bluuebunny/crossref_metadata_2025 huggingface dataset:
Peningkatan Keterampilan Menulis Teks Eksplanasi Dengan Menggunakan Model Mind Mapping Pada Pembelajaran Bahasa Indonesia Kelas V SDN 09 Simpang Utara Kabupaten Pasaman
Authors: Verly Welianto P  , Azkiya Hidayati
Published: March 2024

Penelitian ini dilatarbelakangi oleh kurangnya keterampilan menulis teks eksplanasisiswa kelas V di SD Negeri 09 Simpang Utara Kabupaten Pasaman. yang disebabkan kurangnyavariasi guru dalam menggunakan model belajar dalam proses pembelajaran. Tujuan penelitian iniuntuk peningkatan keterampilan menulis teks eksplanasi siswa menggunakan model MindMapping pada siswa kelas V di SD Negeri 09 Simpang Utara, Kabupaten Pasaman. MenurutAzkiya (2018: 96) teks eksplanasi merupakan teks yang berisi tentang proses terjadinya suatufenomena atau peristiwa baik fenomena alam maupun sosial serta budaya. Mind mapping adalahteknik pemanfaatan seluruh otak dengan menggunakan citra visual dan prasarana grafis lainnyauntuk membentuk kesan. Lidiasari C (2022: 27-28). Jenis penelitian ini adalah PenelitianTindakan Kelas (PTK) yang meliputi 4 tahap yaitu perencanaan, pelaksanaan, pengamatan, danrefleksi dengan jumlah siswa 29 orang. Terdapat siswa laki-laki 14 orang dan 15 orang siswaperempuan kelas V SDN 09 Simpang Utara Kabupaten Pasaman.. Subjek penelitian ini adalahkelas V di SD Negeri 09 Simpang Utara, Kabupaten Pasaman yang Berjumlah 29 orang. Instrumenpenelitian yang digunakan adalah lembar keterampilan menulis teks eksplanasi, lembar aktivitasguru, lembar aktivitas siswa. Persentase aktivitas guru saat pembelajaran pada siklus I mencapai69,04 % kemudian pada siklus II persentasenya mencapai 83,92 %. Pada lembar observasi siswasiklus I persentasenya mencapai 67,70 % kemudian pada siklus II persentasenya meningkatmenjadi 80,20 %. Ketuntasan hasil belajar keterampilan menulis teks eksplanasi siswa pada siklusI sebesar 70,83% % dengan rata-rata 67,70 dan meningkat pada Siklus II sebesar 83,33% denganVol. 6, No. 1, pp. 22-33, Maret 2023rata-rata 80,20 dengan rata-rata kenaikan sebesar 17,24. Dari hasil penelitian maka dapatdisimpulkan bahwa pembelajaran Bahasa Indonesia dalam keterampilan menulis teks eksplanasisiswa dengan menggunakan model pembelajaran Mind Mapping dapat meningkatkanketerampilan menulis teks eksplanasi siswa pada kelas V di SD Negeri 09 Simpang Utara Kabupaten Pasaman.
ВПЛИВ ЦИФРОВОЇ ТРАНСФОРМАЦІЇ НА МЕХАНІЗМИ ДЕРЖАВНОГО УПРАВЛІННЯ РЕГІОНАЛЬНИМ РОЗВИТКОМ
Authors: КОРНАГА Олександр
Published: March 2024

In the article, the impact of digital transformation on the mechanisms of state governance in regional development is explored. Conducting an analysis of current trends in the use of digital technologies in public administration, the authors examine the role of e-governance, big data, automation, and other digital tools in enhancing strategies and mechanisms to promote regional development. The article specifically emphasizes decentralization and the promotion of interaction among different levels of governance as key components for the successful implementation of digital strategies in the context of regional development. The conclusions of the article underscore the necessity of adapting state governance to the challenges of the digital era and the development of open and resilient mechanisms to support regional growth in the conditions of digital transformation. The article also focuses on cultural and educational transformations in the field of public administration, highlighting the significance of training and preparing personnel to work with modern digital tools. The cultural shift and improvement of digital literacy emerge as crucial elements for the successful implementation of digital technologies in state governance.
Therefore, the article systematically categorizes and analyzes the impact of digital transformation on the mechanisms of state governance in regional development, taking into account key technological and organizational transformations that define the contemporary landscape of regional governance in the era of digital development.
High Contrast PET Imaging of Subcortical and Allocortical Amyloid-β in Early Alzheimer’s Disease Using [11C]AZD2184
Authors: Mattsson Patrik , Cselényi Zsolt , Forsberg Morén Anton , Freund-Levi Yvonne , Wahlund Lars-Olof , Halldin Christer , Farde Lars
Published: March 2024

Background: Deposits of amyloid-β (Aβ) appear early in Alzheimer’s disease (AD). Objective: The aim of the present study was to compare the presence of cortical and subcortical Aβ in early AD using positron emission tomography (PET). Methods: Eight cognitively unimpaired (CU) subjects, 8 with mild cognitive impairment (MCI) and 8 with mild AD were examined with PET and [11C]AZD2184. A data driven cut-point for Aβ positivity was defined by Gaussian mixture model of isocortex binding potential (BPND) values. Results: Sixteen subjects (3 CU, 5 MCI and 8 AD) were Aβ-positive. BPND was lower in subcortical and allocortical regions compared to isocortex. Fifteen of the 16 Aβ-positive subjects displayed Aβ binding in striatum, 14 in thalamus and 10 in allocortical regions. Conclusions: Aβ deposits appear to be widespread in early AD. It cannot be excluded that deposits appear simultaneously throughout the whole brain which has implications for improved diagnostics and disease monitoring.
Traumatic Brain Injury and Post-Traumatic Stress Disorder and Their Influence on Development and Pattern of Alzheimer’s Disease Pathology in Later Life
Authors: Mueller Susanne G.
Published: March 2024

Background: Traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are potential risk factors for the development of dementia including Alzheimer’s disease (AD) in later life. The findings of studies investigating this question are inconsistent though. Objective: To investigate if these inconsistencies are caused by the existence of subgroups with different vulnerability for AD pathology and if these subgroups are characterized by atypical tau load/atrophy pattern. Methods: The MRI and PET data of 89 subjects with or without previous TBI and/or PTSD from the DoD ADNI database were used to calculate an age-corrected gray matter tau mismatch metric (ageN-T mismatch-score and matrix) for each subject. This metric provides a measure to what degree regional tau accumulation drives regional gray matter atrophy (matrix) and can be used to calculate a summary score (score) reflecting the severity of AD pathology in an individual. Results: The ageN-T mismatch summary score was positively correlated with whole brain beta-amyloid load and general cognitive function but not with PTSD or TBI severity. Hierarchical cluster analysis identified five different spatial patterns of tau-gray matter interactions. These clusters reflected the different stages of the typical AD tau progression pattern. None was exclusively associated with PTSD and/or TBI. Conclusions: These findings suggest that a) although subsets of patients with PTSD and/or TBI develop AD-pathology, a history of TBI or PTSD alone or both is not associated with a significantly higher risk to develop AD pathology in later life. b) remote TBI or PTSD do not modify the typical AD pathology distribution pattern.
Odio-BERT: Evaluating domain task impact in hate speech detection
Authors: Yigezu Mesay Gemeda , Kolesnikova Olga , Gelbukh Alexander , Sidorov Grigori
Published: March 2024

The rise of social media and micro-blogging platforms has led to concerns about hate speech, its potential to incite violence, psychological trauma, extremist beliefs, and self-harm. We have proposed a novel model, Odio-BERT for detecting hate speech using a pretrained BERT language model. This specialized model is specifically designed for detecting hate speech in the Spanish language, and when compared to existing models, it consistently outperforms them. The study provides valuable insights into addressing hate speech in the Spanish language and explores the impact of domain tasks.
Fast and automatic hesitant fuzzy clustering applied to image segmentation
Authors: Vela-Rincón Virna V. , Mújica-Vargas Dante , Luna-Álvarez Antonio , Arenas Muñiz Andrés Antonio , Cruz-Prospero Luis A.
Published: March 2024

Image segmentation is a very studied area, looking for the best clustering of pixels. However, it is sometimes a complicated task, especially when these pixels are at the edges of regions, where there is a gradient and it is difficult to decide to which region to assign it. Hesitating fuzzy sets (HFS) better describe these situations, allowing to have multiple possible values for each element, giving more flexibility. This type of sets has been mainly applied in decision-making problems, obtaining better results than other types of fuzzy sets. This research proposes a fast and automatic method based on fuzzy hesitant clustering (FAHFC), which does not require parameters since it is capable of determining the number of clusters, using the Calinski-Harabasz index, in which the segmentation is performed, solving the initialization problem in clustering; it also proposes an alternative to construct the HFS through the use of fuzzy relations. The experiments show superiority in terms of clustering quality and convergence over some selected state-of-the-art algorithms.
IMAI: A short text matching model integrating multi-angle information
Authors: Luo Binghui , Liu Xin , Qin Long , Jiao Xiaolong , Li Wengui
Published: March 2024

The short text matching models can be roughly divided into representation-based and interaction-based approaches. However, current representation-based text matching models often lack the ability to handle sentence pairs and typically only perform feature interactions at the network’s top layer, which can lead to a loss of semantic focus. The interactive text matching model has significant shortcomings in extracting differential information between sentences and may ignore global information. To address these issues, this article proposes a model structure that combines a dual-tower architecture with an interactive component, which compensates for their respective weaknesses in extracting sentence semantic information. Simultaneously, a method for integrating semantic information is proposed, enabling the model to capture both the interactive information between sentence pairs and the differential information between sentences, thereby addressing the issues with the aforementioned approaches. In the process of network training, a combination of cross-entropy and cosine similarity is used to calculate the model loss. The model is optimized to a stable state. Experiments on the commonly used datasets of QQP and MRPC validate the effectiveness of the proposed model, and its performance is stably improved.
RETRACTED: Earlier laryngeal cancer detection using hybrid M-RCNN technique
Authors: Sharmila Joseph J. , Vidyarthi Abhay
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Knowledge graph question answering based on relational attention enhancement and feature cross-coding
Authors: Ma Dongdong , He Xiaohai , Wang Meiling , Fang Qingmao , Zhu Han , Hu Ping
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Multi-attribute group decision-making for supplier selection based on Dombi aggregation operators under the system of spherical fuzzy Hamy mean
Authors: Hussain Abrar , Amjad Alina , Ullah Kifayat , Pamucar Dragan , Ali Zeeshan , Al-Quran Ashraf
Published: March 2024

Supplier selection is a very crucial process within a business or commercial enterprise because it depends upon different components like reliability, customer need, services, cost and reputation. A suitable supplier is familiar with developing a relationship between customer needs and business. To serve this purpose, the multiple attribute group decision-making (MAGDM) technique is a well-known and efficient aggregation model used to evaluate flexible optimal options by considering some appropriate criteria or attributes. Experts face some sophisticated challenges during the decision-making process due to uncertain and ambiguous information about human opinions. To address such conditions, we explore the notion of spherical fuzzy sets (SFS) and their reliable operations. Some flexible operational laws of Dombi t-norms are also developed in light of spherical fuzzy (SF) information. Combining the theory of Hamy mean (HM) models and Dombi aggregation tools, some robust strategies are also studied in this research work. The main objectives of this article are to propose some dominant strategies in the presence of SF information including spherical fuzzy Dombi Hamy mean (SFDHM), spherical fuzzy Dombi weighted Hamy mean (SFDWHM), spherical fuzzy Dombi Dual Hamy mean (SFDDHM) and spherical fuzzy Dombi weighted Dual Hamy mean (SFDWDHM) operators. The MAGDM techniques are utilized to evaluate the flexibility of our derived methodologies under considering SF information. An experimental case study is utilized to evaluate a notable supplier enterprise under consideration of our developed methodologies. Finally, a comprehensive overview of our research work is also presented.
Optimization algorithm for enterprise supply chain network based on blockchain distributed technology in the context of digital economy
Authors: Xin Ling
Published: March 2024

In the era of digital economy, the optimization of enterprise supply chain networks has become a key challenge, while the problems of traditional supply chains, including information asymmetry and lack of trust, seriously hinder the development of enterprise supply chain networks. This paper will use the blockchain distributed technology and the digital economy background to explore how to use the blockchain distributed technology to optimize the existing problems. Firstly, study the supply chain information sharing to develop resources to reduce costs, then use the application of block chain technology and smart contract to establish information sharing mechanism to help the supply chain information more transparent and improve trust; secondly, use the block chain technology decentralized storage model to realize the decentralized supply chain research, and finally use the consensus method to improve the privacy protection of information, to avoid information asymmetry among users. Through experiments, it could be found that the optimization method of enterprise supply chain network based on blockchain distributed technology had a traceability accuracy of over 92.35% for the extracted products, with an average traceability accuracy of 93.791% for 10 products. Research on the transparency of different supply chain information was above 89.73% . By utilizing blockchain distributed technology, information protection in enterprise supply chains could be effectively improved; trust mechanisms could be better established; risk control effectiveness could be improved; optimization of enterprise supply chain networks could be better assisted.
RETRACTED: Enhancing traffic flow prediction: Dual-branch graph convolutional network with rough data inference and adaptive spatial dependencies
Authors: Zhou Ning , Ren Zhihao
Published: March 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Research on the performance of harmony search with local search algorithms for solving flexible job-shop scheduling problem
Authors: Li Jia , Xue Shuaihao , Li Minghui , Shi Xiaoqiu
Published: March 2024

Combining the harmony search algorithm (HS) with the local search algorithm (LS) can prevent the HS from falling into a local optimum. However, how LS affects the performance of HS has not yet been studied systematically. Therefore, in this paper, it is first proposed to combine four frequently used LS with HS to obtain several search algorithms (HSLSs). Then, by taking the flexible job-shop scheduling problem (FJSP) as an example and considering decoding times, study how the parameters of HSLSs affect their performance, where the performance is evaluated by the difference rate based on the decoding times. The simulation results mainly show that (I) as the harmony memory size (HMS) gradually increases, the performance of HSLSs first increases rapidly and then tends to remain unchanged, and HMS is not the larger the better; (II) as harmony memory considering rate increases, the performance continues to improve, while the performance of pitch adjusting rate on HSLSs goes to the opposite; Finally, more benchmark instances are also used to verify the effectiveness of the proposed algorithms. The results of this paper have a certain guiding significance on how to choose LS and other parameters to improve HS for solving FJSP.
Empowering the SDM-RDFizer tool for scaling up to complex knowledge graph creation pipelines1
Authors: Iglesias Enrique , Vidal Maria-Esther , Collarana Diego , Chaves-Fraga David
Published: March 2024

The significant increase in data volume in recent years has prompted the adoption of knowledge graphs as valuable data structures for integrating diverse data and metadata. However, this surge in data availability has brought to light challenges related to standardization, interoperability, and data quality. Knowledge graph creation faces complexities from large data volumes, data heterogeneity, and high duplicate rates. This work addresses these challenges and proposes data management techniques to scale up the creation of knowledge graphs specified using the RDF Mapping Language (RML). These techniques are integrated into SDM-RDFizer, transforming it into a two-fold solution designed to address the complexities of generating knowledge graphs. Firstly, we introduce a reordering approach for RML triples maps, prioritizing the evaluation of the most selective maps first to reduce memory usage. Secondly, we employ an RDF compression strategy, along with optimized data structures and novel operators, to prevent the generation of duplicate RDF triples and optimize the execution of RML operators. We assess the performance of SDM-RDFizer through established benchmarks. The evaluation showcases the effectiveness of SDM-RDFizer compared to state-of-the-art RML engines, emphasizing the benefits of our techniques. Furthermore, the paper presents real-world projects where SDM-RDFizer has been utilized, providing insights into the advantages of declaratively defining knowledge graphs and efficiently executing these specifications using this engine.
Technical-tactical behavior analysis of general duty police officers during non-compliant suspect apprehensions: A novel approach to establish minimum force requirements
Authors: Poirier Martin P. , Blacklock Rachel , Cao Michael , Théoret Daniel , Frei Leslie , Gagnon Patrick
Published: March 2024

BACKGROUND: While effective apprehensions of non-compliant suspects are central to public safety, the minimal force needed to transition a suspect from standing to the ground, vital for apprehension success, has not been established. OBJECTIVE: To examine the technical-tactical behaviors of general duty police officers during simulated apprehensions and quantify the minimum force required to destabilize non-compliant suspects. METHODS: Task simulations conducted with 91 officers were analyzed to identify common grappling movements, strikes, control tactics, and changes in body posture. A separate assessment of 55 male officers aimed to determine the minimum force required for destabilization in five body regions (wrist, forearm, shoulder, mid-chest, and mid-back). Data are presented as mean±standard deviation. RESULTS: On average, apprehensions took 7.3±3.2 seconds. While all officers used grappling movements (100%) and the majority employed control tactics (75%), strikes were seldom used (4%). Apprehensions typically began with a two-handed pull (97%; Contact Phase), 55% then attempted an arm bar takedown, followed by a two-handed cross-body pull (68%; Transition/Control Phase), and a two-handed push to the ground (19%; Ground Phase). All officers began in the upright posture, with most shifting to squat (75%), kneel (58%), or bent (45%) postures to complete the apprehension. The minimum force required to disrupt balance differed across body regions (wrist: 54±12 kg; forearm: 49±12 kg; shoulder: 42±10 kg; mid-chest: 44±11 kg; mid-back: 30±7 kg, all P < 0.05), except between the shoulder and chest (P = 0.19). CONCLUSION: These findings provide insights that can enhance the design and accuracy of future apprehension evaluations and inform the optimization of law enforcement physical employment standards.
Analysis of traditional physical therapy programs after myocardial infarction using evidence-based medicine approaches
Authors: Khvesyk Larysa , Antonova-Rafi Yuliia
Published: March 2024

myocardial infarction is heart muscle necrosis associated with coronary blood supply disorders, which occurs in the vast majority of cases as a result of atherothrombosis. Mechanical revascularization of the myocardium is a more effective and safer way to improve the condition of patients with myocardial infarction compared to long-term drug therapy, but the risk of early complications of cardiac surgery remains high. Considering this, non-pharmacological methods of treatment of myocardial infarction play a valuable role. Numerous publications testify to the fact that in everyday medical practice insufficient attention is paid to the issues of recovery treatment of patients with myocardial infarction after discharge from the hospital. The methods of physical therapy, diet therapy, and psychological adaptation are underestimated. Despite this, a rational way to improve the quality of medical care for patients after a myocardial infarction, as well as to prevent or minimize the occurrence of complications as a result of an acute myocardial infarction, is to improve physical therapy by finding and analyzing the effectiveness of existing physical therapy programs after a myocardial infarction using evidence-based medicine approaches. In this study, groups of patients who suffered a myocardial infarction and underwent various physical therapy programs were studied. In order to evaluate the effectiveness of physical therapy programs for patients after a myocardial infarction, an empirical study was conducted, in which 10 patients who suffered a myocardial infarction and were in the recovery phase, and who were observed at the State Institution «Heart Institute of the Ministry of Health». The following methods of physical therapy were used: therapeutic exercises, dosed walking, respiratory gymnastics, therapeutic gymnastics, massage. In the course of solving the tasks of the work, the effectiveness of individual and complex approaches in building individual programs of physical therapy for patients who suffered a myocardial infarction was revealed and proven. Attention is focused on the fact that compared to the use of group programs, an individual approach in the physical therapy program allows avoiding possible adverse results for each patient who has suffered a myocardial infarction.
Scientific substantiation of conceptual directions of development of the system of donation and transplantation
Authors: Kovtun Gavrylo , Kaniura Oleksandr
Published: March 2024

the article is devoted to the substantiation of the conceptual directions for the development of the system of organ donation and transplantation in the regions of Ukraine. The main principles of development are revealed. The basis for the formation of a modern conceptual model of the regional system of organ donation and transplantation has been laid. Materials and methods. To achieve the goals, the work used general scientific methods of analysis, synthesis, generalization, interpretation of scientific data, as well as systemic and structural-functional approaches. Results. Presents the conceptual directions for the development of the regional system of organ donation and transplantation, in the form of a set of principles (from Latin principium - beginning, basis) underlying the development of the system under consideration. The implementation of conceptual directions in modeling a modern conceptual model of the regional system of organ donation and transplantation will provide a model for the formation of strategic management mechanisms, will be the key to the development of regional transplant practice, the provision of affordable highly qualified transplant care to the population, sustainable socio-economic development of the system in the long term. Conclusions. The developed conceptual directions for the development of the system of organ donation and transplantation in the regions of Ukraine are a priority basis for the formation of a modern conceptual model of the regional system of organ donation and transplantation. The system of organ donation and transplantation in the regions of Ukraine is at the beginning of its formation and needs optimization of many organizational processes, which should be carried out systematically, comprehensively and purposefully on the basis of scientifically based principles, legislatively for the benefit of the population of the region.
The current state of the problem of cervical screening
Authors: Shumilina Tetiana , Korchynska Oksana , Khashcha Ivan , Mitsoda Roman
Published: March 2024

the article summarizes the issue of prevention of cervical cancer - the most common disease associated with the human papillomavirus (HPV). The main goal of this study is to generalize the etiology of cervical cancer, to note unique opportunities for its prevention, as well as to develop screening tests for HPV as one of the most effective strategies. Explore how current HPV diagnostics detect E6/E7 DNA or mRNA in cervical/vaginal specimens using molecular technologies. To find out whether HPV screening tests are more sensitive than cytology or visual examination with acetic acid as the primary screening method, and even more clinically valuable for detecting subtle cytological changes as a hybrid test. Through a detailed study of literature sources, their systematization and approaches to solving the problem, it was found that technical and laboratory capabilities are very limited in underserved places, so women have to travel long distances and make some efforts to prevent and treat cervical cancer. The relevance of the study of this pathology lies in the fact that cervical cancer is a serious public health problem and is the fourth most common cancer in women worldwide, accounting for about 604,000 new cases every year. And the practical implementation of an HPV screening program can face many problems, and measures must be taken to overcome these problems without compromising the detection of the disease. These measures could include reducing the frequency of screening using the WHO global strategy to offer HPV screening tests at ages 35 and 45, implementing high-throughput testing technology, and improving access to vaginal HPV screening tests for women in remote areas. Improving informational education for those who do not want to undergo a gynecological examination. Another important strategy is to implement a see-and-treat approach using a healthcare delivery platform that requires limited laboratory technician skills. In addition, the development and large-scale implementation of more specific HPV testing technologies that are much cheaper and easier to use in a non-laboratory setting than currently available options should be a priority for underserved facilities. At the same time, there is a need to develop and initiate implementation of an affordable and readily available intermediate or secondary test with optimal specificity to triage or separate clinically insignificant HPV infections that do not require colposcopy. The results of this study may be of interest to primary care physicians, gynecologists, oncologists, and therapists.
Instrumental parameters of bone mineral density in postmenopausal women: combined use of ultrasound densitometry and the FRAX model
Authors: Myhal Viktoriia
Published: March 2024

Osteoporosis is a systemic widespread disease of the musculoskeletal system that leads to impaired bone microarchitecture with a risk of fractures. The menopause period is one of the leading factors that leads to dysfunction of the RANK/RANKL/OTG signaling pathway, activating systemic inflammation. The purpose of the study was to determine the mineral status of bone tissue in menopausal women with simultaneous assessment of the risk of low-trauma fractures using ultrasound densitometry and the FRAX computerized model. The study included 153 people aged 20 to 89 years (mean age 55.3±15.4 years). Depending on the presence of menopause and gender, the corresponding groups were formed: I - main (menopausal women), II - control (women of reproductive age), III - comparison (men). The results of the study revealed a decrease in bone mineral density in the main group (I), where the T-criterion was -1.45± -1.95, compared with the control group (II) and comparison group (III), where the index was -0.51±0.7 and 0.27±0.72, respectively. The 10-year risk of any osteoporotic fractures according to the FRAX model demonstrates significantly higher risks in group I ([7.4 [4.0-15.0] %) compared to groups II and III, where the risks were 2.7 [2.4 - 3.3] % and 3.2 [2.3 - 3.8] %, respectively, p< 0.0001. As a result of the combined use of ultrasound densitometry and the FRAX model, lower bone mineral density of the radial bones in the main group was found compared to the control and comparison groups. The above results indicate that hypoestrogenism caused by the onset of menopause is a key factor in the development of osteodysmetabolic syndrome.
Study of the effect of different drug treatment strategies in patients with hypertension
Authors: Rekovets Oksana , Sirenko Yuriy , Progonov Sergey
Published: March 2024

fixed combinations of antihypertensive medications can improve blood pressure (BP) control, reduce complications and increase life expectancy. The objective of our study was to analyze the efficiency of fixed, free and not traditional combinations of antihypertensive medications in the management of patients with arterial hypertension. 396 patients with hypertension with various degrees of its severity were examined. The inclusion criteria were the age of patients older than 18 years and the level of office BP greater than 140/90 mm Hg. Patients were in three observational groups: traditional free combinations, traditional fixed combinations, and not traditional free combinations. 91 patients received an unfixed combination of ramipril and hydrochlorothiazide. 132 patients received an unfixed combination of metoprolol-retard and hydrochlorothiazide. 50 patients were assigned to group with studying the effect of fixed traditional double and triple combinations of antihypertensive medications. The last 123 patients with hypertension comprised the group of studying the effect of dihydropyridine and non-dihydropyridine calcium blockers on the degree of BP reduction and the development of adverse events. The use of metoprolol-retard 100-300 mg per day in patients with mild to moderate hypertension provided a significant decrease in office BP: SBP/ DBP – 32/18 mm Hg, heart rate (HR) - 18 bpm, ABPM: 24SBP/DBP – 21/13 mm Hg and HR - 7 bpm. Achievement of the target BP 93.6% office BP and in 84,9% - ABPM. The use of ramipril 10 mg in combination with hydrochlorothiazide 25 mg in patients with mild and moderate arterial hypertension provided a reliable reduction of both office SBP/DBP - 36,6/17,2 mm Hg and ABPM 24SBP/DBP - 18,9/7,0 mm Hg. The prescribed monotherapy of lercanidipine 20 mg or a low-dose combination of lercanidipine 10 mg and diltiazem 120 mg were most effectively tolerated treatment. Combined treatment based on lercanidipine and diltiazem had similar efficiency as treatment based on monotherapy with lercanidipine, according to both office and ABPM measurements. Patients taking fixed triple combination of valsartan/hydrochlorothiazide/amlodipine had decrease 24SBP/DBP - 23.8/20.7 mmHg (p<0,05). This improvement of BP on this combination was also observed during the day and night period - 27.4/22.6 mmHg and 20.5/18.2 mm Hg, respectively (р<0.05). Achieved the target blood pressure during ABPM was 77.3% in the group of fixed double therapy valsartan/amlodipine and 95.2% in the triple combination valsartan/amlodipine/hydrochlorothiazide. The triple fixed combination of valsartan/ hydrochlorothiazide /amlodipine was the most effective in lowering blood pressure according to data of office measurement and 24 hours monitoring. It contributed to the achievement of target blood pressure levels at office measurement - 95.7% and at ABPM - 95.2%.
The pattern of back pain: from spondyloarthritis to lymphoma
Authors: Mulyk Kateryna , Dzhus Marta , Karasevska Тetyana , Liubarets Tetyana
Published: March 2024

inflammatory back pain, which rheumatologists often deal with in their practice, has certain characteristics. However, other non-rheumatological diseases can mimic inflammatory back pain. Non-compliance with the diagnostic criteria and the presence of additional symptoms, especially from the group of "red flags", such as weight loss, fever, night sweats, etc., require careful diagnosis. The purpose of the work is to analyze a clinical case of diffuse large B-cell lymphoma in a young patient with non-specific symptoms, differential diagnosis with seronegative spondyloarthritis associated with inflammatory bowel disease. The article uses the data of objective, instrumental and laboratory examination of the patient. The work presents a clinical case of back pain in a 27-year-old patient, in which a multidisciplinary approach and specific diagnostic procedures (lymph node biopsy, histological and immunohistochemical examination) made it possible to establish the final diagnosis - diffuse large B-cell lymphoma. Based on a clinical case, a review of the literature was performed with an emphasis on the differential diagnosis between rheumatic inflammatory back pain and other causes, including paraneoplastic pain and metastatic processes. The most common causes of chronic back pain in young men are spondyloarthritis, however, in the presence of weight loss, fever, night sweats and lymphadenopathy, back pain requires careful clinical, laboratory and instrumental examination of patients. Diffuse large B-cell lymphoma can be the cause of back pain, which requires the involvement of specialists of various profiles in order to verify the final diagnosis.
The value of diagnostic procedures for essential hypertension control after an early recovery period of hemorrhagic stroke (literature review)
Authors: Tkachyshyn Oleksandr , Bespalova Vladyslava
Published: March 2024

hemorrhagic stroke is the most severe type of stroke, which is more likely to lead to death and severe disability. Although there are many causes and risk factors for hemorrhagic stroke – both congenital and acquired, and mostly their combination – essential hypertension is the most common and leading cause of intracranial hemorrhage. This study aimed to make a comprehensive overview on the value of diagnostic procedures for essential hypertension control after an early recovery period of hemorrhagic stroke. The analyzed data were observed on PubMed and Ukrainian scientific sources concerning essential hypertension course in post-hemorrhagic stroke patients in relation to further prophylaxis in stable phase. All the observed manuscripts were published within the period 2014-2024. The focus of attention was made predominantly on the essential hypertension as the key factor for hemorrhagic stroke development. From the literature review, it could be concluded that the problem of essential hypertension control after hemorrhagic stroke is relevant today and needs a thorough solution to prevent the re-occurrence of cerebrovascular events. For a rational approach to the management of hypertensive patients with hemorrhagic stroke medical history, it would be necessary to perform a set of diagnostic procedures, which would include ultrasound examination of the major cervical arteries, echocardiography, 24-hour ambulatory blood pressure and electrocardiogram monitoring, determination of plasma cholesterol panel indices and blood coagulation tests.
Influence of the angle of dental implant placement on the stress-strain state of the jaw
Authors: Musiienko Olha , Parii Vitalii , Morhun Oleksii , Koval Viktor
Published: March 2024

prosthetics on dental implants is a complex and responsible stage of treatment of patients with dental defects. The success of dental implantation depends not only on careful planning and performed surgical intervention in compliance with the requirements of the protocol, but also on the type of load on the dental implant, the choice of orthopedic design and material. Thorough preparation for prosthetics, taking into account the initial clinical situation and individual characteristics of the patient, ensures a full restoration of the dentition defect with reproduction of the chewing function. The parameters of the stress-strain state in the bone tissue around dental implants are of the greatest importance for the effectiveness of prosthetics on implants, especially in the long term of their functioning. Significant power loads of variable amplitude in the jaw lead to resorption of bone tissue and failure of implants as artificial dental prostheses. In this regard, research on modeling the stress-strain state in bone tissue under different loading conditions of implants is relevant. This research presents the results of studying the stress-strain state of the bone-implant system under static loading. Numerical calculations were performed for four installation angles of the implant: 0°, 7°, 15°, and 22°. The solid model of the mandible and the implant model were made in Spaceclaim software, and the stresses were determined using ANSYS Workbench. The results obtained show the effect of the implant placement angle on the distribution of stress fields in the bone tissue and implant. The analysis of the calculation results will help to ensure optimal functioning and durability of dental implants.
Correspondence of Manifestly and Implicit Lorentz-Covariant Treatments of the Relativistic Lagrangian Mechanics: Euler–Lagrange Covariant Equations Revisited
Authors: Lebedev-Stepanov Peter
Published: March 2024

The equations of manifestly Lorentz-covariant Lagrangian mechanics are derived from implicitly Lorentz-covariant Euler–Lagrange equations. The resulting equations coincide with the Kalman equations, originally derived by a different way. However, the inverse transformation of the Kalman equations into Euler–Lagrange ones requires some restrictions of the manifestly covariant Lagrangian and the variational procedure. The Kalman equations are modified for one-to-one correspondence with implicitly covariant treatment of the mechanics. It is shown that the use of proper time as a non-variable parameter does not satisfy the correspondence principle of manifestly and implicit treatments.
General Balance in the Six-Dimensions of Space-Time
Authors: Mousavi Seyed Kazem
Published: March 2024

This paper presents a comprehensive theory that expresses the theories of quantum mechanics and general relativity in a unified framework. The study investigates events over a specific duration in the Euclidean six-dimensional space-time (𝑅6=𝑥1+𝑥2+𝑥3+𝑡1+𝑡2+𝑡3). Notably, the relationship between the inherent properties of matter, fundamental constants, and quantum mechanics phenomena with space-time geometry has not been thoroughly explored in previous research. The proposed theory provides deterministic predictions for the probabilistic outcomes of quantum mechanics. This prediction is based on a metric derived from the Eccentricity of the Ellipse, influenced by the density of objects over time. Furthermore, the article presents novel insights into the cause and nature of dark matter and dark energy.
AgroClimate Indicators Web-Based Monitoring Tool
Authors: Fraisse Clyde , Karrei Mauricio A. Z. , Walsh Margaret
Published: March 2024

This guide introduces users to a recently developed web-based tool on AgroClimate.org that was designed to systematically monitor climate indicators and detect anomalies with the potential to affect the agricultural industry in Florida and elsewhere in the continental United States. Written by Clyde W. Fraisse, Mauricio A. Z. Karrei, and Margaret Walsh, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2024.
Tips para la inseminación artificial en bovinos
Authors: Cortés-Beltrán Daniela , Gonella Angela
Published: March 2024

Esta publicación está dirigida a los productores de ganado bovino, trabajadores agrícolas y agentes de Extensión, con el propósito de proporcionar información sobre cómo realizar una IA exitosa en bovinos. Este documento, AN380-Span, es uno de una serie del Department of Animal Sciences, UF/IFAS Extension. La publicación original es de marzo 2024.
Labor Issues that the H2A Temporary Agricultural Worker Policy Attempts to Resolve in Florida
Authors: Stephens Jonathan C. , Lai John , Kassas Bachir
Published: March 2024

Labor is a critical component of a successful agricultural venture. In 2020, the USDA reported that 10.3% of total US employment was in jobs in the agricultural and food sectors. We rely on food, fiber, and natural resources, and effective agricultural labor is a critical social need, but the challenges inherent in the effort to secure agricultural labor are many and difficult to solve. Particularly in Florida, maintaining a labor sufficient to meet the needs of the industry presents a complex problem. Controversies abound over issues like human rights and migrant vs. domestic labor. Today the H-2A Temporary Agricultural Workers Program is providing some compromise and progress within the agricultural labor crisis. The purpose of this publication is to review agricultural labor in Florida and  analyze how the H-2A program addresses agricultural labor challenges. The publication will be of interest to consumers, labor activists, producers, corporations, and governments.
Portion Control: A Key to Weight Management
Authors: Gaisser Cassie C. , Shelnutt Karla P. , Johnson Lori , Wallau Annie
Published: March 2024

Portion sizes and overall calorie intake in the United States have significantly increased over the last 50 years. Along with this increase in calories, portion sizes have grown larger over the years. Understanding portion control can help you eat the right amount of food to maintain a healthy weight. Written by Cassie C. Gaisser, Karla P. Shelnutt, Lori Johnson, and Annie Wallau, and published by the UF/IFAS Department of Family, Youth and Community Sciences, revised March 2024.
Management of the Blueberry Gall Midge in Florida’s Southern Highbush Blueberries
Authors: Lopez Marice , Munoz Patricio , Liburd Oscar
Published: March 2024

The blueberry gall midge (BGM) is one of the most important pests of southern highbush blueberries in Florida. Monitoring for BGM using clear sticky traps or bucket traps should begin as early as November. Chemical control should be applied right before bud break and then ten days after bud break, or when at least two BGM are found on traps. Other management practices include the use of younger mulch, using potentially resistant cultivars, and chemical control such as Movento with Induce and Apta in rotation to avoid resistance development. Applications should also be timed with larval and adult emergence for optimal insecticide efficacy.
The hibiscus erineum mite, Aceria hibisci (Nalepa 1906)
Authors: Weaver Mikinley , Dale Adam
Published: March 2024

Aceria hibisci, the hibiscus erineum mite, is a mite in the family Eriophyidae and can be a pest on ornamental Hibiscus rosa-sinensis plants. Eriophyid mites are small worm-like mites that feed on plants by sucking out the cellular contents from leaves and stems. During feeding, they release chemicals that cause the formation of abnormal plant growths like galls and erinea. This mite species is not currently present in the continental U.S., but is established in several Pacific islands including Fiji and Hawaii, as well as Caribbean regions including Cuba, Puerto Rico, and Jamaica. Therefore, it is a species of concern with potential to become introduced and established in the continental U.S. This publication describes biology, diagnosis, distribution, and management of this mite species.
Ips sexdentatus (Börner, 1767)
Authors: Dong Yiyi , Hulcr Jiri
Published: March 2024

Ips sexdentatus, also known as the six-toothed spruce bark beetle, is a species that primarily colonizes spruce trees (Pinaceae) across Eurasia. While not yet recorded outside of its native range, it was listed the 2023 Priority Pest List designed by USDA’s Animal and Plant Health Inspection Service and has a high invasion potential to the North American continent.
¿Vio un puma?
Authors: Episcopio Diane J. , Pienaar Elizabeth F. , Main Martin B. , Areingdale Alejandra , Ubeda Armando
Published: March 2024

Los pumas a veces se pueden confundir con gatos monteses, perros y coyotes. En este documento se proporcionan datos e imágenes que pueden ayudar a cualquier persona a identificar a un puma.
Is it coping or is it a vice? Understanding stereotypic behaviors in horses
Authors: Wickens Carissa , Heleski Camie
Published: March 2024

This article will share what science has revealed about stereotypic behaviors, and how this information can be applied to better manage and thus improve the welfare of horses with stereotypic behavior. Written by Carissa Wickens and Camie Heleski, and published by the Veterinary Medicine—Department of Large Animal Clinical Sciences, UF/IFAS Extension, January 2024.
School-Based Agricultural Education Industry Certifications: Part 1—Introduction to Industry Certifications
Authors: Morrison Devon E. , Barry Debra M. , Jagger Carla B.
Published: March 2024

"Introduction to Industry Certifications" briefly discusses the history of agricultural education and the Smith-Hughes Act. It also provides an explanation as to what industry certifications are, as well as recognizes the organizations and the different types of certifications available to students within the Agriculture and Natural Resources pathway.
School-Based Agricultural Education Industry Certifications: Part 2—Getting Started
Authors: Morrison Devon E. , Barry Debra M. , Jagger Carla B.
Published: March 2024

"Getting Started" discusses how to get involved with industry certification testing organizations and entities. It also explains the registration process for many different testing organizations and entities to better prepare students for test day.
Rahim Organizational Conflict Inventory: Instrumentation and Application for Extension Professionals
Authors: Chiarelli Christy , Parrish Anne , Cantrell Megan , Benge Matt
Published: March 2024

Conflict is inevitable in workplaces among people of all ages. Extension professionals have a unique position where in a single workday they may be engage with youth and volunteers, as well as colleagues and supervisors. Extension professionals may experience conflict with their stakeholders, volunteers, and supervisors; therefore, they must be able to understand conflict and conflict styles to navigate tense situations. The Rahim Organizational Conflict Inventory (ROCI) is an instrument that can be used to understand one’s interpersonal conflict management style. By having a strong understanding of conflict components and for utilizing the ROCI tool, Extension professionals can manage conflict well and reduce the likelihood of dysfunctional conflict destroying relationships, teams, and organizations.