bluuebunny/crossref_metadata_2025 huggingface dataset:
First Year STEM Students’ Satisfaction with Peer Mentoring: A Predictor for Student Retention
Authors: Spaulding Dean T. , Kennedy Jelane A. , Rózsavölgyi Amanda , Colón Wilfredo
Published: August 2022

Peer mentoring is often used as a method to help retain first year STEM students. This study addressed the following research question: Can we predict in the first semester which first- year STEM students will return as sophomores and which ones will not? And if so, what factors were the best predictors of STEM students returning? An Exploratory Factor Analysis (EFA) was first employed and identified four factors: Academic Skills, Satisfaction with Mentors, Institutional Fit, and Academic Relationships). Next a binary regression was performed, and results showed that in the first semester of study student satisfaction with the university (i.e., Institutional Fit) was the most significant and greatest contributor for predicting students returning their sophomore year, followed by forming Academic Relationships; all of which was the result of participating in the mentoring program. Gender and race were not significant predictors for retention; however, further examination of the study’s effect size found the effect size to be .4, low moderate, meaning the study’s results are somewhat important. It is recommended the study be replicated with a smaller sample.
The Impact of STEM Integration on Student Achievement Using HLM: A Case Study
Authors: Chine Danielle , Larwin Karen
Published: August 2022

The study’s purpose was to determine the effectiveness of a science, technology, engineering, and math (STEM) program in an urban, Ohio middle school. The definition of integrated STEM education along with curriculum, standards, and implementation models are described. Participants in this longitudinal, quantitative study were all students enrolled in grades 7-8 beginning in 2012-2013 and continuing for seven years. Per grade level for any given year, there were 25-28 participants receiving the treatment by voluntary enrollment in an integrated STEM education program (containing STEM curriculum and applying pedagogies of project-based learning) and 350-425 control participants receiving general education (defined as traditional and lacking both project-based learning and STEM curriculum). We sought to determine if participation in an integrated STEM education program had an impact on student achievement (measured by Ohio State Test scores) and, if any, interaction effects due to gender, socioeconomic status, student race, and attendance rate were present. The use of hierarchical linear modeling (HLM) determined integrated STEM education had a significant, positive effect on achievement combining math and science (participants scoring 31.8 points higher on average) and in science only (participants scoring 38.2 points higher on average) compared to control participants, respectively. No interaction effects were found. These findings pose strong implications for educational leaders in making teacher training and curriculum decisions with the aim of increasing student achievement.
Klasifikasi Penentuan Penerima Bantuan Sosial Tunai (BST) Menggunakan Algoritma C4.5 Di Desa Keramas, Gianyar, Bali
Authors: Oktha Pratiwi Ni Wayan , Widya Utami Nengah , Gede Juliana Eka Putra I
Published: August 2022

The current Covid-19 pandemic has led to an increase in the poverty rate in Indonesia. To overcome the decline in income, the Ministry of Social Affairs provides Cash Social Assistance (BST) to 9 million KPM in Indonesia. One of the villages that received cash social assistance is Keramas Village. The problem is that the BST recipient is not precise. The purpose of this study is to classify the eligibility of BST recipients using the C4.5 algorithm and the C4.5 algorithm is expected to be able to provide recommendations for decision making in receiving other assistance. The results of this study are to predict whether the community is eligible or not eligible to receive BST. Researchers tested using 5 attributes, including having received other assistance, employment, education, having a poor card, and number of dependents. The test uses 2,074 data which is divided into 2 types of data, namely 80% training data and 20% testing data. This test produces an accuracy of 97.83% and compares with the K-Nearest Neighbor algorithm which produces an accuracy of 92.29% and Naïve Bayes of 91.81%.
Impact of Green Procurement on Purchasing Performance
(Special reference to the Apparel Manufacturing Industry in Sri Lanka)
Authors: Dasanayake D.M.S.M. , Amarasena T.S.M.
Published: August 2022

This study will explore the impact of green procurement on purchasing by special reference to the ap-parel manufacturing industry in Sri Lanka. In order to achieve the stated purpose, the researcher devel-oped three research questions, three research objectives, and three hypotheses. Based on institutional theory and natural resource-based view theory, this study constructs a theoretical framework to clarify the mechanisms underlying the relationship between variables. Utilizing a sample of two hundred and fifty-two Sri Lankan professionals from the large-scaled apparel manufacturing sector, a structural model is outlined and tested using structural equation modeling (SEM). The study results demonstrate that green procurement has a positive and significant impact on purchasing performance. Further, the survey result recommended that the relationship between product-based green procurement and pro-cess-based green procurement on purchasing performance was positive and statistically signifi-cant. Consequently, organizations striving to achieve better purchasing performance should focus more on executing green procurement practices. These two kinds of procurement capabilities present two facets of a firm’s practice on green procurement, which complements rather than substitutes each other. The measurements developed in this study can capture the different aspects of purchasing perfor-mance, thus not only enabling use by practitioners to identify the immediate outcomes of it but also to understand its impacts on organizational performance.
Prevalence of methicillin resistant Staphylococcus aureus and risks factors in pig farmers in rural West region, Cameroon
Authors: Kamga Célestin Tagne , Tazemda Gildas , Magne Judith , Kengne Michel , Lacmago Suzie , Olivier Pomte , Wonkam Danielle , Anouwou Sonia , Djuikoue Ingrid Cécile
Published: August 2022

Background: Animal farming can be a potential reservoir of microbial resistance. Little data and information are documented on the prevalence and spread of methicillin resistant Staphylococcus aureus (MRSA) in remote and rural and semi-urban settings in developing countries. Yet, the increasing spread of antibiotics resistance either in the community or at the hospital has become a major public health problem in Cameroon. This study aimed to determine the prevalence of nasal methicillin resistant Staphylococcus aureus carriers among pig farmers and breeders in the West Region of Cameroon.

Methods: A total of 103 nasal scraping samples were collected in four distant division of Bamboutos, Nkoung-Khi, Menoua and Mifi for microbiological, biochemical and sensitivity testing according to the standard protocol of CASFM 2018.

Results: A high presence of Staphylococcus aureus of 29.13% was documented. S. aureus resistant showed 93.3%, to the ß-lactamases family, with MRSA prevalence at 27.18%. Resistance to glycopeptides (vancomycin) was 60%, macrolides-lincosamides-streptogramines mainly resistance to erythromycin 90% and clindamycin 30.6%, tetracycline 83.3%, fusidic acid 96.6% and to aminosides (tobramycin and gentamycin 76.6%). All isolated samples were sensitive to fluoroquinolones, notably to ofloxacin (80%) and to ciprofloxacin (86.6%).

Conclusion: There is an urgent need to implement a robust and sustainable MRSA and AMR surveillance in curbing the growing threat locally.
Industrial Propagation of Cymbidium Sp. by Bioreactor Technique
Authors: Minh Tran Van
Published: August 2022

Micropropagation of orchid plant for conservation and development is needing. Traditional propagation of Cymbidium sp. requires energy cost, many labor, large area for growing, slow growth and development, and high cost input. It is a need to find new effective ways for in vitro propagation, and plant cell technology via bioreactor techniques effort the demands. Protocorm like bodies were used as planting materials. Somatic embryo callus were initiated on medium MS + BA (0.1 mg/l) supplemented with NAA (1 mg/l) or 2,4D (1 mg/l). Somatic cell suspension were cultured for initiation and for proliferation. on medium MS + BA (0.1mg/l) supplemented with 2.4D (1 mg/l) and NAA (1 mg/l). The volume of somatic cell suspension for bioreactor cultivation was 20%. Somatic embryo suspension were cultured in bioreactor for initiation and proliferation on the medium MS + BA (0.1mg/l) supplemented with 2.4D (1 mg/l) or NAA (1 mg/l). Embryogenic suspension was stimulated on the medium MS + BA (0.5 mg/l) + NAA (0.1 mg/l). In vitro shoots of Cymbidium sp. were regeneration on the medium MS + BA (0.1 mg/l). Plantlets were enhanced growth and development in immersion-bioreactor cultivation by sinking/rising floated 1min/6hrs. Temperature, light intensity and stirring in stirring-bioreactor cultivation were favoured at 26+2oC, 11,1-22,2 μmol/m2/s, and 30 rpm. Micropropagation of Cymbidium sp. by bioreactor technique was set up to produce 5,600 platlets per one liter of somatic embryogenesis suspension
Favoriser une approche critique des applications mobiles axées sur la santé mentale
Authors: Gagné Samuel , Pelletier-Jacob Julie
Published: August 2022

Il est bien établi que les services de santé québécois sont engorgés, un phénomène exacerbé par la pandémie. Les avancées technologiques des dernières années offrent des modalités de soutien qui permettent de contrecarrer les limites des approches traditionnelles. Les applications mobiles en santé mentale présentent plusieurs avantages par rapport aux approches en personne, comme une plus grande accessibilité financière. Il est démontré que ces applications peuvent aider les utilisateurs à améliorer leur fonctionnement quotidien et à prendre conscience de leurs symptômes en les encourageant à les surveiller eux-mêmes. Toutefois, seule une minorité d’applications sont validées empiriquement et il peut être difficile pour l’utilisateur de faire un choix éclairé devant l’éventail d’applications existantes. Le présent article se veut un plaidoyer pour une approche critériée lors de la sélection d’applications mobiles, c’est-à-dire une évaluation à partir de critères clairs et concis, pour le développement d’un jugement critique par les utilisateurs. L’état actuel du domaine des applications mobiles en santé mentale sera décrit, la commercialisation rapide du domaine sera critiquée et quelques critères d’évaluation seront proposés et exemplifiés aux lecteurs. Finalement, une sélection d’applications publiées ou en cours de conception seront évaluées selon les critères abordés.
Recension de la littérature sur la relation entre les cognitions post-traumatiques, le blâme de soi et les symptômes de trouble de stress post-traumatique après une agression sexuelle
Authors: Sarazin Eléonore , Duchesne Lydia , Champagne Alyson , Flores-Tremblay Thalie
Published: August 2022

Les cognitions post-traumatiques exerceraient une influence sur le traitement du trouble de stress post-traumatique (TSPT) chez les personnes ayant vécu une agression sexuelle (AS). À notre connaissance, aucune recension de la littérature n’a été effectuée sur la relation entre les cognitions post-traumatiques, le blâme de soi et le TSPT chez les personnes ayant vécu une AS. Considérant que ces cognitions sont fréquemment observées chez cette population, la présente étude vise à brosser un portrait général de la littérature pour comprendre ces relations. Vingt-neuf articles publiés entre 2010 et 2021 ont été trouvés dans les bases de données PsycINFO et PUBMED. Trois constats se dégagent de cette recension. D’abord, les cognitions post-traumatiques prédisent la sévérité des symptômes du TSPT et médient la relation entre ces symptômes et la présence de nombreuses problématiques en lien avec la survenue d’une AS. De plus, le blâme de soi prédit les symptômes du TSPT après une AS et médie la relation entre ces deux éléments. Cela dit, il serait pertinent de cibler les cognitions post-traumatiques dans le traitement du TSPT puisque leur diminution pourrait entraîner une diminution des symptômes du TSPT.
Decentralized yet Unifying: Digital Media, Normative Crowding Out, and Solidarity in Hong Kong's Anti-Extradition Movement
Authors: Leung Brian , Hsiao Yuan , Garimella Kiran
Published: August 2022

Can decentralized, digitally-enabled movements sustain solidarity over time? What is the role of digital media in such a process? Existing studies point to the tendency of such movements towards fragmentation. We focus on the case the 2019 Anti-ELAB Movement in Hong Kong and one of the primary digital platforms for mobilization, LIHKG. We argue that LIHKG users maintain the dominance of solidarity through a strategy of normative crowding out, whereby users strategically promote solidaristic rhetoric and emotions while sanctioning divisive ones. Empirically, we analyze millions of discussion posts on LIHKG with rich text and emoji data. We first document the rising trend of online solidaristic contents despite contemporaneous tactical radicalization. Regression analyses further show that such a pattern can be produced by user-driven mechanisms in sanctioning solidaristic and divisive contents. This study has implications on the role of digital media and the sustainability of decentralized collective action.
Tutoring new song elements to male birds in the wild
Authors: Vaskuti Éva , Zsebők Sándor , Garamszegi László
Published: August 2022

Many vocalisations of songbirds are sexually selected and socially learnt behavioural traits that are subject to cultural evolution. For cultural inheritance, it is required that individuals imitate the song elements and build them into their repertoire, but little is known about how such learning mechanisms take place in natural populations of birds with large repertoire size. Using a Hungarian population of the collared flycatcher (Ficedula albicollis) as a model, we tested how often adult males can build new song elements (artificially modified or originated from distant populations) into their repertoire during mating season by using a playback approach. We predicted that when individuals incorporate new elements into their repertoire, the formerly unfamiliar elements from the playback songs would be recovered in the recorded songs of the focal males. We performed a teaching procedure with 26 males, in which we played back song sequences containing three artificially modified and three foreign syllables for each male. We recorded the song of the focal males twice a day for 2–6 days long. Then, we applied a thorough search based on a combined automatic and manual identification method to detect the tutorial syllables in the recorded songs. We found one foreign syllable type in the recordings from one male which indicates that male collared flycatchers may learn new syllable types in the courtship season. As our study has some limits, we highlight some general challenges concerning the use of playback approaches in the field for demonstrating the incidences of learning of particular song elements.
APLICABILIDADE NR-10 TRABALHOS ENVOLVENDO ALTA TENSÃO (AT)
Authors: Silva Adeleyne Maria Rondon Tomé da , Oliveira Reumally Nunes de
Published: August 2022

O artigo aborda a Norma Regulamentadora 10 (NR-10) que trata da segurança nas instalações e nos serviços em eletricidade. Por diversas vezes o cumprimento dessa norma tem ligação direta com o fator legal que não fica evidente a preocupação do empregador com o seu empregado como ser humano e que está sujeito a acidentes. Por um outro lado, o próprio empregado insiste em não cumprir a norma em decorrência de motivos culturais que, no durante a sua vida toda, nunca foi solicitado a ele ou não compreende a necessidade. Diante disso, existe uma grande preocupação com relação a formação de novos profissionais que ficarão sujeitos a esta norma diretamente, em fazer cumpri-la não somente como uma obrigação, mas sim devido a sua importância real com relação a segurança das pessoas.
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes
Authors: Xian Peng , Zhang Jianglong , O'Neill Norm T. , Reid Jeffrey S. , Toth Travis D. , Sorenson Blake , Hyer Edward J. , Campbell James R. , Ranjbar Keyvan
Published: August 2022

Abstract. In a companion paper (Xian et al., 2022, part 1 of the study), we present an Arctic aerosol optical depth (AOD) climatology and trend analysis for 2003–2019 spring and summertime periods derived from a combination of aerosol reanalyses, remote-sensing retrievals, and ground observations. Continued from the previous discussion and as the second part of the study, we report the statistics and trends of Arctic AOD extreme events using the U.S. Navy Aerosol Analysis and Prediction System ReAnalysis version 1 (NAAPS-RA v1), the sun photometer data from the AErosol RObotic NETwork (AERONET) sites, and the oceanic Maritime Aerosol Network (MAN) measurements. Here, extreme AOD events are defined as events with AOD exceeding the 95th percentile (denoted “AOD95”) of AOD distributions for given locations using 6-hourly or daily AOD data. While AERONET and MAN data estimate the Arctic median 550 nm AOD value to be 0.07, the 95th percentile value is 0.24. Such extreme events are dominated by fine-mode aerosol particles, largely attributable to biomass burning (BB) smoke events for the North American Arctic, the Asian Arctic, and most areas of the Arctic Ocean. However, extreme AOD events for the lower European Arctic are more attributable to anthropogenic and biogenic fine particles. The extreme-event occurrence dominance of sea salt is largely limited to the North Atlantic and Norwegian Sea. The extreme AOD amplitudes of anthropogenic and biogenic fine-mode and sea salt AOD are, however, significantly lower than those regions where extreme smoke AOD is dominant. Even for sites distant from BB source regions, BB smoke is the principal driver of AOD variation above the AOD95 threshold. Maximum AOD values in the high Arctic in 2010–2019 have increased compared to 2003–2009, indicating stronger extreme BB smoke influence in more recent years. The occurrence of extreme smoke events tended to be more equally distributed over all months (April–August) during the 2003–2009 period while being more concentrated in the late season (July–August) during the 2010–2019 period. The temporal shift of the occurrence of AOD extreme events is likely due to improved control of early-season agriculture burning, climate-change-related increases in summertime lightning frequencies, and a reduction in anthropogenic pollution over the 2010–2019 period.
Performance based sub-selection of CMIP6 models for impact assessments in Europe
Authors: Palmer Tamzin Emily , McSweeney Carol F. , Booth Ben B. B. , Priestley Matthew D. K. , Davini Paolo , Brunner Lukas , Borchert Leonard , Menary Matthew B.
Published: August 2022

Abstract. We have created a performance-based assessment of CMIP6 models for Europe that can be used to inform the sub-selection of models for this region. Our assessment covers criteria indicative of the ability of individual models to capture a range of large-scale processes that are important for the representation of present-day European climate. We use this study to provide examples of how this performance-based assessment may be applied to multi-model ensemble of CMIP6 models to a) filter the ensemble for performance against these climatological/ processed-based criteria and, b) create a smaller sub-set of models based on performance, that also maintains model diversity and the filtered projection range as far as possible. Filtering by excluding the least realistic models leads to higher sensitivity models remaining in the ensemble as an emergent consequence of the assessment. This results in both the 25th percentile and the median of the projected temperature range being shifted toward greater warming for the filtered set of models. We also weight the unfiltered ensemble against global trends. In contrast this shifts both the distribution of towards less warming. This highlights a tension for regional model selection in terms of selection based on regional climate processes versus the global mean warming trend.
Technical note: Evaluating a geographical information system (GIS)- based approach for determining topographic shielding factors in cosmic-ray exposure dating
Authors: Hofmann Felix Martin
Published: August 2022

Abstract. Cosmic-ray exposure (CRE) dating of boulders on terminal moraines has become a well-established technique to reconstruct glacier chronologies. If topographical obstructions are present in the surroundings of sampling sites, CRE ages need to be corrected for topographic shielding. In recent years, geographical information system (GIS)-based approaches have been developed to compute shielding factors with elevation data, particularly two toolboxes for the ESRI ArcGIS software. So far, the output of the most recent toolbox (Li, 2018) has only been validated with a limited number of field data-based shielding factors. Additionally, it has not been systematically evaluated how the spatial resolution of the input-elevation data affects the output of the toolbox and whether a correction for vegetation leads to considerably more precise shielding factors. This paper addresses these issues by assessing the output of the toolbox with an extensive set of field data-based shielding factors. Commonly used elevation data with different spatial resolutions were tested as input. To assess the impact of the different methods on CRE ages, ages of boulders at three sites with different topography were first recalculated with GIS-based and then with field data-based shielding factors. For sampling sites in forested low mountainous areas and in high Alpine settings, the shielding factors were stable, i.e. independent of the spatial resolution of the input-elevation data. Vegetation-corrected elevation data allowed more precise shielding factors to be computed for sites in a forested low mountainous area. In most cases, recalculating CRE ages with different shielding factors for the same sampling sites led to minor changes in ages. Only in a few cases, the shifts were in the order of a few percent. It is shown that the use of elevation data with a very high resolution requires precise xy-coordinates of sampling sites. Otherwise, there is a risk that small-scale objects in the vicinity of sampling sites will be misinterpreted as topographic barriers. Overall, the toolbox provides an interesting avenue for the determination of shielding factors. Together with the guidelines presented here, it should be more widely used.
A daily highest air temperature estimation method and spatial–temporal changes analysis of high temperature in China from 1979 to 2018
Authors: Wang Ping , Mao Kebiao , Meng Fei , Qin Zhihao , Fang Shu , Bateni Sayed M.
Published: August 2022

Abstract. The daily highest air temperature (Tmax) is a key
parameter for global and regional high temperature analysis which is very
difficult to obtain in areas where there are no meteorological
observation stations. This study proposes an estimation framework for
obtaining high-precision Tmax. Firstly, we build a near-surface air temperature diurnal variation model to estimate Tmax with a spatial
resolution of 0.1∘ for China from 1979 to 2018 based on
multi-source data. Then, in order to further improve the estimation accuracy,
we divided China into six regions according to climate conditions and
topography and established calibration models for different regions. The
analysis shows that the mean absolute error (MAE) of the dataset
(https://doi.org/10.5281/zenodo.6322881, Wang et al., 2021) after correction with the
calibration models is about 1.07 ∘C and the root mean square
error (RMSE) is about 1.52 ∘C, which is higher than that before correction to nearly 1 ∘C. The spatial–temporal variations
analysis of Tmax in China indicated that the annual and seasonal mean
Tmax in most areas of China showed an increasing trend. In summer and
autumn, the Tmax in northeast China increased the fastest among the six
regions, which was 0.4∘C per 10 years and 0.39∘C per 10 years, respectively. The number of summer days and warm days showed an increasing trend in all
regions while the number of icing days and cold days showed a decreasing
trend. The abnormal temperature changes mainly occurred in El Niño years
or La Niña years. We found that the influence of the Indian Ocean basin
warming (IOBW) on air temperature in China was generally greater than those
of the North Atlantic Oscillation and the NINO3.4 area sea surface
temperature after making analysis of ocean climate modal indices with air
temperature. In general, this Tmax dataset and analysis are of great
significance to the study of climate change in China, especially for environmental protection.
Design of an origami-based cylindrical deployable mechanism
Authors: Huang Long , Zeng Peng , Yin Lairong , Huang Juan
Published: August 2022

Abstract. In this paper, an innovative cylindrical deployable
mechanism (DM) based on rigid origami is presented, which is used to design
a parabolic cylindrical deployable antenna. The mechanism can be deployed
from the cuboid folded configuration to the cylindrical unfolded
configuration with only one actuator. First, an innovative deployable string
is proposed based on different types of four-vertices origami unit cells and
kirigami techniques. By considering the units as 6R single-loop
mechanisms, the kinematics of the origami unit cells are analyzed. Through
the connection of identical deployable strings, the cylindrical DM is
constructed, and its mobility is analyzed utilizing the screw theory. Then
the proposed DM is used to design a parabolic cylindrical deployable
antenna. A number of pillars are installed on the panels of the DM, and
their lengths are determined to fit the required parabolic cylindrical
surface. To verify the feasibility of the design, a scaled prototype of the
deployable antenna is constructed.
Electromyogram-based motion compensation control for the upper limb rehabilitation robot in active training
Authors: Meng Qiaoling , Yue Yiming , Li Sujiao , Yu Hongliu
Published: August 2022

Abstract. Active participation in training is very important for improving the rehabilitation effect for patients with upper limb dysfunction. However,
traditional upper limb rehabilitation robots cannot drive the patients' arms
by following their varying motion intents during active training. This
control strategy can weaken the patients' active participation. This paper
proposes a novel center-driven upper limb rehabilitation robot and an
electromyogram (EMG)-based motion compensation control method for the upper limb rehabilitation robot in active training in order to improve the patients'
active participation. In addition, the trajectory planning equations for the
proposed robot manipulator are analyzed and built in order to provide the reference trajectory in active training. In the end, two experiments are
carried out to verify the proposed control method. The EMG compensation
experiments show that the maximum error between the theoretical and
experimental motor rotating speeds is no more than 1.3 %. The active training control experiment results show that the proposed robot can implement the reference trajectory in real time. The control method can implement the positive relationship between the rotating speed and the intensity of EMG emerging during upper limb training. It shows that the proposed rehabilitation robot can provide auxiliary force according to the patients' motion intents.
The proposed rehabilitation robot can guide the patients in implementing the reference task in active training.
On the calculus of smoothing kernels for seismic parameter spatial mapping: methodology and examples
Authors: Montiel-López David , Molina Sergio , Galiana-Merino Juan José , Gómez Igor
Published: August 2022

Abstract. Spatial mapping is one of the most useful methods to display information about the seismic parameters of a certain area. As in b-value times series, there is a certain arbitrariness regarding the function selected as smoothing kernel (which plays the same role as the window size in time series). We propose a new method for the calculus of the smoothing kernel as well as its parameters. Instead of using the spatial cell–event distance we study the distance between events (inter-event distance) in order to calculate the smoothing function, as this distance distribution gives information about the event distribution and the seismic sources. We examine three different scenarios: two shallow seismicity settings and one deep seismicity catalogue. The first one, Italy, allows to calibrate and showcase the method. The other two catalogues: Lorca (Spain) and the Vrancea county (Romania) are examples of different function fits and data treatment. For these two scenarios, the prior-earthquake and after-earthquake b-value maps depict tectonic stress changes related to the seismic settings (stress relief in Lorca and stress build-up zone shifting in Vrancea). This technique could enable operational earthquake forecasting (OEF) and tectonic source profiling given enough data in the time-span considered.
A data exploration tool for averaging and accessing large data sets of snow stratigraphy profiles useful for avalanche forecasting
Authors: Herla Florian , Haegeli Pascal , Mair Patrick
Published: August 2022

Abstract. Snowpack models can provide detailed insight about the evolution of the snow stratigraphy in a way that is not possible with direct observations. However, the lack of suitable data aggregation methods currently prevents the effective use of the available information, which is commonly reduced to bulk properties and summary statistics of the entire snow column or individual grid cells. This is only of limited value for operational avalanche forecasting and has substantially hampered the application of spatially distributed simulations, as well as the development of comprehensive ensemble systems. To address this challenge, we present an averaging algorithm for snow profiles that effectively synthesizes large numbers of snow profiles into a meaningful overall perspective of the existing conditions. Notably, the algorithm enables compiling of informative summary statistics and distributions of snowpack layers, which creates new opportunities for presenting and analyzing distributed and ensemble snowpack simulations.
Bus rapid transit impacts on land uses and development over time in Bogotá and Quito
Authors: Vergel-Tovar C. Erik , Rodriguez Daniel A.
Published: August 2022

Despite the worldwide popularity of bus rapid transit (BRT), empirical evidence of its effects on land uses and development remains limited. This paper examines BRT’s impacts on land use and development in Bogotá and Quito, by using a parcel-level difference-in-differences research design. We estimate a propensity score-weighted regression model of parcel development characteristics in treatment and control areas. In Bogotá, although parcels in close proximity to the BRT are subject to fewer changes in terms of development intensity (changes in built-up area) in relation to parcels in the control area, they are more likely to change uses, shifting toward commercial activities. In Quito, the results are mixed; parcels in one BRT corridor are more likely to be subject to redevelopment, but the parcels in a more recent BRT corridor are less likely to be subject to development activity in relation to parcels in the control corridor. Taken together, our results suggest that changes in land use are important but frequently overlooked impacts produced by BRT implementation. Attempts to capture value from mass transit investments should also consider the ancillary planning decisions required to allow changes in land use.
Asuhan Kebidanan Kompherensif Pada Ibu G3P2A0 Di Praktik Mandiri Bidan
Authors: Eichi Septiani  , Sartika Maya
Published: August 2022

Kehamilan, persalinan, nifas dan bayi baru lahir merupakan suatu keadaaan yang fisiologis namun dalam prosesnya terdapat kemungkinan suatu keadaan yang dapat mengancam jiwa ibu dan bayi bahkan dapat menyebabkan kematian. Setiap kehamilan dapat menimbulkan resiko kematian ibu, pemantauan dan perawatan kesehatan yang memadai selama kehamilan sampai masa nifas sangat penting untuk kelangsungan hidup ibu dan bayinya. Tujuan studi kasus ini untuk memberikan asuhan kebidanan secara komprehensif pada ibu hamil, bersalin, nifas, bayi baru lahir dan keluarga berencana pada Ny. D dengan menggunakan pendekatan manajemen asuhan kebidanan. Metode: asuhan kebidanan yang bersifat menggambarkan suatu keadaan secara objektif selama observasi pasien dengan menggunakan SOAP Pengumpulan dan pengkajian data ini dilakukan dengan cara: wawancara, observasi, pemeriksaan fisik, pemeriksaan penunjang dan dokumentasi. Subyek: yang digunakan adalah ibu hamil normal Ny. D mulai usia kehamilan 35 minggu pada bulan maret tahun 2022 di praktik mandiri bidan kemudian diikuti sampai dengan ibu bersalin dan nifas pada bulan mei tahun 2022. Hasil: saat kehamilan Ny. D tidak ada masalah dalam kehamilannya. Proses bersalin lancar dan spontan. BBL normal tidak ditemukan komplikasi. Nifas involusi uteri normal. Kesimpulan:  selama memberikan Asuhan kebidanan komprehesif tidak ditemukan adanya kesenjangan antara teori dan praktik. Kondisi bayi dan ibu dalam keadaaan baik.
EVALUATION OF ANTIMICROBIAL ACTIVITY AND CHEMICAL COMPOSITION OF ANIBA DUCKEI ESSENTIAL OIL
Authors: GOMES Paulo Roberto Barros , SOUZA Rômicy Dermondes , LOUZEIRO Hilton Costa , MARINHO Silvio Carvalho , MOUCHREK FILHO Victor Elias
Published: August 2022

Background: The drugs normally used to combat food pathogens have some limitations, such as waste accumulation in the environment and bacterial resistance. Given this problem, alternative treatments, such as the use of essential oils, have been investigated. Essential oils containing linalool usually have high biological activity, despite this, few investigations have been dedicated to the biological activity of the essential oil of Aniba duckei, which has as major component linalool. Aim: In this work, we investigate the chemical composition and antimicrobial activity of the essential oil of the leaves of Aniba duckei obtained by hydrodistillation. Methods: The leaves and branches of the species Aniba duckei were collected in the state of Amazonas, Brazil, in the morning. The essential oil was obtained by the hydrodistillation method and characterized by GC/MS gas chromatography to identify the major components present in the oil. Soon after, the biological activity of the essential oil was tested using the Bauer Kirby method. The strains tested were Aeromonas caviae, Aeromonas hydrophila, Enterococcus faecalis and Klebsiella pneumoniae. Results and Discussion: The findings show that the major component of the oil is linalool. The most relevant secondary components are ?-terpineol, ?-copaene and ?-guaieno. As for biological activity, it was observed that the oil showed inhibition halos ranging from 10-22 mm, indicating strong activity against the microorganisms tested. Conclusions: The essential oil of Aniba duckei has potential for application as an antimicrobial agent.
EFFECT OF USING LPG OF DIESEL ENGINE: A REVIEW
Authors: MOHSEN Maysaa J. , AL-DAWODY Mohamed F.
Published: August 2022

Background: The depletion of petroleum resources and strict environmental concerns have sparked researchers to focus on searching for alternative energy sources for conventional petroleum fuels. These issues call for increasing awareness of effectively using the present reserves and turning to the use of alternative fuels. One of the solutions to achieving this is using gaseous fuels in addition to diesel fuel in diesel engines, such as hydrogen, liquefied petroleum gas (LPG), and natural gas. LPG dual-fuel engines are diesel engines modified to use LPG as the primary fuel and diesel as the secondary fuel. Aim: This study aimed to review the impact of inducting LPG through the intake manifold and directly into the combustion chamber on the combustion, performance, and emission parameters of diesel engines. Methods: This study presents a systematic review of the literature in which scientific articles were used as bibliographic sources. The selection of articles was carried out through a search in different databases. All articles found from the year 2001 to 2021 were initially selected. The following keywords were used diesel, liquefied petroleum gas, gas-powered diesel engines, and technologies. Terms were searched separately. The search strategy used to search the databases was based on the use of the following descriptors and keywords: (“diesel” AND “liquefied petroleum gas”) OR (“gas-powered diesel engines” AND “technologies”). As an exclusion criterion, all articles that did not approach LPG as the gaseous fuel in the dual-fuel engine were excluded from the work. After this survey, the total number of references used in this study was 66 articles. Results and Discussion: the results have shown that the qualities can be improved by using the techniques and concepts that have been developed. The engine and its component elements and the gas system were put through their paces in a laboratory setting. Other tests were conducted using theoretical analysis software like diesel RK. Combustion may occur either when the gas is introduced directly into the combustion chamber or when it is introduced indirectly via the air manifold and mixed with air. Conclusions: Using LPG in the CI engine improves mixing and combustion, lowers fuel consumption, and enhances emission characteristics while lowering costs. When LPG is put into an engine, the engine's performance dramatically improves. Gaseous LPG is injected into the combustion chamber to create a lean, uniform air-LPG mixture. Due to this consistent mixture, NOx emissions are drastically reduced. Increasing the temperature of the intake charge improves the thermal brake efficiency and reduces emissions of HC and CO.
Targeting Benefits Governance and Eligibility Criteria for Work Protection and Poverty Reduction Policy Process in COVID-19 era
Authors: Esien Eddy Bruno
Published: August 2022

This paper analyses eligibility criteria in der realms of public and social assistance programs under targeting benefits governance to enable third-country immigrants work protection and poverty reduction in Austria, Finland, and the Czech Republic's COVID-19 era. Existing research pointed to the COVID-19 pandemic social disorder that confronts policymakers under intense budgetary pressure and increasing out-of-work population to shift on assisting the unemployed from universal to selective targeting benefits that stress public resources distribution on a measure of financial need to the poor instead of unlimited transfer to the entire population as social rights. However, targeting governance is imperative to challenges in terms of equity and efficiency. Based on a qualitative cross-national case-oriented research approach, documents are collected and analyzed with documents and content analysis techniques to fill the gap. The findings indicate that conditional age segmentation, legislative behavioral requirement, and functional impairment regulative tools influence targeting welfare benefits eligibility governance with a lack of solidarity and transparency that may impair public and social assistance to manage third-country immigrants' work protection and poverty reduction in COVID-19 era settings. However, the comparative entities' determination of targeting benefits level differs in Austria (regional), Finland (national), and Czechia (national). The outcome indicates a new paternalism and reciprocity approach in times of austere redistributive politics. It is relevant because it reflects enabling state neo-liberal social protection system, which not only heightens means-tested selectivity and targets individual responsibilities but tactfully raises the eligibility threshold that may undermine minority group's belongings and social cohesion, participatory democracy, and equitable development in COVID-19 era.
Spinal Cord Stimulation for Post Total Knee Replacement Pain: A Case Series
Authors: Gillis Justin , Southerland Warren A. , Kaye Alan D. , Eskander Jonathan P. , Pham Alex D. , Simopoulos Thomas
Published: August 2022

It is not uncommon for orthopedic patients to experience pain following a total knee replacement (TKR). Use of oral pain medications, nerve blocks, and periarticular injections are implemented to provide multimodal analgesia and to reduce postoperative chronic pain. Spinal cord stimulation (SCS) can also be used to control pain in patients who are refractory to conservative measures. Few studies have explored this possibility for patients with chronic pain status post TKR. We present three cases that demonstrate the effectiveness of SCS in this challenging patient population.
The link between corporate social responsibility and financial performance in Taiwan: A non-linear approach
Authors: Kuang-Sheng Huang Kuang-Sheng Huang
Published: August 2022

This paper examines the relationship between Corporate Social Performance (CSP) and Corporate Financial Performance (CFP) of 286 Taiwan-listed firms during the period 2012- 2017. I use Bloomberg’s Environmental, Social and Governance (ESG) Disclosure score to proxy CSP. The CFP is measured by two accounting-based measures, namely, Return on Assets (ROA), Return on Equity (ROE), and a market-based measure as annual stock returns (Stock Returns). Results suggest that CSP influences on ROE and ROA in an inverted U-shaped pattern, supporting that the strategic CSR motive satisfies the profit maximization assumption; better current ROE (Stock Returns) will lead to subsequent CSP improvement in a positive quadratic (inverted U-shape) pattern, thus supporting the slack resources theory. To sum up, there is a quadratic bidirectional relationship between CSP and ROE of Taiwan-listed firms.

 Further, disentangling Bloomberg’s ESG Disclosure score to proxy environmental, social, and governance performance, which shows that the direct effect of environmental (social) performance on accounting-based measures of CFP is increasing (decreasing) return to scale. Hence, the Environmental Corporate Social Responsibility (ECSR) investment by TWSE listed firms benefits CFP should be encouraged in cases where the indirect influence of environmental performance on ROE and ROA through governance performance is manageable, supporting Natural-resource-based View of the firm (NRBV).

 
A bibliometric analysis on emerging technology research and development
Authors: Chia-Hung Wei Chia-Hung Wei
Published: August 2022

Virtual Reality (VR) refers to simulated, computer-generated environments in which a person becomes part of a virtual world or is immersed within this environment and, whilst there, is able to manipulate objects or perform a series of actions. The advancement of this emerging technology requires the sharing of discoveries and knowledge by both individual researchers and research teams. The purpose of this study was to undertake a bibliometric analysis of articles pertaining to VR research and development. Methods: This study retrieved data from the Science Citation Index Expanded and the Social Science Citation Index Expanded sections of the Web of Science. The keyword "virtual reality" was used to search for full articles published between 1993 and 2017. The retrieved articles were analysed by year, country of origin, journal, institution, and citation number. In addition, the core journals were identified based on Bradford’s law of scattering. Results: The literature relating to VR contained 11,150 articles from 96 countries released between 1993 and 2017. The majority of articles originated from the USA, with 3,482 articles (31.23%), the UK, with 1,204 articles (10.80%), and Germany, with 886 articles (7.95%). The articles were published in 223 subjects detailed by the Journal Citation Report’s subject classification. Among the 223 subjects, the top 30 subject areas can be roughly categorised into computer science, psychology, and medical groups. On the other hand, the top three institutional publishers were University College London (UCL), the University of Toronto, and the University of Washington. The most frequently cited article, by Seymour et al., demonstrated VR training in an operating room, and was published in the Annals of Surgery in 2002, and, as of September 2018, has been cited 1,375 times. The core zone of the four-zone division contains 34 journals, and published 2,780 articles. Conclusions: The data indicate that VR articles have grown steadily over the period studied. The trend reveals that VR research is likely to fall at the growth stage, and so more research and development outputs may occur in the near future. In addition, this study has identified principle subject areas, core journals, prolific authors, and research institutions expected to contribute to VR research and development.

 
Orbital, the Box – an Interactive Educational Tool for In-depth Understanding of Astronomical Climate Forcing
Authors: Lougheed Bryan C.
Published: August 2022

“Orbital, the Box” provides an interactive tool with graphical user interface (GUI) for stimulating active, visual learning for understanding of astronomical climate forcing. This cross-platform tool can be run locally on a personal computer using a standard web browser environment with no need for plugins, thus maximising accessibility for students and teachers alike. The tool facilitates in the development of a holistic and quantitative understanding of astronomical climate forcing by allowing students to independently vary orbital parameters, after which they can instantaneously see the resulting effect upon the seasonal and latitudinal distribution of solar irradiance arriving at the top of the Earth’s atmosphere. Such an approach follows a classic controlled experimental design whereby one parameter can be changed while all others are kept constant. This experimental tool can be deployed as a virtual laboratory, including within a flipped classroom setting, to promote active learning of traditionally challenging concepts such as the roles of eccentricity and precession in astronomical climate forcing, and in particular their interaction with Kepler’s second law and the subsequent consequences for season length.
The Prognostic Role of In-Hospital Mortality Predictors and De Ritis Ratio in Patients with Upper Gastrointestinal System Bleeding
Authors: Uçar Ayşenur , Doğrusöz Aynur
Published: August 2022

Material-Method: In our tertiary hospital's intensive care unit, we studied the clinical and laboratory records of 243 patients who had been admitted with upper GIS bleeding between January 2018 and April 2022. Results: Patients with upper gastrointestinal haemorrhage who were hospitalised were 65.8% male (M/F: 56/22). Mean age was 68.611.56 years old. One cutoff value was determined for the De Ritis ratio: 1.54. The mortality rate within the hospital was 13.1%.. Conclusion: Our results showed for the first time that the De Ritis ratio was not associated with in-hospital mortality in GI bleeding but further large clinical studies are needed to examine this issue.