bluuebunny/crossref_metadata_2025_split huggingface dataset:
Direct Z-scheme heterojunction impregnated MoS2–NiO–CuO nanohybrid for efficient photocatalyst and dye-sensitized solar cell
Authors: Dharmalingam Karthigaimuthu , Bojarajan Arjun Kumar , Gopal Ramalingam , Thangavel Elangovan , Burhan Al Omari Salah Addin , Sangaraju Sambasivam 
Published: June 2024

AbstractIn this present work, the preparation of ternary MoS2–NiO–CuO nanohybrid by a facile hydrothermal process for photocatalytic and photovoltaic performance is presented. The prepared nanomaterials were confirmed by physio-chemical characterization. The nanosphere morphology was confirmed by electron microscopy techniques for the MoS2–NiO–CuO nanohybrid. The MoS2–NiO–CuO nanohybrid demonstrated enhanced crystal violet (CV) dye photodegradation which increased from 50 to 95% at 80 min; The degradation of methyl orange (MO) dye increased from 56 to 93% at 100 min under UV–visible light irradiation. The trapping experiment was carried out using different solvents for active species and the Z-Scheme photocatalytic mechanism was discussed in detail. Additionally, a batch series of stability experiments were carried out to determine the photostability of materials, and the results suggest that the MoS2–NiO–CuO nanohybrid is more stable even after four continuous cycles of photocatalytic activity. The MoS2–NiO–CuO nanohybrid delivers photoconversion efficiency (4.92%) explored efficacy is 3.8 times higher than the bare MoS2 (1.27%). The overall results indicated that the MoS2–NiO–CuO nanohybrid nanostructure could be a potential candidate to be used to improve photocatalytic performance and DSSC solar cell applications as well.
Conditions that promote transcellular neutrophil migration in vivo
Authors: Xia Min , Stegmeyer Rebekka I. , Shirakura Keisuke , Butz Stefan , Thiriot Aude , von Andrian Ulrich H. , Vestweber Dietmar 
Published: June 2024

AbstractCirculating leukocytes enter tissue either through endothelial junctions (paracellular) or via a pore through the body of endothelial cells (transcellular). We have previously shown that genetically replacing VE-cadherin with a VE-cadherin-α-catenin (VEC-αC) fusion construct—which binds constitutively to actin—obstructs junctions, and blocks leukocyte extravasation in lung, skin and postcapillary venules of cremaster muscle. However, neutrophil recruitment into the inflamed peritoneal cavity was unimpaired. Investigating reasons for this, here, we visualized neutrophil diapedesis by 3D intravital video microscopy in the cremaster muscle and omentum, the major site of neutrophil recruitment into the peritoneal cavity. We found that 80% of neutrophil-extravasation occurred through HEVs in the omentum, which was unimpaired by VEC-αC. In addition, in larger venules (60–85 µm) of both tissues, less than 15% of neutrophils extravasated transcellularly in WT mice. However, in VEC-α-C mice, transcellular diapedesis increased severalfold in the omentum, but not in the cremaster. In line with this, omental venules expressed higher levels of ICAM-1 and atypical chemokine receptor 1. Furthermore, only in the omentum, VEC-αC expression caused reduced elongation of venular endothelium in flow-direction, suggesting different biomechanical properties. Collectively, VEC-αC does not inhibit paracellular transmigration in all types of venules and can modulate the diapedesis route.
Comparative electrochemical study of veterinary drug danofloxacin at glassy carbon electrode and electrified liquid–liquid interface
Authors: Rudnicki Konrad , Budzyńska Sylwia , Skrzypek Sławomira , Poltorak Lukasz 
Published: June 2024

AbstractThis work compares the electroanalytical performance of two electroanalytical systems based on (1) the glassy carbon electrode (GCE), and (2) the electrified liquid–liquid interface (eLLI), for the detection of fluoroquinolone antibiotic–danofloxacin (DANO). Our aim was to define the optimal conditions to detect the chosen analyte with two employed systems, extract a number of electroanalytical parameters, study the mechanism of the charge transfer reactions (oxidation at GCE and ion transfer across the eLLI), and to provide physicochemical constants for DANO. Detection of the chosen analyte was also performed in the spiked milk samples. To the best of our knowledge, this is the first work that directly compares the electroanalytical parameters obtained with solid electrode (in this case GCE) and eLLI. We have found that for DANO the latter provides better electroanalytical parameters (lower LOD and LOQ) as well as good selectivity when the milk was analyzed.
Effect of apigetrin in pseudo-SARS-CoV-2-induced inflammatory and pulmonary fibrosis in vitro model
Authors: Han Hengmin , Kim Jung-Eun , Lee Hyo-Jeong 
Published: June 2024

AbstractSARS-CoV-2 has become a global public health problem. Acute respiratory distress syndrome (ARDS) is the leading cause of death due to the SARS-CoV-2 infection. Pulmonary fibrosis (PF) is a severe and frequently reported COVID-19 sequela. In this study, an in vitro model of ARDS and PF caused by SARS-CoV-2 was established in MH-S, THP-1, and MRC-5 cells using pseudo-SARS-CoV-2 (PSCV). Expression of proinflammatory cytokines (IL-6, IL-1β, and TNF-α) and HIF-1α was increased in PSCV-infected MH-S and THP-1 cells, ARDS model, consistent with other profiling data in SARS-CoV-2-infected patients have been reported. Hypoxia-inducible factor-1 alpha (HIF-1α) siRNA and cobalt chloride were tested using this in vitro model. HIF-1α knockdown reduces inflammation caused by PSCV infection in MH-S and THP-1 cells and lowers elevated levels of CTGF, COLA1, and α-SMA in MRC-5 cells exposed to CPMSCV. Furthermore, apigetrin, a glycoside bioactive dietary flavonoid derived from several plants, including Crataegus pinnatifida, which is reported to be a HIF-1α inhibitor, was tested in this in vitro model. Apigetrin significantly reduced the increased inflammatory cytokine (IL-6, IL-1β, and TNF-α) expression and secretion by PSCV in MH-S and THP-1 cells. Apigetrin inhibited the binding of the SARS-CoV-2 spike protein RBD to the ACE2 protein. An in vitro model of PF induced by SARS-CoV-2 was produced using a conditioned medium of THP-1 and MH-S cells that were PSCV-infected (CMPSCV) into MRC-5 cells. In a PF model, CMPSCV treatment of THP-1 and MH-S cells increased cell growth, migration, and collagen synthesis in MRC-5 cells. In contrast, apigetrin suppressed the increase in cell growth, migration, and collagen synthesis induced by CMPSCV in THP-1 and MH-S MRC-5 cells. Also, compared to control, fibrosis-related proteins (CTGF, COLA1, α-SMA, and HIF-1α) levels were over two-fold higher in CMPSV-treated MRC-5 cells. Apigetrin decreased protein levels in CMPSCV-treated MRC-5 cells. Thus, our data suggest that hypoxia-inducible factor-1 alpha (HIF-1α) might be a novel target for SARS-CoV-2 sequela therapies and apigetrin, representative of HIF-1alpha inhibitor, exerts anti-inflammatory and PF effects in PSCV-treated MH-S, THP-1, and CMPVSC-treated MRC-5 cells. These findings indicate that HIF-1α inhibition and apigetrin would have a potential value in controlling SARS-CoV-2-related diseases.
Preliminary study of luminescence phenomena from various materials under ultra-high dose rate proton beam irradiation for dose management
Authors: Yamada Ryosaku , Nishio Teiji , Kinkawa Daiki , Tanaka Taketo , Omura Mizuki , Tabata Yoji , Yoshimura Hitoshi , Kataoka Jun 
Published: June 2024

AbstractThis research aimed to identify materials capable of emitting visible light useful for dose management at ultra-high dose rate (uHDR). Various materials were irradiated with proton beams at a normal dose rate (NDR) and uHDR, and the resulting surface luminescence was captured using a high-sensitivity camera. The luminescence images were compared with the corresponding dose distributions. The luminescence of Tough Water Phantoms (Kyoto Kagaku Co. Ltd.) with various thicknesses was also observed to evaluate the depth distributions. Dose distributions were measured using two-dimensional ionization chamber detector arrays. The Tough Bone Phantom (Kyoto Kagaku Co. Ltd.) exhibited the strongest luminescence among the materials, followed by the Tough Water Phantom. The metals exhibited relatively weak luminescence. The luminescence profiles of the Tough Water Phantom, water, the Tough Lung Phantom (Kyoto Kagaku Co. Ltd.), and an acrylic were similar to the dose profiles. The luminescence distribution of the Tough Water Phantom in the depth direction was similar to that of the dose distributions. The luminescence at uHDR and NDR were approximately equivalent. The Tough Water Phantom was found to be a suitable material for dosimetry, even at uHDR. More detailed measurement data, such as wavelength data, must be collected to elucidate the luminescence mechanism.
Nicotiana benthamiana-derived dupilumab-scFv reaches deep into the cultured human nasal epithelial cells and inhibits CCL26 expression
Authors: Kwon Beom Jun , Cho Na Hyun , Ahn Taeyoung , Kim Geunah , Diệu Nguyễn Thị Xuân , Kim Woo Taek , Cho Hyung-Ju , Seo Dong Hye , Kim Joo Young 
Published: June 2024

AbstractPlants offer a cost-effective and scalable pharmaceutical platform devoid of host-derived contamination risks. However, their medical application is complicated by the potential for acute allergic reactions to external proteins. Developing plant-based protein therapeutics for localized diseases with non-invasive treatment modalities may capitalize on the benefits of plant proteins while avoiding their inherent risks. Dupilumab, which is effective against a variety of allergic and autoimmune diseases but has systemic responses and injection-related side effects, may be more beneficial if delivered locally using a small biological form. In this study, we engineered a single-chain variable fragment (scFv) of dupilumab, termed Dup-scFv produced by Nicotiana benthamiana, and evaluated its tissue permeability and anti-inflammatory efficacy in air–liquid interface cultured human nasal epithelial cells (HNECs). Despite showing 3.67- and 17-fold lower binding affinity for IL-4Ra in surface plasmon resonance assays and cell binding assays, respectively, Dup-scFv retained most of the affinity of dupilumab, which was originally high, with a dissociation constant (KD) of 4.76 pM. In HNECs cultured at the air–liquid interface, Dup-scFv administered on the air side inhibited the inflammatory marker CCL26 in hard-to-reach basal cells more effectively than dupilumab. In addition, Dup-scFv had an overall permeability of 0.8% across cell layers compared to undetectable levels of dupilumab. These findings suggest that plant-produced Dup-scFv can be delivered non-invasively to cultured HNESc to alleviate inflammatory signaling, providing a practical approach to utilize plant-based proteins for topical therapeutic applications.
Numerical computation and experimental assessment of a pressure-retaining gas-tight sediment sampler
Authors: He Shudong , Xie Yangbin , Bai Haocen , Peng Youduo , Jin Yongping 
Published: June 2024

AbstractThe pressure of the recovered sample is intricately connected to seawater temperature, the recovery velocity, and the pressure of the pre-charged gas. To better understand the sample pressure dynamics during the sampling recovery process, we focus on a gas-tight sediment sampler, delving into its pressure-compensation and pressure-retaining mechanisms. A comprehensive thermal and thermodynamic analysis is conducted throughout the entire pressure-retaining sampling process, examining the temporal variations in the temperatures of seawater and nitrogen within the sampler at various descending velocities. The heat transfer and thermodynamics are examined throughout the entire pressure-retaining sampling process to determine how changes in the temperatures of seawater and nitrogen, as well as the descent velocity, affect the pressure-retaining performance. The influence of pre-charging pressure and recovery velocities on the pressure-retaining performance of the sampler is examined. Then the proposed numerical model was well verified by the ultra-high-pressure vessel experiments of the sampler under 115 MPa. Finally, the sea trial results further verified the accuracy of the numerical model.
Attitudes toward colorectal cancer and colonoscopy in Palestine: a questionnaire-based study
Authors: Elshami Mohamedraed , Ayyad Mohammed , Alser Mohammed , Al-Slaibi Ibrahim , Mohamad Balqees M. , Albandak Maram , Dwikat Mohammad F. , Naji Shoruq A. , Isleem Wejdan S. , Shurrab Adela , Yaghi Bashar , Qabaja Yahya Ayyash , Hamdan Fatma K. , Sweity Raneen R. , Jneed Remah T. , Assaf Khayria A. , Hmaid Mohammed M. , Awwad Iyas I. , Alhabil Belal K. , Alarda Marah N. , Alsattari Amani S. , Aboyousef Moumen S. , Aljbour Omar A. , AlSharif Rinad , Giacaman Christy T. , Alnaga Ali Y. , Abu Nemer Ranin M. , Almadhoun Nada M. , Skaik Sondos M. , Albarqi Shurouq I. , Bottcher Bettina , Abu-El-Noor Nasser 
Published: June 2024

AbstractColorectal cancer (CRC) is a frequent cause of cancer-related mortality in the Palestinian population. This cross-sectional study was conducted from July 2019 to March 2020 and examined attitudes toward CRC and colonoscopy, as well as the interplay between both. Participants were recruited using convenience sampling from public spaces, governmental hospitals, and primary healthcare centers across 11 governorates in Palestine. Displaying a positive attitude was defined as agreeing on at least the median number of questions related to CRC (5 of 11 questions) or colonoscopy (6 of 10 questions). A total of 4623 participants were included. Most participants agreed that ‘early detection of CRC increases the possibility of more effective treatment’ (n = 4161, 89.7%). Similarly, the majority of participants agreed on ‘preferring a physician with a gender similar to the participants to perform the colonoscopy’ (n = 3738, 80.9%) and ‘willingness to have colonoscopy even if the participant had to pay for it’ (n = 3727, 80.6%). Furthermore, 3115 participants (67.4%) demonstrated positive attitudes toward CRC, while 2540 participants (55.0%) displayed similar attitudes toward colonoscopy. Participants from the West Bank and Jerusalem were more likely than those from the Gaza Strip to display positive attitudes toward colonoscopy (59.2% vs. 48.9%). Participants with positive attitudes toward CRC were more likely to also display positive attitudes toward colonoscopy and vice versa. About two thirds of study participants exhibited positive attitudes toward CRC, and 55.0% displayed positive attitudes toward colonoscopy. There was a reciprocal relationship between having positive attitudes toward CRC and colonoscopy.
Evaluating the diagnostic accuracy of QIAreach QuantiFERON-TB compared to QuantiFERON-TB Gold Plus for tuberculosis: a systematic review and meta-analysis
Authors: Mahmoudi Shima , Nourazar Sadra 
Published: June 2024

AbstractAccurate tuberculosis (TB) diagnosis remains challenging, especially in resource-limited settings. This study aims to assess the diagnostic performance of the QIAreach QuantiFERON-TB (QFT) assay, with a specific focus on comparing its diagnostic performance with the QuantiFERON-TB Gold Plus (QFT-Plus). We systematically reviewed relevant individual studies on PubMed, Scopus, and Web of Science up to January 20, 2024. The focus was on evaluating the diagnostic parameters of the QIAreach QFT assay for TB infection, which included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and concordance with the QFT-Plus assay. QIAreach QFT demonstrated strong diagnostic performance with a pooled sensitivity of 99% (95% CI 95–100%) and specificity of 94% (95% CI 85–97%). Additionally, it showed a PLR of 15.6 (95% CI 6.5–37.5) and NLR of 0.01 (95% CI 0–0.03). The pooled PPV and NPV were 88% (95% CI 70–98%) and 100% (95% CI 99–100%), respectively. Concordance analysis with QFT-Plus revealed a pooled positive percent agreement of 98% (95% CI 88–100%) and pooled negative percent agreement of 91% (95% CI 81–97%), with a pooled overall percent agreement of 92% (95% CI 83–98). In conclusion, QIAreach QFT has shown promising diagnostic performance, with a strong concordance with QFT-Plus. However, further studies are needed to comprehensively evaluate its diagnostic performance in the context of TB infection.
Ligand substitution as a strategy to tailor cationic conductivity in all-solid-state batteries
Authors: Kristensen Lasse Gammelgaard , Grinderslev Jakob Bæk , Amdisen Mads Blichfeldt , Jensen Torben René 
Published: June 2024

AbstractAn increased electrification of society calls for a revolution of battery technologies to further improve energy densities, safety and reduce dependencies on critical raw materials. Here we present a new type of fast magnesium electrolytes for all solid-state batteries created as solid solutions of two other fast Mg2+ ionic conductors, Mg(BH4)2 ∙ NH3 and Mg(BH4)2 ∙ CH3NH2. However, the different ligands introduce stacking faults in the structures of the solid solutions, which are eliminated upon heating to T > 40 °C. The stacking faults appear to influence ionic conductivity, as the samples are less conductive after heating. Interestingly, the ionic conductivity does not correlate directly with the relative ligand content, as the highest conductivity is observed for the 1:1 molar composition (σ(Mg2+) = 7.3 ∙ 10−6 S cm−1 at 40 °C), which also has the lowest melting point of 60 °C. Thus, this work demonstrates a new approach to increase cationic conductivity using mixed ligand systems to alter conduction pathways and introduce microstructural strain.
Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker
Authors: Vabalas Andrius , Hartonen Tuomo , Vartiainen Pekka , Jukarainen Sakari , Viippola Essi , Rodosthenous Rodosthenis S. , Liu Aoxing , Hägg Sara , Perola Markus , Ganna Andrea 
Published: June 2024

AbstractShort-term mortality risk, which is indicative of individual frailty, serves as a marker for aging. Previous age clocks focused on predicting either chronological age or longer-term mortality. Aging clocks predicting short-term mortality are lacking and their algorithmic fairness remains unexamined. We developed a deep learning model to predict 1-year mortality using nationwide longitudinal data from the Finnish population (FinRegistry; n = 5.4 million), incorporating more than 8,000 features spanning up to 50 years. We achieved an area under the curve (AUC) of 0.944, outperforming a baseline model that included only age and sex (AUC = 0.897). The model generalized well to different causes of death (AUC > 0.800 for 45 of 50 causes), including coronavirus disease 2019, which was absent in the training data. Performance varied among demographics, with young females exhibiting the best and older males the worst results. Extensive prediction fairness analyses highlighted disparities among disadvantaged groups, posing challenges to equitable integration into public health interventions. Our model accurately identified short-term mortality risk, potentially serving as a population-wide aging marker.
Smart insect-computer hybrid robots empowered with enhanced obstacle avoidance capabilities using onboard monocular camera
Authors: Li Rui , Lin Qifeng , Tran-Ngoc Phuoc Thanh , Le Duc Long , Sato Hirotaka 
Published: June 2024

AbstractInsect-computer hybrid robots are receiving increasing attention as a potential alternative to small artificial robots due to their superior locomotion capabilities and low manufacturing costs. Controlling insect-computer hybrid robots to travel through terrain littered with complex obstacles of various shapes and sizes is still challenging. While insects can inherently deal with certain obstacles by using their antennae to detect and avoid obstacles, this ability is limited and can be interfered with by control signals when performing navigation tasks, ultimately leading to the robot being trapped in a specific place and having difficulty escaping. Hybrid robots need to add additional sensors to provide accurate perception and early warning of the external environment to avoid obstacles before getting trapped, ensuring smooth navigation tasks in rough terrain. However, due to insects’ tiny size and limited load capacity, hybrid robots are very limited in the sensors they can carry. A monocular camera is suitable for insect-computer hybrid robots because of its small size, low power consumption, and robust information acquisition capabilities. This paper proposes a navigation algorithm with an integrated obstacle avoidance module using a monocular camera for the insect-computer hybrid robot. The monocular cameras equipped with a monocular depth estimation algorithm based on deep learning can produce depth maps of environmental obstacles. The navigation algorithm generates control commands that can drive the hybrid robot away from obstacles according to the distribution of obstacle distances in the depth map. To ensure the performance of the monocular depth estimation model when applied to insect-computer hybrid robotics scenarios, we collected the first dataset from the viewpoint of a small robot for model training. In addition, we propose a simple but effective depth map processing method to obtain obstacle avoidance commands based on the weighted sum method. The success rate of the navigation experiment is significantly improved from 6.7% to 73.3%. Experimental results show that our navigation algorithm can detect obstacles in advance and guide the hybrid robots to avoid them before they get trapped.
Unveiling the critical roles of cellular metabolism suppression in antibiotic tolerance
Authors: Mohiuddin Sayed Golam , Ngo Han , Orman Mehmet A. 
Published: June 2024

AbstractMetabolic inhibitors are known to exhibit complex interactions with antibiotics in bacteria, potentially acting as antagonists by inducing cell dormancy and promoting cell survival. However, the specific synergistic or antagonistic effects of these inhibitors depend on factors like their mechanisms of action, concentrations, and treatment timings, which require further investigation. In our study, we systematically explored the synergistic interactions of various metabolic inhibitors—such as chloramphenicol (a translation inhibitor), rifampicin (a transcription inhibitor), arsenate (an ATP production inhibitor), and thioridazine (a PMF inhibitor)—in combination with ofloxacin. We conducted this investigation under pre-, co-, and post-treatment conditions, employing a wide concentration range and utilizing four distinct synergy models. Chloramphenicol, rifampicin, and arsenate consistently showed minimal synergy scores, indicating a notable antagonistic relationship with ofloxacin across all models and conditions. In contrast, thioridazine consistently demonstrated elevated synergy scores, especially in pre- and co-treatment scenarios, albeit its synergy decreased during post-treatment conditions. When multivariable linear regression analyses were used for all drugs and conditions examined, a correlation between the synergy of thioridazine and its ability to suppress cellular energy metabolism became evident, underscoring the potential utility of certain metabolic inhibitors as effective anti-persistence adjuvants.