bluuebunny/crossref_metadata_2025 huggingface dataset:
Coping Strategies for the Inclusion of People with Disabilities in Education: A Sociological Study
Authors: - Amanpreet Kaur
Published: September 2024

The societal concern surrounding the inclusion of people with disabilities holds significant weight, given that this marginalized group faces a myriad of barriers on a global scale, impeding their active participation in the political, economic, and social advancements of nations. This paper explores the pivotal role of inclusive education in achieving social inclusion. Its primary objective is to delve into how inclusive education strives to ensure that every student, irrespective of their abilities, enjoys access to quality education. This access is aimed at addressing their diverse needs in a manner that is not only acceptable but also respectful and supportive. Despite the implementation of numerous governmental schemes geared towards fostering the inclusion of these individuals in educational settings, the realization of full inclusion remains elusive. The present paper also explores national and international initiatives, as well as coping strategies, designed to integrate people with disbailities into mainstream society. By scrutinizing these efforts, the paper seeks to contribute valuable insights that can inform future endeavors to create a more inclusive and equitable educational environment for individuals with disabilities.
Landscape phenology, vegetation condition, and relations with climate at Bryce Canyon National Park: 2000?2019
Authors: Thoma David , Gareis Jolie , Thoma David , Gareis Jolie
Published: September 2024

Climate determines the vegetation composition in parks and climate change will affect vegetation condition and composition in the future. This study evaluates vegetation sensitivity to weather and climate for the purpose of understanding climate-vegetation relationships that can be used to understand what vegetation types may change. Specifically, it evaluates where change is likely, when change may happen and why change may occur. This information is needed to help avoid surprises and can be used to help plan for inevitable change. Satellite images were analyzed with climate data to quantify vegetation sensitivity to climate and drought tolerance. Historic trends in vegetation production and phenology were evaluated and analysis with climate data identified which aspects of climate were most important to annual production and phenology for different vegetation types. Additionally, trends in climate and climate drivers of vegetation phenology were also identified. Finally, the information generated in this study was placed in the context of a climate adaptation planning framework to demonstrate how it can be used for long-range planning.
Hubungan antara Status Gizi Ibu dengan Kejadian BBLR pada Kehamilan Aterm di RSUD Kabupaten Bekasi Tahun 2018
Authors: Tridiaywati Feva , Mariyani
Published: September 2024

Angka kejadian BBLR di Indonesia adalah sekitar 11,1 persen pada tahun 2017. Tahun 2017 angka BBLR di Indonesia memang sedikit menurun, yaitu mencapai 10,2 persen, dengan prevalensi tertinggi ditempati oleh Propinsi Nusa Tenggara Timur (19,2 persen) dan terendah di Propinsi Sumatra Barat (6 persen) (UNICEF, 2011; Riskesdas, 2013). Menurut data  Laporan Program Kesehatan Anak Provinsi Jawa Barat Tahun 2010 – 2012, jumlah kematian neonatus yang dilaporkan di Jawa Barat mencapai angka 3.624 dan kematian bayi mencapai 4.650. Untuk Untuk mengetahui hubungan antara status gizi ibu dengan kejadian Bayi Berat Lahir Rendah pada kehamilan aterm di RSUD Kabupaten Bekasi Periode Januari-Maret tahun 2018. Metode penelitian yang digunakan adalah analitik deskriptif, Populasi dalam penelitian ini adalah seluruh ibu yang bersalin di RSUD Kabupaten Bekasi Periode Januari-Maret 2018 dengan jumlah sampel sebanyak 53 orang. Berdasarkan dari hasil penelitian didapatkan hasil terbanyak pada status gizi ibu kurang yaitu sebanyak 37 orang (69,8%) dan didapatkan hasil terendah pada status gizi ibu normal  yaitu sebanyak 16 orang (30,2%).
Analyzing and assessing the environmental impacts of energy production
Authors: Berca Marius , Tulbure Ildiko
Published: September 2024

Humanity’s vision of designing energy production technologies by using diverse energy resources has been oriented to steadily increasing its quality of life. Registered developments have however emphasized that economic activities can have besides positive desired impacts on humanity’s quality of life negative undesired effects. In the present time of sustained debates regarding appropriate energy supply systems needed to be designed in the future, it is relevant to consider not only the availability of corresponding needed energy resources but also their environmental impacts. The process of analyzing and assessing the environmental impacts of energy supply systems must be carefully carried out by considering fossil fuels and more recently renewable energy resources. In this context, an environ-mental impact analyzing model because of using energy resources must be coupled with an assessing model finally resulting in an integrative model. Applying a designed integrative model future usage odds of energy resources will be shaped by considering the currently debated European Green Deal to ensure sustainable energy production.
The potential for reuse of electrical and electronic equipment. consumer behaviour
Authors: Banaszkiewicz Kamil , Pasiecznik Iwona , Rzepka Marcin
Published: September 2024

Waste electrical and electronic equipment (WEEE) is one of the fastest-growing waste streams. Technological progress and the failure rate of existing equipment are among the main factors that in-fluence the frequency of replacement. The resulting electronic waste, according to the law in force, should be subjected to recovery processes, especially recycling. A key element in the management of WEEE is its collection. The objective of the study was to assess consumer attitudes towards the purchase and use of second-hand appliances and to verify the above-mentioned behaviour according to age, gender and place of residence. The study also analysed consumers’ propensity to store unused appliances. Due to advances in technology, periodically hibernating them reduces the possibility of reusing them in the future. The storage of appliances also negatively impacts the increase in demand for virgin raw materials. Research showed that still few respondents (37.3%) choose to purchase used equipment. Most respondents (26.4%) choose to buy IT equipment. The main reason for purchase is their price. In addition, home storage of equipment is still common (63.7% of respondents).
Integrated geospatial assessment and geovisualization of water and sediment quality in an artificial lake. Insights from Sferk, Klina, Kosovo
Authors: Demaku Skender , Jusufi Kaltrina , Maliqi Edon , Shabani Enis
Published: September 2024

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Investigation of the effects of coal properties, environmental conditions, and costs on coal drying method selection using multi-criteria decision-making method (AHP)
Authors: Demir İsmail , Adiguzel Deniz , Tuylu Serkan , Ozkan Safak G.
Published: September 2024

In this study, coal properties and environmental characteristics were investigated, and the most suitable coal drying method was determined for four different regions (Armutcuk, Afsin, Can, and Soma) where Türkiye's significant coal reserves are located, using the AHP method (Analytical Hierarchy Process). Installation and operating cost, drying rate, environmental risk, and land area parameters were used as selection criteria in the AHP method. After analyzing the physical and chemical properties of coals from four different regions, changes in moisture content and drying costs were calculated according to various drying methods (rotary, microwave, solar, and air). The results indicated that the solar energy data of the regions were determined to be 1315, 1610, 1400, and 1444 kWh/m²-year for Armutcuk, Afsin, Can, and Soma, respectively. Accordingly, solar energy drying systems are expected to be preferred in regions with high solar energy. However, with the effect of other selection criteria, it was determined that although the Can region receives less solar energy than the Soma region, the microwave drying method should be used for the coal of the Soma region, and the solar energy drying method should be used for the coal of Can region. Microwave and solar energy methods should be preferred for drying the coals of the Armutcuk and Afsin regions, respectively. As in many sectors, multi-criteria decision-making methods are necessary for optimum equipment/method selection in the mining sector. In conclusion, this study showed that the AHP method can be used when appropriate criteria are thoroughly determined.
Recurrent Giant Parasagittal Meningioma WHO Grade I: A Case Report Highlighting the Challenges of Management and the Role of Molecular Markers
Authors: Sumargo Sheila , Selfy Oswari  , Guata Naibaho  , Roland Sidabutar
Published: September 2024

Background: Meningiomas are common intracranial tumors, but their recurrence, especially in giant parasagittal locations, presents significant management challenges. This case report underscores these challenges and emphasizes the potential role of molecular markers in improving prognostication and treatment strategies.
Case presentation: A 31-year-old female presented with recurrent giant parasagittal meningioma WHO Grade I. She underwent multiple surgeries and embolizations due to persistent tumor regrowth despite histologically benign features. The tumor's location, size, and involvement of critical structures posed surgical difficulties, highlighting the limitations of current management approaches.
Conclusion: This case emphasizes the need for a more nuanced understanding of meningioma recurrence beyond histological grading. Molecular markers may offer valuable insights into tumor behavior and guide personalized treatment decisions, potentially improving outcomes for patients with recurrent meningiomas.
Embracing Technological Advancement: Assessing the Impact of Innovation on Sectorial Employment in Tanzania
Authors: Mbwambo Seth Kenedi , Mathew Rehema Reuben , Vedasto Valence Chinaboine
Published: September 2024

Technological innovation is one of the most rapidly advancing and dynamic sector today. It drives growth across all sectors of the economy. However, this rapid growth presents both opportunities and challenges. Taking innovation into account, this study aims to assess the impact of technological innovation on three sectors which are agriculture, industrial, and service sectors.  The study employed the autoregressive distributed lag model (ARDL), with data from 2000 to 2022 obtained from the World Bank (WB) and the World Intellectual Property Organization (WIPO). Three ARDL models were used to estimate employment in the agriculture sector, employment in the industrial sector and employment in the service sector with inflation (CPI) and interest rate (INT) as the control variables. The ADF (Augmented Dickey-Fuller) test, PP(Philip-Perron) test, Serial Correlation LM test, BG Heteroscedasticity, and Jarque Bera Normality test were utilized to ensure robust estimates of the models. The findings revealed that innovation has a significant positive influence on employment in the agriculture sector and service sector whereas the industrial sector is negatively influenced by innovation. Nevertheless, inflation has a significant positive effect on employment in the agriculture and service sectors but negatively affects employment in the industrial sector, where a lag in interest rate influence negatively employment in the agricultural sector. Relying on these findings, the study recommends an increase in expenditure on research and development, formulation of policies that will mainstream innovation in all sectors of the economy, and investing more in education and skills development
Students’ Knowledge of Integration of GeoGebra in Mathematics Classes in Uganda
Authors: Kanono Ronald , Batiibwe Marjorie Sarah Kabuye
Published: September 2024

GeoGebra, an open-source Dynamic Mathematics Software (DMS), has emerged as a transformative tool in mathematics education, allowing students and teachers to visualize, explore, and manipulate geometric concepts in dynamic virtual environments. This study investigated the students’ knowledge of integration of GeoGebra in mathematics classes in lower secondary schools in Rwampara District, Southwestern Uganda. The objectives of this study were to identify the most abstract geometrical concepts posing challenges to students, examine the impact of GeoGebra training on the identified abstract concepts, and assess the relationship between students' attitudes and the integration of GeoGebra. This study utilized a quantitative approach, employing quasi-experimental and cross-sectional survey designs. Data were collected from 103 students using questionnaires and pre-and post-tests to evaluate the impact of GeoGebra software intervention. Independent samples t-test, Pearson's linear correlation, and descriptive statistics such as means, standard deviations, and frequencies were employed as data analysis methods. The study found that the students identified rotational transformation as the most abstract geometrical concept. The pre-test results indicated that respondents had similar baseline knowledge of rotational transformation. However, after the GeoGebra intervention, the post-test results showed that the difference in mean scores between the experimental and control groups was statistically significant. Additionally, the experimental group demonstrated a positive attitude towards the software. The study concluded that while rotational transformation posed a significant challenge for students, GeoGebra significantly improved their conceptual understanding and performance in this geometry concept. The study recommended that teachers should strongly consider integrating GeoGebra into their ICT-based teaching and learning resources to help improve students' conceptual understanding, motivation, attitude, and achievement in rotational transformations and other geometric concepts
Enrollment and Uptake of Health Care Financing Schemes among Adult Inpatients in Baringo County, Kenya
Authors: Kandagor Ezekiel , Mogere Dominic , Odongo Alfred Owino
Published: September 2024

A high burden of healthcare expenditure precludes the poor from access to quality healthcare services. Due to the dearth of studies detailing healthcare financing in rural-based counties in Kenya, the study examined enrolment and uptake of healthcare financing schemes among adult inpatients in Baringo County, Kenya. The study employed a descriptive cross-sectional research design and was situated in Baringo County Referral Hospital with a target population of about 8,400 monthly or more than 100,000 patients annually. A sample size of 398 patients/and or caregivers was selected based on the stratified simple random sampling method. The results indicated age > 35 years (OR = 0.76120, p = 0.004), Occupation (OR = 0.65730, p = 0.000), income levels (OR = 1.67921, p = 0.000), marital status (OR = 0.38342, p = 0.000) and household size > 4 but less than 9 (OR = 3.66847, p = 0.000) and explain about 21.58 per cent in the enrolment in a healthcare insurance scheme. The conclusions are that demographic factors (age, marital status, occupation, income levels and household size) influence enrolment This implies that young unmarried individuals < 35 years, employed with income > Ksh 20,000 and with household size < 5 persons were more likely to enrol for a healthcare financial scheme. The study recommends that a universal healthcare financing scheme should be implemented to make healthcare financing more affordable and accessible through policy interventions
Vitamin D Regulates Cooperation Between Metadherin and Transcription Factor Lymphoid Enhancer-Binding Factor 1 in Prostate Cancer Development and Progression
Authors: Cheng Huan , Wang Yichun , Ji Chengjian , Wang Yong , Zhong Da , Song Ninghong
Published: September 2024

The incidence of prostate cancer is increasing, and its poor prognosis is associated with metadherin overexpression; however, its molecular mechanisms are unclear. This study used Western blot, quantitative real-time polymerase chain reaction, immunofluorescence, and tumorigenicity assays to investigate metadherin and epithelial-mesenchymal transition in prostate cancer. We found that metadherin was highly expressed in prostate cancer tissues, especially PC-3 cells. Metadherin overexpression promoted t epithelial-mesenchymal transition and tumor growth. Bioinformatics analysis and assays revealed that lymphoid enhancer-binding factor 1 directly activates the metadherin promoter. The epithelial-mesenchymal transition and tumorigenicity were suppressed by the silencing of lymphoid enhancer-binding factor 1; however, these effects were reversed by metadherin overexpression. Vitamin D treatment downregulated metadherin and lymphoid enhancer-binding factor 1, counteracting lymphoid enhancer-binding factor 1-induced metadherin upregulation. Our findings indicate that metadherin enhances epithelial-mesenchymal transition and tumorigenicity through lymphoid enhancer-binding factor 1, with vitamin D modulating this interaction in prostate cancer.
Beneficial Effects of Probiotics Derived from Inonotus Obliquus on Menopausal Symptoms in Ovariectomized Mice
Authors: Bak Seon Gyeong , Chandimali Nisansala , Park Eun Hyun , Lim Hyung Jin , Won Yeong Seon , Kwon Hyuck Se , Lee Nayong , Oh Hyunjeong , Yun Soon-Il , Park Sang-Ik , Lee Seung-Jae
Published: September 2024

Physical debilitation and other health risks such as cardiovascular disease and osteoporosis often accompany decreased estrogen production in postmenopausal women. Phytoestrogens, natural compounds that functionally mimic estrogens, have emerged as a potential treatment method for hormonal dysregulation during menopause. Among these, chaga (Inonotus obliquus) extract has gained attention for its various health benefits, including anti-cancer and antioxidant properties. The aim of this study was to investigate the bone metabolic efficacy of lactic acid bacteria derived from I. obliquusin ovariectomized C57BL/6J female mice. The results demonstrated the estrogenic activity of probiotics derived from I. obliquus and its potential to alleviate osteoporosis symptoms by improving bone microstructure and density. Furthermore, probiotics derived from I. obliquus favored biochemical markers associated with a reduction in bone resorption. Additionally, effects on brain neurotransmitters and serum estradiol levels suggested its regulatory role in estrogen mimicry. These findings underscore the therapeutic potential of probiotics derived from I. obliquus in managing menopausal symptoms and thus warrant potential human investigation in improving bone health in postmenopausal women.
Field Analysis and Equivalent Circuit Parameters of Linear Induction Motor with Eddy Current Secondary, Taking End Effect into Consideration
Authors: Ahmed Ramadan Abdellah , Elwany M. A. , Kotb A. B.
Published: September 2024

The field analysis of a single-sided linear induction motor (LIM) taking end effect into consideration is carried out. A suitable model is used to establish the two components of secondary current density and the air gap field intensity, these components, beside the force density are carried out through the three regions model. The drive force acting on a conducting secondary sheet is calculated and plotted as functions of the speed, taking the length of secondary ends as parameter. The motor speed can be controlled by changing the displaced angle φ of the electric loading wave in the second stator phase. The equivalent circuit parameters are determined here in terms of the machine geometry by a new suggested method. These parameters are plotted as function of the motor speed for different secondary ends.
Implementation of Massive Multiple-Input Multiple-Output (MIMO) 5G Communication System using Modified Least-Mean-Square (LMS) Adaptive Filters Algorithm
Authors: Kulshreshtha Garima , Chauhan Usha
Published: September 2024

The massive MIMO systems are the more popular field in the present era for the 5G wireless communication system. The MIMO system is a demanding research topic for the last four decades. This topic is under implementation and observation from the last few years. These systems have many advantages and many research sub-areas but this paper investigates the modified model of the massive MIMO receiver system. The traditional receiver system model of massive MIMO system reduces the channel noise using a linear filter in the receive combiner bank (RCB) but the proposed model removes the channel noise before the RCB using an adaptive filter bank (AFB). The AFB is the combination of LMS adaptive filters. The analysis parameters are channel noise, signal-to-noise ratio (SNR) and bit-error-rate (BER) using the hybrid precoder and combiner computation algorithms – Quantized Sparse Hybrid Beamforming (QSHB) and Hybrid Beamforming Peak Search (HBPS). Therefore, the proposed massive MIMO system model gives the less channel noise in the received signal, higher SNR and lower BER as compared to the traditional massive MIMO receiver systems.
Experimental implementation of Speed Stabilizer Based Field Oriented Control of Brushless DC Motor for Scooter Applications
Authors: Hassan Enas D. , Abdalla Ali I. , H. Qaddoori Ilham
Published: September 2024

An electric scooter, as one type of Lightweight vehicles technology, is a motorized vehicle designed for short-distance travel and recreational purposes. It is powered by an electric motor and typically has a rechargeable battery that provides sufficient power to operate the vehicle. Electric scooters are similar to traditional scooters but are much quieter, eco-friendly, and more energy-efficient. They are commonly used as an alternative mode of transportation for commuting, sightseeing, and recreational activities. This work presents an experimental implementation of speed stabilizer of electric scooter. In fact, a constant speed function might be required in a specific case in the operation of the scooter. A Field Oriented Control (FOC) method was chosen to control the speed of 3-phase Brushless DC motor of the scooter using a PIC16F873A Microcontroller through a Driver circuit. The control algorithm is designed to produce pulse width modulation (PWM) signal with the PID controller of the pulse bandwidth equipped with this Microcontroller and compared to the return pulse of the speed sensor in order to create and apply a closed back-feed system for good stability performance of scooter speed at different load values. The results obtained from this work show that the possibility of obtaining a wide range of control of the speed of the scooter at different loads with high reliability.
Deep Learning based DWT- Bi-LSTM Classifier for Enhanced Cardiovascular Arrhythmia Classification
Authors: Malleswari Pinjala N , Hanuman CRS , Kammampati Venkata Ramana , Swathi Samanthapudi , Raju B. Elisha
Published: September 2024

Nowadays heart diseases and their diagnosis have emerged as a prominent subject in health care systems, given that the heart performs a crucial role in the human body. Several computational techniques have been explored for the recognition and classification of cardiac diseases using Electrocardiogram (ECG) signals. Deep Learning (DL) is a present focus in healthcare solicitations, particularly in the classification of heartbeats in ECG signals. Many studies have utilized dissimilar DL models, including RNN (Recurrent Neural Networks), GRU (Gated Recurrent Unit), and CNN (Convolutional Neural Networks), to classify heartbeats using the MIT-BIH arrhythmia dataset. This article presents a methodical exploration of Bi-LSTM (Bi directional Long Short-Term Memory) based DL models for heartbeat classification using various quality metrics. Proposed variants include the Bi-LSTM model, demonstrating remarkable accuracy in classifying the heartbeats into five classes: Normal (N) beat, Supraventricular (S) beat, Ventricular contraction (V), Fusion beats (F), and Unclassifiable Beat (Q). The proposed technique outperforms present classifiers with Accuracy, Sensitivity, Specificity, and F1 score values of 98%, 96.9%, 97.4%, and 97.5% respectively. The simulations are conducted using MATLAB 2020a.
An Enhanced Dynamic Collector Voltage and Current Clamping Method for Semiconductor in Electric Vehicles
Authors: Brahmbhatt Hirenkumar , N Dr. Thangadurai
Published: September 2024

The electric drive and the batteries are the two primary parts of an electric vehicle (EV). In order to increase the availability and dependability of the semiconductors used in traction converters, this research focuses on a new approach of semiconductor protection. The IGBT overshoot in voltage during a short circuit situation was successfully reduced by a newly created active voltage and current clamping circuit. This innovative method restricts IGBT’s collector-emitter voltage during the turn-off event. As soon as the collector-emitter voltage of the IGBT crosses a predetermined threshold, the IGBT is partially turned on. The IGBT is then kept operating linearly, minimizing the rate at which the collector current falls and, consequently, and the collector-emitter over voltage. Simultaneously, during the short circuit, the current is monitored by a high precision hall-effect sensor allegro make IC, which detects over current and provides a fault output within 1µs. As a result of the combination of current and voltage monitoring, the likelihood of the IGBT failure is reduced drastically.
Millimeter Wave Massive MIMO systems using Hybrid Beamforming
Authors: Warhade Bhagyashri , Patil Rupali
Published: September 2024

The goal of next-generation wireless systems is to support many users by achieving higher data rates and reduced latency. Multiple input and multiple output systems (MIMO) are utilized in order to achieve high data rates. Multiple antennas are employed by Massive MIMO systems in both the transmitter along with the receiver. A signal processing method known as beamforming is used on several transmitting and receiving stations in order to deliver and receive multiple messages at once. To increase spectral efficiency, hybrid beamforming using a uniform rectangular antenna array is used in this research work. The results of hybrid beamforming using different numbers of antennas are compared with those of fully digital beamforming. A comparison between signal-to-noise (SNR) and bit error rate (BER) is performed. Comparing hybrid beamforming to fully digital beamforming, simulation findings show that hybrid beamforming reduces computing complexity due to reduced number of RF links. Also observed that the spectral efficiency rises with an increase in the quantity of transmitting antennas.
An Efficient Image Encryption Scheme for Medical Image Security
Authors: Zeenath  , DurgaDevi K , Carey M John W
Published: September 2024

In the contemporary landscape of digital healthcare, the confidentiality and integrity of medical images have become paramount concerns, necessitating the development of robust security measures. This research endeavors to address these concerns by proposing an innovative image encryption scheme tailored specifically for enhancing medical image security. The proposed scheme integrates a sophisticated blend of symmetric and asymmetric encryption techniques, complemented by a novel key management system, to fortify the protection of medical image data against unauthorized access and malicious tampering. The proposed DNA-based encryption algorithm leverages the unique properties of DNA encoding to securely scramble image data, providing an added layer of protection. By utilizing DNA sequences in the encryption and decryption processes, the scheme achieves a high level of data confusion and diffusion, significantly enhancing security. The efficacy of the proposed encryption scheme is validated through comprehensive experimental evaluations, which demonstrate its proficiency in ensuring data security while maintaining computational efficiency. The scheme's compatibility with existing medical imaging systems is also examined, affirming its seamless integration into contemporary healthcare infrastructures. This research contributes to the advancement of medical image security by proposing an efficient encryption scheme that strikes a balance between stringent security requirements and practical implementation considerations. The primary contributions include the development of a DNA-based encryption algorithm and a novel key management system, both of which significantly enhance the security of medical images. This research contributes to the advancement of medical image security by proposing an efficient encryption scheme that strikes a balance between stringent security requirements and practical implementation considerations. By safeguarding the confidentiality and integrity of medical images, the proposed scheme empowers healthcare providers to uphold patient privacy and trust in the digital age. Experimental results show that this approach ensures robust encryption without compromising image quality, making it suitable for sensitive medical imaging applications.
Improving Robustness and Dynamic Performance of Sensor less Vector-Controlled IM Drives with ANFIS-Enhanced MRAS
Authors: I Govindharaj , R Rampriya , S Balamurugan , S Yazhinian , K Dinesh Kumar , R Anandh
Published: September 2024

The Model Reference Adaptive System (MRAS) enables effective speed control of sensorless Induction Motor (IM) drives at zero and very low speeds. This study aims to enhance the resilience and dynamic performance of MRAS by integrating an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller into sensorless vector-controlled IM drives. To address issues related to parameter uncertainties, load variations, and disturbances, the combination of MRAS and ANFIS is investigated. The ANFIS controller improves the dynamic performance by adapting its parameters based on the error between estimated and measured rotor speeds. This allows for better tracking of the reference speed and smoother drive operation. The proposed MRAS scheme with ANFIS reduces the sensitivity of the sensorless control system to parameter variations, such as changes in motor parameters or load torque, thereby enhancing stability. The primary goal of this system is to maintain stability and reduce the impact of parameter variations on the sensorless control system. The performance of the proposed system is evaluated using the MATLAB platform and compared with existing systems. Results indicate that the ANFIS-enhanced MRAS offers superior dynamic performance and robustness, making it a viable solution for applications requiring precise speed control and high reliability.
Interval State Estimation of Systems with Metzler Polytopic Models
Authors: Krokavec Dušan
Published: September 2024

The paper deals with the design of interval observers for interval-defined strictly Metzler polytopic positive systems. The stability conditions for the proposed structure of the interval observer are formulated using linear matrix inequalities to ensure a positive estimate of the system state. The proposed method makes it possible to calculate time-varying lower and upper estimates of the state vector, assuming that the disturbance is bounded. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
Lietuvos obstrukcinės miego apnėjos diagnostikos ir gydymo rekomendacijos 2024
Authors: Vaitukaitienė (redaktorė) Guoda , Miliauskas Skaidrius , Danila Edvardas , Zablockis Rolandas , Balsevičius Tomas , Gavelienė Edita , Jurkevičienė Giedrė , Lesinskas Eugenijus , Malakauskas Kęstutis , Masaitienė Raminta , Misevičienė Valdonė , Pajėdienė Evelina , Razukevičius Dainius , Šileikienė Virginija , Ulozas Virgilijus , Vaidelienė Laimutė
Published: September 2024

Šiame dokumente pateikiamos atnaujintos klinikinės praktikos rekomendacijos, apimančios suaugusiųjų ir vaikų obstrukcinės miego apnėjos diagnostiką ir gydymą.
Nesmulkiųjų ląstelių plaučių vėžiu sergančiųjų mikrobiomas, imuninių žymenų raiška bei kriobiopsijos diagnostinė vertė
Authors: Ankudavičius Vytautas
Published: September 2024

2024 m. gegužės 23 d. Lietuvos sveikatos mokslų universiteto viešajame Lietuvos sveikatos mokslų universiteto Medicinos mokslo krypties tarybos posėdyje Vytautas Ankudavičius sėkmingai apgynė daktaro disertaciją „Nesmulkiųjų ląstelių plaučių vėžiu sergančiųjų mikrobiomas, imuninių žymenų raiška bei kriobiopsijos diagnostinė vertė“. Disertacija rengta 2019–2023 m. Lietuvos sveikatos mokslų universiteto Medicinos fakulteto Pulmonologijos klinikoje. Šiame straipsnyje pateikiami pagrindiniai disertacijos rezultatai.
Mokslinis vadovas:prof. dr. Marius Žemaitis (Lietuvos sveikatos mokslų universitetas, medicinos ir sveikatos mokslai, medicina – M 001)
Disertacijos gynimo taryba:prof. dr. Elona Juozaitytė (Lietuvos sveikatos mokslo universitetas, medicinos ir sveikatos mokslai, medicina – M 001)doc. dr. Asta Dambrauskienė (Lietuvos sveikatos mokslo universitetas, medicinos ir sveikatos mokslai, medicina – M 001)doc. dr. Audrius Ivanauskas (Lietuvos sveikatos mokslo universitetas, medicinos ir sveikatos mokslai, medicina – M 001)prof. dr. Edvardas Danila (Vilniaus universitetas, medicinos ir sveikatos mokslai, medicina – M 001)prof. dr. Alan Altraja (Tartu universitetas, medicinos ir sveikatos mokslai, medicina – M 001)
Penkerių metų klinikinų duomenų analizės apžvalga gydant metastazavusį nesmulkiųjų ląstelių plaučių vėžį pembrolizumabo ir chemoterapijos deriniu, kai PD-L1 raiška neigiama
Authors: Ankudavičius Vytautas
Published: September 2024

Pembrolizumabas yra programuotos ląstelės žūties baltymo 1 inhibitorius, patvirtintas metastazavusiam nesmulkiųjų ląstelių plaučių vėžiui (NSLPV) gydyti. Pembrolizumabo ir chemoterapijos derinys yra šiuolaikinis metastazavusio NSLPV, nenustačius aktyvinančios epidermio augimo faktoriaus receptoriaus (EGFR) mutacijos ir anaplastinės limfomos kinazės (ALK) geno translokacijos, pirmosios eilės gydymo standartas, nepriklausomai nuo programuotos ląstelių žūties ligando (PD-L1) raiškos.
Beatriz Méndez Guerrero, El silencio en la comunicación multimodal en español, Granada: Comares, 2024, 116 págs. ISBN: 978-84-1369-641-6.
Authors: Martí Sánchez Manuel
Published: September 2024

Reseña
PRAGMATIC FEATURES OF FAMILY EDUCATION TERMINOLOGY IN ENGLISH AND UZBEK
Authors:   Teacher of the Karshi State University, Uzbekistan, Rashidova Sarvinoz
Published: September 2024

This article explores the pragmatic features of family education-related terminology in English and Uzbek. Through an analysis of the usage of key terms in different social and cultural contexts, the study reveals how language reflects the norms, traditions, and societal structures of both cultures. The findings demonstrate that, while the core concept of family education is shared, the pragmatic applications of the terms differ significantly due to the diverse cultural frameworks.
FUNCTIONS OF PHRASEOLOGICAL UNITS IN UZBEK BUSINESS DISCOURSE
Authors:   Lecturer of Department of Philology, Termez State University, Termez, Uzbekistan, Kodirova Mukaddas
Published: September 2024

This article explores the functions of phraseological units (PUs) in Uzbek business discourse, shedding light on their role in cultural and linguistic contexts. Phraseological units, which include idioms, collocations, and proverbs, are essential in conveying nuanced meanings, expressing cultural values, and enhancing communication efficacy in business interactions. The research employs a combination of continuous sampling, systematization, component analysis, and discourse analysis methods, supported by a review of both domestic and international literature on phraseology and business communication. Findings reveal that in Uzbek business discourse, PUs serve multiple functions: they reflect cultural values, such as respect and community orientation; facilitate indirect and polite communication; and employ metaphors drawn from traditional contexts like agriculture. Specific examples include idioms and proverbs that emphasize hard work, strategic thinking, and resilience. The study concludes that PUs are integral to effective business communication in Uzbekistan, enhancing rapport, persuasion, and understanding. The ongoing integration of traditional phraseology with modern business practices continues to evolve, underscoring the dynamic nature of Uzbek business discourse.
THE CONFLICT OF INTERESTS IN THE MIDDLE EAST: THE ROLE OF THE USA, RUSSIA AND CHINA
Authors:   Tashkent State University of Oriental Studies independed researcher, Uzbekistan, Boburjon Shakarov
Published: September 2024

With its vast energy reserves, strategic location, and complex socio-political landscape, the Middle East has been a central arena of global power struggle for centuries, attracting the attention of international powers. Today, the region is witnessing significant geopolitical competition between the United States, Russia, and China, each vying for influence and seeking to shape the future of the Middle East according to their strategic interests. The roles and interests of these three countries in the Middle East are manifested in the following directions.
SOCIAL FACTORS SPECIFYING THE SPEECH OF COURT SESSION PARTICIPANTS
Authors:   Doctorate (DSc) of Andijan State University, Doctor of Philosopy in Philology (PhD),Uzbekistan, Ismoilov Khurmatillo
Published: September 2024

The expression of language units in a court session serves as a prime example of the manifestation of social standing and its corresponding speech patterns. Unlike any other speech situation, the court’s reliance on its just principles, strict rules and regulations in conducting discussions, and its commitment to fair justice based on citizens’ equality before the law and the court, underscore its official status as an arm of state power. The article will highlight the social factors that influence the speech of the main participants in a court session: the presiding judge, the state prosecutor and the defense attorney. It will analyze how these factors contribute to the unique language they use in their speeches.
OPTIMIZING RETAIL DEMAND FORECASTING: A PERFORMANCE EVALUATION OF MACHINE LEARNING MODELS INCLUDING LSTM AND GRADIENT BOOSTING
Authors:   Master of Science in Information Technology, Washington University of Science and Technology, USA, Shak Md Shujan , Mozumder Md Shahin Alam ,   Master of Science in Information Technology, Washington University of Science and Technology, USA, Hasan Md Amit ,   Master of Science in Information Technology, Washington University of Science and Technology, USA, Das Ashim Chandra ,   Master of Science in Information Technology, Washington University of Science and Technology, USA, Miah Md Rashel ,   Department of Digital Communication and Media/Multimedia, Westcliff University, USA, Akter Salma ,   Department of Public Administration, Gannon University, Erie, PA, USA, Hossain Md Nur ,   Master’s in information technology management, Webster University, USA
Published: September 2024

Effective demand forecasting is vital for inventory management in retail. This study evaluates five machine learning models—Linear Regression (LR), Decision Tree Regressor (DTR), Random Forest Regressor (RFR), Gradient Boosting (GB), and Long Short-Term Memory (LSTM)—for predicting retail demand. Utilizing a dataset with transactional sales, promotions, calendar events, and external factors like weather and economic indicators, we applied rigorous preprocessing and feature engineering. Performance was assessed using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R-squared (R²). Results show that LSTM outperforms other models with an MAE of 9.53, RMSE of 14.67, and R² of 0.90, excelling in capturing temporal dependencies and complex demand patterns. Gradient Boosting and Random Forest also performed well, while Linear Regression and Decision Tree Regressor showed limitations. This study highlights the effectiveness of advanced models, particularly LSTM, for enhancing demand forecasting accuracy and offers valuable insights for optimizing retail inventory and operations.
ENHANCING SECURITY IN NIGERIA: THE IMPLICATIONS OF SOCIAL MEDIA-BASED CRIME REPORTING
Authors:   Ph.D. Student, City University, Cambodia, Oghogho Maryjane Y. , Osazuwa O.M.C ,   Ph.D. Student, City University, Cambodia, Iyamba Opinion D. ,   Ph.D. Student, City University, Cambodia, Ekeng-Ekeng Henshaw ,   Ph.D. Student, City University, Cambodia, John Inyang G. ,   Ph.D. Student, City University, Cambodia
Published: September 2024

With the widespread use of social media platforms, individuals have increasingly turned to these platforms to report crimes, creating an evolving landscape for law enforcement and security agencies. Social media-based crime reporting has emerged as a transformative approach to public safety, offering real-time updates, accessibility, and community engagement. This study examines how social media platforms like Facebook and Twitter promote community mobilization and real-time information sharing by applying Information Diffusion Theory (IDT) and Social Network Theory (SNT). Notable examples, such as the Aluu Four lynching, End-SARS movement, Chibok kidnapping and the 2023 presidential elections amongst other events, demonstrate how social media plays a crucial role in increasing public knowledge, coordinating group efforts, and impacting legislative reforms. However, this innovative method of reporting also brings forth several security implications that demand careful consideration. By examining the advantages and challenges of social media for crime reporting, this study aims to provide insights into how such practices can enhance security measures while mitigating potential risks. This study, therefore, explores these security concerns and strategies for enhancing the security implications of social media-based crime reporting. It discusses the potential risks of misinformation, privacy issues, tipping off perpetrators, and the inadvertent exposure of victims and witnesses. The results emphasize the importance of adopting a well-rounded strategy to utilize the capabilities of social media for reporting crimes, while also acknowledging the difficulties it presents. The study highlights the need for collaboration between law enforcement agencies, policymakers, social media platforms, and the public to develop a robust legal framework, promote responsible reporting practices, and protect evidence integrity. The study therefore recommends the use of sophisticated verification technology, the establishment of responsible reporting criteria, collaboration with social media platforms, and the implementation of strong privacy protection measures.
EFFECT OF DATA PROTECTION FRAMEWORKS AGAINST CYBERCRIMES ON CYBER SECURITY IN NIGERIA
Authors:   PhD Student City University, Cambodia, Adebanjo (DoP) Abiodun , Chigbu Gloria ,   Lecturer ESFAM-BENIN University, Benin Republic, Osazuwa Christopher M ,   PhD Student City University, Cambodia
Published: September 2024

The paper Effect of Data Security Frameworks against Cybercrimes and Cyber Security in Nigeria critically examines the various data protection frameworks in Nigeria and how these are impacting curtailing cybercrimes in the country. The paper examined the institutions responsible for data security and how they carry it out. The work utilized both the secondary and primary sources of data collection. Key Informant Interview (KII) and the observation method were deployed to collect primary data for the study. Information on data protection was also collected from (NDPC) and other relevant agencies. Information from reports from the internet, scholarly articles in journals, and information from websites and books were used in the paper. The paper utilised the Social Strain Theory (SST) as the theoretical framework for the study. The paper observed that data protection regulations in Nigeria make it mandatory for all Public Institutions (PIs) in Nigeria to have a comprehensive cyber security framework, which is to protect against unauthorized access. Several factors are responsible for data insecurity and the attendant increase in cybercrimes in the country. These include, among others: i. Lack of knowledge on the part of most officers of the penalty for data breach allowed by them. ii. Poor dissemination of the content of the NDPA. iii. The poor economic condition of the country makes many officers to seek means of getting extra money, this also includes their volunteering information that they should not disclose in the first place. The paper observed that though cyber security in Nigeria is not within the mandate of the EFCC, the Commission plays very important role in dealing with the threat of cybercrimes in Nigeria. Records shows that of the 12,394 convictions of the EFCC from inception till 31st December 2023. Over 80% of them are on cybercrime and related offences. The paper concluded that inspire of the efforts of the EFCC and other agencies in tackling cybercrimes in Nigeria, the failure of the data protection frameworks in the country in ensuring confidentiality, integrity and security of the data at their disposal is the reason for the spiralling of cybercrimes in the country. The paper recommends that the Nigerian government adopt the best practice policies and regulations, promote awareness, and continuously update cyber security practices, which is germane to enhancing data protection in the country.
A CONCEPTUAL FRAMEWORK TO ANALYSE CONSEQUENCES OF POST-CONFLICT RECONSTRUCTION INTERVENTIONS
Authors:   PhD Student City University, Cambodia, Peter Olowonihi A , Osazuwa Christopher M ,   PhD Student City University, Cambodia
Published: September 2024

This study examines the intricate dynamics of post-conflict reconstruction (PCR) to develop a conceptual framework for analysing the various consequences of interventions in this complicated field. The study employs a mixed-methods strategy combining a comprehensive literature assessment and conceptual analysis. The literature review explores multiple theoretical frameworks on PCR, including perspectives from political economics, development studies, and peacebuilding. Using the conceptual analysis approach, establishing a comprehensive framework is the outcome of a methodical investigation into the interaction between context, intervention, and outcomes in PCR. The paradigm is then utilized to analyse case studies of Rwanda, the Central African Republic, and The Gambia, offering practical observations and empirical evidence. The findings demonstrate that PCR treatments yield diverse outcomes, encompassing both intended and unanticipated consequences. The study highlights the crucial significance of contextual elements, such as the participation of global entities, power dynamics, and historical legacies, in determining the effectiveness of interventions. The study determines that PCR is a complex and detailed process requiring a comprehensive understanding of the interaction between environment, intervention, and outcomes. The suggested conceptual framework offers a valuable tool for assessing the complex effects of PCR initiatives, allowing policymakers, practitioners, and scholars to create and execute more efficient and contextually appropriate interventions. The research highlights the importance of continuous efforts to advance evidence-based strategies that foster lasting peace and fair development in societies recovering from war. This helps to bridge the gap between theory and practical implementation.