bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an intelligent system automating managerial decision-making using big data
Authors: Karshyga Akishev , Tulegulov Amandos , Kalkenov Aslan , Aryngazin Kapar , Nurtai Zhadira , Yergaliyev Dastan , Yergesh Manas , Jumagaliyeva Ainura 
Published: December 2023

The object of the study is the automotive industry of the Republic of Kazakhstan. The subject of the study is the management of the decision-making process in assessing the consumer capabilities of potential customers of car dealerships, the process of forecasting car pricing.
A method using a global search engine optimization algorithm, a forest conveyor line with a random forest model with Bayesian optimization (RFBO), is proposed.
The algorithm of the method is as follows:
– obtaining and processing initial data taking into account the degree of uncertainty;
– formation of the optimization vector;
– creation of descendant vectors;
– ordering of vectors in descending order;
– reducing the dimension of the feature space;
– knowledge base training.
In the presented work, data from websites www.m.Kolesa.kz, www.Cars.com and the average values of the median salary in the Republic of Kazakhstan were used to create a knowledge base, the program code of the platform was created using the Visual Studio Code in the Python language.
The task to be solved was to predict car prices and assess the consumer capabilities of potential car dealership customers.
We evaluate our solution based on a dataset that was created by analyzing several car classified sites and data on potential customers. Our results show that the accuracy of the model training was 92.1 %, and the accuracy of forecasting car prices and evaluating the consumer capabilities of potential customers was 87.3 % – this is primarily due to lower prediction errors than those of the estimated regressors using the same set of input data, high-quality object mapping and a more competitive RFBO algorithm, superior to simple linear models.
The developed software solution should be used for making automated management decisions by car dealerships and credit organizations
Development of a solution search method using an advanced flying squirrel algorithm
Authors: Sova Oleg , Zhuk Oleksandr , Petruchenko Oksana , Artabaiev Yurii , Trotsko Oleksandr , Shaposhnikova Olena , Boikо Ruslan , Redziuk Yevhenii , Shmyhol Viacheslav , Velychko Vira 
Published: December 2023

The object of the study is decision support systems. The subject of the study is the decision-making process in management problems using the flying squirrel algorithm (FSA), an advanced genetic algorithm and evolving artificial neural networks.
A solution search method using an advanced FSA is proposed. The study is based on the FSA algorithm for finding a solution regarding the state of an object. Evolving artificial neural networks are used to train FSA, and an advanced genetic algorithm is used to select the best FSA. The method has the following sequence of actions. Input of initial data and setting agents on the search plane take place. After that, numbering FSA in the flock and setting the initial fitness function are carried out. Then, the quality of food in the FSA search area is determined, and the classification of trees (food sources) for FSA is carried out. The next step is the creation of new locations by FSA gliding, formation of the FSA action algorithm in the presence of a predator. After that, the FSA seasonal monitoring conditions are checked, the stop criterion is checked, and new FSA positions are generated taking into account the degree of data noise.
The originality of the proposed method lies in setting FSA taking into account the uncertainty of the initial data, advanced global and local search procedures taking into account the noise degree of data on the state of the analysis object. The method makes it possible to increase the efficiency of data processing at the level of 21–25 % due to the use of additional advanced procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes in the interests of solving national security problems
Recognizing fake news based on natural language processing using the BM25 algorithm with fine-tuned parameters
Authors: Mishchenko Liudmyla , Klymenko Iryna 
Published: December 2023

The object of the research is the method of natural language processing (NLP) with balanced parameters of the BestMatch25 (ВМ25) algorithm to recognize and classify fake news based on natural language processing (NLP). The unsatisfactory accuracy and speed of existing methods for detecting fake news in unstructured input data demanded the development of a new approach for their effective detection.
The study investigated the BM25 algorithm, methods for selecting parameters k1 and b, and their impact on the algorithm's effectiveness in detecting fake news. It was established that precise and detailed adjustment of these parameters is crucial in achieving optimal accuracy and data processing speed.
The results showed that the successful selection of BM25 parameters improves the model's accuracy by up to 14 % compared to standard term frequency – inverse document frequency (TF-IDF) calculations. These results were made possible by experimentally tuning different combinations of k1 and b parameters, in which the algorithm shows the best speed indicator or the most accurate estimate of the importance of a term in a document. Balanced values of k1 and b parameters were identified, leading to the algorithm's optimal speed and accuracy in assessing word importance considering the input data's peculiarities.
The balanced setting of the BM25 algorithm parameters explains the obtained results. They can be used for automated recognition and analysis of news and information on social media based on natural language processing. However, in practice, the effectiveness of the set of parameters depends on linguistic variations, content, and the theme within new input data sets
The development of method for increasing the decision making efficiency in organizational and technical systems
Authors: Lytvynenko Oleksandr , Bieliakov Robert , Vakulenko Yuliia , Hrinkov Volodymyr , Pokhodenko Borys , Boiko Sergey , Kanishov Viacheslav , Drozdyk Yevhenii , Kovtun Yevhenii , Leinyk Dmitry 
Published: December 2023

The object of research is decision making processes in decision making support systems. The subject of the research is a method of decision making in management tasks using the walrus flock algorithm (WA), an advanced genetic algorithm and evolving artificial neural networks.
A method of finding solutions using an improved walrus flock algorithm is proposed. The research is based on the walrus flock algorithm for finding a solution to the object’s condition. Evolving artificial neural networks are used to train walrus agents and an advanced genetic algorithm is used to select the best walrus agents. The method has the following sequence of actions:
– input of initial data;
– WA numbering in the flock;
– determination of the initial speed of WA;
– display of WA along the search plane;
– preliminary assessment of the WA search area;
– classification of food sources for WA;
– sorting of the best WA individuals;
– an update of WA positions;
– WA migration;
– checking the presence of a predator;
– checking the stop criterion;
– escape and struggle with predators;
– checking the stop criterion;
– training of WA knowledge bases;
– determination of the amount of necessary computing resources, intelligent decision making support system.
The originality of the proposed method lies in the placement of WA taking into account the uncertainty of the initial data, improved procedures of global and local edge taking into account the degree of noise of data on the state of organizational and technical systems. The use of the method makes it possible to increase the efficiency of data processing at the level 13–16 % due to the use of additional improved procedures. The proposed method should be used to solve problems of evaluating complex and dynamic processes
Our Health Counts: Examining associations between colonialism and ever being incarcerated among First Nations, Inuit, and Métis people in London, Thunder Bay, and Toronto, Canada
Authors: Muir Nicole M. , Rotondi Michael , Brar Raman , Rotondi Nooshin Khobzi , Bourgeois Cheryllee , Dokis Brian , Hardy Michael , Maddox Raglan , Smylie Janet 
Published: December 2023

Abstract
Objectives
Indigenous peoples have a disproportionately high prevalence of incarceration in the Canadian justice system. However, there is limited Indigenous-driven research examining colonialism and the justice system, specifically associations between racism, externally imposed family disruptions, and history of ever being incarcerated. Therefore, this study examined the association between the proportion of previous incarceration and family disruption, experiences of racism, and victimization for Indigenous adults in London, Thunder Bay, and Toronto, Ontario, Canada. The three communities expressed that they did not want comparison between the communities; rather, they wanted analysis of their community to understand where more supports were needed.

Methods
Indigenous community partners used respondent-driven sampling (RDS) to collect data from First Nations, Inuit, and Métis (FNIM) peoples in London, Thunder Bay, and Toronto. Prevalence estimates, 95% confidence intervals, and relative risk were reported using unweighted Poisson models and RDS-adjusted proportions.

Results
Proportions of ever being incarcerated ranged from 43.0% in London to 54.0% in Toronto and 72.0% in Thunder Bay. In all three cities, history of child protection involvement and experiencing racism was associated with an approximate 25.0% increase in risk for previous incarceration. In Toronto and London, victimization was associated with increased risk for incarceration.

Conclusion
This research highlights disproportionately high prevalence of ever being incarcerated among FNIM living in three Ontario cities. Experiencing racism, family disruption, and victimization are associated with incarceration. Decreasing the rates of family disruption, experiences of racism, and victimization should inform future policy and services to reduce the disproportionately high prevalence of incarceration for FNIM people living in urban settings.
Предикторы инвестирования в капитал здоровья старшего поколения
Authors: Рождественская Елена , Маланина Вероника , Клемашева Елена , Барышева Галина 
Published: December 2023

Исследования ряда ученых направлены на оценку взаимосвязей социально-­экономических институтов с процессами накопления и сохранения капитала здоровья. Экономические, культурные, социальные и экологические факторы в совокупности оказывают синергетическое воздействие на принятие решений об инвестировании в здоровье, что, в свою очередь, отражается на показателях накопления капитала здоровья в старшем возрасте. Целью данного исследования является анализ предикторов инвестирования в здоровье, влияющих на процессы его сохранения и накопления в старшем возрасте на основе эмпирических данных. Материалом для исследования послужили данные социологического опроса «Капитал здоровья старшего поколения», проведенного в 2022 г. среди лиц старше 55 лет (N=300) на территории Томской области. Установлено, что трудовая активность, уровень удовлетворенности состоянием здоровья и материальным благополучием, а также доверие к учреждениям здравоохранения оказывают статистически подтвержденное воздействие на формирование стратегии инвестиций в здоровье. Выход на пенсию не играет решающей роли в процессе сохранения здоровья, при условии активности в трудовой и социальной сферах. Выявлено, что несмотря на влияние внешней среды на поведенческие паттерны заботы о здоровье, ее роль в формировании капитала здоровья требует дополнительного изучения. Отношение к инвестициям в собственное здоровье разделяется на две подгруппы: тех, кто вкладывает силы и средства в свое здоровье, и тех, кто этого не делает. Обнаружено, что не уделяют внимания инвестициям в здоровье представители возрастной группы 70‒74‑х лет. Такие факторы как пол, место жительства и состав семьи не оказывают значимого влияния на выбор стратегии инвестирования в здоровье. В то же время работающие пожилые люди, ведущие активный образ жизни, чаще выражают удовлетворение своим здоровьем и материальным состоянием и, как показывают статистические данные, более склонны к инвестициям в сохранение и укрепление здоровья по сравнению с пенсионерами, ведущими пассивный образ жизни. Капитал здоровья старшего поколения определяется вложениями в накопление и сохранение ресурса здоровья на протяжении всей жизни, а также возможностями внешней среды, которые либо способствуют, либо ограничивают практики таких инвестиций.
Поддержка принятия решений в социальной сфере на базе цифровой модели
Authors: Боровков Алексей , Незамаева Ольга , Болсуновская Марина , Елгина Ксения , Алексей Алексей , Бурлуцкая Жанна 
Published: December 2023

Данное исследование посвящено разработке и апробации инновационной дискретно-­событийной модели в сфере социальной политики. Представленная модель фокусируется на оптимизации процесса обеспечения жилыми помещениями детей-­сирот и детей, оставшихся без попечения родителей. Модель, реализованная в программном продукте AnyLogic, демонстрирует, как с помощью имитационного моделирования можно анализировать и оптимизировать сложные социальные системы. Эксперименты с моделью позволили оценить эффективность различных управленческих стратегий, включая изменение объема финансирования и распределения ресурсов между разными категориями получателей. Эксперимент позволяет понять, как информационные технологии могут служить мощным инструментом в руках разработчиков социальной политики, и показывает возможности планирования и реализации эффективных социальных программ. Апробация модели на базе Департамента по социальной политике мэрии г. Новосибирска подтвердила ее пригодность для практического применения. Особенностью данной работы является комплексный подход к анализу воздействия различных факторов на социальную систему и возможность прогнозирования динамики изменения ключевых показателей системы при разнообразных условиях. Это открывает перспективы для дальнейших исследований в области социального моделирования, включая интеграцию модели с динамическими демографическими прогнозами и анализом рынка недвижимости.
Статистический анализ факторов брачного статуса в России с учетом возраста и пола
Authors: Копнова Елена Дмитриевна , Родионова Лилия Анатольевна , Иванова Марина Александровна 
Published: December 2023

Исследуются факторы, связанные с брачным статусом населения в России, на основе данных Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ за 2021 г. Использовали мультиномиальную логит-модель множественного выбора. Проанализированы связи с брачным статусом основных демографических, социокультурных, социально-экономических и индивидуально-психологических факторов, таких как пол, возраст, образование, религиозность, занятость, доход, доверие к людям, мировосприятие, самооценка здоровья. Выявлены особенности этих связей для отдельных возрастных и гендерных категорий.
Activating Personal Counter-Archives: The Case of the Amir Hassanpour Fonds
Authors: Ganjavi Mahdi 
Published: December 2023

ABSTRACT
In this article, through a historical and theoretical reflection on the Amir Hassanpour Fonds, held at the University of Toronto, the author investigates the role of personal and community archives in counter-archiving in the Middle East, especially in Iran. He expands on his experience working on appraising, describing, and arranging the Amir Hassanpour Fonds at the University of Toronto Archives and Records Management Services (UTARMS) to argue that archiving a diasporic and revolutionary counter-archive calls for more than a procedural and habitual institutional practice. To activate such a counter-archive, there should be, first, close attention paid to the memory institutions against which the counter-archive has been developed. Such close attention calls for an investigation into the larger political structures in which the memory institutions are embedded. Second, the counter-archive should be understood in the broader modes and methods of cultural and memory resistance in that specific political structure, engaging analytically and theoretically with the creator's counter-archiving praxis, in this case Amir Hassanpour's Marxist internationalist revolutionary approach. The article ends with a brief discussion of the various ways UTARMS attempted to enliven this specific fonds.
PENGEMBANGAN MEDIA PEMBELAJARAN JARAK JAUH MILLIAR (MILLING AUGMENTED REALITY) KOMPETENSI DASAR MENGIDENTIFIKASI BAGIAN-BAGIAN MESIN FRAIS BERDASARKAN JENIS DAN FUNGSINYA
Authors: Putri Arindita , Widiyanti Widiyanti , Edy Duwi Leksono 
Published: December 2023

Hasil diskusi bersama guru mata pelajaran produktif Teknik Pemesinan Frais di SMK PGRI 3 Malang, penyampaian materi dengan metode demonstrasi tidak dapat dilakukan secara langsung, karena seluruh siswa belajar dari rumah sehingga guru hanya menggunakan media powerpoint dan video pembelajaran. Dampaknya siswa mengalami kesulitan untuk mendalami materi dan cenderung bosan. Penelitian ini bertujuan untuk mengembangkan media pembelajaran jarak jauh berbasis augmented reality. Metode penelitian yang digunakan adalah penelitian dan pengembangan dengan model ADDIE. Tahapannya, yaitu: 1) analisis kebutuhan; 2) desain, 3) pengembangan produk dan uji validasi, 4) uji coba siswa kelas X SMK PGRI 3 Malang pada mata pelajaran Teknik Pemesiann Frais, dan 5) evaluasi. Instrumen pengukuran berupa angket dengan skala Likert. Hasil penelitian dan pengembangan berupa media pembelajaran MILLIAR (milling augmented reality) yang terdiri atas modul, aplikasi Android, dan buku panduan penggunaan. Persentase hasil uji validasi mencapai 100% menurut ahli materi, 98% menurut ahli media, dan 100% menurut guru mata pelajaran. Persentase hasil uji coba kelompok kecil oleh 8 siswa mencapai 94,42% dan hasil uji coba lapangan terhadap 54 siswa mencapai 85,22%. Berdasarkan hasil tersebut dapat disimpulkan bahwa media pembelajaran MILLIAR memperoleh kriteria sangat layak untuk diterapkan dalam pembelajaran kompetensi dasar mengidentifikasi bagian-bagian mesin frais berdasarkan jenis dan fungsinya.
Predictors Associated With Prognosis of Patients on the Waiting List for Heart Transplantation
Authors: Kostomarov A. N. , Simonenko M. A. , Fedotov P. A. 
Published: December 2023

Aim To identify predictors associated with the prognosis of patients on the heart transplant waiting list (HTWL) corresponding to UNOS class 2.Material and methods A HTWL database for 2010-2021 was retrospectively evaluated. The study included patients (n=162) who at the time of inclusion into the HTWL met UNOS class 2 and reached the endpoint of death, heart transplantation (HT), or exclusion from the HTWL due to an improvement of their condition. Mean age was 48±13 (from 11 to 67) years, 80% (n=130) were men, and body weight index was 24.9±4.4 kg/m2. Patients were divided into two groups: group 1 (n=131), patients who left the HTWL (improvement of CHF functional class) and patients who maintained the UNOS class 2 until HT; group 2 (n=31), patients who transferred from UNOS class 2 to UNOS class 1B/1A or died while on the HTWL.Results Patients of group 2 had lower systolic BP compared to patients of group 1 (100±17, mm Hg vs. 107±17 mm Hg, respectively, p=0.03). In group 1 compared to group 2, there was a higher proportion of patients with obesity, 29 (22%) vs. 1 (3%) (p=0.02). Laboratory blood tests: absolute lymphocyte count (2.0±0.7×109/L and 1.6±0.9×109/L, p=0.03), serum albumin (42±5 g/l and 40±6 g/l, p=0.03), red cell distribution width (RDW) (16±4% and 18±4%, p=0.01); sodium concentration (139±4 and 136±4 mmol/l, p=0.009). Patients from group 2 had a higher pulmonary vascular resistance (PVR) (4.0±2.4 Wood units vs. 3.2±1.4 Wood units, p=0.01) at baseline. A predictive model (p<0.001) was developed to determine a probability of prognosis in HTWL. The model sensitivity was 75% and the specificity was 67%. High PVR was a predictor that worsened the prognosis in HTWL; higher serum concentrations of sodium and albumin increased the probability of a favorable outcome in HTWL.Conclusion During the period of waiting for HT, 19% of patients that met UNOS class 2 experienced deterioration of their condition (transitioned to UNOS 1) or died. The most important predictors for a better outcome in patients on HTWL who meet UNOS class 2 were higher serum levels of sodium and albumin and low pulmonary vascular resistance.
Treatment management of congenital nasolacrimal duct atresia: A review article
Authors: Medatwal Anurag , Singhvi Puneet , Medatwal Ritu , Garg Manoj 
Published: December 2023

A atresia of nasolacrimal duct which is congenital in nature causing lacrimation and mucous secretion from the eyes. Nasolacrimal duct atresia is the most common disorder of newborns showing symptoms of this condition around 6 to 20 percent. Generally symptoms shows after birth within few weeks with excessive tears and discharge from eye which may be present in single or both eye. Both upper and lower eyelids redness may result due to irritation by tears and eye discharge. Due to this condition it presents like a chronic unilateral or bilateral conjunctivitis.Observation and conservative treatment is the best treatment in infants and nasolacrimal probing is the best treatment option for children above one year of age. But the timing for probing is still under debatable. Other surgical invasive methods like intubation of silicon tube, dilation by balloon catheter and (DCR) dacryocystorhinostomy. So aim of this review study is provide an update on congenital NLD Atresia treatment.
Assessment of mask associated dry eye among doctors and medical students at a tertiary care centre
Authors: Ara Fauzia , Sulabh Shweta , Preethi G  , Sripriya P  , Sulabh Gira , Agarwal Aarti 
Published: December 2023

When faced with outbreaks of infectious respiratory diseases in the past, the use of face masks has often been mandated. The world collectively experienced the devastating COVID-19 pandemic, which originated in Wuhan, China, in October 2019 and rapidly spread across the globe. Wearing face masks became the primary defense against infection. However, during this period, many individuals reported experiencing symptoms of dry eye. This study aimed to investigate the correlation between mask usage and dryness among healthcare workers.A hospital-based cross-sectional study was conducted using an online survey, which included a modified version of the Ocular Surface Disease Index (OSDI) questionnaire. Electronic consent was obtained to gather information about the occurrence of dryness while wearing masks.Among the 284 participants, females exhibited a higher OSDI score (12.5) compared to males. Notably, individuals with pre-existing dry eye conditions had a significantly higher OSDI score (23.96) when wearing face masks. Across different age groups, no significant variations were observed. In terms of the duration of face mask use, those who wore masks for less than 4 hours and more than 6 hours had an OSDI score of 12.5, whereas individuals wearing masks for 4 to 6 hours had a score of 8.3.Wearing face masks may pose a risk for dryness, particularly among females, and can exacerbate dryness symptoms in individuals with pre-existing dry eye conditions.