bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do perception factors affect adaptation behaviours against air pollution among vulnerable occupation groups? evidence from chittagong and dehradun
Authors: Bajracharya Sugat B , Maharjan Amina , Singh Nidhi , Sanyal Nandini , Singh Vishal , Islam Sheikh Tawhidul 
Published: February 2024

Abstract
Air pollution is a key environmental issue affecting the urban population in the urban cities of Hindu Kush Himalaya (HKH) countries. It is particularly detrimental to marginalized occupation groups like street vendors, labourers and drivers who work outdoors for their livelihood. There are mitigation strategies to reduce the brunt of air pollution that work in the long run. However, these strategies will need time to implement and operationalize. Adaptation behaviours and measures, in this context, are urgently required and become vital to cope with the impacts of air pollution exposure especially for highly exposed informal workers who have very little means of avoiding it. Adaptation behaviour is very complex and depends on socioeconomic and psychological factors. In this paper, we assess the impact of psychological factors like perception and motivation on the adaptive behaviour of the informal workers using Protection Motivation Theory (PMT). Our findings from Dehradun show that concern behaviour towards air pollution was strongly affected by motivation and perception factors. Adaptive behaviour in the form of both concern behavior and the extent of use of additional protective measures is dependent on how the risks of air pollution and related adaptation measures are perceived by the workers. In addition to this, certain adaptation behaviours like changing or adjusting the daily normal behaviour to avoid air pollution exposure are not feasible as they have direct implications on daily wage earnings.
Airflow resistance analysis of wire screens used in waste heat recovery systems
Authors: Mahesh K , Jayaraman B 
Published: February 2024

Abstract
Wire screens are widely used in electronics, refrigeration, insect screens, food processing, filtration, oil refinery, agricultural, and other applications. For instance, these wire screens are used as heat exchange materials in regenerators due to higher surface area density. Heat transmission can typically be enhanced by increasing the surface area density of wire screens, however flow obstruction is a possibility. As a result, this wire screen analysis is necessary not only to estimate the heat transfer rate but also to assess the airflow obstruction. This extensive study investigates the role of wire screens in a wind tunnel on the different velocities of air moving through them in order to compute the pressure drop. Six wire screens were examined as part of this investigation, and the experimental results were utilised to derive the coefficients of second order polynomials (a,b, and c). Permeability and inertial factor were calculated using this second order polynomial and Forchheimer’s equations. Second-order polynomial equations were found to be the best fit for the permeability versus porosity ratio and the inertial factor versus porosity ratio.
The optimization of gold nanoparticles–horseradish peroxidase as peroxidase mimic using central composite design for the detection of hydrogen peroxide
Authors: Talapphet Natchanok , Huh Chang Soon 
Published: February 2024

Abstract
The oxidizing agent, hydrogen peroxide (H2O2), which is a part of reactive oxygen species (ROS) is well-known to contribute to oxidative stress-induced damage to biological molecules. An excess of free radicals can harm health and is associated with human diseases. Gold nanotechnology, a highly relevant nanomaterial, has been utilized as a new material in advanced sensor detection. In this study, colorimetric methods based on peroxidase enzymes were developed for measuring H2O2. The synthesized gold nanoparticles (AuNPs) showed a concentration of approximately 1.73 nM at a wavelength of 520 nm. The average diameter displayed a uniform size distribution, estimated at 18 nm, and an increase in the shell thickness of AuNPs-horseradish peroxidase (HRP) was observed in the TEM images. The AuNPs-HRP system demonstrated remarkable catalytic activity in the reaction of the chromogenic substrate tetramethylbenzidine (TMB) with H2O2, resulting in the production of an oxide product. The optimal conditions for the AuNPs-HRP system, as determined by central composite design (CCD), were a temperature of 25 °C and a pH of 7 within an 8 h period. A strong linear relationship was observed between different absorbance values and the H2O2 concentration, with a coefficient of determination of 0.9956. A portable platform was successfully used to determine H2O2 levels in beverages with recoveries ranging from 95.51% to 118.85%. These findings suggest that the AuNPs-HRP system could be applied to detect H2O2 in beverages.
ImmuneMirror: A machine learning-based integrative pipeline and web server for neoantigen prediction
Authors: Chuwdhury Gulam Sarwar , Guo Yunshan , Chiang Chi-Leung , Lam Ka-On , Kam Ngar-Woon , Liu Zhonghua , Dai Wei 
Published: February 2024

Abstract
Neoantigens are derived from somatic mutations in the tumors but are absent in normal tissues. Emerging evidence suggests that neoantigens can stimulate tumor-specific T-cell-mediated antitumor immune responses, and therefore are potential immunotherapeutic targets. We developed ImmuneMirror as a stand-alone open-source pipeline and a web server incorporating a balanced random forest model for neoantigen prediction and prioritization. The prediction model was trained and tested using known immunogenic neopeptides collected from 19 published studies. The area under the curve of our trained model was 0.87 based on the testing data. We applied ImmuneMirror to the whole-exome sequencing and RNA sequencing data obtained from gastrointestinal tract cancers including 805 tumors from colorectal cancer (CRC), esophageal squamous cell carcinoma (ESCC) and hepatocellular carcinoma patients. We discovered a subgroup of microsatellite instability-high (MSI-H) CRC patients with a low neoantigen load but a high tumor mutation burden (&gt; 10 mutations per Mbp). Although the efficacy of PD-1 blockade has been demonstrated in advanced MSI-H patients, almost half of such patients do not respond well. Our study identified a subset of MSI-H patients who may not benefit from this treatment with lower neoantigen load for major histocompatibility complex I (P &lt; 0.0001) and II (P = 0.0008) molecules, respectively. Additionally, the neopeptide YMCNSSCMGV-TP53G245V, derived from a hotspot mutation restricted by HLA-A02, was identified as a potential actionable target in ESCC. This is so far the largest study to comprehensively evaluate neoantigen prediction models using experimentally validated neopeptides. Our results demonstrate the reliability and effectiveness of ImmuneMirror for neoantigen prediction.
Enhancing protein dynamics analysis with hydrophilic polyethylene glycol cross-linkers
Authors: Sun Min , Chen Jing , Zhao Chang , Zhang Lihua , Liu Maili , Zhang Yukui , Zhao Qun , Gong Zhou 
Published: February 2024

Abstract
Cross-linkers play a critical role in capturing protein dynamics in chemical cross-linking mass spectrometry techniques. Various types of cross-linkers with different backbone features are widely used in the study of proteins. However, it is still not clear how the cross-linkers’ backbone affect their own structure and their interactions with proteins. In this study, we systematically characterized and compared methylene backbone and polyethylene glycol (PEG) backbone cross-linkers in terms of capturing protein structure and dynamics. The results indicate the cross-linker with PEG backbone have a better ability to capture the inter-domain dynamics of calmodulin, adenylate kinase, maltodextrin binding protein and dual-specificity protein phosphatase. We further conducted quantum chemical calculations and all-atom molecular dynamics simulations to analyze thermodynamic and kinetic properties of PEG backbone and methylene backbone cross-linkers. Solution nuclear magnetic resonance was employed to validate the interaction interface between proteins and cross-linkers. Our findings suggest that the polarity distribution of PEG backbone enhances the accessibility of the cross-linker to the protein surface, facilitating the capture of sites located in dynamic regions. By comprehensively benchmarking with disuccinimidyl suberate (DSS)/bis-sulfosuccinimidyl-suberate(BS3), bis-succinimidyl-(PEG)2 revealed superior advantages in protein dynamic conformation analysis in vitro and in vivo, enabling the capture of a greater number of cross-linking sites and better modeling of protein dynamics. Furthermore, our study provides valuable guidance for the development and application of PEG backbone cross-linkers.
PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network
Authors: Meng Jing , Liu Jingze , Song Wenkai , Li Honglei , Wang Jiangyuan , Zhang Le , Peng Yousong , Wu Aiping , Jiang Taijiao 
Published: February 2024

Abstract
Vaccination stands as the most effective and economical strategy for prevention and control of influenza. The primary target of neutralizing antibodies is the surface antigen hemagglutinin (HA). However, ongoing mutations in the HA sequence result in antigenic drift. The success of a vaccine is contingent on its antigenic congruence with circulating strains. Thus, predicting antigenic variants and deducing antigenic clusters of influenza viruses are pivotal for recommendation of vaccine strains. The antigenicity of influenza A viruses is determined by the interplay of amino acids in the HA1 sequence. In this study, we exploit the ability of convolutional neural networks (CNNs) to extract spatial feature representations in the convolutional layers, which can discern interactions between amino acid sites. We introduce PREDAC-CNN, a model designed to track antigenic evolution of seasonal influenza A viruses. Accessible at http://predac-cnn.cloudna.cn, PREDAC-CNN formulates a spatially oriented representation of the HA1 sequence, optimized for the convolutional framework. It effectively probes interactions among amino acid sites in the HA1 sequence. Also, PREDAC-CNN focuses exclusively on physicochemical attributes crucial for the antigenicity of influenza viruses, thereby eliminating unnecessary amino acid embeddings. Together, PREDAC-CNN is adept at capturing interactions of amino acid sites within the HA1 sequence and examining the collective impact of point mutations on antigenic variation. Through 5-fold cross-validation and retrospective testing, PREDAC-CNN has shown superior performance in predicting antigenic variants compared to its counterparts. Additionally, PREDAC-CNN has been instrumental in identifying predominant antigenic clusters for A/H3N2 (1968–2023) and A/H1N1 (1977–2023) viruses, significantly aiding in vaccine strain recommendation.
Prurigo nodularis: new insights into pathogenesis and novel therapeutics
Authors: Liao Viviane , Cornman Hannah L , Ma Emily , Kwatra Shawn G 
Published: February 2024

Lay Summary
Prurigo nodularis (PN) is a chronic skin condition featuring extremely itchy nodules on the skin of the legs, arms and trunk of the body. PN affects approximately 72 per 100 000 people and the severe itch associated with the condition can negatively impact a person’s sleep, work and social life. However, the cause of PN remains unclear.
Current understanding of PN is based on imbalances in the immune system leading to widespread inflammation as well as dysregulation of the nerves in the skin. Immune molecules released from T cells [such as interleukin (IL)-4, -13, -31, -17, -22 and -31] increase systemic inflammation and are elevated in people with PN. Activated inflammatory cells (such as mast cells or eosinophils) may also release factors that promote inflammation, itch and neural changes within the skin. Neural dysregulation in PN features a lower density of itch-sensing nerve fibres in the epidermis (upper layer of the skin) and a higher density of itch-sensing nerve fibres in the dermis (lower layer of the skin). Because the pathogenesis of PN is not fully understood, the therapies available for PN have had limited success in reducing itch and nodules.
The only drug currently approved for PN in the USA and Europe is dupilumab, an IL-4Rα inhibitor that blocks signalling through IL-4 and IL-13, which is undergoing post-marketing surveillance. Other new drugs are being assessed in various phases of clinical trials, including nemolizumab, vixarelimab, barzolvolimab, ruxolitinib, abrocitinib, povorcitinib and nalbuphine.
Histamine- and pruritogen-induced itch is inhibited by a TRPM8 agonist: a randomized vehicle-controlled human trial
Authors: Lee Soyeon , Wei Edward T , Selescu Tudor , Babes Alexandru , Park Jinseo , Kim Jincheol , Chung Boyoung , Park Chunwook , Kim Hye One 
Published: February 2024

Lay Summary
Managing itching and the effects of histamine can be difficult for people with allergies. Cooling the skin or applying menthol provides some relief from itch, but the way they work is not fully understood. Cooling agents interact with a protein called TRPM8 (also known as the ‘cold and menthol receptor’) and have shown potential for the management of itch. However, much of the research has been done on animals and has limitations when compared with human studies. Antihistamine medications can help with histamine-induced itching, but they may not work for other causes of itch.
This study investigated the effects of a specific TRPM8 agonist (a chemical that activates a receptor to produce a biologic response) gel called cryosim-1 on itch in human skin. To do this, we conducted tests on 30 healthy people using five different substances that cause itching. Participants rated the itch intensity and pain using a scale and we measured various aspects of their skin. The results showed that all substances caused significant itching compared to a control substance, but itchiness gradually decreased over time. Histamine and compound 48/80 also caused pain. However, when participants applied the TRPM8 activator gel before exposure, they experienced less itching and lower itch intensity versus the gel without the activator. There were no significant differences in pain between the TRPM8 activator and the gel without it.
In summary, our findings showed that activating TRPM8 receptors with a specific substance effectively relieved itching caused by various irritants on human skin. This suggests its potential as a treatment for itch-related conditions. Further research is needed to understand its mechanisms better and evaluate its effectiveness in real-life situations.
Mindfulness-Based Social Work and Self-Care with Social Work Professionals: Replication and Expansion of a Randomised Controlled Trial
Authors: Maddock Alan , McGuigan Karen , McCusker Pearse 
Published: February 2024

Abstract
Social workers are at high risk of work stress and burnout, with the Covid-19 reported to have amplified this risk. The Mindfulness-based Social Work and Self-Care programme (MBSWSC) has been found to support cognitive and emotion regulation of social workers, leading to improved stress, burnout, mental health, and well-being. This randomised controlled trial (RCT) aimed to replicate and expand the findings of an earlier RCT of MBSWSC, with a wider group of social work professionals (including managers), by evaluating the effects of MBSWSC (n = 29) versus an active control (n = 31). Replication of RCTs acts as an important means by which findings can be confirmed, results replicated, generalisability assessed and processes and applicability improved. When compared to an online active control group, MBSWSC (which was also delivered online) was found to improve stress, emotional exhaustion, depersonalisation of service users, anxiety, depression, well-being, along with a range of mindfulness mechanisms of action which support cognitive and emotion self-regulation. The results from this study evidence the acceptability, effectiveness and durability of MBSWSC, and provide clear guidance that if MBSWSC is implemented across social work services, social workers are likely to experience improvements in these critical social work practice and self-care outcomes.
Ultradian rhythms in accelerometric and autonomic data vary based on seizure occurrence in paediatric epilepsy patients
Authors: Vieluf Solveig , Cantley Sarah , Krishnan Vaishnav , Loddenkemper Tobias 
Published: February 2024

Abstract
Ultradian rhythms are physiological oscillations that resonate with period lengths shorter than 24 hours. This study examined the expression of ultradian rhythms in patients with epilepsy, a disease defined by an enduring seizure risk that may vary cyclically. Using a wearable device, we recorded heart rate, body temperature, electrodermal activity and limb accelerometry in patients admitted to the paediatric epilepsy monitoring unit. In our case–control design, we included recordings from 29 patients with tonic–clonic seizures and 29 non-seizing controls. We spectrally decomposed each signal to identify cycle lengths of interest and compared average spectral power- and period-related markers between groups. Additionally, we related seizure occurrence to the phase of ultradian rhythm in patients with recorded seizures. We observed prominent 2- and 4-hour-long ultradian rhythms of accelerometry, as well as 4-hour-long oscillations in heart rate. Patients with seizures displayed a higher peak power in the 2-hour accelerometry rhythm (U = 287, P = 0.038) and a period-lengthened 4-hour heart rate rhythm (U = 291.5, P = 0.037). Those that seized also displayed greater mean rhythmic electrodermal activity (U = 261; P = 0.013). Most seizures occurred during the falling-to-trough quarter phase of accelerometric rhythms (13 out of 27, χ2 = 8.41, P = 0.038). Fluctuations in seizure risk or the occurrence of seizures may interrelate with ultradian rhythms of movement and autonomic function. Longitudinal assessments of ultradian patterns in larger patient samples may enable us to understand how such rhythms may improve the temporal precision of seizure forecasting models.
Confined space of a nickel-triazole metal–organic framework responsible for high product selectivity and enantiospecific yield of lactic acid converted from sugar in a water-based system
Authors: Adpakpang Kanyaporn , Ponchai Panyapat , Pukdeejorhor Ladawan , Faungnawakij Kajornsak , Bureekaew Sareeya 
Published: February 2024

Abstract
Enantioselective production of lactic acid from xylose sugar in the constrained pore space of the Ni-triazole metal-organic framework (MOF) is demonstrated. A robust hydrophilic structure with a confined nano-pocket is constructed from the [Ni3(µ3-OH)(Tz)3(OH)2(H2O)4]n secondary building unit (SBU). At elevated temperature, the de-coordination of water and hydroxide species on the Ni node can generate accessible an open metal site (OMS) possessing Lewis acidicity, acting as catalytic center for the catalysis of xylose to lactic acid. Density functional theory (DFT) calculations suggests that an enantiospecific yield of lactic acid is realizable by a preferential interaction between any pair of SBUs and the interlocked trans-pyruvaldehyde intermediate. This work highlights the unique spatial and chemical environment of MOFs as an advantageous platform for specific processes in catalysis.
Asymmetrical cortical surface area decrease in epilepsy patients with postictal generalized electroencephalography suppression
Authors: Zhao Chenyang , Tang Yingying , Xiao Yuan , Jiang Ping , Zhang Ziyi , Gong Qiyong , Zhou Dong 
Published: February 2024

Abstract
Postictal generalized electroencephalographic suppression is a possible electroencephalographic marker for sudden unexpected death in epilepsy. We aimed to investigate the cortical surface area abnormalities in epilepsy patients with postictal generalized electroencephalographic suppression. We retrospectively included 30 epilepsy patients with postictal generalized electroencephalographic suppression (PGES+), 21 epilepsy patients without postictal generalized electroencephalographic suppression (PGES−), and 30 healthy controls. Surface-based analysis on high-resolution T1-weighted images was conducted and cortical surface areas were compared among the three groups, alongside correlation analyses with seizure-related clinical variables. Compared with PGES− group, we identified reduced surface area in the bilateral insula with more extensive distribution in the right hemisphere in PGES+ group. The reduced right insular surface area was associated with younger seizure-onset age. When compared with healthy controls, PGES− group presented reduced surface area in the left caudal middle frontal gyrus; PGES+ group presented more widespread surface area reductions in the right posterior cingulate gyrus, left postcentral gyrus, middle frontal gyrus, and middle temporal gyrus. Our results suggested cortical microstructural impairment in patients with postictal generalized electroencephalographic suppression. The significant surface area reductions in the insular cortex supported the autonomic network involvement in the pathology of postictal generalized electroencephalographic suppression, and its right-sided predominance suggested the potential shared abnormal brain network for postictal generalized electroencephalographic suppression and sudden unexpected death in epilepsy.
Brain activity supporting alternating speech for semantic words: simultaneous magnetoencephalographic recording
Authors: Anada Risa , Watanabe Hayato , Shimojo Atsushi , Shiraishi Hideaki , Yokosawa Koichi 
Published: February 2024

Abstract
Communication, especially conversation, is essential for human social life. Many previous studies have examined the neuroscientific underpinnings of conversation, i.e. language comprehension and speech production. However, conversation inherently involves two or more people, and unless two people actually interact with one another, the nature of the conversation cannot be truly revealed. Therefore, in this study, we used two magnetoencephalographs that were connected together, and simultaneously recorded brain activity while two people took turns speaking in a word association/alphabet completion task. We compared the amplitude modulation of the alpha- and beta-band rhythms within each of the 62 brain regions under semantic (word association; less predictable) and non-semantic (alphabet completion; more predictable) conditions. We found that the amplitudes of the rhythms were significantly different between conditions in a wide range of brain regions. Additionally, significant differences were observed in nearly the same group of brain regions after versus before each utterance, indicating that a wide range of brain areas is involved in predicting a conversation partner’s next utterance. This result supports the idea that mentalizing, e.g. predicting another person's speech, plays an important role in conversation, and suggests that the neural network implicated in mentalizing extends over a wide range of brain regions.