bluuebunny/crossref_metadata_2025 huggingface dataset:
Esperando chegar
Authors: Leite Daniele Cristina Santos
Published: October 2022

Foi na tarde de quarta-feira, no bairro das Rendeiras, Caruaru, Pernambuco, que seu Adelmo nos convidou para conhecer os seus sonhos. Eram sonhos que ele construiu para o seu neto, mas que também poderiam ser os meus e os seus. Apesar de não conseguir mudar a realidade do mundo como desejava, ele tenta transformar o seu redor segurando o potinho de tinta e com muita disposição. Como sucateiro, recolhe os restos dos sonhos de outras pessoas e cria novos objetos que decoram a hamburgueria Bruno’s Burger. É criando esses objetos que seu Adelmo ocupa a maior parte do seu tempo, seja dando uma nova cara a algo que parecia não ter mais utilidade ou consertando coisas, que pelo desuso, acabam quebrando em sua hamburgueria. Antigamente, esse local era conhecido por ser o antigo terminal de ônibus do bairro, no qual recebia visitas de passageiros que apareciam todos os dias no mesmo horário para evitar atrasos no trabalho. Dessa época restaram poucos registros, mas eles foram o suficiente para que flamejassem no íntimo de seu Adelmo a vontade de mudar. Hoje, aparentemente vazio e abandonado, esse local aguarda ansiosamente o dia em que irá receber visitantes que possam saborear seus deliciosos lanches pagando um preço justo e popular. Quem passa pela rua recebe de cara uma mensagem que nos lembra que é possível mudar a própria realidade, quando se muda a comunidade ao seu redor. Mas enquanto o seu sonho não fica pronto, permaneceremos esperando o dia em que poderemos visitar esse local mágico que possui um cheiro e sabor revigorante de esperança.A proposta do ensaio visual elaborado é apresentar ao leitor o personagem responsável por construir um espaço mítico, carregado de significados e lembranças, no qual anseia ajudar a comunidade em que vive.
Entre a sensibilidade e o embate: a linguagem política em Solo para Vialejo, de Cida Pedrosa
Authors: Vila Nova Gabriel Gomes
Published: October 2022

Solo para Vialejo, de Cida Pedrosa, é um livro que se destaca na literaturacontemporânea nacional. Isso foi confirmado quando, em 2020, o livro recebeu o prêmio de Melhor Livro de Poesia e de Livro do Ano pelo Prêmio Jabuti. O referido prêmio é o mais conceituado da literatura nacional, criado em 1959 pela Câmara Brasileira do Livro, e que se destaca em relação a outros prêmios por, além de premiar autores e livros, destacar todos aqueles e aquelas que participam da criação e produção de uma publicação literária. Dada sua tradição e diferencial, o prêmio também é uma iniciativa importante para o aquecimento do mercado editorial brasileiro.
“O Cinema comporta discursos”: A América Latina pelos olhos e ouvidos de Geneton Moraes Neto
Authors: Medeiros Johany Harihadny Cristovam , Nogueira Amanda Mansur Custódio
Published: October 2022

A grande concentração na produção experimental do chamado Ciclo Super-8 coincide com o período do regime militar na década de 70 e 80 e, hoje, ainda é um campo de estudo que precisa ser melhor aprofundado, tanto para compreender as questões estéticas desse cinema quanto para ajudar na compreensão do lugar em que foi produzido. Propõe-se, neste artigo, investigar os documentários América Morena I (1977) e América Morena II (1977), filmados em Super-8, pelo jornalista e cineasta recifense Geneton Moraes Neto (1956-2016). Partindo desse pressuposto, é preciso analisar a construção narrativa desses filmes, que trazem imagens de alguns países da América Latina, para entender como era produzir artisticamente em um contexto ditatorial, na década de 70, com a retomada das atividades cinematográficas no estado de Pernambuco.
A fresh look at the national penitentiary history (a brief review of the textbook by Professor Yu. A. Reent «History of the penitentiary system and justice bodies of Russia»)
Authors: Казанцев Валерий Николаевич
Published: October 2022

История отечественной уголовно-исполнительной системы представляет собой сложный и до настоящего времени неоднозначно интерпретируемый предмет научного исследования. В обзоре утверждается, что автором представляемой книги на основе большого числа нормативно-правовых, архивных, литературных и социологических материалов не просто излагаются, но и глубоко анализируются особенности основных этапов развития системы формирований, исполняющих уголовные наказания. Учебник дает обширную информацию о структуре и функциях пенитенциарных органов и учреждений, специфике их деятельности в различных социально-политических условиях. Богатое иллюстративное сопровождение позволяет читателям составить представление об условиях службы сотрудников и труда осужденных. Представленные авторские материалы и выводы позволяют лучше понять историю тюремно-лагерной, а затем и уголовно-исполнительной системы, ее связей с органами юстиции и другими государственными и социальными институтами.

The history of the national penal system is a complex and still ambiguously interpreted subject of scientific research. The review states that on the basis of a large number of regulatory, archival, literary and sociological materials,the author of the presented book not only outlines, but also deeply analyzes the features of the main stages in the development of the system of formations executing criminal punishments. The textbook provides extensive information about the structure and functions of penitentiary bodies and institutions, the specifics of their activities in various socio-political conditions. Rich illustrations allow readers to get an idea about the conditions of service of employees and the work of convicts. The presented author's materials and conclusions make it possible to understand better the history of the prison camp, and then the penitentiary system, its relations with the justice authorities and other state and social institutions.
A DESCRIPTIVE CROSS-SECTIONAL STUDY TO ASSESS THE KNOWLEDGE AND IMPORTANCE OF HAND WASHING AND ITS TECHNIQUE AMONG SCHOOL CHILDREN IN A SEMI URBAN PLACE IN SOUTH INDIA
Authors: Kamalakannan Santosh Kumar , Narayan Kishore
Published: October 2022

Background: Developing countries have an increased burden of communicable diseases which are influenced by poor personal hygiene practices. Hand washing, especially with soap and water as an effective intervention to prevent the spread of communicable diseases. Despite the proven effectiveness, the practice of effective hand washing is found to be poor in developing countries. This study is aimed at assessing the knowledge and practice of hand washing among school students Methods Design and Setting: An institution-based cross sectional study was carried out among 440 students in a school in South India. A validated semi-structured questionnaire containing 36 questions was used to collect the required data after getting a consent. Place of study: Schools around Saveetha medical college hospital, a tertiary care teaching hospital in Chennai. Results: The study was conducted among 440 students among which 255 were boys and 186 were girls. Majority of children in the population have general know the importance of hand washing in day to day life as 88.18% (n= 388). The awareness about the substance that they use for washing their hands, the time at which they washed their hands, the reason for hand washing, the awareness about infections prevented by hand washing, the awareness about hand washing technique and the steps involved, the availability of soap or sanitizer in the school were all studied and children showed good knowledge and practice about hand washing. Conclusions: To conclude, the knowledge regarding hand washing is good, but the practice of hand washing and hand washing with soap and water after using the toilet is poor.
Effectiveness of endovascular thrombectomy in patients over 80 years of age
Authors: Kim Sum , Ahn Hong Suk , Lee Jong Young , Jeon Hong Jun , Cho Byung Moon
Published: October 2022

Objective: Endovascular thrombectomy (EVT), with or without intravenous thrombolysis, has become the standard treatment for acute ischemic stroke, especially in large vessel occlusions. This study provides valuable insights about the effectiveness of EVT in these patients.Methods: We retrospectively reviewed patients who underwent EVT for acute ischemic stroke at age 80 or over between 2014 and 2022. Procedural and functional outcomes were assessed with the thrombolysis in cerebral infarction (TICI) score and National Institutes of Health Stroke Scale (NIHSS) after EVT, in comparison with the initial NIHSS. We divided patients into the improved NIHSS group, the non-improved group, and the expired group.Results: Eighty patients who underwent EVT from 2014 to 2022 were analyzed. Fifty-seven patients improved, whereas 23 patients did not improve or expired after EVT. Successful recanalization (TICI IIb or III) was reported in 88.7% of cases. The locations of occlusion differed among the groups. The most frequently discovered location of occlusion was the sphenoidal segment of the middle cerebral artery, and occlusions were most frequently discovered in the internal carotid artery in the group without NIHSS improvements.Conclusion: This study revealed that EVT in elderly patients was effective, and occlusion of a distal vessel could be a good prognostic factor. Reducing puncture time was also identified as the most important factor in elderly patients. Lastly, if TICI IIb reperfusion is discovered during the procedure, additional reperfusion attempts should be avoided.
Homogeneity Analysis of Turkish Rainfall Intensity Series
Authors: ZEYBEKOĞLU Utku , ÜLKE KESKİN Aslı
Published: October 2022

In this study, homogeneity checking the annual maximum rainfall intensity series for periods ranging from 30 to 78 years were obtained from 103 stations operated by the Turkish State Meteorological Service. Absolute homogeneity tests namely Standard Normal Homogeneity Test (SNHT), Buishand Range Test (BRT), Pettitt Test (PT), and Von Neumann Ratio Test (VNRT) were applied at a confidence level of 95%. Stations were classified inhomogeneous if at least one of the standard durations data classified suspect or doubtful. Assuming that the factor destabilizing the homogeneity is the trend, a detrended methodology (DFA) was performed. After the implementation of DFA, absolute homogeneity tests were reapplied to the series of rainfall intensity. As a result of this study 49 of 103 stations called useful all 14 standard durations. 45 of the remaining 54 stations classified useful all standard durations after trend components separated from rainfall intensity series. As a result of the analysis, it was determined that the remaining 8 of 103 stations had inhomogeneous values after the trend components were separated.
BİR TEKSTİL İŞLETMESİNİN BOYAHANE BÖLÜMLERİNDE YAPILAN VERİMLİLİK ÇALIŞMALARININ İNCELENMESİ
Authors: ARAS ELİBÜYÜK Sultan , YUMRU Şaban , ÇÖREKCİOĞLU Mustafa
Published: October 2022

Nüfusun artması, küresel ısınma, su kaynaklarının hızla tükenmesi nedeniyle su kullanımı konusunda kısıtlamalar artmış, yasalar çıkarılmakta, daha çevreci ve sürdürülebilir üretim prosesleri geliştirilmektedir. Boyahane işletmelerinde hammadde kullanımının optimize edilmesi ile ilgili çalışmaların sayısı her geçen gün artmaktadır. Yüksek su tüketiminin yanı sıra, kimyasal madde (yardımcı kimyasal, boya, vb.) ve enerji tüketimi de dikkat çekmektedir. Ön terbiye, boyama ve diğer proseslerden kaynaklanan yüksek kimyasal yük, tekstil fabrikalarında kullanılan proseslere göre değişkenlik göstermektedir.

Firmamızda tüm üretim işlemlerinde kaynakları en yüksek verimde ve performansta kullanmayı hedeflediği gibi çevre ile dost, ekonomiye katkı sağlayan çalışmaları desteklemeyi amaçlamaktadır. Boyahane bölümünde de üretim yaparken enerji, su, kimyasal vb. gibi kaynakları da tasarruflu kullanmayı hedeflemektedir. Bu çalışmada firmamızın boyahane işletmesinde HT, Parça boyama ve Pad Batch işletmelerinde yapılan verimlilik çalışmaları incelenmiştir. Boyama prosüdürlerinde en çok enerji, su ve kimyasal harcanan adımlar ortaya çıkarılmıştır. Bu kapsamda yeni alternatif çözümlerle verimlilik çalışmaları yapılmıştır. Elde edilen sonuçlar eski yöntemlerle karşılaştırılmıştır. Yapmış olduğumuz iyileştirmelere benzer çalışmalar, literatürde yer almaktadır. Fakat işletmemizde ilk defa uygulanmış, başarılı olunmuş ve diğer fabrikalara örnek olunacak proses adımları ortaya çıkmıştır.
SURDURULEBILIR VE ESNEK MIMARI YAKLAŞIMLARINA TARIHSEL SUREÇTE KURAMSAL BIR BAKIŞ
Authors: YILMAZ Halil , TOKMAN Leyla Yekdane
Published: October 2022

Günümüzde insanların istek/gereksinimlerinin farklılaşması, sürdürülebilir kalkınmanın gerekliliğinin artması sonucunda sürdürülebilir mimari ve esnek mimari yaklaşımları hızla önem kazanmaktadır. Bu çalışmada, insanların istek/gereksinimlerine cevap verebilmek ve dünyanın geleceğini korumak amacıyla, sürdürülebilir mimari ve esnek mimari yaklaşımları genel bir çerçeve içerisinde ele alınmıştır. Sürdürülebilir mimari ve esnek mimari, tarihsel süreci içerisinde incelenmiştir. Sürdürülebilirlik ile ilgili düzenlenen konferans ve toplantılara değinilmiştir.

Çalışma ile hedeflenen, sürdürülebilir mimarinin ve esnek mimarinin sürdürülebilirlik için önemli bir bileşen olduklarını vurgulamaktır. Bu anlamda, “gelecek nesiller için çevre ve insan istek / gereksinimlerine cevap verebilme” anlayışı içerisinde literatüre katkı sağlamak hedeflenmiştir.
Modeliranje elektroenergetskega trga z inteligentnimi agenti
Authors: Gubina Andrej F. , Kozan Borut , Kladnik Blaž , Medved Tomi
Published: October 2022

Naša družba se srečuje z mnogimi izzivi, ki jih pred nas postavljajo podnebne in socialne spremembe. Naš čas zaznamujejo tehnološki trendi, kot so nove tehnologije, internet stvari, računanje v oblaku, veriženje blokov in sprotno modeliranje, družbene spremembe pa se kot rezultat odražajo v ekonomiji, ekologiji, pa tudi v energetiki. Uvedba trgov z elektriko ob prelomu tisočletja je v panogi oskrbe z energijo s tradicionalno visokimi investicijami in dolgimi investicijskimi cikli povzročila revolucijo. Elektrika je postala tržno blago, trgi pa so v mnogočem spremenili strukturo in način oskrbe z energijo. Knjiga obsega tri vsebinske sklope: v poglavjih 1–5 predstavljamo splošno agentno modeliranje, trg z elektriko in ostale trende v energetiki, in osnove modeliranja trga z elektriko. Poglavja 6–8 predstavljajo inteligentne agente, koncepte njihovega učenja in splošni pregled njihovih vlog na elektroenergetskem trgu. V tretjem delu pa gremo globlje in si podrobneje ogledamo agentne modele treh ključnih akterjev na trgu: proizvajalca, odjemalca/dobavitelja in agregatorja.
Long-term trends and drivers of aerosol pH in eastern China
Authors: Zhou Min , Zheng Guangjie , Wang Hongli , Qiao Liping , Zhu Shuhui , Huang DanDan , An Jingyu , Lou Shengrong , Tao Shikang , Wang Qian , Yan Rusha , Ma Yingge , Chen Changhong , Cheng Yafang , Su Hang , Huang Cheng
Published: October 2022

Abstract. Aerosol acidity plays a key role in regulating the chemistry and toxicity of atmospheric aerosol particles. The trend of aerosol pH and its drivers is crucial in understanding the multiphase formation pathways of aerosols.
Here, we reported the first trend analysis of aerosol pH from 2011 to 2019
in eastern China, calculated with the ISORROPIA model based on observed gas
and aerosol compositions. The implementation of the Air Pollution Prevention and Control Action Plan led to −35.8 %, −37.6 %, −9.6 %, −81.0 % and 1.2 % changes of PM2.5, SO42-, NHx, non-volatile cations (NVCs) and NO3- in the Yangtze River Delta (YRD) region during this period. Different from the drastic changes of aerosol compositions due to the implementation of the Air Pollution Prevention and Control Action Plan, aerosol pH showed a minor change of −0.24 over the 9 years. Besides the multiphase buffer effect, the opposite effects from the changes of SO42- and non-volatile cations played key roles in determining this minor pH trend, contributing to a change of +0.38 and −0.35, respectively. Seasonal variations in aerosol pH were mainly driven by the temperature, while the diurnal variations were driven by both temperature and relative humidity. In the future, SO2, NOx and NH3 emissions are expected to be further reduced by 86.9 %, 74.9 % and 41.7 % in 2050 according to the best health effect pollution control scenario (SSP1-26-BHE). The corresponding aerosol pH in eastern China is estimated to increase by ∼0.19, resulting in 0.04 less
NO3- and 0.12 less NH4+ partitioning ratios, which suggests that NH3 and NOx emission controls are effective in mitigating haze pollution in eastern China.
Magnetopause as conformal mapping
Authors: Narita Yasuhito , Toepfer Simon , Schmid Daniel
Published: October 2022

Abstract. Magnetopause model is presented as a conformal mapping in the complex plane. The model is an analytic continuation of the power-law damped (or asymptotically elongated) parabolic shape constructed by Shue et al. (J. Geophys. Res., 102, 9497, 1997). The analytic expression of the magnetopause using the conformal mapping opens the door to properly map the magnetopause and magnetosheath coordinates from one model to another.
How biogenic polymers control surfactant dynamics in the surface microlayer: insights from a coastal Baltic Sea study
Authors: Barthelmeß Theresa , Engel Anja
Published: October 2022

Abstract. Surfactants can hamper gas exchange by up to 50 % in
coastal seas; however, their small-scale temporal and spatial dynamics are
poorly constrained. This study investigated possible biogenic sources of
surfactants in the sea surface microlayer (SML) and the underlying water at
a coastal Baltic Sea site. To relate surfactant dynamics to biogenic
production, we conducted two field studies (June and September 2018) and
focused on amino acids and carbohydrates as the main components of organic
matter derived from phytoplankton. Furthermore the composition of the biochemicals
provided insights into microbial degradation dynamics and was
complemented by flow-cytometry-based community analysis. In total, 76
samples were collected within an area of approximately 50 km2, allowing
for high spatial resolution. Moreover, morning and afternoon sampling
enabled us to investigate diel cycles. Our results reveal that
surfactant concentrations were tightly coupled to the abundance of
nano-phytoplankton and generally higher in September than in June, with cell
abundance 3 times higher. Surfactant concentration in June was best
explained by the combined effect of the particulate fraction of the
non-essential amino acid serine, the concentration of particulate combined
carbohydrates (PCHO), and dissolved organic carbon (DOC). Surfactant and
PCHO concentrations were significantly enriched in the SML and followed a
pronounced diel cycle, possibly linked to microbial processing and/or
photo-processing. In contrast to June, the surfactant pool in September
correlated to a diverse mixture of semi-labile organic matter components,
represented best by dissolved glucose and the essential amino acid
isoleucine. We conclude that the surfactant pool in surface seawater is
mainly composed of organic matter components that resist rapid microbial
degradation. Elevated surfactant concentrations are triggered by the release
of fresh organic matter. While the effect of the resistant but less
surface-active stock is potentially longer-lasting, the additive effect of
labile, highly surface-active agents on gas exchange may diminish on short
timescales.
Technical note: Novel estimates of the leaf relative uptake rate of carbonyl sulfide from optimality theory
Authors: Wohlfahrt Georg , Hammerle Albin , Spielmann Felix M. , Kitz Florian , Yi Chuixiang
Published: October 2022

Abstract. In order to estimate the gross primary productivity (GPP) of terrestrial ecosystems from the canopy uptake of carbonyl sulfide (COS), the leaf relative uptake rate (LRU) of COS with respect to carbon dioxide needs to be known a priori. Currently, the variability of the LRU between plant species in different biomes of the world is poorly understood, making the choice of an appropriate LRU uncertain and hampering further progress towards developing COS as an alternative tracer of GPP. Here we propose a novel approach for estimating LRU based on plant optimality principles, validate it against in situ leaf gas exchange measurements and provide global monthly climatological estimates. The global vegetation season average simulated LRUs fall into the range of 0.5–1.4 and are thus lower than any other published global estimates. We advocate these LRU estimates to be adopted by global modellers in order to test to what degree these are compatible with our current understanding of the sources and sinks in the global COS budget.
Pitfalls and a feasible solution for using KGE as an informal likelihood function in MCMC methods: DREAM(ZS) as an example
Authors: Liu Yan , Fernández-Ortega Jaime , Mudarra Matías , Hartmann Andreas
Published: October 2022

Abstract. The Kling–Gupta efficiency (KGE) is a widely used performance measure because of its advantages in orthogonally considering bias, correlation and variability. However, in most Markov chain Monte Carlo (MCMC) algorithms, error-based formal likelihood functions are commonly applied. Due to its statistically informal characteristics, using the original KGE in MCMC methods leads to problems in posterior density ratios due to negative KGE values and high proposal acceptance rates resulting in less identifiable parameters. In this study we propose adapting the original KGE using a gamma distribution to solve these problems and to apply KGE as an informal likelihood function in the DiffeRential Evolution Adaptive Metropolis DREAM(ZS), which is an advanced MCMC algorithm. We compare our results with the formal likelihood function to show whether our approach is robust and plausible to explore posterior distributions of model parameters and to reproduce the system behaviors. For that we use three case studies that contain different uncertainties and different types of observational data. Our results show that model parameters cannot be identified and the uncertainty of discharge simulations is large when directly using the original KGE. The adapted KGE finds similar posterior distributions of model parameters derived from the formal likelihood function. Even though the acceptance rate of the adapted KGE is lower than the formal likelihood function for some systems, the convergence rate (efficiency) is similar between the formal and the adapted KGE approaches for the calibration of real hydrological systems showing generally acceptable performances. We also show that both the adapted KGE and the formal likelihood function provide low performances for low flows, while the adapted KGE has a balanced performance for both low and high flows. Furthermore, the adapted KGE shows a generally better performance for calibrations of solute concentrations. Thus, our study provides a feasible way to use KGE as an informal likelihood in the MCMC algorithm and provides possibilities to combine multiple data for better and more realistic model calibrations.
Is the reputation of Eucalyptus plantations for using more water than Pinus plantations justified?
Authors: White Don A. , Ren Shiqi , Mendham Daniel S. , Balocchi-Contreras Francisco , Silberstein Richard P. , Meason Dean , Iroumé Andrés , Ramirez de Arellano Pablo
Published: October 2022

Abstract. The effect of Eucalyptus plantations on water balance is thought to be more severe than for commercial alternatives such as Pinus species. Although this perception is firmly entrenched, even in the scientific community, only four direct comparisons of the effect on the water balance of a Eucalyptus species and a commercial alternative have been published. One of these, from South Africa, showed that Eucalyptus grandis caused a larger and more rapid reduction in streamflow than Pinus patula. The other three, one in South Australia and two in Chile, did not find any significant difference between the annual evapotranspiration of E. globulus and P. radiata after canopy closure. While direct comparisons are few, there are at least 57 published estimates
of annual evapotranspiration of either the Eucalyptus or Pinus species. This paper presents a meta-analysis of these published data. Zhang et al. (2004) fitted a relationship between the vegetation evaporation efficiency and the climate wetness index to published data from catchment studies and proposed this approach for comparing land uses. We fitted this model to the published data for Eucalyptus and Pinus and found that the single parameter of this model did not differ significantly between the two genera (p=0.48). This was also the case for all parameters of an exponential relationship between evapotranspiration and rainfall (p=0.589) and a linear relationship between the vegetation evaporation index and rainfall (p=0.155). These results provide strong evidence that, for a given climate wetness index, the two genera have similar annual water use. The residuals compared to the model of Zhang et al. (2004) were significantly correlated with soil depth for Eucalyptus, but this was not the case for Pinus. For Eucalyptus, the model overestimates the vegetation evaporation efficiency on deep soils and underestimates the vegetation evaporation efficiency on shallow soils.
A geostatistical spatially varying coefficient model for mean annual runoff that incorporates process-based simulations and short records
Authors: Roksvåg Thea , Steinsland Ingelin , Engeland Kolbjørn
Published: October 2022

Abstract. We present a Bayesian geostatistical model for mean annual runoff that incorporates simulations from a process-based hydrological model. The simulations are treated as a covariate and the regression coefficient is modeled as a spatial field. This way the relationship between the covariate (simulations from a hydrological model) and the response variable (observed mean annual runoff) can vary in the study area. A preprocessing step for including short records in the modeling is also suggested. We thus obtain a model that can exploit several data sources. By using state-of-the-art statistical methods, fast inference is achieved. The geostatistical model is evaluated by estimating mean annual runoff for the period 1981–2010 for 127 catchments in Norway based on observations from 411 catchments. Simulations from the process-based HBV model on a 1×1 km grid are used as input. We found that on average the proposed approach outperformed a purely process-based approach (HBV) when predicting runoff for ungauged and partially gauged catchments. The reduction in RMSE compared to the HBV model was 20 % for ungauged catchments and 58 % for partially gauged catchments, where the latter is due to the preprocessing step. For ungauged catchments the proposed framework also outperformed a purely geostatistical method with a 10 % reduction in RMSE compared to the geostatistical method. For partially gauged catchments, however, purely geostatistical methods performed equally well or slightly better than the proposed combination approach. In general, we expect the proposed approach to outperform geostatistics in areas where the data availability is low to moderate.
AN OPTIMAL DEPLOYMENT METHOD OF UWB POSITIONING BASE-STATION
Authors: Li J. , Xiu C. , Yang D.
Published: October 2022

Abstract. Aiming at the prominent problem of high deployment cost of UWB (Ultra Wideband) positioning system and the waste of resources caused by repeated coverage of UWB base-station signals, the optimal deployment of the location and number of UWB positioning base stations is studied. Using Genetic Optimization Algorithm to optimize the objective function with Position Dilution of Precision (PDOP) and base-station Sharing-Value. The simulation and experimental results show that for the optimization of the location of UWB base stations, the three-dimensional average positioning error of the optimized layout method can be reduced by at least 0.3m compared with other typical layout methods; for the optimization of the number of base stations, the number by the optimized layout method is significantly lower than the typical layout method and decreases more as the actual base station deployment area increases. Therefore, the performance of the proposed method for optimal deployment of UWB positioning base stations is fully verified, which provides a reference for the optimal deployment of UWB positioning base stations in practical applications.
DEVELOPMENT AND APPLICATION OF FLOOD CONTROL AND WATERLOGGING PREVENTION INTELLIGENT MONITORING SYSTEM BASED ON SUBWAY "ONE MAP"
Authors: Li L. , Yu M. , Ma H. , Meng L. , Cui Z.
Published: October 2022

Abstract. Urban rainstorms and floods often occur, causing serious loss of life and property, and bringing great challenges to the safe operation of subways. In response to the need for prevention and control of urban subway floods and waterlogging, this project is based on geographic information technology, on the basis of "one map" of the subway, using intelligent sensing camera equipment, independent research and development of monitoring water level identification algorithms, and research and development of subway flood control and waterlogging prevention intelligent monitoring system It realizes the integrated management of sensing-transmission-analysis-knowledge-use monitoring of flood control and waterlogging prevention in subway stations. By integrating basic geographic information, monitoring points, real-time water level data and other information, the visualization of "one map" of flood control and waterlogging prevention is realized. The exhibition has greatly improved the management level of flood control and waterlogging prevention. The practical results and experience of this project can provide reference for related research in the same industry.
RESEARCH ON EMERGENCY RESPONSE SYSTEM OF DANGEROUS GOODS TRANSPORTATION VEHICLES
Authors: Yang Y. , Zhong M. , Qi H.
Published: October 2022

Abstract. Due to the flammable, explosive, corrosive, radioactive and other characteristics of dangerous goods, if a traffic accident or leakage accident occurs during transportation, it will seriously endanger public safety and the safety of people's lives and property. It is of great significance for urban safety and stability to establish a risk early warning mechanism, ensure the safe transportation of dangerous goods, and formulate emergency rescue measures. In view of the problems that may occur during the transportation of dangerous goods, such as weak supervision, low efficiency in obtaining accident information, and difficulty in emergency treatment, this paper constructed a comprehensive perception and collaborative integration of urban emergency response system by integrating vehicle target intelligent monitoring platform and decision support platform. Under the support of target detection and tracking technology, PyQt5 is used to build an intelligent vehicle target monitoring platform based on satellite video data, which realizes the real-time tracking, monitoring and early warning functions for dangerous goods transport vehicles, and can quickly complete the location of emergencies and the statistics of environmental road information after an accident. With the support of database technology and ArcGIS Engine embedded component library, a decision support platform integrating statistics and spatial analysis is constructed. GIS technology is used to realize the spatial analysis of emergency points and basic information management functions. At the same time, the platform is based on the two basic starting points of fast response to emergency events and high scheduling efficiency, which realizes the rapid determination of the accident impact area and the planning of emergency rescue routes. Taking Chengdu as an example, the emergency response system constructed in this paper can monitor dangerous goods transport vehicles in the urban area in real time, and formulate emergency response measures in seconds. The system is conducive to reducing the damage and loss caused by emergencies and improving the informatization level of emergency related departments.
IMPROVEMENT OF PEDESTRIAN DEAD RECKONING ALGORITHM FOR INDOOR POSITIONING BY USING STEP LENGTH ESTIMATION
Authors: Huang L. , Li H. , Li W. , Wu W. , Kang X.
Published: October 2022

Abstract. Pedestrian dead reckoning (PDR) can solve the position information by its inertial measurement unit (IMU), which is a method to achieve indoor autonomous positioning without deploying positioning base stations in advance. However, affected by the accumulated error, the positioning accuracy will decrease with the increase of the moving distance. To improve the indoor positioning accuracy, the step length estimation of PDR is improved. A PDR method combining the information on walking frequency, acceleration variance, and fixed step is proposed. Firstly, the pedestrian's walking steps are detected and estimated by the threshold peak method; secondly, the step frequency and acceleration variance are calculated, and the step length estimation model is fitted with the fixed step length of the pedestrian to estimate the step length of each step; then, the fusion algorithm of magnetometer, accelerometer, and gyroscope are used to estimate the heading; finally, combined with the step number, step length, and heading angle, the position information of walking is calculated by dead reckoning. The experimental results show that in the practical distance of 42.6 m, the accuracy of dead reckoning distance based on the combination of step frequency, acceleration variance, and fixed step length can reach 98.47%, which is better than the fixed step length and linear step length version, 5.09% higher than the linear step length and 0.35% higher than the fixed step length version.
APPLICATION OF POISSON PROCESS TO DROUGHT PREDICTION – THE CASE STUDY OF YUCHENG CITY
Authors: Yang Y. , Song Y.
Published: October 2022

Abstract. Open-source R language can implement quantitative research using the flexibility, adaptability and simplicity of bayesian inference models. Counts of drought which are regarded as the realizations of drought “event” in a Poisson process follows an Gamma distribution (prior distribution) in the case study of Yucheng city with the support of R language. That is, the annual drought counts in Yucheng City during the 10 years from 1974 to 1983 is regarded as the 10 realizations of the Poisson process, and the drought counts in Yucheng city during the 10 years is described by the Poisson distribution. The Gamma (1,1) of theta is used as the prior distribution, and its posterior distribution is calculated to be Gamma (60,11). The sample value of theta is obtained by random sampling from the posterior distribution of theta, and a Poisson sample is randomly generated for each value as the predicted value. The posterior mean value of theta sampling results, the mean and quantiles of the predicted value, and the probability estimation of theta and the predicted value are calculated to obtain the highest density region of theta. Studies have shown that Poisson model of drought prediction in Yucheng city has more flexibility, adaptability and simplicity and can provide posterior mean, highest-posterior density of the data, and the drought prediction of Yucheng city is a feasible method on basis of the stochastic Poisson process, thereby providing better reference value for drought reduction.
ASYMMETRIC FUZZY CLASSIFICATION NETWORKS FOR CONSTRUCTION LAND DETECTION IN HIGH RESOLUTION REMOTE SENSING IMAGES
Authors: Fang R. , Wu Z. , Song X.
Published: October 2022

Abstract. Urbanization is an essential phase of a nation's economic development. A very effective way to examine urban growth is to look at how impervious surface changes over time, however impervious surface can only show the current situation in terms of urban development. Compared to the existing methods, the use of construction bare land to monitor urban growth has the following benefits over currently used techniques. First, it is possible to track the progress of structures being constructed as part of urban expansion. The second is to assess the city's development intensity and identify the inward expansion. Therefore, the detection of construction bare land is of great significance for the development of a more sophisticated urban dynamic perception technology. This paper proposes an asymmetric fuzzy classification network (AFCNet) for detection of construction bare land scenes. The generation of fuzzy sample sets, the backbone network, and the proposed fuzzy classification module make up the method's three primary components. The deep features of the scene are then extracted using the fuzzy classification network and converted into ambiguity. Finally, the ambiguity is converted into predicted probability using the fuzzy weight vector. The fuzzy sample set is generated to introduce more prior information into the network. High-level features are extracted using the backbone network. Fuzzy classification methods based on spectral features are used to improve the performance of scene classification. The results demonstrate that the OA of our method is higher than all other comparison methods.
Impact of grid spacing, convective parameterization and cloud microphysics in ICON simulations of a warm conveyor belt
Authors: Choudhary Anubhav , Voigt Aiko
Published: October 2022

Abstract. Warm conveyor belts are important features of extratropical cyclones and are characterized by active diabatic processes. Previous studies reported
that simulations of extratropical cyclones can be strongly impacted by the horizontal grid spacing. Here, we study to what extent and in which
manner simulations of warm conveyor belts are impacted by the grid spacing. To this end, we investigate the warm conveyor belt (WCB) of the North
Atlantic cyclone Vladiana that occurred around 23 September 2016 and was observed as part of the North Atlantic Waveguide and Downstream Impact
Experiment. We analyze a total of 18 limited-area simulations with the ICOsahedral Nonhydrostatic (ICON) model run over the North Atlantic that
cover grid spacings from 80 to 2.5 km, including those of current coarse-resolution global climate models with parameterized convection, as
well as those of future storm-resolving climate models with explicit convection. The simulations also test the sensitivity with respect to the
representation of convection and cloud microphysics. As the grid spacing is decreased, the number of WCB trajectories increases systematically, WCB
trajectories ascend faster and higher, and a new class of anticyclonic trajectories emerges that is absent at 80 km. We also diagnose the
impact of grid spacing on the ascent velocity and vorticity of WCB air parcels and the diabatic heating that these parcels experience. Ascent
velocity increases at all pressure levels by a factor of 3 between the 80 and 2.5 km simulations, and vorticity increases by a factor of 2
in the lower and middle troposphere. We find a corresponding increase in diabatic heating as the grid spacing is decreased, arising mainly from
cloud-associated phase changes in water. The treatment of convection has a much stronger impact than the treatment of cloud microphysics. When
convection is resolved for grid spacings of 10, 5 and 2.5 km, the above changes to the WCB are amplified but become largely independent of
the grid spacing. We find no clear connection across the different grid spacings between the strength of diabatic heating within the WCB and the
deepening of cyclone Vladiana measured by its central pressure. An analysis of the pressure tendency equation shows that this is because diabatic
heating plays a minor role in the deepening of Vladiana, which is dominated by temperature advection.
Comparison Analysis of CNN, SVC and Random Forest Algorithms in Segmentation of Teeth X-Ray Images
Authors: Jyothi G. C. , Prakash Chetana , Babitha G. A. , Kiran Kumar G. H.
Published: October 2022

In dental diagnosis, rapid identification of dental complications from radiographs requires highly experienced medical professionals. Occasionally, depending exclusively on a expert's judgement could lead to changes in diagnosis, that could eventually lead to difficult treatment. Although fully automatic diagnostic tools aren’t still anticipated, image pattern recognition has grown into decision support, opening with discovery of teeth and its constituents on X-ray images. Dental discovery is a topic of study for more than previous two decades, depending primarily on threshold and region-based strategies. In this study, we proposed segmentation based Teeth X-Ray images using a couple of machine learning algorithms as well as deep learning algorithms i.e., Support Vector Classifier (SVC), Random Forest algorithm and Convolutional Neural network (CNN)  which would help us in accurate identification and classification. This article also presents a comprehensive comparison between these Algorithms.
Design and Analysis of Lower Limb Assistive Exoskeleton
Authors: Keerthana J. , Harish Krishna R. , Krishnamoorthy M. , Hariharan R. , Kumaresan R.
Published: October 2022

Assistive Exoskeleton is a type of ergonomic product that is based on exoskeleton support and is a chair. Standing for five hours or more each day, according to a small study, increases the risk of considerable and prolonged lower-limb muscular fatigue. Long-term back pain and musculoskeletal problems may be increased as a result of this. Meanwhile, the researchers discovered that persons who primarily stand at work are several percent more likely than "predominantly sitting populations" to suffer heart disease. Because of its big size, high weight (5 to 7 kg), and hard frame, the traditional chair is inconvenient to transport to different working locations. As a result, they are unsuited for workplaces with limited space. Because lightweight members are used, the flexible wearable chair may have a gross weight of 3 kg. It has to be constructed in such a way that workers may be comfortable while performing their activities and can adjust their sitting posture to any angle between 90 and 160 degrees. This exoskeleton can be used as an extra pair of legs to allow a person to sit without using a chair or to adopt a more comfortable position for certain occupations. Workers can walk around normally, but they must adjust and secure the supporting structure in the proper position if they want to sit or lean. The weight is then balanced on the floor by their movable frames. It's designed for factory workers who must stand for extended periods of time in work and occasionally bend into unusual positions to build a product. Spatial management is a critical aspect in every industry. By optimizing the utilization of an Assistive Exoskeleton, superfluous chairs and resting areas can be avoided.
Evaluating Perceived Safety and Comfort in Urban Civic Spaces
Authors: Kawshalya L. W. G. , Weerasinghe U. G. D. , Chandrasekara D. P.
Published: October 2022

The urban public spaces play a vital role in the enhancement of quality of life of the urbanites. Recent studies explicitly demonstrate the fact that these limited spaces in the urban context directly impact on the physical, social, and psychological health of its users. But some of these spaces are often underused or neglected as a result of perceived danger and risk implicit by the arrangement of elements. This is common in many designed urban public spaces. This study focuses on three types of urban civic spaces as squares, plazas and forecourts which are vital on sustainable development of urban communities.Accordingly, this research intends to develop a framework to assess perceived safety and comfort in urban civic spaces. The process (literature) identified seven main attributes namely visual qualities, spatial configuration, pleasurability, inclusiveness, convenience, activities, and imageability. The 54 sub-attributes ascertained under the main attributes were scored through observations and direct user ratings. Expert weightages and significance scores obtained through the process finalizes an equation to calculate the final perceived safety and comfort levels of the urban civic spaces. Validation of this framework in the context of Sri Lanka depicted that Arcade Independence Square (Square) is more psychologically safer and comfortable for the users, followed by Echelon square (plaza)and Fort station forecourt (forecourt). The final scores produced by the developed framework reflects the current condition of the civic space elaborating the demands for improvements. The proper use of this framework will result in convivial, safer, comfortable, and user-friendly urban civic spaces.
Socio-Economic Impact Analysis of Hydropower Projects in Chamba District, Himachal Pradesh, India
Authors: Rattan Ram
Published: October 2022

In this paper, an attempt has been made to analyse the Socio-Economic Impacts of hydropower projects on inhabitants of Project Affected Zone in District Chamba of Himachal Pradesh. The study is based on primary data collected from six major hydropower projects of district Chamba (three NHPC and three private sector projects). A sample size of 250 respondents collected from affected families through convenience sampling. The indicators under consideration were the impact of hydropower projects on, a) local economy with seven variables, b) infrastructural development with its eight sub variables and c) impact on service sector with twelve variables. Data collected through questionnaire was analyzed by using descriptive statistics and Chi-square test. As per the findings it has been observed that hydropower projects helped to change the lifestyle of general public with positive impact on infrastructural development and have large impact on services sector of the area. It has developed the tourism industry in the area, establish market base and enhanced the market and infrastructural development.
The quality excellence framework: Driving effective quality management practices in infrastructure construction projects
Authors:   , Maveza Posani
Published: October 2022

This thesis investigated the levels of infrastructure construction project stakeholders’ involvement, their influence on quality outcomes, and how improved participation can enhance not only quality outcomes but overall project delivery success. Understanding the current engagement mechanisms and the innate challenges provided a basis for developing a framework, the Quality Excellence Framework (QEF), a framework that provides the foundation for successful quality outcomes, overall project success, continuous improvement and innovation.The research, conducted over three phases, comprised qualitative and quantitative analyses. The final phase, the Focus Group Discussion (FGD), was an endorsement of the QEF by a panel of industry experts.
Virtual Experiments to Teach Experimental Design: A Web-Based Tool for Biostatistics Students Bridging the Gap Between Data Collection and Statistical Analysis
Authors:   University of Auckland, Jones-Todd Charlotte , Renelle Amy ,   University of Auckland
Published: October 2022

Biostatistics students expect to graduate with the required tools and knowledge to collect and analyse their own data. Many go on to careers that require them to design their own lab- or field-based experiments. However, the examples introduced throughout their courses are textbook: data have already been collected appropriately, wrangled, and cleaned. Dealing with pre-provided, historic data does little to motivate student engagement with the underlying statistical concepts and fails to bridge the gap between statistical theory and application. Here, we discuss an application that provides students with the experience of designing an experiment and collecting their own unique dataset in a cost- and hassle-free way.