bluuebunny/crossref_metadata_2025_split huggingface dataset:
Profils et taux de renouvellement en minéraux dans le pré-estomac de dromadaires pâturant en diverses saisons au Kenya
Authors: Höller H. , Breves G. , Lechner Doll M. 
Published: July 2023

Les volumes et les taux de renouvellement du liquide des pré-estomacs ont été mesurés sur quatre dromadaires adultes fistulés entretenus sur pâturage dans les savanes arbustives à épineux du Kenya. Simultanément, les concentrations en minéraux et leur renouvellement ont été déterminés dans les compartiments C1 (rumen) et C2 (réseau). Les études ont été menées durant la saison humide et durant la saison sèche ; les comportements alimentaires ont été observés pour déterminer les régimes. Les volumes du liquide du pré-estomac n’étaient pas différents d’une saison à l’autre mais les taux de renouvellement du liquide étaient beaucoup plus bas en saison sèche. Les profils de concentration en minéraux Na, K, Ca, Mg et en phosphore inorganique variaient dans la journée selon les différents régimes alimentaires et probablement la production de salive. Le renouvellement journalier des cinq minéraux, dans les pré-estomacs a diminué durant la saison sèche.
Sentiment Polarity Identification in Banner Headlines of Broadsheets in the Philippines
Authors: Diaz Manuel Jr 
Published: July 2023

This study analyses the sentiment polarity of the banner headlines from six broadsheets in the Philippines with the biggest circulation nationwide. The sentiment polarity is the general perception of whether it is worded positively, neutral, or negatively. This study employs five machine learning and artificial intelligence (AI) to conduct the analysis. The results reveal a tone reflecting editorial policy that tends to lean towards the negative tone. While there is a utility for negative framing of the news, this paper argues that a pivot to the positive, particularly in the Philippine setting, is worth considering. Based on current literature, positivity shows the potential to bring in more readers. Publishers can leverage positivity in the news as part of strategies to stem the tide of readership decline. Positivity in the news should start with the headline, through which readers have a first glimpse of the story. Keywords: sentiment polarity identification, sentiment analysis, sentiment polarity of banner headlines
Social Identity Negotiation in Online Communication: Understanding the Formation of Violent Normalization as Means to Deal with Violent Crimes in Online Facebook Group ‘Info Cegatan Jogja’
Authors: Asyraf Muhammad Affan , Putri Megawati Sukarno , Qiara Aulia Devi , Kirana Ardifya Nandhia , Dzakki Muhammad Naufal 
Published: July 2023

In the last decade, street violence in the Special Region of Yogyakarta (DIY) has increased immensely. Whether intentional or organized, violence has become news, increasingly appearing on various media and social platforms. This phenomenon contradicts the predicate of Yogyakarta as a city of students and a city of culture. Through such background, this study encourages investigating the socio-cultural contexts of such increasing violence in a city, promoting its branding as a non-violence city. This study analyses one of the largest online social platforms in Yogyakarta, called ‘Info Cegatan Jogja’ (ICJ). Applying an ethnographic approach, quantitative and qualitative data were collected and analyzed using the sentiment analysis method. The study finds that the high rate of violence is not solely the result of street violence itself, but is also supported by the act of justifying violence with the general idea that the accurate way to deal with violence is through violence. In other words, society begins to assume that if it is treated as a curative measure, then violence is accepted as something to be normalized. Keywords: Violence, Info Cegatan Jogja, social media, negotiation, violent normalization.
Exploring Political Participation and News Media Consumption on Communicative Culture in Pakistan
Authors: Memon Sumera , Ishak Mohd. Sobhi , Abdul Hamid Norsiah Binti 
Published: July 2023

This article is taking a conceptual approach to test the influence of Family, School and Peer group communicative culture on political participation through news media use. Although the concept of news media effect on political participation is not new. Yet there is scarcity in empirical antecedents which motivate youth behavior of consuming news. Moreover, Situated Learning Theory will underpin the study to understand the consequences of lack of political participation. Lastly, this paper offered a framework to guide researchers, policymakers and Election Commission of Pakistan on what factor is more influential to intersect youth towards the political domain and how to engender political participation of Pakistani youth.
Online Language Teaching And Assessment: Challenges And Solutions
Authors: Omar Wafa , Nordin Nur Rasyidah Mohd , Ridzuan Iliya Nurul Iman Mohd 
Published: July 2023

<p align="center"><strong>ABSTRACT</strong></p><p align="center"><strong> </strong></p><p>A language classroom must have the right environment for learning and cannot be classified as every other subject as it is a subject which assesses students' abilities in speaking, listening, reading, and writing. As language educators are obliged to use online platforms to teach and assess their students due the pandemic, there are many challenges that they face. Thus, the purpose of this study is to look into the issues that language instructors have when it comes to online learning and assessment. All language instructors at the School of Languages, Civilization, and Philosophy, Universiti Utara Malaysia's were given Google Form questionnaires to answer. The data was analysed using SPSS statistic version 26 and Smart PLS-SEM 3.2.8 with a sample volume of 40 (56 percent) (Ringle, Wende, &amp; Becker, 2015). The descriptive statistics of the respondent's demographic profile were conducted using the SPSS statistics tool. Following that, the PLS statistical tool was used to examine the study's measurement and structural model. The measurement model test was undertaken to ensure that the constructs of this study had reached their reliability and validity. The findings show multiple applications and platforms, online marking, nonverbal evaluation, and plagiarism pose the greatest problem for language instructors in terms of technology and assessments. In terms of teaching, the issues are creativity, rapport, heavy workload, as well as lack of communication and participation from students.</p><p><strong> </strong></p><strong>Keywords</strong>: Online teaching, Online assessment, Language instructors, Pandemic
Simulator Aids Design, Analysis of Acidizing Jobs With Fluoroboric Acid
Authors: Carpenter Chris 
Published: July 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 205893, “Novel Simulator for Design and Analysis of Matrix Acidizing Jobs With Fluoroboric Acid in Sandstone Reservoirs,” by Mohammed Qamruzzaman, SPE, Mandeep Khan, and Dhirendra C. Roy, SPE, ONGC, et al. The paper has not been peer reviewed.

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Matrix acidizing with fluoroboric acid (HBF4) has gained special attention because of its deeper penetration of in-situ generated hydrofluoric (HF) acid and stabilization of formation fines by binding them to the pore surface. While numerous mathematical models exist in the literature for design and evaluation of conventional mud acid treatments, few attempts have been made in developing a laboratory-validated model that can do so for fluoroboric acid treatments. The complete paper presents a novel mathematical model that has been developed that takes into account the chemical kinetics and equilibrium aspects of important reactions and fluid flow inside the reservoir rock.

Mathematical Modeling
Because the complete paper contains numerous equations, it is essential for understanding the authors’ description of their mathematical model.
The authors identify three benefits of their approach from a modeling point of view. First, it reduces the total number of chemical reactions taking place, which greatly simplifies computational complexity while maintaining reasonable accuracy. Second, the inclusion of separate chemical reactions for silica gel precipitation may require fixing the average value of stoichiometric coefficients for reactions between HF/hexafluorosilicic acid (H2SiF6) and slow- and fast-reacting minerals. This becomes challenging to do beforehand, especially when different types of clays are present with relatively equal proportions in the reservoir. Third, all resulting nondimensional numbers can be estimated easily by measuring effluent acid concentration during coreflooding.
The following assumptions have been incorporated into the model:
- The reservoir and core are assumed to be homogeneous and isotropic.
- Flow is assumed to be one-dimensional.
- All fast-reacting minerals are grouped together as a single fast-reacting mineral.
- All slow-reacting minerals are grouped together as single slow-reacting mineral.
- The reaction of HF with fast- and slow-reacting minerals is assumed to be first-order with respect to HF.
- Changes in porosity are small and diffusion/gravity/thermal effects are neglected.

Laboratory Studies
Laboratory studies were performed on sandstone core samples from a prominent payzone in northeastern India to generate data for model validation. Core plugs of 1.5-in. diameter were taken from the same block to prevent mineralogical heterogeneities. Samples were characterized with X-ray diffraction (XRD) analysis and porosity measurements.
This payzone was selected because it consists of a diverse range of minerals. Thus, a model that can be validated with the coreflooding from this sample could, in principle, apply to any other sandstone reservoir.
STGMVA: clustering, imputation, and integration for spatial resolved transcriptomics using spatio-temporal gaussian mixture variational autoencoder
Authors: Liu Teng , Li Xin , Pan Xu , Zhang Lining , Liao Jiangnan , Yin Mingzhu 
Published: July 2023

Abstract
Spatially resolved transcriptomics technologies enable the sequencing of gene expression profiles while preserving the spatial context. The data analysis for spatial transcriptomics comprises three fundamental components: cell type clustering, gene imputation, and multi-sample integration. In this study, we present STGMVA, a comprehensive analysis toolkit that employs a spatiotemporal gaussian mixture variational autoencoder to tackle these tasks effectively. STGMVA includes two stages: pretraining the gene expression and spatial location using a gaussian mixture model and learning the embedding vectors through a variational graph autoencoder. Results demonstrate STGMVA surpasses state-of-the-art approaches on various spatial transcriptomics datasets, exhibiting superior performance across different scales and resolutions. Notably, STGMVA achieves the highest clustering accuracy in human brain, mouse hippocampus, and mouse olfactory bulb tissues. Furthermore, STGMVA enhances and denoises gene expression patterns for gene imputation task. Additionally, STGMVA has the capability to correct batch effects and achieve joint analysis when integrating multiple tissue slices.
Human Mobility and Medical Costs of Lifestyle-related Diseases during the COVID-19 Pandemic: A Cross-sectional Study in Japan
Authors: Kato Haruka , Takizawa Atsushi 
Published: July 2023

Abstract
During the COVID-19 pandemic, restrictions on human mobility caused health problems. Therefore, it is valuable to evaluate the human mobility restrictions during the pandemic from the population health viewpoint. This study aimed to clarify the correlation between changes in human mobility types and medical costs of lifestyle-related diseases during the pandemic. Boosted tree analysis analyzed the nonlinear relationship between human mobility types and medical costs of lifestyle-related diseases in Japan. The results of this analysis indicated that medical costs were differently affected by walking, driving, and public transit, depending on the type of prefecture. Increasing walking by over 70% reduced the medical costs of lifestyle-related diseases, even during the COVID-19 pandemic. In metropolitan prefectures, the total effect on medical cost was higher for walking and public transit. In addition, medical costs decreased by gradually increasing public transit use by over 110%. On the other hand, in other prefectures, the total effect of public transit was lower than driving, and medical costs increased from 80% to 160%. These results were significant because they indicated the target value for each human mobility type in metropolitan areas and other prefectures. In conclusion, this analysis indicated that increasing walking and public transit use correlated with a decreasing in the medical costs of lifestyle-related diseases even during the COVID-19 pandemic. The results were significant because they indicate the target value for each human mobility type according to the metropolitan and the other prefectures. Based on the target values, governments can take measures other than restricting walking and public transit use during the pandemic.
Systematic scoping review protocol of Stroke Patient and Stakeholder Engagement (SPSE)
Authors: Roudini Juliet , Weschke Sarah , Rackoll Torsten , Dirnagl Ulrich , Guyatt Gordon , Khankeh Hamidreza 
Published: July 2023

Abstract
This protocol describes a systematic scoping review of Stroke Patient and Stakeholder Engagement (SPSE), concepts, definitions, models, implementation strategies, indicators, or frameworks. The active engagement of patients and other stakeholders is increasingly acknowledged as essential to patient-centered research to answer questions of importance to patients and their caregivers. Stroke is a debilitating, long-lasting burden for individuals, their families, and healthcare professionals. They require rehabilitation services, health care system assistance, and social support. Their difficulties are unique and require the continued involvement of all parties involved. Understanding SPSE in research is fundamental to healthcare planning and extends the role of patients and stakeholders beyond that of the study subject. We will conduct a systematic literature search to identify the types of existing evidence related to SPSE, implementation strategies, indicators, or frameworks related to Patient and Stakeholder Engagement (PSE), clarify key concepts, definitions, and components of SPSE, compile experiences and prerequisites and identifying stroke research internationally. Two independent reviewers will extract data from selected studies onto a customized extraction form that has already been piloted. We integrate existing knowledge to address gaps in the literature on SPSE research by presenting the model, implementation strategies, indicators, and frameworks for stroke patients. We hope that these findings will offer future researchers a clear picture and conceptual model of SPSE.
Fire Frequency Influences Soil Organic Carbon Stocks and Sequestration in a South African Mesic Grassland
Authors: Nicolay Robyn Elizabeth Elizabeth , Tedder Michelle Jennifer , Mkhize Ntuthuko Raphael , Kirkman Kevin Phillip 
Published: July 2023

Abstract

Background Grasslands are significant terrestrial carbon sinks, storing large amounts of carbon in aboveground vegetation and roots and soils. However, the potential of grasslands to store organic carbon (OC) depends on how they are managed, particularly with the application of anthropogenic fires, which present both positive and negative carbon feedbacks. South African grasslands are fire-prone ecosystems, and fire plays an important ecological role in shaping and maintaining grasslands. Fire acts as a driver for fluctuations in carbon sequestration, through removal of above-ground biomass, redistribution of nutrients, and direct contribution of inputs through thermal mineralisation. However, regular burning has been recorded to reduce carbon in the top layers of soil, through the reduction of organic matter content and microbial biomass.Results The study analysed the effects of different fire frequencies and seasons on soil organic carbon (SOC) stocks, total nitrogen (TN), and carbon to nitrogen (C:N) ratios in a mesic grassland ecosystem in South Africa. The results showed that there was no significant interaction between treatment and depth, but significant differences were observed in the main effects of 5 cm depth increments (to a depth of 30 cm) and burn treatments. SOC and TN exhibited the highest stocks in the top 5 and 10 cm of soil across all treatments, with decreasing amounts at deeper soil depths respectively. Grasslands burnt annually in winter and spring showed the highest SOC stocks and wider C:N ratios. Conversely, reduced SOC and TN stocks were observed in biennial spring and autumn burns, with wider C:N ratios. Triennial burns showed the lowest rates of sequestration in the top 5 cm of soil, and negative sequestration rates were observed in 10 cm soil depth increments. Winter annual burns showed the highest SOC sequestration, while triennial burn frequencies exhibited negative sequestration in 10 cm soil depth increments. exhibited negative sequestration in 10 cm soil depth increments.Conclusions The results indicate that prescribed burns in spring have a significant impact on SOC and N concentrations in the upper soil horizons. SOC sequestration increased over time and did not show signs of stabilization, with SOC loss observed in soils below 5 cm in areas burnt triennially. The findings have implications for grassland management decisions relating to productivity, land rehabilitation, or conversion to pastoral use.
Modified Smart Air Conditioner Using Fuzzy Logic
Authors: lahari palle , reddy kakularam Revanth , abhilash Nagisetty , Ayyasamy S 
Published: July 2023

Abstract
Now a days air conditioner is turned into basic need for everybody in rural and urban areas not only domestic wide also as industrial wide. Because of these unsmart air conditioners the usage of power is increased. So Automation of air conditioner system is important for the users so as to reduce power consumption and supply comfortable environment. In this project, FUZZY logics are used in accordance with compact controllers to take care of the temperature close to the comfortable temperature. This proposes the thought to reduce user interface with the air-conditioner system and encourages use of various input methods directly from the surrounding. The main objective of this project is to give comfortable temperature to user, less user interface and this system can save 16–25% of total energy consumed by the air conditioners. A Fuzzy Logic System is flexible and allow modification in the rules. The systems are often easy to put in and price is additionally low. Since these systems involve human reasoning and deciding, they're useful in providing solutions to complex solutions within the application.
The national Moroccan Registry of ST-elevation Myocardial Infarction (MR-MI)
Authors: Soufiani Aida , Chraibi Hamza , Asfalou Ilyasse , Ouafi Noha El , Hattaoui Mustapha El , Habbal Rachida , Chaib Ali , Fellat Rokya , Akoudad Hafid , Benyass Aatif , Cherti Mohamed , Abouqal Redouane , Bendagha Nesma , Ztot Samir 
Published: July 2023

Abstract
Background
MR-MI is the first national Moroccan ST-elevation myocardial infarction (STEMI) registry. Its objectives are to assess patient management modalities and highlight the clinical and therapeutic characteristics of this pathology in all cardiology centres on a national scale.
Methods
Adult patients presenting with STEMI within 5 days of symptoms onset were enrolled over a period of 18 weeks from April to August 2018. 57 cardiology centres distributed in 22 cities in Morocco participated in the study, including 5 university hospitals, representing 70% of Moroccan centres managing STEMI patients. A case report form was sent to the investigators in both electronic and paper forms. Sociodemographic, clinical, management, revascularization, and follow-up data were collected.
Results
A total of 809 patients were recruited. The population was mostly male (74.8%) with an average age of 62.6 ± 11.6 years. The most common risk factors were smoking (38.3%) arterial hypertension (30.7%), and diabetes (28%). 30% of patients were admitted within the first 6 hours of symptoms onset and 49.6% benefitted from early revascularization. Mortality rate was 5.2% in-hospital and 3.2% at the one-month follow-up.
Conclusion
MR-MI is the first Moroccan STEMI registry on a national scale. Relevant management delays are much longer than other countries, and less than 50% of the patients that present on time benefit from early revascularization. Efforts remain to be done on the optimal diagnosis and treatment of STEMI.
A Compact Patch Antenna for 5G Communication (39 GHz-mmWave-n260) Employing Aperture Coupled Feeding Technique
Authors: Abhishek Amit , Suraj Priyadarshi 
Published: July 2023

Abstract

In the present work Aperture Coupled Feed (ACF) microstrip patch antenna for 5G communication is proposed. The proposed antenna has a very compact size of 2.2λg×2.2λg×0.3λg (mm3), it is printed on Rogers RT Duroid 5880 with Ꜫr =2.2. The antenna having two vertical layer of 0.8 mm separated by air gap of 0.035 mm. The upper edge of substrate has a circular ring patch working as radiator whereas bottom having no metallization. Upper portion of lower substrate has plus shape slot and at bottom is a rectangular feed line acting as feeder to patch antenna. The antenna operatable from 36.84 GHz to 46.78 GHz and having an operating frequency of 38.40 GHz. The overall B.W% achieved is 25.91% and peak gain observed to be 7.32 dB. The measured results are in close agreement with the simulated one. Prior to approaching ACF technique, a conventional microstrip patch antenna with circular radiator with size of 2.2λg×2.2λg×0.15λg (mm3), printed on single PCB of same material was considered. The antenna gets operatable from 33.07 GHz to 39.5 GHz and resonating at 38.02 GHz. The overall B.W% achieved is 17.10% and peak gain of 8.1 dB. Both antennas are good candidature for 5G Communications.
Monte Carlo modeling of the 160 MLC on the Siemens Artiste linac and IMRT dose calculations with MCNPX
Authors: Rafat-Motavalli Laleh , Khodabandeh-Baygi Vida , Hoseinian-Azghadi Elie , Tafakkor Sadegh , Tuğrul Taylan , Dayyani Mahdieh 
Published: July 2023

Abstract
Monte Carlo (MC) methods are considered as the most accurate dose calculation method and has become more common as a complementary method for dose verification in radiation therapy routines. The purpose of this study is to fully simulate a benchmarked Artiste head and the Siemens 160 multileaf collimator (MLC) by MCNPX 2.6 Monte Carlo code. The MC-based calculations were benchmarked against the commissioning measured data and an MLC test field. A comparison between MC-based and TPS-based dose maps was made for beams of a typical complicated IMRT plan and it was shown that the 3D gamma passing rate with criteria 3%/2mm and a dose threshold of 10% is acceptable (i.e., GPR of 97.7%). Therefore, the provided model has sufficient accuracy and feasible computation time to be used for verification of complicated IMRT plans.