bluuebunny/crossref_metadata_2025 huggingface dataset:
Realist Film Theory and Bicycle Thieves
Authors: Neroni Hilary
Published: April 2023

The Film Theory in Practice series fills a gaping hole in the world of film theory. By marrying the explanation of a film theory with the interpretation of a film, the volumes provide discrete examples of how film theory can serve as the basis for textual analysis. Realist Film Theory and Bicycle Thieves offers a concise introduction to realist film theory in jargon-free language and shows how this theory can be deployed to interpret Vittorio De Sica’s 1948 Italian neo realist masterpiece Bicycle Thieves.

Hilary Neroni explores the original realist film theorists from the 1940s: André Bazin, Siegfried Kracauer, and Cesare Zavattini, among others. But rather than seeing realist film theory as simply a theory of the past to be moved beyond, the book argues that the prevalence of realism in many different forms within practice and theory suggests the importance of updating this original realist film theory with an understanding of realism that would sustain its viability. Throughout the book, Neroni analyzes neorealist film movements—such as Italian Neorealism, Parallel Cinema of India, and the Iranian New Wave—that challenge mainstream realism with a more radical form that exposes the social order instead of hiding it. Her in-depth investigation of Bicycle Thieves provides a realist methodology that reveals the radicality of its combination of realist techniques, a melodramatic story, and humanist values.
Cross the Border
Authors: Kalmar Tomás Mario
Published: April 2023

Did Alfred know Latin well enough to translate it? Asser says yes. Malcolm
Godden now says no. This chapter begins with a close reading of how Asser
blends hagiography and chronology in his account of the day Alfred began
to translate at sight. It ends with a schematic analysis of how literacy
and bilingualism intersect. This helps us chart how Asser played what
de Lubac calls a ‘game of figures’ to create a typologie interne of Alfred’s adult biliteracy, in which what happened on St Martin’s Day 887, the day
Alfred’s biliteracy campaign was born, simultaneously fulfills what the
childhood fable of his contest for his mother’s book and the fable of his
pilgrimage to Rome jointly prefigured.
Micro-Fulfillment für E-Food braucht ausfallsichere Technologie
Authors: Winkler Max
Published: April 2023

Hochautomatisierte Micro-Fulfillment-Lösungen gelten als Königsweg, um E-Food profitabel zu machen. In der Realität allerdings gibt es Begrenzungen.
Developing a framework to promote the adoption of electric vehicles in South Africa
Authors:   , Mohubedu Simon Mabushi
Published: April 2023

Increasing greenhouse gas (GHG) emissions are considered as the major challenge for climate change, global warming and air quality in cities and South Africa has pledged a reduction of its GHG emissions to peak at 398 to 614 Mt CO2-eq for the period 2025 to 2030 as part of the Paris Agreement on climate change. The government has also noted that as a means to reduce GHG emissions, the domestic electric vehicle (EV) market needs to grow significantly as the road transport sector is responsible for over two-thirds of transport-related carbon dioxide emissions. While many developed nations globally are beginning to adopt EVs as a strategy to moderate GHG emissions, South Africa is falling short in this regard and still lacks a policy on the electrification of vehicles. A qualitative research design was used to investigate and identify factors that have potential to stimulate the adoption of EVs in South Africa. A conceptual framework of public policies for innovation diffusion was also used to provide structure to the study. Additionally, the conceptual framework was further expanded with a view to developing and proposing a framework to policymakers for the promotion of the adoption and uptake of EVs in South Africa. Some of the major findings from the study were that the high purchase price of EVs, the availability of charging infrastructure and the lack of customer education and awareness were the biggest impediments to the uptake of the domestic EV market. Inversely, these were equally the main factors that have potential to stimulate the uptake of the EV market in South Africa. Amongst the recommendations from the proposed framework were that policymakers should be cognisant of these and other demand-side barriers together with existing advantages such as the presence of a successful automotive policy framework in South Africa and should devise policies aimed at removing the barriers to the adoption of EVs in the local market. Furthermore, the proposed framework also highlights the significant role that government needs to play by being involved in driving the demand for EVs in South Africa through relevant interventions, notably, through the provision of policy incentives.
The future ozone trends in changing climate simulated with SOCOLv4
Authors: Karagodin-Doyennel Arseniy , Rozanov Eugene , Sukhodolov Timofei , Egorova Tatiana , Sedlacek Jan , Peter Thomas
Published: April 2023

Abstract. This study evaluates the future evolution of atmospheric ozone simulated with the Earth system model (ESM) SOCOLv4. Simulations have been performed based on two potential shared socioeconomic pathways (SSPs): the middle-of-the-road (SSP2-4.5) and fossil-fueled (SSP5-8.5) scenarios. The future changes in ozone, as well as in chemical drivers (NOx and CO) and temperature, were estimated between 2015 and 2099 and for several intermediate subperiods (i.e., 2015–2039, 2040–2069, and 2070–2099) via dynamic linear modeling. In both scenarios, the model projects a decline in tropospheric ozone in the future that starts in the 2030s in SSP2-4.5 and after the 2060s in SSP5-8.5 due to a decrease in concentrations of NOx and CO. The results also suggest a very likely ozone increase in the mesosphere and the upper and middle stratosphere, as well as in the lower stratosphere at high latitudes. Under SSP5-8.5, the ozone increase in the stratosphere is higher because of stronger cooling (>1 K per decade) induced by greenhouse gases (GHGs), which slows the catalytic ozone destruction cycles. In contrast, in the tropical lower stratosphere, ozone concentrations decrease in both experiments and increase over the middle and high latitudes of both hemispheres due to the speeding up of the Brewer–Dobson circulation, which is stronger in SSP5-8.5. No evidence was found of a decline in ozone levels in the lower stratosphere at mid-latitudes. In both future scenarios, the total column ozone is expected to be distinctly higher than present in middle to high latitudes and might be lower in the tropics, which causes a decrease in the mid-latitudes and an increase in the tropics in the surface level of ultraviolet radiation. The results of SOCOLv4 suggest that the stratospheric-ozone evolution throughout the 21st century is strongly governed not only by a decline in halogen concentration but also by future GHG forcing. In addition, the tropospheric-ozone column changes, which are mainly due to the changes in anthropogenic emissions of ozone precursors, also have a strong impact on the total column. Therefore, even though the anthropogenic halogen-loading problem has been brought under control to date, the sign of future ozone column changes, globally and regionally, is still unclear and largely depends on diverse future human activities. The results of this work are, thus, relevant for developing future strategies for socioeconomic pathways.
Stratospheric temperature measurements from nanosatellite stellar occultation observations of refractive bending
Authors: McGuffin Dana L. , Cameron-Smith Philip J. , Horsley Matthew A. , Bauman Brian J. , De Vries Wim , Healy Denis , Pertica Alex , Shaffer Chris , Simms Lance M.
Published: April 2023

Abstract. Stellar occultation observations from space can probe the stratosphere and mesosphere at a fine vertical scale around the globe. Unlike other measurement techniques like radiosondes and aircraft, stellar occultation has the potential to observe the atmosphere above 30 km, and unlike radio occultation, stellar occultation probes fine-scale phenomena with potential to observe atmospheric turbulence. We imaged the refractive bending angle of a star centroid for a series of occultations by the atmosphere. Atmospheric refractivity, density, and then temperature are retrieved from the bending observations with the Abel transformation and Edlén's law, the hydrostatic equation, and the ideal gas law. The retrieval technique is applied to data collected by two nanosatellites operated by Terran Orbital. Measurements were primarily taken by the GEOStare SV2 mission, with a dedicated imaging telescope, supplemented with images captured by spacecraft bus sensors, namely the star trackers on other Terran Orbital missions. The bending angle noise floor is 10 and
30 arcsec for the star tracker and GEOStare SV2 data, respectively. The most significant sources of uncertainty are due to centroiding errors due to the fairly low-resolution stellar images and telescope pointing knowledge derived from noisy satellite attitude sensors. The former mainly affects the star tracker data, while the latter limits the GEOStare SV2 accuracy, with both providing low vertical resolution. This translates to a temperature profile retrieval up to roughly 20 km for both star tracker and GEOStare SV2 datasets. In preparation of an upcoming 2023 mission designed to correct these deficiencies, SOHIP, we simulated bending angle measurements with varying magnitudes of error. The expected maximum altitude of retrieved temperature is 41 km on average for these simulated measurements with a noise floor of 0.39 arcsec. Our work highlights the capabilities of stellar occultation observations from nanosatellites for atmospheric sounding. Future work will investigate high-frequency observations of atmospheric gravity waves and turbulence, mitigating the major uncertainties observed in these datasets.
Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory
Authors: Massie Steven T. , Cronk Heather , Merrelli Aronne , Schmidt Sebastian , Mauceri Steffen
Published: April 2023

Abstract. Clouds impose radiance perturbations upon Orbiting Carbon Observatory (OCO-2)-measured spectra. The Spherical Harmonic Discrete Ordinate radiative transfer Method (SHDOM) code is applied in both idealized bar cloud and scene-specific calculations of 1D and 3D radiances in order to
understand 3D cloud effects for a wide range of gas vertical optical depths and solar- and sensor-viewing geometries for ocean and land scenes. SHDOM calculations for 36 scenes over the Amazon and the Pacific are co-analyzed with Moderate Resolution Imaging Spectroradiometer (MODIS) radiance-based cloud distance data and the OCO-2 Lite file rawXCO2 for both quality flag =0 (QF0; best quality) and quality flag =1 (QF1; poor quality) data. SHDOM calculations of the ocean and land scenes indicate that the 1D / 3D radiance intensity ratios and rawXCO2 decrease concurrently as the nearest-cloud distance decreases towards zero, especially for the ocean glint QF1 data, which provide the clearest evidence of 3D cloud effects in OCO-2 retrievals. Yearly analysis of OCO-2 O2 A-band continuum radiances indicate that 3D cloud-brightening events are predominant over cloud-shadowing events; therefore, 1D / 3D intensity ratios are predominantly less than unity. Bias corrected (bcXCO2) at cloud distances between 0 and 20 km are calculated for 20∘ latitude bands for 2015–2018. These zonal averages are used to calculate 3D-cloud-effect biases for bcXCO2 data (with a positive bias indicating that OCO-2 underestimates bcXCO2). Averages of 3D-cloud-effect biases, weighted by the number of Lite file data points in each of the nearest-cloud distance bins, in the Northern and Southern hemispheres, are 0.16 (1.31) and 0.26 (1.41) ppm (parts per million), respectively, over the ocean, and −0.13 (0.51) and −0.08 (0.47) ppm over land for QF0 (QF1) data.
A Highly Sensitive and Selective Laser-Based BTEX Sensor for Occupational and Environmental Monitoring
Authors: Mhanna Mhanna , Sy Mohamed , Arfaj Ayman , Llamas Jose , Farooq Aamir
Published: April 2023

Abstract. A mid-infrared laser-based sensor is designed and demonstrated for trace detection of benzene, toluene, ethylbenzene, and xylene isomers at ambient conditions. The sensor is based on a distributed feedback inter-band cascade laser emitting near 3.29 μm and an off-axis cavity-enhanced absorption spectroscopy configuration with an optical gain of ~2800. Wavelength tuning and a deep neural networks (DNN) model were employed to enable simultaneous and selective BTEX measurements. The sensor performance was demonstrated by measuring BTEX mole fractions in various mixtures. At an integration time of 10 seconds, minimum detection limits of 11.4, 9.7, 9.1, 10, 15.6, and 12.9 ppb were achieved for benzene, toluene, ethylbenzene, m-xylene, o-xylene, and p-xylene, respectively. The sensor can be used to detect tiny BTEX leaks in petrochemical facilities and to monitor air quality in residential and industrial areas for workplace pollution.
Opinion: Recent Developments and Future Directions in Studying the Chemistry of the Mesosphere and Lower Thermosphere
Authors: Plane John M. C. , Gumbel Jörg , Kalogerakis Konstantinos S. , Marsh Daniel R. , von Savigny Christian
Published: April 2023

Abstract. This Opinion article begins with a review of important advances in the science of the Mesosphere and Lower Thermosphere (MLT) region of the atmosphere that have occurred over the past two decades since the founding of Atmospheric Chemistry and Physics. The emphasis is on chemistry (although, of course, this cannot be decoupled from discussion of atmospheric physics and dynamics), and the primary focus is on work during the past 10 years. Topics that are covered include: observations (satellite, rocket and ground-based techniques); the variability and connectedness of the MLT on various length- and time-scales; airglow emissions; the cosmic dust input and meteoric metal layers; and noctilucent (or polar mesospheric) ice clouds. The paper then concludes with a discussion of important unanswered questions and likely future directions for the field over the next decade.
Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0
Authors: Criado Alvaro , Armengol Jan Mateu , Petetin Hervé , Rodriguez-Rey Daniel , Benavides Jaime , Guevara Marc , Pérez García-Pando Carlos , Soret Albert , Jorba Oriol
Published: April 2023

Abstract. Comprehensive monitoring of NO2 exceedances is imperative for protecting human health, especially in urban areas with traffic. However, an accurate spatial characterization of the exceedances is challenging due to the typically low density of air quality monitoring stations and the inherent uncertainties in urban air quality models. We study how observational data from different sources and timescales can be combined with a dispersion air quality model to obtain bias-corrected NO2 hourly maps at the street scale. We present a kriging-based data fusion workflow that merges dispersion model output with continuous hourly observations and uses a machine-learning-based land use regression (LUR) model constrained with past short intensive passive dosimeter campaign measurements. While the hourly observations allow the bias adjustment of the temporal variability in the dispersion model, the microscale LUR model adds information on the NO2 spatial patterns. Our method includes an uncertainty calculation based on the estimated error variance of the universal kriging technique, which is subsequently used to produce urban maps of probability of exceeding the 200 µg m−3 hourly and the 40 µg m−3 annual NO2 average limits. We assess the statistical performance of this approach in the city of Barcelona for the year 2019. Our results show that simply merging the monitoring stations with the model output already significantly increases the correlation coefficient (r) by +29 % and decreases the root mean square error (RMSE) by −32 %. When adding the time-invariant microscale LUR model in the data fusion workflow, the improvement is even more remarkable, with +46 % and −48 % for the r and RMSE, respectively. Our work highlights the usefulness of high-resolution spatial information in data fusion methods to better estimate exceedances at the street scale.
Root water uptake patterns are controlled by tree species interactions and soil water variability
Authors: Demir Gökben , Guswa Andrew J. , Filipzik Janett , Metzger Johanna Clara , Römermann Christine , Hildebrandt Anke
Published: April 2023

Abstract. Throughfall is the largest source of water entering the soil in forests, and its spatial distribution depends on several biotic and abiotic factors. It is well documented that the distribution of throughfall results in reoccurring higher and lower water inputs at certain locations. However, the role of horizontal root water uptake patterns in understanding the effects of throughfall patterns on subsurface water dynamics remains unresolved. Therefore, here we investigate root water uptake patterns by considering spatial patterns of throughfall and soil water patterns in addition to soil and neighboring tree characteristics. We conducted weekly intensive throughfall sampling at locations paired with soil moisture sensors during the 2019 growing season. We employed a linear mixed effects model to understand controlling factors for root water uptake patterns. Our results show that soil water patterns and interactions among neighbouring trees are the most significant factors regulating root water uptake patterns. Temporally stable throughfall patterns did not influence root water uptake patterns. Similarly, soil properties were unimportant for spatial patterns of root water uptake. We found that wetter locations (rarely associated with throughfall hotspots) promoted greater root water uptake. Root water uptake in monitored soil layers also increased with neighbourhood species richness. Ultimately our findings suggest that complementarity mechanisms within the forest stand, in addition to soil water variability and availability, govern root water uptake patterns.
CONTRIBUTION OF URBAN CEMETERIES TO ECOSYSTEM SERVICES: EVIDENCE FROM TOURISTIC ANTALYA CITY OF TURKEY
Authors: Eyileten B. , Selim S.
Published: April 2023

Abstract. This study focuses on concretely determining the contribution of cemeteries to the urban ecosystems in Antalya, one of the most important tourism destinations of Turkey. The study covers three cemeteries (Andızlı, Arapsuyu, and Uncalı Cemeteries) located in the city center of Antalya, with an area of 14.02 ha, 5.12 ha, and 22.96 ha, respectively. These areas are classified into two classes as vegetation and non-vegetation to calculate ecosystem services with open access and user-friendly i-Tree Canopy software to calculate the contribution of green areas in the mentioned cemeteries to the regulatory services of the ecosystem. According to the results, the green cover in the Andızlı Cemetery constitutes 81.64% of the total cemetery area and holds 54.35 tons of carbon per year. In terms of combating air pollution, it has been determined that the cemetery contributes to ecosystem services by removing a total of 1085.60 kilos of CO, NO2, O3, SO2, and PM annually. Similarly, with its 4.88% impermeable buildings, 2.93% other impermeable surfaces, 18.55% soil ground, and 73.63% vegetation, the green cover of Arapsuyu Cemetery captures 357.96 kg of pollutants per year. Lastly, Uncalı Cemetery was shown to remove 1466.01 kg of air pollutants and 73.40 tons of carbon. Cemeteries that are part of the green infrastructure system and its contributions to ecosystem services are emphasized among the proposals to be made in line with the 2050 targets of the European Green Deal. In this context, by making legal and administrative additions to the spatial planning throughout the city, the realization of this intention might be accelerated.
WATER RESERVOIRS MONITORING THROUGH GOOGLE EARTH ENGINE: APPLICATION TO SENTINEL AND LANDSAT IMAGERY
Authors: Bocchino F. , Ravanelli R. , Belloni V. , Mazzucchelli P. , Crespi M.
Published: April 2023

Abstract. Water reservoirs are subjected to increasing hydrological stresses, therefore continuous and accurate monitoring of these resources is essential to ensure their sustainable management. This work proposes a methodology to remotely monitor the surface extent of water reservoirs through the analysis of satellite multispectral and Synthetic Aperture Radar (SAR) images. In particular, a segmentation strategy was implemented within Google Earth Engine (GEE) to distinguish water bodies from the surrounding land surface and measure their extension, by applying three different approaches to Sentinel-1, Sentinel-2, and Landsat-8 imagery. The first approach is based on the use of the Automatic Water Extraction Index (AWEI) and the self-adaptive Otsu’s thresholding method, the second approach is based on the image conversion from RGB (Red-Green-Blue) to HSV (Hue, Saturation, Value) and the use of a parametric threshold, the third approach is based on the use of SAR imagery and an empirically selected threshold. A “static” validation strategy was developed from scratch and standard segmentation metrics were computed to evaluate the accuracy of the three approaches. The average values of the F1 scores on the Sentinel imagery were equal to 0.95, 0.90, and 0.84 for the three approaches, respectively. The same metric on the Landsat imagery was 0.95 for the first approach and 0.93 for the second approach. The best approach, i.e. the AWEI-based method, was then applied to three water bodies in which the effects of the 2022 drought were particularly significant: Sawa lake (Iraq), Poyang lake (China), and Po river (Italy). The results visually highlighted the good performance of the approach in segmenting the water bodies from the surrounding areas.
IMPACT OF LEARNING SET AND SAMPLING FOR SNOW AVALANCHE SUSCEPTIBILITY MAPPING WITH RANDOM FOREST
Authors: Cetinkaya S. , Kocaman S.
Published: April 2023

Abstract. Snow avalanche refers to rapid snow mass movement under the influence of gravity and is a frequently observed natural phenomenon in mountainous regions. An area affected by a snow avalanche consists of starting, track (or transition) and runout (or deposition) zones, which have different geomorphologic characteristics that need to be considered in hazard modelling. This study attempted to analyze the impact of the different zones in producing snow avalanche susceptibility maps (ASMs) with data-driven methods. The random forest (RF) method was applied to the data from Gross Spannort Mountain region (Switzerland) for this purpose. Avalanche inventories from two dates were manually delineated to separate the three zones and two RF models were trained with learning datasets; i.e. Inventory-A which includes all snow avalanche zones (original inventory), and Inventory-B with starting and track zones. The conditioning factors were defined based on the literature, data availability and study area characteristics. The trained models (Model-A with Inventory-A and Model-B with Inventory-B) were evaluated with the area under the receiver operating characteristic (ROC), precision, recall and F1 score. The results show that Model-A has AUC of 0.97, precision of 0.89, recall of 0.95 and F1 score of 0.92 and the Model-B has AUC of 0.98, precision of 0.90, recall of 0.94 and F1 score of 0.92 that indicate high prediction performances for both cases. Furthermore, feature importance values were calculated by the Mean Decrease in Impurity (MDI) method, and elevation, aspect and valley depth were found the most influencing conditioning factors.
IN AND END OF SEASON SOYBEAN YIELD PREDICTION WITH HISTOGRAM BASED DEEP LEARNING
Authors: Erik E. , Durmaz M. , Ok A. Ö.
Published: April 2023

Abstract. One sector that feels the effects of global warming and climate change on all levels is agriculture. In order to prepare for possible yield loss, as well as market, storage, and import planning challenges brought on by climate change, businesses can utilise agricultural decision support applications. Within the scope of this study, a crop yield prediction module has been developed that can provide in and end of season estimation of crop yields to be obtained from the determined regions. The Python programming language was used in the creation of the module as a QGIS plugin. The area for which crop yield predictions are to be made is covered by retrieving MODIS SR, MODIS LST, and Daymet data from the Google Earth Engine data catalogue. Histograms obtained from remotely sensed images are used as input data to two deep learning methods (CNN-LSTM and HistCNN). As a result, the HistCNN model outperformed CNN-LSTM for in season soybean yield prediction, with an R2 of 0.72, while the CNN-LSTM model outperformed it for in end of season soybean yield prediction, with an R2 of 0.67.
Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models
Authors: Steger Stefan , Moreno Mateo , Crespi Alice , Zellner Peter James , Gariano Stefano Luigi , Brunetti Maria Teresa , Melillo Massimo , Peruccacci Silvia , Marra Francesco , Kohrs Robin , Goetz Jason , Mair Volkmar , Pittore Massimiliano
Published: April 2023

Abstract. The increasing availability of long-term observational data can lead to the
development of innovative modelling approaches to determine landslide
triggering conditions at a regional scale, opening new avenues for landslide
prediction and early warning. This research blends the strengths of existing approaches with the capabilities of generalized additive mixed models
(GAMMs) to develop an interpretable approach that identifies seasonally
dynamic precipitation conditions for shallow landslides. The model builds
upon a 21-year record of landslides in South Tyrol (Italy) and separates
precipitation that induced landslides from precipitation that did not. The
model accounts for effects acting at four temporal scales: short-term
“triggering” precipitation, medium-term “preparatory” precipitation,
seasonal effects, and across-year data variability. It provides relative
landslide probability scores that were used to establish seasonally dynamic
thresholds with optimal performance in terms of hit and false-alarm rates,
as well as additional thresholds related to user-defined performance scores.
The GAMM shows a high predictive performance and indicates that more
precipitation is required to induce a landslide in summer than in
winter/spring, which can presumably be attributed mainly to vegetation and
temperature effects. The discussion illustrates why the quality of input
data, study design, and model transparency are crucial for landslide
prediction using advanced data-driven techniques.
Inquiry as Practice
Authors: Tolman Steven , Calhoun Daniel W. , Sergi McBrayer Juliann , Patel Nikheal , Cain Elise J.
Published: April 2023

As faculty of an educational leadership doctoral program (EdD) aligned with the Carnegie Project on the Education Doctorate (CPED) principles, we acknowledge the importance of inquiry to develop scholarly practitioners. Applying the tenet of Inquiry as Practice, our EdD faculty critically examined the doctoral curriculum to explore ways to effectively prepare our doctoral students to learn and apply research methodology meaningfully. This essay details how the review of our research curriculum led to a pedagogical and curriculum redesign of our research seminar series. This revised research seminar series culminates in a course offered every fall/spring semester in the final two years of the program and intentionally has different faculty members teaching each course. We have utilized a backward design to create the themes/content of these seminar courses to better prepare students for their dissertation research.
2022 Janet Doe Lecture, health science libraries in the emerging digital information era: charting the course
Authors: Kronenfeld Michael
Published: April 2023

The great challenge medical library professionals are facing is how we evolve and respond to the emerging digital era.  If we successfully understand and adapt to the emerging digital information environment, medical librarians/Health Information Professionals (HIPs) can play an even greater role in the advance in the health care of our nation and its residents. The opportunities and challenges are at the level we successfully responded to in the late 1960’s and the 1970’s under the leadership of the National Library of Medicine with its MEDLARS/Medline programs and Medical Library Assistance Act which enabled medical libraries to enter what I have referred to as The Golden Age of Medical Libraries. In this presentation, I focused on the transition of the health related print Knowledge-Based Information base to the emerging digital health related ecosystem.  I review how this transition is being driven by evolving information technology. The development of “data driven health care” built on this emerging information ecosystem is being led by the National Library of Medicine’s 2017-2027 Strategic plan and the Medical Library Association’s programs in support of developing medical librarian/HIP’s training, skills, and services to support their users access and use of this rapidly expanding health information ecosystem.  I then present a brief description of the digital health information ecosystem that is just starting to emerge and the emerging new roles and services HIPs and their libraries are developing to support effective institutional access and use.
This thesis examines the response of reinforced concrete frames infilled with semi-interlocking masonry (SIM) material. Experimental and numerical investigations were completed that showed that SIM-infilled frame stiffness is significantly smaller than that of traditional MIFs. In addition, the drift capacity of the frames was found to be substantially larger than that for traditional masonry-infilled frames. The relatively low stiffness is attributed to the SIM units undergoing in-plane sliding. These findings from the research are significant considering that the characteristically high stiffness of traditional masonry was responsible for the collapse of many infilled frame buildings in past earthquakes.
Authors:   , Dorji Sonam
Published: April 2023

This thesis examines the response of reinforced concrete frames infilled with semi-interlocking masonry (SIM) material. Experimental and numerical investigations were completed that showed that SIM-infilled frame stiffness is significantly smaller than that of traditional MIFs. In addition, the drift capacity of the frames was found to be substantially larger than that for traditional masonry-infilled frames. The relatively low stiffness is attributed to the SIM units undergoing in-plane sliding. These findings from the research are significant considering that the characteristically high stiffness of traditional masonry was responsible for the collapse of many infilled frame buildings in past earthquakes.
El modelo de acompañamiento en las empresas de inserción y su incidencia en la empleabilidad de personas en situación y/o riesgo de exclusión social
Authors: Salinas Tomás Manuel Francisco
Published: April 2023

En las últimas décadas, la Economía Social ha experimentado una importante expansión como modelo económico que ofrece nuevas respuestas a los problemas socioeconómicos del sistema colocando a las personas y sus necesidades por delante del capital y los beneficios. Dentro de las organizaciones de la Economía Social, podemos señalar a las empresas de inserción como empresas sociales que en la situación actual de crisis socioeconómica y precarización laboral generalizada, en el marco de las políticas activas de empleo, destacan como instrumentos que luchan contra la exclusión de personas con dificultades de integración sociolaboral fomentando su empleabilidad y su calidad de vida. Junto a los apoyos de las instituciones públicas, el acompañamiento social, laboral y educativo que se realiza en las mismas, pasa por ser el factor clave en cuanto al éxito de la inclusión social y laboral de las personas en situación de exclusión sobre las que se trabaja.
Способы улучшения защищённости сервисов, использующих JWT-токены
Authors: Девицына Светлана Николаевна , Пилькевич Павел Вадимович , Удод Елена Витальевна
Published: April 2023

Целью работы является определение наиболее эффективного и универсального механизма авторизации, соответствующего требованиям безопасности и защищённости информации пользователя в современном цифровом обществе. В результате были исследованы основные недостатки существующих механизмов авторизации, их уязвимые места. С помощью моделирования и дальнейшего исследования пользовательских приложений были установлены наиболее подходящие технологии обеспечения эффективной авторизации на основе Json Web Token (JWT). Предполагается не отказываться от технологии использования JWT, а, наоборот, начать её рассматривать как одну из самых подходящих и безопасных технологий на сегодняшний день. Проанализированы актуальные методы реализации данной технологии и сделаны выводы о необходимости дополнительного их улучшения из-за существующих недостатков в виде перехвата данных. В дальнейшем планируется в компьютерной киберлаборатории исследовать уровень безопасности систем авторизации на основе предложенной технологии JWT в реальных условиях.
Comparative Effect of Moonlighting on Job Commitment, Retention and Satisfaction Between Academic Staff and Medical Doctors in Nigeria
Authors: Adelugba Iyabode Abisola
Published: April 2023

This study deals with the effect of moonlighting on job commitment, retention and satisfaction between academic staff and medical doctors of public institutions in Southwest Nigeria. Data were analysed through t-test, and multivariate analysis of variance (MANOVA). Evidence from MANOVA test indicates that moonlighting has a significant effect on the dependent variables of job commitment, retention and satisfaction respectively with comparative effect of 11% for academic staffs, 4% for medical doctors and 7% for the combined effect on academic staff and medical doctors respectively. Conclusions are drawn from the findings that moonlighting has a significant effect on job commitment, retention and satisfaction between academic staff and medical doctors of public institutions in the Southwestern region of Nigeria. The study recommends that Management of public institutions should develop HRM practices that can satisfying their employees with the aim of getting them more committed to their primary duties and assignments assigned to them.
Formulation and Evaluation of Film Forming Solution of Tavaborole for Treatment of Skin Infections
Authors: D. Harak Pravin , G. Zalte Amar , S. Gulecha Vishal
Published: April 2023

Film forming solutions (FFS) as a novel approach attracted the interest of pharmaceutical scientist for skin drug delivery system development and characterization concerning with their mechanical properties and water vapor permeability. FFS were developed by varying concentration of the film forming polymers also nature and content of the plasticizer. The formulations were prepared using 32 full factorial design. They were tested for drying time, drug release, antifungal activity, skin irritation and stability studies. The FFS was characterised for pH, viscosity, drug content, effective dosage volume and mechanical properties of the film formed after application; bioadhesion and water vapour permeability were also tested. All the formulations showed results within acceptable range for various tests. The optimized formulation showed drug release of 97.2% and antifungal activity in terms of efficacy as 99.2%. Such a formulation can be claimed to decrease duration of therapy, will be more accepted by the patients and be a breakthrough in treating skin infections.
The Effect of Repeated Reading Method (RRM) in Teaching Reading Comprehension of Narrative Text to the Eighth Grade Students of SMP Negeri 1 Tanah Abang Pali
Authors: Tirta Milenia Voni , Saputri Kurnia , Larasati Finza
Published: April 2023

Abstract. The study aims to investigate the problems: “Whether or not there is any significant effect of using Repeated Reading Method to the eighth-grade students of SMP Negeri 1 Tanah Abang.” Therefore, the objective of the research was to find out whether or not there is any significant effect of using repeated reading method on the students’ reading narrative text to the eighth-grade students’ of SMP Negeri 1 Tanah Abang Pali. The sample of this research was 62 students, divided in to two classes: experimental class and control class. The sample of this research was purposive sampling. The data obtained were analyzed by using independents sample t-test in SPSS (Statistical Package for the Social Science) The result of t-obtained 4.752 was at the significant level p<0.05 for two tailed and degree of freedom (df) was 60, t-table was 2,000.

Keywords: Repeated Reading Method , Teaching , Narrative , Reading Comprehension.
Rezension von: Schnabel, Thomas, Geschichte von Baden-Württemberg 1952-2002 ...
Authors: Setzler Wilfried , Schnabel Thomas
Published: April 2023

Thomas Schnabel: Geschichte von Baden-Württemberg 1952-2002. Kohlhammer Verlag Stuttgart 2001. 320 Seiten mit 220 Abbildungen. Leinen € 49,90. ISBN 3-17-015925-9Hans-Georg Wehling, Angelika Hauser-Hauswirth und Fred Ludwig Sepainter (Hrsg.): Baden-Württemberg. Vielfalt und Stärke der Regionen. DRW-Verlag Weinbrenner Leinfelden-Echterdingen 2002. 398 Seiten mit rund 700 Abbildungen. Broschiert € 15,- (zu beziehen bei der Landeszentrale für politische Bildung Baden-Württemberg) oder gebunden € 39,- (Buchhandel). ISBN 3- 87181-481-4Gerd Betz: Kulturland Baden-Württemberg. Belser Verlag Stuttgart 2001. 222 Seiten mit 225 Abbildungen. Fester Einband € 39,90. ISBN 3-7630-2257-0Karl Moersch und Peter Hölzle: Kontrapunkt Baden-Württemberg. Zur Vorgeschichte und Geschichte des Südweststaats. DRW-Verlag Weinbrenner Leinfelden- Echterdingen 2002. 208 Seiten mit 63 Abbildungen. Gebunden € 19,90. ISBN 3-87181-478-4
Rezension von: Müller, Markus (Hrsg.), Picassos imaginäres Museum
Authors: Setzler Sibylle , Müller Markus
Published: April 2023

Müller, Markus (Hrsg.): Picassos imaginäres Museum. Hatje Cantz Verlag Ostfildern 2001. 184 Seiten mit 233 Abbildungen, davon 99 in Farbe. Leinen € 49,80. ISBN 3-7757-1123-6
Rezension von: Raimann, Alfons; Erni, Peter, Bezirk Steckborn
Authors: Setzler Wilfried , Raimann Alfons , Erni Peter
Published: April 2023

Alfons Raimann und Peter Erni: Die Kunstdenkmäler des Kantons Thurgau, Band VI: Bezirk Steckborn. (Die Kunstdenkmäler der Schweiz, Band 98). Gesellschaft für Schweizer Kunstgeschichte Bern 2001. 614 Seiten mit 495 Abbildungen. Leinen Fr. 110,-. ISBN 3-906131-02-5
Rezension von: Krieglsteiner, German J. (Hrsg.), Ständerpilze: Blätterpilze I ...
Authors: Waibel Astrid , Krieglsteiner German J.
Published: April 2023

German J. Krieglsteiner (Hrsg.): Die Großpilze Baden-Württembergs, Band 3. Verlag Eugen Ulmer Stuttgart 2001. 634 Seiten mit 297 Farbfotos und 388 Verbreitungskarten. Gebunden € 49,90. ISBN 3-8001-3536-1Martin Nebel und Georg Philippi (Hrsg.): Die Moose Baden-Württembergs, Band 1. Verlag Eugen Ulmer Stuttgart 2000. 512 Seiten mit 153 Farbfotos und 295 Verbreitungskarten. Gebunden € 49,90. ISBN 3-8001-3527-2; Band 2, 2001: 529 Seiten mit 159 Farbfotos und 322 Verbreitungskarten. Gebunden € 49,90. ISBN 3-8001-3530-X
Rezension von: Plarre, Stefanie, Die Kochenhofsiedlung - Das Gegenmodell zur Weißenhofsiedlung
Authors: Waibel Raimund , Plarre Stefanie
Published: April 2023

Stefanie Plarre: Die Kochenhofsiedlung - Das Gegenmodell zur Weißenhofsiedlung. (Veröffentlichungen des Archivs der Stadt Stuttgart, Band 88). Hohenheim Verlag Stuttgart 2001. 167 Seiten mit vielen Abbildungen. Pappband € 18,40. ISBN 3-89850-972-9
Rezension von: Internationale Alpenschutzkommission (Hrsg.), Alpenreport
Authors: Binder Hans , Internationale Alpenschutzkommission
Published: April 2023

CIPRA -Internationale Alpenschutzkommission (Hrsg.): Alpenreport: Daten, Fakten, Probleme, Lösungsansätze. Band 1, 1998. Paul Haupt Verlag Bern. 472 Seiten mit zahlreichen Abbildungen. Kartoniert € 24,90. ISBN 3-258-06371-0
The extremely fantastic E. T. A. Hoffmann - a tradition in the field of modernity
Authors:   Faculty of Philology, Plovdiv University Paisii Hilendarski, Cherpokova Svetla
Published: April 2023

The article provides a brief overview of E. T. A. Hoffmann's reception in Bulgaria – translation, literary, theatrical, film reception. Special attention is paid to its presence/absence in different periods of Bulgarian culture. The aim is to briefly present the Bulgarian contribution to the “Hoffmann” theme, in the context of the 2022 commemorations of the 200th anniversary of his death. A special focus is placed on the Bulgarian participation in the E.T.A. Hoffmann's Year in Germany.
Attitudes towards organized teaching of Bulgarian language in the diaspora in Czechia
Authors:   Masaryk university, Brno, Czechia, Krejcova Elena
Published: April 2023

The purpose of the text is to point out the different attitudes towards mastering the first language in the Bulgarian diaspora in Czechia and the degree of awareness of the need for teaching of Bulgarian in the society where the main language is different from Bulgarian. The results of a longitudinal study, including dozens of respondents from different social strata of the diaspora, are presented and their language attitudes are analyzed. The text shows different points of view regarding bilingualism, bilingual education and the maintenance and development of the native Bulgarian language in a foreign language environment.
study of stress, depress, and anxiety in secondary school students during COVID-19 lockdown in India by reinforcement learning framework using Q learning algorithm techniques in machine learning
Authors: Chourasia Ramashankar , Thakur Geeta R. , Singh Anurag , Murugesan Sakthi Ganesh
Published: April 2023

During the lockdown time, schoolchildren experience a variety of psychological difficulties. Stakeholders would be responsible for enlisting mental health specialists to assist in the resolution of such situations. As a result of the epidemic, schooling faces a unique set of challenges. There have been a number of cancellations due to the COVID 19 crisis. It is important for students’ mental health to be taken into consideration when a public health emergency occurs. When it comes to addressing this issue, it is advised that the government and schools work together to find a solution. It was the major goal of this study to determine the levels of stress, anxiety, and depression among high school students. Because of their mental health issues, such as stress, worry, and depression, students require specific treatment, according to the report. Using the Q Learning Algorithms, a model-free learning method followed throughout the survey. Based on the survey, it concludes that students experienced a variety of personal issues, such as boredom, sadness, anxiety, discomfort of staying at home, and problems with not meeting with friends, among other things.
The Impact of Digital Economy on Circulation Efficiency: Empirical Evidence from China's Postal Industry
Authors: Jin Yirong
Published: April 2023

With the rapid development of digital technology, the traditional economic operation mode has been completely changed. Digital economy has become a new driving force for world economic growth. In the context of the new development model, accelerating the development of digital economy, deepening circulation reform and improving circulation efficiency have important theoretical and practical significance for stabilizing the national economic cycle. In order to explore the influence of the development of digital economy on the efficiency of circulation industry, this paper firstly expounds the basis of dividing the circulation industry from the theoretical level based on Marx's circular economy theory, and puts forward the mechanism of the influence of digital economy on the circulation efficiency. The DEA-Malmquist model is used to calculate the productivity of the total factors of the postal industry to represent the circulation efficiency. The regression results show that the development of digital economy has significantly improved the circulation efficiency of China's postal industry.
Exercise regulates TFEB expression to influence body metabolism
Authors: Li Jiaxin
Published: April 2023

Skeletal muscle is the largest organ in the body. It is also the regulator of glucose homeostasis and is responsible for 80% of postprandial glucose uptake from the circulation. Skeletal muscle is crucial to metabolism, both for its role in glucose uptake and for its importance in exercise and metabolic disease. In this article, we outline the importance of skeletal muscle in metabolism, describe its role in glucose uptake and the diseases associated with dysmetabolism of skeletal muscle. We focus on the role of skeletal muscle in peripheral insulin resistance and the potential of skeletal muscle-targeted therapies in combating insulin resistance and diabetes, as well as other metabolic diseases such as ageing and obesity. In particular, we outline the molecular mechanisms underlying the beneficial effects of exercise on metabolic diseases, including a focus on the TFEB nucleus, which is an important regulator of glucose transport to skeletal muscle. In this article, we give an overview to summarise and discuss the important role of TFEB in metabolic and adaptive responses during exercise.
Removal of migrated intrauterine device embedded in the urinary bladder wall complicated with cystitis glandularis by a combination of laparoscopy and cystoscopic assistance and literature review
Authors: Hua Jincheng , Pan Hui , Cheng Shaoping , Deng Hao , Shi Zhenlei , Dai Jin , Huang Zhigang , Sang Yu
Published: April 2023

Objective: To explore the mechanism and prevention measures of calculi and adenular cystitis because of IUCD bladder ectopic. Method: Clinical data of one patient with IUCD bladder ectopic cystitis were collected, and the main history, examination data, intraoperative surgical methods and postoperative follow-up were also retrospectively analyzed. Result: The patient recovered well after surgery, without recurrent urinary tract infection after 1 year of follow-up, and recovered from sexual life. Conclusion: IUD allotopic and adenandular cystitis requires complete resection of the lesion, and laparoscopic combination with cystoscopy has obvious results.
Research on Probiotics and D-allulose
Authors: Xu Kang
Published: April 2023

D-allulose has attracted much attention because of its special taste and unique physiological functions, and it can be used as an ideal substitute for sucrose. At present, probiotics have been proven to have a variety of excellent physiological functions and are widely used in various fields.
Toxic effects of chemical plant residues on soil
Authors: Dai Yilun , Xia Liheng
Published: April 2023

Soil samples were collected from 6 different areas of the abandoned pesticide factory site, numbered p1, p2, p3, p4, p5, and p6, respectively. Based on the acute toxicity of Luminescent bacteria and Flea and the genotoxicity of Vicia faba root tip micronucleus, the ecotoxicological diagnosis of soil extracts from 6 samples was carried out. The results showed that the relative luminosity of the 6 kinds of extracts to luminescent bacteria were 50.7%, 56.3%, 43.7%, 53.0%, 49.6% and 67.6%, respectively. The 48-hour acute toxicity EC50 of the large flea was 6.15%, 8.65%, 0.57%, 2.52%, 0.33% and 14.94%, respectively. The results of the photobacterial experiment were basically consistent with the acute toxicity results of Flea daphnia, and the results showed that the soil pollution of the pesticide factory site was relatively serious.