bluuebunny/crossref_metadata_2025_split huggingface dataset:
Attribution of changes in the water balance of a basin to land-use changes through combined modelling of basin hydrology and land-use dynamics
Authors: Gunacti Mert Can , Kandemir Fulya Aydin , Najar Mohamed , Kuzucu Aysegul , Uyar Meltem , Barbaros Filiz , Boyacioglu Hulya , Gul Gulay Onusluel , Gul Ali 
Published: November 2022

Abstract
Land use and land cover change (LULCC) is considered one of the major drivers of climate change, although climate change can also foster direct or indirect influences leading to LULCC. The objective of the presented study is to offer a strategic observation frame as the land use and land cover (LULC) transitions are grouped to define the cover flows (CFs). The Küçük Menderes River Basin (KMRB), which is located in the west of Turkey was examined as the case study. Through LULCC modelling via the employment of multi-layer perceptron (MLP), cellular automata (CA), and Markov Chain methods, future LULC maps were projected up to the horizon of 2050. Hydrologic responses of the basin to LULCC were determined by the developed hydrologic model, which is generated by the Soil and Water Assessment Tool (SWAT). The superimposed impacts of the examined effects of LULCC have been investigated by the CF types. This way, the individual impacts of the CFs have been assessed. In the case of the KMRB, projected annual runoffs for the year 2050 cover map represent a 9.06% reduction and the major responsible CF type for this reduction is the conversion from forest to non-irrigated agricultural land cover by 22.90%.
Support vector machine (SVM) approach to develop the discharge prediction model for triangular labyrinth weir
Authors: Mustafa Mohammad Danish , Mansoor Talib , Muzzammil Mohammad 
Published: November 2022

Abstract
Most of the studies on labyrinth weir were carried out in the laboratory, and regression models have been developed for discharge coefficient in terms of pertinent independent parameters. It is difficult to obtain an exact analytical solution to the head discharge relationship due to the existence of 3D flow. Consequently, various forms of soft computing techniques are used as an appropriate alternative to achieve greater accuracy in developing a discharge prediction model. In the present study, support vector regression (SVR) has, therefore, been implemented to develop a discharge coefficient prediction model for a triangular labyrinth (TL) weir using a sizeable amount of laboratory data available in the literature. An attempt has also been made to obtain a simple discharge coefficient equation using the same data based on the non-linear regression (NLR) approach for field application. A comparative study has been carried out to assess the accuracy of the discharge coefficient models obtained in the present study and those reported in the literature. Sensitivity analysis has been made to study the influence of individual parameters on the discharge coefficient. The accuracy of different discharge coefficient prediction models was also tested for the data of prototype labyrinth weir and appropriate models were recommended for the field application.
Enhanced electrochemical precipitation of phosphorus in wastewater by the addition of drifting Corbicula shells
Authors: Takabe Yugo , Uchida Rika , Yoneda Arisa 
Published: November 2022

Abstract
Phosphorus (P) is a finite and essential resource, and its linear movement from mines to waste streams may result in shortages. This has encouraged efforts to recover P from sewage systems for reuse. This study developed a new electrochemical P precipitation system for the subnatant of the sludge flotation thickening process, in which drifting Corbicula shells are added to provide a supply of calcium ions (Ca2+) to promote P precipitation. However, adding Corbicula shells to coexisting suspended solids (SS) and coagulant resulted in adsorption of the shells in the neutralized and hydrophobized floc clusters, which limited their electrochemical dissolution. Adding Corbicula shells after SS removal by flotation with electrochemically generated gases resulted in their successful electrochemical dissolution, which enhanced phosphate-P removal. Increasing the amount of Corbicula shells enhanced the phosphate-P removal to a point, after which further addition simply increased Ca2+. The consumption of H+ generated near the anode for the dissolution of Corbicula shells increased the pH of the bulk solution, which enabled P precipitation not only onto the cathode but also in the bulk solution. Analysis of chemical composition in the generated particles suggests that they can be used as a slow P-release fertilizer and soil conditioner.
The Association between External Training Load, Perceived Exertion and Total Quality Recovery in Sub-Elite Youth Football
Authors: Teixeira José E. , Forte Pedro , Ferraz Ricardo , Leal Miguel , Ribeiro Joana , Silva António J. , Barbosa Tiago M. , Monteiro António M. 
Published: November 2022

Background:
Moderate to very large correlation between internal training load, external training load, and recovery status have been reported in elite youth football. However, little is known about subelite youth football training environments.

Objective:
The purpose of this study was to assess the association between training load and recovery status in young subelite football players.

Methods:
Twenty under-15, twenty under-17, and twenty under-19 players were monitored over a 6-week period during the first month of the 2019-2020 competitive season. The global positioning system technology (GPS) was used to collect external training load variables. The internal training load variables were monitored using the rating of perceived exertion (RPE) scale and session RPE (sRPE). The recovery status was assessed by the total quality recovery (TQR). A total of 18 training sessions and 324 observation cases were collected.

Results:
Small to moderate correlation between internal and external load was observed (r = -0.316 to 0.136, p < 0.05). Correlations between recovery status and external load were moderate for U15 (r = -0.326 to -0.240, p < 0.05), U17 (r = -0.316 to 0.136, p < 0.05) and U19 (r = -0.301 to 0.282, p < 0.05). The association between perceived exertion and external training load is only significant for U19 subelite football players.

Conclusion:
Current research suggested that subelite youth football players were more likely to have lower capacity to judge training exertion. Additionally, recovery status was positively correlated with acceleration and deceleration movements. This study provides a new overview about training load and recovery in subelite youth training environment. Future researche should examine the between- and within-individual nonlinearity across training load and recovery variations.
EFEKTIVITAS PEMBELAJARAN INTEGRATED LEARNING DI PROGRAM STUDI PENDIDIKAN SEJARAH PADA MATA KULIAH MUSEOLOGI DAN SEJARAH PARIWISATA 2021/2022
Authors: Yuliantri Rhoma Dwi 
Published: November 2022

Penelitian ini bertujuan untuk mengetahui efektivitas pembelajaran integrated learning yaitu collaborative lecture dengan tipe 4CS. Hal tersebut merupakan salah satu bentuk inovasi dalam pembelajaran yang menekankan pada berbagai keahlian untuk ketercapian dalam tujuan pembelajaran yang lebih optimal dan evektif. Integrated Learning diantaranya dilakukan dengan collaborative lecture dilakukan dengan lintas program studi dan lintas universitas yaitu Prodi Pendidikan Sejarah S1 Fakultas Ilmu Sosial Universitas Negeri Yogyakarta dengan Prodi S1Tata Kelola Seni Fakultas Seni Rupa ISI Yogyakarta di mata kuliah Museologi dan Sejarah Pariwisata dengan penerapan 4Cs (critical thinking, communication, collaboration, and creativity) yang bertujuan agar pembelajaran lebih bermakna dengan keterlibatan aktif peserta didik. Metode kuantitatif dengan Uji T akan digunakan untuk mengukur keberhasilan pembelacaran collaborative teacher dengan tipe demonstrative. Hasil penelitian menunjukkan bahwa mahasiswa sebanyak 56,5% setuju dan 35,5% sangat setuju dengan perkuliahan kolaborasi dosen dari univeritas lain untuk memperdalam pengetahuan. Hasil uji T menunjukan hasil nilai t sebesar 18,001 artinya t hit lebih besar dari t tabel, dan sign asymp 0,05 sehingga dapat disimpulkan terdapat perbedaan antara metode klasik dengan metode integrated learning.
Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach
Authors: Chiu I-Min , Cheng Jhu-Yin , Chen Tien-Yu , Wang Yi-Min , Cheng Chi-Yung , Kung Chia-Te , Cheng Fu-Jen , Yau Fei-Fei Flora , Lin Chun-Hung Richard 
Published: November 2022

Background
Hyperkalemia is a critical condition, especially in intensive care units. So far, there have been no accurate and noninvasive methods for recognizing hyperkalemia events on ambulatory electrocardiogram monitors.

Objective
This study aimed to improve the accuracy of hyperkalemia predictions from ambulatory electrocardiogram (ECG) monitors using a personalized transfer learning method; this would be done by training a generic model and refining it with personal data.

Methods
This retrospective cohort study used open source data from the Waveform Database Matched Subset of the Medical Information Mart From Intensive Care III (MIMIC-III). We included patients with multiple serum potassium test results and matched ECG data from the MIMIC-III database. A 1D convolutional neural network–based deep learning model was first developed to predict hyperkalemia in a generic population. Once the model achieved a state-of-the-art performance, it was used in an active transfer learning process to perform patient-adaptive heartbeat classification tasks.

Results
The results show that by acquiring data from each new patient, the personalized model can improve the accuracy of hyperkalemia detection significantly, from an average of 0.604 (SD 0.211) to 0.980 (SD 0.078), when compared with the generic model. Moreover, the area under the receiver operating characteristic curve level improved from 0.729 (SD 0.240) to 0.945 (SD 0.094).

Conclusions
By using the deep transfer learning method, we were able to build a clinical standard model for hyperkalemia detection using ambulatory ECG monitors. These findings could potentially be extended to applications that continuously monitor one’s ECGs for early alerts of hyperkalemia and help avoid unnecessary blood tests.
Clinic-Integrated Mobile Health Intervention (“JomPrEP” App) to Improve Uptake of HIV Testing and Pre-exposure Prophylaxis Among Men Who Have Sex With Men in Malaysia: Protocol for an Intervention Development and Multiphase Trial
Authors: Shrestha Roman , Wickersham Jeffrey A , Khati Antoine , Azwa Iskandar , Ni Zhao , Kamarulzaman Adeeba , Sullivan Patrick Sean , Jadkarim Luzan , Eger William H , Gautam Kamal , Altice Frederick L 
Published: November 2022

Background
Men who have sex with men (MSM) are disproportionately affected by the HIV epidemic in Malaysia and globally. Cross-cutting prevention strategies such as mobile health (mHealth), particularly smartphone apps, hold great promise for HIV prevention efforts among Malaysian MSM, especially when linked to HIV testing and pre-exposure prophylaxis (PrEP).

Objective
This study aims to adapt an existing app to create and test a clinic-integrated app (JomPrEP), a virtual platform to deliver HIV testing and PrEP services for MSM in Malaysia.

Methods
The JomPrEP project involves developing and testing an app-based platform for HIV prevention among Malaysian MSM and will be conducted in 2 phases. In phase I (development phase), we will adapt an existing mHealth app (HealthMindr) to create a new clinic-integrated app called “JomPrEP” to deliver holistic HIV prevention services (eg, HIV testing, PrEP, support services for mental health and substance use) among MSM in Malaysia. During phase II (testing phase), we will use a type I hybrid implementation science trial design to test the efficacy of JomPrEP while gathering information on implementation factors to guide future scale-up in real-world settings.

Results
As of September 2022, we have completed phase I of the proposed study. Based on a series of formative work completed during phase I, we developed a fully functional, clinic-integrated JomPrEP app, which provides a virtual platform for MSM in Malaysia to facilitate their engagement in HIV prevention in a fast and convenient manner. Based on participant feedback provided during phase I, we are currently optimizing JomPrEP and the research protocols for a large-scale efficacy trial (phase II), which will commence in January 2023.

Conclusions
Scant HIV prevention resources coupled with entrenched stigma, discrimination, and criminalization of same-sex sexual behavior and substance use hamper access to HIV prevention services in Malaysia. If found efficacious, JomPrEP can be easily adapted for a range of health outcomes and health care delivery services for MSM, including adaptation to other low- and middle-income countries.

Trial Registration
ClinicalTrials.gov NCT05325476; https://clinicaltrials.gov/ct2/show/NCT05325476

International Registered Report Identifier (IRRID)
DERR1-10.2196/43318
Comparison of Two DC Motor Speed Observers on Sensorless Speed Control Systems
Authors: Bernadeta Wuri Harini  , Martanto  , Tjendro  
Published: November 2022

In a sensorless motor speed control system, the motor speed is not directly measured using a speed sensor, but it is estimated using an observer. The sensorless speed control systems are mostly applied to AC motors, while they have not been widely applied to DC motors. Therefore, this paper presents simple observers to estimate the DC motor speed. The observers used were based on the DC motor electric equation. Two methods were used in this research. The first method was the observer estimating the speed based on the resistance inductance values (L-R method), while the second was the observer estimating the motor’s speed only based on the motor’s resistance value (R method). The speed was estimated using armature current (ia) and voltage (va). Therefore, a current and voltage sensor was used. Not only was the observer estimated, but it was also implemented on a real DC motor. An Arduino microcontroller was used to calculate the speed. The LN298 was used as a DC motor drive. Even though the R method is simpler, the test result showed that its speed estimation was less precise than the L-R method. By manual calculation, the motor speed estimation result in the L-R method had an error of 0.14%, while the motor speed estimation results in the R method had an error of 5.03%. The estimation results of motor speed implemented on a real DC motor and microcontroller system in the L-R method had an error of 3.98%, while the result of the estimation of motor speed in the R method had an error of 4.87%.
TopC-CAMF: A Top Context-Based Matrix Factorization Recommender System
Authors: Rosni Lumbantoruan  , Paulus Simanjuntak  , Inggrid Aritonang  , Erika Simaremare  
Published: November 2022

Online activities have been more and more vital as the digital business has expanded. Users can conduct most activities online such as online shops, hotel bookings, or online educations and courses. A large number of social users are drawn to the abundance of goods available on the Internet. The huge amount of information makes it impossible for social users to navigate it properly and efficiently. Many companies have offered a personalization to tackle this issue. It is proven that the personalized recommendation systems are able to suggest items to users based on their interests and needs that best suit them, which can be captured from user’s contextual information. However, most of the studies capture this contextual information from the predefined contexts such as location and time. In this study, the personalized user context from the user’s text review that they posted as they gave rating to an item was obtained. To this end, a new approach based on the matrix factorization recommendation model, TopC-CAMF, was proposed. TopC-CAMF investigates and finds the most important contexts or needs for each user by leveraging the deep learning model. First, all important contexts from user’s text reviews were extracted. The next step was representing user preferences with the variations of most important contexts, namely top 5, top 10, top 15, top 20, and top 25 contexts. Then, the best top context variation was evaluated and the optimal one was used as the input for the matrix factorization method in providing better recommendations. Extensive experiments using three real datasets were conducted to prove the effectiveness of the TopC-CAMF in terms of root mean square error (RMSE), mean absolute error (MAE), mean squared error (MSE), normalized discounted cumulative gain (NDCG), and Recall.
STUDY ON ENGLISH LANGUAGE EVALUATION STANDARDS
Authors: Tumurbat Oyun-Erdene , Sergelen Namuun 
Published: November 2022

There are several evaluation standards to assess English levels. Through this article, we consider the Common European Framework of Reference (CEFR) as an important tool. We aimed to reveal the evaluation standards used in universities and English language training courses in our country and to clarify how the standard tolerates internationally accepted English language evaluation standards. Within the scope of this goal, 27 teachers who teach English in universities and colleges in Mongolia, 22 teachers of English language training centers (general informants), and 656 students who study English in 21 universities and colleges in Mongolia (casual informants) were randomly selected and a survey with 3 groups of 24 questions was conducted over 2 months using Google Form, and the collected results were processed and compared using SPSS program.96.3% of the teachers of universities and colleges evaluate the English course on a 100-point scale. 55.5% of them agreed that the future use of CEFR assessment standards would provide a more objective assessment of students' language levels. According to the responses of training center teachers, 68.2% of the participating training center teachers evaluate the student's language level according to the CEFR standard, which shows that they use an internationally recognized evaluation method. In this regard, 42.7% of the 656 students who participated in the study agreed that the CEFR assessment standard, rather than the 100-point scale, could fully reflect their language level internationally in the future, which was in line with the researchers' hypothesis.
Assessing operating conditions of silicone torsional vibration dampers of ship propulsion systems
Authors: Sibryaev Konstantin Olegovich , Pokusaev Mikhail Nikolaevich , Gorbachev Maxim Michailovich , Ibadullaev Adel Damirovich 
Published: November 2022

The article considers the assessment of operational conditions of silicone torsional vibration dampers
of ship propulsion systems. The static data of the foreign company “Holset” on the average time of preventive repairs of silicone dampers with removable covers are given, the performance indicators of these devices are presented. The parameters of efficiency and technical state of the silicone dampers are determined. As it has been found out from the technical operation, the replacement of torsional vibration dampers is needed only if there appear any clear signs
of their malfunction or damage. The main methods of diagnostics of operating condition of silicone dampers are analyzed (diagnostics and determination of the residual resource based on the results of the torsiography procedure of the ship shafting, sampling the damper filler (silicone liquid) with further conducting the physico-chemical analysis. The key factors affecting the performance of silicone dampers are considered (state of the filler of polymethylsiloxane liquid (PMS-liquid), leakage of PMS-liquid, design of the silicone damper, resonant modes of the main engine operation). Conclusions are drawn about the optional correspondence of the appointed terms of operation of torsional vibration silicone dampers and their technical state; the need for periodic, timely troubleshooting; inefficient determining the operability and technical state of the dampers based on sampling the filler (silicone liquid).
relación con la luz. Las cartas de la Mujer Vampiro, la Verídica, una novela digital olvidada de Cristina Rivera Garza
Authors: Olaizola Andrés 
Published: November 2022

El presente artículo se propone examinar Una relación con la luz. Las cartas de la Mujer Vampiro, la Verídica, una novela digital por entregas que Cristina Rivera Garza publicó entre el 2005 y el 2007.
El objetivo del artículo es analizar cómo se despliega en esta novela digital por entregas uno de los procedimientos centrales en la poética de Rivera Garza, la expansión. Para ello, articularemos un análisis específicamente de contenido con una lectura distante a través del empleo de la herramienta digital Voyant Tools.
PENGGUNAAN ALAT PERAGA DALAM METODE BERCERITA UNTUK MENINGKATKAN PERBENDAHARAAN KATA ANAK 5-6 TAHUN
Authors: Agusriani Ade , Sumiati Siti , Ismail Wahyuni , Nurhayati Andi , Rachmatiah St 
Published: November 2022

Improving vocabulary in children is very important to be stimulated, , the more vocabulary mastered by children it can facilitate children in interacting and communicating with others. This study aims to determine whether the vocabulary mastered by children is able to re-discuss the story that has been heard through the method of storytelling using props in children aged 5-6 years. Community service research in the form of service learning was conducted in kindergarten Aisyiyah Branch 1 Sungguminasa with a number of participants as many as 3 children. The instruments used in the form of props are images of animals that are cut out according to their shape and pasted on cardboard paper, besides the instruments used are also sheets of evaluation of implementation and intervention. Data were analyzed using descriptive statistics. The results of this study showed that the 3 participants ' language development was different, there were children who had dared to propose to retell stories that had been heard but still could not tell them in order, there were also children who could tell it well but needed more time because they were still hesitant and shy and among them there were children who only heard and listened to their friends tell stories. The findings in this study imply that storytelling methods can improve children's vocabulary, if they focus on listening and listening to the content of the story.
Improving the Supply Chain Management
Authors: Xu Lijuan , Zhang Mengze , Abdullayeva Irada 
Published: November 2022

Abstract
This paper develops a methodological approach to assessing the supply chain management in small- and medium-sized businesses with further testing it in the companies in the post-Soviet economies. The research objectives were achieved in terms of a sophisticated multi-country project resulting in assessment of the supply chain management for small- and medium-sized businesses in Russia, Kazakhstan, and Azerbaijan (256 businesses in total). The study was implemented through a phased application of online survey methods using closed-ended single-choice questions, including a 5-point Likert scale, mean score ranking, and ABC analysis using the Pareto principle. The assessment showed that, regardless of the surveyed country, almost all respondent businesses use a reactive supply chain design. Since the reactive design does not allow for the implementation of resilient supply chain development, the recommended practices, which have been developed during the pilot phase, deal with improving the supply chain management and gradual transformation of the reactive design into a cooperative management model to ensure resilient supply chain development under uncertainty.