bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vocabulary learning strategies for vocabulary learning in literary texts
Authors: Hakem Hadia 
Published: November 2022

Literary texts are made up of lexis which enriches the beauty of scenes described or narrated. This makes them overloaded with vocabulary, sometimes, even daunting learners, particularly foreign language learners. Teachers of literature in an EFL classroom need to consider the difficulty of grasping large amounts of new words. To this end, it is necessary to teach the learners ways of learning vocabulary, by introducing vocabulary learning strategies to aid learners' grasp and retaining. This study aims to describe the application of Vocabulary Learning Strategy (VLS) in an EFL classroom and more precisely with a literary course. In this descriptive paper, a literature review on vocabulary learning strategies will be presented introducing their taxonomies and their importance in an EFL context. In addition, a framework for training learners to use these strategies will be described concerning a short story.
Keywords: literary texts; memory strategies; vocabulary; vocabulary learning strategies.
Reading Anxiety Among Junior High School Students in Mataram: A Survey Study
Authors: Kharismanto Arif Nugroho , Farani Rizki 
Published: November 2022

This study aims to identify reading anxiety among junior high school students. The research design employed a quantitative approach in the form of a survey study. There were 80 respondents who were willing to participate in this study. The respondents were students from one of junior high schools in Mataram, Indonesia. All respondents were students from grades 8 and 9. To collect the data, this study adapted a questionnaire from Ahmad et.al. (2013) which consists of five domains of reading anxiety, i.e., (1) lack of vocabulary, (2) unfamiliar topic, (3) unfamiliar culture, (4) afraid of making errors, and (5) worry about reading effects. Based on the results, the statement with the highest score is “I enjoy reading a text in English text in English when I know its translation” (M=4.15; SD=.730). Meanwhile, the statement with the lowest score is “In reading aloud in the class I do not understand the text even though it is easy” (M=3.00; SD=1.055). The data imply that the most significant factor in students’ reading anxiety is lack of vocabulary and the least factor is worrying about reading effects.
Fikih Perempuan Progresif
Authors: Fadhilah Eva , Yusdani  
Published: November 2022

Sampai saat ini posisi perempuan dalam panggung sejarah masih minor dan dipandang negatif oleh struktur agama, budaya, praktek, dan peradaban. Banyak kalangan yang menyebutkan bahwa perempuan adalah makhluk yang lemah baik secara fisik maupun psikis. Anggapan itu kemudian diwariskan secara turun-temurun pada anak cucu yang menyebabkan pelabelan dan perlakuan tertentu bagi perempuan. Sehingga citra perempuan, dengan berbagai aspek negatifnya, mendarah daging seiring dengan sejarah manusia dan kemanusiaan itu sendiri. Penelitian ini bermaksud mengkaji pandangan Fikih terhadap eksistensi dan hak-hak perempuan khususnya di era modern dengan terlebih dahulu memahami fikih sebagai produk ilmu yang bersifat relative sehingga terbuka ruang diskusi yang luas terhadap fikih itu sendiri. Metodologi yang digunakan dalam penelitian ini adalah deksriptif kualitatif dengan tujuan mengangkat pentingnya perumusan ulang sejumlah hokum dalam fikih terkait hak-hak perempuan. Pendekatan progresif yang digunakan meliputi pendekatan normative, sosiologis, dan historis. Hal ini penting dilakukan guna mendapatkan hasil yang seobyektif mungkin terkait hukum fikih kontemporer terhadap hak perempuan. Hasil dari penelitian ini membuktikan bahwa Islam adalah agama rahmah (QS.Al-Anbiya’:107) yang tidak pernah mendiskriminasi kaum perempuan. Fikih dalam kapasitasnya sebagai produk ilmu bisa terus dikaji dalam rangka memenuhi hajat masyarakat khususnya hak-hak kaum perempuan yang selama ini masih sering dinafikan. Fikih Perempuan progresif hadir sebagai upaya pemenuhan dari hak-hak yang selama ini tidak didapatkan kaum perempuan.
Pandangan Keislaman Mahasiswa Universitas Islam Indonesia Dalam Kajian Rutin Di Masjid Ulil Albab
Authors: Muzaki Ahmad , Sari Yesi Wening , Safitri Edi 
Published: November 2022

Keberagaman masyarakat Indonesia adalah hal yang sudah terjadi sejak awal kemerdekaan, baik ras, suku bahkan agama. Islam adalah agama mayoritas yang dianut oleh bangsa Indonesia, Islam tersebar di Indonesia di Indonesia dengan cara santun dan damai dengan mangkolaborasikan budaya dan kesenian yang sudah ada dengan agama sebagai landasannya. pada era ini penyebaran agama Islam dan pemahamannya banyak ragam dan corak pemikiran, ada yang Eksklusif, Inklusif dan Liberal. Pola pemikiran keIslaman ini tidak hanya dimiliki oleh para pendakwah, akan tetapi mahasiswa sebagai agen perubahan pun memiliki beragam corak pemikiran, bahkan corak pemikiran tersebut ada yang mereka bentuk ketika berada di dunia kampus, terutama mahasiswa universitas Islam Indonesia sebagai kampus yang menjunjung tinggi konsep Islam Rahmatan Lil Alamin. Dengan meneliti pandangan keIslaman mahasiswa Universitas Islam Indonesia dalam kajian rutin di Masjid Ulil Albab dapat memberikan gambaran terhadap pengurus takmis masjid ulil albab, tenaga pendidik dan kependidikan UII agar mengetahui pendangan keIslaman mahasiswa yang diperoleh dari kajian di masjid ulil albab. Penelitian ini menggunakan metode Deskriptif Kuantitatif dengan proses pengambilan data menggunakan wawancara terstruktur yang telah dipersiapkan seluruh pertanyaan tertulis sebanyak 15 butir pertanyaan dan dibagikan kepada 40 narasumber. Dalam penelitian ini setelah memetakan corak pemikiran keagamaan maka menghasilkan data hasil yang memiliki tingkat pemahaman Eksklusivisme tinggi 27%, eksklusivisme rendah 30,83%, Inklusivisme rendah 26,33%, Inklusivisme tinggi 15%. Dengan hasil ini dapat disimpulkan bahwa mayoritas memiliki corak pemikiran eksklusivisme rendah dengan kadar toleransi kepada perbedaan masih sedikit.
The COMFORT Trial: A randomised control trial comparing group-based COMpassion FOcused Therapy and breathing pattern ReTraining with Treatment As Usual on the psychological functioning of patients diagnosed with cancer recurrence during COVID.
Authors: Lynch Sinead , Lowry Damien , Finnerty Clodagh , O'Meara Yvonne , Brennan Donal 
Published: November 2022

Abstract

Background

A cancer diagnosis is a known precipitant of psychological distress, with fear of recurrence being a well-documented distressing consequence of cancer. Cancer recurrence often results in an additional psychological burden, which may exacerbated as a result of the COVID-19 pandemic.

Methods

This is a single-centre, prospective, randomised controlled trial. Patients identified as having experienced cancer recurrence since March 2020 (the onset of COVID-19 pandemic in Ireland) will be screened for participation. Eligible, consenting candidates who score 4 or higher on the Distress Thermometer will be enrolled into the study. Participants will be randomly allocated to receive either a 6-week, group-based, online, Compassion Focussed Therapy and Breathing Pattern Retraining intervention or the control arm. Those in the control arm will all be offered the group intervention after the 18-week study period. The primary outcome is the Distress Thermometer score at 18-weeks post-baseline though secondary outcomes will include measures of mood, traumatic distress and mental adjustment to cancer.

Discussion

To our knowledge, this protocol describes the first RCT which directly examines the effect of a group-based psychological intervention on Irish patients experiencing cancer recurrence in the context of COVID-19. The outcome of this trial is likely to be twofold: It will determine if the psychological intervention achieves its primary objective of distress amelioration three months post-intervention; and to establish the feasibility of delivering this intervention in a virtual format.

Trial registration

Trial registration: ClinicalTrials.gov NCT05518591. Registered on 25 August 2022. All items from the World Health Organisation Trial Registration Data set have been included.
DMA2022 Dynamic resistance and energy absorption of sandwich beam with based on micro-topology optimization with maximum shear modulus
Authors: Li Shiqiang , Li Yuwei , Ma Xiaomin , Fang Jianguang , Liu Zhifang , Wang Zhihua 
Published: November 2022

Abstract

Based on the mechanical characteristics of the core layer, which withstands the shear stress and deformation of a sandwich beam, a topology optimization framework based on the bi-directional evolutionary structural optimization method is proposed to optimize the core layer composed of a periodic base cell with extreme shear stiffness. The effects of the volume fraction, filter radius, and initial periodic base cell (PBC) aspect ratio on the micro-topology of the core and the dynamic response process, core compression, and energy absorption capacity of the sandwich beams under blast impact loading were analyzed by the finite element method. The results demonstrated that the over-pressure action stage was coupled with the core compression stage. Under the same loading and mass per unit area, the sandwich beam with a 20% volume fraction core layer had the best blast resistance. The filter radius has a slight effect on the shear stiffness and blast resistances of the sandwich beams, but increasing the filter radius could slightly improve the bending stiffness. Upon changing the initial PBC aspect ratio, there are three methods for PBC evolution: the first is to change the angle between the adjacent bars, the second is to further form holes in the bars, and the third is to combine the first two methods. However, not all three methods can improve the energy absorption capacity of the structure. Changing the aspect ratio of the PBC arbitrarily may lead to worse results. More detailed studies are necessary if further optimization is to be achieved.
Anti-CD21 Chimeric Antigen Receptor T cells for the Treatment of T Cell Acute Lymphoblastic Leukemia
Authors: Maciocia Nicola , Burley Amy , Hoekx Malika , Nannini Francesco , Wawrzyniecka Patrycja , Karpanasamy Thaneswari , Lee Lydia , Ferrari Mathieu , Marafioti Teresa , Gritti Giuseppe , Onuoha Shimobi , O'Connor David , Mansour Marc , Khwaja Asim , Pule Martin , Maciocia Paul 
Published: November 2022

Abstract
Relapsed/refractory (R/r) T cell acute lymphoblastic leukemia (T-ALL) has a dismal prognosis, with an unmet need for effective novel therapies. The successes seen in chimeric antigen receptor (CAR)-T cell therapy for B-ALL have yet to be fully translated to T-ALL. Most strategies have targeted pan-T antigens (CD7, CD5) but these may be limited by T cell aplasia and fratricide, requiring elimination of CAR-T antigen expression during manufacture and salvage hematopoietic stem cell transplantation (HSCT). Here, we describe CD21 as a novel immunotherapeutic strategy for the treatment of T-ALL. CD21 is largely confined to malignant T cells with expression in 57% of diagnostic T-ALL but only on a minor fraction of mature T cells (10%). While anti-CD21 CAR-T targeting membrane distal epitopes were ineffective, CAR-T cells utilising a novel Fab-CAR architecture and binding to membrane proximal epitopes showed no fratricide and were potent against low antigen density cell line and patient-derived xenograft models of T-ALL in vitro and in vivo. Further, we showed that CD21 expression in T-ALL can be upregulated by inhibition of the PI3K/ axis. CD21 is a novel target for CAR-T cell therapy in T-ALL, avoiding the fratricide and T cell aplasia seen with many T-ALL CAR-T strategies.
Vibrations of a dual-rotor system in aero-engine induced by the support misalignment
Authors: Ma Pingping , Han Qingkai , Lin Jinshan , Dong Yuehui 
Published: November 2022

Abstract
In this paper, an analytical model of rotor-bearing-rotor coupling system is established for aero-engine from the Lagrange equation, based on the dynamics theory of the dual-rotor system and combined with its stiffness, damping and misalignment characteristics. In the model, the misalignment fault simulation method is introduced. The coupling effect between the low-pressure rotor and high-pressure rotor and the influence of misalignment of the support on low-pressure coupling are considered. The vibration characteristics of the dual-rotor system with the misalignment fault of the low-pressure turbine rear support is studied. The time-domain responses, the frequency spectra, and the shaft-center trajectory of the dual-rotor system with different misalignment are obtained. The influence of unbalance on the vibration characteristics of the low-pressure rotor and the high-pressure rotor with misalignment fault is analyzed. Finally, test verification is carried out by the designed dual-rotor test rig. The experimental results are consistent with the analytical results, which confirm the feasibility of the established model and the simulation method in this paper. The results may provide a theoretical basis for research on the misalignment fault in aero-engine dual-rotor systems.
Metabolite profiling and transcriptome analysis explains difference in accumulation of bioactive constituents in Taxilli Herba from different hosts
Authors: Yuan Jiahuan , Wu Nan , Cai Zhichen , Chen Cuihua , Zhou Yongyi , Chen Haijie , Xue Jia , Li Li , Liu Xunhong , Wang Wenxin , Cheng Jianming 
Published: November 2022

Abstract
Background:Taxilli Herba (TH) is a semi-parasitic therapeutic herb and the host plant is a key factor affecting its quality. Morus alba L. (SS) and Liquidambar formosana Hance (FXS) are the two most frequent hosts. The purpose of this study was to elucidate the underlying molecular mechanism causing the variation in the accumulation of bioactive constituents in TH from SS and FXS.
Results:In this paper, 3319 differentially expressed genes (DEGs) comprising the transcription factor families AP2/ERF and MYB super_family were identified. In addition, 81 compounds were identified and their relative levels were compared between the SS and FXS groups using data from the ultra-fast liquid chromatography coupled with triple quadrupole-time of flight tandem mass spectrometry (UFLC-Triple TOF-MS/MS) analysis. Putative biosynthesis networks of flavonoid and phenylpropanoid were created combined with structural genes. The expression patterns of genes were mostly consistent with the variation of bioactive constituents in TH. Notably, the expression trend of UDP-glycosyltransferase genes in TH suggested that postmodification of glycosyltransferase may participate in downstream flavonoid synthesis.
Conclusions:The findings of this work would shed light on the relationship between gene regulation and the flavonoid and phenylpropanoid biosynthesis in TH, providing fundamental information on the difference in molecular mechanisms for the quality formation of TH from various hosts.
Microbiota-modulated spermine promotes brain metastasis in non-small cell lung cancer by regulating microglia M2 polarization via the STAT3 pathway
Authors: li huanhuan , Liu Lichao , Bin Yawen , Zeng Hao , Wang Jiaojiao , Zhang Ruiguang , Tong Fan , Yang Nong , Dong xiaorong 
Published: November 2022

Abstract
Brain metastasis (BM) is associated with high mortality in patients with non-small cell lung cancer (NSCLC). Alterations in the gut microbiota have been implicated in modulation of brain disorders through the gut-brain-axis (GBA). However, the underlying mechanism by which the gut microbiota affects the development of BM in NSCLC remains largely unknown. In patients, we identified 16 genera of differential bacteria positively or negatively correlated with BM in NSCLC patients, as represented by Klebsiella, unclassified_f_Enterobacteriaceae and Alistipes by 16S rRNA gene sequencing. In addition, untargeted metabolomics (LC-MS/MS and GC/MS) identified 76 metabolites, that were associated with BM. The combination of intestinimonas and spermine was considered a potential marker for the diagnosis of BM in NSCLC. Moreover, the plasma metabolite spermine enhanced BM by promoting M2 polarization of microglia via activation of the signal transducer and activator of transcription 3 (STAT3) signaling pathway in vivo and in vitro, suppressing innate immune function, which in turn promoted tumor progression. Overall, our study demonstrated the composition of both the gut microbiota and metabolites changed significantly between groups, and revealed that metabolite spermine promotes BM by skewing the polarity of M2 microglia by activating STAT3 signals. Our results provide a novel perspective regarding host-gut microbiota interplay in BM of NSCLC and highlight a potential risk of spermine in promoting BM.
A literature review of methods for assessment of reproducibility in science
Authors: Nordling Torbjörn , Peralta Tomas Melo 
Published: November 2022

Abstract

Introduction: In response to the US Congress petition, the National Academies of Sciences, Engineering, and Medicine investigated the status of reproducibility and replicability in science. A piece of work is reproducible if the same results can be obtained while following the methods under the same conditions and using the same data. Unavailable data, missing code, and unclear or incomplete method descriptions are common reasons for failure to reproduce results.
Objectives: The motivation behind this review is to investigate the current methods for reproducibility assessment and analyze their strengths and weaknesses so that we can determine where there is room for improvement.
Methods: We followed the PRISMA 2020 standard and conducted a literature review to find the current methods to assess the reproducibility of scientific articles. We made use of three databases for our search: Web of Science, Scopus, and Engineering Village. Our criteria to find relevant articles was to look for methods, algorithms, or techniques to evaluate, assess, or predict reproducibility in science. We discarded methods that were specific to a single study, or that could not be adapted to scientific articles in general.
Results: We found ten articles describing methods to evaluate reproducibility, and classified them as either a prediction market, a survey, a machine learning algorithm, or a numerical method. A prediction market requires participants to bet on the reproducibility of a study. The surveys are simple and straightforward, but their performance has not been assessed rigorously. Two types of machine learning methods have been applied: handpicked features and natural language processing.
Conclusion: While the machine learning methods are promising because they can be scaled to reduce time and cost for researchers, none of the models reviewed achieved an accuracy above 75%. Given the prominence of transformer models for state-of-the-art natural language processing (NLP) tasks, we believe a transformer model can achieve better accuracy.
Sentiment Analysis of Text to Speech with Emotion
Authors: Shunmugam Arun , Soundar K. Ruba 
Published: November 2022

Abstract
In sentiment analysis, the most accepted technique in statistical learning approaches is Bag-of-words (BOW). Though BOW is widely accepted technique, the elementary deficiencies in treating the polarity shift problem restrict the performance of BOW. In order to address this problem a model called Multiple sentiment analysis (MSA) for sentiment classification is proposed in this paper. For each training and test review a novel data expansion method by creating a sentiment reversed review is first introduced. To study a sentiment classifier, original as well as reversed training reviews are used in pairs. For this purpose, a multi-mood training algorithm is proposed. A multiple prediction algorithm is also proposed in order to classify test reviews with the consideration of two sides of one review.
Pan-cancer analyses confirmed the cuproptosis-related gene LIPT1 as an immunotherapy predictor and prognostic biomarker
Authors: Yang Peipei , Li Ye , Huang Wenjie , Song Siyuan , Gu Peixin , Zhou Jiayu , Liu Jiatong , Gu Haoqing , Li Jingzhan , Qi Xiafei , Shu Peng 
Published: November 2022

Abstract
Recent studies have shown that Lipoyltransferase 1 (LIPT1) is a cuproptosis-key gene that plays a critical role in cancer progression, and therefore exploring the underlying mechanisms and biological functions of LIPT1 may provide potential therapeutic guidance for cancer treatment. Our study explored the expression levels and prognostic values of LIPT1 in pan-cancer by using The Cancer Genome Atlas (TCGA), GEPIA2, and ciBioPortal databases bioinformatics platforms. We found that LIPT1 was aberrantly expressed in most cancer types. patients with kidney Chromophobe (KICH) and kidney renal papillary cell carcinoma(KIRP) with high LIPT1 expression were significantly associated with poor prognosis.
However, patients with bladder urothelial carcinoma (BLCA), kidney renal clear cell carcinoma (KIRC), Lung squamous cell carcinoma (LUSC), Rectum adenocarcinoma (READ), Skin Cutaneous Melanoma (SKCM) with high LIPT1 expression showed good prognosis. In addition, we evaluated the genetic alterations, methylation levels, and immunoassays of pan-cancerous LIPT1.
To elucidate the underlying molecular mechanisms of LIPT1, we performed single-cell sequencing to elucidate the expression of LIPT1 associated with DNAdamage, Differentiation, and DNArepair. Thus, these comprehensive pan-cancer analyses suggest that LIPT1 may have potential significance for the progression of various cancers. In conclusion, LIPT1 may be a prognostic and immune-related biomarker for a variety of cancers.