait under dual task conditions in comparison to a traditional strength and balance exercise program.
A novel approach to remove ofloxacin antibiotic from industrial effluent using magnetic carbon nanocomposite prepared from sawdust of Dalbergia sissoo by batch and membrane hybrid technology
Year: 2019

In this research work, the removal of ofloxacin (OFL) from industrial effluents were carried out through batch and membrane hybrid process using magnetic carbon nanocomposite (MCN) prepared from waste biomass (Dalbergia sissoo sawdust) The novel adsorbent was characterized by EDX (Energy dispersive x ray) SEM (scanning electron microscopy) XRD (X ray diffraction) FTIR (Fourier transform infrared) and TG/DTA (Thermal gravimetric/Differential thermal analysis) The deposited Fe3O4 (iron oxide) on the composite surface was confirmed through XRD, SEM, and FTIR. Batch adsorption experiments were performed in order to determine the optimal condition of adsorption and effect of various experimental parameters likes pH, contact time, adsorbent dosage, initial OFL concentration and temperature on the sorption process. Langmuir, Freundlich, Temkin, Jovanovic and Harkins Jura models were used to determine different adsorption parameters. The kinetics data were analyzed using pseudo first and second order, power function, Natarajan and Khalaf, and intraparticle diffusion models. The best fit was obtained with the pseudo second order kinetic model. The value of DHo and DSo were found to be 27.948 and 110.17 kJ/mol indicating the exothermic and spontaneous nature of the process. An increase in adsorption with increase in temperature is evident from the values of DGo: 32.31, 33.41, 34.51 and 35.61 kJ/mol corresponding to 20, 30, 40, 50 and 60oC. To evaluate the effect of MCN on membrane parameters, the continuous stirred reactor was connected with UF, NF, and RO membranes. Higher retention and improved permeate flux were obtained for MCN/UF, MCN/NF, and MCN/RO processes. The percent retention of OFL observed for MCN/UF, MCN/NF, and MCN/RO hybrid processes were 57.8, 98.9 and 99.57 respectively.
Portraits of Decolonizing Praxis: How the Lives of Critically Engaged Pinay Scholars Inform Their Work
Year: 2016

There is a dearth of knowledge about educationally disadvantaged groups particularly within the Asian American/Pacific Islander (AAPI) population, as research does not adequately provide disaggregated data. As such, this study particularly focuses on the intersecting sociocultural processes and educational experiences of Filipina American (Pinay) students turned professors to understand the transformative nature of their epistemologies and its manifestations in their work as scholar activists.Moving beyond questions of race/ethnicity, this study acknowledges the American classroom as both a fragile and powerful place of becoming; where "emerging identities are being invented within a contestation of dominant discourses of [not just] race, [but also] class, gender, and sexuality." It extends from the understanding that the exclusion of particular histories, cultures, texts, and ways of knowing in the traditional university has forced the construction of new alternative spaces, wherein the production of knowledge requires creative, critical, and collective thinking towards radical transformation. Thus, through the lens of women of color theory, this work employs an intersectional framework, which sees these social categories created by colonialism as mutually constitutive across contexts.Written in the tradition of Moraga and Anzaldua's This Bridge Called My Back, this study holds conversations with six Pinay scholar activists. It pulls from memory, breaking long held silences as it boldly sutures together glimpses of personal confrontations with coloniality (Lugones, 2007; Maldonado Torres, 2007) across their lifetimes from childhood to womanhood, from within the American classroom and beyond. This critical looking inward of one's private (and often painful) formations of race, class, and gender reveals the unstable growth of a Pinay scholar activist's personal/political identity. By drawing from an assembled, unorthodox framework of decolonized feminist thought and Buddhist philosophy, this study operationalizes the methodology of embodied portraiture to capture, interpret, and illustrate the ways in which transformative moments in these scholars lives shape their work. What surfaces is a shared story of how these women of color come to inhabit their paradoxical position within empire through the experiences and practices of silence, anger, and reconciliation; as well as the creation and participation of resistant socialities; helping to extend the work of Pinayist pedagogical praxis.
Non destructive prediction of sweetness of intact mango using near infrared spectroscopy
Year: 2012

Agriculture industries are continuously in search of new user friendly technologies to evaluate the intrinsic properties of fruits before it is put in the market for the consumer. In the current study the potential of near infrared (NIR) spectroscopy in the wavelength range of 1200 2200 nm was evaluated to determine total soluble solids and pH for seven major cultivars of mangoes from seven states of India. NIR models were developed based on multiple linear regression (MLR) and partial least square (PLS) regression employing preprocessing technologies (baseline correction, smoothening, multiplicative scatter correction (MSC) and second order derivatisation) The multiple correlation coefficients for calibration and validation were found to be 0.782 and 0.762 for total soluble solids and 0.715 and 0.703 for pH respectively. The standard errors of calibration, prediction, biases and differences in them were low which indicated the NIRS potential to predict internal quality parameters (TSS and pH) of mango non destructively for both models.
Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection
Venue: MILCOM 2019 2019 IEEE Military Communications Conference (MILCOM)
Year: 2019

Anomaly detection generally involves the extraction of features from entities' or users' properties, and the design of anomaly detection models using machine learning or deep learning algorithms. However, only considering entities' property information could lead to high false positives. We posit the importance of also considering connections or relationships between entities in the detecting of anomalous behaviors and associated threat groups. Therefore, in this paper, we design a GCN (graph convolutional networks) based anomaly detection model to detect anomalous behaviors of users and malicious threat groups. The GCN model could characterize entities' properties and structural information between them into graphs. This allows the GCN based anomaly detection model to detect both anomalous behaviors of individuals and associated anomalous groups. We then evaluate the proposed model using a real world insider threat data set. The results show that the proposed model outperforms several state of art baseline methods (i.e. random forest, logistic regression, SVM, and CNN) Moreover, the proposed model can also be applied to other anomaly detection applications.
The effect of physical activity on sleep quality, well being, and affect in academic stress periods
Venue: Nature and science of sleep
Year: 2017

The stress buffering hypothesis postulates that physical activity and exercise can buffer the negative effects of (academic) stress on health. It still remains an open question whether students, who regularly engage in physical activity and exercise within their academic examination period, can successfully diminish these negative effects. Sixty four subjects participated in this study and completed a total of five surveys, with T1 at the end of the semester break (baseline) and T2 T5 being presented every Friday in the last 4 weeks of the semester (examination period) They were asked to answer questions about their activity level, sleep quality, well being and affect. Hierarchical linear models showed significant dependencies on time for all dependent measures. The expansion of the model for exercise also showed significant main effects of this predictor on well being and positive affect (PA) and negative affect. Moreover, significant interactions with time for sleep quality and PA were found. Results suggest that physical activity and exercise in the academic examination period may be able to buffer the negative effects of stress on health related outcomes. Therefore, activity levels should be maintained in times of high stress to prevent negative effects on sleep, well being and affect in students.
A Simple Model for Spatially averaged Wind Profiles Within and Above an Urban Canopy
Year: 2008

This paper deals with the modelling of the flow in the urban canopy layer. It critically reviews a well known formula for the spatially averaged wind profile, originally proposed by Cionco in 1965, and provides a new interpretation for it. This opens up a number of new applications for modelling mean wind flow over the neighbourhood scale. The model is based on a balance equation between the obstacle drag force and the local shear stress as proposed by Cionco for a vegetative canopy. The buildings within the canopy are represented as a canopy element drag formulated in terms of morphological parameters such as lf and lp (the ratios of plan area and frontal area of buildings to the lot area) These parameters can be obtained from the analysis of urban digital elevation models. The shear stress is parameterised using a mixing length approach. Spatially averaged velocity profiles for different values of building packing density corresponding to different flow regimes are obtained and analysed. The computed solutions are compared with published data from wind tunnel and water tunnel experiments over arrays of cubes. The model is used to estimate the spatially averaged velocity profile within and above neighbourhood areas of real cities by using vertical profiles of lf.
Accuracy of single crowns fabricated from ultrasound digital impressions.
Venue: Dental materials official publication of the Academy of Dental Materials
Year: 2018

This in vitro study aimed to evaluate marginal and internal fit of single crowns produced from high frequency ultrasound based digital impressions of teeth prepared with finish lines covered by porcine gingiva, in comparison with those obtained by optical scanners with uncovered finish lines.  Ten human teeth were prepared and forty zirconia crowns were fabricated from STL datasets obtained from four dental scanners (n=10) extraoral CS2 (Straumann) intraoral Lava COS (3M) intraoral Trios (3Shape) and extraoral ultrasound scanner. The accuracy of the crowns was compared evaluating marginal and internal fit by means of the replica technique with measurements in four areas; P1: occlusal surface; P2: transition between occlusal and axial surfaces; P3: middle of axial wall; and P4: marginal gap. Restoration margins were classified according to their mismatch as regular, underextended or overextended. Kruskal Wallis one way ANOVA and Mann Whitney U test were used to evaluate the differences between groups at p<0.05.  The median value of marginal gap (P4) for Ultrasound (113.87mm) differed statistically from that of CS2 (39.74mm) Lava COS (41.98mm) and Trios (42.07mm) There were no statistical differences between ultrasound and Lava COS for internal misfit (P1 P3) however there were statistical differences when compared with the other two scanners (Trios and CS2) at P1 and P2.  The ultrasound scanner was able to make digital impressions of prepared teeth through porcine gingiva (P4) however with less accuracy of fit than that of conventional optical scanners without coverage of the finish lines. Where no gingiva was available (P1 P3) the ultrasound accuracy of fit was similar to that of at least one optical scanner (Lava COS)
Turning pig manure into biochar can effectively mitigate antibiotic resistance genes as organic fertilizer.
Venue: The Science of the total environment
Year: 2019

The composting of fresh manure is an effective way to inactivate pathogens and reduce the levels of antibiotics and some antibiotic resistance genes (ARGs) prior to its application on agricultural land as organic fertilizer. However, some ARGs could still exist and even be enriched after composting. This study investigated whether converting composted pig manure into biochar could reduce the dissemination of ARGs into the soil in comparison with a compost amendment. We performed a pot experiment using pakchoi (Brassica chinensis) with two pig manure based composts and the biochar derived from composted pig manure, as organic fertilizers. The distributions of the antibiotic resistome, mobile genetic elements (MGEs) and bacterial community composition in soils during cultivation were evaluated by high throughput qPCR and Illumina sequencing. The total ARGs and MGEs abundance in the biochar treated soils were significantly lower than those in the compost amended soils during cultivation. The total ARGs abundance in the biochar amended soils was similar to that in the control soils during cultivation. Thus, the dissemination of ARGs from animal waste to the environment can be effectively mitigated by converting manure into biochar.
VARIAVEIS FISIOLOGICAS E DESEMPENHO PRODUTIVO COMO INDICADORES DE ESTRESSE TERMICO EM CAPRINOS MESTICOS BOER EM CAMARA CLIMATICA
Year: 2018

No nordeste brasileiro a caprinocultura se destaca pela rusticidade das racas e sua adaptabilidade a ambientes de temperaturas elevadas. O objetivo desta pesquisa foi avaliar os efeitos das diferentes temperaturas (25,7; 29,4 e 33,4oC) em camara climatica nas respostas fisiologicas e de desempenho em caprinos mesticos da raca Boer, utilizando se seis caprinos 3/4 Boer 1/4 SRD, com peso medio de 25+ kg. Foram coletadas as variaveis fisiologicas TR (temperatura retal) FR (frequencia respiratoria) FC (frequencia cardiaca) e TS (temperatura superficial) e tambem foram coletadas as variaveis produtivas CR (consumo de racao) CAg (consumo de agua) GP (ganho de peso) e CA (conversao alimentar) O delineamento utilizado foi o inteiramente casualizado, com tres tratamentos e seis repeticoes; os dados foram analisados por meio do SAS pela aplicacao dos procedimentos GLM e Teste de Tukey (T <0,05) para as variaveis significativas. Concluiu se que as variaveis fisiologicas apresentaram efeito diretamente proporcional a temperatura do ambiente, mostrando que os animais foram eficientes no uso de mecanismos termorreguladores para manter a homeostase. Assim como, na maior temperatura os animais consumiram menos alimento e obtiveram menos peso, observou se tambem a reducao da eficiencia de conversao dos alimentos em tecido corporal e gordura, reforcando o estado de desconforto termico com a elevacao da temperatura ambiente. Palavras chave: ambiencia, fisiologia, termorregulacao.
The relationship between childrenaEUR(tm)s masturbation behavior and their mothersaEUR(tm) temperament and character dimensions: a case control study
Year: 2017

Childhood masturbation (CM) is the self stimulation of the genitalia by a child with the intention of obtaining pleasure and is frequently associated with physical distress signs and symptoms. In this study, we aimed to examine the temperament and character traits of mothers of a clinical sample of infants and young children, who presented with the complaint of masturbation compared to a control group. Sociodemographic and clinical features of the children in the study group were also assessed.  Fifty two infants and children (36 girls and 16 boys) with a mean age of 4.4A+ 1.7 years exhibiting masturbation and their mothers were included in this study together with a control group consisting of 52 age, gender, and age of mother matched infants and children. Socio demographic data and clinical information was obtained through interviews by the researchers and the Temperament and Character Inventory (TCI) was completed by the mothers. All statistical analyses were performed using SPSS for Windows, Version 20.0.  The Total Novelty Seeking (NS) Impulsivity subscale (NS2) of Novelty Seeking, Attachment (RD3) subscale of Reward Dependence, and Transpersonal Identification (ST2) subscale of Self Transcendence scores were significantly higher in the study group; while the Total Self Directedness and Responsibility subscale of the (SD1) Self Directedness scores were significantly lower in the mothers of CM compared to control group. According to the logistic regression model, the odds of exhibiting masturbation increased in a child as the scores of Impulsiveness subscale of Novelty Seeking dimension and the Attachment subscale of Reward Dependence scores increased and the scores of Responsibility subscale of Self Directedness scores were decreased in the mothers of CM group.  The findings may indicate a relationship (as a mediator) between problematic childhood masturbation and the temperament and character traits of their mothers, but it should be further studied in large samples.
Off Line Learning with Transductive Confidence Machines: An Empirical Evaluation
Venue: MLDM
Year: 2007

The recently introduced transductive confidence machines (TCMs) framework allows to extend classifiers such that they satisfy the calibration property. This means that the error rate can be set by the user prior to classification. An analytical proof of the calibration property was given for TCMs applied in the on line learning setting. However, the nature of this learning setting restricts the applicability of TCMs. In this paper we provide strong empirical evidence that the calibration property also holds in the off line learning setting. Our results extend the range of applications in which TCMs can be applied. We may conclude that TCMs are appropriate in virtually any application domain.
Influence of atomic layer deposition Al 2 O 3 nano layer on the surface passivation of silicon solar cells
Year: 2014

A stack of Al2O3/SiNx dual layer was applied for the back side surface passivation of p type multi crystalline silicon solar cells, with laser opened line metal contacts, forming a local aluminum back surface field (local Al BSF) structure. A slight amount of Al2O3, wrapping around to the front side of the wafer during the thermal atomic layer deposition process, was found to have a negative influence on cell performance. The different process flow was found to lead to a different cell performance, because of the Al2O3 wrapping around the front surface. The best cell performance, with an absolute efficiency gain of about 0.6% compared with the normal full Al BSF structure solar cell, was achieved when the Al2O3 layer was deposited after the front surface of the wafer had been covered by a SiNx layer. We discuss the possible reasons for this phenomenon, and propose three explanations as the Ag paste, being hindered from firing through the front passivation layer, degraded the SiNx passivation effect and the Al2O3 induced an inversion effect on the front surface. Characterization methods like internal quantum efficiency and contact resistance scanning were used to assist our understanding of the underlying mechanisms.
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PAKET MENU MENGGUNAKAN ALGORITMA APRIORI DENGAN METODE MARKET BASKET ANALISIS PADA KINGS FOOD KENDARI
Year: 2019

Persaingan di dunia bisnis semakin canggih dengan kemajuan teknologi. Maka pengusaha harus mengembangkan strategi untuk meningkatkan penjualan. Pengusaha dapat menggunakan data penjualan untuk membuat keputusan. Oleh karena itu diperlukan suatu metode yang dapat menyelesaikan masalah seperti menjual barang yang kurang optimal. Salah satu teknologi yang dapat digunakan untuk mewujudkannya adalah data mining. Berdasarkan dua parameter ini, data transaksi dan menu dapat diproses menggunakan disiplin data mining untuk mendapatkan informasi seperti rekomendasi paket menu. Teknik data mining adalah aturan asosiasi dengan algoritma apriori, untuk mengetahui pembelian produk seperti itu biasanya dilakukan oleh pelanggan. Setelah mengetahui pola pembelian konsumen, kita bisa mengatur strategi penjualan seperti membuat paket pembelian. Hasil yang diperoleh dari perhitungan metode apriori dengan analisis bola basket pasar, barang yang sering dibeli adalah, Bakso Ikan, Bakso Ikan Goreng, Pempek Palembang dengan dukungan 2,371541502% dan kepercayaan 40% Kata kunci: Algoritma Apriori, Analisis Keranjang Pasar, Rule Association, Paket Menu.