bluuebunny/crossref_metadata_2025 huggingface dataset:
A Multi-Lab Registered Replication and Extension of IJzerman et al. (2012): Social exclusion leads to lower peripheral temperatures
Authors: Lazarevic Ljiljana B. , Valerjev Pavle , IJzerman Hans , Purić Danka
Published: March 2022

The authors replicated a study by IJzerman et al. (2012), which concluded that the experimental condition of social exclusion (vs. inclusion) in the Cyberball computer game decreases peripheral index finger temperature, but did so with a sample size smaller than the authors calculated was needed for their minimum effect size of interest (N=41 in the original; N=95 would be enough to replicate the effect with over 95% power even if it is 15% smaller than the original effect), in a single lab in a colder country (the Netherlands), yet concluded generalizability. The study received considerable news coverage (e.g., in the New York Times) and is well-cited (223 at the time of writing). The authors seek to overcome the limitations of the previous study by conducting a highly-powered replication of the effect (projected minimum N=500) in 8 different countries in 3 different climatic regions (Croatia, Serbia, Bosnia, France, Turkey, Singapore, Nigeria, and Poland). The authors also extended the study by measuring body parts other than the index finger (pinky finger, supraclavicular, and wrist) and measured a selection of questionnaires that have been shown to be of relevance for social thermoregulatory mechanisms. Given the considerable power of the study and the inclusion of different climatic regions, these extensions can advance theory on social thermoregulation in various important ways.
Loneliness Before and During the COVID-19 Pandemic: A Systematic Review with Meta-Analysis
Authors: Ernst Mareike , Niederer Daniel , Werner Antonia M. , Czaja Sara J. , Mikton Christopher , Ong Anthony , Rosen Tony , Brahler Elmar , Beutel Manfred E.
Published: March 2022

The COVID-19 pandemic and measures aimed at its mitigation, such as physical distancing, have been discussed as risk factors for loneliness, which increases the risk of premature mortality and mental and physical health conditions. To ascertain whether loneliness has increased since the start of the pandemic, this study aimed to narratively and statistically synthesize relevant high-quality primary studies. This systematic review with meta-analysis was registered at PROSPERO (ID CRD42021246771). Searched databases were PubMed, PsycINFO, Cochrane Library/Central Register of Controlled Trials/EMBASE/CINAHL, Web of Science, the WHO COVID-19 Database, supplemented by Google Scholar and citation searching (cutoff date of the systematic search 05/12/2021). Summary data from prospective research including loneliness assessments before and during the pandemic were extracted. Of 6,850 retrieved records, 34 studies (23 longitudinal, 9 pseudo-longitudinal, 2 reporting both designs) on 215,026 participants were included. Risk of bias (RoB) was estimated using the ROBINS-I tool. Standardized mean differences (SMD, Hedges’ g) for continuous loneliness values and logOR for loneliness prevalence rates were calculated as pooled effect size estimators in random-effects meta-analyses. Pooling studies with longitudinal designs only (overall N = 45,734), loneliness scores (19 studies, SMD = 0.27 [95% confidence interval = 0.14-0.40], Z = 4.02, p < .001, I2 = 98%) and prevalence rates (8 studies, logOR = 0.33 [0.04-0.62], Z = 2.25, p = .02, I2 = 96%) increased relative to pre-pandemic times with small effect sizes. Results were robust with respect to studies’ overall RoB, pseudo-longitudinal designs, timing of pre-pandemic assessments, and clinical populations. The heterogeneity of effects indicates a need to further investigate risk and protective factors as the pandemic progresses to inform targeted interventions.
Cutaneous Pili Migrans: A Rare Case from North India
Authors: Bhattacharya Ipshita , Dhali Tapan , Dsouza Paschal , Choudhary Vishnu
Published: March 2022

Cutaneous Pili Migrans (CPM) is a rare creeping eruption with only 40 cases reported so far. CPM is defined as a condition where a hair shaft or fragments gets embedded in superficial skin. It is known to affect both adults and children. We report a 23-year-old male patient who presented with sudden sharp pain in the foot on walking. Cutaneous examination revealed a black linear thread-like lesion on the medial plantar aspect of the right great toe associated with mild to moderate tenderness. The particle was removed by superficial paring along with gentle forceps extraction. Microscopic examination confirmed it to be a hair shaft fragment. While the exact etiology of CPM is unclear, it is proposed to be an acquired condition. Since it can mimic other creeping eruptions like Larva migrans, it is important to be aware of this condition.
Study of Correlation of Severity and Quality of Life in Patients with Congenital Ichthyosis
Authors: Hemrajani Priyanka , Sharma Mona , Dhali Tapan Kumar , B.C. Sharath Kumar
Published: March 2022

Introduction: Congenital ichthyosis is a disorder of cornification of skin with various cutaneous symptoms. Quality of life is a subjective perception of patients regarding their disease status and treatment received. Dermatological disorders have poor quality of life associated with them as any other systemic disease.
Objective : The present study was conducted to assess the quality of life among patients of congenital ichthyosis, so that suitable remedial measures may be devised based on the same.
Materials and Methods: It was a hospital based cross-sectional study with total 120 patients enrolled for study duration of one year .Children’s Dermatology Quality Life Index (CDLQI) questionnaire was used to assess the quality of life among patients. Global disease severity scale and VAS scale for severity of ichthyosis was used along with recording of socio-demographic details.
Results: With a response rate of 87%, the sample size comprised of 104 subjects, aged between 0-15 years. Females outnumbered the sample by more than 2/3rd. ‘Symptoms and feelings’ was the most affected domain in the CDLQI. Itching, female gender and presence of scales were significant predictors of poor quality of life scores.
Conclusion: The present study shows the epidemiological correlation of patients with congenital ichthyosis and the predictors of poor quality of life score. Regular subjective assessment of quality of life among patients should be included in routine clinic visits, as counselling plays a very important role in these patients.
Bringing journalism back to its roots: examining fact-checking practices, methods, and challenges in the Mediterranean context
Authors: Moreno-Gil Victoria , Ramon-Vegas Xavier , Mauri-Ríos Marcel
Published: March 2022

The rise of fact-checking as an innovative tool aimed at improving democratic well-being has become a transnational movement in journalism. In June 2021, the Duke Reporters’ Lab database features 341 such initiatives around the world, including 33 active fact-checking projects in countries pertaining to the Mediterranean or Polarized Pluralist Model (Hallin; Mancini, 2004). Following previous research on fact-checking in other territories, this qualitative study expands the understanding of how this practice is performed by four platforms of countries belonging to this journalistic culture: Maldita.es (Spain), Les Surligneurs (France), Observador (Portugal), and Pagella Politica (Italy). Through in-depth interviews with their decision-makers, this work offers a deep understanding of the structure, agenda, practices, and values, the role of the public, and the challenges that these organizations face. Normally run by small but multidisciplinary teams, the studied initiatives show high levels of transparency and a tendency for continuous improvement and professionalization despite their limitations. Following the example of leading initiatives in the USA, the UK, Latin America and Europe, the analyzed organizations cover a wide range of thematic areas and make use of the latest digital tools. They employ robust methodologies when selecting the content they verify, consult an extensive range of sources, and set various control filters before publication, which proves their commitment to transparency and accountability. Furthermore, they guarantee the right of reply and are widely open to public participation and broader dissemination of their work through mainstream media. From difficulties in accessing public information to scarcity of resources and increased competition, fact-checking platforms in the Mediterranean context face major challenges that have forced them to rethink their role and find new revenue streams. These organizations highlight the need to enhance the impact of fact-checking among citizens, journalists, and politicians and, ultimately, to go back to the roots of journalism.
RedefiniciÃ³n de metacompetencias, competencias y habilidades de los periodistas digitales
Authors: LÃ³pez-GarcÃ­a XosÃ©
Published: March 2022

La transiciÃ³n digital ha conducido al periodismo y a los periodistas a un escenario, el que conforma el ecosistema comunicativo actual, que demanda renovadas competencias y habilidades para el ejercicio de la profesiÃ³n. En tres dÃ©cadas de mudanzas, hemos pasado de las primeras migraciones digitales, la apariciÃ³n de medios nativos digitales, la llegada de los blogs, el auge de la comunicaciÃ³n mÃ³vil, la entrada en escena de las redes sociales, el auge de la web social, la aplicaciÃ³n de la realidad virtual a algunas piezas, la emergencia de la inteligencia artificialâ€¦ hasta la entrada en escena del 5G o la tecnologÃ­a blockchain. El trÃ¡nsito ha implicado dejar atrÃ¡s la comunicaciÃ³n de uno a muchos para poner en primer plano la comunicaciÃ³n de muchos a muchos, que nos ha situado en una sociedad lÃ­quida y â€œplataformizadaâ€. La comunicaciÃ³n estÃ¡ en el ambiente -es ubicua-, la desinformaciÃ³n nos acompaÃ±a en cada movimiento y los desafÃ­os a la hora de construir sociedades mejor informadas se multiplican. Los periodistas, si quieren contar lo que ocurre en esta compleja sociedad red, precisan competencias y habilidades actuales. Los planes formativos tratan de dar respuestas a este desafÃ­o mientras se multiplican las reflexiones sobre las mejores fÃ³rmulas que combinen competencias y habilidades socioculturales y sociotecnolÃ³gicas. El desafÃ­o reclama, tras esta fase de experimentaciÃ³n, una renovaciÃ³n de propuestas para la segunda mitad de la tercera dÃ©cada del milenio.
Cultivation of Arthrospira platensis in heterotrophic and mixotrophic conditions with different concentrations of whey
Authors: Velioğlu Tosuner Zülfiye , Öztürk Ürek Raziye
Published: March 2022

Wastes left over from human food production is commonly used to produce feed for animals, which is an important issue for a rational utilization of food sources globally, and a topic that attracts researcher for the establishment of best food production management. Whey as a side product from cheese production has great potentials in terms of nutritional value for both human food and animal feed production. This study aimed to investigate the possible use of whey (1, 10 and 30%, v/v) as an external carbon source for mixotrophic and heterotrophic cultivation of the cyanobacterium Arthrospira platensis. The highest specific growth rate (µ = 0.2 day-1), protein (3.76 ±0.14 mg/ g cell) and lipid (4.67 ±0.18 mg/g cell) contents were detected in heterotrophic culture while the highest chlorophyll-a (292.39 ±1.31 mg/ g cell) and total carbohydrate (1.42 ±0.07 mg/ g cell) contents were found in mixotrophic culture. In heterotrophic cultivation, it can be noted that the absorbed organic carbon source increased cell counts and triggered especially lipid production. In the mixotrophic cultivation, carbon absorbed from the culture medium or CO2 captured with chlorophyll was utilized in the production of total carbohydrate. This study provides evidence that a cyanobacterium can adapt to heterotrophic conditions without light, creating an example for an economic and ecological production model for biochemical components.
Level of Agitation of Patient in the Emergency Department
Authors: A. Downey La Vonne
Published: March 2022

His primary purpose of this study was to determine the level of agitation that psychiatric patients exhibit upon arrival at the emergency department. The secondary purpose was to determine whether the level of agitation changed over time depending upon whether the patient was restrained or unrestrained. Methods: This study was a convenience study of psychiatric patients who presented to a level one trauma center. The patient’s level of agitation upon arrival and for every 30 minutes for 3 hours was assessed using the Sedation Assessment Tool. A comparison was made of SAT scores using SPSS v25 between patients who were and were not restrained. Results: This study demonstrating that the most agitated patients were the ones who were restrained. However, few psychiatric patients in this study were restrained. Additionally, the level of agitation decreased for most subjects whether restraints were used or not within the 90-minute time frame. Conclusions: This study found that most psychiatric patients were not agitated upon arrival to the E.D. Those that were the most agitated E.D. patients did calm down even when they were not restrained. These results suggest that we should consider and evaluate the benefits of using alternatives to restraints for psychiatric patients in the E.D.
Physico-Chemical Properties of Indigofera Zollingeriana Seed Oil
Authors: J.O Alagbe , M.O Adedeji , Z Habiba , Gloria Nwosu , Comfort Wyedia Dabara
Published: March 2022

The objective of the present study is to examine the physico-chemical properties of Indigofera zollingeriana seed oil. Physico-chemical parameters of oils are important in the determination of edibility and other industrial applications. All the laboratory analysis were carried out using standard procedures according to AOAC (2000). The acid value, peroxide value, iodine value, saponfication value, refractive index and free fatty acids of cold pressed Indigofera zollingeriana seed oil was found to be 17.11 mg NaOH/g, 23.04 meq/kg, 180.4 gI2/100g, 118.7 mg/KOH/g and 14.10 %. The refractive index (20oC) and specific gravity (25oC) was 2.01 and 1.02 respectively. The extracted oil was Indigo in colour at liquid state. It was concluded the oil has a high acid value, peroxide value and free fatty acid which favours the use of the oil for industrial use such as soap production and cosmetics.
The Missing Link in the Human Thermoregulation Systems
Authors: Ibraimov Abyt , Akhunbaev Stalbek , Uzakov Orozali
Published: March 2022

The study of human thermoregulation is one of the most developed areas of modern physiology and medicine. This is due to the important role of temperature in normal and pathological conditions. Directly or indirectly almost all systems and organs are involved in maintaining of relatively constant temperature in the body, since their normal functioning is closely related to the temperature of the internal environment (temperature homeostasis). Currently, the existence of two systems of thermoregulation is recognized: a physiological organ-based system with a center in the hypothalamus and a molecular system, which manifests itself in the form of the production of proteins (heat shock- and cold shock proteins) and by activation of RNA thermometers in response to heat or cold shock. Based on studies of the variability of chromosomal heterochromatin regions in the genome of human populations permanently living in various climatic and geographical conditions of Eurasia and Africa, as well as individuals well adapted to the extreme conditions of the high altitudes of the Pamirs and Tien-Shan (mountaineers) and the Far North (oil drillers of the Yamal Peninsula, Eastern Siberia), we came to the conclusion that, apparently, there is a third system of thermoregulation at the cellular level (cell thermoregulation). By cell thermoregulation, we mean the removal of excess heat from the nucleus of an interphase cell in order to avoid the harmful effects of high temperature on the complex molecular processes occurring in the nucleoplasm. We believe that some intracellular formations (a dense layer of condensed chromatin around the nucleus, nucleoli, chromocenters and other membraneless bodies) serve as a structural basis for the removal of heat from the cell nucleus, because the material basis of all these temporary structures in the interphase nucleus is the chromosomal heterochromatin regions. In this review, we discuss a set of data, which indicate that cell thermoregulation, may be a missing link between organism and molecular level in maintaining temperature homeostasis in the human body.
Human Chromosomal Q-heterochromatin Regions as a System
Authors: Ibraimov Abyt , Akhunbayev Stalbek , Uzakov Orozali
Published: March 2022

The eukaryotic genome consists of the two forms of chromatin: euchromatin and heterochromatin. The DNA of euchromatin contains the gene portion of the genome, while heterochromatin is represented predominantly from non-coding repetitive nucleotide sequences that do not encode proteins or enzymes. In higher eukaryotes, some part of the non-coding, highly repetitive nucleotide sequences were transformed into complex forms of DNA organization as chromosomal constitutive heterochromatin regions. There are two types of constitutive heterochromatin: C- and Q-heterochromatin. C-heterochromatin is found in the chromosomes of all eukaryotic cells, while Q-heterochromatin is found in the karyotype of only three higher primates (Homo sapiens, Gorilla gorilla and Pan troglodytes). Since the discovery of the position effect variegation phenomenon C-heterochromatin has been attributed to gene silencing effects. Dosage compensation of genes is another epigenetic gene silencing mechanism that makes it possible to equalize the level of expression of sex-linked genes in males and females. In mammals, this is done by inactivating one X chromosome in the cells of females using facultative heterochromatin, which is a heterochromatinized euchromatin. However, no epigenetic gene silencing was found in chromosomal Q-heterochromatin regions (Q-HRs). The question is discussed why human chromosomal Q-HRs does not exhibit gene silencing or other epigenetic effects and what their biological role might be.
On the question of the correlation and effective implementation of state and social services
Authors: Kostennikov Mikhail V.
Published: March 2022

The institute of public services is relatively new for the Russian law and order, the introduction into the administrative activities of public authorities and management has made it possible to improve the quality of interaction between the state and the citizen, to minimize the corruption component of such interaction. Despite improvements in the quality of interaction between the state and the citizen through public services, there are a number of legal and organizational problems in this direction that need to be addressed.
“Solar” cases: could Italy’s withdrawal from the Energy Charter Treaty lead to its collapse?
Authors: Ermakova Elena P.
Published: March 2022

The article notes that investments in solar energy have already led to a number of arbitration cases related to the subsequent change in investment incentives. The so-called Solar Cases, initiated by investors under the Energy Charter Treaty (ECT) against Kingdom Spain, Italy and the Czech Republic, focused on the question of whether states could adjust incentives (subsidies and feed-in tariffs) to the detriment of investors after these investors relied on these subsidies to make their investments. Following the results of these arbitration proceedings, the European Union in 2019 decided to revise the text of the ECT. Eight rounds of negotiations were held during 2020 and 2021, the last of which took place in November 2021. Many believe that the reform of the existing treaty has taken too long. In February 2021, France sent a letter to the European Commission on the need for a coordinated EU exit from the ECT. Against this background, Italy’s withdrawal from the ECT on January 1, 2016, as well as Russia’s withdrawal of the signature on the treaty in 2018, are actions that determine the inevitable collapse of the ECT in the very near future. This article is devoted to the study of the causes and legal consequences of these events. Since Russia’s withdrawal from the ECT has already been the subject of study by many Russian and foreign scholars, the author focused their attention on the study of Italian arbitration disputes based on the ECT provisions, as well as on the study of foreign doctrine on this issue.
Pola Konsumsi dalam Implementasi Gaya Hidup Halal
Authors: Rohim Ade Nur , Priyatno Prima Dwi
Published: March 2022

Gaya hidup halal diimplementasikan dengan diawali upaya membangun awareness akan kehalalan produk yang dikonsumsi. Seiring meningkatnya jumlah konsumsi halal baik di level nasional maupun global, minat masyarakat terhadap konsumsi halal juga mengalami peningkatan. Kondisi ini akan menjadikan gaya hidup halal semakin berkembang di masyarakat, dengan dukungan Pemerintah melaui pengembangan industri halal di berbagai sektor. Artikel ini bertujuan untuk mengeksplorasi pola konsumsi islami yang mengimplementasikan gaya hidup halal. Penelitian ini menggunakan metode kualitatif deskriptif dengan data sekunder yang dihimpun melalui data kepustakaan (library research). Penelitian ini menyimpulkan implementasi gaya hidup halal dalam berkonsumsi dilakukan dengan mengaktualisasikan makna dan tujuan konsumsi dalam Islam, serta turut menjaga prinsip halal dan baik atas makanan yang dikonsumsi. Selain itu, konsumen muslim juga dituntut untuk menghindari perilaku tabzir dan israf. Pola tersebut dilengkapi dengan mengalokasikan sebagian hartanya untuk berdonasi. Penelitian ini merekomendasikan untuk dilakukan upaya peningkatan produksi barang dan makanan halal dengan standar sertifikasi halal, sehingga akan mendorong peningkatan konsumsi halal di masyarakat sehingga menjadi gaya hidup modern.
The Role of Nudges as Behavioral Regulation Tools for Smart Cities: A Comparative Perspective on New York and Sao Paulo
Authors: Fernandes Luiz , Oliveira Rafael
Published: March 2022

The present paper aims to do a parallel between the city of New York and Sao Paulo, which are cities that, in a comparative model, have many differences when it comes to the application of the concepts of smart cities and the objectives of the 2030 Agenda. Speaking in the smart city refers to the idea of safety, modern means of transport with reduction or neutralization in the emission of greenhouse gases, greater locomotive technology, economy, social cohesion, use of renewable energy methods, and greater contact of human beings with nature, as exposed in the IESE Cities in Motion Index 2020. The article will present the notion of a Smart City and will assess whether the cities of New York and Sao Paulo fulfill the requirements to fit into the notion of smart cities. In the end, the text will demonstrate the importance of behavioral regulation, with an emphasis on nudges, for the implementation of smart cities.
Heuri: A scrabble© playing engine using a probability-based heuristic
Authors: González Romero Alejandro , Alquézar Mancho René , Ramírez Flores Arturo , González Acuña Francisco , García Olmedo Ian
Published: March 2022

The game of Scrabble has been successfully tackled by two engines: Quackle and Maven. They attain the state-of-the-art in Computer Scrabble. These engines use simulation techniques and precalculated values to achieve superhuman play. This paper presents a Scrabble-playing engine, Heuri, which achieves world championship standards when playing in Spanish, and a very high level when playing in English and French, without using brute-force approaches.One advantage of Heuri is that its calculations, as opposed to many in Quackle, are not precomputed and instead performed for every turn. Spanish match results of different versions of Heuri against humans and two versions of Quackle are presented in this paper. Results against Quackle, in English and French, are also given. The main goal of this paper is to enrich Computer Scrabble with the description of a Scrabble playing program, Heuri, which is differently designed from earlier ones such as Maven and Quackle. An additional goal is to give Scrabble players an excellent strategy for obtaining championship level in Spanish.
An improved GRNN model and prediction of noctiluca density
Authors: Kang Yan , Song Jinling , Jia Dongyan , Li Ruidong
Published: March 2022

In order to accurately predict noctiluca density, a new prediction model PSO-GRNN was constructed according to the relationship between noctiluca density and environmental factors. Particle swarm optimization (PSO) algorithm was used to obtain the optimal smoothing factor of generalized regression neural network (GRNN) in this model, that could reduce human subjective influence and improve the generalization ability and performance of generalized regression neural network. The dissolved oxygen, water temperature, total nitrogen, salinity, phytoplankton density and soluble inorganic phosphorus were taken as the model input, and the noctiluca density was taken as the model output. Finally, the new model and other traditional models were both tested, and the prediction results of the improved model were compared with other traditional models. The experimental results showed that the improved new model had high accuracy in the prediction of noctiluca density, and could indirectly realize the early prediction of red tide.
Improvement of the “big but not strong” situation of manufacturing industry in China from the perspective of China-US comparison based on gravity model and sustainable livelihood framework
Authors: Xu Liangping , Wang Yaowu , Liu Yi
Published: March 2022

Compared with the United States, the “large but not strong” situation of China’s manufacturing industry is still prominent. The reasons are, in addition to the “two-end squeeze” of “re-industrialization” of developed countries and emerging economies relying on low-cost advantages to build new “world factories”, China’s development shows weak core competitiveness, few leading companies and brands, fragmented production chains, low labor productivity in manufacturing, weak technological innovation capabilities, internal disadvantages such as insufficient support for high-end factors required for manufacturing industry development and the need to optimize the business environment, which should arouse greater attention. Therefore, based on Gravity Model, Sustainable Livelihood Framework and Core Competitive theory were used to find the reason and solution, and there is still a long way to go to build a strong manufacturing country.
Design of conveyor separation device for potato harvester and analysis of its vibration characteristics
Authors: Xin Lili , Liang Jihui
Published: March 2022

In view of the influence of vibration factors on the vibration characteristics of potato harvester, to study the effect of vibration parameters on the dynamic characteristics of the system and harvested potato quality, in this paper an indoor conveyor separation device for potato harvester with adjustable two-way synchronous conveying vibration parameters was designed. The device, with double-side chain drive to improve conveying efficiency and replaceable eccentric parts to change vibration parameters, allows the system to harvest potatoes under optimal working conditions. A simulation analysis of a dynamics model of the system, which was first established, was carried out. A potato soil separation test was conducted using the vibration testing system and acceleration sensor, and its data was compared with the simulation data to verify the correctness of the model. The results showed that the eccentricity, rotation speed, and inclination had an impact on the potato-soil separation rate and the vibration of the system. The analysis showed that the system had a higher potato-soil separation rate and slighter vibration under optimal working conditions, that is, eccentricity of 0.023 m, rotation speed of 130 r/min, and inclination of 26∘.
Safety warning of coal mining face based on big data association rule mining
Authors: Meng Fanqiang , Li Chunxia
Published: March 2022

The hidden danger of accidents seriously threatens the safety of the working face of coal mining. By digging the internal association rules of hidden danger, the construction of safety warning rule base can improve the ability of coal mining enterprises to deal with hidden danger as soon as possible. Coal mining work face hazards are analyzed with three types of hazard theory, and the types, attributes and dimensions of hidden accidents in coal mining face are studied, combined with the production practice of coal mining working face, and referring to the thought and method of “5W1H”. Then, the structure of safety early warning knowledge base is studied and the key of safety early warning knowledge base is put forward. On this basis, the paper designs the mining model of mining face data to mine the association rules of accident hidden danger data. The empirical analysis shows that the rule base of safety warning can be used to deal with hidden danger of coal mining working face, and realize the early warning of hidden danger of accident, providing a method for dealing with hidden danger of coal mine accident and managing dangerous source.
Identification of spaces with cluster infection risks in small cities in China based on spatial syntax and GIS
Authors: Sun Ming , Jiao Xueyu
Published: March 2022

Among modern cities developing in a large-scale, extensive and unbalanced manner, smaller cities are relatively lagged behind due to relatively underdeveloped infrastructure, inadequate capital and technology talents, and insufficient attention from the national government, and thus they are more vulnerable when hit by unexpected disasters. The rampant pandemic of coronavirus disease 2019 (COVID-19) has made it even clearer that small cities must be equipped with stronger abilities to timely identify and prevent potential disease outbreaks. This paper takes Zhaodong City as an example to study how to better locate spaces with cluster infection risks in small cities. It combines spatial syntax, points of interest (POI), and geographical information system (GIS), and adopts hotspot analysis, average nearest neighbour analysis, kernel density estimation and other methods, to identify and locate potentially vulnerable spaces in neighbourhoods with relatively frequent people-to-people contact and thus higher disease transmission risks. Results show that there are three point-space, four line-space, and one plane-space with high risk of outbreaks in Zhaodong City, verifying the efficacy of the identification method for small cities.
SOH estimation of Li-ion battery based on FA-BPNN-K-means optimization algorithm
Authors: Zhang Fujian , Ye Weidong , Lei Guoping , Liu Yingying , Wang Xian
Published: March 2022

The power battery is a key component of the electric vehicle, and its State of health (SOH) parameters directly affect the safety and reliability of the electric vehicle. Considering the problem of the reduced SOH estimation accuracy of Li-ion battery, this paper proposes a joint algorithm of the firefly algorithm-back propagation neural network K-means (FA-BPNN-K-means) for SOH estimation to alleviate the wide voltage platform and severe polarization. In particular, the BPNN model of the battery is first established. The ohmic resistance, polarization resistance, and polarization capacitance of the battery are used as the input parameters of the model, and SOH was used as the output parameters. Secondly, the firefly algorithm (FA) is used to optimize BPNN for SOH estimation of Li-ion battery, solving the problem that BPNN is easy to fall into the local minimum and the convergence rate is slow. Finally, the predicted output of the FA-BPNN model is substituted into the K-means algorithm for clustering, and the data points for evaluation are obtained to reduce the cumulative error caused by the battery model. Compared with the BPNN algorithm, FA-BPNN-K-means joint optimization algorithm, obtaining lower error in SOH estimation, and it has good convergence. Besides, it is accompanied by higher prediction accuracy, which can guarantee the stable operation of the battery management system.
Collaborative optimization method of transportation planning and land use and its system unit decision making
Authors: Qi Lin , Pei Yulong , Dong Jun
Published: March 2022

This paper proposes a collaborative optimization method for transportation planning and land use. This method combines system dynamics models, structural equations, DEA evaluation and BP neural network technology to construct a complete transportation planning and land use collaborative optimization system. In this system, system unit determination is a key problem, which has a different relationship with each stage. This paper uses the DEMATEL model to construct a causality diagram and an incidence matrix for the system units, to identify the central influencing unit and causal influencing unit of the method of collaborative optimization of transportation planning and land use. While simplifying the model through the DEMATEL model, the macro interaction mechanism between urban traffic and land use will be clarified. Further, the extracted key influence units can be micro-decomposed to construct subsystems of micro-elements, which makes preliminary preparation for the analysis of static and dynamic integration model.
Harmonic characteristics of power generation unit of centralized photovoltaic power station connected to Tibet power grid
Authors: Zhao Yilin , Jiang Xiaoyan , Li Xiaobing , Gao Pan , Shao Yanglu
Published: March 2022

Centralized photovoltaic power station is an important part of building a new power system, whose power generation unit is the main equipment of the photovoltaic power station. Therefore, it is the basis of analyzing the harmonic characteristics of photovoltaic power generation to study the harmonic generation mechanism and influencing factors of power generation units and establish the harmonic equivalent model of photovoltaic power generation units. In this paper, firstly, the harmonic generation mechanism is analyzed from the aspects of sinusoidal pulse width modulation (SPWM) and dead time of inverter. Secondly, the correlation analysis of influencing factors of output power of photovoltaic power generation unit is carried out, and then the influence of output power on harmonics is analyzed. Thirdly, the harmonic characteristic model of photovoltaic power generation unit based on actual photovoltaic power station and influencing factors is constructed. Finally, the theoretical simulation of SPWM modulation and dead time is verified and analyzed, and the simulation results of harmonic characteristics are compared with the measured data. The results show that the harmonic characteristic of the centralized photovoltaic power station is mainly to generate high-frequency odd-order harmonics, which will generate extra high-frequency even-order harmonics when the irradiation is too high or too low, and cause interharmonics when the irradiance fluctuates on the DC side of the inverter.
Numerical simulation of deformation mechanical characteristics of bolt support in high stress mine roadway
Authors: Du Peng
Published: March 2022

The traditional numerical analysis method of deformation mechanics of bolt support has the problems of poor numerical simulation effect and accuracy. In this paper, the numerical simulation of deformation mechanics of bolt support in high stress mine roadway is studied. This paper analyzes the principle of bolt in high stress mine roadway, constructs the deformation concentration parameter model of bolt support in high stress mine roadway, and calculates the bearing capacity of bolt; The elastic deformation equation of bolt support in high stress mine roadway is obtained, the energy balance control of bolt support in high stress mine roadway is realized, and the numerical simulation of deformation mechanical characteristics of bolt support in roadway is realized. The experimental results show that when the impact time is 18 ms, the deformation force of the proposed method and the actual bolt support is 286 kn, which indicates that the proposed method can obtain the deformation force results of the bolt support, and the proposed method can accurately simulate the deformation mechanical characteristics of the bolt support.
Speed control method of mineral lifting and transportation machinery based on single neuron PID
Authors: Jiao Hongtao , Wei Baoli
Published: March 2022

The current speed control methods of mineral hoisting and conveying machinery ignore the fuzzy steps of the PID control model, and the AC commutation effect of mineral hoisting and conveying machinery is poor, resulting in long delay and low accuracy of speed control. To this end, a speed control method for lifting and transporting machinery based on single neuron PID is proposed. The structure of a single neural adaptive PID speed controller is designed. A learning algorithm is introduced to optimize the AC commutation effect of the hoisting and conveying mechanical circuit. A single neuron PID controller is used to fuzzy process the input signal to form a fuzzy language set. The speed controller port is defined, and the single neuron PID control rule is designed. Using the reduction ratio of the three-phase motor speed governor, the maximum speed required for conveying minerals is calculated, and the speed control of the mineral hoisting and transporting machinery is realized. The experimental results show that the mineral lifting deviation is small, the speed regulation time is less than 4 s, the average control delay is 200 ms, and the maximum speed regulation accuracy is 99.9%. The method in this paper has certain application value and is worthy of promotion.
ICRL: Using landmark ratios with cascade model for an accurate age estimation system using deep neural networks
Authors: Badr Marwa , Sarhan Amany , Elbasiony Reda
Published: March 2022

Over the past decade, the computer vision community has given increased attention to the development of age estimation systems. Several approaches to more accurate and robust facial age estimation have been introduced. Apparent age datasets are typically collected from uncontrolled environments, leading to a number of challenges. In this paper, a cascade model system, which we called the ‘Integrated Classification and Regression with Landmark Ratios (ICRL), is introduced. Our system uses a classification model in order to learn the age label distribution, then uses this knowledge as an auxiliary input to a regression model. ICRL is based on context facial information and label distribution analysis. Facial context information is introduced through the extraction of precise facial landmark ratios. Extracted landmark ratios allow the system to distinguish each age label. The ICRL system uses a classification model to train the CNN network to learn the in-between relation of age labels. ICRL sufficiently models the aging process in the form of ordered and continuous imagery. The ICRL system minimizes the number of parameters needed as well as overall computational costs whilst maintaining robust and accurate results. Despite its simplicity, our system has outperformed other state-of-the-art approaches when applied onto the MORPH II, CLAP2015, AFAD and UTKFace datasets. ICRL achieved an overall superior predictive performance, reaching 99.67% with MORPH II, 99.51% with AFAD, 96.52 with CLAP2015, and 96.28% with UTKFace.
RETRACTED: Information entropy based attribute reduction for incomplete heterogeneous data
Authors: Wang Pei , Qu Liangdong , Zhang Qinli
Published: March 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
LDAAD: An effective label de-noising approach for anomaly detection
Authors: Pan Lujia , Kalander Marcus , Wang Pinghui
Published: March 2022

Classification algorithms are widely applied to predict failures and detect anomalies in various application areas. It is common to assume that the data and labels are correct when training, but this is challenging to guarantee in the real world. If there are erroneous labels in the training data, a model can easily overfit to these, resulting in poor performance. How to handle label noise has been previously researched, however, few works focus on label noise in anomaly detection. In this work, we propose LDAAD, a novel algorithm framework for label de-noising for anomaly detection that combines unsupervised learning and semi-supervised learning methods. Specifically, we apply anomaly detection to partition the training data into low-risk and high-risk sets. We subsequently build upon ideas from cross-validation and train multiple classification models on segments of the low-risk data. The models are used both to relabel the samples in the high-risk set and to filter the low-risk samples. Finally, we merge the two sets to obtain a final sample set with more confident labels. We evaluate LDAAD on multiple real-world datasets and show that LDAAD achieves robust results that outperform the benchmark methods. Specifically, LDAAD achieves a 5% accuracy improvement over the second-best method for symmetric noise while having a minimal detrimental impact when no label noise is present.
TDOPS: Time series based deduplication and optimal data placement strategy for IIoT in cloud environment
Authors: Muthunagai S.U. , Anitha R.
Published: March 2022

As a result of the advancements in Industry 4.0, the amount of data collected within industries are continuously expanding to achieve an innovative environment within the industry by maximizing asset usage. Meanwhile, the redundancy rate is increasing in cloud storage, which has an impact on data storage and analysis. To lower the rate of redundancy, the proposed system comprises a Time series-based deduplication technique. In the Time series-based deduplication technique, the Adaptive Multi-Pattern Boyer Moore Horspool (AM-BMH) algorithm, and Merkle tree were used to produce time-series data. Another significant challenge is that the geographically distributed cloud system has encountered that the data placement methodology with high-priced transportation costs for data transmission. To overcome this issue, an optimal data placement strategy using Modified Distribution is proposed. Thus the proposed Time Series-based Deduplication and Optimal Data Placement Strategy (TDOPS) is found to be effective when compared with the existing system. The various parameters like space reduction, efficient retrieval, data transportation costs, and data transmission time are taken into the account in the cloud environment for an evaluation. The proposed scheme saves 98 percent of storage space, 55 percent computation overhead, and improves 60% of cloud storage efficacy.
A new method research for knowledge-match and trust-based large-scale group decision making with incomplete information context
Authors: Xiao Hui-Min , Wu Shou-Wen , Wang Liu
Published: March 2022

In the process of large-scale group decision making (LSGDM), probabilistic linguistic term set (PLTS) is an useful tool to represent the preferences of expert. There is a common case that experts tend to provide incomplete preferences due to various reasons. However, previous methods which cope with the missing values never took experts′ level of cognition over alternatives and attributes into account. In reality, because of limited knowledge reservation and the complexity of decision problem, experts have diverse familiarity with each scheme and attribute. For handling the defect, we propose a novel method to fill missing preference values, based on the combination of knowledge-match degree and trust degree of experts providing reference information. We obtain the knowledge-match degree through the accuracy and reliability of preference as well as the trust degree through social network analysis technology (SNA), and use the probabilistic linguistic weighted average operator (PLWA) to integrate the referential values into preferences of the missing expert. Moreover, to solve the consensus problem at minimal cost, a consensus model based minimum adjust is developed in which the consensus degree of identified elements are all lowest at three aspects including decision matrix, internal experts and intra-group. On the basis of the trust relationship, revising the preference with low consensus guarantees regulated experts′ real aspiration. In addition, a new approach to measure the weight of sub-group is proposed in the light of trust in-degree which considers the reliability of experts in the same subgroup.The feasibility and validity of the LSGDM method are tested by using a numerical example and comparing with other methods.
Strong incidence domination in fuzzy incidence graphs
Authors: Nair Kavya R. , Sunitha M. S.
Published: March 2022

Fuzzy Incidence graph (FIG) is one of the most suitable ways to model real life problems when there is an influence of the vertices on the edges. Domination in FIG is a novel concept which has many applications. The study aims to introduce a new concept of domination in fuzzy incidence graphs using strong pairs and define strong incidence domination number (SIDN) using weight of strong pairs. Minimal strong incidence dominating set (MSIDS) is defined and some of its properties are discussed. Bounds for the SIDN and the properties of strong incidence dominating sets (SIDS) of some FIGs are investigated. Also a social application of the SIDN is obtained.
T-spherical fuzzy COPRAS method for multi-criteria decision-making problem
Authors: Fan Jianping , Han Dongshuai , Wu Meiqin
Published: March 2022

In this manuscript, we introduce a multi-criteria decision-making (MCDM) method under T-spherical fuzzy set environment. Firstly, we propose a method to use the correlation coefficient and standard deviation (CCSD) method to determine the attribute weight under T-spherical fuzzy environment, when the attribute weight information is completely unknown or partially unknown. Secondly, we introduce a T-spherical fuzzy complex proportional assessment (COPRAS) method. Finally, a numerical example is given to illustrate the application of the T-spherical fuzzy COPRAS method, and some comparative analysis is carried out to verify the feasibility and effectiveness of the proposed method.
A data-driven degradation prognostics approach for rolling element bearings
Authors: Shi Wen , Huang Yongming , Zhang Guobao , Yang Wankou
Published: March 2022

Degradation prognostic plays a crucial role in increasing the efficiency of health management for rolling element bearings (REBs). In this paper, a novel four-step data-driven degradation prognostics approach is proposed for REBs. In the first step, a series of degradation features are extracted by analyzing the vibration signals of REBs in time domain, frequency domain and time-frequency domain. In the second step, three indicators are utilized to select the sensitive features. In the third step, different health state labels are automatically assigned for health state estimation, where the influence of uncertain initial condition is eliminated. In the last step, a multivariate health state estimation model and a multivariate multistep degradation trend prediction model are combined to estimate the residence time in different health status and remaining useful life (RUL) of REBs. Verification results using the XJTU-SY datasets validate the effectiveness of the proposed method and show a more accurate prognostics results compared with the existing major approaches.