bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship between inflammatory laboratory parameters and severity of adolescent idiopathic scoliosis: A pilot study
Authors: Bertelè Laura , Giorgi Valeria , Bellavite Paolo , Apostolo Giovanni , Ortolani Riccardo , Fila Alice , Zanolin Elisabetta
Published: February 2024

BACKGROUND: Adolescent idiopathic scoliosis is a complex condition whose pathogenesis may include inflammation and signs of joint and bone degeneration. OBJECTIVE: The main objective of this study is to evaluate the relationship between the severity of adolescent idiopathic scoliosis and inflammatory blood parameters. METHODS: The study recruited patients with adolescent idiopathic scoliosis who attended the Rehabilitation Center of the Apostolo Foundation in Merate (LC). The scoliosis curve (Cobb’s angle) was used as a severity index to compare with inflammatory blood parameters (white blood cells subpopulations, immunoglobulins, protein electrophoresis). In addition, the study used an overall severity grading called “Scoliosis Score” which includes all spine angles and Risser’s score (bone development index). RESULTS: Thirty-four subjects were recruited (mean age 14 years, 2 months), 30 females and 2 males. A significant correlation was found between Cobb’s angle and the percentage values of beta-2 globulins in a directly proportional manner (r= 0.42, p= 0.01), and gamma globulins in an inversely proportional manner (r=-0.366, p= 0.04). However, no significant correlation between Cobb’s angle and the absolute values of white blood cells and percentage subpopulations was found (r= 0.0821 p= 0.655). A moderate, inverse correlation was found between the Scoliosis Score and the percentage of neutrophils (r=-0.385, p= 0.02), a direct correlation was found between the Scoliosis Score and the percentage of lymphocytes (r= 0.404, p= 0.02). In addition, there was a strong correlation of the Scoliosis Score with alpha-2 globulin (r= 0.564, p= 0.0012), beta-1 globulin (r= 0.478, p= 0.0074), and beta-2 globulin (r= 0.370, p= 0.044) and an inverse relationship with gamma globulin (r=-0.625, p= 0.0002). The main correlations were confirmed by regression analysis. CONCLUSION: The correlation between beta-2 globulins and gamma globulins with Cobb’s angle and the Scoliosis Score suggests a link between spinal curvature and inflammation in scoliosis patients, This link may indicate the significance of these parameters for diagnosing, staging the disease, and monitoring therapies.
Analytical learning classifier based on predefined evenly-distributed class centroids
Authors: Hu Haiping , Huo Wei , Yan Yingying , Zhu Qiuyu
Published: February 2024

For the pattern recognition, most classification models are solved iteratively, except for Linear LDA, KLDA and ELM etc. In this paper, a nonlinear classification network model based on predefined evenly-distributed class centroids (PEDCC) is proposed. Its analytical solution can be obtained and has good interpretability. Using the characteristics of maximizing the inter-class distance of PEDCC and derivative weighted minimum mean square error loss function to minimize the intra-class distance, we can not only realize the effective nonlinearity of the network, but also obtain the analytical solution of the network weight. Then, the sample is classified based on GDA. In order to further improve the performance of classification, PCA is used to reduces the dimensionality of the original sample, meanwhile, the CReLU activation function are adopted to enhances the expression ability of the features. The network transforms the samples into the higher dimensional feature space through the weighted minimum mean square error, so as to find a better separation hyperplane. In experiments, the feasibility of the network structure is verified from pure linear 𝑾, 𝑾+Tanh, and PCA+𝑾+Tanh respectively on many small data sets and large data sets, and compared with SVM and ELM in terms of training speed and recognition rate. The results show that, in general, this model has advantages on small data set both in recognition accuracy and training speed, while it has advantages in training speed on large data sets. Finally, by introducing a multi-stage network structure based on the latent feature norm, the classifier network can further significantly improve the classification performance, the recognition rate of small data sets is effectively improved and much higher than that of existing methods, while the recognition rate of large data sets is similar to that of SVM.
Improving process discovery by filtering noises based on event dependency
Authors: Yu Dongjin , Ni Ke , Li Zhongyang , Zhang Shengyi , Sun Xiaoxiao , Hou Wenjie , Ying Yuke
Published: February 2024

Process discovery techniques analyze process logs to extract models that characterize the behavior of business processes. In real-life logs, however, noises exist and adversely affect the extraction and thus decrease the understandability of discovered models. In this paper, we propose a novel double granularity filtering method, executed on both the event and trace levels, to detect noises by analyzing the directly-following and parallel relations between events. Based on the probability of an event occurring in a sequence, the infrequent behaviors and redundant events in the logs can be filtered out. In addition, the missing events in parallel blocks are detected to further improve the performance of filtering. Experiments on synthetic logs and five real-life datasets demonstrate that our method significantly outperforms other state-of-the-art methods.
Towards robust log parsing using self-supervised learning for system security analysis
Authors: Cao Jinhui , Di Xiaoqiang , Liu Xu , Xu Rui , Li Jinqing , Ren Weiwu , Qi Hui , Hu Pengfei , Zhang Kehan , Li Bo
Published: February 2024

Logs play an important role in anomaly detection, fault diagnosis, and trace checking of software and network systems. Log parsing, which converts each raw log line to a constant template and a variable parameter list, is a prerequisite for system security analysis. Traditional parsing methods utilizing specific rules can only parse logs of specific formats, and most parsing methods based on deep learning require labels. However, the existing parsing methods are not applicable to logs of inconsistent formats and insufficient labels. To address these issues, we propose a robust Log parsing method based on Self-supervised Learning (LogSL), which can extract templates from logs of different formats. The essential idea of LogSL is modeling log parsing as a multi-token prediction task, which makes the multi-token prediction model learn the distribution of tokens belonging to the template in raw log lines by self-supervision mode. Furthermore, to accurately predict the tokens of the template without labeled data, we construct a Multi-token Prediction Model (MPM) combining the pre-trained XLNet module, the n-layer stacked Long Short-Term Memory Net module, and the Self-attention module. We validate LogSL on 12 benchmark log datasets, resulting in the average parsing accuracy of our parser being 3.9% higher than that of the best baseline method. Experimental results show that LogSL has superiority in terms of robustness and accuracy. In addition, a case study of anomaly detection is conducted to demonstrate the support of the proposed MPM to system security tasks based on logs.
Lightweight blockchain approach to reduce double-spend and 51% attacks on Proof-of-Work
Authors: Nayancy  , Dutta Sandip , Chakraborty Soubhik
Published: February 2024

Blockchain has attracted tremendous attention in recent years due to its significant features including anonymity, security, immutability, and audibility. Blockchain technology has been used in several nonmonetary applications, including Internet-of-Things. Though blockchain has limited resources, and scalability is computationally expensive, resulting in delays and large bandwidth overhead that are unsuitable for many IoT devices. In this paper, we work on a lightweight blockchain approach that is suited for IoT needs and provides end-to-end security. Decentralization is achieved in our lightweight blockchain implementation by building a network with a lot of high-resource devices collaborate to maintain the blockchain. The nodes in the network is arranged in sorted order w.r.t execution time and count to reduce the mining overheads and is accountable for handling the public blockchain. We propose a distributed execution time-based consensus algorithm that decreases the delay and overhead of the mining process. We also propose a randomized node-selection algorithm for the selection of nodes to verify the mined blocks to eliminate the double-spend and 51% attack. The results are encouraging and significantly reduce the mining overhead and keep a check on the double-spending problem and 51% attack.
Floating-point histograms for exploratory analysis of large scale real-world data sets
Authors: Boullé Marc
Published: February 2024

Histograms are among the most popular methods used in exploratory analysis to summarize univariate distributions. In particular, irregular histograms are good non-parametric density estimators that require very few parameters: the number of bins with their lengths and frequencies. Although many approaches have been proposed in the literature to infer these parameters, most existing histogram methods are difficult to exploit for exploratory analysis in the case of real-world data sets, with scalability issues, truncated data, outliers or heavy-tailed distributions. In this paper, we focus on the G-Enum histogram method, which exploits the Minimum Description Length (MDL) principle to build histograms without any user parameter. We then propose to extend this method by exploiting a new modeling space based on floating-point representation, with the objective of building histograms resistant to outliers or heavy-tailed distributions. We also suggest several heuristics and a methodology suitable for the exploratory analysis of large scale real-world data sets, whose underlying patterns are difficult to recover for digitization reasons. Extensive experiments show the benefits of the approach, evaluated with a dual objective: the accuracy of density estimation in the case of outliers or heavy-tailed distributions, and the effectiveness of the approach for exploratory data analysis.
Herpes Simplex Viral Infection Doubles the Risk of Dementia in a Contemporary Cohort of Older Adults: A Prospective Study
Authors: Vestin Erika , Boström Gustaf , Olsson Jan , Elgh Fredrik , Lind Lars , Kilander Lena , Lövheim Hugo , Weidung Bodil
Published: February 2024

Background:

Evidence indicates that herpes simplex virus (HSV) participates in the pathogenesis of Alzheimer’s disease (AD).

Objective:

We investigated AD and dementia risks according to the presence of herpesvirus antibodies in relation to anti-herpesvirus treatment and potential APOE ɛ4 carriership interaction.

Methods:

This study was conducted with 1002 dementia-free 70-year-olds living in Sweden in 2001–2005 who were followed for 15 years. Serum samples were analyzed to detect anti-HSV and anti-HSV-1 immunoglobulin (Ig) G, anti-cytomegalovirus (CMV) IgG, anti-HSV IgM, and anti-HSV and anti-CMV IgG levels. Diagnoses and drug prescriptions were collected from medical records. Cox proportional-hazards regression models were applied.

Results:

Cumulative AD and all-cause dementia incidences were 4% and 7%, respectively. Eighty-two percent of participants were anti-HSV IgG carriers, of whom 6% received anti-herpesvirus treatment. Anti-HSV IgG was associated with a more than doubled dementia risk (fully adjusted hazard ratio = 2.26, p = 0.031). No significant association was found with AD, but the hazard ratio was of the same magnitude as for dementia. Anti-HSV IgM and anti-CMV IgG prevalence, anti-herpesvirus treatment, and anti-HSV and -CMV IgG levels were not associated with AD or dementia, nor were interactions between anti-HSV IgG and APOE ɛ4 or anti-CMV IgG. Similar results were obtained for HSV-1.

Conclusions:

HSV (but not CMV) infection may be indicative of doubled dementia risk. The low AD incidence in this cohort may have impaired the statistical power to detect associations with AD.
Agent Orange Herbicidal Toxin-Initiation of Alzheimer-Type Neurodegeneration
Authors: de la Monte Suzanne M. , Tong Ming
Published: February 2024

Background:

Agent Orange (AO) is a Vietnam War-era herbicide that contains a 1 : 1 ratio of 2,4-dichlorophenoxyacetic acid (2,4-D) and 2,4,5-trichlorophenoxyacetic acid (2,4,5-T). Emerging evidence suggests that AO exposures cause toxic and degenerative pathologies that may increase the risk for Alzheimer’s disease (AD).

Objective:

This study investigates the effects of the two main AO constituents on key molecular and biochemical indices of AD-type neurodegeneration.

Methods:

Long Evans rat frontal lobe slice cultures treated with 250μg/ml of 2,4-D, 2,4,5-T, or both ( D + T) were evaluated for cytotoxicity, oxidative injury, mitochondrial function, and AD biomarker expression.

Results:

Treatment with the AO constituents caused histopathological changes corresponding to neuronal, white matter, and endothelial cell degeneration, and molecular/biochemical abnormalities indicative of cytotoxic injury, lipid peroxidation, DNA damage, and increased immunoreactivity to activated Caspase 3, glial fibrillary acidic protein, ubiquitin, tau, paired-helical filament phosphorylated tau, AβPP, Aβ, and choline acetyltransferase. Nearly all indices of cellular injury and degeneration were more pronounced in the D + T compared with 2,4-D or 2,4,5-T treated cultures.

Conclusions:

Exposures to AO herbicidal chemicals damage frontal lobe brain tissue with molecular and biochemical abnormalities that mimic pathologies associated with early-stage AD-type neurodegeneration. Additional research is needed to evaluate the long-term effects of AO exposures in relation to aging and progressive neurodegeneration in Vietnam War Veterans.
Reduced Prefrontal-Thalamic Theta Flow During Working Memory Retrieval in APP/PS1 Mice
Authors: Zhang Shengnan , Ai Hongrui , Wang Jia , Liu Tiaotiao , Zheng Xuyuan , Tian Xin , Bai Wenwen
Published: February 2024

Background:

Working memory deficits in Alzheimer’s disease (AD) are linked to impairments in the retrieval of stored memory information. However, research on the mechanism of impaired working memory retrieval in Alzheimer’s disease is still lacking.

Objective:

The medial prefrontal cortex (mPFC) and mediodorsal thalamus (MD) are involved in memory retrieval. The purpose of this study is to investigate the functional interactions and information transmission between mPFC and MD in the AD model.

Methods:

We recorded local field potentials from mPFC and MD while the mice (APP/PS1 transgenic model and control) performed a T-maze spatial working memory task. The temporal dynamics of oscillatory activity and bidirectional information flow between mPFC and MD were assessed during the task phases.

Results:

We mainly found a significant decrease in theta flow from mPFC to MD in APP/PS1 mice during retrieval.

Conclusions:

Our results indicate an important role of the mPFC-MD input for retrieval and the disrupted information transfer from mPFC to MD may be the underlying mechanism of working memory deficits in APP/PS1 mice.
Loss of Adaptive DNA Breaks in Alzheimer’s Disease Brains
Authors: Zhang Xiaoyu , Haeri Mohammad , Swerdlow Russell H. , Wang Ning
Published: February 2024

Background:

DNA breaks accumulate in Alzheimer’s disease (AD) brains. While their role as true genomic lesions is recognized, DNA breaks also support cognitive function by facilitating the expression of activity-dependent immediate early genes. This process involves TOP2B, a DNA topoisomerase that catalyzes the formation of DNA double-strand breaks.

Objective:

To characterize how AD impacts adaptive DNA breaks at nervous system genes.

Methods:

We leveraged the ability of DNA single- and double-strand breaks to activate poly(ADP-ribose) polymerases (PARPs) that conjugate poly(ADP-ribose) (PAR) to adjacent proteins. To characterize the genomic sites harboring DNA breaks in AD brains, nuclei extracted from 3 AD and 3 non-demented autopsy brains (frontal cortex, all male donors, age 78 to 91 years of age) were analyzed through CUT&RUN in which we targeted PAR with subsequent DNA sequencing.

Results:

Although the AD brains contained 19.9 times more PAR peaks than the non-demented brains, PAR peaks at nervous system genes were profoundly lost in AD brains, and the expression of these genes was downregulated. This result is consistent with our previous CUT&RUN targeting γH2AX, which marks DNA double-strand breaks. In addition, TOP2B expression was significantly decreased in the AD brains.

Conclusions:

Although AD brains contain a net increase in DNA breaks, adaptive DNA breaks at nervous system genes are lost in AD brains. This could potentially reflect diminished TOP2B expression and contribute to impaired neuron function and cognition in AD patients.
RETRACTED: Temperature prediction and scheduling of data center based on segmented neural network
Authors: Simin Wang , Yifei Kang , Yixuan Xu , Chunmiao Ma , Jinyu Wang , Weiguo Wu
Published: February 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Detection of fatigue driving behavior based on facial expression
Authors: Ding Ling , Xiong Xiaobing , Bao Zhenyu , Hu Luokai , Chen Yu , Li Bijun , Cheng Yong
Published: February 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Nonparametric estimation of nonautonomous uncertain differential equations with application to temperature models
Authors: Feng Yue , Zhu Yuanguo , He Liu
Published: February 2024

In recent years, there has been a great development in parameter estimation methods for uncertain differential equations (UDEs). However, the observations we can obtain in real life are limited, in which case the form of function in a UDE is unknown. When dealing with such UDEs, we may use observational data to make nonparametric estimates. There are many nonautonomous systems in real life, and nonautonomous UDEs can simulate some uncertain nonautonomous dynamical systems well. In this paper, a nonparametric estimation method based on the nonautonomous UDEs of the binary Legendre polynomial is proposed. Then, three numerical examples are given to verify the reliability of nonparametric estimation. As an application, a real data example of global average monthly temperatures is used to illustrate the effectiveness of our method.
An efficient algorithm for multi-scale maritime object detection and recognition
Authors: Liu Yang , Yi Ran , Ma Ding , Wang Yongfu
Published: February 2024

Due to the complexity of the maritime environment and the diversity of the volume and shape of monitored objects in the maritime, existing object detection algorithms based on Convolutional Neural Networks (CNN) are challenging to balance the requirements of high accuracy and high real-time simultaneously in the field of maritime object detection. In response to the characteristics of complex backgrounds, significant differences in object size between categories, and the characteristic of having a large number of small objects in maritime surveillance videos and images, the Maritime dataset with rich scenes and object categories was self-made, and the OS-YOLOv7 algorithm was proposed based on the YOLOv7 algorithm. Firstly, a feature enhancement module named the TC-ELAN module based on the self-attention mechanism was designed, which enables the feature map used for detection to obtain enhanced semantic information fused from multiple scale features. Secondly, in order to enhance the attention to the area of dense small objects and further improve the positioning accuracy of occluded small objects, this study redesigned the SPPCSPC structure. Then, the network structure was improved to alleviate the problem of decreased object detection accuracy caused by the loss of semantic feature information. Finally, experimental results on self-made datasets and mainstream maritime object detection datasets show that OS-YOLOv7 has a better object detection effect compared to other state-of-the-art (SOTA) object detection algorithms at the cost of reasonable inference time and parameter quantity and can achieve good object detection accuracy on mainstream datasets with high real-time performance.
A multi-granularity hesitant fuzzy linguistic decision making VIKOR method based on entropy weight and information transformation
Authors: Qian Jin , Wang Taotao , Lu Yuehua , Yu Ying
Published: February 2024

Multi-granularity hesitant fuzzy linguistic terms set is an effective expression of linguistic information, which can utilize some fuzzy linguistic terms to evaluate various common qualitative information and plays an important role when experts provide linguistic information to express hesitancy. Since the alternative description in the decision-making information system is characterized by multi-granularity, uncertainty, and vagueness, this paper proposes a multi-granularity hesitant fuzzy linguistic decision-making VIKOR method based on entropy weight and information transformation. Specifically, this paper firstly adopts fuzzy information entropy to obtain the weights of different attributes and introduces a multi-granularity hesitant fuzzy linguistic term set conversion method to realize the semantic information conversion between different granularities. Then for the converted affiliation linguistic decision matrix, the entropy weighting method is used to obtain the weights of different affiliation granularity layers, and a weight optimization VIKOR method based on the affiliation linguistic decision matrix is further proposed to rank the alternatives. Finally, the feasibility of the proposed method verified by arithmetic examples, experimental analysis is carried out in terms of parameter sensitivity analysis and comparison with other methods. The experimental results prove the rationality and effectiveness of the proposed method.
Changes in self-perceived performance and satisfaction with performance of daily activities following interdisciplinary rehabilitation in people with late effects of polio
Authors: Appelin Katja , Erlandsson Lena-Karin , Lexell Jan , Lexell Eva Månsson
Published: February 2024

BACKGROUND: People with late effects of polio (LEoP) may need rehabilitation to manage everyday life but knowledge of the benefits of interdisciplinary rehabilitation is limited. OBJECTIVE: To evaluate changes in performance and satisfaction with performance of activities among people with LEoP following interdisciplinary rehabilitation. METHODS: A pre-post retrospective study based on data on 102 participants with LEoP from a rehabilitation clinic. Changes in performance and satisfaction with performance of daily activities before and after interdisciplinary rehabilitation were assessed with the Canadian Occupational Performance Measure (COPM). RESULTS: There were statistically significant increases in the mean performance and mean satisfaction with performance COPM scores from admission to discharge. Twenty-three percent and 19% of the participants, respectively, had improved their performance and satisfaction with performance, 25% and 26% of the participants had no changes, and 19% and 22% of the participants, respectively, rated their performance and satisfaction lower at discharge compared to admission. CONCLUSION: Interdisciplinary rehabilitation can enhance self-rated performance and satisfaction with performance of daily activities among people with LEoP. Future studies of rehabilitation for people with LEoP should use a prospective design and capture the participants’ process of change related to their rehabilitation period.
Evaluating the impact of work from home policies on Google search Trends related to ankle surgery during the COVID-19 pandemic
Authors: Wu Kevin A. , Anastasio Albert T. , Kim Joshua K. , Choudhury Ankit , Adams Samuel B.
Published: February 2024

BACKGROUND: The COVID-19 pandemic caused notable shifts in healthcare behavior, influenced by remote work policies. This study examines the impact of Work from Home (WFH) policies on public interest in ankle-related orthopaedic surgeries, utilizing Google search trends. Understanding these trends is crucial for healthcare providers, enabling them to adapt services and communication to evolving patient needs during challenging times. OBJECTIVE: To comprehend variations in search volume and trends for ankle-related queries due to WFH policies during the COVID-19 pandemic. METHODS: Ankle-related terms accessible to laypersons were analyzed using Google Trends data from March 2018 to March 2022 in the United States. Data were divided into pre-pandemic (March 2018-March 2020) and post-pandemic (March 2020-March 2022) periods. Weekly search interest data for 20 terms were analyzed using a Mann-Whitney U test. The study aimed to identify significant changes in search interest, providing insights into public information-seeking behavior concerning ankle surgeries. RESULTS: Among the 20 terms analyzed, 11 exhibited significant changes. Ankle arthritis and ankle bursitis showed increased interest, suggesting heightened concern during the pandemic. Conversely, post-pandemic interest decreased for terms 9 terms, including ankle pain and ankle tendonitis, indicating reduced worry. Moderate declines were noted for ankle gout, Achilles tendonitis, and heel bursitis, reflecting shifting patient priorities. Some terms, including ankle fracture and ankle arthroplasty, showed stable information-seeking behavior despite the pandemic. CONCLUSIONS: The study underscores the nuanced impact of WFH policies on public interest in ankle-related orthopaedic surgeries. Varied search trends highlight changing patient concerns. Healthcare providers can use these insights to tailor services effectively, meeting evolving patient needs and enhancing communication strategies.
System and Method for One or More Extruders Using a Robotic Arms to Print a 3D Model
Authors: K G Sagar
Published: February 2024

The need for creating realistic body parts and anatomical models using additive printing was long ago recognised. The paper "Rapid prototyping approaches for anatomical modelling in medicine" by M. McGurk et al. in Ann. R. Coll. Surg. Engl. 1997; 79; 169-174, which discussed 3-D printing of models, summarised the state of the art in this subject some years ago. Models were made by sprinkling liquid over a layer of precursor powder using inkjet printer nozzles to form a solid, thin slice. For each additional slice, the printing procedure was repeated until the item was finished as a "green state" component, which was then burned in a furnace to sinter it. The product was then subjected to further processing to create a full density portion. Large item 3D printing has been simpler than in previous years because to the development of software for computer controlled robotic XY motion systems used in the semiconductor and optical sectors. Layered building of 3D things is now a comparatively cheap and quick operation for 3D printing equipment thanks to software applications like SolidWorks, AutoCAD 360, and similar software products. Larger things may be 3D printed by either attaching rails above the print nozzles for X-Y motion directed from above the nozzles, or by positioning the object to be created on an X-Y table with motion supplied below the nozzles. The current work attempts to construct a 3D printing setup that utilises two robotic arms to print a single component. Here, the bed will be swivelled to a specific angle to prevent the robotic arms from becoming entangled, and the robotic arms will also move 180 degrees from their mean positions. Additionally, the related software will be developed locally in our lab, resulting in a shorter printing time and higher level of accuracy.
Pelatihan Branding Produk bagi Siswa SMK Calon Pelaku UMKM di Kota Tangerang
Authors: Irawan Enjang Pera , Saifulloh Muhammad , Lumban Toruan Rialdo Rezeky Manogari
Published: February 2024

Data dari Institute for Developments of Economics and Finance (Indef), porsi produk impor yang dijual di e-commerce mencapai 90%. Kondisi ini menciptakan persaingan yang sangat kompetitif. Salah satu kelemahan pelaku bisnis yaitu kurangnya pemahaman akan branding produk. Untuk calon pelaku UMKM perlu diberikan pemahaman dan kompetensi dalam melakukan branding guna meningkatkan nilai jual produk mereka. Pemilihan siswa SMK Budi Mulia Kota Tangerang karena Universitas Mercu Buana telah memiliki kerjasama di bidang kewirausahaan. Melalui pelatihan branding ini, para perserta memperoleh peningkatan pemahaman dan kompetensi branding. Metode pelatihan yang akan dilakukan yaitu dengan pemaparan materi (ceramah), diskusi interaktif, dan simulasi branding yang melibatkan seluruh peserta. Untuk mengukur tolok ukur keberhasilan program ini, siswa mengisi kuesioner singkat yang berisi pertanyaan tentang pemahaman mereka terhadap materi yang diberikan, serta penilaian hasil simulai branding yang telah dilakukan. Dari hasil kuesioner, peserta pelatihan terlihat memahami pentingnya branding, dan menguasai bagaimana merencanakan branding secara baik.
Pelatihan Microsoft Office untuk Meningkatkan Keterampilan Komputer Bagi Pemuda Gereja Jemaat Lembah Yordan
Authors: S. Renyaan Axelon , Sumanik Ermy Dikta , Kubelaborbir Triana M.
Published: February 2024

Pemahaman pemuda gereja tentang Microsoft word, excel dan power point merupakan hal yang sangat penting dewasa ini. Sebagian besar para pemuda gereja belum menguasai aplikasi office (Word, Excel dan Power Point) untuk menunjang aktivitas di gereja maupun di sekolah (Mardi Hardjianto et al., 2023). Penguasaan keterampilan ini sangat penting mengingat penggunaan aplikasi office yang telah merambah berbagai sektor pekerjaan. Tujuan kegiatan pengabdian ini adalah menambah pengetahuan khususnya di bagian soft skill para pemuda gereja sehingga mampu menghadapi dunia kerja dan lain-lain. Metode kegiatan pengabdian kepada masyarakat ini adalah pelatihan secara langsung kepada peserta dengan ceramah, diskusi/tanya jawab dan praktek langsung. Dalam pelatihan ini diberikan pre-test sebelum kegiatan dan post test setelah kegiatan. Hasil kegiatan ini  adalah ketercapaian jumlah sasaran peserta mendapatkan nilai 80 keatas sebesar 90%, ketercapaian hasil ini di dapat dari pengamatan di lapangan pada saat proses memberikan tes, dimana dari 13 orang hanya 1 yang nilainya di bawah 80. Kegiatan pelatihan ini terbukti mampu meningkatkan keterampilan computer pemuda gereja dalam mengaplikasikan Microsoft office (Ms.Word, Ms.Excel dan Ms.Powerpoint).
The role of the transition to the Latin alphabet in Kazakhstan in the modernization of the state language
Authors:   Al-Farabi Kazakh National University, Mukhataeva K. , Maikotova G. ,   Al-Farabi Kazakh National University
Published: February 2024

Since the beginning of independence, many proposals have been made and discussed in our country regarding the transition to the Latin alphabet. After the adoption of the Law on the transition to the Latin alphabet, the views and analysis of ordinary citizens and representatives of the intelligentsia of our republic were made public. If one to look at the historical precedents, it becomes clear that it is not easy to change the alphabet of any country. But although this is beneficial to the colonial countries, it leads to a slowdown in the development of political, economic, historical, cultural and national values of local peoples. Therefore, by decision of the Soviet government in 1929-1940, the first Decree was adopted in the Kazakh SSR on the introduction of a new alphabet based on the Latin alphabet. As for the Alash intelligentsia, they perfectly understood the negative consequences of such a mission and wanted the Kazakh people to have their own alphabet. The project of the national leader Ahmet Baitursynuly “Cursive writing” also did not last long. Those who opposed the Latin alphabet were accused and persecuted. The purpose of the article is to highlight a number of problems occurring in our society in connection with the romanization of the Kazakh alphabet. During the study of the topic of the article, along with empirical methods, such as description, observation and comparison, theoretical methods were used based on the opinions of prominent figures of the country and research and conclusions in the works of foreign scientists. The proposed scientific article is intended for domestic and foreign undergraduates and doctoral students, as well as linguists and researchers who study in detail the process of the transition of Kazakh graphics to the Latin alphabet.
The poem Khosrow and Shirin and the epic heritage of the Turkic peoples
Authors:   Al-Farabi Kazakh National University, Sagymzhanova T. , Sagyndyk N. ,   Al-Farabi Kazakh National University, Alkaya E. ,   Firat University
Published: February 2024

In the article, we have linked the achievements of the Turkic civilization during the Islamic culture and the trends of Eastern classical literature. Analyzing oriental love psalms from the point of view of their origin and formation, researcher A.Kyraubayeva proves that the genre of love poems originated in our ancient literature in the XIII-XIII centuries and developed in the second half of the XIX-first half of the XX century. Despite the fact that among the oriental love psalms that became the main idea of the article, we received, first of all, Khosrow and Shirin, a number of works of that era were analyzed. After all, the deep depths of history that make up the epic heritage of the Turkic peoples are inextricably linked with everything. The main part of the article shows that Oriental love psalms, as a genre in which their style and plot development have developed, are a large branch of verbal art that existed until the beginning of the twentieth century. In the final part, we will summarize the results, relatively considering the similarities and foundations in the love poems of deep Kazakh history. The final part gives a clear definition of how close the connection between authenticity and folklore is, which has become the subject of world science research.
Actual problems of studying regional media
Authors:   L.N. Gumilyov Eurasian National University, Ashirbekova G.Sh. , Yesnazarova R.M. ,   Korkyt Ata Kyzylorda University, Bakhtiyarkyzy S. B. ,   Korkyt Ata Kyzylorda University
Published: February 2024

The article analyzes the current problems of studying regional media. The author, comparing the methods of studying the history of the press and the data contained in the works of scientists, puts forward the need to systematize the history of regional newspapers in the future. Comparing research papers, shows the discrepancy of data in the history of the regional press using a table. It also emphasizes the place and important activity of regional media in domestic journalism and defines the importance of mastering technological capabilities in the digital age. The author relied on a number of research papers related to regional media and demonstrated their innovation. Having analyzed the current problems of studying regional media, I focused on their significance. Also defines the issues that need to be considered in the future. The article clearly outlines the disadvantages of using the new media capabilities of regional media. It is established that foreign regional media researchers need to pay attention to research methods and consider problematic issues in the activities of regional media.
Rural regional newspapers of the Russian Federation on the Internet
Authors:   Novosibirsk State University,, Belenko V.E.
Published: February 2024

In the context of the development of broadband and mobile Internet in rural areas of the Russian Federation, using the example of three regions of the Siberian Federal District, the dynamics of circulation of rural regional newspapers and the development of the Internet by this type of socio-political periodicals are examined. The article presents an analysis of websites and public pages in various social networks of almost one hundred newspapers based on a complete sample of municipal publications in regional districts. The analysis showed that over the past ten years, newspapers have made significant progress towards accumulating an Internet audience: almost all of them have functioning, daily updated websites, although they are still quite poorly adapted to mobile media consumption. All newspapers have pages on at least two social networks (VKontakte and Odnoklassniki), and newspapers in the Krasnoyarsk Territory work better than others with platforms that are new to this type of publication, such as Telegram and video hosting.
Positioning of the ethnos language in the Russian-speaking regional periodicals of Kazakhstan and Belarus in the context of bilingualism
Authors:   A. Baytursynov Kostanay Regional University, Kungurova O. G.
Published: February 2024

The article considers one of the aspects of the modern globalization process manifested in language mixture and analyses their examples in the regional mass media of Kazakhstan and Belarus. The language integration - Russian and Kazakh, Russian and Belorussian - is represented as a logical process of cultural dialogue and intercultural integration. The article substantiates the necessity of studying and reflecting on this process because of its activation in real media texts. Using the methods of analysis, comparing, contrasting, and content-analysis of the texts in Russian-language print media of Kazakhstan and Belarus indicates a high level of bilingualism in Kazakhstani regional mass media and a low level in Belorussian. Concrete examples from Russian-language texts in mass media of the Kostanay region in Kazakhstan approve that the frequency of using not only adapted Kazakhisms in them but also new borrowings used according to the rules and in the schedule of the Kazakh language provokes the formation and development of a special, specific form of the Russian language.
Epistaxis-related hemolacria in a 6-year-old female after midfacial trauma: Epistaxis-related hemolacria
Authors: Demirer Çelik Merve , Aslan Deniz
Published: February 2024

Hemolacria (HL) is a rare condition characterized by the presence of blood in the tears. Bleeding associated with tears can occur in the context of infection, inflammation, trauma to the eye or surrounding structures, vascular tumors of the eye or surrounding structures, or retrograde epistaxis. We herein present a pediatric case with HL in the setting of epistaxis due to post-traumatic vessel injury without fracture, along with a literature review. Bleeding from the inferior lacrimal punctum was controlled by successful cauterization of damaged vessels and follow-up has remained uneventful for over a year. Bleeding from the eye is an alarming symptom, especially if it developed after facial trauma. However, physicians should be more aware that, in the absence of a fracture, HL due to retrograde epistaxis resulting from facial trauma can be a self-limited condition that is easily treated by controlling nasal hemorrhage.
Comparison of Standard and Vacuum Specimen Mammography in the Detection of Margin Status in Conservative Surgery for Breast Cancer: a Cross-Sectional Diagnostic Study
Authors: Eslami Bita , Omranipour Ramesh , Bayani Leila , Seifollahi Akram , Saberi Azin , Jahanbin Behnaz , Zeinalkhani Fahimeh , Arian Arvin , Sefidabi Reyhaneh , Orouji Marzieh , Firoozsamadi Zohreh , Khosravi Hengame , Koopaee Soheila , Tavakol Mahsa , Alipour Sadaf
Published: February 2024

Background: One of the most important factors that increases breast cancer (BC) recurrence after Breast-conserving surgery (BCS) is the positivity of the margins, which is found in permanent histological exams. Intra-operative specimen mammography (SM) can reduce the rate of margin positivity and re-operation. Our aim was to examine whether vacuum SM (VSM) is more accurate than standard SM (SSM) in detecting the positivity of the margins.
Methods: For this cross-sectional study, in the operating room, excised specimens of 55 women with breast cancer who underwent lumpectomy were oriented by metallic staples and sutures for radiologic and histological assessment, respectively. In the radiology ward, SSM was first taken; then, the specimen was vacuum packed and VSM was performed. Afterwards, the specimen was sent for histopathological analysis as a gold standard for the assessment of surgical margins. Specimens’ margins were classified according to the size of clear margins in millimeters as zero or >0; and ≤1 or >1.  
Results: The mean age of all participants was 51.22 ± 10.58 years. Totally, 220 margins were assessed. According to classified margins (zero and 1 mm), for the detection of affected margins, the accuracy values of the VSM method were 90.52%, and 87.20% while these figures were 91.51% and 88.68% for SSM. There was substantial agreement between the two methods of detecting the affected margins (VSM and SSM), with Cohen's κ =0.66, 95% CI: 0.34-0.97, P-value <0.001). Finally, there was not a statistically significant difference in the proportion of detecting margin between SSM and VSM (McNemar test P-value =0.63).
Conclusion: Specimen mammography with an adequate orientation of the tissue is an accurate and practical method for immediate intraoperative examination of the margin status in BCS, and VSM is not superior to SSM in the detection of affected margins.
LABOR MARKET IN UKRAINIAN WOODWORKING INDUSTRY: WAR TIME CHALLENGES AND WAYS TO OVERCOME
Authors:   Lesya Ukrainka Volyn National University, Barskyi Yurii , Tsymbaliuk Iryna ,   Lesya Ukrainka Volyn National University, Uniha Oleh ,   Lesya Ukrainka Volyn National University
Published: February 2024

This article conducts a comprehensive analysis of the labor market issues in the Ukrainian woodworking industry under the conditions of military conflict. The research is based on the systematization of available statistical data, observations of changes in economic and social processes in the industry, noting trends in employment and wages over the past six years. The identified labor market problems and challenges are thoroughly analyzed to develop strategic recommendations for overcoming the crisis consequences, restoring, and further developing the industry. The main task of the research is to systematize and analyze the dynamics of employment and wages in the woodworking industry from 2017 to 2022, as well as to identify the main challenges that have arisen for the industry due to the war. Special attention is paid to the personnel crisis, loss of logistics, problems with access to raw materials, and loss of customer base. The purpose of the article is a comprehensive review of the current state of the labor market in the Ukrainian woodworking industry and an analysis of various aspects of the labor market, namely employment, wages, and working conditions, to identify the main trends, challenges, and opportunities affecting the development of the Ukrainian woodworking industry. As a result of the research, it was found that after positive trends in employment growth in 2017–2019, there was a decrease in 2020, caused by the global pandemic. However, in 2021 the industry showed signs of recovery, which continued into 2022. Despite this, the war caused massive job losses, a personnel crisis, and a decrease in production activity. The main results of the research show that the average wage in the industry demonstrated steady growth from 2017 to 2022, indicating the efforts of employers to increase the competitiveness of the labor market. However, the war has made adjustments, and today the labor market experiences a shortage of skilled workers, requiring immediate action. The conclusions of the research emphasize the necessity of comprehensive state support for the woodworking industry, which should include financial assistance, reduction of tax burden, stimulation of investments, development of new markets, modernization of technology, and innovation. Attention is also focused on the importance of developing special programs to support employment and retraining of workers, as well as on the need to ensure the safety of workers and protect enterprises from hostile actions.
WAR AS A FACTOR OF INCREASING SOCIO-ECONOMIC DANGER IN UKRAINE
Authors:   Oles Honchar Dnipro National University, Ulyanova Ludmila , Chaika Yuliia ,   Oles Honchar Dnipro National University, Shchetynin Anatolii ,   University of Customs and Finance
Published: February 2024

The work examines the impact of the war on the state of the macroeconomic environment of the country and the daily life of people within it from the point of view of determining the degree of manifestation of socio-economic danger. The importance and relevance of the conducted analysis is substantiated, since its results are aimed at improving measures to reduce the level of socio-economic danger not only in the war, but also in the post-war periods. The study of existing scientific developments made it possible to note that modern theoretical achievements are more oriented to the study of approaches to the preservation of social and economic security through the use of potential opportunities of all factors within the limits of a certain economic system. At the same time, the presented scientific publications do not fully take into account the negative impact of external factors, in this case – war. The article presents the essential characteristics of socio-economic danger as the antithesis of security, it is noted that aspects of security and danger always coexist within the borders of any country, therefore it should be about increasing the level of security against the background of reducing the manifestations of danger. The tools for researching the state of the national economy are characterized, namely, complex diagnostic systems and indicators for determining the degree of manifestations of threatening processes in the economy. Based on the use of the latter, the most acute problems in the national economy were identified, related to the acceleration of the transformation of threats, as forms of manifestation of danger, from potential to real. In the work, it is calculated that in the war year 2022 there will be a significant drop in real GDP by almost a third. Tax revenues to the state budget have decreased significantly, especially taxes on the profits of enterprises. The reasons for the decline in production include the destruction of production facilities and energy infrastructure, logistical restrictions, including export restrictions, and the reduction of activity in almost all branches of the economy. Despite the destructive nature of the war, Ukrainian society quickly adapted to the difficulties of the war period and found reserves (internal and external) to counteract the danger from the aggression of the Russian Federation and accelerate the steps to victory.