bluuebunny/crossref_metadata_2025 huggingface dataset:
Mock-up performance evaluation study for crack reduction of blast furnace slag powder concrete mixed with expansive and swelling admixtures
Authors: Yoon Sanghyuck , Choi Wonyoung , Jeon Chansoo
Published: January 2024

In this study, the drying shrinkage and crack reduction characteristics of blast furnace slag concrete mixed with expansive and swelling admixtures were investigated. Basic performance experiments were conducted using different mixtures of ground granulated blast-furnace slag (GGBS), with calcium sulfoaluminate as the expansive admixture and bentonite and hydroxypropyl methyl cellulose (HPMC) as swelling admixtures. Bentonite outperformed HPMC as a swelling admixture. Specimens were then prepared for mock-up tests to evaluate the drying shrinkage of blast furnace slag concrete with different combinations of bentonite, a hardening accelerator, and a self-healing agent. The addition of bentonite and calcium phosphate as a self-healing agent in small quantities reduced the drying shrinkage of the specimens, thereby reducing cracks. The cement mixture composed of 30% GGBS, 1% bentonite, and 1% calcium phosphate (30-E1-I1) showed the optimal performance among the specimens. Further, crack monitoring was performed in concrete made with ordinary Portland cement and optimal mixture 30-E1-I1. No cracks were observed for the optimal mixture. This shows that GGBS concrete can be used in practical and field applications, subject to mid- and long-term tests for cracking.
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Authors: Babaei Rikan Samin , Sorayaie Azar Amir , Naemi Amin , Bagherzadeh Mohasefi Jamshid , Pirnejad Habibollah , Wiil Uffe Kock
Published: January 2024

In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database to predict the glioblastoma patients’ survival outcomes. To assess dataset skewness and detect feature importance, we applied Pearson's second coefficient test of skewness and the Ordinary Least Squares method, respectively. Using two sampling strategies, holdout and five-fold cross-validation, we developed five machine learning (ML) models alongside a feed-forward deep neural network (DNN) for the multiclass classification and regression prediction of glioblastoma patient survival. After balancing the classification and regression datasets, we obtained 46,340 and 28,573 samples, respectively. Shapley additive explanations (SHAP) were then used to explain the decision-making process of the best model. In both classification and regression tasks, as well as across holdout and cross-validation sampling strategies, the DNN consistently outperformed the ML models. Notably, the accuracy were 90.25% and 90.22% for holdout and five-fold cross-validation, respectively, while the corresponding R2 values were 0.6565 and 0.6622. SHAP analysis revealed the importance of age at diagnosis as the most influential feature in the DNN's survival predictions. These findings suggest that the DNN holds promise as a practical auxiliary tool for clinicians, aiding them in optimal decision-making concerning the treatment and care trajectories for glioblastoma patients.
Persistence of foliar applied and pre-storage seed-treated insecticides in rice and its processed products
Authors: Suganthi A. , Vigneshwari R. , Sathiah N. , Senthil Kumar M. , Sivamurugan A. P. , Thangachamy P. , Ilango S. S. , Madhu Sudhanan E. , Karthik P. , Shanthi M.
Published: January 2024

A field study was conducted to investigate the persistence of foliar-applied thiamethoxam 25% WG at a rate of 25 g ai ha−1 and chlorantraniliprole 18.5% SC at 30 g ai ha−1 in various parts of rice plants, including whole grain rice, brown rice, bran, husk, straw, and cooked rice. Liquid Chromatography-Mass spectrometry/Mass spectrometry was used for sample analysis. Chlorantraniliprole residues were found to persist in whole grains, bran, husk, and straw at the time of harvest, while thiamethoxam residue was not detected in harvested grains, processed products, or straw. The study concluded that foliar-applied chlorantraniliprole and thiamethoxam did not pose any dietary risk in cooked rice. In a pre-storage seed treatment study, thiamethoxam 30% FS at 3 mL kg−1 was evaluated against Angoumois grain moth infestation during storage. The seeds remained unharmed for nine months and exhibited significantly less moth damage (2.0%) even after twelve months of storage. Thiamethoxam residues persisted for more than one year in whole rice grain, brown rice, bran, and husk with seed treatment, with higher residue levels observed in bran and husk. Parboiling and cooking led to the degradation of thiamethoxam residues.
Perinatal and childhood outcomes of children born to female cancer survivors in South Korea
Authors: Jin Ju Hyun , Youk Tae Mi , Yun Jisun , Heo Ja Yoon
Published: January 2024

Despite the increasing number of female cancer survivors, uncertainty remains regarding potential adverse health outcomes for their offspring. Comprehensive population-based studies would be invaluable for female cancer survivors in making decisions about their future. This study uses the National Health Information Database to investigate perinatal and long-term outcomes of offspring born to mothers with a history of cancer. In a South Korean cohort of 95,264 women aged 15–40 diagnosed with cancer between 2007 and 2010, we evaluated the outcomes of 15,221 children born to 11,092, cancer survivors. We selected 147,727 women without a history of cancer and 201,444 children as a control group. Our study found that children of female cancer survivors have a significantly higher odds ratio of primary outcomes including preterm birth, low birth weight, neonatal intensive care unit admission, and death. While there was no difference in the rate of death within 1 year of birth between the two groups, the total death rate during the follow-up period was significantly higher in children born to mothers with cancer. After adjusting for gestational age and birth weight, there was no statistically significant increased hazard ratio of secondary outcomes including cancer, chromosomal abnormalities, cerebral palsy, delayed development, epilepsy, language disorder, or hearing impairment.
First-principles study of an efficient non-noble metal single-atom catalyst Fe1/TiVCO2 for CO oxidation
Authors: Zhang Yongkang , Su Kaibin , Wang Yuhang , Wang Fengping
Published: January 2024

MXenes, a class of two-dimensional layered materials of transition metal carbides, nitrides, and carbonitrides, have piqued the interest of researchers due to their unique physical and chemical properties.
Effects of Ni loading and Ce doping on a CaO-based dual function material for integrated carbon capture and in situ methanation
Authors: Zhang Yiran , Li Linjia , Zhao Shu , Feng Jiaqi , Li Ke , Huang Zhen , Lin He
Published: January 2024

A Ni/CeNiCa dual-function material featuring a Ce promoter and Ni pre-doping shows an impressive CO2 capture capacity and in situ CH4 production.
Cobalt(iii)-containing penta-dentate “helmet”-type phthalogens: synthesis, solid-state structures and their thermal and electrochemical characterization
Authors: Al-Shewiki Rasha K. , Weheabby Saddam , Uhlig Nell , Korb Marcus , Pester Tom , Zahn Stefan , Grecchi S. , Mussini P. R. , Rüffer Tobias , Lang Heinrich
Published: January 2024

Bulk quantities of “helmet” type phthalogens are now achievable with broad variation of their substituents allowing to study their thermal and electrochemical decomposition to CoPcs.
Direct conversion of thermal energy to stored electrochemical energy via a self-charging pyroelectrochemical cell
Authors: Kowalchik Tim , Khan Fariha , Horlacher Danielle , Roundy Shad , Warren Roseanne
Published: January 2024

The concept of a pyroelectrochemical cell (PEC) as a self-charging power source for Internet of Things (IoT) sensors is explored through experimentation and simulation.
Tunable 2-D magnonic crystals: effect of packing density
Authors: Tian C. , Adeyeye A. O.
Published: January 2024

Magnetic antidot nanostructures, representing 2-D magnonic crystals, are versatile platforms for controlling and manipulating spin waves at the nanoscale. We investigate the effects of inter-hole packing density on the dynamic properties.
Boron nanosheets boosting solar thermal water evaporation
Authors: Zhang Xin Stella , Mao Shudi , Wang Jiashu , Onggowarsito Casey , Feng An , Han Rui , Liu Hanwen , Zhang Guojin , Xu Zhimei , Yang Limei , Fu Qiang , Huang Zhenguo
Published: January 2024

Boron nanosheets improve evaporation rates of hydrogel-based solar vapour generators. The extensive B–O bonds lead to high energy conversion efficiency and reduce water evaporation enthalpy. The system also shows high salt resistance and high durability.
Fast relaxing sustainable soft vitrimer with enhanced recyclability
Authors: Rohewal Sargun Singh , Kanbargi Nihal , Young Rebecca , Kearney Logan T. , Damron Joshua T. , Hinton Holly , Tetard Laurene , Naskar Amit K.
Published: January 2024

Soft, fully renewable vitrimers have been introduced to circumvent the lack of recyclability of traditional elastomers with permanent cross-linked structures, while preserving the advantages of rheo-structural stability, and mechanical properties.
Effect of hydrophobized PET TeMs membrane pore-size on saline water treatment by direct contact membrane distillation
Authors: Yeszhanov Arman B. , Korolkov Ilya V. , Güven Olgun , Melnikova Galina B. , Dosmagambetova Saule S. , Borissenko Alexander N. , Nurkassimov A. K. , Kassymzhanov Murat T. , Zdorovets Maxim V.
Published: January 2024

This paper describes the desalination process by membrane distillation (MD) using track-etched membranes (TeMs).
Novel spectrofluorometric approach for assessing vilazodone by blocking photoinduced electron transfer: analytical performance, and greenness–blueness evaluation
Authors: Derayea Sayed M. , Elhamdy Hadeer A. , Badr El-Din Khalid M. , Oraby Mohamed
Published: January 2024

Blocking photoinduced electron transfer through protonation of the piperazine nitrogen atom using a buffer (pH 3.5).
Effects of Mn doping on electronic and quantum transport in PbPdO2 thin films
Authors: Zeng Liqiang , Guo Wenti , Jia Hai , Chen Yue , Chen Shuiyuan , Zhang Jian-Min , Huang Zhigao
Published: January 2024

We firstly achieved significant regulation of the colossal electroresistance (CER) by ion doping in PbPdO2 thin films. Combined with DFT calculation, we elucidate the underlying mechanism of its influence.
Research progress on the surface modification of carbon fiber
Authors: Peng Xingcai , Wu Yifan , Wei Ziming
Published: January 2024

The surface of carbon fiber (CF) does not contain polar groups, so the binding force between the CF and most polymer resins is weak. The surface modification of CF increases the active particles or sites on the surface of CF to enhance the bonding strength between fibers and resins.
Rapid screening of molecular beam epitaxy conditions for monoclinic (InxGa1−x)2O3 alloys
Authors: Schaefer Stephen , Febba Davi , Egbo Kingsley , Teeter Glenn , Zakutayev Andriy , Tellekamp Brooks
Published: January 2024

High-throughput MBE with cyclical growth and in situ etch increases experimental throughput by approximately 6× and substrate utilization by >40×.
Prior oxidation of Ni substrates increases the number of active sites in Ni3S2 obtained by sulfidation and enhances its multifunctional electrocatalytic activity
Authors: Sengeni Anantharaj , Noda Suguru
Published: January 2024

Pre-oxidation of Ni substrates before sulfidation resulted in a highly active multifunctional anode catalyst capable of ensuring energy-saving hydrogen production by water-small molecule coelectrolysis.
From biomass-derived furans to aromatic compounds: design of Al–Nb-SBA-15 mesoporous structures and study of their acid properties on catalytic performance
Authors: Elías Verónica R. , Ferrero Gabriel O. , Idriceanu Madalina G. , Eimer Griselda A. , Domine Marcelo E.
Published: January 2024

Renewable p-xylene was successfully attained via aromatization reaction of bio-derived 2,5-DMF with ethylene over Al–Nb-SBA-15 mesoporous materials with enhanced acid properties.
Correction: Differences in carotid to femoral pulse wave velocity and carotid intima media thickness between vegetarian and omnivorous diets in healthy subjects: a systematic review and meta-analysis
Authors: Saz-Lara Alicia , Battino Maurizio , del Saz Lara Andrea , Cavero-Redondo Iván , Dávalos Alberto , de Las Hazas María-Carmen López , Visioli Francesco , Lucerón-Lucas-Torres Maribel , Giampieri Francesca
Published: January 2024

Correction for ‘Differences in carotid to femoral pulse wave velocity and carotid intima media thickness between vegetarian and omnivorous diets in healthy subjects: a systematic review and meta-analysis’ by Alicia Saz-Lara et al., Food Funct., 2024, https://doi.org/10.1039/D3FO05061K.
The Synergistic Effects of Preterm Birth and Parent Gender on the Linguistic and Interactive Features of Parent–Infant Conversations
Authors: Coughlan Sarah , Quigley Jean , Nixon Elizabeth
Published: January 2024

Purpose:

To investigate the language environments experienced by preterm-born infants, this study compared the linguistic and interactive features of parent–infant conversations involving 2-year-old preterm- and term-born infants. The study also explored how mother–infant and father–infant conversations may be differentially affected by preterm/term birth status.

Method:

Twenty-two preterm-born (< 37 weeks' gestation) and 25 term-born (≥ 37 weeks' gestation) 2-year-old infants engaged in dyadic mother/father–infant free-play interactions that were transcribed to quantify the linguistic (parental volubility, speech rate, lexical diversity, and morphosyntactic complexity) and interactive (infant/parent responsiveness, turn-taking, and conversational balance) features of parent–infant conversations. Language, cognitive, socioemotional, and executive function skills were assessed via standardized tools.

Results:

Compared to the term group, the preterm group was characterized by lower maternal speech rate, parental lexical diversity, and parent–infant turn-taking, as well as greater mother–infant conversational balance. The preterm group presented poorer language and executive function skills when compared to the term group.

Conclusions:

Both similarities and differences exist between the language environments of preterm and term groups. Similarities may be due to the partial developmental catch-up of preterm-born infants (cognitive and socioemotional skills) and parental scaffolding. Differences may partly reflect a parental adaptation to the language and executive function difficulties of preterm-born infants. These findings suggest that researchers/clinicians should appraise the language environment with respect to the unique developmental needs of preterm/term-born infants. Future research directions are provided to advance a more holistic characterization of the language environment and a deeper understanding of the developmental significance of preterm–term differences in such environments.

Supplemental Material:

https://doi.org/10.23641/asha.25021931
Measuring Linguistic Growth in Sentence-Level Writing Curriculum-Based Measures: Exploring Complementary Scoring Methods
Authors: Reno Emily A. , McMaster Kristen L.
Published: January 2024

Purpose:

Picture–word writing curriculum-based measures (PW CBM-Ws) are technically sound, formative measures of descriptive, sentence-level writing but cannot estimate underlying linguistic skills. The purpose of this exploratory alternative scoring investigation was to apply metrics from language sample analysis (LSA) to PW CBM-Ws as a complementary measure of underlying language skills in beginning writers' sentence-level writing.

Method:

LSA metrics were applied to 104 typically developing first through third graders' PW CBM-W samples across fall and spring semesters. Factorial analyses of variance with post hoc Bonferroni pairwise comparisons were applied after obtaining alternate-form reliability and criterion-related validity estimates.

Results:

Analyses revealed reliable discrimination between grades and significant growth between fall and spring semesters for three LSA metrics: mean length of T-unit in words, mean length of T-unit in morphemes, and number of different words. While mean length of T-unit in words and morphemes demonstrated evidence of discrimination and growth in first grade only, number of different words showed evidence of reliable discrimination and growth in first and third grades.

Conclusions:

Mean length of T-unit in words, mean length of T-unit in morphemes, and number of different words showed evidence of adequate criterion-related validity, discrimination among grades, and sensitivity to growth when calculated using PW CBM-W samples to gauge underlying linguistic skills in first- and third-grade students. Implications and future directions for research are discussed.

Supplemental Material:

https://doi.org/10.23641/asha.25050290
Mass density profiles at kiloparsec scales using the sub-millimetre galaxies magnification bias
Authors: Crespo D. , González-Nuevo J. , Bonavera L. , Cueli M. M. , Casas J. M.
Published: January 2024

Context. Gravitational lensing is a powerful tool for studying the distribution of mass in the Universe. Understanding the magnification bias effect in gravitational lensing and its impact on the flux of sub-millimetre galaxies (SMGs) is crucial for accurate interpretations of observational data.

Aims. This study aims to investigate the magnification bias effect in the context of gravitational lensing and analyse the mass density profiles of different types of foreground lenses, including quasi-stellar objects (QSOs), galaxies, and galaxy clusters. The specific goals are to compare the lens types, assess the impact of angular resolution on the analysis, and determine the adequacy of theoretical mass density profiles in explaining the observed data.

Methods. The magnification bias was estimated using the cross-correlation function between the positions of background SMGs and foreground lens samples. Stacking techniques were employed to enhance the signal at smaller angular separations, and the more precise positions from the WISE catalogue were utilised to improve positional accuracy. Four different theoretical mass density profiles were analysed to extract additional information.

Results. The cross-correlation measurements revealed distinctive central excess and outer power-law profiles, with a lack of signal in the intermediate region. The lens types exhibited varying signal strengths, with QSOs producing the strongest signal and galaxy clusters showing weaker signals. The analysis of mass density profiles indicated limitations in the selected profiles’ ability to explain the observed data, highlighting the need for additional considerations. The lack of extended emission in the QSO sample suggested possible influences from close satellites along the line of sight in the other lens types.

Conclusions. The study provides valuable insights into the magnification bias effect and mass density profiles in gravitational lensing. The results suggest the presence of isolated galactic halos and the importance of considering environmental factors and close satellites in future investigations. The derived masses and best-fit parameters contribute to our understanding of lensing systems and provide constraints on the nature of central galaxies. Notably, the intriguing lack of signal around 10 arcsec challenges current understanding and calls for further quantitative analysis and confirmation of the observed feature.
Owens Valley Radio Observatory monitoring of LS I +61°303 completes three cycles of the super-orbital modulation
Authors: Jaron F. , Kiehlmann S. , Readhead A. C. S.
Published: January 2024

Context. The high-mass X-ray binary LS I +61°303 is composed of a Be-type star and a compact object in an eccentric orbit. The emission from this source is variable and periodic across the electromagnetic spectrum, from radio to very high-energy γ rays. The orbital period has been determined as P1 ≈ 26.5 d, and the source also features a super-orbital period with a value of Plong ≈ 4.6 years. Long-term monitoring of the binary by the Owens Valley Radio Observatory (OVRO) at 15 GHz has now completed 13.8 years, which corresponds to three full cycles of the super-orbital period. This is exactly one long-term cycle more than in the previous publication about OVRO observations of this source.

Aims. Our aim is to investigate the presence and the stability of periodic signals in the radio data and to test if they are in agreement with previous results. This will contribute to the understanding of the physical processes behind the non-thermal emission from this source.

Methods. We performed a timing analysis of the OVRO radio light curve and made use of the generalized Lomb-Scargle periodogram. We also combined the OVRO data with the full archive of previous radio observations and computed the discrete autocorrelation function.

Results. The most powerful features in the periodogram of the OVRO data are two peaks at P1 = 26.49 ± 0.05 d and P2 = 26.93 ± 0.05 d, which are well separated from each other and clearly stand out above the very low noise level. The previously detected long-term period is still present in these new radio data, and our measurement is Plong = 1698 ± 196 d. Dividing the OVRO data into three segments of equal length showed that the two periods, P1 and P2, are present in the periodogram of each of the consecutive long-term cycles. Our analysis of the full radio archive resulted in the detection of the same three periods, and the autocorrelation function showed a regular pattern, proving the continuity of the decades-spanning stability of the super-orbital modulation. In addition, we report a possible systematic modulation of the radio flux density with a timescale of approximately 40 years that has so far remained unnoticed.

Conclusions. The physical model of a relativistic jet whose mass loading is modulated with the orbital period P1 and is precessing with the slightly larger period P2, giving rise to a beating with period Plong, had previously been able to reproduce the radio and gigaelectron volt emission from this source. The ongoing presence and the stability of the periodic signals imply that this model is still the most plausible explanation for the physical processes at work in this source.
A new catalog of magnetically active solar-like oscillators
Authors: Corsaro E. , Bonanno A. , Kayhan C. , Di Mauro M. P. , Reda R. , Giovannelli L.
Published: January 2024

We present a new catalog of stars for which detected solar-like oscillations and magnetic activity measurements from chromospheric spectroscopic observations are both available. Our results were obtained by exploiting NASA TESS mission light curves for active stars observed within the Mount Wilson Observatory HK project and the HK survey of the Hamburg Robotic Telescope TIGRE. We analyzed the light curves for a total of 191 stars by adopting recent techniques based on Bayesian analysis and model comparison to assess the detection of a power excess originating from solar-like oscillations. We characterized the oscillations in a total of 34 targets, for which we provide estimates for the global asteroseismic parameters of νmax (the frequency of maximum oscillation power), Δν (the large frequency separation), and for the amplitude of the solar-like oscillation envelope Amax. We provide strong statistical evidence for the detection of solar-like oscillations in 15 stars of our sample, identify six further stars where a detection is likely, and 13 stars for which oscillations cannot be ruled out. The key parameters extracted in this work will be exploited for a detailed stellar modeling of the targets and to calibrate relations that connect the level of the measured magnetic activity to the suppression induced on the global oscillation amplitudes. This opens the possibility of shedding light on the interplay between magnetic fields and oscillations. Because of their relatively high brightness, the targets may also be of interest for future dedicated follow-up observations using both photometry and spectropolarimetry.
Ethnobotany of Javanese Medicinal Plants in Batumarta VI, South Sumatra
Authors: Winandari Ovi Prasetya , Saputri Dwijowati Asih , Yuliani Dwi Ristika
Published: January 2024

The people of South Sumatra still maintain the customs and customs of each tribe, both immigrant and native tribes. One of the immigrant tribes that still preserves its culture is the Javanese tribe. This research aims to find out what plants, processing methods, UV (Use Value) and FL (Fidelity Level) values of plants are used as traditional medicine for Javanese people in Batumarta VI Village, South Sumatra. Data collection in this research was carried out using observation, interviews and documentation techniques. The research results showed that there were 52 species of plants used as traditional medicine from 24 plant families. The plants most widely used in medicine are the Zingiberaceae family. Plant parts used include stems, leaves, roots, fruit, flowers, seeds and rhizomes. The processing method is by boiling, brewing, kneading, grating, dripping, cooking, squeezing, pounding, soaking and rubbing. The highest UV (Use Value) and FL (Fidelity Level) values are for turmeric plants with values respectively 0.13 and 68%
Implementing Computational Thinking Skills in Socio Scientific Issue (SSI) of Force Material Around Us at Elementary School
Authors: Yanti Yuli , Kalifah Diah Rizki Nur , Hidayah Nurul
Published: January 2024

Computational thinking is a sophisticated problem-solving approach based on computer science. Implementing computational thinking in elementary schools remains a challenge for education, particularly for teachers and students. Teachers must construct learning experiences using computational thinking to make the learning process more engaging, while students must solve issues logically, systematically, and effectively. This study aims to present an overview of the application of computational thinking in natural and social sciences (IPAS) learning and identify its application in fifth-grade elementary school students. The research employed a qualitative research design with a single one-shot case study. The research subjects were 40 fifth-grade students and four teachers. This investigation was conducted during a single meeting that followed the lesson plan for the force material around us. The findings revealed that (a) analysis of student activity data yielded a percentage of 81.25%; (b) the data analysis of student responses to learning yielded favorable results, approaching 100%. According to interviews and observations of CT (Computational Thinking) in SSI (Socio-scientific Issue) in IPAS subjects, implementing CT learning on the forces around us might bring up aspects of the CT foundation, such as pattern recognition decomposition, abstraction, and algorithms. The learning scenario is that students are requested to assess many types of activities that occur in everyday life. Additionally, students will outline various actions that use force.
Analysis of Students’ Creative Thinking Skills from the Perspective of Environmental Literacy and Digital Literacy Influence
Authors: Dewi Yuliana , Farida  , Fadila Abi , Risqa JL Ana
Published: January 2024

This research aims to determine the extent of the influence of environmental literacy and digital literacy on students’ creative thinking abilities. The objectives of this study are as follows to determine the influence of both environmental literacy and digital literacy on students’ creative thinking abilities. This research employed a quantitative method with a survey research design. Data collection techniques included test questions and questionnaires. The population of this study consisted of eighth-grade students at SMP Negeri 1 Buay Pemuka Peliung in the academic year 2023/2024. The sample representing the population was determined using the Slovin formula. Hypothesis testing was carried out using simple linear regression testing, multiple linear regression testing, partial testing, simultaneous testing, and coefficient of determination testing. Based on the results of the multiple linear regression hypothesis test, it was found that there was no significant influence of environmental literacy on students’ creative thinking abilities with a partial test result of 0.662 > 0.05. Similarly, there was no significant influence of digital literacy on students’ creative thinking abilities with a partial test result of 0.510 > 0.05. Furthermore, there was no significant influence of both environmental literacy and digital literacy on students’ creative thinking abilities with a simultaneous test result of 0.763 > 0.05. Suggestions for future research include identifying variables that are more suitable for measuring the influence of environmental literacy and digital literacy.
Environmental-based Learning Management in Islamic Education Institutions
Authors: Romlah Listiyani Siti , Purnama Rahmad , Ambarwati Rivama , Hijriyah Umi , Amriyah Cahirul , Jamaluddin Z Wan
Published: January 2024

Environment-based learning management is an effective approach to improving the quality of education in Islamic educational institutions. A good educational environment can create a conducive learning atmosphere for students so that they can achieve their maximum learning potential. In this case, Islamic educational institutions must apply principles that focus on utilizing the environment as a means of supporting the learning process. This study employed the literature method by collecting data from literary sources. Based on the analysis, Islamic educational institutions need to involve students in managing and maintaining the cleanliness of the school environment through teaching program development that encourages students’ awareness of the importance of maintaining cleanliness and environmental sustainability. Environment-based learning management can also be integrated into teaching materials delivered at Islamic educational institutions. Teachers can teach the values of sustainability, concern for nature, and responsibility as Muslims towards environmental preservation. In implementing environment-based learning management, Islamic education institutions also need to involve students’ parents in supporting and implementing the principles at home, so that it becomes a consistent culture in everyday life. By implementing environment-based learning management, Islamic educational institutions can create an environment that has a positive impact on student’s development, not only providing benefits in improving the quality of education but also empowering students to become a generation that cares about and is responsible for environmental sustainability.
Desain, Development, and Evaluation of Biology E-Modules Website Based on Local Wisdom of the Baduy Tribe: Strengthening Pancasila Student Profiles on Ecosystem Material
Authors: Haka Nukhbatul Bidayati , Pamungkas M. Firman , Masya Hardiyansyah , Rakhmawati Ismi , Hidayah Nur
Published: January 2024

Integrating local wisdom in biology learning can help shape the character of students. This research uses a development design by Borg and Gall with nine stages. The e-module was developed in the form of a website based on local wisdom of the Baduy tribe to train the content of the Pancasila Student Profile, which is integrated into class X ecosystem material in Senior High School and, then assessed for feasibility by media experts, material experts, language experts through questionnaires. The response to the use of e-modules was assessed through teacher and student questionnaires. The website e-module was implemented in a class of 43 students to assess the Pancasila Student Profile. The evaluation results show that the e-module website based on local wisdom has 90% accurate material concepts, 84% is very accessible, and 83% has very decent language quality. 91% of teachers responded very well, and 83% of students on the limited scale test and 83% of students on the broad scale test responded very well. In the E-module local wisdom of the Baduy tribe integrated the cultural values of Ngaseuk, Pikukuh, Kawalu Traditional Ceremonies on ecosystem materials, training the Pancasila Student Profile, the use of e-modules is very flexible can be accessed via smartphones and personal computers. The results showed that the e-module website based on local wisdom of the Baduy Tribe is very feasible to be used in biology learning and received a positive response from teachers and students.
Analysis of Pedagogical Applications and Awareness Issues of Using Chatbots in The Science Classroom
Authors: Nuangchalerm Prasat , Saregar Antomi
Published: January 2024

Over the several years, there has been a significantly increased in the use of educational technology through chatbot applications. This paper aims to present the use of chatbots to help students meet their achievement in the science classroom. Chatbots can enhance potential of students’ learning by providing quick feedback, satisfying response, stimulating involvement, and personalize learning which depending on the specific requirements of each student. The potential applications of chatbots in a wide variety of scientific subjects, spanning various kind of knowledge. Additionally, it evaluates the familiarity of teachers with chatbots in the classroom. The paper discuss how it is useful, possibility, and ethical concerns in science education by shedding light on the possibility and effectiveness of using chatbots as teaching aids in science classes.
Optimal confidence regions for the parameters of a general exponential class under Type-II progressive censoring
Authors: Al-Jarallah Reem A. , Raqab Mohammad Z.
Published: January 2024

Under Type-II progressively censored data, joint confidence regions are proposed for the parameters of a general class of exponential distributions. The constrained optimization problem based on such censoring data can be adopted to obtain confidence regions for the unknown parameters of this general class with minimized size and a predetermined confidence level. The area of confidence sets are minimized by solving simultaneous non-linear equations. Two real data sets representing the duration of remission of leukemia patients and water level exceedances by River Nidd at Hunsingore located in New York, are analyzed by fitting appropriate well-known models. Further, numerical simulation study is performed to explain our procedures and findings here.
Radiological Diagnosis of Pulmonary Aspergillosis
Authors: Laurent François , Benlala Ilyes , Dournes Gael
Published: January 2024

Imaging plays an important role in the various forms of Aspergillus-related pulmonary disease. Depending on the immune status of the patient, three forms are described with distinct imaging characteristics: invasive aspergillosis affecting severely immunocompromised patients, chronic pulmonary aspergillosis affecting less severely immunocompromised patients but suffering from a pre-existing structural lung disease, and allergic bronchopulmonary aspergillosis related to respiratory exposure to Aspergillus species in patients with asthma and cystic fibrosis. Computed tomography (CT) has been demonstrated more sensitive and specific than chest radiographs and its use has largely contributed to the diagnosis, follow-up, and evaluation of treatment in each condition. In the last few decades, CT has also been described in the specific context of cystic fibrosis. In this particular clinical setting, magnetic resonance imaging and the recent developments in artificial intelligence have shown promising results.
A joint missing power data recovery method based on the spatiotemporal correlation of multiple wind farms
Authors: Li Haochen , Liu Liqun , He Qiusheng
Published: January 2024

In reality, wind power data are often accompanied by data losses, which can affect the accurate prediction of wind power and subsequently impact the real-time scheduling of the power system. Existing methods for recovering missing data primarily consider the environmental conditions of individual wind farms, thereby overlooking the spatiotemporal correlations between neighboring wind farms, which significantly compromise their recovery effectiveness. In this paper, a joint missing data recovery model based on power data from adjacent wind farms is proposed. At first, a spatial–temporal module (STM) is designed using a combination of graph convolution network and recurrent neural networks to learn spatiotemporal dependencies and similarities. Subsequently, to provide a solid computational foundation for the STM, a Euclidean-directed graph based on Granger causality is constructed to reflect the hidden spatiotemporal information in the data. Finally, comprehensive tests on data recovery for both missing completely at random and short-term continuous missing are conducted on a real-world dataset. The results demonstrate that the proposed model exhibits a significant advantage in missing data recovery compared to baseline models.
A transient performance evaluation of a porous evaporative cooler for preservation of fruits and vegetables
Authors: Paul-Okore Rosemary O. , Ike Chima C. , Nwaji Godswill N. , Nwufo Olisa C. , Ogueke Nnamdi V. , Anyanwu Emmanuel E.
Published: January 2024

A transient performance of a porous evaporative cooling system was carried out using mathematical models developed from the first principles. The models are based on energy and mass balance analysis on different sections of the evaporative cooler. The developed models were solved using a FlexPDE computational fluid dynamics analyzer, based on the finite element, to generate numerical solutions. The models developed were validated using experimental data from a properly designed, constructed, and tested an evaporative cooler and subsequently used to determine the evaporative cooler performance during four different periods of the year covering the two major climatic seasons experienced in Nigeria. Results obtained showed a reduction in the storage chamber temperature by up to 9 °C from the ambient air condition which was within the range of 22–33 °C. Furthermore, it was observed that it performs best during the dry seasons as compared to the wet season. However, during both seasons, the cooling chamber temperature significantly remained below the ambient value. Thus, the evaporative cooler can serve as an effective means of reducing heat-induced post-harvest losses incurred by farmers while also helping in combating climate change since it uses only water and does not require any external energy input.
Weighted extropy measures in general Morgenstern family under k-record values with application to medical data
Authors: Nagy M. , Alrasheedi Adel Fahad
Published: January 2024

In this paper, we study the marginal distribution of concomitants of k-record (KR) values from generalized Farlie–Gumbel–Morgenstern (GFGM) of bivariate distributions. In addition, the joint distribution of concomitants of KR for this family is obtained. Furthermore, some useful recurrence relations between moments of concomitants are derived. In addition, the hazard rate, the reversed hazard rate, and mean residual life functions of concomitants for this family are obtained. Some recent new measures of information, such as weighted extropy, weighted cumulative past extropy, and weighted cumulative residual extropy, are investigated for the concomitant of KR under the GFGM family. A non-parametric estimator of the proposed measure is provided by combining the empirical method with the concurrent use of KR in the GFGM family. Finally, we analyzed real-world data to examine our findings.
Fast and accurate transient simulation of magnetic gears
Authors: Sahoo Alok , Kumar Hari V. S. S. Pavan
Published: January 2024

Magnetic gears, being contactless, offer distinct advantages over mechanical gears. Transient simulations are required for the evaluation of dynamic performance, but the complex geometry of magnetic gears makes them computationally intensive with high simulation time. This paper proposes a method to perform a time-domain transient analysis on a coaxial magnetic gear. The proposed method is derived by an appropriate and timely modification of specific terms in the magnetostatic solution, to result in a computationally efficient transient simulation. The proposed method also doesn’t necessitate individual magnetostatic solutions for different time instances. The transient speed and torque performance of a coaxial magnetic gear can be predicted much faster with the proposed analytical approach (up-to 60 times faster for the configuration used in this article) compared to a finite element method (FEM)-based simulation. Accuracy of the proposed method is verified by comparing the results with those obtained from FEM simulations (COMSOL).
How particle shape affects granular segregation in industrial and geophysical flows
Authors: Cúñez Fernando David , Patel Div , Glade Rachel C.
Published: January 2024

Industrial and environmental granular flows commonly exhibit a phenomenon known as “granular segregation,” in which grains separate according to physical characteristics (size, shape, density), interfering with industrial applications (cement mixing, medicine, and food production) and fundamentally altering the behavior of geophysical flows (landslides, debris flows, pyroclastic flows, riverbeds). While size-induced segregation has been well studied, the role of grain shape has not. Here we conduct numerical experiments to investigate how grain shape affects granular segregation in dry and wet flows. To isolate the former, we compare dry, bidisperse mixtures of spheres alone with mixtures of spheres and cubes in a rotating drum. Results show that while segregation level generally increases with particle size ratio, the presence of cubes decreases segregation levels compared to cases with only spheres. Further, we find differences in the segregation level depending on which shape makes up each size class, reflecting differences in mobility when smaller grains are cubic or spherical. We find similar dynamics in simulations of a shear-driven coupled fluid-granular flow (e.g., a simulated riverbed), demonstrating that this phenomenon is not unique to rotating drums; however, in contrast to the dry system, we find that the segregation level increases in the presence of cubic grains, and fluid drag effects can qualitatively change segregation trends. Our findings demonstrate competing shape-induced segregation patterns in wet and dry flows that are independent from grain size controls, with implications for many industrial and geophysical processes.
DsrMKJOP is the terminal reductase complex in anaerobic sulfate respiration
Authors: Barbosa Ana C. C. , Venceslau Sofia S. , Pereira Inês A. C.
Published: January 2024

Microbial dissimilatory sulfate reduction (DSR) is a key process in the Earth biogeochemical sulfur cycle. In spite of its importance to the sulfur and carbon cycles, industrial processes, and human health, it is still not clear how reduction of sulfate to sulfide is coupled to energy conservation. A central step in the pathway is the reduction of sulfite by the DsrAB dissimilatory sulfite reductase, which leads to the production of a DsrC-trisulfide. A membrane-bound complex, DsrMKJOP, is present in most organisms that have DsrAB and DsrC, and its involvement in energy conservation has been inferred from sequence analysis, but its precise function was so far not determined. Here, we present studies revealing that the DsrMKJOP complex of the sulfate reducer
Archaeoglobus fulgidus
works as a menadiol:DsrC-trisulfide oxidoreductase. Our results reveal a close interaction between the DsrC-trisulfide and the DsrMKJOP complex and show that electrons from the quinone pool reduce consecutively the DsrM hemes
b
, the DsrK noncubane [4Fe-4S]
3+/2+
catalytic center, and finally the DsrC-trisulfide with concomitant release of sulfide. These results clarify the role of this widespread respiratory membrane complex and support the suggestion that DsrMKJOP contributes to energy conservation upon reduction of the DsrC-trisulfide in the last step of DSR.
Transfer learning to leverage larger datasets for improved prediction of protein stability changes
Authors: Dieckhaus Henry , Brocidiacono Michael , Randolph Nicholas Z. , Kuhlman Brian
Published: January 2024

Amino acid mutations that lower a protein’s thermodynamic stability are implicated in numerous diseases, and engineered proteins with enhanced stability can be important in research and medicine. Computational methods for predicting how mutations perturb protein stability are, therefore, of great interest. Despite recent advancements in protein design using deep learning, in silico prediction of stability changes has remained challenging, in part due to a lack of large, high-quality training datasets for model development. Here, we describe ThermoMPNN, a deep neural network trained to predict stability changes for protein point mutations given an initial structure. In doing so, we demonstrate the utility of a recently released megascale stability dataset for training a robust stability model. We also employ transfer learning to leverage a second, larger dataset by using learned features extracted from ProteinMPNN, a deep neural network trained to predict a protein’s amino acid sequence given its three-dimensional structure. We show that our method achieves state-of-the-art performance on established benchmark datasets using a lightweight model architecture that allows for rapid, scalable predictions. Finally, we make ThermoMPNN readily available as a tool for stability prediction and design.
Specialized replication of heterochromatin domains ensures self-templated chromatin assembly and epigenetic inheritance
Authors: Nathanailidou Patroula , Dhakshnamoorthy Jothy , Xiao Hua , Zofall Martin , Holla Sahana , O’Neill Maura , Andresson Thorkell , Wheeler David , Grewal Shiv I. S.
Published: January 2024

Heterochromatin, defined by histone H3 lysine 9 methylation (H3K9me), spreads across large domains and can be epigenetically inherited in a self-propagating manner. Heterochromatin propagation depends upon a read–write mechanism, where the Clr4/Suv39h methyltransferase binds to preexisting trimethylated H3K9 (H3K9me3) and further deposits H3K9me. How the parental methylated histone template is preserved during DNA replication is not well understood. Here, we demonstrate usingSchizosaccharomyces pombethat heterochromatic regions are specialized replication domains demarcated by their surrounding boundary elements. DNA replication throughout these domains is distinguished by an abundance of replisome components and is coordinated by Swi6/HP1. Although mutations in the replicative helicase subunit Mcm2 that affect histone binding impede the maintenance of a heterochromatin domain at an artificially targeted ectopic site, they have only a modest impact on heterochromatin propagation via the read–write mechanism at an endogenous site. Instead, our findings suggest a crucial role for the replication factor Mcl1 in retaining parental histones and promoting heterochromatin propagation via a mechanism involving the histone chaperone FACT. Engagement of FACT with heterochromatin requires boundary elements, which position the heterochromatic domain at the nuclear peripheral subdomain enriched for heterochromatin factors. Our findings highlight the importance of replisome components and boundary elements in creating a specialized environment for the retention of parental methylated histones, which facilitates epigenetic inheritance of heterochromatin.