bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulação computacional de um restaurante self-service universitário
Authors: Fernandes Carvalho Amanda , Menolli Longhini Tatielle
Published: August 2024

Um sistema de filas é composto por entidades que necessitam de atendimento em determinados postos de serviços e que devem esperar até que estes estejam disponíveis. Visando aprofundar neste conceito, a teoria das filas se constitui na modelagem analítica de processos resultantes da espera e buscam determinar, de modo quantitativo, sua produtividade. A fim de auxiliar nos estudos, a simulação computacional surge com o objetivo de trazer a realidade para um ambiente controlado, possibilitando uma análise mais específica de seu funcionamento em diversas situações. Sobre isso, o trabalho em questão evidenciou uma abordagem referente a formação de filas em um refeitório universitário, utilizando simulação computacional a eventos discretos, por meio do software ARENA® Simulation, com o objetivo de propor um novo cenário de funcionamento para o ambiente. A princípio, realizou-se um estudo bibliográfico referente ao assunto, na qual foi apresentado a importância de seguir passos pré-definidos na modelagem de sistemas de simulação. Os resultados apresentados no corpo deste trabalho constataram maior formação de filas em um determinado setor do refeitório, diminuindo o número de clientes que saiam do sistema. Com a proposição de um novo cenário de funcionamento e o acréscimo de 1 atendente no Setor de Self-Service, o número de pessoas atendidas cresceu 12,5% e a capacidade de atendimento relacionada as guarnições teve um aumento de 9,8%. Contudo, este trabalho verificou a eficiência da simulação computacional aliada ao software ARENA® para análise de processos geradores de filas.
Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS
Authors: Kulkarni Paresh , Chinchanikar Satish
Published: August 2024

Soft computing techniques, with their self-learning capabilities, fuzzy principles, and evolutionary computational philosophy, are being increasingly utilized in modeling complex machining processes. This study develops artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) models to predict cutting force, surface roughness, and tool life during Inconel 718 turning with a hybrid nanofluid under minimum quantity lubrication. The hybrid nanofluid was created by combining 50–50% multi-walled carbon nanotubes and aluminum oxide nanoparticles with vegetable-based palm oil. ANFIS and ANN models were constructed with data from well-designed machining trials. The ANFIS model predicted machining performance using fuzzy logic, whereas the ANN model employed a feedforward neural network design. The results showed that both models were able to accurately predict the machining performance. However, ANFIS outperforms ANN in terms of accuracy, with prediction errors of 4.47% and 10.97% for surface roughness, and 6.05% and 9.86% for tool life, respectively. However, the accuracy of cutting force prediction was slightly higher with the ANN. This shows that ANFIS could be a better option for forecasting the machining performance while turning Inconel 718. However, this study suggests further investigation into ANFIS modeling, with a focus on membership function parameter optimization through hybrid optimization techniques.
Scapula position test reliability and comparisons of scapula position and shoulder function among individuals with and without adolescent idiopathic scoliosis
Authors: Kim Tae-Gyu , Kim Young-Hoon , Ma Rui , Kim Soo-Yong
Published: August 2024

BACKGROUND: An evaluation of scapula position is important to predict spine curvature and shoulder function in patients with adolescent idiopathic scoliosis (AIS). Therefore, a reliable scapula position is required to assess posture in patients with AIS. OBJECTIVE: This study investigated the reliabilities of scapula position tests and differences in scapula position and shoulder function between individuals with and without AIS. METHODS: The study compared 18 patients with AIS and 18 healthy controls to identify differences in scapula position and shoulder function. The acromion-table distance, lateral displacement of the scapula, acromion depression, winged scapula, upward rotation of the scapula, and anterior tilt of the scapula were measured. Scapula position test reliabilities were assessed using the intraclass correlation coefficient (ICC), standard error of measurement (SEM), and minimum clinically important difference (MCID). Shoulder function was measured using the Shoulder Pain and Disability Index. RESULTS: The reliabilities of scapula position tests (ICC 0.85–0.93, SEM 0.1–1.2, and MCID 0.2–2.5) were good. There were significant differences in scapula position and shoulder function between patients with AIS and healthy controls (p< 0.05). CONCLUSION: Scapula position tests were highly reliable in patients with AIS; they can be used to evaluate scapula position during clinical assessment of posture in patients with AIS.
Stable top-k periodic high-utility patterns mining over multi-sequence
Authors: Ren Ziqian , Xun Yaling , Cai Jianghui , Yang Haifeng
Published: August 2024

Periodic high-utility sequential patterns (PHUSPs) mining is one of the research hotspots in data mining, which aims to discover patterns that not only have high utility but also regularly appear in sequence datasets. Traditional PHUSP mining mainly focuses on mining patterns from a single sequence, which often results in some interesting patterns being discarded due to strict constraints, and most of the discovered patterns are unstable and difficult to use for decision-making. In response to this issue, a novel algorithm called TKSPUS (top-k stable periodic high-utility sequential pattern mining) is proposed to discover stable top-k periodic high-utility sequential patterns that co-occur in multi-sequences. TKSPUS extends the traditional periodic high-utility sequential patterns mining, and designs two new metrics, namely utility stability coefficient (usc) and periodic stability coefficient (sr), to determine the periodic stability and utility stability of patterns in multi-sequences respectively. Additionally, the TKSPUS algorithm adopts the projection mechanism to mine stable periodic high-utility patterns over multi-sequence, while a new data structure called pusc and two corresponding pruning strategies are also introduced to boost the mining process. Experiments show that compared with the other four related algorithms, the TKSPUS algorithm has better performance in memory consumption and execution time, and the stability of the mining results is improved by 47% on average compared with the traditional periodic high-utility patterns mining algorithm.
TLSTSRec: Time-aware long short-term attention neural network for sequential recommendation
Authors: Chen Hongwei , Liu Luanxuan , Chen Zexi
Published: August 2024

In recent years, sequential recommendation has received widespread attention for its role in enhancing user experience and driving personalized content recommendations. However, it also encounters challenges, including the limitations of modeling information and the variability of user preferences. A novel time-aware Long-Short Term Transformer (TLSTSRec) for sequential recommendation is introduced in this paper to address these challenges. TLSTSRec has two major innovative features. (1) Accurate modeling of users is achieved by fully leveraging temporal information. Time information is modeled by creating a trainable timestamp matrix from both the perspectives of time duration and time spectrum. (2) A novel time-aware Transformer model is proposed. To address the inherent variability of user preferences over time, the model combines long-term and short-term temporal information and adjusts the personalized trade-offs between long-term and short-term sequences using adaptive fusion layers. Subsequently, newly designed encoders and decoders are employed to model timestamps and interaction items. Finally, extensive experiments substantiate the effectiveness of TLSTSRec relative to various state-of-the-art sequential recommendation models based on MC/RNN/GNN/SA across a spectrum of widely used metrics. Furthermore, experiments are conducted to validate the rationality of the TLSTSRec structure.
Explore the Role of Frailty as a Contributor to the Association Between AT(N) Profiles and Cognition in Alzheimer’s Disease
Authors: Han Bao-Lin , Ma Ling-Zhi , Han Shuang-Ling ,   for the Alzheimer’s Disease Neuroimaging Initiative, Mi Yin-Chu , Liu Jia-Yao , Sheng Ze-Hu , Wang Hui-Fu , Tan Lan
Published: August 2024

Background:

The relationship between Alzheimer’s disease (AD)-related pathology and cognition was not exactly consistent.

Objective:

To explore whether the association between AD pathology and cognition can be moderated by frailty.

Methods:

We included 1711 participants from the Alzheimer’s Disease Neuroimaging Initiative database. Levels of cerebrospinal fluid amyloid-β, p-tau, and t-tau were identified for AD-related pathology based on the amyloid-β/tau/neurodegeneration (AT[N]) framework. Frailty was measured using a modified Frailty Index-11 (mFI-11). Regression and interaction models were utilized to assess the relationship among frailty, AT(N) profiles, and cognition. Moderation models analyzed the correlation between AT(N) profiles and cognition across three frailty levels. All analyses were corrected for age, sex, education, and APOE ɛ4 status.

Results:

In this study, frailty (odds ratio [OR] = 1.71, p < 0.001) and AT(N) profiles (OR = 2.00, p < 0.001) were independently associated with cognitive status. The model fit was improved when frailty was added to the model examining the relationship between AT(N) profiles and cognition ( p < 0.001). There was a significant interaction between frailty and AT(N) profiles in relation to cognitive status (OR = 1.12, pinteraction = 0.028). Comparable results were obtained when Mini-Mental State Examination scores were utilized as the measure of cognitive performance. The association between AT(N) profiles and cognition was stronger with the levels of frailty.

Conclusions:

Frailty may diminish patients’ resilience to AD pathology and accelerate cognitive decline resulting from abnormal AD-related pathology. In summary, frailty contributes to elucidating the relationship between AD-related pathology and cognitive impairment.
Exposure to the World Trade Center Particulate Matter Alters the Gut-Brain Axis in Early Onset Alzheimer’s Disease Mice
Authors: Iban-Arias Ruth , Wang Shu-Han , Soares Dias Portela Ariana , Yang Eun-Jeong , Griggs Elizabeth , Masieri Sibilla , Hu Wen , Chen Lung-Chi , Pasinetti Giulio Maria
Published: August 2024

Background: The September 11, 2001, catastrophe unleashed widespread destruction beyond the World Center (WTC), with fires and toxic gases leaving lasting impacts. First responders at Ground Zero faced prolonged exposure to hazardous particulate matter (PM), resulting in chronic health challenges. Among the multitude of health concerns, the potential association between the WTCPM and Alzheimer’s disease (AD) has emerged as an area of intense inquiry, probing the intricate interplay between environmental factors and neurodegenerative diseases. Objective: We posit that a genetic predisposition to AD in mice results in dysregulation of the gut-brain axis following chronic exposure to WTCPM. This, in turn, may heighten the risk of AD-like symptoms in these individuals. Methods: 3xTg-AD and WT mice were intranasally administered with WTCPM collected at Ground Zero within 72 hours after the attacks. Working memory and learning and recognition memory were monitored for 4 months. Moreover, brain transcriptomic analysis and gut barrier permeability along with microbiome composition were examined. Results: Our findings underscore the deleterious effects of WTCPM on cognitive function, as well as notable alterations in brain genes associated with synaptic plasticity, pro-survival, and inflammatory signaling pathways. Complementary, chronic exposure to the WTCPM led to increased gut permeability in AD mice and altered bacteria composition and expression of functional pathways in the gut. Conclusions: Our results hint at a complex interplay between gut and brain axis, suggesting potential mechanisms through which WTCPM exposure may exacerbate cognitive decline. Identifying these pathways offers opportunities for tailored interventions to alleviate neurological effects among first responders.
Monte Carlo tree search applied to design of wireless power transfer system
Authors: Yin Shuli , Sato Kazuki , Ito Yuki , Ota Hiroaki , Otomo Yoshitsugu , Igarashi Hajime
Published: August 2024

An automatic design optimization of a wireless power transfer system is performed using Monte Carlo tree search (MCTS). Several key factors, i.e., the compensation network, shapes and geometrical parameters of the coils are determined after searches, in order to achieve the high transfer efficiencies for coaxial aligned and misaligned cases. The improved Selection policy in MCTS, called first play urgency (FPU), is implemented for optimization. It proves to be a more promising technique for finding optimal solutions when the searching volume is limited, compared with the original MCTS with using the upper confidence bound applies to tree (UCB1).
Assessing healthcare professionals’ perceptions of pain concepts and beliefs
Authors: Oh Sejun , Gu Yeonji , Kim Inbeom , Kwon Euha , Lee Sangheon , Kim Kyounghae
Published: August 2024

BACKGROUND: Healthcare professionals deliver pain education, yet their perception of pain experiences is not well understood, which can affect their interactions with patients in pain. OBJECTIVE: This study explored Korean healthcare professionals’ perceptions of the usefulness of assessing pain concepts and beliefs and the importance of domains identified in the pain literature. METHODS: This descriptive cross-sectional study employed an online survey administered to nurses, physical therapists, and physicians, including the Neurophysiology of Pain Questionnaire, Tampa Scale for Kinesiophobia, and related optional open-ended questions. RESULTS: Most participants acknowledged the importance and usefulness of assessing understanding of pain concepts but anticipated patients’ difficulty comprehending items assessing biological mechanisms underlying pain. Participants questioned the items’ accuracy, indicating their limited pain knowledge and the necessity of reducing literacy demands. The critical domains of pain education were learning about pain, external factors influencing pain, and pain as a form of protection. CONCLUSION: Participants had suboptimal pain knowledge but emphasized decreasing literacy demands of pain neurophysiology items. Additionally, it is necessary to develop and implement a pain education program to improve pain-related knowledge and provide educational content for healthcare professionals encountering patients in pain.
Changes in peripheral blood IL-9, Th9, and BAFF levels in patients with allergic rhinitis and their clinical implications
Authors: Liu Fengjie , Wang Buquan , Mao Chenggang
Published: August 2024

BACKGROUND: Allergic Rhinitis (AR), a prevalent condition in otorhinolaryngology, is mediated by Type 1 hypersensitivity through IgE, characterized by Type 2 inflammatory response and eosinophil infiltration in the nasal mucosa. Since AR disease exhibits significant heterogeneity in symptom severity, an objective assessment of AR severity may facilitate better individualized treatment. OBJECTIVE: To explore the changes in peripheral blood IL-9, Th9, and BAFF levels of allergic rhinitis (AR) in patients and the clinical significance associated with it. METHODS: A retrospective study selected 80 AR patients admitted from January 2022 to October 2022 as the case group, dividing them into mild and moderate-to-severe groups based on symptom scores. Concurrently, 50 patients without AR, who were treated for nasal bone fractures or underwent septoplasty, were selected as the group for comparison. Alterations in the expression levels of peripheral blood IL-9, Th9, and BAFF were analyzed and compared among the different groups. The diagnostic value of serum BAFF for the severity of AR was analyzed using the receiver operating characteristic (ROC) curve. RESULTS: Noticeable variations were observed in clinical variables among the three groups such as, total IgE levels, peripheral blood eosinophil count and proportion, TNSS, and VAS (P< 0.05), while no statistically significant differences were observed in other variables (P> 0.05). The comparison of IL-9, Th9, and BAFF among the three groups revealed statistically significant differences (P< 0.05). Analysis using multivariate logistic regression revealed that IL-9 (OR = 2.365), Th9 (OR = 2.186), BAFF (OR = 2.307) were influencing factors of moderate-to-severe AR (P< 0.05). The ROC curve indicated that the AUC for the diagnosis of moderate-to-severe AR by IL-9, Th9, BAFF were 0.770, 0.734, 0.761, respectively, and the combined detection AUC was 0.888, an area under the curve higher than individual testing. CONCLUSION: Changes in peripheral blood IL-9, Th9, and BAFF levels in AR patients may function as indicators to assess the level of severity in diagnostic procedures.
Relationship between stone volume, average CT value and operation time and efficiency before ureteral soft lens laser lithotripsy
Authors: Wang Ping , Ma Shumei , Wang Xuelian
Published: August 2024

BACKGROUND: Soft ureteroscopic holmium laser lithotripsy is becoming increasingly popular as the preferred method for treating mid-to-lower ureteral stones. Studies have indicated that the size, composition, hardness, and fragility of the stones can impact the treatment’s effectiveness. OBJECTIVE: To explore the relationship between stone volume, average CT value and operation time and efficiency before ureteral soft lens laser lithotripsy. METHODS: Our study on 126 patients undergoing ureteroscopic holmium laser lithotripsy for ureteral calculi from May 2020 to January 2022 categorized them into groups based on stone volume and CT value. We compared surgical outcomes and analyzed correlations between stone characteristics, operation parameters, and stone clearance rate to identify independent risk factors influencing treatment efficacy. RESULTS: Group A demonstrated significantly shorter operation durations and lower blood loss compared to Group B, along with higher single stone clearance rates and fewer postoperative complications. Similarly, Group C exhibited shorter operation times, reduced blood loss, higher stone clearance rates, and lower complication rates than Group D. Preoperative stone volume and CT value correlated positively with operation time and stone clearance rate, with both factors identified as independent risk factors affecting ureteral stone clearance following holmium laser lithotripsy. CONCLUSION: The stone volume and average CT value before ureteral soft lens laser lithotripsy show a positive correlation with operation time and efficiency, indicating that larger stone volumes and higher CT values lead to slower lithotripsy speeds and reduced operation efficiency. Furthermore, preoperative stone volume and average CT value are identified as independent risk factors for residual stones.
A biomechanical study of a polymer material bundled rib fracture fixator
Authors: Zhang Yongmin , Wang Dongbin , Gong Hao , Tang Haosen , Dong Guangqi , Wang Bin , Xia Honggang
Published: August 2024

BACKGROUND: Rib fractures are one of the most common blunt injuries, accounting for approximately 10% of all trauma patients and 60% of thoracic injuries. Multiple rib fractures, especially flail chest, can cause local chest wall softening due to the loss of rib support, leading to paradoxical breathing, severe pain, and a high likelihood of accompanying lung contusions. OBJECTIVE: This study investigates the mechanical properties of a new polymer material rib internal fixator to provide theoretical data for its clinical use. METHODS: We conducted in vitro mechanical tests on 20 fresh caudal fin sheep ribs, using different fracture models across four randomly assigned groups (five ribs per group). The fixators were assessed using non-destructive three-point bending, torsion, and unilateral compression tests, with results averaged. Additionally, finite element analysis compared stress and strain in the polymer fixators and titanium alloy rib plates during bending and torsion tests. RESULTS: In vitro tests showed that the polymer fixators handled loads effectively up to a maximum without increase beyond a certain displacement. Bending and torsion tests via finite element analysis showed the polymer material sustained lower maximum equivalent stresses (84.455 MPa and 14.426 MPa) compared to titanium alloy plates (219.88 MPa and 46.47 MPa). CONCLUSION: The polymer rib fixator demonstrated sufficient strength for rib fracture fixation and was superior in stress management compared to titanium alloy plates in both bending and torsion tests, supporting its potential clinical application.
Modeling passenger comfort in turboprop aircraft using objective measures
Authors: Song Yu (Wolf) , Reichherzer Anna S. , Yao Xinhe , Vledder Gerbera , Herbig Britta , Bellmann Michael , Norrefeldt Victor , Vink Peter , Mansfield Neil
Published: August 2024

BACKGROUND: A quantitative comfort model will aid in evaluating comfort levels of various target groups before the actual flight of an airplane. However, constructing the model is always a challenge due to the complexity of the phenomenon. OBJECTIVES: In this paper, we present quantitative comfort models to predict the (dis)comfort of passengers flying with turboprops based on objective measures. METHODS: Ninety-seven participants took part in two experiments conducted during real flights, during which forty of them had environmental and personal factors recorded using (self-developed) measurement tools. The collected data were analyzed to model the relations between objective measures and subjective feelings. RESULTS: Two preliminary models based on gradient boosting regression were developed. The models were able to predict the changes in comfort and discomfort of individual passengers with an accuracy of 0.12±0.01 and 0.21±0.01 regarding normalized comfort and discomfort scores, respectively. Additionally, contributions of different factors were highlighted. CONCLUSION: The outcomes of the models show that we took a step forward in modeling the human comfort experience using objective measurements. Anthropometry (including age), seat positions, time duration, and row (noise) emerged as leading factors influencing the feeling of (dis)comfort in turboprop planes.
Leveraging and learning from the long COVID experience: Translating telerehabilitation into practice
Authors: Gustavson Allison M. , Rauzi Michelle R. , Rasmussen Alana , Raja Bhavana , Kim June , Davenport Todd E.
Published: August 2024

BACKGROUND: Telerehabilitation, or the delivery of rehabilitation services through telehealth platforms, has existed since the late 1990 s. Telerehabilitation was characterized by unprecedented, exponential growth at the beginning of the novel coronavirus-2019 (COVID-19) pandemic. Medical systems sought to reduce the likelihood of disease transmission by using telerehabilitation to limit physical proximity during routine care. This dramatic change in how medical care was delivered forced many professions to adapt processes and practices. Following the change, debates sparked regarding the best path to move forward for the betterment of patients, clinicians, systems, and society. Long COVID has emerged as a complex chronic health condition arising from COVID-19. The unique needs and dynamic disease process of Long COVID has incentivized medical systems to create equitable ways for patients to safely access interdisciplinary care. OBJECTIVES: The purpose of this commentary is to describe what medical systems must consider when deploying high-quality telerehabilitation to deliver rehabilitation through asynchronous (e.g., text, portal) and synchronous modalities (e.g., phone or video). We highlight lessons learned to help guide decision-makers on key actions to support their patients and clinicians. METHODS: Not applicable. RESULTS: Not applicable. CONCLUSIONS: Key action steps from our lessons learned may be used to address complex chronic health conditions such as Long COVID and prepare for future challenges that may disrupt medical systems.
Correlation analysis of occupational stress and metabolic syndrome among employees of a power grid enterprise in China
Authors: Liu Bin , Zhang Lingyu , Cai Yashi , Zhang Min , Huang Weixu , Yan Xuehua , Chen Huifeng
Published: August 2024

BACKGROUND: Being in a state of high occupational stress may disrupt the metabolic balance of the body, thus increasing the risk of metabolic diseases. However, the evidence about the relationship between occupational stress and metabolic syndrome was limited. OBJECTIVES: To explore the association between occupational stress and metabolic syndrome (MetS) in employees of a power grid enterprise. METHODS: A total of 1091 employees were recruited from a power grid enterprise in China. Excluding those who failed to complete the questionnaire and those who had incomplete health check-ups, 945 subjects were included in the study. Assessment of occupational stress was used by job demand-control (JDC) and effort-reward imbalance (ERI) questionnaires, respectively. The information on body mass index (BMI), systolic blood pressure (SBP), and diastolic blood pressure (DBP) were collected. The levels of high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), and fasting blood glucose (FBG) in the fasting venous blood samples were measured. Logistic regression analysis and multiple linear regression methods were used to analyze the correlation between JDC and ERI models of occupational stress, metabolic syndrome, and its components, respectively. RESULTS: The prevalence of MetS was 8.4% and 9.9% in JDC and ERI model high occupational stress employees, respectively. ERI model occupational stress and smoking are significantly associated with the risk of MetS. ERI ratio was significantly associated with lower HDL-C levels. Gender, age, marital status, smoking, high-temperature and high-altitude work were significantly associated with metabolic component levels. CONCLUSION: Our study revealed a high detection rate of occupational stress in both JDC and ERI models among employees of a power grid enterprise. ERI model occupational stress, demanding more attention, was associated with the risk of MetS as well as its components such as HDL-C.
Development Maturity of Educational Institutions in Industry 5.0: An Evaluation
Framework
Authors: Bushuyev Sergiy , Bushuyeva Natalia , Kozlov Volodymyr , Chernova Olena , Liashchenko Tamara
Published: August 2024

The advent of Industry 5.0, characterized by the convergence of cutting-edge
technologies like artificial intelligence, Internet of Things, and robotics,
necessitates a re-evaluation of the role of educational institutions in preparing future
professionals. This paper presents an evaluation framework aimed at assessing the
development maturity of educational establishments within the landscape of Industry 5.0.
The framework encompasses key dimensions including curriculum adaptation, technological
infrastructure, faculty readiness, research and innovation initiatives, industry
collaboration, and student outcomes. Through a structured evaluation of these
dimensions, educational institutions can gauge their level of preparedness in fostering
the skills and competencies demanded by Industry 5.0. This framework not only serves as
a diagnostic tool but also facilitates the identification of areas for improvement and
strategic intervention. By enhancing their development maturity, educational
institutions can effectively contribute to the advancement of Industry 5.0 and ensure
the future readiness of the workforce. As Industry 5.0 emerges with the integration of
advanced technologies such as artificial intelligence, Internet of Things, and robotics
into manufacturing processes, the role of educational institutions in preparing the
workforce becomes paramount. This paper proposes a comprehensive framework for assessing
the development maturity of educational establishments within the context of Industry
5.0. The framework encompasses multiple dimensions, including curriculum alignment,
experiential learning opportunities, technology infrastructure, faculty expertise and
training, research and innovation, industry engagement, and graduate outcomes. Through a
systematic evaluation of these dimensions, educational institutions can gauge their
readiness and effectiveness in equipping students with the skills and competencies
required for success in Industry 5.0. Furthermore, this assessment facilitates
identification of areas for improvement and strategic investment to enhance the role of
education in driving innovation, economic growth, and workforce development in the era
of Industry 5.0.
Mechanisms of replication and backup of databases in the cloud environment
Authors: Hnatchenko Dmytro , Kryvoruchko Olena , Vinichuk Oleksandr
Published: August 2024

The functionality of deploying databases on cloud computing environments, the main
tools of the MS SQL SERVER DBMS for saving data in industrial databases, as well as the
construction of a fault-tolerant database cluster on industrial servers are considered.
All possible methods of data synchronization between the main and backup database, as
well as methods of data backup to the cloud are considered. Researching the mechanisms
of database synchronization and data backup, as well as the construction of a
fault-tolerant cluster, will allow to consider in more detail the methods of data
storage, synchronization with backup databases and the construction of a fault-tolerant
cluster, synchronization of the main and backup databases. Mechanisms for synchronizing
the main and backup database of the server are primarily considered. The technology with
a high level of database availability is AlwaysOn, which in turn creates a cluster of
two databases and allows you to build a fault-tolerant cluster in which two databases
work simultaneously and are simultaneously synchronized with each other. Application of
Transaction Log Shipping technology will automatically send backup copies of transaction
logs from the source database to the source server instance in one or more databases.
When using data synchronization technology, database servers work in Active –
StandBy/ReadOnly mode, that is, the main database will always be the main one, and if
necessary, switch to the backup database. Also, replication technology is a set of
technologies for copying and distributing data and database objects between databases,
as well as synchronizing databases to maintain consistency. Accordingly, the
construction of a fault-tolerant database cluster will allow maintaining the
functionality of the enterprise's information system even if one of the database servers
completely loses its functionality.
Improving the competency of it project-based-organizations by the usage of virtual
teams
Authors: Kontsevyi Vladyslav
Published: August 2024

The unique nature of projects, specific characteristics of organizational
structures, composition of project teams, and other factors can create problems in
communications management. IT organizations working with the use of virtual teams in
their activities face specific problems in the management of communications and related
processes of transferring information, data and knowledge. When people work in a team in
a virtual environment, certain methods should be used that can ensure the effectiveness
of communication management in projects. The article analyzes the types of virtual
teams, their advantages and disadvantages in project management and the use of the
FIRO-B model to identify team leaders and manage them. A method for determining the
leader of a virtual team using the specified model is proposed, which helps to
understand the needs and behavior of team members, ensuring better team cohesion and
leader effectiveness. A conceptual model of the information environment of
communications of such teams and a model of managing a virtual team from the standpoint
of its development and improvement of competence are proposed. An analysis of COBIT and
ITIL standards was carried out to ensure the management structure of corporate
information technologies along with the coordination of project processes with business
goals and objectives. Methods of managing IT services that meet business needs have been
studied. It was determined that the use of the FIRO-B model in combination with the
specified frameworks will provide project-oriented IT organizations with methods for
determining and developing competence both at the organizational and team levels, which
takes into account the emotional state of a person and his ability to spread emotions to
other team members. Emotional impact is quantified using a “virtuality quotient,” which
measures the impact virtual team members have on each other.
The basics of creating IT-project management software and monitoring the solvency
of bank clients.
Authors: Stepashkina Kateryna , Desiatko Alona , Kurochkin Dmutro
Published: August 2024

The article is devoted to the study of the main stages of software product
development, in particular, the creation of a demo version of the application. This demo
version helps to determine whether there is a need for an application aimed at assessing
the solvency of bank customers, and also helps to understand what functions are
important to users. It also covers the principles of creating a software product that
not only works but also meets market requirements. This is achieved by using the market
interest testing method, which allows determining whether there is a demand for a
particular product or service. Considerable attention is paid to the general grounds for
the emergence of credit relations, which arise from commodity production, where the key
element of credit functioning is the circulation of value within the commodity exchange.
In this process, there is a time gap between the circulation of goods and their monetary
equivalent, which leads to the separation of the monetary form of value from the
commodity form. However, the turnover of goods is not the only reason for the emergence
of credit relations. Nowadays, credit relations arise in any economic or financial
transaction related to the debt of one of the parties to such a transaction. The article
highlights the importance of user feedback and its impact on the further development of
the application. It also emphasizes the need for continuous improvement and adaptation
of the product to changing market conditions and user requirements. In particular, the
importance of using analytical tools to track user behavior and feedback is discussed,
which allows for timely product adjustments. The issues related to the effective
management of IT projects, both traditional and flexible methodologies, approaches and
techniques used to manage IT projects are considered. The author proposes to use the
Scrum method for IT project management and provides recommendations for the effective
implementation of IT projects. When bringing an IT product to the market, there are not
yet sufficient grounds to conclude that the project is successful, as issues such as the
mechanism for selling the product, the level of customer satisfaction, and the need for
changes remain unresolved. In addition, the success of an IT project to create a new
product cannot be determined by successful implementation alone - it is important to
ensure the integrated operation of the developed IT system. Therefore, the success of an
IT project is measured not only by its successful implementation but also by the
efficiency of its operation, as well as by the product's ability to meet customer needs
and bring profit to the company. In addition, it is important to consider that the
success of a project depends on many factors, including market conditions, competition,
customer needs, etc. Thus, the article provides valuable guidance and recommendations
for developing software products that meet market needs and user requirements.
Definition of toxicity of 2-(((3-(2-fluorophenyl)-5-mercapto-4H-1,2,4-triazol-4-yl)imino)methyl)phenol
Authors: Притула Р. Л.
Published: August 2024

Research on compound toxicity is a crucial step in introducing biologically active substances as potential medicinal agents. Studying the toxic effects of a compound upon single administration provides detailed information on the dose-toxicity relationship. These data are crucial for establishing effective doses during repeated exposure toxicity studies. To introduce this promising compound as a potential antifungal agent, additional toxicity studies are necessary. Such an approach will determine the safety of this compound before its further use in medical practice.
The aim of our study is to investigate the acute toxicity of 2-(((3-(2-fluorophenyl)-5-mercapto-4H-1,2,4-triazol-4-yl)imino)methyl)phenol using both computer prediction methods and in vivo experimental studies.
For the prediction of 2-(((3-(2-fluorophenyl)-5-mercapto-4H-1,2,4-triazol-4-yl)imino)methyl)phenol toxicity in silico, computer programs GUSAR (Germany), ProTox 3.0 (Germany), TEST (USA), and pkCSM (Australia) were utilized. This approach significantly reduces the number of studies required to determine substance toxicity. The acute toxicity study of 2-(((3-(2-fluorophenyl)-5-mercapto-4H-1,2,4-triazol-4-yl)imino)methyl)phenol was conducted in vivo using the V. B. Prozorovsky express-method on white nonlinear rats of both sexes. The Student's parametric criterion was used for statistical data processing.
As a result of applying toxicity prediction models, it was established that the investigated compound belongs to substances of low toxicity. Such an approach to toxicity assessment allows for a quick and effective conclusion regarding the risks associated with the use of this substance and determining potential safety and risks. According to K. K. Sidorov's classification, 2-(((3-(2-fluorophenyl)-5-mercapto-4H-1,2,4-triazol-4-yl)imino)methyl)phenol belongs to the IV toxicity class. This is important information for assessing the risks associated with the use of this compound.
According to the results of computer prediction, acute toxicity indicators with high values of cross-validation and correlation coefficients were established. This indicates the potential feasibility of using the QSAR analysis computer method in further research.
Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks
Authors: Cortés Castillo Antonio
Published: August 2024

In this article, we discuss the use of Generative Artificial Intelligence (GenAI) to improve the efficiency and performance of access to wireless points located in various spaces and specific places, which allows interaction with wireless mesh networks and enables the use of mobile devices to access all types of information in internal environments. Furthermore, we propose the use of generative neural networks, which are one of the pillars of GenAI, since they use a methodology from the perspective of Machine Learning that allows analysis of a large amount of data and detection of certain types of patterns that help in the better placement of access points for improved reception and connectivity. Images (heat maps), access point locations, positioning points, and bandwidth are analyzed, allowing new information to be created. On the other hand, to understand and model the general architecture of the wireless Ad-Hoc network, we use two processes that are part of neural networks, such as Multilayer Perceptron (MLP), and the Radial Basis Function (RBF), which is a function of predictors or independent variables or input variables that allows the prediction error in the output variables of the wireless network architecture to be reduced. Using these two processes does help reduce blind spots in those internal places where the wireless signal does not reach, resulting in a signal drop. Improving internal scenarios with wireless Ad-Hoc networks is what is required for better functioning and performance of the network infrastructure.
Thermal Stress and Dengue Fever: Exploring the Correlation between Elevated Temperatures and Heat Waves in Disease Dynamics
Authors: Bukhari Shoukat , Ali Khan Salauddin , Malik Jahanzeb , Ashraf Amna , Yaseen Khizer , Karim Ali , Faraz Maria
Published: August 2024

This article explores the intricate connection between high temperatures, heatwaves, and the prevalence of Dengue fever. It investigates how elevated temperatures impact Aedes mosquito vectors, the Dengue virus, and human behavior, thereby increasing the risk of disease transmission during heatwaves. The article highlights the significance of epidemiological studies and recent advancements in predictive modeling, vector control, and vaccine development in unraveling this complex relationship. The urgency of addressing the intersection of climate change and Dengue is emphasized, given the expanding regions affected by Dengue and the wide-reaching consequences on public health and society. The conclusion underscores the imperative need for collaborative efforts among researchers, policymakers, and the global community to mitigate climate-induced risks and foster a more resilient future.
The transition from equations presented in matrix form for the perturbed Earth’s rotation to excitation equations
Authors: Pasynok S. L.
Published: August 2024

A convenient method for studying the influence of disturbing factors on Earth’s rotation, such as influence of oceans, atmosphere and hydrology, is representation of the Earth’s rotation equations in the excitation equations form, which was introduced by W. Munc and G. Macdonald. Traditionally, these factors are taken into account in two stages: first, an exact solution is found for an equation of the unperturbed rotation for given Earth’s model, and then the influence of small perturbation factors is taken into account in the form of corrections to the exact solution of unperturbed Earth’s rotation. The equations of unperturbed rotation for most modern theories of Earth’s rotation (and, possible, futures too) can be written in the form of matrix linear differential equations. The purpose of this study is to take into account the influence of small perturbations such as oceans, atmosphere and hydrology on Earth’s rotation in newly created theories of Earth’s rotation. A fairly general algorithm of converting perturbed equations in matrix form to the form of the excitation equations has been developed and presented. As an example, this method was applied to the relatively simple equations of the Sasao, Okubo and Saito theory based on the original Earth’s model of Molodenskii. The equations for finding corrections to the original solution are reduced to the form of excitation equations. The developed algorithm is proposed to be used to transition to equations in the form of excitation in newly created theories of the Earth’s rotation.
Adiantum spp. Maidenhair Fern
Authors: Gilman Edward , Klein Ryan W. , Hansen Gail
Published: August 2024

This document is about the maidenhair fern (Adiantum spp.), a delicate, airy fern native to North America. It thrives in shady, moist environments and is suitable for both outdoor landscapes and indoor settings with bright, indirect light. The fern features light grey-green, soft foliage and is best planted in masses or as ground cover. It requires well-drained soils with high organic matter and does not tolerate dry conditions. The document details its growth habits, soil preferences, and potential pests, highlighting its ornamental value and suitability for various garden settings. Original publication date October 1999.
Caesalpinia mexicana Mexican Caesalpinia
Authors: Gilman Edward
Published: August 2024

This document provides a detailed description of the Mexican caesalpinia (Caesalpinia mexicana), a small tree or large shrub known for its fine-textured foliage and bright yellow flowers. It outlines the plant’s characteristics, including its moderate growth rate, evergreen leaves, and drought tolerance. The document also discusses its potential uses in landscaping, such as near patios, in parking lot islands, or as a container plant. Additionally, it highlights the plant’s adaptability to various soil types and its general pest resistance. The Mexican caesalpinia is noted for its ornamental value and suitability for tough planting sites. Original publication date October 1999.
Calathea makoyana Peacock Plant
Authors: Gilman Edward
Published: August 2024

This document provides an overview of the Calathea makoyana, commonly known as the peacock plant. It describes the plant’s striking foliage, which features variegated leaves with dark purple undersides. The peacock plant is a herbaceous perennial suitable for USDA hardiness zones 10 through 11 and can be grown indoors or outdoors. It thrives in shaded areas with high humidity and well-drained, organic-rich soil. The document also highlights the plant’s moderate growth rate, upright habit, and sensitivity to pests like mites. Propagation methods include cuttings or division. Original publication date October 1999.
Capsicum annuum Ornamental Pepper
Authors: Gilman Edward , Howe Teresa
Published: August 2024

This document provides an overview of ornamental peppers (Capsicum annuum), detailing their growth habits, planting requirements, and uses. Ornamental peppers are annuals or perennials in warmer climates, known for their colorful fruits that range from red, purple, yellow, orange, to white. They thrive in full sun or partial shade and require a rich, evenly moist growing medium. The document also highlights their non-invasive nature, moderate growth rate, and resistance to pests. Additionally, it covers the plant’s physical characteristics, including height, spread, leaf arrangement, and fruit features. Original publication date October 1999.
Cycas circinalis Queen Sago, Sago Palm
Authors: Gilman Edward
Published: August 2024

This document provides a detailed overview of the queen sago (Cycas circinalis), a palm-like shrub known for its slow growth and ornamental appeal. It describes the plant’s physical characteristics, including its dark brown trunk, feathery leaves, and potential height and spread. The document also covers the plant’s growing conditions, such as its preference for part shade to full sun, high drought tolerance, and soil requirements. Additionally, it highlights the queen sago’s uses in landscaping, its propagation methods, and common pest issues. The queen sago is noted for its suitability as a specimen plant in large areas and its minimal maintenance needs once established. Original publication date October 1999.
Gomphrena globosa Common Globe Amaranth
Authors: Gilman Edward , Howe Teresa
Published: August 2024

This document provides an overview of the common globe amaranth (Gomphrena globosa), detailing its characteristics, planting requirements, and uses. The plant is described as an annual with globe-shaped flowers in various colors, commonly used in mass plantings, rock gardens, and containers. It thrives in full sun and moderately dry soil, showing resistance to heat and minimal pest issues. The document also outlines its growth habits, including height, spread, and leaf arrangement, and notes its availability and non-invasive status. Propagation is typically by seed, and the plant is noted for its drought tolerance and suitability for areas with limited irrigation. Original publication date October 1999.