bluuebunny/crossref_metadata_2025 huggingface dataset:
PREDICTION OF LONG-TERM SENTINEL-1 INSAR TIME SERIES ANALYSIS
Authors: Abdikan S. , Coskun S. , Narin O. G. , Bayik C. , Calò F. , Pepe A. , Balik Sanli F.
Published: April 2023

Abstract. This paper presents an initial analysis of predicting time series derived from long-term interferometric Synthetic Aperture Radar (InSAR) data. Time series analysis provides insights into the temporal evolution, variation, and dynamic nature of events. In this study, we focus on the Istanbul region, which is the most populous city in Turkey and spans both Europe and Asia. While the area is prone to seismic risks caused by active tectonic faults, it is also susceptible to other risks due to various phenomena. Therefore, this study investigates landslides triggered by geological structure and human-induced activities, particularly in Tepekent, a landslide-prone area in the town of Buyukcekmece located on the European side. We utilized the StaMPS persistent scatterer InSAR (PSI) method to detect slow movements over time. A total of 157 archive Copernicus Sentinel-1 data, acquired over the region between June 2017 and August 2022, were processed, primarily observing human structures with a maximum displacement amount of approximately 1 cm/year. About 500 persistent scatterer points were identified in the region, and the time series was formed by taking the average of these points. The Long Short-Term Memory (LSTM) neural network method was used to estimate motion. We trained the model with data from the first three years of the time series and used the data from the remaining two years for estimation, while the accuracy analysis was performed with the 5-year time series data. The RMSE values for the training and test data were determined to be 0.725 mm/year and 0.656 mm/year, respectively. Additionally, we estimated the time series for the period from August 2022 to August 2024. The observation and prediction results could be beneficial in developing efficient mitigation risk actions and sustainable urban management strategies.
SELF-SUPERVISED LEARNING FOR CROP CLASSIFICATION USING PLANET FUSION
Authors: Senaras C. , Holden P. , Davis T. , Rana A. S. , Grady M. , Wania A. , de Jeu R.
Published: April 2023

Abstract. Benefiting from the high cadence and spatial resolution of the new generation of Earth observation satellites, remote sensing technology is allowing us to derive more valuable information for the agricultural sector. Crop classification is one of the fundamental information derivatives from Earth observation data researchers used for food security, crop monitoring, and economic assessment. The robustness of a crop classification model to variations in environmental and management conditions due to time and location is one of the crucial requirements. To achieve this, we developed a novel self-supervised method using the advantage of unlabeled samples and transformer architectures. We used six different areas in Germany and four years to evaluate the robustness of the model. Our experiments showed that self-supervised deep learning methods could provide a significant advantage in handling these variations. In some cases, we observed around 30 percentage points improvements in F1-score performance compared to a Random Forest based model.
EVALUATING THE POTENTIAL OF 8 BAND PLANETSCOPE DATASET FOR CROP CLASSIFICATION USING RANDOM FOREST AND GRADIENT TREE BOOSTING BY GOOGLE EARTH ENGINE
Authors: Sharma V. , Ghosh S. K.
Published: April 2023

Abstract. One of the challenging task in agriculture is mapping of crops using satellite images as spectral properties of the crops looks similar to each other, and there are many complexities which are there in the field such as small land holdings, heterogeneous and often distinct field patterns. In past, mapping with high resolution satellite images was not possible due to the non-availability of data and even they were costlier. However, with the free availability of PlanetScope dataset having 8 spectral bands, with daily revisit cycle and resolution of 3m, it is now possible to carry out mapping and monitoring of agriculture crops. The objective of the study is to classify major crops of rabi (December-April) season using single date PlanetScope imagery in the Haridwar district, Uttarakhand, India. Classification of crops has been carried out using an ensemble based machine learning algorithms within Google earth engine. Off late, Google Earth Engine (GEE), a cloud based platform has attracted the attention of remote sensing analyst since it expediates the classification yielding good results of high quality. In this study, Random Forest (RF) and Gradient Tree Boosting algorithm (GTB) have been used after performing hyper-parameter tuning and results shows that overall accuracy obtained by RF and GTB are 88% and 86.5% respectively. According to the results, both classifier performed well but RF achieved 1.5% high accuracy over GTB. Analysis of the results show that highest accuracy was attained by agriculture class (wheat) while other crops class exhibited lower accuracy. In this study, RF was found to be more competent as compared to GTB in classifying the crops and PlanetScope 8 band dataset has also proved its potential in classifying crops in heterogeneous fields.
IRRIGATED AGRICULTURE MAPPING IN A SEMI-ARID REGION IN BRAZIL BASED ON THE USE OF SENTINEL-2 DATA AND RANDOM FOREST ALGORITHM
Authors: Bendini H. N. , Fonseca L. M. G. , Bertolini C. A. , Mariano R. F. , Fernandes Filho A. S. , Fontenelle T. H. , Ferreira D. A. C.
Published: April 2023

Abstract. Irrigation is important for agricultural production and is often decisive for this, especially in arid and semi-arid areas, where precipitation is insufficient. In Brazil, irrigated agriculture is responsible for 46% of withdrawals from water bodies and 67% of the consumption of the total volume of water collected, representing the highest consumptive use in the country. Remote sensing technologies have great potential for developing methods for monitoring irrigated areas. However, mapping irrigated areas is still a challenge, due to the complexity and diversity of irrigation methods and crops, especially in a country with continental dimensions like Brazil. Remote sensing techniques for mapping irrigated areas in Brazil have been applied mainly in areas with center pivot irrigation in the Cerrado, and with paddy rice in the south of Brazil. But few or no applications, involving mapping of crops irrigated by other irrigation methods, mainly in the semi-arid, have been carried out. The objective of this work was to investigate a method for classifying irrigated agriculture in a semiarid region of Brazil, based on the use of Sentinel 2 imagery and random forest algorithm. We proposed a novel and robust methodology showing with preliminary results that it's possible to identify irrigated agriculture in this region with a class-f1-score of 74% for complementary irrigation and 95% for center-pivots.
REMOTE SENSING FOR FLOOD INUNDATION MAPPING USING VARIOUS PROCESSING METHODS WITH SENTINEL-1 AND SENTINEL-2
Authors: Stoyanova E.
Published: April 2023

Abstract. The following paper discusses different remote sensing methodologies for flood mapping. The chosen study area is nearby Karlovo, Bulgaria where torrential rains in August and September 2022 caused devastating damages in the area. The location is still under critical status and damages are not completely evaluated, yet.The aim of this study is to investigate how open satellite data can be applied in the mapping the results from the floods. The research team worked with radar and optical data from Sentinel-1 and Sentinel-2. Different technological approaches were applied to classify the land cover changes. Given the fact that the flood mass consisted mainly of mud an innovative approach was considered in order for the damages area to be computed.Climate change predictions and deforestation suggest increasingly frequent floods in the future. For these reasons, rapid and timely flood mapping under specific conditions is very important in flood modelling, hazard and risk analysis. In order to investigate the flooded area in the region of the selected study area, different post-processing methods were used. The research team focused on using satellite imagery from both Sentinel-1 and Sentinel-2. Various spectral indices were computed as well as unsupervised and supervised classifications were applied. The results of the study were presented in the form of statistical analyses and comparison between the computational methods.
DROUGHT MONITORING FROM 2001–2019 IN NORTHEAST THAILAND USING MODIS NDVI IMAGE TIME SERIES AND Savitzky-Golay APPROACH
Authors: Suwanlee S. R. , Homtong N. , Som-ard J.
Published: April 2023

Abstract. Drought directly threatens food security and livelihoods, thereby increasing socioeconomic risks and remains a challenge for natural resource management, particularly in frequently affected regions. Earth observation (EO) satellites provide extensive spectral and temporal data for long-term drought monitoring. This study monitored droughts in Northeast Thailand from 2001 to 2019 using the MODIS normalised difference vegetation index (NDVI) image time series. The Savitzky-Golay (S-G) method was used to remove noise and fill gaps in the image datasets. Optimal indicators as the vegetation condition index (VCI) and the standard vegetation index (SVI) were used to monitor drought distribution patterns over the previous 19 years. S-G filtering effectively reduced the impact of undetected clouds and water vapour, while VCI had the highest accuracy coefficient of determination (R2) for rainfall data at 0.85. Long-term droughts occurred frequently in 2005, 2004, 2007, and 2001 with the northern and central regions most severely affected. Severe drought primarily impacted agricultural land, forest and miscellaneous areas. Inter-annual drought variability for one and three time steps was clearly demonstrated in May and April to June from 2001 to 2019. Overall, the VCI provided a high level of satisfaction for drought monitoring in this region and clearly displayed the spatial distribution of long-term drought regions. Our findings provide a valuable resource for drought mitigation planning and warning systems.
MACHINE LEARNING BASED BIAS CORRECTION FOR MODIS AEROSOL OPTICAL DEPTH IN BEIJING
Authors: Wang M. , Fan M. , Wang Z. , Chen L. , Bai L. , Chen Y. , Wang M.
Published: April 2023

Abstract. Aerosol refers to suspensions of small solid and liquid particles in the atmosphere. Although the content of aerosol in the atmosphere is small, it plays a crucial role in atmospheric and the climatic processes, making it essential to monitor. In areas with poor aerosol characteristics, satellite-based aerosol optical depth (AOD) values often differ from ground-based AOD values measured by instruments like AERONET. The use of 3km DT, 10km DT and 10km DTB algorithms in Beijing area has led to significant overestimation of AOD values, highlighting the need for improvement. This paper proposes the use of machine learning techniques, specifically support vector regression (SVR) and artificial neural network (ANN), to correct the deviation of AOD data. Our approach leverages ground-based monitoring data, meteorological reanalysis data and satellite products to train the models. Our results show that the ANN model outperforms the SVR model achieving R2, RMSE and Slope values of 0.88, 0.12 and 0.97, respectively, when applied to nearly two decades of data from 2001 to 2019. This study significantly improves the accuracy of MODIS AOD values, reducing overestimation and bringing them closer to ground-based AOD values measured by AERONET. Our findings have important applications in climate research and environmental monitoring.
LARGE VECTOR SPATIAL DATA STORAGE AND QUERY PROCESSING USING CLICKHOUSE
Authors: Chen S. , Wang Z. , Bai L. , Liu K. , Gao J. , Zhao M. , Mulvenna M. D.
Published: April 2023

Abstract. The exponential growth of geospatial data resulting from the development of earth observation technology has created significant challenges for traditional relational databases. While NoSQL databases based on distributed file systems can handle massive data storage, they often struggle to cope with real-time query. Column-storage databases, on other hand, are highly effective at both storage and query processing for large-scale datasets. In this paper, we propose a spatial version of ClickHouse that leverages R-Tree indexing to enable efficient storage and real-time analysis of massive remote sensing data. ClickHouse is a column-oriented, open-source database management system designed for handling large-scale datasets. By integrating R-Tree indexing, we have created a highly efficient system for storing and querying geospatial data. To evaluate the performance of our system, we compare it with HBase, a popular distributed, NoSQL database system. Our experimental results show that ClickHouse outperforms HBase in handling spatial data queries, with a response time approximately three times faster than HBase. We attribute this performance gain to the highly efficient R-Tree indexing used in ClickHouse, which allows for fast spatial data query.
INSAR-BASED INVESTIGATION OF SURFACE DISPLACEMENT OVER THE AREA OF THE COLLAPSED BUILDINGS IN ISTANBUL
Authors: Demir N. , Yazgan U.
Published: April 2023

Abstract. In this research, we investigate the surface displacements in the regions where the buildings collapsed. Istanbul has a surface that is active for earthquakes. As the construction regulations have been changed after the year 2000, it is expected that the buildings built after this year, are much safer due to the strict retime series. But the majority of the buildings are at high risk since they are constructed before the year 2000. Therefore suddenly collapsing buildings are an often case in Istanbul, and we have investigated six buildings that collapsed during the six-year time. The used data are Sentinel 1 Radar images. The methodology is SBAS provided by the COMET-LiCS portal. The study area is Istanbul-Türkiye. six buildings are selected for the investigation. The velocity of the displacements and the time series of the whole displacements on the building locations have been plotted. The neighbouring areas of the collapsed buildings are also investigated and analysed if there are any surface displacement changes between them.
Kinematic and dynamic characteristics' analysis of a scissor multi-rod ring deployable mechanism
Authors: Han Bo , Yao Yuxian , Zhou Yuanzhi , Xu Yundou , Yao Jiantao , Zhao Yongsheng
Published: April 2023

Abstract. In this paper, the authors developed a double-layer ring truss deployable antenna mechanism (RTDAM) based on a scissor unit, which can be used as the deployment and support mechanism in large-aperture satellite antenna. Firstly, three configuration state diagrams of the scissor multi-rod RTDAM were displayed: folded, half-deployed, and deployed. The mechanism was decomposed into a closed-ring deployable mechanism unit and several non-closed-ring deployable mechanism units. The screw constraint topological diagram of the closed-ring deployable mechanism unit was drawn, and the number of degrees of freedom (DOFs) was calculated via the screw theory method. Then, the expressions for screw velocity and screw acceleration of each component in the resultant mechanism were analyzed, calculated, and solved. The screw velocity and screw acceleration of each component were obtained, and the six-dimensional velocity and acceleration of each component were obtained through screw conversion and recursion. Finally, using the Newton–Euler equation and virtual work principle, the dynamic equation of the RTDAM with an integral scissor multi-rod ring truss mechanism was established, and the theoretical analysis was validated through numerical calculation and simulation results. The RTDAM of the scissor multi-rod ring truss proposed in this paper has a single DOF and can be well applied to the large-aperture satellite antenna.
Impact of the sampling procedure on the specific surface area of snow measurements with the IceCube
Authors: Martin Julia , Schneebeli Martin
Published: April 2023

Abstract. The specific surface area (SSA) of snow can be directly measured by X-ray computed tomography or indirectly measured using the reflectance of near-infrared light. The IceCube (IC) is a well-established spectroscopic instrument that uses a near-infrared wavelength of 1310 nm. We compared the SSA of six snow types measured with both instruments. We measured significantly higher values with the IC, with a relative percentage difference of between 20 % and 52 % for snow types with an SSA between 5 and 25 m2 kg−1. We found no significant difference for snow with an SSA between 30 and 80 m2 kg−1. The difference is statistically significant between snow types but not uniquely related to the SSA. We suspected that particles artificially created during the sample preparation were the source of the difference. We sampled, measured and counted these particles to conduct numerical simulations with the TwostreAm
Radiative TransfEr in Snow (TARTES) radiation transfer solver. The results support the hypothesis that these small, artificial particles can significantly increase the reflectivity at 1310 nm and, therefore, lead to an overestimation of the SSA.
Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018
Authors: Kouki Kerttu , Luojus Kari , Riihelä Aku
Published: April 2023

Abstract. Seasonal snow cover of the Northern Hemisphere (NH) greatly influences surface energy balance, hydrological cycle, and many human activities, such as tourism and agriculture. Monitoring snow cover at continental scale is only possible from satellites or using reanalysis data. The aim of this study is to analyze timeseries of surface albedo, snow water equivalent (SWE), and snow cover extent (SCE) in spring in ERA5 and ERA5-Land reanalysis data and to compare the timeseries with several satellite-based datasets. As satellite data for the SWE intercomparison, we use bias-corrected SnowCCI v1 data for non-mountainous regions and the mean of Brown, MERRA-2 and Crocus v7 datasets for the mountainous regions. For surface albedo, we use the black-sky albedo datasets CLARA-A2 SAL, based on AVHRR data, and MCD43D51 based on MODIS data. Additionally, we use Rutgers and JAXA JASMES SCE products. Our study covers land areas north of 40° N and the period between 1982 and 2018 (spring season from March to May). The analysis shows that both ERA5 and ERA5-Land overestimate SWE. ERA5-Land shows larger overestimation, which is mostly due to very high SWE values over mountainous regions. The analysis revealed a discontinuity in ERA5 around year 2004, since adding IMS (Interactive Multisensor Snow and Ice Mapping System) from year 2004 onwards considerably improves SWE estimates but makes the trends less reliable. The negative NH SWE trends in ERA5 range from −249 Gt decade−1 to −236 Gt decade−1 in spring, which is two to three times larger than the trends detected by the other datasets (ranging from −124 Gt decade−1 to −77 Gt decade−1). Albedo estimates are more consistent between the datasets with a slight overestimation in ERA5 and ERA5-Land. SCE is accurately described in ERA5-Land, whereas ERA5 shows notably larger SCE than the satellite-based datasets. The negative trends in albedo and SCE are strongest in May, when albedo trend varies from −0.011 decade−1 to −0.006 decade−1 depending on the dataset. The negative SCE trend detected by ERA5 in May (−1.22 million km2 decade−1) is about twice as large as the trends detected by other datasets (ranging from 0.66 million km2 decade−1 to −0.50 million km2 decade−1). The analysis also shows that there is a large spatial variability in the trends, which is consistent with other studies.
Early innovations in maritime telemedical services: the KDKF Radio Medico Station
Authors: Thayer Johnathan , Dreisbach-Williams Stefan
Published: April 2023

“MAN PUT HIS TONGUE AGAINST REFRIGERATOR PIPE AND GOT IT FROZEN; HAVE THAWED IT OUT AND IT IS NOW BLISTERED AND SWOLLEN BUT NOT PAINFUL. ARRIVING HONOLULU FRIDAY; HOW CAN I HELP HIM MEANWHILE?” Thus read a message relayed via radiogram across the ocean to the physician stationed at the Seamen’s Church Institute’s (SCI) KDKF radio station, established by the Institute in 1920 on top of its thirteen-story seafarer services center at the southern tip of Manhattan. Though radio was in its infancy, radio telegraphy had already proven its revolutionary power, featuring prominently in far more serious maritime emergencies such as the sinking of Titanic. SCI’s KDKF radio station aimed to address a less dramatic but no less important problem in blue water navigation: access to medical care.
History of medicine in medical education: new Italian pathways
Authors: Iorio Silvia , Gazzaniga Valentina , Lippi Donatella
Published: April 2023

Objective: There is little doubt that there are currently obstacles in measuring the impact of the history of medicine within medical training. Consequently, there is a clear need to support a vision that can historicize Euro-Western medicine, leading to a greater understanding of how the medical world is a distinct form of reality for those who are about to immerse themselves in the study of medicine.
Methods: History teaches that changes in medicine are due to the processes inherent to the interaction among individuals, institutions, and society rather than individual facts or individual authors.
Results: Therefore, we cannot ignore the fact that the expertise and know-how developed during medical training are the final product of relationships and memories that have a historical life that is based social, economic, and political aspects.
Conclusion: Moreover, these relationships and memories have undergone dynamic processes of selection and attribution of meaning, as well as individual and collective sharing, which have also been confronted with archetypes that are still able to influence clinical approaches and medical therapy today.
Thank you to the Journal of the Medical Library Association reviewers in 2021 and 2022
Authors: Boruff Jill T. , Kraft Michelle
Published: April 2023

We sincerely thank the 214 peer reviewers in 2021 and the 171 peer reviewers in 2022 who helped evaluate and improve the quality of work published in the Journal of the Medical Library Association (JMLA).
A method for observing designed experiences using trace ethnography
Authors:   , Evans Richard
Published: April 2023

This thesis explored ways of observing designed experiences using digital traces derived from Wi-Fi data. It developed new knowledge about processes and methods for analysing designed experiences and ways of representing human digital traces (HDTs) in visual forms so that they can be understood and used by designers. The research outcomes were an HDT observational framework and an innovative high fidelity visualisation prototype capable of 360-degree immersive observations that harness building information model (BIM) technologies. These outcomes will lead to improvements in the way customer and employee experiences are designed by making visible previously invisible patterns of human digital activity.
Functional evaluation of new breast cancer risk-associated long noncoding RNAS
Authors:   , Wang Lu
Published: April 2023

In this thesis, we performed the first ever CRISPR-Cas13d screen to identify genetically linked long-non-coding RNAs (lncRNA) involved in breast cancer development. We identified a 6.7 kb novel lncRNA, called K-LNC, transcribed from the 18q11 breast cancer risk region. Overexpression of K-LNC selectively induced apoptosis in breast cancer cells, but not in normal breast cells. We expect that modulation of K-LNC expression or function may provide a new therapeutic strategy for breast cancer.
Ethical consumption in a fast fashion world
Authors:   , Stringer Tara
Published: April 2023

This study explores ethical consumerism, how, in a fast-fashion world, ethical consumption influences purchase behaviour. Considered one of the largest disrupters to the retail industry, fast fashion has revolutionised the fashion world. The introduction of fast-fashion retailers including Zara, H&M and Shein has changed production and consumption habits, encouraging rapid turnover of clothing items and trends. While the contemporary fashion business model is extremely successful, it has been criticised for its embrace of obsolescence, unsustainable business practices and encouraging excessive consumption. This thesis applied a mixed methods approach to investigate consumer perceptions of ethical issues within the fashion industry.
Inhaled ciprofloxacin-loaded poly(2-ethyl-2-oxazoline) nanoparticle dry powder inhaler formulation for the management of lower respiratory tract infections
Authors:   , Sabuj Mohammad Zaidur Rahman
Published: April 2023

This project developed inhaled antibiotic-loaded polymer nanoparticulate dry powder inhaler (DPI) formulation for managing lower respiratory tract infections (LRTIs). It investigated the applicability of the formulated nanoparticles (NPs) for lung delivery to treat LRTIs. The thesis revealed that the developed DPI formulation could control respiratory pathogens at a very low dose of antibiotics and be safe for lung delivery.
Reactive mine optimisation with grade engineering
Authors:   , Dendle Nicholas
Published: April 2023

This project investigated mathematical optimisation methods to improve open-pit mine management, on a minute-to-minute scale. High-performance computer simulations were designed to represent complex mine site processes, and understand how changes in mining practices and truck movements could enhance efficiency. By incorporating the effect of dispatching strategies and random factors like breakdowns and small variations in mined rock, improved processes were developed to adapt to changing mine conditions in near real-time. Through combining diverse mathematical optimisation and machine learning techniques, improved ways to handle complex real-world problems were identified, with important implications for future large-scale, complex decision-making in mining.
Nationhood and the (De)Construction of Mythical England in Ben Wheatley’s Kill List
Authors: Ortega Martin Diana
Published: April 2023

Arthurian mythology has often been employed to articulate notions of nationhood, identity, and nationalism. In the recent wave of nationalist nostalgia, myths, such as Arthur’s, have been put forth as core narratives to return to, articulating the longing for a primitivist, pastoral, pre-modern England. The post-Brexit landscape has seen a rise of neo-imperialism, more obvious in so-called ‘global Britain’ / ‘Renaissance England’, overlooking how Britain and its polarisation seem to be closer in spirit now to the Civil War than to the times of hegemonic splendour. This article analyses how Wheatley’s 2011 Kill List reappropriates Arthurian mythology by subverting its usual purpose of reaffirming a hegemonic sense of nationhood. The analysis uses three main methods: defining myth in contemporary England and its cultural products, establishing a correlation between Folk Horror and the Arthurian legend, and studying Arthurian myths and motifs present in the film and their significance. It ultimately concludes that the Arthurian myth is used to question the blinding embrace of national mythology and the darker face of England’s nationhood.
An Investigation of the Correlation of Scanning Information Skills in Text with Impulsive and Reflective Learning Styles of Pakistani Engineering Students
Authors: Shafqat Asmara , Abbasi Muhammad Hassan , Khalid Hamna , Akhtar Huma
Published: April 2023

Teachers’ instruction receives immense impact from multiple factors and among them awareness of learning styles’ preferences is significant. Shea (1983) found a strong relationship between styles of learning and reading comprehension. This study attempted to explore correlation between reflective and impulsive styles of learning and scanning information in text scores. 382 undergraduates engineering students (male and female) were selected from a Public sector Engineering University. Andrew D. Cohen, Rebecca L. Oxford, and Julie C. Chi’s (2001) questionnaire was used to explore the patterns of learning styles along with its relevance with the role of gender. A reading test was also conducted along with the questionnaire based on scanning skills. Pearson product-moment correlation test was applied to ascertain the correlation between the variables. The findings will be useful for teachers to determine preferences of learning style of students which will impact educational policies and techniques in general.
material full of promises: Hg1-xCdXTe - mercury cadmium telluride
Authors: Băjenescu Titu-Marius
Published: April 2023

In recent decades’ doctors and scientists have intensively researched the effect of infrared applications. The rays of infrared devices penetrate the body to a depth of about 5 cm and provide a pleasant warmth, stimulating blood circulation and reducing joint pain. Long-wave infrared light exerts a beneficial effect on nerve cells. These nerve cells are responsible for transmitting the sensation of pain to the brain. Infrared light treatment increases the release of endogenous analgesic substances from the brain and adrenal glands, such as enkephalins and endorphins. The infrared range of the electromagnetic spectrum extends from about 0.75 μm to 1000 μm. The article presents a review of HgCdTe infrared detectors, which have been intensively developed in the last forty years since the first synthesis of this compound semiconductor in 1958.
new concept regarding the selection of sewerage systems and natural treatment of municipal wastewaters
Authors: Covaliov Victor , Ungureanu Dumitru , Duca Gheorghe , Covaliova Olga , Romanciuc Lidia
Published: April 2023

The article contains a review of methods and procedures of the municipal wastewater treatment, with the discussion of their specifics. A new concept is proposed related to the selection of municipal sewerage and wastewater treatment systems, considering the local/decentralized, semicentralized or centralized systems, especially those suitable to rural and suburban localities, in dependence on the advantages and disadvantages of these systems and local specifics. The concept of phytofilters is proposed for the biological treatment of wastewater in small towns. This technology is simple, inexpensive and requires relatively little maintenance. Biological ponds in the Republic of Moldova have proven to be very suitable for advanced wastewater treatment, being a cheap and natural purification system with a good potential for implementation. When choosing a sewer system, priority must be given to its functionality and practical considerations.
El manejo de las emociones, habilidad estratégica en el liderazgo disruptivo
Authors: Verdugo Tapia María Leticia , Rossetti López Sergio Ramón , Rojas Rodríguez Isaac Shamir
Published: April 2023

Este trabajo aborda las emociones propias y de los demás, por parte de líderes empresariales de la ciudad de Hermosillo, Sonora. El objetivo es conocer el nivel de desarrollo de estas habilidades, considerando la relevancia de las mismas en la práctica de un liderazgo, caracterizado por una empatía estelar entre líder y seguidores, que facilite la implementación de estrategias de innovación en estos tiempos de COVID-19, basados en dos hipótesis H1. Los líderes tienen un nivel más elevado de la percepción y comprensión de sus emociones, que de la percepción y comprensión de las emociones de otros. H2. Los líderes tienen un nivel más elevado de autorregulación de sus emociones, que de la regulación de las emociones de otros. Se utilizó como instrumento de evaluación la Escala de Inteligencia Emocional Rotterdam que mide la Inteligencia Emocional centrada en uno mismo y en los demás. Los resultados obtenidos avalan las hipótesis planteadas de un mayor nivel de conocimiento y autorregulación propios, que los de los demás. Con estos resultados, se presenta como conclusión que existe una necesidad de desarrollo de las habilidades primarias de la Inteligencia Emocional, tendientes a lograr un liderazgo disruptivo.
Responsabilidad social corporativa, origen y relevancia
Authors: Encinas Palafox Wendy Carolina , Velarde Mendívil Alma Teresita Del Niño De Jesús , Pacheco Navarro Ana Cristina
Published: April 2023

El progreso económico y social trajo consigo importantes consecuencias derivadas de acciones irresponsables en el uso y consumo de los recursos del planeta, lo cual compromete el futuro de las próximas generaciones. En este contexto, el sector empresarial en su preocupación por contrarrestar los daños implementó acciones socialmente responsables que a su vez resultan rentables para la compañía, denominándose a esto Responsabilidad Social Corporativa. Por su parte, crece el interés de los consumidores por estas prácticas y comienzan a involucrarse a través de un consumo más consciente. El propósito del artículo es mostrar una revisión de literatura sobre la evolución de la Responsabilidad Social Corporativa, su relación con el marketing y su relevancia en el entorno actual. Para alcanzar el objetivo se aplicó una metodología de exploración de artículos en revistas de impacto que abordaran temas del origen del concepto, evolución  y sus implicaciones con las empresas y la sociedad. Se observa que existen numerosos estudios a lo largo de la historia que han llevado a consolidar el término de Responsabilidad Social Corporativa, sin embargo, aunque las empresas actualmente reconocen el concepto, aún les falta implementación en sus estrategias de negocios y marketing.
Manejo de quiste odontogénico glandular con rehabilitación implantológica guiada. Reporte de un caso
Authors: Felices Kevin Cristofer , Astigueta José Mariano , Attaguile Alberto Hugo , Benítez Javier Alejandro , Giannunzio Graciela Ana
Published: April 2023

Objetivo: Describir el manejo de un caso de quiste odontogénico glandular, con tratamiento conservador, terapias adyuvantes y rehabilitación implantoasistida a los 7 años de seguimiento.

Caso clínico: Se presenta un caso clínico de un paciente masculino con una lesión mandibular con diagnóstico de quiste odontogénico glandular. El tratamiento que se realizó fue una enucleación con tratamiento de superficie con solución de Carnoy y ostectomía periférica. Se realizó seguimiento clínico y radiográfico durante 7 años verificando ausencia de recidiva, momento en cual se realizó mediante planificación virtual la colocación de implantes con guías quirúrgicas de precisión para rehabilitación implanto asistida.

Palabras claves: CBCT, cirugía bucal, implantes dentales, quiste odontogénico.
Mother-Daughter Inhibitions in the Lives of a British Prostitute and a Cambridge Graduate
Authors: Dr. Md. Afrozuddin  , Dr. VLI. Isaac
Published: April 2023

George Bernard Shaw’s main purpose in writing Mrs. Warren’s Profession is to discuss another problem play “the problem of sexual prostitution and its economic roots.”  His aim is to awaken the dormant conscience of the people by driving home to them the dreadful truth that it is not the woman but the society at large which is accountable for the social evil of prostitution. He makes this clear in his Preface to Mrs. Warren’s Profession. Shaw says, “Prostitution is caused, not by female depravity and male licentiousness, but simply by underpaying, undervaluing and over working women so shamefully that the poorest of them are forced to resort to prostitution to keep body and soul together.” The inefficacious and effeminate culture that grapples the society with infidelity sustains the growth of prostitutes in the world and grim with every sprite and draught of male dominance that prevails. Society at large mocks the gullible that adroitly breaches the lacuna of sanctity leading to prostitution.
Assessing the Usage Anesthesia in the Surgical Treatment of Diabetic Macular Edema
Authors: Reddy Akshay Jakkidi , Dang Allen , Yee Sarah , S. Ghauri Muhammad , Seo Yui , Nawathey Neel , Bachir Alex , Brahmbhatt Telak , Patel Rakesh
Published: April 2023

Diabetes-related macular edema is a fast-spreading condition that has damaged the lives of countless people throughout the globe. The current incorporation of subthreshold micropulse laser has indicated the precedence of laser therapy in the treatment of diabetic macular edema; nonetheless, vitreoretinal surgery in conjunction with anesthetics correlates with early mitigation of damage to the fovea. Surgery is a delicate procedure that necessitates careful consideration of the types and locations of anesthetics used. Depending on the individual being treated, various drugs and methods may be necessary. For example, some individuals may be allergic to conventional anesthetics, resulting in more severe consequences. In the surgical treatment of diabetic macular edema, the topical anesthetic was utilized more frequently than subconjunctival anesthesia, according to the review’s statistical analysis. The examined literature indicated that topical lidocaine was the most employed anesthetic for vitreoretinal surgery; however, alternatives to lidocaine exist, and their effects should be investigated. Consequently, we would want to highlight the impacts of each of the several surgical medications and anesthetics used to treat diabetic macular edema.
Mapeamento em rede das escolas de dança e grupos de dança em Pernambuco
Authors: Gehres Adriana , Silva Ana Carolina , Silva Anne Karoline R. Pessoa da , Brasileiro Lívia Tenório , Olivan Leandro , Campelo Raphaela B. França
Published: April 2023

O levantamento e a organização de dados sobre a cultura, no Brasil, tornou-se um imperativo diante das políticas públicas para a formação do Sistema Nacional de Cultura, desenvolvido e instalado nos primeiros anos do século XXI (Matos & Nussbaumer, 2016). Considerando as relações que se estabelecem nas sociedades contemporâneas, compreendidas como sociedades em rede (Enne, 2004), este estudo teve como objetivo descrever as estruturas das redes que se configuraram nos processos de formação e de atuação nas danças em escolas/academias de dança e grupos, companhias, coletivos e artistas independentes das danças, em duas mesorregiões do estado de Pernambuco, a saber: Zona da Mata, a mais próxima da capital do Estado e São Francisco, a mais afastada da capital do Estado. Para tal, foi realizado uma pesquisa de levantamento de dados em cinco municípios do Estado de Pernambuco, totalizando 85 sujeitos, através de uma entrevista estruturada com perguntas abertas sobre os processos de formação e a atuação profissional em dança, nas escolas/academias de dança e nos grupos, companhias, coletivos e artistas independentes da dança, com vistas a elaboração de redes. A análise qualitativa visual das redes apontou que as redes de formação e atuação em dança na Zona da Mata se caracterizavam como redes hierárquicas e as redes de formação e atuação em dança no São Francisco se apresentaram como redes sem escala em algumas partes da rede social total, diferentemente dos estudos sobre as demais regiões do Estado (Gehres et al., 2021).
Da criação à formação
Authors: Xavier Madalena
Published: April 2023

Os processos de criação que conduzem à construção da obra coreográfica e à possibilidade de se estabelecer um diálogo com modelos de ensino-aprendizagem da composição coreográfica, norteiam a reflexão proposta neste artigo. A época atual, como definida por Louppe (2012), compreende um conjunto de valores como a individualização e a produção, que exprimem a identidade de um projeto insubstituível e que promovem a redefinição e o reposicionamento do corpo e do gesto. O corpo e o movimento assumem múltiplas configurações e uma centralidade reveladora de premissas de exploração e experimentação que se formulam a partir de valores idiossincráticos cuja consideração se torna premente. A reconfiguração dos elementos constitutivos da dança, a redefinição do lugar do coreógrafo e do bailarino/intérprete contemporâneo, as noções de corpo e as premissas de construção de uma linguagem estão, no contexto das práticas coreográficas atuais, ancorados em princípios de abertura e singularidade. Refletindo sobre os processos de ensino-aprendizagem da composição coreográfica encontra-se, igualmente, a necessidade de pensar modelos dinâmicos e que se baseiam em princípios de descoberta. Lavender e Sullivan (2008), por exemplo, através dos Transformative Systems propõem um conjunto de proposições que sistematizam uma prática pedagógica onde se potencia e promove o diálogo com o discurso de coreógrafos sobre os seus processos de criação. Da possibilidade em fazer dialogar os processos de criação coreográfica e os modelos de formação resultará neste artigo a apresentação do Atlas Criativo – criação coreográfica contemporânea, ferramenta pedagógica cuja operacionalização tem como objetivos o desenvolvimento do potencial criativo, a experimentação de diferentes possibilidades e procedimentos implícitos à criação coreográfica contemporânea e o desenvolvimento de capacidades reflexivas, através do registo sistematizado dos processos de criação.
足底筋膜炎症狀扁平足對多肢段足部運動學之影響
Authors: 陳宗榮 陳宗榮 , 蔡偉奇 蔡偉奇 , 王李中羿 王李中羿 , 徐瑞澤 徐瑞澤 , 林書豪 林書豪
Published: April 2023

目的：本研究目的為比較扁平足有足底筋膜炎症狀和無症狀在跑步動作之多肢段足部運動學之差異。方法：本研究以 10 名受試者為無症狀扁平足組 (年齡：21.2 ± 1.03歲、身高：170 ± 8.33公分、體重：70.21 ± 9.14公斤、足弓指數：.37 ± .02)。10 名受試者為足底筋膜炎症狀扁平足組 (年齡：25.7 ± 6.49歲、身高：166 ± 8.27公分、體重：69.65 ± 16.95公斤、足弓指數：.35 ± .02)。受試者以自選速度，跑步動作進行 3 次，動作過程以 8 台紅外線高速攝影機和 1 塊測力板同步收集多肢段足部運動學資料。結果：本研究發現有足底筋膜炎症狀扁平足會顯著減少觸地瞬間前足背曲角度 (p = .02)，且達到高效果量 (Effect size = 1.07)；其餘參數皆沒有達到顯著差異 (p > .05)。結論：本研究發現足底筋膜炎症狀扁平足會顯著減少觸地瞬間前足背曲角度，這個結果顯示扁平足罹患足底筋膜炎，其運動學特徵改變主要在前足的矢狀面動作。

 

Purpose: The purpose of this study was to determine the influence of flat feet with and without plantar fasciitis symptoms on multi-segment foot kinematics during running. Methods: Ten flat feet without plantar fasciitis symptoms (age: 21.2 ± 1.03 years, height: 170 ± 8.33 cm, weight: 70.21 ± 9.14 kg, arch index: .37 ± .02) and ten flat feet with plantar fasciitis symptoms (age: 25.7 ± 6.49 years, height: 166 ± 8.27 cm, weight: 69.65 ± 16.95 kg, arch index: .35 ± .02) participated in this study. The participant performed three running at a self-selected speed. Eight infrared high-speed cameras and one force platform were used to collect multi-foot segment kinematics. Results: The flat feet with plantar fasciitis symptoms demonstrated smaller fore-foot dorsiflexion angle at initial contact than flat feet without plantar fasciitis symptoms (p = .02; Effect size = 1.07). Other variables were not significant (p > .05). Conclusion: This study found decreased fore-foot dorsiflexion angle at initial contact in flat feet with plantar fasciitis symptoms suggesting that flat feet with plantar fasciitis symptoms mainly influenced fore-foot kinematics in sagittal plane.

 
優秀大專女子網球選手不同方向正拍擊球之運動學分析
Authors: 戴牧琳 戴牧琳 , Tai Mu-LIN 楊珺如 , 江勁政 江勁政 , Ching-Cheng Chiang 張凱隆 , Chang Kai-Lung 湯文慈
Published: April 2023

目的：探討優秀大專女子網球選手執行正拍直線球、對角球與閃正拍外角球之動作分期時間、軀幹旋轉特徵與擊球位置之動作技術差異。方法：以 9 名台灣大專甲組之女子網球選手為研究對象，透過 Motion 動作分析系統與十台紅外線高速攝影機 (取樣頻率為 200 Hz) 記錄網球正拍擊球執行直線球、對角球、閃正拍外角球之動作技術，以相依樣本單因子變異數分析進行統計分析。結果：在擊球動作期別上僅在加速期達顯著差異且對角球大於閃正拍球；軀幹與站姿軸的運動學參數中，除了肩軸沒有達顯著差異外，球拍長軸與底線夾角、髖軸、站姿軸設定皆達顯著差異；此外，擊球點與肩膀的前後距離以及髖部的前後、左右距離的相對位置皆達顯著差異。結論：當球員針對不同方向擊球時，球拍開始向前加速的加速期是影響方向的關鍵時期。在擊球瞬間肩部旋轉並不是影響擊球方向的主要因子，且選手在執行閃正拍外角擊球會採取較大幅度的軀幹旋轉策略進行調節。此外，擊球點與身體的相對位置關係，不論肩部或是髖部的前後距離是影響擊球方向的關鍵因素，在左右側的擊球點位置閃正拍相較於直線與對角球會更靠近軀幹。本研究結果希望讓教練與選手了解，在執行不同擊球方向或閃正拍外角球策略時，身體軀幹特徵之異同，且可以作為球員在比賽中預判對手擊球策略時的參考因素之一。

 

Purpose: This study identified and compared the kinematic difference of each phase, trunk, and stance when balls were hit cross-court, down-the-line, and inside-out forehand for the elite college female tennis players. Methods: Nine female tennis players from Taiwan college Division 1 players were recorded using a ten-cameras with motion analysis system (200 Hz). The techniques of hit down-the-line, cross-court, and inside-out forehand were recorded, and statistically analyzed by one-way ANOVA with repeated measured. Results: The only significant difference was found in the acceleration phase and the cross-court was larger than inside-out forehand. For the kinematic parameters, the angle of the long axis of the racket, hip alignment, stance alignment were statistically different. In addition, in the relative positions of the contact point, there was no significant difference in vertical height on shoulder and hip, and the shoulder was only significant in the hitting direction, but the hip was significantly different in the hitting direction and the side direction. Conclusion: In the situation of different directions, the acceleration phase when the racket starts to accelerate forward, is the key phase that affects the direction. At impact, shoulder alignment angle is not the main factor affecting the direction of the shot. The players will adopt more trunk rotation when performing inside-out forehand shots. In addition, the relative position of ball impact, the distance between the contact point with shoulder and hip on the front direction is the key factor. On the side direction, the inside-out forehand is closer to the trunk than the cross-court and down-the-line shots. This study provides coaches and players with strategies of different directions and inside-out forehand. The body characteristics can be a reference for players to predict the opponent’s strategy in the matches.

 
自由式游泳選手軀幹穩定能力之技術分析-高階選手個案研究
Authors: 林謙如 林謙如
Published: April 2023

目的：在競技游泳戰國時代，各游泳強國使用先進科學方法優化訓練。然而，在傳統訓練和缺乏科技環境以模擬真實條件下，導致國內選手對於技術的改善效果受到限制。為找出更精準的動作分析和監測方法，本研究目的是藉由角速度感測器監測游泳選手動作，以作為選手動作穩定性的技術改善。方法：本研究以台灣一位自由式奧運級選手為對象，採用慣性測量單元進行選手身上六個感測點的資料數據收集。在 50 公尺自由式的游泳中，選手動作透角速度感測器測量，獲得資訊並回饋給教練，分析後執行新的穩定性矯正訓練計畫。經過 12 週訓練，讓選手再回到測驗現場測驗，經數據比對前、後測驗的角速度差異以評估改善成效。結果：由角速度結果的判讀，可知選手的 X 軸與 Y 軸經過校正訓練後都較前測穩定，減少 X 軸旋轉的不對稱及 Y 軸的上下晃動 (Y 軸最大改善 60 %)。但是，感測器的結果也顯示，因為矯正訓練，導致 Z 軸發生代償現象，造成後測的左右晃動較前測大 (Z 軸增加 70 %)。結論：本研究顯示受試者脊椎的感測器，有助於分析選手於各三個方向軸線動作的細微變化，介入矯正訓練後，能改善受試者於游泳各階段動作的穩定性，同時感測器的輔助也發現代償的現象，將更有助於未來教練的訓練和調整方向。

 

Purpose: In competitive swimming, teams try their best to use advanced scientific methods to optimize training. However, traditional training lacks the technological environment to simulate the real conditions. Therefore, the improvement of the athletes’ swimming technique is limited. To find out a more accurate movement analysis and technical monitoring method, this study uses the angular velocity sensor to determine the different points of the athletes’ movements during swimming through the sensor device, to improve the stability of the athletes’ movements. Methods: This study took freestyle Olympians as the subjects. The inertial measurement unit was used to collect data on six detection points on the athletes’ bodies, and to analyze the processes of catching water, pushing water, moving arms in the air, and returning to the water. In the 50-meter freestyle swimming, the athletes’ movements were measured through the angular velocity sensor, and the data were collected and fed back to the coach to implement a new training plan. After 12 weeks of corrective training, the athlete returned to the test. The differences in angular velocity between the pre-test and the post-test were compared. Results: Our analysis indicates that, after corrective training, the athletes’ post-test X-axial and Y-axial data are more stable than those from the pre-test which reduces the asymmetry of the X-axis rotation and the up and down shaking of the Y-axis (improving Y-axis 60 %). However, the sensor data results also show that the Z-axial rotation is compensated due to the corrective training, causing the left and right shaking of the post-test to be larger than that of the pre-test (Z-axial 70 % worse). Conclusion: This method proves that the sensor can record information on the athletes’ movements, and then analyze the stability of the athletes’ movements in each stage of swimming. The results also show that the sensors attached to the athletes’ back were helpful to distinguish the subtle changes in the athletes’ movements in each of the three axes. These results could also be of great assistance for coaches to improve their athletes’ postures and future training direction.

 