bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimación de la producción mexicana de cannabis en áreas incautadas, clasificación arancelaria y potencial de exportación
Authors: Lagunas Puls Sergio , Boggio Vázquez Juan 
Published: January 2023

El objetivo es estimar la producción mexicana de cannabis en hierba e identificar los códigos arancelarios que necesitarían habilitarse para permitir a México su comercio internacional. En noviembre del 2021, seis de las ocho fracciones arancelarias con posibilidad para clasificar el cannabis se encontraban prohibidas. Por lo tanto, las recientes reformas para fines lúdicos, comercialización e investigación son insuficientes para potenciar el comercio internacional del cannabis. El presente artículo presenta el detalle para estimar la producción mexicana de cannabis y el potencial de exportación para cada código arancelario. Los resultados indican que, de producirse legalmente en las extensiones de cultivo incautadas, se podrían comercializar hasta 3.145 toneladas anuales, lo que representaría aproximadamente el 7% de participación esperada al año 2025 en el mercado mundial del cannabis legal.
How Does CEO’s Human Capital Influence Innovation Strategy of Russian Banks?
Authors: Fedorova Anastasia 
Published: January 2023

The paper evaluates influence of human capital of top management on innovation strategy on the basis of study of innovation activity of Russian commercial banks in the period of 2017–2019. We have compiled a rating of commercial banks for retail segment innovations, selected the four least innovative banks. We have studied the key indicators of human capitalof top management in eight chosen banks. The paper has revealed the interrelation between different elements of human capital of top management and innovation strategies of Russian commercial banks. We have defined personal traits which portray a manager who exerts influence on innovations in a company.
The paper is intended for investors in emerging markets which try to understand the evaluation mechanisms of impact of the financial companies’ current management on their future development path, for analysts engaged in forecasting trends related to optimization and automation in retail banking and assessment of corporate innovative capacity.
The views of lecturers about flipped classroom model
Authors: Demiralay Raziye , Akdenizli Ibrahim 
Published: January 2023

The aim of this study is determining views of lecturers about Flipped Classroom Model. Qualitative research techniques used to identify individuals view about a subject. Therefore, this study was carried out as a phenomenological approach. The participants included 11 lecturers in Alanya Alaaddin Keykubat University in Turkey. All of them observed Flipped lessons in classes. The data were collected the semi-structured interviews around persuasion stage and had been analyzed inductively through descriptive analysis and content analysis. Based on the results it has been determined that, according to lecturersâ€™ views, Flipped Classroom Model facilitates teaching; improves learning by supplying flexible learning environment, doesnâ€™t have complexity, is applicable for all kind of lectures except practical ones. Besides, the lecturers want to use this model in lessons. Consequently, this modelâ€™ observability is the most important feature. It can be stated that the usage of this model by the lecturers should be increased. Keywords: Flipped classroom, inverted classroom, lecturers, qualitative research, turkey.
The analysis of visually impaired individualsâ€™ expectations and tendencies of using digital media in the process of education in Turkey
Authors: Yurtay Nilufer , Budak Esra Coban , Gecer Aynur Kolburan , Yurtay Yuksel , Budak Yusuf 
Published: January 2023

Together with the development of technology, we know that our lives have changed in many ways. One of the most affected and the changing process is education. In the education process, it is important to make sure that all members of society benefit from it. We also know that visually impaired individuals are an important part of our society. In Turkey, the use of virtual platforms in terms of education by this segment and improving themselves is considered important. The evaluation of the tendency of visually impaired individuals to use virtual environments is specially required for developing software applications the identification of these tendencies, evaluation and use in virtual applications is a remarkable work. Therefore, it is important to identify the difficulties and expectations that may occur while accessing information with virtual platforms. In this research, first visually-impaired individualsâ€™ tendencies to use technology was identified and later, the expectations and difficulties they face while using electronics and computer-supported platforms have been analyzed. Data was gathered through survey model in this research. During data collection phase, resulting from the tendency of impaired individuals to hide themselves. Snowball sampling method with 41 participants was applied through face to face and online query. The findings were analyzed with the Statistical analysis method and presented in the form of a table.
Keywords: Education, visually impaired people, e-learning.
Karakteristik Verba pada Laki-Laki dan Perempuan dalam Kolom Komentar YouTube Narasi Newsroom
Authors: Melinda Dika , Putra Dona Aji Karunia 
Published: January 2023

Penelitian ini bertujuan untuk mendeskripsikan bentuk verba pada laki-laki dan perempuan secara gramatikal dan dari sisi sosial; mendeskripsikan tipe semantik verba pada laki-laki dan perempuan secara gramatikal dan dari sisi sosial dalam kolom komentar Youtube Narasi Newsroom. Metode penelitian yang diaplikasikan dalam penelitian ini adalah metode deskriptif kualitatif. Data dalam penelitian ini berupa penggunaan verba yang digunakan oleh laki-laki dan perempuan dalam kolom komentar youtube Narasi Newsroom.Teknik pengumpulan data yang diterapkan terdiri dari teknik dokumentasi, teknik simak dan catat. Data dianalisis menggunakan teori verba dan teori bahasa dan gender. Hasil penelitian menunjukkan bahwa terdapat 205 bentuk verba yang digunakan oleh laki-laki, 238 bentuk verba yang digunakan oleh perempuan, 114 tipe semantik verba yang digunakan oleh laki-laki, dan 135 tipe semantik verba yang digunakan oleh perempuan. Karakteristik bentuk verba berdasarkan sisi sosial antara bahasa laki-laki dan perempuan dapat dilihat dari segi diksi dan morfologi berupa afiksasi. Berdasarkan aspek makna, perempuan menggunakan bahasa simbolik sedangkan laki-laki menggunakan bahasa langsung pada poin permasalahan. Perempuan berinteraksi dengan cara meningkatkan solidaritas sedangkan laki-laki dengan cara mempertahankan kekuatan dan status. Topik pembicaraan perempuan berfokus pada fungsi afektif, sedangkan laki-laki pada kompetensi.
Motivasi Belajar Siswa dalam Berliterasi di SD Negeri Kebonsari Kulon 6 Kota Probolinggo
Authors: Susilowati Yuni , Prihatini Arti 
Published: January 2023

Motivasi belajar siswa dapat dikaitkan dengan kemampuan informasi pada pembelajaran Bahasa Indonesia. Fokus penelitian ini pada tiga hal, yaitu (1) hasil motivasi belajar siswa dalam berliterasi; (2) AKM (Asesmen Kompetensi Minimum) literasi; (3) korelasi antara motivasi belajar dengan AKM literasi siswa di SD Negeri Kebonsari Kulon 6 Kota Probolinggo. Penelitian kuantitatif dengan analisis statistika deskriptif digunakan sebagai metode penelitian siswa kelas V yang mengikuti uji AKM oleh program Kampus Mengajar Angkatan 3. Angket dan tes dimanfaatkan guna teknik pengumpulan data. Dalam menganalisis hasil dikuatkan dengan teori motivasi belajar oleh Duncan dan Mckeachie yang memiliki enam aspek dalam mengukur motivasi belajar meliputi kecemasan, kepercayaan diri, kontrol kepercayaan, nilai tugas, tujuan orientasi ekstrinsik, serta tujuan orientasi intrinsik. Hasil penelitian ini mengungkapkan bahwa motivasi belajar dan AKM literasi siswa sangat tinggi akan tetapi nilai korelasi antara keduanya masih sangat lemah. Hal tersebut dapat ditinjau dari beberapa faktor yakni meliputi pemahaman siswa dalam soal AKM Literasi dan penyusunan strategi pembelajaran yang memiliki kualitas tinggi serta efektif.
The Efl Teachers’ Challenges in Teaching Speaking Online: A Case Study
Authors: Marzulina Lenny , Erlina Dian , Herizal Herizal , Margaretta Lily Kurnia 
Published: January 2023

This article presents English teacher's challenges in teaching speaking online at one Madrasah Tsanawiyah (MTs) in Palembang, South Sumatera, Indonesia. A qualitative case study was employed in conducting this research. Data were collected by using semi-structured interview with the English teacher through a set of open-ended questions. Thematic analysis was used to identify, analyze, and describe the obtained data in the process of selecting codes and constructing themes. The results revealed that the teacher faced some main challenges in teaching speaking online, as follows: (a) lack of students’ confidence in speaking English, (b) internet connection issues, (c) lack of students’ learning interactions and participations, (d) difficulty in designing/developing speaking materials for online class, (e) difficulty in managing the time, and (f) unreliable online teaching and learning devices. These challenges should be considered and anticipated by the teachers and other pertinent parties to get the alternatives for solutions.
Salidas escolares, geolocalización y realidad aumentada en Educación Superior. Una revisión sistemática de la literatura
Authors: Boulahrouz Meriam 
Published: January 2023

Con el auge del aprendizaje móvil, uno de los principales retos de la Educación superior consiste en la formación de una ciudadanía crítica y activa, capaz de participar en el entorno. De esta manera, y gracias a la incorporación de nuevas herramientas basadas en la geolocalización y la realidad aumentada geolocalizada, es posible el desarrollo de actividades de enseñanza-aprendizaje en cualquier contexto y en cualquier lugar. En este trabajo, se presenta una revisión sistemática de la literatura para recoger los principales hallazgos sobre el uso de las aplicaciones de geolocalización y realidad aumentada geolocalizada durante las salidas escolares en Educación Superior. La búsqueda se ha realizado a partir de las publicaciones incluidas en las base de datos “Web of Science” y “Scopus” durante el período 2010-2021. Al aplicar los criterios de selección y calidad, se han identificado un total de 15 estudios como muestra final. Los resultados obtenidos demuestran un interés creciente por el desarrollo de nuevas aplicaciones de geolocalización y realidad aumentada geolocalizada adaptadas al ámbito educativo de las Ciencias sociales. Entre las potencialidades de la geolocalización para el desarrollo de salidas escolares, podemos mencionar el aumento de la motivación, el interés y la participación del alumnado en el proceso de enseñanza-aprendizaje, así como el desarrollo de las competencias espaciales.
The Statistical Analysis Plan for the Unification of Treatments and Interventions for Tinnitus Patients Randomized Clinical Trial (UNITI-RCT)
Authors: Simoes Jorge , Schoisswohl Stefan , Schlee Winfried , Basso Laura , Bernal-Robledano Alberto , Boecking Benjamin , Cima Rilana , Denys Sam , Engelke Milena , Escalera-Balsera Alba , Gallego-Martinez Alvaro , Gallus Silvano , Kikidis Dimitris , Escámez Jose Antonio López , Marcrum Steven C. , Markatos Nikolaos , Martin-Lagos Juan , Martinez-Martinez Marta , Mazurek Birgit , Vassou Evgenia , Jarach Carlotta Micaela , Mueller-Locatelli Nicolas , Neff Patrick , Niemann Uli , Omar Hafez Kader , Puga Clara , Schleicher Miro , Unnikrishnan Vishnu , Perez-Carpena Patricia , Pryss Rüdiger , Robles-Bolivar Paula , Rose Matthias , Schecklmann Martin , Schiele Tabea , Schobel Johannes , Spiliopoulou Myra , Stark Sabine , Vogel Carsten , Wunder Nina , Zachou Zoi , Langguth Berthold 
Published: January 2023

Abstract
Background
Tinnitus is a leading cause of disease burden globally. Several therapeutic strategies are recommended in guidelines for the reduction of tinnitus distress; however, little is known about the potential increased effectiveness of a combination of treatments and personalized treatments for each tinnitus patient.
Methods
Within the Unification of Treatments and Interventions for Tinnitus Patients project, a multicenter, randomized clinical trial is conducted with the aim to compare the effectiveness of single treatments and combined treatments on tinnitus distress (UNITI-RCT). Five different tinnitus centers across Europe aim to treat chronic tinnitus patients with either cognitive behavior therapy, sound therapy, structured counseling, or hearing aids alone, or with a combination of two of these treatments, resulting in 4 treatment arms with single treatment and 6 treatment arms with combinational treatment. This statistical analysis plan describes the statistical methods to be deployed in the UNITI-RCT.
Discussion
The UNITI-RCT trial will provide important evidence about whether a combination of treatments is superior to a single treatment alone in the management of chronic tinnitus patients. This pre-specified statistical analysis plan details the methodology for the analysis of the UNITI trial results.
Trial registration
ClinicalTrials.gov NCT04663828 (https://clinicaltrials.gov/ct2/show/NCT04663828). The trial is ongoing. Date of registration: December 11, 2020. The main RCT analyses will start by the end of December 2022 and will include data from patients who have finished their treatment by the 19th of December 2022.
Malaria is the Leading Cause of Acute Kidney Injury Among Children Undergoing Dialysis in Lusaka, Zambia: a Retrospective Study
Authors: Mwaba Chisambo , Munsaka Sody , Bvulani Bruce , Chiluba Brian Chanda , Fitzwanga Kaiser , Mpabalwani Evans 
Published: January 2023

Abstract
Background: Recent studies have shown a shift in the traditional aetiologies commonly associated with tropical acute kidney injury (AKI) in some parts of Africa. In many low-income regions limited access to dialysis increases the risk of AKI-associated adverse outcomes. The goal of this study was to evaluate the aetiology, predictors of the need for dialysis, and outcomes of AKI among children evaluated by the renal service in Lusaka, Zambia.
Methods: This retrospective study included children less than 16 years old, who were diagnosed with AKI between 2016 and 2021 and followed up by the renal service at the University Teaching Hospitals- Children’s hospital (UTH-CH). AKI was defined and staged using the KDIGO 2012 criteria. Data were extracted from patient folders using a pre-designed tool and then analysed using SPSS version 25. Categorical data were expressed as simple proportions while continuous variables were expressed as either means or median after determination of normality. Correlations were determined using the chi-square test, otherwise Fischer’s exact test in the case of categorical variables, and the independent t-test for continuous variables. The significance level was set at a p-value < 0.05. The predictors of need for dialysis, poor patient outcome, and malaria-associated AKI (MAKI) were identified by using binary logistic regression.
Results: The 126 (37.7%) children diagnosed with AKI had a median age of 7.5 (interquartile range 0.3-16) yearsand a male-to-female ratio of 1.4. Of these, a total of 94(74.6%) underwent dialysis with 65(82.1%) receiving peritoneal dialysis (PD), 8(8.5%) receiving haemodialysis (HD), and 4(4.3%) undergoing both modalities. Predictors of need for dialysis were oliguria (OR 10.4, p= 0.002) and anuria (OR 8.7, p, 0.006) while the leading aetiologies of AKI were malaria (77, 60%) and glomerular disease (21, 16.6%). Twenty-three (18.3 %) children developed chronic kidney disease (CKD), 7(5.6 %) died and a year later 97 (77%) were lost to follow-up.
Conclusion: Malaria is the leading cause of AKI and children from areas of medium malaria transmission intensity are at increased risk. Three-quarters of children in the cohort required dialysis. CKD and mortality rates may be underestimated due to the high loss to follow- up rate.
Adherence to pulmonary rehabilitation during a 12-month period in Dutch and Flemish patients with prolonged COPD treatment; a prospective cohort study
Authors: Ricke Ellen , Dijkstra Arie , Bakker Eric 
Published: January 2023

Abstract
Background: Chronic diseases lead to both financial and organisational burdens on the health system. One of the possible solutions to keep health care affordable is self-management. However, non-adherence is a recognised problem with regard to self-management, especially in long-term treatment. Once it is clear who is or is not adherent, care can potentially be tailored accordingly. To predict adherence over time, it may be useful to have an understanding of how this variable might change over time: It is unclear whether adherence is a constant, or rather increases or decreases or fluctuates. The aim of this study is to determine the course of exercise adherence over a 12-month period in patients with chronic obstructive pulmonary disease (COPD) receiving prolonged rehabilitation.
Methods: In this prospective cohort study participated 196 patients with COPD, who were undertaking
pulmonary rehabilitation (PR), for at least one month, in 53 primary physiotherapy practices in The Netherlands and Belgium between January 2021 and August 2022. Outcomes were measured at baseline, and at 3, 6 and 12 months. The primary outcome was exercise adherence, and secondary outcomes were exercise capacity and health related quality of life. Multilevel regression analysis with adherence at the first level and patients at the second level were used for analyses of the data.
Results: There was no significant change in exercise adherence over time (p = 0.89). Also, exercise capacity (p = 0.59) and health related quality of life (p= 0.24) remained stable.
Conclusions: Adherence is constant over a period of 12 months in patients with COPD receiving prolonged pulmonary rehabilitation in a primary physiotherapy practice in The Netherlands and Belgium. Also, measured health outcomes remained constant in this same period. Possibly, this will allow for better tailored care over 12 months and lower health care costs.
The complicated dynamical behaviours of a geometrical oscillator with a mass parameter
Authors: Huang Xinyi , Cao Qingjie 
Published: January 2023

Abstract
In this paper, we consider a special kind of geometrical nonlinear oscillator with a mass parameter admitting two different dynamical states leading to a double-valued potential energy. A cylindrical manifold is introduced to formulate the equation of motion to describe the distinguished dynamical behaviours. With the help of Hamiltonian, the complex bifurcations are demonstrated with the varying of parameters including periodic solutions, the steady states and the blowing up phenomenon near θ = ± π/2 to infinity. A toroidal manifold is introduced to map the infinities into (0, ±2, 0) on the torus exhibiting saddle-node-like behaviour, where the uniqueness of solution is failed, for which a special ‘collision’ parameter is introduced to define the possible motion leaving from the infinities. A numerical method which is proposed to get solution near the infinity where Runge-Kutta method fails, is employed to get the bifurcation diagrams using Poincaré sections for the perturbed system to exhibit the complex dynamics including the co-existence of periodic solutions, the chaos from the coexisted periodic doubling and also the instant chaos from the coexisted periodic solutions. The results demonstrated herein this paper provide a brand new insight into the understanding of enriched nonlinear dynamics and an essential explanation about ‘collision’ of mechanical system with both the geometrical and mass parameters.
Real Time Facial Emotion Recognition model Based on kernel Autoencoder and Convolutional Neural Network for Autism Childrens
Authors: Talaat Fatma M. , Ali Zainab H. , Mostafa Reham R. , El-Rashidy Nora 
Published: January 2023

Abstract
Autism spectrum disorder (ASD) is a developmental disability brought on by abnormalities in the brain. Patients with ASD usually struggle with social contact and communication. They may also have a problem with the traditional ways of learning and paying attention. Diagnosis of autism considers a challenging task for medical experts since the medical diagnosis mainly depends on the abnormalities in the brain functions that may not appear in the early stages of early onset of autism disorder. Facial expression can be an alternative and efficient solution for the early diagnosis of Autism. This is due to Autistic children usually having distinctive patterns which facilitate distinguishing them from normal children Assistive technology has proven to be one of the most important innovations in helping autistic improve their quality of life. A real-time emotion identification system for autistic youngsters was developed in this study to detect their emotions to help them in case of pain or anger. Face identification, facial feature extraction, and feature categorization are the three stages of emotion recognition. A total of six facial emotions are detected by the propound system: anger, fear, joy, natural, sadness, and surprise. This research presents a deep convolutional neural network (DCNN) architecture for facial expression recognition to help medical experts as well as families in detecting the emotions of autistic children. To enhance the algorithm performance to classify the input image efficiently, the proposed algorithm contains an autoencoder for feature extraction and feature selection. Due to the size of the used dataset, a pre-trained model( ResNet, MobileNet, and Xception) is used. The xception model achieved the highest performance (ACC = 0.9523%, sn = 0.932, R = 0.9421, and AUC = 0.9134%). The proposed emotion detection framework takes the benefit of using fog and IoT to reduce the latency for real-time detection with fast response and to be a location awareness. As well as using fog is useful while dealing with big data.
Pyroclastic density currents explain far-reaching and diverse seafloor impacts of the 2022 Hunga Tonga Hunga Ha’apai eruption
Authors: Seabrook Sarah , Mackay Kevin , Watson Sally , Clare Michael , Hunt James , Yeo Isobel , Lane Emily , Clark Malcolm , Wysoczanski Richard , Rowden Ashley , Hoffmann Linn , Armstrong Evelyn , Williams Michael 
Published: January 2023

Abstract
The impacts of large terrestrial volcanic eruptions are apparent from satellite monitoring and direct observations1,2. However, more than three quarters of all volcanoes worldwide lie submerged beneath the ocean and the risks they pose to people and infrastructure remain poorly understood due to inaccessibility and a lack of detailed observations before and after eruptions3. Here, comparing data acquired in 2015-20174,5 and three months after the January 2022 eruption of Hunga Tonga Hunga Ha’apai, we document the wide-reaching and diverse impacts of the largest seaborne volcanic eruption in nearly 150 years6. Almost 10 km3 of seafloor material was removed during the eruption, most of which was redeposited within 20 km of the caldera by long run-out pyroclastic currents. These powerful currents damaged seafloor cables over a length of >100 km, reshaped the seafloor, and caused mass-mortality of seafloor life. Biological seafloor communities that survived the eruption were only observed where local topography provided a physical barrier to pyroclastic currents (e.g., on nearby seamounts). While the longer-term consequences of such a large eruption for human, ecological and climatic systems are emerging, we expect that these previously-undocumented refugia will play a key role in longer-term ecosystem recovery7–9.