bluuebunny/crossref_metadata_2025 huggingface dataset:
RETRACTED: Regulation of environmental safety of the Kyrgyz republic
Authors: Akmatova Amanai , Asanbekova Dzhamilia , Sadykova Altynai , Zholdoshbaiuulu Zamirbek , Toktorov Egemberdi
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Formation of environmental literacy through the study of green chemistry
Authors: Seisova Assel , Khamzina Sholpan , Khassenova Maral , Mukanova Roza
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Research at the MSU Meteorological Observatory site in 2024
Authors: Gagarin V.E. , Koshurnikov A.V. , Frolov D.M. , Nikolaeva E.S.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Digital solutions for monitoring and control of solar power in off-grid farms
Authors: Beresneva Yana , Vasilyev Denis
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Influence of current trends on the sustainable development of power industry in Russia
Authors: Mottaeva Angela
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Functional features and tools of regional strategizing in the concept of sustainable development
Authors: Telyatnikova Victoria , Marusinina Elena , Zakharchenko Flor , Syrbu Anzhelika
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Methods of social network texts analysis for a psychometric model of personal behavior
Authors: Prokopyev Nikolai , Ustin Pavel , Gafarov Fail , Popov Leonid
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Application of management accounting tools in the process of modernization of existing production
Authors: Ostaev Gamlet , Klychova Guzaliya , Zakirova Alsou , Zalilova Zariya , Zlobina Oksana , Kravchenko Nina
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The constitutional right to a favorable environment as the basis for the ecologization of modern Russian legislation
Authors: Kostenko M. , Lupandina O. , Dymnikova O. , Finochenko V. , Dergacheva L.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The synergistic effect of innovation transfer in the agricultural sector: Regional aspect
Authors: Barmuta Karine , Akhmetshin Elvir , Kharchenko Sergey , Matjonov Bekjon
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Lean manufacturing and quality management: Ways to improve efficiency
Authors: Burdo G.B. , Bolotov A.N.
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Factors influencing capital stucture on F&B company which implementing sustainable environmental green practise in Indonesia
Authors: Tasyahuda Amalia Dewi , Najmudin Najmudin , Shaferi Intan , Laksana Rio Dhani
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Refined model of leather
Authors: Bahadirov Gayrat , Nabiev Ayder , Tsoy Gerasim
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The influence of socio-ecological and economic factors on sustainable development in the context of the economy of intelligence
Authors: Idigova Lalita , Zakhokhova Madina , Galinskaya Natalya , Chaplaev Khusein , Akoeva Raisa
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Closed cycle economy is an effective model of country development
Authors: Tabaev Azamat , Talipova Dilfuza , Raimjanova Madina , Saidov Rasulbek , Askarova Mavluda
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Regulatory frameworks for sustainable entrepreneurship in the arctic: Environmental law and policy in the Russian Federation
Authors: Churilov Aleksei
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Sustainable economic development in agriculture: Landmarks and prospects
Authors: Salazar Cristian , Filippova Olga , Barinov Sergey , Savchenko Marina
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Personal maturity of students-future ecologists as a psychosocial phenomenon
Authors: Golovko Olga , Smetanina Olga
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The modern concept of franchisee partnership in terms of strategic management
Authors: Shokhnekh Anna , Bukach Boris , Potanina Marina , Kalyuzhnaya Tatiana
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The impact of the green economy on the sustainable development of Kazakhstan
Authors: Berstembayeva Rysty , Niyazbekova Shakizada , Tleuzhanova Danagul , Varzin Vasiliy
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Algorithm for systematizing information about scientific activities in the environmental education system
Authors: Katalazhnova Irina
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Development of Russian rural tourism (agrotourism) ensuring life safety
Authors: Masaleva Maria , Nabiullina Victoria
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: The youth’s reproductive behavior study based on indirect information about the vision of life
Authors: Kulkova Inna
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
RETRACTED: Prospects for the Russian innovation industry development within the 6th technological paradigm framework
Authors: Eliseeva Ekaterina , Eliseev Yuri
Published: July 2024

See the retraction notice BIO Web of Conferences 116, 00001 (2024), https://doi.org/10.1051/bioconf/202411600001
Biocorrosion of 5083 aluminium alloy by Citrobacter freundii SKC-4 in seawater
Authors: Dilasari Bonita , Toynbee Muhammad Iqbal , Chaerun Siti Khodijah
Published: July 2024

The 5083-aluminium alloy, a widely utilized aluminium-magnesium alloy known for its high strength and excellent corrosion resistance, is commonly employed in various applications, including shipbuilding. Despite its inherent resistance to seawater, the presence of microorganisms such as sulphate reducing bacteria (SRB) significantly exacerbates its corrosion. In this study, immersion and electrochemical tests were performed on 5083 aluminium alloy in both sterilized seawater and seawater enriched with SRB Citrobacter freundii SKC-4. Prior to the corrosion tests, Citrobacter freundii SKC-4 was cultivated in modified Luria-Bertani medium under specific conditions. The results demonstrated increased corrosion rates in the presence of the bacteria, with extended immersion leading to greater weight loss of the alloy. Analyses using Scanning Electron Microscope-Energy Dispersive Spectroscopy Mapping and Fourier Transform Infrared confirmed the formation of biofilms by Citrobacter freundii SKC-4 on the alloy's surface, clearly indicating the occurrence of biocorrosion.
Reduced basis method for non-symmetric eigenvalue problems: application to the multigroup neutron diffusion equations
Authors: Taumhas Yonah Conjungo , Dusson Geneviève , Ehrlacher Virginie , Lelièvre Tony , Madiot François
Published: July 2024

In this article, we propose a reduced basis method for parametrized non-symmetric eigenvalue problems arising in the loading pattern optimization of a nuclear core in neutronics. To this end, we derive a posteriori error estimates for the smallest eigenvalue which is assumed to be simple and the associated left and right eigenvectors. The practical computation of these estimators requires the estimation of a constant called prefactor, which we can express as the spectral norm of some operator. We provide some elements of theoretical analysis which illustrate the link between the expression of the prefactor we obtain here and its well-known expression in the case of symmetric eigenvalue problems, either using the notion of numerical range of the operator, or via a perturbative analysis. Lastly, we propose a practical method in order to estimate this prefactor which yields interesting numerical results on actual test cases. We provide detailed numerical simulations on two-dimensional examples including a multigroup neutron diffusion equation.
Investigation on Self-Healing Concrete Using Bacillus Subtilis Bacteria
Authors: Adil Md Raghib , Khatun Supia , Jamal Mohsin , Mondal Abhijit
Published: July 2024

Cracking is a common occurrence in concrete, primarily attributed to its relatively low tensile strength due to External loads which induce high tensile stresses. Immediate and proper treatment is essential to prevent the expansion of cracks, as their unchecked growth may lead to higher repair costs. Bacterially induced calcium carbonate precipitation emerges as an eco-friendly alternative for crack repair. This technique involves the metabolic activities of specific bacteria in concrete, resulting in microbial mineral precipitation. In this study an attempt has been made to define bacterial concrete and its behavior such as self-healing by minor cracks induced in the samples. Concrete cubes of M20, M25 and M30 have been casted with three dosages of bacterial solution (Bascillus Subtilis) as 60 ml, 75 ml & 90 ml per cube (150 mm size). It has been observed that the compressive strength of bacterial concrete has increased slightly as compared to conventional concrete for each dose. The best performance in compressive strength enhancement has been observed for 75 ml dose and best self-healing has been observed for 90 ml dose of bacterial solution (per cube) in bacterial concrete. Ultrasonic pulse velocity test shows excellent quality for all samples of bacterial concrete.
Characterization of Coal Combustion Products from Malaysian Power Plant for Building Materials Applications
Authors: Beddu Salmia , Basri Nur Amalina Nadiah , Mohd Kamal Nur Liyana , Mohamad Daud , Itam Zarina , Sivakumar N. , Ahmad Zailani Warid Wazien , Mohamed Nazri Fadzli
Published: July 2024

Coal combustion by Products (CCPs) are produced during coal combustion in the process of electric generation. Without proper handling system, this will cause serious problems towards human and environmental. Nevertheless, with proper treatment, these ashes are applicable in many areas specially building construction materials. Coal Bottom Ash, Coal Fly Ash and Cenosphere are three main wastes produced from power plant. The aim of this study is to determine the characteristics of samples collected from different parts of Malaysia Power Plant. Characterization testing involved included surface morphology, chemical composition (oxides), chemical components, amorphousness, and particle size distribution testing. From this study, CBA have more angular-shaped particles compared to CFA which is smoother surface morphology. However, Cenosphere shown the most uniform and spherical shaped particles. EDS testing shown Existing CBA have highest Carbon content (46%) while Cenosphere is lowest (11.38%). The percentage oxides contents for all samples demonstrate more than 70% of Total SiO2 + Al2O3 + Fe2O3. Hence, all ashes considered as Class F (pozzolanic). CBA, SFA, CFA and cenosphere has significantly more amorphous phases of silica and alumina, and this will increase the concrete strength. Due to agglomeration of ashes on ash pond, the cumulative PSDs results shown that the particle size of the existing sample obtained larger than the new sample. Minimum particles size of SFA (New Dry) is 2 µm while SFA (Existing 2) is 20 µm. From characteristic determination above, it shown that each type of ashes has its own uniqueness and capability to be applied wide range of applications.
Spatial analysis of ambient heavy metal pollutants in the tree leaves in Kanchipuram town, Tamil Nadu, India
Authors: Ramesh Sumathi
Published: July 2024

Spatial distribution and accumulation of nine harmful heavy metals (Pb, Zn, Mn, Fe, Cr, Cu, Cd, As and Al) on the leaf surfaces of five tree species namely Saraca asoca, Ficus religiosa, Syzygium cumini, Pongamia glabra and Terminalia catappa were analysed to identify the level of contamination of ambient air in Kanchipuram town, TamilNadu. The leaf samples were collected during February-March 2018 from six sites located within the town in the distributed manner and analysed by using inductively coupled plasma mass spectrometry. The results revealed that the concentration of As, Cd, Cr and Pb were invariably found lesser than their detectable limit, Fe (289mg/kg), Al (162mg/kg) was identified to be maximized, Cu, Mn and Zn lower levels. The absorption capacity of Ficus religiosa was poor and other species were shown good responses. The concentrations of Al, Cu, Fe, Mn and Zn were very low in sites 1, 2, 3, 6 where the trees were numerous and found high at sites 4 and 5 may be due to anthropogenic activities and vehicular emission. According to the analysis, the selected species performed as bio indicators and were developed around the industries to maintain greenbelts and enhance air quality.
Mit Leichtigkeit tanzen – Verletzungsprophylaxe im Hochleistungstanz
Authors: Kaufmann Judith-Elisa , Keller Cindy
Published: July 2024

Leistungsorientierte Tänzer haben ein hohes Verletzungsrisiko. Ihre Sportart erfordert außergewöhnliche Fähigkeiten. Behandelnde Therapeuten und Ärzte sollten darüber Bescheid wissen, um leistungsorientierte Tänzer sowohl bei der Prävention als auch bei der Genesung optimal unterstützen zu können.
Grundlagen der Tanzmedizin
Authors: Exner-Grave Elisabeth
Published: July 2024

Der moderne Tanz mit all seinen Formen hat eine lange Tradition. Er ist nicht nur „Freizeitbeschäftigung“, sondern für professionelle Tänzerinnen und Tänzer Hochleistungssport – sei es im Ballett, im Tanztheater oder beim „Breaken“. Die recht junge Disziplin der „Tanzmedizin“ hat sich auf diesen besonderen Sport spezialisiert.
Development and Validation of a Nomogram for Predicting Sepsis-Induced Coagulopathy in Septic Patients: Mixed Retrospective and Prospective Cohort Study
Authors: Li Yuting , Zhang Liying , Wang Youquan , Gao Meng , Zhang Chaoyang , Zhang Yuhan , Zhang Dong
Published: July 2024

Background Sepsis-induced coagulopathy (SIC) is a common cause of poor prognosis in critically ill patients in the intensive care unit (ICU). However, currently there are no tools specifically designed for predicting the occurrence of SIC in septic patients earlier. This study aimed to develop a predictive nomogram incorporating clinical markers and scoring systems to individually predict the probability of SIC in septic patients.

Methods Patients consecutively recruited in the stage between January 2022 and April 2023 constituted the development cohort for retrospective analysis to internally test the nomogram, and patients in the stage between May 2023 to November 2023 constituted the validation cohort for prospective analysis to externally validate the nomogram. Univariate logistic regression analysis of the development cohort was performed firstly, and then multivariate logistic regression analysis was performed using backward stepwise method to determine the best-fitting model and obtain the nomogram from it. The nomogram was validated in an independent external validation cohort, involving discrimination and calibration. A decision curve analysis was also performed to evaluate the net benefit of the insertion decision with this nomogram.

Results A total of 548 and 245 patients, 55.1 and 49.4% with SIC occurrence, were included in the development and validation cohorts, respectively. Predictors contained in the prediction nomogram included shock, platelets, and international normalized ratio (INR). Patients with shock (odds ratio [OR]: 4.499; 95% confidence interval [CI]: 2.730–7.414; p < 0.001), higher INR (OR: 349.384; 95% CI: 62.337–1958.221; p < 0.001), and lower platelet (OR: 0.985; 95% CI: 0.982–0.988; p < 0.001) had higher probabilities of SIC. The development model showed good discrimination, with an area under the receiver operating characteristic curve (AUROC) of 0.879 (95% CI: 0.850–0.908) and good calibration. Application of the nomogram in the validation cohort also gave good discrimination with an AUROC of 0.872 (95% CI: 0.826–0.917) and good calibration. The decision curve analysis of the nomogram provided better net benefit than the alternate options (intervention or no intervention).

Conclusion By incorporating shock, platelets, and INR in the model, this useful nomogram could be accessibly utilized to predict SIC occurrence in septic patients. However, external validation is still required for further generalizability improvement of this nomogram.
Selective Synthesis of Deuterated cis- and trans-Isohumulones and trans-Isohumulinones
Authors: Hamper Bruce C. , Campbell Hunter J. , Luo Rensheng , Murphy Matthew , Gleason Patrick , Smith Trevor , Jagan Rajamoni
Published: July 2024

Deuterated isohumulones can be prepared directly from humulones by an acyloin ring contraction under either magnesium-catalyzed basic conditions or by photochemical-induced reactions in deuterated solvents. Reactions of humulones with biphasic methylene chloride/aqueous NaOD and MgSO4 in D2O leads to stereoselective formation of cis-d
3-isohumulones (cis/trans ratio of 82:18) as the magnesium salts in yields of 71–83%. Greater than 95% incorporation of three deuterons is observed at the C5 position of the pentenone ring and the methylene position of the C4 acyl group. Photochemical isomerization with a 400 nm blue LED source enables stereospecific formation of deuterated trans-isohumulones in 36–82% yield with greater than 95% incorporation of deuterium at the C5 ring position. Oxidation of humulones with cumene hydroperoxide in basic D2O gives isohumulinones with partial 55–73% incorporation of deuterium due to keto–enol isomerization of the methylene substituent of the C4 acyl group. The structural identities of the deuterated products are determined by a combination of negative-mode electrospray mass spectrometry (MS-ESI–) and 2D heteronuclear proton–carbon HMQC NMR analysis.
Elevated HSPB1 Expression Is Associated with a Poor Prognosis in Glioblastoma Multiforme Patients
Authors: Wang Zhihua , Fang Zhaohua , Gui Yongping , Xi Bin , Xie Zhiping
Published: July 2024

Background Glioblastoma multiforme (GBM) is a highly aggressive form of brain cancer. This study investigated the clinical predictive value of heat shock protein β1 (HSPB1) in patients with GBM.

Methods A correlation was established between HSPB1 expression and GBM progression using data from The Cancer Genome Atlas (TCGA) dataset, Chinese Glioma Genome Atlas dataset, Gene Expression Omnibus dataset, and Human Protein Atlas database. A survival analysis was conducted and an HSPB1-based nomogram was constructed to evaluate the prognostic value of HSPB1 in patients with GBM.

Results Based on TCGA data mining, we discovered that HSPB1 was significantly elevated in patients with GBM and may reflect their response to immunotherapy. In survival analysis, it appeared to have a predictive role in the prognosis of patients with GBM. Five signaling pathways were significantly enriched in the high HSPB1 expression phenotype according to the gene set enrichment analysis. In addition, a significant association was found between HSPB1 expression and immune checkpoints, tumor immune infiltration, tumor immune microenvironment, and immune cell markers in glioma. Overall, our results suggest that HSPB1 may regulate the function of immune cells, serve as a new immunotherapy target, and predict the response to immunotherapy in patients with GBM.

Conclusion HSPB1 appears to serve as a potential predictor of the clinical prognosis and response to immunotherapy in patients with GBM. It may be possible to identify patients who are likely to benefit from immunotherapy by assessing the expression level of HSPB1.
Predicting Provider Workload Using Predicted Patient Risk Score and Social Determinants of Health in Primary Care Setting
Authors: Jiang Yiqun , Huang Yu-Li , Watral Alexandra , Blocker Renaldo C. , Rushlow David R.
Published: July 2024

Background Provider burnout due to workload is a significant concern in primary care settings. Workload for primary care providers encompasses both scheduled visit care and non–visit care interactions. These interactions are highly influenced by patients' health conditions or acuity, which can be measured by the Adjusted Clinical Group (ACG) score. However, new patients typically have minimal health information beyond social determinants of health (SDOH) to determine ACG score.

Objectives This study aims to assess new patient workload by first predicting the ACG score using SDOH, age, and gender and then using this information to estimate the number of appointments (scheduled visit care) and non–visit care interactions.

Methods Two years of appointment data were collected for patients who had initial appointment requests in the first year and had the ACG score, appointment, and non–visit care counts in the subsequent year. State-of-art machine learning algorithms were employed to predict ACG scores and compared with current baseline estimation. Linear regression models were then used to predict appointments and non–visit care interactions, integrating demographic data, SDOH, and predicted ACG scores.

Results The machine learning methods showed promising results in predicting ACG scores. Besides the decision tree, all other methods performed at least 9% better in accuracy than the baseline approach which had an accuracy of 78%. Incorporating SDOH and predicted ACG scores also significantly improved the prediction for both appointments and non–visit care interactions. The R
2 values increased by 95.2 and 93.8%, respectively. Furthermore, age, smoking tobacco, family history, gender, usage of injection birth control, and ACG were significant factors for determining appointments. SDOH factors such as tobacco usage, physical exercise, education level, and group activities were strongly correlated with non–visit care interactions.

Conclusion The study highlights the importance of SDOH and predicted ACG scores in predicting provider workload in primary care settings.
Activity Levels in Seven Cats with Osteoarthritis Monitored by GPS Tracker Following Frunevetmab Injection
Authors: Power Ashley M. , St Germaine Lindsay L.
Published: July 2024

Objective The goal of the current pilot study was to use a commercially available accelerometer (Tractive GPS Tracker for Cats) in a setting evaluating the activity level of cats exhibiting different forms of osteoarthritis in their natural habitat before and after treatment with frunevetmab, using each individual cat as its own control. We hypothesized that treatment with frunevetmab would be associated with increased activity level.

Methods Activity data, measured as minutes of active time per day via accelerometer worn on a collar, were obtained from seven employee-owned cats with radiographically confirmed evidence of osteoarthritis. Cats were randomly assigned to two different protocols in which treatment and no treatment (control) were reversed; that is, undergoing the control period prior to treatment with frunevetmab (“standard” control) versus first assessed without treatment (control period) followed by frunevetmab treatment after minimum 30-day washout period (“inverse” control period).

Results Activity time, on average, was 30 minutes longer per day for frunevetmab versus control (p = 0.007).

Conclusions Based on measurements obtained with piloted use of the Tractive, the activity level in osteoarthritic cats appeared greater when treated with frunevetmab compared to self-control without frunevetmab treatment (either pretreatment or following washout period). The small sample size here does warrant caution in interpreting results for a broader population.
Why do women develop lower levels of political interest? Examining the influence of education, family socialisation and adult roles
Authors: Pensiero Nicola , Janmaat Jan Germen
Published: July 2024

The political interest of men rises faster than that of women during late adolescence and early adulthood in Britain (Fraile and Sánchez-Vítores in Polit Psychol 41(1):89–106, 2020). This paper analyses whether factors relating to education, the assumption of adult roles and family background can explain this growing disparity. We use panel data of the British Household Panel Study (BHPS) and Understanding Society (USoc) to examine these factors. Education turns out to be the only factor that is related to different growth trajectories of political interest between men and women. Women with lower levels of education or vocational qualifications show stable or declining levels of political interest while all other categories show rising levels of interest between ages 16 and 30. Education can, however, only partially account for the rising gender gap. Variables representing the attainment of adult roles, such as occupational status, marital status and household composition, and variables capturing family socialisation are not linked to the growing disparity of political interest between men and women. Most of this gap thus remains unexplained.
Visible and invisible factors affecting the job satisfaction of agency home caregivers in the UK
Authors: Lan Andrew , Liu Xu , Zhao Xiantong , Liang Zhen
Published: July 2024

This qualitative study investigates the factors that affect the job satisfaction of home caregivers. It draws upon a thematic analysis of data from in-depth interviews with home caregivers in the UK and finds that both visible and invisible factors have an effect. Overall factors pertaining to the way the caregiving agencies are run and behave have a significant influence on caregivers’ job satisfaction. Identifying these factors will assist both policymakers and professional care agencies to be aware of the needs of caregivers in practice. These experiences can be used as references to handle the challenges of an ageing society in other countries with similar care industry characteristics.
Predictive analysis of college students’ academic procrastination behavior based on a decision tree model
Authors: Song Pu , Liu Xiangwei , Cai Xuan , Zhong Mengmeng , Wang Qingqing , Zhu Xiangmei
Published: July 2024

Predicting academic procrastination among college students in the context of a public crisis could provide essential academic support and decision-making strategies for higher education institutions to promote student psychological health. Notably, research focusing on predicting academic procrastination behavior among college students in the context of a global crisis is still limited. The purpose of this study is to address this gap by constructing a predictive model based on the decision tree algorithm to predict academic procrastination behavior among college students. A total of 776 college students from the Guangxi Zhuang Autonomous Region of China participated in this study. The study gathered data from multiple aspects relevant to academic procrastination behavior, including demographic information, academic achievements, subjective well-being, smartphone addiction, negative emotions, self-esteem, life autonomy, pro-environmental behavior, academic achievement, and sense of school belonging. Descriptive statistical analysis was conducted utilizing SPSS version 26.0, and decision tree model analysis was performed with Modeler 18.0. The findings of this study identified eight predictive factors of college students’ academic procrastination in order of importance: subjective well-being, smartphone addiction, negative emotions, self-esteem, life autonomy, pro-environmental behavior, academic performance, and sense of school belonging. The model accuracy was 85.78%, and indicating a relatively high level of prediction. The findings of this study not only provided a new perspective for understanding academic procrastination but also offered practical guidance for educators on how to mitigate this behavior.
Speculative culture and corporate high-quality development in China: mediating effect of corporate innovation
Authors: Li Bin , Li Honglei , Sun Guangfan , Tao Jiayi , Lu Chongluan , Guo Changwei
Published: July 2024

This paper associates the speculative culture with the corporate total factor productivity (TFP), aiming to explore the influence of speculative culture on corporate high-quality development. The results reveal that the presence of a speculative atmosphere varies across different regions in China, leading to uneven development among companies located in these regions. Specifically, companies situated in regions with a weaker speculative culture demonstrate higher TFP. The finding suggests a causal relationship between speculative culture and corporate high-quality development by adopting an instrumental variable test using natural calamities. Moreover, the research indicates that speculative culture can impact corporate high-quality development by influencing their innovation activities. Additionally, the study identifies heterogeneous effects of speculative culture on companies of different sizes and levels of analyst attention. The implications of this research shed light on the influence of speculative culture on the real economy, providing insights into the informal institutional factors contributing to the corporate high-quality development in different geographical areas. These findings contribute to the promotion of economic high-quality development at the geographical level and inform related policy formulation.
Propagation dynamics of multipole solitons generated in dissipative systems
Authors: Wang Haowen , Wen Jianjun , Xiao Yan
Published: July 2024

The propagation dynamics of multipole solitons generated in dissipative systems are investigated numerically based on the fractional complex cubic-quintic Ginzburg–Landau equation using the Airy beam as the input beam. The effect of different parameter values on the generation of stable solitons is explored. In addition, we observe different resultant domains of the input beam evolving in the linear loss coefficient or cubic gain coefficient and Lévy index parameter planes. The results show that the evolution can lead to the formation of stable multipole solitons. It is also demonstrated that two solitons merge to form a single soliton. And, the relation between the merger distance and the initial amplitude is given.
Efficacy of radiation attenuating caps in reducing radiation doses received at the cerebral level in interventional physicians: a systematic review
Authors: Ramos-Avasola Sergio , Ponce Lusin , Leon Karla , Cuellar-Fritis Claudio , Querales Marvin
Published: July 2024

Background. Anecdotal reports are appearing in the scientific literature about cases of brain tumors in interventional physicians who are exposed to ionizing radiation. In response to this alarm, several designs of leaded caps have been made commercially available. However, the results reported on their efficacy are discordant. Objective. To synthesize, by means of a systematic review of the literature, the capacity of decreasing radiation levels conferred by radiation attenuating devices (RADs) at the cerebral level of interventional physicians. Methodology. A systematic review was performed including the following databases: MEDLINE, SCOPUS, EBSCO, Science Direct, Cochrane Controlled Trials Register (CENTRAL), WOS, WHO International Clinical Trials Register, Scielo and Google Scholar, considering original studies that evaluated the efficacy of RAD in experimental or clinical contexts from January 1990 to May 2023. Data selection and extraction were performed in triplicate, with a fourth author resolving discrepancies. Results. Twenty articles were included in the review from a total of 373 studies initially selected from the databases. From these, twelve studies were performed under clinical conditions encompassing 3801 fluoroscopically guided procedures, ten studies were performed under experimental conditions with phantoms, with a total of 88 procedures, four studies were performed using numerical calculations with a total of 63 procedures. The attenuation and effectiveness of provided by the caps analyzed in the present review varying from 12.3% to 99.9%, and 4.9% to 91% respectively. Conclusion. RAD were found to potentially provide radiation protection, but a high heterogeneity in the shielding afforded was found. This indicates the need for local assessment of cap efficiency according to the practice.
An improved ensemble learning model-based strategy for fault diagnosis of lithium battery double roller press equipment
Authors: Xiao Yanjun , Song Weihan , Yin Shanshan , Wan Feng , Liu Weiling , Zhang Nannan
Published: July 2024

The production process of lithium batteries is intricate, involving the coordination of various types of equipment. The stability and precision of double roller press equipment directly affect product performance. With the increasing global demand for green energy, the application of lithium batteries in electric vehicles and energy storage systems is expanding, which imposes higher requirements on the stability and quality of lithium battery production. It is an important topic to address the challenges brought about by the gradual intelligentization of double roller presses, such as the complexification of control systems and the diversification of fault reasons. This paper proposes an enhanced ensemble learning model-based fault diagnosis strategy for lithium battery double roller press equipment. Firstly, the K-nearest neighbors algorithm is employed to handle missing data, combined with normalization and standardization methods to improve feature processing, thereby enhancing data quality. Secondly, the Maximum Information Coefficient algorithm is utilized to select features highly correlated with fault labels, combined with the Recursive Feature Elimination with Cross-Validation to further optimize feature selection, creating an optimal feature subset. Finally, a RXS-XGBoost model is constructed through the Stacking ensemble learning method, selecting Random Forest, XGBoost, and Support Vector Machines as base learners, with XGBoost as the meta-learner. This ensemble approach aims to leverage the complementary advantages of different algorithms, enhancing the accuracy and robustness of fault diagnosis. The experimental results demonstrate that this improved ensemble learning diagnostic strategy achieves an accuracy rate of up to 99.05%, which is significantly better than other fault diagnosis strategies. It not only effectively reduces the model’s training complexity and the risk of overfitting but also significantly enhances the efficiency and precision of fault diagnosis for lithium battery double roller press equipment.
Experimental uncertainty evaluation by measuring a micro gear standard using focus variation
Authors: Gauder Daniel , Gölz Johannes , Bott Alexander , Stein Martin , Lanza Gisela
Published: July 2024

Micro gears play an increasingly important role in various industrial applications, and the minimization of their deviations is challenging for metrology and manufacturing. A promising method is the focus variation technology, which enables areal measurements of micro gears. Practice-related standards are used to determine measurement uncertainties by comparison with calibration values. In this work, the external micro gear standard of the Physikalisch–Technische Bundesanstalt is used to evaluate experimental measurement uncertainties of a focus variation coordinate measurement system for the first time. The traceable standard with modules between 0.1 and 1 mm is calibrated using micro tactile coordinate measurements. Optical and tactile measurements are then compared. As a result, small expanded measurement uncertainties of less than 4 μm are achieved.
Compensation method of the spiral bevel gear tooth surface error based on eight tooth-surface fitting
Authors: Zhou Lihua , Fang Suping , Liu Yongsheng , Li Yuan , Taguchi Tetsuya , Takeda Ryohei
Published: July 2024

The misalignment error between the gear theoretical coordinate system and the actual gear coordinate system is illustrated, as well as its influence on the measurement of tooth surface deviation is discussed. In the analysis of the tooth convex and concave surface error measurement process, the measured points in the theoretical coordinate system are transformed from the actual measured points in the actual coordinate system. Then, an eight tooth-surface fitting method is utilized to calculate the misalignment error and a compensation method is given. Finally, actual measurements of three different spiral bevel gears are analyzed, and the misalignment error is calculated. Using the proposed compensation method, both the eccentricity and tilt are compensated to some extent. The machining suggestions for each spiral bevel gear are also given according to its compensated tooth surface error distribution.
Optimization of e-beam lithography parameters for nanofabrication of sub-50 nm gold nanowires and nanogaps based on a bilayer lift-off process
Authors: Sahin Osman , Albayrak Oguz Mustafa , Yapici Murat Kaya
Published: July 2024

Electron beam lithography (EBL) stands out as a powerful direct-write tool offering nanometer-scale patterning capability and is especially useful in low-volume R&D prototyping when coupled with pattern transfer approaches like etching or lift-off. Among pattern transfer approaches, lift-off is preferred particularly in research settings, as it is cost-effective and safe and does not require tailored wet/dry etch chemistries, fume hoods, and/or complex dry etch tools; all-in-all offering convenient, ‘undercut-free’ pattern transfer rendering it useful, especially for metallic layers and unique alloys with unknown etchant compatibility or low etch selectivity. Despite the widespread use of the lift-off technique and optical/EBL for micron to even sub-micron scales, existing reports in the literature on nanofabrication of metallic structures with critical dimension in the 10–20 nm regime with lift-off-based EBL patterning are either scattered, incomplete, or vary significantly in terms of experimental conditions, which calls for systematic process optimization. To address this issue, beyond what can be found in a typical photoresist datasheet, this paper reports a comprehensive study to calibrate EBL patterning of sub-50 nm metallic nanostructures including gold nanowires and nanogaps based on a lift-off process using bilayer polymethyl-methacrylate as the resist stack. The governing parameters in EBL, including exposure dose, soft-bake temperature, development time, developer solution, substrate type, and proximity effect are experimentally studied through more than 200 EBL runs, and optimal process conditions are determined by field emission scanning electron microscope imaging of the fabricated nanostructures reaching as small as 11 nm feature size.
On fundamental inconsistencies in a commonly used modification of a fluid model for glow discharge
Authors: Zhou Chen , Rafatov Ismail , Wang Ying , Kudryavtsev Anatoly , Yuan Chengxun , Yao Jingfeng , Zhou Zhongxiang
Published: July 2024

This work considers the fundamental contradictions in the concept of one of the most well-known and widely used modifications of the fluid model for simulation of a glow discharge (GD), the ‘local mean energy approximation’ (LMEA). In this model, it is proposed to determine the kinetic coefficients in the electron particle and energy balance equations as functions of the electron mean energy (temperature) rather than local electric field, using a one-to-one correspondence between these parameters through the electron Boltzmann equation. It is shown that the scope of applicability of this model, like any other modification of the fluid model, is limited by the local mode of formation of the electron energy distribution function (EEDF). Therefore, as demonstrated by the examples of typical 1D and 2D problems for a GD in argon, its extension to the region of nonlocal EEDF is in no way justified and leads not only to serious errors in the results, but also to a logically intractable situation in attempts to apply the main postulate of the LMEA model to the region of a weak (or even reverse) electric field in a negative glow plasma. At the same time, the apparent reliability of calculations within the framework of the LMEA model for a number of parameters, in our opinion, only slows down progress in modeling of gas discharge plasma.
QHopNN: investigating quantum advantage in cryptanalysis using a quantum hopfield neural network
Authors: S Hariharasitaraman , Mishra Nilamadhab , D Vishnuvardhanan
Published: July 2024

Cryptanalysis is crucial for securing cryptographic systems, particularly with the advent of quantum computing, which threatens traditional encryption methods. Advanced cryptanalytic techniques are essential for developing robust systems that can withstand quantum attacks, ensuring encrypted data remains secure and accessible only to authorized parties. This paper introduces the Quantum Hopfield Neural Network (QHopNN) as a novel approach to enhance key recovery in symmetric ciphers. This research provides valuable insights into integrating quantum principles with neural network architectures, paving the way for more secure and efficient cryptographic systems. By leveraging quantum principles like superposition and entanglement, along with Hopfield networks’ pattern recognition and optimization capabilities, QHopNN achieves superior accuracy and efficiency in deciphering encrypted data. Additionally, integrating unitary quantum evolution with dissipative dynamics further enhances the cryptographic robustness and efficiency of QHopNN. The proposed framework is rigorously evaluated using prominent symmetric ciphers, including S-AES and S-DES, and benchmarked against existing state-of-the-art techniques. Experimental results compellingly demonstrate the superiority of QHopNN in key recovery, with a mean Bit Accuracy Probability (BAP) of 0.9706 for S-AES and 0.9815 for S-DES, significantly outperforming current methods. This breakthrough opens new avenues for advancing cryptanalysis and sets the stage for pioneering future research in quantum-inspired cryptographic techniques.
Structural elucidation, morphological properties, dielectric properties and their physical interpretation of cerium-substituted cobalt and barium-based M-type hexagonal nano ferrites
Authors: Jain Ankit , Singh Charanjeet , Godara Sachin Kumar , Jotania Rajshree B , Parmar Dipti , Kaur Varinder , Sood Ashwani Kumar
Published: July 2024

This research uses the sol–gel method to look into how adding Co2+ and Ce3+ dopant cations changes the structure, shape, and electrical properties of M-type Ba hexagonal ferrites that have been synthesized. x-ray diffraction (XRD) analysis confirms the successful formation of the targeted hexagonal M-type crystal structure. We observed a reduction in unit cell volume and lattice parameters as the dopant concentration increased, indicating the effective incorporation of dopant ions into the crystal lattice. When the doping process happened, needle-like grain shapes appeared, which could be seen with a field emission scanning electron microscope (FESEM). As the concentration of the dopant increased, the dielectric spectroscopic measurements revealed an increase in the loss tangent (tan δ) from 0.05 to 3.68, and a decrease in the dielectric constant (ε′) from 283 to 3.41. This suggests a reduction in polarization and dielectric permittivity, as well as increased energy dissipation within the material. The electric modulus spectra showed relaxation behaviour that was non-Debye-type, which is another sign that there are complex and multifaceted ways for charges to move. The measurements of relaxation time and AC conductivity showed that the relaxation intervals were not regular and that the conductivity dropped from 2.22*10–4 Ω−1m−1 to 1.4*10–7 Ω−1m−1 as the doping concentration increased. Based on these findings, it seems that the processes of conductivity and dielectric relaxation play a big role in how charges move around in the doped ferrites. We validated complex impedance data obtained through electrochemical impedance spectroscopy (EIS) software against calculated impedance values. The derived grain and grain boundary characteristics also agreed with the observed grain distribution and boundaries from the micrographs, further corroborating the analysis.
Nonlinear simulations of the peeling-ballooning instability of super H-modes in the HL-3 tokamak
Authors: Zhu Yiren , Zhong Wulyu , Zou Xiaolan , Li Jiaxian , Xue Miao , Li Zhengji , Xue Lei , Xiao Guoliang , Tong Ruihai , Zou Yunpeng , Yin Jiao , Liang Anshu , Liu Linzi , Yuan Boda , Xu Min ,   HL-3 Team
Published: July 2024

As the newly built tokamak in China, HL-3 will explore high-performance operation scenarios, such as super H-mode. The energy confinement and core parameters in the super H-mode can be much larger than that in the normal H-mode. Based on the pedestal simulation code EPED, the operation space of the super H-mode is obtained in HL-3. Magnetic shear decreases with increasing triangularity; consequently, a super H-mode can be achieved. The threshold of triangularity for accessing a super H-mode in HL-3 is around 0.4. By using BOUT++, a nonlinear simulation study of the pedestal instabilities in the super H-mode equilibrium is executed for the first time. As expected, the low n peeling mode, which can cause much of the energy loss (17%) from the pedestal region, is dominant in the super H-mode. Such a large collapse in the pedestal region would lead to a transition from super H-mode to H-mode. It is crucial to expand the parameter space of the super H-mode or mitigate the edge-localized mode (ELM) size for sustaining the super H-mode operations. The E × B velocity shear is found to play an important role in controlling the ELMs in HL-3. The small E × B velocity shear leads to a large growth rate but results in a small ELM size around the peeling boundary. The ELM size is closely related to both the growth rate of peeling-ballooning mode and the duration time of the linear phase. In contrast, a large E × B velocity shear can stabilize the instabilities near the ballooning boundary. Next, the parameter space of the super H-mode can be enlarged.