bluuebunny/crossref_metadata_2025 huggingface dataset:
Carpal Tunnel Syndrome and SLAC: Implications for Oro-Dentists and Cranio-Maxillo-Facial Surgeons
Authors:   BioMAT’X (HAiDAR I+D+i LAB) R&D&I, Chile., Haidar Ziyad S
Published: May 2024

Scapholunate Advanced Collapse (SLAC) is a progressive condition that can cause wrist pain and functional impairment. This condition often results from injury to the scapholunate ligament, which connects two important bones in the wrist. While SLAC can affect anyone, it is particularly relevant to dentists and maxillofacial surgeons due to the repetitive hand and wrist motions associated with these professions. In addition, Carpal Tunnel Syndrome (CTS), a common neurological disorder that occurs when the median nerve becomes pressed or squeezed at the wrist, is another occupational hazard that can impact dental and surgical professionals. Given the considerable prevalence and sensing that awareness among dental students and surgeons is subpar, alongside the lack of studies investigating such issues, this personal experience-based editorial briefly explores the etiology, classification, diagnosis, and available treatment options for SLAC and CTS, principally, with the dental and maxillofacial professional on mind, to communicate significance and emphasize the importance of implementing proper ergonomics, frequent short stretch breaks and regular strengthening exercise into our daily clinical and surgical work habits; a step towards a real paradigm shift to prevent chronic pain. It can also serve as a valuable and distinct resource for healthcare professionals dealing with SLAC and CTS, accompanying challenges and emphasizing the importance of early detection and adaptation in patient care and surgical techniques. In the demanding fields of dentistry and maxillo-facial surgery, where precision and dexterity are paramount, we perform intricate procedures that require the use of our hands and wrists for long periods of time. Alas, the repetitive motions and awkward postures associated with these procedures can lead to a painful and debilitating condition known as CTS. In addition, recent studies have suggested that SLAC, a degenerative condition of the wrist joint, may increase the risk of developing CTS (more severe form), an ongoing spectre experienced by the author himself.
Optimizing Color Matching and Color Effects in Oil Painting Using Computer Vision Technology
Authors: Gewu Zhang
Published: May 2024

The fusion of traditional oil painting techniques with computer vision technology presents an exciting frontier in the realm of artistic expression. This paper explores the intersection of these disciplines, focusing specifically on optimizing color matching and manipulating color effects in oil painting through computational means. By leveraging algorithms and image processing techniques, artists can enhance their creative process, enabling precise color measurement, nuanced color analysis, and predictive modelling of color combinations' visual impact. Through a comprehensive review of relevant literature, case studies, and practical applications, this paper elucidates the methodologies and advancements driving this convergence. Furthermore, it examines the implications of integrating computer vision into oil painting, offering insights into its transformative potential for artistic practice and aesthetic outcomes. By fostering a deeper understanding of this interdisciplinary intersection, this paper aims to inspire further exploration and innovation at the nexus of art and technology, ultimately enriching the landscape of contemporary artistic expression.
Internationalization Development Strategies of Applied Local Undergraduate Colleges and Universities Based on Virtual Reality and Artificial Intelligence Customer Research
Authors: Haiyan Cai
Published: May 2024

In an era of globalization and rapid technological advancement, internationalization has become a vital requirement for higher education institutions around the world. This research investigates the efficacy of incorporating virtual reality (VR) and artificial intelligence (AI) technologies into internationalization initiatives for applied local undergraduate institutions and universities. A multistep technique was used, which included market research, immersive customer involvement, content production, and strategic collaborations. A pilot study of 200 prospective international students looked at the influence of VR and AI-based initiatives on key recruitment indicators like application and conversion rates. The results demonstrated significant gains in both application rates and conversion rates in the experimental group compared to the control group, demonstrating the transformative potential of immersive technology and data-driven engagement approaches in higher education recruitment and retention efforts. Furthermore, increases in engagement time and satisfaction scores demonstrated the beneficial effects of VR and AI technology on student engagement and contentment. This study adds to the expanding body of literature on the interface of technology and international education, providing useful insights for institutions looking to increase their worldwide reach and competitiveness. However, further study is needed to investigate the long-term effectiveness and scalability of VR and AI-based projects in higher education internationalization. Overall, this study indicates the potential for VR and AI technology to transform internationalization policies and build a more inclusive and integrated learning environment in higher education.
Application of Time Series Analysis and Regression Algorithm in Assessing the Effectiveness of Monetary Policy in the Era of Digital Economy
Authors: Man Jing
Published: May 2024

Monetary policy is the series of actions to manage country's money supply and to attain economic growth. An objection to using interest rates in monetary policy is that the use of interest rates has the problem of time uncertainty. Therefore, this research introduces Conditional Autoregressive Value-at-Risk and Henry Gas Solubility Optimization (Caviar-HGSO) with Deep Long Short Term Memory (DeepLSTM) to monetary policy forecasting to demonstrate its effectiveness. Here, Caviar-HGSO is a hybrid of Caviar and HGSO used to tune DeepLSTM weights. The HGSO algorithm follows the wind state to balance exploration and exploitation in search space while avoiding local optimization. A Caviar model estimates the parameter over time by autoregressive process and determine a parameter by regression analysis. The advantages of these two optimization algorithms lead to better monetary policy forecasts. The experimental results show that Caviar-HGSO_DeepLSTM performs better regarding MAE, MSE, and RMSE, namely 0.438, 0.103, and 0.351.
Financial Statement Text Information Mining and Key Information Extraction Model Construction
Authors: Yi Xu
Published: May 2024

Financial statement text information mining and key information extraction model design are critical areas of research that aim to use advanced computational approaches to extract important insights from textual data contained in financial documents. In this work, they look at methodologies, techniques, and applications that combine natural language processing (NLP) and machine learning to automate financial statement interpretation. To lay the groundwork for the research, researchers first conduct a thorough examination of existing literature in interdisciplinary domains such as computational linguistics, information retrieval, and finance. Building on insights from earlier studies, they design and use unique NLP approaches, such as named entity identification, syntactic parsing, sentiment analysis, and topic modelling, to extract essential financial metrics from textual data. Additionally, they create machine learning models that are suited to the peculiarities of financial terminology and reporting standards, combining domain-specific knowledge with linguistic experience to improve accuracy and reliability. They demonstrate the efficacy and scalability of the technique in automating the extraction of crucial financial information, such as revenue trends, cost patterns, and risk factors, through rigorous testing on real-world financial data. These results highlight the transformative power of natural language processing and machine learning in financial analysis, providing stakeholders in finance and accounting with actionable intelligence for informed decision-making, risk assessment, and compliance monitoring. By bridging the gap between computational linguistics and financial analysis, this study advances financial text analysis and provides the framework for future research and innovation in this emerging field.
Modernizing Cancer Diagnosis with an Intelligent Model for Lung and Colon Cancer
Authors: Seelam, Nagarjuna Reddy
Published: May 2024

Cancer is a lethal condition resulting from a mix of genetic mutations and several metabolic irregularities. Lung and Colon Cancer (LCC) are the primary reasons for mortality and impairment in humans. Identifying these malignancies by histopathology is often crucial for deciding the most appropriate therapy. Early discovery of the disease on the side significantly reduces the chances of death. Machine Learning (ML) methods accelerate cancer diagnosis, enabling researchers to analyze more individuals in a smaller time frame and at a reduced fee. The research presented a hybrid ensemble-based feature-extracting system to detect LCC effectively. It combines advanced feature extraction and ensemble-based learning with efficient filtration for datasets of LCC images. The system is assessed using histopathology datasets for the LCC. The research indicates that the hybrid system can accurately diagnose the lungs and colon. Therefore, these models might be used in clinical settings to assist doctors in diagnosing malignancies.
OBT-Trace: An approach to trace and recognition object motion through prosthetic hand gestures
Authors: Surya.S
Published: May 2024

The development of prosthetic hands has advanced significantly in recent years, aiming to provide more intuitive and functional solutions for individuals with upper limb amputations. This research presents a novel approach to prosthetic hand control by integrating 3D hand gesture recognition with object manipulation and recognition capabilities. Our proposed system utilizes a pre-trained object recognition model, based on transfer learning, to enable the prosthetic hand to perceive and identify objects in its vicinity. The model leverages a vast dataset of objects, enabling the prosthetic hand to recognize a wide array of everyday items, thus enhancing its versatility.In addition, the prosthetic hand incorporates a sophisticated 3D hand gesture recognition system, allowing users to control the hand's movements and actions seamlessly. By recognizing specific gestures, such as grasping, lifting, and releasing, users can intuitively interact with their environment and perform various tasks with ease. This research leverages the synergy between gesture recognition and object recognition, creating a powerful framework for prosthetic hand control. The system's adaptability and versatility make it suitable for a broad range of applications, from assisting with daily tasks to enhancing the quality of life for individuals with upper limb amputations.The results of this study demonstrate the feasibility and effectiveness of combining 3D hand gesture recognition with pre-trained object recognition through transfer learning. This approach opens up new possibilities for enhancing prosthetic hand functionality and usability, ultimately improving the lives of those who rely on these devices for daily living. The proposed model combines the features of YOLO V7 object detection with pre-trained models. The proposed model achieves 99.8% of accuracy compared to the existing models.
A Review on Detection of Cybersecurity Threats in Banking Sectors Using Ai Based Risk Assessment
Authors: Lavanya M.
Published: May 2024

The continued rise of cybercrime in the current era has frightened not only off-users but also violating financial institutions. The recent studies have shown that most financial institutions lose the credibility of their clients and their investments as a result of these attacks. The cyber-hackers involved in these types of cybercrime are now using more advanced technology. Its vigour surpasses the firewall system currently in use our network. Hence, the security needs for financial institutions are increased. So, the server management and cyber security systems getting higher end security. The cyber security aspects are is always shifting based on the attacks, but the cyber security threats are increased and create the serious discussion about the financial institutions. In General, the cyberspace describes the combination of all types of communication networks, databases, embedded processors, Internet and controllers for exchanging electronic documents. The global network environment is created by telephone wires, coaxial cables, electromagnetic waves and fiber-optic lines. Although the terms cyberspace and the Internet can be used interchangeably, it is still part of cyberspace. In simple terms, cyberspace is a connected web environment. Now, cyber-security is the process of protecting cyberspace from attack, misuse, damage and economic espionage. Cyberspace can sometimes be blocked by intrinsic vulnerabilities that cannot be eliminated. In this study, different types of cyber cards are explained in detail. And the escape processes from certain subtle attack methods are clearly stated.
Cybersecurity Challenges in Smart Grids: A Focus on Information Technology
Authors: Khudhair Abbas Abbas
Published: May 2024

The joining of information technology into smart grids has altered the energy area, improving proficiency and maintainability. Notwithstanding, this combination additionally delivers critical cybersecurity challenges. This paper digs into the investigation of cybersecurity challenges in smart grids, especially underlining the job of information technology. One basic viewpoint analyzed in this study is the use of organized Robust Principal Component Analysis (RPCA) with the Proximal Point identifier. Through definite estimations and examinations, the paper presents a thorough outline of the RPCA-based approach's viability. It gives experiences into the computational prerequisites for carrying out this method, featuring its true capacity in identifying oddities inside smart lattice frameworks. The exploration uses genuine data from the IEEE 30 and IEEE 118 power frameworks to assess the exhibition of the RPCA-based proximal tendency locater. Results exhibit promising results, including high detection probability and diminished recognizable proof latency. In addition, the review exhibits the calculation's ability to recognize False Data Injection Attacks (FDIA) with a great ID probability surpassing 95%. Besides, trial re-enactments led for both arbitrary and assigned assault situations on the IEEE 30 and IEEE 118 power frameworks display essentially lower detection latencies. These discoveries highlight the significance and viability of utilizing RPCA-based approaches in moderating cyber security dangers inside smart framework foundations.
Exploring the Optimization Model of University English Blended Teaching Mode Combined with Deep Learning
Authors: Tan Juan
Published: May 2024

With university English blended teaching mode combined with deep learning marks a significant advancement in language education. With integrating deep learning techniques into blended teaching approaches, educators can leverage vast amounts of educational data to enhance the effectiveness and personalization of English language instruction. Deep learning algorithms analyze student interactions, performance data, and learning preferences to tailor instructional content and activities to individual needs. This model enables educators to create dynamic and adaptive learning experiences that blend traditional classroom instruction with online resources and digital tools. The paper presents a comprehensive examination of blended teaching methodologies within the realm of English education, integrating principles of deep learning to enhance learning outcomes. Through a series of experiments and analyses, the study investigates the effectiveness of various teaching components, the utilization of online resources, and the application of diverse deep learning architectures. Findings underscore the significance of a balanced integration of traditional pedagogies and digital resources, with online materials emerging as a pivotal aspect of the teaching strategy. The study conducted experiments evaluating the effectiveness of blended teaching methodologies in English education, with numerical scores ranging from 4.2 to 9.0 across different parameters. Results indicated that experiments with higher scores for traditional teaching effectiveness (ranging from 6.5 to 9.2) and deep learning integration (ranging from 3.9 to 9.1) tended to yield superior overall learning outcomes (ranging from 4.3 to 9.0). Furthermore, online resources received consistently high weighted scores (ranging from 7.2 to 9.5), underscoring their significant contribution to the overall teaching strategy.
Design and Evaluation of English-Speaking Practice Environment Based on Virtual Reality Technology
Authors: Shui Juan
Published: May 2024

The design and evaluation of an English-speaking practice environment based on virtual reality (VR) technology involves creating immersive virtual environments where users can interact with realistic scenarios to enhance their English-speaking skills. By leveraging VR technology, users can engage in simulated conversations, presentations, or social interactions in English, providing a safe and controlled environment for language practice. This paper presents an innovative approach to enhance English-speaking practice within virtual reality (VR) environments using the Sbi-gramO system. Sbi-gramO combines sentiment analysis and optimization techniques to select emotionally resonant and linguistically relevant bi-grams tailored to various speaking scenarios. The system's performance is evaluated through error estimation metrics, stop word analysis, and classification results across different scenarios such as job interviews, casual conversations, and public speaking engagements. Results indicate the system's effectiveness in predicting sentiment scores and distinguishing between diverse speaking contexts. Performance evaluation reveals the system's accuracy, with mean absolute errors ranging from 0.04 to 0.07 across different scenarios. Additionally, stop word analysis highlights the linguistic complexity within each scenario, with an average stop word count of 4.6. Classification results demonstrate the system's adaptability, correctly classifying instances with an accuracy of 80% on average.
Research on SOP Estimation Based on SOC Constraints under Static Operating Conditions
Authors: Liu Yi
Published: May 2024

In a battery management system (BMS), accurate estimation of system operating power (SOP) is essential to ensure battery performance and extend service life. In this paper, an SOP estimation method based on open circuit voltage (OCV), state of charge (SOC) and battery current is studied. By analyzing the battery data under dynamic stress test (DST) conditions, the estimated value of continuous peak charge and discharge current is calculated, and the corresponding continuous peak charge and discharge power is estimated accordingly. Comparing the estimated charging and discharging power with the experimental value, the results show that the new algorithm can significantly improve the estimation accuracy of SOP. It not only improves the accuracy of SOP estimates, but also helps to optimize BMS, thereby improving the overall performance and service life of the power battery.
Deep Long and Short Term Memory with Tunicate Swarm Algorithm for Skin Disease Detection and Classification
Authors: Ashwin Narasimha Murthy
Published: May 2024

The development and implementation of cost-effective and efficient screening technologies is important. To address these concerns, we have introduced a unique method to detect skin diseases. Each photo is first pre-processed and cropped to pixel size. Six square fields are used to split these pictures into pixels. Techniques for enlarging images, such as rotation, mirroring, and enhancement, are employed to minimize the quantity of parameters needed for further processes. An kernel-weighted fuzzy local information or the C-means clustering model (K-FCM) is used to properly segment cancer-affected regions. Texture and colour features are then extracted. Finally, a deep long-term and short-term memory (DLTM)-based tunicate group algorithm (TSA) is used to detect skin diseases and classify both normal and abnormal classes. The experiment was carried out using MATLAB, and photos were gathered from the Helllev University Hospital in Denmark. According to the comparative analysis results, the proposed DLSTM-TSA outperforms competing products in terms of F-score, sensitivity, and precision.
Innovating Healthcare Services Through Technology: Building Framework of IDoc Mobile Application
Authors: Jennyvi G. Pascua
Published: May 2024

Technology has become a vital impact on the development of healthcare systems, particularly through the use of mobile applications to monitor people's health as they become more concerned with maintaining their physical fitness and health. Access to healthcare services is one of the issues in the province of Quirino since hospitals and clinics are limited, communities from rural areas are having problems in availing healthcare consultation. There is a scarcity of mobilization of the people from rural areas who wants and needs to avail healthcare consultation. The goal of this study to design a framework for a mobile health application that is based on community needs, challenges and issues in availing healthcare services in the province. The framework for mobile application is a channel for this problem as it provides a way to contact Doctors in order to address healthcare needs anytime and anywhere. The researchers used Design Thinking as an innovative approach and conducted series of interviews to empathize with the community. The proposed framework for mobile application can help address the needs of the community in availing healthcare services especially those in rural areas. This can improve the quality of health and to address critical needs of patients. This can be a tool to help both patients and medical practitioners in the province of Quirino and nearby provinces in availing healthcare services.
Year Five Pupils’ Perception Towards Higher Order Thinking Skills in Learning Mathematics
Authors: Shian Tay Ying , Rosli Roslinda
Published: May 2024

Higher-order thinking skills (HOTS) are the cognitive skills that mathematics should apply to fulfil current needs. Unfortunately, Mathematics achievement in Trends in International Mathematics and Science Study (TIMSS) has shown that the thinking ability of Malaysian pupils still needs improvement. Identifying pupils' perceptions of implementing HOTS in mathematics is essential. Thus, this study was conducted to determine Year Five pupils' perception towards implementing HOTS in terms of attitude, readiness and belief in Mathematics learning, as well as the differences in these three aspects based on gender. The survey study involved 142 Year Five pupils at a Sekolah Jenis Kebangsaan Cina (SJKC) in Johor Bahru district. The instrument used in this study is a questionnaire. The data was analysed using Statistical Package for Social Sciences (SPSS) software version 27. The descriptive statistical analysis results found that pupils’ perception towards HOTS in Mathematics in terms of Attitude and readiness are moderate. At the same time, pupils' perception towards HOTS in mathematics in terms of belief is high. The Mann-Whitney U test results found a significant difference in pupils’ attitudes towards HOTS in Mathematics based on gender. However, this study showed no significant difference in student’s readiness and belief towards HOTS in Mathematics based on gender. This study brings implications for educators in schools to realise the importance of modifying HOTS teaching practices by considering pupils’ perceptions.
A klinikai gyógyszerész szerepe az elektronikus gyógyszeradminisztrációban
Authors: Bertalan Ádám , Dinya Elek
Published: May 2024

A tanulmány a klinikai gyógyszerészek szerepét mutatja be az elektronikus gyógyszeradminisztrációs rendszer bevezetésében és működtetésében a Mosonmagyaróvári Karolina Kórház - Rendelőintézetben. A gyógyszeres terápia hatékonyságának és biztonságának növelése az egészségügyi ellátórendszer minden résztvevőjének jól felfogott érdeke. Kórházunkban a 20 éves múltra visszatekintő centralizált betegszintű gyógyszerelési folyamatának digitális adminisztrációval történő modernizálását tűztük ki célul. Az 1960-as évek óta bizonyított tény, hogy a gyógyszerészek bevonása a gyógyszeres terápia összeállításába és felülvizsgálatába pozitív hatást gyakorol a betegellátás hatékonyságára. A közlemény bemutatja a klinikai gyógyszerészek osztályos tevékenységét, és a gyógyszerelés folyamatát. Az új e-lázlap segítségével naponta 70-90 beteg gyógyszerelését rögzítettük digitálisan, jelentősen csökkentve a gyógyszerelési hibák és ezáltal a gyógyszerek okozta problémák valószínűségét. A papír alapú adminisztrációval összehasonlítva az e-lázlappal sikerült kiküszöbölnünk az adminisztrációs hibák 92%-át a gyógyszerelrendelés folyamatában.  A mérhető eredményeink alapján leszögezhetjük, hogy a klinikai gyógyszerészek kulcsszerepet töltöttek be a fejlesztés végrehajtásában és a folyamat fenntartásában egyaránt. A projektben az eredeti célon túlmutatóan gyógyszeradminisztráció mellett a gyógyszerészi kompetenciát is sikeresen terjesztettük ki azáltal, hogy a szükséges gyógyszerészi jelenlét magával hozta a gyógyszerészi revízió, és részben a gyógyszerelés egyeztetés kivitelezésének lehetőségét is.
Metabolite profiling of butterfly pea flower (Clitoria ternatea L.) in the flowering development phase
Authors: Juswardi  , Rina Yuliana  , Nina Tanzerina  , Harmida  , Hanifa Marisa  , Mustafa Kamal
Published: May 2024

The butter pea flower (Clitoria ternatea L.) has long been known as a medicinal plant because it contains various metabolite compounds, the content of metabolite compounds that are influenced by plant development. So it is necessary to conduct metabolomics profiling research to determine the metabolite compounds found in butterfly pea flowers in the flower bud, blooming, and wilting phases. Metabolite profiling from ethanol extract in the development phase of butterfly pea flowers in the bud, blooming, and wilting phases using GC-MS analysis identified 20 metabolite compounds each with butterfly pea flowers in the bud phase having the dominant compound Dihydroxyacetone, blooming flowers found the compound 3-O-Methyl-d-glucose, and n-Hexadecanoic acid compound withered flowers. Three dominant compounds were found in all development phases, namely 4H-Pyran-4-one, 2,3-dihydro-3,5-dihydroxy-6-methyl; Dihydroxyacetone; Benzoic acid, ethyl ester; and Dehydroxyacetone. The unique metabolite compound 4H-Pyran-4-one, 2,3-dihydro-3,5-dihydroxy-6-methyl is included in the flavonoid group, especially anthocyanin which has the potential to be an antioxidant, antibiotic, antidiabetic, anti-inflammatory, and immunomodulatory so it can be used as a natural coloring agent for functional foods or drinks and herbal medicines.
Autologous peripheral blood-derived orthobiologics: Different types and their effectiveness in managing knee osteoarthritis
Authors: Gupta Ashim , Jain Vijay Kumar
Published: May 2024

Knees are the most commonly impacted weight-bearing joints in osteoarthritis (OA), affecting millions of people worldwide. With increasing life spans and obesity rates, the incidence of knee OA will further increase, leading to a significant increase in the economic burden. Conventional treatment modalities utilized to manage knee OA have limitations. Over the last decade, the role of various autologous peripheral blood-derived orthobiologics (APBOs) for the treatment of knee OA has been extensively investigated. This editorial provided an overview and focused on defining and shedding light on the current state of evidence based on the most recent published clinical studies concerning the use of APBO for the management of knee OA. While numerous studies have demonstrated promising results for these preparations, a notable gap exists in the comparative analysis of these diverse formulations. This absence of head-to-head studies poses a considerable challenge for physicians/surgeons in determining the optimal preparation for managing knee OA and achieving sustained long-term results. Thus, more adequately powered, multicenter, prospective, double-blind, randomized controlled trials with longer follow-ups are needed to establish the long-term efficacy and to aid physicians/surgeons in determining the optimal APBO for the management of knee OA.
Translation and Validation of Edinburgh Handedness Inventory in Urdu Language for Cerebral Palsy
Authors: Ramzan Faiqa , Waqas Shoaib , Ahmed Muhammad Waqas , Tariq Muhammad , Niamat Atiqa , Asim Hafiz Muhammad
Published: May 2024

Aim: To translate and validate EHI in Urdu language. Methods: Non-probability convenient sampling approaches used in a descriptive cross-cultural validation research design. The study also included twenty parents of children with cerebral palsy and specialists in pediatric rehabilitation. An English professor or physician completed the back translation, while two separate multilingual translators translated EHI forward into Urdu. These translators were proficient in both Urdu and English. An expert panel committee created and approved the final version of EHI in Urdu. The consent of the guardian acquired beforehand, and confidentiality ensured. The SPSS version 21 used to input and analyzes the data, and a pretest sample of 150 people used1. Result: For reliability statistics, the mean age of participants was 40.4 with standard deviation of 15.994 and Cronbach alpha of EHI questionnaire after translation was 0.943 or after testing on parents of cerebral palsy patients was 0.964 andcontent validity also showed good content validity ratio which was 0.72. Pearson correlation showed an excellent test-retest reliability and internal consistency 0.946 and after testing intraclass correlation varied from 0.523 to 0.956-show high reliability respectively. Conclusion: The Urdu version of EHI is a valid and reliable tool for Urdu speaking population of Pakistan. Keywords: Cerebral palsy, Edinburgh handedness inventory, Ghurki trust teaching hospital, Lahore College of physical therapy
Clinicopathological Profile of Patient with Solitary Thyroid Nodule Presented to OPD at a Tertiary Care Hospital Pakistan
Authors: Khan Azmat Ali , Babar Bakht , Khan Jamal Ahmad , . Sana , Khan Zakirullah
Published: May 2024

Objective: To determine the clinicopathological profile of patient with solitary thyroid nodule presented to opd at a tertiary care hospital Pakistan Study Design: Cross sectional study Settings: Department of Diabetes and endocrinology, Hayatabad Medical Complex, Peshawar Materials & Methods: Patients with confirmed diagnosis of a solitary thyroid nodule through imaging or clinical examination were included. Patients with a history of thyroidectomy or thyroid cancer, those with multiple thyroid nodules were excluded. Results: The mean age of the patients in the study was 48.7 years (SD = 2.11). In terms of gender, 42.4% were female, while 57.6% were male. Swelling with dysphagia was reported by 25.6% of patients, swelling with pain by 20.8%, and swelling with fever by 1.6%. The distribution of thyroid nodule location revealed that 50.4% were in the left lobe, 48% in the right lobe, and a small percentage (1.6%) were bilateral. The ultrasonography findings of the patients revealed diverse characteristics of thyroid nodules. The most common were hypoechoic nodules, present in 38.4% of cases. Isoechoic nodules were observed in 26.4%, while mixed echogenicity was noted in 17.6% of patients. A smaller proportion, 9.6%, exhibited thyroid nodules with cystic components. A significant proportion, 57.6%, yielded benign results, while 22.4% were categorized as suspicious. Practical Implication: Understanding the clinicopathological profile of patients with solitary thyroid nodules presenting at a tertiary care hospital in Pakistan can aid in refining diagnostic and treatment strategies, ultimately improving patient outcomes and reducing unnecessary interventions. Conclusion: In conclusion, our study on the clinicopathological profile of patients with solitary thyroid nodules at a tertiary care hospital reveals a diverse presentation of clinical and ultrasonographic features. Keywords: Solitary thyroid nodule, Clinicopathological profile, Ultrasonography, Fine-Needle Aspiration, Thyroid Disorders
Diagnostic Accuracy of CSF and Blood Glucose Ratio in Diagnosis of Bacterial Meningitis in Children Using CSF Culture as Gold Standard
Authors: Raza Afsheen Batool , Safder Muhammad Rizwan , Khalid Novera
Published: May 2024

Aim: To find the diagnostic accuracy of CSF and blood glucose ratio in diagnosis of bacterial meningitis in children using CSF culture as gold standard. Study design: Cross sectional study Setting and duration: The study was conducted in the department of Pediatric Emergency Medicine, The Children’s Hospital and the Institute of Child Health, Lahore, from 15 May 2021 to 15 February 2022. Methods: A total of 140 children aged 1 month up to 14 years with clinical features suggestive of meningitis was selected. The patients underwent a lumbar puncture after getting consent from parents. The emergency laboratory examinations performed for their predictive value for bacterial meningitis as follows: CSF total cell count, CSF mononuclear cell count, CSF polymorphonuclear cell count, CSF polymorphonuclear/total cell ratio, CSF glucose, CSF/blood glucose ratio. The treatment was then readily started as per protocol for the presumptive diagnosis. Results: Amongst 145 cases, 51.72%(n=75) were upto 6 years of age while 48.28%(n=70) were between 7-14 years of age, mean+sd was calculated as 6.58+3.15 years, 60% were male and 40%(n=58) were females, mean CSF/Blood glucose ratio was calculated as 0.31+0.08. The diagnostic accuracy of CSF and blood glucose ratio in diagnosis of bacterial meningitis in children using CSF culture as gold standard was recorded as 90.32%, 90.36%, 87.5%, 92.59% and 90.34% for sensitivity, specificity, positive predictive value, negative predictive value and accuracy rate. Conclusion: Through the findings of this study, we concluded that the diagnostic accuracy of CSF and blood glucose ratio in diagnosis of bacterial meningitis in children using CSF culture as gold standard is higher but needs its validation through some other local trials in absence of previous data. Keywords: Bacterial meningitis, CSF culture, CSF/blood glucose ratio, Diagnostic accuracy
Rezension von: Kolesch, Hermann, Das altoberschwäbische Bauernhaus
Authors: Schumm Karl , Kolesch Hermann
Published: May 2024

Hermann Kolesch: Das altoberschwäbische Bauernhaus. Nachwort von Adolf Schahl. (Volksleben Bd. 17). 312 S. Ill. DM 17,80
Rezension von: Diegritz, Theodor, Lautgeographie des westlichen Mittelfrankens
Authors: Hampele Walter , Diegritz Theodor
Published: May 2024

Theodor Diegritz: Lautgeographie des westlichen Mittelfrankens. (Schriften des Instituts für fränkische Landesforschung an der Universität Erlangen-Nürnberg, Band 14). Neustadt a. d. A.: Degener 1971. 383 S., 29 Karten.
Rezension von: Fleischhauer, Werner, Renaissance im Herzogtum Württemberg
Authors: Wunder Gerd , Fleischhauer Werner
Published: May 2024

Werner Fleischhauer: Renaissance im Herzogtum Württemberg. Stuttgart: Kohlhammer 1971. 484 S. 241 Abb. DM 58,-
Rezension von: Valentien, Freerk, Untersuchungen zur Kunst des 12. Jahrhunderts im Kloster Komburg
Authors: Grünenwald Elisabeth , Valentien Freerk C.
Published: May 2024

Freerk Valentien: Untersuchungen zur Kunst des 12. Jahrhunderts im Kloster Komburg. Freiburger Phil. Diss. 1963. Magstadt 1965.
Rezension von: Oettinger, Wilhelm, Ebrach und Erlenbach bei Neckarsulm
Authors: Wunder Gerd , Oettinger Wilhelm
Published: May 2024

Wilhelm Oetinger: Ebrach und Erlenbach bei Neckarsulm. (Würzburger Diözesan-Geschichtsblätter 34, 1972, S. 59-77).
Rezension von: Henning, Eckart, Die @Entwicklung der Landesherrschaft zwischen dem nördlichen Thüringer Wald und dem südlichen Maingebiet am Beispiel der Grafschaft Henneberg (1078-1583)
Authors: Wunder Gerd , Henning Eckart
Published: May 2024

Eckart Henning: Die Entwicklung der Landesherrschaft zwischen dem nördlichen Thüringer Wald und dem südlichen Maingebiet am Beispiel der Grafschaft Henneberg (1078-1583). (Mainfränkisches Jahrbuch für Geschichte und Kunst 24, 1972, S. 1).
Illiberal Constitutionalization and Scholarly Resistance: The Cases of Israel and Hungary
Authors: Halmai Gábor
Published: May 2024

This paper explores the role of constitutional scholars in resisting illiberal constitutionalization attempts or combating existing illiberal constitutional systems. I use Israel as a case study for the former and Hungary for the latter scenario. In Israel, following the initiation of a judicial reform by the new government of Benjamin Netanyahu in early 2023, supported by far-right nationalist and ultra-Orthodox parties with the aim of dismantling the separation of powers and establishing an unbound executive, constitutional scholars, alongside street protesters, voiced their opposition to illiberalism. Since the start of the war in Gaza, triggered by Hamas’ attack on Israel in October 2023, it became evident that the Palestinian issue also calls for a constitutional solution. In stark contrast, Hungary has seen minimal resistance after the enactment of the Fundamental Law in April 2011, Viktor Orbán’s new constitution for an illiberal regime. The paper investigates the role of constitutional scholars in both countries in seizing or missing the constitutional moment.
ТҮРКІСТАН ОБЛЫСЫНДА ДӘРІЛІК ПІШЕНДІ БОЙДАНА (TRIGONELLA FOENUM-GRAECUM L.) ӨСІМДІГІН МӘДЕНИ ӨСІРУ
Authors: Әбілова А.А. , Орынбасарова К.К. , Турметова Г.Ж.
Published: May 2024

Мақалада Trigonella foenum-graecum L. өсімдігін Түркістан облысы Қасқасу және Ынтымақ учаскелерінің климаттық жағдайларында ашық далада өсіру нәтижелері сипатталған. Пішенді бойдана өсімдігі дамудың толық циклынан өтті: олар генеративті кезеңге жетті, жеміс берді және өміршең тұқымдар берді. Зерттеудің мақсаты. Түркістан облысы Қасқасу және Ынтымақ учаскелерінде пішенді бойдананы (Trigonella foenum-graecum L.) мәдени өсіру мүмкіндігін зерттеу, өсіру технологиясының элементтерін әзірлеу, сапалы тұқымдар алу және салыстырмалы тәжірибе жүргізу. Материалдар мен әдістер. Зерттеу нысаны ретінде 2023 жылы Түркістан облысында «Индия» сортының тұқымдарынан егілген пішенді бойдана (Trigonella foenum-graecum L.) өсімдігі алынды. Егу жұмыстары 2023 жылдың 24 сәуірінде Ынтымақ учаскесінде және 6 маусымында Қасқасу учаскесінде жүргізілді. Дамудың фенологиялық ерекшеліктері бір вегетациялық маусымда бақылау әдісімен зерттелді. Нәтижелер мен талқылаулар. Алғашқы өскіндер Ынтымақ учаскесінде 15 күннен кейін Қасқасу учаскесінде 8 күнде шықты. Бутонизацияның жаппай басталуы еккеннен соң 3-4 аптадан соң, гүлдеу 4 аптадан соң басталды. Жемістің жетілуі, толық жетілуі және вегетация соңы жалпы Ынтымақ учаскесінде 2-2,5 және Қасқасу учаскесінде 4 айға жуық уақытты алды. Trigonella foenum-graecum L. дәрілік өсімдігін Түркістан облысы Қасқасу және Ынтымақ учаскелерінің климаттық жағдайларында өсіру мүмкін екендігі анықталды.
ЭВЕРСМАНН ТОРСЫЛДАҒЫ⁪ Д⁪ӘРІЛІК Ө⁪СІМДІГІНІҢ М⁪ИНЕРАЛДЫҚ Қ⁪ҰРАМЫН А⁪НЫҚТАУ
Authors: Омирзакова Н.К. , Киекбаева Л.Н. , Ахтаева Н.З. , Датхаев У.М. , Нұржанова М.А. , Мәден Н. , Садыков Б.Н.
Published: May 2024

Әдебиеттік шолу және интернет көздері – соңғы жылдары көрсеткендей Қазақстанда өсетін Leontice туыстарының фитохимиялық зерттеулері мен экстракт белсенділігінің зерттеулері өте аз, яғни әдеби деректердің көбі шетел авторлары еншісінде екені белгілі болды. Зерттелінген жұмыстар бойынша құрамында алколоиды елеулі көп болуымен ерекшелінетін түр Leontice leontopetalum және Leontice smirnowii. Алдын ала фитохимиялық құрамы мен белсенділік туралы жүргізілген зерттеулерді талдай келе көптеген, әсіресе Қазақстанда өсетін Leontice 4 түрінің ішіндегі Қазақстандық эндемикалық түр: L⁪eontice E⁪wersmanni туралы ақпарат жоқ. Макро және микроэлементтердің өсімдіктердің құрамында болуы өсімдіктің мүшесінен, өсімдіктің өсу фазасына және өсу аймағына тікелей байланысты екендігі белгілі. Эверсманн торсылдағы өсімдігінен алынған нәтижелер жалпы заңдылықты бұзбайды, оған сәйкес минералды композиция биологиялық белсенді заттардың белгілі бір топтарының жиналуына әсер етеді.
МЕТАБОЛИЗМДІК СИНДРОМЫ БАР АДАМДАРДЫҢ КОГНИТИВТІК ЖӘНЕ ПСИХОСОМАТИКАЛЫҚ БҰЗЫЛЫСТАРЫМЕН БАЙЛАНЫСЫ: ӘДЕБИ ШОЛУ
Authors: НЕМЕТОВА Д.Б. , ЖҮНІСОВА М.Б. , НҰСҚАБАЕВА Г.О. , САДЫКОВА К.Ж. , БАБАЕВА А.С. , АЙДАРБЕКОВА Д.Н. , ТУРМАНБАЕВА А.А.
Published: May 2024

Соңғы жылдары метаболизмдік синдром және оның симптомдар кешенінің артуы қоғамның өзекті мәселесіне айналды және медицинаның әртүрлі салаларындағы мамандардың назарын аударуда. Метаболизмдік синдром мәселесінің өзектілігі таралудың артуына да, оның әлеуметтік маңыздылығына да байланысты, өйткені метаболизмдік синдром компоненттері бүкіл әлемдегі халық арасындағы өмір сүру ұзақтығы мен өлім көрсеткішіне айтарлықтай әсер етеді. Бұл әдеби шолуда метаболизмдік синдромы бар адамдарда когнитивтік және психосоматикалық бұзылыстар арасындағы байланыс анықталған, соңғы алты жылда жарияланған мақалалар қаралды. Нәтижесінде метаболизмдік синдромы бар адамдарда когнитивтік бұзылыстары, депрессия және стресс деңгейімен тікелей байланысы анықталды. Метаболизмдік синдром — жүрек-қантамыр ауруларына себеп болатын метаболизмдік бұзылыстардың жиынтығынан тұрады. Метаболизмдік синдром компоненттерін абдоминальды семіздік, артериалды гипертензия, көмірсу алмасуының бұзылысы және дислипидемия құрайды. Қазіргі уақытта метаболизмдік синдром бар адамдарда когнитивтік және психосоматикалық бұзылыстар қоғамдық денсаулықтың маңызды мәселесіне айналды. Зат алмасу бұзылыстары, жүрек-қан тамыр аурулары және мидың ауытқулары когнитивтік қызметтің төмендеуіне әкеледі. Есте сақтау, назар аудару, ойлау жас ұлғайған сайын бірте-бірте төмендейтіні анық және бұл өзгерістер метаболизмдік синдроммен тікелей байланысты екені зерттелуде. Депрессия және стресске шалдыққан адамдар физикалық белсенділіктің азаюына байланысты салмақтың өсуіне, дұрыс емес тамақтануға, қант диабеті және жүрек-тамыр ауруларына шалдығады. Көптеген зерттеулерде осы екі мәселенің өзара байланысы қарамақайшы нәтижелерді көрсетеді. Психосоматикалық бұзылыстар денсаулық сақтау саласының ауқымды проблемасы ретінде жан жақты зерттеуді талап етеді, ол өз кезегінде метаболизмдік синдромы бар науқасты дұрыс жүргізуге және асқынулардың алдын алуға көмектеседі.
РАЗРАБОТКА ТЕХНОЛОГИИ И АНАЛИЗ ЖИДКОГО ЭКСТРАКТА ИЗ ЛИСТЬЕВ МАРИ ОБЫКНОВЕННОЙ (CHENOPODIUM ALBUM L.), ПРОИЗРАСТАЮЩЕЙ В КАЗАХСТАНЕ
Authors: Калабаева Б.Б. , Базарбаева М.Ж. , Касенов А.О. , Калыкова А.С. , Тургумбаева А.А. , Картбаева Э.Б. , Жакипбеков К.С. , Енсебаева Г.Б.
Published: May 2024

В статье представлен ультразвуковой способ получения жидкого экстракта из листьев Мари обыкновенной, собранного на территории Казахстана, в Алматинской области в Енбекшиказахском районе. Проведен качественный и количественный анализ полученного экстракта из листьев Мари обыкновенной, и определены оптимальные технологические параметры экстракции: 45 ℃, 40 мин, 28 Гц. По результатам хроматографического анализа экстракта (Chenopodium album L.) в большом количестве были выделены ненасыщенные жирные кислоты (9,12-октадекадиеновая кислота -13,36 %, 9-октадеценовая кислота-,(E)-8,62%) , фитостерины (γ-ситостерин-8,35%) метиловый и этиловые эфиры (4,48%).
АНАЛИЗ РИСКОВ В ПРОЕКТИРОВАНИИ ФАРМАЦЕВТИЧЕСКОГО ПРОИЗВОДСТВА МЯГКИХ ЛЕКАРСТВЕННЫХ ФОРМ
Authors: Касенов А.О. , Калыкова А.С. , Картбаева Э.Б. , Тургумбаева А.А. , Калабаева Б.Б. , Базарбаева М.Ж. , Жакипбеков К.С.
Published: May 2024

Статья посвящена анализу рисков и их управлению в контексте концептуального проекта в фармацевтической отрасли. В условиях постоянных изменений и конкурентной борьбы, эффективное управление рисками становится важной составляющей успешной реализации проектов. Объектом исследования стали мягкие лекарственные средства, представляющие собой важную часть фармацевтической продукции. Анализ начинается с установления основных требований к качеству лекарственных препаратов, таких как безвредность, химическая чистота, стерильность, пролонгированность действия и другие. Для обеспечения данных требований проводится предварительная подготовка, специальная обработка и очистка исходного сырья, а также организация системы риск-менеджмента на предприятии. Исследование охватывает методы и этапы анализа рисков, включая идентификацию рисков, их оценку с использованием как качественного, так и количественного подхода. Особое внимание уделяется планированию мер реагирования на риски, мониторингу и контролю за ними, что позволяет установить, какие риски могут быть приемлемыми, а какие требуют дополнительных мер по управлению. Важным выводом исследования является то, что большинство обнаруженных рисков в рамках концептуального проекта оказались приемлемыми, что свидетельствует о высоком уровне подготовки к управлению рисками на предприятии. Однако, подчёркивается необходимость непрерывного мониторинга и контроля над рисками, чтобы обеспечить устойчивость проекта к возможным изменениям и вызовам. Таким образом, практический обзор рисков в рамках концептуального проекта в фармацевтической отрасли, показывает важность эффективного управления рисками для достижения успешных результатов и минимизации негативных воздействий на развитие и совершенствование фармацевтической продукции.
ТІКЕНДІ ЖҮЗГІН (CALLIGONUM SETOSUM L.) НЕГІЗІНДЕ СЫҒЫНДЫ АЛУ ЖӘНЕ САПАСЫН БАҒАЛАУ
Authors: Базарбаева М.Ж. , Қалабаева Б.Б. , Касенов А.О. , Тургумбаева А.А. , Картбаева Э.Б. , Калыкова А.С.
Published: May 2024

Бұл жұмыста этил спиртінің әртүрлі концентрацияларында тікенді жүзгін (Calligonum setosum L.) өсімдік шикізатынан сұйық сығынды алып, сынамалық және қағаздық әдістермен сапалық талдаулар нәтижелері келтірілген. Сонымен қатар алынған сығындылардың шығымы өлшеніп, зерттеуді жалғастыру үшін, 50%-дық сулыспиртті сұйық сығындылардың химиялық құрамы масс-спектрометриялық детекторы бар GC-MS газ хроматографиясы әдісімен зерттелді. Алынған нәтижелерге сәйкес, сығынды құрамында көп мөлшерде фенол, гидрохинон, катехол және глицерин кездесетінін анықтадық. Алынған зерттеу нәтижелерінің негізінде ультрадыбыстық экстракция әдісімен сығынды алып, биологиялық белсенді заттардың анықталуына байланысты дәрілік қалып жасау және фармакологиялық әсерін зерттеу жұмыстары жүргізілетін болады.
АНАЛИЗ СИСТЕМНОГО НАЗНАЧЕНИЯ АНТИПСИХОТИКОВ ДЛЯ ПАЦИЕНТОВ С ШИЗОФРЕНИЕЙ
Authors: РАХМАНКУЛОВА М.Т. , АХЕЛОВА Ш.Л. , ЕСИМОВ Н.Б. , ЕСИМОВА А.Д. , ИЗМАИЛОВА Н.Т. , КДРСИХОВ Е.Е. , АСИЛЬБАЕВА Д.А.
Published: May 2024

В статье затронуты актуальные темы заболевания психическим заболеванием – шизофрения. Рассмотрены проблемы системного назначения лекарственных средств, специалистами в области лечения психических заболеваний. Затронуты проблемы распространенности психических заболеваний в Республики Казахстан. Также в статье предоставлены результатов онлайн — опроса специалистов, по назначению антипсихотических препаратов в Республики Казахстан для лечения психического заболевания.