nils-herrmann/clean_scirepeval huggingface dataset:
Total bile acid to platelet ratio
Venue: Medicine
Year: 2020

The aim of the study was to develop a new early noninvasive diagnostic model for primary biliary cholangitis (PBC) A total of 118 PBC patients who had undergone a liver biopsy were enrolled in the study, and were randomized into a model group (78 patients) and a validation group (40 patients) The patients' histological stages were based on the classifications of the Scheuer's stage. All common parameters and liver pathological results were analyzed. And total bile acid to platelet ratio, aspartate aminotransferase to platelet ratio index, fibrosis index based on 4 factors and red cell distribution width to platelet ratio were calculated. There were 106 (89.8% women and 12 men in this study, and the number of patients in Scheuer stage I, II, III, and IV hepatic fibrosis was 52 (44.1% 36 (30.5% 26 (22.0% and 4 (3.4% respectively. The areas under the receiver operating characteristic curves of the total bile acid to platelet ratio (TPR) the aspartate aminotransferase to platelet ratio index, the fibrosis index based on 4 factors and the red cell distribution width to platelet ratio for predicting advanced liver fibrosis were 0.771, 0.715, 0.618, and 0.517 respectively. The areas under the receiver operating characteristic curves of the TPR was higher than other non invasive serological models. As a simple, inexpensive and easily accessible non invasive liver fibrosis diagnostic model, the TPR may be a new noninvasive marker for predicting histologic severity of PBC.
In Money We Trust? The Use of Financial Compensations to Repair Trust in the Aftermath of Distributive Harm
Year: 2011

Trust is vital yet vulnerable in economic exchange relations. In these relations, a widely used strategy in response to distributive harm consists of having the transgressor pay a financial compensation to the victim. This research examines whether financial compensations can increase trust towards a transgressor, and whether the size of the compensation is relevant to this process. We hypothesized and found that whether larger compensations will elicit more trust, depends on how clear the perpetrator's intention to transgress was. Experiment 1 revealed that trust perceptions increased more by a slight overcompensation of the inflicted harm as compared to an exact or a partial compensation, but not if the transgressor's bad intentions became clear through the use of deception in the violation. In Experiments 2 and 3, we replicated these findings and further showed that it is not the use of deception per se, but rather the attribution of bad intent that moderates the effect of compensation size. Experiment 4, using a trust game paradigm revealed that this effect not only occurs for small overcompensations, but also for larger overcompensations.
GENERALIZED HAKE'S PROPERTY FOR A KURZWEIL HENSTOCK TYPE INTEGRAL
Year: 2012

c a b c f If f is integrable on [a,b] in the improper Lebesgue sense, then f is Kurzweil Henstock integrable on [a,b] and the values of the integrals coincide. The general idea of computing the improper integral as a limit of integral over increasing families {Aa} of sets can be realized in the multidimensional case in several different ways depending on the type of integral and on what family {Aa} is chosen to generalize the compact intervals of the above onedimensional construction. It would be most natural to replace onedimensional intervals by n dimensional ones; that is, to define improper integral in R n as Unfortunately, with this definition of the improper integral in R n the statement is no longer true in n dimensional case with n>1 (see  Another way to define the improper integral in R n predicates the use of the family {A a of domains so wide (in particular arbitrary Jordan measurable sets) that the resulting integrals turns out to be absolutely convergent and, therefore, not a generalization of the one dimensional improper integral (see  With such a definition, the corresponding version of will of course be true, but will be a theorem about absolute integrals and will not, therefore, be a generalization of which is about non absolute integrals. Thus, in this case the concept of an improper integral does not lead to anything new as compared with Lebesgue integral. So the family of n dimensional compact intervals is too small and the family of all Jordan measurable sets is too large to obtain an integral for which a proper generalization of holds. So the problem is to find a suitable class of increasing families {Aa} for computing integral keeping the Hake property for multidimensional nonabsolute integral. These classes are different for Kurzweil Henstock type integrals defined by different derivation basis. This fact gives rise to various type of Hake theorem. Some version of it for certain Kurzweil Henstock type integrals in R n was studied in   and [6] n n n n c a c a c a b b c c
Numerical simulation of nanofluid turbulent flow in a double pipe heat exchanger equipped with circular fins
Venue: Journal of Thermal Analysis and Calorimetry
Year: 2020

In this study, the thermal and flow characteristics of a nanofluid were evaluated numerically in a circular finned double pipe heat exchanger. A 3D CFD model was employed to study the effects of nanofluid properties and fin configuration on the friction coefficient, Nu number and thermal performance. The effects of Al 2 O 3 nanoparticles at the volume concentration of 1 2% were considered for both Newtonian and non Newtonian turbulent flow in the annulus side with an insulated outer surface and constant heat flux inner tube. A numerical analysis is conducted for different values of Re numbers of 5000 100,000, fin heights (1, 2 and 3 mm) and fin pitches (80, 160 and 320 mm) The results showed that the use of circular fin increases the heat transfer 36% and 30% for Newtonian and non Newtonian nanofluid, respectively. The Nu number was increased by enhancing Al 2 O 3 volume concentration and Re number. A thermal performance evaluation was carried out to study the conflict between heat transfer and pressure drop. Although the simultaneous use of the fins and nanoparticles improves the thermal behavior of Newtonian fluid but decreases the thermal performance for non Newtonian fluid due to a penalty in pressure drop. Therefore, in this research adding nanoparticles to non Newtonian fluid is suggested without any inserts in the annulus.
Clinical prediction model for acute inpatient complications after traumatic cervical spinal cord injury: a subanalysis from the Surgical Timing in Acute Spinal Cord Injury Study.
Venue: Journal of neurosurgery. Spine
Year: 2012

OBJECT While the majority of existing reports focus on complications sustained during the chronic stages after traumatic spinal cord injury (SCI) the objective in the current study was to characterize and quantify acute inpatient complications. In addition, the authors sought to create a prediction model using clinical variables documented at hospital admission to predict acute complication development.  Analyses were based on data from the Surgical Timing in Acute Spinal Cord Injury Study (STASCIS) data registry, which contains prospective information on adult patients with cervical SCIs who were enrolled at 6 North American centers over a 7 year period. All patients who underwent a standardized American Spinal Injury Association (ASIA) neurological examination within 24 hours of injury and whose follow up information was available at the acute hospital discharge were included in the study. For purposes of classification, complications were divided into 5 major categories: 1) cardiopulmonary, 2) surgical, 3) thrombotic, 4) infectious, and 5) decubitus ulcer development. Univariate statistical analyses were performed to determine the relationship between complication occurrence and individual demographic, injury, and treatment variables. Multivariate logistic regression was subsequently performed to create a complication prediction model. Model discrimination was judged according to the area under the receiver operating characteristic curve.  Complete complication information was available for 411 patients at the acute care discharge. One hundred sixty patients (38.9% experienced 240 complications. The mean age among those who experienced at least one complication was 45.9 years, as compared with 43.5 years among those who did not have a complication (p 0.18) In the univariate analysis, patients with complications were less likely to receive steroids at admission (p 0.01) had a greater severity of neurological injury as indicated by the ASIA Impairment Scale (AIS) grade at presentation (p 0.01) and a higher frequency of significant comorbidity (p 0.04) In a multivariate logistic regression model, a severe initial AIS grade (p 0.01) a high energy injury mechanism (p 0.07) an older age (p 0.05) the absence of steroid administration (p 0.02) and the presence of comorbid illness (p 0.02) were associated with a greater likelihood of complication development during the period of acute hospitalization. The area under the curve value for the full model was 0.75, indicating acceptable predictive discrimination.  These results will help clinicians to identify patients with cervical SCIs at greatest risk for complication development and thus allowing for the institution of aggressive complication prevention measures.
Multi Antenna Transmission With Artificial Noise Against Randomly Distributed Eavesdroppers
Venue: IEEE Transactions on Communications
Year: 2015

In this paper, we study the secure multi antenna transmission with artificial noise (AN) under slow fading channels coexisting with randomly located eavesdroppers. We provide a comprehensive secrecy performance analysis and system design/optimization under a stochastic geometry framework. Specifically, we first evaluate the secrecy outage performance, and derive a closed form expression for the optimal power allocation ratio of the information signal power to the total transmit power that minimizes the secrecy outage probability (SOP) Subject to a SOP constraint, we then propose a dynamic parameter transmission scheme (DPTS) and a static parameter transmission scheme (SPTS) to maximize secrecy throughput, and provide explicit solutions on the optimal transmission parameters, including the wiretap code rates, the on off transmission threshold and the power allocation ratio. Our results give new insight into secure transmission designs. For example, secrecy rate is a concave function of the power allocation ratio in DPTS, and AN plays a significant role under SOP constraints and in dense eavesdropper scenarios. In SPTS, transmission probability is a concave function of the power allocation ratio, and secrecy throughput is a quasi concave function of the secrecy rate. Numerical results are demonstrated to validate our theoretical analysis.
Student Led IEP Meetings: Planning and Implementation Strategies
Year: 2007

Although self determination in general and student led IEPs in particular have received attention nationally, the extent to which students are leading their IEP meetings remains uncertain, and the rhetoric does not seem to match the reality for the majority of students with disabilities and their IEP meetings. Self determined educators are needed to translate the rhetoric into action. In this article, the advantages of student led IEPs are discussed, obstacles to implementation are examined and answered, and specific teacher friendly and teacher tested activities are suggested to challenge readers to implement a student led IEP program in their schools within one year.
A novel compensation pixel circuit for high bits of AM mini/micro LED based on PWM method
Year: 2021

The work presents a novel pixel circuit which breaks the constraint that the PWM driving method combined with internal compensating is unable to achieve a high bit display. By adding another TFT to transform the equal division of PWM to unequally divided subfields, the bit of a 240 Hz 10 row panel is improved from 3 bits to 8 bits, which is a great breakthrough for bits improving in the fields of PWM driving and internal compensating. Furthermore, simulation results of the original 6T1C circuit and revised 7T1C circuit demonstrate that the current error ratio is almost the same, indicating that this revising 7T1C circuit is suitable for bits improving without sacrificing the circuit margin.
Deep Learning for identifying radiogenomic associations in breast cancer
Venue: Comput. Biol. Medicine
Year: 2019

To determine whether deep learning models can distinguish between breast cancer molecular subtypes based on dynamic contrast enhanced magnetic resonance imaging (DCE MRI)  In this institutional review board approved single center study, we analyzed DCE MR images of 270 patients at our institution. Lesions of interest were identified by radiologists. The task was to automatically determine whether the tumor is of the Luminal A subtype or of another subtype based on the MR image patches representing the tumor. Three different deep learning approaches were used to classify the tumor according to their molecular subtypes: learning from scratch where only tumor patches were used for training, transfer learning where networks pre trained on natural images were fine tuned using tumor patches, and off the shelf deep features where the features extracted by neural networks trained on natural images were used for classification with a support vector machine. Network architectures utilized in our experiments were GoogleNet, VGG, and CIFAR. We used 10 fold crossvalidation method for validation and area under the receiver operating characteristic (AUC) as the measure of performance.  The best AUC performance for distinguishing molecular subtypes was 0.65 (95% CI:[0.57,0.71] and was achieved by the off the shelf deep features approach. The highest AUC performance for training from scratch was 0.58 (95% CI:[0.51,0.64] and the best AUC performance for transfer learning was 0.60 (95% CI:[0.52,0.65] respectively. For the off the shelf approach, the features extracted from the fully connected layer performed the best.  Deep learning may play a role in discovering radiogenomic associations in breast cancer.
Sports Economics Uncut by Brian Goff. E Elgar 2018
Year: 2019

The sports economics are expanding and with high potential future growth in the type of consumers interests. Thus, as researchers, our interest in sports economics, the economics of sport and sport as economics have also been increasing. There has been more research that addresses the relation of the sports economy to the socio economic development of any community. Therefore, sports economics is an area where we can realise resilience, inspiration and youth economies where our focus have been on in the last few years (Buheji, 2018a, 2018b. 2018c, 2016) The work of Goff (2018) open lots of discussions about sports economics and how to increase the returns out of this blend of sport fantasy relation. The reviewed 'Sports Economics Uncut' can be considered a textbook of a mix of short stories, observations, reflections supported with some macro statistics.
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Venue: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2020

Recent advances in 3D sensing have created unique challenges for computer vision. One fundamental challenge is finding a good representation for 3D sensor data. Most popular representations (such as PointNet) are proposed in the context of processing truly 3D data (e.g. points sampled from mesh models) ignoring the fact that 3D sensored data such as a LiDAR sweep is in fact 2.5D. We argue that representing 2.5D data as collections of (x,y,z) points fundamentally destroys hidden information about freespace. In this paper, we demonstrate such knowledge can be efficiently recovered through 3D raycasting and readily incorporated into batch based gradient learning. We describe a simple approach to augmenting voxel based networks with visibility: we add a voxelized visibility map as an additional input stream. In addition, we show that visibility can be combined with two crucial modifications common to state of the art 3D detectors: synthetic data augmentation of virtual objects and temporal aggregation of LiDAR sweeps over multiple time frames. On the NuScenes 3D detection benchmark, we show that, by adding an additional stream for visibility input, we can significantly improve the overall detection accuracy of a state of the art 3D detector.
Current Strategies and Potential Prospects of Nanomedicine Mediated Therapy in Inflammatory Bowel Disease
Venue: International journal of nanomedicine
Year: 2021

Inflammatory bowel diseases (IBD) such as Crohn's disease and ulcerative colitis are highly debilitating. IBDs are associated with the imbalance of inflammatory mediators within the inflamed bowel. Conventional drugs for IBD treatment include anti inflammatory medications and immune suppressants. However, they suffer from a lack of bioavailability and high dose induced systemic side effects. Nanoparticle (NP) derived therapy improves therapeutic efficacy and increases targeting specificity. Recent studies have shown that nanomedicines, based on bowel disease's pathophysiology, are a fast growing field. NPs can prolong the circulation period and reduce side effects by improving drug encapsulation and targeted delivery. Here, this review summarizes various IBD therapies with a focus on NP derived applications, whereas their challenges and future perspectives have also been discussed.
IOT BASED EARLY FLOOD MONITORING, DETECTION AND ALARMING SYSTEM
Year: 2020

Nowadays natural calamities like flooding turn up drastically, and it severely affects standard of living. In this paper the development of flood monitoring system using IOT to keep track of the conditions nearby the reservoir with the help of Arduino, the prototyping platform and the compactible sensors such as level, temperature, humidity and flow distinctly presented. Firstly the hardware unit is placed in the flood prone areas, the Wi Fi module (ESP8266) act as the transmitting unit and the sensors associated with the system measures the corresponding parameters. Then the accurately measured parameters are displayed through the LCD display and passed to the IOT web application. Here the thingspeak web application is used to store data in private channel and the web application then alerts the authority and people while flood occurs.
PENGEMBANGAN LEMBAR KERJA SISWA (LKS)MATEMATIKA MATERI GARIS DAN SUDUTDENGAN PENDEKATAN SAINTIFIK UNTUKMEMFASILITASI PEMAHAMAN KONSEP SISWASMP/MTs KELAS VII
Year: 2019

Penelitian ini bertujuan untuk menghasilkan Lembar Kerja Siswa (LKS) matematika dengan pendekatan saintifik untuk memfasilitasi kemampuan pemahaman konsep siswa yang berkualitas sehingga layak digunakan dalam pembelajaran matematika kelas VII pada materi garis dan sudut. Penelitian ini merupakan penelitian pengembangan (Research and Development) Model pengembangan yang digunakan dalam penelitian ini adalah model prosedural. Prosedur pengembangan yang digunakan adalah prosedur pengembangan menurut Tim Puslitjaknov (Pusat Penelitian Kebijakan dan Inovasi) Depdiknas. Langkah langkah dalam prosedur pengembangan tersebut yaitu 1) melakukan analisis produk yang akan dikembangkan, 2) mengembangkan produk awal, 3) validasi ahli dan revisi, 4) uji coba lapangan skala kecil, dan 5) uji coba lapangan skala besar dan produk akhir. Subjek penelitian ini adalah siswa kelas VII D MTs Negeri 6 Sleman dan 3 orang validator ahli. Instrumen yang digunakan meliputi lembar pedoman wawancara, lembar angket respon terhadap LKS draft 2, lembar penilaian LKS, lembar soal post test, dan lembar angket respon siswa terhadap LKS. Hasil penelitian menunjukan bahwa produk yang dikembangkan telah memenuhi kriteria ketercapaian yang meliputi valid, efektif, dan praktis. Valid berdasarkan penilaian ahli yang menunjukan bahwa LKS yang dikembangkan termasuk kategori sangat baik dengan persentase keidealan 88,37% Efektif berdasarkan hasil posttest, LKS matematika dikatakan efektif karena berhasil memfasilitasi kemampuan pemahaman konsep siswa pada materi garis dan sudut. Hal ini dilihat 67,6% dari banyaknya siswa yang mengikuti post test memperoleh nilai lebih besar atau sama dengan Kriteria Ketuntasan Minimum (KKM) pada kompetensi dasar garis dan sudut. Praktis berdasarkan respon siswa terhadap LKS matematika dengan pendekatan saintifik diperoleh respon yang positif dengan persentase 75,25%
TANGGUNG JAWAB BROKER ASURANSI DALAM HAL PENYELESAIAN SENGKETA KLAIM ASURANSI ATAS PENCABUTAN IZIN PENANGGUNG
Year: 2016

Belum banyak yang mengetahui tentang usaha penunjang asuransi, Pialang Broker Asuransi. Bahkan tak jarang pula yang salah persepsi bahwa tertanggung lah yang harus membayar biaya broker. Atau kekhawatiran bahwa premi yang harus dibayar tertanggung nanti akan jauh lebih tinggi jika berasuransi lewat broker asuransi. Jurnal ini menggunakan metode yuridis empiris dengan spesifikasi penulisan deskriptif analitis. Hasil penelitian yang diperoleh adalah Tanggung jawab perusahaan pialang broker asuransi di Indonesia, diatur dalam Undang Undang Nomor 40 Tahun 2014 tentang Perasuransian, yang pada intinya usaha pialang asuransi adalah usaha jasa konsultasi dan/atau keperantaraan dalam penutupan asuransi atau asuransi syariah serta penanganan penyelesaian klaimnya dengan bertindak untuk dan atas nama pemegang polis, tertanggung, atau peserta.
Analyzing Gender Role Representations of Serial Killers in "Dexter"
Year: 2015

TV series are used as mediums to reflect personal troubles and public issues, which are connected to each other with the concept of "sociological imagination" In other words, it is the awareness of personal experience and wider society relationship and is used in the TV series to reflect the social reality. Without gender role representation, analyzing the reflection of reality in the TV shows would be inadequate. In order to analyze the gender role representations, one of the Showtime TV series, "Dexter" will be used as a case study. Besides gender role representation in "Dexter" because the show is based on a serial killer character, Dexter Morgan, serial killer typologies and their effective usage in the episodes will be discussed. The aim of this study is to sociologically analyze the gender role representations with the serial killer typologies of the characters in Dexter. There are basically four serial killer typologies for men and seven for women. These are visionary, mission oriented, hedonistic, power/control oriented for men and black widow, angel of death, sexual predator, revenge, profit or crime, team killer, question of sanity for women.
Kichwa or Quichua? Competing Alphabets, Political Histories, and Complicated Reading in Indigenous Languages
Venue: Comparative Education Review
Year: 2018

Over the past century, missionary educators, nation state and academic planners, and literacy development workers have used alphabets for political ends for traditionally marginalized languages, and Native peoples have contested such planning with other alphabet proposals. Yet literacy work now often overlooks that there are multiple alphabets circulated in reading materials for the same Indigenous language. This article shows how standardization, a process long favored by academics, has been a major source of disagreement. It combines historical analysis of the politics of alphabetic literacy in Latin America with ethnographic research on Kichwa (Ecuadorian Quechua) to demonstrate how contrastive alphabets affect current literacy efforts. Distinct but overlapping alphabets create difficulties for readers in Ecuador, and alphabet histories affect how people perceive and interact with schooling materials. Sometimes just the shape of a single letter invokes emotions. Orthographies are thus bound up in histories of language contact among colonial and marginalized languages, complicating educational research, planning, and assessment's efforts to make alphabetic literacy into a monolingual, neutral, or standardized process.