Miracle-dz/UniFAR-FTUs huggingface dataset:
BDN NSLS-II Project Status: How to Recycle a Synchrotron?

With many synchrotron facilities retiring or going through upgrades, what is the future of some of the stateof-the-art equipment and the beamlines built for a specific science at these older facilities? Can the past investments continue supporting the current scientific mission? The Beamlines Developed by NSLS-II (BDN), former NxtGen project, are reusing scientifically valuable equipment recovered from the now shuttered NSLS. For example TES(8-BM) reported 2um x 3um beam size achieved with reclaimed KB mirrors [1]. This paper describes new, reused, adapted and modified instruments, which NSLS beamlines they came from, as well as their integration into the new NSLS-II control system. Many popular NSLS programs and custom-built equipment developed for them are welcoming old and new users in NSLS-II. INRODUCTION Every facility puts efforts into minimize maintenance by standardizing common infrastructure and utilities. All BDN beamlines received the following new standardized equipment: photon shutters, vacuum gauges and controllers, Beam Intensity (BI) Monitoring equipment, CCDs and surveillance cameras, network and computing infrastructure, Personnel Protection System (PPS) and Equipment Protection System (EPS). Most of the beamlines received new optic for the mirrors, while reusing vacuum chambers and motorized positioning systems. Some mirrors were reused, as well as end station equipment. Fig. 1 shows X15B instruments being moved to NSLS2. BDN is home for instruments developed by scientific non-commercial groups. CMS(11-BM), TES(8-BM), and XFM (4-BM) use KB-mirrors, designed by the Center for Advanced Radiation Sources (CARS) at the University of Chicago [1]. In-house developed electrometer by P. Siddons was used in many beam diagnostic solutions at all BDN beamlines. This design is now sold commercially [2]. All beamlines reused ion pumps and ion pump controllers, gate valves, bellows, viewports and more, wherever it was suitable, with some beamlines building mostly from recovered components. ____________________________________________ * This research used resources of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under Contract No. DE-SC0012704. " 16th Int. Conf. on Accelerator and Large Experimental Control Systems ICALEPCS2017, Barcelona, Spain JACoW Publishing ISBN: 978-3-95450-193-9 doi:10.18429/JACoW-ICALEPCS2017-TUPHA003 Systems Engineering, Collaborations and Project Management TUPHA003 365 Co nt en tf ro m th is w or k m ay be us ed un de rt he te rm so ft he CC BY 3. 0 lic en ce (© 20 17 ). A ny di str ib ut io n of th is w or k m us tm ai nt ai n at tri bu tio n to th e au th or (s ), tit le of th e w or k, pu bl ish er ,a nd D O I.
Dataset from Martin, A, Gremse, C, Selhorst, T, Bandick, N, Müller-Graf, C, Greiner, M, Lahrssen-Wiederholt, M. 2017 Hunting of roe deer and wild boar in Germany: Is non-lead ammunition suitable for hunting? Plos One

The data are part of the research project on the topic “Safety of game meat obtained through hunting (LEMISI)”. On behalf of the Federal Ministry of Food and Agriculture (BMEL), the Federal Institute for Risk Assessment (BfR) collected the data jointly with the responsible authorities of the Federal States of Saxony-Anhalt, Mecklenburg-Western Pomerania, Lower Saxony, Hesse and Bavaria. The project was supported by various institutions such as the German Hunting Association (DJV), the Bavarian Hunting Association (BJV), the Association of German Professional Hunters (BDB), the European Poultry, Egg and Game Wholesale and Import Society (EPEGA), the Federation of Hunting and Sport Weapon and Ammunition Manufacturers (JSM) and the University for Sustainable Development (HNEE). This data set includes detailed records on the killing of roe deer and wild boar during hunting- in order to determine the influencing factors of the length of the escape distance. The primary aim was to test whether the length of the escape distance of this both species is independent of the bullet material (lead or non-lead ammunition).
Road Network Pre-partitioning Method with Priority for Congestion Control

Urban traffic congestion seriously affects the traffic efficiency, causing travel delays and resources wasted directly. In this paper, a road network pre-partitioning method with priority for congestion control is proposed to reduce traffic congestion. Traffic flow feature is extracted based on CNN, and the estimated accuracy of intersection reach 95.32% through CNN-SVM model. Subarea congestion coefficient and intersection merger coefficient are defined to expand the control area of congestion coordination. The association and similarity of intersections are considered using spectral clustering for non-congested intersection partitioning. The results show that the congestion priority control partition method reduces a congestion intersection compared to directly using spectral clustering for subarea partition, and reduces the road network congestion coefficient by 0.05 after 30 minutes than directly using spectral clustering, which is an effective subarea partition method.
The Analysis of Proprioception Alteration during First Five Months after Anterior Cruciate Ligament Reconstruction

Research background and hypothesis. Proprioception is important in the prevention of injuries as reduced proprioception is one of the factors contributing to injury in the knee joint, particularly the ACL. Therefore, proprioception appears not only important for the prevention of ACL injuries, but also for regaining full function after ACL reconstruction.Research aim. The aim of this study was to understand how proprioception is recovered four and five months after anterior cruciate ligament (ACL) reconstruction.Research methods. The study included 15 male subjects (age – 33.7 ± 2.49 years) who had undergone unilateral ACL reconstruction with a semitendinosus/gracilis (STG) graft in Kaunas Clinical Hospital. For proprioceptive assessment, joint position sense (JPS) was measured on both legs using an isokinetic dynamometer (Biodex), at knee flexion of 60° and 70°, and at different knee angular velocities of 2°/s and 10°/s. The patients were assessed preoperatively and after 4 and 5 months, postoperatively.Research results. Our study has shown that the JPS’s (joint position sense) error scores to a controlled active movement is significantly higher in injured ACL-deficient knee than in the contralateral knee (normal knee) before surgery and after four and five months of rehabilitation. After 4 and 5 months of rehabilitation we found significantly lower values in injured knees compared to the preoperative data. Our study has shown that in injured knee active angle reproduction errors after 4 and 5 months of rehabilitation were higher compared with the ones of the uninjured knee. Proprioceptive ability on the both legs was independent of all differences angles for target and starting position for movement. The knee joint position sense on both legs depends upon the rate of two different angular velocities and the mean active angle reproduction errors at the test of angular velocity slow speed was the highest compared with the fast angular velocity. Discussion and conclusions. In conclusion, our study shows that there was improvement in mean JPS 4 and 5 months after ACL reconstruction, but it did not return to normal indices.Keywords: knee joint, joint position sense, angular velocity, starting position for movement.
Analyses of Students’ Vocational Data Using Some Selected Classification Algorithms

Unemployment is a major issue battling the Nigerian economy. Today‘s trend is shifting towards skills acquisition rather than on certificate qualification which are capable of making the youths self-dependent, job creators and not job seekers (Okolocha,2012). The management of The Polytechnic, Ibadan, Nigeria is working tirelessly to ensure that each student learns a vocational skill to prepare them for entry into the labour market (Adebayo, 2016). In this study, data mining techniques were used to analyze students’ vocational data of The Polytechnic, Ibadan in Nigeria to discover patterns and relationships that will help the school management to make important decisions and plan better for more productive execution of their vocational skills programme. Experiments were performed using ID3, C4.5 and Naïve Bayes classification algorithms to build models under WEKA 3.8. 2 environment. Hold-out method and 10 folds cross-validation method were used to test the models. Confusion matrix was used to evaluate the performance of the models on the basis of accuracy, sensitivity and time taken to build the models and it was discovered the C4.5 algorithm gave the best performance with both validation techniques.
The Experience of Illness. By R. Fizpatrick, J. Hinton, S. Newman, G. Scambler and J. Thompson. (Pp. 292; £7.95 pb.) Tavistock: London. 1984

followed by specific details of the treatment approach, and ending with a discussion of case examples chosen to highlight treatment issues. The chapter on the operant approach makes the useful distinctions of providing a treatment for excess disability rather than treatment for pain. The concept of excess disability highlights the major problem of people with chronic pain, namely that they are often more functionally disabled than is necessary. If clinicians take their main goal as improvement in chronic pain, it is difficult to tailor treatments to this goal, and such treatments are often unsuccessful. However, if the clinician aims to improve social functioning, it is much easier to design appropriate treatment programmes to do this, and improvement in discomfort follows as the patient devotes less attention to the pain, and receives positive social rewards contingent on the increasing activity. Useful ways of engaging the patient's and relatives' cooperation are discussed, and an example of a contract between treatment team and patient is presented. The chapters on behaviour therapy, psychotherapy, family therapy, social skills training, biofeedback and hypnosis are all well referenced, and my own team has found it possible to introduce many of the principles into a multidisciplinary framework. The final chapters consider the management of paediatric pain, cancer pain and chronic headaches. In general, the editors' objective of providing a close look at the mechanics of psychological treatment for chronic pain is amply fulfilled. The collected chapters are very strong on technical details, the nuts and bolts of treatment, and incorporate many useful clinical strategies. An overall weakness is the lack of attention paid to the long-term follow up. Some patients often need help for many years, and the dilemma of evolving useful management plans over that period of time remains to be resolved. A further weakness is the lack of attention paid to the role of the professional network in exacerbating and maintaining chronic pain, and how a pain management team can start to disentangle this. The editors acknowledge the relative lack of empirical research on multidisciplinary pain management, the indications for each component in the programme, and the rationale for adjusting the relative balance between the different components. I have found this a most useful book in my own clinical practice and I recommend it highly to practitioners of all disciplines who work with patients with chronic pain.
Maternal Lifestyle and Behavioral Factors Affect Risk of Spontaneous Preterm Birth

Aim of study: The study was carried out to evaluate maternal lifestyle and behavioral factors affecting the risk of spontaneous PTB. Methods: A descriptive study design was done in the postnatal ward of the Obstetrics Department at Zagazig University Hospital, Zagazig City, Al Sharkia Governorate. The sample of 200 women was assigned to two groups selected through the purposive sampling method from January to September 2017. The questionnaire was designed to collect background data of women. Also, lifestyle and behavioral features of women during pregnancy period. Results: The results of the current study showed that, there were no statistically significant differences between the two groups according to their socio-demographic characteristics group (P > 0.05). However, there was a significant relation between spontaneous preterm birth and inadequate antenatal care, short inter-pregnancy interval, and lifestyle factors (P<0.001). Moreover, serious life events and vital exhaustion during their pregnancy were significant risk factors for spontaneous preterm birth. Conclusion: There is a statistically significant relationship between inter-pregnancy intervals (less than 12 months) and increased risk of spontaneous PTB. As well as, stresses of heavy and night working associated with the risk of PTB. Serious lifestyle events for pregnant women contribute to a significant increase in the risk of PTB, where Short sleep duration or prolonged, and vital exhaustion were highly associated with an increased risk of spontaneous PTB.
Explaining ADVA and TAADAV: Risk factors and correlates

While research regarding the correlates and risk factors of Adolescent Dating Violence and Abuse (ADVA) has been established, less research has explored what factors that might be associated with adolescents’ involvement in Technology-Assisted Adolescent Dating Violence and Abuse (TAADVA). This paper therefore reviews the literature to have reported on risk factors for ADVA and correlates of TAADVA in order to assess the current state of this knowledge base and look for similarities and differences between factors identified. A range of factors were identified that were important in ADVA and TAADVA victimisation and/or instigation and these are considered in terms of the level of theory that they can support in terms of their ability to explain ADVA and TAADVA, in addition to where they sit within an ecological framework. Due to research on TAADVA being relatively recent in comparison to ADVA, only correlates were identified in studies investigating associated factors whereas longitudinal risk factors have been well established with regard to ADVA that has been researched more extensively. Future research should attempt to standardise measures of risk factors and correlates in order to make comparisons more accurate and move research forward by developing a comprehensive theory of ADVA and TAADVA.
The new marker YKL-40, a molecule related to inflammation, is associated with cardiovascular events in stable haemodialysis patients

Abstract Background YKL-40 is a glycoprotein associated with inflammatory conditions, including atherosclerosis and endothelial dysfunction. The objective was to analyse serum YKL-40 levels in a haemodialysis population and explore their association with dialysis dosing measures, inflammation, body composition and development of cardiovascular (CV) events. Methods We performed a prospective study of 78 chronic haemodialysis patients enrolled in 2013 and followed up until 2018. At baseline, serum YKL-40, inflammatory and nutrition markers and body composition were assessed. During a median follow-up of 43 (interquartile range 24–66) months, CV events were recorded. Results The mean age of patients was 62 ± 16 years and 66% were men. The mean YKL-40 was 207 ± 106 ng/dL. Higher YKL-40 levels were associated with lower Kt/Vurea, convective volume, serum albumin and prealbumin and with higher troponin T. During follow-up, 50% developed CV events. Cox analysis showed an association between CV events and YKL-40, diabetes, hypertension, C-reactive protein, lower prealbumin, β2-microglobulin, glycosylated haemoglobin and troponin T values. The multivariate Cox analysis confirmed an independent association between CV events and YKL-40 {hazard ratio [HR] 1.067 [95% confidence interval (CI) 1.009–1.211]; P: 0.042}, troponin T [HR 1.037 (95% CI 1.009–1.683); P: 0.007], lower prealbumin [HR 0.827 (95% CI 0.224–0.988); P: 0.009] and diabetes [HR 2.103 (95% CI 1.554–3.172); P: 0.008]. Kaplan–Meier confirmed the association between CV events and YKL-40 (log rank 7.28; P = 0.007). Conclusions YKL-40 is associated with CV events in haemodialysis patients. Higher dialysis dose and convective volume are associated with lower serum YKL-40 levels.
Avaliação comparativa de modelos hidrodinâmicos para previsão de inundações: um estudo de caso do município de Getúlio Vargas-RS

Os eventos de inundacao podem causar diversos danos em um local, portanto demarcar locais sujeitos a inundacao constitui uma atividade essencial para o planejamento e gerenciamento do uso do solo. Alem disso, os modelos hidrodinâmicos tambem podem ser aplicados para o mapeamento nao somente de profundidades, mas tambem de velocidades e direcoes de fluxo. Com o acelerado desenvolvimento e acesso aos softwares de modelos hidrodinâmicos, a atividade tem se tornado constante em projetos e estudos. Diante de uma expressiva oferta de softwares com diferentes metodos e discretizacoes espaciais se impoe a necessidade de comparacao e avaliacao destes softwares. Desta forma, este estudo tem como objetivo analisar o desempenho e as incertezas na modelagem hidrodinâmica de inundacoes de tres dos principais softwares disponiveis na atualidade, HEC-RAS, FLO-2D, e Iber e mapear as possiveis zonas inundaveis. A area de estudo compreende o municipio de Getulio Vargas-RS, que sofre com inundacoes, com ocorrencias recentes em maio de 2017, outubro de 2016, julho de 2015, junho de 2014, novembro de 2013 e uma enchente historica em maio de 1992 onde a populacao ribeirinha sofreu perdas com o evento. Para alcancar este objetivo a metodologia foi composta por: 1) visitas a campo para a area de estudo; 2) mapeamento da area de estudo com um Veiculo Aereo Nao Tripulado (VANT) e construcao de um Modelo Digital de Elevacao (MDE), 3) regionalizacao das vazoes para o local de estudo, a partir de dados de estacoes fluviometricas, 4) avaliacao de sensibilidade aos parâmetros de entrada e avaliacao da estabilidade numerica devido as condicoes iniciais e parâmetros, 5) simulacoes de inundacoes para diferentes tempos de retorno, e 6) mapeamento de areas de risco. Foi possivel obter um MDE com grau de precisao de 0,34 m e vazoes para area de estudo referentes a determinados tempos de retorno. Atraves da avaliacao verificou-se que o HEC-RAS possui melhor operacionalizacao e performance. Constatou-se que passos de tempo com mais de 10 segundos causavam instabilidade numerica, bem como grids com tamanho maior que 25 metros. Geraram-se mapas para os diferentes tempos de retorno de cheias para cada modelo hidrodinâmico e verificou-se que eles condizem com dados observados do nivel de agua durante eventos de inundacao. O mapeamento das areas de perigo e outro resultado gerado, onde foi possivel verificar que as areas proximas ao canal possuem nivel de perigo alto, enquanto que regioes vicinais possuem indices medios e baixos.
Syndromic surveillance of potentially epidemic infectious diseases: Detection of a measles epidemic in two health centers in Gabon, Central Africa

Measles is a respiratory disease caused by the measles virus (MV) belonging to the Paramyxovirus family and the Morbillivirus genus. Due to a failure in maintaining immunization coverage in some countries, measles is a re-emerging disease in the human population, especially in Africa. The aim of this study was to describe a measles epidemic in Gabon. At first, a syndromic surveillance was set up. Blood samples from febrile patients with maculopapular rash were taken and sent to the measles reference center in Cameroon for laboratory confirmation. Between March and May 2016, 79 clinically suspected cases were reported including 82.3% (n=65) and 17.7% (n=14) in Oyem and Libreville, respectively. In total, 39.2% (n=31) of children were 11 months-old, 34.2% (n=27) were children aged 1 to 4 years, 11.4% (n=9) were older children from 5 to 9 years, 6.3% (n=5) of children were aged 10 to 15 years and 8.9% (n=7) were 15 years and older. 53.3% (16/30) were laboratory confirmed. This measles outbreak reiterates the importance of maintaining a high level of vaccine coverage in Gabon for vaccine-preventable diseases, as well as the usefulness of a near-real-time surveillance system for the detection of infectious diseases.
Utilization of Peanut (Arachis hypogaea) Hull Based Activated Carbon for the Removal of Amaranth Dye from Aqueous Solutions

This research work is concerned with the investigation of removing amaranth foodstuff dye on activated carbon derived from peanut hulls (ACPH) as a low-cost adsorbent. The influence of different reaction parameters affecting dye uptake including pH, shaking speed, particle size, temperature, initial dye concentration, and contact time were investigated for proper selection of the optimized parameters for the removal process. By using ACPH, 76.92 mg/g adsorption capacity was achieved under agitation time of 90 min at pH 4 and temperature 60°C. Results clearly demonstrate that experimental equilibrium data were fitted to Langmuir isotherm to a greater extent than Freundlich isotherm. Kinetics of amaranth dye on peanut hulls was found to follow pseudo-second-order kinetics. Results indicated that ACPH is a good adsorbent for removing amaranth dye from wastewater.
Use of big data in drug development for precision medicine: an update

ABSTRACT Introduction: Big-data-driven drug development resources and methodologies have been evolving with ever-expanding data from large-scale biological experiments, clinical trials, and medical records from participants in data collection initiatives. The enrichment of biological- and clinical-context-specific large-scale data has enabled computational inference more relevant to real-world biomedical research, particularly identification of therapeutic targets and drugs for specific diseases and clinical scenarios. Areas covered: Here, we overview recent progresses made in the fields: new big-data-driven approach to therapeutic target discovery, candidate drug prioritization, inference of clinical toxicity, and machine-learning methods in drug discovery. Expert opinion: In the near future, much larger volumes and complex datasets for precision medicine will be generated, e.g. individual and longitudinal multi-omic, and direct-to-consumer datasets. Closer collaborations between experts with different backgrounds would also be required to better translate analytic results into prognosis and treatment in the clinical practice. Meanwhile, cloud computing with protected patient privacy would become more routine analytic practice to fill the gaps within data integration along with the advent of big data. To conclude, integration of multitudes of data generated for each individual along with techniques tailored for big-data analytics may eventually enable us to achieve precision medicine.