bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship Between Ki-67 And Breast Cancer A historical cohort study
Authors: nemati mehran , Moslemi Daryoush , Ranaee Mohammad
Published: November 2023

purpose
According to past studies and the importance of Ki-67 in breast cancer, a clear cut-off point for prognosis and prediction of recurrence has not yet been determined; Therefore, the purpose of this study is to investigate the level of Ki-67 in breast cancer patients and its relationship with other laboratory markers and clinical findings, and finally its relationship with patient survival.
Methods
Patient information was extracted from their medical records. patients in stages Ⅱ and Ⅲ who underwent a mastectomy, chemotherapy, radiation, and hormone therapy were included in the study, and patients with incomplete information were excluded. According to the Ki-67 level, patients were divided into three groups and followed up for 36 months.
Results
According to the inclusion and exclusion criteria, 500 patients were included in the study. Ki-67 level had a significant relationship with disease stage (p = 0.037), tumor size (p = 0.006), estrogen (p < 0.001), and progesterone (p < 0.001) receptors, HER2 (p < 0.001) and molecular subgroups (p < 0.001), as well as with disease-free interval (DFI) (p < 0.001), but it had no significant relationship with patients' age and lymph nodes. In examining the relationship between Ki-67 level and disease-free interval in each molecular subgroup, there was a significant relationship only in luminal A (p = 0.003) and luminal B (p = 0.004) subgroups, and it was not significant in HER2-enrich and triple-negative subgroups.
Conclusion
Ki-67 can be useful in predicting recurrence, especially in patients in luminal A and luminal B molecular subgroups.
Microstructurally Informed Subject-Specific Parcellation of the Corpus Callosum using Axonal Water Fraction
Authors: Chung Sohae , Fieremans Els , Novikov Dmitry S. , Lui Yvonne W.
Published: November 2023

The corpus callosum (CC) is the most important interhemispheric white matter (WM) structure composed of several anatomically and functionally distinct WM tracts. Resolving these tracts is a challenge since the callosum appears relatively homogenous in conventional structural imaging. Commonly used callosal parcellation methods such as the Hofer/Frahm scheme rely on rigid geometric guidelines to separate the substructures that are limited to consider individual variation. Here we present a novel subject-specific and microstructurally-informed method for callosal parcellation based on axonal water fraction (ƒ) known as a diffusion metric reflective of axon caliber and density. We studied 30 healthy subjects from the Human Connectome Project (HCP) dataset with multi-shell diffusion MRI. The biophysical parameter ƒ was derived from compartment-specific WM modeling. Inflection points were identified where there were concavity changes in ƒ across the CC to delineate callosal subregions. We observed relatively higher ƒ in anterior and posterior areas consisting of a greater number of small diameter fibers and lower ƒ in posterior body areas of the CC consisting of a greater number of large diameter fibers. Based on degree of change in ƒ along the callosum, seven callosal subregions can be consistently delineated for each individual. We observe that ƒ can capture differences in underlying tissue microstructures and seven subregions can be identified across CC. Therefore, this method provides microstructurally informed callosal parcellation in a subject-specific way, allowing for more accurate analysis in the corpus callosum.
Case report: CADASIL with cysteine-sparing P572L mutation on exon 11 presenting as focal onset epilepsy
Authors: Geng Yumei , Li Huimin , Guo Zhenli , Wang Mengying , Tao Yunhan , Kang Huicong
Published: November 2023

Background: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common hereditary cerebral small vessel disease. It is caused by a NOTCH3 mutation and usually involves changes in cysteine residues. The clinical manifestations of CADASIL with cysteine-sparing mutations and seizures require further clarification because of the limited number of cases reported.
Case presentation: The proband, a 66-year-old female, was admitted for secondary generalized tonic-clonic seizures (GTCSs) twice. Magnetic resonance imaging (MRI) showed severe white matter hyperintensity (WMH) sparing the temporal lobes and lacunar infarcts in the basal ganglia, but without microbleeds or brain atrophy, prompting the suspicion of CADASIL. Her medical history revealed that she had cognitive impairment for 31 years, migraine without aura for 26 years, and gait disturbances for six months before admission. Interictal video electroencephalogram revealed sporadic medium-amplitude sharp waves in the right temporal region. Although skin biopsy showed no granular osmiophilic material deposition, whole exome sequencing confirmed a c.1715C>T, p. Pro572Leu mutation on exon 11 of NOTCH3, and the diagnosis of CADASIL was made. Her son was confirmed to take the same mutation presented migraines without aura and mild cognitive impairment, but with normal MRI, while sanger sequencing denied the mutation in her two daughters. Consistent with relevant literature, WMH with less involvement of the temporal lobes may be characteristic of cysteine-sparing mutations. The lower incidence of epileptic seizures in CADASIL may be due to ischemic lesions and white matter lesions in the cortex or subcortex, or an independent clinical manifestation. In addition, GTCSs secondary to focal onset may be more common in patients with CADASIL.
Conclusion: We firstly described a CADASIL patient with cysteine-sparing P572L mutation on exon 11 of NOTCH3 in detail and then provides novel insights on cysteine-sparing mutations in CADASIL, especially the presentation of GTCSs secondary to focal onset (temporal lobe).
Nomogram predicted overall survival and cancer-specific survival of patients with cardia gastric adenocarcinoma (CGA): A Population- Based Study
Authors: Zhang Zu-Yu , Wei Hong , Liu Qian , Wang Yao-Qiang , Luo Rui-Ying , Luo Chang-Jiang
Published: November 2023

Background: This study aims to develop and validate two nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of cardia gastric adenocarcinoma (CGA) patients.
Methods: A total of 6069 patients diagnosed with CGA were selected from the SEER database. They were further randomized in a 7:3 percentage into training and validation cohorts. Univariate and multivariate Cox proportional hazards regression were conducted to evaluate the prognostic factors of OS and CSS. Based on this, two nomograms were constructed to predict the prognosis of CGA patients. We used the area under the ROC curve (AUC), concordance index (C-index), and calibration curve to determine the predictive accuracy and discriminability of the nomograms. The decision curve analysis (DCA) was employed to confirm the clinical effectiveness of the nomograms further. Patients were risk-stratified according to nomogram scores, and Kaplan–Meier curves were plotted to compare survival outcomes among risk subgroups.
Results: COX regression analysis showed eight independent risk factors associated with OS and nine independent risk factors associated with CSS. Based on the above results, two nomograms were constructed in the training cohorts for predicting OS and CSS in CGA patients. The results showed that the OS nomogram C-index of training cohorts was 0.711 (95%CI: 0.702-0.719) and the CSS nomogram C-index was 0.731 (95%CI: 0.722-0.740). The OS nomogram C-index of validation cohorts was 0.723 (95%CI: 0.710-0.736) and the CSS nomogram C-index was 0.746 (95%CI: 0.732-0.759). The calibration curve and ROC indicated that the nomogram prediction agreed well with the actual survival. AUC(>0.75) and DCA indicated that the model had good clinical application value. In addition, survival results between different subgroups according to the risk of the Kaplan-Meier curve has obvious differences.
Conclusions: Two prognostic nomograms for CGA patients were developed to help clinicians judge the prognosis of patients and make clinical decisions.
Is home environment associated with child fluid reasoning abilities in middle childhood in high-risk settings? Findings from a cross-sectional study in Pakistan
Authors: Rasheed Muneera A. , Nilsen Sondre Aasen , Strand Tor A. , Shaheen Fariha , Kvestad Ingrid
Published: November 2023

Background
Evidence from low- and middle-income countries (LMIC) suggests that home environment is associated with early childhood development outcomes. However, studies from LMIC that have examined how the home environment during middle childhood is associated with cognitive abilities are scarce. The objective of the study was to explore the association between different aspects of the home environment at 7-8 years and fluid reasoning abilities in a rural, high-risk cohort in Pakistan.
Methods
We employed a cross-sectional research design to examine 1172 children between 7-8 years and their families, utilizing the Home Observation for Measurement of Environment for Middle Childhood (HOME-MC) to evaluate various aspects of the home environment and the Fluid Reasoning Index (FRI) of the Wechsler Intelligence for Children (WISC) 5th edition to gauge the fluid reasoning abilities of the children. Multivariable regression analyses were used to examine the association between different indices of HOME-MC and FRI.
Findings
Learning materials and opportunities (β = 1.74, 95% CI= 1.15, 2.33) and Responsivity (β = 1.73, 95% CI=1.07, 2.38) indices had the strongest association with FRI score followed by Family companionship index (β = 1.27, 95% CI=.63, 1.90). The eight different indices of the home environment explained 22% of the total variation in FRI scores.
Conclusion
We conclude that concurrent learning opportunities, parental responsivity and family companionship at home are associated with fluid reasoning abilities during middle childhood which is comparable to what has been found in early childhood years.
Evaluation of malaria outbreak detection methods, Uganda, 2022
Authors: Zalwango Marie Gorreti , Zalwango Jane F. , Kadobera Daniel , Bulage Lilian , Nanziri Carol , Migisha Richard , Agaba Bosco B. , Kwesiga Benon , Opigo Jimmy , Ario Alex Riolexus , Harris Julie R.
Published: November 2023

Background: Malaria outbreaks are detected by applying WHO-recommended thresholds: the less sensitive 75th percentile or mean+2 standard deviations [2SD] for medium-to high-transmission areas, and the more sensitive cumulative sum [C-SUM] method for low and very low-transmission areas). During 2022, >50% of districts in Uganda were in an epidemic mode according to the 75th percentile method used, resulting in a need to restrict national response to districts with the highest rates of complicated malaria. We evaluated the three threshold approaches to compare their outbreak-signaling outputs and help identify prioritization approaches and method appropriateness across Uganda.
Methods: We applied the three methods as well as adjusted approaches (85th percentile and C-SUM+2SD) for all weeks in 2022 for 16 districts with good reporting rates (≥80%). Districts were selected from regions originally categorized as very low, low, medium, and high transmission; we calculated district thresholds based on 2017–2021 data and recategorized them for this analysis.
Results: Using district-level data to categorize transmission levels resulted in recategorization of 8/16 districts from their original transmission level categories. In all districts, more outbreak weeks were detected by the 75th percentile than the mean+2SD method (p<0.001). For all 9 very low or low-transmission districts, the number of outbreak weeks detected by C-SUM were similar to those detected by the 75th percentile. On adjustment of the 75th percentile method to the 85th percentile, there was no significant difference in the number of outbreak weeks detected for medium and low transmission districts. The number of outbreak weeks detected by C-SUM+2SD was similar to those detected by the mean+2SD method for all districts across all transmission intensities.
Conclusion:
District data may be more appropriate than regional data to categorize malaria transmission and choose epidemic threshold approaches. The 75th percentile method, meant for medium- to high-transmission areas, was as sensitive as C-SUM for low- and very low-transmission areas. For medium and high-transmission areas, more outbreak weeks were detected with the 75th percentile than the mean+2SD method. Using the 75th percentile method for outbreak detection in all areas and the mean+2SD for prioritization of medium- and high-transmission areas in response may be helpful.
WITHDRAWN: Prognostic factors for survival after allogeneic transplantation in acute myeloid leukemia: A censored quantile regression model
Authors: Tatari Maryam , Kasaeian Amir , Mousavian Amir-Hossein , Oskouie Iman Menbari , Yazdani Akram , Zeraati Hojjat , Yaseri Mehdi , Mousavi Seyed Asadollah
Published: November 2023

Background:Hematopoietic stem cell transplantation is an effective treatment for several malignant and nonmalignant disorders, including hematopoietic disorders and immunological abnormalities. In adults with acute myeloid leukemia, allogeneic hematopoietic stem cell transplantation (allo-HSCT) is an appropriate therapeutic choice. In this study, we aimed to investigate prognostic factors for survival after allo-HSCT in AML patients.Methods:This historical cohort study was carried out using data from 742 adult AML patients with allo-HSCT. Data were gathered from the medical records of patients referred to Shariati Hospital, Tehran, Iran, between 2008 and 2019. Recipient age, diagnostic time to HSCT, patient and donor ABO blood group match, donor type (siblings, other relatives and unrelative), sex-matched status, disease status, and occurrence of acute graft-versus-host disease (aGVHD) were the factors considered in this study. A censored quantile regression model was used.Results:The 5-year overall survival (OS), disease-free survival (DFS), and GVHD-free relapse-free survival (GRFS) rates were 58%, 53%, and 30%, respectively. OS for recipients older than 35 years was 0.95 and 1.12 years lower than that for recipients under 35 years in the 25th and 40th percentiles, respectively. Compared with complete remission (CRΙ), the mentioned percentiles of OS for patients with CRIII disease decreased (1.72 and 3.72 years for CRIII, respectively). Additionally, the OS of ABO blood group-matched patients were 0.92 and 1.29 years greater than that of ABO major mismatch patients in the previous percentiles. patients who had relapses after HSCT have a shorter survival of 2.25 and 4.21 years, respectively. Recipient age, ABO match (major ABO mismatch), disease status, donor type and occurrence of aGVHD were significant prognostic factors for DFS. Finally, for GRFS, recipient age, sex match, disease status, donor type and occurrence of aGVHD play a role as important prognostic factors.Conclusions:Patients may live longer and have a higher quality of life if they receive a transplant when their disease is still in its early stages and they are still younger. This study may help oncologists and hematologists understand the prognostic factors of patient survival in a different range of survival to increase patients' lifetime.
Design and application of gearbox vibration testing system
Authors: Geng Shengrong , Chen Jian , Lv Changwei
Published: November 2023

Judging the working status of a gearbox through the characteristics of vibration signals was an effective fault diagnosis method. In order to improve the efficiency and reliability of vibration detection, a multi node testing system based on a microcontroller was designed and validated. The system mainly consists of signal processing equipment, signal collector, upper computer, sensors, and experimental workbench. Under different types of gear faults, the vibration signals of ten sets of gearboxes were synchronously collected and processed. In order to ensure the resolution of frequency conversion and accurately locate frequency conversion, the low-pass filtered spectrum with a filtering frequency of 1000 was verified and used to calculate the amplitude of frequency conversion. The normalization of amplitude was more conducive to feature recognition, and the frequency amplitude was proportional to its corresponding energy. According to standard spectral data and spectral analysis, wear, pitting, fracture, and bonding faults in the gearbox were identified and classified. Through the verification of three order feature spectrum, it can be seen that the accuracy of fault prediction for gearbox through vibration signals is high, which can effectively reduce maintenance and repair costs.
Effect of excitation frequencies on phase contrast in tapping mode atomic force microscope
Authors: Zeng Yu , Liu Guolin , Liu Jinhao , Wei Zheng
Published: November 2023

There are several imaging modes in AFM, and the tapping mode is the most commonly used scanning mode. Tapping mode can acquire the height information and phase information of the sample surface, among which the phase information has more value, which can reflect the physical properties of the sample surface. In order to understand the phase imaging mechanism of AFM, this paper uses the vibration theory to derive the theoretical expression of phase, and finds that the excitation frequency will directly affect the phase contrast. Based on this, this paper finds, through theoretical and experimental analysis, that there exists an optimal excitation frequency that maximizes the phase contrast during the scanning process. These results are important for interpreting the phase image of AFM and thus optimizing the phase imaging in experiments.
Kinematic analysis and geometrical parameters justification of a planetary-type mechanism for actuating an inertial vibration exciter
Authors: Korendiy Vitaliy , Parashchyn Oleh , Heletiy Volodymyr , Pasika Viacheslav , Gurey Volodymyr , Maherus Nadiia
Published: November 2023

Vibration exciters are of most important units of any vibratory equipment defining its design peculiarities, operational features, functional purpose, and performance characteristics. Among a great variety of vibration exciters, the unbalanced rotors are of the most widely used. The present research considers the possibilities of providing specific motion trajectories of the vibratory machines’ working members with the help of the planetary-type vibration exciter. The methodology of this study is divided into two main stages: deriving motion equations of an unbalanced mass located on a planet gear and analyzing the possibilities of generating rectilinear, elliptical, and circular motion paths by choosing the appropriate geometrical parameters of the planetary gear train. The results of the performed kinematic analysis are presented in the form of the unbalanced mass trajectories, velocities, and accelerations at different design parameters of the planetary-type mechanism. The main scientific novelty of the present study is substantiating the possibilities of using the single-degree-of-freedom planetary-type mechanism for generating the controllable motion trajectories of the unbalanced mass of an inertial vibration exciter. The obtained results can be practically implemented while developing novel adjustable drives for various vibratory equipment, particularly compactors, sieves, screens, and conveyors.
Conocimiento vernáculo-racional para el diagnóstico turístico de Rayón, Estado de México
Authors: Díaz Alejandra , Serrano-Barquín Rocío del Carmen , Palmas Castrejón Yanelli Daniela
Published: November 2023

El turismo es una actividad económica y fenómeno social, donde la sociedad es un subsistema que impacta; por lo que se requiere de la percepción y la participación comunitaria en el diagnóstico y gestión turística. Precisamente, en esta investigación se retoma el concepto de turismo armónico y la metodología (META) para caracterizar el Sistema Complejo Rayón, de acuerdo con el conocimiento vernáculo-racional articulado con el subsistema biofísico y antrópico, los atributos de la sustentabilidad y la flexibilidad en la selectividad de componentes por parte del investigador, para generar un diagnóstico que promueva el desarrollo local mediante el turismo como actividad económica complementaria. Este estudio es de corte exploratorio, descriptivo y cualitativo. Se realizó una revisión literaria y el uso técnicas del método etnográfico, tales como; recorridos de campo, observación directa y entrevista a profundidad a diferentes actores sociales locales y, la perspectiva emic y etic para manifestar que el Sistema Complejo Rayón muestra adaptación basada en la participación social y comunitaria para fomentar la recuperación y difusión del patrimonio natural y cultural mediante un (micro)turismo, pero se requieren lazos comunitarios para generar beneficios a la comunidad, además, de la importancia de diagnósticos previos antes de cualquier intervención.
Impacto ambiental por residuos no peligrosos en una industria petroquímica del Sur de Tamaulipas, México
Authors: Vargas Castilleja Rocío , Rolón Aguilar Julio César , Hernández Jasso Jamie Sahory
Published: November 2023

El aumento en la generación de residuos y el constante crecimiento, requieren cuantificar las emisiones para dimensionar la problemática y contribuir en la mitigación. El estudio evaluó el impacto por residuos no peligrosos mediante indicadores orgánicos e inorgánicos, tales como las toneladas anuales de papel y cartón, plásticos, metal ferroso, residuos de comida, jardín y madera, para tres Escenarios Base (EB) para el periodo 2016-2018, escenario de referencia (integración de los escenarios base) y escenario futurible determinado por el incremento en la producción. Estos escenarios se construyeron con base en la disponibilidad de información del área de seguridad y medioambiente de la industria, para calcular el CO2-eq (Dióxido de Carbono Equivalente) mediante la herramienta GEI-MRS basada en parámetros preestablecidos que se adaptan a la disposición de información y a las condiciones del caso de estudio. El EB para el 2016 estimó 60 t/a/CO2-eq, el EB del 2017 presentó 46 t/a/CO2-eq, el EB del 2018 generó 14 t/a/CO2-eq, mientras que el escenario referencia determinó 60 t/a/CO2-eq. Los datos aportan una visión prospectiva para la toma de decisiones en una industria petroquímica del Sur de Tamaulipas, contribuyendo a la problemática del incremento de los residuos desde un sector particular con implicaciones regionales.
Screening of Direct Foreign Investment as Current Trend in Regulating Investment Process
Authors: Khalilov R. R.
Published: November 2023

The article analyzes current trends in the field of foreign investment regulation. Principle attention was paid to studying causes and after-effects of countries’ passing on to screening of direct foreign investment (DFI). The article provides analysis of changes in the EU legislation concerning regulation of investment processes in strategic and most sensitive sectors and industries of European economy. Regulatory changes aiming at toughening procedures of foreign investment check-up are being discussed by host countries. Sectors and types of activity, which are often checked on threats for national security, were identified. Differences in approaching DFI screening management on the part of certain countries were highlighted and screening practice in China, France, Germany and Belorussia was analyzed. Examples of using screening in investment legislation of the Russian Federation were given. The author provided recommendations on increasing transparency of the mechanism of DFI checking, predictability of investment policy and introduction of information and communication channels, as well as extension of the field of using procedures for provisional authorization.
Social and Economic Standing of Low-Income Groups of Population in Conditions of Inflation Rate Growth and Volatility of Customer Prices
Authors: Nekipelova D. V.
Published: November 2023

The article analyzes social and economic standing of low-income people. In spite of legislative standards protecting key groups of socially vulnerable population from absolute poverty such categories, as old-age pensioners, disabled persons, young children and even employable population, the so-called poor workers still belong to the low-income population. It is obvious that the major proportion of low-income people consists of individuals, who get allowances and social payments therefore their financial provision depends mainly on state. When poverty proliferates among the population of the Russian Federation, the development of the effective model of material provision for people dependable on state, for instance indexation of various social payments with due regard to the inflation rate and volatility of consumer prices is an essential challenge of today. It is especially acute in the current situation, when home economy encounters constant pressure, the more effective the model will become, the quicker the goals aimed at cutting the poverty rate and improving social and economic standing of people will be attained. However, the model shall be developed and other steps taken with due regard to realistic possibilities of federal and regional budgets.
Methodological Foundation of Searching for Optimal Point in the Life Cycle of Entrepreneurial Organization to Pass on to Self-Regulating Ecosystem
Authors: Kirillova O. Yu. , Kuzin V. V.
Published: November 2023

The global crisis resulted in a serious drop in economic activity, which causes the necessity to transform organizational forms of commercial companies. Today researchers and practical experts more and more often are looking for analogues in biological world comparing organizational development mechanisms and the development of life in general. One form of organizational interaction both for studying and for practical application can be the ecosystem with its macro- and micro-surroundings. Economic ecosystems enter our life, develop flexibly and improve their efficiency at the expense of drastic cost cutting and introduction of their mechanisms in cooperation with users. The recent research in the field of economic ecosystems is discrete and mainly theoretical that can hardly characterize practical mechanisms used nowadays. The important aspect of using the ecosystem approach in entrepreneurial organization management implies a sufficient and adequate set of indicators of expediency and opportunity for building the ecosystem, which is discussed in the article.
Decarbonization in the System of Key Trends of Economic Development
Authors: Altukhova E. V. , Asyaeva E. A. , Markov M. A. , Perepelitsa D. G.
Published: November 2023

Current trends of economic development form the necessity to observe new requirements and restrictions. It shows a new turn of the progressive development in different spheres of human activity. Challenges of sustainable development call for concrete positions in the system of risk management. Dynamic emergence of innovation technologies and services speed up processes of decision-making, and urge on business-processes to more serious changes. Today the key lines in business transformation include building-up clean energy and shaping green economy and green society. At the same time, efficiency of business entities’ work is estimated not only in view of financial results, but also within the frames of total ecological effect with simultaneous submission of report data. The goal of the present research is to identify points of growth and development in the system of today’s contradictions and to define priorities of state policy in order to coordinate interests of industry and requirements of sustainable development. The article substantiates the importance of finance sector in the system of providing harmonization of decarbonization policy and economic development. It is also important to take into account the whole list of tools, methods and infrastructural elements promoting the effective interaction of all participants of the decarbonization process at the level of separate state and within the frames of global international space.
Eyond Finance Results: Comprehention of Non-Finance Results of Esg-Management
Authors: Sevostyanov P. I. , Kulakova E. Y. , Makaev A. R.
Published: November 2023

The article provides factors of successful strategic management of the organization in view of goals of sustainable development (ESG-management), mechanisms of their impact on competitive advantage progress and sustainable development rise. Elements of corporate sustainability of today’s companies are studied and the role of its ecological, economic and social aspects in business-strategy is shown in the long-term perspective. The authors research key methods of monitoring and estimating the efficiency of company sustainable development management. On the basis of the research the author’s interpretation of principle overseas models is put forward, which could form a foundation for reports on economic, ecological and social activity of the organization in Russian circumstances. The authors came to the conclusion, that the absence of reliable indicators for understanding business impact on the environment and society and lack of state regulation represent the basic reasons why many companies have not integrated sustainability in their business–strategy. Therefore, changing economic stimuli is a key precondition for ESG-strategy being effective.
Analyzing Factors of Sustainable Development of Organizations Working in Service Sector
Authors: Neofitu E. G.
Published: November 2023

Sustainable development in the service sector means a concept of development, which assumes creation of adequate conditions for meeting customer needs. It embraces economic, social, ecological, cultural and technological aspects that should be taken into account for service rendering. The article studies key groups of factors affecting the sustainable development of the organization working in the service sector. Social responsibility implies that services shall take into due consideration social needs and interests, as well as accessibility for all groups of the population. Organizational and economic sustainability means economic efficiency of service rendering processes to ensure sales and profit of the company and free cash flow. Services shall be ecologically sustainable and be harmless for the environment. Cultural factors are also very important, as they support values and comfortable working conditions and interaction with customers, partners and counterparts. Companies should do their best to improve the quality of services and introduce advanced digital technologies and innovation. It will give them an opportunity to be competitive and meet changing needs of their customers. The notion of dynamic sustainability of the organization working in the service sector was put forward by the author.
Assessing Efficiency of Management System for Business Incubators in Conditions of Import-Substitution
Authors: Nakhevskiy M. V.
Published: November 2023

The article provides the author’s methodology of assessing the efficiency of business incubator management in the period of import-substitution. This methodology is based on the regulatory system of social and economic indicators worked out by the prominent soviet economist, O. M. Syroezhin that is used for analyzing finance and economic results. The essence of the method implies comparison of actual sequence of changes in key indicators with standard sequence in order to find the efficiency of economic system. However, it can be difficult to define the standard sequence, especially in market economy.
Quality Management at Russian Enterprises in Conditions of Import-Substitution
Authors: Burlankov S. P. , Baldina A. S.
Published: November 2023

The article deals with specific features of quality management at Russian enterprises in conditions of intensive import-substitution connected with introduction of economic sanctions against our country. The article briefly studies preconditions of imposing economic sanctions, analyzes specificity of conducting import-substitution in the Russian Federation in recent years, identifies key problems in the field of quality management in respect of importsubstituted products and provides recommendations aimed at raising the efficiency of quality management at Russian enterprises in the current situation. In the field of import-substitution we can observe certain positive trends however we face a lot of problems due to withdrawal from Russia and refusal to cooperate on the part of Western companies, which caused the necessity to re-adjust production processes, to alter supply chains and to build renovated systems of product quality management. Provision of high quality of products is one of the most important objectives in new circumstances, but for this end we shall search for new suppliers of high-quality raw materials and components and we need serious changes in business-processes. Current problems in this field include perception of quality management only from instrumental point of view, insufficient attention to customer needs, the absence of clear-cut understanding of benefits provided by executives’ adherence to philosophy of total quality management, difficulties with introduction of process approach to quality management, the absence at the enterprise of orientation to continuous improvement of quality indicators and so on. When these problems are resolved, we can reach success in the field of quality management.
Using Artificial Intellect Systems to Attain Goals of Sustainable Development
Authors: Barinova N. V. , Barinov V. R.
Published: November 2023

At the current stage of social and economic relation development elaboration of artificial intellect technologies plays the key role and principle goals of sustainable development, where state policy of the Russian Federation is targeted, are connected with these systems. The article analyzed basic problems in the field of artificial intellect essential for reaching sustainable development goals. The authors provided examples of introducing artificial intellect tools to resolve problems of sustainable development presented by Russian and overseas researchers in recent years. The key content of the article is made by analyzing the current standing of artificial intellect in different aspects. The authors highlighted industries, where systems of artificial intellect work effectively, such as finance and economic sphere, public health, aero-space production, agro-industrial field and use of natural resources. The article shows operating artificial intellect systems and their impact on economy and sustainable growth. Arguments in favor of these systems are given, as well as their connection with ESG conception. Finally, conclusions about trends in artificial intellect development in times of digitalization were made.
Structural and Historical Analysis of Interrelation Evalution in the System ‘Society – Nature’: Transformation of Conceptual Ideas in View of Global Ecological Challenges
Authors: Demidov A. V. , Pashovkin A. I.
Published: November 2023

The article analyzes strategic targets of ecologically sustainable balanced development of the Russian Federation up to 2050 and provides key trajectories of their achievement. The authors identified principle challenges to ecological security of Russia in the long term and elaborated strategic tracks of eliminating threats to ecological security of global character. On the basis of the research they proved evolutionary trends of increasing the role of ecological management in current circumstances of society development as an imperative of sustainable global development. Structural and historical analysis of ecological management tool evolution in view of global ecological challenges gave an opportunity to highlight present day tracks in the development of ecologically-oriented processes, systematize priorities and key goals of ecological policy, show ways of managerial decision-making and research methods and tools of management. It was found that the specific feature of the present stage of ecological management tool evolution implies inter-sectoral approach to environment protection and search for brand new ways in solving current social and economic problems.
Reproduction of Qualified HR in Tula Region as Factor of Regional Development in New Social and Economic Conditions
Authors: Kiseleva N. I. , Zhukovsky A. D. , Uzyumova N. V.
Published: November 2023

The article provides analysis of staff provision of the Tula region enterprises, which was conducted by the authors within the frames of sociologic research accomplished in cooperation with the government of the Tula region. On the basis of obtained findings it was shown that the shortage of young and qualified personnel can cause serious risks for the further social and economic development of the region. According to the research, in new fast changing social, political and economic conditions enterprises and organizations in the Tula region are rather optimistic about their prospects concerning HR. In spite of imposed sanctions the level of optimism nearly at all enterprises is high enough. On the one hand, it is a positive factor, on the other hand, it could demonstrate a bit inadequate and hasty assessment on the part of enterprise and organization top management, which requires further analysis, monitoring and control in dynamics. On the turn of 2021-2022 the Tula region did not show a clear trend of workers’ deficit and in current conditions, according to 70% of experts, companies are manned and do not need any changes even in attracting labour migrants from CIS countries to unskilled positions. At the same time small production companies are ready to reduce staff. The shortage of personnel was observed only at education and steel-making organizations. These findings demonstrate both a positive process and new risks, as the absence of vacancies and high competition on the labour market in the Tula region can increase the migration flux among young people to more developed regions, raise demographic burden on the working population and reduce growth and development potential of the region.
Applications of Artificial Intelligence in Robotics
Authors: Sravya Pingili , K. Hemachandran , Ariwa Ezendu
Published: November 2023

Artificial Intelligence is a theory of the cognitive perspective in the province
with robotics to human communication with the perception of action. The ability to
develop computer systems would require human intelligence to perform tasks [1].
Artificial Intelligence plays a prominent role in robotics in providing effective
analytical business solutions like human behavior in the real world. The common root
of artificial intelligence and robotics has a scientific interaction that transforms
technological improvement in robotics application and utilization and has a potential
for future robotics in various applications and AI technologies. The study of the
creation of intelligent robots in Artificial Intelligence is an entity for different
objectives and applications. It is known to many people that artificial intelligence is a
subset of robotics. Robots have human-like behavior by which they can perform tasks
like a human if enabled with Artificial Intelligence.
Data Insights by Using Data Visualization and Exploration
Authors: Swathi Priya Choppala , Potnuru Sai Santosh , Jha Ishank , K. Hemachandran , Dudekula Chinna Swamy
Published: November 2023

Any effort to make data more understandable by presenting it visually falls
under the wide definition of data visualization. The graphic depiction of quantitative
information is called data visualization. In other words, data visualizations turn big and
small data sets into images that the brain can process more quickly. Users using data
visualization can gain insight into vast volumes of data. They can use it to find new
patterns and data mistakes. Users can concentrate on areas that show progress or
warning signs by making sense of these patterns. This procedure then advances the
business. Surprisingly frequently, data representations assume the well-known shape of
charts and graphs in our daily lives. It can be used to uncover unknown facts and
trends. Good data visualizations result when communication, data science, and design
work together. When done properly, data visualizations provide important insights into
huge, complex data sets in simple, understandable ways. Data visualization is the
graphic depiction of information and data. Trends, outliers, and patterns in data are
easy to spot and comprehend with the use of data visualization tools, which employ
visual components like charts, graphs, and maps. Furthermore, it enables employees or
business owners to convey information to non-technical audiences without
misunderstanding them. In the world of big data, it is essential to have access to tools
and technology for data visualization to analyze vast volumes of data and make data-driven decisions. We will discuss data visualization, its significance, data visualization
technologies, and other topics in this article.
Machine Learning Based Crop Recommendation System
Authors: Adapa Keerti , Hanumanthakari Sudheer
Published: November 2023

Agriculture is very important in the Indian economy. Nowadays, due to the
change in climate and the increase in global warming, the weather is an unpredictable
variable. So, the most common issue that Indian farmers encounter is that they fail to
identify the best-suited and appropriate crop for their soil using conventional methods.
As a result, they experience a significant drop in production. This is a big problem in a
country where farming employs over 58 percent of the population and results in low
crop production. To overcome this issue, a model is built using machine learning which
has a better system to guide the farmers, and it is a modern agricultural strategy for
selecting the best crop by considering all the factors like nitrogen, phosphorus,
potassium percentages, temperature, humidity, rainfall, and ph value. This paper
proposes the use of machine learning techniques such as logistic regression, decision
tree, KNN (k-Nearest Neighbours) and Naive Bayes to determine the best-suited crop
based on attributes of soil and environmental factors. In the end, an accuracy of 96.36
percent from the logistic regression, 99.54 percent from the decision tree, 98.03 percent
from the k-nearest neighbours and 99.09 percent from the naive Bayes is obtained,
resulting in the decision tree having the highest accuracy with 99.54 percent. This
paper gives an extensive Exploratory Data Analysis (EDA) on the Crop
recommendation Dataset and builds an appropriate Machine Learning Model that will
help farmers predict their suitable crops based on their parameters.
Artificial Neural Networks based Distributed Approach for Heart Disease Prediction
Authors: Santosh Thakur , K. Hemachandran , Chourasiya Sandip K. , Pujari Prathyusha , Vishal K. , Sowjanya B. R. S. S.
Published: November 2023

A recent study shows that almost 30% of total global deaths are caused by
heart disease. These days precise diagnosis related to heart disease is very difficult. The
doctor advises patients to take various tests for diagnosis, which is a very costly and
time-consuming process as medical databases are large and cannot be processed
quickly. A new approach has been proposed to predict heart disease from historical
data sets. In this chapter, heart disease possibilities in patients are predicted with the
help of neural networks on distributed computing. Feature selection was applied to the
dataset to get better results and to increase the performance. Feature selection reduces
the number of attributes from the dataset and only provides the necessary attributes,
which directly reduces the number of tests required for the diagnosis.
Reinforcement Learning Based Automated Path Planning in Garden Environment using Depth - RAPiG-D
Authors: Murthi S. Sathiya , Balakrishnan Pranav , Abraham C. Roshan , Kumar V. Sathiesh
Published: November 2023

Path planning by employing Reinforcement Learning is a versatile
implementation that can account for the ability of a robot to autonomously map any
unknown environment. In this paper, such a hardware implementation is proposed and
tested by making use of the SARSA algorithm for path planning and by utilizing
stereovision for depth estimation based obstacle detection. The robot is tested in a cell-based environment – 3x3 with 2 obstacles. The goal is to map the environment by
detecting and mapping the obstacles and finding the ideal route to the destination. The
robot starts at one end of the environment and runs through it for a specified number of
episodes, and it is observed that the robot can accurately identify and map obstacles
and find the shortest path to the destination in under 10 episodes. Currently, the
destination is a fixed point and is taken as the other diagonal end of the environment.
The Difference in Obesity Between Adults and Elderly with Knee Osteoarthritis
Authors: Pradigo Raynald , Tarigan Ricky
Published: November 2023

Background: Knee osteoarthritis (KOA) is one of the most common diseases of arthritis. The increase in KOA prevalence is also affected by the increase in obesity prevalence as one of the KOA risk factors.

Aim: To see the difference in obesity association with KOA between adults and the elderly.

Methods: The study design is analytic cross-sectional. 102 cases and controls data each are collected from Tarempa public health center (Phc) medical records by simple random sampling using a random number generator. Data taken is the latest patient visit record in the form of name, age, gender, weight, and height. Data are then analyzed using SPSS. This study's ethical clearance is accepted by the ethic committee faculty of medicine University of Sumatera Utara.

Results: 59 (28.9%) men and 83 (71.1%) women participated in this study. The mean age of KOA subjects is 57.5 ± 11,4 with the most age range being 50-59 years old (38.2%). 71 (69.6%) KOA subjects are obese. The results of data analysis show that people ≥ 50 y.o with obesity were at 2.7 times more risk of suffering KOA than the normoweight or overweight people. There is no association between obesity and KOA in people under 50 years old.

Conclusion:  The risk of obesity developing into knee OA increased with age
Clinical Characteristics of Rheumatoid Arthritis Patients in Malang: Where Are We Now According to the Treat-to-Target Strategy?
Authors: Pratama Mirza Zaka , Suryana Bagus , Megawanto Nurhandi
Published: November 2023

Background: Rheumatoid arthritis (RA) is the most frequent type of systemic inflammatory arthritis.

Aim: to observe RA patients' clinical characteristics in Malang and assess the adherence of the clinical data to the existing guideline for the treat-to-target (T2T) strategy.

Methods: This survey included 111 RA patients who visited the Rheumatology Clinic at Saiful Anwar Hospital in Malang. Patient's demographic information, medical and drug history, body mass index (BMI), tender joint count (TJC), swollen joint count (SJC), visual analogue scale (VAS) for pain, erythrocyte sedimentation rate (ESR), anti-cyclic citrullinated protein (CCP), and rheumatoid factor (RF) were all collected. The disease activity score for 28 joints - ESR (DAS28-ESR) was used to assess disease activity and remission.

Results: The mean duration of the disease was 2.9±1.6 years. Among those patients, four patients (3.6%) got disease remission, and two patients (1.8%) had low activity. Methotrexate (MTX) was given to all subjects for an average of 78.4±11.7 months at a dose of 9.5±2.8 mg/week. Six patients (5.4%) received the DMARD combination of MTX+LEF (4.5%) and MTX+SSZ (0.9%). Most subjects had delayed MTX initiation (mean duration 6.0±2.2 months after the first onset); 77 patients (69.3%) initiated their MTX after >6 months since the first onset. Most subjects got 7.5 mg/weeks (45.0%), while only 11.7% of patients had ≥15 mg/weeks of MTX.

Conclusion:  The remission rate of RA patients in Malang is still low, which can be caused by inadequate adherence to the relevant guidelines and T2T strategy in clinical practices.