bluuebunny/crossref_metadata_2025_split huggingface dataset:
Building a General Algorithm for Seismic Hazard Analysis in the Sunda Arc through Geodynamic Simulations
Authors: Triyoso Wahyu , Rosalia Shindy , Grandis Hendra 
Published: September 2024

Abstract
Because of its well-documented subduction zone and outer island arc, Sumatra provides a unique setting for studying and forecasting earthquakes within the seismically active Sunda Arc. This study builds on previous research that utilized Global Positioning System data and the Akaike information criterion to analyze probabilistic seismic hazard functions. However, this study replaces surface displacement rate data with a forward model derived from previous fault modeling results to create a more broadly applicable earthquake forecasting algorithm. Although the best-fit model patterns generated by this new algorithm are consistent with past studies, the forward model demonstrates a lower degree of fit compared to models utilizing natural surface displacement data. This discrepancy highlights the need to refine the fault parameter models to estimate surface displacement rates. Despite this limitation, the study makes a valuable contribution by developing a general algorithm applicable to other subduction zones within the Sunda Arc region. With further refinement and incorporation of more accurate fault modeling and data, this algorithm has the potential to formulate the best-fit earthquake spatial forecast models. This approach could be applied to other seismically active areas, particularly those near subduction zones.
A Review of 15 Years of Public Earthquake Forecasting in Aotearoa New Zealand
Authors: Gerstenberger Matthew C. , Christophersen Annemarie , Rhoades David A. 
Published: September 2024

Abstract
New Zealand entered a period of increased seismic activity in 2003, which, to date, has included around 20 large or damaging earthquakes. Building on decades of forecast model research and including research into formal model evaluation, GNS Science, the governmental institution tasked with providing natural hazards information, began issuing public earthquake forecasts following the 2009 Mw 7.2 Darfield earthquake. This article provides a review of the public earthquake forecasting methods and outcomes since that time. Initially the release of forecasts was motivated by the scientific team, but interest, use and understanding quickly rose in the public, government, and private sectors which led to regular refinement and additions to the type of forecast information provided. The basic tenet of forecasting has remained the same, with the forecasts being used to inform decisions requiring consideration of timeframes from days to decades. The operational models were all based on the previous 10–20 years of research in model development and testing; this included the development of methods for combining multiple models into a single hybrid model that typically provides increased statistical forecast skill. The hybrid models combine models from three classes of time horizons: (1) short-term aftershock clustering based on the epidemic-type aftershock sequence class of models, (2) medium-term clustering with time horizons of years to decades, and (3) long-term models with time horizons of decades to nominally time independent. Forecasts have been issued in response to 14 large or significant earthquakes with the forecasts and accompanying information regularly updated on the GeoNet webpages. An important component to the successful deployment and uptake of the models was the foundation laid in the previous decades in model development and testing. This provided understanding and confidence in the models’ ability to provide useful forecasts for response and recovery decisions.
USING THE INTEGRALITY PRINCIPLE IN MODERN EDUCATIONAL TECHNOLOGIES
Authors: Иванова О.В. , Сбитнева Н.Н. 
Published: September 2024

В статье подчеркивается актуальность обучения в вузе на основе принципа интегральности. Авторы характеризуют существующие интегральные технологии, анализируют принципы и методы интегральной педагогики и на основе имеющегося опыта из учебной практики предлагают собственную интегративную модель обучения в вузе, которая в максимальной степени соответствует гуманистической парадигме современного образования и учитывает многообразие факторов обучения в вузе. В разработанной авторами «модели интегративного обучения в вузе» целостная личность и целостный учебный процесс выступают в качестве интегрального результата, а сама педагогика предстает интегральной наукой.
The article emphasizes the relevance of learning based on the principle of integrality. The authors characterize the existing integrated technologies, analyze the principles and methods of integrated pedagogy, and on the basis of educational practice experience propose their own integrative model of higher education. This model is in line with the humanistic paradigm of modern education and takes into account the diversity of factors of university education. In the model developed by the authors, the integral personality and the holistic educational process act as an integral result, and the pedagogy itself becomes an integral science.
PEDAGOGICAL SUPPORT FOR FOREIGN STUDENTS IN EXTRACURRICULAR TIME
Authors: Козлова М.А. 
Published: September 2024

Важным условием успешной социокультурной адаптации иностранных студентов к обучению в российских вузах является педагогическое сопровождение. В статье рассматривается педагогическое сопровождение обучения иностранных студентов во внеучебное время, исследуется потенциал внеучебной деятельности в поддержке и адаптации иностранных студентов. Показаны особенности наставнической деятельности педагога-куратора во внеучебное время.
Pedagogical support is an important condition for successful socio-cultural adaptation of foreign students to studying at Russian universities. The article considers pedagogical support of teaching foreign students in extracurricular hours, examines the potential of extracurricular activities in support and adaptation of foreign students. The features of tutor’s mentoring activity in extracurricular hours are shown.
BIBLIOMETRIC ANALYSIS OF STATISTICAL DATA PROCESSING USING SPSS
Authors: Anastasya Diva Berta , Yuadi Imam 
Published: September 2024

Background: This research is related to statistical data processing using SPSS (Statistical Package for Social Science). Statistics has several methods that can be used in research, especially in statistical data processing. One of the tools used for quantitative data analysis is SPSS. This article focuses on bibliometric analysis in determining the data to be reviewed. Purpose: Analyze "Statistical Data Processing Using SPSS" through a search on the Web Of Science. Method: Data search is done on Web Of Science, then bibliometric analysis is done using Biblioshiny. Result: The final result through Biblioshiny of export in Bibtex format is a visualization of field category data based on keywords, publication level, regional distribution and several relevant document types. The results demonstrate the efficiency and accuracy of SPSS in data processing and help researchers understand the relationships between variables and make better data-driven decisions. It found 500 documents issued from 1991 to 2023. The annual growth was 13.14% with an average age of 6.08 years from each document. Conclusion: It can be concluded that the opportunity to study statistical data processing using SPSS is more accurate, so readers can use SPSS as a quantitative research data testing tool.
Community Policing Philosophy
Authors: Meini Bruno 
Published: September 2024

A sociological understanding of crime can adequately respond to criminal challenges through practical engagement with society. Community policing is a proactive strategy that uses problem-solving methods and strategic partnerships to solve problems related to public safety, including crime and social disturbance. The core of this policing system is a flexible organizational structure and decentralized power, in which the officer decides how best to preserve security and order in line with local needs. Decentralized administration at both the command and decision-making levels has been used as an approach to promote the effectiveness of community policy. Consequently, police officers could independently interact with communities, identifying problems and developing feasible solutions. However, this idea has variations, particularly in the debate on how community policy can construct a social system to create better strategies against criminal acts. It is essential to analyze the sociological perspective to understand the main objective of the community-oriented policing strategy. Mainly, a theory that focuses on reducing crime and crime fear enhances the conditions of life for law enforcement personnel and members of society. Hence, this article analyses each strategy component using pertinent and specific sociological theories and criminological concepts, highlighting the significant contribution of sociologists in shaping the community policing strategy. Therefore, based on sociological perspectives, this article argues that community policy can create an inclusive social system within social actors’ collaboration.

Keywords: community-oriented, crime, neighborhood, sociological perspective, partnerships
Symptoms of orthostatic intolerance are not correlated with changes in Middle Cerebral Artery Velocity
Authors: Winquist Lauren , Fitzgibbon-Collins Laura K. , Sands Jenna , Cellotto Isabella , Best Sarah , Ploeg Kayla VanDer , Cole Lauren Patricia , Borrie Michael , Bhangu Jaspreet 
Published: September 2024

Abstract

Background: Vascular diseases are recognized as a modifiable risk factor for the development of cognitive impairment. One potential underlying mechanism for this may be due to chronic alterations to cerebral blood flow (CBF), which has been linked to downstream consequences. Global decreases in CBF following a change in position are often manifested clinically as orthostatic hypotension, with changes in systolic blood pressure (SBP). This study describes clinical symptoms of orthostasis, depression, and dysautonomia in older adults and correlates these symptoms with objective measures of CBF velocity and systolic blood pressure following a supine to stand transition.
Methods: 88 adult participants were recruited from a longitudinal, observational study. Participants completed standardized questionnaires for orthostatic, depression and autonomic symptoms. Participants were fitted with standardized equipment to measure SBP and CBF at baseline, nadir, 1 minute standing, and 3 minutes standing, during a protocol defined supine to stand transition and subsequent 3-minute stand.
Results: Changes in CBF were not associated with any of the collected symptom scales. Changes in SBP were negatively associated with orthostatic symptoms. Change in SBP from baseline to stand after 1 minute was negatively associated with depression symptoms.
Discussion: Symptoms of orthostatic hypotension, dysautonomia, and depression are common in older adults. Participants reported more nonspecific symptoms of orthostasis such as fatigue, trouble concentrating, and head and neck discomfort than traditional symptoms such as dizziness or light-headedness. Our results suggest that changes in CBF may be asymptomatic, while changes in SBP are correlated with reported orthostatic hypotension symptoms.
Effect of using a birth ball on birth satisfaction and pain in pregnant women during labor: a randomized controlled trial
Authors: Aksoy Yasemin Erkal , YILMAZ Sema DERELİ , ÇELIMLI Şerife 
Published: September 2024

Abstract

Purpose
This study was applied to evaluate the effect of birth ball use on birth satisfaction and pain levels of pregnant women during labor.
Methods
The type of study is randomized controlled. The data of the study were collected in the delivery room of a state hospital in blinded between March 2020 and December 2021. The sample of the study consisted of 57 pregnant women for the intervention group and 54 pregnant women for the control group. During labor, intervention group was seated on the birth ball in an upright position; control group was laid on the bed in semi fawler or lateral positions. In the study, Descriptive Information Form, Birth Process Follow-up Form, Visual Analog Scale and Birth Satisfaction Scale-Revised were used as data collection tools.
Results
It was determined that the pain scores of the pregnant women in the intervention group were lower during the first and second follow-up than the control group. The duration of the active phase of labor in the intervention group was shorter than in the control group, and a statistically significant difference was found between them. It was found that the Birth Satisfaction Scale-Revised total score, the sub-dimensions of quality of care, women’s attributes and stress experienced during labor of the pregnant women in the intervention group were higher than the control group.
Conclusion
According to the results of the study, the use of a birth ball during the active phase of labor reduces the pain level during labor and increases the level of birth satisfaction of pregnant women.
Proteome Based Identification of Potential RNAi Targets for Cotton Mealybug (Phenacoccus Solenopsis Tinsley) Management
Authors: Singh Sanchita , Rahangdale Somnath , Pandita Shivali , Singh Manisha , Saxena Gauri , Jain Gaurav , Verma Praveen C. 
Published: September 2024

Abstract

Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae), commonly known as cotton mealybug, regarded as an invasive pest worldwide, particularly in the tropics and subtropics. Despite imposing significant economic threat on vast number of agricultural crops a promising, environment-friendly control strategy against this crop pest is lacking. Additionally, molecular aspects of this insect pest are under-studied. This is the pioneer study providing the proteome data of four different developmental stages of cotton mealybug. Differential expression of proteins (DEPs) was studied among six different groups of which, maximum DEPs (550 up-regulated and 1118 down- regulated) were obtained when the quantifiable proteins of Egg + first nymphal were compared with second nymphal instar (FC ≥ 2, P < 0.05). From the generated proteomics data potential target genes were selected for cotton mealybug management. Further, these genes were explored and evaluated for RNAi-based pest control and optimisation of dsRNA delivery system in cotton mealybug. RNAi-based pest management analysis signified that dsRNA of Ferritin-like precursor (Psfer) gene (TRINITY_DN17055_c1_g1_i1) caused a significant amount of ~ 69% mortality followed by dsRNA of probable cytochrome P450 6a14-like (Psp450 6a14) gene (TRINITY_DN47081_c0_g1) and odorant-binding protein 2 precursor (Psobp) gene (TRINITY_DN11547_c0_g1). This investigation proposes potential alternate, green strategy for management of cotton mealybug and related pest population. And this study offers valuable insights into proteome of Cotton mealybug and hemipterans further providing avenues of proteome-based identification of RNAi targets for pest management and crop improvement.
X-ray structures, thermal stabilities and kinetics of guest desolvation of complexes of three fluorenone-derived host compounds with the polar aprotic guest solvent, tetramethylurea
Authors: McFarlane Duncan W. , Barton Benita , Caira Mino R. 
Published: September 2024

Abstract

The wheel-and-axle host compounds 9,9¢-(1,4-phenylene)bis(fluoren-9-ol) (H1), 9,9¢-(ethyne-1,2-diyl)bis(fluoren-9-ol) (H2) and 9,9¢-(biphenyl-4,4¢-diyl)bis(fluoren-9-ol) (H3) each formed complexes with tetramethylurea (TMU), a polar aprotic organic solvent, with host:guest ratios of 1:2. Single crystal X-ray diffraction revealed that these complexes crystallized in the monoclinic space group P21/c, their analyses being performed in P21/c for H1×2(TMU) and in the alternative setting P21/n for both H2·2(TMU) and H3·2(TMU). Furthermore, these inclusion compounds are stabilized by both classical and non-classical hydrogen bonds between the host and guest molecules. Hirshfeld surface analyses demonstrated that the percentage of interatomic (host)H···O(guest) interactions ranged between 7.3 and 10.3%, while thermal analyses showed that the relative thermal stabilities of these complexes were high, with the onset temperatures for the guest release event, Ton, being 83.1 (H1·2(TMU)), 81.1 (H2·2(TMU)) and 90.3 °C (H3·2(TMU)). Moreover, the calculated mass loss percentages, after heating each complex in a controlled manner to release the guest species, correlated closely with those expected for these 1:2 host:guest inclusion complexes. Finally, determination of the activation energies for complex desolvation yielded 148.7 ± 5.4, 128.6 ± 10.8 and 149.4 ± 0.8 kJ·mol‒1 for H1·2(TMU), H2·2(TMU) and H3·2(TMU) respectively. A single guest desolvation mechanism was at work in the first and last of these complexes, while this mechanism in H2·2(TMU) changed during this process. The H1·2(TMU) inclusion complex has been reported previously, and the results obtained in that work are also compared with those from the present investigation.
VulD-SG: Enhancing code vulnerability detection via combining deep sequence and graph model
Authors: Zhang Xuejun , Zhou Bo , Chen Zhuo , Guo Meifeng , Du Xiaogang , Jia Xiaohong , Bai Wanrong 
Published: September 2024

Abstract

Thriving and widespread use of the open-source software community makes software vulnerabilities spread a lot, which brings serious challenges to the system security. Recently, a number of vulnerability detection methods based on deep learning have been proposed to help engineers analyze and patch vulnerabilities efficiently. However, these existing approaches still suffer from limitations in extracting rich features from vulnerability code. Aiming at the above problems, we propose VulD-SG, a dual-channel software code vulnerability detection method based on deep sequence and graph model. VulD-SG enhances the semantic, syntactic and structural features extraction ability of the source code by introducing the deep sequence-based and graph-based vulnerability feature extraction module. To address the problem of the coarse detection granularity in the traditional methods, VulD-SG slices code statements into subtokens with a new decomposition algorithm to capture the detailed vulnerability information. Meanwhile, Transformer-style encoder is utilized in graph-based vulnerability feature extraction module to aggregate program dependency graph (PDG) nodes to learn the long-range dependence of cross-function code effectively. Finally, we build a fusion model to merge the training parameters and achieve fine-grained prediction results. The experiments result show that Acc, F1, and Recall metrics were improved by 2.6\%~27\%, 2\%~29.2\%, and 1\%~30.25\% respectively on five different vulnerability datasets compared with seven vulnerability detection models based on deep learning.
Preparation and characterization of epoxidized natural rubber toughened with Ethylene-vinyl-acetate: Effect of sulfur and peroxide curatives
Authors: Zigah Mawufemor , Mensah Bismark , Onwona-Agyeman Boateng , Yaya Abu , Jackson Nimdie Kwabena , Asimeng Benard Owusu , Essien Emmanuel , Domanko Richard , Nukunya Tsatsu , Apalangya Vitus 
Published: September 2024

Abstract

This study explores the influence of sulfur and peroxide (DCP) curatives on epoxidized natural rubber (ENR)/ethylene vinyl acetate (EVA) blends prepared via melt mixing at 160oC. The effect of these curatives on cure, tensile strength, fatigue and thermal degradation behavior etc. were examined. Although it was observed that the amount of EVA in the blend significantly affected the overall performance of the vulcanizates, however the ENR/EVA-sulfur cured compounds generally exhibited better physico-mechanical than the DCP-cured samples. For example, the sample E (70phrENR/30phr EVA-Sulfur cured) attained about 60% higher cure rate than the sample A (70phr ENR/30phr EVA-DCP cured). Also, the sample E exhibited an extreme fatigue life performance (~ 1.7x104 cycles at 15% strain) which was over 170000% higher than sample A which obtained fatigue life of 10 cycles at the same strain. Again, the sample E obtained over 1200% tensile strength higher than the counterpart sample A. Even in unfilled state, the sulfur-cured compounds (D and E) exhibited high physico-mechanical properties than the DCP-cured counterparts including related blends containing high reinforcements (30 ~ 50phr) contained in literature. Therefore, further engineering of such materials could render them as suitable blends for developing rubber articles like; O-rings, gaskets, heat sinks and tread compounds.
Prediction of MJO teleconnections in the UFS global fully coupled model
Authors: Wang Jiabao , Domeisen Daniela I.V. , Garfinkel Chaim I. , Jenney Andrea M. , Kim Hyemi , Wu Zheng , Zheng Cheng , Stan Cristiana 
Published: September 2024

Abstract

The value of Madden-Julian oscillation (MJO) prediction for extratropical subseasonal forecasts hinges on the assumption that reliable MJO simulation translates to reliable simulation of its teleconnections. This study discusses the prediction of MJO and its teleconnections in the two recently developed NOAA Unified Forecast System (UFS) coupled model prototypes: Prototype 7 (UFS7) and Prototype 8 (UFS8). The MJO is skillfully predicted at a lead time of 27 days in UFS8, which is a considerable improvement (~ one-week skill increase) compared to UFS7. The potential effect of this improvement on MJO teleconnections via both tropospheric and stratospheric pathways is examined. UFS8 captures reasonably well the pattern and amplitude of the geopotential height response in the North Pacific and its evolution after active MJO events. The dipole response in the storm tracks over the North Pacific after active MJO events is also better captured in UFS8. In addition, the upward wave propagation and the following weakening in the polar vortex are better simulated in UFS8 with comparable strength as in reanalysis. Despite the notable improvements listed above, some biases still remain: too-fast MJO propagation, an underestimation of geopotential height variability in the North Atlantic and Europe, an underestimation of the precipitation response, failure to capture the temperature evolution, and weaker MJO impacts on the NAO. This study suggests the potential of increasing the MJO teleconnection prediction skill, although not in all variables, by improving MJO predictions in dynamical models with more coupled components and upgraded model physics.