bluuebunny/crossref_metadata_2025_split huggingface dataset:
Continual Learning Approaches to Hand-Eye Calibration in Robots
Authors: Bahadir Ozan , Siebert Jan Paul , Aragon-Camarasa Gerardo 
Published: January 2024

Abstract

This study addresses the problem of hand-eye calibration in robotic systems by developing a continuous learning (CL)-based approach. Traditionally, robots require explicit models to transfer knowledge from camera observations to their hands or base. However, this poses limitations, as the hand-eye calibration parameters are typically valid only for the current camera configuration. To overcome this, we propose a flexible and autonomous hand-eye calibration system that can adapt to changes in camera pose over time.

Three CL-based approaches are introduced: the naive CL approach, the reservoir rehearsal approach, and the hybrid approach, combining reservoir sampling with new data evaluation. The naive CL approach suffers from catastrophic forgetting, while the reservoir rehearsal approach mitigates this issue by sampling uniformly from past data. The hybrid approach further enhances performance by incorporating reservoir sampling and assessing new data for novelty.

Experimental evaluations conducted in simulated and real-world environments demonstrate that the CL-based approaches, except for the naive one, achieve competitive performance compared to traditional batch learning-based methods. This suggests that treating hand-eye calibration as a time sequence problem enables the extension of the learned space without complete retraining. The adaptability of the CL-based approaches facilitates accommodating changes in camera pose, leading to an improved hand-eye calibration system.
Application of Full Waveform Inversion in passive seismic explorations: Some practical considerations
Authors: kashi Mohammad Hazrati , Tatar Mohammad , Norouzi Siavash 
Published: January 2024

Abstract

Passive seismic tomography has been proved to be a great alternative solution for areas which is highly challenging to be explored by active seismic methods. As a modern high resolution tomographic algorithm, we consider Full Waveform Inversion (FWI) as a potential passive seismic method for Dehdasht embayment, South West, Iran. However, before the implementation of FWI process on the real dataset of Dehdasht area, we test our proposed multi-scale workflow on a synthetic model resembling our area of interest. Using this workflow, different factors affecting the FWI results such as source and receiver configurations, presence of noise in data and erroneous source location were evaluated. Fortunately, with a receiver spacing similar to Dehdasht acquisition network, using enough number of sources and especially in Vs model, it is possible to reconstruct such high-resolution features of the medium as hydrocarbon trap, high-velocity bedrock and shallow syncline structure. Moreover, despite a high level of random noise added to the data, the results demonstrate that our proposed workflow is robust enough to diminish the adverse effect of noise and present a clear subsurface tomographic image of the medium. However, simulations with erroneous source locations warns about the divergence and instability of FWI process caused by the sources with high location errors. As a result, before the implementation of FWI on the real dataset of Dehdasht project, we should dedicate a specific attention on source relocation or source modeling process in general. At the end, we propose a hierarchical processing workflow for the real dataset of Dehdasht to guarantee the convergence to a high-resolution tomographic model of the Dehdasht embayment area.
In vitro effect of Granulocyte-macrophage colony-stimulating factor (GM-CSF) on the expression of related genes to sperm motility and energy metabolism, and ICSI outcomes in obstructive azoospermic patients
Authors: Sabz fatemeh Tanhaye Kalate , Hosseini Elham , Amjadi Fatemeh Sadat , Mohammadian Masoud , Zandieh Zahra , Mohammadian Farnaz , Kafaeinezhad Raheleh , Ashrafi Mahnaz 
Published: January 2024

Abstract
Background
Granulocyte-macrophage colony-stimulating factor (GM-CSF) expressed in the human reproductive system, holds a pivotal role in the reproductive processes. This study investigates the in vitro effect of GM-CSF on the testicular sperm of obstructive azoospermia (OA) patients and assesses the effectiveness of GM-CSF‐supplemented sperm media in Intracytoplasmic sperm injection (ICSI) outcomes.
Methods and Results
Following testicular sperm extraction from 20 patients diagnosed with OA, each sample was divided into two parts: the experimental samples were incubated with the medium containing 2 ng/ml GM-CSF at 37°C for 60 min, and control samples were incubated with medium without GM-CSF. Subsequently, the oocytes retrieved from the partner were injected with sperms from treatment and the control groups. The sperm parameters ( motility, viability), the expression level of sperm motility-related genes (PIK3R1, PIK3CA, and AKT1 ), and sperm energy metabolism-related genes (GLUT1, GLUT3, and GLUT14) were assessed. Furthermore, the fertilization and cleavage rates and embryo quality were evaluated. Supplemented testicular sperm with GM-CSF significantly increased motility parameters, the mRNA expression of PIK3R1, AKT1, and GLUT3 compared to the non-treated group (p < 0.05). However, no significant differences in mRNA expression of PIK3CA, GLUT1, or GLUT14 were identified. Based on ICSI outcomes, the GM-CSF treatment group exhibited significantly higher fertilization rates (p = 0.027), cleavage rates (p = 0.001), and the proportion of good-quality embryos (p = 0.002) compared to the control group.
Conclusions
GM-CSF increased gene expression related to motility and energy metabolism pathway and effectively had a positive effect on the motility of testis-extracted spermatozoa and, consequently yielding positive clinical outcomes.
The dynamics of vertical coalescence of acoustically levitated droplets
Authors: Vashi Aditya , Yadav Ajeet Singh , Nguyen Nam-Trung , Sreej Kamalalayam Rajan 
Published: January 2024

Abstract

Mobility manipulation of liquid droplets is an important task of digital imicrofluidics. Acoustic levitation has revolutionised the contactless manipulation of liquid droplets for various applications. Acoustic levitation technique can be effectively used to manipulate droplets to obtain their coalescence. This paper reports a unique, versatile, and material-independent approach for the vertical coalescence of the droplets suspended in an acoustic levitator. The acoustic power of the levitator is carefully engineered to obtain vertical coalescence of two liquid droplets. Water, 20% and 40% glycerol-water solutions are used as the working liquids. The results of the experiments revealed three outcomes during the coalescence. The outcomes are analysed and discussed.
Solution of Relativistic Feshbach-Villars Spin-1/2 Equations
Authors: Papp Zoltan , Wingard Derek , Vallejo Antonio Garcia 
Published: January 2024

Abstract
We propose method for studying relativistic spin-$1/2$ particles by solving the corresponding Feshbach-Villars equation. We have found that the Feshbach-Villars spin-$1/2$ equations can be formulated as spin-coupled Feshbach-Villars spin-$0$ equations,that results in a Hamiltonian eigenvalue problem.We adopted an integral equation formalism.The potential operators are represented in a discrete Hilbert space basisand the relevant Green's operator has been calculated by a matrix continued fraction.
The RNA helicases DDX19A/B modulate Selinexor sensitivity by regulating MCL1 mRNA nuclear export in leukemia cells
Authors: Maeda Takahiro , Terasaki Tatsuya , Semba Yuichiro , Sasaki Kensuke , Imanaga Hiroshi , Setoguchi Kiyoko , Yamauchi Takuji , Hirabayashi Shigeki , Nakao Fumihiko , Akahane Koshi , Inukai Takeshi , Akashi Koichi 
Published: January 2024

Abstract
Selinexor, a first-in-class exportin1 (XPO1) inhibitor, is an attractive anti-tumor agent because of its unique mechanisms of action; however, its dose-dependent toxicity and lack of biomarkers preclude its wide use in clinical applications. To identify key molecules/pathways regulating Selinexor sensitivity, we performed genome-wide CRISPR/Cas9 dropout screens using two B-ALL lines. We identified, for the first time, that paralogous DDX19A and DDX19B RNA helicases modulate Selinexor sensitivity by regulating MCL1 mRNA nuclear export. While single depletion of either DDX19A or DDX19B barely altered MCL1 protein levels, depletion of both significantly attenuated MCL1 mRNA nuclear export, reducing MCL1 protein levels. Importantly, combining Selinexor treatment with depletion of either DDX19A or DDX19B markedly induced intrinsic apoptosis of leukemia cells, an effect rescued by MCL1 overexpression. Analysis of Depmap datasets indicated that a subset of T-ALL lines expresses minimal DDX19B mRNA levels, and, in fact, either Selinexor treatment or DDX19A depletion effectively induced TP53-independent apoptosis of MOLT-3, a T-ALL line expressing low DDX19B levels. We conclude that XPO1 and DDX19A/B coordinately regulate cellular MCL1 levels and propose that DDX19A/B could serve as biomarkers for Selinexor treatment. Moreover, pharmacological targeting of DDX19 paralogs may represent a potential strategy to induce intrinsic apoptosis in leukemia cells.
Denitrificimonas halotolerans sp. nov., a novel species isolated from landfill leachate
Authors: Wang Shanhui , Yuan Chu , Xu Chengbin , Li Ditian , Zhang Han , Wang Jing , Wang Xin , Li Yan , Jiao Dian , Yuan Siliang , Chen Han , Qiu Dongru 
Published: January 2024

Abstract
A polyphasic taxonomic approach was employed to characterize the strain JX-1T isolated from landfill leachate samples in Wuhan city, Hubei province. Compared to the five most closely related type species, strain JX-1T and Denitrificimonas caeni HY-14T exhibited the highest sequence similarity (96.83%) for 16S rRNA gene, nearly reaching the maximum value of 20.3% for digital DNA-DNA hybridization (DDH), with the highest value of 76.06% for average nucleotide identity (ANI) and the highest value of 78.89% for average amino acid identity (AAI). The genome size of strain JX-1T was 2,778,815 bp with a G + C content of 46.12%. It had a total of 2059 clusters, 2710 proteins, and 498 singletons. The major fatty acids in strain JX-1T were Summed Feature 8 (C18:1ω7c/C18:ω6c)(18.28%), iso-C15:0 (28.52%), and anteiso-C15:0 (13.54%). The respiratory quinones were predominantly Q9 (91.92%) with a minor presence of Q8 (8.08%). The major polar lipids included aminolipid, aminophospholipid, diphosphatidylglycerol, glycolipid, phosphatidylethanolamine, phosphatidylglycerol, and phospholipid. This bacterium showed resilience to elevated salinity and high levels of ammonia nitrogen in physiological experiments. These results of this polyphasic study enabled the genotypic and phenotypic differentiation of the strain analyzed from the closest related species, which confirmed that the strain represented a novel species within the genus Denitrificimonas, for which the name Denitrificimonas halotolerans sp. nov. was proposed with JX-1T (MCCC 1K08958T = CCTCC M2023896T) as the type strain. The strain JX-1T, despite being classified as Denitrificimonas, lacked denitrification-related genes and was solely capable of ammonia assimilation.
Positioning control of robots using a novel nature inspired optimization based neural network
Authors: Kai Guo , Zhi Bo , Sai Wang , Jingjing Ge 
Published: January 2024

Abstract

Positioning control methods for robot arms are offered within a broad framework for the purposes of unification and categorization. In robot control, the issue of Inverse Kinematics (IK) is crucial. Several conventional IK solutions, including geometry, iterations, and algebraic approaches, are insufficient for high-speed solutions and precise positioning. In recent years, the subject of robot IK using neural networks has attracted a great deal of attention, although its precise control is convenient and need improvement. To tackle the IK issue of a UR3 robot, we offer the Global Iterative Sunflower Optimized Binary Multi Layer Perceptron (GISOB-MLP) neural network technique. The GISOB-MLP improves upon previous methods in terms of generalizability, convergence speed, and convergence accuracy. In order to perform medical puncture surgery, which necessitates precise robot positioning to within 1 mm, the study method solves the position error for the UR3 robot IK only with joint angle or less 0.1 degree courses and the output end tool less than 0.1 mm. The study was conducted, and initial results were obtained, with the goal of pinpointing the robot's puncturing application; this laid the groundwork for the robot's eventual widespread use in medical settings.
Nomogram model to predict progression from Preserved Ratio Impaired Spirometry to Chronic Obstructive Pulmonary Disease in inpatient people: Development and validation of a novel model
Authors: Wu jiaxuan , Wang Guoqing , Gan Jiadi , Yang Lan , Zhang Huohuo , Xian Jinghong , Li Yalun , Li Weimin 
Published: January 2024

Abstract
Background
Preserved Ratio Impaired Spirometry (PRISm) is a specific subtype of pre-chronic obstructive pulmonary disease (pre-COPD), defined as FEV1/FVC ≥ 70% and FEV1<80% pred by pulmonary function test (PFT). People with PRISm are at risk of progression to chronic obstructive pulmonary disease (COPD). We developed a model to predict progression in subjects with PRISm.
Methods
We screened out 188 patients whose lung function transitioned from PRISm to COPD, 173 patients with PRISm who underwent at least two lung function tests and remained unchanged for two years in West China hospital. A total of 283 patients were finally included and they were randomly divided into training and validation groups at a 8:2 ratio. Logistic regression was used to create the model, which eventually emerges as a nomogram.
Results
A total of 283 patients were enrolled, 134 patients (47.35%) were eventually diagnosed with COPD. The training cohort included 227 patients and the validation cohort included 56 patients. Through baseline feature comparison and logistic regression, we finally identified seven meaningful variables, including age, body mass index (BMI), FEV1 pred, FEV1/FVC, family history of respiratory disease, respiratory complications and immune related diseases. Accordingly, one nomogram was developed. The areas under the receiver operating characteristic (ROC) curves of this model were 0.89 and 0.86 in the training and validation cohorts, respectively. The model is well calibrated and decision curve analysis (DCA), clinical impact curve (CIC) demonstrated that the predictive model was clinically meaningful.
Conclusion
We developed China’s first prediction model for the progression of lung function from PRISm to COPD in a real-world inpatient population. This model is conducive to early identification of high-risk groups of pulmonary function deterioration, so as to provide timely intervention and delay the occurrence and progression of the disease.
Public Opinion About COVID-19 on a Microblog Platform in China: Topic Modeling and Multidimensional Sentiment Analysis of Social Media
Authors: Guo Feipeng , Liu Zixiang , Lu Qibei , Ji Shaobo , Zhang Chen 
Published: January 2024

Background
The COVID-19 pandemic raised wide concern from all walks of life globally. Social media platforms became an important channel for information dissemination and an effective medium for public sentiment transmission during the COVID-19 pandemic.

Objective
Mining and analyzing social media text information can not only reflect the changes in public sentiment characteristics during the COVID-19 pandemic but also help the government understand the trends in public opinion and reasonably control public opinion.

Methods
First, this study collected microblog comments related to the COVID-19 pandemic as a data set. Second, sentiment analysis was carried out based on the topic modeling method combining latent Dirichlet allocation (LDA) and Bidirectional Encoder Representations from Transformers (BERT). Finally, a machine learning logistic regression (ML-LR) model combined with a sparse matrix was proposed to explore the evolutionary trend in public opinion on social media and verify the high accuracy of the model.

Results
The experimental results show that, in different stages, the characteristics of public emotion are different, and the overall trend is from negative to positive.

Conclusions
The proposed method can effectively reflect the characteristics of the different times and space of public opinion. The results provide theoretical support and practical reference in response to public health and safety events.
PENDAMPINGAN PENGGUNAAN MEDIA AUDIO VISUAL DAN LESSON PLAN DALAM PEMBELAJARAN DI LEMBAGA PENDIDIKAN AL-MAARIF KUNINGAN
Authors: Zahrah Riza , Nugraha Fajar , Mahendra Hatma Heris , Suryana Dudung 
Published: January 2024

Dibawah naungan yayasan Tumenggung Argawijaya berdiri sebanyak tiga lembaga pendidikan yaitu PAUD Al-Maâ€™arif, TPA/TKA Al-Maâ€™arif dan DTA Al-Maâ€™arif. Jumlah pengajar tetap di yayasan ini adalah 25 orang dengan latar belakang pendidikan tertnggi S-2 satu orang, S-1 sebanyak 8 orang, D-II sebanyak 6 orang dan SLTA sebanyak sepuluh orang. Dikarenakan keterbatasan jumlah pengajar dan beragamnya latar belakang dan bidang pendidikan, ada beberapa pengajar yang mengajar merangkap di dua lembaga pendidikan, misalnya pagi mengajar di PAUD, sorenya mengajar di MDTA. Jumlah peserta didik dari tiga lembaga pendidikan adalah 224 siswa. Inovasi dan kreatifitas masih rendah yang berimplikasi pada proses penyelenggaraan pendidikan dan pengajaran yang berlangsung , seperti kemampuan merancang rencana pelaksanaan pembelajaran (lesson plan)Â dan penggunaan media audio visual.
Individualized treatment of deep neck space infections A retrospective analysis of 51 patients
Authors: Tian Chunhui , Zhao Renwu , Liu Yehai 
Published: January 2024

Objectives Aim of this study was to investigate clinical characteristics
and individualized treatment experience of different types of deep neck
space infections(DNSI) . Design Retrospective study. Setting Tertiary
Referral Otolaryngology Centre. Participants 51 subjects with deep neck
space infections. Main outcome measures In 51 subjects with DNSI, 15
cases were not treated with abscess incision and drainage; 36 cases were
treated by incision, drainage and dressing change: 23 cases were treated
with traditional incision and drainage and dressing change; 13 cases
were given the combined treatment of incision and drainage, pyogenic
cavity aerobic therapy and negative pressure drainage. The average
number of days of dressing change and average hospital stay were
compared between the two groups Results The
average hospitalization days in the traditional dressing group were
(26.74±3.393) days, and the average days of postoperative dressing
change were (25.91±3.427) days. The average hospitalization days in
pyogenic cavity aerobic therapy + negative pressure drainage were
(11.08±2.108) days, and the average days of postoperative dressing
change were (3.692±0.208) days. All 51 patients were cured. Conclusion
Individualized treatment can minimize the trauma of patients according
to each patient’s own situation. The pyogenic cavity aerobic therapy has
proved to be a good method for dressing change after deep neck space
infections, and the satisfactory curative effect.
Targeted drug delivery using Beeswax derived Albendazole-Loaded Solid Lipid Nanoparticles in Haemonchus contortus , an albendazole tolerant nematode
Authors: Sharma Sunidhi , Goel Vanshita , Kaur Pawandeep , Gadhave Kundlik , Garg Neha , Singla Lachhman , Choudhury Diptiman 
Published: January 2024

Targeted delivery has not been achieved for anthelmintic treatment,
leading to excess drugs and side effects for therapeutics. For that,
drug-loaded, biocompatible nanoparticles were made using lipids that
helminths uptake as a food source. The formulation showed excellent drug
(albendazole) loading efficiency of 83.3 ± 6.5 mg/g with
sustained-release properties and showed 86.4 ± 3.9 % of drug release
within 24 h. Furthermore, upon ingestion of Rhodamine B loaded particles
by Haemonchus contortus, a time-dependent release of dye was observed in
the alimentary canal followed by dissemination in the whole worm. The
intestinal sustained-release property was shown by the particles that
caused enhancement of albendazole potency for up to 50 folds. Therefore,
this formulation has immense potential as an anthelminthic drug delivery
vehicle that will not only be able to reduce the dose but will also
reduce the drug-induced side effects by enhancing the bioavailability of
the drug.
Prognostic risk model of immune-related genes in ovarian cancer
Authors: Ding Bo , Yan Wenjing , Wang Shizhi , Shen Yang 
Published: January 2024

The prognosis of patients with ovarian cancer (OC) is highly
heterogeneous which hinders to make an appropriate clinical decision.
The study aimed to stratify patients’ prognoses by establishing a risk
assessment model in the context of mRNA levels of immune-related genes
(IRGs). Comprehensive bioinformatics analyses were done using datasets
from The UCSC Xena platform, ICGC Data Portal, The Cancer Genome Atlas
(TCGA), and the Genotype‐Tissue Expression (GTEx) project. LASSO
regression was done to determine the independence of associations of
specific factors with overall survival (OS). Nomogram that combined the
independent prognostic factors was constructed to predict the OS of OC
patients. The tumor microenvironment and immune response were estimated
by cell type identification via estimating the relative subset of known
RNA transcripts (CIBERSORT) and immunophenoscore (IPS). Overall ten IRGs
were significantly associated with the OS probability and were used for
the prognostic model construction of OC patients. According to the
prognostic model, ovarian cancer samples were identified as high- or
low-risk group. A nomogram containing risk score, stage,
histological grade and age could significantly predict 1-year, 3-years,
and 5-years OS probability of OC patients, as well as a higher IPS score
and a higher immunoreactivity phenotype, which were probably correlated
with better immunotherapy response and good prognosis. In conclusion, we
established a reliable IRGs-based risk model with potential prognostic
value for patients with ovarian cancer. Further studies are needed to
confirm these prognosis-associated biomarkers.
A case report of pulmonary fibroadenoma with central liquefaction necrosis
Authors: Shen Ruxin , Ma Kai 
Published: January 2024

Background: Generally computed tomography (CT) imaging findings
of PAF present as well-defined, homogeneous and solitary nodules.
Current evidence shows, no cases of PAF with central liquefaction
necrosis on CT. Case Report: A 70-year-old man was hospitalized
due toan inguinal hernia without respiratory symptoms. Chest CT scan
revealed a tumor (about 6.5cm*5.5cm) in the lower lobe of the left lung.
According to a contrast-enhanced scan, the lesion was slightly enhanced,
and liquefaction necrosis appeared in the center. Wedge resection was
performed by video-assisted thoracic surgery(VATS). The postoperative
pathology diagnosis was PAF. Conclusion: PAF with liquefied
necrosis in the center of the tumor on CT is very rare and needs to be
differentiated from malignant tumors and solitary fibrous tumor through
histopathology and even immunohistochemistry.