bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Outcomes of Patients with Metastatic Breast Cancer treated with Hypo-Fractionated Liver Radiotherapy
Authors: MUSHONGA Melinda , Helou Joelle , Weiss Jessica , Dawson Laura , Lukovic Jelena , Wong Rebecca , ABDALATY ALI HOSNI , Kim John , Koch Anne C , Lindsay Patricia , Stanescu Teodor , Alrabiah Khalid , Barry Aisling 
Published: November 2022

AbstractIntroductionGrowing data support the safe and efficacious use of ablative radiotherapy in the setting of liver metastases, with some studies suggesting that patients with metastatic breast cancer (MBCa) do better than patients with metastases from other cancers. This study aims to retrospectively review clinical outcomes of patients with MBCa following liver radiotherapy (RT).Materials and MethodsPatients with MBCa who received liver hypo fractionated ablative RT between 2004 – 2020 were classified according to metastatic classification and treatment intent (i.e., oligo-metastatic (OM) or oligo-progressive (OP)). Demographics, disease characteristics and treatment characteristics were collated. Primary outcome was local control (LC) of treated metastases. Secondary outcomes included overall survival (OS), progression-free survival (PFS), and time to next line systemic therapy (ST), analyzed by univariate (UVA) and multi-variable analysis (MVA).ResultsThirty MBCa patients with 50 liver metastases treated with 5 – 10 fraction ablative intent RT were identified for analysis. Median follow-up was 14.6 months (range 0.9 - 156.2 months). Mean age was 55.6 years (range 32.1 - 79.3 years); 53% were ER+/HER2-ve and 33% HER2+ve. Class of metastatic disease was described as – induced (12 patients, 40%), repeat (15 patients, 50%) and de novo (3 patients, 10%) (1 synchronous, 2 metachronous). Indication of treatment was OP (73%) and OM (27%). Median size of treated liver metastases (LM) was 3.1 cm (range 1cm – 8.8 cm) and the median dose delivered was 40Gy (range 30Gy-60Gy). 1 and 3-year LC rates were 100%. Median OS was 57.7-months with size of treated liver metastases predictive of overall survival (HR 1.35, p=0.023) on UVA. Median time to progression post treatment was 4.8 months (0.8 – 114.7). Patients with induced OMD had a significantly higher rate of progression (HR 4.77, p=0.01) on UVA compared to others, which trended to significance on MVA (HR 3.23, p=0.051).ConclusionHypo-fractionated ablative liver RT in patients with MBCa provides safe, tolerable treatment with excellent LC. Further studies assessing the impact, ideal sequencing, and indications of RT in each metastatic class in MBCa are required.
Resveratrol improves the progression of osteoarthritis by regulating cholesterol metabolism
Authors: Liang ChuanCai , Xing Hengte , Wang ChenYu , Xu XiongFeng , Hao Yarong , Qiu Bo 
Published: November 2022

Abstract
Osteoarthritis (OA) is considered a metabolic disorder.This study investigated the effect of resveratrol (RES) on cholesterol accumulation in osteoarthritic articular cartilage via the SIRT1/FoxO1 pathway. Interleukin (IL)-1β-treated chondrocytes that mimic OA chondrocytes were used in in vitro experiments. The optimal RES concentration was selected based on the results of chondrocyte proliferation in the Cell Counting Kit-8 assay. Western blotting, immunofluorescence, and reverse transcription-quantitative polymerase chain reaction were performed. For the animal experiments, mice were randomly divided into the RES group (n = 15), medial meniscus destabilization group (n = 15), and Sham group (n = 15), and each group received the same dose of RES or saline. Articular cartilage tissue was obtained eight weeks after surgery for relevant histological analysis. Clinical tissue test results suggest that downregulation of the SIRT1/FoxO1 pathway is associated with cholesterol buildup in OA chondrocytes. For the in vitro studies, RES increased SIRT1expression and FoxO1 phosphorylation in IL-1β-treated chondrocytes, promoted the expression of cholesterol efflux factors (LXRα, ABCA1, and ApoA1), and inhibited the expression of cholesterol synthesis-related factors (SREBP-2and HMGCR). This reduced IL-1β-induced chondrocytes cholesterol accumulation. SIRT1 inhibition prevented the RES-mediated reduction in cholesterol buildup. Inhibiting FoxO1but not SIRT1reduced FoxO1phosphorylation and increased cholesterol buildup in cultured chondrocytes. Additionally, in vivo experiments have shown that RES can alleviate cholesterol buildup and pathological changes in OA cartilage. Our findings suggest that RES regulates cholesterol buildup in osteoarthritic articular cartilage via the SIRT1/FoxO1 pathway, thereby improving the progression of OA.
Evaluation Of The Effectiveness Of Intravitreal Anti-VEGF Injection With Intravitreal Dexamethasone Implant In Patients With Treatment-Resistant Diabetic Macular Edema
Authors: Hakan Koc , Atilla Alpay , Hayri Ugurbas Suat 
Published: November 2022

Abstract
Purpose: To assess the effectiveness of monthly anti-VEGF therapy with an intravitreal dexamethasone (DEX) implant in patients with diabetic macular edema (DME) whose macular edema persists despite anti-VEGF therapy.
Materials and methods: This study included 94 eyes of 94 patients whose diabetic macular edema (Central Macular Thickness (CMT) >300 µm) persisted despite previous injections of 3 doses of anti-VEGF. The patients were followed up at the first, second, third, and six month after intravitreal injection. Best corrected visual acuity (BCVA), central macular thickness (CMT) and intraocular pressure (IOP) change parameters were evaluated.
Results: In terms of age, proliferation, and lens status, there was no statistically significant difference between the groups. When CMT, BCVA, and IOP were assessed among the 4 groups at the end of the sixth month, no statistical difference between the groups was found. There was no need for medical intervention despite the statistically significant increase in IOP at the end of the sixth month compared to the third month in the dexamethasone implanted groups. In contrast to the decrease in CMT, which was statistically significant in all 4 groups at the end of the 6th month compared to the 3rd month, the increase in BCVA was not statistically significant in any of the 4 groups at the end of the 6th month.
Conclusion: According to the results of our study, there is no superiority between continuing with existing anti-VEGF or switching to dexamethasone implant after 3 doses of anti-VEGF.
SLAMF8, a potential novel immune checkpoint molecule, is associated with the prognosis of colorectal cancer
Authors: Zhang Yaping , Zhang Qun , Han Xingzhi , Han Lu , Wang Ting , Hu Jing , Li Li , Ding Zhou , Shi Xiao , Qian Xiaoping 
Published: November 2022

Abstract
Recently, immune checkpoint inhibitors (ICIs) represented by programmed cell death 1(PD-1) monoclonal antibody (mAb) have revolutionized the treatment mode of malignant tumors, and have achieved long-lasting antitumor effects in a variety of solid tumors. However, this antitumor effect is limited to a small subset of specific colorectal cancer (CRC). Therefore, screening and identifying new immune checkpoint molecules are key points and hotspots in the research field of anti-tumor immunotherapy. The signaling lymphocytic activation molecule (SLAM) family is mainly expressed by and regulates the functions of immune cells. Recent studies have shown that several SLAM family members are involved in the regulation of the tumor immune microenvironment, which are promising targets for anti-tumor immunotherapy. The signaling lymphocytic activation molecule family member 8 (SLAMF8) (B-lymphocyte activator macrophage expressed/CD353) is a type I cell surface glycoprotein and clusters on chromosome 1q21. Our previous studies have shown that SLAMF8 is a potential marker for predicting the efficacy of anti-PD1 immunotherapy in gastrointestinal tumors. To further illustrate the clinical value of SLAMF8 in CRC, we retrospectively analyzed the relationship between SLAMF8 expression and prognosis of CRC patients (CRCs), the associations of the expression levels of SLAMF8 and SLAM family other members and other classical immune checkpoint molecules, using The Cancer Genome Atlas (TCGA) dataset, RNA sequencing dataset, tissue immunohistochemical staining, and systematic follow-up. In the present study, high SLAMF8 expression is associated with poor OS in CRCs. and the mRNA expression of SLAMF8 was positively correlated with the expression of multiple classical immune checkpoints (PDL1 PDL2, CTLA4, and LILRB4) and other SLAM family members. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested that high SLAMF8 expression CRC tissues were significantly enriched in signaling pathways related to tumor and immune signal regulation
Risk factors associated with complications and 30-day readmission in endoscopic endonasal transsphenoidal surgery: a single-institution retrospective analysis
Authors: Mezzacappa Frank M. , Wang Alan , Opperman Patrick J. , Shearin Alexander E. , Rezaii Elhaum G. , Samson Kaeli , Drincic Andjela , Coughlin Andrew , Barnes Christie , Pate Samuel , Gard Andrew , Aizenberg Michele , Thorell William , Surdell Daniel 
Published: November 2022

Abstract
Purpose: There is a recent trend towards rapid discharge after endoscopic endonasal transsphenoidal surgery (EETS). We aimed to identify factors related to in-hospital complications and 30-day readmissions to help inform postoperative care practices.
Methods: This is a retrospective analysis of patients that underwent EETS for resection of a tumor. Primary outcomes included complications and 30-day readmission.
Results: Transient diabetes insipidus occurred in 37% of patients with a complication. Complication was associated with bedrest, occurring in 15.4% of patients without no bedrest, in 24.5% of patients with bedrest of 2-3 days, and in 54.6% of patients with >3 days of bedrest (p=0.02). The median length of stay was 6 days and 4 days in patients with and without a complication, respectively (p<0.0001). Readmission within 30 days occurred in 9.5% of cases, most commonly due to hyponatremia. 30-day readmission was associated with American Society of Anesthesiologists (ASA) class, where 12.5%, 5.9%, and 37.5% patients with ASA class 2, 3, and 4 were readmitted in 30 days, respectively (p=0.02). A maximum tumor diameter (TDmax) of 20-29 mm was associated with readmission, occurring in 20.9% of those patients (p=0.01). EOR was not associated with postoperative complication or with 30-day readmission.
Conclusion: In-hospital complication was associated with increased duration of postoperative bedrest, although no causative relationship can be established based on this data. Preoperative anticoagulation usage, increasing ASA class, and TDmax 20-29 mm may help predict 30-day readmission after EETS. EOR was not associated with complications or 30-day readmission.
Measurement of amplitude and medium of light waves
Authors: Tian Yunchuan 
Published: November 2022

Abstract
Amplitude and medium are important issues of light waves and have not been discussed in the past.We measured them with three optics experiments.The first experiment shows that the polarization direction of small angle reflected light on metal remains unchanged.Liquid refractive index data prove that the light wave is a transverse wave on a one-dimensional string and the medium of the light wave is present.The second experiment measures the selection effect of the surface electrons on the amplitudeof light.The amplitude of light is obtained from the new refractive index formula.The third experimenton interference shows that solids can reduce the speed of light outside the surface. All three experiments demonstrate that the Substance density distribution of the electron is accurate.
A Low cost and high throughput spectroscopic method for quantification of seed coat colour differences in plain seeded bean (Phaseolus vulgaris L.) germplasm from Western Himalayan Kashmir
Authors: Sofi Parvaze Ahmad , Khalid Ramsha , Shafi Sadiah , Zaffar Aaqif , Zargar Sajad Majeed 
Published: November 2022

Abstract
Seed phenotyping is routinely done using visual assessment that suffers from subjectivity. In the present study we phenotyped 278 Western Himalayan bean accessions using a low cost spectroscopic method based on quantification of seed colour in terms of L*,a*,b* and δ E. There was substantial variation for L*, a*, b* and δ E parameters for all seven colour classes. The mean value for L* was lowest for red (31.31) and highest for white (78.17) and reverse in case of a*. Similarly, mean value for b* was lowest for black (-0.29) and highest for yellow (40.86). In terms of deviations from standard colours depicted by δ E, highest mean value was observed in red colour (6012.16) and lowest was recorded for green (18.36) with a mean of 2525.72 across all colours. The first two principal components accounted for 86.74% of variation. contributed by colour and L* in PC1 and b*, L* and a* in PC2. In the present study, based on the factor loading graph, colour is strongly correlated with L* as is evident from its significant contribution in both PC1 and PC2. The multivariate analysis clearly delineates the diversity panel of 278 genotypes into distinct colour groups as shown by concentration of genotypes of similar colour class into specific regions of four coordinates of biplot based on L*, a* and b* values and their observed relationship with colour scores. The method removes the subjectivity in visual colour specifications, is quantitative and can help in exact quantification of varietal differences.
Dynamic and thermodynamic impact of L94A, W100A, and W100L mutations on the D2 dopamine receptor bound to risperidone
Authors: Bello Martiniano , Azam Faizul 
Published: November 2022

Abstract
DRD2 is an important receptor in the mediation of antipsychotic drugs but also in Parkinson medication, hyperprolactinemia, nausea and vomiting. Recently, crystallographic studies of the DRD2-risperidone complex have provided important information about risperidone recognition in wild-type and different stabilizing DRD2-risperidone residues. Using the crystallographic structure of the DRD2-risperidone complex as a starting point, we undertook molecular dynamics (MD) simulations to investigate the structural and thermodynamic basis of molecular recognition by risperidone at the ligand-binding sites of wild-type and mutant DRD2. A solvated phospholipid bilayer was used to construct DRD2-risperidone complexes, which were then subjected to several microsecond (µs) MD simulations in order to obtain realistic receptor–ligand conformations under the equilibrated simulation time. Risperidone had a higher affinity for wild-type and L94A mutant DRD2 than the W100L and W100A mutants, according to binding free energy calculations using the Molecular Mechanics Generalized-Born Surface Area (MMGBSA) method, explaining the experimental differences in ligand residence times. Principal component analysis revealed important conformational mobility upon molecular recognition of risperidone for the L94A mutant compared to the wild type, indicating an unfavorable entropic component that may contribute to improving risperidone affinity in the L94A DRD2 mutant.
Prediction of watershed processes based on morphometric features using feature selection, SOM, and GMDH algorithms
Authors: Mokarram Marzieh , Pourghasemi Hamid Reza , Tiefenbacher John P. 
Published: November 2022

Abstract
Alluvial fans of 4 watersheds in Iran were extracted semi-automatically using GIS and digital elevation model (DEM) analysis. The relationships between 25 morphometric features of these watersheds, the amounts of erosion, and formation material were investigated using the self-organizing map (SOM) method. A feature-selection algorithm was used to select the most important parameters affecting erosion and formation material. The group method of data handling (GMDH) algorithm was employed to predict erosion and formation material based on morphometrics. The results indicated that the semi-automatic method in GIS was able to detect alluvial fans. The SOM algorithm determined that the morphometric factors affecting the formation material were fan length, minimum height of fan, and minimum fan slope. The main factors affecting the erosion were fan area and minimum fan height. The feature selection algorithm identified minimum fan height, maximum fan height, minimum fan slope, and fan length to be the morphometrics most important for determining formation material, and basin area, fan area, maximum fan height and C irb were the most important characteristics for determining erosion rates. The GMDH algorithm predicted the fan formation materials and rates of erosion with high accuracy (R 2 = 0.94, R 2 = 0.87).
A proposal of a supply risk classification method based on the combination of fuzzy and consensus reaching techniques
Authors: Arantes Rafael Ferro Munhoz , Carpinetti Luiz Cesar Ribeiro 
Published: November 2022

Abstract
One of the challenges of supply chain management is to properly react to supply interruptions due to disruption risks or poor performance. In this context, supply risk assessment and mitigation based on judgments of severity and occurrence is a common approach to establish risk factor mitigation priorities. This is a decision process that entails imprecise judgments by a group of decision makers, which may be better dealt with by applying computing with words combined with soft consensus techniques. Therefore, taking into account limitations of previous studies, this paper proposes a group decision making model to classify supply risk factors using the possibility distribution-based hesitant fuzzy linguistic term set as inputs to a fuzzy rule base classification system using a non-compensatory rule base. Also, the study includes computational modeling and a pilot application of the proposed decision model in a manufacturing company. The results of the pilot application were coherent with the experts´ evaluations. Using hesitant fuzzy linguistic term sets enabled the experts to express their uncertainty about judgments in a better way. Also, the fuzzy rule base classification system is better to classify risk factors than the Mamdani FIS, which is more adequate to simply order risk factors.
Construction of a Clustered Intelligent Piano Performance Multimedia System from Neural Networks to Group Optimization
Authors: Wang Qi 
Published: November 2022

Abstract
Piano plays an irreplaceable role in Western musical instruments. Since the advent and development of piano, it has a history of more than 500 years. In the different stages of its development, the structure of piano has also changed a series. "Smart piano" as a new instrument for piano learning, its broad market development prospects have been valued. It is characterized by the comprehensive application of modern science and technology on the basis of maintaining the musical characteristics of traditional piano, and the transformation and expansion of its product structure and use function. "Smart piano" connects interactive computer with piano and forms human-computer interaction. The computer leads the performer to play, taking the screen as the display window, and displaying the music score or music related content. In the process of practical application, we often encounter some special situations, such as the small scale of data set, the lack of sample data and data instability. In order to achieve satisfactory classification ability, neural network must first learn from the training sample data. For small-scale data sets, there is a lack of samples for neural network learning, so the learning effect can not meet the requirements. Based on the above analysis, this paper constructs an intelligent piano performance system based on neural network and cluster optimization.
Determination of Best Possible Parameter in Soft Set
Authors: Demirtaş Naime , DALKILIÇ ORHAN 
Published: November 2022

Abstract
Decision making problem in an uncertain environment is found prime importance in current periods of time. An innovative methods based on soft set theory with applications in many fields of daily life of uncertain environment have already been developed and proposed. In this paper, We find out the best possible parameter from the given fixed set of parameters in any soft sets over the universe U, which is given for the solution of an uncertainty problem. Moreover, we construct an algorithm, which proceed towards an application for a type of uncertainty problem. The paragon outcome is achieved in a scope of group work to compute the success value of the group. We hope that this research for the selection of best possible parameter of universal set in any soft set will be worthwhile to researchers working on problems having uncertainty in many features for further studies in this field.
Mathematics Subject Classification (2010). 03E75, 90B50, 91B06
Research on Policy Diffusion Mechanism of Government Procurement of Public Services Based on MFCM
Authors: Zhang Yuting , Xu Lan , Lu Zhengnan 
Published: November 2022

Abstract
Research on policy diffusion mechanism of Government Procurement of Public Services (GPPS) is beneficial to improve the efficiency of policy formulation and implementation. In view of four dimensions which are internal demand, external pressure, policy innovation environment and service characteristic, a system of factors affecting policy diffusion is established. On this basis, a Multilayer Fuzzy Cognitive Map (MFCM) model for policy diffusion of GPPS is constructed. Nonlinear Hebbian Learning algorithm and genetic algorithm are applied to optimize the two components of MFCM model, which are relationship between nodes at the same layer and influence weights between nodes at different layers respectively. Taking Nanjing municipal government purchasing elderly-care services in China as the empirical object, simulation of policy diffusion based on MFCM model is carried out, aiming to obtain the key factors influencing policy diffusion and the dynamic diffusion mechanism of GPPS policy. Research results show that, compared with monolayer Fuzzy Cognitive Map, MFCM model converges faster. In addition, simulation results of policy diffusion indicate that economic development level of jurisdiction, superior pressure, administrative level and operability of services are key influencing factors which are under four dimensions correspondingly. And the dynamic influencing mechanism of key factors has also been learned.
Adaptive Whale Optimization Algorithm with simulated annealing strategy and Its Application in Magnetic Target Location
Authors: Gao Yuanyuan , You Haidong , Xu Jun 
Published: November 2022

Abstract
Aiming at the problem that the detection of underground magnetic targets is greatly affected by the measurement accuracy and the recognition effect is not ideal, this paper proposes a magnetic target positioning method based on an adaptive whale optimization algorithm. As the whale optimization algorithm has problems such as easy to fall into local optima and slow convergence speed, this paper introduces two strategy improvements, simulated annealing (SA) and adaptive weighting (AW). Through 16 standard test functions, the improved whale optimization algorithm in this paper is compared with the standard whale optimization algorithm (WOA), particle swarm optimization algorithm (PSO), and cuckoo algorithm (CS). The results show that the improved whale optimization algorithm proposed in this paper It has higher optimization precision and faster convergence speed. Finally, the optimization algorithm in this paper is applied to the research of magnetic target positioning, and the effectiveness of the algorithm is verified through simulation experiments, and the accuracy of positioning the target is optimized.