bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment and Survival for Patients with Localized Primary Ocular Adnexal Mucosa-Associated Lymphoid Tissue Lymphoma
Authors: Qi Shu-Nan , Gao Lin-rui , Li Xin , Wang Xinyue , Liang Yuanzheng , Wu Yunpeng , Feng Xiaoli , Rao Wei , Liu Xin , Song Yong-Wen , Fang Hui , Chen Bo , Jin Jing , Liu Yue-Ping , Jing Hao , Tang Yuan , Lu Ning-Ning , Wang Shu-Lian , Li Ye-Xiong , Wang Liang 
Published: December 2023

Abstract
Despite the favorable prognosis of primary ocular adnexal mucosa-associated lymphoid tissue lymphoma (POAML), the impact of baseline characteristics and various treatment approaches on the disease outcome and toxicities remains unclear. In this cohort, 262 patients with Ann-Arbor stage IE POAML were grouped by first-line treatment: observation (n = 81), surgery (n = 70), systemic treatment (chemotherapy and/or immunotherapy [CT/IT], n = 29), or radiotherapy (RT, n = 82). With a median follow-up period of 66 months, five-year overall survival (OS), lymphoma-specific mortality, and non-lymphoma-specific mortality rates were 96.8%, 0.4%, and 2.3%, respectively. Standardized mortality ratio (SMR) was 1.02 (P = 0.963). OS, relative survival, and SMR were similar across the treatment groups; however, the risk of failure was significantly lower with RT (11.0%, P = 0.006) than with observation (33.3%), surgery (28.6%), and CT/IT (24.1%). The patient-reported Ocular Surface Disease Index questionnaire showed that RT with a definitive dose caused a slightly higher incidence of dry eye. In conclusion, patients with localized POAML exhibit very favorable survival outcomes regardless of the treatment. Radical RT may be associated with a lower rate of failure and minor ocular adverse effects.
Annual trends in atypical haemolytic uremic syndrome management in Japan and factors influencing early diagnosis and treatment: A retrospective study
Authors: TATEMATSU YOSHITAKA , Imaizumi Takahiro , Michihata Nobuaki , Kato Noritoshi , Kumazawa Ryosuke , Matsui Hiroki , Fushimi Kiyohide , Yasunaga Hideo , Maruyama Shoichi 
Published: December 2023

Abstract

Atypical haemolytic uremic syndrome (aHUS) is a rare disorder characterised by complement-mediated thrombotic microangiopathy (TMA). Despite existing clinical guidelines, early diagnosis and treatment of aHUS remain challenging. This study examined the annual trends in aHUS clinical practices in Japan and explored factors influencing early diagnosis and treatment. Using data from the 2011–2020 Diagnosis Procedure Combination database, a total of 3,096 cases with the HUS disease code were identified. Among them, 217 were confirmed as aHUS cases and received treatment with eculizumab or plasma exchange. Early initiation, defined as starting eculizumab or Plasma exchange within seven days of admission, was the focus of the study. The research revealed that over time, there were no significant changes in the number of aHUS diagnoses, cases treated with eculizumab, or early initiation cases. Compared to late initiation cases, early initiation cases underwent haemodialysis and had ADAMTS13 activity measured earlier, had shorter hospital stays, and lower hospitalization costs. In conclusion, this study did not find an increase in the number of newly diagnosed aHUS cases or early treatment initiation over time. Timely recognition of TMA, especially through the prompt measurement of ADAMTS13 activity, is crucial for identifying potential aHUS cases and initiating treatment promptly.
Prevalence of dyslipidemia and its correlates in first-episode drug-naive major depressive disorder patients with comorbid anxiety symptoms: a large-scale cross-sectional study
Authors: Zhou Hongying , Zhou Ni , Yuan Ze , Zhang Xiangyang 
Published: December 2023

Abstract
BACKGROUND: Studies before this have found that individuals diagnosed with major depressive disorder (MDD) often experience issues with dyslipidemia. Also, people with MDD suffer from anxiety symptoms. However, few studies have looked into what factors contribute to dyslipidemia in individuals with both MDD and anxiety symptoms. Therefore, our study aimed to understand how common dyslipidemia is and what factors might be connected to it in individuals experiencing their first-episode drug-naive (FEDN) MDD with anxiety symptoms (MDDA).
METHODS: A cumulative sample size of 1718 FEDN MDD patients was recruited. The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) positive subscale were the measures for the assessment of patients' mental states. Several metabolic panels were collected, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and thyroid hormone levels.
RESULTS: The reported incidence of dyslipidemia in MDDA patients was 91.67%, which was significantly above that of MDD patients who did not suffer from anxiety symptoms (85.47%). In comparison with MDDA patients without dyslipidemia, those patients with dyslipidemia had higher body mass index (BMI), systolic blood pressure (SBP) and diastolic blood pressure (DBP), they also had increased levels on the HAMD, HAMA, and PANSS positive subscale. Additionally, greater levels of TC, HDL-C, TG, LDL-C, thyroid stimulating hormone (TSH), and fasting blood glucose (FBG) were found. Furthermore, the combination of HAMD, TSH, SBP and DBP distinguished MDDA patients with dyslipidemia from those without dyslipidemia.
CONCLUSION: Our results suggested an increased incidence of dyslipidemia among MDDA patients. Various blood indicators and hormone levels were independently associated with dyslipidemia in MDDA patients. Furthermore, the combination of these factors may differentiate between MDDA patients with and without dyslipidemia.
Measuring the flight trajectory and speed of a free-flying moth on the basis of noise-reduced 3D point-cloud time series
Authors: Nishisue Koji , Sugiura Ryo , Nakano Ryo , Shibuya Kazuki , Fukuda Shinji 
Published: December 2023

Abstract

Pest management is essential in crop production; however, frequent application of chemical pesticides that are used as a main tool for pest control causes environmental issues and insecticide resistance in pests. To overcome these issues, laser zapping has been used to control insects such as cockroaches and mosquitoes. In Japan, laser zapping has been studied to physically control cotton leafworm,Spodoptera litura, which is nocturnal, has a high fecundity and some insecticide-resistant populations, and severely damages to a variety of crops. To regulate behaviors of adultS. lituraby laser zapping, its flight trajectory including flight speed must be identified and then predicted precisely under night conditions. Therefore, we aim to establish the automatic detection pipeline for flight trajectory based on point-cloud time series considering the factors reflecting noise data. In this study, the 3D point cloud data were obtained from the recorded disparity images under infrared lights in a low-lux condition. We removed the noise using multiple filters calculating background noise, the size of point cloud, the length of point-cloud time series, and linear SVM (support vector machine) for classifyingS. lituraand noise. To eliminate noisy flight trajectory data, we computed the voxel volume and directional angle of the 3D point-cloud time series, and then visually inspected and removed the noise data. Obtained 68 flight trajectories in total showed that mean flight speed of free-flyingS. liturawas 1.81 m/s and directional angle different between true and noise flight trajectories can be a good indicator for noise detection.
Transcriptome analysis proved that lncRNAs regulate rapeseed seedlings in responding to drought stress by coordinating the phytohormone signal transduction pathways
Authors: Tan Xiaoyu , Long Weihua , Ma Ni , Sang Shifei , Cai Shanya 
Published: December 2023

Abstract

The growth, yield, and seed quality of rapeseed are negatively affected by drought stress. Therefore, it is of great value to understand the molecular mechanism behind this phenomenon. In a previous study, long non-coding RNAs (lncRNAs) were found to play a key role in the response of rapeseed seedlings to drought stress. However, many questions remained unanswered. This study was the first to investigate the expression profile of lncRNAs not only under control and drought treatment, but also under the rehydration treatment. After identifying the differentially expressed (DE) lncRNAs, the comprehensive lncRNAs-engaged network with the co-expressed mRNAs in leaves under control, drought and rehydration was investigated. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of co-expressed mRNAs identified the most significant pathways related with plant hormones (expecially abscisic acid, auxin, cytokinins, and gibberellins) in the signal transduction. The genes, co-expressed with the most-enriched DE-lncRNAs, were considered as the most effective candidates in the water-loss and water-recovery processes, including protein phosphatase 2C (PP2C), ABRE-binding factors (ABFs), and SMALL AUXIN UP-REGULATED RNAs (SAURs). In summary, these analyses clearly demonstrated that DE-lncRNAs can act as a regulatory hub in plant-water interaction by controlling phytohormone signaling pathways and provided an alternative way to explore the complex mechanisms of drought tolerance in rapeseed.
Developing a method to rear Varroa destructor in vitro
Authors: Johnson Brynn L. , Prouty Cody , Jack Cameron J. , Stuhl Charles , Ellis James D. 
Published: December 2023

Abstract
Varroa destructor is a significant mite pest of western honey bees (Apis mellifera). Developing a method to rear and maintain populations of V. destructor in vitro would provide year-round access to the mites, allowing scientists to study their biology, behavior, and control more rapidly. In this study, we determined the impact of various rearing parameters on V. destructor survival and reproduction in vitro. This was done by collecting V. destructor from colonies, placing them in gelatin capsules containing honey bee larvae, and manipulating the following conditions experimentally: rearing temperature, colony source of honey bee larva, behavioral/developmental stages of V. destructor and honey bee larva, and mite:bee larva ratio. Varroa destructor survival was significantly impacted by temperature, colony source of larvae and mite behavioral stage. In addition, V. destructor reproduction was significantly impacted by mite: larva ratio, larval developmental stage, colony source of larva, and temperature. The following conditions optimized mite survival and reproduction in vitro: using a 4:1 mite:larva ratio, beginning the study with late stage uncapped larvae, using mites collected from adult bees, maintaining the rearing temperature at 34.5° C, and screening larval colony source. Ultimately, this research can be used to improve V. destructor in vitro rearing programs.
Use of Low Cost Near-Infrared Spectroscopy, to Predict Pasting Properties of High Quality Cassava Flour
Authors: Abubakar Mikidadi , Wasswa Peter , Masumba Esther , Ongom Patrick , Mkamilo Geoffrey , Kanju Edward , Abincha Wilfred , Edema Richard , Sichalwe Karoline , Tukamuhabwa Phinehas , Kayondo Siraj , Rabbi Ismail , Kulembeka Heneriko 
Published: December 2023

Abstract

Mobile near infrared spectroscopy (SCiO™) can offer quick, in-field phenotyping of cassava roots for pasting properties. However, validation is necessary to verify that reasonable expectations are established for the accuracy of a prediction model. In the context of an ongoing breeding effort, we investigated the use of an inexpensive, portable spectrometer that only records a portion (740–1070 nm) of the whole NIR spectrum to predict cassava pasting properties. Three machine-learning models, namely glmnet, lm, and gbm, implemented in the Caret package in R statistical program, were solely evaluated to approve one or two best models to move on with calibration and optimization. Based on calibration statistics (R2, RMSE and MAE), the best model was identified and further optimized. We found that model calibrations using glmnet provided the best model for breakdown viscosity, peak viscosity and pasting temperature. The glmnet model using the first derivative, peak viscosity had calibration and validation accuracy of R2 = 0.56 and R2 = 0.51 respectively while breakdown had calibration and validation accuracy of R2 = 0.66 and R2 = 0.66 respectively. We also found out that stacking of pre-treatments with Moving Average, Savitzky Golay, First Derivative, Second derivative and Standard Normal variate using glmnet model resulted in calibration and validation accuracy of R2 = 0.65 and R2 = 0.64 respectively for pasting temperature. The developed calibration model predicted the pasting properties of HQCF with sufficient accuracy. Therefore, SCiO™ can be reliably deployed in screening early-generation breeding materials for pasting properties.
Research on predicting alrm of Signaling Storm by hybrid LSTM-AM optimized with improved PSO
Authors: Tong Ying , Jia Xiang , Deng Yong , Liu Yang , Tong Jiangang , Liang Baolin 
Published: December 2023

Abstract
For the voice services under 5G, the prediction of the IMS signaling storm is the foundation for ensuring the stable operation of Voice over New Radio (VoNR) services and strengthening the intelligent management of 5G networks. Simultaneously, it is also an important approach for operators to enhance their core competitiveness. However, the IP Multimedia Subsystem (IMS) signaling storm prediction alarm function for live network systems is still not robust, with most attention being directed towards equipment fault detection and network element health monitoring. Given this limitation of the live network management system, a method combining 2 modules of prediction and judgment is proposed in this research to realize a more advanced prediction of IMS signaling storms. Among this proposed method, a new neurally network model named Trigonometric Particle Swarm Ptimization-Long Short Term Memory-Attention Mechanism (TRIGPSO-LSTM-AM) is constructed and served as the cornerstone of the method. Firstly, the LSTM-AM model, which combines temporal recurrent neural networks with attention mechanism, is established to predict the key index values of the IMS. At the same time, the traditional Particle Swarm Optimization (PSO) algorithm is improved, and a more intelligent particle swarm optimization algorithm based on trigonometric transformation, named TRIGPSO, is proposed to enhance the convergence of the prediction model. Then, an alarm judgment module is built, and the output of the prediction module is utilized as the input for this module. Clustering is achieved based on the KMeans algorithm, and each class is mapped to the alarm level, thereby informing the network management to execute the corresponding alarm operation. Finally, the effectiveness and rationality of the proposed method are validated through several groups of comparative experiments.
Medical and Psychological Consequences of War-Related Sexual Violence among Women and Girls in Tigray, Ethiopia
Authors: Fisseha Girmatsion , Adhanu Hadgay Hagos , Aregawi Abera Berhe , Wuneh Alem Desta , Tesfay Freweni , Lema Gebretsadik Kiros , Dimstu Balem , Teka Hale , Yemane Awol , Gidey Hagos , Gebreseassie Kibrom Berhanu , Hagos Tigist , Tareke Helen Bitew , W/gebriel Tensay Kahsay , Berhane Yemane , Ayele Brhane , Atsbaha Ataklti Hailu , Zegeye Teame , Redda Yaynshet Gebreyohannes , Hassen Abrahim , Godefay Hagos , Mulugeta Afework 
Published: December 2023

Abstract

Background
War-related sexual violence is becoming an increasing feature of conflict and security challenges and is used as a weapon of war to achieve military or political goals. It has tremendous negative short and long-term consequences for the victims, their families, and communities. Since the eruption of war in November 2020 in Tigray, many women reported sexual violence and the destruction of health facilities. Thus, this study aimed to assess the health consequences of sexual violence victims in severely war-affected areas of the Tigray region of Ethiopia.
Methods
The study employed mixed methods of both quantitative and qualitative study during the war in Tigray, Ethiopia. A total of 528 sexually abused women and girls were included in the quantitative study from a community survey conducted in August 2021. To support the quantitative study, six in-depth interviews with rape survivors were conducted to share their experiences. A standardized interviewer-administered questionnaire was used for the community survey and a semi-structured checklist recorded by audio was used for qualitative study. Descriptive statistics and the Pearson chi-square test were used to assess the relationship between health consequences, different socio-demographics, and types of sexual violence. Thematic analysis was performed using ATLAS ti version 7 after the recorded audios were transcribed.
Result
Most, 435 (82.4%) victims had been raped and 404 (76.5%) had experienced triple trauma burden of sexual, physical, and psychological violence. Most victims had experienced consequences ranging from mild (34.5%) to severe injuries (42.1%), mental health and behavioral problems (75.6%) like posttraumatic stress disorder (12.1%), stress (63.5%), anxiety (38.6%), depression (27.5%), sleeping disturbance (35.2%), nightmare (29.0), flashbacks and social isolation. More than one-fifth, (21.8%) of rape survivors experienced sexual and reproductive health problems such as exposure to STIs, unwanted pregnancy, abortion, and HIV. Survivors encountered the worst rape scenarios such as gang rape by troops and combatants.
Conclusion
Survivors experienced severe forms of physical injuries, posttraumatic stress disorder, and sexual and reproductive health problems. Humanitarian agencies and civic organizations need to provide immediate medical and psychological support to victims to reduce further health consequences and harm.
An Advanced Intrahepatic Cholangiocarcinoma Patient Benefits from Personalised Immunotherapy and FGFR2 Inhibiter
Authors: Zhu Sihui , Liu Chenxi , Jin Yunchen , Zhang Hailong , Zhou Mingzhen , Xu Chen , Shao Jie , Liu Qin , Wei Jia , Shen Jie , Liu Baorui 
Published: December 2023

Abstract
Advanced intrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignancy which shows poor response to first-line treatments including radiotherapy, chemotherapy and targeted therapy. Its prognosis is extremely poor, with an overall survival of less than one year. Individualised neoantigen vaccines have shown to be effective in boosting the immune response against tumours, and neoantigen-based peptide as well as DNA and dendritic cell vaccines are now under investigations in clinical trials. Here we reported a case of a patient with advanced ICC who progressed after receiving targeted combination immunotherapy after relapsing and received immunotherapy based on personalised neoantigen nanovaccine. This patient administered a neoantigen-based peptide nanovaccine customised according to her gene mutation spectrum after progression on first-line therapy. Clinical efficacy and anti-tumour immune responses were assessed by imaging, interferon-γ ELISPOT assay and intracellular cytokine staining. A specific tumour killing effect was effectively produced by the T cells mediated by neoantigen nanovaccine, and the response lasted up to 25 months. This provides a new possibility to treat advanced ICC with neoantigen-based immunotherapy.
The effect of daily usage of Listerine Cool Mint mouthwash on the oropharyngeal microbiome
Authors: Laumen J. G.E. , Dijck C , Manoharan-Basil S. S. , Block T , Abdellati S , Xavier B. B. , Malhotra-Kumar S , Kenyon Chris 
Published: December 2023

Abstract
Listerine is a bactericidal mouthwash used to prevent oral health problems such as dental plaque and gingivitis. It is unknown whether it promotes or undermines a healthy oral microbiome. We aimed to assess if daily usage of Listerine Cool Mint® influenced the composition of the pharyngeal microbiome. The current microbiome substudy is part of the PreGo trial conducted in 2019-2020, wherein sixty-four MSM taking HIV PrEP were enrolled. In this crossover trial, participants were received 3 months of daily Listerine followed by 3 months of placebo mouthwash or vice versa. Oropharyngeal swabs were taken at baseline and after 3 months use of each mouthwash. DNA was extracted for shotgun metagenomic sequencing (Illumina Inc.,). Non-host reads were taxonomically classified with MiniKraken and Bracken. The diversity indices alpha and beta diversity were compared between baseline and after each mouthwash use. Differentially abundant bacterial taxa were identified using ANOVA-Like Differential Expression analysis. Streptococcus was the most abundant genus in most samples (n=103, 61.7%) with a median relative abundance of 31.5% [IQR 20.6 to 44.8], followed by Prevotella (13.5%, [IQR 4.8 to 22.6]) and Veillonella (10.0%, [IQR 4.0 to 16.8]). Compared to baseline, the composition of the oral microbiome at the genus level (beta diversity) was significantly different after 3 months Listerine (P=0.006, pseudo-F = 2.29) or placebo (P=0.003, pseudo-F = 2.49, PERMANOVA) use. Fusobacterium nucleatum and Streptococcus anginosus were significantly more abundant after Listerine use compared to baseline. Listerine use was associated with an increased abundance of common oral opportunistic bacteria previously reported to be enriched in periodontal diseases, oesophageal and colorectal cancer, and systemic diseases. These findings suggest that the applications of Listerine mouthwash should be carefully considered.
Multiscale Modelling of the Poroviscoelastic Rheology of Cell Cytoplasm
Authors: Thekkethil Namshad , K\"{o}ry Jakub , Guo Ming , Stewart Peter S. , Hill Nicholas A. , Luo Xiaoyu 
Published: December 2023

Abstract

Eukaryotic cell rheology has important consequences for vital processes such as adhesion, migration, and differentiation. Experiments indicate that cell cytoplasm can exhibit both elastic and viscous characteristics in different regimes, while the transport of fluid (cytosol) through the cross-linked filamentous scaffold (cytoskeleton) is reminiscent of mass transfer by diffusion through a porous medium. To gain insights into this complex rheological behaviour, we construct a multi-scale computational model for the cell cytoplasm as a poroviscoelastic material formulated on the principles of nonlinear continuum mechanics, where we model the cytoplasm as a porous viscoelastic scaffold with an embedded viscous fluid flowing between the pores to model the cytosol. Baseline simulations (neglecting the viscosity of the cytosol) indicate that the system exhibits seven different regimes across the parameter space spanned by the viscoelastic relaxation timescale of the cytoskeleton and the poroelastic diffusion timescale; these regimes agree qualitatively with experimental measurements. Furthermore, the theoretical model also allows us to elucidate the additional role of pore fluid viscosity, which enters the system as a distinct viscous timescale. We show that increasing this viscous timescale hinders the passage of the pore fluid (reducing the poroelastic diffusion) and makes the cytoplasm rheology increasingly incompressible, shifting the phase boundaries between the regimes.