bluuebunny/crossref_metadata_2025 huggingface dataset:
Paleogene stratigraphy in a part of SW Bulgaria
Authors: Zagorchev Ivan , Popov Nikolay , Ruseva Milka
Published: April 2024

Paleogene sedimentary rocks in the Pijanec graben complex and Padeš Graben (Upper Eocene- Lower Oligocene) have been subdivided into four formations. Suhostrel Formation covers rocks with different composition and age. It begins with the sandstone-conglomeratic Elski Member followed by: coal-bearing Piljovo Member; the flyschoid, shaly-sandstone-conglomeratic alternation of Solaški Member, and the white sandstones of Debočina Member. This formation crops out only in the southernmost part of Padeš Graben, in a part of Vlahina Horst, and in Vetren Graben. The following Komatinica Formation is built up of polymictic variegated conglomerates and breccia-conglomerates. It occurs on a larger territory, and covers Suhoslrel Formation, or rocks of the basement. Logodaš Formation is built up of sandstones interbedded by shales, conglomerates and siltstones, with wedging out bodies of oligomictic breccias. These three formations were formed in mire-lake and river systems during the Late Eocene. At the end of the Late Eocene and during the Early Oligocene, the volcano-sedimentary Padeš Formation was formed in conditions of marine transgression. It was replaced laterally to NE and NW by a transgressive flyschoid alternation (siltstone-sandstone formation). The latter is covered unconformably to the east of Varbovnik Fault by the basal formation of the coal-bearing Bobovdol Basin. The sequence of the latter is of Middle and Upper Oligocene to Lower Miocene age.
PENGARUH CLASH DETECTION PADA BIAYA PEMBANGUNAN APARTEMEN DI JAKARTA
Authors: Arissaputra Sofian , Yaya Yaya
Published: April 2024

Salah satu usaha untuk mengantisipasi adanya kekeliruan suatu perencanaan konstruksi dapat dideteksi dari awal melalui software BIM (Building Information Modeling) yang mampu mendeteksi konflik (clash detection) antar sistem struktur, arsitektur, maupun MEP. Sebelum adanya software BIM, konflik di antara bangunan ini yang merupakan salah satu penyebab biaya konstruksi menjadi berlebihan, sehingga penggunaan software BIM ini menjadi solusi untuk penghematan dalam masa konstruksi. Tujuan dari penelitian ini adalah menganalisis adanya temuan konflik pada perencanaan struktur lantai atas (dalam hal ini lantai 24, sebagai lantai tipikal, lantai atap, LMR, dan atap LMR) pada sebuah proyek apartemen di Jakarta. Alur identifikasi deteksi konflik adalah dengan melakukan pemodelan di software Revit dengan data gambar forcon, kemudian model tersebut dimasukkan ke dalam software Naviswork Manage. Pada software Naviswork Manage, dapat digunakan fitur Clash Detective untuk mengidentifikasi konflik yang terjadi antar struktur bangunan. Setelah diinput ternyata ditemukan total 121 titik clash Antara sistem struktur, arsitektur dan Plumbing yang terjadi di lantai 6 sampai lantai atap LMR. Di lantai 24, terjadi 95 titik konflik, diantaranya adalah 93 titik konflik antara sistem arsitektur dan 2 titik konflik antara sistem struktur dan plumbing. Adapun di lantai atap, LMR, dan atap LMR, terjadi konflik sebanyak 26 titik. Dari hasil penelitian akibat penerapan clash detection, biaya yang dapat dihemat adalah lebih dari 30 juta rupiah.
EPIDEMIOLOGICAL SITUATION OF SKIN CANCER AND MELANOMIA
IN THE REPUBLIC OF KAZAKHSTAN IN 2012-2022
Authors: Tuleuova D. , Serikbayev G. , Kurmanalyev А. , Pyssanova Z. , Yelekbayev А.
Published: April 2024

Relevance: Skin cancer, including melanoma, is a major health problem and one of the most common cancers in the world.
The study aimed to obtain a complete epidemiological picture of skin cancer and melanoma in the Republic of Kazakhstan for 11 years,
including analysis of data for 2022, considering various parameters such as age, sex, ethnicity, region, and tumor type.
Methods: The study used data from patients registered in the national cancer registry of the Republic of Kazakhstan from 2012 to 2022,
diagnosed with skin carcinoma and skin melanoma (ICD-10 code: C44-C43). The number of skin carcinomas and melanoma cases is presented as absolute and crude rates per 100,000 population. Absolute standardized morbidity and mortality rates were calculated using the world
standard (World).
Results: At the end of 2022, 19,714 and 2,689 patients were diagnosed with “Skin Cancer” or “Skin Melanoma” in the Republic of Kazakhstan, respectively. From 2012 to 2022, the incidence of skin cancer increased by 24% and melanoma by 15%. In 2022, the incidence of skin
cancer and melanoma was higher among women by 24% and 26%, respectively. Mortality from skin cancer is in 23rd place, from melanoma in
21st place. Mortality rates from skin cancer and melanoma were 0.5 and 0.7 per 100 thousand population, respectively. The peak incidence of skin cancer in 2022 was observed in the age group 65-74 years (36%), and mortality in the age groups 65-74 and 75-84 years (17% each). The
peak incidence of skin melanoma in 2022 was observed in the age groups 55-64 years and 65-74 years (24% and 25%), and mortality in the
groups 45-54 years and 35-44 years (14% and 10%).
Conclusion: There has been a steady increase in the incidence of skin cancer and melanoma, which indicates the seriousness of this problem in the country and underlines the need for further measures to prevent, diagnose and treat skin cancer and melanoma in the Republic of
Kazakhstan. It should be remembered that many cases of skin cancer can be prevented with simple precautions.
THE EFFECT OF PRIMARY LOCALIZATION OF COLORECTAL CANCER
ON KRAS STATUS AND ITS PROGNOSTIC VALUE
Authors: Kukanova A. , Bekisheva A. , Dhantemirova N. , Mauletbayev M. , Akhmedin D. , Makishev A.
Published: April 2024

Relevance: Colorectal cancer (CRC), arising from the right-sided or left-sided colon, is a separate clinical and pathological unit. The status
of KRAS and its predictive value in CRC remain controversial.
The study aimed to explore the effect of primary tumor localization on KRAS gene status in CRC.
Methods: The study included 60 patients with colon and rectal cancer. The KRAS mutation test was performed on paraffin-coated tumor samples
using PCR methods. Colon cancer was divided into right-sided colon cancer (RSCC) and left-sided colon cancer (LSCC).
Results: KRAS mutation was found much more often in rectal cancer (RC) and sigmoid colon (SC) (p=0.413) than in tumors in other parts
of the colon. A combined analysis of our data and previously published data showed that KRAS mutation was more common in PSTC, especially
in the area of the hepatic bend of the colon than in LSTC (p=0.120). The association of the KRAS mutation with the patient’s age (p<0.012) and
the duration of hospitalization (p<0.001) was established.
Conclusion: Our study revealed no significant difference in the KRAS status between colon cancer and rectal cancer. However, KRAS
mutation was much more common in RSCC compared to LSCC. Patients with RSCC with mutated KRAS also had a worse prognosis and
required longer hospitalization compared to wild-type KRAS. However, patients with LSCC did not demonstrate a similar effect.
DNA BREAKS AND REPAIR IN LYMPHOCYTES AS A DIAGNOSTIC MARKER
IN PATIENTS WITH GASTRIC CANCER
Authors: Tulyayeva A. , Iztleuov E. , Koishybaev A. , Aitmagambet P. , Imanbayev N. , Zhurabekova G. , Batyrova G. , Zholmukhamedova D. , Kereeva N. , Aitmagambetova M.
Published: April 2024

Relevance: Timely detection of foci of double-strand DNA breaks with subsequent initiation of the repair mechanism plays a crucial role
in the overall response to DNA damage. Untimely resolution of double-strand DNA breaks and disruptions in the repair pathway constitute
a fundamental mechanism in cancer development and progression. A search for biomarkers is needed to identify foci of double-strand DNA
breaks and achieve a better outcome of targeted therapy.
The study aimed to identify comparative differences in double-strand breaks and DNA repair activity in γ-H2AX and 53BP1 parameters in
conditionally healthy individuals and patients with gastric cancer.
Methods: Analysis of focal points of γ-H2AX, 53BP1 with lymphocyte parameters using the automated AKLIDES® system in gastric cancer
patients (n=30) and conditionally healthy individuals (n=30).
Results: Statistically significant differences were found between conditionally healthy individuals and patients with gastric cancer in
γ-H2AX parameters: ‘Total number of breaks’ (p=0.001), ‘Number of nuclei with break foci’ (p=0.015), ‘Average number of breaks per cell’
(p=0.016), ‘Mean value of all break foci per cell’ (p=0.001), and in 53BP1 parameters: ‘Number of nuclei with repair foci’ (p=0.001), ‘Mean
intensity of repair fluorescence in arbitrary units’ (p=0.001), ‘Mean number of repairs per cell’ (p=0.001), and ‘Damaged cells with low
fluorescence intensity’ (p=0.019).
Conclusion: Biomarkers of double-strand DNA breaks with repair activity (γ-H2AX, 53BP1) have clinical significance, contributing to the
development of targeted medicine in oncology.
TREATMENT OF INTRAPARENCHYMAL CHORDOID MENINGIOMA:
A CLINICAL CASE
Authors: Ryskeldiyev N. , Zhetpisbaev B. , Zhaxybayev D. , Berdibayeva D. , Dubchev D. , Pochivalov D. , Kurmanakhunov A.
Published: April 2024

Relevance: Meningioma has many forms, each with a specific histological structure and treatment tactics. Meningiomas are the most
common intracranial neoplasms, most of which have an extracerebral location, and their intraparenchymal location is rare.
The purpose was to describe a case of treatment of intraparenchymal chordoid meningioma.
Methods: The article describes a case of treatment of intraparenchymal chordoid meningioma, which is rare in localization, structure, and
possible combination with other systemic diseases.
Results: Patient B. was admitted to the clinic for surgical treatment for an intracranial neoplasm; the main complaints were the presence
of seizures and their transition to epileptic status. The tumor was removed completely, after which it was sent for further histological and
immunohistochemical examination. The examination of micro slides revealed the presence of chordoid meningioma in the patient. In the
postoperative period, as well as at control examination after 3 months, the patient showed a decrease in the number of seizures and no transition
to epileptic status. MRI control showed no relapse of tumor growth.
Conclusion: WHO classifies chordoid meningioma as a rare grade II meningioma. Chordoid meningioma often requires further radiation
therapy, especially with partial or subtotal removal, due to a slightly higher risk of relapse compared to grade I meningiomas. This disease can
occur independently or in association with Castleman syndrome and can be asymptomatic for a long time; this requires further follow-up of
the patient.
Геоморфологический фактор расселения и размещения населения на территории севера Чувашии
Authors: Харитонов Андрей Юрьевич , Никонорова Инна Витальевна , Александр Юрьевич Харитонов
Published: April 2024

Чебоксарский возвышенно-равнинный район со зрелым эрозионным ландшафтом занимает примерно 1/5 территории на севере Чувашской Республики и простирается вдоль всей правобережной части реки Волги в пределах республики. При изучении системы расселения населения особую важность представляет анализ орографических характеристик территории. Работа отражает взаимосвязь основных физико-географических факторов при подборе населением территорий в ходе основания населенных пунктов. Это особенно важно в условиях распространения эрозионного ландшафта, который можно причислить к «зрелым», что говорит о переходе оврагов в стадию сформировавшихся балок. Исторически данная территория заселялась достаточно плотно, что обусловлено столичным фактором и обильным количеством торговых путей проходивших через нее, с особой ролью водного волжского пути.  Актуальность данного исследования обусловлена малоизученностью физико-географического фактора в размещении и расселении населения на территории чувашской части рассматриваемого района. При составлении оценки анализировалась взаимосвязь исторических частей (центральных улиц) поселений с данными по экспозиции и крутизне склонов. В данной работе в качестве объекта исследования выступают населенные пункты, расположенные в вышеизложенном физико-географическом районе. Предметом исследования являются геоморфологические различия поселений, основанных в разные временные промежутки в зависимости от следующих факторов: положение крестьян, статус населенных пунктов при первом упоминании (околоток, выселок и др.), национальность. В рамках этого исследования в качестве основных геоморфологических факторов рассматриваются крутизна и экспозиция склонов.
Самое северное местонахождение редкой златоглазки Chrysopa viridana Schneider, 1845 (Neuroptera: Chrysopidae) в России
Authors: Макаркин Владимир Николаевич , Ручин Александр Борисович
Published: April 2024

Златоглазка Chrysopa viridana Schneider, 1845 впервые отмечена в Мордовии. Она была собрана в постпирогенном лишенном леса биотопе Мордовского заповедника. Это самое северное местонахождение вида в России.
Modeling the Prevalence of Anemia among the Children in Pakistan: Classical and Bayesian Estimation Approach
Authors: Tahira Bano Qasim  , Dua Israr  , Maria Ghaffar
Published: April 2024

Anemia remains a major public health concern in all nations, particularly affecting children worldwide. This disorder, which is defined as low hemoglobin or red blood cells in the blood, has multiple causes, the most common one being iron deficiency. The prevalence of anemia among children in Pakistan have been modeled by conducting a thorough statistical analysis emphasizing on inferential statistics and estimation techniques. The study explores the classical and non-classical essential categories of estimating methodologies. The work specifically looks into Bayesian estimation methods under squared error loss function (SELF) and weighted square error loss function (WSELF) for a new generalization of the Exponential Distribution introduced by Nadarajah Haghighi(2017) named as Nadarajah Haghighi Distribution (NHD). The Bayesian estimation of the parameters of NH distribution is run under uniform prior (Non-Informative) and exponential prior (Informative prior). The Lindley approximation method is utilized in this study to solve Bayesian integral. This methodology's practical application focuses on determining Pakistan's under-five-year-old population's anemia prevalence. Both maximum likelihood and Bayesian estimators by means of Monte Carlo simulations and practical application are used to thoroughly compared. Notably, it is empirically reveal that Bayesian estimation technique performs better than the classical estimation technique both in case of simulation and in modeling the prevalence of anemia among Pakistani children.
EMG EVALUATION OF THE OCCLUSION WITH TEETHAN DEVICE: EFFECT OF THE MUSCLES
Authors:   Department of Orthodontics, Faculty of Dental Medicine, Medical University – Sofia, Bulgaria., Bogdanov Vladimir , Petrunov Vladimir ,   Department of Orthodontics, Faculty of Dental Medicine, Medical University – Sofia, Bulgaria.
Published: April 2024

Objectives: The aim of the study is to assess the influence of the masticatory muscles on the indices of the occlusion, measured with electromyographic (EMG) device Teethan® (Teethan S.p.A., Milan, Italy). The device is designed to assess the effect of occlusion on muscle balance and thus indirectly guides the clinician to the necessary changes in occlusion. This paper aims to determine whether muscles influence the indices characterizing occlusion. Material and methods: Thirty-three persons aged 13-43 (mean 21.33) years, 15 men and 18 women who fulfilled the criteria, were included in the study. All subjects had a good state of dental and periodontal health and complete permanent dentition. EMG recordings of the masseter and temporalis muscles were performed during maximum voluntary teeth clenching on cotton rolls and in centric occlusion. All values were standardized as a percentage of the maximum clenching on cotton rolls. Results: Most of the results of the test on cotton rolls are below normal reference values provided by the manufacturer. Within the normal range are only the Global index and IMPACT. When compared to MVC in centric occlusion, some of the indices were higher than when biting on cotton rolls (POC MM, BAR, Global index), which pointed out the effect of the occlusal contact on these tests. Conclusions: The calibration of the Teethan® device gives reliable and reproducible results. Test during MVC in centric occlusion will provide information on which of the indices are influenced by occlusal factors. Recording a test MVC on cotton rolls gives valuable information for the muscle balance, excluding the influence of the occlusion.
PEMANFAATAN LAHAN DALAM PENGELOLAAN TANAMAN HIDROPONIK UNTUK MENINGKATKAN UMKM DI DESA CIDEHENG TENGAH
Authors: Hartoko Gatot , Ramadhanty Venty , Dewi Rahmawati , Suratmi Suratmi , Situmorang Lastiur , Jumaedi Jumaedi , Lubis Mutiara Aisyah
Published: April 2024

Hydroponics is also known as soilless culture or soilless plant cultivation. So, hydroponics can be interpreted as cultivating plants that utilize water and without using soil as a planting medium. The purpose of counseling activities to the community with the theme "Community Empowerment Through The Use of Appropriate Technology and Development of MSMEs in Hydroponic Plant Management in Curug Sweetness Village" is to provide knowledge about land use with hydroponic systems, to provide literacy about business opportunities that hydroponic plants can create. The methods carried out in this extension consist of three, namely the lecture method, the practice method, and the discussion method. From the counseling results, it can be concluded that the community already knows simple practices related to farming with hydroponic systems
TRAINING TATA KELOLA WAKAF BAGI PENGURUS MASJID DI WILAYAH DKI JAKARTA
Authors: Fauzi Ahmad , Susanti Santi , Zulaihati Sri , Widyastuti Umi , Takidah Erika , Nusa Perdana Petrolis
Published: April 2024

Currently, waqf management is focused on waqf management organizations and mosque-based organizations. The number of mosques in DKI Jakarta which reaches 3087 mosques shows that the potential for socialization and management of mosque-based waqf is very large. Therefore, it is considered important to conduct waqf governance training for mosque administrators in the DKI Jakarta area. With waqf governance training, it is hoped that mosque administrators can improve their competence in managing waqf. Good waqf management can encourage greater potential for waqf receipts. The number of mosques in Jakarta is large and tends to be close to the community, allowing the potential for waqf that can be managed by mosques to be even greater and can also be used directly by people in need around the mosque. Jakarta State University as part of community service activities seeks to contribute to the surrounding community through waqf governance training activities, in collaboration with the Association of Islamic Economists (IAEI) for the DKI Jakarta area
THE ROLE OF STATE-OWNED ENTERPRISES IN THE BANKING SECTOR IN NATIONAL ECONOMIC RECOVERY DURING THE COVID-19 PANDEMIC
Authors: Afriani Raden Irna , Kartika Rika
Published: April 2024

Covid-19 has harmed a variety of industries around the world, including Indonesia. Due to widespread social limitations, especially in the economic sector. Countless businesses and unemployed people have been affected by the virus's virulence. As a result, the Indonesian government does not stand silent when it comes to dealing with this issue. The PEN (National Economic Recovery) initiative is meant to help the country's economy get back on track. Because the data used comes from official sources, this research is descriptive quantitative, which means it presents the data in a methodical and comprehensive manner. This study was carried out in the banking sector, which is held by SOEs. A literature review was utilized to gather information and knowledge, which included theories, models, and concepts, in order to gain secondary data. According to the findings of this study, PEN at HIMBHARA bank has been funneled into the credit sector, both in the UMKM sector and throughout all business sectors, as well as housing loans
Investigation of Attitudes Towards Complementary Alternative Medicine in Young Adulthood
Authors: Yazar Merve , Bayır Berna
Published: April 2024

Objective: This study was conducted to determine the attitudes of individuals aged 18-24 towards complementary alternative medicine.
Material-Method: The sample of the cross-sectional study, which is one of the analytical research types, consisted of 178 individuals between the ages of 18-24, at least primary education level, having technological devices and able to use internet networks. Descriptive statistics, independent groups t test, ANOVA, Mann Whitney U, Kruskal Wallis, Tukey tests and regression analysis were used in the evaluation of the data. The significance level was taken as 0.05 in the interpretation of the results.
Results: In the study, it was found that those who had a large family type, who thought that complementary or alternative medicine practices were beneficial, who recommended these practices to their close environment or friends, and who found complementary medicine practices more beneficial than the treatments applied in health institutions positively affected the scale mean scores (p
Does a conscious connection to personal values have value? A mixed methods exploration of individuals’ lived experience
Authors: Le Fèvre Jackie , Addicott Colleen , Slaski Mark
Published: April 2024

Research describes advantages to employers when employees’ personal values align with core organisational values. Experiments also show values affirmation exercises delivering positive outcomes for individuals. How adults describe and understand their experience of conscious connection to personal values, and any benefits attributed to that connection, is less understood.Through articulating what it means to consciously connect to values, we seek to equip managers and practitioners to improve workplace conversations about values. By identifying personal benefits that can flow from values connection, we provide an evidence base for designing metrics to capture the impact of such conversations. This exploratory sequential mixed methods study comprised an online survey (N=108) and interviews (N=19). The study population was working age adults holding a profile of their highest priority personal values generated through use of the Minessence Group tool, ‘A Values Inventory’(AVI). We investigated whether the profile was useful, how users described feeling connected to their values, and the effects of that connection. Interviews explored themes from the survey further, detailing individual experiences of the impact of values connection. Of this population 90% reported using their profile more than once: describing a sense of connection composed of being better able to ‘know’ which values mattered most, ‘hold’ on to these crucial values and ‘live’ by them. Benefits attributed to conscious connection grouped under three themes: Sense Making, Way Findingand Self-assurance. Further research is needed to determine whether the elements of connection identified here, and the suggested benefits, are present in other populations.
The development of a model for the threat detection system with the use of machine learning and neural network methods
Authors: Ussatova Olga , Zhumabekova Aidana , Karyukin Vladislav , Matson Eric T , Ussatov Nikita
Published: April 2024

This study examines the development of a model for the threat detection system with the use of machine learning and neural network methods. The fast development of Internet technologies has led to the appearance of many digital systems and platforms. However, despite the impressive technological progress, another side also emerged in the spread of a massive number of different cyber threats. Although various ways have been created to detect and prevent them, the threats are also developing and becoming more complex each year. Therefore, new system defense and data protection methods using machine and deep learning approaches have been proposed recently. The methods based on these approaches have proved to be especially effective in the wave of new Artificial Intelligence applications. In this paper, a threat detection system has been designed to disclose different kinds of threats while maintaining the security, confidentiality, and availability of the computer system. The development of machine learning models for detecting DDoS and man-in-the-middle attacks, Structured Query Language (SQL) injections, phishing, and malware was examined. The data scaling, feature selection, feature extraction, and classification steps were also thoroughly described. Naïve Bayes, Logistic Regression, Decision Tree, Random Forest, XGBoost, CatBoost, and Deep Neural Network algorithms were utilized for training the cyber threat detection models. The experimental results evaluated all the models using accuracy, precision, recall, and F1-score metrics. The best models achieved scores in the range of 0.90 to 1.00.
Surface phenomena in graphite and obtaining graphene from it
Authors: Yurov V.M.  , Zhangozin K.N.  , Zhanabergenov T.K.  , Kargin D.B.  ,   L.N. Gumilyov Eurasian National University
Published: April 2024

The article offers an overview of our latest theoretical work on graphite and graphene. A model is proposed for determining the thickness of the surface layer of graphite, from which the strength of graphite and graphene can be calculated and the length of nanocracks in the surface layer of these materials can be determined.
Indicators of abnormal CT Scan findings in clinically mild traumatic brain injury patients
Authors: Nugraha Erwin W , Tumboimbela Melke J. , Ngantung Denny J. , Wariki Windy M. V. , Tumewah Rizal , Warouw Finny
Published: April 2024

Background & Objective: Various clinical guidelines have been developed to predict intracranial findings and minimize the unnecessary head CT scans in mild traumatic brain injury (MTBI) patients. However, the most appropriate guideline for routine practices might be highly dependent on the emergency department policies, qualifications of medical staff, and the level of infrastructure availability. This study aims to identify various indicators that can predict abnormal CT scan findings in clinically MTBI patients.
Methods: Our retrospective analytical study included patients diagnosed with MTBI admitted to the Emergency Department of Prof. Dr. R. D. Kandou General Hospital, Manado, Indonesia, from November 2022 to February 2023, age ≥18 years, and having undergone a brain CT scan. Multivariate analyses of several indicators were performed to identify the strongest indicators of abnormal CT scan findings.
Results: Among 112 subjects, abnormal CT scan findings were identified in 38 subjects (33.9%). The proportion of men is greater (63.4%), with a median age of 33 (18-88) years. The most common mechanism was traffic accidents (83.0%). Logistic regression analysis revealed that skull fracture (OR 8.144, 95% CI 3.110-21.326) and signs of skull base fracture (OR 7.059, 95% CI 2.217- 22.475) were the two strongest indicators in predicting abnormal CT scan findings.
Conclusions: Skull fracture and signs of skull base fracture were the two strongest indicators of abnormal CT scan findings in clinically MTBI patients. Therefore, skull X-rays in the setting of limited CT scans and thorough clinical examination are recommended.
Estratégias farmacêuticas para a prevenção de erros na dispensação de medicamentos a pacientes hospitalizados
Authors: Arruda Filho Adijail Pessoa de , Barros Amanda Correia da Silva , Silva Maria José Cristiane Lima e , Silva Maria Fernanda de Araújo , Melo Ana Vithória da Silva , Magalhães Eliane Leite de Sousa , Trindade Ellen Oliveira da , Araújo Alana Mara Calou de , Rolim Neto Pedro José , Silva Rosali Maria Ferreira da
Published: April 2024

A Farmácia Hospitalar é uma unidade essencial na prática da assistência ao paciente, garantindo uma aplicação racional de medicamentos. Na dispensação de medicamentos a pacientes hospitalizados, diversos erros podem ocorrer, estes podem variar de impactos mínimos a graves, podendo ser erros como de dose, de forma farmacêutica, de princípio ativo, de etiquetagem e de armazenamento. Estratégias são implementadas para prevenir os erros, como melhorias organizacionais e por automação, para otimizar os processos e garantir segurança ao paciente. Em virtude disso, o presente trabalho tem como objetivo avaliar as estratégias e intervenções farmacêuticas que têm se demonstrado eficazes na prevenção de erros de medicação na etapa da dispensação, para pacientes internados. Para o levantamento da literatura, realizou-se uma busca nas seguintes bases de dados nos portais: Scientific Electronic Library Online (SciELO), ScienceDirect, National Library of Medicine (PubMed) e a Biblioteca Virtual em Saúde (BVS). A pesquisa inicial resultou em 234 resultados. Destes, 11 foram selecionados para integrar a revisão de acordo com os critérios de exclusão. Os onze artigos mostraram estratégias reais e de diferentes realidades, incluindo novas tecnologias e estratégias organizacionais de intervenções farmacêuticas. Como conclusão, foi possível reconhecer o aperfeiçoamento do fluxo dos medicamentos dentro da unidade do hospital através da implementação de novas tecnologias e intervenções que o farmacêutico habilitado pode promover com o uso adequado e seguro de medicamentos, com foco no uso racional no combate aos erros de dispensação em pacientes internados, construindo dessa forma uma segurança efetiva entre a unidade provedora e o paciente hospitalizado.
Metodologias ativas para o desenvolvimento de habilidades do século XXI
Authors: Silva Priscila Mariano da , Souza Átila de , Rabelo Carlos Eduardo , Pinheiro Cliciana de Souza , Tavares Fablícia Érica Laborda , Fonseca Maria Gabriella Flores Severo , Araújo Suely da Silva Lima , Santos Vanda
Published: April 2024

Este estudo abordou o desafio de preparar estudantes com habilidades relevantes para o século XXI, focando no papel das metodologias ativas na educação. O objetivo geral foi investigar como essas metodologias contribuem para o desenvolvimento de competências essenciais, como pensamento crítico, criatividade, colaboração, comunicação, e alfabetizações informacional e digital. Adotou-se uma metodologia de revisão bibliográfica, analisando estudos de caso e literatura acadêmica sobre aprendizagem baseada em problemas (PBL), aprendizagem baseada em projetos (PjBL), e sala de aula invertida. Os resultados apontaram que as metodologias ativas promovem um aprendizado mais engajador e significativo, estimulando a participação ativa dos alunos na construção do conhecimento. Enfrentaram-se desafios como resistência à mudança e a necessidade de infraestrutura adequada, mas as soluções passaram por capacitação docente e adaptação dos espaços de aprendizagem. As considerações finais destacaram a importância das metodologias ativas na formação de indivíduos aptos a navegar pela complexidade dos desafios contemporâneos, sugerindo a continuidade da pesquisa na área.
Enhancing Network Security Through Router-Based Firewalls: An Investigation into Design, Effectiveness, and Human Factors
Authors: Liu Jingqing
Published: April 2024

A firewall serves as a crucial computer program designed to block malicious software, thereby safeguarding the user's system. It helps prevent the unauthorized dissemination of personal information and the incursion of harmful viruses. Taking inspiration from China's "Great Firewall"—a sophisticated system utilizing advanced software and hardware to automatically filter, censor, and monitor internet content—this research aims to devise a router-based firewall system capable of autonomously shielding users' computers from viruses and unauthorized websites. A comprehensive questionnaire was deployed to unearth the predominant sources of information leakage among computer users and ascertain the role of firewalls within computer systems. The analytical findings underscore that the majority of information leakage security risks stem from a significant lack of personal privacy awareness and a deficient understanding of firewall security systems. The proposed firewall system harnesses router-based control to address the limitations inherent in PC software-based firmware systems. This innovation enhances the control of viral threats and the prevention of user privacy leaks. Serving as a tangible barrier, the router-based firewall obstructs the route of viruses or malevolent programs before reaching the user's computer. This strategic design substantially reduces user intervention, ensuring the continuous operation of the firewall to steadfastly protect the user's computing environment.
The Application and Development of Image Recognition Technology in the Field of Computer Vision
Authors: Luo Zhengyu
Published: April 2024

Image recognition is an important field of computer vision research. With the emergence of convolutional neural networks, image recognition has rapidly developed in many fields and has entered people's daily lives. This article reviews image recognition applications and future prospects in three representative fields: healthcare, intelligent driving, and security monitoring. In medical image analysis, image recognition technology can improve medical image interpretation speed and accuracy by automatically learning image features, providing doctors with more comprehensive information and decision-making support. Regarding intelligent driving, image recognition can help vehicles perceive and understand the traffic environment in real time, improving driving safety and automation level. In terms of security monitoring, image recognition plays a vital role in facial recognition, object detection, and behavior analysis, providing intelligent monitoring and security guarantees. However, these areas still have challenges, such as large data volumes, labeling difficulties, and privacy issues. In the future, people can look forward to combining image recognition technology with other technologies to improve models' interpretability and decision-making ability and further promote the development of these fields.
Predicting New York Housing Prices: A Machine Learning Approach Incorporating School, Living facilities and Real Estate Market Factors
Authors: Liang Chen
Published: April 2024

This study aims to predict housing prices in New York by utilizing machine learning methods that incorporate factors such as schools, living facilities, and the real estate market. This paper collected extensive data, including metrics on school quality, assessments of living facility convenience, and real estate market data. Employing a regression-based machine learning algorithm, the study incorporated these factors into a predictive model. Through training and testing the model, this study discovered that school quantity and the convenience of living facilities significantly impact housing prices. The predictive model demonstrated good accuracy and predictive capability on the test set, validating the effectiveness of this approach. The findings of this study provide valuable insights for real estate market participants, policymakers, and investors to better understand and forecast housing price trends in New York.
Study on Sand Prevention Characteristics and Factors of Forest Farm Based on TOPSIS and Pearson Correlation Coefficient
Authors: Shi Xiaochen , Jiang Ruini , Pu Chunrong , Wang Yutong
Published: April 2024

China's Saihanba Forest Farm has recovered from the desert to become an ecological green farm with stable sand prevention functions. However, there is also a new problem on the road to green development, namely the restoration of ecology. Objective To evaluate the role of environmental protection areas in resisting sand storms, protecting the environment and maintaining ecological balance and stability. Taking Saihanba Forest Farm as an example, we studied and extended the protection model to the Asia-Pacific region and completed the following analysis based on the information provided by the given problem and the big data on the network. Firstly, a new comprehensive evaluation index system of saihanba ecological environment was proposed using entropy weight TOPSIS comprehensive evaluation method, which integrated the effects of ecosystem state, ecosystem balance, ecosystem protection and climate conditions. Annual composite indexes were defined in calculating the final results. Then, by analyzing the local air index in Beijing and the forest resources in the Saihanba area, we established the Pearson correlation coefficient model considering the five factors: forest coverage rate, forest coverage rate, sulfur dioxide (SO2), and nitrogen dioxide (NO2) and PM10.
Exploring the Application of Machine Learning in the Field of Fruit Image Recognition
Authors: Zhang Ling
Published: April 2024

Image recognition techniques play an important role in business and science fields. The application of these techniques, especially the YOLO algorithm's real-time processing capabilities and high accuracy make it particularly noteworthy in advancing fruit image recognition. This study focuses on the application of machine learning in the field of image recognition, and in particular explores the use of the YOLO (You Only Look Once) algorithm in fruit image recognition. The study experimentally explores the application of the YOLO algorithm to a complex fruit recognition task, with a focus on evaluating the algorithm's real-time processing power and accuracy. Using a wide range of fruit image datasets including COCO, OID and KITTI, the YOLO model was trained and tested with the aim of gaining insights into the algorithm's performance in different real-world scenarios and its limitations. This research points out the importance of continuous model improvement, especially in terms of image quality, model adaptation, and with other techniques such as NLP. Directions for future research include the development of more transparent and interpretable deep learning models.
Partner Sets for Generalizations of MultiNeutrosophic Sets
Authors:   Department of Mathematics, College of Education for Pure Science, University of Babylon, Hillah, Iraq, Tuqa Tuqa ,   Department of Mathematics, College of Education for Pure Science, University of Babylon, Hillah, Iraq,   Department of Mathematics, College of Education for Pure Science, University of Babylon, Hillah, Iraq, .. Luay A. A. Al , Al-Obaidi Ali H. M. Al
Published: April 2024

Fuzzy sets and their various generalizations, especially neutrosophic and multineutrosophic sets, have had an essential imprint in other scientific, engineering, and applied fields. This came from the characteristics of membership functions that determine the extent to which members belong to their sets, which is an important criterion. Hence, the idea of building the optimal membership function for fuzzy set using the arithmetic mean, we called this set by partner sets of a neutrosophic set of -type.
Some Properties of α^g-Closed Sets in Fuzzy Neutrosophic Topology
Authors:   Department of  Mathematics, College of  Education for Pure Sciences, Tikrit University, Tikrit, IRAQ, Fatimah Fatimah ,   Department of  Mathematics, College of  Education for Pure Sciences, Tikrit University, Tikrit, IRAQ,   Department of Mathematics, College of Education, Sana’a University, Sana’a, Yemen, Mohammed Fatimah M. , Al-mahbashi Ghada Al
Published: April 2024

The present paper offers a new notion of sets known as fuzzy neutrosophic ^g-closed sets in fuzzy neutrosophic topology. It is an extended form of work conducted by Fatimah et.al. [1-3]. It investigates several properties of fuzzy neutrisophic ^ g- closed sets and explores a number of examples as to shed the light on the new characteristics of ^g-closed sets as well as some associated relations between them with other sets.
Interval Valued Neutrosophic Subalgebra in INK-Algebra
Authors:   Department of Mathematics, H. H. The Rajah’s college, Affiliated by Bharathidasan University, Tiruchirappalli, Pudukkottai-622-001, Tamil Nadu, India., R. R. ,   Department of Mathematics, H. H. The Rajah’s college, Affiliated by Bharathidasan University, Tiruchirappalli, Pudukkottai-622-001, Tamil Nadu, India.,   Arignar Anna Government Arts College, Namakkal - 637 002, India; Department of Mathematics, Annamalai University, Annamalai Nagar - 608 002, India., Balasubramanian KR. , Vadivel A.
Published: April 2024

This work presents the concept of interval-valued neutrosophic INK-subalgebras, also known as IV N INKsubalg’s, which are the level and strong level neutrosophic INK-subalgebras. Next, we establish and validate a few theorems that establish the connection between these concepts and neutrosophic INK-subalgebras. We define the images and inverse images of IV N INK-subalgebras and study the transformations of the homomorphic images and inverse images of interval valud neutrosophic (briefly, IV N) INK-subalgebra into IV N INK-subalgebras.
Antifungal Activity-Guided Analysis of Actinostemma lobatum Extracts through Serial Sub-fractions
Authors: Choi Seonwoo , Lee Song Hee , Hwang Byeong Su , Oh Young Taek , Jeon Junhyun
Published: April 2024

Plants are treasure trove of novel compounds that have potential for antifungal chemicals and drugs. In our previous study, we had screened plant extracts obtained from more than eight hundred plant materials collected in Korea, and found that butanol fraction of the Actinostemma lobatum were most potent in suppressing growth of diverse fungal pathogens of plants. Here in this study, we describe further analysis of the butanol fraction, and summarize the results of subsequent antifungal activity test for the sub-fractions against a selected set of plant pathogenic fungi. This line of analyses allowed us to identify the sub-fractions that could account for a significant proportion of observed antifungal activity of initial butanol fraction from A. lobatum. Further analysis of these sub-fractions and determination of structure would provide the shortlist for novel compounds that can be a lead to new agrochemicals.
Microbiome Analysis Revealed Acholeplasma as a Possible Factor Influencing the Susceptibility to Bacterial Leaf Blight Disease of Two Domestic Rice Cultivars in Vietnam
Authors: Nguyen Thu Thi Hieu , Bez Cristina , Bertani Iris , Nguyen Minh Hong , Nguyen Thao Kim Nu , Venturi Vittorio , Dinh Hang Thuy
Published: April 2024

The microbiomes of two important rice cultivars in Vietnam which differ by their susceptibility to the bacterial leaf blight (BLB) disease were analyzed through 16S rRNA amplicon technology. A higher number of operational taxonomic units and alpha-diversity indices were shown in the BLB-resistant LA cultivar than in the BLB-susceptible TB cultivar. The BLB pathogen Xanthomonas was scantly found (0.003%) in the LA cultivar, whereas was in a significantly higher ratio in the TB cultivar (1.82%), reflecting the susceptibility to BLB of these cultivars. Of special interest was the genus Acholeplasma presented in the BLB-resistant LA cultivar at a high relative abundance (22.32%), however, was minor in the BLB-sensitive TB cultivar (0.09%), raising a question about its roles in controlling the Xanthomonas low in the LA cultivar. It is proposed that Acholeplasma once entered the host plant would hamper other phytopathogens, i.e. Xanthomonas, by yet unknown mechanisms, of which the triggering of the host plants to produce secondary metabolites against pathogens could be a testable hypothesis.
Chemical Composition and Biocontrol Activity of Different Essential Oils against Soil-Borne Fungal Pathogens
Authors: Akdeniz Yusuf , Kesimci Tuba Genç
Published: April 2024

In this study, the efficacy of the essential oil of Mentha longifolia, Achillea arabica and Artemisia absinthium plants were evaluated against important soil-borne fungal pathogens as Verticillium dahliae, Rhizoctonia solani, and Fusarium oxysporum. Essential oils were obtained from plants by hydrodistillation method and the chemical components of essential oils were determined by analyzing by gas chromatography-mass spectrometry. The main components found as piperitone oxide (13.61%), piperitenone oxide (15.55%), pulegone (12.47%), 1-menthone (5.75%), and camphor (5.75%) in M. longifolia, á-selinene 13.38%, camphor 13.34%, L-4-terpineneol 8.40%, (–)-á-Elemene 7.01%, 1,8-cineole 4.71%, and (–)-spathulenol 3.84% in A. arabica, and á-thujone (34.64%), 1,8-cineole (19.54%), pulegone (7.86%), camphene (5.31%), sabinene (4.86%), and germacrene-d (3.67%) in A. absinthium. The antifungal activities of the oils were investigated 0.05, 0.1, 0.25, 0.5, 1.00, and 2.00 μl/ml concentrations with the contact effect method. M. longifolia oil (1.00 and 2.00 μl/ml) has displayed remarkable antifungal effect and provided 100% inhibition on mycelial growth of V. dahliae, R. solani and F. oxysporum. The results obtained from this study may contribute to the development of new alternative and safe methods against soil-borne fungal pathogens.
Bacteriophage Cocktail Comprising Fifi044 and Fifi318 for Biocontrol of Erwinia amylovora
Authors: Kim Byeori , Lee Seung Yeup , Park Jungkum , Song Sujin , Kim Kwang-Pyo , Roh Eunjung
Published: April 2024

Erwinia amylovora is a plant pathogen that causes fire blight on apples and pears. Bacteriophages, which are viruses that selectively infect specific species of bacteria and are harmless to animal cells, have been considered as biological control agents for the prevention of bacterial pathogens. In this study, we aimed to use bacteriophages that infect E. amylovora as biocontrol agents against fire blight. We isolated bacteriophages Fifi044 and Fifi318 infecting E. amylovora, and characterized their morphology, plaque form, and genetic diversity to use as cocktails for disease control. The stabilities of the two phages were investigated at various temperatures and pH values and under sunlight, and long-term storage experiment was conducted for a year. To evaluate whether the two phages were suitable for use in cocktail form, growth curves of E. amylovora were prepared after treating the bacterial cells with single phages and a phage cocktail. In addition, a disease control test was conducted using immature apples and in vitro cultured apple plantlets to determine the biocontrol effects of the phage cocktail. The two phages were morphologically and genetically different, and highly stable up to 50°C and pH value from 4 to 10. The phages showed synergistic effect when used as a cocktail in the inhibition of host bacterial growth and the disease control. This study demonstrated that the potential of the phage cocktail as a biocontrol agent for commercial use.