bluuebunny/crossref_metadata_2025 huggingface dataset:
MDM2 provides TOP2 poison resistance by promoting proteolysis of TOP2βcc in a p53-independent manner
Authors: Shu Jianfeng , Jiang Jinni , Wang Xiaofang , Yang Xuejie , Zhao Guofang , Cai Ting
Published: January 2024

DNA topoisomerase II (TOP2) is an enzyme that performs a critical function in manipulating DNA topology during replication, transcription, and chromosomal compaction by forming a vital intermediate known as the TOP2-DNA cleavage complex (TOP2cc). Although the TOP2cc is often transient, stabilization can be achieved by TOP2 poisons, a family of anti-cancer chemotherapeutic agents targeting TOP2, such as etoposide (VP-16), and then induce double-strand breaks (DSBs) in cellular DNA. TOP2cc first needs to be proteolyzed before it can be processed by TDP2 for the removal of these protein adducts and to produce clean DNA ends necessary for proper repair. However, the mechanism by which TOP2βcc is proteolyzed has not been thoroughly studied. In this study, we report that after exposure to VP-16, MDM2, a RING-type E3 ubiquitin ligase, attaches to TOP2β and initiates polyubiquitination and proteasomal degradation. Mechanistically, during exposure to VP-16, TOP2β binds to DNA to form TOP2βcc, which promotes MDM2 binding and subsequent TOP2β ubiquitination and degradation, and results in a decrease in TOP2βcc levels. Biologically, MDM2 inactivation abrogates TOP2β degradation, stabilizes TOP2βcc, and subsequently increases the number of TOP2β-concealed DSBs, resulting in the rapid death of cancer cells via the apoptotic process. Furthermore, we demonstrate the combination activity of VP-16 and RG7112, an MDM2 inhibitor, in the xenograft tumor model and in situ lung cancer mouse model. Taken together, the results of our research reveal an underlying mechanism by which MDM2 promotes cancer cell survival in the presence of TOP2 poisons by activating proteolysis of TOP2βcc in a p53-independent manner, and provides a rationale for the combination of MDM2 inhibitors with TOP2 poisons for cancer therapy.
Development of macrophage-associated genes prognostic signature predicts clinical outcome and immune infiltration for sepsis
Authors: Ma Guangxin , Wu Xiaolin , Qi Cui , Yu Xiaoning , Zhang Fengtao
Published: January 2024

Sepsis is a major global health problem, causing a significant burden of disease and death worldwide. Risk stratification of sepsis patients, identification of severe patients and timely initiation of treatment can effectively improve the prognosis of sepsis patients. We procured gene expression datasets for sepsis (GSE54514, GSE65682, GSE95233) from the Gene Expression Omnibus and performed normalization to mitigate batch effects. Subsequently, we applied weighted gene co-expression network analysis to categorize genes into modules that exhibit correlation with macrophage activity. To pinpoint macrophage-associated genes (MAAGs), we executed differential expression analysis and single sample gene set enrichment analysis. We then established a prognostic model derived from four MAAGs that were significantly differentially expressed. Functional enrichment analysis and immune infiltration assessments were instrumental in deciphering the biological mechanisms involved. Furthermore, we employed principal component analysis and conducted survival outcome analyses to delineate molecular subgroups within sepsis. Four novel MAAGs—CD160, CX3CR1, DENND2D, and FAM43A—were validated and used to create a prognostic model. Subgroup classification revealed distinct molecular profiles and a correlation with 28-day survival outcomes. The MAAGs risk score was developed through univariate Cox, LASSO, and multivariate Cox analyses to predict patient prognosis. Validation of the risk score upheld its prognostic significance. Functional enrichment implicated ribonucleoprotein complex biogenesis, mitochondrial matrix, and transcription coregulator activity in sepsis, with an immune infiltration analysis indicating an association between MAAGs risk score and immune cell populations. The four MAAGs exhibited strong diagnostic capabilities for sepsis. The research successfully developed a MAAG-based prognostic model for sepsis, demonstrating that such genes can significantly stratify risk and reflect immune status. Although in-depth mechanistic studies are needed, these findings propose novel targets for therapy and provide a foundation for future precise clinical sepsis management.
Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia
Authors: Ouh Yung-Taek , Kim Tae Jin , Ju Woong , Kim Sang Wun , Jeon Seob , Kim Soo-Nyung , Kim Kwang Gi , Lee Jae-Kwan
Published: January 2024

Cervical cancer, the fourth most common cancer among women worldwide, often proves fatal and stems from precursor lesions caused by high-risk human papillomavirus (HR-HPV) infection. Accurate and early diagnosis is crucial for effective treatment. Current screening methods, such as the Pap test, liquid-based cytology (LBC), visual inspection with acetic acid (VIA), and HPV DNA testing, have limitations, requiring confirmation through colposcopy. This study introduces CerviCARE AI, an artificial intelligence (AI) analysis software, to address colposcopy challenges. It automatically analyzes Tele-cervicography images, distinguishing between low-grade and high-grade lesions. In a multicenter retrospective study, CerviCARE AI achieved a remarkable sensitivity of 98% for high-risk groups (P2, P3, HSIL or higher, CIN2 or higher) and a specificity of 95.5%. These findings underscore CerviCARE AI's potential as a valuable diagnostic tool for highly accurate identification of cervical precancerous lesions. While further prospective research is needed to validate its clinical utility, this AI system holds promise for improving cervical cancer screening and lessening the burden of this deadly disease.
Identification of four latent classes of acute respiratory distress syndrome using PaO2/FIO2 ratio: an observational cohort study
Authors: Loewen Calvin , Dufault Brenden , Mooney Owen , Olafson Kendiss , Funk Duane J.
Published: January 2024

Biological phenotypes in patients with the acute respiratory distress syndrome (ARDS) have previously been described. We hypothesized that the trajectory of PaO2/FIO2 ratio could be used to identify phenotypes of ARDS. We used a retrospective cohort analysis of an ARDS database to identify latent classes in the trajectory of PaO2/FIO2 ratio over time. We included all adult patients admitted to an intensive care unit who met the Berlin criteria for ARDS over a 4-year period in tertiary adult intensive care units in Manitoba, Canada. Baseline demographics were collected along with the daily PaO2/FIO2 ratio collected on admission and on days 1–7, 14 and 28. We used joint growth mixture modeling to test whether ARDS patients exhibit distinct phenotypes with respect to both longitudinal PaO2/FIO2 ratio and survival. The resulting latent classes were compared on several demographic variables. In our study group of 209 patients, we found that four latent trajectory classes of PaO2/FIO2 ratio was optimal. These four classes differed in their baseline PaO2/FIO2 ratio and their trajectory of improvement during the 28 days of the study. Despite similar baseline characteristics the hazard for death for the classes differed over time. This difference was largely driven by withdrawal of life sustaining therapy in one of the classes. Latent classes were identified in the trajectory of the PaO2/FIO2 ratio over time, suggesting the presence of different ARDS phenotypes. Future studies should confirm the existence of this finding and determine the cause of mortality differences between classes.
Efficacy of the insect growth regulator novaluron in the control of dengue vector mosquitoes Aedes aegypti and Ae. albopictus
Authors: Herath J. M. Manel K. , De Silva W. A. Priyanka P. , Weeraratne Thilini C. , Karunaratne S. H. P. Parakrama
Published: January 2024

Insect Growth Regulator (IGR) novaluron is an alternative to synthetic neuro-inhibitory insecticides. Present study was designed to assess appropriate dosages of novaluron for dengue vector control. Larvae of Aedes aegypti and Ae. albopictus were exposed to a concentration series of novaluron (Rimon EC10) for two fixed exposure periods of 7-days and 14-days to determined LC50 and LC99 values. Inhibition of adult emergence (IE50 and IE99) was determined by a 14-day exposure. Semi-field experiments were conducted by exposing cohorts of Ae. aegypti larvae to IE99, 2 × IE99 and 10 × IE99 novaluron concentrations in water storage buckets (10 L) and plastic barrels (200 L). For the 7-day exposure, LC50 values were 0.047–0.049 ppm and LC99 were 0.144–0.151 ppm. For 14-day exposure, these values were 0.002–0.005 ppm and 0.006–0.01 ppm respectively. For both species, IE99 was 0.001 ppb under semi-field conditions, and was effective for nearly 2 months. Novaluron concentration 0.01 ppb was effective up to 3 months, with an IE of 89–95%. Authorities should critically review a reduction of the presently recommended field dosage of 200 ppm novaluron by × 100 or more. This would provide the same efficacy but mitigate environmental pollution, development of vector resistance, and financial losses.
A novel CT-based radiomics model for predicting response and prognosis of chemoradiotherapy in esophageal squamous cell carcinoma
Authors: Kasai Akinari , Miyoshi Jinsei , Sato Yasushi , Okamoto Koichi , Miyamoto Hiroshi , Kawanaka Takashi , Tonoiso Chisato , Harada Masafumi , Goto Masakazu , Yoshida Takahiro , Haga Akihiro , Takayama Tetsuji
Published: January 2024

No clinically relevant biomarker has been identified for predicting the response of esophageal squamous cell carcinoma (ESCC) to chemoradiotherapy (CRT). Herein, we established a CT-based radiomics model with artificial intelligence (AI) to predict the response and prognosis of CRT in ESCC. A total of 44 ESCC patients (stage I-IV) were enrolled in this study; training (n = 27) and validation (n = 17) cohorts. First, we extracted a total of 476 radiomics features from three-dimensional CT images of cancer lesions in training cohort, selected 110 features associated with the CRT response by ROC analysis (AUC ≥ 0.7) and identified 12 independent features, excluding correlated features by Pearson’s correlation analysis (r ≥ 0.7). Based on the 12 features, we constructed 5 prediction models of different machine learning algorithms (Random Forest (RF), Ridge Regression, Naive Bayes, Support Vector Machine, and Artificial Neural Network models). Among those, the RF model showed the highest AUC in the training cohort (0.99 [95%CI 0.86–1.00]) as well as in the validation cohort (0.92 [95%CI 0.71–0.99]) to predict the CRT response. Additionally, Kaplan-Meyer analysis of the validation cohort and all the patient data showed significantly longer progression-free and overall survival in the high-prediction score group compared with the low-prediction score group in the RF model. Univariate and multivariate analyses revealed that the radiomics prediction score and lymph node metastasis were independent prognostic biomarkers for CRT of ESCC. In conclusion, we have developed a CT-based radiomics model using AI, which may have the potential to predict the CRT response as well as the prognosis for ESCC patients with non-invasiveness and cost-effectiveness.
The physical properties and photocatalytic activities of green synthesized ZnO nanostructures using different ginger extract concentrations
Authors: Aliannezhadi Maryam , Mirsanaee Seyedeh Zahra , Jamali Mohaddeseh , Shariatmadar Tehrani Fatemeh
Published: January 2024

The green synthesis method which is aligned with the sustainable development goals (SDGs) theory, is proposed to synthesize ZnO nanoparticles using ginger extract to treat the acidic wastewater and acidic factory effluent as a current challenge and the effects of the concentration of extracts on the synthesized ZnO nanostructures are investigated. The results declare that the single-phase hexagonal ZnO is formed using ginger extract concentration of less than 25 mL and the crystallite size of green synthesized ZnO NPs increased with increasing the concentration of ginger extract. Also, the significant effects of ginger extract concentration on the morphology of nanoparticles (nanocone, nanoflakes, and flower-like) and the particle size are demonstrated. The low concentration of ginger extract leads to the formation of the ZnO nanoflakes, while the flower-like structure is gradually completed by increasing the concentration of the ginger extract. Furthermore, significant changes in the specific surface area (SSA) of the samples are observed (in the range of 6.1–27.7 m2/g) by the variation of ginger extract concentration and the best SSA is related to using 10 mL ginger extract. Also, the strong effect of using ginger extract on the reflectance spectra of the green synthesized ZnO NPs, especially in the UV region is proved. The indirect (direct) band gap energies of the ZnO samples are obtained in the range of 3.09–3.20 eV (3.32–3.38 eV). Furthermore, the photocatalytic activities of the samples for the degradation of methylene blue indicate the impressive effect of ginger extract concentration on the degradation efficiency of ZnO nanoparticles and it reaches up to 44% and 83% for ZnO NPs prepared using 5 mL ginger extract in a pH of 4.3 and 5.6, respectively. This study provided new insights into the fabrication and practical application of high-performance ZnO photocatalysts synthesized using ginger extract in degrading organic pollutants in an acidic solution.
Acute effects of high intensity interval training versus moderate intensity continuous training on haemostasis in patients with coronary artery disease
Authors: Košuta Daniel , Novaković Marko , Božič Mijovski Mojca , Jug Borut
Published: January 2024

Exercise training is associated with an acute net increase in coagulation, which may increase the risk of atherothrombosis in coronary artery disease (CAD) patients. We sought to compare the acute haemostatic effects of a bout of moderate-intensity continuous (MICT) and high-intensity interval training (HIIT) in patients with CAD. Patients after a recent myocardial infarction were randomized into a HIIT or MICT session of exercise training on a stationary bike. Blood was sampled at baseline, after the exercise bout and after a one-hour resting period. We measured overall haemostatic potential (OHP), overall coagulation potential (OCP), fibrinogen, D-dimer and von Willebrand factor (vWF) and calculated overall fibrinolytic potential (OFP). Linear mixed models for repeated measures were constructed to assess the treatment effect. A total of 117 patients were included. OCP, OHP, fibrinogen, D-dimer and vWF significantly increased after exercise and returned to baseline after a one-hour rest, OFP decreased after exercise and returned to baseline levels after a one-hour rest. Linear mixed models showed a significant difference between HIIT and MICT in fibrinogen (p 0.043) and D-dimer (p 0.042). Our study has shown that an exercise bout is associated with a transient procoagulant state in patients with CAD, with similar exercise-induced haemostatic changes for HIIT and MICT.
Past volcanic activity predisposes an endemic threatened seabird to negative anthropogenic impacts
Authors: Teixeira Helena , Le Corre Matthieu , Michon Laurent , Nicoll Malcolm A. C. , Jaeger Audrey , Nikolic Natacha , Pinet Patrick , Couzi François-Xavier , Humeau Laurence
Published: January 2024

Humans are regularly cited as the main driver of current biodiversity extinction, but the impact of historic volcanic activity is often overlooked. Pre-human evidence of wildlife abundance and diversity are essential for disentangling anthropogenic impacts from natural events. Réunion Island, with its intense and well-documented volcanic activity, endemic biodiversity, long history of isolation and recent human colonization, provides an opportunity to disentangle these processes. We track past demographic changes of a critically endangered seabird, the Mascarene petrel Pseudobulweria aterrima, using genome-wide SNPs. Coalescent modeling suggested that a large ancestral population underwent a substantial population decline in two distinct phases, ca. 125,000 and 37,000 years ago, coinciding with periods of major eruptions of Piton des Neiges. Subsequently, the ancestral population was fragmented into the two known colonies, ca. 1500 years ago, following eruptions of Piton de la Fournaise. In the last century, both colonies declined significantly due to anthropogenic activities, and although the species was initially considered extinct, it was rediscovered in the 1970s. Our findings suggest that the current conservation status of wildlife on volcanic islands should be firstly assessed as a legacy of historic volcanic activity, and thereafter by the increasing anthropogenic impacts, which may ultimately drive species towards extinction.
ChemRAP uncovers specific mRNA translation regulation via RNA 5′ phospho-methylation
Authors: Ipas Hélène , Gouws Ellen B , Abell Nathan S , Chiou Po-Chin , Devanathan Sravan K , Hervé Solène , Lee Sidae , Mercado Marvin , Reinsborough Calder , Halabelian Levon , Arrowsmith Cheryl H , Xhemalçe Blerta
Published: January 2024

5′-end modifications play key roles in determining RNA fates. Phospho-methylation is a noncanonical cap occurring on either 5′-PPP or 5′-P ends. We used ChemRAP, in which affinity purification of cellular proteins with chemically synthesized modified RNAs is coupled to quantitative proteomics, to identify 5′-Pme “readers”. We show that 5′-Pme is directly recognized by EPRS, the central subunit of the multisynthetase complex (MSC), through its linker domain, which has previously been involved in key noncanonical EPRS and MSC functions. We further determine that the 5′-Pme writer BCDIN3D regulates the binding of EPRS to specific mRNAs, either at coding regions rich in MSC codons, or around start codons. In the case of LRPPRC (leucine-rich pentatricopeptide repeat containing), a nuclear-encoded mitochondrial protein associated with the French Canadian Leigh syndrome, BCDIN3D deficiency abolishes binding of EPRS around its mRNA start codon, increases its translation but ultimately results in LRPPRC mislocalization. Overall, our results suggest that BCDIN3D may regulate the translation of specific mRNA via RNA-5′-Pme.
Interferon-epsilon is a novel regulator of NK cell responses in the uterus
Authors: Mayall Jemma R , Horvat Jay C , Mangan Niamh E , Chevalier Anne , McCarthy Huw , Hampsey Daniel , Donovan Chantal , Brown Alexandra C , Matthews Antony Y , de Weerd Nicole A , de Geus Eveline D , Starkey Malcolm R , Kim Richard Y , Daly Katie , Goggins Bridie J , Keely Simon , Maltby Steven , Baldwin Rennay , Foster Paul S , Boyle Michael J , Tanwar Pradeep S , Huntington Nicholas D , Hertzog Paul J , Hansbro Philip M
Published: January 2024

The uterus is a unique mucosal site where immune responses are balanced to be permissive of a fetus, yet protective against infections. Regulation of natural killer (NK) cell responses in the uterus during infection is critical, yet no studies have identified uterine-specific factors that control NK cell responses in this immune-privileged site. We show that the constitutive expression of IFNε in the uterus plays a crucial role in promoting the accumulation, activation, and IFNγ production of NK cells in uterine tissue during Chlamydia infection. Uterine epithelial IFNε primes NK cell responses indirectly by increasing IL-15 production by local immune cells and directly by promoting the accumulation of a pre-pro-like NK cell progenitor population and activation of NK cells in the uterus. These findings demonstrate the unique features of this uterine-specific type I IFN and the mechanisms that underpin its major role in orchestrating innate immune cell protection against uterine infection.
Cathodic electrochemiluminescence of L012 and its application in antioxidant detection
Authors: Tan Mingqian , Wang Yafeng , Hong Ziying , Zhou Ping , Jiang Jie , Su Bin
Published: January 2024

The mechanism for the generation of cathodic ECL by an L012–O2 system is unraveled. Then this cathodic ECL system is used for measuring the antioxidant capacity of commercial juice with Trolox as a standard.
A sensitive sensor based on carbon dots for the determination of Fe3+ and ascorbic acid in foods
Authors: Du Qian , Zhao Xiaoyu , Mei Xiping , Zhao Yaqin , Dong Chuan , Li Junfen
Published: January 2024

A continuous fluorescence sensing of Fe3+ and AA using an “on–off–on” method, and its use for the determination in real samples were developed.
AsymPol-TEKs as efficient polarizing agents for MAS-DNP in glass matrices of non-aqueous solvents
Authors: Harrabi Rania , Halbritter Thomas , Alarab Shadi , Chatterjee Satyaki , Wolska-Pietkiewicz Malgorzata , Damodaran Krishna K. , van Tol Johan , Lee Daniel , Paul Subhradip , Hediger Sabine , Sigurdsson Snorri Th. , Mentink-Vigier Frederic , De Paëpe Gaël
Published: January 2024

Two polarizing agents from the AsymPol family, AsymPol-TEK and cAsymPol-TEK (methyl-free version) are introduced for MAS-DNP applications in non-aqueous solvents.
Exploring the interplay of liquid crystal orientation and spherical elastic shell deformation in spatial confinement
Authors: Liu You-Lu , Zhu You-Liang , Li Yan-Chun , Lu Zhong-Yuan
Published: January 2024

Gay–Berne liquid crystals confined in a spherical elastic shell with different hardness values were studied by molecular dynamics simulations. It transitions from a perfect sphere to an icosahedron, and the liquid crystal molecules inside are arranged in a more orderly manner.
Study of high-pressure thermophysical properties of orthocarbonate Sr3CO5 using deep learning molecular dynamics simulations
Authors: Wang Xin-Xuan , Song Ting , Lei Zhen-Shuai , Sun Xiao-Wei , Tian Jun-Hong , Liu Zi-Jiang
Published: January 2024

Using deep learning molecular dynamics simulations, we predicted the elastic and thermodynamic properties of Sr3CO5-Cmcm and Sr3CO5-I4/mcm under high-temperature and high-pressure conditions.
The influence of heteroatoms on the circularly polarized luminescence performance of [7]helicene derivatives: aromatic vs. non-aromatic five-membered rings
Authors: Liu Yan , Ma Zhiying , Su Hang , Wei Ran , Shen Zhitao , Wang Hua
Published: January 2024

[7]Helicene derivatives with non-aromatic five-membered rings and heavy heteroatoms (Si and Ge) can effectively improve both ΦF and glum, providing a strategy for the design of new CPL materials.
Enhanced OER catalytic activity of single metal atoms supported by the pentagonal NiN2 monolayer: insight from density functional theory calculations
Authors: Sun Dong-Yin , Li Long-Hui , Yuan Guo-Tao , Ouyang Yu-Lou , Tan Rui , Yin Wen-Jin , Wei Xiao-Lin , Tang Zhen-Kun
Published: January 2024

Single Ir atom embedded into NiN2 monolayer exhibit high OER catalytic activity with 0.28 eV overpotential. The OER catalytic activity of Ir atom embedded into NiN2 monolayer can further enhanced by strain.
Vapor phase deposition of perovskite photovoltaics: short track to commercialization?
Authors: Abzieher Tobias , Moore David T. , Roß Marcel , Albrecht Steve , Silvia Jared , Tan Hairen , Jeangros Quentin , Ballif Christophe , Hoerantner Maximilian T. , Kim Beom-Soo , Bolink Henk J. , Pistor Paul , Goldschmidt Jan Christoph , Chiang Yu-Hsien , Stranks Samuel D. , Borchert Juliane , McGehee Michael D. , Morales-Masis Monica , Patel Jay B. , Bruno Annalisa , Paetzold Ulrich W.
Published: January 2024

While perovskite-based photovoltaics is progressing toward commercialization, it remains an open question which fabrication technology – solution-based, vapor-based, or combinations – will pave the way to faster economic breakthrough.
Carbon footprint and mitigation strategies of three chemistry laboratories
Authors: Estevez-Torres André , Gauffre Fabienne , Gouget Guillaume , Grazon Chloé , Loubet Philippe
Published: January 2024

Three chemistry laboratories assess their 2019 carbon footprint. Purchases and energy are key emissions. Mitigation aims for a 40–50% global reduction by 2030, addressing all categories.
A novel green biorefinery strategy for corn stover by pretreatment with weak alkali-assisted deep eutectic solvents
Authors: Wang Zhaobao , Zhou Jie , Yin Yating , Mu Mengqian , Liu Yanzhou , Zhou Disheng , Wang Weitao , Zuo Xinyun , Yang Jianming
Published: January 2024

The strategy using deep eutectic solvent–sodium bicarbonate (DES–SB) has achieved a high delignification efficiency, excellent carbohydrate digestibility (glucose yield, 97.47%; xylose yield, 92.93%), and regenerated lignin with great potential.
Performance of single-cell ICP-MS for quantitative biodistribution studies of silver interactions with bacteria
Authors: Gimenez-Ingalaturre Ana C. , Abad-Álvaro Isabel , Goñi Pilar , Billimoria Kharmen , Goenaga-Infante Heidi , Laborda Francisco
Published: January 2024

Single-cell inductively couple plasma mass spectrometry (SC-ICP-MS) method development for the study of silver interactions with bacteria to provide information about silver biodistribution in bacteria and spheroplasts.
Novel fabrication of mixed wettability micromodels for pore-scale studies of fluid–rock interactions
Authors: AlOmier Abdullah , Cha Dongkyu , Ayirala Subhash , Al-Yousef Ali , Hoteit Hussein
Published: January 2024

Fabrication of micromodels mimicking natural rocks with mixed wettability, combining hydrophobic and hydrophilic characteristics. Surface modifications represent mineral heterogeneity, highlighting diverse wetting properties in the pore structure.
Pd–IL@H-UiO-66-NH2: a hollow multi-functional hierarchical composite for tandem catalysis
Authors: Li Ruidong , Zhao Bo , Chang Ganggang , Ke Shanchao , Chen Minjie , Dong Didi , Pu Chun , Yang Xiaoyu
Published: January 2024

A spatial base-metal hollow multifunctional catalyst Pd–IL@H-UiO-66-NH2 was successfully fabricated, which showed significantly enhanced product selectivity towards the one-pot Knoevenagel condensation–hydrogenation reaction.
Validating the reconstruction of DNA silver nanoclusters induced by different DNA sequence via HPLC and exploring the optical properties of reconstructed DNA silver nanoclusters
Authors: Chou Tzu-Pei , Chang Po-Wei , Raufa Abizard Sarno Faraz , Chang Chih-Wei
Published: January 2024

We investigated the influence of redundant DNA templates on the optical properties of DNA-stabilized silver nanoclusters (DNA AgNCs).
CdIn2S4 microspheres embedded with mesoporous Zn-doped g-C3N4 ultrathin nanosheets for efficient photocatalytic hydrogen evolution
Authors: Tian Shaopeng , Ren Huaping , Sun Wuge , Song Yixuan , Ge Hang , Yang Anye , Zheng Weilong , Zhao Yuzhen
Published: January 2024

A CdIn2S4/Zn–g-C3N4 heterojunction with a mesoporous structure is prepared, which is favorable to hinder the recombination of photogenerated charges and benefits its photocatalytic performance a lot.
A novel route to fabricate a superhydrophobic surface on a copper substrate without additional low surface energy materials
Authors: Jiang Fan , Song Tongyu , Wu Hongyan , Yang Xinye , Li Shaofu , Xiang Maoqiao
Published: January 2024

A facile fabrication route towards a highly corrosion-resistant superhydrophobic coating for copper.
Adaptive multi‐level differential coupling control strategy for dual‐motor servo synchronous system based on global backstepping super‐twisting control
Authors: Wang Taoyu , Sun Shiyan
Published: January 2024

A new dual‐motor servo steering system with improved reliability and safety is proposed. But, despite the advantages of the proposed servo system, it is strongly coupled, non‐linear and multivariable, where the biggest challenge lies in its tracking and synchronization control. To improve the tracking and synchronization control performance of the proposed servo system, a tracking and synchronization control strategy based on backstepping super‐twisting control and multi‐level differential coupling is presented. First, a parallel model of the dual‐motor is established. Then, backstepping and super‐twisting control algorithms are integrated while adaptively optimizing key parameters to ensure the robustness and tracking performance of each motor. After that, an angular synchronization controller with multi‐level differential coupling and backstepping super‐twisting algorithm is proposed to compensate for the synchronization error of the dual‐motor system caused by parameter uncertainty. Finally, the simulation is carried out using Simulink to verify the effectiveness of the proposed control strategy.
Comparing reference‐free WiFi radar sensing approaches for monitoring people and drones
Authors: Di Seglio Marco , Filippini Francesca , Bongioanni Carlo , Colone Fabiola
Published: January 2024

The use of WiFi signals for sensing purposes has attracted a lot of interest from both the radar and communications communities and several techniques have been explored. In the attempt of meeting the requirements for small sensor size, compactness, and easy deployment, the authors consider reference‐free approaches, namely approaches that do not require a good copy of the transmitted waveform to be available at the radar receiver. To this end, the authors first resort to a passive radar‐based processing scheme that only exploits the invariant a priori known initial portion of the physical layer protocol data unit, that is, the PHY Preamble, and its limitations in practical applications is investigated. Specifically, the authors show that, with this approach, an accurate time, phase, and frequency synchronization is essential and a possible strategy is investigated. As an alternative solution the authors consider a forward scatter radar‐based approach where only the amplitude modulation of the received signal is exploited to detect the presence of a moving target thus avoiding the need to know the transmitted signal. For the first time, the authors comparatively investigate advantages and drawbacks of the two reference‐free approaches and present practical strategies to handle the limitations observed. The results are reported for experimental tests with people and drones using WiFi transmissions in the 2.4 and 5 GHz band.
Biodiversity of Coral Reefs and Reef Fishes in Pasir Putih Situbondo
Authors: Y Cahyani Indri , Nugroho Achmad Faried
Published: January 2024

Biodiversity index assessment is an analytical method to determine the stability of an ecosystem. Coral reefs are the primary productivity for fish resources and other supporting organisms. Along with the increasing threats and needs for utilization, it has resulted in a decrease in cover followed by a decrease in reef fish biota. Therefore, it is necessary to identify and monitor the condition of coral reef biodiversity and reef fish. The purpose of this study was to analyze the condition of coral reef biodiversity and reef fish in Pasir Putih Situbondo. The results showed poor (22.06%) to good (59.16%) status coral cover conditions, the main constituents of 3 families namely Poritidae, Acroporidae and Fungiidae. Poritidae family dominated by Porites rus (CS), Acroporidae dominated by Acropora muricata (ACB) and Fungiidae dominated by Fungia (CMR). The average value of H' was 2.39; E was 0.80 and D was 0.15. The main fish category is dominated by the family Pomacentridae species Pomacentrus brachialis at 539 ind/m2, family Caesionidae species Pterocaesio tessellata at 1,179 ind/m2 and family Chaetodontidae species Chaetodon octofasciatus at 45 ind/m2. The average value of H' index was 2.74; E was 0.69 and D was 0.13.
Remediation of Remains Place Gold Mining Land Using Boiler Ash and Sludge from Palm Oil Liquid Waste Processing
Authors: Hermis Hermis , Mulyati Sri , Aulia M. Prayogie , Ichwana Ichwana , Simina Silmina , Arahman Nasrul
Published: January 2024

The activity of placer gold mining has ruined the ecosystem by disturbing the upper soil layers, contaminating waterways, and leading to sedimentation downstream. This study is being carried out in order to improve soil quality in Tanoh Mirah Village, Sungai Mas Subdistrict, West Aceh Regency, Aceh Province, Indonesia. The main objective is to explore the impact of applying boiler ash and sludge from the palm oil liquid waste processing on enhancing the fertility of soil in areas previously used for mining activites. Infertile soil samples from the remains mining site were treated with a specific composition of boiler ash and sludge, placed in 5 kg plastic containers, and stored for 15 days. Subsequently, soil pH, accessible phosphorus (P), organic carbon (C), total nitrogen (N), and exchangeable potassium (K) analyses were performed. The research findings demonstrate that after the remediation treatment, soil quality improved significantly. The soil's organic carbon content increased from 0.42% to 2.92% after applying 1,500 grams of sludge. The total nitrogen level increased from 0.02%. to 0.2% after treated with 1,500 grams of sludge, and 500 grams of boiler ash. The phosphorus content of the soil increased up to 123.13 mg/kg from original condition of 1.3 mg/kg, when 1,500 grams of boiler ash were added. In summary, boiler ash and sludge remain from the palm oil industry’s waste processing activities have the potential to be used for enhacing the quality of soil damaged by placer gold mining processes.
Monitoring coastal water quality using trios ramses hyperspectral reflectance data
Authors: Adawiah Syifa W. , Supriatna  , Massita M.M.
Published: January 2024

The coastal area is very strategic as the center of national economic activity. Coastal areas that have strategic value from the potential of aquatic resources and environmental services, among others, are located on the northern coast of the Java Sea, one of which is Muaragembong. The Muaragembong coast in general has a problem of decreasing water quality. One of the water quality parameters that is often used to measure conditions in the field is Total Suspended Solid (TSS). Monitoring the concentration of TSS in a waters can be done through an approach, namely the development of an empirical model using remote sensing data. In addition to satellite imagery data, remote sensing data can also be performed by measuring the spectral reflection of an aquatic object using a tool called a radiometer. This study aims to build an empirical model using TRIO RAMSES data which is simulated into a combination of wavelengths from the Sentinel 2 and Landsat 8 bands to be able to estimate TSS concentrations in waters.The results showed that Reflectance Remote Sensing (Rrs) from TRIOS RAMSES data which was simulated into the wavelength range of Sentinel 2A image data was able to build an empirical model using multivariate band combinations. The results obtained on Sentinel 2 imagery show an R2 value of 0.68 and RMSE 113.04 mg/L.
Microplastic characteristics in several land covers in Banda Aceh and Aceh Besar
Authors: Darusman  , Syakur  , Zaitun  , Ramli I.
Published: January 2024

Plastic is one of the materials that is often used by people who are difficult to decompose. The decomposed plastic will become several parts which are termed macro plastic and micro plastic. Plastic will accumulate in soil and water can release chemicals that will endanger plant health. The purpose of this paper is to identify the accumulation of microplastics in several land covers. The research started with sampling on land cover at Mini Sport center Universitas Syiah Kuala (Gelanggang Park), Experimental Farm of Faculty of Agriculture, Urban Forest, Community Park (Tahura), and Edge of cross road (sibreh). Each replicate was sampled amount to 30 top soil samples (0-5 cm) and 30 subsoil samples (5-20 cm). Total soil samples per location point were 6 samples. The stages carried out were starting from drying the sample, separating the sediment, removing the organic material, separating the solid and identifying microplastic. Results found that the most dominant type of microplastics found at each sample point is the Fragment type of microplastics with 164 particles. Then fiber type microplastics with a particle count of 103 particles. While the least found is the type of microplastic film with a particle count of 92 particles. At Gelanggang Park, we found a high abundance of Film species and a moderate abundance of Fiber species. The Urban Forest had a low abundance of all particle types. The most common colour appearing in the data are Brown and Grey, with a total of 210 and 73 respectively. The colours dominate compared to other colour across locations and layers, there are differences in the number of colours between the Lower and Upper layers at each site.
Evaluation Of Solid Waste Handling In Kendari City
Authors: Wahab Binas Anis , Warmadewanthi I.D.A.A.
Published: January 2024

The volume of waste generated in Kendari City will increase by 290 tons/day in 2022. Based on Perwali Number 23 of 2022, the percentage of waste transported to the landﬁll is 91.01% and waste that is not transported reaches 8.99%. Determining the TPS units to be evaluated using the purposive sampling method based on TPS units that have more than one service area. The determination of 2 TPS 3R units to be evaluated was due to the number of existing TPS 3R units in Kendari City. The generation data analysis method uses the Load Count Analysis method and composition measurement uses the quartering method. Evaluation of TPS facilities in Kendari City does not meet SNI 324-2008 standards. TPS 3R speciﬁcations meet standards but the level of waste reduction is very minimal. The average waste generation rate in Kendari City is 0.86 kg/person.day. The reduction in existing waste was 21.45 kg/day and after optimization it became 74.2%. With a service percentage of 67%.
Geological Mapping Optimisation Using Satellite Gravity, Satellite Imagery, and Seismic Shear Velocity (Vs30) to Monitor Lithological Condition in Geothermal Area of Mount Salak, West Java
Authors: Putra Dhea Pratama Novian , Utama Widya , Garini Sherly Ardhya , Indriani Rista Fitri
Published: January 2024

Conventional geological mapping has several challenges such as limitation of area coverage, tough terrain, unstable weather condition, high-cost survey, also limitation of expert geologist that capable to do geological mapping. Remote sensing is an alternative solution to geological mapping through the combination of satellite gravity, satellite imagery, and seismic shear wave velocity. This research aims to optimise geological mapping activity in the Mount Salak geothermal area from ineffective area coverage mapping and inefficient budgeting allocation. Integration of rock density from satellite gravity, lithological distribution from satellite imagery, and seismic shear wave velocity from Vs30 are giving more detailed lithological units interpretation with specific physical conditions. There are two main area of Mount Salak that should be preserved geothermal resource sustainable. Northeast area needs to preserve heat source and groundwater recharge area, that consist of dense vegetation as landcover, relatively high rock density value (2.30 - 2.50 gr/cm3), high seismic shear wave velocity (600 – 900 m/s), also dominantly covers by Andesitic-Basaltic Lava. Southwest area preserve reservoir and caprock of geothermal conceptual model, where covers by dense vegetation with several bare land as geothermal wells and powerplants, relatively low rock density value (2.00 – 2.20 gr/cm3), moderate seismic shear wave velocity value (450-750 m/s), also dominated by several pyroclastic product such as Lapilli and Tuff. This research shows good indication in geothermal resource preservation in the Mount Salak, that keep natural aspect of geothermal conceptual model still preserved well.
Analysis of the Hulls Floater Distance in the Manoeuvrability of the N219 Floatplane: An Experimental Approach in the Open Water Test
Authors: Rochmad Alif Nur , Sulisetyono Aries
Published: January 2024

Floatplanes necessitate the utilization of floaters that possess the capacity to facilitate aircraft manoeuvring activities, hence safeguarding passengers against potential hazards associated with sea-based crashes. This paper is to analyse the impact of the manoeuvrability of the N219 floatplane on multiple variables, such as the distance between catamaran hulls, trim angle, and cruising speed. The selection of the open-free-running test method for the testing model is based on its advantages, including its costeffectiveness, simplicity, and demonstrated accuracy in yielding reliable outcomes. The floatplane model is outfitted with a remote-control system that is connected through a wireless communication system. The trajectory of the floatplane model is documented using a Global Positioning System (GPS) device, and the collected data is subsequently transformed into a trajectory line for the purpose of enabling analysis. The turning model test is used to find the best hull distance variation out of three options considering the parameters of tactical diameter (TD), advance (A), transfer (T), and radius (R). The tests are undertaken for three different combinations of trim angle and speed. The results show that S/L 0.5 is the ideal distances between the floater hulls while a trim angle of 0°, and a Froude number of 0.064. The condition defines the ratio of parameters and the length of the ship (Lpp), which includes the values of TD/Lpp, A/Lpp, T/Lpp, and R/Lpp as 2.49, 1.59, 1.60, and 1.26, respectively
The Application of Risk Based-Design (RBD) Methodology For LNG Carrier Under Varied Sea State
Authors: Afifudin Irza Nur , Aryawan Wasis Dwi
Published: January 2024

The energy transition issue is being pursued following the outcomes of the 22nd Summit by the G-20 group. The use of Liquified Natural Gas (LNG) fuel has emerged as one of the solutions in addressing the energy transition challenge. In line with the issuance of the Ministry of Energy and Mineral Resources Decision in January 2022, the Indonesian Government will increase the utilization of natural gas in the form of LNG for the electricity generation sector. LNG fuel is considered to possess numerous advantages and is more environmentally friendly. The distribution of LNG fuel is often carried out by tanker ships equipped with cryogenic tanks called LNG carrier. However, challenges arise when ships operate in waters which has high sea state condition, where the vessel faces the risk of accidents such as sloshing, increased motion response, stability disruptions, and other. Therefore, this paper provide a comprehensive risk analysis to minimize the existing accident risks caused by varied sea state condition using Risk-Based Design (RBD). RBD is a structured and systematic method to ensure safety levels and cost-effectiveness and utilizing risk analysis.
Applying Parametric Model Correction on Sea State Bias to Estimate Sea Surface Height over the Savu Sea
Authors: Dewi Alifia Rusydah Fitria , Dwi Siswanto Aries , Wicaksono Ashari , Giri Dwi Kartika Ary
Published: January 2024

Range, the distance between the satellite and the ocean surface covered by the radar trace, is measured by tracking the received waveform. The range measurement errors may be caused by sea state bias (SSB) which is the main source of measurement errors in altimeter applications. Particularly, the error due to SSB is related to atmospheric dynamics and sea surface roughness. Sea surface height (SSH) is determined by advanced satellite remote sensing in the fields of earth sciences, such as geophysics, geodesy, and oceanography. The research aims to apply the parametric model on the SSB to estimate the SSH over the Savu Sea. We analyzed data along the cycle along the track across the line consisting of the GDR Ku Band. We concluded that the parametric model can be used to effectively improve the SSH correction on the Sentinel 3A altimeter.
Sonic Log Prediction Based on Extreme Gradient Boosting (XGBoost) Machine Learning Algorithm by Using Well Log Data
Authors: Hakam Abdul , Utama Widya , Garini Sherly Ardhya , Jabar Omar Abdul , Insani Alif Nurdien Fitrah , Rosandi Yudi
Published: January 2024

Sonic log is an important aspect that provides a detailed description of the subsurface properties associated with oil and gas reservoirs. The problem that frequently occurs is the unavailability of sonic log data for various reasons needs to be given an effective solution. The alternative approach proposed in this research is sonic log prediction based on Extreme Gradient Boosting (XGBoost) machine learning algorithm, using available log data to build a reliable sonic log prediction model. In this research, the predicted DT log type is the Differential Time Shear Slowness (DTSM) log, which is the velocity of shear waves propagating in a formation. Log features used for training include gamma ray (GR), density (RHOB), porosity (NPHI), resistivity (RS and RD) logs with DTSM log as the prediction target. To optimise the performance and generalisation of the XGBoost algorithm in predicting log DTSM, hyperparameter tuning was applied using grid search technique to obtain optimal parameters for the prediction model. Based on the experimental results, this research found that hyperparameter tuning using grid search technique improved the accuracy of sonic log (DTSM) model prediction based on XGBoost algorithm, as proven by the decrease of RMSE and MAPE values to 19.699 and 7.713%. The results also pointed out the need for methods other than listwise deletion to handle missing values as an alternative to improving model accuracy. This research highlighted the need for continuous improvement in data processing methods and algorithm optimization to advance the application of machine learning in geophysical exploration.
The effect of heave-face plates on FOWT heave motion: Fluid dynamic analysis
Authors: Ghofur Abdul , Sulisetyono Aries , Harso Nugroho Wibowo , Ali Baharuddin , Armansyah Moh. Muria
Published: January 2024

Renewable energy technology is a topic that has often been raised in many studies lately. To support the 2020-2024 PRN (National Research Priority) program in the Maritime sector, the Researcher has developed FOWT (Floating Offshore Wind Turbine), a Classic SPAR design to operate and serve the eastern Indonesia region. A novelty design, namely the “Motion Reduction Device” (MRD), is installed at the bottom of the FOWT floater intended to increase its natural period and reduce heaving and pitching motion when exposed to environmental loads. The ANSYS FLUENT Computational Fluid Dynamics (CFD) simulation of heave decay is applied to calculate natural periods for several MRD types. A mesh convergence study was carried out to determine the best mesh size. The damping terms are derived by matching the heave motion obtained using the equation of motion by changing the damping time with linear, quadratic, or a combination of linear and quadratic. The added mass and damping results are then plotted in a graph and table. It has been demonstrated that MRD has a more significant impact than simply installing a heave plate at the bottom of the FOWT by significantly increasing added mass and damping.
An Efficient Access to Heteroaryl/Aryl-Annulated Pyridine Derivatives and a Study of Their Mosquito Larvicidal Activity Against Dengue Vector
Authors: Pal Pamela , Show Sayanti , Roy Priya , Ghosh Tapas , Nandi Raj K. , Das Sukanya , Bhakta Sayantika , Mondal Swarupa
Published: January 2024

We report a convergent synthesis of heteroaryl/aryl-annulated pyridine and quinoline derivatives by a metal-free Povarov reaction. para-Toluene sulfonic acid was used as the catalyst in this reaction, which produced the products in good yields from the corresponding aromatic amines and ethyl vinyl ether. A pyridocoumarin and a pyridopyrimidine product were evaluated for their mosquito larvicidal activity against the third instar larvae of the dengue vector mosquito Aedes aegypti. Examination of morphological changes in the larvae showed damage to the target body part after treatment with both the pyridocoumarin and pyridopyrimidine products at the LC50 concentrations.