bluuebunny/crossref_metadata_2025_split huggingface dataset:
Music reward sensitivity is associated with greater information transfer capacity within dorsal and motor white matter networks in musicians
Authors: Matthews Tomas , Lumaca Massimo , Witek Maria A.G. , Penhune Virginia B. , Vuust Peter 
Published: February 2024

Abstract

There are pronounced differences in the degree to which individuals experience music-induced pleasure which are linked to variations in structural connectivity between auditory and reward areas. However, previous studies exploring the link between white matter structure and music reward sensitivity (MRS) have relied on standard diffusion tensor imaging methods, which present challenges in terms of anatomical accuracy and interpretability. Further, the link between MRS and connectivity in regions outside of auditory-reward networks, as well as the role of musical training, have yet to be investigated. Therefore, we investigated the relation between MRS and structural connectivity in a large number of directly segmented and anatomically verified white matter tracts in musicians (n = 24) and non-musicians (n = 23) using state-of-the-art tract reconstruction and fixel-based analysis. Using a manual tract-of-interest approach, we additionally tested MRS-white matter associations in auditory-reward networks seen in previous studies. Within the musician group, there was a significant positive relation between MRS and fiber density and cross section in the right middle longitudinal fascicle connecting auditory and inferior parietal cortices. There were also positive relations between MRS and fiber-bundle cross-section in tracts connecting the left thalamus to the ventral precentral gyrus and connecting the right thalamus to the right supplementary motor area, however, these did not survive FDR correction. Tract-of-interest analyses did not reveal an association between MRS and auditory-reward connectivity. These results suggest that, within musicians, dorsal auditory and motor networks are crucial to MRS, possibly via their roles in top-down predictive processing and auditory-motor transformations.
Urinary bladder cancer treatment by artemisinin and its combination with cisplatin exhibit a potent anti-cancer effect in male albino mice
Authors: Botrous Silvia , Elmaghraby Ayaat , ElAchy Samar , Mustafa Yehia , Abdel-Rahman Salah 
Published: February 2024

Abstract
Urinary bladder cancer is the 10th most common cancer type worldwide. Where, about 600.000 people are diagnosed with bladder cancer globally and more than 200.000 people die from this disease every year. So, the aim of this study is to investigate and examine the efficiency of artemisinin as cancer treatment alone and in combination with cisplatin on urinary bladder cancer induced by N-butyl-N-(4-hydroxybutyl) nitrosamine (BBN) in male albino mice. Biochemical analysis (creatinine and urea functions), hematological markers (HB, PLT, RBCs and WBCs counts), histopathological examinations (kidney and bladder tissues), and gene expression levels of oncogenes (FGFR3 and HRAS) and tumor suppressor genes (P53 and KDM6A) were studied in the urinary bladder cancer bearing-mice. The results demonstrated that creatinine, urea, HB, PLT, RBC and WBC were significantly improved after treatment with artemisinin individually and in combination with cisplatin. In kidney tissues, artemisinin combined with cisplatin significantly decreased renal damage caused by cisplatin. While in bladder tissues, artemisinin displayed a significant anti-cancer effect on mice urinary bladder cancer, and this efficiency could be increased by combination with cisplatin. In this study, the results also demonstrated that FGFR3 and HRAS genes expression levels showed down-regulating, while, P53 and KDM6A genes expression levels were up-regulating as a result of artemisinin treatment in mice urinary bladder cancer. We can declare that artemisinin exhibits a significant anticancer effect on urinary bladder cancer, and this value can be upgraded by combination with cisplatin.
Distribution and roles of chemical components in the phellem cell walls of Cerasus jamasakura (Siebold ex Koidz.) H. Ohba
Authors: Saito Hayato , Nakai Takahisa , Toba Keisuke , Kanbayashi Toru 
Published: February 2024

Abstract
Bark, the outermost tissue covering the stem, plays an important role in protecting trees from damage induced by living organisms and the surrounding environment. Bark differs from the xylem mainly by the presence of suberin in phellem cell walls. However, to date few studies have examined the role of suberin and its interactions with other chemical components in the phellem. Consequently, this study aimed to understand the distribution of chemical components, including suberin and lignin, and their respective roles in phellem cell walls, using Cerasus jamasakura (Siebold ex Koidz.) H. Ohba. Suberin and lignin were selectively removed from thin strip specimens that were intermittently collected from the branches of a living tree. Fourier transform infrared (FTIR) spectroscopy suggested that desuberinization sufficiently removed both suberin and other matrix substances within a few minutes of treatment, whereas delignification exclusively removed lignin. Further microscopic observation revealed that the most suberin present was distributed in the secondary wall of phellem cells, whereas lignin was present in both the tertiary wall and compound middle lamella. In addition, the cell wall collapse of the phellem was only found in desuberinized specimens, whereas delignified specimens only showed monotonic contraction. Taken together, these results suggest that the presence of suberin in the phellem contributes to the shape stability of phellem cell walls.
Whole-Exome sequencing reveals Kawasaki disease susceptibility genes and their association with coronary artery lesion
Authors: Wang Yazhou , Chen Xuepeng , Zhang Dufei , Chen Renwei , Alifu Ailixiati 
Published: February 2024

Abstract
Purpose: This study aimed to explore Kawasaki disease (KD) susceptibility genes and their complications like coronary artery lesions (CAL) using whole exome sequencing (WES).
Methods: Between April 1, 2021, and December 31, 2022, our study included 55 pediatric patients diagnosed KD at our center, alongside a cohort of healthy children who sought medical care at our institution during the same timeframe. We extracted peripheral blood DNA from all participants and employed the advanced high-throughput Illumina Next-Generation Sequencing technology for comprehensive analysis. Through bioinformatics evaluation, we identified potential susceptibility genes. Moreover, from the 55 KD patients, we selected 15 for the CAL group and 40 for the non-CAL group. We aimed to investigate whether there were significant differences in the allele frequencies of the targeted susceptibility genes between these subgroups, to explore the risk alleles associated with the development of CAL in KD.
Results: HLA-DRB1 rs17882084 and IL6ST rs781455079 genotypes and alleles differed significantly between KD and non-KD (P<0.05). No differences existed for IL17RC rs143781415 and VEGFB rs776229557 (P>0.05). No differences in HLA-DRB1 rs17882084, IL6ST rs781455079, and VEGFB rs776229557 genotypes existed between CAL and non-CAL groups (P>0.05). However, the IL17RC rs143781415 genotype differed significantly between them (P<0.05).
Conclusions: HLA-DRB1 rs17882084 and IL6ST rs781455079 genotypes may be potential KD susceptibility gene candidates. Specifically, HLA-DRB1 rs17882084 GA genotype and A allele, and IL6ST rs781455079 TC genotype and C allele may increase KD risk. Additionally, the IL17RC rs143781415 genotype may increase CAL risk in KD patients.
Tumor specific TGF-β insensitive CD8 + T cells augments the antitumor effect through inhibition of epithelial-mesenchymal transition in CD 105 + renal carcinoma stem cells
Authors: Wang Longxin , Zhang Chao , Yue Dezhou , Dong Jie 
Published: February 2024

Abstract
Background The CD105+ cell clones isolated from renal cell carcinoma (RCC)were characterized as cancer stem cells. This study aimed to explore the antitumor mechanism of the transform growth factor-β(TGF-β) insensitive CD8+ T cells against CD105+ cells in vitro and vivo.
Methods The CD105+ cell clones were isolated from primary RCC cell lines and characterized by the immunofluorescence, qRT-PCR and western-blotting analysis. The expression levels of TGF-β1 were examined in 105 RCC tissues and correlation regression analysis were performed. The tumor specific TGF-beta insensitive CD8+ T cells were expanded ex vivo as previously described. The naïve CD8+ T cells and PBS as control. The humanized SCID mice were challenged with injection of CD105+ cells before adoptive transfer. The antitumor appraisal including survival analysis, tumor burden and bioluminescent imaging examination. The presence of pulmonary metastases was evaluated pathologically and epithelial-mesenchymal transition related molecular were analyzed.
Results The CD105+ cells were characterized with renal cancer stem cell for the high expression of Nanog, Oct4, Vimentin, Pax2 and high tumorigenicity. The TGF-beta-insensitive CD8+T cells showed the specific antitumor effect against CD105+ in vitro, were associated with suppressed pulmonary metastasis, and prolonged survival times, inhibited the epithelial-mesenchymal transition in tumor microenvironment.
Conclusion Our results demonstrate that the TGF-beta insensitive CD8+T cells show the tumor-specific antitumor effect including reduce tumor burden, inhibit pulmonary metastasis by blockade the EMT mechanism existed in CD105+CSCs. This study may provide a new perspective and method for the immunotherapy in RCC.
InfVIKOR: A hybrid Decision-Making computational approach to identify influential nodes in complex networks
Authors: Singh Naveen Kumar , Patel Asmita , Sharma Naveen , Verma Nidhi , Sharma Saurabh Kumar , Singh R. K. Brojen 
Published: February 2024

Abstract
Identifying influential nodes in complex networks remains a significant challenge in network analysis. In this direction, one attractive challenge is to characterize the spreading capabilities of nodes, which could serve as potential regulators of the network. While node centrality methods have been widely used for identifying such nodes, they are often tailored to specific problems. In this research work, a new method InfVIKOR is proposed aimed at accurately identifying influential nodes and addressing bias inherent in single-measure evaluations. This method utilizes a Multi-Criteria Decision Making (MCDM) approach called VIKOR, which integrates multiple parameters to effectively identify influential nodes. The method uses the centrality measure as a criterion with proper optimization method to construct group utility function of the complex network, and then quick sort algorithm is applied to rank the nodes according to their influence score derived from the group utility measure. InfVIKOR prioritizes influential nodes to achieve a balanced combination of efficacy and efficiency. To evaluate the effectiveness of the method, the Susceptible-Infected (SI) model is employed to simulate communication propagation across six real-world networks. The experimental findings underscore the accuracy and efficacy of the proposed method. Further, this method can be used in any hierarchical scale free networks.
Low-temperature Irreversible Thermochromic Indicator Based on Functional Polydiacetylene for Food Storage Applications
Authors: Goyal Sachin , Sharma Deepika , Kumar Kamlesh 
Published: February 2024

Abstract
Thermochromic materials are of great interest because of their color transition characteristic as a function of temperature, and this property may find potential applications as a temperature indicator. Irreversible thermochromic materials that display color change at low temperatures can be utilized as a temperature indicator to ensure the safety and quality of deep-frozen products during storage and transportation. In this work, we have successfully prepared a novel colorimetric sensor based on a functionalized polydiacetylene dye. In order to achieve thermochromic transition of different temperature ranges, pentacosadiynoic acid (PC) was functionalized with ethylene glycol monomethylether (EGME), diethylene glycol monomethyl ether (DGME) and triethylene glycol monomethyl ether (TGME), resulting the formation of ester head groups. Photopolymerization of the synthesized diacetylene dyes was carried out to convert the monomers of the dyes into polymers. The Fourier transform infrared spectroscopy (FTIR), Nuclear magnetic resonance (NMR), and Raman spectroscopy were used to characterize the synthesized product. The absorption spectroscopy and optical images study revealed that the functionalized dyes underwent irreversible thermochromic transition when exposed to freezing temperatures. This property of irreversible color transition can make them a reliable indicator of temperature change. The functional dye was incorporated into a polymer film to apply directly on deep freeze products as a polymer strip and when the temperature increases upon freezing level, the color of the thermochromic strip changes which can provide a visual warning to the consumers and manufacturers.
Unsupervised Inductive node representation learning for dynamic graphs
Authors: Zhou Wen-Gang , Abbas Khushnood 
Published: February 2024

Abstract

Graph-structured data is crucial for modeling complex real-world systems, but traditional machine learning struggles with
non-Euclidean relationships inherent in graphs. Graph embedding techniques address this by creating fixed-dimensional
vector representations of nodes, edges, or graphs, enabling diverse downstream tasks. However, existing approaches often focus on static graphs, limiting applicability in time-sensitive scenarios. To bridge this gap, our research proposes a novel node embedding method tailored for Discrete Time Dynamic Graphs (DTDGs). We introduce a framework for learning model parameters to generate embeddings at any time point inductively. Through extensive experiments, our model demonstrates superior performance over state-of-the-art static and dynamic embedding methods, highlighting its effectiveness and robustness. This advancement in dynamic graph representation learning holds promise for real-world applications, from biological proteinprotein interaction networks to large-scale human interaction networks. We provide publicly available code for reproducibility of our results https://github.com/khushnood/UnsupervisedInductiveNodeRepresentationForDynamicGraphs.
De novo hemizygous P.Arg204Leu mutation in ALAS2 Gene in young Indian male with X-linked sideroblastic anemia: A case report
Authors: Machiraju Phani Krishna , Namala Satya Prasad , Pandurangan Prabu , Soni Mamta , Palanisamy Ruba , Sankar Santhosh 
Published: February 2024

Abstract
Introduction: Congenital sideroblastic anemia is a heterogeneous disorder characterized by ineffective erythropoiesis and microcytic hypochromic anemia. The phenotypic expression of CSA is variable and the most common form is X-linked, caused by mutations of delta- aminolevulinic acid synthase 2 (ALAS2).We report a novel missense mutation in the ALAS2 gene in a young Indian male patient.
Case details: A 19 year old gentleman presented with severe anemia. Bone marrow revealed ringed sideroblasts and clinical exome sequencing revealed a novel mutation (p.Arg204Leu) of ALAS2 gene.
Discussion: More than 100 pathogenic variants in ALAS2 gene have been reported till date. In our case, one novel missense pathogenic variant was identified in Exon 5 which resulted in the amino acid substitution of Leucine for Arginine at codon 204, which responded well to pyridoxine.
Conclusion: Our case adds to the XLSA pathogenic variant database and expands the number of cases of the rare disease.
One-year Developmental Changes in Motor Coordination and Technical Preparation in 10–12-year-old Male and Female Tennis Players
Authors: Waldziński Tomasz , Waldzińska Ewa , Durzyńska Aleksandra , Niespodziński Bartłomiej , Mieszkowski Jan , Kochanowicz Andrzej 
Published: February 2024

Abstract

Background: To date, no longitudinal studies have been conducted on the differences in the development of motor coordination between boys and girls in relation to changes in their technical preparation level in tennis. Therefore, the aim of the study was to assess the development of motor coordination of 10–12-year-old tennis players over the course of 1 year. Insight into the longitudinal changes of coordination abilities may be useful for trainers, instructors, and teachers of physical education training children, and could be used for talent spotting and improving training programs designed for adolescent tennis players.
Methods:One-hundred eighty male and female tennis players aged 10, 11, or 12 years old participated in the study. Each age group comprised 30 boys and 30 girls. To investigate their motor coordination development, a battery of general tests and specific technical preparation tests were performed 4 times quarterly over 1 year. Differences between sexes and the time points were assessed. The rate of development was evaluated based on beta coefficient of linear regression.
Results:Boys generally performed better in technical preparation tests than girls, as observed for one motor coordination test among 10-year-olds, three tests among 11-year-olds, and six tests among 12-year-olds. Jump rope test among 10-year-olds and hexagon jump test among 12-year-olds were the only tests where girls performed better than boys. On the other hand, girls showed higher rate of development in balance and complex reaction tests than boys.
Conclusions:
We conclude that motor coordination and technical preparation development over 1 year is age-, sex-, and task-dependent, with the 10–12-year-old male tennis players performing better in tennis technical preparation and overall motor coordination than females.
Investigation of the Effectiveness of Audio Processing and Filtering Strategies in Noisy Environments on Speech Recognition Performance
Authors: ÖZKURT Cem 
Published: February 2024

Abstract
This study investigates the effects of audio processing and filtering strategies to enhance the performance of speech recognition systems in noisy environments. The focus is on the Short-Time Fourier Transform (STFT) operations applied to noisy audio files and noise reduction procedures. While STFT operations form the basis for detecting noise and analyzing the speech signal in the frequency domain, noise reduction steps involve threshold-based masking and convolution operations. The results obtained demonstrate a significant improvement in speech recognition accuracy in noisy environments through audio processing and filtering strategies. A detailed analysis of the graphs provides guidance for evaluating the effectiveness of noise reduction procedures and serves as a roadmap for future research. This study emphasizes the critical importance of audio processing and filtering strategies in improving the performance of speech recognition systems in noisy environments, laying a foundation for future studies.
Biochar from co-pyrolysis of biological sludge and sawdust in comparison with the conventional filling media of vertical-flow constructed wetlands for the treatment of domestic-textile wastewater
Authors: Ayadi Mariem , Passaseo Davide , Bonaccorso Giulia , Fichera Michelangelo , Renai Lapo , Venturini Lorenzo , Colzi Ilaria , Fibbi Donatella , Del Bubba Massimo 
Published: February 2024

Abstract

A biochar from co-pyrolysis of a mixture of sawdust and biological sludge (70/30, w/w), providing a high environmental compatibility in terms of water leachable polycyclic aromatic hydrocarbons and inorganic elements, together with a remarkable surface area (389 m2/g), was integrated into laboratory-scale vertical-flow constructed wetlands (VF-CWs), planted with Phragmites australis and unplanted. Biochar-filled VF-CWs have been tested for 8 months for the refining of effluents from the tertiary clariflocculation stage of a wastewater treatment plant operating in a mixed domestic-industrial textile context, in comparison with systems filled with gravel. VF-CW influents and effluents were monitored for chemical oxygen demand (COD), nitrogen and phosphorus cycles, and absorbance values at 254 and 420 nm, the latter as rapid and reliable screening parameters of the removal of organic micropollutants containing aromatic moieties and/or chromophores. Biochar-based systems provided a statistically significant improvement in COD (Δ = 22%) and ammonia (Δ = 35%) removal, as well as in the reduction of UV–Vis absorbance values (Δ = 32–34% and Δ = 28% for 254 and 420 nm, respectively), compared to gravel-filled microcosms. The higher removal of organic was mainly attributed to the well-known adsorption properties of biochars, while for nitrogen the biological mechanisms seem to play a predominant role.
Network Pharmacology Analysis on the Mechanism of Xihuangwan in Treating
Rectal Cancer and Radiation Enteritis
Authors: Lv Minghe , Ding Rong , Ma Peizhen , Feng Yue , Zeng Su , Zhang Yang , Shen Wenhao , Guan Wenhui , E. Xiangyu , Zeng Hongwei , Yu Jingping 
Published: February 2024

Background:
Recent studies have shown that XihuangWan (XHW) is a kind of Chinese medicine
with significant anti-tumor and anti-inflammatory activities. However, its mechanism for preventing and treating
radiation proctitis in rectal cancer patients during radiotherapy remains unclear.

Methods:
This study employed the network pharmacology to establish a “drug-active ingredient-target genedisease”
network via using TCMSP, SymMap, GeneCard, and OMIM databases. The PPI network was conducted
by the String tool. The core targets of XHW in the treatment of rectal cancer and radiation enteritis
were identified by topological analysis, and the functional annotation analysis and pathway enrichment analysis
were performed.

Results:
A total of 61 active ingredients of XHW ingredients, 4607 rectal cancer-related genes, 5803 radiation
enteritis-related genes, and 68 common targets of XHW in the treatment of rectal cancer and radiation enteritis
were obtained. PTGS1 and NR3C2, as identified potential targets, were significantly associated with OS of colorectal
cancer patients. GO and KEGG enrichment analysis showed that bioinformatics annotation of these
common genes was mainly involved in DNA-binding transcription factor, PI3K/Akt, TNF, HIF-1 signaling
pathway, and colorectal cancer pathway.

Conclusion:
The active ingredients of XHW, mainly including Quercetin, Ellagic acid, and Stigmasterol,
might act on common targets of rectal cancer and radiation enteritis, such as PTGS1, NR3C2, IL-6, EGFR,
HIF-1A, CASP3, BCL2, ESR1, MYC, and PPARG, and regulate multiple signaling pathways like PI3K-Akt,
TNF, and HIF-1 to inhibit tumor proliferation, tumor angiogenesis, inflammatory responses, and oxidative
stress, thereby achieving prevention and treatment of radiation enteritis in rectal cancer patients during radiotherapy.
It provided an important reference for further elucidating the anti-inflammation and anti-tumor mechanism
and clinical application of XHW.
A Simple and Efficient Path for the Synthesis Antineoplastic Agent
(2R,3R,4S,5R)-5-(6-Amino-2-Chloropurin-9-yl)-4-Fluoro-2-(Hydroxymethyl)
oxolan-3-ol (Clofarabine)
Authors: Nagarapu Laxmi Kumari , Sudhakar Chithaluri , Namana Suresh Babu 
Published: February 2024

Abstract:
Clofarabine (1) is an anticancer agent used to treat acute leukemia. This work discloses the
efforts to develop a convenient, environmentally benign, and high-yielding synthetic protocol leading
to Clofarabine (1). The synthesis includes bromination of 2-deoxy-2-β-fluoro-1,3,5-tri-O-benzoyl-1-
α-D-ribofuranose (6), followed by C-N coupling with a 2,6-dichloro purine (4) and selective amination
consecutively. The proposed total synthesis comprises five steps to afford an overall yield of 65-
70% with 99.85% purity. The present process provides preparation of Clofarabine (1) using a simple
purification process with lesser reaction time, better yield, and purity without using toxic and pyrophoric
chemicals.