bluuebunny/crossref_metadata_2025_split huggingface dataset:
New insights into the responder/nonresponder divide in rectal cancer: Damage-induced Type I IFNs dictate treatment efficacy and can be targeted to enhance radiotherapy
Authors: Gerber Scott , Uccello Taylor , Lesch Maggie , Kintzel Sarah , Gradzewicz Lauren , Lamrous Lillia , Murphy Shawn , Fleming Fergal , Mills Bradley , Murphy Joseph , Hughson Angela , Garrett-Larsen Jesse , Qiu Haoming , Drage Michael , Ye Jian , Gavras Nicholas , Keeley David , Love Tanzy , Repasky Elizabeth , Lord Edith , Linehan David 
Published: April 2023

Abstract
Rectal cancer ranks as the second leading cause of cancer-related deaths. Neoadjuvant therapy for rectal cancer patients often results in individuals that respond well to therapy and those that respond poorly, requiring life-altering excision surgery. It is inadequately understood what dictates this responder/nonresponder divide. Our major aim is to identify what factors in the tumor microenvironment drive a fraction of rectal cancer patients to respond to radiotherapy. We also sought to distinguish potential biomarkers that would indicate a positive response to therapy and design combinatorial therapeutics to enhance radiotherapy efficacy. To address this, we developed an orthotopic murine model of rectal cancer treated with short course radiotherapy that recapitulates the bimodal response observed in the clinic. We utilized a robust combination of transcriptomics and protein analysis to identify differences between responding and nonresponding tumors. Our mouse model recapitulates human disease in which a fraction of tumors respond to radiotherapy (responders) while the majority are nonresponsive. We determined that responding tumors had increased damage-induced cell death, and a unique immune-activation signature associated with tumor-associated macrophages, cancer-associated fibroblasts, and CD8+ T cells. This signature was dependent on radiation-induced increases of Type I interferons (IFNs). We investigated a therapeutic approach targeting the cGAS/STING pathway and demonstrated improved response rate following radiotherapy. These results suggest that modulating the Type I IFN pathway has the potential to improve radiation therapy efficacy in RC.
Demonstration of cross reaction in hybrid graphene oxide/tantalum dioxide guided mode resonance sensor for selective volatile organic compound
Authors: TANTIWANICHAPAN KHWANCHAI , JOLIVOT ROMUALD , JOMPHOAK APICHAI , SRIS NANTARAT , CHANANONNAWATHORN CHANUNTHORN , LERTVANITHPOL TOSSAPORN , HORPRATHUM MATI , BOONRUANG SAKOOLKAN 
Published: April 2023

Abstract
This paper experimentally demonstrates a crossed reaction of pure and hybrid graphene oxide (GO)/tantalum dioxide (TaO2) as a volatile organic compound (VOC) absorber in a guided mode resonance (GMR) sensing platform. The proposed GMR platform has a porous TaO2 film as the main guiding layer, allowing for more molecular adsorption and enhanced sensitivity. GO is applied on top as an additional VOC absorber to increase the selectivity. The hybrid sensing mechanism is introduced by varying the concentration of the GO aqueous solution. The experimental results show that the pure TaO2-GMR has a high tendency to adsorb most of the tested VOC molecules, with the resonance wavelength shifting accordingly to the physical properties of the VOCs (molecular weight, vapor pressure, etc.). The largest signal appears in the large molecule such as toluene, and its sensitivity is gradually reduced in the hybrid sensors. At the optimum GO concentration of 3 mg/mL, the hybrid GO/TaO2 -GMR is more sensitive to methanol, while the pure GO sensor coated with GO at 5 mg/mL is highly selective to ammonia. The sensing mechanisms are verified using the distribution function theory (DFT) to simulate the molecular absorption, along with the measured functional groups measured on the sensor surface by the Fourier transform infrared spectroscopy (FTIR). The crossed reaction of these sensors is further analyzed by means of machine learning, specifically the principal component analysis (PCA) method and decision tree algorithm. The results show that this sensor is a promising candidate for quantitative and qualitative VOCs detection in sensor array platform.
Volatile chemical constituents of two species of bryophytes (Bryophyta) occurring in the Brazilian Amazon
Authors: Rezende-Moraes Eryka de Nazaré , Santos Rita de Cássia Pereira dos , Miranda Thyago Gonçalves , Alves Raynon Joel Monteiro , Andrade Eloisa Helena De Aguiar , Zoghbi Maria Das Graças Bichara , Costa Roberto Cezar Lobo da , Tavares-Martins Ana Cláudia Caldeira 
Published: April 2023

Abstract
Bryophytes are a group of plants that present a variety of chemical compounds, but information on the phytochemistry of the species, especially those in the Brazilian Amazon, is still scant. Thus, the objective of this work was to determine the volatile chemical constituents of the Amazonian moss species Sematophyllum subsimplex (Hedw). Mitt. and Leucobryum martianum (Hornsch.) Hampe ex Mull Hal. Samples were collected at the Gunma Ecological Park, in the municipality of Santa Bárbara, Pará, and subsequently dried, identified, screened, kept in a refrigerated place, and subjected to extraction by means of simultaneous distillation-extraction (SDE). Volatile concentrates were analyzed by gas chromatography/mass spectrometry (GC-MS). Forty-two chemical constituents were identified in the pentane extracts of the two species studied, mainly belonging to the group of aldehydes, terpenes, and carboxylic acids. Naphthalene was predominant in both species, mainly in L. martianum. Safrole, found in L. martianum, is being recorded for the first time in a moss. This study represents the first report of the chemical composition of the two selected taxa and the results indicate that these mosses are natural sources of compounds of interest for bioprospecting.
Chimeric antigen receptor T cells targeting cell surface GRP78 efficiently kill glioblastoma and cancer stem cells
Authors: WANG SHIJIE , Wei Wenwen , Yuan Yuncang , Sun Bin , Yang Dong , Liu Nan , Zhao Xudong 
Published: April 2023

Abstract
Background: Glioblastoma (GBM) is recognized as among the most aggressive forms of brain tumor. Patients typically present with a five-year survival rate of less than 6% with traditional surgery and chemoradiotherapy, which calls for novel immunotherapies like chimeric antigen receptor T (CAR-T) cells therapy. In response to endoplasmic reticulum (ER) stress in multiple tumor cells including GBM, the glucose-regulated protein 78 (GRP78) expression increases and the protein is partially translocated to the cell surface, while it is restricted to the cytoplasm and the nucleus in normal cells.
Methods: In this study, to target the cell surface GRP78 (csGRP78), CAR-T cells based on its binding peptide were generated. In vitrotwo GBM cell lines and glioma stem cells (GSCs) were used to confirm the localization of csGRP78 and the cytotoxicity of the CAR-T cells. In vivoa GBM xenograft model was used to assess the killing activity and the safety of the CAR-T cells.
Results: We confirmed the localization of csGRP78 at the cell surface of two GBM cell lines (U-251MG and U-87MG) and in GSCs. Co-culture experiments revealed that the CAR-T cells could specifically kill the GBM tumor cells and GSCs with specific IFN-γ release. Furthermore, in the tumor xenograft model, the CAR-T cells could decrease the number of GSCs and significantly suppress tumor cell growth. Importantly, we found no obvious off-target effects or T cell infiltration in major organs following systemic administration of these cells.
Conclusions: The csGRP78 targeted CAR-T cells efficiently kill GBM tumor cells and GSCs both in vitro and in vivo, and ultimately suppress the xenograft tumors growth without obvious tissue injuries. Therefore, our study demonstrates that csGRP78 represents a valuable target and the csGRP78-targeted CAR-T cells strategy is an effective immunotherapy against GBM.
Genome-wide analysis and expression profiling of Aspartyl tRNA-synthetase (AspRS) family genes reveal function of drought stress response in poplar
Authors: Feng Cong-Hua , Niu Meng-Xue , Zhao Shilei , Guo Shangjing , Yin Weilun , Xia Xinli , Su Yanyan 
Published: April 2023

Abstract
Background: Drought stress is a prevalent abiotic stress that significantly hinders the growth and development of plants. According to studies, β-aminobutyric acid (BABA) can influence the ABA pathway through the AtIBI1 receptor gene to enhance cold resistance inArabidopsis. However, the Aspartate tRNA-synthetase (AspRS) gene family, which acts as the receptor for BABA, has not yet been investigated in poplar. Particularly, it is uncertain how the AspRS gene family (PtrIBIs)r can resist drought stress after administering various concentrations of BABA to poplar.
Results: In this study, we have identified 12 AspRS family genes and noted that poplar acquired four PtrIBI pairs through whole genome duplication (WGD). We conducted cis-action element analysis and found a significant number of stress-related action elements on different PtrIBI genes promoters. The expression of most PtrIBI genes was up-regulated under beetle and mechanical damage stresses, indicating their potential role in responding to leaf damage stress. Our results suggest that a 50 mM BABA treatment can alleviate the damage caused by drought stress in plants. Additionally, via transcriptome sequencing, we observed that the partial up-regulation of BABA receptor genes, PtrIBI2/4/6/8/11, in poplars after drought treatment. We hypothesize that poplar responds to drought stress through the BABA-PtrIBIs-PtrVOZ coordinated ABA signaling pathway. Our research provides molecular evidence for understanding how plants respond to drought stress through external application of BABA.
Conclusions: In summary, our study conducted genome-wide analysis of the AspRS family of P. trichocarpa and identified 12 PtrIBI genes. We utilized genomics and bioinformatics to determine various characteristics of PtrIBIs such as chromosomal localization, evolutionary tree, gene structure, gene doubling, promoter cis-elements, and expression profiles. Our study found that certain PtrIBIgenes are regulated by drought, beetle, and mechanical damage implying their crucial role in enhancing poplar stress tolerance. Additionally, we observed that external application of low concentrations of BABA increased plant drought resistance under drought stress. Through the BABA-PtrIBIs-PtrVOZsignaling module, poplar plants were able to transduce ABA signaling and regulate their response to drought stress. These results suggest that the PtrIBIgenes in poplar have the potential to improve drought tolerance in plants through the topical application of low concentrations of BABA.
Surveillance of the Field-Incurred Pesticide Residues in Kinnow Mandarin and Evaluation of Acute, Chronic and Cumulative Exposure Risks to the Consumers
Authors: BIBI AASMA , RAFIQ NAZIA , KHALID SOFIA , AHAD KARAM , SAMAD ABDUL , MEHBOOB FARRAKH 
Published: April 2023

Abstract
Citrus fruits may serve as potential dietary exposure pathways to toxic levels of pesticides, with which they are treated. For possible protection of the consumers, pesticide residues in citrus fruits need strict and regular monitoring. This study aimed at investigating the pesticide residues status of the raw/fresh citrus fruits i.e. Kinnow Mandarin, along with evaluating exposure risks from the detected pesticides through Kinnow Mandarin consumption. Overall, 22.5% of the samples were non-complaint to the CAC-MRLs (Codex Alimentarius Commission’s established maximum residue limits) and 77.5% were exceeding the MRLs set by EU (European Union). Bifenthrin, with highest detection rate (53%), is a registered pyrethroid acaricide/insecticide for use on citrus fruits and is among the potential endocrine disrupting substances. The estimated acute/short-term (%aRfD) and chronic/long-term (%ADI) exposure values were in the range of 0.12–29.12% and 0.001–1.186%, respectively, not exceeding the hazard limit of 100% in any case. The cumulative toxicity evaluation performed for the detected neurotoxic pesticides belonging to pyrethroid, organophosphate and neonicotinoid group, indicated low potential long-term health risks from citrus fruits consumption. The results of the health risks’ estimations denote citrus fruits consumption a safer option for its consumers.
A Rare Case of Aggressive Histiocytic Sarcoma in a 9- years old male Child: Case report and Literature review
Authors: Arega Gashaw , Hailu Daniel , Nigusie Mulualeme , Fikad Getasew , Getachew Hanna , Kiflu Woubedel , Semere Yodit , Sisay Samuel , Zeray Abrehet , Asefa Mesfin , Dagmawi Fitsum , Tesfaye Kalkidan , Tadesse Abel , M.Seid Abdulkadir 
Published: April 2023

Abstract

Histiocytic Sarcoma(HS) is an extremely rare non-Langerhans neoplasm primarily composed of malignant cells with morphologically and immunohistochemically showing features of mature tissue histiocytes. It can affect any part of the body with unknown etiology and is an aggressive disease with a worse prognosis and management often requires multimodal treatment. Here, we report a 9 year old boy who was diagnosed with histiocytic sarcoma after he presented with left-side chest pain, dry cough, and significant weight loss of four months duration. Contrast-enhanced chest CT scan shows a heterogeneous contrast-enhancing solid extra parenchymal mass lesion that appears to be attached to the posteromedial basal pleura with adjacent lung subsegmental collapse and a minimal amount of ipsilateral pleural effusion. There was no evidence of systemic arterial supply. The patient underwent left posterolateral thoracotomy and mass excision. The biopsy and immunohistochemical examination confirmed the diagnosis of Histiocytic Sarcoma. The mass recurred after a month, and he started systemic chemotherapy with a CHOP regimen. Despite the multimodal treatment, he had a progressive disease with multiorgan involvement and was put on palliative care.
DeepASDPred: A CNN-LSTM-based deep learning method for Autism spectrum disorders risk RNA identification
Authors: Fan Yongxian , Xiong Hui , Sun Guicong 
Published: April 2023

Abstract
Background Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders characterized by difficulty communicating with society and others, behavioral difficulties, and a brain that processes information differently than normal. Genetics has a strong impact on ASD associated with early onset and distinctive signs. Currently, all known ASD risk genes are able to encode proteins, and some de novo mutations disrupting protein-coding genes have been demonstrated to cause ASD. Next-generation sequencing technology enables high-throughput identification of ASD risk RNAs. However, these efforts are time-consuming and expensive, so an efficient computational model for ASD risk gene prediction is necessary.Results In this study, we propose DeepASDPerd, a predictor for ASD risk RNA based on deep learning. Firstly, we use K-mer to feature encode the RNA transcript sequences, and then fuse them with corresponding gene expression values to construct a feature matrix. After combining chi-square test and logistic regression to select the best feature subset, we input them into a binary classification prediction model constructed by convolutional neural network and long short-term memory for training and classification. The results of the 10-fold cross-validation proved our method outperformed the state-of-the-art methods. Dataset and source code are available at https://github.com/Onebear-X/DeepASDPred is freely available.Conclusions Our experimental results show that DeepASDPred has outstanding performance in identifying ASD risk RNA genes.
Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities
Authors: Aldkheel Abdulrahman , Zhou Lina 
Published: April 2023

Abstract
Objective: Social media has become a safe space for discussing sensitive topics such as mental disorders. Depression dominates mental disorders globally, and accordingly, depression detection on social media has witnessed significant research advances. This study aims to review the current state-of-the-art research methods and propose a multidimensional framework to describe the current body of literature relating to detecting depression on social media.
Method: A study methodology involved selecting papers published between 2011 and 2022 that focused on detecting depression on social media. Three digital libraries were used to find relevant papers: Google Scholar, ACM digital library, and ResearchGate. In selecting literature, two fundamental elements were considered: identifying papers focusing on depression detection and including papers involving social media use.
Results: In total, 46 papers were reviewed. Multiple dimensions were analyzed, including input features, social media platforms, disorder and symptomatology, ground truth, and machine learning. Various types of input features were employed for depression detection, including textual, visual, behavioral, temporal, demographic, and spatial features. Among them, visual and spatial features have not been systematically reviewed to support mental health researchers in depression detection. Despite depression's fine-grained disorders, most studies focus on general depression.
Conclusion: Recent studies have shown that social media data can be leveraged to identify depressive symptoms. Nevertheless, further research is needed to address issues like depression validation, generalizability, causes identification, and privacy and ethical considerations. An interdisciplinary collaboration between mental health professionals and computer scientists may help detect depression on social media more effectively.
Electrochemical determination of tert-butylhydroquinone by ZIF- 67@TiO 2 derived hierarchical TiO 2 /Co/NCNTs
Authors: Zheng Shengbiao , Fan Jialong , Yin Feilong , Chen Jie , Hui Zhenzhen , Tang Jing , Wang Xuchun , Guo Jiahao 
Published: April 2023

Abstract
Heterostructured TiO2/Co nanoparticles/N-doped carbon nanotubes (TiO2/Co/NCNTs) nanomaterial had been derived from ZIF-67@TiO2 by calcination at high temperature in an Ar/H2 atmosphere. The obtained TiO2/Co/NCNTs composites was made up of numerous dodecahedron-like boxes with twisting nanotubes on surfaces, modified on glassy carbon electrode (GCE) for the electrochemical determination of tert-butylhydroquinone (TBHQ). The excellent electrocatalytic performance for TBHQ could be owing to the combination of multi-phase composition, fast electron transfer and the constructed Co/Ti multi-active sites. TiO2/Co/NCNTs sensor held broad linearity from 0.04 to 100 µM with a low detection limit of 4 nM, and possessed stability, anti-interfering ability and reproducibility. Finally, the analytical utility of the TiO2/Co/NCNTs sensor was checked by detecting TBHQ in the edible oil.
Multidimensional functionality limit states for seismic resilience analysis of urban buildings
Authors: Gutiérrez Juan , Ayala Amado Gustavo , López Saúl Esteban 
Published: April 2023

Abstract

Currently, most of methodologies available to evaluate the seismic performance of buildings use as index maximum interstory drifts. However, recent earthquakes have evidenced the need to develop performance levels that incorporate seismic resilience concepts to evaluate the level of post-seismic functionality of buildings and their capacity to recover functionality. Furthermore, such performance levels should explicitly consider the performance of structural, non-structural elements and contents. For this purpose, this paper proposes a set of six performance limit states for office-type buildings, in which the seismic performance of structural, non-structural elements and contents is explicitly considered. Each of these limit states is associated with a set of probable events that generically determine its recovery of functionality (e.g., post-seismic inspection and management of financial resources). To exemplify the proposed scheme a seven-story reinforced concrete building with unreinforced infill masonry walls and located in Mexico City is evaluated. The results obtained suggest that the building has a significant probability of experiencing loss of functionality due to the damage suffered mainly by the non-structural elements and contents. This indicates that modern seismic design codes, as that used for this study, accomplish their main objective, which is to reduce the probability of collapse and to prevent the loss of human lives. However, these results also demonstrate that the main objective of decision makers when designing such buildings, which is to be functional for one or several needs, is not achieved.
Modeling the Effect of Sustainable Land Management Program Intervention Work on land Use Land Cover Change in Amba 1 and Temba watershed, Benishangul Gumuz Region, Ethiopia
Authors: Shitu Kasye , Mekuriaw Mastewal , Degu Tigist , Hymiro Adibar , Biratu Tadesse , Misgana Workiye 
Published: April 2023

Abstract
Benishangul Gumuz Region in Ethiopia has been experiencing rapid land use and land cover change through illegal deforestation for shifting agriculture, livestock production, and fuel consumption. However, a sustainable land management program (SLMP) may be the way to curb this rapid land use land cover change in the micro watershed level in the Region. On the basis of this, to assess, the benefits after a 12-year micro watershed restoration effort, this research was conducted in two micro watersheds to investigate the land use land cover dynamics using intensive field observation, interview, and time series Landsat ( ETM + and OLI_TIRS) satellite data since 2010 up to 2021. After classifying the land use of the two micro watersheds (Amba1 and Temba) as Forest Lands, Bush Lands, Settlements, Grass Lands, Crop Lands, and Bare Lands for the years 2010, 2015, and 2021 the calculation of land use change dynamics result indicates significant incensement for forest land and settlements area from the year 2010 up to 2021. Whereas, the area of Bare Lands indicates a significant decrement up to 82.234% in Amba1 micro watershed. This result is an indicator that, sustainable land management program (SLMP) intervention can greatly improve land cover change for batter use in Ethiopia.
Nonlinear absorption features of organic dye in polar solvents: Role of solvents on solute molecule
Authors: S Jeyaram 
Published: April 2023

Abstract
This paper focuses the study of nonlinear absorption (NLA) features of anthraquinone dye namely, acid blue 129 with various polar solvents including ethanol, methanol, acetone, 1-proponal and DMSO. The acid blue 129 dye in polar solvents is characterized by UV-Visible absorption and emission study. The NLA measurements of acid blue 129 dye is examined via open aperture (OA) Z-scan method employing at 650 nm wavelength. The OA curve of the experimental dye exhibits both saturable absorption (SA) and reveres saturable absorption (RSA) characters, which results from negative and positive NLA coefficient (β). The order of ground and excited state absorption cross-section is measured to be 10˗22 m2 and 10˗18 m2, respectively and proved the existence RSA in acid blue 129 dye. The order of NLA coefficient and imaginary component of the third-order nonlinear susceptibility of acid blue 129 dye in polar solvent is calculated to be 10˗3 cm/W and 10˗5 esu, respectively. The multi-parameter scale viz., Kamlet-Abboud-Taft is used to measure the influence of solvent parameters on solute molecule. The results from the experiments suggest that the acid blue 129 is a suitable candidate for nonlinear optical (NLO) applications.