bluuebunny/crossref_metadata_2025_split huggingface dataset:
Response modification factor of SMA-based self-centering buckling-restrained braced frames
Authors: Hoveidae Nader , Abbasi samaneh 
Published: August 2023

Abstract
Shape Memory Alloys (SMAs) have significant efficacy in seismic resilience design due to their excellent superelasticity. The key characteristics of Nickle-Titanium (Ni-Ti) SMA include desirable fatigue and corrosion resistance and outstanding self-centering capacity, which provides the ability to undergo large deformations while reverting back to their original undeformed shape. The current numerical study presents an innovative Buckling-Restrained Brace (BRB) including a reduced-length core (HSCBRB) that is attached to a robust steel pipe. The core is laterally supported and consists of a SMA rod inserted into a steel pipe. The paper represents a detailed description of the proposed device. The research is carried out by investigating the overall behavior of the structural system as well as taking a close look at the response parameters of the system. In order to evaluate the response modification factor of the steel braced frames, static pushover, nonlinear time history, and incremental dynamic analyses are performed in the OpenSEES environment. Additionally, the fragility response curves are developed and compared. As a result, the proposed device significantly reduces the residual drift response of the steel buckling-restrained braced frames. Furthermore, an average response modification factor of 8.5 is obtained for the SMA-based self-centering buckling-restrained braced frames.
An AI-based approach for modeling the synergy between radiotherapy and immunotherapy
Authors: Peng Hao , Moore Casey , Zhang Yuanyuan , Saha Debabrata , Jiang Steve , Timmerman Robert 
Published: August 2023

Abstract

PULSAR (personalized, ultra-fractionated stereotactic adaptive radiotherapy) is the adaptation of stereotactic ablative radiotherapy towards personalized cancer management, which involves delivering radiation pulses in the ablative range, with intervals separated by weeks or months. The rationale behind this treatment paradigm is that longer intervals between pulses allow for changes in tumors to be utilized in adapting the treatment plan and potentially enhance immune-modulating effects. In our study, we aimed to investigate the interactions between combined PULSAR and PD-L1 blockade immunotherapy based on preclinical studies in syngeneic murine cancer models. Using an LSTM-RNN AI model, we successfully demonstrated that: 1) The LSTM-RNN model can effectively simulate the process of tumor growth and growth delay in a preclinical model, taking into account the combined PULSAR and immunotherapy; 2) The AI model seamlessly integrated various parameters, including pulse interval, radiation dose for each pulse, drug dose, and timing, to predict more effective combinations. Our model excelled in identifying the potential “causal relationship” between tumor growth and the timing of combined treatment, offering two notable advantages: end-to-end learning and prediction. The results of our study showcase significant potential in assisting the implementation of PULSAR and the design of dynamic trials, by harnessing immune-stimulatory effects and ultimately achieving more personalized cancer treatment.
Taylor Political Optimizer based Cluster Head selection in IoT assisted WSN networks
Authors: Chouhan Nitesh , Kumar Awanit , Kumar Naresh 
Published: August 2023

Abstract
IoT-assisted WSN contains various nodes, which are placed in huge scale that increases complications. Thus, challenges and issues of these networks fluctuate as compared to WSN. Hence, sensor nodes are imperative unit that runs on less energy resources. Hence, devising a robust and energy-effective protocol for increasing network lifetime is complex task. This paper devises a novel hybrid optimization driven approach for selecting cluster head (CH) in IoT-assisted WSN. Initially, simulation of IoT nodes is done by configuration. Thereafter, the Cluster Head selection is done using newly devised optimization technique, namely Taylor-Political optimizer (Taylor-PO). Thus, the fitness is newly developed by adapting certain attribute like energy, delay, inter and intra cluster distance, Link Lifetime (LLT), predicted energy and delay. Here, the multipath routing is accomplished using Tunicate Swarm grey wolf optimization (TSGWO). Thus, the proposed Taylor-PO is offered for effective Cluster Head selection along with multipath routing using TSGWO. The proposed Taylor-PO offered improved performance with smallest delay of 0.006sec, highest energy of 2.368J, highest throughput of 494.043kbps.
Predicting High-Risk Individuals in Disease Outbreaks Using Fuzzy Logic-Based Contact Tracing Model.
Authors: Aklah Zeyad T. , Al-Safi Amean , Abdali Maraw H. 
Published: August 2023

Abstract
Contact tracing plays a crucial role in identifying exposed individuals at high risk of infection during disease outbreaks. In this paper, we propose a fuzzy logic-based contact tracing model for predicting high-risk exposed individuals in disease outbreaks. The model utilizes various input parameters, including distance, overlap time, visiting time lag, incubation time, and facility size, to assess the risk of infection. Through the application of fuzzy logic, the model enables the modeling of complex relationships and uncertainties associated with these input parameters. We evaluated the model using simulated data, demonstrating its effectiveness in identifying individuals at different levels of risk. The evaluation includes partial input evaluation, and comprehensive inputs assessment to assess the impact of each parameter on the risk of infection. The results highlight the importance of considering multiple factors in contact tracing and provide insights into the key parameters that significantly influence the risk assessment. The proposed model has the potential to assist public health authorities in making informed decisions and implementing targeted interventions to mitigate the spread of diseases in outbreak situations. Moreover, it helps to alleviate unnecessary fear among individuals who are less likely to have been infected.
Gemcitabine as chemotherapy of head and neck cancer in Fanconi anemia patients
Authors: Brakenhoff Ruud , Harten Anne van , Shah Ronak , de Boer D. Vicky , Buijze Marijke , Kreft Maaike , Zurcher Lisa M. , Song Ji-Ying , Jacobs Heinz 
Published: August 2023

Abstract

Fanconi anemia (FA) is a rare hereditary disease characterized by an inactivating mutation in the FA/BRCA pathway, critical for the effective repair of DNA interstrand crosslinks (ICLs). The disease is characterized by progressing bone marrow failure, congenital abnormalities and an increased risk to develop malignancies early in life, in particular head and neck squamous cell carcinoma (HNSCC). While ICL-inducing cisplatin combined with radiotherapy are a mainstay of HNSCC treatment, cisplatin is contraindicated for FA-HNSCC patients. This dilemma necessitates the identification of novel treatment modalities tolerated by FA-HNSCC patients. To identify druggable targets, an siRNA-based genetic screen was performed previously in HNSCC-derived cell lines from FA and non-FA tumor origin. Here we report that the Ribonucleotide Reductase (RNR) complex, consisting of the RRM1 and RRM2 subunits, was identified as a therapeutic target for both, FA and non-FA-HNSCC. While non-FA-HNSCC cells responded differentially to RNR depletion, FA-HNSCC cells were consistently found hypersensitive. This insight was confirmed pharmacologically using 2', 2'-difluoro 2'deoxycytidine (dFdC), also known as gemcitabine, a clinically used nucleotide analogue that is a potent inhibitor of the RNR complex. Importantly, while cisplatin exposure displayed a severe, long-lasting toxicity on the hematopoietic stem and progenitor compartments in Fancg-/- mice, gemcitabine was well tolerated and had only a mild, transient impact. Taken together, our data implicate that gemcitabine-based chemoradiotherapy could serve as an alternative HNSCC treatment in Fanconi patients, and deserves clinical testing.
Laparoscopic Management of Iatrogenic Colon Perforation
Authors: Loberman Boaz , Kuhnreich Eviatar , Matter Ibrahim , Sr Gideon 
Published: August 2023

Abstract
Background: Iatrogenic colon perforation (ICP) due to colonoscopy, is a severe complication and is associated with significant morbidity and mortality. The global estimated incidence of ICP is 0.03% and up to 3% for diagnostic and therapeutic colonoscopies, respectively. Treatment options include endoscopic repair, conservative therapy, and surgery. Treatment decision is based on the time and the setting of the diagnosis, the type and location of the perforation, the presence of related pathologies, the clinical status and characteristic of the patient, and surgeon's skills. We present our experience in the treatment of ICPs.
Methods: A retrospective review was undertaken of all patients suffering from ICP at Bnai-Zion medical center between 1/1/2010 and 1/3/2021. Clinical presentation, therapeutic approach and short-term outcomes were analyzed.
Results: There were 51 cases of ICPs. 14(27%) were diagnosed by the gastroenterologist during the procedure, 2 of whom were treated with endoscopic clips. The rest of the patients (72.5%) were diagnosed in the ER after a CT scan. Forty-three patients (84%) went on to operative management: 5 (11%) operations started with laparotomy – All were conducted in the early study period (until 2013). All other operations (88%) started with a diagnostic laparoscopy, 4 of whom (10%) were converted to laparotomy. Out of the 38 laparoscopic cases 29(80%) were treated with primary suturing. 7 patients went on to colon resection (5 of whom with primary anastomosis). 6 patients required ICU admission – with 1/38(2%) from the laparoscopic cases, and 5/9(55%) from the laparotomy cases. 48/51(94%) patients recovered and were discharged after 5±2 for conservative and laparoscopic cases, and 12±9 for open cases.
Conclusion: Laparoscopic treatment of ICP is safe and feasible in most cases. Our data supports a laparoscopic attempt at any such scenario.
The artificial intelligence to analyze and characterize cell lines based on the processes of visible spectrum image data.
Authors: Gramatiuk Svetlana , Kryvoruchko Igor , Ivanova Yulia , Sargsyan Karine 
Published: August 2023

Abstract

In particular, as part of the extensive Stem Line project Mito-Cell-UAB073 «Stem cell lines - Quality control», we have taken a specific interest in a new and complementary CQ approach to cell line and stem cell line intelligence in Biobank. We have combined computer vision image processing methods and deep learning techniques to create the non-invasive Life Cell AI UAB model for robust prediction of cell line viability, using single static images obtained from standard optical light microscope systems.
The Life Cell AI UAB model showed a sensitivity of 82.1% for viable cell lines while maintaining a specificity of 67.5% for non-viable cell lines across three independent blind test sets from different biotechnology laboratories. The weighted overall accuracy in each blind test set was >63%, with a combined accuracy of 64.3% across both viable and non-viable cell lines, demonstrating model robustness and generalizability beyond the result expected from chance. Distributions of predictions showed clear separation of correctly and incorrectly classified cell lines. Binary comparison of viable/non-viable embryo classification demonstrated an improvement of 21.9% over cell lines accuracy (P = 0.042, n = 2, Student's t-test), and SOP procedure of QC comparison demonstrated an improvement of 42.0% over embryologists (P = 0.026, n = 2, Student's t-test).
The superior accuracy of the Life Cell AI UAB model could lead to improved quality control assessments of samples in Biobank. It could also assist in standardizing QC methods of cell lines and stem cells across multiple environments while eliminating the need for complex time-lapse imaging equipment.
Tendon stem cells seeded on dynamic chondroitin sulfate and chitosan hydrogel scaffold with BMP2 enhance tendon-to-bone healing
Authors: Zhang Qingsong , Wen Huawei , Liao Guangyang , Cai Xianhua 
Published: August 2023

Abstract
Rotator cuff injury has always been a clinical challenge. Repairing rotator cuff injury with tissue engineering technique has become a commonly used research strategy. The purpose of this study is to construct a dynamic chondroitin sulfate and chitosan hydrogel scaffold (CHS) with bone morphogenetic protein 2 (BMP2), then seed tendon stem cells (TSCs) on BMP2-CHS for the rotator cuff reconstruction of tendon-to-bone interface. In this dynamic hydrogel system, the scaffold could not only have good biocompatibility and degradability but also significantly promote the proliferation and differentiation of TSCs. The ability of BMP2-CHS combined with TSCs to promote the regeneration of tendon-to-bone interface was further verified in the rabbit rotator cuff tear model. The results showed that BMP2-CHS combined with TSCs could induce considerable collagen, fibrocartilage, and bone arrangement and growth at the tendon-to-bone interface, and promote the biomechanical properties. Overall, TSCs seeded on CHS with BMP2 can enhance tendon-to-bone healing and provide a new possibility for improving the poor prognosis of rotator cuff surgery.
Dissecting the genetic bases of resistance to Soil-Borne Cereal Mosaic Virus in durum wheat by biparental mapping and GWAS
Authors: Bruschi Martina , Bozzoli Matteo , Ratti Claudio , Sciara Giuseppe , Goudemand Ellen , Devaux Pierre , Ormanbekova Danara , Forestan Cristian , Corneti Simona , Stefanelli Sandra , Castelletti Sara , Frascaroli Elisabetta , Rubies-Autonell Concepcion , Perovic Dragan , Gadaleta Agata , Salvi Silvio , Maccaferri Marco , Sanguineti Maria Corinna , Roberto Tuberosa 
Published: August 2023

Abstract

Soil-borne cereal mosaic virus (SBCMV), the causative agent of wheat common mosaic, is a furovirus challenging wheat production all over Europe. Differently from bread wheat, durum wheat germplasm evolved in semi-arid areas and shows greater susceptibility and strong yield penalties, particularly in view of the Global Change effects. Tetraploid wheat germplasm harbors a major QTL providing medium to high resistance to SBCMV, namely QSbm.ubo-2B, mapped to a chromosome region coincident with Sbm2, previously mapped in hexaploid wheat. QSbm.ubo-2B = Sbm2 is considered a pillar for growing durum in SBCMV-affected areas like Northern and Central Italy and France. Moreover, it is also of interest for bread wheat improvement. Herein, we report the fine mapping of QSbm.ubo-2B = Sbm2 based on a combination of Genome Wide Association and bi-parental mapping up to a linkage block of 3.95 Mb comprised between IWB11421 and IWB23330 and, based on bi-parental meiosis, to a 2.66 Mb interval between IWB11421 = KUBO-27 and IWB28973 = KUBO-1. In total, 19 co-dominant KASP® and one Allele Specific Oligonucleotide (ASO)/High Resolution Melting (HRM) assay were developed, nine of which tagged closely the Sbm2 resistant haplotype and were validated in the durum cultivated germplasm, providing valuable diagnostic tools for molecular selection. Additionally, the durum wheat genome of the resistant parent Svevo has been inspected for the presence of candidate genes, including NBS-LRR. The developed Sbm2-tagging KASP® markers provide a valuable case-study for improving the efficacy and accuracy of European variety testing system and, ultimately, decision making.
Identification of MYB Gene Family in medicinal tea tree Melaleuca alternifolia (Maiden &amp; Betche) Cheel and Analysis of Members Regulating Terpene Biosynthesis
Authors: Zhang Xiaoning , Xu Zhanwu , Liu Buming , Xiao Yufei , Chai Ling , Zhong Lianxiang , Huo Heqiang , Liu Li , Yang Hong , Liu Hailong 
Published: August 2023

Abstract
Background
The tea tree (Melaleuca alternifolia) is renowned for its production of tea tree oil (TTO), an essential oil primarily composed of terpenes extracted from its shoot. MYB transcription factors, which are one of the largest TF families, play a crucial role in regulating primary and secondary metabolite synthesis. However, knowledge of the MYB gene family in M. alternifolia is limited.
Methods and results
Here, we conducted a comprehensive genome-wide analysis of MYB genes in M. alternifolia, referred to as MaMYBs, including phylogenetic relationships, structures, promoter regions, and GO annotations. Our findings classified 219 MaMYBs into four subfamilies: one 5R-MYB, four 3R-MYBs, sixty-one MYB-related, and the remaining 153 are all 2R-MYBs. Seven genes (MYB189, MYB146, MYB44, MYB29, MYB175, MYB162, and MYB160) were linked to terpenoid synthesis based on GO annotation. Phylogenetic analysis with Arabidopsis homologous MYB genes suggested that MYB193 and MYB163 may also be involved in terpenoid synthesis. Additionally, through correlation analysis of gene expression and metabolite content, we identified 42 MYB genes associated with metabolite content.
Conclusion
The results provide valuable insights into the importance of MYB transcription factors in essential oil production in M. alternifolia. These findings lay the groundwork for a better understanding of the MYB regulatory network and the development of novel strategies to enhance essential oil synthesis in M. alternifolia.
Tauberian theorems via generalized de la Vall\'{e}e-Poussin mean for sequences in 2-Normed spaces
Authors: Braha Naim , Loku Valdete , Mursaleen M. 
Published: August 2023

Abstract
In this paper, we obtain Tauberian conditions under which ordinaryconvergence of the sequence $(x_n)$ in $2-$ normed space $X$ follows from $%D_{n}^{r}-$ summability method, for every integer $r\geq 2.$ In fact we givenecessary and sufficient Tauberian condition for this method of summability.Also, we prove that Tauberian Theorems under these summability methods arevalid under oscillating slow of Schmidt-type and under Hardy-type conditions.
Bidirectional Mendelian Randomization analysis of the genetic association between primary lung cancer and colorectal cancer
Authors: Xiao Zhihan , Wang Zichen , Zhang Tongyu , Liu Yi , Si Mingxuan 
Published: August 2023

Abstract
Background
With the development and popularization of low-dose chest CT technology, the diagnosis and survival rates of patients with early lung cancer (LC) have significantly improved. The occurrence of colorectal cancer (CRC) as the second primary cancer (SPC) in primary lung cancer (PLC) survivors has become an essential factor affecting the prognosis of early LC. This study explored the potential association between PLC and CRC genetically, laying a foundation for developing SPC-CRC prevention strategies after primary early LC.
Methods
Based on a two-sample bidirectional Mendelian randomization (MR) design, this study systematically screened genetic instrumental variables (IVs) based on the genome-wide association studies (GWAS) of PLC and CRC, applied inverse variance weighted (IVW) as the main method to assess the incidence association between the two cancers, and used a variety of other MR methods for supplementary analysis. Finally, the Genetic Risk Scores (GRS) method was used for secondary analysis to verify the results robustness further.
Results
From LC to CRC forward MR analysis, 20 genetic IVs of overall LC, 15 genetic IVs of squamous cell lung carcinoma (LUSC), and 10 genetic IVs of adenocarcinoma of the lung (LUAD) were screened. In the reverse MR analysis from CRC to LC, 47 genetic IVs for overall CRC, 37 for colon cancer, and 25 for rectal cancer were screened. The IVW method and a variety of MR methods all found that overall LC and CRC were significantly associated at the genetic level. Subgroup analysis also showed that LUSC was associated with CRC. And the results of the GRS method were consistent with those of the main analysis, confirming the robustness of the study.
Summary
Our MR study found an association between LC and CRC, with an increased risk of SPC-CRC following PLC, especially LUSC. Our study provides an essential basis for the precise prevention of SPC-CRC after PLC, suggesting that we should pay more attention to the population with a history of PLC in clinical work, and pay close attention to the incidence of SPC-CRC, and carry out intervention and treatment as soon as possible.
ITGAV overexpression predicts poor prognosis in gastric cancer
Authors: Xu Yuan , Jia Lihua , Yu Weiming 
Published: August 2023

Abstract
To explore Integrin alpha V (ITGAV) expression and its potential impact on gastric cancer (GC). The TCGA database was used to acquire the clinical information of GC patients. GEPIA and Ualcan were employed to investigate the ITGAV expression in GC. Immunohistochemistry (IHC) and Quantitative real-time PCR(qRT-PCR)validated the expression level of ITGAV. A nomogram was established to evaluate the predictive function of ITGAV in GC. The concordance index (C-index) together with calibration plot assisted in assessing the model predictive performance. The decision curve analysis (DCA) served for the clinical value evaluation. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed to investigate the biological functions and signaling pathways. Bioinformatic data indicated ITGAV was significantly upregulated in GC (P < 0.05). IHC and qRT-PCR validated the result. ITGAV upregulation is closely associated with poor survival in GC (P < 0.05). Univariate and multivariate analysis revealed ITGAV was a risk factor for GC. Nomogram was developed and validated for GC patients, which revealed a good application prospect. ITGAV might serve as a predictive biomarker for GC and assist clinicians in decision-making.
Assessment of Ground Water Potentiality by using GIS and AHP based Multi-criteria Decision Making: Case Study in Noamundi area, Jharkhand
Authors: Panda Surajit , Banerjee Krishnendu , Jain Manish Kr. 
Published: August 2023

Abstract
In the present era, due to immense demand and excessive exploitation, ground water is thriving depletion and stress. Sustainable groundwater management and development is essential for the green revolution and industrialization through scientific and modern quantitative techniques. The integrated geographical information system (GIS) based analytical hierarchy process (AHP) of multi-criteria decision analysis (MCDA) technique is adopted to establish the importance of ground water influencing factors. In the present study eight groundwater influencing parameters viz. geology/lithology, geomorphology, lineament density, drainage density, slope, soil permeability, land use/land cover and rainfall have been used to assess ground water potential zone (GWPZ).An appropriate weight was assigned for each factor/parameter based on 9 point scale of Saaty and the weights were normalized by AHP and eigenvector method with standard value (0.000000085) of continuity ratio (CR). The Noamundi area of Jharkhand has been selected as a projected area for the study. In accordance with MCDA's GIS based AHP model, five GWPZs have been categorized in the projected area comprising very good (2.07%), good (15.15%), moderate (41.18%), poor (39.37%) and very poor (2.24%) GWPZ. Finally, the results have been validated with randomly scattered existing groundwater table and yield data (open dug well, Bore well, rig well and tube well).