bluuebunny/crossref_metadata_2025_split huggingface dataset:
PROVING THE SECURITY OF AES BLOCK CIPHER BASED ON MODIFIED MIXCOLUMN
Authors: Tran Thi Luong 
Published: June 2024

Block ciphers in general, Substitution-Permutation Network (SPN) block ciphers in particular are cryptographic fields widely applied today. AES is an SPN block cipher used in many security applications. However, there are many strong attacks on block ciphers as linear attacks, differential attacks, and algebraic attacks which are challenging for cryptographers. Therefore, the research to improve the security of block ciphers in general and AES, in particular, is a topic of great interest today. Along with security, the issue of the execution cost of block ciphers is also crucial in practice. In this paper, we clarify the role of the MDS matrix in increasing the branch number of the diffusion layer of the block ciphers, thereby improving the security of the block ciphers. We propose a method improving the security of the AES block cipher by changing the Mixcolumn transformation of AES using execution-efficient MDS matrices of size 4, 8, or 16. We present a method to find a new diffusion matrix of modified AES block ciphers from which to evaluate the number of fixed points and coefficient of fixed points of the modified AES diffusion layers. In addition, we prove the branch number of the modified AES diffusion layers with MDS matrices of sizes 8, and 16. Then we also analyze the security, statistical standards and execution speed of modified AES block ciphers generated from those MDS matrices. The results show that our proposed method can significantly improve the security of the AES block cipher.
Exploring Bhutanese teachers perceptions about extensive reading
Authors: Pem Kinley 
Published: June 2024

The study empirically examined the Bhutanese teachers' perception of extensive reading. Thirty-four Bhutanese teachers responded to an online questionnaire and rated their level of agreement on extensive reading (ER) characteristics and the benefits of ER. Participants' questionnaire responses were analyzed quantitatively using descriptive statistics. The results showed that 1) majority of the teacher participants accepted most of the ER characteristics but showed disagreements with a few others that contradicted the widely accepted views of ER. 2) Most of the participants agreed with the ER benefits in the overall development of language proficiencies in terms of reading, writing, speaking, vocabulary, grammar, and motivation, and the majority disagreed with ER benefits of listening proficiency. However, the mixed results of the study indicated teacher participants' misconception of extensive reading. Therefore, these findings suggest a need for Extensive reading programs and workshops for Bhutanese Teachers to elucidate the misinterpretation of ER.
THE IMPACT OF SANCTIONS ON THE INTERNAL STATE OF GAZPROM
Authors: Балакина Е.А. 
Published: June 2024

В статье проведена оценка экономической деятельности организации на примере ПАО «Газпром» с целью определения устойчивости компании. Данные были получены и обработаны из базы данных предприятия и анализировались с использованием описательной статистики, то есть показателя, медианы, диапазона значений, стандартного отклонения, коэффициента вариации, вероятности, эксцесса и корреляционного анализа, для определения ассоциации между переменными.
The article presents an assessment of economic activity of an organization on the example of the global energy company Gazprom in order to determine its sustainability. The data was obtained and processed from the enterprise database and analyzed using descriptive statistics, i. e. score, median, range, standard deviation, coefficient of variation, probability, kurtosis and correlation analysis to determine the association between variables.
CURRENT TRENDS IN THE DEVELOPMENT OF BIG DATA BASED INFORMATION SYSTEMS FOR EDUCATIONAL PURPOSES
Authors: Натапов М.Л. 
Published: June 2024

Образование меняет жизнь и меняется само за счет внедрения образовательных технологий. Передовые технологии не только облегчают доступ к обучающим процессам, но и делают их более наукоемкими и человекоцентричными. Одной из таких прорывных технологий является использование больших данных. В статье подчеркивается важность создания информационных систем на базе массивов данных для образования, исследуются преимущества такого подхода для улучшения качества обучения. Автор применяет различные методы, включая анализ литературы и бенчмаркинг, чтобы рассмотреть ключевые аспекты темы. Основное внимание уделяется роли больших данных в образовании и методам их интеграции, дается обзор текущих тенденций в области информационных систем, приводятся примеры их реализации в учебных заведениях. Автор подчеркивает, что взаимодействие искусственного интеллекта и Big Data в образовании создает мощную синергию. Алгоритмы искусственного интеллекта способны анализировать огромные объемы данных, генерируемые в образовательном секторе, давая представление о вещах, ранее считавшихся невозможными. Подход к образованию, основанный на данных, может улучшить качество преподавания и обучения, сделав образование более эффективным.
Education changes lives and changes itself through the introduction of educational technologies. Advanced technologies not only facilitate access to learning processes, but also make them more knowledge-intensive and human-centered. One of such breakthrough technologies is big Data. Th e article underlines the importance of information systems based on data sets for education by exploring the benefits of this approach to improve learning. The author applies various methods, including literature review and benchmarking, to examine key aspects of the topic. The focus is on the role of Big Data in education and methods for integrating it. The article provides an overview of current trends in information systems and adduces the examples of their implementation in educational institutions, and highlights potential areas for further research. The author emphasizes that the interaction of artificial intelligence and Big Data in education creates powerful synergies. Artificial intelligence algorithms are able to analyze the vast amounts of data generated in the education sector, providing insights into things previously considered impossible. A data-based approach to education can improve the quality of teaching and learning, making education more effective.
Les banquets du sodalitium Lugdunense : un idéal de sociabilité à la Renaissance
Authors: Laigneau-Fontaine Sylvie 
Published: June 2024

Les membres du sodalitium Lugdunenses, des poètes épigrammatistes actifs à Lyon dans les années 1530–1540, ont écrit de nombreuses pièces symposiaques, à travers lesquelles se dessinent une société idéale, qui pratique l’art du banquet en respectant les règles établies par les Anciens. Pour les poètes et leurs amis, dans cet art du banquet se mêlent vin, conversation et plaisanteries. Ces échanges sont l’occasion de définir un mode de vie et des valeurs dont sont exclus ceux qui ne leur correspondent pas, mais qui offrent à ceux que l’on reconnaît comme ses pairs un espace de sociabilité où, loin de tout dogmatisme, se construit pas à pas un savoir auquel chacun est prié d’apporter sa contribution (ἔρανος) dans une atmosphère empreinte d’harmonie (ἐμμέλεια). Rien d’étonnant, dès lors, à ce que le « cercle d’Eranos » organisé par Olga Fröbe-Kapteyn s’inspire des banquets antiques et renaissants.
ZDKD-FLID:Zero-Data Knowledge Distillation of Federated Learning for Intrusion Detection
Authors: Gao TiaoKang , Jin XiaoNing , Lai Yingxu 
Published: June 2024

Abstract

Over the years, federated learning-based intrusion detection has attracted attention because it preserves data privacy and improves the detection capabilities of local models. However, the majority of existing methods in this domain are tailored for homogeneous models. Given the impact of factors such as hardware disparities and business requirements, local models often exhibit heterogeneity, which significantly restricts the development and application of federated learning for intrusion detection. Therefore, to address the challenge posed by model heterogeneous federated learning-based intrusion detection, this paper proposes a novel framework called zero-data knowledge distillation of federated learning for intrusion detection (ZDKD-FLID). This framework not only effectively addresses the issue of model heterogeneity but also operates without relying on a public dataset. Firstly, on the node side, the prediction model and local model perform knowledge distillation learning. Secondly, on the server side, the prediction model is selected and aggregated to generate a global prediction model. Additionally, a generator optimized with particle swarm optimization is employed for generative adversarial learning, enabling the generation of samples. Finally, the local model is trained using samples containing knowledge from other heterogeneous models, effectively improving the accuracy of intrusion detection. To validate its efficacy, ZDKD-FLID is compared with state-of-the-art algorithms on the CICIDS-2017 and UNSW-NB15 dataset. Consequently, ZDKD-FLID demonstrates superior performance compared to all the other considered algorithms.
Considering Planetary Health in Health Guidelines and Health Technology Assessments: A Scoping Review Protocol
Authors: Piggott Thomas , Raja Maheen , Michels Charlotte T.J. , Herrmann Alina , Scahill Karolina , Darzi Andrea J. , Jewell Laura , Saif-Ur-Rahman KM , Napierala Hendrik , Heuer Ruben , Morgan Rebecca L. , Leontiadis Grigorios I. , Neumann Ignacio , Schünemann Holger , Miller Fiona A. 
Published: June 2024

Abstract

Background
This protocol outlines a scoping review with the objective of identifying and exploring planetary health considerations within existing health guidelines and health technology assessments (HTA). The insights gained from this review will serve as a basis for shaping future Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) guidance on planetary health.
Methods
We will adhere to the JBI methodology for scoping reviews. We will conduct a comprehensive search and screening of results in all languages across various databases including MEDLINE, EMBASE, CINAHL, Global Health, Health Systems Evidence, Greenfile, and Environmental Issues. Additionally, we will supplement this search with resources such as the GIN library, BIGG database, Epistemonikos, GRADE guidelines repository, GRADEpro Guideline Development Tool Database, MAGICapp, NICE website, WHO websites, and a manual exploration of unpublished relevant documents using Google incognito mode. Two independent reviewers will screen and assess full texts of identified documents according to the eligibility criteria. The following information from each full text will be extracted: document title; first author’s names; publication year; language; document type; document as a guideline or HTA; the topic/discipline; document purpose/study objective; developing/sponsoring organization; country in which the study/guideline/HTA report was conducted; definition of planetary health or related concept provided; types of planetary health experts engaged; study methods; suggested methods to assess planetary health; use of secondary data on planetary health outcomes; description for use of life cycle assessment; description for assessing quality of life cycle; population/intended audience; interventions; category; applicable planetary health boundaries; consideration of social justice/global equity; phase of intervention in life cycle related to planetary health addressed; measure of planetary health impact; impact on biodiversity/land use; one health/animal welfare mention; funding; and conflict of interest. Data analysis will involve a combination of descriptive statistics and directed content analysis, with results presented in a narrative format and displayed in tables and graphs.
Discussion
The final review results will be submitted to open access peer-reviewed journals for publication when they become available. The research findings will also be disseminated at relevant planetary health conferences and workshops.
Registration:
This scoping review protocol was registered in Open Science Framework (https://osf.io/3jmsa).
Which plays a more important role in hemophilia treatment, economical development or medical technology?
Authors: Yu Dan , Yang Shu , Mu Hongli , Zhou Zeping , Zhang Yiting , Tang Jialing , Huang Meijuan , Lai Yinghui 
Published: June 2024

Abstract

Objective: To investigatethe management status of hemophilia A patients in Fujian, Guangxi and Yunnan provinces in South China and their gaps with the national data. To explore which plays a more important role in hemophilia treatment, economical development or medical technology?
Methods: The data of hemophilia A patients registered in Fujian, Guangxi and Yunnan provinces were analyzed, and their diagnosis and treatment were studied and compared with the published national data.
Results: 542 hemophilia A cases were registered in Fujian, including mild ones 6.3%, moderate 73.2%, severe 12.6% and unknown 7.9%; 295 cases in Guangxi, mild 4.7%, moderate 22.7%, severe 30.5% and unknown 42.1%; 162 cases in Yunnan, mild 7.4%, moderate 45.1%, severe 42.6% and unknown 4.9%. The proportion of patients with severe hemophilia A in Fujian was significantly lower than that in Guangxi, Yunnan and national data (P < 0.05). Approximately29.2% had a delayed diagnosis in Guangxi (24.1% in Yunnan, 4.1% in Fujian, national data: 28.8%; P=0.000). The rate of delayed treatment is 17.3% in Guangxi, 4.9% in Yunnan,1.5% in Fujian and 39.2% in national data. The rate of joint deformity is 67.9% in Yunnan, 40.4% in Guangxi, 36% in national data and 17.0% in Fujian. The prophylactic treatmentrates in Guangxi and Yunnan were 16.9% and 27.2% respectively, which were statistically significant compared with the national rate (16.2%).
Conclusion: Diagnosis and treatment status of hemophilia A in the three southern provinces of China are significantly different from the national data. In hemophilia treatment, economical development plays a more important role.At similar economic levels, medical technology will cause a gap in the level of hemophilia treatment.
Clinical observation on warming needle moxibustion combined with rehabilitation techniques in the treatment of anterior disc displacement without reduction
Authors: Zhu Renjie , Yu Jing , Wang Fangli , Chu Jiamei , Bao Yehua , Wang Qin , Wei Yuanye , Yuan Jianhui 
Published: June 2024

Abstract

Objective: To observe the effect of warming needle moxibustion combined with rehabilitation techniques on clinical symptoms and quality of life of patients with anterior disc displacement without reduction (ADDwoR).
Methods: This randomized controlled trial included 66patients, with ADDwoR, attending the Hangzhou Hospital of Traditional Chinese Medicine. Patients were assigned to the Experimental (12 sessions of warming needle moxibustion combined with rehabilitation manipulation therapy) and Control (rehabilitation therapy only) group (n = 33, each). Duration of treatment was 4 weeks, with 3 times a week. Outcomes included VAS pain score, maximum mouth opening (MMO), mandibular function impairment score (MFIQ), oral health impact scale (OHIP-14 scale), and mandibular dysfunction index (Fricton score). Safety assessments during treatment included incidence of fainting, broken needle, bleeding, hematoma and scalding.
Results:
After treatment, the VAS scores, mandibular function impairment scores, oral health impact degree scale, and the scores of DI, PI and CMI in the two groups were significantly decreased compared with before. While the maximum mouth opening was increased in both groups. And the clinical efficacy evaluation was: the cure rate of the control group was 59%, and the cure rate of the experimental group was 83%. There was significant difference in the cure rate between the two groups.
Conclusion: Compared to targeted rehabilitation exercises only, warming needle moxibustion combined with rehabilitation manipulation can not only improve the pain and maximum mouth opening, but also mandibular function impairment, mandibular joint disorder and oral health of patients with ADDwoR.
Clinical trial registration: http://www.chictr.org.cn/index.aspx, identififier: ChiCTR2200059039.
CENPO as a potential biomarker for the prognosis and therapy of CSCC patients
Authors: Li Xiaoxin , Li Fei , Tian Yan , Zhang Ping , Cai Hong , Xu Feng 
Published: June 2024

Abstract

Background
Cutaneous squamous cell carcinoma (CSCC) is a common nonmelanoma skin cancer. There are limited targeted therapeutic options for treating CSCC.
Methods
This study explored the differential expression of CENPO in CSCC and its relationship with clinical prognosis via data from The Cancer Genome Atlas (TCGA) database. The CENPO gene knockdown lentivirus was constructed, and the biological function of CENPO was evaluated via CCK8 cell proliferation, scratch, invasion, and cell apoptosis experiments in vitro. Furthermore, CENPO was evaluated in vivo.
Results
The TCGA data and clinical immunohistochemical results confirmed that CENPO is significantly overexpressed in CSCC and that CENPO is upregulated with clinical grade. The CCK-8 results confirmed that cell proliferation decreased with CENPO knockdown. Scratch experiments confirmed that cell migration decreased with CENPO knockdown. The invasion experiments confirmed that the cell invasion ability decreased with CENPO knockdown. Flow cytometry experiments showed that cell apoptosis increased with CENPO knockdown. The in vivo assay results showed that the tumor growth rate significantly decreased with CENPO knockdown.
Conclusions
The proliferation, invasion, migration, and antiapoptotic ability of CSCC cells are enhanced by upregulating CENPO. The activity of CSCC cells was significantly inhibited by CENPO knockdown. CENPO could serve as a new biomarker for the diagnosis and treatment of CSCC.
Mitochondrial genome of Machilus pauhoiassembly highlighted the structure variation through long repetitives in ANA species
Authors: Zhao Kai , Shen Mingli , Zheng Ruiyue , Peng Yukun , Chen Jiemin , Zhu Xuanyi , Luo Xianmei , Tong Tong , Xie Jianlian , Ahmad Sagheer , Zhou Yuzhen , Zhong Quanlin , Li Baoyin 
Published: June 2024

Abstract

Background
Plant mitochondria exist and function in a special way, this third-kind genetic material is essential for plant growth and development. However, its complex and highly variable genome structure lead to a poor understanding compared with chloroplasts.
Results
With the help of HIFI sequencing, we obtained new insights of their structure and functions. Machilus pauhoi (Magnoliaceae), an indigenous species, showcases a profusion of metabolites, elegant growth traits like bright red fresh leaves and straight trunk. Thus, we initially curated complete reference mitochondrial genomes for Machilus pauhoi. Though still regarded as complex structure, a 775 Kb two-circle physical map exhibiting simplification trend through one long lateral repeat region in ANA grade. Comparisons of consistent sequences revealed significant large-scale and inclined rearrangements within both cytoplasmic and nuclear genomes. Furthermore, the identification of lateral transfers from chloroplast to mitochondrial genome highlighted the consistent capture of functional genes such as petN. Besides, transferred sequences displayed chromosomal preference in nuclear genome, including genes like cytb, ATP9 and mRpL2. Aberrant selective pressure occurred for ccmB in Magnoliales though mitogenomes bore a greater burden of pressure compared to genes in the chloroplast. We also presented the expression of mtgenes , emphasizing a relatively functional concentration in no chloroplast tissues.
Conclusion
Eventually, the assembly of our newly acquired mitogenome contributes valuable insights into the evolutionary patterns observed in higher plant mitogenomes, thereby establishing a robust foundation for future industrial advancements in functional exploration of forest species.
Effect of foot type on electromyographic characteristics and synergy of selected lower limb muscles during running
Authors: Hajilou Behrouz , Esmaeili Hamed , Anbarian Mehrdad 
Published: June 2024

Abstract

Background
The purpose of the present study was to examine the effect of foot structure on the electromyography factors and the synergy of the selected muscles of the lower extremity.
Methods
The activity of eight lower limb muscles during running was recorded at 3.3 m/s from 60 beginner runners with different foot structures during running. Also, muscle synergies were extracted using non-negative matrix factorization algorithm.
Results
The results showed that there were differences between groups with different foot type in muscle activity under different phases of running in some muscles. Furthermore, the findings indicated that the number of synergies was similar in different groups and the relative weight of muscles was not different across groups.
Conclusion
Despite the difference in muscle activity under different phases of the running cycle, muscle synergies are similar among the groups. This can indicate similar control by the central nervous system in runners with different arch structures while running and the observed changes in muscle activity can be attributed to the type of forces exerted on the body, the length-tension relationship, and changes in the direction of the lower limbs in people with different arch structures.
Association between cognitive dysfunction, TYG index, and depression in older adults: based on the NHANES database, 2011-2014
Authors: Guo Qinghua , Guo Libo , Wang Yong , Shang Shaomei 
Published: June 2024

Abstract

Background
The relationship between cognitive impairment, triglyceride-glucose (TyG) index, and depression in the elderly remains unclear. This study aims to explore the associations among cognitive impairment, TyG index, and the risk of depression in older adults, providing a basis for targeted prevention strategies.
Methods
This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Cognitive impairment was defined as the lowest quartile of three cognitive tests: the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) test for learning and memory, the Animal Fluency test for executive function, and the Digit Symbol Substitution Test (DSST) for attention and processing speed. The TyG index was calculated as ln [triglycerides (mg/dL) × fasting glucose (mg/dL) / 2], and participants were categorized into quartiles based on their TyG index. Multivariable logistic regression models were employed to investigate the relationships between cognitive impairment, TyG index, and depression in the elderly.
Results
A total of 2042 elderly participants (aged ≥ 60 years) were included in the study, among whom 312 (15.3%) were diagnosed with depression. Both cognitive impairment and higher TyG index were significantly associated with increased depressive symptoms among older adults in the United States. The risk of depression was 2.64 times higher (95% CI: 1.33, 3.98) in those with cognitive impairment compared to those with normal cognitive function. Participants in the highest TyG quartile had a multivariable-adjusted odds ratio (OR) of 1.61 (95% CI: 1.10, 2.35) for depression compared to those in the lowest quartile. Similar results were observed across different gender, age groups, and baseline comorbidities.
Conclusion
Our findings suggest that higher TyG index and cognitive impairment (including deficits in learning and memory, executive function, and attention/processing speed) are associated with a greater likelihood of depressive symptoms in older adults.