bluuebunny/crossref_metadata_2025 huggingface dataset:
Global Transmission of SARS-COV-2 in Schools, Religious Centres and Markets: An Exploratory Review
Authors: Effiong Fortune Benjamin , Babatunde Abdulhammed Opeyemi , Dada Olaoluwa Ezekiel , Enwerem Kenneth
Published: June 2021

Context: The transmission of COVID-19 was reported to have started at a Seafood Market in Wuhan, China predominantly through droplets from coughing and sneezing. Gatherings like schools, religious and worship centers as well as market places are usually densely populated and congested thereby facilitating the spread of the virus via droplets. This research aims to explore the transmission of COVID-19 in schools, religious gatherings and markets. Evidence Acquisition: Literature search of available evidences was conducted on biomedical databases such as PubMed and Google Scholar using keywords, and articles that met inclusion criteria were selected. Results: Results show that transmission of SARS-CoV-2 has been recorded in schools, religious centres and market places in different countries and regions. Transmission was found to be less prevalent among school children unlike in influenza outbreaks due to some notable factors highlighted in the articles. Numerous evidences stated cases of transmission of SARS-CoV-2 linked to intimacy and close contacts in religious gatherings. Transmission in market place marked the genesis of the pandemic at Huanan Seafood Wholesales Market, Wuhan although only limited evidences are available about transmission in other market places in the world. Conclusions: Although these gatherings are seen to be vital to our daily lives, they are risk settings for SARS-CoV-2 transmission. It is important for government to ensure strict compliance to the COVID-19 protocols in order mitigate the spread of the virus causing the current pandemic.
Comprehensive Methods of Evaluation of Distance Learning System Functioning
Authors:   National Technical University of Ukraine ", Barabash Oleg ,   Igor Sikorsky Kyiv Polytechnic Institute",   , Kyiv, Ukraine., Laptiev Oleksandr , Sobchuk Valentyn , Salanda Ivanna , Melnychuk Yulia , Lishchyna Valerii
Published: June 2021

Given recent events, training during quarantine can only take place remotely. To ensure quality training, communication must be seamless. To do this, the network must function smoothly. The solution to this problem is functionally stable networks that allow uninterrupted transmission of information due to redundancy. An important issue is the definition of redundancy. To solve this problem, the article considers the method of synthesis of the structure of the distance learning system. The method of synthesis of network structure used for providing distance learning by the criterion of maximum functional stability on the basis of the introduction of correcting communication lines is offered. With this method, you can develop tools for self-recovery of distributed software, taking into account the characteristics of disparate computer resources through the use of redundancy. This will allow you to develop functionally stable software systems, significantly reduce the recovery time of such systems after or in the event of possible failures. To increase the efficiency of the developed method, the mathematical model of the hyper network based on two hypergraphs was improved, which allows taking into account different requirements for the quality of the network.
Application of Levenberg-Marguardt Algorithm for Prime Radio Propagation Wave Attenuation Modelling in Typical Urban, Suburban and Rural Terrains
Authors:   Department of Physics, Faculty of Science, Federal University Lokoja, PMB. 1154, Lokoja, Kogi State, Isabona Joseph , Ojuh Divine O.
Published: June 2021

The desire to achieve an adaptive prognostics regression learning processes of physical and empirical phenomenon is a complex task and open problem in radio frequency telecommunication engineering. One key method to solving such complex task or problems is by means of numerical based optimisation algorithms. The Levenberg– Marquardt algorithm (LMA) is an efficient nonlinear parametric machine learning based modelling algorithm with optimal, fast, and accurate convergence speed. This paper proposes and demonstrates the real-time application of the LMA in developing a log-distance like propagation loss model based on received radio strength measurements conducted over deployed long term evolution (LTE) eNodeBs antennas in three different propagation areas. The LTE eNodeB signal propagation areas were selected to reflect typical urban, suburban and rural terrains which represent urban, suburban and rural terrains. The heights of the three eNodeBs are 30, 28 and 32m respectively and each operate at 2.6GHz carrier frequency with 10MHz channel bandwidths. The resultant outcome of the proposed propagation loss modelling using LMA indicates a high approximation efficacy over the popular Gauss-Newton algorithm (GNA) modelling method, which has been used to benchmark the process. Precisely, the developed propagation loss model using LMA method attained lower maximum absolute error (MABE) of 7.73, 14.57and 10.53 for urban, suburban and rural terrains compared to the ones developed by GNA which yielded 15.19, 16.59 and 13.05 MABE values. The improved approximation performance of the LMA over the GNA can be ascribed to its capacity handle multiple free parameters and attain optimum solution irrespective of the selected values of initial guess parameters.
Detection and Classification of Cross-language Code Clone Types by Filtering the Nodes of ANTLR-generated Parse Tree
Authors:   Research Scholar at VTU-RRC & Faculty, Dept. of CSE, KLE College of Engineering & Technology, Chikodi, India,591201, Ankali Sanjay B. , Parthiban Latha
Published: June 2021

A complete and accurate cross-language clone detection tool can support software forking process that reuses the more reliable algorithms of legacy systems from one language code base to other. Cross-language clone detection also helps in building code recommendation system. This paper proposes a new technique to detect and classify cross-language clones of C and C++ programs by filtering the nodes of ANTLR-generated parse tree using a common grammar file, CPP14.g4. Parsing the input files using CPP14.g4 provides all the lexical and semantic information of input source code. Selective filtering of nodes performs serialization of two parse trees. Vector representation using term frequency inverse document frequency (TF-IDF) of the resultant tree is given as an input to cosine similarity to classify the clone types. Filtered parse tree of C and C++ increases the precision from 51% to 61%, and matching based on renaming the input/output expressions provides average precision of 91.97% and 95.37% for small scale and large scale repositories respectively. The proposed cross-language clone detection exhibits the highest precision of 95.37% in finding all types of clones (1, 2, 3 and 4) for 16,032 semantically similar clone pairs of C and CPP codes.
Visualization & Prediction of COVID-19 Future Outbreak by Using Machine Learning
Authors:   Faculty of Engineering, Mashreq University, Khartoum North, Sudan, Hassan Ahmed Hassan Mohammed , Qasem Arfan Ali Mohammed , Abdalla Walaa Faisal Mohammed , Elhassan Omer H.
Published: June 2021

Day by day, the accumulative incidence of COVID-19 is rapidly increasing. After the spread of the Corona epidemic and the death of more than a million people around the world countries, scientists and researchers have tended to conduct research and take advantage of modern technologies to learn machine to help the world to get rid of the Coronavirus (COVID-19) epidemic. To track and predict the disease Machine Learning (ML) can be deployed very effectively. ML techniques have been anticipated in areas that need to identify dangerous negative factors and define their priorities. The significance of a proposed system is to find the predict the number of people infected with COVID19 using ML. Four standard models anticipate COVID-19 prediction, which are Neural Network (NN), Support Vector Machines (SVM), Bayesian Network (BN) and Polynomial Regression (PR). The data utilized to test these models content of number of deaths, newly infected cases, and recoveries in the next 20 days. Five measures parameters were used to evaluate the performance of each model, namely root mean squared error (RMSE), mean squared error (MAE), mean absolute error (MSE), Explained Variance score and r2 score (R2 ). The significance and value of proposed system auspicious mechanism to anticipate these models for the current scenario of the COVID-19 epidemic. The results showed NN outperformed the other models, while in the available dataset the SVM performs poorly in all the prediction. Reference to our results showed that injuries will increase slightly in the coming days. Also, we find that the results give rise to hope due to the low death rate. For future perspective, case explanation and data amalgamation must be kept up persistently.
Building and Annotating a Codeswitched Hate Speech Corpora
Authors:   School of Science and Technology, Africa Nazarene University, Nairobi, Kenya, Ombui Edward , Muchemi Lawrence , Wagacha Peter
Published: June 2021

Presidential campaign periods are a major trigger event for hate speech on social media in almost every country. A systematic review of previous studies indicates inadequate publicly available annotated datasets and hardly any evidence of theoretical underpinning for the annotation schemes used for hate speech identification. This situation stifles the development of empirically useful data for research, especially in supervised machine learning. This paper describes the methodology that was used to develop a multidimensional hate speech framework based on the duplex theory of hate [1] components that include distance, passion, commitment to hate, and hate as a story. Subsequently, an annotation scheme based on the framework was used to annotate a random sample of ~51k tweets from ~400k tweets that were collected during the August and October 2017 presidential campaign period in Kenya. This resulted in a goldstandard codeswitched dataset that could be used for comparative and empirical studies in supervised machine learning. The resulting classifiers trained on this dataset could be used to provide real-time monitoring of hate speech spikes on social media and inform data-driven decision-making by relevant security agencies in government.
Styron Leaves Las Vegas
Authors: Kidd Kerry ,   Philosophy Documentation Center
Published: June 2021

This essay examines the relationship between wording authorship, depression and addiction. Styron's own experience was of tumbling into acute depression, following the withdrawal of his habitual low-level alcohol habit. The paper examines the way in which such depressions may be described as emptinesses of being congruent with a philosophical (Sartrean) perspective: it compares them with the wild excesses and hyperactivities associated with alcoholism in Leaving Las Vegas and The Great Gatsby. The paper makes several theoretical association between alcoholic behavior and the act of writing itself.
The Tao of Drunkenness and Sobriety
Authors: Douglas Helen ,   Philosophy Documentation Center
Published: June 2021

This essay considers the meaning and relatedness of sobriety and drunkenness with reference to Levinas, Taoism, Sufism, the Bible, and the Beatles.
The Cultural Framing of Addiction
Authors: Room Robin ,   Philosophy Documentation Center
Published: June 2021

The concept of addiction is historically and culturally specific, becoming a common way of understanding experience first in early nineteenth-century America, This paper considers the relation to the concept of elements in current professional definitions of addiction (as dependence). Addiction concepts have become a commonplace in storytelling, offering a secular equivalent for possession as an explanation of how a good person can behave badly, and as an inner demon over which a hero can triumph.
Bootcamp for our Consciences around Race: Reflections for my Sister/Brother White Catholics
Authors: Sweetland Laver Mary ,   Philosophy Documentation Center
Published: June 2021

In 2020, it is clear that racism must be a moral priority for white American Catholics, as for all white Americans. To face racism maturely, our consciences need more robust formation than we received as children preparing for First Reconciliation—or as adolescents at Confirmation, when we were instructed that we must be prepared to act boldly to defend our commitment to Christ. One way to build a racially-mature conscience is to seek feedback from anti-racism accountability partners, as the author did. Another is to explore the distinction in Catholic moral theology between invincible and vincible ignorance—what we can know and what we cannot—in order to discern whether an action or inaction is moral. Much of what liberal whites claim we can’t know without input from Blacks is readily available if we have ears to hear.
Det syge USA
Authors: Kongerslev Marianne , Juncker Clara
Published: June 2021

Acknowledging the significance of the COVID-19 pandemic as an exacerbating factor for precarious US communities, this article reads Tony Kushner’s critically acclaimed play Angels in America: A Gay Fantasia on National Themes (1992-95) and Michael Henson’s collection of short stories Maggie Boylan (2015) alongside Susan Sontag (Illness as Metaphor), Jasbir Puar (The Right to Maim) and Lauren Berlant (“Slow Death”). The play and the short story collection represent examples of critiques of a deep-rooted disorder that characterizes the precaritizing American social and political system. From the severely mishandled AIDS crisis in Reagan’s conservative United States to the equally disastrous management of the opioid and meth epidemics in the 21st century, American society and politicians are failing their citizens, a failure reflected in and critiqued by literary texts. Whereas Angels in America is an overtly political drama, in which marginalized people come together to respond to political erasure and violence with imaginative countercultural utopianism, Maggie Boylan traces the gradual decay and corruption of a contemporary American community, functioning as a microcosm of the Unites States as a whole. This society is plagued by several crippling “epidemics” and “crises” that leave bodies broken and communities in tatters. Despite glimmers of hope, Kushner and Henson paint a grim picture of a sickness at the core of American society.
Depressionens umulige håb
Authors: Ettrup Christiansen Charlotte
Published: June 2021

Anmeldelse af:

Mikkel Krause Frantzen

Going Nowhere, Slow: The Aesthetics and Politics of Depression

Zero Books, John Hunt Publishing, London, 2019
Percepción social de la salinización del agua para uso doméstico en Puerto Madero, Chiapas, México
Authors: Barrios-Ramos Iris , Espinoza-Tenorio Alejandro , Mesa-Jurado María Azahara , Tovilla-Hernández Cristian , Mendoza-Carranza Manuel
Published: June 2021

The salinization of drinking water in the coastal zone is a growing concern for water security. Our objective was to know the perception of water salinization for domestic use through semistructured interviews in Puerto Madero, Mexico, a border community with high levels of migration, and then to contrast it with quantitative salinity data. The population of this coastal locality depends substantially on artisan wells without government monitoring. Although no wells were classified as saline, results show that artisan wells that present extreme values of dissolved-solid concentration have impact in human health conditions.
Interacción con la Reserva Nacional del Titicaca y percepción de la problemática ambiental
Authors: Quispe Roque Diana Margaret , Aravena Claudia
Published: June 2021

This study investigates the differences in the interaction and perception of the environmental problems in the Titicaca National Reserve between households in the rural and urban areas of its buffer-zone. We conducted semi-structured interviews and surveys and a test of difference. Results show significant differences in the socioeconomic profile of the households. Rural interaction is associated with the use of the resources as a source of food and livestock, while in the urban area it is associated to recreation. The pollution of the lake was the main environmental problem identified. However, rural households perceive the overexploitation of natural resources.
Condiciones de las redes interorganizativas para la innovación en áreas rurales
Authors: Nogueira Dias Cleidson , Hoffmann Valmir Emil , Martínez-Fernández María Teresa
Published: June 2021

The objective is to investigate which are the drivers of the formation of inter-organizational cooperation networks that contribute to the achievement of innovation performance in rural areas. Regarding the methodological aspects, the research chose Qualitative Comparative Analysis (QCA) and Content Analysis for research with the leaders of research, development and innovation networks of the most important agri-food technologies in Brazil and Spain. Our findings suggest that relevant reasons that influence the performance of the innovation are Legitimacy, Flexibility and Efficiency.
Wpływ mikroinstalacji fotowoltaicznych na wybrane parametry jakości energii elektrycznej oraz pracę agregatów w sieci dystrybucyjnej niskiego napięcia
Authors: Topolski Łukasz
Published: June 2021

Duża koncentracja jednofazowych mikroinstalacji fotowoltaicznych w nisko obciążonej sieci dystrybucyjnej niskiego napięcia często ma negatywny wpływ na parametry jakości energii elektrycznej, co skutkuje automatycznym wyłączaniem się falowników oraz utrudnia służbom energetycznym prowadzenie prac eksploatacyjnych z wykorzystaniem agregatów prądotwórczych. W artykule wyjaśniono i przedstawiono wpływ jednofazowych mikroinstalacji fotowoltaicznych o mocy 2 kW na wartość skuteczną napięcia i asymetrię prądową i napięciową oraz omówiono współpracę agregatu prądotwórczego z mikroinstalacjami. W artykule zaprezentowano również wyniki pomiarów skuteczności łagodzenia negatywnego wpływu mikroinstalacji na parametry napięcia za pomocą transformatora symetryzującego oraz szeregowego transformatora dodawczego, z niezależną regulacją napięcia w poszczególnych fazach.
A hypothesis on the capacity of plant odorant-binding proteins to bind volatile isoprenoids based on in silico evidences
Authors: Giordano Deborah , Facchiano Angelo , D'Auria Sabato , Loreto Francesco
Published: June 2021

Volatile organic compounds (VOCs) from ‘emitting’ plants inform the ‘receiving’ (listening) plants of impending stresses or simply of their presence. However, the receptors that allow receivers to detect the volatile cue are elusive. Most likely, plants (as animals) have odorant-binding proteins (OBPs), and in fact, a few OBPs are known to bind ‘stress-induced’ plant VOCs. We investigated whether these and other putative OBPs may bind volatile constitutive and stress-induced isoprenoids, the most emitted plant VOCs, with well-established roles in plant communication and defense. Molecular docking simulation experiments suggest that structural features of a few plant proteins screened in databases could allow VOC binding. In particular, our results show that monoterpenes may bind the same plant proteins that were described to bind other stress-induced VOCs, while the constitutive hemiterpene isoprene is unlikely to bind any investigated putative OBP and may not have an info-chemical role. We conclude that, as for animal, there may be plant OBPs that bind multiple VOCs. Plant OBPs may play an important role in allowing plants to eavesdrop messages by neighboring plants, triggering defensive responses and communication with other organisms.
Dual targeting of salt inducible kinases and CSF1R uncouples bone formation and bone resorption
Authors: Tang Cheng-Chia , Castro Andrade Christian D , O'Meara Maureen J , Yoon Sung-Hee , Sato Tadatoshi , Brooks Daniel J , Bouxsein Mary L , Martins Janaina da Silva , Wang Jinhua , Gray Nathanael S , Misof Barbara , Roschger Paul , Blouin Stephane , Klaushofer Klaus , Velduis-Vlug Annegreet , Vegting Yosta , Rosen Clifford J , O'Connell Daniel , Sundberg Thomas B , Xavier Ramnik J , Ung Peter , Schlessinger Avner , Kronenberg Henry M , Berdeaux Rebecca , Foretz Marc , Wein Marc N
Published: June 2021

Bone formation and resorption are typically coupled, such that the efficacy of anabolic osteoporosis treatments may be limited by bone destruction. The multi-kinase inhibitor YKL-05–099 potently inhibits salt inducible kinases (SIKs) and may represent a promising new class of bone anabolic agents. Here, we report that YKL-05–099 increases bone formation in hypogonadal female mice without increasing bone resorption. Postnatal mice with inducible, global deletion of SIK2 and SIK3 show increased bone mass, increased bone formation, and, distinct from the effects of YKL-05–099, increased bone resorption. No cell-intrinsic role of SIKs in osteoclasts was noted. In addition to blocking SIKs, YKL-05–099 also binds and inhibits CSF1R, the receptor for the osteoclastogenic cytokine M-CSF. Modeling reveals that YKL-05–099 binds to SIK2 and CSF1R in a similar manner. Dual targeting of SIK2/3 and CSF1R induces bone formation without concomitantly increasing bone resorption and thereby may overcome limitations of most current anabolic osteoporosis therapies.
Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum
Authors: Choong En Jun , Varathan Kasturi Dewi
Published: June 2021

The Myers-Briggs Type Indicator (MBTI) is a well-known personality test that assigns a personality type to a user by using four traits dichotomies. For many years, people have used MBTI as an instrument to develop self-awareness and to guide their personal decisions. Previous researches have good successes in predicting Extraversion-Introversion (E/I), Sensing-Intuition (S/N) and Thinking-Feeling (T/F) dichotomies from textual data but struggled to do so with Judging-Perceiving (J/P) dichotomy. J/P dichotomy in MBTI is a non-separable part of MBTI that have significant inference on human behavior, perception and decision towards their surroundings. It is an assessment on how someone interacts with the world when making decision. This research was set out to evaluate the performance of the individual features and classifiers for J/P dichotomy in personality computing. At the end, data leakage was found in dataset originating from the Personality Forum Café, which was used in recent researches. The results obtained from the previous research on this dataset were suggested to be overly optimistic. Using the same settings, this research managed to outperform previous researches. Five machine learning algorithms were compared, and LightGBM model was recommended for the task of predicting J/P dichotomy in MBTI personality computing.
Comparison of fruit morphology and nutrition metabolism in different cultivars of kiwifruit across developmental stages
Authors: Li Yu-fei , Jiang Weijia , Liu Chunhong , Fu Yuqi , Wang Ziyuan , Wang Mingyuan , Chen Cun , Guo Li , Zhuang Qi-guo , Liu Zhi-bin
Published: June 2021

Kiwifruit (Actinidia) is becoming increasingly popular worldwide due to its favorable flavour and high vitamin C content. However, quality parameters vary among cultivars. To determine the differences in quality and metabolic parameters of kiwifruit, we monitored the growth processes of ‘Kuilv’ (Actinidia arguta), ‘Hongyang’ (Actinidia chinensis) and ‘Hayward’ (Actinidia deliciosa). We found that ‘Kuilv’ required the shortest time for fruit development, while ‘Hayward’ needed the longest time to mature. The fruit size of ‘Hayward’ was the largest and that of ‘Kuilv’ was the smallest. Furthermore, ‘Hongyang’ showed a double-S shape of dry matter accumulation, whereas ‘Kuilv’ and ‘Hayward’ showed a linear or single-S shape pattern of dry matter accumulation during development. The three cultivars demonstrated the same trend for total soluble solids accumulation, which did not rise rapidly until 90–120 days after anthesis. However, the accumulation of organic acids and soluble sugars varied among the cultivars. During later fruit development, the content of glucose, fructose and quinic acid in ‘Kuilv’ fruit was far lower than that in ‘Hongyang’ and ‘Hayward’. On the contrary, ‘Kuilv’ had the highest sucrose content among the three cultivars. At maturity, the antioxidative enzymatic systems were significantly different among the three kiwifruit cultivars. ‘Hongyang’ showed higher activities of superoxide dismutase than the other cultivars, while the catalase content of ‘Hayward’ was significantly higher than that of ‘Hongyang’ and ‘Kuilv’. These results provided knowledge that could be implemented for the marketing, handling and post-harvest technologies of the different kiwifruit cultivars.
Improving maize’s N uptake and N use efficiency by strengthening roots’ absorption capacity when intercropped with legumes
Authors: Zheng Benchuan , Zhang Xiaona , Chen Ping , Du Qing , Zhou Ying , Yang Huan , Wang Xiaochun , Yang Feng , Yong Taiwen , Yang Wenyu
Published: June 2021

Maize’s nitrogen (N) uptake can be improved through maize-legume intercropping. N uptake mechanisms require further study to better understand how legumes affect root growth and to determine maize’s absorptive capacity in maize-legume intercropping. We conducted a two-year field experiment with two N treatments (zero N (N0) and conventional N (N1)) and three planting patterns (monoculture maize (Zea mays L.) (MM), maize-soybean (Glycine max L. Merr.) strip intercropping (IMS), and maize-peanut (Arachis hypogaea L.) strip intercropping (IMP)). We sought to understand maize’s N uptake mechanisms by investigating root growth and distribution, root uptake capacity, antioxidant enzyme activity, and the antioxidant content in different maize-legume strip intercropping systems. Our results showed that on average, the N uptake of maize was significantly greater by 52.5% in IMS and by 62.4% in IMP than that in MM. The average agronomic efficiency (AE) of maize was increased by 110.5 % in IMS and by 163.4 % in IMP, compared to MM. The apparent recovery efficiency (RE) of maize was increased by 22.3% in IMS. The roots of intercropped maize were extended into soybean and peanut stands underneath the space and even between the inter-rows of legume, resulting in significantly increased root surface area density (RSAD) and total root biomass. The root-bleeding sap intensity of maize was significantly increased by 22.7–49.3% in IMS and 37.9–66.7% in IMP, compared with the MM. The nitrate-N content of maize bleeding sap was significantly greater in IMS and IMP than in MM during the 2018 crop season. The glutathione (GSH) content, superoxide dismutase (SOD), and catalase (CAT) activities in the root significantly increased in IMS and IMP compared to MM. Strip intercropping using legumes increases maize’s aboveground N uptake by promoting root growth and spatial distribution, delaying root senescence, and strengthening root uptake capacity.
A Study on Performance of Dairy Sector in India
Authors: Vykhaneswari K. , Babu G. Sunil Kumar
Published: June 2021

The present study was undertaken to analyse the performance of the dairy sector in India by using compound growth rate analysis and to determine the trends observed in the parameters. It was observed that the compound growth rate of the livestock population was 0.89 per cent, positive and significant from 1956 to 2019. Buffalo population has shown a positive and significant growth rate of 1.43 per cent and 0.31 per cent for cattle and 1.58 per cent for goats. In comparison to indigenous cows, exotic or crossbred cows showed a greater significant growth rate of 5.14 per cent against 1.71 per cent. There has been observed a positive and significant compound annual growth rate of 4.71 per cent to milk production and 3.26 per cent for per capita availability. Dairy cooperative societies, producer members, milk procurement and liquid milk marketing showed a positive and significant compound annual growth rate of 3.47, 2.31, 7.78 and 6.04 per cent respectively. The compound annual growth rate of exports in quantity showed a positive rate of 14.24 per cent and imports with a negative growth rate of 9.70 over the period which indicates that India is a net exporter of dairy products.
Utilization of Modified Zeolite as Catalyst for Steam Gasification of Palm Kernel Shell
Authors: Waluyo Joko , Ruya Petric Marc , Hantoko Dwi , Rizkiana Jenny , Makertihartha I.G.B.N. , Yan Mi , Susanto Herri
Published: June 2021

Syngas from biomass gasification is being developed for alternative feedstock in the chemical industry. Palm kernel shell which is generated from palm oil industry can be potentially used as raw material for gasification process. The purpose of this study was to investigate the use of modified natural zeolite catalysts in steam gasification of palm kernel shells. Mordenite type zeolite was modified by acid leaching to be used as a tar cracking catalyst. Steam gasification was conducted at the temperature range of 750–850 °C and the steam to biomass ratio was in the range of 0–2.25. The result showed that steam gasification of palm kernel shell with the addition of zeolite catalyst at 750 °C and steam to biomass ratio 2.25 could reduce tar content up to 98% or became 0.7 g/Nm3. In this study, gasification of palm kernel shells produced syngas with the hydrogen concentration in the range of 52–64% and H2/CO ratio of 2.7–5.7. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
Sedentary work and breast cancer risk: A systematic review and meta-analysis
Authors: Lee Jongin , Lee JaeYong , Lee Dong-Wook , Kim Hyoung-Ryoul , Kang Mo-Yeol
Published: June 2021

Objectives

This systematic review and meta-analysis aimed to assess sedentary work’s contribution to breast cancer risk quantitatively using thorough research articles.

Methods

We performed a meta-analysis using a registered protocol in PROSPERO (registration number: CRD42020204629). Literature from PubMed, Embase, and Cochrane involving sedentary work and breast cancer risk was reviewed. We calculated the overall pooled risk ratios (RRs) and 95% CI with a random-effect model from the included studies. Furthermore, we performed stratified analyses by characteristics of studies.

Results

Thirty-one studies (13 cohort studies and 18 case-control studies) were included in the analysis. The overall effect of the pooled analysis was an RR of 1.16 (95% CI 1.08-1.23). The results were 1.20 (95% CI 1.10-1.30) and 1.12 (95% CI 1.02-1.23) for cohort and case-control studies. The effect of sedentary work did not seem to be consistently attenuated by controlling body mass index, menopausal status, or experience of hormone replacement therapy.

Conclusion

The results from this meta-analysis suggest that sedentary behavior within the occupational domain was associated with a 15.5% increased risk of breast cancer. It is essential to reduce the sedentary time spent at work and to secure time for leisure-time physical activity among sedentary workers as a primary preventive measure.
A solution to leader following of underactuated surface vessels with actuator magnitude and rate limits
Authors: Xia Guoqing , Xia Xiaoming , Zhao Bo , Sun Chuang , Sun Xianxin
Published: June 2021

This article investigates the leader following of underactuated surface vessels that operate in the presence of environmental disturbances, model uncertainties, and actuator saturation. What makes the design of controller challenging is that the sway cannot be directly controlled. Furthermore, the actuator is formulated with magnitude saturation and rate saturation. To express the effect of magnitude saturation and rate saturation, a continuous function is employed to model actuator. An auxiliary dynamic system is used to solve the problem of magnitude saturation and rate saturation. A disturbance observer is designed to provide estimation of the environmental disturbances and model uncertainties, and achieve finite time convergence of estimation error. A control law is designed based on disturbance observer, backstepping technique, and auxiliary dynamic system. The uniform ultimate boundedness of all signals in the closed‐loop control system is proved. Simulations demonstrate the performance of the proposed controller.
Functional Phenotype Flow Cytometry: On Chip Sorting of Individual Cells According to Responses to Stimuli
Authors: Nikiforov Petar O. , Hejja Beata , Chahwan Richard , Soeller Christian , Gielen Fabrice , Chimerel Catalin
Published: June 2021

The ability to effectively separate and isolate biological cells into specific and well‐defined subpopulations is crucial for the advancement of our understanding of cellular heterogeneity and its relevance to living systems. Here is described the development of the functional phenotype flow cytometer (FPFC), a new device designed to separate cells on the basis of their in situ real‐time phenotypic responses to stimuli. The FPFC performs a cascade of cell processing steps on a microfluidic platform: introduces biological cells one at a time into a solution of a biological reagent that acts as a stimulus, incubates the cells with the stimulus solution in a flow, and sorts the cells into subpopulations according to their phenotypic responses to the provided stimulus. The presented implementation of the FPFC uses intracellular fluorescence as a readout, incubates cells for 75 s, and operates at a throughput of up to 4 cells min−1—resulting in the profiling and sorting of hundreds of cells within a few hours. The design and operation of the FPFC are validated by sorting cells from the human Burkitt's lymphoma cancerous cell line Ramos on the basis of their response to activation of the B cell antigen receptor (BCR) by a targeted monoclonal antibody.
Dynamic modeling and tracking for nonholonomic mobile robot using PID and back‐stepping
Authors: Yousuf Bilal M. , Saboor Khan Abdul , Munir Khan Sana
Published: June 2021

This article presents the motion control of nonholonomic two‐wheeled differential drive portable robot in terms of dynamic and kinematic model. The main problem lies in the demonstration of a versatile robot in dynamic behavior. The controller is planned in two sections, initially, a linear controller is configured utilizing the PID control strategy. In the subsequent stage, the control algorithm is designed utilizing the back‐stepping controller. An examination has been done between the two controllers and simulation result shows the adequacy of the exhibitions. These simulations show great coordinate outcomes while limiting the overshoot and improved the transient reaction time.
Asymmetric Trilayer All‐Polymer Dielectric Composites with Simultaneous High Efficiency and High Energy Density: A Novel Design Targeting Advanced Energy Storage Capacitors
Authors: Sun Liang , Shi Zhicheng , He Benlin , Wang Huanlei , Liu Shuai , Huang Minghua , Shi Jing , Dastan Davoud , Wang Hong
Published: June 2021

Polymeric dielectrics have attracted intensive attention worldwide because of their huge potential for advanced energy storage capacitors. Thus far, various effective strategies have been developed to improve the inherent low energy densities of polymer dielectrics. However, enhanced energy density is always accompanied by suppressed discharge efficiency, which is detrimental to practical applications and deserves considerable concern. Targeting at achieving simultaneous high energy density and high discharge efficiency, the unique design of asymmetric all‐polymer trilayer composite consisting of a transition layer sandwiched by a linear dielectric layer and a nonlinear dielectric layer is herein reported. It is demonstrated that the nonlinear dielectric layer offers high energy density, while the linear dielectric layer provides high discharge efficiency. Especially, the transition layer can effectively homogenize the electric field distribution, resulting in greatly elevated breakdown strength and improved energy density. In particular, a high efficiency of 89.9% along with a high energy density of 12.15 J cm−3 are concurrently obtained. The asymmetric trilayer all‐polymer design strategy represents a new way to achieve high‐performance dielectric energy storage materials.
Developing “Polymer‐in‐Salt” High Voltage Electrolyte Based on Composite Lithium Salts for Solid‐State Li Metal Batteries
Authors: Li Hao , Du Yunfei , Wu Xiaomeng , Xie Jingying , Lian Fang
Published: June 2021

The stringent demands for lithium salts make the design of “polymer‐in‐salt” type solid electrolyte restricted since it was proposed in 1993. Herein, a novel polymer‐in‐salt solid electrolyte is developed via a supramolecular strategy based on poly(methyl vinyl ether‐alt‐maleic anhydride) (PME) and novel single‐ion lithiated polyvinyl formal (LiPVFM)/lithium bis(trifluoromethylsulfonyl)imide (LiTFSI) composite salts (Dual‐Li). Hydroxyl of LiPVFM in Dual‐Li forms a strong hydrogen bond with the carboxylic acid group generated by the partial ring‐opening reaction of maleic anhydride in PME. Meanwhile, PME with abundant carbonyl enables the improved LiTFSI coordination in the polymer/salt composites. As a result, the greatly enhanced mutual solubility of PME and Dual‐Li is of importance to build a “polymer‐in‐salt” solid electrolyte (PISE), which exhibits high ionic conductivity of 3.57 × 10–4 S cm–1, wide electrochemical window beyond 5 V, and superior lithium‐ion transference number of 0.62 at 25 °C as well as excellent interfacial compatibility with electrodes. The as‐assembled LiCoO2||Li solid batteries present prominent high‐voltage cyclability with 89.2% capacity retention in 225 cycles. Furthermore, LiNi0.7Mn0.2Co0.1O2||Li pouch cells exhibit remarkable safety even under harsh conditions. The study offers a promising strategy to address the high voltage compatibility and interfacial issues using PISE in solid‐state batteries.
Inhibiting Surface Diffusion to Synthesize 3D Bicontinuous Nanoporous N‐Doped Carbon for Boosting Oxygen Reduction Reaction in Flexible All‐Solid‐State Al‐Air Batteries
Authors: Hu Kailong , Yu Tingting , Zhang Yanyi , Lin Xiaorong , Zhao Yilu , Xie Guoqiang , Liu Xingjun , Lin Xi , Fujita Jun‐ichi , Qiu Hua‐Jun , Ito Yoshikazu
Published: June 2021

Catalyzing oxygen reduction reaction (ORR) and accelerating oxygen diffusion are two key challenges for the requirements of the cathode catalysts in the metal‐air batteries. A promising strategy for improving both ORR performance and mass diffusion simultaneously is to build carbon‐based catalysts with ORR‐active chemical dopants and 3D interconnected porosity. Herein, a 3D nanoporous N‐doped carbon with bicontinuous porosity and interconnected open‐pore channels is reported, which is prepared by a polyaniline‐assisted template method. The polyaniline can efficiently inhibit the surface diffusion‐caused template coarsening, achieving a small pore size of 35 nm. The small porous morphology gives rise to a high N‐dopant concentration up to 7.20 at.%, which in turn exhibits a commercial Pt/C‐comparable ORR performance together with satisfied durability in alkaline media. Using these nanoporous carbon catalysts as air electrodes, an all‐solid‐state flexible Al‐air battery is assembled with the measured maximum power density reaching 130.5 mW cm−2, as compared to 106.2 mW cm−2 when the commercial Pt/C standard is used. This study provides an efficient method to synthesize 3D N‐doped carbon with bicontinuous nano‐sized pore channels for wide‐ranging applications in portable and flexible devices.
Bifunctional SnO2 Colloid Offers No Annealing Effect Compact Layer and Mesoporous Scaffold for Efficient Perovskite Solar Cells
Authors: Xiong Liangbin , Li Jiashuai , Ye Feihong , Wang Haibing , Guo Yaxiong , Ming Xing , Chen Qingyun , Zhang Shaoan , Xie Ruihao , Chen Zhanxu , Lv Yang , Hu Guangqi , He Yingji , Fang Guojia
Published: June 2021

SnO2 compact layer (c‐SnO2) frequently suffers from degradation in high temperature processes (HTP) such as crack, worse interfacial contact, and electrical properties, that is, annealing effect. To solve this problem, a kind of bifunctional SnO2 colloid is developed by using small molecular oxalate whose organic components can be removed clearly at a low temperature process (LTP). The c‐SnO2 and SnO2 mesoporous layer (m‐SnO2) derived from the fresh and aged sols with the same colloid show no annealing effect, decreasing oxygen vacancy, and adsorbing water on increasing annealing temperature. The champion devices of LTP and HTP SnO2 planar perovskite solar cells (PSCs) achieve, respectively, stabilized photoelectric conversion efficiencies (PCEs) of 20.74% and 20.70%. In contrast, the performance of champion devices of their mesoporous counterparts is significantly improved, showing nearly hysteresis free character with stabilized PCEs of 22.40% and 22.37%, respectively. The inclusion of m‐SnO2 plays a role of an energy bridge, improving electrons collection efficiency, which is supported by photoluminescence and transient photoluminescence characterizations. HTP SnO2 mesoporous PSCs can preserve 97.6% and 80% of their initial PCEs after aging for 25 weeks and 8‐h irradiated/16‐h dark cycle within 104 h. The high stability of HTP SnO2 PSCs may ascribe to low oxygen vacancy and adsorbed water of HTP SnO2.
Low Power MoS2/Nb2O5 Memtransistor Device with Highly Reliable Heterosynaptic Plasticity
Authors: Nam Jae Hyeon , Oh Seyoung , Jang Hye Yeon , Kwon Ojun , Park Heejeong , Park Woojin , Kwon Jung‐Dae , Kim Yonghun , Cho Byungjin
Published: June 2021

Artificial synapses based on 2D MoS2 memtransistors have recently attracted considerable attention as a promising device architecture for complex neuromorphic systems. However, previous memtransistor devices occasionally cause uncontrollable analog switching and unreliable synaptic plasticity due to random variations in the field‐induced defect migration. Herein, a highly reliable 2D MoS2/Nb2O5 heterostructure memtransistor device is demonstrated, in which the Nb2O5 interlayer thickness is a critical material parameter to induce and tune analog switching characteristics of the 2D MoS2. Ultraviolet photoelectron spectroscopy and photoluminescence analyses reveal that the Schottky barrier height at the 2D channel–electrode junction of the MoS2/Nb2O5 heterostructure films is increased, leading to more effective contact barrier modulation and allowing more reliable resistive switching. The 2D/oxide memtransistors attain dual‐terminal (drain and gate) stimulated heterosynaptic plasticity and highly precise multi‐states. In addition, the memtransistor devices show an extremely low power consumption of ≈6 pJ and reliable potentiation/depression endurance characteristics over 2000 pulses. A high pattern recognition accuracy of ≈94.2% is finally achieved from the synaptic plasticity modulated by the drain pulse configuration using an image pattern recognition simulation. Thus, the novel 2D/oxide memtransistor makes a potential neuromorphic circuitry more flexible and energy‐efficient, promoting the development of more advanced neuromorphic systems.
The Role of Computational Chemistry in Discovering and Understanding Organic Photocatalysts for Renewable Fuel Synthesis
Authors: Prentice Andrew W. , Zwijnenburg Martijn A.
Published: June 2021

In this review the role computational chemistry plays in helping to rationalize the ability of organic materials, such as conjugated polymers, to drive photocatalytic water splitting and CO2 reduction, and the discovery of new organic photocatalysts, is reviewed. The ways in which organic photocatalysts differ from their inorganic counterparts, the mechanism by which such materials, when illuminated, reduce protons or CO2 and oxidize water or sacrificial donors, and how this can be studied using computational methods, as well as the high‐throughput virtual screening of organic materials as photocatalysts, are discussed. Finally, the current opportunities and challenges associated with studying photocatalysts computationally, are examined.
Transparent Power‐Generating Windows Based on Solar‐Thermal‐Electric Conversion
Authors: Zhang Qihao , Huang Aibin , Ai Xin , Liao Jincheng , Song Qingfeng , Reith Heiko , Cao Xun , Fang Yueping , Schierning Gabi , Nielsch Kornelius , Bai Shengqiang , Chen Lidong
Published: June 2021

Integrating transparent solar‐harvesting systems into windows can provide renewable on‐site energy supply without altering building aesthetics or imposing further design constraints. Transparent photovoltaics have shown great potential, but the increased transparency comes at the expense of reduced power‐conversion efficiency. Here, a new technology that overcomes this limitation by combining solar‐thermal‐electric conversion with a material's wavelength‐selective absorption is presented. A wavelength‐selective film consisting of Cs0.33WO3 and resin facilitates high visible‐light transmittance (up to 88%) and outstanding ultraviolet and infrared absorbance, thereby converting absorbed light into heat without sacrificing transparency. A prototype that couples the film with thermoelectric power generation produces an extraordinary output voltage of ≈4 V within an area of 0.01 m2 exposed to sunshine. Further optimization design and experimental verification demonstrate high conversion efficiency comparable to state‐of‐the‐art transparent photovoltaics, enriching the library of on‐site energy‐saving and transparent power generation.
Clinical outcomes after 4.5 years of eliglustat therapy for Gaucher disease type 1: Phase 3 ENGAGE trial final results
Authors: Mistry Pramod K. , Lukina Elena , Ben Turkia Hadhami , Shankar Suma P. , Baris Feldman Hagit , Ghosn Marwan , Mehta Atul , Packman Seymour , Lau Heather , Petakov Milan , Assouline Sarit , Balwani Manisha , Danda Sumita , Hadjiev Evgueniy , Ortega Andres , Foster Meredith C. , Gaemers Sebastiaan J. M. , Peterschmitt M. Judith
Published: June 2021

Eliglustat, an oral substrate reduction therapy, is approved for eligible adults with Gaucher disease type 1. In the Phase 3 ENGAGE trial of previously untreated adults with Gaucher disease type 1, eliglustat‐treated patients had statistically significant improvements in organ volumes and hematologic parameters compared with placebo in the 9‐month primary analysis. We report final outcomes by time on eliglustat among all patients who participated in the ENGAGE trial and extension. No patient deteriorated clinically or withdrew due to adverse events; 39/40 patients entered the open‐label extension period and 34/40 (85%) remained in the trial until completion or switching to commercial eliglustat after its approval (2.3–6 years). Clinically meaningful improvements in Gaucher disease manifestations were seen in all patients concomitant with reductions in pathological lipid substrate levels (glucosylceramide and glucosylsphingosine). Among patients with 4.5 years of eliglustat exposure, mean spleen volume decreased by 66% (from 17.1 to 5.8 multiples of normal [MN], n = 13), mean liver volume decreased by 23% (from 1.5 to 1.1 MN, n = 13), mean hemoglobin increased 1.4 g/dl (from 11.9 to 13.4 g/dl, n = 12), mean platelet count increased by 87% (from 67.6 to 122.6 × 109/L, n = 12), median chitotriosidase decreased by 82% (from 13 394 to 2312 nmol/h/ml, n = 11), median glucosylceramide decreased by 79% (from 11.5 to 2.4 μg/ml, n = 11), median glucosylsphingosine decreased by 84% (from 518.5 to 72.1 ng/ml, n = 10), and mean spine T‐score increased from −1.07 (osteopenia) to −0.53 (normal) (n = 9). The magnitude of improvement in Gaucher disease manifestations and biomarkers over time was similar among the full trial cohort. Eliglustat was well‐tolerated and led to clinically significant improvements in previously untreated patients with Gaucher disease type 1 during 4.5 years of treatment.