nils-herrmann/clean_scirepeval huggingface dataset:
La relazione di cura attitudini infermieristiche peruna gestione adeguata del paziente tossicodipendentenel contesto ospedaliero
Year: 2018

L'alta prevalenza dei disturbi da uso di sostanze aumenta la richiesta di assistenza infermieristica nell'ambito acuto ospedaliero (Statistique medicale des hopitaux: nombre de cas et duree moyenne de sejour par classes d'age, selon le code de traitement 2015 2016 Tableau s.d. Per riuscire a far fronte al disagio e alla sofferenza del tossicodipendente, bisogna trovare il giusto equilibrio per ottenere un'efficace relazione di cura, soprattutto nell'attitudine del curante che si rivela fondamentale nella sua presa in carico terapeutica. Il comportamento e un mezzo utilizzato inconsapevolmente nel rapporto che l'infermiere instaura con il paziente, comunemente in tutti i reparti sociosanitari. Spesso non si considerano i reali benefici che potrebbe portare al paziente, piu gravemente con una psicopatologia di base la quale delinea una fragilita della sfera psico emotiva ancora piu elevata (Potter Perry, 2011) Obiettivo Lo scopo e quello di identificare le attitudini infermieristiche piu opportune da adottare con il paziente tossicodipendente, riconoscendo i fattori favorevoli e sfavorevoli per ottenere con lui una relazione efficace e migliorare la sua presa a carico. Metodologia La domanda di ricerca emersa e "Quali attitudini risultano scientificamente efficaci per stabilire una relazione di cura tra l'infermiere e il paziente adulto che soffre di un disturbo da poli abuso di sostanze stupefacenti, in un reparto ospedaliero di cure generali, per migliorarne la sua presa in carico?" Il metodo che verra utilizzato per rispondervi sara una revisione della letteratura. Risultati In totale sono stati analizzati 10 articoli. Le evidenze supportano sia attitudini positive sia comportamenti negativi e controproducenti adottati dagli infermieri nei reparti ospedalieri. I fattori principali che risultano deficitari e ostacolanti il comportamento dell'infermiere sono correlati a caratteristiche individuali, emotive e attitudinali (paura, evitamento, disagio, inadeguatezza, insoddisfazione, non identificazione nel proprio ruolo, discomfort, alta percezione del pericolo, scarsa motivazione) assenza o carenza di tempo necessario da dedicare alla gestione dei pazienti politossicodipendenti, inadeguatezza, scarsa sicurezza ambientale, mancanza di una formazione specialistica e delle competenze opportune. Conclusioni Nelle strutture ospedaliere e aumentata la necessita di assistenza ai pazienti con problemi di abuso di sostanze nelle quali l'infermiere e la principale risorsa per l'erogazione di cure individualizzate e condivise con l'utente. Dalle evidenze esaminate si puo dedurre che un atteggiamento positivo, interessato e adeguato dell'infermiere e la strategia migliore da adottare nella relazione con il paziente tossicodipendente nel regime acuto di cure generali. Le attitudini piu inopportune e negative sono legate a una ridotta capacita di affrontare, gestire e fornire un'assistenza di qualita.
Energy Efficient Resource Allocation for Underlaying Multi D2D Enabled Multiple Antennas Communications
Venue: IEEE Transactions on Vehicular Technology
Year: 2020

Energy efficiency has a significant importance to optimize the wireless communications systems by providing high data rates. In order to develop energy efficient systems, one of the promising methods is to use multiple device to device (D2D) underlaying multiple antenna cellular systems. The interference from cellular users to D2D pairs, the interference between D2D pairs and the interference at the base station (BS) caused by D2D pairs occur in these communications systems. In this article, we propose energy efficient resource allocation algorithms for underlaying multi D2D enabled multiple antennas communications by employing different multiple antenna processing techniques at the BS. A joint method based on Dinkelbach algorithm and Message Passing Algorithm (MPA) and an approach based on deep learning with multi layer artificial neural network are proposed to maximize the global energy efficiency (GEE) while satisfying the data rate requirements of both cellular users and D2D pairs. In MPA, the factor graph of the D2D pairs is constructed by taking into account the interference among the D2D pairs and the interference level at the BS to avoid any interruption in the cellular transmission. By relying on the training based on the proposed joint algorithm, a deep neural network approach is presented for off line implementation. The performance results of the proposed energy efficient resource allocation algorithms show the superiority of multi D2D communications over conventional single D2D communications.
Field evaluation of a Pan Lassa rapid diagnostic test during the 2018 Nigerian Lassa fever outbreak
Venue: Scientific Reports
Year: 2020

Lassa virus (LASV) is the causative agent of Lassa fever (LF) an often fatal hemorrhagic disease. LF is endemic in Nigeria, Sierra Leone and other West African countries. Diagnosis of LASV infection is challenged by the genetic diversity of the virus, which is greatest in Nigeria. The ReLASV Pan Lassa Antigen Rapid Test (Pan Lassa RDT) is a point of care, in vitro diagnostic test that utilizes a mixture of polyclonal antibodies raised against recombinant nucleoproteins of representative strains from the three most prevalent LASV lineages (II, III and IV) We compared the performance of the Pan LASV RDT to available quantitative PCR (qPCR) assays during the 2018 LF outbreak in Nigeria. For patients with acute LF (RDT positive, IgG/IgM negative) during initial screening, RDT performance was 83.3% sensitivity and 92.8% specificity when compared to composite results of two qPCR assays. 100% of samples that gave Ct values below 22 on both qPCR assays were positive on the Pan Lassa RDT. There were significantly elevated case fatality rates and elevated liver transaminase levels in subjects whose samples were RDT positive compared to RDT negative.
PENGARUH KESELAMATAN DAN KESEHATAN KERJA (K3) TERHADAP KINERJA PEKERJA PROYEK KONSTRUKSI PADA PT. JAYA KUSUMA SARANA
Year: 2019

PT. Jaya Kusuma Sarana telah menerapkan program Kesehatan dan Keselamatan Kerja (K3) dengan baik pada proyek konstruksi pembangunan Hotel Greenhill Jimbaran yang berlokasi di Jalan Batu Meguwung, Jimbaran, Kuta Selatan, Kabupaten Badung, Bali. Dengan menerapkan program K3 pihak manajemen mengharapkan akan terjadinya peningkatan kinerja karyawan. Peningkatan kinerja karyawan dapat mendukung keberhasilan proyek konstruksi yang sedang dikerjakan perusahaan. Dari hasil studi pustaka diperoleh 6 faktor kebijakan K3 yang mempengaruhi kinerja karyawan yaitu: pekerja konstruksi, peraturan dan prosedur K3, komunikasi pekerja, kompetensi pekerja, keterlibatan pekerja dan lingkungan kerja. Penelitian ini bertujuan untuk mengetahui pengaruh ke enam faktor kebijakan K3 tersebut terhadap kinerja pekerja konstruksi PT. Jaya Kusuma Sarana pada proyek konstruksi pembangunan Hotel Greenhill Jimbaran yang berlokasi di Jalan Batu Meguwung, Jimbaran, Kuta Selatan, Kabupaten Badung, Bali. Pengumpulan data dilakukan melalui survey menggunakan kuesioner. Jumlah sampel penelitian 69 responden. Metode analisis data dilakukan dengan metode regresi berganda yaitu Melakukan analisis variabel bebas (X) terhadap variabel terikat (Y) untuk mengetahui tingkat hubungan dari faktor faktor yang berpengaruh terhadap kinerja proyek (Y) Faktor faktor K3 berpengaruh secara signifikan terhadap kinerja pekerja konstruksi sebesar 85,3% sedangkan faktor faktor keselamatan dan kesehatan kerja (K3) yang paling berpengaruh terhadap kinerja pekerja proyek konstruksi adalah faktor X1.2 tentang kesiapan diri pekerja sebelum memulai pekerjaan baik jasmani maupun rohani dengan skala nilai seberar 4,1159.
The Separation of Venom Apparatus, Purification and Identification Method of Conotoxins in Cone Snail Conus terebra thomasi
Year: 2015

Cone snails (genus: Conus) are groups of marine mollusks that make a group of toxin compounds (conotoxins) for different purposes. Several studies proved the medical properties of conotoxins and existence of different toxic compounds in different parts of venom apparatus. So, recognizing the simplest and the most suitable method for separating the venom apparatus and purification of conotoxins is necessary. For this purpose, several specimens of Conus terebra thomasi were collected from the Northern sandy coast of Larak Island and the shells of samples were cracked by vice. After pulling out the snail from its shell, drawing out of the venom apparatus was done by cutting the posterior section of foot muscle. Venom apparatus was divided into three parts, venom bulb, proximal and distal venom duct and each sample was freeze dried. Extraction was done by three solvents (Acetone 100% A mixture of Acetone100% Methanol20% and Phosphate Buffered Saline) and the total protein of each extract was determined by Bradford protein assay. The results showed that the amount of total protein in two extracts (Acetone and Acetone Methanol) were very low and cannot be measured by this method, but it is measurable in third extract (venom bulb: 38.79, proximal venom duct: 52.4 and distal venom duct: 46.01 mg/g dried tissue) By using electrophoresis method, different conopeptides were shown in different parts of venom apparatus. Also, the most suitable solvent between the checked solvents in this study is phosphate buffered saline because of high concentration of extracted conopeptides, and reducing the risk of tissue damage. Meanwhile, the extracted compounds are suitable for investigating their bioactivity.
[Comparative study on identity of B. ovis 019 strain by traditional methods and HOOF prints technique]
Venue: Wei sheng wu xue bao Acta microbiologica Sinica
Year: 2007

B. ovis 019 strain was identified by traditional methods and HOOF Prints technique. Software DNAMAN was used to analyze phylogenetic tree for B. ovis 019 and reference strains of B. abortus 2308, B. melitensis 16M, B. suis 1330 and B. ovis 63/290. The results showed that the similarity between B. ovis 019 and B. ovis 63/290 was higher than that between B. ovis 019 and the other reference strains, which was in accordance with the results by conventional bacteriological methods. HOOF Prints technique would be a promising method for identifying Brucella species and even biovars.
Style Invariant Locomotion Classification for Character Control
Venue: Comput. Graph. Forum
Year: 2019

We present a real time system for character control that relies on the classification of locomotive actions in skeletal motion capture data. Our method is both progress dependent and style invariant. Two deep neural networks are used to correlate body shape and implicit dynamics to locomotive types and their respective progress. In comparison to related work, our approach does not require a setup step and enables the user to act in a natural, unconstrained manner. Also, our method displays better performance than the related work in scenarios where the actor performs sharp changes in direction and highly stylized motions while maintaining at least as good performance in other scenarios. Our motivation is to enable character control of non bipedal characters in virtual production and live immersive experiences, where mannerisms in the actor's performance may be an issue for previous methods.
Can Online Delivery Increase Access to Education?
Venue: Journal of Labor Economics
Year: 2019

Most research on online education compares student performance across online and in person formats. We provide the first evidence that online education affects the number of people pursuing education by studying Georgia Tech's Online MS in Computer Science, the earliest model offering a highly ranked degree at low cost. A regression discontinuity in admission shows that program access substantially increases overall educational enrollment. By satisfying large, previously unmet demand for midcareer training, this program will boost annual production of American computer science master's degrees by at least 7% Online options may open opportunities for populations who would not otherwise pursue education.
Complex Query Answering with Neural Link Predictors
Venue: ICLR
Year: 2021

Neural link predictors are immensely useful for identifying missing edges in large scale Knowledge Graphs. However, it is still not clear how to use these models for answering more complex queries that arise in a number of domains, such as queries using logical conjunctions, disjunctions, and existential quantifiers, while accounting for missing edges. In this work, we propose a framework for efficiently answering complex queries on incomplete Knowledge Graphs. We translate each query into an end to end differentiable objective, where the truth value of each atom is computed by a pre trained neural link predictor. We then analyse two solutions to the optimisation problem, including gradient based and combinatorial search. In our experiments, the proposed approach produces more accurate results than state of the art methods black box neural models trained on millions of generated queries without the need of training on a large and diverse set of complex queries. Using orders of magnitude less training data, we obtain relative improvements ranging from 8% up to 40% in Hits@3 across different knowledge graphs containing factual information. Finally, we demonstrate that it is possible to explain the outcome of our model in terms of the intermediate solutions identified for each of the complex query atoms.
BOARD STRUCTURE, AUDIT COMMITTEE AND EARNINGS MANAGEMENT OF DEPOSIT MONEY BANKS IN NIGERIA
Year: 2019

There is an increasing demand in the quality of earnings as this has become a key challenge for banks since the witness of financial scandals around the world. The financial scandals were blamed on pervasiveness of earnings manipulations by managers. Thus, this study examines the effect of board structure and audit committee on earnings management of listed Deposit Money Banks in Nigeria. Chang, Shen and Fang (2008) model was used to proxy earnings management, while women director, foreign director, board ownership, board size, board composition and audit committee represents board structure. Data were obtained from the annual reports and accounts of the 14 listed banks between 2006 and 2016. The study adopted Ordinary Least Square regression. The findings revealed that, women director and board size have significant negative effect on earnings management, while board ownership and audit committee were found to have significant but positive effect on earnings management of the banks. However, foreign director and board composition did not exert any significant effect on earnings management. The study recommends amongst others that the number of women director and board size be improved upon by the management, while percentage of shares held by directors and audit committee be reduced as this will ensure credibility and reliance in financial reports.
A Novel Wavelet Based Image Defogging Using Dark Channel Prior and Guided Filter
Year: 2019

Recently, fog removal from images and videos has got tremendous importance in image and video processing for object detection, tracking and surveillance system, advance image editing, and many more which are poorly affected by the fog. A lot of works have been proposed so far for removing fog from image and video. It includes different methods like contrast enhancement, local color line model based and many more fog removal technique. In this paper, we propose a novel defogging method where guided filter based dark channel prior (DCP) is applied on low low (LL) band of discrete wavelet transformation (DWT) coefficient of the intensity rectified image which is obtained after homomorphic filtering. To improve the sharpness of the output, unsharp masking (USM) is applied on high low (HL) and low high (LH) bands of the DWT coefficient. Finally, sharp and high contrast output is generated by applying contrast limited adaptive histogram equalization technique (CLAHE) to the inverse transformed image. The proposed method improves the overall quality of the defogged output image with respect to contemporary methods. The measured quality metrics of the proposed method are compared with some recent works. The quantitative and qualitative results confirm the claims.
Localization accuracy of interest point detectors with different scale space representations
Venue: 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Year: 2014

The detection of scale invariant image features is a fundamental task for computer vision applications like object recognition or re identification. Features are localized by computing extrema of the gradients in the Laplacian of Gaussian (LoG) scale space. The most popular detector for scale invariant features is the SIFT detector which uses the Difference of Gaussians (DoG) pyramid as an approximation of the LoG. Recently, the alternative interest point (ALP) detector demonstrated its strength in fast computation on highly parallel architectures like the GPU. It uses the LoG scale space representation for the localization of interest points. This paper evaluates the localization accuracy of ALP in comparison to SIFT. By using synthetic images, it is demonstrated that both localization approaches show a systematic error which is dependent on the subpixel position of the feature. The error increases with the scale of the detected feature. However, using the LoG instead of the DoG representation reduces the maximum systematic error by 77 For the evaluation with natural images, benchmark data sets are used. The repeatability criterion evaluates the accuracy of the detectors. The LoG based detector results in up to 16 higher repeatability. The comparisons are completed with a reference feature localization which uses a signal based approach for the gradient approximation. Based on this approach, a new feature selection criterion is proposed.
Why people use herbal medicine: insights from a focus group study in Germany
Venue: BMC Complementary and Alternative Medicine
Year: 2018

BackgroundThe use of herbal medicine, as one element of complementary and alternative medicine, is increasing worldwide. Little is known about the reasons for and factors associated with its use. This study derives insights for the use of herbal medicine in Germany regarding the usage aims, role played by the type of illness, reasons for preferred usage and sources of information.MethodsUsing a qualitative methodological approach, six focus groups (n 46) were conducted. Two groups with young, middle aged and elderly participants, respectively. After audiotaping and verbatim transcription, the data were analysed with a qualitative content analysis.ResultsWe found that treating illnesses was the most frequently discussed aim for using herbal medicine over all age groups. Preventing illnesses and promoting health were less frequently mentioned overall, but were important for elderly people. Discussions on herbal medicine were associated with either mild/moderate diseases or using herbal medicine as a starting treatment before applying conventional medicine. In this context, participants emphasized the limits of herbal medicine for severe illnesses. Dissatisfaction with conventional treatment, past good experiences, positive aspects associated with herbal medicine, as well as family traditions were the most commonly mentioned reasons why herbal medicine was preferred as treatment. Concerning information sources, independent reading and family traditions were found to be equally or even more important than consulting medicinal experts.ConclusionsAlthough herbal medicine is used mostly for treating mild to moderate illnesses and participants were aware of its limits, the combination of self medication, non expert consultation and missing risk awareness of herbal medicine is potentially harmful. This is particularly relevant for elderly users as, even though they appeared to be more aware of health related issues, they generally use more medicine compared to younger ones. In light of our finding that dissatisfaction with conventional medicine was the most important reason for a preferred use of herbal medicine, government bodies, doctors, and pharmaceutical companies need to be aware of this problem and should aim to establish a certain level of awareness among users concerning this issue.
Abstract 6468: Prognostic genomic alterations associated with recurrence after primary therapy for patients with luminal B breast cancer
Year: 2020

Luminal type breast cancers account for the most common subtypes of breast cancers, among which luminal B subtype is relatively faster tumor growing and confers substantial risk of recurrence after primary treatment despite adjuvant endocrine therapy. Understanding the molecular alterations underlying the poorer survival outcome for luminal B tumors represents an unmet medical need.  The archival samples of 16 recurrences within 5 years, 3 recurrences between 5 10 years and 24 non recurrence tumor tissues from luminal B breast cancer patients were retrieved. Genomic alterations of these 43 breast cancer samples were detected using deep next generation sequencing of a 440 gene panel. The mRNA levels of candidate genes in breast cancer patients were analyzed from The Cancer Genome Atlas (TCGA) database.  Overall, genomic alterations were found in 340 genes, including single nucleotide variants and copy number variation. Comparing to the non recurrence tumors, NUP98 (31.3% MAPK4 (18.8% PTEN (18.8% PER1 (18.8% and TRIP11 (18.8% showed higher population frequency in the recurrence tumors, and IGF2R (50.0% PIM1 (45.8% and ROS1 (37.5% were dominate in the non recurrence tumors. After a validation with the public clinical dataset, we identified three potential prognostic biomarkers, including NUP98, PER1, and TRIP11. We observed missense mutation or copy number deletion of NUP98, PER1 and TRIP11 in early recurrence tumors. Data from TCGA database exhibited patients with breast cancer harbored lower NUP98, PER1 and TRIP11 transcripts levels. Notably, lower NUP98, PER1 and TRIP11 expression levels correlated with worse recurrence free survival in luminal B breast cancer. Interestingly, based on algorithm for visualization of protein interaction network, we found these 3 genes were all involved in androgen receptor signaling network.  Our study identified NUP98, PER1, and TRIP11 which potentially served as biomarkers to predict recurrence in luminal B breast cancer. Further research is required to understand the association between genomic alterations and androgen receptor signaling as well as its clinical impact.  Chun Yu Liu, Ji Lin Chen, Yi Ting Yang, Yi Fang Tsai, Ta Chung Chao, Kien Thiam Tan, Wan Lun Wang, Pei Ju Lien, Shu Jen Chen, Ling Ming Tseng. Prognostic genomic alterations associated with recurrence after primary therapy for patients with luminal B breast cancer [abstract]  . Philadelphia (PA) AACR;