bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environment, Climate Change, Insecurity and World Peace: A Critical Examination of Selected African Literary Texts
Authors: Sikiru Adeyemi Ogundokun  , Waidi Adewale Akanji Osun  
Published: June 2023

The interest in African literary texts has increased significantly in recent times within the academic community. However, crucial issues such as climate change, environment, insecurity, and world peace have not received adequate attention from scholars, despite their relevance. This study aims to explore these topics in African literary texts of various genres by employing the ecocriticism of selected African texts as a theoretical framework and using content analysis as the primary methodology. The corpus of this study focuses on the works of Ramonu Sanusi (novel Un Nègre a violé une Blonde à Dallas), Niyi Osundare (poem “They Too Are the Earth”), David Rubadiri (poem “African Thundersorm”), and Ahmed Yerima (play Ipomu), all of whom have been selected for sharing the primary objective of this work - to shed light on the environmental realities of modern society by describing the rates of environmental and climate change and their adverse effects on humanity. Moreover, the authors emphasize the need for world peace to ensure global sustainable development. By critically analyzing the African literary texts, this research seeks to contribute to the academic understanding of these significant global issues and the critical role that literature can play in addressing them.
Keywords: African literature, climate change, Environment, Insecurity, World Peace.
Entrevista con Rafael Santandreu: “Desterrar la cultura clásica aumenta la neurosis general”
Authors: Laguna Mariscal Gabriel 
Published: June 2023

Interview with Spanish psychotherapist Rafael Santandreu, about various subject-matters: among them, his education, vocation, and professional career; the futility of progress; the relevance of Classical culture and philosophy; the desirability of a Cynical attitude for fighting social preconceptions; and the need for rationalizing in face of apparent misfortunes.
Keywords Rafael Santandreu, psychology, philosophy, Stoicism, education.
Dynamic docking assisted engineering of hydrolase for efficient PET depolymerization
Authors: Su Tianyuan , Zheng Yi , Li Qingbin , Liu Pan , Yuan Yingbo , Dian Longyang , Wang Qian , Liang Quanfeng , Qi Qingsheng 
Published: June 2023

Abstract
Poly(ethylene terephthalate) (PET) is the most abundant polyester plastic and is causing serious environmental pollution. Rapid biological depolymerization of PET waste at large scale requires powerful engineered enzymes with excellent performance. Here, we designed a computational strategy to analyze the ligand affinity energy of enzymes to PET chains by molecular docking with the dynamic protein conformations, named Affinity analysis based on Dynamic Docking (ADD). After three rounds of protein engineering assisted by ADD, we drastically enhanced the PET-degrading activity of leaf-branch-compost cutinase (LCC). The best variant LCC-A2 degraded >90% of the pretreated, post-consumer PET waste into corresponding monomers within 3.3 h, and over 99% of the products were terminal degradation products (terephthalic acid and ethylene glycol), representing the fastest PET degradation rate reported to date. Structural analysis revealed interesting features that improved the ligand affinity and catalytic performance. In conclusion, the proposed strategy and engineered variants represent a substantial advancement of the biological circular economy for PET.
Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential
Authors: Messerly Richard , Zhang Shuhao , Makoś Małgorzata , Jadrich Ryan , Kraka Elfi , Barros Kipton , Nebgen Benjamin , Tretiak Sergei , Isayev Olexandr , Lubbers Nicholas , Smith Justin 
Published: June 2023

Abstract
Reactive chemistry atomistic simulation has a broad range of applications from drug design to energy to materials discovery. Machine learning interatomic potentials (MLIPs) have become an efficient alternative to computationally expensive quantum chemistry simulations. In practice, developing reactive MLIPs requires prior knowledge of reaction networks to generate fitting data and refitting to extensive datasets for each new application. For this reason, many fields of chemistry would greatly benefit from a general reactive MLIP, i.e., an MLIP that is applicable to a broad range of reactive chemistry such that it can be applied to new systems without the need for retraining. In this work, we develop a general reactive MLIP through unbiased active learning with an atomic configuration sampler inspired by nanoreactor molecular dynamics. The resulting potential (ANI-1xnr) is then applied to study five distinct condensed-phase reactive chemistry systems: carbon solid-phase nucleation, graphene ring formation from acetylene, biofuel additives, combustion of methane and the spontaneous formation of glycine from early-earth small molecules. In all studies, ANI-1xnr closely matches experiment and/or previous studies using traditional model chemistry methods. As such, ANI-1xnr proves to be a highly general reactive MLIP for C, H, N, and O elements that does not need to be refit for each application, enabling high-throughput in silico reactive chemistry experimentation.
Improved metaheuristic based cluster scheduling for unmanned aerial vehicles
Authors: Mann Palvinder Singh , Panchal Shailesh D , Singh Satvir 
Published: June 2023

Abstract
Selection and scheduling of cluster head is a well known optimization problem in Unmanned aerial vehicles (UAVs), which affects overall network performance. Population-based metaheuristic particularly Artificial bee colony (ABC) has shown to be competitive over other metaheuristics for solving optimization problems in UAVs. However, its search equation contributes to its insufficiency due to poor exploitation phase and low convergence rate. This paper, presents an improved artificial bee colony (iABC) metaheuristic with an improved search equation, which will be able to search an optimal solution to improve its exploitation capabilities moreover, in order to increase the global convergence of the proposed metaheuristic, an improved approach for population sampling is introduced through Student's-t distribution. The proposed metaheuristic maintain a balance between exploration and exploitation search abilities with least memory requirements, with the use of first of its kind compact Student's-t distribution, which is particularly suitable for UAVs limited hardware environment. Further utilising the capabilities of the proposed metaheuristic, an improved artificial bee colony based clustering and scheduling (iABC-CS) scheme is introduced, to obtain optimal cluster heads (CHs) along with optimal CH scheduling in UAVs. Simulation results manifest that iABC-CS outperform over other well known clustering algorithms on the basis of packet delivery ratio, energy consumption, network lifetime and end to end delay.
Glutamine/Serine/Glycine concentration related KDM4A expression regulated cisplatin sensitivity in gastric cancer cells
Authors: Xu wenxia , Fu junhao , Ni yuqi , Hu yuqing , Tang wanfeng , Fu jianfei , Wang yue 
Published: June 2023

Abstract

Gastric cancer is a high incidence of digestive system tumors, and the existence of drug resistance reduces the sensitivity to chemotherapy. Nutritional therapy can significantly improve the prognosis of tumor patients. Dietary amino acids play an important regulatory role in tumor gene expression, epigenetics, signal transduction, metabolic remodeling and other processes. This study found that glutamine, glycine and serine could significantly regulate the sensitivity of gastric cancer cells to cisplatin by screening 20 amino acids. When the concentration of glutamine, glycine and serine decreased, KDM4A underwent acetylation to maintain protein stability, activate DNA repair ability, and reduce the sensitivity of gastric cancer cells to chemotherapy. Conversely, when the concentration of glutamine, glycine and serine increased, ubiquitination degradation of KDM4A occurred, which improved the sensitivity of gastric cancer cells to chemotherapy. Our study systematically analyzed the role and mechanism of amino acid nutrition in regulating chemotherapy sensitivity of gastric cancer, thus providing scientific basis for expanding the value of tumor nutrition therapy.
Machine Learning Methods for differentiation of Primary Central Nervous System Lymphoma and Glioma
Authors: Wang Haitao , Lu Guang , Geng Huayun , Wu Xiaoxiong , Zhang Yuxin , Zhou Wei , Mou Weiwei 
Published: June 2023

Abstract
Purpose and Background. Accurate differentiation of primary central nervous system lymphoma (PCNSL) and glioma on Magnetic Resonance Imaging (MRI) is an important task because the two diseases have similar imaging features, but treatment options differ vastly. This purpose of this study was to develop various machine learning methods based on radiomics features extracted from contrast-enhanced T1-weighted, T2 and the two modalities fusion to predict PCNSL and glioma types and compare the performance of different models.
Materials and Methods. A total of 82 patients from five Chinese medical centers with pathologically confirmed PCNSL and glioma were analyzed retrospectively, including 38 PCNSL and 44 glioma. Region of interest (ROI) was manually segmented on contrast-enhanced T1-weighted and T2 scans. 572 radiomics features of each patient on each modality were extracted. We explored six machine learning methods on single modality and multi-modality fusion radiomics features. The area under the receiver operating characteristic curve (AUC) and accuracy (ACC) were used to evaluate different models.
Results The cohort was split into a training (57, 70% patients) and validation cohort (25,30% patients) according to stratified sampling strategy. For the T1-weighted images,
among all models, the KNN performed best, with an accuracy of 0.947, 0.880, sensitivity of 0.885, 0.833, specificity of 1.00,0.909, and AUC of 0.993, 0.949 in the training and validation cohort, respectively. For the T2 images, among all models, the SVM performed best, with an accuracy of 0.982,0.880, sensitivity of 1.00,0.833, specificity of 0.978, 0.923, and AUC of 0.981, 0.917 in the training and validation cohort, respectively. The multi-modality fusion model achieved an accuracy of 1.000, 0.920, sensitivity of 1.00, 1.00, specificity of 1.00, 0.846, AUC of 1.00,0.994 in the training and validation cohort, which was significantly better than the single modality models.
Conclusion The established machine learning prediction models based on single or multi-modality radiomics features were feasible and achieved high performance in the PCNSL and glioma differentiation, which showed the potential to help clinical decision-making.
Signal Improved ultra-Fast Light-sheet Microscope (SIFT) for large tissue imaging
Authors: Prince Md Nasful Huda , Garcia Benjamin , Henn Cory , Yi Yating , Susaki Etsuo , Watakabe Yuki , Nemoto Tomomi , Lidke Keith A. , Zhao Hu , Remiro Irene Salinas , Liu Sheng , Chakraborty Tonmoy 
Published: June 2023

Abstract
Light-sheet fluorescence microscopy (LSFM) in conjunction with tissue clearing techniques enables morphological investigation of large tissues faster and with excellent optical sectioning. Recently, cleared tissue axially swept light-sheet microscope (ctASLM) demonstrated three-dimensional isotropic resolution in millimeter-scaled tissues. But ASLM based microscopes suffer from low detection signal and slow imaging speed. Here we report a simple and efficient imaging platform that employs precise control of two fixed distant light-sheet foci to carry out ASLM. This allowed us to carry out full field of view (FOV) imaging at 40 frames per second (fps) which is a four-fold improvement compared to the current state-of-the-art. In addition, in a particular frame rate, our method doubles the signal compared to the current ASLM technique. To augment the overall imaging performance, we also developed a deep learning based tissue information classifier that enables faster determination of tissue boundary. We demonstrated the performance of our imaging pipeline on various cleared tissue samples and demonstrated its robustness over a wide range of clearing protocols.
200-mm wafer scale integration of high performance polycrystalline MoS2 thin film transistors
Authors: Byun Kyung-Eun , Kwon Junyoung , Seol Minsu , Yoo Joungeun , Ryu Huije , Ko Dong-Su , Lee Min-Hyun , Yoo Min Seok , Lee Gwan-Hyoung , Shin Hyeon-Jin , Kim Jeehwan , Lee Eun-Kyu 
Published: June 2023

Abstract

The demand for high-performance thin-film transistors (TFTs) has increased significantly due to the increasing functionalities of electronic devices, such as displays, sensors, and computing platforms. The requirements for TFTs have also become more stringent because future electronic products necessitate denser device arrays, lower power consumption, higher mechanical flexibility, and lower-temperature processing without compromising their performance. To meet these demands, two-dimensional (2D) semiconductors are an ideal solution due to their excellent scalability, transferability, atomically thin thickness, and relatively high carrier mobility. Nevertheless, studies on 2D materials have been limited to small laboratory-scale demonstrations, focusing on proof-of-concept devices with single-crystalline 2D films. In this study, we present industrialization strategies specifically designed for polycrystalline MoS2 TFTs on a 200-mm wafer scale. We achieved nearly 100% device yield across the wafer by processing it in one of the Samsung's 200-mm fabrication facilities. We find that the metal-semiconductor junction in polycrystalline 2D MoS2 is fundamentally different from that in its single-crystalline counterpart. Thus, we redesigned the process flow to nearly eliminate the Schottky barrier height at the MoS2-metal contact, yielding excellent FET performance equivalent to that of state-of-the-art FETs fabricated from single-crystalline flakes.
A study of various factors affecting Activities of Daily Living and Instrumental Activities of Daily Living in the visually impaired
Authors: KIM Ungsoo , Heo Jung Sun , Lim Yaeji , Kim Chanho 
Published: June 2023

Abstract
Purpose
Visual impairment patients suffer when performing various physical activities. However, studies investigating factors affecting their practical daily activities are lacking. Therefore, we analyzed how the Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) change depending on the level of visual impairment and which factors affect the ADL and IADL of the visually impaired based on big data.
Methods
The 2020 annual report on disabled people in Korea published by the Korea Institute for Health and Social Affairs was investigated. Using 771 data samples, we evaluated the demographics, degree of visual impairment, duration of illness, various overlapping disabilities, and systemic diseases. We analyzed the effect of ADL and IADL to various factors related to visual impairment. Utilizing R statistical software, technical statistics were conducted.
Main outcomes
Association between degree of visual impairment and activities of daily living.
Results
In 2020, the total number of visually impaired people was 252,702, the third largest among registered disabled people in Korea. In terms of sex, the age groups were similar, but the percentage of visually impaired women in their 80s was about twice that of men. The more severe the visual impairment, the harder it was to perform activities of daily life except for swallowing and changing position while lying down. Differences in ADL and IADL according to age of onset of visual impairment were not significantly different except for changing position while lying down (p = 0.035). Duration of illness did not affect the ADL and IADL. The most common combined disability was hearing problems. ADL and IADL tended to worsen as patients had more chronic illnesses. In multivariate analysis, the degree of visual impairment, age of onset, and hepatitis B among systemic diseases were found to affect ADL and IADL.
Conclusions and Relevance
The degree of visual impairment and accompanying systemic diseases were significantly related components. By analyzing detailed factors related to the daily activities of the visually impaired, we can understand their lives in more detail and therefore provide more practical support.
Does Ovarian Tumor Size Predict Endometrial Cancer in Patient with Ovarian Adult Granulosa Cell Tumors?
Authors: Tokalioglu Abdurrahman Alp , Oktar Okan , Sahin Mustafa , Ozturk Cagatayhan , Erdogan Ozgur , Yildirim Hande Esra Koca , Ucar Yesim , Kilic Fatih , Ersak Burak , Yalcin Necim , Ozmen Fatma , Alci Aysun , Bas Sevda , Gorgulu Goksen , Selcuk Ilker , Ucar Gokhan , Kocak Ozgur , Cakir Caner , Kilic Cigdem , Comert Gunsu Kimyon , Ureyen Isin , Toptas Tayfun , Narin Mehmet Ali , Tasci Tolga , Taskin Salih , Boran Nurettin , Ozdal Bulent , Sanci Muzaffer , Uncu Dogan , Korkmaz Vakkas , Tekin Ozlem Moraloglu , Ustun Yaprak , Ortac Fırat , Turan Taner 
Published: June 2023

Abstract
Objective: The main feature of adult granulosa cell tumors (AGCT) is their capacity to secrete hormones, with nearly all of them capable of synthesizing estradiol. Endometrial pathology is caused by granulosa cell-produced estrogen exposure. The primary goal of this study is to identify endometrial pathologies, particularly the endometrial cancer, in AGCT patients who had undergone hysterectomy. The secondary objective of the study is to define the factors that predict endometrial cancer in AGCT.
Materials and Methods: The study cohort was formed with 316 AGCT patients from ten tertiary gynecological oncology centers. Surgery for AGCT consisted of bilateral salpingo-oophorectomy, hysterectomy, peritoneal cytology, omentectomy, excision of any suspicious lesion. Endometrial hyperplasia was categorized as simple hyperplasia without atypia, complex hyperplasia without atypia, complex hyperplasia with atypia or endometrial intraepithelial neoplasia (EIN). The median tumor size value was used to define the relationship between tumor size and endometrial cancer. The relationship of each value with endometrial cancer was evaluated.
Results: EIN or hyperplasia with complex atypia was detected in 7.7% of patients and endometrial cancer in 3.2% of patients. The relationship between tumor size and endometrial cancer was evaluated by taking the tumor size as a cut-off value of 150 mm. Therefore, tumor size ≤150 mm four (3.2%) and >150 mm four (12.1%) patients had endometrial cancer (p=0.036). Tumor size was statistically significant in relation to endometrial cancer in menopausal AGCT patients.
Conclusion: Our present study determined that 7.3% of patients had complex hyperplasia with atypia or EIN and 3.1% of patients had endometrial carcinoma. During the menopausal period, endometrial cancer risk was 4.5%. The study revealed that, the likelihood of developing endometrial cancer increased to 12% from %3.2 when the size of the tumor was >150 mm in menopausal patients.
Placental growth factor as a predictive marker of preeclampsia in twin pregnancy
Authors: Qi Guijie , Yao Ling , Liu Zhiming , Guo Wanru , Liu Heng , Zhang Jinghua 
Published: June 2023

Abstract
Background: Placental growth factor (PLGF) has been reported to predict the absence of preeclampsia (PE) in singleton pregnancies. Thus, this study aims to evaluate the predictive value of the PLGF in twin pregnancies.
Methods: Twin pregnancy with clinically suspected PE (24 weeks 0 days to 36 weeks 6 days of gestation) was enrolled in this study. The threshold of PLGF was determined on the basis of a receiver-operating characteristic curve to predict PE.
Results: A cutoff value of 215 pg/mL for PLGF indicates a good predictive performance for PE. An area under the curve of 0.863 with 86% sensitivity and 80% specificity was also obtained.
Conclusion: Effective screening for PE can be provided by the PLGF assay in twin pregnancies with clinically suspected PE.
An in vivo genome-wide CRISPR-Cas9 screen identifies FER as a tumor suppressor inhibiting the oncogenic transformation
Authors: Wang Jiaqi , Wang Fengsheng , Zhang Junlei , Dong Yutong , Wang Jiangjun , Yu Meng , Xu Yixiao , Liu Lianlian , Cheng Yuda , Yang Ran , Zhang Chen , Yang Yi , Yang Wubin , Wang Jiali , Chen Guangxing , Huang Yi , Tian Yanping , Jian Rui , Ni Bing , Wu Wei , Ruan Yan 
Published: June 2023

Abstract
Background
Tumorigenesis is a complex and multistep process characterized by the progressive acquisition of various hallmarks, including unlimited proliferation, resistance to apoptosis, and increased invasiveness and metastasis. However, the molecular mechanisms underlying tumorigenesis remain poorly understood.
Methods
An in vivo genome-wide CRISPR–Cas9 screen was employed to identify tumor suppressor genes (TSG). The expression correlation analysis for candidate TSGs was performed in normal and cancer cells using TCGA database. To evaluate the role of FER in tumorigenesis, we firstly used publicly single-cell RNA sequencing data to investigate the association of FER expression and normal cell malignant transformation. Next, we established FER-knockout and -knockdown models in BEAS-2B and MCF10A cell lines. Colony formation assay, cell proliferation assay, EdU assay and apoptosis assay were conducted to determine the role of FER in tumorigenesis. Then RNA-seq was performed to explore the mechanism underlying the role of FER in inhibiting tumorigenesis. Additionally, Pan-Cancer analysis was used to analysis the role of FER in tumor progression.
Results
In our CRISPR–Cas9 screen, we identified 20 candidate genes, among which FER exhibited the strongest negative correlation with tumorigenesis. Normal cells with low FER expression exhibited elevated malignant transformation potential and stemness properties. FER knockout promoted the tumorigenesis of differentiated epithelial cells by reprogramming them into a cancer stem cell (CSC)-like state, characterized by high colony-forming efficiency and suspension growth ability, increased metabolic activity, dedifferentiation properties, and immune evasion. Furthermore, tumors with low FER expression exhibited poor prognosis and a noticeable CSC-like state.
Conclusion
Taken together, our findings not only provide insights into the essential role of FER as a stemness barrier in malignant cells during tumor initiation and progression but also highlight its potential as a target for future clinical diagnosis.
Improved correlation between penetration tests and electrical resistivity
Authors: Ibanez S. J. , López-Ausín V. , Porres J. A. , Espinosa A. B. , Ortiz-Palacio S. , Garcia L. M. 
Published: June 2023

Abstract
A theoretical multivariate study was conducted in order to formulate an expression that relates electrical resistivity to the number of blows in the Dynamic Probing Super Heavy test. Improving further recent studies, this new expression shows a relatively good correlation between these two variables, enhanced by the multivariate analysis. It implies that robust correlations may only be drawn locally for specific field site, where the rest of the involved variables remain constant. In the search for a more general correlation, Electrical Resistivity Tomography and Dynamic Probing Super Heavy tests were performed to measure resistivity and soil resistance simultaneously at different field sites, in order to verify the results of the multivariate theoretical study. The results show that there is a qualitative relationship between these values but a quantitative relationship is only possible at the same field site, which coincides with the results of the theoretical study.