bluuebunny/crossref_metadata_2025 huggingface dataset:
Maternal Psychosocial Distress, but Not Family Integrated Care in Neonatal Intensive Care Units, Is Associated with Child Development at 18 Months
Authors: Benzies Karen M , Bartram Fiona C , McNeil Deborah A
Published: December 2024

Background/Objectives: Preterm birth, even for moderate or late preterm infants (MLPI), is associated with longer-term developmental challenges. Family Integrated Care (FICare) models of care, like Alberta FICare, aim to improve outcomes by integrating parents into neonatal care during hospitalization. This follow-up study examined the association between models of care (Alberta FICare vs standard care) and risk of child developmental delay at 18 months corrected age (CA) and explored the influences of maternal psychosocial distress.
Methods: We assessed 257 mothers and 298 infants from a cluster randomized controlled trial conducted in ten Level II NICUs in Alberta, Canada. l Risk of developmental delay was assessed using
the Ages and Stages Questionnaires 3rd Edition (ASQ-3), Ages and Stages Questionnaires: Social-
Emotional 2nd Edition (ASQ:SE-2), and the Brief Infant and Toddler Social Emotional Assessment
(BITSEA). Maternal psychosocial distress was assessed using self-reported measures of depressive
symptoms, anxiety, parenting stress, and self-efficacy.
Results: There was no association between model of care and risk of child developmental delay.
Higher maternal parenting stress was associated with increased risk of developmental delay on
the ASQ-3 and ASQ:SE-2, and BITSEA.
Conclusions: Alberta FICare was not associated with decreased risk of child developmental delay at months CA. Maternal parenting stress significantly influenced risk of child developmental delay, suggesting that post-discharge family environment plays a more important role in the development of MLPI than interventions in hospital.
Sustainability Impacts Evaluation of the Recycling of End-of-Life Crystalline Silicon Solar Photovoltaic Panel Waste in South Korea
Authors: Kwon Soonho , Kim Samyeon , Hong Sung Joo
Published: December 2024

End-of-life (EoL) management of solar panel waste has emerged as an important issue related to first-generation solar panels in South Korea, which have already entered their retirement stage. In this study, the sustainability impacts of three scenarios for recycling EoL solar panels, namely, mechanical recycling (MR), chemical recycling (CR), and thermal recycling (TR) were investigated and their environmental and economic benefits were evaluated using the life cycle sustainability assessment (LCSA) method, with landfilling as the reference scenario. The results obtained showed a high global warming potential (GWP) as well as acidification for MR owing to the additional burden of transportation and industrial processes associated with MR. For CR, the use of chemicals and subsequent landfilling resulted in approximately 4.7 times higher terrestrial ecotoxicity than was observed for the landfilling scenario. Further, the GWP of TR was approximately 1.5 times higher that of CR owing to its high energy consumption. However, its environmental burden was generally lower than those of MR and CR. The results of this study, which capture the current situation of EoL PV panels in South Korea, can be employed to facilitate the establishment of regulations that ensure sustainable management in this regard.
Comparative Analysis of the Human Proteome Profile in visceral Adipose Tissue and Liver Tissue in Individuals with Obesity With and Without MASLD and MASH
Authors: Pedersen Julie Steen , Niu Lili , Wever Albrechtsen Nicolai Jacob , Kristiansen Viggo Bjerregaard , Poulsen Inge Marie , Serizawa Reza Rafiolsadat , Hansen Torben , Gluud Lise Lotte , Madsbad Sten , Bendtsen Flemming
Published: December 2024

Abstract: Background/Objectives: Visceral adipose tissue (VAT) could be directly involved in the develop- ment of metabolic-associated steatotic liver disease (MASLD) and progression to metabol-ic-associated steatohepatitis (MASH). We employed untargeted proteomics analyses of paired VAT and liver biopsies to explore protein expression patterns in patients with obesity, MASLD and MASH in search of the potential presence of a MASH associated proteome in VAT and liver. Methods: VAT and liver tissue were collected from 70 subjects with severe obesity (SWO) and nine control study subjects without obesity (CON). SWO were stratified on the basis of liver his-tology into LS- (no liver steatosis), LS+ (liver steatosis) and MASH. Peptides were extracted from frozen tissue and were analyzed by liquid chromatography coupled to tandem mass spectrome-try (LC-MS/MS). Raw files were analyzed with Spectronaut, proteins were searched against the human FASTA Uniprot database and the significantly expressed proteins in the two tissues were analyzed. P-values were false discovery rate (FDR) corrected.
Results: 59 VAT and 42 liver proteins were significantly differentially expressed between the four groups; LS-, LS+ and MASH and CON. The majority were upregulated, and many were related to lipid metabolism. In VAT only one protein, SQOR, was significantly downregulated in the MASH group only. In liver tissue from patients with MASH six proteins were significantly altered compared with the three other groups. Correlation analyses between the top 10 positive VAT and liver proteins were dominated by inflammatory and detoxification proteins.
Conclusions: Presence of MASH is not reflected in the VAT proteome and both the VAT, and the liver proteome are generally affected more by the presence of obesity than by MASLD severity. Several immunomodulating proteins correlated significantly between VAT and liver tissue and could reflect common pathophysiological characteristics.
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Speaker Diarization: A Review of Objectives and Methods
Authors: O'Shaughnessy Douglas
Published: December 2024

Recorded audio often contains speech from multiple people in conversation. It is useful to label such signals with speaker turns, noting when each speaker is talking and identifying each speaker. This paper discusses how to process speech signals to do such speaker diarization (SD). We examine the nature of speech signals, to identify the possible acoustical features that could assist this clustering task. Traditional speech analysis techniques are reviewed, as well as measures of spectral similarity and clustering. Speech activity detection requires separating speech from background noise in general audio signals. SD may use stochastic models (hidden Markov and Gaussian mixture) and embeddings such as x-vectors. Modern neural machine learning methods are examined in detail. Suggestions are made for future improvements.
Integrating Zero-Shot Classification to Advance Long COVID Literature: A Systematic Social Media–Centered Review
Authors: Thakur Nirmalya
Published: December 2024

Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often debilitating symptoms. Social media has emerged as a vital resource for those seeking real-time information, peer support, and validating their health concerns related to Long COVID. This paper examines recent works focusing on mining, analyzing, and interpreting user-generated content on social media platforms such as X (formerly Twitter), Reddit, Facebook, and YouTube to capture the broader discourse on persistent post-COVID conditions. A novel transformer-based zero-shot learning approach serves as the foundation for classifying research papers in this area into four primary categories: Clinical or Symptom Characterization, Advanced NLP or Computational Methods, Policy, Advocacy, or Public Health Communication, and Online Communities and Social Support. This methodology showcases the adaptability of advanced language models in categorizing research papers without predefined training labels, thus enabling a more rapid and scalable assessment of existing literature. This review highlights the multifaceted nature of Long COVID research, where computational techniques applied to social media data reveal insights into narratives of individuals suffering from Long COVID. This review also demonstrates the capacity of social media analytics to inform clinical practice and contribute to policy-making related to Long COVID.
Self-Compacting Concrete with Local Materials for Reinforced Concrete Structures
Authors: Galymzhanova Dinara , Zharylgapov Sabit , Ryskaliyev Muratbay , Saktaganova Nargul , Zhakapbayeva Gulnaz
Published: December 2024

The article discusses the prospects of using self-compacting concrete (SCC) based on local raw materials to produce reinforced concrete structures. The focus is on reducing energy consumption in the construction industry by eliminating heat treatment and mechanical sealing processes, as well as minimizing transportation costs. In Kazakhstan, the application of SCC is limited; however, studies confirm its effectiveness.
Experiments demonstrate that incorporating zeolite and stone flour as fillers improves the rheological properties of concrete and reduces cement consumption while maintaining high performance. The resulting mixture achieves B30 strength and meets the re-quirements for floor slab production. Microstructural analysis revealed enhanced strength and density properties of the concrete due to active additives.
The adoption of SCC technologies can reduce direct energy costs by 20–25% and promote sustainable development in the industry by utilizing local resources and lowering envi-ronmental impact. To this end, SCC compositions based on local raw materials were developed, and the interactions among concrete components during property formation were investigated. Concrete with reduced binder content and average strength was suc-cessfully produced.
Curve Tracking Algorithm for Automatic Train Operation Based on Iterative Learning Control
Authors: Wang Xikui , Li Haiyan , Li Yanan , Liu Chunyan , Xiong Peng
Published: December 2024

This paper addresses the challenge of designing an automatic train driving controller for high-speed railway systems to improve the accuracy and stability of train speed control. The Automatic Train Operation (ATO) system is crucial for ensuring safety, punctuality, and comfort. Traditional control algorithms, such as PID, Sliding Mode Control (SMC), and neural networks, have limitations in handling the nonlinear and time-varying nature of train dynamics. To overcome these, we propose a PID-type Iterative Learning Control (ILC) algorithm that leverages the repetitive characteristics of train operations. The algorithm combines feedback and feedforward mechanisms to process operational data iteratively, enabling rapid and accurate tracking of the target speed curve. Simulations using real track data and train parameters validate the algorithm's effectiveness, demonstrating improved tracking accuracy and convergence as the number of iterations increases. The PID-type ILC algorithm outperforms traditional PID control, showing its potential for high-precision, fast-response, and stable tracking in automatic train operation systems.
An integrated Detection Device for the “Angle & Illuminance” of the Lifting Lighting System on Fire Fighting Vehicles
Authors: Xie Mengbin , Zhu Yi , Zhu Yun , Wang Changwei , Li Bing , Yin Jianbo
Published: December 2024

Taking the detection device of the lifting lighting system on fire fighting vehicles as the research object, the structure optimization design of the detection device was carried out to address the problems of the illuminance meter currently used for current detection of fire fighting vehicles, such as the need for testing in large open areas and poor environmental adaptability. A set of integrated detection devices for the "angle & illuminance" of the lifting lighting system on fire fighting vehicles was obtained. The main body of the device consists of three parts: "angle de-tection device", "illuminance detection device ", and "angle & illuminance data integration ter-minal". It can achieve synchronous detection and real-time monitoring of the angle and illumi-nance of the lighting system. The results show that the optimized detection device of the lighting system can detect the illumination of the lifting lighting system on fire fighting vehicles in small areas on long and narrow road sections. The angle detection accuracy is 0.1 °, and the illuminance detection accuracy is 0.1 lx, with an error of less than 3 % compared to the illuminance meters currently used for detection. The illumination detection device has the function of automatic leveling, ensuring that the device can smoothly complete the detection work even when placed on uneven road surfaces.
STUDY OF THE EFFECTIVENESS OF METHODS FOR IMPROVING THE ACCURACY OF MEASUREMENTS OF TECHNOLOGICAL PARAMETERS OF THE CONTROLLED OBJECT
Authors: Babichenko A. K. , Krasnikov I. L. , Kravchenko Y. O. , Demenkova S. D.
Published: December 2024

The norms and indicators of controlled parameters of technological processes are established, which are most often represented by a nominal value with a maximum permissible deviation (confidence interval). It is shown that the section on production control and process management is one of the most important parts of the technological regulations. A separate task of this section is purely metrological, which ensures the selection of measuring instruments in accordance with the requirements for the above indicators and norms of the controlled parameters. It is noted that the greatest difficulty in such selection arises when controlling a process parameter using a measuring set consisting of a primary converter, a possible intermediate converter and a secondary instrument. At the same time, according to the regulated standard, the determination of the total measurement error in such circumstances is carried out in the assumption that the most probable value of the parameter is only one measurement result, and the components of the measurement result error are the absolute basic and additional (non-excluded systematic) errors of the measuring instruments. Recommendations are given on the choice of the main error, namely, at the point with the nominal or the limit value at which the error is maximum. A condition is formulated under which the selected measuring instruments with their standardised metrological characteristics must meet the requirements of the technological regulations. The effectiveness of various methods of improving the accuracy of measurements of some technological parameters is investigated on specific examples, including the calculation of the efficiency factor of their application. This includes an analysis of the impact of both basic and additional errors that occur during measurements. The errors were calculated on the basis of the data provided in the regulatory and technical documentation for the relevant devices, which made it possible to accurately assess their impact on the overall measurement accuracy. It is proved that the greatest efficiency in improving the measurement accuracy of a process parameter is provided by increasing the measurement accuracy of the primary converter or reducing its measurement range.
OPTIMIZATION OF R744 CONTENT IN MIXTURES WITH R290, R600, R600A, R170 TO INCREASE THE ENERGY EFFICIENCY OF THE REFRIGERATION SYSTEM
Authors: Zaruba H. H. , Khmelniuk M. H.
Published: December 2024

This paper presents a general theoretical analysis of binary refrigerant blends based on R744 (carbon dioxide) in combination with certain hydrocarbons, including R290 (propane), R600 (butane), R600a (isobutane), and R170 (ethane). The main goal of the study was to determine the optimal molar ratios for each of the mixtures that maximize the coefficient of performance (COP), an indicator that characterizes the energy efficiency of the cooling system. In addition, the volumetric cooling capacity (qν) was analyzed, which is an important criterion for assessing the overall efficiency of refrigeration systems.
The study analyzed the operation of refrigeration systems, taking into account both subcritical and supercritical conditions. As initial parameters for building a mathematical model, the boiling and condensation/heat removal temperatures were used, which were determined as the average values of the process temperatures in heat exchangers. This approach ensured accurate maintenance of the set temperature in the refrigerating chamber.
The best results were obtained for R744/R600 and R744/R600a blends. R744/R600 in the proportion of 58.5/41.5 % has a COP 36.6 % higher than that of pure R600, and the volumetric cooling capacity increased by 10.2 times. Similarly successful results were demonstrated by the R744/R600a blend with an optimal ratio of 93/7 %, which showed a 39.2 % increase in COP and a 16.8-fold increase in volumetric cooling capacity compared to pure R600a.
However, the study showed that the use of a R744/R290 blend was less efficient due to relatively lower COP and volumetric cooling capacity compared to pure R744. Similar conclusions were drawn for the R744/R170 blend, which also demonstrated lower efficiency compared to pure R744. At the same time, it is noted that in most component ratios, the mixture operates in a supercritical mode. This indicates that it is inexpedient to use such refrigerant blends at the given initial parameters to improve energy efficiency. This result emphasizes the importance of careful selection of blend components to achieve optimal performance.
Overall, the study results demonstrate that the use of R744 blends with R600 and R600a can be a promising alternative to improve the energy efficiency of refrigeration systems. Optimization of the molar fractions can achieve a significant improvement in COP and a significant increase in volumetric cooling capacity, making such blends promising candidates for practical use. However, further development of an in-depth mathematical model that will be close to real operating conditions, as well as experimental studies to verify the actual performance of these blends and identify possible limitations of their use, are required to confirm these conclusions.
EXERGY ANALYSIS OF COAL THERMAL CONVERSION PROCESSES
Authors: Pinchuk V. O. , Sharabura T. A. , Chemerynskyi M. S. , Pinchuk S. A.
Published: December 2024

To develop energy-saving technologies and facilities that use coal, it is essential to evaluate the energy potential of the resulting products. Additionally, it is necessary to determine their suitability for specific technologies, processes, and installations. Alongside the energy method, it is proposed to use the exergy method, which allows for the assessment of not only the quantitative but also the qualitative aspects of thermal conversion processes. Thermal conversion methods such as combustion and gasification are of interest for both energy and industrial applications.
The study includes calculations of the exergy efficiency of coal thermal conversion products, based on which material and exergy balances were compiled for the gasification process under air and oxygen blast conditions, as well as for the combustion process. An analysis was conducted to evaluate the impact of process temperatures on the characteristics of coal thermal conversion products (composition, output, exergy). Additionally, the exergy efficiency coefficients (overall, chemical and physical exergy) for these thermal conversion methods were calculated.
Based on the analysis, optimal operating modes for coal thermal conversion processes were determined, depending on the final goals of the obtained products. The advantages of high-temperature oxygen and air gasification were identified, characterized by low exergy losses (24.9–28.9 %) and high chemical potential (12–13.46 MJ/kg of coal). The exergy efficiency of the oxygen gasification process is 68.3–71.2 %, while for air gasification, it is 70.2–
76.3 %. It was also established that, to achieve the highest fuel utilization efficiency, it is advisable to utilize the heat of the produced syngas. The utilization of 1 MJ/kg of coal from the physical exergy of the gas increases the overall exergy efficiency of air gasification by 3.5 % and that of oxygen gasification by approximately 0.7 %.
A comparison of the exergy efficiency of the processes was conducted, revealing that coal gasification is a more rational method of thermal conversion compared to traditional combustion. This is because the highest losses are observed during the combustion process, with an exergy efficiency of 64.8 %. During coal combustion, irreversible losses account for 35 % of its initial exergy.
The Influence of LCD Media through PjBL-STEM on Critical Thinking Skills
Authors: Widiyono Aan , Ghufron Anik
Published: December 2024

This study investigates the impact of LCD media integrated with Project-Based Learning STEM (PjBL-STEM) on enhancing elementary school science students' critical thinking skills. Despite employing a quantitative approach and true experimental design, further clarification on the practical implementation of PjBL-STEM and the role of LCD media in the learning process would be beneficial. PjBL-STEM engages students in hands-on science projects that promote problem-solving, which is typically essential in elementary-level science curricula. However, "LCD media" lacks specificity, raising questions about whether it encompasses slides, videos, or interactive digital content. Conducted at SDN Wonosalam in Demak Regency, the research targets Grade V students using a saturated sample technique. Pretests and posttests on animal life cycle content were analyzed using the t-test to evaluate the impact of LCD-enhanced PjBL-STEM on critical thinking. Results reveal a significant positive influence, with a 2-tailed significance score of 0.005 (<0.05). Critical thinking indicators reflected high percentages: clarification (83%), assessment (81%), inference (82%), and strategies (85%). Average scores improved from a pretest mean of 68.33 to a posttest mean of 82.67, signifying growth in 21st-century skills, particularly critical thinking. This suggests that LCD-supported PjBL-STEM enhances reasoning and fosters deeper scientific understanding among elementary students.
Innovating Educational Publication Processes: The Role of an Automatic LoA System in JTIP
Authors: Saragih Fadhillah Majid , Tasrif Elfi , Darni Resmi , Giatman M.
Published: December 2024

In this digital era, information technology has become an integral part of almost every aspect of life. In the educational context, this technology also plays an important role in facilitating the publication process of scientific articles that is more valid, practical and effective. This research aims to develop the Padang State University Journal of Information and Educational Technology (JTIP) system, especially the development of an automatic LoA (Letter of Acceptance) system. Previously, the publication management process at JTIP still used manual methods in issuing LoAs. Therefore, it is necessary to develop an automatic LoA issuance system. This research uses the Research and Development (R&D) method with a 4D model approach which includes the Define, Design, Develop and Disseminate stages. The data collection technique was carried out through a questionnaire distributed to 4 validators, 25 authors and 3 editors to test the validity, practicality and effectiveness of the system. Data analysis uses the Aiken's V validity formula to test validity, average percentage to test practicality and effectiveness. The research results show that the automatic LoA system succeeded in shortening the LoA issuance time from 5-7 days to 1 day and obtained an Aiken's V validity value of 0.87 (Valid), an average practical value of 93.5% (Very Practical), and effectiveness value with TCR of 88.8% (Very Good). It is hoped that this research can increase the practicality and effectiveness of the scientific journal publication process, especially in the context of education and technology in Indonesia. The duration of this research lasted for 6 months. Recommendations for future research are to explore the integration of this system with other publication platforms to increase the reach and accessibility of scientific publications.
Transforming Correspondence Learning Through Microlearning-Based Media for Vocational High School Students
Authors: Marisofiyati Marisofiyati , Eryanto Henry , Faslah Roni , Swaramarinda Darma Rika , Yuliawan Rahmat , Rasto Rasto , Muhidin Sambas Ali , Latief M. Jamil , Santoso Jarot Tri Bowo
Published: December 2024

The rapid development of digital technology requires innovative learning media to improve the student learning experience. This study discusses the development of microlearning-based correspondence learning media designed for Vocational High School (SMK) students under the auspices of the Indonesian Association of Scholars and Office Administration Practitioners (Aspapi) in Jakarta area. The main problem in correspondence learning is the limited effective media to increase students' focus and learning independence. Students often have difficulty in structuring sentences when writing letters and are reluctant to think deeply due to the familiarity with informal communication through social media as well as a lack of knowledge of formal correspondence. This research aims to develop microlearning-based learning media in correspondence learning. The method used is Research and Development (R&D) with the Dick & Carey development model, which includes needs analysis to summative evaluation. The respondents in this study are students of Aspapi's partner vocational schools in Jakarta. The results show that microlearning-based learning media significantly increases the effectiveness of correspondence learning. Students demonstrate better comprehension and increased learning independence thanks to concise and directed microlearning content, in accordance with their digital communication habits. Interactive and accessible media design also helps to overcome low literacy competence and student learning motivation.  Based on the above findings, it can be concluded that the development of microlearning-based learning media has proven to be an effective solution in overcoming challenges in correspondence learning. This media is able to improve students' writing skills, critical thinking, and learning independence, so similar innovations are recommended to be applied to other administrative and vocational subjects.
Multimedia as Digital Literacy in Culinary Arts Vocational Learning
Authors: Kandriasari Annis , Yulianti Yeni , Riska Nur
Published: December 2024

Learning media plays an important role in attracting students attention to understand the material. The results of observations of D3 Tata Boga 2017 students showed that only 18 out of 39 students reached the minimum completion criteria (78%) on napkin folding material, with learning resources limited to modules and jobsheets. One of the learning media through computers is using adobe flash player. The use of adobe flash player has not been utilized by the Culinary Study Program for student learning resources on napkin folding material. Based on this fact, learning to make napkin folds requires a stimulus from the lecturer, namely through the development of learning media. This study aims to develop and test the feasibility of interactive multimedia as digital literacy on napkin folding material. This study used R&D with a 4D development model (Define, Design, Develop, and Disseminate). The data analysis technique used the Content Validity Ratio (CVR) method. The interactive multimedia-based program uses Adobe Animate 2019 and Adobe Premiere Pro CC 2019. The interactive multimedia developed consists of several features including an introductory menu, theory, video tutorials, and knowledge test questions as the final score. The results show user validation of 0.41 and are included in the appropriate CVR criteria. Based on the results of the validation of the material expert, the feasibility was obtained at 94.6% and 85.7% for the high feasibility aspect criteria. The results of the media expert validation obtained a feasibility value of 86.4% and 81.8% for the high feasibility aspect criteria. The field group trial consisting of 30 culinary program students obtained results of 84.38% and were included in the feasibility criteria. It is concluded that interactive multimedia as digital literacy is declared “suitable” as a learning resource in the Food and Beverage Service course.
Automated Assessment of Students' Attitudes and Academic Resilience Through Learning Management System Data Integration
Authors: Dianti Eka Aprilia  , Sutadi Triputra  , Rika Dwi Agustiningsih  , Aila Gema Safitri
Published: December 2024

One of the online platforms used to support learning activities is the Learning Management System (LMS). LMS supports the evaluation of cognitive aspects but not affective ones. As learning is mostly asynchronous, it presents challenges for lecturers in assessing students' attitudes. However, LMS generates data that can potentially be used to evaluate student attitudes and academic resilience. With the system log on the LMS, we can process data into information on the level of understanding, learning attitude, and persistence of students. This research is related to the design of an analytic dashboard that is integrated with LMS using Moodle. The dashboard will display an evaluation of student learning activities from the attitudinal aspects of motivation, discipline, responsibility, and academic resilience aspects consisting of persistence, reflecting and asking for help, and negative affect and emotional response. The study involved 160 new students, with data collected from 130 participants. The method used is a Research and Development (R&D) approach, which includes three stages: introduction, development, and testing. Data triangulation was used for validation by comparing online assessments with student self-evaluations. The final stage visualizes the results of system log analysis through the analytic dashboard. Findings showed that motivation scores from self-assessment correlated with LMS data, while discipline and responsibility assessments yielded different results. Academic resilience measures also showed discrepancies between student and mentor assessments. This research highlights the potential to visualize affective learning aspects within LMS platforms, providing lecturers with valuable insights into both cognitive and affective dimensions of student performance.
No-reference digital image quality assessment of offline signature
Authors: Golub Y. I.
Published: December 2024

The purpose of this paper is to develop a simple criterion for image quality assessment of a signature scanned from a paper (i. e., a static or offline signature). A new approach to no-reference assessment of the quality of a binary signature image is proposed, which can be useful as a tool for monitoring signature samples in biometric recognition systems to control data quality. For example, it can be used during image registration, selection of processing methods and its parameters adjustment, after performing various operations (such as rotation or scaling) and the need to evaluate and analyze the obtained signature images. The paper also describes factors that can negatively affect the quality of a static signature. The experimental analysis was performed on digital images of signatures available in the CEDAR, BHSig260-Bengali, SigComp2009 databases and images collected during the research.
Plan de Negocios para la comercialización de camas para perros hechas de bambú vía online en Lima Metropolitana
Authors:   , Tadeo Zevallos Elesmey Dayana , Canchari Falcon Anthony , Neyra Cusacani Ruth Alexandra , Ticona Alcahua Luis Alberto , Herrera Quispe Gloria
Published: December 2024

El presente trabajo de investigación tiene por finalidad formular un plan negocio que permita ayudar de manera eco amigable a las mascotas de nuestras familias, esto nos ayudará lograr objetivos necesarios para que nuestra empresa siga creciendo, liderando el mercado como empresa sostenible económica, social y ambientalmente. Para tal efecto, nuestra meta es ofrecer productos sostenibles y de buena calidad a precios competitivos - concilie las expectativas y prioridad, como también que involucrar a proveedores, activistas y stakeholders interesados en las operaciones y rendimiento de la empresa. El entorno en el cual la empresa opera es particularmente fascinante debido a que, durante la pandemia, se ha delineado un contexto peculiar donde las personas valoraron mucho al ser querido, especialmente a las mascotas, el efecto de la pandemia generar ventas vía online de diferentes lugares del mundo, lo cual esto nos familiariza en nuestro proyecto. Se realizarán diversos eventos para promocionar nuestra marca, lo cual permitirá que nuestra empresa se haga atractiva y permita más oportunidades de ampliar en realizar diferentes productos con esta fibra de bambú, aprovechando el crecimiento de la Comunidad.
Legal Awareness and Practical Approaches to Halalan Thayyiban Compliance
Authors: Rahmatika Sania Dina , Bashori Yudhi Achmad
Published: December 2024

This study analyzes the understanding and implementation of the halalan thayyiban principle by street vendors in Ponorogo, Indonesia from a legal awareness perspective. Despite its importance in Islamic teaching, initial observations show that many vendors have not fully implemented this standard. Using an empirical law-based qualitative method, data were obtained through interviews, documentation, and observation and then analyzed inductively. The results revealed two categories of understanding: traders who understand halal in terms of substance, method of acquisition, and processing, and traders who equate thayyib with halal. Their strategies to maintain halalan thayyiban include maintaining cleanliness and using ingredients that are believed to be halal, but many have not met formal guidelines such as halal certification. Legal awareness is still low, although legal behaviors such as maintaining cleanliness have been implemented. This study highlights the need for government socialization and education to support traders in understanding and applying the principles of the halalan thayyiban. This research contributes to the development of halal policies in the informal sector and to understanding the role of legal awareness in micro businesses in Indonesia.
Pr and Pfr structures of plant phytochrome A
Authors: Hughes Jon , Nagano Soshichiro , Guan Kaoling , Chen Peng-Yuan , von Stetten David , Song Chen , Barends Thomas , Weiss Manfred , Feiler Christian , Dörner Katerina , de Diego Iñaki , Schubert Robin , Bielecki Johan , Brings Lea , Kim Chan , Han Huijong , Kharitonov   Konstantin , Koliyadu Jayanath , Koua Faisal , Round Ekaterina , Sarma Abhisakh , Sato Tokushi , Kloos Marco , Valerio Joana , Wrona Agnieszka , Schmidt Christina , de Wijn Raphael , Letrun Romain , Mancuso Adrian , Bean Richard , Heyne Karsten , Schulz Joachim
Published: December 2024

Phytochromes are biliprotein photoreceptors widespread amongst microorganisms and ubiquitous in plants where they control developmental processes as diverse as germination, stem elongation and floral induction through the photoconversion of inactive Pr to the Pfr signalling state. Here we report crystal structures of the chromophore-binding module of soybean phytochrome A, including 2.2Å XFEL structures of Pr and Pfr as well as high resolution cryogenic structures of Pr. In the Pfr structure, the chromophore is exposed to the medium, the D-ring remaining α-facial following the likely clockwise photoflip. The chromophore shifts within its pocket, while its propionate side chains, their partners as well as three neighbouring tyrosines shift radically. Helices near the chromophore show substantial shifts that might represent components of the light signal. These changes reflect those in bacteriophytochromes despite their quite different signalling mechanisms, implying that fundamental aspects of phytochrome photoactivation have been repurposed for photoregulation in the eukaryotic plant. (150 words)
Lysine-Specific Demethylase 1 (LSD1) Modulates Hypoxia and Antitumor Immunity Pathways in Triple Negative Breast Cancer
Authors: Iqbal Jabed , Lee Dong Yeul , Hong Jing Han , Guan Peiyong , Lee Bernett , Perna Stefano , Cui Jianzhou , Chen Jin Miao , Yeong Joe Poe Sheng , Tan Puay Hoon , Teh Bin Tean , Lim Johnathan , Lin Chenshi
Published: December 2024

Epigenetic alterations can disrupt gene functions and lead to cellular neoplastic transformation, significantly contributing to cancer initiation and progression, including triple-negative breast cancer (TNBC). Inhibitors of lysine-specific demethylase 1 (LSD1) have shown potential antineoplastic activity, yet their utility as a biomarker and specific roles in TNBC remain underexplored. Utilizing tissue microarrays from 389 TNBC patients at Singapore General Hospital, we performed immunohistochemical analysis of LSD1 and integrated our findings with data from three additional cohorts (TCGA, METABRIC, FUSCC). Our results reveal that elevated LSD1 levels correlate with poorer survival outcomes in TNBC patients. Mechanistically, LSD1 was found to activate HIF-1/VEGFA signaling and impair cell cycle regulation, thus promoting tumor progression. The causal role of LSD1 was validated through functional assays, RNA-sequencing, and ChIP-sequencing on human breast cell lines and patient-derived xenograft organoids. Additionally, employing digital spatial profiling with whole transcriptome analysis, we discovered that LSD1 overexpression dampens immune-cell profiles and anti-tumor immunity pathways. Overall, our findings elucidate the oncogenic role of LSD1 in TNBC, highlighting implications for potential therapeutic avenues to regulate tumor immunity dynamics and improve patient outcomes.
Challenges of Sustainable Food Security in Iran: Using Grounded Theory and AHP
Authors: Asadi Sharareh , Noorivandi Azadeh Noorollah , Ommani Ahmad Reza , Sabouri Mohammad Sadegh
Published: December 2024

The purpose of this research is identifying and prioritize the challenges of sustainable food security in Iran. This research has been conducted from June 2022 to April 2023 to provide a comprehensive, and applied model to understand the challenges through Grounded Theory (GT) and Analytic Hierarchy Process (AHP) in Khouzestan province, Iran. This research is an applied type of research. The data were collected by performing focus group and brain storming techniques with the 35 agricultural experts in this field. Data analysis was done by using MAXQDA12 software in three steps: open, axial and selective coding. The results of this study by GT identified 34 initial codes and seven main following challenges were categorized and by AHP prioritized: low production efficiency and lack of attention to extension of the favorable consumption pattern, lack of facility support and empowerment for the development of agricultural products, failure to monitor production diversity and proper cultivation pattern, little attention to the criteria of sustainable agricultural development in production, lack of attention to the development of transformation and complementary industries and the production of healthy products with a knowledge-based approach, unfavorable economic conditions for access and continued consumption of healthy food and lack of necessary export platforms and lack of monitoring of illegal imports. Finally applied recommendations were presented to reduce the existing challenges.
Bibliometric analysis of extracellular vesicles in osteoarthritis
Authors: Liao Ga , XIe Hongyu , Kang Lunwei , Zhao Lin , Meng Weikun
Published: December 2024

Osteoarthritis (OA) is a common degenerative joint disease with complex risk factors and an unclear pathogenesis. The onset is insidious, with mild early symptoms, and the disease progression is irreversible. Current treatment options cannot completely cure the disease. Therefore, the development of novel therapeutic approaches and early prevention strategies is crucial for alleviating the disease burden and enhancing the quality of life for patients with OA. Extracellular vesicles (EVs) naturally possess biocompatibility and low immunogenicity, showing significant potential in drug delivery and cell-free therapy. To comprehensively understand the research status and application prospects of EVs in OA, this review employs bibliometric methods to explore the development and collaboration patterns within this research field, current significant research statuses, and emerging directions. Additionally, it thoroughly reviews the mechanisms of EVs in OA, and the integration of EVs with engineering technologies and biomaterials to enhance their efficacy in OA treatment. The goal is to provide scientific evidence and references for the development of OA therapies and the clinical application of EVs.
Hydride Formation Pressures and Kinetics in Individual Pd Nanoparticles with Systematically Varied Levels of Plastic Deformation
Authors: Langhammer Christoph , Andersson Carl , Zimmermann Jonathan , Fritzsche Joachim , Rabkin Eugen
Published: December 2024

Pd nanoparticles, together with bulk and thin film Pd, constitute the archetype model system for metal-hydrogen interactions. The density of defects in Pd nanoparticles, such as grain boundaries and dislocations, combined with their size, shape, composition and lattice strain, dictate their hydrogen sorption kinetics and thermodynamics. Despite decades of research and its relevance in applications, such as solid-state hydrogen storage, hydrogen sensors, hydrogen embrittlement, and hydrogen separation membranes, a coherent picture of the intricate interplay between defects, strain and Pd nanoparticle hydrogen sorption properties is missing. Here, we employ a combination of single particle nanocompression, single particle plasmonic nanoimaging and high-resolution cross-sectional single particle TEM imaging to investigate hydrogen absorption kinetics and hydride phase formation pressures in a nanofabricated array of Pd nanoparticles on sapphire substrate with systematically varied levels of plastic deformation – and thus defects and strain. We not only show a clear deformation-level dependent trend of both the kinetics and the hydride formation pressure, but also reveal their complex evolution upon hydrogen cycling. We discuss how these results provide a quantitative view of the impact of plastic deformation on nanoscale metal hydrides, and how they reveal the surface and bulk morphology of Pd nanoparticles upon repeated hydrogen cycling.
CIDEA promotes lipid deposition through focal adhesion pathway in goat intramuscular preadipocytes
Authors: Shao Peng , Li Qi , Liao Yu , Wang Yong , Lin Yaqiu , Xiang Hua , Du Zhanyu , Zhang Changhui , Zhu Jiangjiang , Huang Lian
Published: December 2024

Intramuscular fat (IMF) content determines the quality of goat meat, and is strongly associated with the number and volume of adipocytes, which is regulated by the comprehensive effect of proliferation and adipogenesis of intramuscular preadipocytes. Cell death-inducing DNA fragmentation factor alpha (DFFA)-like effector (CIDE) proteins has emerged as lipid droplets (LDs)-related proteins, implying the important roles in lipid homeostasis. However, the mechanism through which CIDEA, one member of CIDE family, regulates intramuscular fat deposition remains unclear. To address this, we dysregulated CIDEA in intramuscular preadipocytes and resolved the effect and mechanism of CIEDA in adipogenesis through RT-PCR, Western blot, triglyceride and LDs determinations, CCK-8 and RNA-seq. It was found that CIDEA increased LDs and triglyceride contents and inhibited cell proliferation. Lipid metabolism-related genes PPARγ, C/EBPα, SREBP1c, PLIN1, TIP47, ADFP, DGAT1, ACC, FASN, ACSL1, FABP3 were upregulated after CIDEA overexpression. Moreover, lipolysis and β oxidation genes HSL, ACOX1, CPT1B and proliferation marker genes CDK1 were upregulated. Differentially expressed genes in RNA-seq results were selected and enriched in the apelin and focal adhesion signaling pathways. Specifically, CIDEA regulated the activation of focal adhesion kinase and AKT signaling proteins, but not p38 signaling. To this end, we did the rescue assay and found that suppressing focal adhesion kinase signaling pathway with PF573228 reversed the lipid droplets and triglyceride contents increase induced by CIDEA overexpressing and further decreased their contents in CIDEA interfering group. In summary, this study reveals that CIDEA promotes lipid deposition in intramuscular preadipocytes through the focal adhesion pathway and inhibiting the cell proliferation. These works clarify the functional role and downstream signaling pathway of CIDEA in intramuscular fat deposition and provide theoretical support for improving meat quality through manipulating phenotype-related key genes.
EDM ECM composite processes of high-quality small hole with large aspect ratio using surface protection and low-voltage assistance
Authors: Chen Haisheng , Yang Xuguang , Yue Xiaoming
Published: December 2024

Traditional machining methods face many problems in machining small holes with large aspect ratio on the difficult-to-machine materials. At present, EDM ECM composite processes is still one of the most promising methods to achieve high-efficiency, high-quality and high-precision machining of deep and small holes on difficult-to-machine materials. In this study, small holes with large aspect ratio were machined using axial-radial composite electrolytic tube electrodes. However, due to the unstable state of the working fluid under high pressure in the EDM ECM composite processes, the inlet machining surface was severely corroded by stray corrosion. After the tube electrode penetrated the workpiece, the working fluid was missing, resulting in a recast layer remaining on the hole wall at the outlet of the hole. Furthermore, as the hole depth increased, the electrolysis time of the hole wall surface decreased accordingly, resulting in large diameter differences between the inlet and outlet of micro hole. In order to realize the high-quality and high-precision machining of small holes with large aspect ratio, this study proposed a EDM ECM composite processes of high-quality small hole with large aspect ratio using the surface protection and low-voltage assistance among the high-voltage pulses. Experimental results show that small holes with almost zero taper (less than 0.01°) can be successfully machined by using the surface protection and low-voltage assistance. The workpiece surface at the inlet of deep hole was smooth and no obvious traces of stray corrosion was found. In addition, there was no EDM residue on the hole wall surface at the outlet of deep hole, and the line roughness Ra of the hole wall surface was less than 0.2 µm. The method proposed in this study has a broad application prospect for machining high-quality and high-precision small holes with large aspect ratio on difficult-to-machine materials.