bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineered (NH2)-MIL-125(Ti)/copolymer@MnFe2O4 nanocomposite for synergistic eradication of cancer cells via DOX/pCRISPR delivery
Authors: Safarkhani Moein , Ojaghi Amirhossein , Nezhad Shefa Mirani , Daneshgar Hossein , Paiva-Santos Ana Cláudia , Radmanesh Fatemeh , Bagherzadeh Mojtaba , Zare Ehsan Nazarzadeh , Rabiee Navid , Makvandi Pooyan 
Published: January 2024

AbstractThe present study proposed an innovative nanocomposite aimed at enhancing gene and drug delivery for cancer treatment. The nanocomposite was composed of amine-functionalized metal–organic frameworks, (NH2)-MIL-125(Ti), conjugated to poly(aniline-co-para-phenylenediamine), and coated on manganese ferrite nanoparticles that were utilized to co-deliver the chemotherapy drug doxorubicin (DOX) and plasmid CRISPR (pCRISPR) to cancer cells. The investigation focused on whether surface modification with amine groups could improve cellular uptake and transfection efficiency. In addition, the study also utilized an engineered cell-imprinted substrate to mimic the cellular environment and enhance the delivery and expression of edited genes. The results demonstrated the proposed nanocarriers successfully co-delivered DOX and pCRISPR, indicating their potential for combination cancer therapy. Specific highlights include (1) reliable platform for multi-drug delivery based on the (NH2)-MIL-125(Ti)/poly(aniline-co-para-phenylenediamine)/MnFe2O4 nanocomposite structure; (2) hemocompatibility analysis revealed less than 1% hemolysis, pointing to biosafety; (3) amine surface modification enhanced cellular uptake up to 38.3% in A549 cells, improving transfection; (4) the cell-imprinted substrate enhanced therapeutic efficacy by promoting delivery and expression in a physiologically relevant microenvironment. Overall, this study makes significant contributions to gene delivery and expression for cancer therapy. The engineered nanocomposite, amine surface modification, and cell-mimetic substrate employ innovative strategies to augment the efficacy of combination gene and drug therapy against cancer.
Graphical Abstract
Sub‐Diurnal Methane Variations on Mars Driven by Barometric Pumping and Planetary Boundary Layer Evolution
Authors: Ortiz J. P. , Rajaram H. , Stauffer P. H. , Lewis K. W. , Wiens R. C. , Harp D. R. 
Published: January 2024

AbstractIn recent years, the Tunable Laser Spectrometer within the Sample Analysis at Mars (TLS‐SAM) instrument on board the Mars Science Laboratory (MSL) Curiosity rover has detected methane variations in the atmosphere at Gale crater. Methane concentrations appear to fluctuate seasonally as well as sub‐diurnally, which is difficult to reconcile with an as‐yet‐unknown transport mechanism delivering the gas from underground to the atmosphere. To potentially explain the fluctuations, we consider barometrically induced transport of methane from an underground source to the surface, modulated by temperature‐dependent adsorption. The subsurface fractured‐rock seepage model is coupled to a simplified 1‐D atmospheric mixing model to provide insights on the pattern of atmospheric methane concentrations in response to transient surface methane emissions, as well as to predict sub‐diurnal variation in methane abundance for the northern summer period, which is a candidate time frame for a MSL Curiosity sampling campaign. Our analysis suggests that there is a lower limit to the subsurface fracture density that can produce the observed methane patterns, below which the atmospheric methane variations would be out of phase with the observations. The best‐performing model scenarios indicate a significant, short‐lived methane pulse just prior to sunrise, the detection of which by TLS‐SAM would be a potential indicator of the contribution of barometric pumping to Mars' atmospheric methane variations.
Twisted fiber microfluidics: a cutting-edge approach to 3D spiral devices
Authors: Kato Shunsuke , Carlson Daniel W. , Shen Amy Q. , Guo Yuanyuan 
Published: January 2024

AbstractThe development of 3D spiral microfluidics has opened new avenues for leveraging inertial focusing to analyze small fluid volumes, thereby advancing research across chemical, physical, and biological disciplines. While traditional straight microchannels rely solely on inertial lift forces, the novel spiral geometry generates Dean drag forces, eliminating the necessity for external fields in fluid manipulation. Nevertheless, fabricating 3D spiral microfluidics remains a labor-intensive and costly endeavor, hindering its widespread adoption. Moreover, conventional lithographic methods primarily yield 2D planar devices, thereby limiting the selection of materials and geometrical configurations. To address these challenges, this work introduces a streamlined fabrication method for 3D spiral microfluidic devices, employing rotational force within a miniaturized thermal drawing process, termed as mini-rTDP. This innovation allows for rapid prototyping of twisted fiber-based microfluidics featuring versatility in material selection and heightened geometric intricacy. To validate the performance of these devices, we combined computational modeling with microtomographic particle image velocimetry (μTPIV) to comprehensively characterize the 3D flow dynamics. Our results corroborate the presence of a steady secondary flow, underscoring the effectiveness of our approach. Our 3D spiral microfluidics platform paves the way for exploring intricate microflow dynamics, with promising applications in areas such as drug delivery, diagnostics, and lab-on-a-chip systems.
Mirrorless MEMS imaging: a nonlinear vibrational approach utilizing aerosol-jetted PZT-actuated fiber MEMS scanner for microscale illumination
Authors: Wang Wei-Chih , Li Ming-Yao , Peng Kuan-Chang , Hsu Yi-Feng , Estroff Benjamin , Yen Pao-Yun , Schipf David , Wu Wen-Jong 
Published: January 2024

AbstractThis study introduces a novel image capture and lighting techniques using a cutting-edge hybrid MEMS scanner system designed for compact microscopic imaging. The scanner comprises a tapered optical fiber waveguide and innovative aerosol-jet printed PZT (lead zirconate titanate) bimorph push-pull actuators on a stainless-steel substrate, effectively addressing issues that are commonly associated with PZT on silicon substrates such as fracture and layer separation. By leveraging nonlinear vibration, the scanner achieves a spiral scan pattern from a single signal input, in addition to the expected two-dimensional scanning and target illumination from two phase-shifted inputs. This capability is further enhanced by a novel process to taper the optical fiber, which reduces illumination scattering and tunes the fiber to the resonant frequencies of the scanner. The precisely tapered tip enables large fields of view while maintaining independent 2-axis scanning through one-degree-of-freedom actuation. Experimental validation showcases the successful generation of a spiral scan pattern with a 60 μm diameter scan area and a 10 Hz frame rate, effectively reconstructing scanned images of 5 μm lines, cross patterns (15 μm in length with a 5 μm gap), and structures of a Psychodidae wing.
Thermoregulation for very preterm infants in the delivery room: a narrative review
Authors: Dunne Emma A. , O’Donnell Colm P. F. , Nakstad Britt , McCarthy Lisa K. ,   on behalf of the European Society for Paediatric Research (ESPR) Neonatal Resuscitation Section Writing Group
Published: January 2024

Abstract
Abnormal temperature in preterm infants is associated with increased morbidity and mortality. Infants born prematurely are at risk of abnormal temperature immediately after birth in the delivery room (DR). The World Health Organization (WHO) recommends that the temperature of newly born infants is maintained between 36.5–37.5oC after birth. When caring for very preterm infants, the International Liaison Committee on Resuscitation (ILCOR) recommends using a combination of interventions to prevent heat loss. While hypothermia remains prevalent, efforts to prevent it have increased the incidence of hyperthermia, which may also be harmful. Delayed cord clamping (DCC) for preterm infants has been recommended by ILCOR since 2015. Little is known about the effect of timing of DCC on temperature, nor have there been specific recommendations for thermal care before DCC. This review article focuses on the current evidence and recommendations for thermal care in the DR, and considers thermoregulation in the context of emerging interventions and future research directions.

Impact

Abnormal temperature is common amongst very preterm infants after birth, and is an independent risk factor for mortality.

The current guidelines recommend a combination of interventions to prevent heat loss after birth. Despite this, abnormal temperature is still a problem, across all climates and economies.

New and emerging delivery room practice (i.e., delayed cord clamping, mobile resuscitation trolleys, early skin to skin care) may have an effect on infant temperature. This article reviews the current evidence and recommendations, and considers future research directions.
Multivariate patterns of brain functional connectome associated with COVID-19-related negative affect symptoms
Authors: Pan Nanfang , Wang Song , Lan Huan , Zhang Xun , Qin Kun , Kemp Graham J. , Suo Xueling , Gong Qiyong 
Published: January 2024

AbstractSevere mental health problems with the representation of negative affect symptoms (NAS) have been increasingly reported during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to explore the multivariate patterns of brain functional connectome predicting COVID-19-related NAS. This cohort study encompassed a group of university students to undergo neuroimaging scans before the pandemic, and we re-contacted participants for 1-year follow-up COVID-related NAS evaluations during the pandemic. Regularized canonical correlation analysis was used to identify connectome-based dimensions of NAS to compute pairs of canonical variates. The predictive ability of identified functional connectome to NAS dimensional scores was examined with a nested cross-validation. Two dimensions (i.e.mode stressandmode anxiety) were related to distinct patterns of brain functional connectome (r2 = 0.911,PFDR = 0.048;r2 = 0.901,PFDR = 0.037, respectively).Mode anxietywas characterized by high loadings in connectivity between affective network (AFN) and visual network (VN), while connectivity of the default mode network with dorsal attention network (DAN) were remarkably prominent inmode stress. Connectivity patterns within the DAN and between DAN and VN, ventral attention network, and AFN was common for both dimensions. The identified functional connectome can reliably predictmode stress(r = 0.37, MAE = 5.1,p < 0.001) andmode anxiety(r = 0.28, MAE = 5.4,p = 0.005) in the cross-validation. Our findings provide new insight into multivariate dimensions of COVID-related NAS, which may have implications for developing network-based biomarkers in psychological interventions for vulnerable individuals in the pandemic.
Altered dynamic functional and effective connectivity in drug-naive children with Tourette syndrome
Authors: Luo Lekai , Liao Yi , Jia Fenglin , Ning Gang , Liu Jing , Li Xuesheng , Chen Xijian , Ma Xinmao , He Xuejia , Fu Chuan , Cai Xiaotang , Qu Haibo 
Published: January 2024

AbstractTourette syndrome (TS) is a developmental neuropsychiatric disorder characterized by repetitive, stereotyped, involuntary tics, the neurological basis of which remains unclear. Although traditional resting-state MRI (rfMRI) studies have identified abnormal static functional connectivity (FC) in patients with TS, dynamic FC (dFC) remains relatively unexplored. The rfMRI data of 54 children with TS and 46 typically developing children (TDC) were analyzed using group independent component analysis to obtain independent components (ICs), and a sliding-window approach to generate dFC matrices. All dFC matrices were clustered into two reoccurring states, the state transition metrics were obtained. We conducted Granger causality and nodal topological analyses to further investigate the brain regions that may play the most important roles in driving whole-brain switching between different states. We found that children with TS spent more time in state 2 (PFDR < 0.001), a state characterized by strong connectivity between ICs, and switched more quickly between states (PFDR = 0.025) than TDC. The default mode network (DMN) may play an important role in abnormal state transitions because the FC that changed the most between the two states was between the DMN and other networks. Additionally, the DMN had increased degree centrality, efficiency and altered causal influence on other networks. Certain alterations related to executive function (r = –0.309, P < 0.05) and tic symptom ratings (r = 0.282; 0.413, P < 0.05) may represent important aspects of the pathophysiology of TS. These findings facilitate our understanding of the neural basis for the clinical presentation of TS.
Activating p53 abolishes self-renewal of quiescent leukaemic stem cells in residual CML disease
Authors: Scott Mary T. , Liu Wei , Mitchell Rebecca , Clarke Cassie J. , Kinstrie Ross , Warren Felix , Almasoudi Hassan , Stevens Thomas , Dunn Karen , Pritchard John , Drotar Mark E. , Michie Alison M. , Jørgensen Heather G. , Higgins Brian , Copland Mhairi , Vetrie David 
Published: January 2024

AbstractWhilst it is recognised that targeting self-renewal is an effective way to functionally impair the quiescent leukaemic stem cells (LSC) that persist as residual disease in chronic myeloid leukaemia (CML), developing therapeutic strategies to achieve this have proved challenging. We demonstrate that the regulatory programmes of quiescent LSC in chronic phase CML are similar to that of embryonic stem cells, pointing to a role for wild type p53 in LSC self-renewal. In support of this, increasing p53 activity in primitive CML cells using an MDM2 inhibitor in combination with a tyrosine kinase inhibitor resulted in reduced CFC outputs and engraftment potential, followed by loss of multilineage priming potential and LSC exhaustion when combination treatment was discontinued. Our work provides evidence that targeting LSC self-renewal is exploitable in the clinic to irreversibly impair quiescent LSC function in CML residual disease – with the potential to enable more CML patients to discontinue therapy and remain in therapy-free remission.
Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making
Authors: Gupta Diksha , DePasquale Brian , Kopec Charles D. , Brody Carlos D. 
Published: January 2024

AbstractTrial history biases and lapses are two of the most common suboptimalities observed during perceptual decision-making. These suboptimalities are routinely assumed to arise from distinct processes. However, previous work has suggested that they covary in their prevalence and that their proposed neural substrates overlap. Here we demonstrate that during decision-making, history biases and apparent lapses can both arise from a common cognitive process that is optimal under mistaken beliefs that the world is changing i.e. nonstationary. This corresponds to an accumulation-to-bound model with history-dependent updates to the initial state of the accumulator. We test our model’s predictions about the relative prevalence of history biases and lapses, and show that they are robustly borne out in two distinct decision-making datasets of male rats, including data from a novel reaction time task. Our model improves the ability to precisely predict decision-making dynamics within and across trials, by positing a process through which agents can generate quasi-stochastic choices.
Proteomic screens of SEL1L-HRD1 ER-associated degradation substrates reveal its role in glycosylphosphatidylinositol-anchored protein biogenesis
Authors: Wei Xiaoqiong , Lu You , Lin Liangguang Leo , Zhang Chengxin , Chen Xinxin , Wang Siwen , Wu Shuangcheng Alivia , Li Zexin Jason , Quan Yujun , Sun Shengyi , Qi Ling 
Published: January 2024

AbstractEndoplasmic reticulum-associated degradation (ERAD) plays indispensable roles in many physiological processes; however, the nature of endogenous substrates remains largely elusive. Here we report a proteomics strategy based on the intrinsic property of the SEL1L-HRD1 ERAD complex to identify endogenous ERAD substrates both in vitro and in vivo. Following stringent filtering using a machine learning algorithm, over 100 high-confidence potential substrates are identified in human HEK293T and mouse brown adipose tissue, among which ~88% are cell type-specific. One of the top shared hits is the catalytic subunit of the glycosylphosphatidylinositol (GPI)-transamidase complex, PIGK. Indeed, SEL1L-HRD1 ERAD attenuates the biogenesis of GPI-anchored proteins by specifically targeting PIGK for proteasomal degradation. Lastly, several PIGK disease variants in inherited GPI deficiency disorders are also SEL1L-HRD1 ERAD substrates. This study provides a platform and resources for future effort to identify proteome-wide endogenous substrates in vivo, and implicates SEL1L-HRD1 ERAD in many cellular processes including the biogenesis of GPI-anchored proteins.
Surface-confined alternating copolymerization with molecular precision by stoichiometric control
Authors: Xing Lingbo , Li Jie , Bai Yuchen , Lin Yuxuan , Xiao Lianghong , Li Changlin , Zhao Dahui , Wang Yongfeng , Chen Qiwei , Liu Jing , Wu Kai 
Published: January 2024

AbstractKeen desires for artificial mimicry of biological polymers and property improvement of synthesized ones have triggered intensive explorations for sequence-controlled copolymerization. However, conventional synthesis faces great challenges to achieve this goal due to the strict requirements on reaction kinetics of comonomer pairs and tedious synthetic processes. Here, sequence-controlled alternating copolymerization with molecular precision is realized on surface. The stoichiometric control serves as a thermodynamic strategy to steer the polymerization selectivity, which enables the selective alternating organometallic copolymerization via intermolecular metalation of 4,4”-dibromo-p-terphenyl (P-Br) and 2,5-diethynyl-1,4-bis(phenylethynyl)benzene (A-H) with Ag adatoms on Ag(111) at P-Br: A-H = 2, as verified by scanning tunneling microscopy and density functional theory studies. In contrast, homopolymerization yield increases as the stoichiometric ratio deviates from 2. The microscopic characterizations rationalize the mechanism, providing a delicate explanation of the stoichiometry-dependent polymerization. These findings pave a way to actualizing an efficient sequence control of copolymerization by surface chemistry.
A dataset of global tropical cyclone wind and surface wave measurements from buoy and satellite platforms
Authors: Tamizi Ali , Young Ian R. 
Published: January 2024

AbstractThere are now a range of potential data sources for wind and surface wave conditions within tropical cyclones. These sources include: in situ buoy data and remote sensing data from satellite altimeters, scatterometers, and radiometers. In addition, data providing estimates of tropical cyclone tracks and wind field parameters are available from best track archives. The present dataset brings together this information in a single archive, providing the available data for each tropical cyclone from each of the data sources in a single file. The data consists of observations in a total of 2927 global tropical cyclones over the period from 1985 to 2017. Global statistics of the observations are provided, along with data on the geographic distribution of tropical cyclones within the database.
Developing an ontology of non-pharmacological treatment for emotional and mood disturbances in dementia
Authors: Zhang Zhenyu , Yu Ping , Yin Mengyang , Chang Hui Chen , Thomas Susan J. , Wei Wenxi , Song Ting , Deng Chao 
Published: January 2024

AbstractEmotional and mood disturbances are common in people with dementia. Non-pharmacological interventions are beneficial for managing these disturbances. However, effectively applying these interventions, particularly in the person-centred approach, is a complex and knowledge-intensive task. Healthcare professionals need the assistance of tools to obtain all relevant information that is often buried in a vast amount of clinical data to form a holistic understanding of the person for successfully applying non-pharmacological interventions. A machine-readable knowledge model, e.g., ontology, can codify the research evidence to underpin these tools. For the first time, this study aims to develop an ontology entitled Dementia-Related Emotional And Mood Disturbance Non-Pharmacological Treatment Ontology (DREAMDNPTO). DREAMDNPTO consists of 1258 unique classes (concepts) and 70 object properties that represent relationships between these classes. It meets the requirements and quality standards for biomedical ontology. As DREAMDNPTO provides a computerisable semantic representation of knowledge specific to non-pharmacological treatment for emotional and mood disturbances in dementia, it will facilitate the application of machine learning to this particular and important health domain of emotional and mood disturbance management for people with dementia.
GC–MS analysis, molecular docking, and pharmacokinetic studies of Multidentia crassa extracts’ compounds for analgesic and anti-inflammatory activities in dentistry
Authors: Chikowe Ibrahim , Bwaila King David , Ugbaja Samuel Chima , Abouzied Amr S. 
Published: January 2024

AbstractPlant extracts have been useful for oral health or dentistry. However, only a few evidence-based justifications exist. This study evaluated Multidentia crassa (Hiern) Bridson & Verdc, one of the oral health-used plants in Malawi. Gas chromatography-mass spectrometry (GC-MS) and Fourier transform infrared (FT-IR) identified the extracts’ compounds. The pharmacokinetics of the identified compounds were studied using pkCSM and SwissADME, and molecular docking studies were used to identify potential drug candidates for oral health by predicting the binding affinity of the compounds to cyclooxygenases, interleukin-1 beta receptors, odontoblast cold sensor proteins, and purinergic receptor P2X3. FT-IR analysis showed characteristic peaks of phenols, carboxylic acids, alkenes, alkyl halides, amines, esters, ethers, aromatics, and lipids. GC–MS results showed the presence of 58 bioactive phytocompounds, some of which have various pharmacological activities relevant to oral health. Molecular docking further validated stigmastan-3,5-diene’s potency for analgesic and anti-inflammatory purposes. Based on a literature review, this is the first report on the bioactive compounds of M. crassa extracts showing analgesic and anti-inflammatory effects. This study's results can lead to new herbal and conventional medicines. Therefore, we recommend in vivo and in vitro studies to elucidate the pharmacological effects of the plant extracts.