bluuebunny/crossref_metadata_2025_split huggingface dataset:
An amphipathic Bax core dimer forms part of the apoptotic pore wall in the mitochondrial␣membrane
Authors: Lv Fujiao , Qi Fei , Zhang Zhi , Wen Maorong , Kale Justin , Piai Alessandro , Du Lingyu , Wang Shuqing , Zhou Liujuan , Yang Yaqing , Wu Bin , Liu Zhijun , del Rosario Juan , Pogmore Justin , Chou James J , Andrews David W , Lin Jialing , OuYang Bo 
Published: June 2021

AbstractBax proteins form pores in the mitochondrial outer membrane to initiate apoptosis. This might involve their embedding in the cytosolic leaflet of the lipid bilayer, thus generating tension to induce a lipid pore with radially arranged lipids forming the wall. Alternatively, Bax proteins might comprise part of the pore wall. However, there is no unambiguous structural evidence for either hypothesis. Using NMR, we determined a high‐resolution structure of the Bax core region, revealing a dimer with the nonpolar surface covering the lipid bilayer edge and the polar surface exposed to water. The dimer tilts from the bilayer normal, not only maximizing nonpolar interactions with lipid tails but also creating polar interactions between charged residues and lipid heads. Structure‐guided mutations demonstrate the importance of both types of protein–lipid interactions in Bax pore assembly and core dimer configuration. Therefore, the Bax core dimer forms part of the proteolipid pore wall to permeabilize mitochondria.
O meio dia recostado sobre a meia-noite
Authors: Natalino Natália Barcelos 
Published: June 2021

A epígrafe do poema “Sophia e o sol”, de Ana Martins Marques (Belo Horizonte, 1977), presente no livro Da arte das armadilhas (2011), encaminha a principal proposta deste artigo-ensaio: aproximar a poeta mineira de Sophia de Mello Breyner Andresen (Porto, 1919 – Lisboa, 2004), seja pela via das citações diretas ou indiretas, seja pela identificação de “plágios”, “roubos” e “apropriações”, como se queira chamar, seja pela identificação daquilo que a própria Ana Martins Marques coloca como rastros de leitura. Propomos um exercício similar ao de Wilberth Salgueiro em seu artigo “A tradição visível: poesia e citação” (2017): bem mais que uma passagem ou um trecho, consideramos como citação o próprio nome do autor, ou seja, partimos do dado objetivo da citação (da referência, da alusão, da nomeação) no corpo do poema. Reforçando nosso aporte teórico, recorremos, ainda, às contribuições de Antonie Compagnon, em O trabalho da citação (1996), e de Leonardo Villa-Forte, em Escrever sem escrever: literatura e apropriação no século XXI (2019).
ISOLATION, PURIFICATION AND STRUCTURAL CHARACTERISTICS OF GLYCOSAMINOGLYCANS FROM SEA CUCUMBER STICHOPUS HORRENS
Authors: Thinh Pham Duc 
Published: June 2021

Sea cucumber glycosaminoglycans have been well known as potential anticoagulant and antithrombin agents. In this investigation, glycosaminoglycans were isolated from sea cucumber Stichopus horrens by papain enzymatic digestion. Crude glycosaminoglycans were fractionated and purified by using anion-exchange chromatography on the DEAE-Macro Prep column to give two fractions of fucosylated chondroitin sulfate (FCS1) and fucan sulfate (FS2). Structural characteristics of F1 and F2 fractions were elucidated using chemical and IR, NMR spectroscopic methods. The results showed that the monosaccharide compositions of FCS1 consist of N-Acetyl-Galactosamine (GlcNAc), D-Glucuronic acid (GlcA) and Fucose (Fuc) residues with different molar ratios, while FS2 content only fucose residues. Sulfate contents of FCS1 and FS2 were 47.4% and 48.1%, respectively. FCS1 and FS2 fractions were different in the pattern of sulfation of N-Acetyl-Galactosamine and fucose residues. IR and NMR spectra of two frations showed that sulfate groups were primarily occupied at C4 of pyranose residues in FS2 and C6, C2 and/or C3 of pyranose residues in FCS1 fraction. Our results contributed to knowledge on structural types of glycosaminoglycan from sea cucumbers in Vietnam. The establishment of structural features plays an important role in further studies of the structure-bioactivity relationship of sea cucumber glycosaminoglycan.
A NON-GRADIENT APPROACH FOR THREE DIMENSIONAL TOPOLOGY OPTIMIZATION
Authors: Nguyen Minh Ngoc , Thanh Nguyen Nha , Tran Minh Tuan 
Published: June 2021

The present work is devoted to the extension of the non-gradient approach, namely Proportional Topology Optimization (PTO), for compliance minimization of three-dimensional (3D) structures. Two schemes of material interpolation within the framework of the solid isotropic material with penalization (SIMP), i.e. the power function and the logistic function are analyzed. Through a comparative study, the efficiency of the logistic-type interpolation scheme is highlighted. Since no sensitivity is involved in the approach, a density filter is applied instead of sensitivity filter to avoid checkerboard issue
CC-FJpy: A Python Package for Extracting Overtone Surface-Wave Dispersion from Seismic Ambient-Noise Cross Correlation
Authors: Li Zhengbo , Zhou Jie , Wu Gaoxiong , Wang Jiannan , Zhang Gongheng , Dong Sheng , Pan Lei , Yang Zhentao , Gao Lina , Ma Qingbo , Ren Hengxin , Chen Xiaofei 
Published: June 2021

Abstract
In the past two decades, seismic ambient-noise cross correlation (CC) has been one of the most important technologies in seismology. Usually, only the fundamental-mode surface-wave dispersion was extracted from the ambient noise. Recently, with the frequency–Bessel transform (F-J) method, overtone dispersion can also be extracted from the ambient noise and it adds significant value in inversion. This method has also been verified to be effective for array seismic records of earthquake events. In this article, we describe our algorithm and a Python package called CC-FJpy. For the F-J method, we use the Nvidia’s graphics processing unit to accelerate the computation, which can achieve a 100-fold computational efficiency. We have encapsulated our experiences and technologies into CC-FJpy and tested the CC-FJpy by ambient-noise and earthquake data to ensure its speed and ease of use. Our open-source package CC-FJpy can benefit the development of surface-wave studies using ambient noise and make it easier to start with high-mode surface waves.
Artificial Intelligence Price Emulator: A Study on Cryptocurrency
Authors: Ganapathy Apoorva , Neogy Taposh Kumar 
Published: June 2021

The cryptocurrency Artificial intelligence price emulator is a software programmed to collect cryptocurrency market data, analyze the data and predict the market price using the collected data. Computer emulators are programmed to mimic and copy behaviors or other software/hardware. The reason for emulation is to get to a particular result as quickly as possible. Machine learning is the ability of computers to read and process data while learning from the data with human interference or influence. This work focused majorly on how cryptocurrency market prices can be emulated using Artificial Intelligence with machine learning abilities. It also looked into the advantages of using the software for crypto investors. Some of which is the reduced time of research, reduction of risk, among others.
A novel approach in non-surgical management of tubal ectopic: combination of minimally invasive technique under ultrasound guidance with systemic methotrexate based on initial beta-HCG levels
Authors: Chakraborty Mayoukh Kumar , Gainder Shalini , Saha Subhas Chandra , Bagga Rashmi 
Published: June 2021

Background: Single dose methotrexate is the most preferred method of non-surgical management of unruptured tubal ectopic. A 2-dose regimen is suggested to treat tubal ectopic with higher trophoblastic cell load. Minimally invasive technique of ultrasound guided intracardiac KCL instillation along with systemic methotrexate has been in use even for live ectopic pregnancy. Objective of the study was to evaluate the success rate of single dose regimen of MTX (Methotrexate), 2-dose regimen of MTX and ultrasound guided instillation of intracardiac KCl in three different cohort of unruptured tubal ectopic pregnancy with an attempt to increase success of non-surgical management.Methods: Fifty-eight women with unruptured tubal ectopic pregnancy were assigned to treatment protocols according to the initial β-HCG levels and presence/absence of FCA (fetal cardiac activity). Group 1: presence of FCA in the tubal ectopic; Group 2: initial β-HCG ≤5000 IU/ml; Group 3: initial β-HCG ≥5000 IU/ml without FCA. Women in group 1 were treated with ultrasound guided instillation of intracardiac KCl combined with systemic MTX. While women in group 2 were administered single dose regimen of MTX and group 3 received 2-dose regimen of MTX.Results: Overall success rate of non-surgical management was 89.3% across all groups. Success rate in Group 1 was 78.6%. Success rate was 93.1% in group 2 while 92.3% in group 3. Rupture rate was 1.7% in the present study.Conclusions: For non-surgical management categorizing and treating is an option with good result. Women with presence of cardiac activity can opt for non-surgical option with likely resolution in 78% cases.
Nursing Students' Perception Regarding Community Health Nursing Practical Modules Experience, at the Faculty of Nursing, Modern University for Technology and Information, Egypt
Authors: Moselhy Manal Mohamed 
Published: June 2021

BackgroundLearning depends not only upon how teachers have designed and structured their subjects and courses but also upon how their students perceive and understand this design and structure. Understanding student's level of perception with their clinical education forms a basis of determining the quality of nursing education.ObjectiveAssess nursing students' perception of their learning experience with community health nursing practical modules.MethodsCross-sectional descriptive study, the convenience sample included 149 students studying a community health nursing practical course at the Faculty of Nursing affiliated to Modern University for Technology and Information. Three tools were used; (a) interviewing questionnaire regarding demographic characteristics. (b) Undergraduate modules experience questionnaire and (c) Student evaluation of clinical education environment inventory.ResultsStudents' total perception mean scores regarding the practical modules experience questionnaire was(79.82%), and different community clinical learning environment, family health centers (82.01%), schools (76. 83%), and geriatric homes (79. 29%) with statistical significance differencesp≤ .042. Furthermore, significant relationship was found between students' academic achievement and total perception of the Undergraduate Modules Experience Questionnaire (UMEQ) and its subscales, Good Teaching, Intellectual Motivation (p≤ .01), Clear goals and standards and Generic Skills (p≤ .04), Appropriate Assessment and Overall Satisfaction (p≤ .05).ConclusionNursing students revealed a higher positive perception of community health nursing practical modules experiences. However, there was few areas are required for improving quality of the practical modules.Implications for nursing educationIncreasing period of students' clinical training exposure, teaching the skills of effective time management as well as increasing number of the academic staff in the community health nursing department are recommended strategies for improving quality of community health nursing practical modules.
Improving the Perception of Patient-Centered Wellness in a Virtual Population During the COVID-19 Pandemic
Authors: Myers Sybilla , Kennedy Christopher 
Published: June 2021

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual's likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.
A safe way of performing dangerous experiments. III. The safety box. 2. Demonstrating the reactions of alkali metals with concentrated oxoacids
Authors: Bukleski Miha , Petruševski Vladimir , Aleksova Slavica 
Published: June 2021

A way to conciliate one of the most dangerous reactions and at the same time, a way of a systematic approach towards studying the reaction of the alkali metals and acids, has been offered. Explanation of the observed phenomena considering the extent of how vigorous the reaction is and the circumstances contributing to the rate of reaction due to the precipitate formation or water presence, are discussed. In this paper, the reaction between some concentrated aqueous solutions of oxoacids (HNO3, H3PO4, H2SO4, HClO4) and alkali metals (Li, Na, K) are considered. Video clips of the experiments were prepared as an aid for those instructors that lack experience and/or the necessary materials. This publication is a continuation of the previously published article about the reaction of alkali metals with hydrohalic acids and is part of the series of publications under the general title “A Safe Way of Performing Dangerous Experiments”.
Medical Malpractice System in the United States of America: Lesson to Learn for Indonesia
Authors: Susila Muh Endriyo 
Published: June 2021

A system that serves the liability and settlement of medical malpractice disputes or commonly referred to as medical malpractice system has been established in many countries to respond the rise of medical malpractice claims against doctors. Medical malpractice system in the United States of America (the USA) has been relatively well developed as compared to other countries. Beside adopting pretrial screening process in medical malpractice litigation, various methods of alternative to litigation have been developed in the USA. This paper aims to explore the development of the medical malpractice system in the USA and to see the possibility for Indonesia to learn. This normative legal research relies on the secondary data especially which were collected from online sources. It is found that there are some initiatives in the USA that can be adopted by Indonesia for improving its medical malpractice system, especially the establishment of pretrial screening panel. It is expected that pretrial screening process can eliminate meritless claims which later may reduce unnecessary legal actions against doctors.
Validation of the Global Environmental Multiscale Model (GEM) for Iran
Authors: Mohammadlou Mohammad , Bahremand Abdolreza , Princz Daniel , Kinar Nicholas , Razavi Saman 
Published: June 2021

Abstract
The Global Environmental Multiscale Model (GEM) is an integrated forecasting and data assimilation system developed by Environment and Climate Change Canada. The model is currently in operational use for data assimilation and forecasting at global 25 km to 15 km scales; regional 10 km scales over North America; and 2.5 km scales over Canada. To demonstrate the performance of the GEM model for forecasting applications, global forecast outputs of GEM at the 25 km scale were compared to temperature and precipitation datasets collected over an area of 1,648,000 km2 especially representative of the country of Iran on a daily temporal scale. Using the De Martonne method for climate classification and data from 177 meteorological stations, the country of Iran was classified into three zones: an arid zone with 87 stations; a semi-arid zone with 63 stations; and a humid zone with 27 stations. GEM model outputs were compared to observations in each of these demarcated zones. The results show good agreement between modelled and measured daily temperatures with Kling-Gupta efficiencies of 0.76, 0.71 and 0.78 in arid, semi-arid and humid regions respectively, and a moderate agreement between modelled and measured annual precipitation with 50.06%, 35.6% and 15.38% differences in arid, semi-arid and humid regions, respectively. The results also indicate that there is a significant systematic error between the elevation of the stations and the average elevation of corresponding GEM grid cells (13%). The results provide an evaluation of the model performance for Iran to be utilized for climate change applications in a regional context and can serve as a basis for the development of future high-resolution GEM model versions on a global scale.
Evidence-based precision nutrition improves clinical outcomes by analyzing human and microbial molecular data with artificial intelligence
Authors: Connell Janelle , Toma Ryan , Ho Cleo , Shen Nan , Moura Pedro , Le Tiep , Cai Ying , Tanton Damon , Banavar Guruduth , Vuyisich Momchilo 
Published: June 2021

Abstract
Background

Current dietary recommendations are often generalized, conflicting, and highly subjective, depending on the source biases. This results in confusion, skepticism, and frustration in the general population.
Methods

We have developed an objective, integrated, automated, algorithmic approach to diet and supplement recommendations that is powered by artificial intelligence that analyzes individualized molecular data from the gut microbiome, the human host, and their interactions. This platform enables precise, personalized, and data-driven nutritional recommendations that consist of foods and supplements, based on the individual molecular data, to establish and maintain healthy homeostasis.
Results

We describe the application of our precision nutrition technology platform to populations with depression, anxiety, irritable bowel syndrome (IBS), and type 2 diabetes (T2D). In a blinded interventional study, we provided the study participants with precision nutritional recommendations and observed improvements in clinical outcomes by 36% in severe cases of depression, 40% in severe cases of anxiety, 38% in severe cases of IBS, and more than 30% in the T2D risk score that was validated against clinical measurements of HbA1c.
Conclusion

Our AI-driven precision nutrition program achieved statistically significant improvements in clinical outcomes of depression, anxiety, IBS, and type 2 diabetes. These data support the integration of precision food and supplements into the standard of care for these chronic conditions.
A Comparative Empirical Analysis of 21 Machine Learning Algorithms for Real-World Applications in Diverse Domains
Authors: Nti Isaac Kofi , Aning Justice , Ayawli Beklisi Ben Kwame , Frimpong Kyeremeh , Appiah Albert Yaw , Nyarko-Boateng Owusu 
Published: June 2021

Abstract
The application of computational methods like Machine Learning (ML) and Artificial Intelligence (AI) in several fields has recently received increased attention from academicians and field professionals. However, the availability of several of these computational techniques requires expertise to make the right choice. In making things easy for non-experts and inexperienced practitioners to make a suitable choice, some studies sought to compare the performance of different ML algorithms (MLAs) in solving problems in unique fields. However, most of the previous studies were domain centered on a handful of MLAs, which does not give a fairground for all-inclusive comparative analysis. Also, many of these studies compared MLAs for classification tasks to the best of our knowledge without considering the same MLAs performance for regression problems. This paper examines the performance of twenty-one (21) MLAs for classification and regression tasks based on six datasets from different domains. Empirically we compare their prediction results based on accuracy, balanced accuracy, F-score, Area Under the Curve (AUC), root mean square error, r-squared and adjusted r-squared. The random forest algorithm gave a consistent performance across all the six datasets in classification and regression tasks. However, on average, the XGBoost outperformed all MLAs applied in this study. The dummy algorithm and the linear regression were more moderate than the rest of the applied MLAs in computational complexity. Nevertheless, the overall study outcome shows that MLAs algorithms efficiently solve everyday challenges in elections outcome, financial fraud, network intrusion detection, meteorological forecast and heart diseases discovery; but their performance varies across domains and dataset dimensions.
Prevalence and Types of Bacteria Associated With Ocular Infections of Patients Visiting the Optometry Clinic of Federal University of Technology Owerri
Authors: Ogu Anastasia NneNna , Okereke Josephat N , Anyadoh-Nwadike Sylvia O , Ogwunga Chukwunonyerem Chika 
Published: June 2021

Abstract
The prevalence and types of bacteria associated with ocular infections were studied using swab samples from ocular infected patients attending the Department of Optometry, Federal University of Technology, Owerri clinic. A total of fifty specimens were collected from patients comprising fourteen males and thirty-six females with ocular infections and analyzed aseptically in the Biotechnology laboratory within thirty minutes of collection. The samples were maintained on peptone broth in test tubes and about 1 ml of the overnight peptone broth culture was transferred into sterile petri dishes containing the culture media (nutrient, blood and macConkey agar). Standard microbiological and biochemical protocols were used for isolation, characterization and identification of the bacterial isolates. All specimens had bacterial growth. Fifty-seven bacterial isolates; 35 Gram positive and 22 Gram negative bacteria were identified. These fell into twelve species; Bacillus sp., Corynebacterium sp., Pseudomonas aeruginosa, Haemophilus sp., Staphylococcus aureus, Lactobacillus sp., Klebsiella sp., Citrobacter sp., Proteus mirabilis, Streptococcus pneumoniae, Listeria sp. and Neisseria sp. The predominant bacterial species isolated was Bacillus sp. 17 (29.8%) while Streptococcus sp., Listeria sp., and Neisseria sp. were the least with 1 (1.8%) each. The prevalence rate of bacteria was higher among the female gender within the age group 21 -30 years. The burden of bacterial infections of the eyes is high. The prevalence and types of bacteria may not be exactly the same in every part of the world. To mitigate the burden of ocular infections, physicians need to comply with etiologic approach of diagnosis and treatment regimen.
Activators of Alpha Synuclein Expression Identified by Reporter Cell Line-based High Throughput Drug Screen
Authors: Stahl Fabian , Denner Philip , Piston Dominik , Evert Bernd , Schmitt Ina , Breuer Peter , Wüllner Ullrich 
Published: June 2021

Abstract
Multiplications, mutations and dysregulation of the alpha synuclein gene (SNCA) are associated with the demise of dopaminergic neurons and are considered to play important roles in the pathogenesis of familial and sporadic forms of Parkinson’s disease. Regulation of SNCA expression might thus be an appropriate target for treatment. We aimed to identify specific modulators of SNCA transcription, generated CRISPR/Cas9 modified SNCA-GFP-luciferase (LUC) genomic fusion- and control cell lines and screened a library of 1649 bioactive compounds, including the FDA approved drugs. We found no inhibitors but three selective activators which increased SNCA mRNA and protein levels.