bluuebunny/crossref_metadata_2025 huggingface dataset:
The ACE-inhibitory activity of alcalase, papain and pepsin lupin protein hydrolysates
Authors: Garmidolova Aleksandra Stefanova , Desseva Ivelina
Published: October 2023

Recently, Lupinus angustifolius proteins revealed their high potential to liberate bioactive peptides after hydrolysis. In our study, we examined the release of angiotensin I-converting enzyme inhibitory peptides from extracted lupin proteins after digestion by alcalase, papain, and pepsin. Three enzyme-to-substrate ratios were evaluated with three hydrolysis duration times. First, the degree of hydrolysis was determined using the ortho-phthalaldehyde aldehyde (OPA) method and then, the HPLC-DAD method was applied to measure the ACE-inhibitory activity. According to our results, all hydrolysates possessed ACE inhibitory properties. The calculated IC50 concentrations varied from 0.26 ± 0.59 to 2.19 ± 0.23 μg.ml-1. The peptides with the lowest IC50 values were produced by pepsin (ΔIC50 = 0.33 ± 0.40 μg.ml-1), followed by papain (ΔIC50 = 0.67 ± 0.61 μg.ml-1), and alcalase (ΔIC50 = 1.78 ± 0.92 μg.ml-1). Further research on bioavailability is required to demonstrate the beneficial effects of bioactive peptides on human health, since they have to resist digestive processing pass the intestinal barrier, and reach the bloodstream and intended organs.
Formulation and evaluation of novel nutraceuticals rich in protein, vitamins, minerals, natural flavors, and steviol glycosides for improving quality of life
Authors: Almoselhy Rania I.M.
Published: October 2023

For a wide range of people, including malnourished adults (12+) with non-communicable diseases (NCDs), micronutrient deficiency, underweight and overweight, pregnant and lactating women, the current study aimed to present novel nutraceuticals structured according to the Standards of Protein-Rich Concentrated Nutrient Supplementary Foods with Daily Value (DV) on the New Nutrition and Supplement Facts Labels of Food and Drug Administration (FDA), for improving quality of life (QoL). Whey protein concentrate, skim milk powder, vitamins (folic acid, B12, C), minerals (iron, zinc), natural flavors (vanilla, cinnamon, coffee, chocolate), and stevia leaves extract were mixed to provide per serving; 10 g protein (20% DV), 25% DV of elemental iron and zinc, vitamin C, folic acid, vitamin B12, with elemental calcium (25% DV) emerged from milk derivatives. The novel nutraceuticals were subjected to the physicochemical, microbiological, and sensory evaluation. Results showed significant differences (P<0.05) among formulations with natural flavors added in different amounts. The serving sizes of the four formulations were different according to the difference in the amount of natural flavor while keeping the same amounts of the other ingredients. Following the chocolate-flavored formulation as the first in order of overall acceptability, were coffee, cinnamon, and vanilla-flavored formulation, according to the sensory evaluation.
Optimal sample size analysis for LDA topic modeling using news articles about high school credit system
Authors:   Korean Society for Educational Evaluation, Jeon Eunjeong , Choi Youn-Jeng
Published: October 2023

This study aimed to determine the number of documents suitable for LDA topic modeling analysis. Sample data was created from 7,115 news articles covering the high school credit system until 2022, following the announcement of the introduction of the high school credit system. Four different methods were employed for analysis. First, a total of 120 pieces of sample data, comprising 6 types with 20 pieces, were created, and the analyzed topics and concordance were examined for all documents. Second, through the AUC of the ROC curve, the discriminative power of all documents and the analysis of the same topic variables based on the number of documents were investigated. Third, the total document topics and the frequency of the same topic were analyzed in relation to the number of documents. Fourth, after analyzing the topics within the entire document, sample data reflecting the document ratio and weight by topic were created and compared based on the number of documents. The findings of this study indicate that a minimum of approximately 700 documents is required for robust LDA topic modeling analysis. Moreever, the analysis suggests that collecting over 2,000 documents provides sufficient data for reliable results.
The Developement and the Validation of Korean Language Subject Competency
Authors:   Korean Society for Educational Evaluation, Jung Hyejin
Published: October 2023

This study analyzed and developed a tool to measure the concepts and sub-factors of Korean language subject competency, as presented in the revised 2015 curriculum. To do so, previous studies were reviewed comprehensively, and preliminary items were developed based on the achievement standards presented in the curriculum and validated for content validity. Using the revised preliminary items (a total of 117 items), a pilot test was conducted with 162 middle school students in Seoul, and construct validity was verified through exploratory factor analysis. Based on the results, a total of 82 items were selected for the actual test, which was conducted with 507 middle school students. Confirmatory factor analysis using structural equation modeling was conducted, resulting in the completion of the final measurement tool (a total of 71 items). The completed measurement tool consists of critical and creative thinking competencies (analysis, inference, creativity), data and information utilization competencies (task comprehension, data analysis and utilization, task solving and evaluation), communication competencies (understanding, expression, delivery, media communication capability), social and interpersonal relationship competencies (cooperation, respect, community understanding), cultural enjoyment competencies (cultural understanding, cultural acceptance, cultural creation), and self-reflection and development competencies (self-inspection, self-reflection, self-leadership). The tool demonstrated good validity and reliability.
Analysis of Research Trends in The Journal of Educational Evaluation using Topic Modeling
Authors:   Korean Society for Educational Evaluation, Yu Ye-Lim , Kim Ji-Eun
Published: October 2023

This study aims to explore research trends in educational measurement and evaluation by applying text-mining and analyzing the abstract of 969 articles published in the Journal of Educational Evaluation from 1993 to 2022, published by the Korean Society for Educational Evaluation. The main findings from keyword frequency analysis and topic modeling analysis based on LDA algorithm are as follows. First, keywords such as ‘student,’ ‘question,’ ‘test,’ ‘model,’ ‘evaluation,’ ‘estimation,’ ‘academic achievement,’ and ‘ability’ were generally mentioned as necessary in abstracts from the journal, and the main keywords changed over time. Second, a total of 12 topics appeared, including ‘the Item Response Theory model’, ‘development and validation of measurement tools’, ‘analysis of the factors influencing academic achievement’, ‘program evaluation and performance assessment’ and so on. Third, the ratio of the 12 topics that represent research trends changed with time. Especially, the topics of ‘analysis of factors influencing academic achievement’, ‘the Item Response Theory model’, and ‘teacher evaluation and student assessment’ had an increasing trend. In contrast, the topics of ‘computer-based evaluation’, ‘college entrance exam’, and ‘program evaluation and performance assessment’ had a decreasing trend. Lastly, the traits of research trends in the South Korean educational measurement and evaluation shown in the Journal of Education Evaluation were analyzed and future development and improvement tasks were discussed.
Real time handwriting recognition system using CNN algorithms
Authors: Maryam Yaseen Abdullah
Published: October 2023

Abstract— The growing use of digital technologies across various sectors and daily activities has made handwriting recognition a popular research topic. Despite the continued relevance of handwriting, people still require the conversion of handwritten copies into digital versions that can be stored and shared digitally. Handwriting recognition involves the computer's strength to identify and understand legible handwriting input data from various sources, including document, photo-graphs and others. Handwriting recognition pose a complexity challenge due to the diversity in handwriting styles among different individuals especially in real time applications. In this paper, an automatic system was designed to handwriting recognition using the recent artificial intelligent algorithms, the conventional neural network (CNN).

Different CNN models were tested and modified to produce a system has two important features high performance accuracy and less testing time. These features are the most important factors for real time applications. The experimental results were conducted on a dataset includes over 400,000 handwritten names; the best performance accuracy results were 99.8% for SqueezeNet model.
Modifying the AES Algorithm by Improving the Add Round Key Stage
Authors: Hasan Kadhim A. Alsuwaiedi  , Abdul Monem S. Rahma
Published: October 2023

This study offers a new adjustment to the Advanced Encryption Standard (AES) in order to assure a high degree of security. This is achieved by replacing the binary (XOR) operation with a new (Xo) operation in each add-round-key stage. The Xo operation generated an extra six randomly selected control keys determined by six state tables (2, 4, 6, 8, 10, and 12) produced from the addition operation in the Galois Field GF (2^2 ,2^4 ,2^6 , 2^8, 2^10 and 2^12 ) in order to boost the algorithm's unpredictability. In the suggested method, an adversary requires at least  probabilities of keys to break the message; hence, it improves the difficulty of the original AES against brute force attacks. also enhances the performance of additional security metrics, such as NIST tests, compared to the original AES. Consequently, this replacement, including the use of six keys in both the encryption and decryption processes, offers a new level of security and a higher degree of resistance to data breaches. The novelty of the proposed (Xo) technique lies in the construction of GF tables ( 2^6 , 2^10 and 2^12) to be used in the encryption and decryption process for the first time, as well as the approach utilized to create the code for it.
The 2024 Taiwanese Presidential Election on Social Media: Identity, Policy, and Affective Virality
Authors: Chang Ho-Chun Herbert , Fang Yu Sunny
Published: October 2023

The 2024 Taiwanese Presidential Election is not just a critical geopolitical event, it also engages with themes of alternative candidacy, foreign policy, and affective polarization. At one point, a four-candidate race had emerged in a traditionally bipartisan election, with alternative candidates disrupting the dichotomy of Chinese versus Taiwanese identity. Leveraging911,510 posts and 101,600,047 engagements on social media, we analyze user discourse and engagement. First, we find traditional candidates derive more engagement on foreign policy and geopolitical issues, alternative candidates on domestic issues. Additionally, virality is generated by affective reasons, although in-group references generate more engagement than out-group references. Lastly, a puzzle is revealed where alternative candidates draw more homogeneous attention from national identity groups. Results suggest alternative candidacy can be generated by both positive and negativecomparisons rooted in national identity.
An object numbering task reveals an underestimation of complexity for typically structured scenes
Authors: Carter Alex , Kaiser Daniel
Published: October 2023

Our visual environments are composed of an abundance of individual objects. The efficiency with which we can parse such rich environments is remarkable. Previous work suggests that this efficiency is partly explained by grouping mechanisms, which allow the visual system to process the objects that surround us as meaningful groups rather than individual entities. Here, we show that the grouping of objects in typically and meaningfully structured environments directly relates to a reduction of perceived complexity. In an object numerosity discrimination task, we showed participants pairs of schematic scene miniatures, in which objects were structured in typical or atypical ways, and asked them to judge which scene consisted of more individual objects. Critically, participants underestimated the number of objects in typically structured, compared to atypically structured, scenes, suggesting that grouping based on typical object configurations reduces the perceived numerical complexity of a scene. In two control experiments, we show that this overestimation also occurs when the objects are presented on textured backgrounds and that it is specific to upright scenes, indicating that is not related to basic visual feature differences between typically and atypically structured scenes. Together, our results suggest that our visual surroundings appear less complex to the visual system than the number of objects in them makes us believe.
Are healthy diets also sustainable? Experimental study using a Fake Food Buffet
Authors: Masri Mirna Al , König Laura M
Published: October 2023

Interventions to promote healthy and sustainable diets are urgently needed to curb growing obesity rates and greenhouse gas emissions. To date, little is known about consumers’ awareness of the co-benefits of healthy and sustainable diets. Studies furthermore lack a global perspective. This study therefore aimed (1) to compare the composition of sustainable, healthy, and typical meals using an experimental Fake Food Buffet (FFB) study and (2) to compare sustainable diet knowledge and perceptions between individuals who grow up in Global North and Global South countries. The experiment used a 3 Meal Type x 2 Region mixed design. Participants (N = 74), of which half grew up in the Global North and South, respectively, were asked to self-serve three meals (typical, healthy, sustainable) from the FFB and to complete the Food Sustainability Knowledge Questionnaire (FSKQ). Sustainable meals contained more vegetables, grains, legumes, and plant-based protein (Fs[2, 144] ≥ 4.26, ps ≤ .016), and less red meat, animal-based protein, and sugar than healthy or typical meals (Fs[2, 144] ≥ 11.77 ps ≤ .001). FSKQ scores did not differ between regions (W[71.82] = 0.58, p = .564). However, participants from the Global North self-served more vegetables, grains, and plant-based protein from the FFB compared to participants from the Global South (Fs[2, 72] ≥ 4.89 ps ≤ .003). Many people are not fully aware of the substantial overlap of healthy and sustainable diets. Furthermore, culture influences food choices and thus needs to be considered when designing and implementing dietary interventions on a global scale.
“Influencing the Influencers:” A Field Experimental Approach to Promoting Effective Mental Health Communication on TikTok.
Authors: Motta Matt , Liu Yuning , yarnell Amanda
Published: October 2023

A substantial body of social scientific research considers the negative mental health consequences of social media use on TikTok. Fewer, however, have considered the potentially positive impact that mental health content creators (“influencers”) on TikTok can have to improve health outcomes; including the degree to which the platform exposes users to evidence-based mental health communication. We aim to remedy this shortcoming by influencing TikTok creator content-producing behavior via a large, within-subject field experiment (N = 105 creators with a reach of over 16 million TikTok followers; N = 3,465 unique videos). Our randomly-assigned field intervention exposed influencers on the platform to either (a) asynchronous digital (.pdf) toolkits, or (b) both toolkits and synchronous virtual training sessions that aimed to promote effective evidence-based mental health communication (relative to a control condition, exposed to neither intervention). We find that creators treated with our asynchronous toolkits – and, in some cases, those also attending synchronous training sessions – were significantly more likely to (i) feature evidence-based mental health content in their videos and (ii) generate video content related to mental health issues. Moderation analyses further reveal that these effects are not limited to only those creators with followings under 2 million users. Importantly, we also document large system-level effects of exposure to our interventions; such that TikTok videos featuring evidence-based content received over half a million additional views in the post-intervention period in the study’s treatment groups, while mental health content (in general) received over two million additional views. We conclude by discussing how simple and cost-effective interventions like ours can be deployed at scale to influence mental health content production on TikTok.
Cultivating Job Satisfaction: Influence of Transactional Leadership in Nepali Commercial Banks
Authors: Chalise Dhan Raj , Paudel Vishal
Published: October 2023

The transactional leadership style is a result-oriented approach to providing job satisfaction inside an organization while ensuring productivity. The present study aims to determine the dimensions of transactional leadership styles and the relationship between transactional leadership style and job satisfaction in the context of Nepali commercial banks. This research used a survey design to gather data from one hundred fifteen employees from Nepali commercial banks. The study utilized simple random sampling techniques, and data was collected using a questionnaire that required respondents to rate their level of job satisfaction with dimensions of transactional leadership styles using a five-point Likert scale. The study shows a significant relationship between dimensions of transactional leadership style and job satisfaction in Nepali commercial banks. This study concludes that transactional leadership is the most influencing leadership style for job satisfaction and suggests the exercise of transactional leadership style in Nepali commercial banks.
Analysis of data transmission network construction technologies with high requirements for information security, reliability, and latency
Authors:   State University of Telecommunications, Vlasenko V. O.
Published: October 2023

The scientific article is dedicated to the analysis of contemporary approaches and technologies in the construction of data transmission networks aimed at ensuring information security, reliability, and minimal latency. The necessity of comprehensively considering factors influencing network efficiency with a focus on reliability and security is substantiated. Network analysis enables the creation of an infrastructure that meets the demands of the modern information environment, comprehensively weighing the advantages and disadvantages of each network technology during construction. For the mathematical evaluation of data transmission network reliability, a Markov model is proposed, which is based on Markov processes theory. Developed using the Python programming language and relevant libraries, the model allows for a quantitative assessment of data transmission network reliability, considering various failure factors, state transitions, and recovery. The model facilitates forecasting network states and planning preventive organizational and technical measures to ensure reliability and security, in light of the constantly increasing demands for service quality and confidential information protection. An analysis of transmission delay methods has revealed a correlation between the transmission speed and volume of information with various factors, such as bandwidth, network load, connection type and speed, and data processing by network nodes. The research underscores the need to choose specific methods based on the network’s characteristics and its intended tasks. Based on the analysis results, to construct efficient networks that meet information security, reliability, and transmission delay requirements, there is a recognized need for comprehensive development of evaluation systems and the creation of a unified evaluation model.
EXPERIMENTAL TOXOCARIASIS IN RABBITS
Authors: Vasilevich F. I. , Bachinskaya V. M. , Gonchar D. V.
Published: October 2023

Toxocariasis as a zoonosis represents a medical and veterinary problem. In the structure of human larval helminthiases, toxocariasis accounts for more than 60%. In non-specific hosts, including humans, toxocara larvae undergo visceral larva migrans, primarily damaging the liver, lungs, and other organs and tissues. Constant reinvasion accumulates second and third-stage larvae in the bodies of nonspecific (paratenic) hosts. In our research, we considered the problem of soil parasitological contamination on rabbit farms and the risks of rabbit infection, emphasising the need to study the involvement of rabbits as paratenic hosts in toxocariasis. We selected rabbits of the Soviet chinchilla breed as experimental animals. Toxocara eggs were administered orally to the animals. Hematological studies were conducted using commonly accepted methods. To detect specific IgG class antibodies, rabbit serum was analysed by enzyme-linked immunosorbent assay (ELISA). The presence of IgG class antibodies in the blood serum of rabbits at a positive titer (1:100) in ELISA allows us to conclude that rabbits, along with other animals, serve as paratenic hosts for Toxocara canis. Haematological research results indicated the absence of significant differences and remained within the physiological norm throughout the entire experiment.
DEVELOPMENT OF SHEEP FARMING AS A PRIORITY BRANCH OF AGRICULTURE IN THE ZABAIKALSKY REGION
Authors: Tsyngueva V. V. , Samokhvalova A. A.
Published: October 2023

The pedigree base of sheep farming in the Zabaikalsky region is concentrated in 8 pedigree farms and nine reproducer farms, as well as in the Autonomous Region "Zabaikalsky Center for Pedigree Livestock Farming." Currently, there are seven pedigree farms and six reproducer farms in the region that are engaged in breeding Zabaikalsky fine-fleeced sheep, with a total population of 76.9 thousand sheep, accounting for 75.7% of the total pedigree sheep population. An analysis of the sheep population in the region over 15 years indicates a decline, which can be attributed to reduced demand for wool production and livestock losses due to fires that affected large areas. It should be noted that wool production has decreased due to cheaper raw materials such as cotton and synthetics. The region has adopted a Comprehensive Program for the Development of Sheep Farming until 2030, the result of which should be an increase in the sheep population from 405 to 655 thousand head, wool production from 964 to 2173 tons, the creation of at least 1,500 new jobs in sheep farming and the processing industry, and the development of high-quality clothing and other consumer products based on wool by the end of 2030. Scientific research justifies the priority development of sheep farming in the region as a traditional branch of agriculture and a tool for preserving the rural way of life. Since sheep farming products are primarily concentrated in private households, where difficulties in selling products are observed, developing a model for interaction between these entities and agricultural organisations, pedigree farms, and reproducer farms is advisable.
Azolla Fertilizer as an Alternative Organic Nitrogen Source for Malabar Spinach Production
Authors: Duy Hoang Vu , Hien Nguyen Thi Thu , Quang Tran Van
Published: October 2023

The spread of organic farming has led to the need for identifying alternative sources of high-quality organic fertilizer. Azolla is a genus of floating aquatic ferns which has high nitrogen and organic matter content due to its fast growth and symbiotic relationship with nitrogen-fixing bacteria (Anabaena-azollae). However, little research has been done on the use of Azolla as an organic fertilizer for vegetable production. The study evaluated the effects of different levels of Azolla fertilizer on the growth and yield of Malabar spinach (Basella alba). The experiment included 6 treatments: Without application – as a control (T1); 1 ton ha-1 soybean meal (T2); 16 tons ha-1 cow manure (T3); 12 tons ha-1 Azolla fertilizer (T4); 16 tons ha-1 Azolla fertilizer (T5); and 20 tons ha-1 Azolla fertilizer (T6). The results showed that the application of Azolla fertilizer significantly increased shoot length, number of leaves, leaf size, dry matter, leaf area index (LAI), and SPAD of Malabar spinach compared to the control or cow manure. The application of Azolla fertilizer at the rates of 12, 16, and 20 tons ha-1 significantly increased the yield of Malabar spinach by 150, 192, and 205%, respectively, compared to the control; and by 37, 60, and 67%, respectively, compared to the cow manure treatment. Yields and parameters of harvested vegetables were the highest in treatments with 16 to 20 tons ha-1 Azolla fertilizer. The results suggest that Azolla fertilizer can be used as an alternative organic nitrogen source in organic vegetable production.
Elasticities of Chinese Demand for Imports of Melons from Vietnam and Myanmar
Authors: Lwin Wuit Yi , Henneberry Shida R. , Brorsen B. Wade , Biermacher Jon T.
Published: October 2023

Vietnam and Myanmar are major exporters of melons (Citrullus lanatus) to China. Among all fresh fruits, melons account for Myanmar’s and Vietnam’s largest export volume and values. Over 90% of Myanmar’s melons are exported via border trade, primarily to China. Measuring the own- and cross-price elasticities of imported melons into China that come from Vietnam and Myanmar can help each exporter understand the market potential for their melons. The objective of the study was to estimate the own- and cross-price elasticities of imported melons into China differentiated by exporting country. The demand system of imported melons into China was estimated using a source-differentiated Linear Approximation of the Almost Ideal Demand System (LA-AIDS). The results suggest that imported melons are weakly separable from other imported fruits. While melons from Vietnam and Myanmar are substitutes for each other, the price of melons from the rest of the world (ROW) did not have a significant effect on China’s imports of melons from Vietnam or Myanmar. The estimated coefficients from the seasonal dummy variables included in the demand equations show little seasonality in the market shares of Vietnam, Myanmar, and the ROW for melon imports to China.
The Roles of Perennial Crop Systems to Rural Households: A Case Study in Dak Lak Province, Central Highlands, Vietnam
Authors: Thi Thuy Phan , Xuan Hoi Vo , The Thiet Le , Ngoc Thang Nguyen , Duc Niem Le , Lebailly Philippe
Published: October 2023

This study investigated the role of perennial crop systems in enhancing sustainable livelihoods among rural households in Dak Lak province, Vietnam, with a particular focus on coffee and pepper crops. To gather data for this study, structured interviews were conducted with 86 households (90 farms) through a multi-stage sampling approach from January to May 2019. Moreover, the effectiveness of two agroforestry systems, monoculture and multitrophic agroforestry, was compared. The findings highlighted numerous significant conclusions. First, perennial crop systems contributed significantly to the improvement of rural households' livelihoods through improved monetary income, job creation, the participation of women, and expanded work prospects. Second, intercropping systems were the most economically viable sources of income and less susceptible to market price risk. This conclusions emphasize the importance of farmers and local governments understanding the roles of perennial crops to livelihoods.
Evaluation of 940 nm Diode Laser in Esthetic Crown Lengthening
Authors: Ali Noor , Dhahir Mohammed , Aldelaimi Tahrir
Published: October 2023

Abstract Background: Crown lengthening is a surgical procedure that apically positions the gingival edge and/or removes supporting bone in order to increase the amount of supra gingival tooth structure for restorative or cosmetic purposes.
The objective of the study: The purpose of this study was to evaluate the efficacy of the 940nm diode laser in esthetic crown lengthening surgery through clinical observations, patient questionnaires, clinical photographs, and gingival healing following gingival operations. Material and methods: In this randomized clinical trial, 16 patients (11 females and 5 males) had their crowns surgically lengthened using a diode laser (940 nm) in continuous wave (CW) mode with 1 watt energy settings. A visual analogue scale is used on the first, third, seventh, and twenty-first days following surgery to record pain, swelling, bleeding, functional interference, tooth sensitivity, and success from an aesthetic standpoint, as well as overall patient satisfaction based on patient opinion and clinical photographs. Results: In the present study, we noticed that the scale of pain, bleeding, oedema, function interferance, and tooth sensitization significantly decreased gradually during the first two visits. The measured parameters completely disappeared after one week in most cases, as well as increase patient satisfaction and aesthetic achievement. The patients were recalled three weeks later, the wounds had totally healed, and the patient were not complaining of any pain. Conclusion: Crown lengthening requires optimal gingival margin design. This involves precise shaping of delicate tissues, which is difficult with the scalpel. While Lasers give improved gingival sculpting control and can be used for aesthetic crown lengthening. The laser surgery has many advantages, including excellent hemostasis with little or no bleeding, being less invasive and sterile wound cut, causing less pain and suffering during and after surgery, and enhancing patient satisfaction since the operation is short and, in most circumstances, relatively painless. Also, in laser surgery, there is less functional interruption and enhanced patient satisfaction since a periodontal pack is not needed to cover the surgery site. The healing is faster and more aesthetic when using laser surgery procedure.
Case report: severe course of encephalitis of unknown origin
Authors: Okrzeja Jakub , Czupryna Piotr , Kubas Bożena , Adamczuk Justyna , Zajkowska Joanna , Garkowski Adam , Moniuszko-Malinowska Anna
Published: October 2023

Abstract. The exact cause of encephalitis is still unclear in many cases, although the common etiological factors of this process are viruses such as herpes simplex virus and rabies virus, and also bacteria, fungi, parasites, several medicines and autoimmune diseases. Herein, we report a case of a 56-year-old man with a history of amnestic syndrome, impaired consciousness, somnolence throughout the day, headache, dizziness and hypertension, who was admitted to hospital with suspected neurological disease, and imaging features that were consistent with encephalitis of unknown etiology. Methods which were used to examine patient: cerebrospinal fluid testing, PCR examinations for viruses, testing of antibodies against surface antigens, magnetic resonance imaging of the head, psychiatric consultation, oncology consultation. The objective of this study is to demonstrate a case about an uncommon neurologic condition, which every clinician might meet in clinical practice. In this type of cases, the use of steroids such as dexamethasone and methylprednisolone might lead to a full recovery.

Streszczenie. Dokładna przyczyna zapalenia mózgu w wielu przypadkach jest nadal niejasna, aczkolwiek popularnymi czynnikami etiologicznymi tego procesu są wirusy, takie jak wirus opryszczki pospolitej i wirus wścieklizny, a także bakterie, grzyby, pasożyty, niektóre leki i choroby autoimmunologiczne. W pracy przedstawiono przypadek 56-letniego mężczyzny z wywiadem zespołu amnestycznego, zaburzeń świadomości, senności w ciągu dnia, bólów głowy, zawrotów głowy i nadciśnienia tętniczego, który został przyjęty do szpitala z podejrzeniem choroby neurologicznej oraz wynikami badań obrazowych, które odpowiadały charakterystyce zapalenia mózgu o nieznanej etiologii. Metody, które zastosowano do badania pacjenta: badanie płynu mózgowo-rdzeniowego, badanie PCR w kierunku wirusów, badanie przeciwciał przeciwko antygenom powierzchniowym, rezonans magnetyczny głowy, konsultacja psychiatryczna, konsultacja onkologiczna. Celem pracy jest przedstawienie przypadku rzadkiego schorzenia neurologicznego, z którym każdy klinicysta może spotkać się w praktyce klinicznej. W tego typu przypadkach stosowanie steroidów, takich jak deksametazon i metyloprednizolon, może doprowadzić do pełnego wyzdrowienia.
Determining the pathogenicity and virulence of parasites on animal models
Authors: Szpakowska Anna , Stachowska Agata , Burzyńska Agata , Kędys Dominika , Makowska Laura , Hadaś Edward
Published: October 2023

The aim of this review is to present various animal organisms used to determine the pathogenicity and virulence of old and new human and animal pathogens based on animal studies, cell cultures, macrophages and other models. The animal models presented in this study, in addition to the most popular organisms such as the laboratory mouse, rat, guinea pig and monkey, are also less popular models, such as zebrafish (Danio rerio) or chicken embryos in eggs. These animals are used to study the pathogenicity of parasites such as Acanthamoeba, Naegleria fowlerii, Toxoplasma gondii, Entamoeba histolytica and Besnoitia caprae and other species. In addition to animal models, we also present models using cell cultures, macrophages and computer methods. We also answer questions about what experimental methods allow to differentiate species and populations in terms of pathogenicity and virulence.

Celem niniejszego opracowania przeglądowego jest przedstawienie różnych organizmów zwierzęcych służących do oznaczania patogeniczności
i wirulencji starych i nowych patogenów człowieka i zwierząt w oparciu
o badania na zwierzętach, hodowlach komórkowych, makrofagach i innych modelach. Modelami zwierzęcymi przedstawionymi w niniejszym opracowaniu, oprócz najpopularniejszych organizmów takich jak mysz laboratoryjna, szczur, świnka morska oraz małpa, są również modele mniej popularne np. ryba danio pręgowany (Danio rerio), czy zarodki kurze w jajach. Te zwierzęta wykorzystywane są w celu zbadania patogeniczności pasożytów takich jak Acanthamoeba, Naegleria fowlerii, Toxoplasma gondii, Entamoeba histolytica oraz Besnoitia caprae i innych gatunków. Oprócz modeli zwierzęcych, przedstawiamy także modele z wykorzystaniem hodowli komórkowych, makrofagów oraz metody komputerowe. Odpowiadamy również na pytania jakie metody eksperymentalne pozwalają różnicować gatunki i populacje pod względem patogeniczności i wirulencji.
Analysis of the k-Means Method in Clustering Acceptance of PKH Aid in Pulau Rakyat Tua Village
Authors: Utami Dwi Kurnia , Irawati Novica , Sumantri Sumantri
Published: October 2023

The Family Hope Program (PKH) is a program that provides cash assistance to Very Poor Households (RSTM) which are required to fulfill requirements related to efforts to improve the quality of human resources. In selecting residents to be recipients of the Family Hope Program (PKH) in Pulau Rakyat Tua Village, the problem that often arises is that the provision of Family Hope Program assistance is often considered not to be on target. In addition, errors often occur because the selection is still done manually and requires a long time in selecting participants, which can be influenced by the objective assessment of PKH companions. The research objective is to apply the k-means clustering algorithm in selecting prospective beneficiaries of the Family Hope Program (PKH). The method used uses the application of data mining with the k-means clustering algorithm. Based on the results of applying the k-means clustering algorithm, the results of the system being built can make it easier to select potential recipients of Family Program assistance. The results of the k-means clustering algorithm test produced Cluster 1 in the Eligible category totaling 29 PKH beneficiary data and Cluster 2 in the Ineligible category totaling 1 PKH beneficiary data.
A Method for Procedural Generation of a Landscape with User-Defined Parameters
Authors:   Saint Petersburg State University of Architecture and Civil Engineering, Melnichenko D. S. , Bukunova O. V. ,   Saint Petersburg State University of Architecture and Civil Engineering
Published: October 2023

The article discusses the goals of introducing procedural generation into the gaming industry. The task is to generate a map of infinite dimensions with the possibility of generation as the player moves. A method for generating a landscape based on the mathematical method of bicubic interpolation is proposed. The user has the ability to control input parameters that affect the overall appearance of the result, but the map itself is based on independent values, which allows you to get interesting reliefs. This generation method is compared with the well-known Perlin noise method. The results of the study are presented and the future steps to improve this method of procedural generation are analyzed.
Development of a Control System for an Air Oil Cooler as a Part of a Gas Pumping Unit
Authors:   Saint Petersburg Electrotechnical University, Novozhilov I. M. , Abramkin S. E. ,   Saint Petersburg Electrotechnical University, Maltsev P. A. ,   Saint Petersburg Mining University, Plotnikov A. V. ,   Saint Petersburg Mining University
Published: October 2023

The purpose of the article is the development of an automatic control system for an air-based oil cooler as part of a gas-pumping unit. In the course of the work, the following tasks were solved: the object of study was analyzed; a literary review of existing studies on this topic was carried out; a mathematical model of the system was developed, supplemented with initial and boundary conditions; a study of heat and mass transfer processes occurring in the air coolers was carried out; the synthesis of a control system for the technological process of oil cooling was carried out. The simulation results are presented in the form of various graphs. At the end of the work, the results of modeling are presented, which showed the adequacy of the developed system.
Practical and Educational Role of Vector Diagrams of Power Transformers
Authors:   Saint Petersburg Electrotechnical University, Lavrov A. G. , Vasilev V. A. ,   Saint Petersburg Electrotechnical University
Published: October 2023

The analysis of scientific, technical and educational literature devoted to the methods of construction and use of vector diagrams of power transformers is carried out. Questions about their applicability in practical calculations remain open. The logic, unambiguity and correctness of the applied method of their construction is questionable. It is shown that vector diagrams of power transformers cannot be used in practical calculations, since they do not allow determining the values of the quantities characterizing the operation of the transformer, since it is impossible to depict all vectors on one diagram with the accuracy necessary for calculations. The applied order of diagram construction leads to an erroneous understanding of cause-and-effect relationships between physical processes in a transformer, contradicts accepted physical concepts and rules of electrical engineering. The requirements that vector diagrams must meet for their effective use for educational and methodological purposes are formulated. These requirements are achieved by applying the proposed new approach to the construction of vector diagrams.
Needs As The Dominant Factor of Generation Z in Telemental Health (TMH) Services Utilization
Authors: Alifa Ariska Widya , Suryawati Chriswardani , Wigati Putri Asmita
Published: October 2023

Nowadays, mental health is still an unfinished problem in Indonesia. Telemental health (TMH) exists as a form of adaptation toward technological developments that are expected to help address challenges in mental health services. There is a continuous increase in the number of Generation Z who suffer mental health problems. Meanwhile, the coverage of mental health services is still low even though the convenience of TMH has supported it. This study aims to analyse the factors that influence the utilisation of TMH among Generation Z based on Andersen's theory. This quantitative research collected 180 respondents and then analysed them using univariate, bivariate, and multivariate. Results showed a relationship between the needs factor, access to TMH, health worker support, and residence on the use of TMH. While the variables that aren't related are gender, education, occupation, marital status, and knowledge. The needs factor dominates the effect of using TMH among Generation Z in Indonesia, where a change in it can affect 15 times the utilisation of TMH. To develop TMH into sustainable services, providers can create the right strategy. It’s recommended to Generation Z to avoid self-diagnosis accompanied by enriching knowledge about maintaining mental health.
Expectativas de novos profissionais e do mercado: um estudo na área de administração
Authors: Monteiro Ricardo José Pereira , Salles Denise Medeiros Ribeiro
Published: October 2023

Inúmeras transformações no mundo do trabalho têm ocorrido, em função de fatores como globalização, novas tecnologias e a ascensão do trabalhador do conhecimento. esses fatores trouxeram consigo significativos avanços de ordem profissional, estimulando a produtividade, o conhecimento e a constante troca de experiências. as organizações vêm se tornando mais enxutas, visando maior agilidade e flexiblidade, e buscando no mercado profissionais generalistas, com visão ampla do contexto, e capazes de lidar com essa nova dinâmica. este estudo teórico teve como objetivo trazer à reflexão conteúdos inerentes às expectativas de futuros profissionais relativamente ao mercado de trabalho, bem como ao comportamento desse mercado, no tocante às expectativas com o pessoal.
RFM Analysis for Customer Lifetime Value with PARETO/NBD Model in Online Retail Dataset
Authors: Megantara Rama Aria , Alzami Farrikh , Akrom Ahmad , Pramunendar Ricardus Anggi , Prabowo Dwi Puji , Wibowo Sasono , Ritzkal Ritzkal
Published: October 2023

In recent years, there has been a growing interest in analyzing Customer Lifetime Value (CLV) due to its ability to provide valuable insights into customer profitability and worth. CLV analysis predicts the net profit attributed to the entire future relationship with a customer. This analysis involves calculating the present value of a customer's expected future spending with the company, facilitating an understanding of the economic value of long-term customer relationships. CLV analysis empowers businesses to identify their most profitable customers and develop strategies for retaining them, ultimately maximizing long-term profitability.

CLV analysis relies on various models and techniques, including the RFM analysis categorizes customers based on recency, frequency, and monetary value, helping to segment customers and predict future behavior. Then, The Pareto/NBD model combines probability distributions to estimate CLV and is commonly used for customer base analysis.

This research article explores the application of RFM analysis for estimating customer lifetime value using the Pareto/NBD model in an online retail dataset. This metric is crucial for businesses as it assists in identifying valuable customers and formulating retention strategies to maximize long-term profitability.
Conducta prosocial: el papel de la cultura, la familia, la escuela y la personalidad
Authors:   Universidad del País Vasco, Garaigordobil Maite
Published: October 2023

En este artículo-comentario primero se enfatizan los puntos fuertes del ARTÍCULO OBJETIVO (Mestre, 2014), identificando los resultados más relevantes y sus aportaciones más significativas. Posteriormente, teniendo en cuenta las conclusiones del estudio de Mestre (2014), se realiza una reflexión acerca de los factores que determinan la conducta social. Para ello se revisan numerosas investigaciones que evidencian que el desarrollo de la conducta prosocial es un asunto complejo que depende de multitud de factores interrelacionados: biología, cultura, familia, escuela, rasgos de personalidad, entre otros. El análisis de las distintas influencias permite afirmar que la conducta prosocial está mediada o determinada por numerosos factores situacionales y de personalidad, no obstante, las conclusiones de los estudios que evalúan los efectos de programas de entrenamiento de la prosocialidad confirman la eficacia de las intervenciones dirigidas a potenciar este tipo de conducta. Finalmente, tal como se enfatiza en el artículoobjetivo, el segundo contexto más potente de educación es la escuela, y un bajo nivel de victimización ha resultado ser predictor de conducta prosocial. Por esta razón se identifican algunos programas de intervención que fomentan el desarrollo socioemocional (conducta prosocial, empatía, etcétera) e inhiben la conducta violenta.
https://www.revistamexicanadeinvestigacionenpsicologia.com/index.php/RMIP/article/view/194
Authors:   Universidad de Valencia, Samper García Paula
Published: October 2023

El objetivo del estudio es analizar la relación entre diferentes comportamientos prosociales y diferentes variables emocionales. Han participado chicos y chicas adolescentes de 14 a 16 años de centros escolares, públicos y concertados, de la Comunidad Valenciana. Se han evaluado diferentes tipos de comportamientos prosociales (público, altruista, anónimo, de obediencia, de emergencia), emociones consideradas negativas (inestabilidad emocional, ira, agresividad, ansiedad, estrés como amenaza) y emociones positivas (empatía, estrés como desafío). Los resultados de los análisis indican diferencias en el papel que juegan las emociones y en su relación con los diferentes tipos de comportamientos prosociales de los/las adolescentes.