bluuebunny/crossref_metadata_2025_split huggingface dataset:
Educação Ambiental e Educação Física: Articulação Exitosa em uma Escola Rural de Uruguaiana-RS
Authors: Moraes Maria Elisabeth Valls de , Cunha Fernando Icaro Jorge 
Published: November 2021

Este é um projeto de pesquisa de Educação Ambiental (EA) baseado na Agenda 2030 para o Desenvolvimento Sustentável da Organização das Nações Unidas (ONU) em seu objetivo 12 - consumo e produção sustentáveis desenvolvido parcialmente em 2020 em virtude da pandemia de Covid-19. Realizou-se na Escola Municipal de Educação Básica (EMEB) Dr. Crespo de Oliveira no município de Uruguaiana, participante do Programa de Educação Ambiental da Rede Municipal de Ensino (PEARME), projeto de extensão da Universidade Federal do Pampa (UNIPAMPA) - campus Uruguaiana. EA é um tema transversal necessário a ser debatido nesta escola localizada na zona rural que vivencia os efeitos positivos e negativos da produção agrícola, seus descartes e não conta com a coleta seletiva do município. O projeto foi planejado para oito aulas de Educação Física (EF) e articulado com a EA. Os objetivos são: propiciar o entendimento dos alunos dos anos finais do correto descarte dos produtos orgânicos e secos nas lixeiras adequadas e evidenciarem o cuidado com a limpeza, organização e estética da escola. Este cuidado está relacionado com educar, com agir pensando nas relações entre os seres vivos e os ambientes onde vivem. Funcionários/as, professores/as e equipe diretiva participaram da execução do estudo. Os resultados foram parcialmente atingidos em um menor número de aulas, mas a pesquisa evidenciou a adesão dos alunos ao trabalho em grupo e o cuidado com a escola. Ficou evidente a relação entre EF e EA na construção do conhecimento de maneira integrada.
The Application of Jigsaw Cooperative Learning Model through Lesson Study in the Grade X of State Vocational High School/SMK in Sukoharjo
Authors: Subiyantari Ansheila Rusyda , Setiawan Abdul Haris , Sumarni Sri 
Published: November 2021

<p>Cooperative learning model Jigsaw which collaborated with lesson study is one of the strategies used to stimulate the students’ participation in the learning process, especially in solving and explaining each answer of problems given by the teacher so that the learning process is not only centered on the teacher but also the students. The purposes of this research are to: (1) determine the application of the appropriate steps in order to increase students’ participation and students’ learning outcome through Jigsaw cooperative learning model with lesson study; (2) to know the improvement of students’ participation and students’ learning outcome for the Engineering Mechanics subject of grade X of state SMK in Sukoharjo through the implementation of Jigsaw cooperative learning model with lesson study. This research is a classroom action research which conducted in three cycles.</p><p>The results showed that: (1) there was appropriate application of steps in improving the students’ participation and students’ learning outcome in accordance with the Jigsaw cooperative learning model through lesson study; (2) students became more active in participating in grade, such as asking, giving opinion, and discussion. The percentage of completeness of students’ learning outcome in the cognitive area of pre-cycle was 30%, 64.71% in the first cycle, 79.41% in the second cycle, and 82.35% in the third cycle. Then, in term of students’ learning outcome in the affective area, most students were predicated Very Good and Good. Next, the percentage of completeness student learning outcome in the pre-cycle of psychomotor was 26.67%, 61.76% in the first cycle, 79.41% in the second cycle, and 85.29% in the third cycle. From this analysis, it can be concluded that the implementation of Jigsaw cooperative model through lesson study with appropriate steps has succesfully increased the students’ participation and students’ learning outcome of grade X of state SMK in Sukoharjo on the subjects of Engineering Mechanics.</p>
Analysis of Principal's Motivation and Leadership Technology Pathway through Mediator Learning Strategies with Gender Moderators in Maya Seesaw Classes
Authors: Ning ST Nurjaningsih 
Published: November 2021

<p>The purpose of this study is to explore motivations mediated by the integrated learning strategies of Communication Information Technology (ICT) for improving the technology leadership of school principals by moderating the gender variable in the virtual class seesaw during the training of strengthening the competency of the Principal of the Kendal Vocational School in 2019. This research was conducted using quantitative approach using cross-sectional design. Path analysis is used to determine the effect of motivation on the principal's leadership through learning strategies with gender moderator factors. Vocational school principals who participated in this study as many as 30 participants who participated in the training of strengthening the competency of vocational school principals. At the end of the training, the principals answered the motivation questionnaire, learning strategies and principals' leadership. The findings from the path analysis show that the learning strategy variable is a significant mediator in the relationship between the independent motivation variable and the dependent variable in the improvement of the principal's technological leadership where the sex factor as a moderator is equally strong. It can be concluded that motivation by the use of learning strategies in the principal's training curriculum that integrates ICT through seesaw virtual classes can improve the technology leadership of SMK headmasters for all genders indirectly. The findings from the path analysis show that the learning strategy variable is a significant mediator in the relationship between the independent motivation variable and the dependent variable in the improvement of the principal's technological leadership where the sex factor as a moderator is equally strong. It can be concluded that motivation by the use of learning strategies in the principal's training curriculum that integrates ICT through seesaw virtual classes can improve the technology leadership of SMK headmasters for all genders indirectly. The findings from the path analysis show that the learning strategy variable is a significant mediator in the relationship between the independent motivation variable and the dependent variable in the improvement of the principal's technological leadership where the sex factor as a moderator is equally strong. It can be concluded that motivation by the use of learning strategies in the principal's training curriculum that integrates ICT through seesaw virtual classes can improve the technology leadership of SMK headmasters for all genders indirectly.</p><p> </p><p>Keywords: Motivation, learning strategies, technology leadership, mediators,</p><p> moderator</p><p align="center"> </p>
IDENTIFIKASI MINIMNYA PARTISIPASI SISWA DALAM PEMBELAJARAN TIK PADA KELAS X SMA NEGERI 2 ENDE
Authors: Umarba Ibrahim 
Published: November 2021

<p dir="ltr"><span>Proses belajar mengajar yang ideal yakni dimana ada keterlibatan atau partisipasi siswa dalam mengikuti proses belajar mengajar di sekolah, guna untuk meningkatkan aspek kognitif, afektif dan psikomotor. </span>Hubungan dengan masalah yang ingin dipecakan dalam kajian ini adalah bagaimanakah minimnya partisipasi siswa dalam pembelajaran TIK, dan tujuan dari kajian ini adalah meningkatkan peran guru TIK dalam mengatasi minimnya partisipasi siswa dalam pembelajaran TIK, dan ingin mengetahui apa hambatan minimnya partisipasi siswa dalam pembelajaran TIK pada kelas X SMA Negeri 2 Ende. Dalam pelaksanaan proses belajar mengajar, terdapat hambatan yang menjadi faktor minimnya partisipasi dalam belajar yakni faktor internal ( sifat malas ) dan kurangnya ketersedian sarana prasarana pembelajaran TIK yang memadai.</p><div><span><br /></span></div>
Study of Interactions between Induced and Natural Fracture Effects on Hydraulic Fracture Propagation Using a Discrete Approach
Authors: Zhang Yulong , Han Bei , Zhang Xin , Jia Yun , Zhu Chun 
Published: November 2021

Abstract
The interaction mode of induced fracture and natural fracture plays an important role in prediction of hydraulic fracture propagation. In this paper, a two-dimensional hydromechanical coupled discrete element model is first introduced in the framework of particle flow simulation, which can well take into account mechanical and hydraulic properties of rock samples with natural fracture. The model’s parameters are strictly calibrated by conducting numerical simulations of uniaxial compression test and direct tensile and shear tests, as well as fluid flow test. The effectiveness of coupled model is also assessed by describing hydraulic fracture propagation in two representative cases, respectively, rock samples with and without preexisting fracture. With this model in hand, the effects of interaction between induced and natural fractures with different approach angles and differential stresses on fluid injection pressure and fracture propagation patterns are investigated and discussed. Results suggest that the interaction modes mainly involve three basic behaviors including the arrested, captured with offset, and directly crossing. For a given differential stress, the captured offset of hydraulic fracture by natural fracture gradually decreases with the approach angle increase, while for a fixed approach angle, that captured offset increases with differential stress decrease.
Geochemical Modeling of Hybrid Surfactant and Engineered Water Injections in Carbonate Reservoirs under Harsh Conditions
Authors: Adila Ahmed , W. Al-Shalabi Emad , AlAmeri Waleed 
Published: November 2021

Abstract
Engineered water injection (EWI) has gained popularity as an effective technique for enhancing oil recovery. Surfactant flooding is also a well-established and commercially-available technique in the petroleum industry. In this study, a numerical simulation model is developed and used to investigate the hybrid effect of surfactant-EWI in carbonates. This developed model was validated by history-matching a recently conducted surfactant coreflood in the secondary mode of injection. Oil recovery, pressure drop, and surfactant concentration data were utilized. The surfactant flooding model was then coupled with a geochemical model that captures different reactions during engineered water injection. The geochemical reactions considered include: aqueous, dissolution/precipitation, and ion- exchange reactions. Also, different simulation scenarios were considered including waterflooding, surfactant flooding, engineered water injection, and the hybrid surfactant-EWI technique.
For the case of EWI, wettability alteration was considered as the main mechanism underlying incremental oil recovery. However, both wettability alteration and interfacial tension reduction mechanisms were considered for surfactant flooding depending on the type of surfactant used. The results showed that for the hybrid surfactant-EWI, wettability alteration is considered as the controlling mechanism where surfactant boosts oil recovery rate through increasing oil relative permeability while EWI reduces residual oil. Moreover, the simulation runs showed that the hybrid surfactant-EWI is a promising technique for enhancing oil recovery from carbonates under harsh conditions. The hybrid surfactant-EWI outperformed other injection techniques followed by EWI, then surfactant flooding, and least waterflooding. This work gives more insight into the application of hybrid surfactant-EWI on enhancing oil recovery from carbonates.
The Liquidity Spillover Effects Between the Stock Index Futures and Spot Under the Fractal Market Hypothesis
Authors: Zhang Jingyang , Wu Xu , Yan Ruzhen , Chun Zhengjie 
Published: December 2021

Abstract
In recent years, the extreme risk events occurred frequently in the financial market have not only brought huge losses to investors and inflicted heavy losses on the market, but also posed a severe challenge for the traditional effective market hypothesis. These extreme risk events are often accompanied by sudden plummeting of liquidity. Different from the efficient market hypothesis(EMT), firstly, this paper studies the nonlinear fluctuation characteristics and causes of contracts with different maturity periods in China stock index futures market under the framework of fractal market theory and using the multifractal detrended fluctuation model Secondly, under the framework of the fractal market theory, the existence of the liquidity spillover effect between the stock index futures and spot is tested, the direction, intensity, and contribution of spillover between stock index futures and spot are analyzed. Finally, there is a robustness test. The study finds that both stock index futures and stock index spot in China have obvious nonlinear fractal fluctuation characteristics, and stock index futures have higher degree of multifractal, the characteristics are related to correlated multifractal and distributed multifractal; the longer the maturity period of the stock index futures contract, the lower the multifractal degree; there are significant asymmetric liquidity spillover effects between the stock index futures and spot; the multifractal degree has an important influence on the intensity and contribution of the liquidity spillover effect, and the multifractal degree is inversely proportional to the intensity of liquidity spillover and the contribution of spot to futures fluctuations.
Biological Mechanism-based Neurology and Psychiatry: A BACE1/2 and
Downstream Pathway Model
Authors: Hampel Harald , Lista Simone , Caruso Giuseppe , Nisticò Robert , Piccioni Gaia , Mercuri Nicola B. , Giorgi Filippo Sean , Ferrarelli Fabio , Lemercier Pablo , Caraci Filippo , Vergallo Andrea , Neurodegeneration Precision Medicine Initiative  
Published: December 2021

:
In oncology, comprehensive omics and functional enrichment studies have led to an extensive
profiling of (epi)genetic and neurobiological alterations that can be mapped onto a single
tumor’s clinical phenotype and divergent clinical phenotypes expressing common pathophysiological
pathways. Consequently, molecular pathway-based therapeutic interventions for different cancer
typologies, namely tumor type- and site-agnostic treatments, have been developed, encouraging the
real-world implementation of a paradigm shift in medicine.
Given the breakthrough nature of the new-generation translational research and drug development in
oncology, there is an increasing rationale to transfertilize this blueprint to other medical fields, including
psychiatry and neurology. In order to illustrate the emerging paradigm shift in neuroscience,
we provide a state-of-the-art review of translational studies on the β-site amyloid precursor protein
cleaving enzyme (BACE) and its most studied downstream effector, neuregulin, which are molecular
orchestrators of distinct biological pathways involved in several neurological and psychiatric
diseases. This body of data aligns with the evidence of a shared genetic/biological architecture
among Alzheimer’s disease, schizoaffective disorder, and autism spectrum disorders.
To facilitate a forward-looking discussion about a potential first step towards the adoption of biological
pathway-based, clinical symptom-agnostic, categorization models in clinical neurology and
psychiatry for precision medicine solutions, we engage in a speculative intellectual exercise gravitating
around BACE-related science, which is used as a paradigmatic case here.
We draw a perspective whereby pathway-based therapeutic strategies could be catalyzed by highthroughput
techniques embedded in systems-scaled biology, neuroscience, and pharmacology approaches
that will help overcome the constraints of traditional descriptive clinical symptom and
syndrome-focused constructs in neurology and psychiatry.
Reasons for the scientific tours of Andalusians scientists to the Islamic East in the (7th and 8th A.H/13th and 14th AD)
Authors: Anwer Kaiwan Azad , Ahmad Kamaran Abbas 
Published: November 2021

The relationship between the different parts of Islamic society in the middle ages had been in many various forms and in different ways, one of the strongest ways of building relationships in that era was cultural relations, which were given a great importance among Muslims, and were critical reasons for creating social, scientific and knowledge mixing, so scientific tour was the most common way of creating relationships in that era, not only among students but among all scholars and Muslims and they took a great care to do such tours, That's why by Muslim historians and biographers , great attention has been focused on the lives of scientists and the ways of getting science in that historic era.
We, as a researcher, have also focused on a specific historical period on the reasons of scientific tours between the two designated regions of the Islamic world in the (7th and 8th A.H/13th and 14th AD) centuries, which was done by scholars from Andalusia to the East of Islamic. In the contexts of this research, we have mentioned the reasons and motivators of scientific, who have mad these Andalusian tours to the most famous scientific centers of the Islamic world in that era.
An Information Directory App InHouse Call for Streamlining Communication to Optimize Efficiency and Patient Care in a Hospital: Pilot Mixed Methods Design and Utility Study
Authors: Schilling George , Villarosa Leonardo 
Published: November 2021

Background
Communication failures disrupt physician workflow, lead to poor patient outcomes, and are associated with significant economic burden. To increase efficiency when contacting a team member in a hospital, we have designed an information directory app, InHouse Call.

Objective
This study aimed to describe the design of InHouse Call, objectively compare the usefulness of the app versus that of traditional methods (operator or pocket cards, etc), and determine its subjective usefulness through user surveys and a net promoter score (NPS).

Methods
This pilot study utilizing before-after trials was carried out at a tertiary academic hospital and involved 20 clinicians, including physiatrists, hospitalists, internal medicine and family medicine residents, and advanced practice providers/nurse practitioners/physician assistants. InHouse Call was designed to efficiently supply contact information to providers through a simple, user-friendly interface. The participants used InHouse Call in timed trials to contact a health care team member in the hospital via a telephone call. The effectiveness of InHouse Call in connecting the user with a contact in the hospital was measured through timed trials comparing the amount of time spent in attempting to make the connection using traditional methods versus the app. Usability was measured through exit surveys and NPS.

Results
The average time spent connecting to the correct contact using traditional methods was 59.5 seconds, compared to 13.8 seconds when using InHouse Call. The degree of variance when using traditional methods was 1544.2, compared to 19.7 with InHouse Call. A call made using the traditional methods deviated from the mean by 39.3 seconds, compared to 4.4 seconds when using InHouse Call. InHouse Call achieved an NPS of 95.

Conclusions
InHouse Call significantly reduced the average amount of time spent connecting with the correct contact as well as the variability to complete the task, thus proving to be the superior method of communication for health care providers. The app garnered a high NPS and positive subjective feedback.
Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study
Authors: Óskarsdóttir María , Islind Anna Sigridur , August Elias , Arnardóttir Erna Sif , Patou François , Maier Anja M 
Published: November 2021

Background
The gold standard measurement for recording sleep is polysomnography performed in a hospital environment for 1 night. This requires individuals to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. Self-trackers, such as wearable sensors (eg, smartwatch) and nearable sensors (eg, sleep mattress), can measure a broad range of physiological parameters related to free-living sleep conditions; however, the optimal duration of such a self-tracker measurement is not known. For such free-living sleep studies with actigraphy, 3 to 14 days of data collection are typically used.

Objective
The primary goal of this study is to investigate if 3 to 14 days of sleep data collection is sufficient while using self-trackers. The secondary goal is to investigate whether there is a relationship among sleep quality, physical activity, and heart rate. Specifically, we study whether individuals who exhibit similar activity can be clustered together and to what extent the sleep patterns of individuals in relation to seasonality vary.

Methods
Data on sleep, physical activity, and heart rate were collected over 6 months from 54 individuals aged 52 to 86 years. The Withings Aura sleep mattress (nearable; Withings Inc) and Withings Steel HR smartwatch (wearable; Withings Inc) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. We used exploratory data analysis and unsupervised machine learning at both the cohort and individual levels.

Results
Significant variability in standard metrics of sleep quality was found between different periods throughout the study. We showed specifically that to obtain more robust individual assessments of sleep and physical activity patterns through self-trackers, an evaluation period of >3 to 14 days is necessary. In addition, we found seasonal patterns in sleep data related to the changing of the clock for daylight saving time.

Conclusions
We demonstrate that >2 months’ worth of self-tracking data are needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3 to 14 days for sleep quality assessment and call for the rethinking of standards when collecting data for research purposes. Seasonal patterns and daylight saving time clock change are also important aspects that need to be taken into consideration when choosing a period for collecting data and designing studies on sleep. Furthermore, we suggest using self-trackers (wearable and nearable ones) to support longer-term evaluations of sleep and physical activity for research purposes and, possibly, clinical purposes in the future.