bluuebunny/crossref_metadata_2025 huggingface dataset:
BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
Authors: Qiu Zhiguang , Yuan Li , Lian Chun-Ang , Lin Bin , Chen Jie , Mu Rong , Qiao Xuejiao , Zhang Liyu , Xu Zheng , Fan Lu , Zhang Yunzeng , Wang Shanquan , Li Junyi , Cao Huiluo , Li Bing , Chen Baowei , Song Chi , Liu Yongxin , Shi Lili , Tian Yonghong , Ni Jinren , Zhang Tong , Zhou Jizhong , Zhuang Wei-Qin , Yu Ke
Published: March 2024

Metagenomic binning is an essential technique for genome-resolved characterization of uncultured microorganisms in various ecosystems but hampered by the low efficiency of binning tools in adequately recovering metagenome-assembled genomes (MAGs). Here, we introduce BASALT (Binning Across a Series of Assemblies Toolkit) for binning and refinement of short- and long-read sequencing data. BASALT employs multiple binners with multiple thresholds to produce initial bins, then utilizes neural networks to identify core sequences to remove redundant bins and refine non-redundant bins. Using the same assemblies generated from Critical Assessment of Metagenome Interpretation (CAMI) datasets, BASALT produces up to twice as many MAGs as VAMB, DASTool, or metaWRAP. Processing assemblies from a lake sediment dataset, BASALT produces ~30% more MAGs than metaWRAP, including 21 unique class-level prokaryotic lineages. Functional annotations reveal that BASALT can retrieve 47.6% more non-redundant opening-reading frames than metaWRAP. These results highlight the robust handling of metagenomic sequencing data of BASALT.
Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions
Authors: Currie Jordan , Manda Vyshnavi , Robinson Sean K. , Lai Celine , Agnihotri Vertica , Hidalgo Veronica , Ludwig R. W. , Zhang Kai , Pavelka Jay , Wang Zhao V. , Rhee June-Wha , Lam Maggie P. Y. , Lau Edward
Published: March 2024

The spatial and temporal distributions of proteins are critical to protein function, but cannot be directly assessed by measuring protein bundance. Here we describe a mass spectrometry-based proteomics strategy, Simultaneous Proteome Localization and Turnover (SPLAT), to measure concurrently protein turnover rates and subcellular localization in the same experiment. Applying the method, we find that unfolded protein response (UPR) has different effects on protein turnover dependent on their subcellular location in human AC16 cells, with proteome-wide slowdown but acceleration among stress response proteins in the ER and Golgi. In parallel, UPR triggers broad differential localization of proteins including RNA-binding proteins and amino acid transporters. Moreover, we observe newly synthesized proteins including EGFR that show a differential localization under stress than the existing protein pools, reminiscent of protein trafficking disruptions. We next applied SPLAT to an induced pluripotent stem cell derived cardiomyocyte (iPSC-CM) model of cancer drug cardiotoxicity upon treatment with the proteasome inhibitor carfilzomib. Paradoxically, carfilzomib has little effect on global average protein half-life, but may instead selectively disrupt sarcomere protein homeostasis. This study provides a view into the interactions of protein spatial and temporal dynamics and demonstrates a method to examine protein homeostasis regulations in stress and drug response.
Automating data analysis for hydrogen/deuterium exchange mass spectrometry using data-independent acquisition methodology
Authors: Filandr Frantisek , Sarpe Vladimir , Raval Shaunak , Crowder D. Alex , Khan Morgan F. , Douglas Pauline , Coales Stephen , Viner Rosa , Syed Aleem , Tainer John A. , Lees-Miller Susan P. , Schriemer David C.
Published: March 2024

We present a hydrogen/deuterium exchange workflow coupled to tandem mass spectrometry (HX-MS2) that supports the acquisition of peptide fragment ions alongside their peptide precursors. The approach enables true auto-curation of HX data by mining a rich set of deuterated fragments, generated by collisional-induced dissociation (CID), to simultaneously confirm the peptide ID and authenticate MS1-based deuteration calculations. The high redundancy provided by the fragments supports a confidence assessment of deuterium calculations using a combinatorial strategy. The approach requires data-independent acquisition (DIA) methods that are available on most MS platforms, making the switch to HX-MS2 straightforward. Importantly, we find that HX-DIA enables a proteomics-grade approach and wide-spread applications. Considerable time is saved through auto-curation and complex samples can now be characterized and at higher throughput. We illustrate these advantages in a drug binding analysis of the ultra-large protein kinase DNA-PKcs, isolated directly from mammalian cells.
An analysis of adjuvant chemoradiotherapy versus chemotherapy on the survival rates for patients with stage IB-III uterine serous carcinoma
Authors: Li Shuqing , Yi Zhihui , Li Mingqing , Zhu Zhiling
Published: March 2024

The aim of the present study was to investigate whether a combination of chemotherapy plus radiotherapy was able to increase the overall survival rates compared with chemotherapy alone in stage IB-III uterine serous carcinoma. A total of 1096 patients (593 who had not received radiotherapy, and 503 who had) with primary stage IB-III uterine serous carcinoma who underwent surgery and received chemotherapy were included in the present study. The Kaplan–Meier method and Log-Rank tests showed that radiotherapy did not increase 5-year overall survival rates compared with the no-radiotherapy groups (52.3 cf. 50.8%, respectively; P = 0.641). Cox regression analysis subsequently corroborated that radiotherapy did not affect the 5-year overall survival rate (P = 0.635). Patients who were aged ≥ 60 years had a higher mortality rate [hazard ratio (HR), 1.712; 95% confidence interval (95% CI), 1.385–2.117; P < 0.05]. The 5-year overall survival rates were found to be lower in the groups where the regional lymph nodes had not been removed (HR 0.645; 95% CI 0.508–0.821; P < 0.05). Chemotherapy plus radiotherapy was found to not be associated with improved 5-year overall survival rates. However, chemotherapy may be a better treatment option for patients with primary stage IB-III uterine serous carcinoma who have undergone surgery.
Macro-meso damage characteristics of coal body under different pressure relief conditions
Authors: Li Jinyu , Pang Jiawei , Wang Lei , Zhao Hongbao , Zhang Yilong , Wang Tao
Published: March 2024

The mining of the protective coal seam usually produces different pressure relief effects on the different areas of protected coal seam, the reason is that the stress paths of protected seam coal body in different areas caused by mining effect are different. In order to explore the differential pressure relief damage effect of coal body under different pressure relief conditions, the stress evolution path of coal body in different areas of the protected coal seam is obtianed by using theoretical analysis and the macro–micro damage characteristics of coal body under different stress paths by using numerical simulation in this paper. The results show that: The damage characteristics of the sample models are basically the same in the in-situ stress recovery stage and the mining disturbance stage of the two stress paths. With ith the sequence of stress stages experienced by the sample model, the distribution of acoustic emission events concentrates in the high-intensity area and the porosity continues to decrease. The number of cracks increases slowly in the stage of in-situ stress recovery stage, most of which are tensile cracks, while the number of cracks increases sharply in the mining disturbance stage, most of which are shear cracks. The difference of the deformation and macro meso damage characteristics of the sample models under the two stress paths is mainly reflected in the post mining pressure relief stage. At the post mining pressure relief stage of path 1, the number of cracks in the sample has little growth, and most of them are small energy tensile cracks, and the porosity increases, which verifies its obvious pressure relief activation antireflection effect; At this stage of path 2, the crack growth of the sample is obvious, and most of them are high-energy shear cracks, and the porosity continues to decrease. Compared with path 1, the pressure relief expansion effect of the sample model is suppressed and the compression damage continues to develop in this stage of path 2.
Therapy effect of cochleural alternating acoustic beam therapy versus traditional sound therapy for managing chronic idiopathic tinnitus patients
Authors: Liu Chunli , Zhang Jie , Qi Zhiwei , Yue Wenhui , Yuan Yujie , Jiang Tao , Zhang Shenglin , Zhang Shujun
Published: March 2024

Idiopathic tinnitus is a common and complex disorder with no established cure. The CAABT (Cochleural Alternating Acoustic Beam Therapy CAABT), is a personalized sound therapy designed to target specific tinnitus frequencies and effectively intervene in tinnitus according to clinical tinnitus assessment. This study aimed to compare the effectiveness of the CAABT and Traditional Sound Therapy (TST) in managing chronic idiopathic tinnitus. This was a randomized, double-blind, parallel-group, single-center prospective study. Sixty adult patients with tinnitus were recruited and randomly assigned to the CAABT or TST group in a 1:1 ratio using a computer-generated randomization. The treatment lasted for 12 weeks, and participants underwent assessments using the tinnitus handicap inventory (THI), visual analog scale (VAS), tinnitus loudness measurements, and resting-state functional magnetic resonance imaging (rs-fMRI). Both groups showed significant reductions in THI scores, VAS scores, and tinnitus loudness after treatment. However, CAABT showed superiority to TST in THI Functional (p = 0.018), THI Emotional (p = 0.015), THI Catastrophic (p = 0.022), THI total score (p = 0.005) as well as VAS score (p = 0.022). More interesting, CAABT showed superiority to TST in the changes of THI scores, and VAS scores from baseline. The rs-fMRI results showed significant changes in the precuneus before and after treatment in both groups. Moreover, the CAABT group showed more changes in brain regions compared to the TST. No side effects were observed. These findings suggest that CAABT may be a promising treatment option for chronic idiopathic tinnitus, providing significant improvements in tinnitus-related symptoms and brain activity.

Trial registration: ClinicalTrials.gov:NCT02774122.
Anomaly detection in IoT-based healthcare: machine learning for enhanced security
Authors: Khan Maryam Mahsal , Alkhathami Mohammed
Published: March 2024

Internet of Things (IoT) integration in healthcare improves patient care while also making healthcare delivery systems more effective and economical. To fully realize the advantages of IoT in healthcare, it is imperative to overcome issues with data security, interoperability, and ethical considerations. IoT sensors periodically measure the health-related data of the patients and share it with a server for further evaluation. At the server, different machine learning algorithms are applied which help in early diagnosis of diseases and issue alerts in case vital signs are out of the normal range. Different cyber attacks can be launched on IoT devices which can result in compromised security and privacy of applications such as health care. In this paper, we utilize the publicly available Canadian Institute for Cybersecurity (CIC) IoT dataset to model machine learning techniques for efficient detection of anomalous network traffic. The dataset consists of 33 types of IoT attacks which are divided into 7 main categories. In the current study, the dataset is pre-processed, and a balanced representation of classes is used in generating a non-biased supervised (Random Forest, Adaptive Boosting, Logistic Regression, Perceptron, Deep Neural Network) machine learning models. These models are analyzed further by eliminating highly correlated features, reducing dimensionality, minimizing overfitting, and speeding up training times. Random Forest was found to perform optimally across binary and multiclass classification of IoT Attacks with an approximate accuracy of 99.55% under both reduced and all feature space. This improvement was complimented by a reduction in computational response time which is essential for real-time attack detection and response.
Twitter users perceptions of AI-based e-learning technologies
Authors: Stracqualursi Luisa , Agati Patrizia
Published: March 2024

Today, teaching and learning paths increasingly intersect with technologies powered by emerging artificial intelligence (AI).This work analyses public opinions and sentiments about AI applications that affect e-learning, such as ChatGPT, virtual and augmented reality, microlearning, mobile learning, adaptive learning, and gamification. The way people perceive technologies fuelled by artificial intelligence can be tracked in real time in microblog messages promptly shared by Twitter users, who currently constitute a large and ever-increasing number of individuals. The observation period was from November 30, 2022, the date on which ChatGPT was launched, to March 31, 2023. A two-step sentiment analysis was performed on the collected English-language tweets to determine the overall sentiments and emotions. A latent Dirichlet allocation model was built to identify commonly discussed topics in tweets. The results show that the majority of opinions are positive. Among the eight emotions of theSyuzhetpackage, ‘trust’ and ‘joy’ are the most common positive emotions observed in the tweets, while ‘fear’ is the most common negative emotion. Among the most discussed topics with a negative outlook, two particular aspects of fear are identified: an ‘apocalyptic-fear’ that artificial intelligence could lead the end of humankind, and a fear for the ‘future of artistic and intellectual jobs’ as AI could not only destroy human art and creativity but also make the individual contributions of students and researchers not assessable. On the other hand, among the topics with a positive outlook, trust and hope in AI tools for improving efficiency in jobs and the educational world are identified. Overall, the results suggest that AI will play a significant role in the future of the world and education, but it is important to consider the potential ethical and social implications of this technology. By leveraging the positive aspects of AI while addressing these concerns, the education system can unlock the full potential of this emerging technology and provide a better learning experience for students.
A drug stabilizable GAL80ds for conditional control of gene expression via GAL4-UAS and CRISPR-Cas9 systems in Drosophila
Authors: Kogenaru Vaishnavi , Isalan Mark , Kogenaru Manjunatha
Published: March 2024

The binary GAL4-UAS expression system has been widely used in Drosophila to achieve tissue-specific expression of genes. To further allow for simultaneous spatial and conditional control of gene expression in existing GAL4 expression lines backgrounds, temperature and chemical controllable GAL80 variants have been engineered. Here we add a new drug stabilizable GAL80ds variant, by fusing it to a low-background DHFR-22-DD. We first quantify both single (DD-GAL80) and double (DD-GAL80-DD) architectures and show varied background and activation levels. Next, we demonstrate the utility of GAL80dsDrosophila line to regulate a cell death gene ectopically, in a drug-dependent manner, by utilizing an existing tissue-specific GAL4 driver that regulates the expression of a cell death gene under a UAS. Finally, we showcase the usefulness of GAL80ds in tight drug-mediated regulation of a target gene, from an endogenous locus, by utilizing an existing tissue-specific GAL4 to drive the expression of a dead Cas9 variant fused to the transcriptional coactivator nejire, under a UAS and in gRNA lines. Overall, these new GAL80ds lines expand the use of the wide variety of existing tissue-specific GAL4 and gene-specific gRNA lines. This enables conditional control of genes, both ectopically and endogenously, for a broad array of gene expression control applications.
An autonomous wheelchair with health monitoring system based on Internet of Thing
Authors: Hou Lei , Latif Jawwad , Mehryar Pouyan , Withers Stephen , Plastropoulos Angelos , Shen Linlin , Ali Zulfiqur
Published: March 2024

Assistive powered wheelchairs will bring patients and elderly the ability of remain mobile without the direct intervention from caregivers. Vital signs from users can be collected and analyzed remotely to allow better disease prevention and proactive management of health and chronic conditions. This research proposes an autonomous wheelchair prototype system integrated with biophysical sensors based on Internet of Thing (IoT). A powered wheelchair system was developed with three biophysical sensors to collect, transmit and analysis users’ four vital signs to provide real-time feedback to users and clinicians. A user interface software embedded with the cloud artificial intelligence (AI) algorithms was developed for the data visualization and analysis. An improved data compression algorithm Minimalist, Adaptive and Streaming R-bit (O-MAS-R) was proposed to achieve a higher compression ratio with minimum 7.1%, maximum 45.25% compared with MAS algorithm during the data transmission. At the same time, the prototype wheelchair, accompanied with a smart-chair app, assimilates data from the onboard sensors and characteristics features within the surroundings in real-time to achieve the functions including obstruct laser scanning, autonomous localization, and point-to-point route planning and moving within a predefined area. In conclusion, the wheelchair prototype uses AI algorithms and navigation technology to help patients and elderly maintain their independent mobility and monitor their healthcare information in real-time.
Identification of diagnostic markers for moyamoya disease by combining bulk RNA-sequencing analysis and machine learning
Authors: Xu Yifan , Chen Bing , Guo Zhongxiang , Chen Cheng , Wang Chao , Zhou Han , Zhang Chonghui , Feng Yugong
Published: March 2024

Moyamoya disease (MMD) remains a chronic progressive cerebrovascular disease with unknown etiology. A growing number of reports describe the development of MMD relevant to infection or autoimmune diseases. Identifying biomarkers of MMD is to understand the pathogenesis and development of novel targeted therapy and may be the key to improving the patient’s outcome. Here, we analyzed gene expression from two GEO databases. To identify the MMD biomarkers, the weighted gene co-expression network analysis (WGCNA) and the differential expression analyses were conducted to identify 266 key genes. The KEGG and GO analyses were then performed to construct the protein interaction (PPI) network. The three machine-learning algorithms of support vector machine-recursive feature elimination (SVM-RFE), random forest and least absolute shrinkage and selection operator (LASSO) were used to analyze the key genes and take intersection to construct MMD diagnosis based on the four core genes found (ACAN, FREM1, TOP2A and UCHL1), with highly accurate AUCs of 0.805, 0.903, 0.815, 0.826. Gene enrichment analysis illustrated that the MMD samples revealed quite a few differences in pathways like one carbon pool by folate, aminoacyl-tRNA biosynthesis, fat digestion and absorption and fructose and mannose metabolism. In addition, the immune infiltration profile demonstrated that ACAN expression was associated with mast cells resting, FREM1 expression was associated with T cells CD4 naive, TOP2A expression was associated with B cells memory, UCHL1 expression was associated with mast cells activated. Ultimately, the four key genes were verified by qPCR. Taken together, our study analyzed the diagnostic biomarkers and immune infiltration characteristics of MMD, which may shed light on the potential intervention targets of moyamoya disease patients
Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology
Authors: Ozbozduman Kaan , Loc Irem , Durmaz Selahattin , Atasoy Duygu , Kilic Mert , Yildirim Hakan , Esen Tarik , Vural Metin , Unlu M. Burcin
Published: March 2024

This study aimed to enhance the accuracy of Gleason grade group (GG) upgrade prediction in prostate cancer (PCa) patients who underwent MRI-guided in-bore biopsy (MRGB) and radical prostatectomy (RP) through a combined analysis of prebiopsy and MRGB clinical data. A retrospective analysis of 95 patients with prostate cancer diagnosed by MRGB was conducted where all patients had undergone RP. Among the patients, 64.2% had consistent GG results between in-bore biopsies and RP, whereas 28.4% had upgraded and 7.4% had downgraded results. GG1 biopsy results, lower biopsy core count, and fewer positive cores were correlated with upgrades in the entire patient group. In patients with $$\hbox {GG}>1$$

GG
>
1

, larger tumor sizes and fewer biopsy cores were associated with upgrades. By integrating MRGB data with prebiopsy clinical data, machine learning (ML) models achieved 85.6% accuracy in predicting upgrades, surpassing the 64.2% baseline from MRGB alone. ML analysis also highlighted the value of the minimum apparent diffusion coefficient ($$\hbox {ADC}_{\text{min}}$$

ADC
min

) for $$\hbox {GG}>1$$

GG
>
1

patients. Incorporation of MRGB results with tumor size, $$\hbox {ADC}_{\text{min}}$$

ADC
min

value, number of biopsy cores, positive core count, and Gleason grade can be useful to predict GG upgrade at final pathology and guide patient selection for active surveillance.
Investigation of the molecular switching process between spin crossover states of triazole complexes as basis for optical sensing applications
Authors: Günther Axel , Deja Yves , Kilic Maximilian , Tran Kevin , Kotra Pavan , Renz Franz , Kowalsky Wolfgang , Roth Bernhard
Published: March 2024

With the advent of the first laser sources and suitable detectors, optical sensor applications immediately also came into focus. During the last decades, a huge variety of optical sensor concepts were developed, yet the forecast for the future application potential appears even larger. In this context, the development of new sensor probes at different scales down to the atomic or molecular level open new avenues for research and development. We investigated an iron based triazole molecular spin-crossover complex changing its absorption characteristics significantly by varying environmental parameters such as humidity, temperature, magnetic or electric field, respectively, with respect to its suitability for a new class of versatile molecular sensor probes. Hereby, besides the investigation of synthesized pure bulk material using different analyzing methods, we also studied amorphous micro particles which were applied in or onto optical waveguide structures. We found that significant changes of the reflection spectra can also be obtained after combining the particles with different types of optical waveguides.The obtained results demonstrate the suitability of the material complex for a broad field of future sensor applications.
Numerical investigation of shipping noise in the Red Sea
Authors: Larayedh Rihab , Cornuelle Bruce D. , Krokos George , Hoteit Ibrahim
Published: March 2024

Underwater noise pollution is a significant environmental issue that can have detrimental effects on marine ecosystems. One of the main sources of underwater noise pollution is ship traffic, which has been shown to negatively impact marine animals by masking communication signals and altering their behaviors. This study represents the first comprehensive analysis of underwater ship noise in the Red Sea, wherein noise maps of ships sailing through the main shipping lane in the Red Sea were simulated by integrating both anthropogenic and environmental variables. These maps offer valuable insights for policymakers, enabling them to make informed decisions and implement targeted mitigation efforts.
Safety and efficacy of cardioneuroablation for vagal bradycardia in a single arm prospective study
Authors: Han Yafan , Shao Mingliang , Yang Hang , Sun Huaxin , Sang Wanyue , Wang Lu , Wang Liang , Yang Suxia , Jian Yi , Tang Baopeng , Li Yaodong
Published: March 2024

Cardioneuroablation (CNA) is currently considered as a promising treatment option for patients with symptomatic bradycardia caused by vagotonia. This study aims to further investigate its safety and efficacy in patients suffering from vagal bradycardia. A total of 60 patients with vagal bradycardia who underwent CNA in the First Affiliated Hospital of Xinjiang Medical University from November 2019 to June 2022. Preoperative atropine tests revealed abnormal vagal tone elevation in all patients. First, the electroanatomic structures of the left atrium was mapped out by using the Carto 3 system, according to the protocol of purely anatomy-guided and local fractionated intracardiac electrogram-guided CNA methods. The upper limit of ablation power of superior left ganglion (SLGP) and right anterior ganglion (RAGP) was not more than 45W with an ablation index of 450.Postoperative transesophageal cardiac electrophysiological examination was performed 1 to 3 months after surgery. The atropine test was conducted when appropriate. Twelve-lead electrocardiogram, Holter electrocardiogram, and skin sympathetic nerve activity were reviewed at 1, 3, 6 and 12 months after operation. Adverse events such as pacemaker implantation and other complications were also recorded to analyze the safety and efficacy of CNA in the treatment of vagus bradycardia. Sixty patients were enrolled in the study (38 males, mean age 36.67 ± 9.44, ranging from 18 to 50 years old). None of the patients had a vascular injury, thromboembolism, pericardial effusion, or other surgical complications. The mean heart rate, minimum heart rate, low frequency, low/high frequency, acceleration capacity of rate, and skin sympathetic nerve activity increased significantly after CNA. Conversely, SDNN, PNN50, rMSSD, high frequency, and deceleration capacity of rate values decreased after CNA (all P < 0.05). At 3 months after ablation, the average heart rate, maximum heart rate, and acceleration capacity of heart rate remained higher than those before ablation, and the deceleration capacity of heart rate remained lower than those before ablation and the above results continued to follow up for 12 months after ablation (all P < 0.05). There was no significant difference in other indicators compared with those before ablation (all P > 0.05). The remaining 81.67% (49/60) of the patients had good clinical results, with no episodes of arrhythmia during follow-up. CNA may be a safe and effective treatment for vagal-induced bradycardia, subject to confirmation by larger multicenter trials.
Ascorbic acid mitigates the impact of oxidative stress in a human model of febrile seizure and mesial temporal lobe epilepsy
Authors: Scalise Stefania , Zannino Clara , Lucchino Valeria , Lo Conte Michela , Abbonante Vittorio , Benedetto Giorgia Lucia , Scalise Mariangela , Gambardella Antonio , Parrotta Elvira Immacolata , Cuda Giovanni
Published: March 2024

Prolonged febrile seizures (FS) in children are linked to the development of temporal lobe epilepsy (MTLE). The association between these two pathologies may be ascribed to the long-term effects that FS exert on neural stem cells, negatively affecting the generation of new neurons. Among the insults associated with FS, oxidative stress is noteworthy. Here, we investigated the consequences of exposure to hydrogen peroxide (H2O2) in an induced pluripotent stem cell-derived neural stem cells (iNSCs) model of a patient affected by FS and MTLE. In our study, we compare the findings from the MTLE patient with those derived from iNSCs of a sibling exhibiting a milder phenotype defined only by FS, as well as a healthy individual. In response to H2O2 treatment, iNSCs derived from MTLE patients demonstrated an elevated production of reactive oxygen species and increased apoptosis, despite the higher expression levels of antioxidant genes and proteins compared to other cell lines analysed. Among the potential causative mechanisms of enhanced vulnerability of MTLE patient iNSCs to oxidative stress, we found that these cells express low levels of the heat shock protein HSPB1 and of the autophagy adaptor SQSTM1/p62. Pre-treatment of diseased iNSCs with the antioxidant molecule ascorbic acid restored HSBP1 and p62 expression and simultaneously reduced the levels of ROS and apoptosis. Our findings suggest the potential for rescuing the impaired oxidative stress response in diseased iNSCs through antioxidant treatment, offering a promising mechanism to prevent FS degeneration in MTLE.
The potential of lignocellulosic biomass for magnetic solid phase extraction of naproxen from saliva samples
Authors: Aouled Abdallah Marwa , Ben Sghaier Rafika , Zougagh Mohammed , Latrous Latifa , Megriche Adel
Published: March 2024

Magnetic biochars from almond, walnut, and peanut shells present a groundbreaking method for efficient naproxen extraction from saliva.
A three-dimensional network structure of metal-based nanozymes for the construction of colorimetric sensors for the detection of antioxidants
Authors: Qin Shuo , Liu Bin , Xue Yuting , Zhao Ruixue , Wang Guo , Li Kai , Zheng Lirong , Wang Pingyang , Tang Tianhao , Yang Yue , Chen Zhengbo , Zuo Xia
Published: March 2024

Although many excellent nanozymes have been developed, designing and synthesizing highly active nanozymes is still challenging.
Plasmonic-based Raman sensor for ultra-sensitive detection of pharmaceutical waste
Authors: Hamode Mohamed , Krause Alon , Shehadeh Maria , Schmerling Bruria , Zar Tchiya , Pinkas Iddo , Zitoun David , Salomon Adi
Published: March 2024

Pharmaceutical waste and contaminants pose a significant global concern for water and food safety.
Comparing lycopene's impact on mortality in adults with or without obesity
Authors: Han Xiaorong , Liu Jinxing , Gu Yingzhen , Li Yifan , Zhang Wei , Lv Naqiang , Dang Aimin
Published: March 2024

Serum lycopene exhibits distinct associations with all-cause and cardiovascular mortality in populations with or without obesity.
Absorption and transport properties of a codfish-derived peptide and its protective effect on bone loss in ovariectomized mice
Authors: Yang Meilian , Su Shengpeng , Cheng Shuzhen , Wang Zhenyu , Du Ming
Published: March 2024

GETNPADSKPGSIR (P-GM-2), a novel osteoblastic peptide identified from Gadus morhua, can enter the blood circulation intact through the intestinal barrier and exert anti-osteoporotic effects in vivo.
The influence of crystal structures on the performance of CoMoO4 battery-type supercapacitor electrodes
Authors: Yang Kunli , Cline Joseph P. , Kim Bohyeon , Kiely Christopher J. , McIntosh Steven
Published: March 2024

The low-temperature hydrate phase of CoMoO4 exhibits facile surface kinetics and high capacity as a supercapacitor electrode material.
Enhanced electromagnetic wave absorption properties of SiCN(Ni)/BN ceramics by in situ generated Ni and Ni3Si
Authors: Tong Yanchun , Liu Chunmiao , Liu Chang , Sun Haibin , Feng Yurun , Hu Qiangqiang , Zhang Hongying , Zhao Yujun , Guo Xue , Wu Shigang
Published: March 2024

The electromagnetic wave loss mechanism of the material in this paper is mainly polarization loss; the minimum reflection loss reaches −53.47 dB, and the effective bandwidth is 2.32 GHz.
6-Aryl-4-cycloamino-1,3,5-triazine-2-amines: synthesis, antileukemic activity, and 3D-QSAR modelling
Authors: Bin Shahari Muhammad Syafiq , Junaid Ahmad , Tiekink Edward R. T. , Dolzhenko Anton V.
Published: March 2024

New potent and selective antileukemic agents were identified in the screening of 94 compounds prepared using a convenient one-pot three-component approach.
Open shell (4n + 2)π and closed shell 4nπ planar core-modified decaphyrins
Authors: Shukla Pragati , Ambhore Madan D. , Anand Venkataramanarao G.
Published: March 2024

The first examples of planar decaphyrins with 44π and 46π electrons have been synthesized from ten thiophene units. 4nπ decaphyrins exhibit a closed shell character, while (4n + 2)π macrocycles display open shell diradicaloid character.
Phenylboronate-salicylate ester cross-linked self-healing hydrogel composed of modified hyaluronan at physiological pH
Authors: Miki Ryotaro , Yamaki Tsutomu , Uchida Masaki , Natsume Hideshi
Published: March 2024

A self-healing hydrogel can be easily prepared at physiological pH by using phenylboronic acid-modified hyaluronic acid and salicylic acid-modified hyaluronic acid.
MOF-modified C3N4 for efficient photo-induced removal of uranium under air without sacrificial agents
Authors: Zhang Lingyu , Yang Yuhao , Zhao Nan , Liu Shuang , Wang Zhe , Wang Xiangke , Lu Yuexiang
Published: March 2024

MOF-modified C3N4 composite material was prepared with a suitable band structure and it could be applied for photocatalytic removal of uranium under air atmosphere without the addition of sacrificial agents.
Towards opto-structural parameters to enhance the circularly polarized luminescence brightness of EuIII β-diketone complexes with chiral auxiliary ligands
Authors: Diogenis Isabela Moreira Soares , Bispo-Jr Airton Germano , Pirovani Rodrigo Vezula , Saraiva Leonardo Figueiredo , Gozzo Fabio Cesar , Correia Carlos Roque Duarte , Mazali Italo Odone , Nome Rene Alfonso , Sigoli Fernando Aparecido
Published: March 2024

Tuning the overall emission quantum yield (ϕLLn), dissymmetry factor (glum), as well as CPL brightness by changing the electronic structure and microsymmetry of the EuIII coordination polyhedron.
Enhancing the separation of C2H4/C2H6 in customized MOR zeolites
Authors: Chen Hongwei , Wang Binyu , Zhang Bin , Ren Yongheng , Chen Jiuhong , Gui Jiabao , Shi Xiufeng , Yan Wenfu , Li Jinping , Li Libo
Published: March 2024

MOR zeolites synthesized with cost-effective, non-toxic materials enhance ethylene separation without Ag or Cu modification. The customized framework composition improves adsorptive properties economically.
Electrochemical oxidative heterodifunctionalization of dehydroalanine: access to unnatural α,α-disubstituted amino esters
Authors: Cao Hui , Wang Ruitao , Zhang Qianqiu , Lu Cuifen , Weng Yue , Gao Meng
Published: March 2024

A general, efficient, and mild Dha electrochemical modification strategy is reported, which enables a divergent route to various α,α-disubstituted amino esters via anodic cascade oxidation and nucleophilic attack.
A DFT investigation on structural, electronic, magnetic, optical, elastic and hydrogen storage properties of Ru-based hydride-perovskites XRuH3 (X = Cr, V, Ni)
Authors: Parvaiz Muhammad Mubeen , Khalil Adnan , Bilal Tahir Muhammad , Ayub Sania , Ali Tarik E. , Masood Hafiz Tariq
Published: March 2024

This study is the first to investigate the physical properties of ruthenium-based hydride perovskites, specifically XRuH3 (where X = Cr, V, Ni). There is currently no existing literature on these compounds.
Crystallization of amorphous anodized TiO2 nanotube arrays
Authors: Wang Zhiqiang , Chen Kunfeng , Xue Dongfeng
Published: March 2024

Amorphous anodized TiO2 nanotube arrays show amorphous-to-anatase transition. The amorphous–anatase mixed structure significantly improved Li-ion battery performance.
An antiviral oligomerized linear thiopeptide with a nitrile group from soil-derived Streptomyces sp. CPCC 203702
Authors: Guo Zhe , Zhang Dewu , Wang Yujia , Bai Jinglin , Hu Jun , Cen Shan , Yu Liyan
Published: March 2024

A new linear thiopeptide, bernitrilecin (1) was isolated from Streptomyces sp. CPCC 203702. Compound 1 is an unusual oligomeric linear thiopeptide with a nitrile group.
A “two-birds-one-stone” strategy to enhance capacitive deionization performance of flexible Ti3C2Tx MXene film electrodes by surface modification
Authors: Huang Chuhan , Huang Tianqin , Li Xue Liang , Zhou Wei , Ding Meng
Published: March 2024

A dual-function strategy is proposed that uses sodium ascorbate to modify Ti3C2Tx MXene for flexible and free-standing electrodes for capacitive deionization, enhancing its oxidation resistance and salt adsorption capacity.
An in situ hydrothermally self-crystallized dense ceria-based barrier layer for solid oxide fuel cells
Authors: Lyu Qiuqiu , Zhao Haoyu , He Jianyu , Wang Yuhao , Xiang Yongkang , Qu Hongxia , Zhong Qin , Sun Yifei , Zhu Tenglong
Published: March 2024

Dense GDC barrier layers are successfully prepared via in situ hydrothermal self-crystallization at 180 °C. The excellent electrochemical performance is attributed to shortened oxygen ion transport path and optimized electrolyte/cathode interface.
Unsupervised remote sensing image thin cloud removal method based on contrastive learning
Authors: Tan Zhan Cong , Du Xiao Feng , Man Wang , Xie Xiao Zhu , Wang Gui Song , Nie Qin
Published: March 2024

Cloud removal algorithm is a crucial step of remote sensing image preprocessing. The current mainstream remote sensing image cloud removal algorithms are implemented based on deep learning, and most of them are supervised. A large number of data pairs are required for training to achieve cloud removal. However, real with/without cloud image pairs datasets are difficult to obtain in the real world, and the models obtained by training on synthetic datasets often need to generalize better to natural scenes. And the existing unsupervised thin cloud removal methods based on Cycle‐GAN framework with considerable model complexity and unstable training are not an excellent solution to the problem of lack of paired datasets. Based on this, in this paper, the authors propose an unsupervised remote sensing image thin cloud removal method based on contrastive learning—GAN‐UD. It is a network consisting of a frequency‐spatial attention generator and a discriminator. In addition, the authors introduce local contrastive loss and global content loss to constrain the content of the generated images to ensure that the generated cloud‐free images are consistent with the input cloud images in terms of image content. Experimental results show that the proposed method in this paper can still effectively remove thin clouds from remote sensing images without paired training datasets, outperforms current unsupervised cloud removal methods, and achieves comparable performance to supervised methods.
Nozzle effects on spray combustion and emissions in compression ignition engines using waste cooking oil biodiesel: A computational fluid dynamics analysis at varying injection pressures
Authors: Yadav Prem Shanker , Ahmed Samer Fikry Abdelfatt , Gautam Raghvendra , Caliskan Hakan , Caliskan Nesrin , Hong Hiki
Published: March 2024

This study investigates the spray combustion characteristics of waste cooking oil (WCO) in comparison between a swirl nozzle (SN) and a conventional nozzle (CN) of equal cross‐section. n‐Heptane, methyl decanoate, and methyl‐9‐decenoate were used as WCO substitutes in the simulation. The research primarily focuses on multiphase flow using the Lagrangian‐drop Eulerian‐fluid (LDEF) method, employing an equilibrium phase spray model (EP) for droplet behaviour analysis. The model's efficacy was validated through comparisons with experimental works by other engine researchers. At varying injection pressures, the study found that SN slightly reduced evaporative spray tip penetration but increased the cone angle compared to CN. This suggests early fuel jet disintegration and improved air entrainment due to SN. SN also showed a higher heat release rate and temperature, with soot reduction between 3.20 to 6.72% as injection pressure increased from 100 to 300 MPa. This indicates that SN achieves better air‐fuel mixture than CN. Further, the study discovered that the influence of SN becomes more significant as the rheological properties of WCO lessen under ultra‐high injection pressures.
Analysis of Stunting Factors in Toddlers Using Data Mining Method the Apriori Algorithm
Authors: Hasani Rofi Abul , Yudianto Muhammad Resa , Sukmasetya Pristi
Published: March 2024

Stunting is one of the developmental problems in children which is influenced by many factors. Experts of nutrition mention several influencing factors such as nutrition during pregnancy, the mother's knowledge about nutrition, limited access to services, and inadequate access to sanitation and water hygiene. These patterns will be analyzed using a data mining method. In this study, 557 stunting data in Jakarta will be analyzed. The data mining method used is the association rule with the a priori algorithm. The steps taken are to perform data cleaning, data integration, data transformation, data mining, and pattern evaluation. There are many attributes in the data studied, but it is determined that several attributes are appropriate to obtain optimal results. The attributes taken are adjusted to research from the health sector. The test results produce several association rules. From all the association rules obtained using the Apriori algorithm, it is taken that meets a minimum support of 0.2 and a minimum confidence of 0.5. There is a result of 73% of the total meeting the minimum support and confidence. So that the results of the association rules can be used by health experts and stakeholders as a reference in determining policy.
IoT Application for Monitoring and Recording Solar Power Plant Data
Authors: Rahmat  , Nugroho Budi , Purwono Arif Hidayat
Published: March 2024

The availability of fossil energy sources to produce electricity for the purposes of providing electricity used by industry and society is increasingly limited. Alternative sources of electricity that do not depend on fossil energy sources as an energy source to drive prime mover generators for power plants have been mobilized and developed as alternative sources of electricity, one of which is solar cells. The use of solar cells as a device that can convert sunlight into electrical voltage and then store it in a battery, becomes an alternative source of electrical energy to meet various electrical power needs. Monitoring the current and voltage produced by solar cells is very necessary to find out how much power the solar cells we use produce. We can determine the intensity of light absorbed by solar cells by measuring light intensity. The goal of this project is to monitor and track the electrical power generated by solar power plants using Internet of Things (IoT) technologies. A web server, an ESP32 to process data from the current and voltage sensors mounted on the solar cell and then transfer it to the web server, and a smartphone to monitor the current and voltage produced by the solar cell make up the built Internet of Things system. Smartphones can access the data that is sent from the ESP32 because it is saved on a web server. Data from measurements from the IoT system that we created for monitoring power on solar panels taken on 6 November 2023 until 12 November 2023 Obtained data of average/day 140.2VA and measurements of average light intensity 31,380 lux. This data describes the power produced per day from a place with the intensity of light received by solar cells to produce electrical power as a result of monitoring data from the IoT system that we developed. From the case above, the IoT system that we have developed can monitor initial data for a place where solar panels will be installed to be used as a solar power plant.
Revolutionizing Language Learning: Exploring the Efficacy of Augmented Reality Technology Through Assemblr Studio
Authors: Kurniawan Prasetyo Yuli , Nisa Elsara Khairun , Sari Fitriana Kartika , Ramdhan Nur Ariesanto
Published: March 2024

The use of AR in education has garnered attention as an innovative method to enhance engagement and effectiveness of learning. This study focuses on integrating Augmented Reality (AR) into language improve student motivation, it can learning communication skills, and writing proficiency. The research aims to explore and analyze the impact of implementing AR technology using Assemblr Studio in language learning contexts. The research methodology employs a mixed methods approach, with data collected through surveys, language proficiency tests, interviews, and participatory observations. The study involves students at Muhadi Setiabudi University learning with AR-based educational media tailored for language learning. Results show that implementing Augmented Reality (AR) using Assemblr Studio produces innovative learning media, particularly in writing and speaking skills. Three-dimensional (3D) media using AR is found effective in learning, with students responding positively to its use. Furthermore, AR technology can enhance the quality of language learning by providing engaging, interactive, and personalized learning experiences, fostering better understanding and authentic language use in real-world contexts.
The Effectiveness of Ground Sill Structure in Reducing Local Scouring at Cipamingkis River
Authors: Masyhura Rizka , Suryadi Yadi , Santoso Imam
Published: March 2024

Cipamingkis River is a subriver of Cibeet river located in Jonggol District, Bogor Regency, West Java Province. On the Cipamingkis river, there is a vital irrigation infrastructure known as the Cipamingkis Dam, which can irrigate approximately 4,591 hectares of rice fields in Bogor Regency and Bekasi Regency. Cipamingkis dam located in Jatinunggal Village, is on the northern slope of the West Java hills which has a relatively steep riverbed slope so that the possibility of degradation of the riverbed is relatively high. slope of the riverbed is relatively steep so that the possibility of riverbed degradation is quite high. riverbed degradation is quite high. In 2020 there were two Ground Sills that had been built upstream of the Cipamingkis weir. The Ground Sill built across the river aims to reduce the current velocity and increase the sediment deposition rate upstream of the Ground Sill so that the slope of the riverbed is relatively gentle and the Cipamingkis Dam does not experience structural failure as has happened before. The effectiveness is determined by comparing the riverbed elevation around the dam structure, before and after years construction of the Ground Sill structure.
Study on the Impact of Land Use Changes Caused by IKN Development on Sanggai River Flood Discharge
Authors: Sujana Fredy Riandy , Chaidar Ana Nurganah , Hatmoko Waluyo
Published: March 2024

In 2019, President Joko Widodo implemented a political policy to relocate the capital of the Republic of Indonesia from DKI Jakarta to Penajam Paser Utara Regency and Kutai Kartanegara Regency. Construction has commenced and will be executed in several stages until 2045. The primary development stage will concentrate on the Central Government Core Area (KIPP). The relocation of the National Capital poses several potential problems, one being the risk of inundation and flooding. The government aims to minimize this risk by creating green areas covering up to 70% of the total area of IKN. Additionally, the government is constructing flood control infrastructure, including retention ponds, check dams, bottom controllers, and other structures. One of the rivers that flows through KIPP is the Sanggai River, covering a catchment area of 19.3 km2 with a river length of 9.8 km. This research will discuss the impact of IKN development on the Sanggai River Catchment Area, focusing on proposed changes in land use and alterations in flood discharge within this river. Furthermore, the study will investigate the influence of constructing flood control buildings (retention ponds and bottom controllers) using modeling on HEC-RAS. The objective of this research is to assess the effectiveness of flood control structures and estimate the potential for flood inundation.