bluuebunny/crossref_metadata_2025 huggingface dataset:
Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks
Authors: Abosuliman Shougi S. , Abdullah Saleem , Ali Nawab
Published: January 2025

Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. We extended the idea of artificial neural networks to continuous linear Diophantine fuzzy neural networks. A few operational concepts for continuous linear Diophantine fuzzy sets are further developed, and they are subsequently made simpler to apply to more than two such sets. Also, a real multi-criteria decision-making problem has been formulated. The environment plays a very important role in our daily lives. We cause different types of pollution in our environment, and it has a bad impact on our lives. Air pollution is one of the various forms of pollution that is thought to affect the entire globe. Millions of people die due to air pollution, and industries are the main contributors to air pollution. To overcome air pollution, green supply chain management plays a vital role, but green supply chain management faces some barriers as well. According to the proposed model,

$${\mathfrak{R}}_{1}$$

R
1

is the best alternative and green supply chain management faces financial problems more than other barriers and also provides strategies to overcome financial barriers. In addition, a comparative analysis develops to illustrate the reliability and feasibility of the suggested technique in relation to current techniques.
Thinking About Suicidal Thinking: Suicide-Related Metacognitions’ Relation to Maladaptive Processing of Suicidal Thoughts
Authors: Forkmann Thomas , Fiorentino Laura , Müßeler Sarah Sophie , Schüler Jil , Heilmann-Stiegler Tobias , Barke Antonia , Teismann Tobias
Published: January 2025

Objective

The metacognitive model of suicidality proposes that positive metacognitions about suicide (PMS) activate a cognitive attentional syndrome (CAS), i.e., suicide-specific rumination, attentional fixation, and thought suppression, which in turn activates negative metacognitions about suicide (NMS) and an aggravation of suicidality. Preliminary evidence supports the model assumptions; however, a more comprehensive investigation is missing by now.

Methods

One hundred eighty-six participants (148 female [79.6%]; age M = 28.3 (SD = 9.8)) with lifetime suicidal ideation filled in self-report measures of suicide ideation/behavior, all CAS-components, and metacognitions about suicide.

Results

All elements of the CAS correlated significantly with each other and with concurrent suicidal ideation. PMS predicted suicide-specific rumination and attentional fixation. All CAS-components predicted NMS. Suicide-specific rumination, attentional fixation, and positive and negative metacognitions differentiated between lifetime suicide attempters and non-attempters.

Conclusion

Results are in line with the metacognitive model of suicidality and warrant further studies regarding the model assumptions.
Modelling and Application of Bucking Restrained Braces for Performance-Based Earthquake Engineering Frameworks
Authors: Catalán Ariel , Rizzo Fabio , Cahís Xavier , Sabba Maria Francesca , Foti Dora
Published: January 2025

Purpose

This paper proposes a more efficient methodology of calculation than methodologies proposed by literature for the design of Buckling Restrained Braces (BRBs) in the framework of the Performance-Based Earthquake Engineering (PBEE).

Methods

The methodology is based on non-linear dynamic analyses with multiple scaled records to each PBEE level and the statistical treatment of the results. As a case study, a PC-BRB all-steel type has been applied to a RC 8-story frame structure. The BRB used in this research is a pinned diagonal type. The fundamental parameters of BRBs to attend PBEE requirements it was firstly established and a complete methodology to retrofit a reinforced concrete frame were finally proposed.

Results

Very promising results are discussed. As for example, it has been demonstrated that the initial values obtained from a static simplified method are appropriate as the first stage of the design process.
Combining approaches for improving preschoolers’ narrative production skill
Authors: Chlapana Elissavet , Koniou Antonia
Published: January 2025

The development of the narrative production skill is one of the most essential goals set for young children’s literacy. Different practices, such as story reading, direct instruction, and playful learning, are proposed for fostering young children’s meaning-related skills, among which is narrative production. Considering the above, the purpose of the present study is to examine the effect of a two-month intervention program on preschoolers’ narrative production skills. The design of the intervention program is based on the combination of story reading, direct instruction, and playful learning for enhancing skills directly related to the narrative production skill. For the needs of the present study, a semi-experimental study was carried out. Sample children (Ν = 32) were divided into an experimental group and a control group. The results of the present study, as they were evaluated through a norm-referenced criterion, showed the effectiveness of the proposed intervention on preschoolers’ narrative production skills, especially in relation to their ability to make inferences that interpret the story characters’ actions and emotional state.
Vision-based welding quality detection of steel bridge components in complex construction environments
Authors: Hu Tianshi , Huang Xiuping , Yang Zuolei , Liu Zhixiong , Zhao Jie , Xu Zhao
Published: January 2025

Currently, welding quality detection remains dependent on manual operation, while the increase in the span and intricacy of steel bridges has rendered the conventional method of detection insufficient to fulfill the engineering requirements. This paper presents a systematic study of welding quality detection of steel bridges based on fusion of point clouds and images in complex construction environments. (1) A welding detection system is developed that could filter out stray light and capture weld images. (2) This paper enhances the centerline extraction method in 3D reconstruction, which could effectively filter out noise interference and precisely reconstruct weld contours. The contour dimensions of both filler and cover welds are identified through feature point extraction, with an estimated detection error under 0.6%. (3) This paper optimizes the feature extraction of the Faster R-CNN network based on the appearance feature and detection need of welding defects, resulting in an improvement of 28.3 in mAP. Experimental results demonstrate that the proposed welding quality detection is both efficient and accurate, and is capable of meeting the requirements of actual steel bridge construction.
Four-port flexible UWB-MIMO antenna with triple band-notched for wearable IoT applications
Authors: Peng Huanchen , Du Chengzhu , Wang Ruohui
Published: January 2025

A four-port ultra-wideband (UWB) multiple-input multiple-output (MIMO) antenna with three notch bands is proposed in this work. The antenna uses ultra-thin flexible material liquid crystal polymer (LCP) as the substrate. Four identical monopole radiators are designed in this proposed antenna system. The notch bands of the antenna are generated by adding complementary split ring resonator (CSRR) and ring branch. A cross-shaped stub is set in the center of the four antenna units to enhance the isolation. The measured bandwidth of the antenna is 2.54–10.69 GHz, filtering out three notch frequency bands of 2.81–3.85, 5.11–5.98, and 7.34–8.69 GHz. The isolation in the entire working frequency is better than 22 dB. The bent performances of the MIMO system and the specific absorption rate (SAR) value are analyzed. The low SAR values, low envelope correlation coefficient (<0.05), high diversity gain (>9.999), and stable gain of the proposed antenna indicate that in UWB-MIMO systems and wearable Internet of Things applications, it can be widely used.
Children’s School Lives – A National Cohort Study of Primary Schooling in Ireland
Authors: Symonds Jennifer E. , Devine Dympna , Sloan Seaneen , Martinez Sainz Gabriela , Davies Aisling , Stynes Hannah , Ioannidou Olga , Bonhert Melissa
Published: January 2025

Abstract: Children’s School Lives (CSL) is a mixed methods national cohort study of primary schooling in Ireland. This study aims to provide information on children’s learning, engagement, and wellbeing, in the context of primary school curriculum, pedagogy, and assessment, with a focus on social equality and inclusion. CSL has an accelerated cohort design involving two age cohorts of children across 269 classrooms in 185 schools, their classroom teachers, school principals, and parents. A subsample of 15 schools were selected as case studies for longitudinal qualitative data collection. Cohort A ( N = 1,675, girls = 49%) was first studied in the first year of primary school at age 4/5 years (2019/2020). Cohort B ( N = 2,113, boys = 49%) was first studied in their fourth year of primary school at age 8/9 years (2018/2019). Cohort A was followed up for 4 years in primary school and Cohort B was followed up for 5 years in primary school. Annual surveys have been administered to both cohorts of children ( N = 3,788) in classrooms by trained teacher-fieldworkers, and approximately 700 parents, 120 classroom teachers, and 180 school principals using online methods. The case study fieldworkers visit schools annually to collect data with children using focus group and individual interviews, and participatory methods including photovoice. Fieldworkers interview case study classroom teachers, principals, parents, and grandparents. Children and teachers are observed in all classrooms using the Observational Research and Classroom Learning Evaluation (ORACLE) systematic tool, and in case study classrooms using the Classroom Assessment Learning System (CLASS).
Numerical and Observational Study of Sn‐To‐Lg Conversion Due To Crustal‐Thickening: Implications for Identification of Continental Mantle Earthquakes
Authors: Wang Shiqi , Klemperer Simon L.
Published: January 2025

We study Sn‐to‐Lg conversion due to significant crustal‐thickening, using Sn and Lg amplitude ratios (Sn/Lg) to identify continental mantle earthquakes. We perform 2.5D simulations up to 5 Hz and 2,000 km using an enhanced AxiSEM3D. Our simulations compare propagation in a constant‐thickness crust from a source at three depths straddling the Moho, to 48 models of the same three sources propagating through Moho ramps of four different widths (dips) at four different distances from the source, so perturbations of Sn/Lg are only due to crustal‐thickening. We compare our synthetics to data from 12 earthquakes recorded on the HiCLIMB array across Tibet, of which six previously studied events from northwestern Tibet traverse no major crustal‐thickness variation, and six new events are located south of the Himalaya across a major Moho ramp. Our simulations show that Sn/Lg for mid‐crustal earthquakes is consistently lower than for mantle earthquakes, especially for areas beyond the end of the ramp. Our observations on real data, with similar travel paths for each group of events (ramp‐crossing and non‐ramp‐crossing), display bi‐modal separation of Sn/Lg for both groups, identifying new mantle earthquakes in northern India. Sn‐to‐Lg converted waves may be readily detected by enhanced high‐frequency Lg content, as suggested by previous mode‐coupling studies, verified here with synthetics, and observed in data. Lastly, we observe higher frequency content in Lg from crustal earthquakes than from mantle earthquakes in simulations and in data, offering a new discriminant for continental mantle earthquakes based on frequency content of Lg waves alone.
The genetics of neurodegenerative diseases is the genetics of age-related damage clearance failure
Authors: Hardy John , Escott-Price Valentina
Published: January 2025

In this perspective we draw together the data from the genome wide association studies for Alzheimer’s disease, Parkinson’s disease and the tauopathies and reach the conclusion that in each case, most of the risk loci are involved in the clearance of the deposited proteins: in Alzheimer’s disease, the microglial removal of Aβ, in the synucleinopathies, the lysosomal clearance of synuclein and in the tauopathies, the removal of tau protein by the ubiquitin proteasome. We make the point that most loci identified through genome wide association studies are not strictly pathogenic but rather relate to failures to remove age related damage. We discuss these issues in the context of copathologies in elderly individuals and the prediction of disease through polygenic risk score analysis at different ages. Finally, we discuss what analytic approaches are needed now that we have adequately sized case control analyses in white populations.
Strength and durability of indirect protection against SARS-CoV-2 infection through vaccine and infection-acquired immunity
Authors: Tan Sophia T. , Rodríguez-Barraquer Isabel , Kwan Ada T. , Blumberg Seth , Park Hailey J. , Hutchinson Justine , Leidner David , Lewnard Joseph A. , Sears David , Lo Nathan C.
Published: January 2025

Early investigation revealed a reduced risk of SARS-CoV-2 infection among social contacts of COVID-19 vaccinated individuals, referred to as indirect protection. However, indirect protection from SARS-CoV-2 infection-acquired immunity and its comparative strength and durability to vaccine-derived indirect protection in the current epidemiologic context of high levels of vaccination, prior infection, and novel variants are not well characterized. Here, we show that both vaccine-derived and infection-acquired immunity independently yield indirect protection to close social contacts with key differences in their strength and waning. Analyzing anonymized SARS-CoV-2 surveillance data from 9,625 residents in California state prisons from December 2021 to December 2022, we find that vaccine-derived indirect protection against Omicron SARS-CoV-2 infection is strongest within three months of COVID-19 vaccination [30% (95% confidence interval: 20–38%)] with subsequent modest protection. Infection-acquired immunity provides 38% (24–50%) indirect protection for 6 months after SARS-CoV-2 infection, with moderate indirect protection persisting for over one year. Variant-targeted vaccines (bivalent formulation including Omicron subvariants BA.4/BA.5) confer strong indirect protection for at least three months [40% (3–63%)]. These results demonstrate that both vaccine-derived and infection-acquired immunity can reduce SARS-CoV-2 transmission which is important for understanding long-term transmission dynamics and can guide public health intervention, especially in high-risk environments such as prisons.
Transition from the topological to the chaotic in the nonlinear Su–Schrieffer–Heeger model
Authors: Sone Kazuki , Ezawa Motohiko , Gong Zongping , Sawada Taro , Yoshioka Nobuyuki , Sagawa Takahiro
Published: January 2025

Recent studies on topological materials are expanding into the nonlinear regime, while the central principle, namely the bulk–edge correspondence, is yet to be elucidated in the strongly nonlinear regime. Here, we reveal that nonlinear topological edge modes can exhibit the transition to spatial chaos by increasing nonlinearity, which can be a universal mechanism of the breakdown of the bulk–edge correspondence. Specifically, we unveil the underlying dynamical system describing the spatial distribution of zero modes and show the emergence of chaos. We also propose the correspondence between the absolute value of the topological invariant and the dimension of the stable manifold under sufficiently weak nonlinearity. Our results provide a general guiding principle to investigate the nonlinear bulk–edge correspondence that can potentially be extended to arbitrary dimensions.
Engineered heart muscle allografts for heart repair in primates and humans
Authors: Jebran Ahmad-Fawad , Seidler Tim , Tiburcy Malte , Daskalaki Maria , Kutschka Ingo , Fujita Buntaro , Ensminger Stephan , Bremmer Felix , Moussavi Amir , Yang Huaxiao , Qin Xulei , Mißbach Sophie , Drummer Charis , Baraki Hassina , Boretius Susann , Hasenauer Christopher , Nette Tobias , Kowallick Johannes , Ritter Christian O. , Lotz Joachim , Didié Michael , Mietsch Mathias , Meyer Tim , Kensah George , Krüger Dennis , Sakib Md Sadman , Kaurani Lalit , Fischer Andre , Dressel Ralf , Rodriguez-Polo Ignacio , Stauske Michael , Diecke Sebastian , Maetz-Rensing Kerstin , Gruber-Dujardin Eva , Bleyer Martina , Petersen Beatrix , Roos Christian , Zhang Liye , Walter Lutz , Kaulfuß Silke , Yigit Gökhan , Wollnik Bernd , Levent Elif , Roshani Berit , Stahl-Henning Christiane , Ströbel Philipp , Legler Tobias , Riggert Joachim , Hellenkamp Kristian , Voigt Jens-Uwe , Hasenfuß Gerd , Hinkel Rabea , Wu Joseph C. , Behr Rüdiger , Zimmermann Wolfram-Hubertus
Published: January 2025

Cardiomyocytes can be implanted to remuscularize the failing heart1–7. Challenges include sufficient cardiomyocyte retention for a sustainable therapeutic impact without intolerable side effects, such as arrhythmia and tumour growth. We investigated the hypothesis that epicardial engineered heart muscle (EHM) allografts from induced pluripotent stem cell-derived cardiomyocytes and stromal cells structurally and functionally remuscularize the chronically failing heart without limiting side effects in rhesus macaques. After confirmation of in vitro and in vivo (nude rat model) equivalence of the newly developed rhesus macaque EHM model with a previously established Good Manufacturing Practice-compatible human EHM formulation8, long-term retention (up to 6 months) and dose-dependent enhancement of the target heart wall by EHM grafts constructed from 40 to 200 million cardiomyocytes/stromal cells were demonstrated in macaques with and without myocardial infarction-induced heart failure. In the heart failure model, evidence for EHM allograft-enhanced target heart wall contractility and ejection fraction, which are measures for local and global heart support, was obtained. Histopathological and gadolinium-based perfusion magnetic resonance imaging analyses confirmed cell retention and functional vascularization. Arrhythmia and tumour growth were not observed. The obtained feasibility, safety and efficacy data provided the pivotal underpinnings for the approval of a first-in-human clinical trial on tissue-engineered heart repair. Our clinical data confirmed remuscularization by EHM implantation in a patient with advanced heart failure.
Modulation of biological activities in adipose derived stem cells by histone deacetylation
Authors: Abdallah Sallam , Tabebi Mouna , Qanadilo Sawsan , Ali Neserin , Wang Jing , D’Arcy Pádraig , Zhong Wen , Sjoberg Folke , Elmasry Moustafa , El-Serafi Ahmed
Published: January 2025

Difficult-to-heal wounds management accounts for about 4% of healthcare costs, highlighting the need for innovative solutions. Extracellular signals drive cell proliferation during tissue regeneration, while epigenetic mechanisms regulate stem cell homeostasis, differentiation, and skin repair. Exploring epigenetic regulation in adipose-derived stem cells (ADSCs) holds promise for improving skin injury treatments. We investigated the effects of histone deacetylase inhibitor (SAHA) on ADSCs to better understand its cellular and molecular impacts. ADSCs were treated with SAHA for 72 h, showing no change in cell viability at the studied concentrations. However, the expression of histone deacetylase decreased at 1000 nM, while the cell proliferation marker Ki-67 increased after SAHA treatment, as confirmed by immunofluorescence. CCND1 gene expression increased, whereas protein expression of the proliferating cell nuclear antigen (PCNA) decreased. Cell cycle analysis showed an increase in G2 phase in SAHA-treated cells. Microarray analysis revealed 74 upregulated and 40 downregulated differentially expressed genes, including upregulation of P53 targets, CDKN1A and MDM2. Proteomic analysis identified 631 upregulated and 823 downregulated proteins compared to the vehicle. Pathway enrichment analysis showed cell cycle, ATP-dependent chromatin remodeling and DNA processes were among the affected pathways. This study suggests SAHA modulates ADSCs’ biological processes, highlighting its potential for skin regeneration.
Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking
Authors: Ibrahim Mohamed R. , Lyons Terry
Published: January 2025

Air pollution in cities, especially NO2, is linked to numerous health problems, ranging from mortality to mental health challenges and attention deficits in children. While cities globally have initiated policies to curtail emissions, real-time monitoring remains challenging due to limited environmental sensors and their inconsistent distribution. This gap hinders the creation of adaptive urban policies that respond to the sequence of events and daily activities affecting pollution in cities. Here, we demonstrate how city CCTV cameras can act as a pseudo-NO2 sensors. Using a predictive graph deep model, we utilised traffic flow from London’s cameras in addition to environmental and spatial factors, generating NO2 predictions from over 133 million frames. Our analysis of London’s mobility patterns unveiled critical spatiotemporal connections, showing how specific traffic patterns affect NO2 levels, sometimes with temporal lags of up to 6 h. For instance, if trucks only drive at night, their effects on NO2 levels are most likely to be seen in the morning when people commute. These findings cast doubt on the efficacy of some of the urban policies currently being implemented to reduce pollution. By leveraging existing camera infrastructure and our introduced methods, city planners and policymakers could cost-effectively monitor and mitigate the impact of NO2 and other pollutants.
scATAC-seq generates more accurate and complete regulatory maps than bulk ATAC-seq
Authors: Gur E. Ravza , Hughes Jim R.
Published: January 2025

Bulk ATAC-seq assays have been used to map and profile the chromatin accessibility of regulatory elements such as enhancers, promoters, and insulators. This has provided great insight into the regulation of gene expression in many cell types in a variety of organisms. To date, ATAC-seq has most often been used to provide an average evaluation of chromatin accessibility in populations of cells. The development of a single cell approach (scATAC-seq) assay enables researchers to evaluate chromatin accessibility in individual cells and identify sub-groups in mixed populations of cells. To investigate the full potential of single-cell epigenomic data, we have comprehensively compared the information derived from bulk ATAC-seq and scATAC-seq in populations of cells. We found that the chromatin architecture signal is the same using bulk ATAC-seq and scATAC-seq to analyse aliquots of the same cell population. However, scATAC-seq provides substantially higher data quality compared to bulk ATAC-seq improving the sensitivity to detect relatively weak, but functionally important ATAC-seq signals. Furthermore, we found that scATAC-seq identified differences in what was previously assumed to be a homogenous population of cells. Finally, we determined the number of cells required to generate aggregated open chromatin profiles from single cells and to identify biologically meaningful clusters after pseudo-bulking of data. This study illustrates the added value of using scATAC-seq rather than bulk ATAC-seq in evaluating both homogeneous and heterogeneous populations of cells. This paper provides a comprehensive guide on the benefits of using scATAC-seq data to study gene regulation.
2D wrinkle assisted zigzag plasmonic chains for isotropic SERS enhancement
Authors: Yu Ziwen , Sarkar Swagato , Seçkin Sezer , Sun Ningwei , Ghosh Anik Kumar , Wießner Sven , Zhou Ziwei , Fery Andreas
Published: January 2025

Template-assisted colloidal self-assembly has gained significant attention due to its flexibility and versatility. By precisely controlling the shape of the template, it is possible to achieve custom-designed nanoparticle assemblies. However, a major challenge remains in fabricating these templates over large areas at a low cost. Recently, one-dimensional (1D) nano-wrinkle structures have been effectively used for the linear assembly of single-chain or multi-chain nanoparticles, which feature abundant interparticle nanogaps that facilitate efficient plasmonic coupling. To further enhance these assemblies by incorporating diffraction modes, we develop two-dimensional (2D) zigzag wrinkle structures that successfully assemble nanoparticles into plasmonic zigzag chains. Micro spectral measurements and FDTD simulations reveal that zigzag assemblies of plasmonic nanoparticle chains offer isotropic behavior and exhibit stronger plasmonic coupling compared to 1D assemblies, which could be highly beneficial for sensing applications. Due to the responsive PANI shell encapsulating the gold nanoparticles, this 2D zigzag assembly enables flexible tuning of plasmonic resonance under pH regulation.
Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes
Authors: Sahu Dinesh , Nidhi  , Chaturvedi Rajnish , Prakash Shiv , Yang Tiansheng , Rathore Rajkumar Singh , Wang Lu , Tahir Sabeen , Bakhsh Sheikh Tahir
Published: January 2025

In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The conventional approaches of Load balancing like Round-Robin and Threshold-based load balancing fails in scalability and flexibility issues when applied to highly variable edge environments. To solve the problem of how to achieve steady-state load balance and provide dynamic adaption to edge networks, this paper proposes a new framework that using PCA and MDP. Taking advantage of the stochasticity of PCA classification our model describes interactions between neighboring nodes in terms of a local load thus allowing for a distributed, self-organizing approach to load balancing. The MDP framework then determines each node’s decision-making with the focus on load offloading policies that are aligned with rewards that promote per node balance and penalties for offloading a larger load than it can handle.These models are then incorporated into our proposed PCA-MDP system to achieve dynamic load balancing with low variability in resource usage among nodes. By conducting a large number of experiments, we prove that the proposed PCA-MDP model yields a higher efficiency in the distribution of the load, higher stabilities of the reward function, and a faster convergence speed compared to the existing approaches. Key performance parameters, such as load variance, convergence time, and scalability, validate the robustness of the proposed model. Besides optimizing resource exploitation, load harmony in edge computing networks helps provide efficient work progression and minimize latency, thereby contributing to the advancement of the field with respect to real-time applications such as self-driving vehicles and the Internet of Things. The presented work offers an excellent foundation for the next-generation edge-computing load-balancing solution that can be easily scaled up.
Fabricating bimetallic cobalt–iron MOF nano/microcrystalline particles: strong bifunctional electrocatalytic activity and overall water splitting
Authors: Arunkumar Gunasekaran , Deviga Govindan , Mariappan Mariappan , Pannipara Mehboobali , Al-Sehemi Abdullah G. , Anthony Savarimuthu Philip
Published: January 2025

The nano/microcrystalline structure of bimetallic CoFeTPA MOFs exhibited strong bifunctional electrocatalytic activity and enhanced overall water splitting including seawater splitting.
Eliminating high-dimensional defects by upward unidirectional crystallization for efficient and stable inverted perovskite solar cells
Authors: Qin Zhenzhen , Chen Mengjiong , Zhang Ziyang , Wang Yanbo , Han Liyuan
Published: January 2025

Upward unidirectional crystallization is achieved by maximizing the difference in nucleation driving force between top and bottom sides of perovskites, which contributes to efficient and stable solar cells with eliminated high-dimensional defects.
Enhanced antibacterial and algae inhibition performance by coral sand-supported nano-Ag composites
Authors: Wang Sufeng , Lv Fengjing , Zhang Wen , Li Jingshan , Lin Mingyang , Tao Zhengyi
Published: January 2025

Coral sand (CS) was utilized as a substrate to immobilize nano silver, resulting in the new composite material CS-Ag. CS-Ag could achieve continuous sterilization and algae inhibition.
Nutritional composition and bioactive potential of watermelon seeds: a pathway to sustainable food and health innovation
Authors: Nissar Jasia , Sidiqi Urba Shafiq , Dar Aamir Hussain , Akbar Ubaida
Published: January 2025

Watermelon (Citrullus lanatus), belonging to the Cucurbitaceae family, is a globally cultivated fruit with significant commercial value.
DNA dendrimer-based nanocarriers for targeted Co-delivery and controlled release of multiple chemotherapeutic drugs
Authors: Tian Yao , Sun Mengqiu , Song Rui , Yang Zhaoqi , Zhang Hao
Published: January 2025

DNA-based nanomaterials have attracted increasing attention over the past decades due to their incomparable programmability and functionality.
A scalable and eco-friendly carbohydrate-based oleogelator for vitamin E controlled delivery
Authors: Fragal Elizângela Hafemann , Metilli Lorenzo , Pignon Frédéric , Halila Sami
Published: January 2025

A readily accessible and eco-friendly sodium salt of β-C-glucosyl barbiturate has been discovered to be a powerful low molecular-weight oleogelator of a wide range of fatty phases.
Evaluating the CO2 capture potential of MgO sheets: a DFT study on the effects of vacancy and Ni doping for assessing environmental sustainability
Authors: Saadu Itas Yahaya , Khandaker Mayeen Uddin , Mahmoud Mustafa
Published: January 2025

Investigations on two-dimensional materials for efficient carbon dioxide (CO2) capture and storage have recently attracted much attention, especially in the global industrial sector.
Unraveling the CO2 methanation and capture ability of NiO@metal oxides
Authors: Chitturi Huldah Suharika , Lavanya Yalagandula , Varun Yaddanapudi , Ramesh Anurag , Pamu Sri Himaja , Sreedhar I. , Singh Satyapaul A.
Published: January 2025

The dual role of a catalyst in CO2 capture and utilization.
Recyclable chloride trapping and sustained nicotinate release monitored by photoluminescence of Eu3+-doped layered yttrium hydroxide
Authors: Choi Yoonjae , Kang Myeongjin , Byeon Song-Ho
Published: January 2025

The photoluminescence ‘on/off’ by the NA inclusion and chloride trapping demonstrates potential applications of NA-LYH:Eu as a corrosion inhibitor and a luminescent carrier for sustained NA release.
Green communication for OverGNN enabled heterogeneous ultra‐dense networks
Authors: Zeng Jun , Lin Sisi , Ai Yuhan , Wan Guo , Luo Wei , Chen Qimei
Published: January 2025

With the development of wireless communications, heterogeneous ultra‐dense networks (HUDNs) have emerged to meet the requirements of massive connectivity, high data rate, and low latency in the 5G era. Nevertheless, HUDN usually leads to a high‐complexity and non‐convex NP‐hard energy‐efficient resource allocation problem. Therefore, A novel heterogeneous Graph neural network (GNN) with high‐dimensional computation structure (namely OverGNN) is proposed for the power allocation problem in this work. Particularly, OverGNN enabled nodes directly interact with high‐order neighbours and extract abundant graph topological information, which can facilitate effective feature aggregation among nodes as well as alleviate the over‐smoothing problem. Based on this fact, an efficient message passing scheme for user equipments under the same base station is developed to approximate the optimal power allocation strategy for maximizing system energy efficiency. In addition, an unsupervised approach is proposed to train the GNN model that can reduce the cost of dataset collection and enhance the scalability of the proposed method. Numerical results verify the effectiveness of the proposed OverGNN and demonstrate its advantages over the benchmarks.
Land use change impacts and its cope with water management to conservation type in highland-plateau area development
Authors: Kristiyanto
Published: January 2025

One of the ways that human activity impacts the environment, especially in rural areas where it causes drought and hydrological change, is through the problem caused by shifting land use. Therefore, the purpose of this study was to investigate, inventory, and comprehend the various forms of land-use change, their effects in rural regions, and the ways in which the local population responded and adjusted to them in light of their ecological knowledge or capacities. Direct observation and in-depth one-on-one interviews were employed to gather data, and secondary data was used for analysis. According to the study’s findings, the Cikalong-Sodonghilir village has experienced ecological disruptions and harm, including the depletion of water supplies as a result of watershed events, particularly in the arid season. Jamban, or the pond system, is one model development that uses water management to conserve water at the local scale and has been thought to be able to cope with drought, though it is not yet optimal, at least reduced to drought. This makes it necessary to manage water and the land in a friendly and conservative manner. Involving communities in land conservation is essential for long-term sustainability, especially in rural areas with steep to plateau (forest) terrain that should include catchment areas and efficient and compassionate ecological functions.
Influence of mineral fertilizers on the content of basic macro elements in soil and two years plants of apple sivers forest crops created by seedlings with a closed root system
Authors: Khujaniyazovich Mamutov Bakhrom , Aleeksandrovich Butkov Yevgeniy , Ismailovich Ruzmetov Umid , Khudoynazar Ugli Ulugov Chorshanbi , Fayzullayevna Ulugova Safargul , Gulmurzaevich Temirov Jamshid
Published: January 2025

The article presents the results of research into the physical and mechanical properties of soils and fertilizers, the effectiveness of the method of applying mineral fertilizers layer by layer on the formed dams, the development of the design of machines for the formation and fertilization of furrows, as well as the justification of the technological processes of their operation.
Mahogany seeds extract showed potential immunomodulator by in-silico and in vivo testing
Authors: Yati Sumiyati , Alessandro Gunady , Perwira Tua , Warni Warni , Heppy Novia , Emilda
Published: January 2025

Environmental disturbances such as climate change affect human health both infectious and non-communicable disease. Immunity plays an important role in maintaining body health while the mahogany seed has been used empirically to increase immunity. This study aims to evaluate the potential of mahogany seed as an immunomodulator through an in-silico test by molecular docking and an in vivo test using a hemagglutination method. Docking simulation was done towards 16 bioactive contents using Protein Data Bank, PubChem, Marvinsketch, Chimera, Swissdock and pkCSM. The immunomodulatory effect of 96% ethanol extract was studied in 36 DDY mice, separated into 6 groups: normal, negative and positive groups, also mahogany seed extract with dose of 50mg/kgBW, 100mg/kgBW, and 200mg/kgBW). Cyclophosphamide was used to depress immune system and Sheep Red Blood Cells as antigen. The result for the in-silico study showed Gibbs energy of swietenin C and swietenin E more negative than tocilizumab and complied with Lipinski’s rule. The result of the in vivo showed the average antibody titres of group I-VI were 0.00±0.00; 1.90±0.330; 4.31±0.631; 3.51±1.168; 3.71±0.631; 4.01±1.037, respectively. There was no significant difference between the mahogany seed extract treatments with the positive control (p>0.05). This study concludes that mahogany seed extract has immunomodulatory activity that can be utilized by the community in the prevention of various diseases.
Yield performance of high-yield rice varieties in swamp lands of the West Kalimantan border area
Authors: Alwi Muhammad , Hairani Anna , Napisah Khairatun , Agustina Rusmila , Fadhilah Nur
Published: January 2025

The planting season has a significant impact on the rice yield in tidal type C. Farmers in Matang Danau Village, Paloh Sub-District, Sambas District, West Kalimantan Province, currently cultivate rice once a year during the rainy season (RS), using the Cilosari, which has a low yield of 2.35 t ha-1. To increase the cropping index (CI), water pumping can be utilized during the dry season (DS), along with the use of high-yield varieties. This research aimed to evaluate the yield performance of various high-yield rice varieties in the swamp lands of the West Kalimantan border area. Conducted during the DS (March to July 2018) and RS (October 2018 to February 2019), the research used a randomized complete block design with three replications. The varieties tested included Inpara 1, 2, 3, 4, 6, 8, 9, Inpari 32, and control varieties Margasari and Cilosari. Results indicated significant yield differences among the varieties under swamp conditions, with Inpara 1 achieving the highest yield of 6.6 t ha-1, while other varieties ranged from 3.98 to 5.90 t ha-1. Inpara 1 showed the most notable yield improvement compared to Margasari and Cilosari. Additionally, yields during the RS were 89.4% higher than those during the DS.
Potential of Cyanobacteria as biological agents to improve sweet corn (Zea mays saccharate) germination and growth
Authors: Sulistyowati Dwiwanti , Hartono Rudi , Tasrif Arifin , Purwani Jati , Wati Cheppy , Kasno Antonius
Published: January 2025

Climate change can reduce crop yields. Cyanobacteria (blue-green algae), play an important role in sustainable agriculture by increasing plant resistance to drought. These microorganisms improve soil fertility by fixing nitrogen and producing bioactive compounds that enhance plant growth. The study aims to determine the role of cyanobacteria in improving germination and growth of sweet corn. It evaluated 11 strains of cyanobacteria (S1-S11) isolated from soil and corn roots in Grobogan Regency, Central Java, for their effect on corn seed growth. The germination experiment was conducted using a Completely Randomized Design (CRD) with four replications, treatment of 11 cyanobacteria strains, and added Control (S0). Surface-sterilized corn seeds (20 per treatment) were placed in sterile Petri dishes lined with sterile rice paper and cotton fibre. The experiment continued with an in-planta test using tubes containing a nutrient solution to observe the consistency of seed growth during the vegetative stage. The parameters observed were seed germination, plant height, root length, number of roots, and the fresh weight of shoots and roots. The results showed that cyanobacteria S1, S6, S7, and S8 significantly increased the germination and growth of sweet corn, providing promise for increasing corn productivity, especially in upland areas.
Effectiveness of acid-tolerant antagonist-based biofungicide in the control of basal stem rot disease caused by ganoderma in oil palm seedlings on peat soil
Authors: Supriyanto  , Sulistyowati Henny , Arifin Nur , Ruliyansyah Agus , Haris Ramadahan Tris
Published: January 2025

Oil palm is an important plantation commodity in Southeast Asia. As the world’s largest palm oil producer, Indonesia has always been associated with global warming because most of its plantation areas are on peatlands and their management is considered not environmentally friendly. In addition to land fertility problems, a serious problem in peatland oil palm cultivation is basal stem rot disease caused by the Ganoderma fungus. Until now, there has been no effective method to control this disease. Biological control is an environmentally friendly alternative method and is the focus of current development, but for peatland conditions, its development is limited by the ultra-low peat pH factor. This study aims to determine the effectiveness of biofungicides based on acid-tolerant antagonists in controlling basal stem rot disease in oil palm seedlings on peat soil. The study was conducted by testing a bio-fungicide formulation in powder formulation containing 3 isolates of acid-tolerant antagonists, namely Trichoderma viride B3J19, Trichoderma harzianum E4J8, and Trichoderma harzianum 13EJ15. Testing was carried out on oil palm seedlings in greenhouses and fields. The results in the greenhouse showed that after six months of observation, bio-fungicides were able to reduce the intensity of the disease by 13.34% with 1 application, while 3 applications were 66.67% compared to the positive control. Meanwhile, in the field, the use of bio-fungicides with 1 application could reduce the intensity of disease by 27.29%, while 3 applications were 90.90%. These results indicate that bio fungicides in powder formula containing acid-tolerant antagonists have the potential to be used as biological control agents for oil palm basal stem rot disease caused by Ganoderma in peatlands.
Characteristics of latosol soil after application of rice husk biochar in Bogor Regency, Indonesia
Authors: Rahmat Ali , Agustin Lia , Indriyani Indriyani , Alfakihuddin Muhammad Lukman Baihaqi , Nurhayati Siti , Kiswondo Sumiarjo , Amilia Euis , Akbarudin  , Saefullah Aep , Saefuddin Reskiana , Mutolib Abdul
Published: January 2025

Latosol soil is one of the predominant soil types in the Bogor region, but it is characterized by low nutrient content. One approach to improving soil conditions is the use of biochar as a soil amendment. Biochar, being rich in carbon, has the potential to enhance soil quality. This study aimed to examine the characteristics of soil after the application of rice husk biochar. The application of rice husk biochar was found to influence the characteristics of latosol soil. Higher biochar doses resulted in increased soil electrical conductivity and total carbon content, with the highest values recorded at a treatment level of 125 tons/ha, reaching 335.7 μS/cm and 4.71%, respectively. In this study, the addition of biochar had no effects on soil pH and total nitrogen content. Additionally, silicon content in the soil was enhanced by the application of rice husk biochar. Overall, the application of rice husk biochar can improve the quality of latosol soil in Bogor Regency.
Effectiveness of arbuscular mycorrhiza and calcite on soil macronutrient content and P uptake in palmarosa (Cymbopogon martinii)
Authors: Samanhudi  , Setyawati Andriyana , Rahayu Muji , Purnomo Djoko , Syahrina Aulia Fidia
Published: January 2025

Macronutrient levels are critical to support the sustainability and consistency of crop production of palmarosa. This study aims to determine the soil macronutrient content and the phosphorus uptake of palmarosa that cultivated with arbuscular mycorrhiza fungi (AMF) and calcite at various dosages. Experiment through a completely randomized design using AMF and calcite, each with four levels: AMF (0, 5, 15, and 25 g plant-1) and calcite (0, 2.5, 5, 7.5 tons ha-1). The results showed that the soil condition before AMF and calcite treatment was marginally suitable for palmarosa due to low available P content (7 ppm). The application of calcite increased soil calcium content by 114% directly proportional to the level of soil pH (7.3-7.6) which was positively correlated with the increase in calcite dosages. Dosages of AMF 25 g plant-1 and calcite 2.5 tons ha-1 suggested to be applied in Tawangmangu, Central Java, to improve soil suitability for palmarosa growing conditions. This application efficiently increases soil macronutrient content, particularly in enhancing the levels of soil P2O5 by 281%, available P by 57%, and P uptake in palmarosa by 82%.
Enhancing soybean productivity through agroforestry, organic waste fertilization, and mulching: A review about climate change
Authors: Wahidurromdloni Fauzan , Theresia Sri Budiastuti Maria , Supriyono
Published: January 2025

Some issues that will threaten agriculture now and in the future are declining productivity and increased risks due to climate change. However, agroforestry, organic waste fertilizers, and mulching are promising ways to address these challenges. They offer approaches that increase productivity and improve land adaptability to climate extremes. This review explores the integration of agroforestry, organic fertilizer from local waste and mulching systems as strategies to increase soybean productivity while ensuring sustainability. Agroforestry reduced soil erosion by 50% and increased soil carbon stocks by 26-34% at various depths. Organic fertilizers combined with inorganic inputs increased yields by 12.8-32.5%, while mulching further increased yields by 38.6-44.2%. These practices improve soil health, reduce reliance on chemical inputs and provide ecosystem services that support adaptation and mitigation strategies for climate change. This combination is expected to increase soybean production to meet global demand. However, adoption remains limited due to economic and technical constraints, particularly among smallholder farmers. Future studies should address cost-effective solutions and identify optimal zones for implementation.
Heat moisture treatment-induced changes in feed: A meta-analysis of effects on in vitro rumen fermentation
Authors: Rahmadani Mardiah , Susanto Irwan , Fidriyanto Rusli , Jayanegara Anuraga
Published: January 2025

Heat Moisture Treatment (HMT) is a promising approach to improve the efficiency of concentrate feed in ruminants by inducing changes in feed composition and in vitro rumen fermentation. This meta-analysis evaluates the impact of HMT on feed, focusing on fermentation characteristics and methane emissions. Data from the Scopus database were analyzed using a fixed-effect model, suitable for synthesizing studies with comparable conditions. HMT significantly reduces feed starch content (p<0.001), altering its nutritional profile. It decreases total volatile fatty acids (VFAs) (p<0.05), including acetate, propionate, and butyrate, and shifts the acetate-to-propionate ratio. These changes, alongside reduced ammonia, suggest benefits for rumen health, such as mitigating acidosis risk and improving feed efficiency. However, HMT negatively affects the digestibility of dry matter and organic matter, which may reduce nutrient availability. No significant effects were observed on crude protein digestibility or methane production. While HMT shows potential to enhance feed efficiency and support metabolic health, the trade-offs between reduced digestibility and fermentation benefits highlight the need for further research. These findings provide insights into balancing nutritional and metabolic outcomes when using HMT in ruminant diets.
Potential of corn cob compost in corn fertilization on alfisol soil
Authors: Purnomo Djoko , Setyaningrum Desy
Published: January 2025

Corn cobs as waste material after the seeds are removed have not been utilized so they have the potential to become pollutants. Alfisols as marginal land require improvement materials for cultivated land. The study aims to examine the potential of corn cob compost on the growth and yield of corn on alfisol soil. The study used a Randomized Block Design with a single factor, namely treatment with six levels, namely inorganic fertilizer (doses of 350, 125, and 100 kg.ha-1) and corn cob compost with doses of 2.5; 5.0; 7.0; 10.0; 12.5 tons.ha-1. Repeated three times. The application of corn cob compost did not differ from the application of inorganic fertilizers on the number of cobs (fruit.m-2), seed weight (g.m-2), chlorophyll a, b, and total content (μgg-1). The inorganic fertilizer treatment showed the highest seed weight of 550.2 kg.ha-1. Corn cob compost dose of 7.5 tons.ha-1 increases the number of cobs per m2, weight of 100 seeds, number of seeds per m2. Corn cob compost has the potential to replace inorganic fertilizers in corn cultivation on Alfisol soil.