Collection Of Information Research Articles

Process Management Framework for Health and Safety at Work (SST) Companies

Objective: This study aims to develop and implement a process management framework for Occupational Safety and Health (OSH) companies, seeking to optimize the organization and execution of services, identifying improvement opportunities throughout the customer journey, from contract closure to renewal. The proposal is to offer an adaptable model that meets industry demands and enhances the operational efficiency of companies. Theoretical Framework: The theoretical framework addresses the evolution of Regulatory Standards (NRs) since the 1970s and the importance of complying with labor laws for the safety and health of workers in Brazil. The role of eSocial, created in 2014 to unify and ensure the collection of employer information, is highlighted, as well as its function in alerting them to legal risks. Method: The methodology used was action research, as defined by Oquist (1978). The research involved mapping the operational processes of OSH companies to identify areas for improvement. The first version of the framework was developed, tested, and based on the results, improved into a second version. The improvements were based on tests and validations conducted throughout the process. Results and Discussion: The first version of the framework showed positive results but also highlighted the need for improvements, which were incorporated into the second version. Changes included the restructuring of steps and the addition of a new phase focused on the commercial process. Satisfaction surveys with internal and external clients, as well as accounting firms, indicated positive acceptance but also a lack of systemic vision among professionals, affecting the quality of the work. Research Implications: The research implications are significant for the OSH sector. The developed framework improves the organization and efficiency of service-providing companies. The study also highlights the importance of performance indicators to monitor performance and mitigate risks, such as customer loss. It is recommended that future research explore the adaptation of the framework to new technologies and automation. Originality/Value: The originality of this study lies in the creation of a process management framework specifically for OSH companies, where organization and efficiency are essential for complying with labor regulations and ensuring worker safety. The value of the work resides in its practical contribution to the sector, offering an adaptable model that can be improved based on feedback and technological advancements.

Оценка стоимости проектирования локальной вычислительной сети предприятия водного транспорта

The main stages of designing a local area network at a water transport enterprise are considered. The goals and objectives of each stage are outlined, the most significant stage in the design is highlighted – a pre-design survey, within which a thorough collection of information from the customer (industry enterprise) should be carried out and the parameters and conditions for the functioning of the future network should be determined. It is important to take into account the need for employees to work in industry information systems and the specifics of working with them, as well as to provide appropriate reliable equipment for the correct and uninterrupted operation of the enterprise. An example of a room plan for water transport enterprises is given, it is noted which physical characteristics must be taken into account when developing the plan. A general list of equipment for the future local area network is defined, active and passive equipment are noted. The main advantages and disadvantages of communication lines are considered. Examples of a physical circuit and a logical circuit for connecting computers to a network in an enterprise are given. The federal and regional information systems used at water transport enterprises for the implementation of state functions are listed. Enterprises can use a large number of such systems simultaneously, as well as real-time access from several workplaces to one system. The cost of designing the local network of a water transport enterprise was estimated, it was determined that the largest part falls on material costs.

Optimization of Data Management through a Web System based on Business Intelligence and Agile Kanban Methodology

The collection of information through a questionnaire for planning purposes played an important role in defining the requirements of the web system, functioning as a fundamental basis for the next step in the software development phase. The application of the Kanban way of thinking has proven to be effective in managing work, supported by greater openness during the system creation phase. The surveys and interviews carried out show that the initiative is important and necessary to improve decision-making and processes. The incorporation of Kanban principles is based on an exhaustive analysis using tools such as PHP, Bootstrap and MySQL to facilitate the process and achieve maximum efficiency. Through the web-based system, it is possible to centralize information, allowing its access and management in real time. Business intelligence is also used to perform in-depth analysis, helping to identify patterns and potential opportunities for improvement. It was considered appropriate to choose the Kanban methodology due to its collaborative and incremental approach, ideal for adapting to change and providing constant value. The results confirm the solidity of our methodology and the relevance of the choices made in the development of this web application based on Business Intelligence and Agile Kanban Methodology.

Simbolik Geometri Dalam Catan Sulaiman Esa Melalui Prinsip Seni Islam

This paper explains geometric motifs through Islamic aesthetic point of view in the painting Garden of Mystery VI (1992) by Sulaiman Esa. Islamic art prescribes the whole way of life and all the activities that humans carry out in syumul (complete togetherness), including in the study of art. Islamic art is one of the advances in the civilization of the Islamic world and geometry is among the three motifs of Islamic art that are highly praised by the world community apart from calligraphy and Arabes. Islam has established those religious aspects play an important role in determining the basis and foundation to produce an element in the arts. It can be identified in geometric motifs through shape, meaning and symbolism that tend to have the concept of ‘Shari'a’. The main purpose of the study was to identify the types of geometric motifs and patterns in the painting artwork Garden of Mystery VI (1992). Explore the relationship between formalistic aspects of Islamic art and aesthetics through the production of Sulaiman Esa's paintings. This study also aims to see the aesthetic value of Islam which involves the pronunciation of symmetry in the context of mathematical culture. The written and visual data collection methodology in this study uses a qualitative approach that involves the design of case studies based on fieldwork empirical data obtained. Methods of observation, documentation and visual recording were used for the collection of research information. The findings of the study show that geometric motifs are decorations in Islamic art that comply with Islamic law and have their own privileges. An understanding of the form, purpose, philosophy, concept and purpose of geometric design application should be applied in Islamic painting artwork to form Islamic images and identities. Once again guide Islamic painters to internalise, understand and try to stimulate painters to dignify the true motives of Islam.

Philanthropy of Pesantren Towards Socio-Economic Welfare (Study At Markaz Bayt Al-Musaadah Social Institution, Mambaus Sholihin Gresik Islamic Boarding School)

Cases of misuse of social funds have slowed down welfare programs for the poor and dhuafa'. The establishment of Markaz Bayt Al-Musa'adah under Pesantren Mambaus Sholihin provides a breath of fresh air, with pesantren now required not only to produce a generation that understands religion, but also as a pillar of Islamic sharia economics. This research uses a qualitative method with a case study approach to explore the economic empowerment and management of philanthropic funds by Markaz Bayt Al-Musa'adah of Pesantren Mambaus Sholihin Gresik. This method involves in-depth data collection and various sources of information as well as participation in the field. The results show that Markaz Bayt Al-Musa'adah has implemented community economic empowerment through skills training programs and assistance to underprivileged students. The management of social funds is carried out transparently and accountably based on the principles of Islamic philanthropy, with managers working without taking profits, solely for the sake of Allah and the intention of khidmah to the caregiver.

The Future Museum: Integrating Augmented Reality (AR) and Virtual-text with AI-enhanced Information Systems

This study examines how AR, virtual text, and AI in future museums affect visitor engagement, knowledge acquisition, emotional response, and social interaction. The study uses econometrics equations, text analysis, thematic qualitative data analysis, and agent-based modelling. The economic models show that virtual text type, depth of knowledge, personalization, accessibility options, and AR museum experiences increase visitor engagement, knowledge, emotional response, and social interaction. Thematic analysis displays visitor viewpoints such as AR curiosity, personalization, and cultural significance, while correlation matrices indicate their relationships. Bayesian econometrics, text analysis, thematic qualitative data analysis, and agent-based modelling are used to explore museum visitors' interactions with augmented reality, virtual text, and AI-enhanced information systems. These devices improve visitor engagement, social connection, emotional response, and information collection. Self-reported data biases, context biases, and rapid technological advancement limit the study. Museums can benefit from user-centric technology, AR, personalization, and cultural knowledge. The main findings reveal that these technologies significantly increase museum visitors, emphasizing that future museum administration and design must carefully adopt new technology. The findings may affect museum staff, designers, and decision-makers. Learning important technology factors improves AR, virtual text, and AI-enhanced information system design and deployment decisions. UX design prioritizes visitor choices, while immersive and integrated displays connect museum experiences. These practical implications force museums to actively and practically integrate technology to stay relevant. The project's findings, practical insights, and visitor experiences will improve future technological and cultural organisation research. The whole process contributes to the discussion on how emerging technologies affect museum experiences and innovation and decision-making in the ever-changing cultural heritage context.

Implementasi SAK EMKM Terhadap UMKM di Kota Pontianak (Studi Kasus Pada FT Laundry)

The majority of businesses in Indonesia are micro, small and medium enterprises (MSMEs). Due to their presence in various sectors, MSMEs play an important role in driving the country's economy. Nonetheless, MSMEs face obstacles and lack of understanding in following the Financial Accounting Standard for Micro, Small, and Medium Entities (SAK EMKM) which highlights the importance of preparing financial statements. This study aims to investigate how FT Laundry MSMEs prepare their financial statements whether they are in accordance with SAK EMKM standards through a qualitative research approach involving document analysis, interviews, and observations. Data was analyzed using the methods of information collection, data reduction, data presentation, and conclusion drawing. Based on the research findings, it appears that owners of laundry businesses still rely on traditional accounting methods for their financial records and do not adopt the SAK EMKM financial reporting system. The main reasons why these businesses do not adopt SAK EMKM include a lack of understanding of the system, a lack of manpower who can prepare reports in accordance with SAK EMKM guidelines, and a lack of awareness of the importance of preparing reports in accordance with the standard.

Information technology and its role in the activities of judicial institutions

The article is devoted to the definition of the month and the role of information technology in the activities of judicial authorities. It is established that information technology is a set of methods and tools designed for effective work with information. Regardless of how technologies change or how they are used in various spheres of public life, their main purpose remains unchanged - to ensure the collection, processing, accumulation and use of information. It is substantiated that the integrated use of information technologies in the administration of justice is considered to be one of the key elements of a significant improvement of the functioning of the judicial system of Ukraine. The possibility of online access to court registers, information on the stages of court proceedings, and electronic exchange of legal documents are just a few examples which have become possible due to the introduction of information technology into the work of domestic courts. This type of technology can be used to increase the transparency and accountability of the judiciary, thereby helping it to perform its functions and duties in a more efficient manner. Modern technologies allow judges and court staff to access large electronic databases, including case law and regulations, which greatly simplifies and speeds up the decision-making process. The ability to use e-mail and other digital communication tools has ensured efficiency and convenience in the exchange of information between all participants in the judicial process. Another important achievement is that citizens can now apply to the court electronically, making justice more accessible and convenient. This innovation reduces barriers to going to court, speeds up the process of submitting documents and allows participants in the proceedings to track their progress in real time. Thus, information technology not only facilitates the work of courts, but also makes justice more transparent, accessible and efficient, which ultimately increases public confidence in the judicial system as a whole. The use of information technology together with the Internet has opened up the judicial system to the public.

Feasibility of trauma video review for the collection of medication-related information for research and quality improvement.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Trauma video review (TVR) involves reviewing video recordings of team-based trauma response to evaluate team performance, identify improvement opportunities, and assess procedures, but the feasibility of using TVR to gather medication-related information is unknown. We aimed to assess the feasibility of using TVR for data collection of medication-related variables for research and quality improvement by comparing and describing differences between TVR and electronic medical record (EMR) review. This was an observational study of level I/II trauma patients treated between November 2022 and March 2023. Patients with video recording started within 1 minute of arrival, at least 1 medication administered, and with pharmacist participation in care were included. The number of variables able to be collected by TVR or EMR review were compared and reported in the categories of medication administration, indicators of adverse drug events (ADEs), medication errors, and communication. The numbers and types of discrepancies between data collection modalities were quantified and described. Agreement between TVR and EMR review was assessed and reported as an intraclass correlation coefficient (ICC). Twenty-five patients were included; 758 and 1,011 variables collected by TVR and EMR review, respectively. In total, 689 variables were collected by both methods, and data collection modalities matched exactly in 4 of 25 patients (16%); ICC, 0.677 (moderate level of agreement). There were 46 (6.7%) discrepancies; 84% involved communication related variables. TVR missed more variables than EMR review, mostly medication errors and inability to assess ADEs but captured more communication-related variables. TVR and EMR review together offer a greater source of medication-related information for data collection compared to either alone. EMR review collected medication administration, ADE, and medication errors variables more often than TVR and TVR was better able to collect communication-related variables. When designing studies/quality improvement efforts related to medication use during trauma resuscitation (e.g., pharmacist impact on time to administration), combined data collection modalities should be used, when available.

Regional tuning of photoreceptor adaptation in the primate retina

Adaptation in cone photoreceptors allows our visual system to effectively operate over an enormous range of light intensities. However, little is known about the properties of cone adaptation in the specialized region of the primate central retina called the fovea, which is densely packed with cones and mediates high-acuity central vision. Here we show that macaque foveal cones exhibit weaker and slower luminance adaptation compared to cones in the peripheral retina. We find that this difference in adaptive properties between foveal and peripheral cones is due to differences in the magnitude of a hyperpolarization-activated current, Ih. This Ih current regulates the strength and time course of luminance adaptation in peripheral cones where it is more prominent than in foveal cones. A weaker and slower adaptation in foveal cones helps maintain a higher sensitivity for a longer duration which may be well-suited for maximizing the collection of high-acuity information at the fovea during gaze fixation between rapid eye movements.

The Next Generation of Energy Intelligence: the Tactical Level

This article analyzes research dedicated to energy intelligence and proposes a definition of this concept as the process of systematically gathering and analyzing information about the energy resources, markets, policies, and technologies of countries. This process ena-bles the assessment of their economic and security impacts on a global (strategic) level. The article describes the purpose and primary objectives of energy intelligence, which in-volve the systematic collection and analysis of information about energy resources, mar-kets, and policies to understand their impact on business decisions, economic factors, and security aspects through a deep analysis of energy trends and geopolitical risks. The clas-sification of energy intelligence is provided, highlighting its main types. The article de-scribes the methods of energy intelligence (SIGINT, IMINT, OSINT, HUMINT, EX-IMINT) used for collecting and analyzing information about energy systems and re-sources. The subtypes of military energy intelligence are examined separately, emphasiz-ing their role in military conflicts. An important aspect of the article is the development of a method for parametric identification of military targets based on energy consumption values, which allows for more precise identification and evaluation of military targets in modern combat scenarios. Thus, the article provides a comprehensive overview of the top-ic, emphasizing the importance of an integrated approach and the involvement of various stakeholders to ensure effective energy intelligence.

A Method for Predicting the Result of University Employment Education Transformation Based on Multi-Source Information Technology

In the data on the outcomes of higher education employment transformation, there is high correlation among multiple independent variables, leading to multicollinearity. If multicollinearity exists, it can complicate the establishment of predictive analysis models and the interpretation of relationships between variables for higher education employment transformation outcomes. The employment issues of college graduates have become a focal point of social concern. These issues not only reflect the employment status of college graduates but also indirectly indicate the quality of higher education and the level of talent cultivation. Therefore, a prediction method for the effectiveness of higher education employment transformation based on multi-source information technology is proposed. According to the theory of multi-source information technology, an employment data classification framework is constructed to integrate multi-source information. The matching operator function output values are calculated, weights are determined, and the final college student information collection results are output. The standard error between employment unit types and salary ranges is analyzed, clustering training samples are trained, and the distance from each employment information sample to the centroid is calculated to obtain preprocessing results of the transformation outcomes, thus avoiding the impact of multicollinearity on the results of higher education employment transformation. A model structure for analyzing factors influencing higher education employment is established, allowing for an understanding of the characteristics of different types of educational resources and enabling the prediction of the effectiveness of higher education employment transformation. Experimental results show that this method can accurately monitor the dynamic employment situation of university students. After applying this method, the standard error and probability error values are significantly reduced, proving to be significantly effective in predicting the outcomes of higher education employment transformation.

“The Foreman Judges for Money, the Clerk Writes for Wine”: Abuses of Power by Officials of the Peasant Self-Government of the Tomsk Governorate on the Pages of the Newspaper “Altai Life” (1911–1914)

The author examines the problem of authority abuse by officials of peasant self-government bodies in the Tomsk Governorate. While numerous studies have explored this topic, they have usually relied on statistical reports and materials from ethnographic expeditions as primary sources. Unfortunately, periodicals have been underutilized as historical sources due to the challenges of collecting and processing substantial amounts of information. Consequently, valuable insights into the maladministration of local authorities have been overlooked, as newspapers contain a wealth of related data. To address this gap, the author of the article studied all 1 111 issues of the daily newspaper “Life of Altai” from 1911 to 1914. Among these issues, 109 (10 %) contained publications about officials, including volost foremen, volost clerks, village headmen, village clerks, sotskii, and desyatskii. Only five of these notes had positive characteristics, while the rest discussed minor shortcomings and gross violations. The article concludes that the newspaper’s accusatory publications drew attention to the problem of providing personnel for local peasant selfgovernment. Officials were forced to publish refutations and adjust their behavior to maintain their positions. In cases of gross and repeated abuses, higher authorities ordered inspections, the results of which, as a rule, dismissed the peasants from their positions. The author proved that the newspaper “Life of Altai” was an effective means of combating abuses by rural and volost officials.

Mobilizing International Australian Collections Locally for Global Benefit

From the earliest days of Australian colonization and exploration, botanical collections have been sent to herbaria overseas for western scientific study. Where there is a duplicate set, collections have been repatriated back to Australia with time, but many specimens remain housed overseas. These specimens document the floral diversity of Australian ecoregions that have now been altered, and of species that have not yet been described and may now have been lost to our ecosystems. Many such collections have type specimens, and others have historical exploration and botanical significance, many of which are not readily available for taxonomic and cultural research. One such collection, the Cambridge University Herbarium (CGE), is the fourth largest herbarium in the United Kingdom (Gardiner 2018) and contains more than 13,700 specimens of Australian origin. A collaborative project between the Western Australian Herbarium (PERTH) and CGE, supported by The Winston Churchill Memorial Trust, Australia, has enabled Australian collections to be located, updated, digitized, mobilized, and shared—decolonization and repatriation in digital form. With only five weeks to undertake collection-based activities at CGE, the effort focused on the Australian vascular plant collections. These were systematically located and retrieved from the CGE world collections of flowering plants and ferns (conveniently geographically arranged), and the John Lindley and Charles Fox Bunbury collections, which were only partially incorporated into the world collecitons. Curation was limited to significant repairs and incorporation of loose specimens into the collections. Annotated type specimens were placed within separate folders for easy future identification and curation. Barcodes were adhered to each sheet, and basic metadata was gathered prior to imaging (taxonomic name on the sheet, storage location, type status). Sheets were imaged using two Nikon D850 45.7MP digital single-lens reflex cameras in a lightboxes; image files were converted to 16-bit TIFF for archival storage, full-sized JPGs, and 1MB JPGs for online delivery. With approximately half of the specimens transcribed in September, 2024, preliminary findings include the following: The majority of the Australian collections in CGE are from Western Australia, Tasmania, New South Wales, and South Australia with significantly fewer collections from other Australian states and territories. The majority of specimens were collected in the 1800s and early 1900s, with dominant collectors being James Drummond (collecting in Western Australia), Ronald Gunn (collecting in Tasmania), William Philip Hiern, John Lhotsky, Joseph Jackson Lister, Sir Thomas Livingstone Mitchell, Georgiana Molloy, Fredrick Stimpson Salisbury, and William John Swainson. Prominent individual personal herbarium collections represented included those of Charles Morgan Lemann (1806–1852), John Lindley (1799–1865), John Stevens Henslow (1796–1861) and Charles Edward Moss (1870–1930). Most specimens have little locality information (e.g, "New Holland", "Van Diemen's Land", "Swan River"). More than 475 type specimens have been identified. More than 145 vascular plant families, 875 genera, and ca. 4500 (many non-current) species are housed within the collections (representing approximately 15% of Australian vascular plants). The majority of the Australian collections in CGE are from Western Australia, Tasmania, New South Wales, and South Australia with significantly fewer collections from other Australian states and territories. The majority of specimens were collected in the 1800s and early 1900s, with dominant collectors being James Drummond (collecting in Western Australia), Ronald Gunn (collecting in Tasmania), William Philip Hiern, John Lhotsky, Joseph Jackson Lister, Sir Thomas Livingstone Mitchell, Georgiana Molloy, Fredrick Stimpson Salisbury, and William John Swainson. Prominent individual personal herbarium collections represented included those of Charles Morgan Lemann (1806–1852), John Lindley (1799–1865), John Stevens Henslow (1796–1861) and Charles Edward Moss (1870–1930). Most specimens have little locality information (e.g, "New Holland", "Van Diemen's Land", "Swan River"). More than 475 type specimens have been identified. More than 145 vascular plant families, 875 genera, and ca. 4500 (many non-current) species are housed within the collections (representing approximately 15% of Australian vascular plants). Full transcription of label data (collector, collection date, collection number, locality information, and other collection information) and taxonomic curation is ongoing. Data and high resolution images will be made available soon to the scientific community, historians, and the public for data curation and annotation through the Atlas of Living Australia and other digital platforms. Access to these specimens will be invaluable for botanical research in this age of accelerated biodiversity loss, and as travel to, or shipping of, physical specimens is increasingly fraught and costly.

Does Innovation Sustainability Attract Retail Investors? The Clientele Effect in China

Innovation sustainability is essential for businesses to maintain their competitive edge and ensure long-term growth. This not only benefits individual companies but also entire industries. Despite its importance, research on retail investors’ preferences for innovation sustainability remains limited. To address this gap, we analyzed unique data on shareholder numbers in listed Chinese companies from 2007 to 2020. We differentiate between institutional and retail investors to analyze the latter’s preferences. This finding indicates that retail investors prefer to invest in companies with higher innovation sustainability. This preference stems from their limitations in capabilities of information collection, analytical skills, and risk diversification. The clientele effect is more pronounced when companies face a poor innovation environment, an opaque information environment, and a weak political connection. This study contributes to the existing literature by providing empirical support for the clientele effect and shedding light on retail investors’ preferences and investment behavior. By focusing on company fundamentals, our study extends the examination of the clientele effect to the corporate governance level. These insights have significant implications for promoting sustainable development, impacting both companies and the capital market.

Forensic assessment of maternal deaths from the COVID-19 during the 2021 pandemic

BACKGROUND: According to the literature, the mortality rate from SARS-CoV-2 infection among pregnant women is up to 25%. The high-risk group for the development of severe forms of COVID-19 includes pregnant women with extragenital pathology. Obstetric tactics are determined by the severity of the condition of the mother and fetus, as well as the duration of pregnancy. The decision on early delivery is made as a result of an interdisciplinary medical consultation. Delivery in the midst of the disease is associated with an increase in maternal mortality. According to the literature, including our own research, it has been established that the basis for favorable perinatal outcomes in patients with severe and moderate forms of COVID-19 is: an adequate assessment of the condition of the pregnant woman and fetus (especially at the outpatient stage, where the pregnant woman goes first), early hospitalization, early initiation of intensive care and timely delivery before the onset of irreversible organ changes in pregnant women. AIM: The aim of this study was to analyze the tactics of pregnancy management, delivery and perinatal outcomes, assessing the quality of medical care at the outpatient and hospital stages provided to pregnant women who died in a specialized obstetric hospital from the extremely severe new coronavirus infection COVID-19 (based on the data of commission forensic examinations). MATERIALS AND METHODS: This retrospective study of pregnancy outcomes was performed in 11 patients who died from complications of extremely severe COVID-19 in a regional specialized obstetric hospital in Russia based on the data of commission forensic examinations performed in the Bureau of Forensic Medical Examination (Saint Petersburg, Russia) in 2021, at gestation periods of 28–34 weeks (n = 7) and 37–39 weeks (n = 4) in the context of assessing the quality of medical care in the field of obstetrics and gynecology. We confirmed the diagnosis of the new coronavirus infection COVID-19 in 10 (90.9%) patients by SARS-CoV-2 RNA identification using polymerase chain reaction in a nasopharyngeal smear on an average of 4.9 ± 3.6 days from the onset of the disease. In one patient, the clinical diagnosis was confirmed postmortem by the detection of SARS-Cov-2 RNA during autopsy (in the trachea, lungs, and spleen). All patients in the hospital underwent a comprehensive anamnestic, clinical and laboratory examination in the amount regulated by the administrative regulations of the Ministry of Health of the Russian Federation that were relevant at the time of providing medical care. Nine (81.8%) patients sought medical help from a local therapist on 3.1 ± 1.6 days from the onset of the disease and received outpatient treatment for 3.4 ± 1.8 days, two patients not seeing a doctor and receiving outpatient care. The average time before admission to the specialized obstetric hospital was 6.0 ± 2.2 days from the onset of the disease. RESULTS: During the forensic assessment of the medical records of deceased patients, significant defects in the quality of medical care were identified in the framework of this study at the stages of information collection, diagnosis, treatment, and succession. An indirect causal relationship was established between the most significant defects in the quality of medical care and adverse pregnancy outcomes, since the cause of death or critical conditions were individually determined severe complications, rather than defects in medical care, which, nevertheless, does not exclude their significance in the totality of causes of severe maternal outcomes. CONCLUSIONS: The data obtained indicate the need for earlier delivery in pregnant women with the new coronavirus infection COVID-19 before the appearance of irreversible changes in patients with progressive respiratory failure, multiple organ failure syndrome, systemic inflammatory response syndrome, and cytokine storm.

The Future of Healthcare Data Governance AI-Enabled ETL Testing Frameworks on Data Warehousing Testing automation using ML, AI and NLP

The healthcare sector enhances the integration of artificial intelligence, natural language processing and machine learning in data governance for developing automation procedures. Data management offered AI-powered ETL testing with the adoption of an automation framework for resolving data governance issues . This insight promotes operational efficiency with assurance of data quality that empowers data security by ML, AI and NLP frameworks. The framework allows healthcare institutions to arrange unstructured data in effective insights into patient care and treatment procedures. Advanced analytics leads to the development of predictions on patient outcomes in treatment procedures. The automated process of ETL improves efficient information collection by NPL with the creation of predictive models in monitoring data management by ML

MANAJEMEN KEUANGAN KELUARGA PEDAGANG DI PASAR SIBANG GEDE

The income of traders depends on uncertain sales income every day. To be able to manage family finances, management, and planning are needed to ensure that expenses are not greater than income. This study aims to examine the understanding of financial management, the application of financial management, and the obstacles to financial management for traders in the Sibang Gede market. This study's data and information collection methods included interviews using questionnaires and documentation. The analysis method used is qualitative descriptive analysis. The results of this study indicate that traders in the Sibang Gede market do not understand financial management. Traders choose to record income daily, do not apply long-term planning, apply short-term planning, and own assets in the form of houses and motorbikes. Traders in the Sibang Gede market do not make financial plans, do not record family finances in books, and do not compile budgets. Traders do not have investments, and all traders in the Sibang Gede market choose to use banks as a place to save. The obstacles Sibang Gede market traders face are income instability caused by fluctuations in consumer demand, traders not being accustomed to making financial reports, and traders not being familiar with modern finance.

TINGKAT KEPUASAN PETANI PADA KINERJA PENYULUH DALAM MELAKSANAKAN PROGRAM PENYULUHAN PERTANIAN DI DESA PARIS KECAMATAN MOOTILANGO

The study aimed to determine the level of farmer satisfaction with the agricultural extension program in extension program in Paris Village. This research was conducted in Paris Village, Mootilango Subdistrict using a survey research type with information collection techniques carried out using a list of questions compiled in a questionnaire. This study had a sample of 39 respondents who used the Important Performance Analysis (IPA) analysis technique. Based on the results of this analysis, it is found that the performance of agricultural extension workers is good in carrying out extension activities on time and carrying out tasks according to their needs. Agricultural extension workers have good insight and communication skills so that farmers in Paris Village quickly understand the delivery provided by agricultural extension workers and extension workers can provide solutions to solving problems and work together in practicing farming activities, comply with each other in the agricultural system, have many ideas and offer innovations in guiding agricultural extension activities.

Enhancing the convenience of frailty index assessment for elderly Chinese people with machine learning methods.

Frailty is a state that is closely associated with adverse health outcomes in the aging process. The frailty index (FI), which measures frailty in terms of cumulative deficits, has been widely used for frailty assessment in elderly people, and its advantage of self-reported information collection makes it applicable to a broader group of elderly people. Our study aims to simplify the Frailty Index Assessment Scale, while maintaining its reliability and accuracy, to easily and quickly assess frailty in elderly people. In this study, participants (age ≥ 65 years) from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which had 13,339, 372 and 1214 participants in 2008, 2011, and 2014, respectively, were used. The 2008 dataset was split into 80% for training and 20% for internal validation, and the data from 2011 to 2014 as external validation. In order to obtain effective predictors, we used Lasso regression, Boruta algorithm and random forest classifier score for feature selection. We used six models for predictive model construction and evaluated the models in the validation dataset. Model performance was measured by area under the curve (AUC), accuracy and F1 score. Logistic regression was found to be the best performing and most interpretable algorithm with AUC, accuracy and F1 of 0.974, 0.932 and 0.880 for the validation dataset, respectively. The AUCs for the external independent validation dataset were 0.963 and 0.977, respectively. Subgroup analysis showed that the model had good predictive power in both males and females. The predictive power was stronger among the elderly people over 80 years old, with AUC, accuracy and F1 of 0.973,0.914, and 0.893, respectively. The model also obtained good predictive power in the case of FI measured by different indicators. The model showed good robustness in the follow-up assessment of frailty status in elderly people, with the AUC remaining above 0.95 and accuracy above 0.9 over the long-term follow-up. Using machine learning techniques, we have successfully developed a simple frailty assessment prediction model based on 10 key features to shorten the frailty assessment scale with near full-scale accuracy. A user-friendly website was created to facilitate the application of this prediction model ( https://healthy-aging.shinyapps.io/Frailty_Assessment/ ).