bluuebunny/crossref_metadata_2025_split huggingface dataset:
Legal Support of the Security of the Information Space of the Russian Federation in the Field of Artificial Intelligence
Authors: Eresko P. V. 
Published: December 2024

On the one hand, one of the priority areas of state policy in accordance with the National Development Strategy is the accelerated development of artificial intelligence (AI), on the other hand, various problems arise, including legal regulation of the field of AI in order to ensure the security of the information space of the Russian Federation.Methodology: Using a set of dialectical, formal and systemic methods to study the development and implementation of AI technologies to determine the main directions of legal regulation in the field of AI and identify problems associated with legal support for the security of the information space of the Russian Federation.Results. Approaches to regulation of AI in the Russian Federation and in world practice are analyzed; The existing legal problems in the field of development and use of AI are considered. It has been revealed that the introduction of AI technologies leads to violations of the security of the information space of the Russian Federation. The result of the study was the substantiation of the need to create a unified regulatory framework in the field of AI to ensure the security of the information space of the Russian Federation, which can be achieved by improving the legislative framework in the field of AI, as well as minimizing the identified legal risks associated with the practice of developing and implementing AI technologies.
The Role of Constitutions in the Legal Status of Indigenous Peoples (Examples of Arctic Countries)
Authors: Gladun E. F. 
Published: December 2024

In this article, based on the examples of four Arctic states (Russia, the United States of America, Canada and Finland), the role of constitutions is determined and described how the basic state law forms legal systems and ensures the legal status of indigenous peoples. It is revealed that indigenous peoples are presented as a constitutional and legal phenomenon in the largest and most developed states of the world. The characteristics of indigenous peoples differ, since they are influenced by both the processes of state building and society development.According to the author, the role of the constitution is that at the level of the main law, indigenous peoples are distinguished as a special ethnic community that has political, cultural, and economic significance for the state. At the same time, the characteristics of indigenous peoples are not constant — they are significantly influenced by external conditions: political, legal, social, and economic, forming or changing them. This requires constant revision and updating of approaches to the study of indigeneity and determining the prospects for the development of indigenous peoples.Within the framework of this article, the author examines the terminology associated with indigenous peoples, enshrined at the constitutional level, and proposes to use a special term in constitutional law — “indigenism”, i.e. a set of unique characteristics that distinguish indigenous peoples from other ethnic groups, and in accordance with which these characteristics peoples are endowed with special collective and individual rights.
Building effective practices for managing personal data, collected by unmanned transport
Authors: Stepanova A. Е. 
Published: December 2024

The article addresses the problem of ensuring the privacy of data collected by unmanned transport. It is shown that the amount of data actually collected by an autonomous transport in a day is not comparable to the amount of data needed for its training. It is concluded that the approach to data collection needs to be more selective. It is noted that the data on which unmanned and connected vehicles are trained may be inaccurate or even biased. As a result, artificial intelligence is biased. This study sought to explore the provisions of the concept of a fair artificial intelligence that is intolerant of discrimination, whatever it may be. The author came to the conclusion that in reality it is practically impossible to ensure zero tolerance of discrimination by intelligent systems, as its manifestations may not always be obvious. It is rightly pointed out that artificial intelligence has the potential to undermine autonomous, rational human decision-making. The author expresses confidence that centralised data lifecycle management can be the key to consumer trust.
Discriminación percibida y calidad de vida en población adulta de tres ciudades de la sierra peruana
Authors: Luna-Solis Ybeth , Vargas-Murga Horacio , Perales Cabrera Alberto , Agüero-Palacios Ysela , Contreras-Pizarro Carlos H. , De la Torre Castillo Sara 
Published: December 2024

In order to determine the relationship between perceived discrimination and quality of life, we carried out a cross-sectional analytical study of secondary sources. Data from three cities in the Peruvian highlands were analyzed. The sample of 3889 adults was grouped into participants with mental disorders (n=1499) and without mental disorders (n=2390). We used statistical tests of independence and independent group comparison for complex samples. The lowest quality of life was found in the group of participants with mental disorders who perceived themselves discriminated in the last year by sex (p<0.001), age (p<0.001), weight (p<0.001), dress (p<0.001), economic or social status (p<0.001), educational level (p<0.001), religion (p=0.008), friendships (p=0.005) and height (p=0.008). In conclusion, people with a mental disorderin the cities of Ayacucho, Cajamarca and Huaraz who perceived discrimination during the last year hadlower quality of life averages than those without a mental disorder.
Biological Control Methods for Arthropod and Disease Pests in Managed Hives of Apis mellifera in Campeche, Mexico1
Authors: Vanoye Eligio Maximiliano , Dzib Castillo Benito Bernardo , Lazo Edith González , Almeyda Juan Manuel Ortega 
Published: December 2024

Abstract
Beekeeping activities involving Apis mellifera L. (Hymenoptera: Apidae) impact social, environmental, and economic aspects of daily life in Mexico. For this activity, the participation of women is crucial because they attend to, care for, and collect products from the hives. Beekeeping, however, can be significantly limited by arthropod and disease pests, thereby reducing production. This review was undertaken to identify agents or products of natural origin (i.e., biological control) that have been developed or have the potential to combat these pests. We found that managed hives in Campeche, Mexico are plagued by the varroa mite (Varroa destructor Anderson and Trueman) (Acari: Mesostigmata), the small hive beetle (Aethina tumida Murray) (Coleoptera: Nitidulidae), the greater wax moth (Galleria mellonella L.) (Lepidoptera: Pyralidae), and the microsporidia Vairimorpha apis (Zander) Tokarev et al. and Vairimorpha ceranae (Fries et al.) Tokarev et al. (Microsporidia: Nosematidae). Our review revealed at least 47 microorganisms or products of plant or microbial origin that have been assessed and/or developed for management of these pests in A. mellifera hives. All of these products can be easily obtained in Mexico and, thus, hold promise in the management of pests of A. mellifera hives in Mexico.
Pengaruh Inovasi Pembelajaran dan Kurikulum Merdeka Terhadap Karakter Kemandirian Belajar Peserta Didik di Manado
Authors: Mentang Paulus Joseph , Mua Marianus Muharli 
Published: December 2024

Penelitian ini bertujuan untuk menganalisis pengaruh inovasi pembelajaran dan kurikulum merdeka terhadap karakter kemandirian belajar peserta didik di Sekolah Menengah Atas (SMA) dan Sekolah Menengah Kejuruan (SMK) Katolik di Kota Manado. Metode penelitian yang digunakan adalah kuantitatif dengan teknik analisis regresi untuk mengukur hubungan antar variabel. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang baik dan signifikan inovasi pembelajaran guru terhadap karakter kemandirian belajar peserta didik dengan Uji T sebesar 16.029 > 0,159 nilai t Tabel dan dengan signifikansi 0,000 ˂ 0,05 sedangkan koefisien determinasi diperoleh R 0,664 dan R2 sebesar 0,718, terdapat pengaruh yang baik dan signifikan kurikulum merdeka terhadap karakter kemandirian belajar peserta didik dengan Uji T sebesar 15.029 > 0,159 nilai t Tabel dan dengan signifikansi 0,000 ˂ 0,05 sedangkan koefisien determinasi R sebesar 0,694 dan R2 sebesar 0,758, terdapat pengaruh yang baik dan signifikan inovasi pembelajaran dan kurikulum merdeka terhadap karakter kemandirian belajar SMA dan SMK Katolik di Kota Manado dengan Uji F sebesar 131.181 > 0,199 dan nilai F tabel dengan signifikansi 0,000 ˂ 0,05 dengan koefisien R sebesar 0,795, R2 sebesar 0,632 dan adjusted R2 sebesar 0,627.
Penguatan Nilai Nasionalisme di Era Digital: Analisis Isi Narasi Dakwah Habib Luthfi Bin Yahya di Instagram
Authors: Kartika Rika , Suryadi Karim , Rahmat Rahmat , Syaifullah Syaifullah 
Published: December 2024

Nilai-nilai nasionalisme merupakan nilai yang diperlukan oleh setiap bangsa untuk terus mengawal agenda pembangunan. Salah satu aktor penting dalam menjalankan tugas ini adalah para ulama termasuk para ulama di Indonesia dari keturunan Arab Hadrami yang dikenal dengan sebutan Habaib atau Habib dengan dakwahnya. Pada era pemerintahan Joko Widodo, Habib Luthfi bin Yahya diangkat menjadi anggota Dewan Pertimbangan Presiden Periode 2019—2014. Penelitian ini mengkaji narasi nilai-nilai kebangsaan yang diutarakan oleh Habib Luthfi bin Yahya di platform Instagram. Metode yang digunakan adalah analisis isi kualitatif dari unggahan Instagram untuk menemukan nilai-nilai kebangsaan dalam dakwah. Penelitian ini menunjukkan dakwah Habib Luthfi bin Yahya di Instagram yang mencerminkan nilai-nilai nasionalisme, yaitu cinta tanah air, persatuan, etika moral, toleransi dan perdamaian dengan memanfaatkan strategi media sosial dengan pola komunikasi yang inklusif. Temuan ini menunjukkan sosial media bukan sekadar platform distribusi pesan, tetapi wadah untuk mengatasi polarisasi di era digital. Penelitian ini menyoroti fenomena dakwah digital untuk menghadapi narasi intoleran yang tersebar di media sosial.
Increased physical performance and reduced fatigue after personalised physiotherapy and nutritional counselling in long COVID
Authors: Garcia Berenice Jimenez , Roggeman Stijn , Leemans Lynn , Cools Wilfried , Beckwée David , De Waele Elisabeth 
Published: December 2024

Abstract

Background
Long COVID is a multisystemic condition with debilitating symptoms, including fatigue and post-exertional malaise. Personalised nutritional counselling and physiotherapy could provide a synergistic effect to alleviate these symptoms. However, there is a lack of evidence of the feasibility and effectiveness of such personalised multimodal therapy (PMT) including both nutrition and physiotherapy.
Methods
In this pilot study, 65 participants were randomised into either standard physiotherapy or the PMT. Nutritional counselling focussed on tailoring the energy and protein intake to the individual needs based on indirect calorimetry and nutritional assessments. Personalised physiotherapy focused on symptom-contingent pacing. The aim was to evaluate the feasibility in light of a randomised controlled trial (RCT) and to assess the effectiveness of the PMT compared to standard physiotherapy. Effectiveness outcomes (1-minute sit-to-stand test (1-MSTS), 6-minute walk test (6-MWT), and the Multidimensional Fatigue Inventory (MFI-20)) were assessed after 6, 12 and 18 weeks. Descriptive statistics and sample size calculations were performed.
Results
We observed an advancement in both groups, however, the PMT group showed a significant improvement, for 1-MST, 6-MWT and physical fatigue at 18 weeks. Participant specific trajectories suggest a growing estimated difference between groups throughout the trial. To prove these interesting finding, 181 participants should be recruited in a RCT. Study feasibility was proven.
Conclusions
The study revealed a positive trend for improved physical function and reduced fatigue in adults with long COVID after combined nutritional counselling and physiotherapy. A large-scale RCT is needed to prove the effectiveness, but the current results are hopeful.
Conspecific presence facilitates 22-kHz ultrasonic calls in male rats exposed to cat odor
Authors: Perez Miguel Bedoya , Rahman Mehek F. , McGregor Iain S. 
Published: December 2024

Abstract

Rats (Rattus norvegicus) exhibit defensive behaviors such as hiding, freezing, and fleeing when confronted with predators. They often emit long-duration (~ 22-kHz) ultrasonic vocalizations (USVs) in response to predator detection, unlike shorter (~ 50-kHz) USVs associated with positive states. These vocalizations can also trigger defensive behaviors in other rats. We studied the impact of a predator-associated stimulus (cat fur) and the context in which it was experienced on ~ 22-kHz and ~ 50-kHz USVs in laboratory rats, along with how the presence of conspecifics (none, one, or two familiar rats) influenced these vocalizations. Group-housed rats were habituated to a testing arena with a hide box alone or in pairs or trios. The next day, they were exposed to cat fur (1 gram) in the arena, and defensive behaviors and USVs were recorded. Subsequently, the rats returned to the arena without cat fur to assess contextual fear. Cat fur prompted significant hiding and ~ 22-kHz USVs, especially in social groups, but not in the context alone. Cat fur also suppressed ~ 50-kHz USVs, with recovery faster in trios, indicating a social buffering effect. These findings suggest that predator cues induce ~ 22-kHz USVs influenced by social context, highlighting an altruistic communicative function.
Personalized Prediction of Gait Freezing Using Dynamic Mode Decomposition
Authors: Fu Zhiwen , Lin Congping , Zhang Yiwei 
Published: December 2024

Abstract

Freezing of gait (FOG) is a common severe gait disorder in patients with advanced Parkinson's disease (PD). The ability to predict the onset of FOG episodes early on allows for timely intervention, which is essential for improving the life quality of patients. Machine learning and deep learning, the current methods, face real-time diagnosis challenges due to comprehensive data processing requirements. Their ''black box'' nature makes interpreting features and classification boundaries difficult. In this manuscript, we explored a dynamic mode decomposition (DMD)-based approach together with optimal delay embedding time to reconstruct and predict the time evolution of acceleration signals, and introduced a triple index based on DMD to predict and classify FOG. Our predictive analysis shows 86.45% accuracy in classification, and an early prediction rate of 81.97% of all samples with an average early prediction time of 6.13 seconds. This DMD-based approach has the potential for real-time patient specific FOG prediction.
Performance Analysis and Prediction of Asphalt Pavement Containing Municipal Solid Waste Incineration Bottom Ash Aggregate Based on MEPDG
Authors: Yu SUN , Luo JI , LIAO Jian , ZHANG Fulong , Yan GAO , Chongwei HUANG 
Published: December 2024

Abstract

In order to verify the difference between slag asphalt pavement and ordinary asphalt pavement in engineering practice, The Mechanistic-Empirical Pavement Design Guide (MEPDG) was used to analyze and predict the performance of asphalt pavement containing municipal solid waste incineration bottom ash aggregate (MSWI BAA). The results showed that the incorporation of slag had an impact on the rut depth of the pavement, and the traffic volume had a greater impact on the rut depth. The incorporation of slag had no significant effect on the fatigue cracks of the pavement, and was less affected by temperature changes, and had little effect on the smoothness of the pavement. In general, MSWI bottom ash did not reduce the long-term performance of the asphalt pavement, which is suitable for replacing part of natural aggregate for road construction.
Hypoxia-induced Semaphorin 6B promotes the development of cervical cancer through regulating macrophage polarization
Authors: Yi Shuyan , Hu Sha , Li Wenhan , Cai Jing , Cai Liqiong , wang lufang 
Published: December 2024

Abstract

The progression of cervical cancer is closely related to the tumor microenvironment (TME) (which includes hypoxia and macrophages). However, the impact of hypoxia on macrophages remains to be determined. In the present study, mRNA sequencing was used to detect differential gene expression in macrophages induced from peripheral blood mononuclear cells of cervical cancer patients under hypoxic and normoxic conditions, and 236 genes were upregulated in macrophages exposed to hypoxia; these genes were mainly enriched in response to chemokines and the actin cytoskeleton. The expression of semaphorin 6B (SEMA6B) significantly increased after hypoxia treatment, and high expression of SEMA6B was related to poorer survival in cervical cancer patients. Multicolor immunofluorescence revealed that abundant CD206 + SEMA6B + TAMs were associated with poor prognosis, late clinical stage, lymph node metastasis, poor differentiation, and lymphovascular space invasion in cervical cancer patients. TIMER database analysis revealed that SEMA6B expression was positively correlated with the infiltration of M2 macrophages and Tregs and negatively correlated with the infiltration of CD4 + and CD8 + T cells. In vitro, knocking down SEMA6B in TAMs inhibited macrophage M2 polarization and the migration of macrophages. Furthermore, after coculture of macrophages with SEMA6B knockdown and cervical cancer cells, the proliferation, migration and invasion of SiHa and HeLa cells was significantly reduced. In conclusion, SEMA6B is a promoting factor for the development of cervical cancer. Targeting SEMA6B may be a potential immunotherapy approach for treating cervical cancer.
1H-NMR-based metabolomics identifies disrupted betaine metabolism as distinct serum signature of pre-frailty
Authors: Marino Carmen , Imarisio Alberto , Gasparri Clara , Napolitano Enza , Maio Anna Di , Avenali Micol , Buongarzone Gabriele , Galandra Caterina , Picascia Marta , Grimaldi Manuela , Errico Francesco , Rondanelli Mariangela , D’Ursi Anna Maria , Valente Enza Maria , Usiello Alessandro 
Published: December 2024

Abstract

Increasing evidence suggests that frailty results from a complex age-associated metabolic decline. Here, we investigated the serum metabolomic profile of a well-characterized cohort of elderly subjects encompassing the whole fit-to-frail continuum. Enrichment analyses revealed a complex dysregulation of amino acids and energy metabolism in both pre-frail and frail participants. Remarkably, upregulated betaine levels emerged as a specific biochemical signature of pre-frailty, holding promise for the development of novel targeted interventions.
Iron Metabolism-Related Gene Expression and Immune Microenvironment in Lumbar Disc Herniation: Insights from Bioinformatics Analysis
Authors: Ouyang Shuai , Wu Yu , Lao Aotian , Liu Zerui , Zou Jian , Lu Guoliang 
Published: December 2024

Abstract

Background
We investigated the involvement of iron metabolism-related genes (iron metabolism RGs) in lumbar disc herniation (LDH) to develop early diagnostic and therapeutic strategies.
Methods
Bioinformatics approaches were employed to identify differentially expressed genes associated with iron metabolism, in the context of LDH, using datasets from the gene expression omnibus database and analyzed using the “limma” R package. Functional enrichment analyses, including gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, were performed to determine the biological functions and pathways involved. A diagnostic model was developed to enhance early detection and prognosis of patients with LDH. Using the single-sample Gene Set Enrichment Analysis method to examine immune cell infiltration patterns, interaction networks involving mRNA transcription factors and mRNA miRNAs were constructed and visualized using Cytoscape.
Results
Our enrichment analysis identified key biological processes and pathways associated with 25 differentially expressed iron metabolism RGs, highlighting their roles in “iron ion homeostasis” and oxidative stress responses. The constructed diagnostic model demonstrated excellent discriminatory power in distinguishing patients with LDH from healthy controls. Immune cell infiltration analysis revealed significant associations between immune microenvironment characteristics and disease progression.
Conclusions
These findings suggest potential therapeutic strategies targeting the immune microenvironment and provide insights into innovative treatments for LDH.
The metabolic score for insulin resistance as a Predictor of Obstructive Sleep Apnea: The Mediating Effects of Liver Fat and Steatosis
Authors: Song Shangyi , Li Xuhao , Liu Yecun , Wang Xingxin , Zhang Wenhui , Yang Jiguo , Liu Yuanxiang 
Published: December 2024

Abstract

Background
Obstructive sleep apnea (OSA) is associated with metabolic disorders such as insulin resistance and liver fat accumulation. However, the specific mediating role of liver-related metabolic indicators in this association has not been fully studied. The purpose of this study was to investigate the relationship between Metabolic Score for Insulin Resistance (METS-IR) and OSA, focusing on the mediating effects of liver fat percentage (PLF) and hepatic steatosis index (HSI). Understanding these mechanisms may provide insights into targeted interventions for OSA.
Methods
A total of 12,655 participants from the National Health and Nutrition Examination Survey (NHANES) were included in this analysis. Obstructive sleep apnea (OSA) was assessed using the NHANES questionnaire. Weighted multivariate logistic regression was employed to assess the relationship between METS-IR and OSA, with a mediation model constructed to explore the mediating roles of key liver and metabolic markers, including PLF, HSI, SII, and OBS.
Results
Among 12,655 subjects, 31.04% had OSA. METS-IR was closely related to the increased risk of OSA, and the highest quartile group of METS-IR had a significantly increased risk of OSA ( OR = 2.35, 95% CI : 1.72–3.21 ). Mediating effect analysis showed that PLF and HSI mediated 11.22% and 22.78% of the effects, respectively, while systemic immunity-inflammation index (SII) and oxidative balance score (OBS) had no significant mediating effect.
Conclusions
METS-IR is an important predictor of OSA risk, primarily mediated by hepatic lipid accumulation. Addressing insulin resistance and hepatic metabolic health is crucial for the effective management of OSA and provides valuable guidance for clinical risk assessment in susceptible populations.