bluuebunny/crossref_metadata_2025 huggingface dataset:
A new mayfly subfamily sheds light on the early evolution and Pangean origin of Baetiscidae (Insecta: Ephemeroptera)
Authors: Godunko Roman J. , Sroka Pavel
Published: January 2024

The family Baetiscidae Edmunds & Traver, 1954 is recognisable among mayflies due to its bizarre larvae, equipped with a robust and spiked thoracic notal shield covering part of the abdomen up to sixth segment. Originally being described as extant species from the USA and Canada, Baetiscidae were later found in the fossil record as well, specifically in Cretaceous of Brazil and Eocene Baltic amber. An enigmatic piece of fossil evidence are two larvae from the Early Cretaceous Koonwarra Fossil Bed in Australia, which have been presumed as attributable to Baetiscidae and briefly discussed in previous studies. In the present contribution, we reinvestigate these fossils and confirm their attribution to the family Baetiscidae. These larvae are depicted and described as Koonwarrabaetisca jelligen. et sp. nov. and Koonwarrabaetisca duncanisp. nov. For both Cretaceous genera Protobaetisca Staniczek, 2007 and Koonwarrabaetiscagen. nov. we establish a new subfamily Protobaetiscinae subfam. nov. within the family Baetiscidae, based on the presence of markedly shortened thoracic sterna. The phylogenetic position of newly described subfamily is clarified using a cladistic analysis; Protobaetiscinae subfam. nov. forms a monophyletic clade, sister to Baetiscinae. The confirmation of the distribution of Baetiscidae in the Cretaceous of Australia suggests almost worldwide distribution of this family in the deep time. Given their limited dispersal abilities, this distributional pattern can be best explained by the Pangean origin for this family, moving the time of their origin at least to the Early Jurassic. The larvae of Koonwarrabaetiscagen. nov. exhibit the same ecomorphological specialization as the rest of Baetiscidae, that supporting with a high probability their lifestyle similar to extant Baetisca Walsh, 1862. The larvae probably lived in the flowing water with stony substrate densely covered by filamentous algae, and in the places of accumulation of dead plant and algae matter during the last instars. Thus, Koonwarrabaetiscagen. nov. could be the allochthonous component in mayfly fauna of the Koonwarra paleolake.
Phytoassisted synthesis of CuO and Ag–CuO nanocomposite, characterization, chemical sensing of ammonia, degradation of methylene blue
Authors: Farooq Muhammad , Shujah Shaukat , Tahir Kamran , Hussain Syed Tasleem , Khan Afaq Ullah , Almarhoon Zainab M. , Alabbosh Khulood Fahad , Alanazi Abdulaziz A. , Althagafi Talal M. , Zaki Magdi E. A.
Published: January 2024

The elimination of hazardous industrial pollutants from aqueous solutions is an emerging area of scientific research and a worldwide problem. An efficient catalyst, Ag–CuO was synthesized for the degradation of methylene blue, the chemical sensing of ammonia. A simple novel synthetic method was reported in which new plant material Capparis decidua was used for the reduction and stabilization of the synthesized nanocatalyst. A Varying amount of Ag was doped into CuO to optimize the best catalyst that met the required objectives. Through this, the Ag–CuO nanocomposite was characterized by XRD, SEM, HR-TEM, EDX, and FTIR techniques. The mechanism of increased catalytic activity with Ag doping involves the formation of charge sink and suppression of drop back probability of charge from conduction to valance band. Herein, 2.7 mol % Ag–CuO exhibited better catalytic activities and it was used through subsequent catalytic experiments. The experimental conditions such as pH, catalyst dose, analyte initial concentration, and contact time were optimized. The as-synthesized nanocomposite demonstrates an excellent degradation efficacy of MB which is 97% at pH 9. More interestingly, the as-synthesized catalyst was successfully applied for the chemical sensing of ammonia even at very low concentrations. The lower limit of detection (LLOD) also called analytic sensitivity was calculated for ammonia sensing and found to be 1.37 ppm.
A new investigation on fractionalized modeling of human liver
Authors: Bhatter Sanjay , Jangid Kamlesh , Kumawat Shyamsunder , Baleanu Dumitru , Purohit Sunil Dutt , Suthar Daya Lal
Published: January 2024

This study focuses on improving the accuracy of assessing liver damage and early detection for improved treatment strategies. In this study, we examine the human liver using a modified Atangana-Baleanu fractional derivative based on the mathematical model to understand and predict the behavior of the human liver. The iteration method and fixed-point theory are used to investigate the presence of a unique solution in the new model. Furthermore, the homotopy analysis transform method, whose convergence is also examined, implements the mathematical model. Finally, numerical testing is performed to demonstrate the findings better. According to real clinical data comparison, the new fractional model outperforms the classical integer-order model with coherent temporal derivatives.
Exploring localized ENZ resonances and their role in superscattering, wideband invisibility, and tunable scattering
Authors: Serebryannikov Andriy E. , Ozbay Ekmel
Published: January 2024

While the role and manifestations of the localized surface plasmon resonances (LSPRs) in anomalous scattering, like superscattering and invisibility, are quite well explored, the existence, appearance, and possible contribution of localized epsilon-near-zero (ENZ) resonances still invoke careful exploration. In this paper, that is done along with a comparison of the resonances of two types in the case of thin-wall cylinders made of lossy and loss-compensated dispersive materials. It is shown that the localized ENZ resonances exist and appear very close to the zero-permittivity regime, i.e., at near-zero but yet negative permittivity that is similar to the ENZ modes in thin planar films. Near- and far-field characteristics of the superscattering modes are investigated. The results indicate that the scattering regimes arising due to LSPRs and localized ENZ resonances are distinguishable in terms of the basic field features inside and around the scatterer and differ in their contribution to the resulting scattering mechanism, e.g., in terms of the occupied frequency and permittivity ranges as well as the sensitivity to the wall thickness variations. When the losses are either weak or tend to zero due to the doping with gain enabling impurities, the sharp peaks of the scattering cross-section that are yielded by the resonances can be said to be embedded into the otherwise wide invisibility range. In the case of lossy material, a wide and continuous invisibility range is shown to appear not only due to a small total volume of the scatterer in the nonresonant regime, but also because high-Q superscattering modes are suppressed by the losses. For numerical demonstration, indium antimonide, a natural lossy material, and a hypothetical, properly doped material with the same real part of the permittivity but lower or zero losses are considered. In the latter case, variations of permittivity with a control parameter can be adjusted in such a way that transitions from one superscattering mode to another can be achieved. In turn, transition from the strong-scattering to the invisibility regime is possible even for the original lossy material. The basic properties of the studied superscattering modes may be replicable in artificial structures comprising natural low-loss materials.
Road networks and socio-demographic factors to explore COVID-19 infection during its different waves
Authors: Uddin Shahadat , Khan Arif , Lu Haohui , Zhou Fangyu , Karim Shakir , Hajati Farshid , Moni Mohammad Ali
Published: January 2024

The COVID-19 pandemic triggered an unprecedented level of restrictive measures globally. Most countries resorted to lockdowns at some point to buy the much-needed time for flattening the curve and scaling up vaccination and treatment capacity. Although lockdowns, social distancing and business closures generally slowed the case growth, there is a growing concern about these restrictions' social, economic and psychological impact, especially on the disadvantaged and poorer segments of society. While we are all in this together, these segments often take the heavier toll of the pandemic and face harsher restrictions or get blamed for community transmission. This study proposes a road-network-based networked approach to model mobility patterns between localities during lockdown stages. It utilises a panel regression method to analyse the effects of mobility in transmitting COVID-19 in an Australian context, together with a close look at a suburban population’s characteristics like their age, income and education. Firstly, we attempt to model how the local road networks between the neighbouring suburbs (i.e., neighbourhood measure) and current infection count affect the case growth and how they differ between delta and omicron variants. We use a geographic information system, population and infection data to measure road connections, mobility and transmission probability across the suburbs. We then looked at three socio-demographic variables: age, education and income and explored how they moderate independent and dependent variables (infection rates and neighbourhood measures). The result shows strong model performance to predict infection rate based on neighbourhood road connection. However, apart from age in the delta variant context, the other variables (income and education level) do not seem to moderate the relationship between infection rate and neighbourhood measure. The results indicate that suburbs with a more socio-economically disadvantaged population do not necessarily contribute to more community transmission. The study findings could be potentially helpful for stakeholders in tailoring any health decision for future pandemics.
Changes in physiological arousal during an arithmetic task: profiles of elementary school students and their associations with mindset, task performance and math grade
Authors: Puusepp Ita , Tammi Tuisku , Linnavalli Tanja , Huotilainen Minna , Laine Sonja , Kuusisto Elina , Tirri Kirsi
Published: January 2024

Task-related change in physiological arousal is suggested to reflect active involvement with the task. While studies often examine such task-related changes in arousal as averaged across the entire task, the present study focused on temporal changes in arousal during a task. More specifically, we investigated changes in elementary school students’ physiological arousal during an arithmetic task and associations between these changes and students’ mindset, performance on the task, and math grades. We used a person-oriented approach to analyze the tonic electrodermal activity of 86 fourth graders, recorded while they were working on an arithmetic task. With model-based clustering of students’ on-task electrodermal activity, we identified three groups of students with differing temporal dynamics of physiological arousal during the task: Increasing Arousal, Decreasing Arousal and Decreasing and Increasing Arousal. The Decreasing Arousal profile contained more students classified as holding a Fixed Mindset Tendency than would be expected if physiological profile membership and mindset tendency were independent. The Increasing Arousal profile performed better on the task than the Decreasing Arousal profile. No association was found with math grades. These results provide a new insight into individual differences in temporal patterns of on-task physiological arousal.
Ensuring greenhouse gas reductions from electric vehicles compared to hybrid gasoline vehicles requires a cleaner U.S. electricity grid
Authors: Singh Madalsa , Yuksel Tugce , Michalek Jeremy J. , Azevedo Inês M. L.
Published: January 2024

Emissions from electric vehicles depend on when they are charged and which power plants meet the electricity demand. We introduce a new metric, the critical emissions factors (CEFs), as the emissions intensity of electricity that needs to be achieved when charging to ensure electric vehicles achieve lifecycle greenhouse gas emissions parity with some of the most efficient gasoline hybrid vehicles across the United States. We use a consequential framework, consider 2018 as our reference year, and account for the effects of temperature and drive cycle on vehicle efficiency to account for regional climate and use conditions. We find that the Nissan Leaf and Chevy Bolt battery electric vehicles reduce lifecycle emissions relative to Toyota Prius and Honda Accord gasoline hybrids in most of the United States. However, in rural counties of the Midwest and the South, power grid marginal emissions reductions of up to 208 gCO2/kWh are still needed for these electric vehicles to have lower lifecycle emissions than gasoline hybrids. Except for the Northeast and Florida, the longer-range Tesla Model S battery-electric luxury sedan has higher emissions than the hybrids across the U.S., and the emissions intensity of the grid would need to decrease by up to 342 gCO2/kWh in some locations for it to achieve carbon parity with hybrid gasoline vehicles. Finally, we conclude that coal retirements and stricter standards on fossil fuel generators are more effective in the medium term at reducing consequential electric vehicle emissions than expansion of renewable capacity.
Terahertz linear/non-linear anomalous Hall conductivity of moiré TMD hetero-nanoribbons as topological valleytronics materials
Authors: Shayeganfar Farzaneh , Ramazani Ali , Habibiyan Hamidreza , Rafiee Diznab Mohammad
Published: January 2024

Twisted moiré van der Waals heterostructures hold promise to provide a robust quantum simulation platform for strongly correlated materials and realize elusive states of matter such as topological states in the laboratory. We demonstrated that the moiré bands of twisted transition metal dichalcogenide (TMD) hetero-nanoribbons exhibit non-trivial topological order due to the tendency of valence and conduction band states in K valleys to form giant band gaps when spin-orbit coupling (SOC) is taken into account. Among the features of twisted WS$$_2$$

2

/MoS$$_2$$

2

and WSe$$_2$$

2

/MoSe$$_2$$

2

, we found that the heavy fermions associated with the topological flat bands and the presence of strongly correlated states, enhance anomalous Hall conductivity (AHC) away from the magic angle. By band analysis, we showed that the topmost conduction bands from the ± K-valleys are perfectly flat and carry a spin/valley Chern number. Moreover, we showed that the non-linear anomalous Hall effect in moiré TMD hetero-nanoribbons can be used to manipulate terahertz (THz) radiation. Our findings establish twisted heterostructures of group-VI TMD nanoribbons as a tunable platform for engineering topological valley quantum phases and THz non-linear Hall conductivity.
Utilizing the power of plant growth promoting rhizobacteria on reducing mineral fertilizer, improved yield, and nutritional quality of Batavia lettuce in a floating culture
Authors: Ikiz Boran , Dasgan Hayriye Yildiz , Gruda Nazim S.
Published: January 2024

In soilless cultivation, plants are grown with nutrient solutions prepared with mineral nutrients. Beneficial microorganisms are very important in plant nutrition. However, they are not present in soilless culture systems. In this study we investigated the impact of introducing Plant Growth Promoting Rhizobacteria (PGPR) as an alternative to traditional mineral fertilizer in hydroponic floating lettuce cultivation. By reducing mineral fertilizers at various ratios (20%, 40%, 60%, and 80%), and replacing them with PGPR, we observed remarkable improvements in multiple growth parameters. Applying PGPR led to significant enhancements in plant weight, leaf number, leaf area, leaf dry matter, chlorophyll content, yield, and nutrient uptake in soilles grown lettuce. Combining 80% mineral fertilizers with PGPR demonstrated a lettuce yield that did not significantly differ from the control treatment with 100% mineral fertilizers. Moreover, PGPR application improved the essential mineral concentrations and enhanced human nutritional quality, including higher levels of phenols, flavonoids, vitamin C, and total soluble solids. PGPR has potential as a sustainable substitute for synthetic mineral fertilizers in hydroponic floating lettuce cultivation, leading to environmentally friendly and nutritionally enriched farming.
Developing a prognosis and chemotherapy evaluating model for colon adenocarcinoma based on mitotic catastrophe-related genes
Authors: Liu Yinglei , Zhao Yamin , Zhang Siming , Rong Shen , He Songnian , Hua Liqi , Wang Xingdan , Chen Hongjian
Published: January 2024

Mitotic catastrophe (MC) is a novel form of cell death that plays an important role in the treatment and drug resistance of colon adenocarcinoma (COAD). However, MC related genes in COAD treatment and prognosis evaluation are rarely studied. In this study, the transcriptome data, somatic mutation and copy number variation data were obtained from The Cancer Genome Atlas (TCGA) database. The mitotic catastrophe related genes (MCRGs) were obtained from GENCARDS website. Differential gene analysis was conducted with LIMMA package. Univariate Cox regression analysis was used to identify prognostic related genes. Mutation analysis was performed and displayed by maftools package. RCircos package was used for localizing the position of genes on chromosomes. “Glmnet” R package was applied for constructing a risk model via the LASSO regression method. Consensus clustering analyses was implemented for clustering different subtypes. Functional enrichment analysis through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) methods, immune infiltration analysis via single sample gene set enrichment analysis (ssGSEA), tumor mutation burden and drug sensitivity analysis by pRRophetic R package were also carried out for risk model or molecular subtype’s assessment. Additionally, the connections between the expression of hub genes and overall survival (OS) were obtained from online Human Protein Atlas (HPA) website. Real-Time Quantitative Polymerase Chain Reaction (RT‑qPCR) further validated the expression of hub genes. A total of 207 differentially expressed MCRGs were selected in the TCGA cohort, 23 of which were significantly associated with OS in COAD patients. Subsequently, we constructed risk score prognostic models with 5 hub MCRGs, including SYCE2, SERPINE1, TRIP6, LIMK1, and EEPD1. The high-risk patients suffered from poorer prognosis. Furthermore, we developed a nomogram that gathered age, sex, staging, and risk score to accurately forecast the clinical survival outcomes in 1, 3, and 5 years. The results of functional enrichment suggested a significant correlation between MCRGs characteristics and cancer progression, with important implications for the immune microenvironment. Moreover, patients who displayed high TMB and high risk score showed worse prognosis, and risk characteristics were associated with different chemotherapeutic agents. Finally, RT‑qPCR verified the increased expression of the five MCRGs in clinical samples. The five MCRGs in the prognostic signature were associated with prognosis, and could be treated as reliable prognostic biomarkers and therapeutic targets for COAD patients with distinct clinicopathological characteristics, thereby providing a foundation for the precise application of pertinent drugs in COAD patients.
Geothermometry of calcite spar at 10–50 °C
Authors: Koltai Gabriella , Kluge Tobias , Krüger Yves , Spötl Christoph , Rinyu László , Audra Philippe , Honiat Charlotte , Leél-Őssy Szabolcs , Dublyansky Yuri
Published: January 2024

Carbonate geothermometry is a fundamental tool for quantitative assessment of the geothermal and geochemical evolution of diagenetic and hydrothermal systems, but it remains difficult to obtain accurate and precise formation temperatures of low-temperature calcite samples (below ~ 40 to 60 °C). Here, we apply three geothermometry methods (∆47-thermometry, nucleation-assisted fluid inclusion microthermometry—hereafter NA-FIM—and oxygen isotope thermometry) to slow-growing subaqueous calcite spar samples to cross-validate these methods down to 10 °C. Temperatures derived by NA-FIM and Δ47-thermometry agree within the 95% confidence interval, except for one sample. Regression analyses suggest that the real uncertainty of ∆47-thermometry exceeds the 1 SE analytical uncertainty and is around ± 6.6 °C for calcite spar that formed at 10–50 °C. The application of δ18O thermometry was limited to a few samples that contained sufficient primary fluid inclusions. It yielded broadly consistent results for two samples with two other geothermometers, and showed higher temperature for the third spar. We also found that calcite with steep rhombohedral morphologies is characteristic of low temperatures (11–13 °C), whereas blunt rhombohedra prevail in the 10–29 °C domain, and the scalenohedral habit dominates > 30 °C. This suggests that the calcite crystal morphology can be used to qualitatively distinguish between low- and higher-temperature calcite.
Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects
Authors: Liu Mengmeng , Srivastava Gopal , Ramanujam J. , Brylinski Michal
Published: January 2024

Combination therapy has gained popularity in cancer treatment as it enhances the treatment efficacy and overcomes drug resistance. Although machine learning (ML) techniques have become an indispensable tool for discovering new drug combinations, the data on drug combination therapy currently available may be insufficient to build high-precision models. We developed a data augmentation protocol to unbiasedly scale up the existing anti-cancer drug synergy dataset. Using a new drug similarity metric, we augmented the synergy data by substituting a compound in a drug combination instance with another molecule that exhibits highly similar pharmacological effects. Using this protocol, we were able to upscale the AZ-DREAM Challenges dataset from 8798 to 6,016,697 drug combinations. Comprehensive performance evaluations show that ML models trained on the augmented data consistently achieve higher accuracy than those trained solely on the original dataset. Our data augmentation protocol provides a systematic and unbiased approach to generating more diverse and larger-scale drug combination datasets, enabling the development of more precise and effective ML models. The protocol presented in this study could serve as a foundation for future research aimed at discovering novel and effective drug combinations for cancer treatment.
Fragment library screening by X-ray crystallography and binding site analysis on thioredoxin glutathione reductase of Schistosoma mansoni
Authors: de Souza Neto Lauro Ribeiro , Montoya Bogar Omar , Brandão-Neto José , Verma Anil , Bowyer Sebastian , Moreira-Filho José Teófilo , Dantas Rafael Ferreira , Neves Bruno Junior , Andrade Carolina Horta , von Delft Frank , Owens Raymond J. , Furnham Nicholas , Silva-Jr Floriano Paes
Published: January 2024

Schistosomiasis is caused by parasites of the genus Schistosoma, which infect more than 200 million people. Praziquantel (PZQ) has been the main drug for controlling schistosomiasis for over four decades, but despite that it is ineffective against juvenile worms and size and taste issues with its pharmaceutical forms impose challenges for treating school-aged children. It is also important to note that PZQ resistant strains can be generated in laboratory conditions and observed in the field, hence its extensive use in mass drug administration programs raises concerns about resistance, highlighting the need to search for new schistosomicidal drugs. Schistosomes survival relies on the redox enzyme thioredoxin glutathione reductase (TGR), a validated target for the development of new anti-schistosomal drugs. Here we report a high-throughput fragment screening campaign of 768 compounds against S. mansoni TGR (SmTGR) using X-ray crystallography. We observed 49 binding events involving 35 distinct molecular fragments which were found to be distributed across 16 binding sites. Most sites are described for the first time within SmTGR, a noteworthy exception being the “doorstop pocket” near the NADPH binding site. We have compared results from hotspots and pocket druggability analysis of SmTGR with the experimental binding sites found in this work, with our results indicating only limited coincidence between experimental and computational results. Finally, we discuss that binding sites at the doorstop/NADPH binding site and in the SmTGR dimer interface, should be prioritized for developing SmTGR inhibitors as new antischistosomal drugs.
3-D real-time ultrasound tracking of acoustically actuated swimming microdrone
Authors: Chen Qiyang , Liu Fang-Wei , Cho Sung Kwon , Kim Kang
Published: January 2024

Maneuverable microswimmers/microdrones that navigate in hard-to-reach spaces inside human bodies hold a great potential for various biomedical applications. Acoustically actuated microswimmers have already demonstrated feasibility. However, for eventual translation of this technology, a robust 3-D tracking strategy for the microswimmer is particularly required. This paper presents our lab-designed 3-D ultrasound tracking system for real-time tracking of an acoustically actuated 3-D swimming microdrone. The ultrasound tracking system utilizing two ultrasound probes, a step motor and a host controller, was built to track the 3-D arbitrary motion of the microdrone in real-time. The performance of tracking was evaluated in the benchtop experiments by comparing the reconstructed trajectories with synchronized camera recordings. The ultrasound tracking system showed high reliability, with an average error of less than 0.3 mm across six different trials when compared to camera tracking. The results demonstrated the capability of our lab-designed 3-D ultrasound tracking system in accurately tracking the undetermined motion of the acoustic actuated 3-D swimming microdrone in real-time. The developed tracking system holds promise as a potential approach for biomedical applications and could pave the way for future clinical translation of the microswimmer technology.
Antifibrotic activity of carbon quantum dots in a human in vitro model of non-alcoholic steatohepatitis using hepatic stellate cells
Authors: García-Topete David A. , Álvarez-Lee Laura A. , Carballo-López Gabriela I. , Uriostegui-Campos Marco A. , Guzmán-Uribe Carlos , Castro-Ceseña Ana B.
Published: January 2024

Carbon quantum dots conjugated with lactoferrin downregulated profibrotic gene expression and modulated inflammation-related cytokines in a human in vitro non-alcoholic steatohepatitis co-culture model with hepatic stellate cells and PBMCs.
Recent advances in phase change materials for thermal energy storage
Authors: White Mary Anne , Kahwaji Samer , Noël John A.
Published: January 2024

Phase change materials compactly store thermal energy for temperature buffering, waste heat recovery and insulation. Recent developments, including structure–property relationships, sustainable approaches and form-stable materials, are presented.
Dynamical effects on the O(3P) + D2 reaction and its impact on the Λ-doublet population
Authors: Veselinova A. , Menéndez M. , González-Sánchez L. , Zanchet A. , Aoiz F. J. , Jambrina P. G.
Published: January 2024

The O(3P) + D2 reaction takes place on two potential energy surfaces of symmetry 3A′ and 3A′′. Based on the shape of the PESs, the 3A′′ should always be more reactive. However, 3A′ is more reactive for energies around the classical barrier.
A theoretical spectroscopy study of the photoluminescence properties of narrow band Eu2+-doped phosphors containing multiple candidate doping centers. Prediction of an unprecedented narrow band red phosphor
Authors: Shafei Rami , Strobel Philipp Jean , Schmidt Peter J. , Maganas Dimitrios , Schnick Wolfgang , Neese Frank
Published: January 2024

We have previously presented a computational protocol that is based on an embedded cluster model and operates in the framework of TD-DFT in conjunction with the excited state dynamics (ESD) approach.
Silver frameworks based on a tetraphenylethylene–imidazole ligand for electrocatalytic reduction of CO2 to CO
Authors: Wang Yu-Jie , Qiu Zhao-Feng , Zhang Ya , Wang Fang-Fang , Zhao Yue , Sun Wei-Yin
Published: January 2024

Two new Ag(i) frameworks were prepared and their electrocatalytic performance for carbon dioxide reduction was investigated.
A high-performance and self-powered polarization-sensitive photoelectrochemical-type Bi2O2Te photodetector based on a quasi-solid-state gel electrolyte
Authors: Yang Song , Jiao Shujie , Nie Yiyin , Zhao Yue , Gao Shiyong , Wang Dongbo , Wang Jinzhong
Published: January 2024

A quasi-solid-state photoelectrochemical-type Bi2O2Te photodetector exhibits excellent linear polarized light detection capability.
Ultra-strong, nonfreezing, and flexible strain sensors enabled by biomass-based hydrogels through triple dynamic bond design
Authors: Fu Haocheng , Wang Bin , Li Jinpeng , Cao Daxian , Zhang Wei , Xu Jun , Li Jun , Zeng Jinsong , Gao Wenhua , Chen Kefu
Published: January 2024

By introducing the triple dynamic bonds to a double network (DN) structure, the preparation of biodegradable flexible strain sensors with ultra-strong and nonfreezing properties was achieved.
Chemical exfoliation of 1-dimensional antiferromagnetic nanoribbons from a non-van der Waals material
Authors: Yang Mulan , Cheng Guangming , Mathur Nitish , Singha Ratnadwip , Yuan Fang , Yao Nan , Schoop Leslie M.
Published: January 2024

We show that simple chemical exfoliation methods can be used to exfoliate non-van der Waals, chain-containing compounds to 1D nanoribbons. After this process, they still retain magnetic behavior.
Adsorption/desorption behavior of degradable polylactic acid microplastics on bisphenol A under different aging conditions
Authors: Li Liqing , Zhong Xiumin , Zheng Minghao , Wu Panwang , Yu Fei , Ouyang Shaobo , Ma Jie
Published: January 2024

Different UV wavelengths were used to simulate aging. The adsorption/desorption behavior of polylactic acid (PLA) on bisphenol A (BPA) before and after aging was studied.
Role of magnolol embedded fully bio-based benzoxazines for hydrophobic, anti-microbial and anti-corrosion applications
Authors: Madesh Priyanka , Krishnasamy Balaji , Arumugam Hariharan , Muthukaruppan Alagar
Published: January 2024

Magnolol-based benzoxazines, their anti-microbial corrosion, super-hydrophobicity and less cytotoxic monomers.
Recent progress on modulating luminescence thermal quenching properties of Bi3+-activated phosphors
Authors: Lv Xiang , Xiao Ran , Liu Jianxia , Yang Chunwei , Xin Yanmei , Guo Ning
Published: January 2024

Four design strategies for modulating the luminescence thermal quenching properties of Bi3+-activated phosphors are proposed: (1) defect engineering; (2) structural modulation; (3) lattice structure rigidity; and (4) energy transfer.
A photo-driven traceless group directed electron–donor–acceptor (EDA) complex initiated radical coupling/dehydrogenation tandem reaction: access to 1-allyl/benzyl-3,4-dihydroisoquinoline
Authors: Zhang Tao , Ren Xinxin , Wang Bin , Jin Weiwei , Xia Yu , Wu Shaofeng , Liu Chenjiang , Zhang Yonghong
Published: January 2024

A metal-free and mild one pot protocol for the traceless group directed and electron–donor–acceptor (EDA) complex initiated radical coupling/dehydrogenation of arylazo-protected tetrahydroisoquinolines with benzyl/allyl bromide is reported.
Efficient preparation of hybrid biofuels from biomass-derived 5-(acetoxymethyl)furfural and petroleum-derived aromatic hydrocarbons
Authors: Yadav Abhishek Kumar , Bhat Navya Subray , Kaushik Sonal , Seikh Asiful H. , Dutta Saikat
Published: January 2024

Various furanic biofuels have been synthesized in good isolated yields from carbohydrate-derived 5-(acetoxymethyl)furfural and aromatic hydrocarbons following catalytic steps, such as Friedel–Crafts, decarbonylation, and hydrogenation reactions.
Highly efficient CO2 electrochemical reduction on dual metal (Co–Ni)–nitrogen sites
Authors: Chen Jianping , Ahasan Md Robayet , Oh Jin-Su , Tan Jake A. , Hennessey Stephen , Kaid Mahmoud M. , El-Kaderi Hani M. , Zhou Lin , Lao Ka Un , Wang Ruigang , Wang Wei-Ning
Published: January 2024

A new Co–Ni–N–C electrocatalyst for CO2 reduction, featuring diatomic metal-nitrogen sites on N-doped carbon, has been developed. It shows high CO yield and faradaic efficiency, promising for various electrochemical reactions.
Fiber, monolithic fiber and twisted fiber structures: efficient microwave absorption via surface-modified carbon nanotube buckypaper/silicon carbide-based self-sealing layered composites
Authors: Guo Siyu , Cai Yanzhi , Cheng Laifei , Huang Shaohua , Liu Tingting , Yu Haiming , Chen Dengpeng , Wang Yuhan , Hu Zhongyi , Zhou Yuan
Published: January 2024

A variety of self-sealing layered fiber substrates are constructed, and the substrates are converted into absorbers by cladding modification. Microwaves are scattered in all directions at multiple angles in the self-sealing layered fiber structures.
Adjusting molecular weight optimizes electronic transport of extrinsically N-type doped conjugated polymer incorporating glycolated side chains
Authors: Kuang Yazhuo , Heester Sander , Shao Shuyan , Ye Gang , Yao Tangqing , Xie Zhiyuan , Koster L. Jan Anton , Liu Jian
Published: January 2024

Adjusting the molecular weight of n-type conjugated polymers incorporating glycolated side chains optimizes the power factor of organic thermoelectrics and mixed electronic–ionic conduction of organic electrochemical transistors.
Recent advancements in modified SnO2–Sb electrodes for electrochemical treatment of wastewater
Authors: Guo Tao , Chen Xiang , Yin Lifeng
Published: January 2024

This review explores the properties of SnO2–Sb, with particular emphasis on the impact of its modification state on catalytic selectivity. New insights are provided into their importance in the electrochemical treatment of industrial wastewater.
Regulating the interfacial electric field of NbP–NbC heterostructures to efficiently inhibit polysulfide shuttling in Li–S batteries
Authors: Ren Tao , Wang Xinyuan , Wang Nannan , Huang Dan , Zhu Yanqiu , Shen Pei Kang , Zhu Jinliang
Published: January 2024

A novel NbP–NbC heterostructure with interfacial electric field provides moderate polysulfide absorbability and further enhances the intrinsic catalytic activity for Li–S batteries.
Enhancing electrochemical methane coupling in solid oxide cells by tuning oxygen species in the catalyst
Authors: Xu Xiaoyong , Li Haobo , Han Xu , Zheng Yao
Published: January 2024

La-doped SrTiO3 perovskite was explored as anode for methane coupling in solid oxide cells. DFT showed methane coupling can achieve higher conversions when activated on surfaces with fewer oxygen vacancies and more lattice oxygen.
Perceiving the influence of phenyl-carbazole isomers on sulfone/thioxanthone-based D–A–D hosts: realizing efficient red-phosphorescent OLEDs
Authors: Gnanasekaran Premkumar , Chen Yi-Ting , Tseng Yun-Tzu , Su Kuan-Yu , Lin Yu-Ting , Yiu Tsz Chung , Chang Chih-Hao , Chang Yuan Jay
Published: January 2024

We successfully synthesized six host materials with a donor–acceptor–donor configuration.
Efficient and stable near-infrared Y2Mg2Al2Si2O12:Cr3+ phosphor: analysis of the luminescence source by a site elimination strategy
Authors: Sun Yixin , Shang Mengmeng , Wang Yining , Zhu Yiying , Xing Xiaole , Dang Peipei , Lin Jun
Published: January 2024

The double luminescence centers of the Y2Mg2Al2Si2O12:Cr3+ phosphor are accurately analyzed by a site elimination strategy.
Dicyclopentadithienothiophene-based non-fullerene acceptors for ternary blend organic photovoltaics
Authors: Afraj Shakil N. , Jiang Bing-Huang , Su Yu-Wei , Yang Chien-Hung , Shih Hui-Shan , Velusamy Arulmozhi , Ni Jen-Shyang , Ezhumalai Yamuna , Su Ting-Yu , Liu Cheng-Liang , Yau Shuhelin , Chen Chih-Ping , Chen Ming-Chou
Published: January 2024

The embedding of non-fullerene acceptor INDCDTT-b16 to PM6:Y6 binary blend devices enables the adjustment of the blend morphology, leading to improvements in carrier mobility, bimolecular/trap-assisted recombination, and charge collection, and promotes a PCE of 16.27%.
Mn-Zn spinel ferrite synthesis by solution combustion method and applications in adsorption of dyes
Authors: Beri I. , Ayoub M. , Fatma N. , Dosanjh H.S.
Published: January 2024

Dyes are hazardous chemicals that are commonly found in textile industries’ effluent water. Adsorption techniques are more efficiently used for the removal of various dyes from wastewater. The present work deals with the synthesis of Mn-Zn (Mn0.3Zn0.7Fe2O4) spinel ferrite through the solution combustion method. The solution combustion method has many advantages over other conventional methods. Single-phase spinel ferrite materials can be synthesized by using this method at lower temperatures and in a shorter time. Synthesized Mn-Zn spinel ferrite material has been characterized by using FT-IR spectroscopy. As synthesized ferrite material has been employed for the adsorption of various dyes with different concentrations from their aqueous solutions. Results related to dyes’ adsorption have been reported using UV-Visible spectroscopy. Mn- Zn spinel ferrite has worked efficiently as an adsorbent and its magnetic nature is useful for its extraction from the aqueous solution.
A Review on Microencapsulation as Method of Drug Delivery
Authors: Chaturvedi Priyanka , Sharma Praveen
Published: January 2024

Microencapsulation can be described as heavy, fluid or gaseous substance packaging engineering with thin polymeric coatings, creating small particles called microcapsules. Microencapsulation is very helpful to increase the solubility of drugs. For the drugs of BCS Class-II we use this technique which enables us to get more solubility and increase dissolution profile. This is a novel method of drug delivery. In future aspect we can use this technique in the foodindustry, beverages. A microencapsulation approach for the preparation of an intrauterine contraceptionsystem was alsosuggested. This technique is helpful to overcome poor solubility, low Bioavaibility and less stability.This method also gives more control over the drawback of conventional dosages form.
Tracing the Path to Sustainability: A Study on Domestic Electricity Consumption, Historical overview of Renewable energy resources, transitioning to sustainable energy sources and its impact on Health
Authors: Roy Chowdhury Rooman , Sirisha Kasuba , Kumar Yadav Santosh , Saxena Sunny , Gupta Amita
Published: January 2024

Modern economies are centered on electricity, which is also contributing to an increasing amount of energy services. As a result of increased household incomes, electrification of transport and rising demand for digital connected devices and air conditioning, there will be a rise in the need for energy. Residential electricity consumption in India has tripled over the past few decades with houses having access to uninterrupted power supply. This study is conducted in order to understand the determinants of electricity consumption such as income, family size, stock of electrical appliances, size of dwellings and their influence on consumer’s electricity consumption. It also seeks to examine if the consumers are willing to reduce their electricity consumption and are interested in shifting to renewable energy resources considering the costs involved in shifting to more sustainable energies. Due to the nature of power, which is invisible from the moment it was discovered, as well as consumer attitudes and behavior, saving electricity may appear to be a challenging undertaking. However, if the consumer acquires a basic understanding of what electricity is, how it is utilized, and, more significantly, how energy is wasted, the problem might become very simple. This will make consumers more aware of wasteful electricity use and perhaps encourage them to modify their daily consumption of electricity.
Data-Intensive Traffic Management: Real-Time Insights from the Traffic Management Simulation Test
Authors: Blinova Tatiana , Kumar Rakesh , Kansal Lavish , Bhandari Prabhakar , Guven Ugur , Prasanna Y. Lakshmi
Published: January 2024

This research examined the effectiveness of data-intensive traffic management in urban settings using real-time insights from traffic management simulation experiments. The examination of data on traffic flow revealed a noteworthy decrease in congestion, with a 25% increase in traffic velocity during peak hours. Real-time information led to a 40% drop in the severity of traffic accidents and a 50% reduction in reaction times. Improved road safety was aided by a 30% decrease in accidents during inclement weather thanks to real-time weather data. To further optimize urban traffic flow, dynamic traffic management operations based on real-time information also resulted in a 20% reduction in congestion. These results highlight the revolutionary potential of data-intensive traffic management, offering safer and more effective urban transportation solutions by incorporating real-time information into traffic control plans.
Precision Agriculture and Sustainable Yields: Insights from IoT-Driven Farming and the Precision Agriculture Test
Authors: Ivanovich Vatin Nikolai , Kumar Joshi Sanjeev , Acharya Puja , Sharma Rajat , Rajasekhar N.
Published: January 2024

This study clarifies how precision agriculture powered by the Internet of Things may optimize agricultural productivity and sustainability. Important connections, like the positive association between agricultural output and soil moisture, are revealed by analyzing data from Internet of Things sensors. Test findings for Precision Agriculture show impressive production increases: 20% better yields for wheat, 15% higher yields for maize, and 5% higher yields for soybeans. Interestingly, these improvements come with significant resource savings, with a 10% to 20% reduction in the use of pesticides and fertilizers. The evaluation of sustainable yield highlights efficiency levels between 92% and 95%. These results demonstrate how precision agriculture has the potential to completely transform contemporary agricultural methods by maximizing crop output, promoting sustainability, and reducing environmental impact.
Glass-basalt-plastic materials for construction in temperate and Arctic climatic regions
Authors: Maksudovna Vafaeva Khristina , Dhyani Manoj , Acharya Puja , Parik Khushbu , Ledalla Sukanya
Published: January 2024

This article reviews the increasing attention towards glass-basalt-plastic materials in engineering projects within Arctic and temperate climates. Comprising glass-reinforced plastic and basalt fibers, these materials offer strength, lightness, and corrosion resistance, addressing challenges posed by extreme temperatures and harsh weather conditions. Glass-basalt-plastic constructions demonstrate high resistance to low temperatures, making them effective in enduring extreme cold while maintaining structural integrity. Additionally, their high mechanical strength renders them ideal for buildings in windy and heavily loaded areas, crucial in regions with high wind speeds and snow loads. The materials' corrosion resistance further allows usage in marine environments and severe weather conditions. Despite their proven reliability and effectiveness, there is insufficient research on the strength and durability of glass-basalt-plastic materials under various operational conditions. This study aims to provide a comprehensive overview and analysis of the current challenges associated with the use of these materials in construction within temperate and Arctic climatic regions. By exploring potential advantages, applications, and existing research, this article aims to offer engineers and designers insights for informed decision-making. Simultaneously, it may serve as a foundation for further technical advancements and the development of new manufacturing methods, enhancing the efficacy and expanding the application scope of glass-basalt-plastic materials.
Physiochemical Characteristics Analysis of Garrah River Water at Shahjahanpur, Ganga River Basin, Uttar Pradesh, India
Authors: Sahay Abhinav , Kumar Umesh , Kumar Kundan , Prasad Bhatt Sunil , Ranjan Kumar Amit , Mahadeva Rajesh , Gupta Vinay , Dixit Saurav
Published: January 2024

This study focuses on the physiochemical analysis of the Garrah River in Shahjahanpur, within the Ganga River Basin, Uttar Pradesh, India. The research evaluates the impact of various pollutants, including industrial and municipal sewage, on the river's water quality. Water samples were collected from three locations along the river, representing different pollution levels. The analysis included parameters such as pH, dissolved oxygen (DO), total suspended solids (TSS), color, odor, electrical conductivity, temperature, chemical oxygen demand (COD), salinity, and the concentrations of various elements. The findings showed variations in water quality parameters, with DO, TSS, COD, and heavy metals indicating significant pollution, particularly downstream. Color and odor also suggested pollution from nearby industries. The study revealed that some parameters exceeded WHO standards for drinking water, raising concerns about health risks from exposure to contaminants like chromium. Urgent actions are required to treat municipal sewage and industrial effluents before discharging into the Garrah River. This research highlights the need for ongoing monitoring and sustainable management of water resources in the Ganga River Basin to protect the ecosystem and local communities. It underscores the importance of improving water quality in the region.
Effect of different bait towards eel (Monopterus Spp and Anguilla Spp) catching results in Kampung Baru, Bakongan Subdistrict, South Aceh
Authors: Rizki Purnama Nanda , Syahri Ramadhan Alfi , Miswar Edy , Nasruddin Nasruddin
Published: January 2024

Kampung Baru is a village in South Aceh Regency. The fishing gear used by most fisherman is a traditional fishing gear. The traditional fishing gear usually used is trap. It is usually used by fishermen to catch eel fish. This study aims to find out the most effective type of bait to catch eel by using trap fishing gear in Kampung Baru Village, Bakongan subdistrict, South Aceh. The types of bait that are tested are congealed, earthworms, chicken intestines and shrimp paste at sampling locations that are usually used by local fishermen. The study used experimental fishing testing methods conducted from April to May 2023. Data analysis used is to determine the influence of different bait by using a complete randomized design. Research results show that the most catch uses a type of earthworm bait 20 eels. Data analysis using Analysis of Variance averages 2.05 eel per day. The smallest real difference test results show that each treatment has a different value and significant. So, it can be concluded that the effect of using different bait has an effect on the catch of eel fish (Monopterus spp and Anguilla spp), and the most effective of bait is earthworms.