bluuebunny/crossref_metadata_2025 huggingface dataset:
Subgroup identification of targeted therapy effects on biomarker for time to event data
Authors: Vishwakarma Gajendra K. , Bhattacharjee Atanu , Tank Fatih , Pashchenko Alexander F.
Published: November 2023

BACKGROUND: The initiation biomarker-driven trials have revolutionized oncology drug development by challenging the traditional phased approach and introducing basket studies. Notable successes in non-small cell lung cancer (NSCLC) with ALK, ALK/ROS1, and EGFR inhibitors have prompted the need to expand this approach to other cancer sites. OBJECTIVES: This study explores the use of dose response modeling and time-to-event algorithms on the biomarker molecular targeted agent (MTA). By simulating subgroup identification in MTA-related time-to-event data, the study aims to develop statistical methodology supporting biomarker-driven trials in oncology. METHODS: A total of n patients are selected assigned for different doses. A dataset is prepared to mimic the situation on Subgroup Identification of MTA for time to event data analysis. The response is measured through MTA. The MTA value is also measured through ROC. The Markov Chain Monte Carlo (MCMC) techniques are prepared to perform the proposed algorithm. The analysis is carried out with a simulation study. The subset selection is performed through the Threshold Limit Value (TLV) by the Bayesian approach. RESULTS: The MTA is observed with range 12–16. It is expected that there is a marginal level shift of the MTA from pre to post-treatment. The Cox time-varying model can be adopted further as causal-effect relation to establishing the MTA on prolonging the survival duration. The proposed work in the statistical methodology to support the biomarker-driven trial for oncology research. CONCLUSION: This study extends the application of biomarker-driven trials beyond NSCLC, opening possibilities for implementation in other cancer sites. By demonstrating the feasibility and efficacy of utilizing MTA as a biomarker, the research lays the foundation for refining and validating biomarker use in clinical trials. These advancements aim to enhance the precision and effectiveness of cancer treatments, ultimately benefiting patients.
STEAP3 is a prognostic biomarker that promotes glioma progression by regulating immune microenvironment and PI3K-AKT pathway
Authors: Song Zihan , Zhao Zijun , Zhu Siyu , Jin Qianxu , Shi Yunpeng , Zhang Shiyang , Wang Zairan , Wang Yizheng , Zhao Zongmao
Published: November 2023

BACKGROUND: STEAP3 is a metal reductase located on the plasma membrane close to the nucleus and vesicles. Despite numerous studies indicating the involvement of STEAP3 in tumor advancement, the prognostic value of STEAP3 in glioma and the related mechanisms have not been fully investigated. METHODS: Initially, we examined the correlation between STEAP3 expression and the survival rate in various glioma datasets. To assess the prognostic capability of STEAP3 for one-year, three-year, and five-year survival, we created receiver operating characteristic (ROC) curves and nomograms. Additionally, an investigation was carried out to examine the mechanisms that contribute to the involvement of STEAP3 in gliomas, including immune and enrichment analysis. To confirm the expression of STEAP3 in LGG and GBM, tumor tissue samples were gathered, and cell experiments were conducted to explore the impacts of STEAP3. The function of STEAP3 in the tumor immune microenvironment was assessed using the M2 macrophage infiltration assay. RESULTS: We found that STEAP3 expressed differently in group with different age, tumor grade IDH and 1p19q status. The analysis of survival illustrated that glioma patients with high level of STEAP3 experienced shorter survival durations, especially for IDH-mutant astrocytoma. Cox analysis demonstrated that STEAP3 had potential to act as an independent prognostic factor for glioma. The predictive value of STEAP3 for glioma prognosis was demonstrated by ROC curves and nomogram. Immune analysis showed that STEAP3 may lead to a suppressive immune microenvironment through the control of immunosuppressive cell infiltration and Cancer-Immunity Cycle. Combining enrichment analysis and cell experiments, we discovered that STEAP3 can promote glioma progression through regulation of PI3K-AKT pathway and M2 macrophage infiltration. CONCLUSION: STEAP3 plays significant roles in the advancement of glioma by regulating immune microenvironment and PI3K-AKT pathway. It has the potential to serve as a therapy target for glioma.
Adaptive membership enhanced fuzzy classifier with modified LSTM for automated rainfall prediction model
Authors: Pachpor Nishant Nilkanth , Kumar B. Suresh , Prasad Prakash S.
Published: November 2023

Nowadays, various research works is explored to predict the rainfall in the different areas. The emerging research is assisted to make effective decision capacities that are involved in the field of agriculture broadly related to the irrigation process and cultivation. Here, the atmospheric and climatic factors such as wind speed, temperature, and humidity get varies from one place to another place. Thus, it makes the system more complex, and it attains higher error rate during computation for providing accurate rainfall prediction results. In this paper, the major intention is to design an advanced Artificial Intelligent (AI) model for rainfall prediction for different areas. The rainfall data from diverse areas are collected initially, and data cleaning is performed. Further, data normalization is done for ensuring the proper organization and related data in each record. Once these pre-processing phases are completed, rainfall recognition is the main step, in which Adaptive Membership Enhanced Fuzzy Classifier (AME-FC) is adopted for classifying the data into low, medium, and high rainfall. Then for each degree of low, medium, and high rainfall, the prediction process is performed individually by training the developed Tri-Long Short-Term Memory (TRI-LSTM). Additionally, the output achieved from the trained TRI-LSTM rainfall prediction in cm for each low, medium, and high rainfall. The meta-heuristic technique with Hybrid Moth-Flame Colliding Bodies Optimization (HMFCBO) enhances the recognition and prediction phases. The experimental outcome shows that the different rainfall prediction databases prove the developed model overwhelms the conventional models, and thus it would be helpful to predict more accurate rainfall.
An effective process of VM migration with hybrid heuristic-assisted encryption technique for secured data transmission in cloud environment
Authors: Infantia H. Niroshini , Anbuananth C. , Kalarani S.
Published: November 2023

The virtualization of hardware resources like network, memory and storage are included in the core of cloud computing and are provided with the help of Virtual Machines (VM). The issues based on reliability and security reside in its acceptance in the cloud environment during the migration of VMs. VM migration highly enhanced the manageability, performance, and fault tolerance of cloud systems. Here, a set of tasks submitted by various users are arranged in the virtual cloud computing platform by using a set of VMs. Energy efficiency is effectively attained with the help of a loadbalancing strategy and it is a critical issue in the cloud environment. During the migration of VMs, providing high security is a very important task in the cloud environment. To resolve such challenges, an effective method is proposed using an optimal key-based encryption process. The main objective of this research work is to perform the VM migration and derive the multi-objective constraints with the help of hybrid heuristic improvement. The optimal VM migration is achieved by the hybrid algorithm as Improved Binary Battle Royale with Moth-flame Optimization (IBinBRMO). It can also be used to derive the multi-objective functions by some constraints like resource utilization, active servers, makespan, energy consumption, etc. After VM migration, the data transmission should take place securely between the source and destination. To secure the data, the HybridHomophorphic and Advanced Encryption Standard(HH-AES) Algorithm, where IBinBRMO optimizes the key. After optimizing the keys, the data are securely transformed along with multi-objective functions using parameters includingthe degree of modification, hiding failure rate and information preservation rate. Thus, the effectiveness is guaranteed and analyzed with other classical models. Hence, the results illustrate that the proposed work attains better performance.
Financial sentiment analysis: Classic methods vs. deep learning models
Authors: Karanikola Aikaterini , Davrazos Gregory , Liapis Charalampos M. , Kotsiantis Sotiris
Published: November 2023

Sentiment Analysis, also known as Opinion Mining, gained prominence in the early 2000s alongside the emergence of internet forums, blogs, and social media platforms. Researchers and businesses recognized the imperative to automate the extraction of valuable insights from the vast pool of textual data generated online. Its utility in the business domain is undeniable, offering actionable insights into customer opinions and attitudes, empowering data-driven decisions that enhance products, services, and customer satisfaction. The expansion of Sentiment Analysis into the financial sector came as a direct consequence, prompting the adaptation of powerful Natural Language Processing models to these contexts. In this study, we rigorously test numerous classical Machine Learning classification algorithms and ensembles against five contemporary Deep Learning Pre-Trained models, like BERT, RoBERTa, and three variants of FinBERT. However, its aim extends beyond evaluating the performance of modern methods, especially those designed for financial tasks, to a comparison of them with classical ones. We also explore how different text representation and data augmentation techniques impact classification outcomes when classical methods are employed. The study yields a wealth of intriguing results, which are thoroughly discussed.
A Literature Review on the Burden of Alzheimer’s Disease on Care Partners
Authors: Frederiksen Kristian Steen , Lanctôt Krista L. , Weidner Wendy , Hahn-Pedersen Julie Hviid , Mattke Soeren
Published: November 2023

Background:

Many individuals with Alzheimer’s disease (AD) are dependent on nonprofessional care partners. Providing informal care can result in emotional, physical, and financial burdens; however, there is a need for a better understanding of the impact of AD on care partners to support the clinical and economic assessment of potential new treatments.

Objective:

We conducted a literature review to evaluate the burden experienced by care partners of individuals with AD.

Methods:

Electronic screening and supplementary searches identified studies published from 2011 to 2022 describing the association between AD and the quality of life (QoL) and physical health of care partners, and the economic or financial burden of AD.

Results:

Following electronic screening, 62, 25, and 39 studies were included on care partner burden, cost, and healthcare resource use in AD, respectively. Supplementary searches identified an additional 32 studies, resulting in 149 unique studies. These studies showed that care partners of individuals with AD report moderate to severe burden. Higher burden and lower QoL were observed in those caring for individuals with more severe AD. Care partners of individuals with AD experience higher burden, lower QoL, and higher levels of stress, depression, and anxiety than those without caring responsibilities. Informal care costs increased with AD severity and accounted for the greatest proportion of overall societal cost.

Conclusions:

Care partners of individuals with AD experience emotional and economic burden, which increases with AD severity. These impacts should be quantified comprehensively in future studies and captured in economic evaluations of AD interventions.
Study on the therapeutic effects and prognosis evaluation of non-invasive ventilation in patients with chronic obstructive pulmonary disease with lung cancer
Authors: Wang Xiangyun , Chen Yuanjing , Ai Hongjun , Li Panpan , Zhu Chengjie , Yuan Jiaying
Published: November 2023

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory complication among the elderly, and its severity can escalate to respiratory failure as the disease progresses. OBJECTIVE: To evaluate the application value of non-invasive ventilation in the clinical treatment of patients with COPD and lung cancer. This study assesses its therapeutic effects and its impact on patients’ quality of life (QoL) as measured by the Functional Assessment of Cancer Therapy-Lung (FACT-L) scale. METHODS: A retrospective analysis was conducted on clinical data from 102 patients with COPD and lung cancer. Patients were divided into two groups: the control group (n= 48), who received conventional treatment, and the observation group (n= 54), who received non-invasive positive pressure ventilation (NIPPV) in addition to conventional treatment. Relevant indicators of curative effect, including blood gas indices, incidence of dyspnoea, improvements in mental health and appetite, and FACT-L QoL scores, were analysed at 2 weeks, 1 month, and 6 months post-treatment. RESULTS: At 2 weeks post-treatment, the observation group who had used NIPPV showed significant improvements in blood gas indices, dyspnoea, mental state and self-care ability compared with the control group (p< 0.05). At 1 month, these benefits persisted and included improved maintenance of body weight (p< 0.05). By 6 months, the observation group had a lower incidence of pulmonary encephalopathy (p< 0.05), and QoL, as measured by the FACT-L scale, improved significantly in the observation group but declined in the control group (p< 0.05). CONCLUSION: NIPPV demonstrates significant efficacy in treating COPD patients with lung cancer, particularly in enhancing curative effects and improving patients’ QoL.
Fluoroscopy-based robotics in total hip arthroplasty mitigates laterality-based differences in acetabular cup placement when compared to the manual, fluoroscopic- assisted technique
Authors: Ong Christian B. , Buchan Graham B.J. , Hecht II Christian J. , Homma Yasuhiro , Harmon Daniel J. , Kendoff Daniel O. , Petterwood Joshua , Kamath Atul F.
Published: November 2023

BACKGROUND: Robotic assistance in total hip arthroplasty (RA-THA) has been shown to minimize laterality-based differences in acetabular cup positioning. OBJECTIVE: To determine if the use of a novel, fluoroscopy-based RA-THA system mitigates differences in acetabular cup placement between left (L) and right (R) side hip procedures, when compared to manual, fluoroscopic-assisted technique. METHODS: We conducted a retrospective review of 106 consecutive mTHA (40 L/66 R) and 102 RA-THA (48 L/54 R) primary direct anterior approach procedures. All cases were performed by a single right-hand-dominant surgeon, for a pre-operative diagnosis of osteoarthritis, avascular necrosis, or rheumatoid arthritis. Outcomes included acetabular cup inclination and anteversion, and the proportion of cups within the Lewinnek safe-zone. RESULTS: The average inclination of mTHA L cases was smaller than that of mTHA R cases (41.10∘± 7.38 vs. 43.97∘± 6.27; p= 0.04). For RA-THA, L and R cup angles were similar. There were fewer overall mTHA hips within the Lewinnek safe-zone compared to RA-THA (0.59 vs. 0.78; p= 0.003), as well as fewer mTHA R cases than RA-THA R cases (0.59 vs. 0.80; p= 0.03) within safe zone. CONCLUSION: Use of a novel, fluoroscopy-based robotic system mitigates laterality-based differences in acetabular cup placement that were observed in a manual, fluoroscopic-assisted cohort.
PENGARUH ASET PRODUKTIF, PEMBIAYAAN BERMASALAH DAN LIKUIDITAS TERHADAP PROFITABILITAS DENGAN KECUKUPAN MODAL SEBAGAI VARIABEL MODERASI
Authors: Fadilah Elsa , Suryani Suryani , Raya Fitri
Published: November 2023

Increased productive assets, healthy FDR, and suppressed NPFs do not increase the Bank's profitability. The purpose of this study is to test and analyze the effect of productive assets, NPF, and FDR on profitability with CAR as a moderation variable. The data collection method is carried out by accessing financial statements through the official website. The data is processed with SPSS 25 tools. The analysis used includes classical assumption tests, multiple linear regression tests and MRA tests. Productive assets, NPF and FDR have a partial effect on profitability. Similar results are obtained with the f test which states that productive assets, NPF and FDR have a simultaneous effect on profitability. The moderation test interprets that CAR is unable to moderate the effect of productive assets, NPF and FDR on profitability.
Alcohol Consumption in Ancient India and the Contemporary Challenges: A Study of Socio-Economic Implications and Anti-Liquor Protests in Tamil Nadu
Authors: Kaviarasu John
Published: November 2023

This paper presents a comprehensive analysis of the political developments in India, spanning from ancient times to the present day. The first section of the paper delves into the historical context of alcohol consumption and its profound socio-cultural implications in ancient India. It explores how alcohol was intertwined with the social fabric, varying across different cultural and caste groups. The second part of the paper focuses on the more recent political dynamics in Tamil Nadu, specifically examining the period from 2016 to 2017 when the All India Anna Dravida Munnetra Kazhagam (AIADMK) partially rolled back the prohibition on alcohol in response to widespread protests. Over the last five decades, Tamil Nadu has been predominantly under the rule of two Dravidian parties, the Dravida Munnetra Kazhagam (DMK) and AIADMK. These parties have alternated between enforcing total prohibition and permitting alcohol consumption. The unique political landscape in the state is characterized by the influence of the alcohol industry as a strategic tool for garnering votes. The paper highlights that both parties have vested interests in the alcohol business, making it a complex issue for effective prohibition. For total prohibition to be successfully implemented, a government must establish robust enforcement measures and create essential healthcare and de-addiction infrastructure. The interplay between politics, economics, and social implications in this context is explored in depth in this paper.
Analisis kesiapan penerapan paradigma organisasi pembelajar di dalam Program Studi Manajemen Informasi Kesehatan IIK Bali
Authors: Saptiono Viktorinus Alfred
Published: November 2023

The learning organization paradigm is a paradigm in the organization of an organization where everyone in the organizational component is expected to be able to improve/expand their abilities continuously. This study aims to determine the initial description of the Health Information Management Study Program at the IIK Bali in applying the learning organization paradigm and determine the focus of managerial development of the Health Information Management Study Program at the IIK Bali based on the paradigm of the learning organization. The type and design of this research is a descriptive exploratory study with a survey observational method with the aim of only looking for an initial description of the application of learning organization components in the IIK-Bali health information management study program personnel, without looking for cause and effect relationships or others. The subjects of this study were all educators and educators in the health information management study program in the IIK Bali. The research instrument used was a data collection instrument in the form of a questionnaire which is primary data that is data obtained directly at the first source. The results of this study indicate that dimension 4 (Embedded Systems) gets the lowest score from respondents i.e. 3,1 out of 6 (maximum score), so this dimension shows potential for improvement and enhancement. While the dimension that gets the highest score from respondents is dimension 3 (Team Learning and Collaboration) with a value of 4,4.Â The conclusion is that the Information Management Study Program still needs improvement before starting to run the learning organization paradigm. The dimensions of embedded systems 4 are the focus of improving the management of the study program.
The Relationship Between Nurses’ Work Effectiveness and Work Engagement
Authors:   Department of Nursing Management, School of Nursing & Midwifery, Iran University of Medical Sciences, Tehran, Iran., Salehi Tahmine , Khosravi Iman ,   Department of Nursing Management, School of Nursing & Midwifery, Iran University of Medical Sciences, Tehran, Iran., Haghani Shima ,   Nursing Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
Published: November 2023

Background: Nurses significantly contribute to the healthcare system, constituting the highest number of healthcare staff. A positive attitude or mindset at work increases the ability to carry out the organization’s duties, tasks, and plans. This study investigates the relationship between work effectiveness and work engagement of nurses in the selected hospitals affiliated with Iran University of Medical Sciences (IUMS), Tehran City, Iran, in 2021. Methods: This descriptive cross-sectional study has employed a correlational design. A total of 255 nurses working in selected hospitals affiliated with IUMS were recruited through proportionate stratified sampling. The study data were collected using the utrecht work engagement scale (UWES) and conditions for work effectiveness questionnaire II (CWEQ-II). Statistical analyses involved descriptive statistics, the independent t-test, analysis of variance, the Pearson correlation, and regression in SPSS software, version 22. The significance level was set at P<0.05. Results: The Mean±SD work effectiveness among nurses was found to be 37.31±7.41, indicating their medium-to-high work effectiveness. Also, their Mean±SD work engagement was 68.96±15.48, indicating the high work engagement of nurses. There was also a significant positive relationship (r=0.656, P<0.001) between the total work effectiveness score and work engagement. The results showed that the “support” dimension of work effectiveness exhibited the highest correlation with work engagement (r=0.606, P<0.001). Also, the “absorption by work” dimension of work engagement had the highest correlation with work effectiveness (r=0.653, P<0.001). Conclusion: According to the study results, increasing the work effectiveness of nurses necessitates the creation of a positive attitude and perspective through managerial actions.
A pricing model for agricultural insurance based on big data and machine learning
Authors: Wang Yu , Bin Abdullah Muhammad Asraf
Published: November 2023

Agricultural insurance is a crucial element of policies that promote and protect agriculture. It protects agriculture from risk and distributes agricultural hazards. The rural economy’s stabilization has been a significant stabilizer function. But as agriculture insurance has quickly advanced, a number of issues have unavoidably come to light. Agricultural insurance still offers a wide range of products and services available today. Big data will play a significant supporting role in the pressing need to innovate and improve goods and services. Other information supporting agricultural insurance includes agricultural data connected to it. The two previously most often utilized agricultural index insurances are regional yield insurance and weather index insurance. They struggle with risk pricing mostly due to a lack of appropriate empirical data, complicated dependence linkages between various hazards, and the prevalence of basis risk. A comprehensive study and review of pertinent research findings are carried out by modelling regional yield risk, building weather indicators and their distribution fitting, modelling agricultural dependence risk, and measuring and reducing basis risk. This article highlights the flaws in the current pricing models as well as the problems that need to be addressed in future studies. The need to further develop agricultural index insurance’s risk modelling techniques and increase the objectivity and precision of the pricing outcomes cannot be overstated in terms of their practical importance.
Hooliganism as a problem of public order in the Ukrainian SSR in the early 1950s
Authors: Grechenko V. A.
Published: November 2023

The article examines the topical and insufficiently studied in historical and legal science issue of the factors that caused hooliganism in the early 1950s, the level of this type of crime in the main regions of Ukraine at that time and some steps taken by the Ministry of Internal Affairs of the Ukrainian SSR to reduce hooliganism. Hooliganism occupied one of the main positions in the list of offences committed by young people. The factors of hooliganism had their roots in the years of war and post-war devastation, which were the childhood and adolescence of the majority of those who committed crimes under the relevant article “Hooliganism” of the Criminal Code of the Ukrainian SSR.

The complex events of this time certainly affected the psyche and psychology of these people: they saw violence in all its forms, often being brought up in the absence of their father, who was at the front. The famine of 1946–1947, malnutrition during the war, lack of proper living conditions, and often housing, also affected their psyche. Their educational and cultural levels were also insufficient. The age of these hooliganism perpetrators was 18-25 years old, which also influenced their behaviour and actions. The incompletely formed character and marginality inherent in young people generally played a negative role in their development as positive individuals. Homelessness and neglect of children and adolescents played a detrimental role in the escalation of hooliganism in the 1950s. The war and post-war devastation deformed the normal process of initial socialisation of children and adolescents, which had a detrimental effect on the set of social roles and cultural norms they learned and served as one of the reasons for the rise in hooliganism in peacetime. The amnesty of March 1953 did not improve the political situation in the country and only worsened the crime situation. Hooliganism became widespread among urban working-class youth, especially among the social group that lived in dormitories and worked on construction sites of industrial enterprises, i.e., was mostly unskilled labour.

The memorandum by the Minister of Internal Affairs of the Ukrainian SSR T. Strokach to the first secretary of the CPSU Central Committee O. Kyrychenko dated 30 September 1953 contains numerous facts of hooliganism in Donetsk, Kharkiv, Kryvyi Rih, Dniprodzerzhynsk, Sievierodonetsk and other cities of the republic. These facts show that hooliganism was often senseless and cruel, led to more serious crimes (murder, rape), and was usually committed while under the influence of alcohol. According to the criminal law doctrine of that time, it was believed that there were no socio-economic reasons for hooliganism, and that its manifestations arose as a result of shortcomings in law enforcement and youth education. But this was an erroneous point of view, an attempt to hide from the real problems.
Critical analysis of doctrinal approaches to the definition of “biological terrorism”
Authors: Shamsutdinov О. V.
Published: November 2023

With the purpose of formulating a universal definition of the “biological terrorism” concept, the author clarifies the content and features of the generic concept of “terrorism”. In particular, the author examines the definitions of terrorism and its main features available in the scientific literature, as well as the approaches to the interpretation of its content used in national legislative and international legal acts. It has been argued that terrorism is not only criminal behaviour, but also a certain ideology which justifies the purpose of terrorist activity and the mechanisms for achieving it. On this basis, two doctrinal approaches to understanding terrorism, such as comprehensive and applied, have been identified. The article illustrates the use of the method of defining terrorism in international law by criminalising certain of its socially dangerous manifestations using specific examples. The main criminal features of terrorism have been identified. Terrorism has been defined as socially dangerous criminal acts provided for by international and national law, which consist of demonstrative public violence in a generally dangerous manner or with particular cruelty, as well as threats, organisation, preparation, logistical, financial and other support or incitement to commit such acts aimed at intimidating the population, inducing specific institutions or individuals to commit or refuse to commit certain acts, or with the aim of destabilising or destroying law and order. National researchers’ approaches to the definition of “biological terrorism” have been analysed. It has been concluded that most of them have certain shortcomings, do not take into account doctrinal interpretations of terrorism and its features, and the peculiarities of pathogenic agents as a key component of biological weapons. The content of the legislative terms “technological terrorism” and “international terrorism” has been studied. Based on the results of the critical analysis and on the basis of the formulated definition of terrorism, it has been proposed to consider biological terrorism as a type of technological terrorism, and, if certain features are present, as international terrorism, and to understand it as socially dangerous culpable acts provided for by international and national legislation, which consist in demonstrative public use of biological weapons or their components (biological agents of biological destruction of biota), as well as threatening, organising, preparing, providing logistical, financial and other support or inciting to commit such actions aimed at intimidating the population, with the aim of inducing specific institutions or individuals to commit or refuse to commit certain actions, disrupting law and order or causing a biological disaster.
Case Study: The Impact Of Emerging Technologies On Cybersecurity Education And Workforces
Authors:   Robert Morris University, Cusak Austin
Published: November 2023

A qualitative case study focused on understanding what steps are needed to prepare the cybersecurity workforces of 2026-2028 to work with and against emerging technologies such as Artificial Intelligence and Machine Learning. Conducted through a workshop held in two parts at a cybersecurity education conference, findings came both from a semi-structured interview with a panel of experts as well as small workgroups of professionals answering seven scenario-based questions. Data was thematically analyzed, with major findings emerging about the need to refocus cybersecurity STEM at the middle school level with problem-based learning, the disconnects between workforce operations and cybersecurity operators, the distrust of Non-Traditional Training Programs, and the need to build digital security generalists’ curriculum and training. Recommendations are also made for possible next steps.
THE SYNTHESIS, STUDY OF PHYSICOCHEMICAL PROPERTIES, AND EVALUATION OF CATALYTIC ACTIVITY OF A THREE-WAY CATALYST MODIFIER CONTAINING EUROPIUM (III) OXIDE
Authors:   Voronezh State University of Engineering Technologies, Voronezh, Russia, Niftaliev S.I. , Chiragov F.M. ,   Baku State University, Kuznetsova I.V. ,   Voronezh State University of Engineering Technologies, Voronezh, Russia, Nikiforova A.D. ,   Voronezh State University of Engineering Technologies, Voronezh, Russia, Sugatov D.S. ,   Voronezh State University of Engineering Technologies, Voronezh, Russia, Baksheev E.O. ,   Yeltsin Ural Federal University, Yekaterinburg, Russia, Rychkov V.N. ,   Yeltsin Ural Federal University, Yekaterinburg, Russia, Salnikova A.D. ,   Voronezh State Medical University named after N.N.Burdenko, Voronezh, Russia
Published: November 2023

Modification of the applied Pt-containing catalysts with rare-earth metals is one of effective ways to increase their activity and resistance to thermal deactivation, which is associated with both an increase in thermal stability of the texture and structure of the carrier material and an increase in the degree of dispersion and resistance to sintering of the applied platinum metals (PM) when exposed to high temperatures. Conflicting data make it difficult to select a suitable modifier for the use as part of a three-way catalyst in the exhaust treatment system of gasoline-powered cars, whose function is to simultaneously convert CO, CxHy and NOx. In this work, the effect of europium-modified Pt-containing γ-Al2O3 -based catalyst on its physicochemical properties and activity in the oxidation of CO, CxHy, and NOx reduction processes was evaluated. The catalytic activity was evaluated by passing a gas mixture simulating the exhaust of a gasoline-powered car through the catalyst applied onto the surface of a cylindrical honeycomb block with simultaneous measurement of the degree of conversion of toxic components into relatively non-toxic CO2, N2 and H2O in the temperature range from 1000C to 4000C. The modification of the Pt/γ-Al2O3 catalytic system with europium was shown to enhance the activity in all three reactions studied, indicating a great potential for the use as a modifier of a three-way catalyst
AMINOMETHOXY DERIVATIVES OF 1-BENZYLTHIOOCTANE AS A BIOCORROSION INHIBITOR
Authors:   Azerbaijan State Pedagogical University, Jafarov I.A. , Mammadbayli E.H. ,   Y.Mammadaliyev Institute of Petrochemical Processes, Ministry of  Science and Education of Azerbaijan, Zalov A.Z. ,   Azerbaijan State Pedagogical University, Iskenderova K.O. ,   Azerbaijan State Pedagogical University, Habibova A.G. ,   Azerbaijan State Oil and Industry University
Published: November 2023

Based on benzylthioctane-2-ol, heterocyclic amines (piperidine, morpholine, hexamethyleneimine), and formaldehyde, new Mannich bases were synthesized. The reaction was carried out at a temperature of 45–500C for 3–4 h. in an equimolar ratio of starting compounds. The yield of target products was 70–74%. The physicochemical data of the synthesized compounds were determined. The composition and structure of the target products were confirmed by elemental analysis, IR and 1H NMR spectroscopy. Their influence on the vital activity of sulfate-reducing bacteria of the Desulfovibrio desulfiricans type at three con¬centrations (25, 50, 100 mg/l) was studied. The obtained compounds showed high bactericidal pro¬perties, since 1% solutions of these compounds in isopropyl alcohol at a concentration of 100 mg/l showed a 100% bactericidal effect. Given that the aminomethoxy derivatives of 1-benzylthiooctane affect bacteria at very low concentrations, they can be proposed as effective inhibitors of sulfate reducing bacteria (SRB).
SYNTHESIS OF S,P,N-CONTAINING ORGANIC COMPOUNDS AND THEIR THERMOSTABILITY WITH RESPECT TO METALS
Authors:   M.Nagiev Institute of Catalysis and Inorganic Chemistry, Ministry of Science and Education  of the Republic of Azerbaijan, Mamedov E.Sh. , Kulibekova T.N. ,   M.Nagiev Institute of Catalysis and Inorganic Chemistry, Ministry of Science and Education  of the Republic of Azerbaijan, Veliyeva D.S. ,   M.Nagiev Institute of Catalysis and Inorganic Chemistry, Ministry of Science and Education  of the Republic of Azerbaijan, Safaraliyeva Z.S. ,   M.Nagiev Institute of Catalysis and Inorganic Chemistry, Ministry of Science and Education  of the Republic of Azerbaijan, Rushinaz I.R. ,   M.Nagiev Institute of Catalysis and Inorganic Chemistry, Ministry of Science and Education  of the Republic of Azerbaijan
Published: November 2023

The results of thermal studies of some derivatives of dithiophosphoric, xanthogenic, dithiocarbamic acids are presented. The thermal parameters of the compounds were determined both in pure form and in the presence of iron and copper powders. Their chemical activity with respect to iron and copper was studied. It has been found that the temperature at which the thermal stability of the studied compounds is maintained exceeds 1700С, and they are chemically active with respect to iron and copper: the lower the interaction temperature within the same row with iron and copper and the lower its mass loss corresponding to this temperature, the more effective it is like an extreme pressure (EP) additive. It has been found that compounds of the same series, reacting with metal by the type of synchronous and exchange reactions, have better indicators of extreme pressure properties than compounds interacting with metal by the type of asynchronous reaction
KELOMPOK KEPENTINGAN (INTEREST GROUP) DALAM DINAMIKA POLITIK PENDIDIKAN ISLAM DI INDONESIA
Authors: Amin Khoirul , Sari Ana Kurnia , Sirozi Muhamaad
Published: November 2023

Politik adalah usaha untuk menentukan peraturan-peraturan yang dapat diterima baik oleh sebagian besar warga, untuk membawa masyarakat ke arah kehidupan bersama yang harmonis. Usaha untuk mencapai kehidupan yang baik ini menyangkut bermacam-macam kegiatan yang di antaranya menyangkut proses penentuan tujuan dari sistem, serta cara-cara melaksanakan tujuan itu. Dari sini diperlukan kekuasaan dan kewenangan. Adapun politik pendidikan dapat dipahami sebagai bidang kajian mengenai hubungan antara proses munculnya berbagai tujuan pendidikan dan cara-cara pencapaiannya. Kajian politik pendidikan terfokus pada peranan negara dalam bidang pendidikan, sehingga dapat menjelaskan pola, kebijakan, dan proses pendidikan serta berbagai asumsi, maksud, dan outcome dari berbagai strategi perubahan kebijakan dan suatu masyarakat secara lebih baik. Sejak Indonesia menyatakan kemerdekaannya, telah lahir berbagai kebijakan yang berkaitan dengan pendidikan. Hal ini menunjukkan bahwa negara memperhatikan masalah pendidikan. Namun produk peraturan mengenai pendidikan menjadi kontra produktif manakal kebijakan-kebijakan tersebut justru hanya mementingkan kelompok kepentingannya saja dan mengaburkan arah dari tujuan pendidikan itu sendiri.
Review of SDN-based load-balancing methods, issues, challenges, and roadmap
Authors: Chandra Saxena Mohit , Sabharwal Munish , Bajaj Preeti
Published: November 2023

The development of the Internet and smart end systems, such as smartphones and portable laptops, along with the emergence of cloud computing, social networks, and the Internet of Things, has brought about new network requirements. To meet these requirements, a new architecture called software-defined network (SDN) has been introduced. However, traffic distribution in SDN has raised challenges, especially in terms of uneven load distribution impacting network performance. To address this issue, several SDN load balancing (LB) techniques have been developed to improve efficiency. This article provides an overview of SDN and its effect on load balancing, highlighting key elements and discussing various load-balancing schemes based on existing solutions and research challenges. Additionally, the article outlines performance metrics used to evaluate these algorithms and suggests possible future research directions.
American Cancer Society’s report on the status of cancer disparities in the United States, 2023
Authors: Islami Farhad , Baeker Bispo Jordan , Lee Hyunjung , Wiese Daniel , Yabroff K. Robin , Bandi Priti , Sloan Kirsten , Patel Alpa V. , Daniels Elvan C. , Kamal Arif H. , Guerra Carmen E. , Dahut William L. , Jemal Ahmedin
Published: November 2023

In 2021, the American Cancer Society published its first biennial report on the status of cancer disparities in the United States. In this second report, the authors provide updated data on racial, ethnic, socioeconomic (educational attainment as a marker), and geographic (metropolitan status) disparities in cancer occurrence and outcomes and contributing factors to these disparities in the country. The authors also review programs that have reduced cancer disparities and provide policy recommendations to further mitigate these inequalities. There are substantial variations in risk factors, stage at diagnosis, receipt of care, survival, and mortality for many cancers by race/ethnicity, educational attainment, and metropolitan status. During 2016 through 2020, Black and American Indian/Alaska Native people continued to bear a disproportionately higher burden of cancer deaths, both overall and from major cancers. By educational attainment, overall cancer mortality rates were about 1.6–2.8 times higher in individuals with ≤12 years of education than in those with ≥16 years of education among Black and White men and women. These disparities by educational attainment within each race were considerably larger than the Black–White disparities in overall cancer mortality within each educational attainment, ranging from 1.03 to 1.5 times higher among Black people, suggesting a major role for socioeconomic status disparities in racial disparities in cancer mortality given the disproportionally larger representation of Black people in lower socioeconomic status groups. Of note, the largest Black–White disparities in overall cancer mortality were among those who had ≥16 years of education. By area of residence, mortality from all cancer and from leading causes of cancer death were substantially higher in nonmetropolitan areas than in large metropolitan areas. For colorectal cancer, for example, mortality rates in nonmetropolitan areas versus large metropolitan areas were 23% higher among males and 21% higher among females. By age group, the racial and geographic disparities in cancer mortality were greater among individuals younger than 65 years than among those aged 65 years and older. Many of the observed racial, socioeconomic, and geographic disparities in cancer mortality align with disparities in exposure to risk factors and access to cancer prevention, early detection, and treatment, which are largely rooted in fundamental inequities in social determinants of health. Equitable policies at all levels of government, broad interdisciplinary engagement to address these inequities, and equitable implementation of evidence‐based interventions, such as increasing health insurance coverage, are needed to reduce cancer disparities.
Peran Machine Learning Dalam Pembelajaran Di LKP Bintang Mulia Batu Bara
Authors: Rahmadani Nurul , Kurniawan Edi , Risnawati Risnawati
Published: November 2023

LKP Bintang Mulia Batu Bara is located in a coastal area which resulted in the guidance participants not being updated on technological advances in the education sector. Even though the times have been very advanced with one of the newest innovations, namely Machine Learning. Machine Learning in the field of education can provide a variety of learning options, so that students can find what is best for them, taking into account the differences of each individual student. Machine Learning can also be used to monitor learning processes that confuse students, so that Machine Learning in education runs in harmony with what students need. The purpose of doing this service is to broaden students' understanding of the role of Machine Learning in learning. This service was held on April 15, 2023, and the participants in this activity were 8 LKP guidance students. So the result of this dedication is that there are many roles that Machine Learning can play in learning, such as playing a role in learning content, the teaching process, giving assignments, the assessment process, and monitoring student learning progress. Keywords: education; learning; Machine LearningAbstrak:  LKP Bintang Mulia Batu Bara terletak di daerah pesisir pantai yang mengakibatkan para peserta bimbingan tidak update mengenai kemajuan teknologi di bidang pendidikan. Padahal perkembangan zaman sudah sangat maju dengan salah satu inovasi terbaru, yaitu Machine Learning. Machine Learning di bidang pendidikan dapat memberikan berbagai pilihan pembelajaran, sehingga siswa dapat menemukan apa yang terbaik bagi mereka, dengan mempertimbangkan perbedaan tiap individu siswa. Machine Learning juga dapat digunakan untuk memonitoring proses pembelajaran yang membingungkan siswa, sehingga Machine Learning dalam pendidikan berjalan selaras dengan yang dibutuhkan siswa. Tujuan dilakukannya pengabdian ini ialah untuk memperluas pemahaman siswa mengenai peran Machine Learning dalam pembelajaran. Pengabdian ini dilaksanakan pada tanggal 15 April 2023, dan yang menjadi peserta dalam kegiatan ini ialah para siswa-siswi bimbingan LKP yang berjumlah 8 orang. Maka hasil dari pengabdian ini ialah banyak peran yang dapat dilakukan Machine Learning dalam pembelajaran, seperti berperan dalam konten pembelajaran, proses pengajaran, pemberian tugas, proses penilaian, serta memantau kemajuan belajar para siswa.Kata kunci: Machine Learning; pembelajaran; pendidikan
Prevalence of anxiety, depression, and stress among parents of neonates admitted to neonatal intensive care unit: a systematic review and meta-analysis
Authors: Shetty Asha P. , Halemani Kurvatteppa , Issac Alwin , Thimmappa Latha , Dhiraaj Sanjay , K Radha , Mishra Prabhaker , Upadhyaya Vijai Datta
Published: November 2023

Background: Neonatal intensive care unit (NICU) admission causes significant distress that can hinder the successful transition into parenthood, child-parent relations, and child development.Purpose: This systematic review and meta-analysis aimed to understand parental psychological phenomena. Here we assessed the emotional response of parents of newborns during NICU admission.Methods: Two authors independently searched the PubMed, Cumulative Index to Nursing and Allied Health Literature, Embase, Clinical Key, and Google Scholar databases for studies published between January 01, 2004, and December 31, 2021. The review followed Cochrane collaboration guidelines and the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) statement. The quality of the included studies was assessed using the modified Newcastle-Ottawa Scale. Stata software (version 16) was used to compute the results.Results: This review comprised 6,822 parents (5,083 mothers, 1,788 fathers; age range, 18–37 years) of NICU patients. The gestational ages and neonatal weights were 25.5–42 weeks and 750–2,920 g, respectively. The pooled prevalence of anxiety was higher among mothers (eﬀect size [ES], 0.51; 95% confidence interval [CI], 0.41–0.61; and heterogeneity [I2]=97.1%; P<0.001) than among fathers (ES, 0.26; 95% CI, 0.11–0.42; I2=96.6%; P<0.001). Further, the pooled prevalence of depression was higher among mothers (ES, 0.31; 95% CI, 0.24–0.38; I2=91.5%; P<0.001) than among fathers (ES, 0.12; 95% CI, 0.03–0.22; I2=85.6%; P<0.001). Similarly, the pooled prevalence of stress was higher among mothers (ES, 0.41; 95% CI, 0.31–0.51; I2= 93.9%; P<0.001) than among fathers (ES, 0.22; 95% CI, 0.09–0.34; I2=85.2%; P<0.001).Conclusion: NICU admission is more stressful for mothers than fathers and can aﬀect mental health and quality of life. Mothers reported a higher pooled prevalence of stress, anxiety, and depression than fathers, possibly attributable to their feelings about birthing a sick child.