nils-herrmann/clean_scirepeval huggingface dataset:
Performance Analysis of IoT Based Sensor, Big Data Processing, and Machine Learning Model for Real Time Monitoring System in Automotive Manufacturing
Venue: Sensors
Year: 2018

With the increase in the amount of data captured during the manufacturing process, monitoring systems are becoming important factors in decision making for management. Current technologies such as Internet of Things (IoT) based sensors can be considered a solution to provide efficient monitoring of the manufacturing process. In this study, a real time monitoring system that utilizes IoT based sensors, big data processing, and a hybrid prediction model is proposed. Firstly, an IoT based sensor that collects temperature, humidity, accelerometer, and gyroscope data was developed. The characteristics of IoT generated sensor data from the manufacturing process are: real time, large amounts, and unstructured type. The proposed big data processing platform utilizes Apache Kafka as a message queue, Apache Storm as a real time processing engine and MongoDB to store the sensor data from the manufacturing process. Secondly, for the proposed hybrid prediction model, Density Based Spatial Clustering of Applications with Noise (DBSCAN) based outlier detection and Random Forest classification were used to remove outlier sensor data and provide fault detection during the manufacturing process, respectively. The proposed model was evaluated and tested at an automotive manufacturing assembly line in Korea. The results showed that IoT based sensors and the proposed big data processing system are sufficiently efficient to monitor the manufacturing process. Furthermore, the proposed hybrid prediction model has better fault prediction accuracy than other models given the sensor data as input. The proposed system is expected to support management by improving decision making and will help prevent unexpected losses caused by faults during the manufacturing process.
Fair Value Exposure, Changes in Fair Value and Audit Fees: Evidence from the Australian Real Estate Industry
Year: 2020

This paper investigates the relationship between audit fees and both fair value exposure and changes in fair value of investment properties. The study is motivated by the limited and inconclusive evidence on the effect on audit fees of full fair value reporting for illiquid assets. Using hand collected data from the Australian real estate industry, we find a negative (positive) association between audit fees and fair value exposure (changes in fair value of investment properties) Our findings also indicate that the use of unobservable inputs in fair value estimates for investment properties does not significantly increase audit risk and audit fees. Further, we find that audit fees are higher for firms with fair values of investment properties estimated by external and mixed valuers compared to firms with fair values estimated by directors alone. This study enriches the audit fee literature by documenting auditors' pricing decisions in an area that involves significant estimation and valuation risks.
Breaking the von Neumann bottleneck: architecture level processing in memory technology
Venue: Sci. China Inf. Sci.
Year: 2021

The "memory wall" problem or so called von Neumann bottleneck limits the efficiency of conventional computer architectures, which move data from memory to CPU for computation; these architectures cannot meet the demands of the emerging memory intensive applications. Processing in memory (PIM) has been proposed as a promising solution to break the von Neumann bottleneck by minimizing data movement between memory hierarchies. This study focuses on prior art of architecture level DRAM PIM technologies and their implementation. The key challenges and mainstream solutions of PIM are summarized and introduced. The relative limitations of PIM simulation are discussed, as well as four conventional PIM simulators. Finally, research directions and perspectives are proposed for future development.
Green Buildings in Commercial Mortgage Backed Securities: The Effects of Leed and Energy Star Certification on Default Risk and Loan Terms
Year: 2020

We study the impact of green building on loans in the CMBS market. A hazard model shows green buildings carry 34% less default risk, all else equal. A matched sample analysis gives similar results. We attribute the effect to a loan to value channel, where risk is lowered by a green price premium. The benefit comes at least partly from the level of green achievement, not only the label itself. Loans on buildings that were green at loan origination have slightly better terms than loans on nongreen buildings. That difference is growing over time, but the effect is economically small compared to default risk.
Coup de frein sur la croissance Perspectives 2019 2021 pour l'economie mondiale et la zone euro
Year: 2019

Depuis la Grande Recession de 2009, l'economie mondiale a d'abord connu une phase de rebond en 2010 et 2011 puis a cru a un rythme annuel moyen de 3,3 entre 2012 et 2017. L'acceleration observee en 2017 avec une progression du PIB mondial de 3,5 notamment soutenue par la reprise plus tardive de la zone euro, a fait naitre l'espoir d'un rythme de croissance plus soutenu qui aurait permis de resorber les desequilibres chomage et/ou dette publique herites de la crise. Le ralentissement de l'activite observe au premier semestre 2018 et qui s'est amplifie en fin d'annee augure d'un scenario moins favorable. Les tensions commerciales, les difficiles negociations du Brexit, la baisse de croissance chinoise et l'application de nouvelles normes dans le secteur automobile ont casse la dynamique de croissance qui est revenue a 3,3 en 2018. De nombreuses enquetes conjoncturelles laissent presager la poursuite de ce mouvement en debut d'annee 2019. Certains indicateurs, plus alarmistes comme l'evolution de la courbe des taux aux Etats Unis, suggerent une probabilite de recession plus elevee1
Laser speckle contrast imaging and machine learning in application to physiological fluids flow rate recognition
Year: 2021

The laser speckle contrast imaging allows the determination of the flow motion in a sequence of images. The aim of this study is to combine the speckle contrast imaging and machine learning methods to recognition of physiological fluids flow rate. Data on the flow of intralipid with average flow rate of 0 2 mm/s in a glass capillary were obtained using a developed experimental setup. These data were used to train a feed forward artificial neural network. The accuracy of random image recognition was quite low due to pulsations and the uneven flow set by the pump. To increase the recognition accuracy, various methods for calculating speckle contrast were used. The best result was obtained when calculating the mean spatial speckle contrast. The application of the mean spatial speckle contrast imaging together with the proposed artificial neural network allowed to increase the fluid flow rate recognition accuracy from about 65 to 89 and make it possible to exclude an expert from the data processing.
MISIR KRALICESI KLEOPATRA'NIN DAGLIK KILIKIA'DAKI EGEMENLIGI
Year: 2018

Misir kralicesi Kleopatra'nin, eskicag tarihindeki onemi politik zekasidir. O, Romali yoneticileri guzelligiyle degil zekasiyla kendisine baglamistir. Nitekim kralicenin portrelerine bakildiginda o guzellik zaten gorulmez. Ayrica Kleopatra bu zekasiyla, Misir topraklarinin ve burada egemen olan Ptolemaioslarin tarih boyunca sikintisini cektigi kereste ihtiyacini da gidermistir. Cunku kereste, tapinak yapimi ve gemi yapimi icin gerekli bir orman urunuydu. Misir topraklari da orman urunleri bakimindan kitti. Kereste urunlerinin en sik oldugu bolge ise Daglik Kilikia olarak adlandirilan bolgeydi. Hellenistik donemde Ptolemaioslar Seleukoslarla, Daglik Kilikia'da uzun sure savasmislardir. Ptolemaioslar bir sure bolgeye egemen olmuslarsa da, bolgede tam olarak hakimiyet kuramamislardir. Ancak Kleopatra, zekasiyla hic savasa girmeden Daglik Kilikia'yi egemenligi altina almistir. Bu calismada, Kleopatra'nin politikasi ve Daglik Kilikia bolgesindeki egemenligi incelenecektir. Bu amac dogrultusunda antik yazarlardan ve modern kaynaklardan faydalanilacaktir.
Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan
Venue: BMJ Open
Year: 2017

Emergency department (ED) overcrowding is acknowledged as an increasingly important issue worldwide. Hospital managers are increasingly paying attention to ED crowding in order to provide higher quality medical services to patients. One of the crucial elements for a good management strategy is demand forecasting. Our study sought to construct an adequate model and to forecast monthly ED visits.  We retrospectively gathered monthly ED visits from January 2009 to December 2016 to carry out a time series autoregressive integrated moving average (ARIMA) analysis. Initial development of the model was based on past ED visits from 2009 to 2016. A best fit model was further employed to forecast the monthly data of ED visits for the next year (2016) Finally, we evaluated the predicted accuracy of the identified model with the mean absolute percentage error (MAPE) The software packages SAS/ETS V.9.4 and Office Excel 2016 were used for all statistical analyses.  A series of statistical tests showed that six models, including ARIMA (0, 0, 1) ARIMA (1, 0, 0) ARIMA (1, 0, 1) ARIMA (2, 0, 1) ARIMA (3, 0, 1) and ARIMA (5, 0, 1) were candidate models. The model that gave the minimum Akaike information criterion and Schwartz Bayesian criterion and followed the assumptions of residual independence was selected as the adequate model. Finally, a suitable ARIMA (0, 0, 1) structure, yielding a MAPE of 8.91% was identified and obtained as Visitt=7111.161+(at+0.37462 at 1)  The ARIMA (0, 0, 1) model can be considered adequate for predicting future ED visits, and its forecast results can be used to aid decision making processes.
Arbitrary Microphone Array Optimization Method Based on TDOA for Specific Localization Scenarios
Venue: Sensors
Year: 2019

Various microphone array geometries (e.g. linear, circular, square, cubic, spherical, etc. have been used to improve the positioning accuracy of sound source localization. However, whether these array structures are optimal for various specific localization scenarios is still a subject of debate. This paper addresses a microphone array optimization method for sound source localization based on TDOA (time difference of arrival) The geometric structure of the microphone array is established in parametric form. A triangulation method with TDOA was used to build the spatial sound source location model, which consists of a group of nonlinear multivariate equations. Through reasonable transformation, the nonlinear multivariate equations can be converted to a group of linear equations that can be approximately solved by the weighted least square method. Then, an optimization model based on particle swarm optimization (PSO) algorithm was constructed to optimize the geometric parameters of the microphone array under different localization scenarios combined with the spatial sound source localization model. In the optimization model, a reasonable fitness evaluation function is established which can comprehensively consider the positioning accuracy and robustness of the microphone array. In order to verify the array optimization method, two specific localization scenarios and two array optimization strategies for each localization scenario were constructed. The optimal array structure parameters were obtained through numerical iteration simulation. The localization performance of the optimal array structures obtained by the method proposed in this paper was compared with the optimal structures proposed in the literature as well as with random array structures. The simulation results show that the optimized array structure gave better positioning accuracy and robustness under both specific localization scenarios. The optimization model proposed could solve the problem of array geometric structure design based on TDOA and could achieve the customization of microphone array structures under different specific localization scenarios.
Novichoks The A group of organophosphorus chemical warfare agents.
Venue: Chemosphere
Year: 2019

Novichok use has become symbol for the chemical substances use to carry out political assassinations. In the last century, poisonous warfare agents were used for the first time on the battlefields, almost all over the world. After the World War II, new types of organophosphorus chemical warfare agents were developed. Novichoks are only ones, but the most important part of them the 4th generation of chemical warfare agents. Despite the Chemical Weapons Convention, entered into force in 1997, there is still real threat of use of chemical weapons. This weapon can be used by both states, and transnational terrorist organisations. Novichoks, A code named substances, should be permanently introduced into a number of chemical substances contained in organophosphorus chemical warfare poisonous agents. This article presents a short fourth generation nerve agents' description. Group A compounds together with G and V groups compounds are organophosphorus chemical warfare agents which are very dangerous ones. Our article is an attempt to provide answer for the question what are Novichoks? And why they should be introduced into Chemical Weapons Convention.
I'm A Jesus Girl: Coping Stories of Black American Women Diagnosed with Breast Cancer
Venue: Journal of Religion and Health
Year: 2010

Breast cancer continues to be the most diagnosed cancer for all women, excluding non melanoma skin cancer, in the United States. Incidence rates are 1 in 8 for an American woman being diagnosed. Moreover, statistics indicate that every 13 min an American woman dies from complications related to breast cancer. Despite all the gains made in the area of cancer research, Black American women continue to have a 67% higher mortality rate than their White counterparts. There is no preparation for a diagnosis of breast cancer. Upon hearing the words: you have breast cancer, a woman's life is forever altered. The woman's initial reactions of denial and/or anger yield to strategic responses. These responses may strengthen the woman's resiliency both during and following treatments. Research indicates that Black Americans, specifically Black American women, exhibit greater religiosity/spirituality than do other racial/ethnic groups. In addition, the use of religiosity/spirituality by Black Americans increases during a crisis. This qualitative study examines how religiosity/spirituality was utilized as a coping mechanism by a group of Black American women following their diagnoses of breast cancer.
Anlotinib in the treatment of advanced hepatocellular carcinoma: an open label phase II study (ALTER 0802 study)
Venue: Hepatology International
Year: 2021

This study aimed to assess efficacy and safety of anlotinib as a first or second line treatment for advanced or metastatic hepatocellular carcinoma (aHCC) and to identify the predictive plasma cytokines on efficacy of anlotinib. It was a phase II clinical study. Patients with aHCC were recruited from October 2016 to April 2019 and divided into two cohorts according to previous tyrosine kinase inhibitors (TKIs) therapy. Those without or with prior TKIs were in Cohort 1 or 2, respectively. All patients took anlotinib (12 mg/day, Day1 14, 3 weeks per cycle) The primary endpoint was 12 week progression free survival (PFS) rate. Relationship between the series plasma cytokine level and the efficacy of anlotinib was analyzed. Enrolled 26 patients in Cohort 1 and 24 in Cohort 2. In Cohort 1, the 12 week PFS rate was 80.8% [95% confidence interval (CI) 59.8% 91.5% and median time to progression (TTP) was 5.9 months (95% CI 4.8 6.9) In Cohort 2, the 12 week PFS rate and median TTP was 72.5% (95% CI 48.7% 86.6% and 4.6 months (95% CI 2.7 10.0) respectively. The median TTP on patients with a baseline plasma level of CXCL1 (C X C motif chemokine ligand 1) less than 7.6 ng/ml was significantly longer in both cohorts. The most common grade 3 5 adverse events were hypertension (8% diarrhea (8% and hand foot syndrome (6% Anlotinib showed promising efficacy and safety as a first or second line treatment with a continuous TKIs treatment strategy in aHCC. The plasma CXCL1 might be a predictor for the efficacy of anlotinib.
A Theology Of Leadership, Not Management: Trinitarian Mission And Baptismal Discipleship
Year: 2018

The understanding of leadership and or experience of leaders have permanently changed, and the key questions for today's no longer issues of task and structure but are questions of spirit. The models of leadership are connecting with mission hence the roots ministry are not in the acquisition of skills, but in a changed attitude toward others, a conversion, and a new way of looking at the world. In this perspective is presented a theology of leadership: tree theological paradigm shifts, Trinitarian Mission and baptismal discipleship.
Occupational performance and awareness of disability in mild cognitive impairment or dementia
Venue: Scandinavian journal of occupational therapy
Year: 2011

Limited awareness of disabilities is common in mild cognitive impairment and dementia. In order to get a broader base in planning interventions, it is important to consider a person's awareness of his/her disability encountered in performance. The aim of this study was to examine the relationship between occupational performance and awareness of disability in older adults with mild cognitive impairment or dementia. Thirty five older adults were evaluated with the AMPS (Assessment of Motor and Process Skills) and with the AAD (Assessment of Awareness of Disability) Many faceted Rasch models generated individual measures of ADL performance and awareness of disability. Non parametric correlation statistics were used to analyse the relationships. The findings showed that there was an overall positive relationship between occupational performance and awareness of disability. However, individual variations in the sample implied that limitations in performance were not equivalent to a limited awareness of disability. In conclusion, awareness of disability should be individually evaluated when planning interventions together with clients and their families.
What is "Systematic" about Systematic Literature Reviews?
Year: 2020

This presentation focused on defining what systematic reviews are, explaining the different types of knowledge syntheses, discussing organizations involved with systematic reviews, defining the steps involved with systematic reviews, providing a deep dive into the search and search strategy portion of a systematic review, providing info on the study selection stage of an SR, and an overview of reporting standards used within this process.Presented virtually at the 80th Annual Meeting of the Academy of Management
High frequency modulation and injection locking of terahertz quantum cascade lasers
Year: 2017

Due to intersubband transitions, the quantum cascade laser (QCL) is free of relaxations and able to work under fast modulations. In this work, the authors investigate the fast modulation properties of a continuous wave (cw) terahertz QCL emitting around 3 THz ~100 mm) Both simulation and experimental results show that the 3 dB modulation bandwidth for the device can reach 11.5 GHz and the modulation response curve is relatively flat upto ~16 GHz. The radio frequency (RF) injection measurements verify that around the laser threshold the inter mode beat note interacts strongly with the RF signal and the laser can be modulated at the round trip frequency of 15.5 GHz.
English in Medical Education: An Intercultural Approach to Teaching Language and Values
Year: 2012

Acknowledgements Foreword 1.  English in Medical Education 2.Intercultural Communicative Competence in Medical Settings 3.Task Design in Language and Medical Education 4.Exploring Medical Language 5.Medical Talk 6.Critical Cultural Awareness in Medical Education 7.Literature and Language in Medical Education 8.The Visual Arts in Medical Education 9.Course Design for Intercultural Language Education in Medical SettingsReferences
Hypersonic boundary layer transition on a 7 degree half angle cone at Mach 10
Year: 2014

Hypersonic boundary layer transition experiments are performed in the low enthalpy Longshot wind tunnel with a free stream Mach number ranging between 12 M 9.5 and Reynolds number between 12x 10 /m Reunit, 3.3x 10 /m. The model is an 800 mm long 7 half angle cone with nosetip radii between 0.2 and 10 mm. Instrumentation includes flushmounted fast response thermocouples and pressure sensors. Boundary layer transition onset location is determined from the wall heat flux distribution. Nose bluntness has a strong stabilizing effect. No transition reversal could be observed at RB 10RN for a Reynolds number based on the nosetip radius of ReRN, 123, 000. Increasing freestream unit Reynolds number results in larger RexB,e. Wavelet analysis of the boundary layer fluctuations shows that numerous wave packets are present during the transition process. Comparison with Linear Stability Theory results for second mode waves shows an excellent agreement for the most amplified frequencies. The N factor of the wind tunnel is 5 based on these computations and on the transition location measured experimentally. The convection velocity of the disturbances is closely approximated by the local boundary layer edge velocity for all conditions investigated. Schlieren flow visualization of the instabilities exhibits the typical rope shape of second mode disturbances for the sharpest nosetips. For nose bluntness larger than 4.75 mm, disturbances are mainly present at the edge of the boundary layer and within the inviscid shock layer. Their shape no longer presents the second mode typical structure although a frequency analysis of the disturbances is still compatible with second mode instabilities. Present results confirm the dominance of second mode waves in the transition process along a conical geometry for Mach numbers larger than 10.
Management of Helicobacter pylori infection the Maastricht V/Florence Consensus Report
Venue: Gut
Year: 2016

Important progress has been made in the management of Helicobacter pylori infection and in this fifth edition of the Maastricht Consensus Report, key aspects related to the clinical role of H. pylori were re evaluated in 2015. In the Maastricht V/Florence Consensus Conference, 43 experts from 24 countries examined new data related to H. pylori in five subdivided workshops: (1) Indications/Associations, (2) Diagnosis, (3) Treatment, (4) Prevention/Public Health, (5) H. pylori and the Gastric Microbiota. The results of the individual workshops were presented to a final consensus voting that included all participants. Recommendations are provided on the basis of the best available evidence and relevance to the management of H. pylori infection in the various clinical scenarios.
Death Penalty in a Nutshell
Year: 2012

This death penalty nutshell covers both the substantive and procedural law of capital cases, along with relevant history, jurisprudence and constitutional law. It addresses international issues, the complex role of defense counsel, systemic bias, and execution of the innocent. Statutory and case law, as well as all relevant data, are current as of mid 2012, providing a basis for broad exploration of academic and pragmatic issues for lawyers, law students and others interested in the worst crimes committed by the worst offenders.