bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of and Early Outcomes From Anal Cancer Screening at a Community-Engaged Health Care Facility Providing Care to Nigerian Men Who Have Sex With Men
Authors: Nowak Rebecca G. , Ndembi Nicaise , Dauda Wuese , Jibrin Paul , Bentzen Søren M. , Nnaji Chinedu H. , Olaomi Oluwole , Darragh Teresa M. , Madukwe Jonathan , Crowell Trevor A. , Baral Stefan D. , Blattner William A. , Charurat Manhattan E. , Palefsky Joel M. , Cullen Kevin J. ,   on behalf of the TRUST/RV368 Study Group
Published: July 2019

PURPOSEAnal cancer risk is substantially higher among HIV-infected men who have sex with men (MSM) as compared with other reproductive-age adults, but screening is rare across sub-Saharan Africa. We report the use of high-resolution anoscopy (HRA) as a first-line screening tool and the resulting early outcomes among MSM in Abuja, Nigeria.METHODSFrom August 2016 to August 2017, 424 MSM enrolled in an anal cancer screening substudy of TRUST/RV368, a combined HIV prevention and treatment cohort. HRA-directed biopsies were diagnosed by histology, and ablative treatment was offered for high-grade squamous intraepithelial lesions (HSIL). HRA proficiency was assessed by evaluating the detection of squamous intraepithelial lesions (SIL) over time and the proportion biopsied. Prevalence estimates of low-grade squamous intraepithelial lesions and HSIL with 95% CIs were calculated. Multinomial logistic regression was used to identify those at the highest risk of SIL.RESULTSMedian age was 25 years (interquartile range [IQR], 22-29), median time since sexual debut was 8 years (IQR, 4-12), and 59% (95% CI, 54.2% to 63.6%) were HIV infected. Rate of detection of any SIL stabilized after 200 screenings, and less than 20% had two or more biopsies. Preliminary prevalence estimates of low-grade squamous intraepithelial lesions and HSIL were 50.0% (95% CI, 44.7% to 55.3%) and 6.3% (95% CI, 4.0% to 9.3%). HIV infection, at least 8 years since anal coital debut, concurrency, and external warts were independently statistically associated with SIL.CONCLUSIONProficiency with HRA increased with experience over time. However, HSIL detection rates were low, potentially affected by obstructed views from internal warts and low biopsy rates, highlighting the need for ongoing evaluation and mentoring to validate this finding. HRA is a feasible first-line screening tool at an MSM-friendly health care facility. Years since anal coital debut and external warts could prioritize screening.
Retinoblastoma protein represses E2F3 to maintain Sertoli cell quiescence in mouse testis
Authors: Rotgers Emmi , Cisneros-Montalvo Sheyla , Nurmio Mirja , Toppari Jorma 
Published: July 2019

ABSTRACT
Maintenance of the differentiated state and cell cycle exit in adult Sertoli cells depends on tumor suppressor retinoblastoma protein (RB, also known as RB1). We have previously shown that RB interacts with transcription factor E2F3 in the mouse testis. Here, we investigated how E2f3 contributes to adult Sertoli cell proliferation in a mouse model of Sertoli cell-specific knockout of Rb by crossing these mice with an E2f3 knockout mouse line. In the presence of intact RB, E2f3 was redundant in Sertoli cells. However, in the absence of RB, E2f3 is a key driver for cell cycle re-entry and loss of function in adult Sertoli cells. Knockout of E2f3 in Sertoli cells rescued the breakdown of Sertoli cell function associated with Rb loss, prevented proliferation of adult Sertoli cells and restored fertility of the mice. In summary, our results show that RB-mediated repression of E2F3 is critical for the maintenance of cell cycle exit and terminal differentiation in adult mouse Sertoli cells.
Insight into the Origin of Competitive Emission of Copper(I) Complexes Bearing Diimine and Diphosphine Ligands
Authors: Yanagida Sae , Yoshida Masaki , Sameera W M C , Kobayashi Atsushi , Kato Masako 
Published: July 2019

Abstract
The photophysical properties of three luminescent Cu(I) complexes, [Cu(dmp)(xantphos)]+ (Cu-1; dmp = 2,9-dimethyl-1,10-phenanthroline, xantphos = 4,5-bis(diphenylphosphino)-9,9-dimethylxanthene), [Cu2(dmp)2(µ-dppa)2]2+ (Cu-2; dppa = bis(diphenylphosphino)acetylene), and [Cu2(Ph2dmp)2(µ-dppa)2]2+ (Cu-2ph; Ph2dmp = 2,9-dimethyl-4,7-diphenyl-1,10-phenanthroline), were investigated. The luminescence of Cu-1 at room temperature was assigned to the thermally activated delayed fluorescence (TADF) from the singlet metal-to-ligand charge transfer (1MLCT) excited state. However, the emission of Cu-2 and Cu-2ph exhibited lower radiative rate constants than Cu-1 at room temperature, which can be assigned to phosphorescence from the triplet metal-to-ligand charge transfer (3MLCT) excited state at room temperature. In addition, emission of Cu-2 and Cu-2ph at 77 K indicated significant contributions of the 3ππ* excited state. Theoretical calculations suggested that the energy difference between the optimized S1 and T1 states of Cu-1 is relatively smaller than that of Cu-2. As a result, Cu-1 shows TADF and Cu-2 shows phosphorescence.
Safe and effective delivery of supplemental iron to healthy older adults: The double-blind, randomized, placebo-controlled trial protocol of the Safe Iron Study
Authors: Lewis Erin D. , Wu Dayong , Mason Joel B. , Chishti Athar H. , Leong John M. , Barger Kathryn , Meydani Simin N. , Combs Gerald F. 
Published: July 2019

The forms of iron currently available to correct iron deficiency have adverse effects, including infectious diarrhea, increased susceptibility to malaria, inflammation and detrimental changes to the gut microbiome. These adverse effects limit their use such that the growing burden of iron deficiency has not abated in recent decades. Here, we summarize the protocol of the “Safe Iron Study”, the first clinical study examining the safety and efficacy of novel forms of iron in healthy, iron-replete adults. The Safe Iron Study is a double-blind, randomized, placebo-controlled trial conducted in Boston, MA, USA. This study compares ferrous sulfate heptahydrate (FeSO4·H2O) with two novel forms of iron supplements (iron hydroxide adipate tartrate (IHAT) and organic fungal iron metabolite (Aspiron™ Natural Koji Iron)). In Phase I, we will compare each source of iron administrated at a low dose (60 mg Fe/day). We will also determine the effect of FeSO4 co-administrated with a multiple micronutrient powder and weekly administration of FeSO4. The forms of iron found to produce no adverse effects or adverse effects no greater than FeSO4 in Phase I, Phase II will evaluate a higher, i.e., a therapeutic dose (120 mg Fe/day). The primary outcomes of this study include ex vivo malaria (Plasmodium falciparum) infectivity of host erythrocytes, ex vivo bacterial proliferation (of selected species) in presence of host plasma and intestinal inflammation assessed by fecal calprotectin. This study will test the hypotheses that the novel forms of iron, administered at equivalent doses to FeSO4, will produce similar increases in iron status in iron-replete subjects, yet lower increases in ex vivo malaria infectivity, ex vivo bacterial proliferation, gut inflammation. Ultimately, this study seeks to contribute to development of safe and effective forms of supplemental iron to address the global burden of iron deficiency and anemia. Registration: ClinicalTrials.gov identifier: NCT03212677; registered: 11 July 2017.
Improving palliative and end-of-life care with machine learning and routine data: a rapid review
Authors: Storick Virginia , O’Herlihy Aoife , Abdelhafeez Sarah , Ahmed Rakesh , May Peter 
Published: July 2019

Introduction: Improving end-of-life (EOL) care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately for costs. In clinical practice, physician judgement is the core method of identifying EOL care needs but has important limitations. Machine learning (ML) is a subset of artificial intelligence advancing capacity to identify patterns and make predictions using large datasets. ML approaches have the potential to improve clinical decision-making and policy design, but there has been no systematic assembly of current evidence. Methods: We conducted a rapid review, searching systematically seven databases from inception to December 31st, 2018: EMBASE, MEDLINE, Cochrane Library, PsycINFO, WOS, SCOPUS and ECONLIT. We included peer-reviewed studies that used ML approaches on routine data to improve palliative and EOL care for adults. Our specified outcomes were survival, quality of life (QoL), place of death, costs, and receipt of high-intensity treatment near end of life. We did not search grey literature and excluded material that was not a peer-reviewed article. Results: The database search identified 426 citations. We discarded 162 duplicates and screened 264 unique title/abstracts, of which 22 were forwarded for full text review. Three papers were included, 18 papers were excluded and one full text was sought but unobtainable. One paper predicted six-month mortality, one paper predicted 12-month mortality and one paper cross-referenced predicted 12-month mortality with healthcare spending. ML-informed models outperformed logistic regression in predicting mortality but poor prognosis is a weak driver of costs. Models using only routine administrative data had limited benefit from ML methods. Conclusion: While ML can in principle help to identify those at risk of adverse outcomes and inappropriate treatment near EOL, applications to policy and practice are formative. Future research must not only expand scope to other outcomes and longer timeframes, but also engage with individual preferences and ethical challenges.
Exploring the Relationship and Labels Attached by Students: How Classroom Management Styles in a Philippine Higher Education Institution Prevail?
Authors: Jr. Gilbert C.  Magulod , Capili Juvelyn D. , Pinon Roselyn M. 
Published: July 2019

<p style="text-align:justify">This paper endeavors to ascertain the prevailing classroom management styles of instructors as well as the prevailing instructor-student relationship in a Philippine higher education institution. It employed mixed methods of quantitative and qualitative methods of research to investigate the line of inquiry. A total of thirty faculty members and three-hundred students sampled from the population were the sources of data for the quantitative component of the study while eighteen students were selected as informants for the FGD to gather qualitative data. Findings showed that a great deal of authoritative classroom management style is being adhered by instructors while the students manifested a moderate level of connectedness and anxiety towards the classroom management styles of their instructors. Variables such as civil status, years of teaching experience, and level of educational attainment spelled differences on the classroom management styles instructors. It was uncovered that the different classroom management styles of instructors were attached with positive and negative labels and typifications. Implications of this study will serve as a reference to better prepare classroom managers of 21st-century college classrooms.</p>
A importância social e simbólica do mito
Authors: Saldanha Ana Maria 
Published: July 2019

O mito corresponde à narração de um tempo passado original, precursor de todos os tempos, nos quais poderemos encontrar os modelos e exemplos que determinam e dão sentido à vida. Tendo acompanhado o Homem desde os primórdios da humanidade, o mito encontra-se enraizado nos comportamentos humanos, explicando simbolicamente factos humanos e naturais. No seguimento de um trabalho anterior, no qual procuramos compreender ontologicamente quer a função social do mito, quer o estabelecimento da mitologia como ciência, pretendemos, desta feita, compreender a importância social e simbólica do mito, desde que se estabeleceu como ciência, até à atualidade.
Palavras-chave: Mito. Mitologia. Imaginário social. Representações simbólicas. Sociedades humanas
Adaptation of the Land Use System as One of the Main Paradigms of the Modern Agricultural Land Use
Authors: Mikhailovich Rogatnev Yuri , Nikolaevna Scherba Valentina , Vladimirovna Marakaeva Tatyana , Viktorovna Nozhenko Tatyana , Alexandrovna Kapitulina Natalia 
Published: July 2019

The article reveals one of the main paradigms for the agricultural land use development. Adaptation is not only a necessity, but a means to improve sustainability and efficiency in the use of agricultural land. The conditions of external systems that determine the direction and magnitude of adaptation options for agricultural land use have also been shown. The features of adaptation of the basic land use elements have been described: land plots, legal status, engineering equipment of the territory, land use system, and land use maintenance system. The article provides a more detailed overview of the adaptation of the main land use system element (agriculture), which will ensure the adaptation of crops and their varieties to the features of soils and terrain; the adaptation of cultivation technologies to the soil and terrain, the features of the territory; the adaptation of fertilizer systems to soils and crops and their varieties; the adaptation of cultivation technologies to the actual technical equipment; the adaptation of the farming system to the actual financial condition; and the adaptation of the farming system to the natural conditions of the year. A monographic description of the land use adaptation experiment by Chistoe, LLC in the Tyukalinsky District of the Omsk Region has been produced. Mutual adaptation of both land management and its technical and technological components has been proposed for the agricultural land development project. It is expected that this will minimize the required financial costs by adapting land properties, reducing types of machines and the technologies used.
Neural Processing of Other-Race Faces as a Function of Racial Familiarity: A P300 Study
Authors: Yan Shan Tai , Reza Faruque , Begum Tahamina , Yusoff Nasir 
Published: July 2019

Background: The other-race categorisation advantage (ORCA) is a well-established phenomenon, whereby other-race faces are categorised faster than own race faces. Objectives: This study investigated whether extraverts would demonstrate an ORCA-like effect toward unfamiliar other-race faces and familiar other-race faces in a modified oddball and choice reaction paradigm. Methods: This event-related potential (ERP) study employed a repeated measures experimental design with one independent variable (racial familiarity) and three levels (familiar other-race/Malay faces, unfamiliar other-race/African faces, control group/furniture photos). In the oddball task, African faces and Malay faces were the target stimuli and furniture photos were the standard stimuli. Electroencephalography data (EEG) was collected during the oddball task, from which ERP components were derived. Results: The reaction time (RT) for African and Malay faces were not significantly different. Significant effect of racial familiarity on P300 latencies at all electrode sites was not observed. However, there was a significant effect of racial familiarity on P300 amplitudes at midline electrodes (Cz). It was also observed that the P300 amplitude was larger for African faces than Malay faces at midline electrodes (Cz). Conclusion: An ORCA-like effect was not found in categorisation tasks involving faces from a familiar and an unfamiliar other-race, but a larger P300 amplitude was evoked by African faces. This dissociation between RT and P300 amplitude provided important theoretical implications with regard to models associated with ORCA. Specifically, the current findings lent support to the social cognition model and the Categorisation-Individuation Model (CIM).
Increasing T-Method Accuracy Through Application of Robust M-Estimatior
Authors: Harudin N , K R Jamaludin , Nabil Muhtazaruddin M , F Ramlie , H Ismail S , Zuki Azman Wan Muhamad Wan , N Jaafar N 
Published: July 2019

Mahalanobis Taguchi System is an analytical tool involving classification, clustering as well as prediction techniques. T-Method which is part of it is a multivariate analysis technique designed mainly for prediction and optimization purposes. The good things about T-Method is that prediction is always possible even with limited sample size. In applying T-Method, the analyst is advised to clearly understand the trend and states of the data population since this method is good in dealing with limited sample size data but for higher samples or extremely high samples data it might have more things to ponder. T-Method is not being mentioned robust to the effect of outliers within it, so dealing with high sample data will put the prediction accuracy at risk. By incorporating outliers in overall data analysis, it may contribute to a non-normality state beside the entire classical methods breakdown. Considering the risk towards lower prediction accuracy, it is important to consider the risk of lower accuracy for the individual estimates so that the overall prediction accuracy will be increased. Dealing with that intention, there exist several robust parameters estimates such as M-estimator, that able to give good results even with the data contain or may not contain outliers in it. Generalized inverse regression estimator (GIR) also been used in this research as well as Ordinary Lease Square Method (OLS) as part of comparison study. Embedding these methods into T-Method individual estimates conditionally helps in enhancing the accuracy of the T-Method while analyzing the robustness of T-method itself. However, from the 3 main case studies been used within this analysis, it shows that T-Method contributed to a better and acceptable performance with error percentages range 2.5% ~ 22.8% between all cases compared to other methods. M-estimator is proved to be sensitive with data consist of leverage point in x-axis as well as data with limited sample size. Referring to these 3 case studies only, it can be concluded that robust M-estimator is not feasible to be applied into T-Method as of now. Further enhance analysis is needed to encounter issues such as Airfoil noise case study data which T -method contributed to highest error% prediction. Hence further analysis need to be done for better result review.
A Speed Control of DC Motor with PWM Using Microcontroller in Hardware in Loop
Authors: Reeba Rex S , Synthia Regis Praba2 Mary ` 
Published: July 2019

This paper presents an implementation of a microcontroller based boost converter to maintain constant speed of a DC motor. The optimised values namely kp,ki,kd of the Boost Converter are taken from firefly algorithm[10] and implemented using microcontroller. Pulse width modulation (PWM) is a procedure to generate changeable pulse width with different duty cycle. The PWM signal reduces the switching losses. This paper presents a DC motor speed controller where PID Controller is used where the optimized values of kp,ki,kd are taken from firefly algorithm[10]. The PWM pulse width will alter the speed of the motor. The motor voltage and revolutions per seconds (RPS) obtained at different duty cycle rates. With increase in duty cycle, further voltage is applied to the motor. This gives stronger magnetic flux in the armature windings and to enhance revolutions per seconds. The characteristics and concert of the DC motor speed control system was discussed. In this paper, a PIC microcontroller is designed with a DC-DC boost converter for the motor speed controller system. Finally to improve the graphical result we design the hardware in loop method using matlab.
Indexing Based Feature Selection by Applying Ant Colony Optimization Method for Improving Web Page Classification
Authors: M. James Raj1 A , Sagayaraj Francis F 
Published: July 2019

In this information age many research work are carried out in web page classification to acquire the relevant and appropriate information. To be more specific, for enhancing the web page classification to obtain the optimized feature sets are chosen by utilizing the evolutionary algorithms. Normally, these algorithms are designed by the heuristic principles stimulated by natural evolution. After analyzing the significance of the various evolutionary algorithms deployed by several researchers in this domain so far, this work also intended to apply them to acquire the best solutions (enhanced features). In general, applying the evolutionary algorithms the fittest genes are generated and determined by the fitness function. Once the fittest genes are decided picking up the fittest individual genomes from a population for taking them to the next generations is the challenging task. In this article a novel approach is proposed to choose the best solutions.
Massive Volume of Unstructured Data and Storage Space Optimization- a Review
Authors: V. Powar Ranjeet , Arunkumar B 
Published: July 2019

Nowadays the volume of digital data generated and used by enterprises is increasing at an enormous rate. The survey says that more than 80% of data that were generated in the last two years are unstructured in nature. Hence storage space requirement for storing this big volume of unstructured data is very high. It has gained attention to large-scale storage systems. Deduplication is a space efficient method mainly used to solve storage space optimization problem. This paper focuses on the effect of massive volume of unstructured data and review various storage optimization techniques and survey of various storage types. In addition, it elaborates specific challenges with regard to storage optimization using deduplication and technology that handles a huge amount of unstructured data.
Safe Diffusion of Provenance in Wireless Sensor Networks Using in-Packet Bloom Filter Provenance Encoding Technique
Authors: P Lal Sujesh , M. Joe Prathap P 
Published: July 2019

Wireless Sensor Networks (WSN) comprises of tiny wireless sensor nodes for continuous observation of physical or environmental conditions. Sensor networks are increasingly deployed in decision-making infrastructures. They are widely used for battlefield monitoring systems and Supervisory Control and Data Acquisition (SCADA) systems. Making decision makers aware of the trust worthiness of the collected data is crucial. WSNs are used by Business Applications. These applications depend on trustworthy sensor data to control business processes. It is important to ensure the trustworthiness of the data generated from sensor nodes so that effective decisions can be made. Making decision makers aware of the trustworthiness of the collected data is crucial. WSNs are used by Business Applications. These applications depend on trustworthy sensor data to control business processes.We have proposed a different approach for provenance diffusion for WSN using Bloom filters. The major security attributes of the scheme are freshness, confidentiality and integrity. Experimental characteristics and results evaluating the scheme output the efficiency of the provenance encoding and its transmission.