nils-herrmann/clean_scirepeval huggingface dataset:
Daily Poverty Related Stress and Coping: Associations with Child Learned Helplessness
Year: 2016

This study examined daily poverty related stress and parents' efforts to help children cope with stress in relation to learned helplessness for young children attending a Head Start preschool. A total of 750 telephone interviews were conducted with 75 parents concerning their daily stressors and strategies they used to help children cope. A behavioral protocol measured child learned helplessness. Multilevel modeling showed a positive within persons relationship between daily stress and coping, and a positive between persons relationship between daily stress and child learned helplessness. Implications include understanding the daily processes through which the poverty ecology transmits risk for negative child developmental outcomes and through which parents might offer protection. Specifically, the results suggest that daily poverty related stressors may undermine young children's developing sense of control and suggest the importance of further research on how parent coping might promote positive outcomes.
A metabolite based machine learning approach to diagnose Alzheimer type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort
Venue: Alzheimer's dementia
Year: 2019

Machine learning (ML) may harbor the potential to capture the metabolic complexity in Alzheimer Disease (AD) Here we set out to test the performance of metabolites in blood to categorize AD when compared to CSF biomarkers.
The Cohesive Metastasis Phenotype in Human Prostate Cancer.
Venue: Biochimica et biophysica acta
Year: 2016

A critical barrier for the successful prevention and treatment of recurrent prostate cancer is detection and eradication of metastatic and therapy resistant disease. Despite the fall in diagnoses and mortality, the reported incidence of metastatic disease has increased 72% since 2004. Prostate cancer arises in cohesive groups as intraepithelial neoplasia, migrates through muscle and leaves the gland via perineural invasion for hematogenous dissemination. Current technological advances have shown cohesive clusters of tumor (also known as microemboli) within the circulation. Circulating tumor cell (CTC) profiles are indicative of disseminated prostate cancer, and disseminated tumor cells (DTC) are found in cohesive clusters, a phenotypic characteristic of both radiation and drug resistant tumors. Recent reports in cell biology and informatics, coupled with mass spectrometry, indicate that the integrin adhesome network provides an explanation for the biophysical ability of cohesive clusters of tumor cells to invade thorough muscle and nerve microenvironments while maintaining adhesion dependent therapeutic resistance. Targeting cohesive clusters takes advantage of the known ability of extracellular matrix (ECM) adhesion to promote tumor cell survival and represents an approach that has the potential to avoid the progression to drug and radiotherapy resistance. In the following review we will examine the evidence for development and dissemination of cohesive clusters in metastatic prostate cancer.
Curcumin as a potential therapeutic option for NAFLD and other metabolic diseases: need for establishing the underlying mechanism(s) of action
Venue: Hepatology International
Year: 2019

The natural polyphenol, curcumin, the most widely studied component of the Asian spice Turmeric, is shown to have potent anti oxidant, anti inflammatory, anti bacterial and anti neoplastic activities [1 4] These varied beneficial effects have been largely examined using cell culturebased assays in vitro where curcumin is in direct contact with the target cells. However, limited oral bioavailability of curcumin and levels of curcumin or its metabolites in systemic circulation below the detection limits of most analytical methods hinder the establishment of a cause effect relationship between orally administered curcumin and the observed beneficial effects in vivo [5] Furthermore, results from several small scale clinical studies/trials have not been entirely consistent complicating an already difficult problem. Nonetheless, ever increasing published data and widespread recognition of curcumin as a dietary supplement warrant a systematic review of existing literature, preferably in the context of a specific disease process. In this issue of the Journal, Wei et al.  report a metaanalysis of randomized controlled trials (RCTs) examining the effects of curcumin on the metabolic parameters of nonalcoholic fatty liver disease (NAFLD) Out of 99 studies identified by literature searches, only four studies met the stringent inclusion criteria namely, RCT or parallel trial, included subjects 18 years of age, assessment of NAFLD (grades 1 3) by liver ultrasound and the fact that the intervention group received curcumin and control group received a placebo. Curcumin supplementation significantly lowered plasma LDL C, triglycerides, fasting blood sugar, HOMAIR, body weight and AST levels. However, the observed lowering of total plasma cholesterol, HDL C, HbA1c, ALT or insulin levels by curcumin did not reach statistical significance. Detailed analyses on the effects of curcumin on the severity of hepatic steatosis, an important parameter for NAFLD, could not be performed due to the limited number of available studies. Despite another limitation noted by the authors, namely small number of patients included in most studies, these are promising/encouraging data especially considering the poor bioavailability of orally administered curcumin and raise two intriguing possibilities:
COVID 19: beta thalassemia subjects immunised?
Venue: Medical Hypotheses
Year: 2020

The novel coronavirus pneumonia (COVID 19) is a contagious acute respiratory infectious disease whose causative agent has been demonstrated to be a novel virus of the coronavirus family, SARSCoV 2. A recent PRE print study has showed a heme attack on the 1 beta chain of hemoglobin by COVID19. Beta thalassemia results of a default in the hemoglobin beta chain synthesis. 1,5% global population are heterozygotes for this disease. In this study, by a multiple linear regression, we have analyzed the evolution of COVID 19 infection in three Italian regions (Puglia, Sardinia, Sicilia) with different beta thalassemic prevalences, in order to search a link. The results have showed that betathalassemic heterozygote population prevalence is correlated to immunity against COVID 19, by a regression. This paper is only for academic discussion, the hypotheses and conclusions needs to be confirmed by further research
Target dependent Twitter Sentiment Classification
Venue: ACL
Year: 2011

Sentiment analysis on Twitter data has attracted much attention recently. In this paper, we focus on target dependent Twitter sentiment classification; namely, given a query, we classify the sentiments of the tweets as positive, negative or neutral according to whether they contain positive, negative or neutral sentiments about that query. Here the query serves as the target of the sentiments. The state of the art approaches for solving this problem always adopt the target independent strategy, which may assign irrelevant sentiments to the given target. Moreover, the state of the art approaches only take the tweet to be classified into consideration when classifying the sentiment; they ignore its context (i.e. related tweets) However, because tweets are usually short and more ambiguous, sometimes it is not enough to consider only the current tweet for sentiment classification. In this paper, we propose to improve target dependent Twitter sentiment classification by 1) incorporating target dependent features; and 2) taking related tweets into consideration. According to the experimental results, our approach greatly improves the performance of target dependent sentiment classification.
Impact assessments of intelligent transport system performance in a freight transport corridor
Year: 2018

Transport network infrastructure including the use of Intelligent Transport Systems (ITS) is fundamental to the mobility of people and shipments. This study aims at understanding how different ITS measures may impact multiple traffic engineering goals with respect to a set of Key Performance Indicators (KPIs) The ordering of KPIs is determined by the preferences of the decision maker. A Multi Criteria Decision Analysis framework is proposed for impact assessments of ITS measures. Data about KPIs is derived with the help of traffic data gathered from the Gothenburg Region. Comparing the contributions of ITS measures to different goals suggest that the management of flow and speed in a road network is crucial for improving capacity utilisation. The goal assessments are then projected onto different use cases in terms of socio economic impacts. The result indicates that corridor section traffic management, transport management (focusing on transit traffic) and urban gate way will generate socio economic effects, respectively, in a decreasing order. Urban gateway is particularly interesting because it is the least intrusive and less costly use case.
Predicting and managing the risk of pulmonary haemorrhage in patients with NSCLC treated with bevacizumab: a consensus report from a panel of experts
Venue: Annals of oncology official journal of the European Society for Medical Oncology
Year: 2012

Bevacizumab is a monoclonal antibody against vascular endothelial growth factor. Severe pulmonary haemorrhage (PH) is a rare but serious potential adverse event associated with bevacizumab therapy for advanced non squamous non small cell lung cancer (NSCLC)  A panel of expert oncologists, pulmonologists and radiologists reviewed the available data to identify predictive factors for PH in order to help guide physicians using bevacizumab in patients with NSCLC.  Patients with NSCLC are at an increased risk of PH owing to the underlying disease process. Patients with squamous histology and/or a history of grade =2 haemoptysis =2.5 ml per event) should not receive bevacizumab. No clinical or radiological features (including cavitation and central tumour location) reliably predict severe PH in bevacizumab treated patients. Major blood vessel infiltration and bronchial vessel infiltration, encasement and abutting may predict PH; however, standardised radiological criteria for defining infiltration have not been established. Eligibility for bevacizumab is not affected by patient age, performance status or anticoagulation or antiplatelet therapy.  An individualised risk benefit assessment should be undertaken in all patients with NSCLC in whom bevacizumab is being considered. Further research is required to elucidate the mechanisms underlying PH and the clinical risk factors.
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask
Venue: IEEE Transactions on Computational Imaging
Year: 2018

Depth estimation from a single image is a well known challenge in computer vision. With the advent of deep learning, several approaches for monocular depth estimation have been proposed, all of which have inherent limitations due to the scarce depth cues that exist in a single image. Moreover, these methods are very demanding computationally, which makes them inadequate for systems with limited processing power. In this paper, a phase coded aperture camera for depth estimation is proposed. The camera is equipped with an optical phase mask that provides unambiguous depth related color characteristics for the captured image. These are used for estimating the scene depth map using a fully convolutional neural network. The phase coded aperture structure is learned jointly with the network weights using backpropagation. The strong depth cues (encoded in the image by the phase mask, designed together with the network weights) allow a much simpler neural network architecture for faster and more accurate depth estimation. Performance achieved on simulated images as well as on a real optical setup is superior to the state of the art monocular depth estimation methods (both with respect to the depth accuracy and required processing power) and is competitive with more complex and expensive depth estimation methods such as light field cameras.
RP HPLCFa Ce Ding Xiao Hua Gui Zhen Cao Zhong Yuan Er Cha Suan Lu Ding Jin Si Tao Gan He Hu Pi Gan De Han Liang
Year: 2009

Mu De Jian Li Tong Shi Ce Ding Xiao Hua Gui Zhen Cao Zhong Yuan Er Cha Suan Lu Ding Jin Si Tao Gan He Hu Pi Gan Han Liang De Fang Fa Fang Fa Yao Cai Yong Ti Ji Fen Shu Wei 60%De Yi Chun Shui Rong Ye Chao Sheng Ti Qu ,Ti Qu Ye Jian Ya Zheng Gan ,Can Zha Yong Jia Chun Rong Jie Lu Guo Zuo Wei Gong Shi Pin Rong Ye ;Cai Yong Shimadzu VP C18Zhu (250 mmx4.6 mm,5mm),Yi Yi Jing Ti Ji Fen Shu Wei 0.1%De Jia Suan Shui Rong Ye Wei Liu Dong Xiang Jin Xing Ti Du Xi Tuo ,Liu Su Wei 1.0 mL.min^ 1,Jian Ce Bo Chang Wei 254 nm,Zhu  Liang Nong Du Fen Bie Zai 40.2 804.0, 24.8 496.0, 25.2 504.0, 20.4 408.0 mg.L^ 1Nei Yu Feng Mian Ji Cheng Liang Hao Xian Xing Guan Xi (r>=0.999 5,n=6),Fang Fa Ping Jun Hui Shou Lu Fen Bie Wei 100.2% 99.3% 99.5% 98.3%(RSD<=2.9%,n=6) Jie Lun Ben Fang Fa Ke Yong Yu Tong Shi Ce Ding Xiao Hua Gui Zhen Cao Zhong Yuan Er Cha Suan Lu Ding Jin Si Tao Gan He Hu Pi Gan De Han Liang
DNA damage and oxidative stress induced by imidacloprid exposure in different tissues of the Neotropical fish Prochilodus lineatus.
Venue: Chemosphere
Year: 2018

Imidacloprid (IMI) a systemic neonicotinoid insecticide widely used in worldwide scale, is reported in freshwater bodies. Nevertheless, there is a lack of information about IMI sublethal effects on freshwater fish. Thus, the aim of this study was to identify the potential hazard of this insecticide to the South American fish Prochilodus lineatus exposed for 120 h to four IMI concentrations (1.25, 12.5, 125, and 1250 mg L 1) A set of biochemical, genotoxic and physiological biomarkers were evaluated in different organs of the fish. IMI exposure induced significant changes in the enzymatic profiles of P. lineatus, with alterations in the activity of biotransformation and antioxidant enzymes in different tissues. Redox balance of the tissues was affected, since oxidative damage such as lipoperoxidation (LPO) and protein carbonylation (PCC) were evidenced in the liver, gills, kidney and brain of fish exposed to different IMI concentrations. Fish exposed to all IMI concentrations showed decreased blood glucose indicating an increase of energetic demand. DNA damage was evidenced by the comet test, in the erythrocytes of fish all the concentrations evaluated. We integrated these results in the Integrated Biomarker Response (IBR) index, which evidenced that the organs most affected by IMI exposure were the liver and kidney, followed by the gills. Our results highlight the importance of investigating different target tissues after IMI exposure and show the sublethal effects of IMI in some of them; they also warn to the possible consequences that fish living in freshwater ecosystems can suffer due to IMI exposure.
IMPLEMENTASI PEMBELAJARAN BERBASIS ICT (INFORMATION, COMMUNICATION AND TECNOLOGY) DALAM MENINGKATKAN MOTIVASI BELAJAR PESERTA DIDIK PADA PELAJARAN PENDIDIKAN AGAMA ISLAM KELAS X DI SMA PERINTIS 2 BANDAR LAMPUNG
Year: 2017

ABSTRAK IMPLEMENTASI PEMBELAJARAN BERBASIS ICT (INFORMATION, COMMUNICATION AND TECNOLOGY) DALAM MENINGKATKAN MOTIVASI BELAJAR PESERTA DIDIK PADA PELAJARAN PENDIDIKAN AGAMA ISLAM KELAS X DI SMA PERINTIS 2 BANDAR LAMPUNG Oleh Agus Pandi Proses pembelajaran Pendidikan Agama Islam selama ini masih konvensional dan keterbatasan sumber belajar membawa dampak pada kurangnya pemahaman dan pengamalan siswa terhadap materi pelajaran Pendidikan Agama Islam, maka mengintegrasikan pembelajaran berbasis ICT (Information, Communication And Tecnology) dalam pembelajaran merupakan salah satu cara untuk mengatasinya. Dalam penelitian penulis merumuskan masalah sebagai berikut: Bagaimana penerapan Pembelajaran Berbasis ICT dalam Meningkatkan Motivasi Belajar Siswa pada Palajaran Pendidikan Agama Islam kelas X (Executive) SMA Perintis 2 Bandar Lampung. Adapun tujuan dalam penelitian ini yaitu untuk mengetahui penerapan pembelajaran berbasis ICT dalam meningkatkan motivasi belajar siswa pada palajaran pendidikan agama Islam kelas X (Executive) SMA Perintis 2 Bandar Lampung. Jenis penelitian ini adalah penelitian kualitatif deskriptif yaitu penelitian yang menekankan pada makna, penalaran, serta menggambarkan apa adanya mengenai perilaku objek yang sedang diteliti. Alat pengumpul data dalam penelitian ini adalah observasi, interview, dan dokumentasi. Adapun dalam pengambilan kesimpulan menggunakan pendekatan berfikir induktif yaitu pemikiran yang berangkat dari fakta fakta yang khusus atau peristiwa peristiwa yang kongkrit kemudian dari fakta fakta atau pristiwa yang khusus ditarik generalisasi yang bersifat umum. Kesimpulan penelitian bahwa dengan penerapan Pembelajaran Berbasis ICT (Information, Communication And Tecnology) dalam meningkatkan motivasi belajar peserta didik pada pelajaran pendidikan agama Islam kelas X ekskutif di SMA Perintis 2 Bandar Lampung sudah maksimal yaitu guru telah menggunakan media LCD proyektor (powerpoint) pada setiap pertemuan dan hotspot area. Dengan memanfaatkan pembelajaran berbasis ICT secara baik merupakan salah satu cara yang maksimal dalam menciptakan motivasi belajar peserta didik, hal ini dapat dilihat dari peningkatan motivasi belajar peserta didik bahwa pada saat pra survey peserta didik tanpa menggunakan media ICT yang motivasi belajarnya tinggi sebanyak 3 orang atau 9,1 motivasi belajar sedang sebanyak 25 orang atau 75,7 dan motivasi belajar rendah sebanyak 5 orang 15,2 Kemudian terjadi peningkatan dengan penerapan pembelajarn berbasis ICT yaitu peserta didik yang motivasi belajarnya tinggi 14 orang atau 42,4 motivasi belajar sedang sebanyak 18 orang atau 54,4 dan motivasi belajar rendah sebanyak 1 orang 3,0 dan ini bukti pengaruh dari motivasi ekstrinsik.
Performance Analysis of EPAR, DSR and MTPR in MANET'S
Venue: 2020 International Conference on Recent Trends on Electronics, Information, Communication Technology (RTEICT)
Year: 2020

The fast development in the field of mobile data processing is driving another option route in which cell phones frame a self creating, self overseeing, and self sorting out remote frameworks called Mobile Ad hoc Networks (MANETs) One of the main issues in MANET routing protocols is the development of energy efficient protocols because of limited battery life and bandwidth of the nodes. The versatile center points in MANETs have differing transmission power and power heterogeneity. This paper separates the execution appraisal of three Energy Efficient Routing Protocols are Efficient Power Aware Routing Convention (EPAR) Minimum total Transmission Power Routing (MTPR) and DSR (Dynamic Source Routing) The Energy Efficient Routing Protocols mainly considers the center point restricts by its leftover battery control and the typical imperativeness spent for sending information dependable. EPAR utilizes min max definition technique for the choice of maximum packet delivery ratio at the smallest Residual Battery Power. With different network scenarios, EPAR is comparatively good than other methods.
Digital storytelling and audience engagement in cultural heritage management: A collaborative model based on the Digital City of Thessaloniki
Venue: Journal of Cultural Heritage
Year: 2019

Cities are complex, networked and continuously changing social ecosystems, shaped and transformed through the interaction of different interests and ambitions. They are linked to places, where various aspects of past events are projected and expressed by means of personal memories and narrations (urban memory) representing a promise for future: a vision of freedom, creativity, opportunity and prosperity. At the same time, technology is currently promoting unprecedented changes in urban areas, which are often marked as smart city developments. This paper studies the history of cultural and creative industries, bringing forward the dedicated digital storytelling strategies that promote active audience engagement in urban cultural heritage. A collaborative model is proposed and analyzed (in multiple perspectives) aiming at providing an integrated manner for heritage documentation, management and dissemination. The development deals with the Digital City of Thessaloniki, Greece, a big city, not a boundless one, rich in culture, but with rather poor heritage management mechanisms. The research focuses on theoretical and practical aspects for the citizens' collection and interpretation of "digital heritage" documents (artifacts, places, etc. resulting in a model that fuels audience engagement and collaboration of cultural organizations. Model design is validated through state of the art review and formative evaluation processes (both qualitative and quantitative) with an associated SWOT analysis that points out strengths, weaknesses, opportunities and threats. Although the proposed methodology has been adapted to the needs of a particular (digital) city, the current paper goes beyond a case study, as it brings forward novel technological and methodological guidelines, which could be successfully deployed in districts with similar cultural, geographical, and technical features.
The Prevalence of Cognitive Impairment on Admission to Nursing Home among Residents with and without Stroke: A Cross Sectional Survey of Nursing Homes in Ireland
Venue: International journal of environmental research and public health
Year: 2020

Post stroke cognitive impairment (PSCI) is a common consequence of stroke. Epidemiological evidence indicates that, with an ageing population, stroke and PSCI are likely to increase in the coming decades. This may have considerable implications for the demand for nursing home placement. As prevalence estimates of both cognitive impairment and dementia on admission to nursing home among residents with and without stroke have not yet been compared, they were estimated and compared in this study. We performed a cross sectional survey to establish the admission characteristics of 643 residents in 13 randomly selected nursing homes in Ireland. The survey collected data on resident's stroke and cognitive status at the time of nursing home admission. The survey found, among nursing home residents that experienced stroke prior to admission, prevalence estimates for cognitive impairment (83.8% 95% CI 76.9 90.6% and dementia (66.7% 95% CI 57.9 75.4% were significantly higher compared to residents that had not experienced stroke prior to admission (cognitive impairment: 56.6% 95% CI 52.4 60.8% X2 (1) 28.64; p 0.001; dementia: 49.8% 95% CI 45.6 54.1% X2 (1) 10.47; p 0.01) Since the prevalence of PSCI is likely to increase in the coming decades, the findings highlight an urgent need for health service planning for this increased demand for nursing home care to meet the care needs of these stroke survivors.
Don't blame the BAME: Ethnic and structural inequalities in susceptibilities to COVID 19
Venue: American journal of human biology the official journal of the Human Biology Council
Year: 2020

This article has been written from the UK, using British terminology to refer to ethnic minorities where BAME (Black, Asian, minority ethnic groups) is a commonly used and recognized acronym. In the United Kingdom, Asian also generally refers to minorities from South Asian countries including India, Pakistan, Bangladesh, and Sri Lanka. In the United States, Asian more frequently refers to people from Southeast Asian countries like China, Japan, and South Korea. Socially constructed categories used to refer to minoritized groups are variously constructed in different countries; for example, British nomenclature most often refers to ethnicity rather than race.