bluuebunny/crossref_metadata_2025 huggingface dataset:
Facial Expression in Italian and French Opera Acting at the Turn of the 18th and 19th Centuries: Perspective of the Encyclopedic Sources
Authors: Lisecka Małgorzata
Published: January 2024

The expressive qualities of acting in opera – both French and Italian – in the 18th century were highly valued. My analysis will include comments made on this subject by J.J. Rousseau in his famous “Dictionnaire de musique”, followed by other encyclopedists of the late 18th and early 18th/early 19th centuries, especially French. Although it was agreed that correct singing technique was a sine qua non condition for performing an opera role, meeting this condition was only the beginning of a difficult path, the aim of which was to express affect using various stage means. I will show that the facial expression recommended to opera actors aimed primarily at presenting values consistent with bourgeois ethics and aesthetics derived from sentimentalism, in line with the new direction of development of opera theatre in social life, especially in France.
Capacidades de educación financiera en estudiantes de grados 10° y 11° en instituciones educativas en el municipio de Gualmatán, Nariño
Authors: Guerrero Dávila Darío Fernando , Miller Adrián Rosero Caipe Miller Adrián Rosero Caipe , Delgado Bolívar Arturo
Published: February 2024

El presente artículo es resultado de la investigación adelantada en la Maestría en Gerencia y Asesoría Financiera, titulada Análisis de las capacidades de educación financiera para estudiantes de grados 10° y 11° en instituciones educativas del municipio de Gualmatán, Nariño; se inscribe en el área de Educación empresarial.
SENSOR MQ-2 DETEKSI ASAP ROKOK BERBASIS INTERNET OF THINGS
Authors: Umar Nuraeni , A. K. Sahbuddin , Halide Lidemar , Rusjdi Maudy Imayanthi , Ijsam Ismah Afifah
Published: February 2024

Cigarette smoke contains toxic chemicals such as carbon monoxide (CO), nicotine and tar. The dangerous/poisonous ingredients in cigarettes cause health problems for those who smoke (active smokers) or those who don't smoke (passive smokers). To avoid the accumulation of cigarette smoke in the room, this research was created and carried out to detect cigarette smoke and reduce the levels of cigarette smoke in the room. Fan. will emit cigarette smoke into the room. The results of the detection of cigarette smoke levels will be sent to Labtop. This system was built using an MQ-2 sensor, ESP8266 microcontroller. The implementation of the cigarette smoke detection system is installed in 3 different rooms/places and is accessed by Internet of Things (IoT) network users. The research results show that every room where this system is installed will send data from cigarette smoke detection results to the lab. The MQ-2 sensor detects cigarette smoke, the data is sent to the internet network via the ESP8266, the data will be displayed on the laptop. From the sample test the tool responded well. This system will activate the fan at certain levels of cigarette smoke to reduce the level of cigarette smoke in the room. When the level is 0 ppm with the Green LED indicator on, the fan is not working or OFF. When the level shows 7 ppm the LED indicator lights up yellow and the fan will turn ON. For the red LED, the cigarette smoke level displayed is 32 ppm with the fan ON. These results prove that the system is functioning properly, detecting and controlling the operation of the fan to remove cigarette smoke from the room and transmit data to the internet network.
Design of Remaining Parking Space Prediction System of Smart Parking Lot Based on RFID Tag
Authors: Yue Qun , Jiang Kun , Liu ChengJun
Published: February 2024

due to the problems of large prediction error and inaccuracy in the parking space prediction system, an intelligent parking space prediction system based on RFID tag is proposed and designed. Firstly, the overall system structure is given, and the driver board, PC, camera, encoder, data preparation module, parking space detection module and path planning module are analyzed; In the process of software design, RFID tag positioning method is introduced to optimize the accuracy of the system in predicting the remaining parking spaces. The experimental results show that the system can effectively reduce the prediction error and improve the prediction accuracy.
Research on Named Entity Recognition and Knowledge Graph Construction Based on BERT-BiLSTM-CRF
Authors: Li Zhanlin , Yan Hui , Long Yunxin , Shi Yaqi , Guo Huangbin , Yu Ping
Published: February 2024

With the continuous improvement and development of question answering systems, combining them with knowledge graphs in relevant professional fields can relatively improve their practicality. Most existing knowledge graph models are general knowledge graphs with wide coverage, but their quality is poor, leading to issues such as loose data and low coverage, resulting in low coverage of professional knowledge matching in the Q&A process and often unsatisfactory answers. To address this drawback, this article proposes a named entity recognition method based on the BERT-BiLSTM-CRF model. This method can fully combine BERT’s context aware embedding, BiLSTM’s sequence modeling ability, and CRF’s label dependency modeling to improve the accuracy of identifying and annotating entities in text. Comparative experiments with different models have shown that the BERT-BiLSTM-CRF model outperforms the BERT-BiLSTM and BERT-CRF models in terms of accuracy. Therefore, the combination of knowledge graph and BERT-BiLSTM-CRF model applied to question answering systems can greatly improve the accuracy of knowledge extraction, make question answering scenarios more anthropomorphic, and reduce the probability of non answering situations.
Study on Virtual Evaluation of Far Side Occupant Protection Based on CNCAP
Authors: Guo Qingxiang , Wang Nan , Bu Xiaobing , Zheng Yanting , Tan WenXiao
Published: February 2024

Virtual evaluation technology can cover more crash test scenarios and reproduce real traffic accidents. With the progress of CAE technology, virtual evaluation technology begins to focus on the reliability and robustness of evaluation process and verification process. ENCAP and CNCAP plan to introduce virtual evaluation content into Far side occupant protection, which provides conditions for the implementation of Far side occupant protection virtual evaluation. Firstly, the paper determines the key factors affecting Far side occupant protection, and analyzes the characteristics of each factor by using the single factor analysis method, and further uses the orthogonal test and range analysis method to analyze the impact condition, impact angle, dummy type and seat adjustment. Finally, the virtual evaluation suggestions are given.
Question-and-Answer Juxtaposition Based Chat Model for Multi-Turn Medical Inquiry
Authors: Liu Yujiang , Fu Lijun , Xia Xiaojun , Chang Zhijun
Published: February 2024

AI chatbots talk to patients in multi-turn conversations in order to imitate real doctors and meet the patients’ needs during prior medical inquiries. However, existing works ignore the fact that doctors can convey two different tones answers to patients through feedback information, that is, question and statement. This inflexible method urges us to seek a new response strategy that outputs a tone indicator and uses it to limit the range of words output. In this paper, we propose a novel chat model based on question-and-answer juxtaposition (QAJCM), which simultaneously optimize three parts: the basic response, the generated counterpart, and the type of the basic response. These are all produced from the basic response, the real result. In specific, the model outputs a question, a statement, and a type to ensure that the type gives correct choice in the first two parts. Experiments on MedDG and HaoDF datasets show that the BLEU-average scores are up to 20.28 and 3.03, which are 45% and 49% higher than the baselines, respectively. According to the experimental results, we have made obvious improvements and verify that our work can respond to patients in a correct tone in the medical inquiry scenario.
Personalized Travel Route Recommendation Method Based on Knowledge Map
Authors: Ran Yan
Published: February 2024

The information provided by search engines lacks relevance and integrity, which is not conducive to the optimal travel route design. To solve such problem, a personalized tourism route recommendation strategy based on knowledge map is proposed. The scheme takes the personalized needs of users as input, and plans tourism routes according to the characteristics of the knowledge map in the tourism field. Then, through the integration of knowledge map and recommendation system, the recommendation performance is enhanced. The experimental analysis tests the rationality and effectiveness of personalized recommendation by using the representation route in the actual map. The experimental results based on real tourism big data show that it can consider multiple factors in personalized tourism, which is superior to similar algorithms in terms of hit rate and average reciprocal ranking.
IPv4 to IPv6 Transition Strategy Based on Dual Stack Protocol
Authors: Zhang Yanan , Fu Yanfang , Wang Qian
Published: February 2024

To consider the different environments of the network and select the appropriate transition mechanism, this paper studies the Intranet IPv6 network integration and transition platform based on campus network. We focus on the service migration of IPv4/IPv6, and propose the design idea of network integrated service architecture. Then, from the engineering point of view, a scheme for dual protocol to find the logical layer independent and the physical layer shared is put forward, and a network service topology that supports IPv4/IPv6 user access is also proposed. In the actual deployment process, the dynamic routing, address resolution, network connectivity, are configured accordingly, and the specific scheme is tested. The experimental results show that the scheme can realize the safe and fast access of IPv4/IPv6 network resources for Intranet users, and achieve the interconnection between IPv4 and IPv6 networks.
Intelligent Entry Method for Mobile Accounting Voucher Based on Image Recognition
Authors: Chen Yan , Zheng Fukang , Ouyang Jiaobao , Wang Yinfan , Xue Shan , Yu Huazhen
Published: February 2024

In order to improve the management efficiency of financial and accounting mobile business, and effectively reduce operational risk and operating costs, a method of accounting voucher recognition and entry based on image recognition is proposed. Android is taken as the main operating environment of the system. Then, in the image preprocessing part, the gray segmentation linear stretching, binarization, filtering and de-noising are adopted; In the OCR recognition stage, ResNET and CTC are used to recognize bill images and characters. Finally, through the completion of specific cases and the completion of training and testing of related functions, the experimental results show that the algorithm has good results in the natural scene of account recognition, which is helpful for the functional expansion of the accounting software under the mobile system.
Academic Literature Feature Extraction Based on Cluster Mining
Authors: Yuan Gang
Published: February 2024

To improve the efficient retrieval of internal knowledge in scientific research, a clustering mining model based on academic literature topic feature extraction is proposed. This scheme is based on the WBLDA algorithm and supplements the potential semantic correlation between literature features as the main content of digital resource integration before aggregation and its association with aggregation. Then, the obtained similarity matrix is used as the basis for generating correlation data to demonstrate the effectiveness of such methods in similar literature discovery. When preprocessing the features of the document set, the final clustering result is output based on the percentage of literature similarity in the search results, to compensate for the lack of similarity between text vectors. Finally, dynamic document technology is used to construct academic resource network associated data for empirical analysis of semantic retrieval of related literature. The experimental results show that the algorithm proposed in this paper effectively solves the vocabulary islands existing in traditional keyword retrieval, and it greatly improves the overall performance of the topic retrieval method.
Behavior Analysis of Learner Based on Big Data and Improved K-Means Algorithm
Authors: Zhu Ying
Published: February 2024

To promote intelligent decision-making and personalized learning under the background of educational big data, this paper establishes a learner behavior analysis model based on data mining technology. We integrate the action mechanism of learning activity flow to formally describe learners’ behavior and knowledge. Then, the behavior data in the online education platform for statistical analysis are collected integrated with the actual cases. An improved k-means algorithm is adopted to compute the feature weight of each index acquired by association analysis to complete the final clustering. The experimental results show that the proposed method has good prediction accuracy under the premise of the curriculum structure of the general environment and changing with time, and it has strong practical application value for the large-scale online teaching platform.
Library Information Resources Integration Based on Linked Data and Intelligent Recommendation
Authors: Mao Mao
Published: February 2024

To improve the disorder, sophistication, and lack of unified management of existing library resources, this paper proposes an information resource integration model based on linked data. We introduce the concept of relational data and its implementation conditions in the resource integration of digital library, by applying distributed comprehensive recommendation model and web mining model based on Agent technology to book information service system. Then, integrated with ontology and linked data technology, the library digital resources are organized hierarchically. In this method, the functions of user oriented information resource integration, query and recommendation are realized through RDF integration. The system test results show that the resource integration framework proposed by us can realize the full sharing of network resources by linked data technology, which effectively improves the quality of information service, and also realizes distributed intelligent search and personalized recommendation of book information resources.
Enterprise Financial Early Warning Model Based on Association Mining
Authors: Ye Mingqi , Lv Jing
Published: February 2024

To take effective measures to improve the company’s situation and prevent and resolve the occurrence of financial crisis, this paper establishes a simplified financial index system and tries to solve the problem of risk evaluation with data mining technology. We design a financial analysis and early warning system and sort out the indicator screening process. Then, the logistic regression analysis method is adopted to preprocess the acquired samples and the association mining optimized by k-means is used to obtain more accurate early warning data. The experimental results show that the current liability ratio and return on equity of the model are more predictive than cash flow indicators in the selection of financial indicators, which is of great significance to the healthy and sustainable development of enterprises.
A Comprehensive Evaluation Method for Physical Education Teaching Quality Based on Fuzzy Clustering
Authors: Gu Bin , Wei Bangming
Published: February 2024

Physical education curriculum evaluation is an important aspect of physical education teaching, and there are multiple uncertain factors in the evaluation process. This article proposes a comprehensive evaluation method for physical education teaching quality based on fuzzy clustering, contraposing to the characteristic that traditional fuzzy comprehensive evaluation cannot reflect the dynamic changes in physical education teaching quality. Our plan comprehensively considers the impact of teaching system and student learning system on the quality of physical education teaching, and establishes a comprehensive evaluation index system. Then, the teaching situation of the evaluated teachers is appropriately classified, and a fuzzy dynamic clustering model for evaluating teacher teaching quality is also constructed. The final weight of factors acquired through fuzzy classification is used to determine the ranking structure of teachers’ teaching quality. The case analysis shows that the clustering analysis method in this article can clearly reflect the significant differences in the teaching quality of teachers, effectively realizing the diagnostic function of physical education teaching evaluation, and providing a basis for information feedback with different teaching characteristics.
A Financial Accounting Voucher Recognition Strategy Based on Deep Learning
Authors: Yang Yongpeng , Li Hong , He Xiangjun
Published: February 2024

In order to improve the accuracy and efficiency of paper financial reimbursement vouchers, a deep learning based automatic recognition strategy for financial accounting vouchers is proposed. This article designs the basic process of deep learning for image classification and text recognition, and establishes invoice image datasets for training CNN networks. Next, parameter design is performed on the AlexNet network structure, and the trained network model is used to improve the digital recognition method. The experimental part of the text annotation system collected multiple invoice text recognition datasets, and the optimized model is subjected to network training and testing experiments on the dataset. The test results show that the detection accuracy of specific fields in the invoice image reaches over 95%, and the single item recognition rate of each field reaches about 95%. The model accuracy and inference speed can meet the performance requirements.
BotHunter: Distributed Malicious Domain Name Detection Model Based on Deep Learning and Blockchain
Authors: Gao Feng , Han Wenbao , Ou Wei
Published: February 2024

With the advancement of network technology, network security threats continue to grow, and enterprises’ intranets are increasingly vulnerable to bot-nets. At the moment, botnets use the Domain Generation Algorithm (DGA) to produce a huge number of random domain names in order to avoid detection by security workers, rendering static filtering ineffective. While machine learning-based solutions for intelligent DGA domain name recognition have evolved, classic machine learning algorithms still require human feature extraction and have a number of drawbacks. To this end, we have distributed a harmful domain name detection model based on deep learning and Blockchain technology. The model is able to provide a trusted data exchange environment using Blockchain and IPFS technologies to prevent malicious tampering of DNS resolution traffic. The LSTM method was introduced to distinguish DGA domain names, and its algorithm characteristics are congruent with the DGA discriminating job, where it is generally superior to traditional machine learning algorithms in all metrics of the experimental setting. This model’s incorporation of deep learning and Blockchain technology into DGA domain name detection not only increases the detection model’s efficiency but also provides the model with a very high level of security and intelligence.
Heterogeneous Data Integration and Transformation Scheme Based on XML and Agent
Authors: Xing Lei
Published: February 2024

In order to solve the problem of data integration and sharing in heterogeneous databases, a heterogeneous database integration and transformation scheme based on Agent and XML is proposed. This model utilizes XML technology to construct a middleware between the client and database server, using mobile agents as the logical model framework to handle the autonomy and distribution issues of member systems in multi database systems. Then, the communication problem in the middleware system is solved by encapsulating the sent KQML message into an XML format document. The system testing results demonstrate that each Agent in this method can independently complete their own functions and cooperate with each other, which effectively solves the problem of intelligent integration of local database data, and it also has good adaptability to complex network environments.
Crow search algorithm with deep transfer learning driven skin lesion detection on dermoscopic images
Authors: Mishra Awanish Kumar , Diwan Tarun Dhar , Gupta Indresh Kumar , Agrawal Sonu
Published: February 2024

The early diagnosis of skin cancer is of paramount importance for effective patient treatment. Dermoscopy, a non-surgical technique, utilizes precise equipment to examine the skin and plays a crucial role in identifying specific features and patterns that may indicate the presence of skin carcinoma. In recent times, machine learning (ML) methods have been developed to recognize and classify dermoscopic images as either malignant or benign. Deep learning (DL) systems, including Convolutional Neural Networks (CNNs), as well as various ML models like Random Forest (RF) classifiers and Support Vector Machine (SVM), are employed to extract relevant features from these images. This study introduces the Crow Search Algorithm with Deep Transfer Learning Driven Skin Lesion Detection on Dermoscopic Images (CSADTL-SLD) technique. The CSADTL-SLD method starts with the application of a median filter (MF) to remove noise from the images and utilizes the GoogleNet model for feature extraction. GoogleNet is well-regarded for its capacity to capture intricate and meaningful patterns within the data, which are essential for accurate lesion characterization. Furthermore, the CSADTL-SLD technique applies the Crow Search Algorithm (CSA) for parameter tuning of the GoogleNet model. After feature selection, the system employs the MLP classification model for precise lesion categorization. The comprehensive results of this research demonstrate the superiority of the CSADTL-SLD algorithm, showing significant enhancements in skin lesion detection accuracy and robustness when compared to existing methods. This approach holds promise as an effective solution for automating the detection and classification of skin lesions in dermoscopic images.
Ensuring cybersecurity for industrial networks: A solution for ARP-based MITM attacks
Authors: Bruschi Danilo , Di Pasquale Andrea , Lanzi Andrea , Pagani Elena
Published: February 2024

The increased adoption of the Internet Protocol (IP) in ICSs has made these systems vulnerable to the same security risks that are present in traditional IT environments. The legacy nature of ICSs and their unique operational requirements make them vulnerable to security threats that are different from those in IT environments. In this paper, we describe a protocol, named ArpON, which is able to wipe out in quasi real time any ARP cache poisoning attempt, thus making it ineffective. Contrarily to solutions presented in the literature for contrasting ARP cache poisoning, ArpON incurs in low operational costs, is backward compatible, transparent to the ARP protocol and does not use any HW feature nor cryptography functionality. We also model and validate ArpON in the OMNET[Formula: see text] network simulator. The simulation results show that ArpON is effective in avoiding ARP poisoning, and its communication overhead is negligible with respect to classical ARP protocol.
Co-supplementation of synbiotics and anti-inflammatory-antioxidant rich diet in patients with progressive forms of multiple sclerosis: A single-center, randomized clinical trial
Authors: Moravejolahkami Amir Reza , Chitsaz Ahmad , Hassanzadeh Akbar , Paknahad Zamzam
Published: February 2024

BACKGROUND:

The relationship between dietary modification and Multiple Sclerosis (MS)-related disability has been emphasized in several researches.

AIMS:

To determine whether a co-administration of anti-inflammatory-antioxidant rich diet and synbiotics might improve clinical manifestations in progressive MS patients.

METHODS:

The study involved 70 patients with progressive MS (primary-progressive, secondary-progressive, and progressive-relapsing) who were randomized to receive either intervention (synbiotics capsule plus an anti-inflammatory-antioxidant-rich diet) or placebo. Quality of Life (QOL), Expanded Disability Status Scale (EDSS), and depression-anxiety scores were evaluated before and after the follow-up. Analysis of covariance was performed for final analysis (SPSS v.14).

RESULTS:

Significant reductions were seen in EDSS (2.6±1.1 to 2.4±1.0, P < 0.001), State Anxiety Inventory (53.7±10.3 to 47.8±10.6, P < 0.001), and QOL scores after four months of intervention. No significant difference was seen across the depression severity ( Δ for intervention = –2.2±5.5 vs. Δ for control = –0.6±5.7; P = 0.264).

CONCLUSION:

This study demonstrates that a combination of synbiotics and diet could be a promising strategy to improve severity and clinical manifestations of progressive MS.
Use of a job exposure matrix to predict the risk of work disability in individuals with back pain: An inception cohort study
Authors: Fauser David , Zimmer Julia-Marie , Banaschak Hannes , Golla André , Sternberg Annika , Mau Wilfried , Bethge Matthias
Published: February 2024

BACKGROUND: Low back pain has a high economic burden in Germany due to back pain-related sick leave, disability pensions, and health care utilization. Work-related factors can predict disabling back pain. Job exposure matrices can be used to consider job demands and occupational characteristics in routine data analysis. OBJECTIVE: This longitudinal analysis tested whether rehabilitation utilization due to musculoskeletal disorders is associated with occupation-linked job exposures in employees with back pain. METHODS: Data from a German cohort study were used, including employees aged 45 to 59 years with self-reported back pain in the last three months. Individuals’ job titles were assessed in the baseline survey in 2017 and matched with parameters of aggregated job exposure indices. Administrative data from the German Pension Insurance were used to extract information on rehabilitation utilization. Proportional hazard models tested the associations. RESULTS: We considered data of 6,569 participants (mean age: 52.3 years; 57.7% women). During follow-up, with a maximum of 21 months, 296 individuals (4.5%) utilized medical rehabilitation due to musculoskeletal disorders. Adjusted analyses showed that high physical (HR = 2.87; 95% CI 1.74; 4.75) and overall (HR = 2.34; 95% CI 1.44; 3.80) job exposures were associated with a higher risk of rehabilitation utilization. CONCLUSION: Individuals with back pain working in occupations with high physical job exposures have a higher risk for rehabilitation utilization. To prevent work disability in individuals with back pain, occupational groups with high physical job exposures should be actively informed about tailored intervention options.
Validated RP-HPLC Method for Organic Impurities in Aripiprazole Tablets and Drug Substance
Authors: Gosu Nageswara Reddy , Reddy C Raghunatha
Published: January 2024

BACKGROUND: RP-HPLC gained recognition as an analytical technique due to its versatility in separating multiple components within a single chromatographic run.

OBJECTIVE: The study aimed to establish a precise method for quantifying Aripiprazole in both the topical formulation and the active pharmaceutical ingredient. This involved creating a robust HPLC assay for analyzing the topical formulation. Aripiprazole is frequently prescribed for psychiatric disorders.

METHODS: Aripiprazole was separated using an Inertsil ODS column (150 mm×4.6 mm, 5 μm) with a gradient elution method employing two mobile phases. Mobile Phase-A, likely pH-adjusted aqueous solution, started at 85%. Flow rate: 1.5 mL/min. Gradient: 10 min at 70%, 15 min at 65%, 18 min at 65%, 24 min at 50%, 34 min at 40%, returning to 85% at 35 min, concluding at 45 min.

RESULTS: The method employed UV detection at 252 nm, matching Aripiprazole's likely absorbance peak, facilitating quantification. Calibration plots showed linearity from LOQ to 125% of the range. LOD was 0.03 µg/mL, ensuring reliable detection. LOQ at 0.15 µg/mL allowed precise quantification, suitable for pharmaceutical quality control.

CONCLUSION: In summary, the HPLC method is tailored for aripiprazole tablet analysis, prioritizing the detection of organic impurities. It employs gradient elution with two mobile phases, UV detection, and offers a wide linear calibration range, low detection and quantification limits, high recovery, and minimal relative standard deviation (RSD). This renders it highly suitable for pharmaceutical quality control and testing.
Can the Notion of ‘Transformative Thought Leadership’ Solidify Peace in Kenya?
Authors: Onditi Francis
Published: February 2024

Although literature on _leadership _is saturated with schools of thought ranging from _essentialism_, _rationalism_, _critical theorists_ to _constructionism_, however, none of these scholarships provide analysis on linkages between the notion of _transformative thought leadership_ and gender equality as an integral part of political participation and peacebuilding processes. At a policy level, normative frameworks exist on inclusion of women in decision-making processes, yet participation of women remains ‘firsts’ and not ‘standard norm.’ In Kenya, although promulgation of the 2010 constitution marked a significant turning point for consolidating women’s participation in decision-making processes, representation of women in elective positions remains dismally at 19.7 per cent. Efforts by UN Women in a partnership with Kenyatta University to build a critical mass of women and youth leaders through the _African Centre for Transformative and Inclusive Leadership_ (ACTIL) however, seem to experience _insolvenc_y, owing to several structural forces, including lack of shared vision among collaborating institutions.
Targeting the Warburg Effect with Glucose Mutation Theory in Post-Cystectomy, Chemotherapy-Contraindicated Cases: A Case Study of a 72-Year-Old Female Treated with Glucosodiene Over a 20-Day Period
Authors: Ahmed Amr , Akl Maher M.
Published: February 2024

This manuscript delves into the intricate landscape of bladder cancer, highlighting the challenges of early detection and the nuanced considerations involved in chemotherapy decision-making based on patient-specific factors. The Maher Akl's groundbreaking Glucose Mutation Theory, presenting Glucosodiene as a promising breakthrough. The case presentation meticulously details the journey of a 72-year-old woman diagnosed with high-grade papillary urothelial carcinoma, spanning from initial diagnosis to postoperative outcomes. In the face of Bacillus Calmette-Guérin (BCG) therapy failure, Glucosodiene emerges as a safe and reliable alternative, offering a novel and effective treatment avenue, especially in cases where traditional chemotherapy is contraindicated. This approach advocates for Glucosodiene as a primary therapeutic option after the shortcomings of conventional treatments, instilling confidence in its efficacy and safety, particularly for cases deemed ineligible for chemotherapy.
Maternal Mental and Physical Problems During COVID-19 and Its Effects on Newborns
Authors: Khalili Mahdi , Ghasemi Shayan Ramin
Published: February 2024

Mental problems are common during pregnancy, but in the time of the COVID-19 era, they have increased and due to quarantine and social distancing, they have more destructive effects on pregnant women. Also, COVID-19 can have destructive effects on the growth and development of the fetus or baby by affecting different systems. Therefore, during this period, it is necessary to check any mood changes in the pregnant woman, and in case of illness, she must be under the supervision of a doctor to minimize the amount of damage. We assessed types of mental health issues and evaluated their causes and results. Also, the ways of transmission of COVID-19 from mother to baby were investigated. We also examined the problems created by SARS-COV-2 for the baby and categorized their effects and symptoms. The effects on babies can be caused in various ways, such as through the placenta or amniotic fluid, etc. Any changes in the fetus and newborn should be evaluated and recorded, and necessary measures for prevention and treatment should be taken.
Pelatihan Pembuatan Pupuk Organik Cair Berbahan Urin Kelinci di Desa Abung Jayo Kecamatan Abung Selatan
Authors: Lestari Sri Puji , Bakti Aji Setiya , Sari Yuni Elmita , Ilmiasari Yeyen , Harini Nyang Vania Ayuningtyas
Published: February 2024

Petani sayur di Desa Abung Jayo menyadari bahwa lahan yang digunakan untuk berusahatani sayuran telah mengalami kerusakan.  Penggunaan input berbahan kimia dalam jangka panjang menjadi salah satu penyebab menurunnya kualitas lahan.  Penggunaan pupuk organik merupakan salah satu upaya yang dapat dilakukan petani untuk mengatasi kerusakan lahan.  Salah satu jenis pupuk organik adalah pupuk organik cair (POC).  Pupuk organik acair dapat dihasilkan dari limbah hewan ternak yaitu urin. Urin mengandung unsur yang dibutuhkan tanaman yaitu Nitrogen (N), Phospor (P), dan Kalium (K). Urin kelinci memiliki kandungan unsur N, P, dan K yang lebih baik dibandingkan hewan ternak lainnya. Tujuan kegiatan pengabdian ini adalah untuk memberikan keterampilan kepada petani sayur di Desa Abung Jayo agar dapat memproduksi sendiri POC dan memanfaatkan limbah dari hewan ternak yaitu kelinci.  Metode pelatihan yang digunakan adalah metode Participatory Action Research (PAR).  Peserta membantu menyiapkan bahan, dan mempraktekkan langsung cara membuat POC dengan bimbingan pengabdi.  Peserta antusias mengikuti kegiatan ini dan tertarik untuk mengaplikasikan POC pada tanaman sayuran yang ditanamnya, karena dari hasil pengujian menunjukkan efektivitas POC berbahan dasar urin kelinci.
The history of the formation of industry publications in the Kyzylorda region
Authors:   Korkyt ataKyzylorda University, Abdrazakhova A.K. , Ermaganbetova Z.N. ,   Korkyt ataKyzylorda University, Sembiyeva G.M. ,   Korkyt ataKyzylorda University
Published: February 2024

Today, a sufficiently developed reader chooses a publication that provides informative and expert information according to his interests, tastes, culture and level of education. In recent years, we can see that the demand for industry journalism has increased more than universal journalism. That is why it is one of the most important issues to differentiate mass media in our country and region and consider effective ways to increase the number of readers. The author points out that the market of modern periodicals is filled with newspapers and magazines of different directions, topics, formats, sizes, and regional industry press occupies a special place among this diversity. It is clearly shown that it is the main source of information in the districts and regions, a center of socio-cultural relations, coordinating the life of the local population and forming public opinion. The article examines the originality, formation, development history, functional purpose of the modern regional press, and defines and analyzes the current face of the press in the Syr region. It is shown by examples that the regional press plays a great role in strengthening and improving the independence of the state. Based on the fact that the periodical press is going through a period of complex transformation, the author of the article concludes that in order to effectively implement their activities, regional publications need to stimulate the civil activity of regional readers, in addition to showing the truth and increasing the quality of information products.
Features of business journalism in Kazakhstan
Authors:   L.N. Gumilyov Eurasian National University, Rakhmet K. , Yertassova G. K. ,   L.N. Gumilyov Eurasian National University
Published: February 2024

The author evaluates the study of business journalism in Kazakhstan, development of a significant layer of entrepreneurship, emergence of a new business environment, the works of scientists who deal with the mass media related to the business information sector, as well as the activities of such groups active in the contemporary society as business journalism. Conditionally, the author categorizes business media and quotes foreign scholars and traditional media experts. It also provides examples of new media expressions in domestic journalism. The researchers underline the usefulness of the information presented. Notes the fundamental task and goal, as well as the uniqueness of business media. Analyzing on a scientific basis and drawing conclusions about the impact of new media on a person in the digital age, it is possible to plan and carry out the trajectory of society’s development in accordance with national interests. the Kazakh language that have studied the national audience of new media, will contribute to the development of necessary recommendations for the development of the state and society. The scale and main features of the audience of Kazakh-language Internet resources, the features of the content and forms of media products that interest the audience have not been scientifically studied. We consider the systematic study of these problems, which are raised for the first time in doctoral work, to be the innovation of scientific work. The purpose of the dissertation is to analyze the formation and development of business journalism in the field of Kazakh mass media. Definition, differentiation, study of a place in the future. Focus on the work of yesterday’s and today’s business media, study their audience, quality, level of materials, level of transmission.
New trends in modern journalism
Authors:   Al-Farabi Kazakh National University, Zhetpisbaeva M.S. , Kutpanbayeva Zh.B. ,   Al-Farabi Kazakh National University, Mussayeva B.A. ,   Al-Farabi Kazakh National University
Published: February 2024

Since the creation of new media, this industry has not lost its relevance, but, on the contrary, is in demand as an object of research. The reason for this is that, along with its own functions of the media, it makes a significant contribution to the development of the world of spirituality. The new trend creates interactivity, flexibility, speed, fragmentation of the audience and convergence of many environments within it. Virtual movement through social and intellectual spaces, the emergence of cybernetic culture, and the infinity of knowledge creation and dissemination have increased. It can be a means of personal and mass communication. The subject of this article is the study of the links between online journalism and new media journalism, the influence of a dynamic environment on traditional journalism and the process of creating new signs of the profession. The phenomenon of objectivity associated with this type of journalism is discussed. New trends in modern journalism will be studied in detail using methods of comprehensive analysis, differentiation and new methods of modern journalism that control the flow of information in the era of the global era will be considered. In addition, when studying the trends of modern journalism, the focus is on business strategies, the creation of new business models, marketing and branding strategies. For example, although debates in Japan are an “internal conversation” in the media industry, there are many interesting surveys and studies on the connection between the Internet, journalism and democratic society in Western countries. For example, the Pew Research Center, a nonprofit social research organization in the United States, has been studying the impact of the Internet on journalism and society for more than 10 years. As a result, a large amount of data was collected at the Pew Internet & American Life Project research centers, and extensive discussions and research unfolded using them.
ВПЛИВ КОНФЛІКТУ ІНТЕРЕСІВ НА РОЗВИТОК ДЕРЖАВНОЇ СЛУЖБИ В УКРАЇНІ
Authors: КУЧМЕНКО Віталій , ФЕСЕНКО Павло
Published: January 2024

Події, які відбуваються на території нашої країни обумовлюють необхідність підвищення ефективності роботи усіх державних організацій. Саме завдяки довірі суспільства до публічних інституцій є необхідною визначальною умовою ефективного функціонування демократичної правової держави. Враховуючи значну кількість зовнішнього впливу на діяльність органів державної влади рівень довіри знижується. Зниження рівня такої довіри є красномовним показником погіршення якості публічно-правової діяльності, а наявність конфлікту інтересів в організаціях – роблять цей процес незворотнім. Оскільки державна служба є основним владним інститутом, що здійснює функції державного управління із підготовки та виконання управлінських рішень, за допомогою яких відбувається реалізація державної політики, підтримка рівня довіри (не залежно від обставин) є пріоритетним напрямком розвитку. Специфіка роботи державних службовців створює можливості для існування суперечливих інтересів: індивіда, соціальних груп, суспільства та самої держави. У разі зіткнення яких, в управлінському процесі, спричиняє виникнення різноманітних конфліктних ситуацій. Саме конфлікт інтересів є специфічним видок конфліктів державної служби, які мають не аби який вплив на її функціонування та розвиток. Саме тому, під час написання статті, значна частина уваги присвячена дослідженню визначення поняття конфлікту інтересів, наведено аргументи щодо необхідності розмежування понять «потенційний конфлікт інтересів» та «реальний конфлікт» інтересів, визначено необхідність застосування заходів попередження виникнення будь якого конфлікту. Задля мінімізації впливу конфлікту інтересів на розвиток державної служби перераховано основні заходи врегулювання конфлікту інтересів, а саме: усунення особи від виконання завдання, вчинення дій, прийняття рішень чи участь у його прийнятті в умовах реального чи потенційного конфлікту інтересів; застосування зовнішнього контролю за виконанням особою відповідного завдання, вчиненням нею певних дій чи прийняття рішень; перегляд обсягу службових повноважень особи; обмеження доступу особи до певної інформації; переведення особи та іншу посаду; звільнення особи.
ADAPTIVE AND PRODUCTIVE POTENTIALS OF SPRING GARLIC OF THE COLLECTION OF UMAN NATIONAL UNIVERSITY OF HORTICULTURE
Authors: Yatsenko V. V. , Yatsenko N. V. , Ulianych O. I. , Mostoviak I. I. , Karpenko V. P.
Published: January 2024

Among vegetables, garlic is most susceptible to genetic erosion due to no sexual reproduction. Purpose. To evaluate the genotypic and phenotypic diversity of local forms of spring garlic in the forest-steppe of Ukraine in order to identify valuable specimens for the following characteristics: yield, adaptability, and essential oil content. Methods. In 2018–2022, 12 local and introduced forms of spring garlic were studied in the field. To analyze the data obtained, regression analysis was used to determine the stability and plasticity of the cultivars. Results. The variability of the spring garlic bulb weight was medium (CV = 13%), however, in some accessions, this characteristic varied from 12% to 37 %. Accessions 'No. 33', 'No. 44', and 'No. 55' had significantly greater bulb weights than the mean value: 27.01–28.84 g (+11.9–19.4 % to Xmed). Analyzing the number and size of cloves in the bulb, we selected accessions 'No. 14' and 'No. 33', which had the smallest total numbers of the largest cloves. In general, the clove distribution in the bulb was as follows: 56% of small cloves, 39% of medium-sized cloves, and only 5% of large ones. That is, in the studied sample, there was no accession with a preponderance of large or medium-sized cloves. By essential oil content, the studied accessions were categorized as food cultivars with a minimum content of 0.220–0.253 mg/100 g ('No.', No. 14', 'No. 52', ' No. 53', and 'No. 54') and technical ones with a high content of 0.370 and 0.373 mg/100 g ('No. 43' and No. 57', respectively). By yield, 'No. 33', 'No. 44', and 'No. 52' stood out, yielding 8.94, 9.95, and 9.07 t/ha, respectively, which was statistically significantly more than Xmed by 18.7, 32.2 and 20.4%, respectively. Statistical analysis showed that 'No. 14' was the most stable in terms of this characteristic, while the other accessions were characterized as unstable with bi > 1 and σ2d > 0. The results of statistical processing showed that the phenotypes (CVp) of the studied traits in garlic were characterized by high heritability, which was changeable and depended on environmental conditions (CVe) to a greater extent than on genotype (CVg). Conclusions. Our study is an example of a description of the variability of local spring garlic cultivars and an approach to quantification of local adaptation that currently contributes to their preservation.
MEDIUM COMPOSITION FOR IN VITRO MID-TERM STORAGE OF SOLANUM HABROCHAITES TEST-TUBE PLANTS
Authors: Miroshnichenko T. M. , Ivchenko T. V. , Bashtan N. O. , Mozgovska H. V.
Published: January 2024

Purpose. To investigate effects of osmotically active substances on the growth and development of isolated microcuttings of the wild tomato species S. habrochaites Knapp & Spooner and to determine an optimal composition of nutrient medium for their mid-term storage in vitro. Methods. General scientific, laboratory, biotechnological, measuring, statistical. Results. Possibilities of subcultivation-free storage of S. habrochaites (line BK-78) microcuttings in Murashige & Skug medium with different concentrations of sucrose (30, 60, 90 and 120 g/L), agar-agar (6, 9, 12 and 15 g/l) and sorbitol (0, 20, 40 and 60 g/L) for 30 (control), 90, 180 and 270 days under standard cultivation conditions were researched. The survivability, height, number of leaves, and root length in regenerants on different modifications of the medium were determined. There was an inversely proportional relationship between the percentage of viable regenerants and the time of in vitro storage without subcultivation on all variants of the medium. The maximum survivability of explants was achieved on the medium supplemented with 60 g/L of sorbitol (100.0 – 66.7% depending on the storage period), the minimum - on the medium containing 120 g/L of sucrose (40.0 – 22.5% ). A significant effect of the medium composition on the plant growth intensity was observed in the variants with 20, 40, or 60 g/L of sorbitol and 90 or 120 g/L of sucrose. Sorbitol-containing media also caused a 2- to 7.5-fold decrease in the mean height of regenerants and a 2.4- to 2.5-fold decrease in the number of leaves compared to the control. The root length of test-tube plants did not depend on the medium composition, except for the variants with 60 g/L of sorbitol and 120 g/L of sucrose. On media with increased agar-agar concentrations, the rate of explants development did not decrease, so these media are unsuitable for mid-term storage of in vitro collections. Conclusions. Among the studied medium modifications, the nutrient medium MS supplemented with 60 g/L of sorbitol turned out to be the most effective formulation for slow growth and mid-term storage of S. habrochaites regenerants, as it allows 66.7% of viable explants to be preserved for 270 days. However, through the lens of hyperhydration of test-tube plants, further optimization of in vitro storage conditions for this species is needed.