bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can prospective systematic reviews of animal studies improve clinical translation?
Authors: Pound Pandora , Ritskes-Hoitinga Merel 
Published: January 2020

AbstractSystematic reviews are powerful tools with the potential to generate high quality evidence. Their application to animal studies has been instrumental in exposing the poor quality of these studies, as well as a catalyst for improvements in study design, conduct and reporting. It has been suggested that prospective systematic reviews of animal studies (i.e. systematic reviews conducted prior to clinical trials) would allow scrutiny of the preclinical evidence, providing valuable information on safety and efficacy, and helping to determine whether clinical trials should proceed. However, while prospective systematic reviews allow valuable scrutiny of the preclinical animal data, they are not necessarily able to reliably predict the safety and efficacy of an intervention when trialled in humans. Consequently, they may not reliably safeguard humans participating in clinical trials and might potentially result in lost opportunities for beneficial clinical treatments. Furthermore, animal and human studies are often conducted concurrently, which not only makes prospective systematic reviews of animal studies impossible, but suggests that animal studies do not inform human studies in the manner presumed. We suggest that this points to a confused attitude regarding animal studies, whereby tradition demands that they precede human studies but practice indicates that their findings are often ignored. We argue that it is time to assess the relative contributions of animal and human research in order to better understand how clinical knowledge is actually produced.
Trends and factors associated to early initiation of breastfeeding, exclusive breastfeeding and duration of breastfeeding in Ethiopia: evidence from the Ethiopia Demographic and Health Survey 2016
Authors: Woldeamanuel Berhanu Teshome 
Published: January 2020

AbstractBackgroundInitiation of breastfeeding immediately after birth, exclusive breastfeeding, and continuous breastfeeding for at least 2 years lower the risk of newborn deaths. This study was conducted to examine the trends and factors associated with early initiation of breastfeeding, exclusive breastfeeding and duration of breastfeeding in Ethiopia.MethodsData for this study were extracted from the Ethiopian Demographic and Health Survey 2016. A total of 5122 children were included in the analysis. Multivariate logistic regression analysis, and Cox proportional hazards model were fitted to find the factors associated with breastfeeding practices. Reportedp- values < 0.05 or a 95% Confidence Interval of Odds Ratio/Hazard Ratio excluding one was considered as significant association with early initiation of breastfeeding, exclusive breastfeeding, duration of breastfeeding and independent variables.ResultsAbout 81.8% of the children initiated breastfeeding within 1 h of birth and during the day before an interview, 47% were exclusively breastfed during the first 6 months. The median duration of breastfeeding was 22 months (22 ± 0.50 months 95% Confidence Interval [CI] 21.01–22.99). Rural residents (Odds Ratio [OR] 0.71, 95% CI 0.51, 0.99), mothers with no antenatal follow up (OR 0.75, 95% CI 0.57, 0.99), caesarean birth (OR 0.80, 95% CI 0.66, 0.96) and home delivery were associated with low initiation of breastfeeding within 1 h of birth. Mothers with no/primary education (OR 0.62, 95% CI 0.40, 0.96), no baby postnatal checkup (OR 0.53, 95% CI 0.39, 0.73), average/larger size of a child at birth (OR 0.80, 95% CI 0.65, 0.99) and deliveries outside of health centers were significantly associated with non-exclusive breastfeeding at the time of the interview. Further, mothers living in Amhara (Hazard Ratio [HR] 1.31, 95% CI 1.05, 1.64), Oromia (HR 1.27, 95% CI 1.04, 1.54), and Benishangul-Gumuz (HR 1.34, 95% CI 1.09, 1.65) regions had a longer duration of breastfeeding while Muslims, employed mothers, multiple births and poor economic level of households were associated with shorter durations of breastfeeding.ConclusionsRural residence, female sex, home delivery, caesarean birth, small birthweight baby and large family size were associated with late initiation of breastfeeding. Living in Affar, Somali, and Harari, primary education level of mothers, giving birth outside of health facilities, no antenatal care follow up, and no postnatal check-up were associated with non-exclusive breastfeeding, while younger age mothers, Muslims, giving birth outside of health facilities, and employed mothers were associated with shorter time to cessation of breastfeeding. Providing health education and counseling for mothers during and after pregnancy should be encouraged.
Repeated CyberKnife stereotactic body radiation therapy in hepatocellular carcinoma
Authors: Sun Jing , Ouyang Can , Chang Xiaoyun , Zhang Aimin , Wang Quan , Li Wengang , Zhang Dan , Wang Jia , Li Dong , Duan Xuezhang 
Published: January 2020

Abstract
Background
To explore the survival and side effects of repeated CyberKnife stereotactic body radiation therapy (CK-SBRT) on hepatocellular carcinoma patients.

Methods
24 HCC patients were collected at The Fifth Medical Center of PLA General Hospital from November 2011 to July 2016. They received second-course CK-SBRT with a prescribed dose of 50(48–55) Gy/5-8fx, and a single dose of 10 (7–11) Gy/fx. Cumulative overall survival rates (OS), progression-free survival rates (PFS) and local control rates (LC) were calculated by Kaplan-Meier method.

Results
All patients finished their radiotherapy plans. The 1-,2- and 3-year cumulative OS rate were 95.8,81.1 and 60.8%. The 1-,2- and 3-year LC rate were 95.5,90.7 and 90.7%, respectively. The 1-, 2- and 3-year PFS were 74.8, 49.2 and 39.4%, respectively. 16 patients complained of fatigue during second-course therapy, 2 patients showed Grade 2 gastrointestinal reaction, 1 patient was diagnosed radiation-induced liver disease and none died. PFS was significantly higher in the interval time < 12 months group than in the interval time ≥ 12 months group (p = 0.030).

Conclusions
It is preliminarily believed that re-CK-SBRT is an effective and safe treatment for HCC patients, but the treatment criteria should be strictly controlled.
Evaluating the effectiveness of anti-Nogo treatment in spinal cord injuries
Authors: Mohammed Raihan , Opara Kaesi , Lall Rahul , Ojha Utkarsh , Xiang Jinpo 
Published: January 2020

AbstractAs humans, we cannot regenerate axons within the central nervous system (CNS), therefore, making any damage to it permanent. This leads to the loss of sensory and motor function below the site of injury and can be crippling to a person’s health. Spontaneous recovery can occur from plastic changes, but it is minimal. The absence of regeneration is due to the inhibitory environment of the CNS as well as the inherent inability of CNS axons to form growth cones. Amongst many factors, one of the major inhibitory signals of the CNS environment is the myelin-associated Nogo pathway. Nogo-A, Nogo-B and Nogo-C (Nogo), stimulate the Nogo receptor, inhibiting neurite outgrowth by causing growth cones to collapse through activation of Rho Kinase (ROCK). Antibodies can be used to target this signalling pathway by binding to Nogo and thus promote the outgrowth of neuronal axons in the CNS. This use of anti-Nogo antibodies has been shown to upregulate CNS regeneration as well as drastically improve sensory and motor function in both rats and primates when coupled with adequate training. Here, we evaluate whether the experimental success of anti-Nogo at improving CNS regeneration can be carried over into the clinical setting to treat spinal cord injuries (SCI) and their symptoms successfully. Furthermore, we also discuss potential methods to improve the current treatment and any developmental obstacles.
Efficient physical layer key generation technique in wireless communications
Authors: Lin Rushan , Xu Li , Fang He , Huang Chuan 
Published: January 2020

AbstractWireless communications between two devices can be protected by secret keys. However, existing key generation schemes suffer from the high bit disagreement rate and low bit generation rate. In this paper, we propose an efficient physical layer key generation scheme by exploring the Received Signal Strength (RSS) of signals. In order to reduce the high mismatch rate of the measurements and to increase the key generation rate, a pair of transmitter and receiver separately apply adaptive quantization algorithm for quantifying the measurements. Then, we implement a randomness extractor to further increase key generation rate and ensure randomness of generated of keys. Several real-world experiments are implemented to verify the effectiveness of the proposed scheme. The results show that compared with the other related schemes, our scheme performs better in bit generation rate, bit disagreement rate, and randomness.
Assessing the completeness and comparability of outcomes in systematic reviews addressing food security: protocol for a methodological study
Authors: Durão Solange , Visser Marianne , Kredo Tamara , Saldanha Ian J. 
Published: January 2020

Abstract
Background
Systematic reviews should specify all outcomes at the protocol stage. Pre-specification helps prevent outcome choice from being influenced by knowledge of included study results. Completely specified outcomes comprise five elements: (1) domain (title), (2) specific measurement (technique/instrument), (3) specific metric (data format for analysis), (4) method of aggregation (how group data are summarised), and (5) time points. This study aims to assess the completeness of outcome pre-specification in systematic reviews of interventions to improve food security, specifically food availability, in low- and middle-income countries, as well as to assess the comparability of outcome elements across reviews reporting the same outcome domains.

Methods
We will examine systematic reviews from an ongoing overview of systematic reviews, which assessed the effects of interventions addressing food insecurity through improving food production, access, or utilisation compared with no intervention or a different intervention, on nutrition outcomes. We will examine the original protocols; if unavailable, we will examine the “Methods” section of the systematic reviews’ most recent version. One investigator will identify and group all outcome domains that the authors of the included protocols intended to measure in the systematic review and a second investigator will verify the domains. For outcome domains reported in at least 25% of protocols, one author will extract data using a pre-specified form and a second author will verify the data. We will use descriptive statistics to report the number, types, and degree of specification of outcomes in included protocols. We will assess the extent of completeness of outcome pre-specification based on the number of outcome elements (out of five). We will assess comparability of outcome domains through examining how individual elements are described across SRs reporting the same outcome domains.

Discussion
Our findings will contribute to understanding about the best approach to pre-specify outcomes for systematic reviews and primary research in the field of food security.
Boundary layer expansions for initial value problems with two complex time variables
Authors: Lastra A. , Malek S. 
Published: January 2020

AbstractWe study a family of partial differential equations in the complex domain, under the action of a complex perturbation parameter ϵ. We construct inner and outer solutions of the problem and relate them to asymptotic representations via Gevrey asymptotic expansions with respect to ϵ in adequate domains. The asymptotic representation leans on the cohomological approach determined by the Ramis–Sibuya theorem.
Anomaly detection in business processes using process mining and fuzzy association rule learning
Authors: Sarno Riyanarto , Sinaga Fernandes , Sungkono Kelly Rossa 
Published: January 2020

AbstractMuch corporate organization nowadays implement enterprise resource planning (ERP) to manage their business processes. Because the processes run continuously, ERP produces a massive log of processes. Manual observation will have difficulty monitoring the enormous log, especially detecting anomalies. It needs the method that can detect anomalies in the large log. This paper proposes the integration of process mining, fuzzy multi-attribute decision making and fuzzy association rule learning to detect anomalies. Process mining analyses the conformance between recorded event logs and standard operating procedures. The fuzzy multi-attribute decision making is applied to determine the anomaly rates. Finally, the fuzzy association rule learning develops association rules that will be employed to detect anomalies. The results of our experiment showed that the accuracy of the association rule learning method was 0.975 with a minimum confidence level of 0.9 and that the accuracy of the fuzzy association rule learning method was 0.925 with a minimum confidence level of 0.3. Therefore, the fuzzy association rule learning method can detect fraud at low confidence levels.
Decreasing the execution time of reducers by revising clustering based on the futuristic greedy approach
Authors: Bakhthemmat Ali , Izadi Mohammad 
Published: January 2020

AbstractMapReduce is used within the Hadoop framework, which handles two important tasks: mapping and reducing. Data clustering in mappers and reducers can decrease the execution time, as similar data can be assigned to the same reducer with one key. Our proposed method decreases the overall execution time by clustering and lowering the number of reducers. Our proposed algorithm is composed of five phases. In the first phase, data are stored in the Hadoop structure. In the second phase, we cluster data using the MR-DBSCAN-KD method in order to determine all of the outliers and clusters. Then, the outliers are assigned to the existing clusters using the futuristic greedy method. At the end of the second phase, similar clusters are merged together. In the third phase, clusters are assigned to the reducers. Note that fewer reducers are required for this task by applying approximated load balancing between the reducers. In the fourth phase, the reducers execute their jobs in each cluster. Eventually, in the final phase, reducers return the output. Decreasing the number of reducers and revising the clustering helped reducers to perform their jobs almost simultaneously. Our research results indicate that the proposed algorithm improves the execution time by about 3.9% less than the fastest algorithm in our experiments.
Do cerebral microbleeds affect cognition in patients with symptomatic small vessel disease?
Authors: Abdullah Kholoud Mahmoud , Zakieldin Hany Mahmoud , Bayomy Iman Mohamed , Awadallah Maryse Youssef , Wahid El Din Mona Mokhtar 
Published: January 2020

AbstractBackgroundDementia and cognitive impairment are becoming increasingly a major health problem, pronounced by increased life expectancy. Cerebral small vessel disease (cSVD) is among the major causes of cognitive deterioration, yet cerebral microbleeds (CMBs) which are a common association of cSVD are still not sure to be related to cognition.Aim of the studyThe study aims to determine whether the number and localization of CMBs correlate with cognition in patients with symptomatic small vessel disease (SVD), according to Montreal Cognitive Assessment (MoCA) test.Subjects and methodsThis cross-sectional study included 85 Egyptian patients with symptomatic SVD, from the neuropsychiatry clinic of the Main Suez Hospital in Suez City, in the period between February 2017 and February 2018. Subjects were classified according to CMB presence into CMB-positive and CMB-negative groups. Both groups are assessed using MRI imaging and MoCA test for cognitive function.ResultsIn our study, CMBs recorded a high prevalence rate of SVD patients. Subjects with MBs were mainly males and significantly older, with higher white matter lesion volume and more lacunar infarcts. MoCA test detected significant impairment in visuospatial/executive function, attention, and total scores in CMB-positive group. Both frontal and parietal MBs showed independent association with visuospatial/executive impairment. Deep MBs in the basal ganglia were proved to be independent risk factor for attention affection.ConclusionNumber and localization of MBs proved to be important in determining cognitive consequences. The relations with cognitive performance were mainly driven by frontal, parietal, and deep located MBs in the basal ganglia. Memory affection in frontal MBs was dependent to severe white matter intensities and lacunes.
Caviar, soup and other dishes made of Eurasian ruffe, Gymnocephalus cernua (Linnaeus, 1758): forgotten foodstuff in central, north and west Europe and its possible revival
Authors: Svanberg Ingvar , Locker Alison 
Published: January 2020

AbstractBackgroundMany freshwater fish species that were earlier appreciated by consumers have disappeared in the central, north and west European foodways. Although they were regarded as healthy and tasty, commercially captured marine species and highly processed products have nowadays replaced these fishes. The global transformations of the food system contribute to the erosion of many local foodstuffs. Habitual tastes disappear.MethodsThe article is based on a vast amount of scattered original data found in sources such as in local ethnographical studies, fishing reports, topographic literature, zoological literature, archaeological fish reports, and cookery booksResults and discussionThis article discusses how Eurasian ruffe,Gymnocephalus cernua(L., 1758), once was used, and the reason for its disappearance, as foodstuff in some parts of Europe. Actually, it is a fish with potential for a revival as fine food. The authors discuss the chances of its rediscovery as a foodstuff, which could be used for instance within the concept of the New Nordic Cuisine and beyond. There are also environmental reasons to increase the use of local biodiversity not to mention making tastier food.ConclusionRuffe is a common species in many waters and nowadays a non-used potential food resource.
Can learning from natural image denoising be used for seismic data interpolation?
Authors: Zhang Hao , Yang Xiuyan , Ma Jianwei 
Published: January 2020

We have developed an interpolation method based on the denoising convolutional neural network (CNN) for seismic data. It provides a simple and efficient way to break through the problem of the scarcity of geophysical training labels that are often required by deep learning methods. This new method consists of two steps: (1) training a set of CNN denoisers to learn denoising from natural image noisy-clean pairs and (2) integrating the trained CNN denoisers into the project onto convex set (POCS) framework to perform seismic data interpolation. We call it the CNN-POCS method. This method alleviates the demands of seismic data that require shared similar features in the applications of end-to-end deep learning for seismic data interpolation. Additionally, the adopted method is flexible and applicable for different types of missing traces because the missing or down-sampling locations are not involved in the training step; thus, it is of a plug-and-play nature. These indicate the high generalizability of the proposed method and a reduction in the necessity of problem-specific training. The primary results of synthetic and field data show promising interpolation performances of the adopted CNN-POCS method in terms of the signal-to-noise ratio, dealiasing, and weak-feature reconstruction, in comparison with the traditional [Formula: see text]-[Formula: see text] prediction filtering, curvelet transform, and block-matching 3D filtering methods.
THERMAL BEHAVIOUR CORRELATION FOR THERMAL COLUMN IN THE NATIONAL RESEARCH UNIVERSAL (NRU) REACTOR
Authors: Azih C. , Mazhar H. , Baschuk J. , Nitheanandan T. 
Published: January 2020

The National Research Universal (NRU) reactor is a major research facility that provides a beam of slow neutrons with a minimum of gamma rays and other types of radiation for experimental purposes. The thermal column consists of 5 graphite radial sections separated with an air gap for cooling. The graphite components require continuous monitoring to ascertain that temperatures are controlled within safe margins. Wall temperatures of the graphite sections are obtained via thermocouples affixed to the column walls. The safety margins for operation of the thermal column are driven by the temperatures of the closest radial section to the reactor core (HG1). Although, most of the thermocouples in HG1 are no longer functional, the thermocouples are functional in the adjacent graphite section (HG2). This study relied on the historical data of the graphite temperatures over a few years to develop an empirical correlation that relates temperatures in HG1 to those of HG2. The correlation sets limits on the functional thermocouples in HG2 to ensure HG1 remains within the prescribed limits (149–232 °C). Correlations were developed using statistical analysis of the historical data. A control band of approximately 40 °C for HG2 with confidence levels of 68% and 95%, respectively, were established.
An exploration of reasons why some women may leave the birth experience with emotional distress
Authors: Baxter Jackie 
Published: January 2020

BackgroundFollowing birth, some women report negative and traumatic feelings. There is relatively little research on women's perceptions of these emotions. It is important to understand why some women experience distress following labour. The work presented in this paper focuses on one aspect of a wider mixed methods research study.AimsTo explore reasons why some women may leave the birth experience with emotional distress.MethodA descriptive qualitative approach was used. A total of 16 semi-structured, qualitative interviews were undertaken. These were with women following birth, some of whom had attended a local birth reflections service. Thematic analysis was performed using typewritten transcripts.FindingsThree key themes were identified which illuminated the topic of women's subjective distress: ‘giving birth as traumatic/horrific’, ‘lasting emotions linked to the birth process’ and ‘the impact of the health professional on women's experiences of giving birth’. As well as identifying how women are feeling following birth, this study has also highlighted how midwives can affect women's birth experience. It seems that trauma relating to the birth event may be mediated by professional behaviours and how supportive they are.ConclusionLack of support by care professionals was a key factor associated with a negative birth experience. Maternity services and education providers need to ensure optimal training for all healthcare professionals who provide care to women during labour and birth.