bluuebunny/crossref_metadata_2025 huggingface dataset:
Hail time series from radar proxies for decadal variability of hail in Switzerland 
Authors: Wilhelm Lena , Martius Olivia , Schröer Katharina , Schwierz Cornelia
Published: March 2023

In Switzerland hail regularly causes substantial damage to agriculture, cars, and infrastructure. However, addressing hail damage is challenging, as hail is related to severe thunderstorms, one of the most complex atmospheric phenomena due to its small spatial scale, vigorous development, and intricate physical interactions. In a changing climate, hail frequency and its patterns of occurrence may change, with potentially negative ramifications, e.g. when considering agricultural losses. According to the new Swiss hail climatologies (Madonna et al. 2018; Nisi et al. 2016; Nisi et al. 2020) there is a significant difference between the interannual hail variability on the north and south sides of the Alps. Understanding the drivers of this variability is essential for possible adaptation strategies. In contrast to North America, where important drivers of interannual variability of severe convection are well studied (see Tippett et al. 2015 and Allen et al. 2020), a comprehensive analysis of the year-to-year variability of hail in Switzerland has only been done for the last 20 years (in preparation by Katharina Schröer2). A long-term analysis, however, is still missing.

Therefore, this study presents a daily hail time series for Northern and Southern Switzerland from 1950 to today. The time series is produced from radar hail proxies and ERA-5 reanalysis data. Daily POH (Probability of Hail) data from MeteoSwiss is used to identify haildays in the region north and south of the Alps (plus 140km radar buffer) from 2002 to 2021 for the hail months April - September. The decision hailday yes/no is based on surpassing a POH ≥ 80 for a certain minimum footprint area of the domains. Then, a logistic regression model is constructed for each domain to predict the occurrence of a hailday depending on various environmental variables and indices. 70 different variables were tested. The predictors were chosen based on model performance, collinearity, and expert judgement. With the two best models, haildays are reconstructed back to 1950 for each region. The time series is then used to study the local and remote drivers of interannual variability, e.g. central European weather types, large-scale variability patterns, etc., as well as to investigate past changes or shifts in hailstorm seasonality. With this knowledge, we could improve our understanding of the meteorological-climatological variability, and, with the help of climate scenarios, infer about possible changes in the future.

 
Powerful winds in Lithuania in 1961-2022 and catastrophic cases in winter 2022
Authors: Marcinoniene Izolda
Published: March 2023

According to severe weather criteria, in Lithuania very strong gusty winds ≥28 m/s are attributed to very dangerous meteorological phenomena and ≥33 m/s – to catastrophic phenomena. Usually these strong winds are caused by Atlantic cyclones. During the period 1961–2022 even 62 cases in 185 places in Lithuania have been registered. Moreover, 27 % of cases with very powerful winds (≥33 m/s) were observed (mainly close to the Baltic sea coast) and a few of them with gusts >40 m/s. Prevailing wind direction was between Southwest and Northwest. On the basis of statistics, very strong wind events in Lithuania occur mostly in cold season (especially in November, 27 %, and in January, 19 %) and bring a large damage in the western part of the country. Short summary of gusty winds will be presented on ECSS, including typical cyclone tracks, synoptic situation and some diagrams.

Though in winter 2021/2022 even 7 powerful wind cases in Lithuania were influenced by very active cyclones, the main accent of the presentation will be focused on two catastrophic wind events – on 14 and 30 of January, when the most significant damage was observed. The conference participants will be introduced with NWP models and the main analysis results of these cases. Some relation to climate change during the 60 years period will be presented in the research conclusion.

 
Predictions of convective cells from nowcasting, numerical forecasting and a combination of both
Authors: Schnoor Isabel , Brechtel Andreas , Josipovic Lukas , Pante Gregor , Posada Rafael , Feige Kathrin , Keller Julia , Blahak Ulrich
Published: March 2023

Summer thunderstorms can cause strong socio-economic impacts over Germany. The project SINFONY (Seamless integrated forecasting system) at German Weather Service has the goal to improve short-range predictions of these storms. Nowcasting (NWC) currently is superior to numerical weather prediction (NWP) on the very-short range up to about two hours in predicting convective cells while NWP performs better afterwards. Within SINFONY products are developed that integrate both approaches for a seamless prediction. High-resolution reflectivities from the German radar network are used as observational data base and for NWC initialization. The respective reflectivities from NWP models are derived by employing the radar forward operator EMVORADO. Convective cells are identified from these reflectivities using the KONRAD3D cell detection tool.

We present forecasts of convective cells from standalone NWC and NWP predictions and from a product that combines both systems. The recently developed NWC ensemble system KONRAD3D-EPS comprises 20 members with stochastic differences in the positions and life cycles of NWC objects. NWP objects come from ICON-D2-EPS (20+1 members) simulations employing a two-moment microphysics scheme with a forecast horizon of 8 hours. To combine these 41 members the NWP objects are clustered spatially, compared with each observation and the cluster closest to an observation is selected. Several properties of objects within a selected cluster are compared with the matching observed object using the Total Interest. Model objects that are similar enough to the observed object are selected and spatially shifted to make their centroid position equal to the observed cell. The trajectories of shifted NWP objects are then used, together with the NWC objects, as forecasts of convective cells. NWP objects that develop later in the forecast are considered as well but without the assignment to an observed object. Thus, with increasing lead time and the decease of cells that existed during the initialization of the combination, the product smoothly transitions into a purely model-based forecast.

Having an ensemble of predicted objects necessitates some kind of information reduction. Here the pseudomember method is employed that selects the locally most representative objects from the ensemble. For the object-based verification we use the Median of Maximum Interest. It reveals for JJA 2022 that the methods described above deliver a seamless object-based forecast product for convective cells which unifies the strengths of NWC and NWP. For lead times between 30 and 120 minutes the combined product performs even better than each prediction type standalone.
Can GNSS help satellite measurements for thunderstorm nowcasting?
Authors: Holl Gerrit
Published: March 2023

An accurate assessment of atmospheric water vapour is useful for the nowcasting of thunderstorms and heavy precipitation. Meteosat Third Generation (MTG) will offer new possibilities with the Flexible Combined Imager (FCI) channel at 0.91 µm for low level moisture and geostationary sounding using the Infra-Red Sounder (IRS), in addition to the "classic" water vapour imaging channels at 6.3 µm and 7.3 µm. Water vapour profiles offer better utility for nowcasting than integrated or single-level products. Profiles allow for the calculation of stability parameters such as Convective Available Potential Energy (CAPE) and Convective Inhibition (CIN). They are regularly derived from radiosondes, satellite sounding, and numerical weather prediction (NWP). However, radiosonde measurements are expensive and sparse; satellite soundings have a limited vertical resolution and are relatively poor in the boundary layer; and forecasts have inherent uncertainties compared to measurements.

This study looks into the value of total precipitable water (TPW) measurements from ground-based Global Navigational Satellite Systems (GNSS) in combination with satellite soundings and images. Central Europe has a dense network of GNSS stations with hourly measurements. Although GNSS cannot measure profiles, TPW measurements (calculated from bending angles) are highly accurate. When the NWP forecast sounding disagrees with the satellite sounding and no radiosonde sounding is available, GNSS TPW may help to assess which profile is more consistent with TPW and may be more accurate for CAPE or CIN. In addition, the study looks into the added value of the reflectance at 0.91 µm. Note that this study is still in its early stages and any results presented are highly preliminary. While waiting for FCI and IRS measurements, OLCI and IASI are used as proxies.
Precipitation products tailored to the user needs: a clustering-based approach that combines ensemble information and reduces data volume 
Authors: Schmidt Malte , Bondy Jan , Fundel Vanessa , Blahak Ulrich
Published: March 2023

Ensemble prediction systems have evolved as a standard in today’s numerical weather prediction (NWP). At the same time, with an increasing number of members, higher spatiotemporal resolution and more runs per day, the amount of data produced is growing fast. However, not all operational users are able to process the increasing amount of data, which calls for methods to reduce data volume while preserving as much ensemble information as possible.

The SINFONY project at Deutscher Wetterdienst (DWD) seamlessly combines probabilistic Nowcasting and NWP forecasts for precipitation, with the aim of better representing convective heavy rainfall events. Ensemble reduction of SINFONY output data aims to combine and reduce the data of an ensemble into a member-reduced ensemble that contains different precipitation scenarios. This postprocessing of an ensemble can be helpful to users that have limited computational power at their disposal but still want to benefit from the probabilistic information of the ensemble. The target users of this product are German flood forecasting authorities and their model-based flood predictions. Therefore, this product does not aim at coherently representing the entire rainfall field over the model domain (here, Germany) but over spatial scales, such as catchments, that are relevant for the users.

The scenarios in the reduced ensemble differ in probability and are designed to find the locally most dominant precipitation forecasts. The first member of the reduced ensemble is defined as the locally most probable forecast of the ensemble identified by a k-means-based clustering of the members in limited areas and blending the resulting locally most probable forecasts back together. This leads to a “mixed” forecast that is supposed to have higher statistical skill averaged over the model domain compared to the weather model’s single member. In addition, the clustering is used for the identification of precipitation scenarios that differ significantly from the locally most probable precipitation following the same approach as for the first member and using the other clusters. As a result, a reduced ensemble can be derived that contains a large part of the forecast distribution. In this poster, we present and evaluate the developed algorithm for the ensemble reduction and explore how skill depends on several parameters in convective weather situations.
Understanding the evolution of storms embedded in MCSs and associated three-dimensional structures using remote sensing observations
Authors: Tupsoundare Manisha , Deshpande Sachin , Feng Zhe , Das Subrata Kumar , Deshpande Medha , Hanmante Harshad
Published: March 2023

Mesoscale convective systems (MCS) are the largest type of deep convective storms and are important as they account for a large fraction of precipitation in the tropics, cause severe weather, and influence the larger-scale circulation. During the Indian summer monsoon (June-September), synoptic-scale weather systems forming over the head Bay of Bengal and moving north-west across the monsoon zone are responsible for frequently initiating MCSs. MCSs often produce widespread and heavy rain across the monsoon zone which is largely dependent on rainfall as a primarily farming society. The studies on structure and evolution of MCSs highlighting the organization of convection over the monsoon zone are lacking.
The MCSs can be categorized into leading-line/trailing stratiform and disorganized structures based on the arrangement of storms within them. Thus, the storms play an important role in MCS organization. Here, we focused on the evolution of internal structures of MCSs over their life cycle. A high spatio-temporal S-band Doppler weather radar data collected within the monsoon zone is used to explore 3-D structures of storms embedded in MCSs and how it relates to the MCS life cycle. First, a cloud-tracking algorithm is applied to geostationary satellite infrared brightness temperature and GPM IMERG precipitation to identify and track individual MCS events during monsoon 2014-2017. For the observed MCSs over a radar domain, we defined the embedded storm structure by applying a storm classification method to radar data. Storm classification provided each grid column with radar echoes into 5 categories namely convective, precipitating stratiform, non-precipitating stratiform, anvil, and convective updraft. 
We observed that an MCS contain multiple precipitation features, particularly during the initial development stage when multiple convective clusters begin to aggregate. Further, we examined the time series of co-evolution of storm properties (e.g., areas of convective/stratiform precipitation, convective core length, and convective core echo top heights). During the convective initiation and MCS genesis stages, the convective feature is most intense and largest, as evidenced by the deepest convective feature echo-top heights and the largest horizontal dimensions. Having identified different storms that are embedded in MCS, we applied a technique of Contoured frequency-by-altitude diagram (CFADs) to investigate the depth and internal vertical structure of storms and to show how ensemble properties of the group of storms evolve. Distinct structures of CFADs are observed. The statistics of the evolution of 3-D storm structures for all identified MCS cases will be presented and discussed at the conference.
Differences in volcanic risk perception among Goma's population before the Nyiragongo eruption of May 2021, Virunga volcanic province (DR Congo)
Authors: Mafuko Nyandwi Blaise , Kervyn Matthieu , Habiyaremye François Muhashy , Kervyn François , Michellier Caroline
Published: March 2023

Abstract. Risk perception is an essential element to consider for effective risk management at the time of eruption, especially in densely populated cities close
to volcanoes like Goma in the east of the Democratic Republic of the Congo, which is
highly exposed to volcanic hazards from Nyiragongo. The perception of
volcanic risk involves the processes of collecting, selecting and
interpreting signals about uncertain impacts of volcanic hazards. Using a
questionnaire survey, this study describes the spatial differences and
factors influencing the individual volcanic risk perception of 2224 adults
from eight representative neighbourhoods of Goma before the May 2021
Nyiragongo eruption. A composite risk perception indicator was built from
the perceived severity and perceived vulnerability. Statistical analysis of the
survey's results shows that the risk perception was high (mean = 3.7 on
a five-point Likert scale) and varies less with demographic and contextual
factors than with cognitive and psychological factors. Volcanic hazards were perceived to be more threatening the city and its functioning than the
individuals themselves. The spatial analysis shows that respondents from the eastern neighbourhoods, affected by the 2002 eruption, demonstrated a
significantly higher level of risk perception than participants living in
the western neighbourhoods. This study will help to improve volcanic risk
awareness raising in Goma.
A sensor-agnostic albedo retrieval method for realistic sea ice surfaces: model and validation
Authors: Zhou Yingzhen , Li Wei , Chen Nan , Fan Yongzhen , Stamnes Knut
Published: March 2023

Abstract. A framework was established for remote sensing of sea ice albedo that integrates sea ice physics with high computational efficiency and that can be applied to optical sensors that measure appropriate radiance data. A scientific machine learning (SciML) approach was developed and trained on a large synthetic dataset (SD) constructed using a coupled atmosphere–surface radiative transfer model (RTM). The resulting RTM–SciML framework combines the RTM with a multi-layer artificial neural network SciML model. In contrast to the Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43 albedo product, this framework does not depend on observations from multiple days and can be applied to single angular observations obtained under clear-sky conditions. Compared to the existing melt pond detection (MPD)-based approach for albedo retrieval, the RTM–SciML framework has the advantage of being applicable to a wide variety of cryosphere surfaces, both heterogeneous and homogeneous. Excellent agreement was found between the RTM–SciML albedo retrieval results and measurements collected from airplane campaigns. Assessment against pyranometer data (N=4144) yields RMSE = 0.094 for the shortwave albedo retrieval, while evaluation against albedometer data (N=1225) yields RMSE = 0.069, 0.143, and 0.085 for the broadband albedo in the visible, near-infrared, and shortwave spectral ranges, respectively.
Automatic System of Sound and Light Intensity for Swiftlet House
Authors: Prayoga Muhammad Ragil , Nursobah  , Lailitah Siti
Published: March 2023

In cultivating swiftlet nests, some swiftlet breeders still find it difficult to summon sounds and control the intensity of light in swiftlet houses. As for the bird calling technique by playing the audio of the swiftlet without having to be heard at any time and there is also a certain hour, an automatic time system is made so that the on/off audio swiftlet process can be properly organized and also the intensity of light entering the swiftlet house is too bright, so breeders close the ventilation holes with insulation or wood, so the system will be made to control light intensity by using automatic opening or closing of curtains/windows, where when the swiftlet house is bright, the curtain closes, while when the light of the swiftlet house is dark, the curtain opens. RTC DS3231 and LDR sensor which functions as a detector of sound time and light intensity, the NodeMCU ESP8266 microcontroller which functions as a data processor so that results can be displayed on the LCD. This research was conducted in stopover Village, stopover District, West Kutai Regency. Data collection methods used are literature study, interviews, and observation. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment. While the system development method used is Prototype. As well as supporting software used by the Arduino Integrated Development Environment.
Application of Collision Detection in Arjuna's Adventure Game
Authors: Pahrudin Pajar , Lailiyah Siti , Setiawan Dicky Ary
Published: March 2023

This research makes how to build a 2 dimensional game with the theme of a young man named Arjun who is on the battlefield and is attacked by "Buto Ijo's troops and must go through attacks from Buto Ijo's troops to protect the “Banakeling” kingdom. The background in taking the theme Arjuna game with side scrolling game to make this game easy to play. In game research that was built using the stages of multimedia development and also using the collision detection method. The Arjuna’s Adventure Game is built based on Android. The design system in this study uses a flowchart. Testing is done with the White Box and Black Box.
Barriers and facilitators for sustaining chronic disease prevention health promotion programs in Australia
Authors:   , Baldwin Louise
Published: March 2023

The benefits of preventive health approaches in reducing disease and illness, building healthy communities and cost-savings are well cited, however, long-term implementation and sustainability of these approaches remains challenging. This research presents a framework for health promotion practice enabling integration of community-informed preventive actions across systems, policy, practices and environments to help build healthy communities. Without sustainable implementation approaches, evidence into practice is slow and the true benefits of preventive approaches for Australian’s health aren’t realised. Several barriers and facilitators were identified and the need for greater attention to planning for sustainability at the commencement of health promotion programs.
The highlights of the interwar legal thinking in the construction of the contemporary rule of law state
Authors: Margineanu Valentin , Ciobanu Rodica
Published: March 2023

Lately, the need to re-evaluate the axiological dimension of law and to reconsider the idea of the rule of law and democratic values has been increasingly emphasized, not only in the conditions of states with young democracies such as the Republic of Moldova. The radical transformations that post-Soviet states entered towards the end of the 20th century made them aspire to the establishment of societies in which the principles of the rule of law are not only enshrined in normative acts, but are also practiced. Thus, given the diversity of challenges facing contemporary states, the processes and crises that increasingly challenge democracy and the rule of law, we consider it appropriate to return to philosophical and legal thinking and to the determination of its valences in building the contemporary rule of law, highlighting its particular, specific and original character, which determines its place in the universal philosophical-legal thinking.
Protection of honor, dignity and business reputation of citizens in international law
Authors: Lîsenco Vladlena
Published: March 2023

Honor, dignity and business reputation are moral and legal categories that, in one way or another, reflect the assessment of moral and other qualities of a person. In the article, the author highlights the historical, legal and international aspect of the institution of honor, dignity and business reputation of persons, characterizes these categories as objects of legal protection; considers ways to protect violated human rights, as well as highlights some of the problems that arise in connection with this protection. An important role in the study is given to international non-governmental organizations established to promote international cooperation in the field of protecting the rights and freedoms of a person and a citizen. A special specificity of such activities of INGOs is the presence of a related area of activities with state and supranational government structures. Moreover, its inextricable link with politics within the existing international legal order is emphasized.
Imagerie Hyperspectrale Dans l’Infrarouge Thermique Avec Le Système Aéroporté Sieleters
Authors: GAZZANO Olivier , FERREC Yann , COUDRAIN Christophe , ROUSSET-ROUVIERE Laurent
Published: March 2023

SIELETERS est un système d’imagerie hyperspectrale aéroporté qui couvre les bandes de transmission atmosphérique de 3.0 à 11.8 micromètres. Ce système fait partie du projet SYSIPHE qui opère sur des longueurs d’onde comprises entre 0.4 et 11.8 micromètres. Le pas d’échantillonnage au sol de l’instrument SIELETERS est de 0.5 à 2000 m au-dessus du sol et la résolution spectrale est comprise entre 6.7 cm-1 et 14.4 cm-1. Dans cet article, nous introduisons le projet SYSIPHE, incluant les campagnes de mesures aéroportées effectuées et le système SIELETERS. Nous présentons les résultats que nous avons obtenus avec le système. Les images hyperspectrales de ces campagnes de mesures sont compatibles avec les algorithmes de correction atmosphérique, de séparation émissivité/température, de classification des données spectrales et de détection d’anomalies. Le système SIELETERS est ouvert aux communautés nationales et internationales (scientifiques, industrielles ou institutionnelles), à l’EUFAR ou encore à des utilisateurs comme l’OTAN et l’AED.
Les Missions Spatiales Hyperspectrales Developpées Par Thales Alenia Space
Authors: PISTONE Frédéric , BAILLION Yvan , MATHIEU Sandrine
Published: March 2023

Embarqué sur la plateforme ENVISAT, le spectro-imageur MERIS développé par Thales Alenia Space a permis de mesurer, à partir de 1993 et jusqu’en 2012 les paramètres environnementaux notamment de la couleur de l’Océan au large et sur les zones côtières. Avec le programme Copernicus de l’Union Européenne s’est ouvert en 2014 une évolution vers des mesures opérationnelles grâce aux satellites Sentinel 3 dédiés aux océans et équipés d’une nouvelle génération de spectro-imageurs, OLCI, héritiers de MERIS; quatre satellites sont programmée afin d’assurer la continuité des mesures sur de longues séries temporelles. A l’horizon 2029, le programme Copernicus va se diversifier avec un satellite d’imagerie hyperspectrale confié à Thales Alenia Space, Sentinel-10 ou CHIME (Copernicus Hyperspectral Imaging Mission for the Environment). Cet ensemble de réalisations complété par le développement de sondeurs atmosphériques hyperspectraux comme IASI sur METOP et IRS sur METEOSAT, constituent une expertise technique de pointe, unique au monde.
The Influence of Consumer's Brand Perception on Brand Trust and Product Purchase Intention for Hair Salon Concept Products
Authors: Lim Min-Ji , Park Eun-Jun
Published: March 2023

This study was carried out to know the effects of marketing mix 7Ps on switching mutual personal relation, attraction of alternatives and converting cost of barriers intentions. Based on the result, the purpose of this study is to suggest the ways to prevent customer separation and increase sales consistently. secure new customers. As for the subject of this study, 731 customers of hair salons in Seoul and Kyonggi Province were selected to respond to and analyzed the self-administered questionnaire. Collected data was analyzed using SPSS 22.0. Analytical analysis was carried out on the data in the form of frequency analysis, factor analysis, reliability analysis, and regression analysis as a result, the effect of marketing mix on mutual personal relation has partly significant result in recognizability, quality, price and promotion. Secondly, influence of marketing mix on attraction of alternatives has partly significant result in all of 6Ps, except people. Thirdly, the effect of marketing mix on converting cost has partly significant result in promotion and people. In conclusion, on the basis of this research, it can be seen that the beauty manager should notice continuous use and strengthen marketing which leads to the number of frequenter and sales.
The Effect of Psychological Utility of Beauty Care Behavior on the Stress Relief of Silver Women: Mediating Effects of Physical Respect
Authors: Choi Mi-Jeong
Published: March 2023

The purpose of this study is to examine the effect of psychological utility of beauty care behavior on stress relief in women over 50 years old, and to examine the mediating effect of physical respect in the relationship between these variables. In this survey, women over 50 years of age residing nationwide were selected as the population. In addition, women in their 50s and older in the Seoul metropolitan area were selected as a sample group, and an online survey was conducted for about 4 weeks from September 2022 to the sample group. The research results are as follows. First, it was found that diversion, confidence, and self esteem, which are sub-factors of psychological utility of beauty care behavior, had a significant positive (+) effect on physical respect. Second, it was found that physical respect had a significant positive (+) effect on stress relief. Third, it was found that diversion, confidence, and self esteem, which are sub-factors of psychological utility of beauty care behavior, had a significant positive (+) effect on stress relief. Fourth, the mediating effect of physical respect was confirmed in the relationship between psychological utility and stress relief of beauty care behavior. In conclusion, it was confirmed that the beauty care behavior of silver women over 50 had a significant effect on their psychological factors, and in particular, it was found that the formation of physical respect was important.
Effect of Sole Proprietor Hair Salon’s SNS Information Characteristics on Consumer Attitude and Purchasing Behavior
Authors: Kim Nurim , Jin Yong-Mi
Published: March 2023

This research studies the effect of SNS information characteristics on consumer attitude and purchasing behavior with specific focus on sole proprietorship hair salons which are becoming more popular in recent times. A total of 338 surveys were collected, then SPSS 24.0 was used to conduct frequency analysis, factor analysis, reliability analysis and multiple-regression analysis. Results indicated every factor of sole proprietor hair salon’s information characteristic had a statistically significant effect on the positive attitude factor of consumer attitude and the purchase intention factor of purchasing behavior. Sole proprietor hair salons should provide current information on the most sought-after services, such as haircuts and colors as well as sales promotions that recent salon users are looking for, then present this information in a useful and an entertaining manner. In addition, allowing consumers to interact by participating in events such as hashtag promotions will result in consumers forming a positive attitude about sole proprietor hair salons, purchasing hair services and engaging in positive promotional activities. These findings can serve as data for predicting consumer attitude and behavior regarding sole proprietor hair salon’s SNS information and help establish practical marketing strategies suitable for sole proprietorship hair salons.
HEMŞİRELERİN ZAMAN YÖNETİMİ KONUSUNDAKİ BAŞARI DÜZEYLERİNİN DEĞERLENDİRİLMESİ
Authors: YILMAZ Gülhan , TEMİZ Gamze
Published: March 2023

Zaman Yönetimi planlama ve organize etme süreci olarak tanımlanmaktadır. Hemşirelerin zaman yönetimini kullanması, hasta bakım ve tedavi sürecinin aksamadan devamlılığını sağladığı gibi bakıma ayrılan sürenin her anının verimli bir şekilde planlamasına olanak vermektedir. Hemşirelerin klinik alanlanda zaman yönetimi ile ilgili bilgi birikiminin ve farkındalıklarının arttırılmasıyla hasta bakım kalitesinin en üst düzeyde olması hedeflenmektedir.

Amaç: Bu araştırma hemşirelerin zaman yönetimi konusundaki başarı düzeylerinin değerlendirilmesi amacıyla planlandı.

Gereç ve Yöntem: Araştırma hastanede çalışan ve araştırmaya katılmayı kabul eden 151 hemşire ile yürütüldü. Veriler kurum izni ve etik kurul onayı alınarak anket formu ile toplandı. Anketler SPSS 22.0 programı kullanılarak değerlendirildi.

Bulgular: Zaman Yönetimi Ölçeği puanlarının hemşirelerin cinsiyetlerine, eğitim durumuna, meslekte toplam çalışma süresine, zaman yönetimi ile ilgili daha önce bilgi alma durumuna, iş tanımlarının mevcut olma durumuna, hemşirelerin kendisi için tanımladığı en uygun davranış tipine, görevini yerine getirirken kullandığı zamanın yeterli olma durumuna göre karşılaştırılmaları yapıldığında istatistiksel olarak anlamlı bir fark bulundu (p
İnmeli Hastalara Bakım Verenlerde Bakım Yükü, Anksiyete ve Depresyon Düzeyinin İncelenmesi
Authors: ÇETİNKAYA Nurdan , DÖNMEZ Elif
Published: March 2023

Giriş ve Amaç: Araştırmanın amacı inmeli hastalara bakım verenlerde bakım yükü, anksiyete ve depresyon düzeyinin incelenmesidir. Gereç ve Yöntem: Araştırmanın verileri 150 inmeli hastalara bakım verenler ile yapılmış olup Mayıs-Aralık 2020 tarihleri arasında yürütülmüştür. Veriler; Bakım veren bilgi formu, Beck Depresyon, Beck Anksiyete Ölçeği, Bakım Verme Yükü Ölçeği, Lawton ve Brody’nin Enstrümental Günlük Yaşam Aktiviteleri ve Katz’ın Günlük Yaşam Aktiviteleri Ölçeği ile toplanmış olup tanımlayıcı-kesitsel türde planlanmıştır. Veri analizinde SPSS 25.0 programı kullanılıp, gerekli etik onay ve izin alınmıştır. Bulgular: Bakım verenlerin %59.30’ü kadın, yaş ortalamaları 40.00±10.70 bulunmuş olup bakım yükü puan ortalaması 56.20±14.70 saptanmıştır. Bakım verenlerin %29.30’ünde orta düzeyde anksiyete, %32.00’sinde orta düzeyde depresif belirtiler görülmüştür. Bakım verenlerin sosyodemografik özellikleri anksiyete ve depresyon düzeyi ile karşılaştırıldığında, eğitim, çalışma, sağlık durumu, cinsiyet ve fiziksel sorun varlığı arasında anlamlı farklılık bulunmuştur (p
Conceptos, fundamentos y herramientas de neurociencia y su aplicación al billete
Authors: Aroca Moya Belén
Published: March 2023

El neurodiseño y el diseño emocional se aplican en el desarrollo de productos que conecten con la visión y el estilo de vida de los consumidores. Esta tendencia también afecta a los billetes: son necesarios diseños más seguros y fiables que logren representar a los ciudadanos y despertar un sentimiento de orgullo al utilizarlos.

El objetivo de este documento es compilar los conceptos y fundamentos clave de la neurociencia, la percepción y el diseño, así como ofrecer una visión general de la neurociencia y de las técnicas de análisis aplicadas al ciclo de vida del billete: el diseño de billetes y de sus elementos de seguridad, la discriminación de reproducciones ilegítimas y la evaluación de defectos de fabricación para la gestión de la calidad.

Las técnicas de análisis neurométrico constituyen una herramienta eficaz para cuantificar el impacto de la estimulación sensorial de la percepción del billete y evaluar diferentes procesos cognitivos, como el interés visual, la memoria, las emociones o la atención sostenida en las diferentes zonas de interés del billete, tal y como se describe en los distintos estudios de percepción analizados en este documento. Esta información, junto con el análisis de los diferentes modelos perceptivos de los usuarios (incluidas las personas con problemas de visión), permite desarrollar diseños de billetes capaces de responder a las necesidades de los usuarios y facilitar la identificación de los elementos de seguridad incluidos.

La introducción de nuevas tendencias, como la tactilidad, el estudio de la voz, la realidad virtual o la inteligencia artificial, contribuye a la continua adaptación y evolución de la neurociencia y de sus herramientas.
Theoretical Approaches and the Analysis of the “Budget Deficit – Public Debt” Relationship in the Case of the Republic of Moldova
Authors: LITOCENCO Ana
Published: March 2023

The continuous trend of increasing the needs for financing the economic sectors puts more and more pressure on the budget revenues that are generated at the government level from taxes and fees, the problem of the budget deficit in most states of the world becoming acute as a result of the events that took place on global level in the last few years (COVID-19 pandemic, energy crisis, etc.). Given that the most frequently used source of accessing the necessary financial resources and covering the budget deficit is financing through the public debt, the purpose of the given article is to research the approaches related to the relationship between these two economic phenomena (budget deficit and public debt) and their consequences on the economy of a state. Also, the article presents the level of coverage of the budget deficit of the Republic of Moldova through the public debt.
Exploring the Antimicrobials Production Potential of Actinobacteria Isolated from Caves at Bahadurkhel Karak, Pakistan
Authors: Nawaz Shahid , Fatima Aiman , Saleem Maira , Sajid Imran
Published: March 2023

Cave actinobacteria are relatively less explored and are considered as the new targets for the discovery of novel antimicrobials, specifically against highly resistant pathogens such as extensively drug-resistant (XDR) Salmonella. In this study N=20 actinobacteria isolates were retrieved from the least disturbed caves situated at Bahadurkhel Karak, Pakistan (33° 16’ 52” North, 70° 79’ 07” East) and (33° 15’ 90” North, 70° 94’ 72” East). The isolates were identified using standard morphological and biochemical characterization procedures as well as by 16S rDNA sequencing. N= 16 isolates were targeted for further antimicrobial activity screening based on their preliminary morphological and biochemical identification. The methanolic extracts were prepared from the culture broth of the isolates by using Amberlite® XAD-16 resin to execute in situ solid phase extraction. The thin layer chromatography (TLC) showed the presence of a variety of different compounds in the crude extracts of the secondary metabolites. The extracts’ antimicrobial potential was analyzed against several test strains, including Salmonella enterica, Staphylococcus aureus, Bacillus subtilis, Klebsiella pneumoniae, and Escherichia coli. Among the isolated strains, the isolates SNK 93 and SNK47 were found to be the most active against the tested pathogenic bacteria, showing growth inhibition zones of 20 mm and 27 mm respectively against extensively drug-resistant (XDR) Salmonella. Based on these results it can be concluded that cave actinobacteria are a promising source of potentially novel antimicrobials against multidrug-resistant (MDR) and XDR pathogens.
Enteral nutritional therapy of premature newborns (<1,500g) admitted to a neonatal intensive care unit
Authors: Cruz Danielle Cristina Papote da , Gonçalves Bianca Tiellet , Oliveira Antonia Aparecida Deluca de , Sbeghen Cristiane Cover , Günther Rafaella Jungend , Nerbass Fabiana Baggio
Published: March 2023

Preterm newborns (PTNBs) are challenged by their physiological immaturity and need intensive care and, therefore, are considered patients at nutritional risk. The present study aimed to monitor the nutritional evolution of premature newborns (<1,500g) admitted to the neonatal intensive care unit of a public maternity hospital in southern Brazil. This is an observational, descriptive and prospective study with a quantitative approach, based on the review of 24 medical records analyzed using simple descriptive statistics. The average gestational age (GA) at birth was 27 weeks and 2 days for group 01 and 29 weeks and 5 days for group 02, and the average birth weight found was 820g and 1223g, respectively. The average weight gain of both groups was 21 to 23.6g per day of hospitalization. Regarding the caloric value achieved by the diet, in both groups the average was 138.24 to 140.34 kcal/kg/day, with a maximum of 159.4 kcal/kg/day. The research made it possible to know the nutritional profile of preterm infants based on growth parameters and also through the practices carried out at the unit.
Production of cellulolytic enzymes from microorganisms isolated from coconut fiber
Authors: Cerqueira Keilla , Silva Graziella , Silva Karollyna , Rodrigues Jacqueline , Souza Roberto , Lobato Ana Katerine
Published: March 2023

The worldwide production of microbial enzymes is generally limited by the cost of the substrate used for the cultivation of microorganisms. Thinking of a low-cost and abundant lignocellulosic substrate, coconut fiber is an alternative because it is rich in cellulose, hemicellulose, and lignin, presenting itself as a promising raw material for the production of an enzyme cocktail, which can be used in the production of second-generation biofuels. The objective of this work was to produce cellulolytic enzymes from microorganisms isolated from coconut fiber. In the production of the enzyme, the kinetic profile of the enzymatic complex was evaluated, analyzing the effects of moisture content, temperature, and pH during solid-state fermentation of coconut fiber, using a microorganism isolated from the bagasse itself. Statistica software was used to evaluate the enzyme complex production parameters. Statistical results indicated that the best humidity, temperature, and pH conditions were 80%, 30°C and 3, respectively, with activities of 119.93 U/g CMCase (endoglucanase) and 89.32 U/g FPase (total cellulases ) over a period of 48 h.
Adverse perinatal outcomes related to alcohol consumption during pregnancy
Authors: Pelegrino Bouza Paloma , Faust dos Santos Samara , Aparecida Deluca Antonia , Luiz Laura , Ribeiro e Silva Rodrigo , Carl Silva Jean
Published: March 2023

Objective: To assess adverse perinatal outcomes related to alcohol consumption during pregnancy. Methods: This is a cross-sectional study, carried out at the Darcy Vargas Maternity Hospital in Joinville-SC, from August to December 2020. An interview was carried out with a sample composed of puerperal women. Patients were divided into 2 groups, patients who consumed and who did not consume alcohol during pregnancy. Adverse perinatal outcomes were analyzed by calculating the odds ratio, using the 95% confidence interval, with significant results with p<0.05, adjusting for confounding factors: age, previous cesarean section, hypertension, previous diabetes, smoking and other drugs. Results: The group with alcohol consumption consisted of 38 postpartum women (2.2%) and 1632 (97.8%) did not consume alcohol. After calculating the adjusted odds ratio, it was found that alcoholism increased the chance of LBW (OR=5.545 95%CI 1.129-27.246) and neonatal ICU (OR=3.870 95%CI 1.184-12.647), without interfering in the other outcomes. Conclusion: Alcoholism increased the chance of LBW by 5.5 times and of NICU by 3.8 times.
Study and evaluation of the oxidative stability of biodiesel commercialized in the Northern region of Brazil
Authors: Oliveira Eliomar Passos de , Lasmar Dimas José , Chaar Jamal da Silva , Rocha Augusto César Barreto , Lima Everaldo de Queiroz , Guerreiro Helder , Filho Fernando Aguiar , Carmo Gilberto Batista do , Macedo Francijane Pacheco de , Santos Ewald Pimentel , Oliveira Lucas Heugênio Brito de , Modesto Maisy Ingrid Paes Rabelo , Rodrigues Jean Lucas da Silva , Oliveira Karem Cristina de Souza , Barbosa Pedro Paulo Nunes , Castro Felipe Passos de , Uchoa Anna Walleria Guerra
Published: March 2023

This study sought to assess the panorama of the biodiesel issue in northern Brazil, referring to the physical chemical parameter of oxidative stability. Data were collected between the years 2020 and 2021 in the cities of Manaus and Porto Velho, through routine collections in the tanks of the distribution bases and analyzes carried out in the research and fuel testing laboratory (LAPEC) located at the Federal University of Amazonas (UFAM). The results showed the disparity of the oxidative stability of biodiesel with the current standard, placing it beyond the minimum specification, affecting its mixture with diesel S10, however diesel S500 still remained below the maximum limit determined by the National Petroleum Agency, Natural Gas and Biofuels (ANP). Thus, investigations carried out on the action of diesel in its mixture with biodiesel, improving its oxidative stability, determined that the sulfur content represents a significant factor for this. Therefore, this work allowed prospecting the panorama of the quality of biodiesel in the northern region of the country, directing critical thinking towards the elucidation of the exposed bottlenecks.
Non-pharmacological measures for pain management in newborns in the Neonatal Intensive Care Unit: Integrative Review
Authors: Rosa Maria Antonia Faria , Gomes Brendha Oliveira , Pinheiro Jamilly Cristina Elias , Beserra Rayane Alves , Macedo Eliza Cristina
Published: March 2023

General Objective: To identify which non-pharmacological measures are applied within the NICU. Method: The study used the integrative literature review method, carried out in the databases: MEDLINE; LILACS; BDENF; and IBECS. Results: After using inclusion and exclusion criteria, 11 studies with a quantitative approach were selected. Conclusion: Most articles discuss the most widespread and used non-pharmacological measures, not extending or bringing the benefits of others, which becomes a challenge during the assistance provided to this public.
Interdisciplinarity and research on the institutes of Civil Procedural Law: the case of the incident of resolution of repetitive demands
Authors: Santos Rodrigo de Meneses dos , Oliveira Tarsis Barreto
Published: March 2023

In legal research, the tendency has been the prevalence of legal theoretical-conceptual issues, centered on a disciplinary model, especially for the resolution of problems of a practical-professional nature. Considering the complexity that involves professional interdisciplinary research, the article aims to discuss the theoretical-methodological assumptions that may enable the dialogical analysis between distinct areas of knowledge to solve, at the practical-legal level, issues related to the repetitive claim settlement incident. To meet the proposed objective, we initially presented considerations on the importance of interdisciplinarity as a place of scientific production and its methodological face in the development of legal research. Next, we pointed out the theoretical-dogmatic analyses about the institute that is the object of the research in order to, in the context of complex knowledge, consider the contingencies of the factual reality that are not solved only from the specialty of one area, but demand other reflections and the interaction of content and methods from other fields of knowledge. Finally, in the form of brief considerations, reflective proposals were presented for the opening of interdisciplinary and professional analysis in the search for solutions to problems that make the relational dynamics in contemporary society increasingly complex.
Influence of Copaifera multijuga hayne oil-based emulsion on the stability of the dentin matrix
Authors: Gomes Letícia , Lima Geisy , Mota Ana Laura , Passos Vanara , Bandeira Maria Fulgência , Conde Nikeila , Toda Carina
Published: March 2023

The objective of this work was to analyze the elastic response of dentin to the biomodification of the organic matrix with the use of an emulsion based on Copaíba oil. Sound human third molars, 0.5 mm x 1.7 mm x 7 mm, were prepared, 90 samples were obtained, demineralized, radiographed and tested at baseline and immersed for 30 and 60 minutes in the test substances: GC1 (distilled water); GEC (Copaiba oil-based emulsion); GCLX (2% Chlorhexidine). The modulus of elasticity (ME) was evaluated immediately after biomodification and at 3, 7 and 14 days after treatment. The specimens were tested in 3-point flexion with a 5 N load cell. The data were submitted to statistical analysis using parametric test of mixed three-way ANOVA. All groups showed a decrease in ME over time. The immersed specimens from the GEC group showed the highest values after 3 and 7 days. It was concluded that the treatment of collagen with all the test substances at 30 and 60 min of immersion immediately reduced the ME, however the GEC group was the one that presented the highest values of the mean modulus of elasticity, promoting greater stability throughout the period. evaluation time.