bluuebunny/crossref_metadata_2025 huggingface dataset:
OncoBERT: Building an Interpretable Transfer Learning Bidirectional Encoder Representations from Transformers Framework for Longitudinal Survival Prediction of Cancer Patients
Authors: Lin Hui , Ginart Jorge Barrios , Chen William , Interian Yannet , Gong Haotian , Liu Bo , Upadhaya Taman , Lupo Janine , Hong Julian , Braunstein Steve , Morin Olivier
Published: July 2023

Deep learning transformer models have exhibited exceptional performance in various clinical tasks, including cancer outcome prediction, when applied to electronic health records (EHR). Inspired by the success of bidirectional encoder representations from transformers (BERT) in natural language processing, we present OncoBERT, a deep transformer transfer learning framework tailored for cancer outcome prediction using unstructured clinical notes from diverse cancer sites including Glioma, Prostate, and Breast. OncoBERT adapts the BERT framework for unstructured EHR notes processing and employs a logistic regression model for binary survival prediction. Our framework analyzes aggregated EHR notes for each patient from the time of diagnosis to the initial outcome evaluation timepoint, progressively incorporating new notes for up to one year, which allows us to capture the evolving nature of cancer prognostication. In comparison to stage-based outcome models and a conventional NLP method, OncoBERT outperforms them in predicting cancer outcomes across three distinct cancer types. Furthermore, we introduce a novel interpretability pipeline that allows us to extract clinical note segments identified by the OncoBERT model as the most relevant indicators of prognosis. This pipeline enhances the interpretability of the predictive outcome, surpassing the limitations of attention weights. By providing clearer insights into the model's decision-making process, our approach improves the transparency and comprehensibility of the results, ultimately empowering clinicians and patients to make more informed decisions.
BQA: A High-performance Quantum Circuits Scheduling Strategy Based on Heuristic Search
Authors: Chen Xin-miao , Wang Shi , Ye Yong-jin , Wu Yong-zheng , Jiang Bo
Published: July 2023

Quantum computing is currently a research hotspot in both academia and industry. The inherent parallelism of quantum computers and the resulting powerful computing power will bring new solutions to many problems that are difficult for classical computers. However, due to the limitations of technical conditions, it is difficult to achieve full direct coupling of all qubits on a quantum chip. When compiling a quantum circuit onto a physical chip, it is necessary to ensure those two-qubit gates act on pairs of directly coupled qubits by inserting SWAP gates. It will cause great additional cost when a large number of SWAP gates are inserted, leading to the execution time of quantum circuits longer. In this paper, we designed a strategy based on the business of each individual qubit to insert SWAP gates, named Busy-Qubits-Avoid Strategy. On the one hand, we try to hide the time overhead incurred by the inserted SWAP gates by exploiting the uneven distribution of quantum gates over qubits. On the other hand, we also expect the inserted SWAP gates to make as little negative impact on subsequent two-qubit gates as possible. We designed a heuristic function which take into account both of these points. Compared with Srabe and tket, we achieved a better effect. In addition, as the number of two-qubit gates increases, better optimization results will be achieved. This implies higher execution efficiency and lower decoherence error rate.
Spatio-temporal Change of Wetland and their Effects on Wetland Biodiversity in Dinsho District, Bale Mountain Eco-Region, Southeast Ethiopia
Authors: Garedew Kefa Feye , Wedajo Mersha Alemu , Belete Mulugeta Dadi
Published: July 2023

Wetlands are landscape units that exist at the boundary between land and water. Wetland resources are critical to the survival of humans, plants, and animals. Wetlands, on the other hand, have declined in both time and space. As a result, the opportunities for wetland services became more limited. As a result, the current study concentrated on assessing spatiotemporal wetland changes, drivers, and their effects on wetland biodiversity in Dinsho District of Bale Zone, Southeastern Ethiopia. Landsat satellite images from 1990, 2000, 2010, and 2020 were analyzed to determine spatiotemporal wetland changes over the last three decades. To supplement remotely sensed satellite data, a household survey, key informant interviews, focus group discussions with local communities, and field observations were conducted. For satellite image analysis and display, the results were statistically analyzed using ERDAS IMAGINE 2015 and ArcGIS 10.5 software. The socioeconomic data was analyzed using SPSS 20. According to the findings, the wetland's land cover share before 30 years was 10934.25ha (16.88 percent). However, after 30 years, the land cover shares of wetlands had decreased dramatically to 6090.79 ha (10.19 percent). The spatio-temporal wetlands change analysis revealed that wetlands in the study area were reduced by 4843.46 ha (7.48 percent) between 1990 and 2020. Because wetlands are wasteland, the local community has periodically encroached on them in the study area for farmland and grazing land. Wetland changes are primarily driven by farmland expansion, overgrazing, sedimentation, and climate variability. Wetland loss has had an impact on the wetland ecosystem and biodiversity, resulting in the extinction of water birds, grasses, and tree species. In conclusion, the study shows that the magnitude of change in wetland loss in the study area increased over time and space, resulting in ecological effects in the study area. As a result, the government and stakeholders should intervene to improve sustainable wetland management by implementing appropriate management practices and raising awareness.
Dynamic lane-changing game model in mixed autonomous and human-driven vehicle environment
Authors: Cao Yuqing , Sun Hao , Sun Panfei
Published: July 2023

Lane changing in mixed environments is a critical task that requires autonomous vehicles(AV) to respond to constantly changing traffic conditions in real time, while dealing with the uncertainties introduced by human-driven vehicles(HV). This paper proposes a dynamic lane-changing game model that captures the dynamic interaction among vehicles during lane-changing. To address the uncertainty in human drivers' intentions in the mixed environment, uncertain parameter is introduced that capture their diverse payoff preferences. When tackling the lack of information exchange between AV and HV, a strategy prediction algorithm based on the introduced parameter is proposed, enabling AV to predict the action of HV. The simulation is conducted using Next Generation Simulation (NGSIM) data to verify the effectiveness of the algorithm. The results indicate that the presence of algorithmic strategy assistance enables AV to consistently perform safe and efficient lane-changing maneuvers in the presence of parameter variations in human drivers.
Tendon stem/progenitor cells are promising reparative cell sources for multiple musculoskeletal injuries of concomitant articular cartilage lesions associated with ligament injuries
Authors: Yin Heyong , Mao Kelei , Huang Yufu , Ding Yufei , Dai Yike , Li Zhiyao , Guo Ai , Ma Lifeng , Diao Naicheng , Shi Lin
Published: July 2023

Background
Trauma-related articular cartilage lesions usually occur in conjunction with ligament injuries. Torn ligaments are frequently reconstructed with autologous tendon autograft and has been proven to achieve satisfactory clinical outcomes. However, effective treatments for the concomitant articular cartilage lesions are still very insufficient. The current study was aimed to evaluate whether stem/progenitor cells derived from tendon tissue can be considered as an alternative reparative cell source for cartilage repair.
Methods
Decellularization cartilage matrix (DCM) was used to provide a chondrogenic microenvironment for human tendon stem/progenitor cells (hTSPCs). Live/dead staining and proliferative assay demonstrated that DCM supported survival and proliferation of hTSPCs with an excellent biocompatibility. Furthermore, gene expression analysis indicated that chondrogenic differentiation of hTSPC was induced by the DCM microenvironment, without the use of exogenous growth factors.
Results
TSPCs are promising reparative cell sources for promoting cartilage repair. Especially, in the cohort that articular cartilage lesions occur in conjunction with ligament injuries, autologous TSPCs can be isolated from a portion of the tendon autograph harvested for ligaments reconstruction.
Conclusion
To our knowledge, this is the first article that propose to isolate TSPCs from tendon autograph for enhancing musculoskeletal repair of concomitant articular cartilage lesions associated with ligament injuries. In future clinical practice, combined ligament reconstruction with TSPCs- based therapy which isolated from tendon autograft can to be considered to achieve superior restore of these associated injuries in musculoskeletal system.
Distinct non-synonymous mutations in cytochrome b highly correlate with decoquinate resistance in apicomplexan parasite Eimeria tenella
Authors: Hao Zhenkai , Chen Junmin , Sun Pei , Chen Linlin , Zhang Yuanyuan , Chen Wenxuan , Hu Dandan , Bi Feifei , Han Zhenyan , Tang Xinming , Suo Jingxia , Suo Xun , Liu Xianyong
Published: July 2023

Background
Protozoan parasites of the genus Eimeria are the causative agents of chicken coccidiosis. Parasite resistance to most anticoccidial drugs is one of the major challenges in controlling this disease. There is an urgent need for a molecular marker to monitor the emergence of resistance against anticoccidial drugs, such as decoquinate.
Methods
In this study, we developed decoquinate-resistant strains by successively exposing the Houghton (H) and Xinjiang (XJ) strains of E. tenella to incremental concentrations of the drug in chickens. Additionally, we isolated a decoquinate-resistant strain from the field. The resistance of these three strains was tested using the criteria of weight gain (WG), relative oocyst production (ROP), and reduction of lesion scores (RLS). Whole-genome sequencing was used to identify the non-synonymous mutations in coding genes that were highly associated with the decoquinate-resistant phenotype in the two laboratory-induced strains. Subsequently, we further scrutinized the missense mutation in a field-resistant strain for verification. We employed AlphaFold and PyMOL to model the alterations in the binding affinity of the mutants towards the drug molecule.
Results
We obtained two decoquinate-resistant strains, DecR_H and XJ, originating from the H and XJ strains, respectively, as well as a field-resistant E. tenella strain, DecR_SC. These three strains displayed resistant to 120 mg/kg decoquinate administered through feed. Through whole-genome sequencing analysis, we identified the cytochrome b gene (ETH2_MIT00100) as the sole mutated gene shared between the DecR_H and XJ strains and was also detected in the DecR_SC strain. Distinct non-synonymous mutations, namely Gln131Lys in the DecR_H, Phe263Leu in the DecR_XJ, and Phe283Leu in the DecR_SC were observed in the three resistant strains. Notably, these mutations were located in the extracellular segment of cytochrome b, in close proximity to the ubiquinol oxidation site Qo. Drug molecular docking studies revealed that these mutants exhibited varying degrees of reduced binding ability to decoquinate.
Conclusions
Our findings emphasize the critical role of cytochrome b mutations in the development of decoquinate resistance in E. tenella. The strong correlation observed between cytochrome b mutant alleles and resistance indicates their potential as valuable molecular markers for the rapid detection of decoquinate resistance.
Dolutegravir use over 48 weeks is not associated with worsening insulin resistance and pancreatic beta cell function in a cohort of HIV-infected Ugandan adults
Authors: Mulindwa Frank , Castelnuovo Barbara , Brusselaers Nele , Nabwana Martin , Bollinger Robert , Laker Eva , Kiguba Ronald , Schwarz Jean-Marc
Published: July 2023

Background
The Uganda Ministry of Health issued restrictive guidelines on the use of dolutegravir (DTG) in persons stratified to have a heightened risk of diabetes mellitus. This followed multiple reports of persons with HIV (PWH) presenting with accelerated hyperglycemia after a few weeks to months of exposure to DTG. Having demonstrated a low incidence of diabetes mellitus and improving blood glucose trajectories in a cohort of ART naïve Ugandan PWH on DTG, we sought to determine whether the observed improvement in blood glucose did not mask background compensated insulin resistance.
Methods
In this analysis, 63 patients underwent serial oral glucose tolerance tests over 48 weeks. Using fasting serum insulin and glucose, we calculated insulin resistance and pancreatic beta cell function by homeostatic modelling (HOMA IR and HOMA%β respectively). Absolute mean changes between baseline and post-baseline blood glucose, pancreatic beta cell function and insulin resistance were computed by subtracting each post-baseline value from the baseline value and compared using student t-test. Multiple linear regression models were used to determine the factors associated with changes in pancreatic beta cell function and insulin resistance.
Results
Of the 63 participants, 37 (58%) were female. Median age was 31 (IQR: 28–37). Despite a trend towards an initial increase in both HOMA IR and HOMA%β at 12 weeks followed by a decline through 36 weeks to 48 weeks, the HOMA IR and HOMA%β at 48 weeks were not significantly different from baseline i.e. (difference in mean HOMA IR from baseline: 0.14, 95%CI: -0.46, 0.733, p = 0.648) and (difference in mean HOMA %β from baseline: 6.7, 95%CI: -13.4, 26.8, p = 0.506) respectively.
Wrinkles improvement in facial and periorbital regions with two different radio-frequencies from the same device head
Authors: Xu Yafei , Ai Ziying , Liu Huan , Tan Yimei
Published: July 2023

Objective: To evaluate efficacy of the new and unique radio- frequencies (RF) poles on facial and periorbital wrinkles.
Methods: Thirty-five healthy Chinese women with facial and periorbital wrinkles (age range 30-50 years) were enrolled in this study. Participants were treated with this device five times each week at home independently for 12 weeks. Four visits were scheduled during the trial (baseline, 28th day, 56th day and 84th day). 3D topographic photographs of periorbital wrinkles were obtained and then analyzed by Primos CR. The facial images were captured by Visia-CR, Image-Pro-Plus image software was used to analyze wrinkles in facial areas. The clinical grade evaluation on horizontal neck fold was conducted by dermatologists based on the "SKIN AGING ATLAS VOLUME 2-ASIAN TYPE".
Results: With the increase in treatment time, the wrinkles area and wrinkles area ratios of forehead wrinkles, nasolabial folds, and glabellar wrinkles decreased significantly. The data shows positive changes in crow's feet and underneath eye wrinkles after treatment, and the size of eye bags reduced. Besides, the skin color and firmness also significantly improved. Moreover, the scores in horizontal neck fold decreased by 10.14% on the 84th day compared to baseline.
Conclusion: This study shows that the home-use RF device equipped with a special electrode head can effectively reduce wrinkles in the eyes and face, as well as improve skin condition.
Prognosis and Immune Infiltration Analysis of m6A RNA methylation regulators in Skin cutaneous melanoma and differential analysis with cuproptosis
Authors: Tian Cui-cui , Shi Hao-ze , Zhang Cong-cong , Kong Ying-qi , Chen Hao
Published: July 2023

Background
Skin cutaneous melanoma (SKCM) is the most malignant tumor among skin cancers. We aimed to identify the role of m6A regulated genes in the prognosis and tumor immune microenvironment of SKCM. We further elevated the expression level of cuproptosis-related genes in different risk groups.
Methods
The transcriptome data of 471 SKCM tissues from the XENA database and 812 normal samples from GTEx were obtained.The univariate Cox regression analysis was used to explore the relationship of m6A related genes and the clinical outcomes of SKCM The least absolute shrinkage and selection operator (LASSO) regression analysis was used to construct a risk model for m6A regulated genes. Furthermore, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed. Also, the immune cell infiltration was analyzed using CIBERSORT. In addition, we assessed the expression level of cuproptosis-related genes in SKCM samples and its role in different risk sets. Expression validation of cuproptosis-associated genes in YTHDF3 downregulated melanoma cell lines by RT-qPCR.
Results
In this study, we found that m6A-related genes were differentially expressed in melanoma and normal samples. Eight of them were significantly related to prognosis. The risk model based on HNRNPA2B1, METTL3, WTAP, METTL15, YTHDC1 and RBMX was constructed and validated. Besides, the biological processes and signaling pathway were analyzed by GO and KEGG analysis. Moreover, the infiltration of immune cells in different risk sets were explored and we discovered the infiltration level of CD8+ T cells, T cell CD4+ memory activated, NK cell activated and Macrophage M1 was negatively correlated with risk score. We further detected the expression level of ten cuproptosis-related gens in different risk groups. Among them, the MTF1, PDHB and FDX1 were differentially expressed and the lower expression appeared to correlate with higher risk score. Finally, we found that the expression of MTF1 and PDHB was increased when m6A regulator YTHDF3 was downregulated.
Conclusion
Our study demonstrated the prognostic value of m6A-related genes in SKCM and their role in tumor immune microenvironment. In addition, we creatively explored the relationship between m6A RNA methylation regulators and cuproptosis-related genes in SKCM.
From the Perception to the Implementation of Culturally Responsive Teaching of an Elementary School Teacher
Authors: Hamidizadeh Katayoon
Published: July 2023

Teachers' perceptions of multicultural education have been investigated in many researches. This study has investigated the perception and implementation of culturally responsive teaching of an elementary school teacher in the classroom, that how she understands multicultural education and how she implements this understanding in her classroom. The analyses prove that the participating teacher had a limited understanding of culturally responsive teaching, and implemented it in a weak and limited way in her classroom.
Ferroptosis-induced Cardiotoxicity and Antitumor Drugs
Authors: Beretta Giovanni Luca
Published: July 2023

:

The induction of regulated cell death ferroptosis in tumors is emerging as an
intriguing strategy for cancer treatment. Numerous antitumor drugs (e.g., doxorubicin,
etoposide, tyrosine kinase inhibitors, trastuzumab, arsenic trioxide, 5-fluorouracil) induce
ferroptosis. Although this mechanism of action is interesting for fighting tumors, the clinical
use of drugs that induce ferroptosis is hampered by cardiotoxicity. Besides in cancer
cells, ferroptosis induced by chemotherapeutics can occur in cardiomyocytes, and this
feature represents an important drawback of antitumor therapy. This inconvenience has
been tackled by developing less or no cardiotoxic antitumor drugs or by discovering cardioprotective
agents (e.g., berberine, propofol, fisetin, salidroside, melatonin, epigallocatechin-
3gallate, resveratrol) to use in combination with conventional chemotherapeutics.
This review briefly summarizes the molecular mechanisms of ferroptosis and describes
the ferroptosis dependent mechanisms responsible for cardiac toxicity developed by cancer-
suffering patients following the administration of some chemotherapeutics. Additionally,
the pharmacological strategies very recently proposed for potentially preventing this
inconvenience are considered.
The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
Authors: Liu Yingyin , Dong Xiaomei , Li Zhixing , Zhu Sui , Lin Ziqiang , He Guanhao , Gong Weiwei , Hu Jianxiong , Hou Zhulin , Meng Ruilin , Zhou Chunliang , Yu Min , Huang Biao , Lin Lifeng , Xiao Jianpeng , Zhong Jieming , Jin Donghui , Xu Yiqing , Lv Lingshuang , Huang Cunrui , Liu Tao , Ma Wenjun
Published: July 2023

Background

Drowning is a serious public health problem worldwide. Previous epidemiological studies on the association between meteorological factors and drowning mainly focused on individual weather factors, and the combined effect of mixed exposure to multiple meteorological factors on drowning is unclear.

Objective

We aimed to investigate the combined effects of multiple meteorological factors on unintentional drowning mortality in China and to identify the important meteorological factors contributing to drowning mortality.

Methods

Unintentional drowning death data (based on International Classification of Diseases, 10th Edition, codes W65-74) from January 1, 2013, to December 31, 2018, were collected from the Disease Surveillance Points System for Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces, China. Daily meteorological data, including daily mean temperature, relative humidity, sunlight duration, and rainfall in the same period were obtained from the Chinese Academy of Meteorological Science Data Center. We constructed a time-stratified case-crossover design and applied a generalized additive model to examine the effect of individual weather factors on drowning mortality, and then used quantile g-computation to estimate the joint effect of the mixed exposure to meteorological factors.

Results

A total of 46,179 drowning deaths were reported in the 5 provinces in China from 2013 to 2018. In an effect analysis of individual exposure, we observed a positive effect for sunlight duration, a negative effect for relative humidity, and U-shaped associations for temperature and rainfall with drowning mortality. In a joint effect analysis of the above 4 meteorological factors, a 2.99% (95% CI 0.26%-5.80%) increase in drowning mortality was observed per quartile rise in exposure mixture. For the total population, sunlight duration was the most important weather factor for drowning mortality, with a 93.1% positive contribution to the overall effects, while rainfall was mainly a negative factor for drowning deaths (90.5%) and temperature and relative humidity contributed 6.9% and –9.5% to the overall effects, respectively.

Conclusions

This study found that mixed exposure to temperature, relative humidity, sunlight duration, and rainfall was positively associated with drowning mortality and that sunlight duration, rather than temperature, may be the most important meteorological factor for drowning mortality. These findings imply that it is necessary to incorporate sunshine hours and temperature into early warning systems for drowning prevention in the future.
Stravinsky and Maritain: Philosophies of work
Authors: Moody Ivan
Published: July 2023

Igor Stravinsky?s philosophical and religious trajectory included transformative encounters with Catholic theologians and philosophers in the Paris of the 1920s and 1930s. The most important amongst these was Jacques Maritain, whose neoThomist philosophy applied to art was of significance to Stravinsky, and in particular through its application in the life and work of fellow Russian ?migr? composer Arthur Louri?. This article examines the relationship between Stravinsky and Maritain in terms of the larger philosophical and creative context of the period, also touching on the work of Louri? and Manuel de Falla, and discussing its ramifications in the work of Stravinsky himself.
A Study on the Efficient Separation of Oily Water Using Mullite Whiskers Membrane through Combined Filtration and Electrofiltration
Authors: Naseri Masoumeh , Mousavi Seyed Foad , Omidkhah Mohammadreza
Published: July 2023

Oily wastewaters pose significant environmental challenges, requiring effective treatment methods for sustainable development. This study investigates the potential of combining filtration, electrofiltration, and backwashing using a ceramic membrane for the treatment of oily water. A secondary mullite membrane is synthesized, demonstrating favorable characteristics such as high permeate flux (534 LMH), biaxial flexural strength (75.21 MPa), and cost-effectiveness. Experimental investigations were performed for operational parameters, resulting in the selection of a pressure of 2 bar and a cross-flow velocity of 0.727 m/s to achieve desirable permeate flux and oil removal rates. The critical electric field intensity (Ecrit) is determined experimentally and theoretically, ranging from 50 to 55 V, guiding the selection of optimal voltages for electrofiltration. Electrokinetic phenomena, including electrophoresis, electroosmosis, and bubble formation, are harnessed to mitigate fouling. The influence of feed solution conductivity is examined, revealing that higher salt concentrations increase fouling and diminish electric field effectiveness. Energy consumption analysis indicates significant potential for energy savings, with a decrease from 3.88 kWh/m³ in the no-voltage condition to 2.71 kWh/m³ at 65 V for salt-free solutions. However, at higher salt concentrations, increased fouling and reduced electric field effectiveness result in higher energy consumption. The findings underscore the suitability of low-cost ceramic membranes for oily water treatment, emphasizing the importance of optimizing operating parameters for enhanced performance and energy efficiency.
Bir neolojizm örneği: medeniyet kavramının Türkçe kurgu dışı metinlerdeki serüveni
Authors: DURSUN ÖNEN Kübra Fatma
Published: July 2023

Neolojizm, bir dilde daha önce bulunmayan yeni bir kelime veya terim oluşturma sürecidir. Kelimenin kökeni Latincedeki “neos” (yeni) ve “logos” (kelime) kelimelerinden gelir. Bu terim, dilin gelişimiyle ortaya çıkan yeni kelimeleri ifade etmek için kullanılır. Neolojizmler, dil içi ihtiyaçları karşılamak, yeni kavramları ve teknolojileri tanımlamak için kullanılan yeni kelimeler ve deyimlerdir. Bu terim, dilin sürekli gelişimine ve yenilenmesine işaret eder. Tanzimat Dönemi’nde Osmanlı’dan Avrupa’ya gönderilen bürokratlar, risalelerde ve sefaretten yazdıkları mektuplarda “medeniyet” kavramını ifade etmek için “sivilizasyon” sözcüğünü kullanmışlardır. “Sivilizasyon”, Fransızca “civilisation” sözcüğünden Türkçeye ödünçlenmiştir. 19. yüzyılın sonlarına doğru Türk yazarların özellikle Avrupa’dan yazdıkları hatıra, mektup ve seyahat yazılarında “sivilizasyon” kelimesi yerine “medeniyet”i tercih ettikleri görülmüştür. Arapça kökenli “medeniyet” kelimesi, zamanla Türkçenin yapısına uyum sağlamış ve Türk kültüründeki kullanımına uygun hâle gelmiştir. Bu süreçte kelimenin anlamı farklılaşmış ve genişlemiştir. Tanzimat’tan II. Meşrutiyet’e kadar yaşanan siyasi ve sosyal gelişmelerin etkisiyle, yazarlar kurgu dışı metinlerde medeniyet ve Batı’yı ilişkilendirdikleri için, Türklerin çağdaşlaşma öyküsünü ayrıştırmak adına “terakki” sözcüğünü yaygın şekilde kullanmaya başlamışlardır. Arapça kökenli “terakki” kelimesi ise içerisinde barındırdığı “ilerleme, gelişme ve yükselme” anlamlarıyla Türk aydınlarının Batılılaşma sürecindeki eğilimlerinin bir sonucu olarak ortaya çıkmış ve 19. yüzyılın sonlarında yazarların üzerinde sözleştiği bir kavram olarak pek çok fikir yazısında tekrar edilmiştir. 20. yüzyılın başında, Millî Mücadele başlamış ve bu büyük değişim ifade edilirken içerisinde “devrim” anlamı barındıran “inkılap” kelimesi metinlerde yaygın şekilde kullanılmaya başlanmıştır. Bu çalışmada neolojizm ışığında bir kavramın Türk kültür tarihindeki değişimi ve dönüşümü kurgu dışı metinler üzerinden tarihselleştirilerek aktarılmaya çalışılacaktır. Bu söylem analizi sayesinde, Türk aydınının Batılılaşma sürecini hangi sözcükler etrafında anlamlandırdıkları ortaya çıkarılacaktır.
Consciousness Physics: A Unified Theory, Working Papers
Authors: TIJANI M. A.
Published: July 2023

Key Areas of the Consciousness Physics Research Project:•Entanglement Is Fundamental to the Universe: The Temic Principle of Consciousness Entanglement•Gravity: A consequence of Big Bang expansion/explosion by Fundamental Consciousness, a natural force•The Temic Theory of Gravity•The Temic Big Bang Principle: A generalization of the Big Bang in the Standard Big Bang Model•Fundamental Consciousness Wave Background (FCWB): FCWB, the Background Consciousness Wave of the Universe; how is it related to the Background Gravitational Wave of the Universe (GWB) and the Cosmic Microwave Background (CMB)?•The Temic Uncertainty Principle: A Generalization of Heisenberg's Uncertainty Principle•The Temic Superposition Principle: A Generalized version of the superposition principle•The Temic Principle of Consciousness-Energy Conservation: A generalized version of the principle of conservation of energy •Resolving the Einstein-Podolsky-Rosen Paradox (EPR)•The Temic Wave-Particle Duality: A generalization of the Wave-Particle Duality of Matter•Quantization of Conwaves•Objectivity, Observation, Measurement, and Subjectivity•The Temic Principle of Coherence•The Temic Principle of Conscious Perception•The Periodic Table of Lifeforms on Earth (PTL): A periodic table of living organisms on this planet based on their level of consciousness and other key factors essential to life•Applications: space exploration; time travel; brain-to-brain communication; transformator (converts matter to light, fermions to bosons, or light to matter, bosons to fermions)
Bayesian Estimation and Comparison of Idiographic Network Models
Authors: Siepe Björn S. , Kloft Matthias , Heck Daniel W.
Published: July 2023

Idiographic network models are estimated on time-series data of a single individual and allow researchers to investigate person-specific associations between multiple variables over time. The most common approach for fitting graphical vector autoregressive (GVAR) models uses LASSO regularization to estimate a contemporaneous and a temporal network. However, estimation of idiographic networks can be unstable in relatively small data sets typical for psychological research. This bears the risk of misinterpreting differences in estimated networks as spurious heterogeneity between individuals. As a remedy, we evaluate the performance of a Bayesian alternative for fitting GVAR models that allows for regularization of parameters while accounting for estimation uncertainty. We also develop a novel test, implemented in the tsnet package in R, which assesses whether differences between estimated networks are reliable based on matrix norms. We first compare Bayesian and LASSO approaches across a range of conditions in a simulation study. Overall, LASSO estimation performs well, while a Bayesian GVAR without edge selection may perform better when the true network is dense. In an additional simulation study, the novel test is conservative and shows good false-positive rates. Finally, we apply Bayesian estimation and testing in an empirical example using daily data on clinical symptoms for 40 individuals. We additionally provide functionality to estimate Bayesian GVAR models in Stan within tsnet.Overall, Bayesian GVAR modelling facilitates the assessment of estimation uncertainty which is important for studying inter-individual differences of intra-individual dynamics. In doing so, the novel test serves as a safeguard against premature conclusions of heterogeneity.
Sectoral Herding Contagion on Eve of New Year
Authors: Bukhari Faisal
Published: July 2023

The purpose of this study is to investigate herding contagion on the eve of the new year (2015-2019) last three years data excluding due to Covid 19 effect on stock markets. This research work focuses on the cross-country behavioural linkages of investors between US and Chinese stock markets. This study employs a return dispersion model to identify the consensus among the participants of the market (Chang et al., 2000). The first aim of this study is to examine herding contagion by Cross Sectional Absolute Deviation (CSAD) between domestic and foreign countries. The findings of this study depict that herding contagion appeared during the new year, however, the intensity of herding contagion negligible during the new year within the aggregate and sectoral data sets. This paper highlights stock markets and sectors for investors to get the maximum advantage of portfolio diversification. Therefore, stockholders require to alter their portfolios according to the situation in the market to diversify risk. The study suggests that investors and asset managers should analyse the sectoral performance of stock markets during such situations before making a portfolio.
Locating nondeterministic events and their causes in spacetime for a wave function that represents both objective and subjective uncertainty
Authors: Gentile David
Published: July 2023

Two of the most important challenges to an objective interpretation of the wave function have solid proposed partial solutions. We look at two recently published ideas and focus on where and when nondeterministic events occur in spacetime. Specifically, we look at (Hobson, 2022), which describes an objective wave function with no additional collapse hypothesis. We try to elucidate this proposed solution to the measurement problem and focus on where it positions nondeterministic events in spacetime. We then turn to (Price H, 2015), which builds on (Costa de Beauregard, 1953). The “zigzag” causality presented there seems to be generally misunderstood as retrocausality. However, no signals are sent into the past light cone. We discuss how this idea can overcome the problems that objective wave function interpretations have with special relativity, and again, we focus on the loci of nondeterministic events. Taken together, they provide an answer to the most serious objections to an objective interpretation of the wave function and answer the question of when and where objective uncertainty associated with the wave function becomes subjective uncertainty.
Cost-Effective and Eco-Friendly Sculptural Materials from Recyclable Waste Materials for the Teaching and Learning of Sculpture in Ghana
Authors: Asare Juliana , Adom Dickson , Adu-Agyem Joe , Addo-Danquah Lord Sam Ofori
Published: July 2023

The global search for more eco-friendly, cost-effective and alternative sculpture materials to be used in the deployment of teaching and learning has been pursued by scholars in sculpture lately. This has been driven by the need to find alternative sculpture materials in the local environment of students, especially waste materials to replace the expensive conventional sculpture materials that cannot be purchased by majority of the students at the Senior School level in Ghana. Therefore, the purpose of this study was to experiment with various recyclable environmental waste materials such as styrofoam food containers, teak leaves and water sachets to find out if they could be potential cast materials for use during practical lessons in sculpture. The inquiry was carried out using the studio-based research design under the qualitative research methods. The material choice, binders used, recycling procedural steps and their casting processes. Moreover, the strengths and weaknesses in each of the recyclable waste materials as cast materials in comparison with the conventional sculpture materials such as Plaster of Paris, Cement, and resin were detailed. The results showed that aside from the cost-effectiveness and eco-friendly nature of the recyclable waste materials, they possessed significant properties similar to the conventional materials such as hardness, tensile strength, and natural textural qualities. The study contends that sculpture teachers must assist their students to be innovative in exploring the local waste materials as potential materials to be used for sculptural production for their sculpture practical lessons.
Perancangan Security Information and Event Management (SIEM) untuk Mendeteksi Insiden pada Situs Web
Authors: Sijabat Daniel Rudiaman , Evo Stevanus
Published: July 2023

Dalam era digital yang semakin kompleks, situs web menjadi sasaran utama serangan oleh pihak yang tidak bertanggung jawab. Oleh karena itu, diperlukan sistem yang dapat memantau, menganalisis, dan memberikan peringatan dini terhadap aktivitas mencurigakan atau serangan yang terjadi pada situs web. Untuk itu pada penelitian ini dilakukan analisis dan perancangan sebuah sistem Security Information and Event Management (SIEM) yang dapat digunakan untuk mendeteksi insiden serangan pada situs web. SIEM yang dibangun pada penelitian ini menggunakan Elastic Stack yang akan digunakan untuk menganalisa, mengawasi, mendeteksi, dan menyimpan informasi event-event atau log-log keamanan pada tiap-tiap agent yang terkoneksi. Untuk mensimulasikan pengujian jenis-jenis serangan pada situs web seperti pada pada OWASP TOP 10 2017, digunakan beberapa aplikasi web yang rentan, yaitu DVWA, XVWA, dan MUTILLIDAE. Pengujian pada sistem SIEM yang dibuat menunjukkan sistem mampu mendeteksi jenis-jenis serangan terhadap situs web seperti yang disebutkan pada pada OWASP TOP 10 2017.
The Impact of Aromas on Consumers' Emotions: Conscious and Unconscious Evaluation
Authors: Neomániová Katarína , Berčík Jakub , Jurčišin Patrik
Published: July 2023

At present, aromas are increasingly used in multisensory in-store communication to create a more enjoyable purchasing environment that can influence consumer emotions, behaviour and decision-making. We often do not realise the power of an aroma's influence on our mood, but its influence at the point of sale makes sense, of course, if it is used correctly. It is possible to monitor the impact of aromas on consumers' emotions in a variety of ways, whether through classical research methods implemented at a conscious level or through more advanced methods. Obtaining more accurate data on consumers' emotions in this way makes it possible to create a purchasing atmosphere that contributes to increased sales and, ultimately, profit. This paper explores the impact of aromas on consumers' emotions by applying different research methodologies, with the place of implementation being the real-world conditions of the selected retail establishment. The evaluation of the data obtained in the aromatisation and non-aromatisation periods confirmed that the importance attributed to aroma marketing in commercial establishments is well founded. At the same time, by comparing the results, we have identified differences in the conscious and unconscious evaluation of the impact of aromas on consumers' emotions, confirming the practical importance of implementing and using various techniques in research.
Back to the future: the amazing journey of the therapeutic anti-leukemia enzyme asparaginase Erwinia chrysanthemi
Authors: Tong Wing H. , Rizzari Carmelo
Published: July 2023

For several decades, asparaginase has been considered world-wide as an essential component of combination chemotherapy for the treatment of childhood acute lymphoblastic leukemia (ALL). Discovered over 60 years ago, two main unmanipulated asparaginase products originated from primary bacteria sources, namely Escherichia coli and Erwinia chrysanthemi, have been available for clinical use. A pegylated product of the Escherichia coli asparaginase was subsequently developed and is now the main product used by several international co-operative groups. The various asparaginase products all display the same mechanism of action (hydrolysis of circulating asparagine) and are associated with similar efficacy and toxicity patterns. However, their different pharmacokinetics, pharmacodynamics and immunological properties require distinctive modalities of application and monitoring. Erwinia chrysanthemi asparaginase was initially used as a first-line product, but subsequently became a preferred second-line product for children who experienced immunological reactions to the Escherichia coli asparaginase products. An asparaginase product displaying the same characteristics of the Erwinia chrysanthemi asparaginase has recently been produced by use of recombinant technology, thus securing a preparation available for use as an alternative, or as a back-up in case of shortages, for the non-recombinant product. The long journey of the Erwinia chrysanthemi asparaginase product as it has developed throughout the last several decades has made it possible for almost every child and adult with ALL to complete the asparaginase-based protocol treatment when an immunological reaction has occurred to any Escherichia coli asparaginase product.
Strategies for delivery of CRISPR/Cas-mediated genome editing to obtain edited plants directly without transgene integration
Authors: Kocsisova Zuzana , Coneva Viktoriya
Published: July 2023

Increased understanding of plant genetics and the development of powerful and easier-to-use gene editing tools over the past century have revolutionized humankind’s ability to deliver precise genotypes in crops. Plant transformation techniques are well developed for making transgenic varieties in certain crops and model organisms, yet reagent delivery and plant regeneration remain key bottlenecks to applying the technology of gene editing to most crops. Typical plant transformation protocols to produce transgenic, genetically modified (GM) varieties rely on transgenes, chemical selection, and tissue culture. Typical protocols to make gene edited (GE) varieties also use transgenes, even though these may be undesirable in the final crop product. In some crops, the transgenes are routinely segregated away during meiosis by performing crosses, and thus only a minor concern. In other crops, particularly those propagated vegetatively, complex hybrids, or crops with long generation times, such crosses are impractical or impossible. This review highlights diverse strategies to deliver CRISPR/Cas gene editing reagents to regenerable plant cells and to recover edited plants without unwanted integration of transgenes. Some examples include delivering DNA-free gene editing reagents such as ribonucleoproteins or mRNA, relying on reagent expression from non-integrated DNA, using novel delivery mechanisms such as viruses or nanoparticles, using unconventional selection methods to avoid integration of transgenes, and/or avoiding tissue culture altogether. These methods are advancing rapidly and already enabling crop scientists to make use of the precision of CRISPR gene editing tools.
Modeling orientation perception adaptation to altered gravity environments with memory of past sensorimotor states
Authors: Allred Aaron R. , Kravets Victoria G. , Ahmed Nisar , Clark Torin K.
Published: July 2023

Transitioning between gravitational environments results in a central reinterpretation of sensory information, producing an adapted sensorimotor state suitable for motor actions and perceptions in the new environment. Critically, this central adaptation is not instantaneous, and complete adaptation may require weeks of prolonged exposure to novel environments. To mitigate risks associated with the lagging time course of adaptation (e.g., spatial orientation misperceptions, alterations in locomotor and postural control, and motion sickness), it is critical that we better understand sensorimotor states during adaptation. Recently, efforts have emerged to model human perception of orientation and self-motion during sensorimotor adaptation to new gravity stimuli. While these nascent computational frameworks are well suited for modeling exposure to novel gravitational stimuli, they have yet to distinguish how the central nervous system (CNS) reinterprets sensory information from familiar environmental stimuli (i.e., readaptation). Here, we present a theoretical framework and resulting computational model of vestibular adaptation to gravity transitions which captures the role of implicit memory. This advancement enables faster readaptation to familiar gravitational stimuli, which has been observed in repeat flyers, by considering vestibular signals dependent on the new gravity environment, through Bayesian inference. The evolution and weighting of hypotheses considered by the CNS is modeled via a Rao-Blackwellized particle filter algorithm. Sensorimotor adaptation learning is facilitated by retaining a memory of past harmonious states, represented by a conditional state transition probability density function, which allows the model to consider previously experienced gravity levels (while also dynamically learning new states) when formulating new alternative hypotheses of gravity. In order to demonstrate our theoretical framework and motivate future experiments, we perform a variety of simulations. These simulations demonstrate the effectiveness of this model and its potential to advance our understanding of transitory states during which central reinterpretation occurs, ultimately mitigating the risks associated with the lagging time course of adaptation to gravitational environments.
Repetitive transcranial magnetic stimulation can improve the fixation of eyes rather than the fixation preference in children with autism spectrum disorder
Authors: Tian Li , Ma Shuai , Li Yin , Zhao Meng-fei , Xu Chang , Wang Chen , Zhang Xin , Gao Lei
Published: July 2023

Background

Transcranial magnetic stimulation (TMS) has been introduced into the intervention of autism spectrum disorders (ASD) as a possible new therapeutic option for modifying pathological neuroplasticity. However, the stimulating protocols of rTMS for ASD have not been approved unanimously, which affects the clinical popularization and application of rTMS. In addition, there is little research on the improvement of social processing of autistic children by rTMS.

Methods

We explored the clinical efficacy of rTMS and improvement of face processing with the protocol of left high-frequency and right low-frequency on bilateral dorsolateral prefrontal cortex (DLPFC), with a sample of 45 ASD participants aged 2–18.

Results

Our results showed that both the score on the Childhood Autism Rating Scale (CARS) and the fixations on the eyes of the human faces improved by two-session rTMS intervention, except for the percentage of eyes fixation. The mediation analysis indicated the item of “Adaptation to Change” of CARS mediated dominantly the improvement of eye-gaze behavior of ASD participants by rTMS.

Conclusion

Our study revealed the mechanism of rTMS in improving the eye-gaze behavior of the autism population, deepened the understanding of the function of rTMS in treating autistic social disorders, and provided a reference for combined treatment for ASD.