bluuebunny/crossref_metadata_2025 huggingface dataset:
IOT FOR DATA COLLECTION: REVOLUTIONIZING INFORMATION GATHERING
Authors: Sanjeev Kulkarni Archana , Jagdish H Godihal Professor
Published: June 2024

The Internet of Things (IoT) has emerged as a groundbreaking technology that has revolutionized the way data is collected across various industries and domains. In this chapter, we delve into the extensive utilization of IoT for data collection, examining its numerous benefits, challenges, and the significant impact it has had on different sectors. By exploring the capabilities of IoT-enabled devices and sensors, we witness the creation of an extensive network of interconnected systems that facilitate seamless data gathering and analysis. Furthermore, we address the critical concerns regarding the security and privacy of IoT data collection, proposing potential solutions to establish a sustainable and secure IoT ecosystem. To showcase the true potential of IoT for data collection, we provide real-world use cases that demonstrate its profound implications for future advancements in numerous fields. The Internet of Things has transformed the way data is collected, allowing for a highly interconnected ecosystem of devices and sensors. These IoT-enabled devices are capable of collecting and transmitting data seamlessly, enabling organizations to gather valuable insights and make informed decisions. One of the significant benefits of IoT-based data collection is the ability to collect data in real-time. This real-time data enables businesses to gain immediate visibility into their operations, leading to improved efficiency, proactive maintenance, and enhanced decision-making processes. By exploring real-world use cases, this chapter aims to demonstrate the potential of IoT for data collection, highlighting its profound implications for future advancements in various fields.
A SURVEY ON DIGITAL TWINS TO TRACK FOOD QUALITY
Authors: Poornima Galiveeti , Sukruth Gowda M A Dr.
Published: June 2024

Making materials into finished items is extremely complex due to the multiple chemo-physical, biological, and physical properties that must be controlled all through the food production cycle. Production must also modify processes to account for the ingredients’ variability, for instance when the raw materials quality materials varies seasonally. ”Digital twins” are a modelling, simulation, and optimization method that may be used for a variety of processes in the context of Industry. The concept of a ”digital food twin” and how it can benefit the food business are described in this vision paper. A digital twin must consider not just the processing steps as well as the biochemical, physical, or microbiological elements that affect the meal by themselves because the raw components can vary. after processing is complete. Using a method known as food processing modelling and simulation, we will demonstrate a hybrid modelling technique in this study that integrates the traditional model and simulation of the physical and biochemical elements of food. a machine learning-based, data-driven technique that analyzes the data. This study offers a conceptual framework for our idea of a digital twin based on wearable gadget technology and artificial intelligence that is understood. Four separate case examples are used to discuss the possibilities, and open research projects are derived.
A BRIEF REVIEW ON BIOSYNTHESIS, EXTRACTION AND PURIFICATION OF MICROBIAL MELANIN AND ITS INDUSTRIAL APPLICATIONS
Authors: Sundararajan Priya , Ramasamy Shanmuga Priya
Published: June 2024

Melanin is an ideal class of biological pigment having huge industrial significance. Owing to its intrinsic properties, it could act as a photo-protector, antioxidant, biosorbent and colourants. In addition, it exhibits various therapeutic properties like antimicrobial, anticancer, hepatoprotective and hypolipidemic effects. Hence, it is widely used in various industries, including dyeing, food, medical and cosmetic industries. Melanin could be obtained by means of both synthetic and natural means. Because of the toxic issues in using chemical-based melanins, they have been restricted for commercial use. Thus, industrialists seek an effective alternative to replace synthetic melanins. In this regard, using microorganisms would be a promising source for melanin production due to its cost-effectiveness and eco-friendliness. Thus, this review is focused on the usage of melanogenic microbes for the extraction of microbial melanins and its usage in various industries.
BIOREMEDIATION AS A STRATEGY TO COMBAT SOIL POLLUTION
Authors: Sharma Sharali , Singh Gagandeep , Mehta Pankaj , Ranout Aditya Singh
Published: June 2024

Presently, soil pollution stemming from ongoing anthropogenic activities, swift industrialization, and the introduction of heavy metals constitutes a significant menace to human well-being and the environment, necessitating the implementation of effective remediation approaches. Notably, hydrocarbons and heavy metals represent recurring soil contaminants, posing detrimental repercussions for both the ecosystem and human health. Recent strides in bioremediation strategies strive to ecologically reinstate polluted environments, embodying advancements towards sustainability. Diverse bioremediation techniques, offering cost-effective, sustainable, and safer alternatives, have surfaced to counteract the escalation of environmental contamination. Employing microbes to expunge pollutants from tainted sites is a potent and dependable tactic, encompassing ex-situ and in-situ methods contingent upon site attributes, pollutant type, and quantity. Thus, the selection of an appropriate bioremediation approach becomes pivotal in achieving substantial reduction of pollutant levels. This article aims to furnish insights into varied bioremediation techniques, encompassing their applicability, limitations and future prospects.
EVOLUTION PROSPECTIVES OF BIOREACTORS
Authors: Preethi Dr. P. Sai , Hariharan Dr. N. M. , Devi Mrs. K. Jyothsna , Rameshpathy Dr. M.
Published: June 2024

Bioreactors are resourceful apparatus, simulating natural ambient conditions for the growth of cells in microbial or cell culture under optimal conditions and their volumetric capacity can be ranging from small, bench scale to large scale level. This chapter emphasizes the fundamentals of bioreactors with their major working parts and elucidates on the distinct types of conventional bioreactors in conjunction with the introduction of current modern bioreactors. Additionally, the current chapter updates the readers with the record of an assortment of modern bioreactors accessible in the market for their future uses.
EARLY PREDICTION OF VERICOSE VEIN CHRONIC DISEASE USING IOT
Authors: Selvi R. Kalai , Suganthi K. , Murunya T.S , Germeni Mrs. L. Selva Adaikala , Kurinjimalar Ms. K.
Published: June 2024

A disease which is to be closely monitored occurs mainly in legs due to circulation of blood is not proper which creates further problems to our body from legs to heart. This type of disease is a chronic disease and is termed varicose vein. Nearly 10 million people in India were affected by varicose vein. Blood in our body passes through the legs in affected veins is collected called statis which damages the blood value creates abnormal situation to the whole body. Varicose veins are inflammatory lesions on veins that occurs mostly on legs.many therapy methods are undergone to cure this problem. Technical methods such as the internet of things which plays a dominant role in prediction for detecting varicose veins and providing therapeutic treatment. The proposing system aims to provide an accurate and early diagnosis of varicose veins, which can help prevent further complications and improve the patient's quality of life. By using IoT, the system can provide real-time monitoring and analysis of the data collected from the sensors, which can help doctors and healthcare professionals make informed decisions regarding the treatment of varicose veins. The therapeutic treatment provided by the system, which includes a Peltier crystal and a vibrator, aims to alleviate pain and discomfort associated with varicose veins.
ECO-MATERIALS
Authors: Mehta Jimmy , Hooda Yaman , Mehta Sahil , Gupta Pallav
Published: June 2024

Eco materials represent an evolving domain situated at the convergence of materials science and environmental sustainability, seeking to redefine the conceptualization, production, and utilization of materials. Escalating ecological apprehensions and a global imperative for sustainable practices within diverse industries prompt this paradigm shift. Eco materials present a viable remedy, harboring the potential to ameliorate environmental impacts. Central to the ethos of eco materials is the prioritization of renewable resources, recycling initiatives, and the implementation of eco-friendly manufacturing methodologies. These strategies aim to curtail the carbon footprint inherent in conventional material production. Biomimicry is pivotal in eco-material development, harnessing inspiration from nature's adept and sustainable designs to devise innovative solutions. This not only enhances material performance but also curtails dependence on non-renewable resources. Salient attributes of eco materials encompass biodegradability, recyclability, and adherence to cradle-to-cradle life cycles, aligning seamlessly with the circular economy's principles. Researchers are actively investigating avant-garde materials like bioplastics, recycled composites, and sustainable alloys, exhibiting properties either comparable or superior to conventional counterparts. The applicability of these materials spans diverse sectors, encompassing construction, packaging, electronics, and transportation. Beyond addressing environmental concerns, eco materials cater to the evolving consumer landscape, characterized by a heightened demand for eco-conscious products. As global entities increasingly acknowledge the imperative of adopting sustainable practices, eco-materials are poised to be pivotal in shaping an environmentally responsible future. The ongoing research and development in this sphere hold the potential to unlock unprecedented possibilities, pushing the boundaries of material capabilities and fostering a harmonious coexistence with our planet.
EXPERIMENTAL STUDIES ON THE USE OF PYKRETE (FROST MATERIAL) AS A CONSTRUCTION MATERIAL
Authors: Murugesh Dr. V , Kumar Dr. A , Hari G S , Sadhasivam M , Sivaraman K
Published: June 2024

It involves using ice as a building material but also comes with certain restrictions. In comparison to traditional building materials, ice exhibits an excessive creep behaviour and is a comparatively weak substance. Even in the coldest region, prompt protection is required due to the considerable temperature dependence of the mechanical characteristics of ice. It has been discovered that by creating artificial ice composites, the qualities of ice and sea ice may be reinforced. The categorization of the different ice reinforcing techniques is shown. Despite several articles on the subject, applications for ice composites are somewhat restricted. The report gives a summary of all current ice structure-related building techniques.Only two forms of ice composites, including pykrete and ice reinforcement, have now been used effectively in the engineering of structures for a variety of tasks. There is a brief overview of these initiatives. The projects' or the "Pykrete Dome's" description is expanded. Finland is home to the biggest pykrete dome ever built. Pykrete suggested it as a potential material for a massive aircraft carrier during the first world war. Due to its limited thermal conductivity, Pykrete has peculiar characteristics such as a comparatively slow melting rate and much higher strength and toughness compared to ice. If the substance is kept frozen, these physical characteristics may allow it to be compared to concrete. Pykrete swells during the freezing process, making it a little difficult to create than concrete. Sea water may be used as a raw resource for maintenance and repair, though. If stored at or below freezing temperature, the mixture may be moulded into any shape and frozen; it will remain strong and
SHEAR BEHAVIOUR OF GEO-POLYMER CONCRETE COLUMN BY USING ANSYS & MATLAB SOFTWARE
Authors: K. N Prasad , K. P Deepika , G. C Arpitha
Published: June 2024

The purpose of the project work is to study the shear behavior of a column made by reinforced cement concrete when they are subjected to uniaxial loading. The analysis of the reinforced cement concrete column is done by a Finite Element Software known as ANSYS. The prediction of the shear behavior is done through another software known as MATLAB by using artificial neural network. The inputs data for the software were collected from the experiments conducted on columns and the lateral ties are provided according to IS:456-2000 at clause number 26.5.3.2(c) also the failure of column’s longitudinal reinforcement by shear failure without yielding. As the studies are made limited on this shear behavior analysis we are affordable with limited number of literature. Analysis of shear behavior are depending upon wrong assumptions on model used for the analysis, and the results are very much conservative, and the empirical conservative rules are essential for the technical codes. In this research, the analysis is done through ANSYS software and the prediction is done through the ANN technique for the created model to get the results of shear strength of columns. The analysis is done for Geo-polymer concrete Column (GPC). The analysis of physical model and shear strength values are obtained very accurately with minimized errors. Finally, it shows the ANASYS software displaying the shear behavior results specifically.
NONLINEAR DYNAMIC NETWORK TOPOLOGY CONSTRUCTION FOR IDENTIFYING DISTANCE ESTIMATION BASED ON HILBERT QUEUING ALGEBRAIC MODEL FOR NETWORK COMMUNICATION
Authors: Rajeswari V. Rajeswari , Nithiya Dr. T.
Published: June 2024

The development network structure creates complex topology for non-residual communication due to nonlinear communication sinks one over the other. By identifying the dynamic network distance is difficult because the nonlinear structure creature mitigated structure. Most of the distance theory algebraic models failed to reduce the analytical process for identifying best solution for path construction because of data Queuing are non-analytical process. To resolve this problem, we propose Nonlinear Dynamic network topology (NLDNT) construction for identifying distance estimation based on Hilbert Queuing Algebraic model (HQAM) for network communication. Initially the Barrier Log Neighbor path utility analysis (BLNPUA) gets the node possibility of transmission. To get the closest support node using Distance estimation of convergence based on Hilbert and estimated through Laplacian scale (LS) procedere to get the node covergence. Then the Linearity path construction analyses in M/M/G-k-queuing make support node to construct the neighbor path to make efficient transmission. The proposed mathematical algebraic model reduce the analytical process burden to provide equivalence support to identifying the structural path to transfer the data to less time and network improvement than other analytical solution. This proposed system produce high performance evaluation compared to the other systems.
PLAYING POKERs USING TSP METHOD
Authors: R Shobana.
Published: June 2024

The majority of the time, a deck of 52 cards is utilized in games of poker, since there is going to be betting involved. In this way, we may look at the game's logic mathematically even though it seems to be based on whim and unpredictability. We utilized the TSP (Traveling Salesman Problem) approach to solve n-person games while playing the poker game. This strategy shortens the duration of a game of poker while reducing the chance of dropping a sizable sum. Casinos may adhere to unique regulations, although a home game might operate the same game entirely differently. Additionally, there are various different types of poker games, and there are several types and even localized versions of the same game under each type of game
AN OPTIMUM SOLUTION WITH HEXAGONAL NUMBERS BY USING DOMINANCE PROPERTY
Authors: Preethi K.
Published: June 2024

In this paper approaches the method to solve dominance property consider the matrix game taken as Hexagonal fuzzy numbers and using ranking technique. It has different ways to this matrix game solved by dominance property. The intent of this research is to identify the value of the game.
QUADRATIC RESIDUES OF COMMUTATIVE RINGS
Authors: P Shakila Banu , T Suganthi
Published: June 2024

The organization of the quadratic residues and non-residues of a ring is introduced in this study as ZP+wZp+w2Zp+…+wk=1Zp, wk=1, p=2, 3. We discover the universal formula for the ring's total number of quadratic residues. By integrating graph theory with algebraic concepts, certain complete graphs were discovered in the ring.
ARRHYTHMIA DETECTION USING MACHINE LEARNING & DEEP LEARNING
Authors: Kawade Virja , Naikwade Vedant , Saadhwani (Dr. Sharda Chhabria) Dr. Sakshi
Published: June 2024

Worldwide, heart disease continues to be the primary cause of death, necessitating the creation of reliable predictive technologies to identify people who are at high risk. Machine learning algorithms have recently become effective tools for predicting cardiac disease, taking use of their capacity to examine intricate patterns within big datasets. With a focus on their methodology, performance, and clinical consequences, this in-depth review intends to evaluate the state-of-the-art in machine learning-based prediction models for heart disease risk assessment. Arrhythmia is one such cardiovascular disease that can go undetected if not monitored continuously. In this study, a novel method for the detection of irregular heartbeats, is proposed that willl help in the diagnosis of Arrhythmia. A deep learning based approach is carried out by making use of a 1D Convolutional Neural Network, that is trained on the MIT BIH Arrhythmia Database. In the final prediction task, heartbeat signal is classified into one of the two classes: Normal and Arrhythmia. The accuracy obtained for the 1D CNN is 0.985.
CONTEMPORARY TRENDS IN RESEARCH ON SENTIMENT ANALYSIS
Authors: Das Silvia
Published: June 2024

Sentiment analysis research has been started in the 2000s and now it is one of the most demanding fields in research. Sentiment analysis is a rapidly expanding domain in Natural Language Processing that seeks to derive subjective data from text. Sentiment analysis has gained attention in recent years for understanding human emotion or opinion expressed in the form of textual information. Over the previous few years researchers and practitioners, they talked about sentiment analysis with the help of deep learning models and machine learning algorithms. Sentiment analysis is divided into three stages aspect level, sentence level, and document levels. Sentiment analysis is spread in every domain such as political fields, marketing, and business purposes, and the most commonly used in social media. This book chapter is all about a thorough overview of sentiment analysis, the level of sentiment analysis, applications, methods, and techniques.
MACHINE LEARNING CLASSIFIER FOR INTRUSION IDENTIFICATION IN CYBER SECURITY APPLICATIONS
Authors: Sankar R. , Mary J. Joylin , Sivarajan S. , Balaji V.
Published: June 2024

Machine learning (ML) methodologies have been applied in many scientific areas due to their special traits, including adaptability, scalability, and the capacity to swiftly adapt to new and unexpected boundaries. Cyber security is a fast growing industry that needs a lot of attention because of the great improvements in social networks, and web technologies, online banking, mobile environments, etc. The many ML applications in cyber security are covered and highlighted in this article. This study examines a number of security-related topics, including network intrusion detection, evaluating the security properties of protocols, social network spam detection, energy use monitoring for smart metres, and security issues with machine learning algorithms itself. One of the most crucial steps in data analysis, data cleansing is the first phase of every ML project. In these situations, one-hot encoding produces very high dimensional vector representations, posing issues with memory and computational efficiency for ML models. Data normalisation is the process of proportionally scaling the data such that all values fall inside the desired range. It is discovered that Multi-Support Vector Machine (M-SVM) is the method with the greatest precision and accuracy. An Intrusion Detection System (IDS) is a sort of security tool that scans the system for suspicious activity and analyses network traffic before alerting the system or network administrator. The ID system ML algorithm performs the best with a Receiver Operating Characteristic (ROC) value of 0.961 compared to other ML algorithms.
A METHOD FOR ACHIEVING 99% AUTOVERIFICATION IN A TERTIARY CARE CANCER CENTER'S PRIMARY CLINICAL CHEMISTRY LABORATORY USING A STEP-BY-STEP PROCEDURE
Authors: Das Debdatta , Chakraborty Subhosmito
Published: June 2024

Autoverification may be a prepare whereby clinical research facility comes about are discharged without manual intercession. To control the dissemination of results, it makes use of pre-programmed computer rules like instrument error flags, interference indices, reference ranges, analytical measurement range (AMR), critical values, and delta checks. Middleware is utilized to perform autoverification. At our hospital, we present the implementation procedure and TAT improvement information. The TAT of a routine clinical chemistry metabolic panel from 2016 to 2017 is the subject of this study. Following the creation of the verification rules, the process was put into place by a team made up of quality managers, IT specialists, biochemists, and technologists. R software was used to collect and analyze the TAT data. In the study, a TAT reduction of about 50% was found to be significant, and >75% of the tests underwent autoverification. Other platforms and tests will eventually be included; they are currently in the works.
MACHINE LEARNING AND DEEP LEARNING APPLICATIONS
Authors: Amuthachenthiru Ms. K. , Kaliappan Dr. M. , Vimal Dr. S.
Published: June 2024

Machine learning and deep learning techniques have revolutionized various domains by enabling intelligent decision-making, pattern recognition, and complex data analysis. This comprehensive survey explores the diverse range of applications where these techniques have been successfully employed. We present an overview of machine learning algorithms and deep neural network architectures, highlighting their strengths and limitations. The survey encompasses applications in computer vision, natural language processing, healthcare, finance, robotics, and more. By discussing real-world case studies, we demonstrate how machine learning and deep learning have contributed to advancements in autonomous vehicles, medical diagnosis, fraud detection, sentiment analysis, and human-robot interaction. We also delve into challenges such as interpretability, data privacy, and model generalization that arise in deploying these technologies. The survey concludes by discussing emerging trends, research directions, and ethical considerations in the rapidly evolving landscape of machine learning and deep learning applications.
ASSESSMENT OF GROUNDWATER GEOCHEMICAL INTERACTIONS IN MUKKANI AND PALAYAKAYAL AREA EASTERN PART OF THAMIRABARANI DELTA, SRIVAIKUNDAM TALUK, THOOTHUKUDI DISTRICT, SOUTHERN INDIA
Authors: S Richard Abishek , A Antony Ravindran , S Muthusamy. , J Christinal , G.M Moorthy , R Sakthi Priya.
Published: June 2024

A hydro geochemistry technique was employed in the study, which was conducted in the southern part of the Srivaikundam region, to develop quality-based groundwater applications. The research area is observed using coastal sand and river alluvium. The suitability of groundwater for drinking and irrigation was assessed by studying its physical and chemical qualities. The data was collected on 15-point groundwater samples utilising hydrochemical parameters based on Box and Whisker plots, Ternary, Piper, and Wilcox plots. The Aquachem software was used to determine the kind of atmospheric agents, and thus the impact of rocks, the response to sedimentation and evaporation, and the composition of groundwater in the area. According to the aquifer chemical facies analysis, the majority of the water samples in the cation plot are of the calcium-magnesium facies. According to the aquifer chemical facies study, the majority of the water samples in the cation plot are of the calcium-magnesium facies type, with a few falling into the calcium-sodium facies type, while the anionic section has the chloride-sulphate-bicarbonate facies type. The hydrochemical and GIS methodologies were studied, and the results were displayed as spatial distribution maps in the study area. The fresh and saline composition of groundwater in a portion of the area was measured using a hydrochemical facies evolution diagram (HFE-D). The chemical composition of groundwater is generally deteriorating as a result of agricultural and anthropogenic activities. The majority of the groundwater samples are safe to drink and use in the home.
A REVIEW: STRUCTURAL STUDY OF ALKALI METAL OXIDEGLASSES
Authors: Meenakshi Dr. , Mann Deepika , Nain Deepika , Sonia Ms. , Asha Ms.
Published: June 2024

Glasses predominantly composed of alkali metal oxides like lithium oxide (Li2O), sodium oxide (Na2O), and potassium oxide (K2O) find extensive use in diverse fields owing to their distinctive characteristics. The innovative melt quench technique is used for creating the glass material. This review chapter likely delves into details of how the synthesis method is carried out. The classical melt quench method is used to analyse the glass containing alkali metal oxides. Indeed key parameters like melt quench temperature, cooling rate quenching media and other factors determine the resulting properties of alkali metal oxide throughout the stages of synthesis and processing. Alkali metal oxide such as lithium sodium potassium etc. properties varies on how they are prepared and processed. Modern analytical techniques are used to gain a complete understanding of these materials, including XRD (X-ray diffraction), FTIR (Fourier-transform infrared spectroscopy), and Raman spectroscopy. The XRD analysis offers valuable information of crystal structure and phase transitions. Additionally, the use of FTIR and Raman spectroscopy offers a thorough knowledge of the chemical bonds and functional groups present by providing vital information about the vibrational modes and molecular structure. This study seeks to increase understanding of alkali metal oxide materials and encourage their technological applications by examining the different parameters and material characteristics.
M-TYPE HEXAFERRITES ITS TYPES AND POSSIBLE APPLICATION
Authors: Islam Majahid Ul , Kossar Shahnaz , Paul Raj
Published: June 2024

In the recent year, the hexaferrite of the M-type has attracted a lot of attention due to its excellent magnetic properties, its high coercivity value, its exceptionally good chemical stability, corrosion resistance, and its high Curie temperature. Due to these exceptional properties M Type hexaferrite is used for many applications. In the present work, we have explained different types of hexaferrite especially M types hexaferrite their properties, and corresponding structure Hexaferrites like BaM, SrM, and PbM exhibit excellent properties that allow them to be used for microwave absorbers, media recorders, and other biomedical applications.
Analisis Problem Pembelajaran Matematika SMP “X” Kota Tangerang Selatan
Authors: Widiyanti Whida
Published: June 2024

This study is aimed at solving problems from the obstacles faced during learning. This research was carried out at SMP "X" Pondok Cabe Ilir, South Tangerang. This case study research was carried out during the learning process for 6 meetings in three weeks. The subject of this research was carried out in grade VII for the 2023/2024 school year with 22 students. The data used in this study was by collecting interview information, and observations in the classroom. This study uses qualitative descriptive by using the case study method, where observation, data collection, data analysis and reporting results are carried out. The results of the study show that there are several problems in mathematics learning that teachers face during the learning process, namely that students experience difficulties in understanding concepts, skill difficulties, and problem-solving difficulties. Difficulty understanding concepts from other students, namely, amplifying formulas. In the problem of skill difficulties, students experience difficulties in numeracy skills. In problem solving, students have difficulty solving problems in story problems. In addition to experiencing difficulties in learning, there are several other factors that make students experience difficulties in learning, including a lack of variety in the use of media or learning tools, a lack of motivation in students to learn more outside of class hours, and a lack of support from parents in accompanying students to study at home.
Hip Preservation in Sequelae of Septic Arthritis in the Newborn, Case Report
Authors: Vergara Mauricio , Riquelme José Pablo , Rivadeneira Alejandra , Gaggero María Catalina
Published: June 2024

Septic arthritis of the hip in newborn may cause severe sequelae that has a negative impact on daily living activities. We present a patient with septic arthritis of the right hip in the newborn period (NB) classified as type IV-A according to Choi, in order to increase coverage to prevent progression of subluxation and improve joint containment and stability, a Dega-type acetabuloplasty was performed at the age of 5 years old. The patient lost follow-up for five years, she consulted again and after clinical and radiological evaluation a pelvic support osteotomy was planned and performed at the age of 15 for hip preservation. We share the postoperative outcomes observed in a rare case with complications, following hip preservation surgery, with the long-term follow-up until 22 years old. This case shows that maintaining a stable hip between the femoral epiphysis and the acetabulum, allows to reduce complications, like lower limb length discrepancy (LLD) and worsening of the activity of daily living (ADL) and postponing, or preventing hip replacement at younger ages.
KLASİK TÜRK ŞİİRİNDEKİ ZÂHİD TİPİNİN BOSNALI SÂMİ’Î DİVANI’NA YANSIMALARI
Authors: Çakır Mustafa Sefa
Published: June 2024

Edebiyat ve hayat arasında karşılıklı bir ilişki söz konusudur. Hayatın şiiri etkilediği yönlerden birisi de şahıslar kadrosudur. Bazen gerçek şahıslar şiire girdiği gibi bazen de yine hayatta bir karşılığı bulunan ancak kurgusal ve hayalî olan tipler şiirde kendine yer edinmektedir. Klasik Türk şiirinde çeşitli tipler bulunmaktadır. Bu tiplerden birisi de "zâhid" tipidir. "Rind"in, âşığın ve dolayısıyla şairin karşısına konumlandırılmış olan zâhid; kaba, samimiyetsiz, anlayışsız ve hesapçı tavırlarıyla daima eleştiri oklarına hedef olmuştur. Normalde olumlu bir anlama sahip olan zâhid; zühdü, takvayı dolayısıyla dini yanlış anlaması yönüyle olumsuz bir tipoloji olarak şiire girmiştir. Şairler bu tipten zâhidin yanı sıra şeyh, vaiz, nâsih, hâce gibi çeşitli şekillerde bahsetmişlerdir.
17. yüzyıl şairlerinden Bosnalı Sâmi'î (ö. 1684-5) de divanında bu tipten çokça bahsetmiş ve onu oldukça eleştirmiştir. Zâhidi birçok özgün benzetmeye ve yaklaşıma konu eden Sâmi’î’ye göre harâbât ehline sürekli bir şeyler anlatma çabasında olan zâhid, onları dilinden düşürmemekte, rindlere baskı uygulamaktadır ancak gizliden

gizliye fırsat bulduğu zaman kendisi de eleştirdiklerini yapmaktadır. Zâhid; sarık, cübbe, asa ve tesbih ile sürekli riya yapmakta, insanları aldatmaktadır. İslam’ın özünü anlamaktan mahrum olan bu kaba softa tipolojisi kabuğa, dış görünüşe takılmıştır. İnsanları sürekli cehennemle korkutarak kendinden de dinden de uzaklaştırmaktadır. Vaiz illa birilerine nasihatte bulunacaksa sevgiliye tavsiyede bulunmalı ve ona aşığına cevr ü cefa etmemesini söylemelidir.
Bu çalışmada tüm bunlar ve başkaca örneklerden yola çıkarak klasik Türk şiirinde zâhid tipi ele alınacak, divanından hareketle Bosnalı Sâmi'î'nin ona yaklaşım şekli ortaya konulacaktır. Bu sayede klasik Türk şiirinde rind karşıtı olarak zâhid çalışmalarına katkı sunulacaktır.
Pathogenic Bacteria Associated With Periodontitis
Authors:   Department Of Oral Pathology, Faculty Of Dentistry, University Of Kufa, Mahdi Karar Abdulzahra , M. Abdulridha Wasnaa ,   Department Of Physics, Faculty Of Science, University Of Kufa, MOHI Ammar ,   Al-Farahidi University Iraq, Al-Fahham Ali A. ,   Corresponding Author, Faculty Of Nursing, University Of Kufa, Iraq
Published: June 2024

Oral pathogenic bacterial species have a direct impact the pathology of tooth decay and gum disease. Oral pathogenic bacteria engage in negative cooperation with the host by exchanging information, immunological responses, and metabolic status through bidirectional communication between the systemic organs and mouth cavity. The oral cavity serves as a crucial interface between the human body and the surrounding environment. The microbial compositions in different regions of the oral cavity vary due to the distinct microenvironments present. These microenvironments are influenced by a combination of intricate signals, hosts, and external ecological factors. This review highlights the causative bacterial agents that are responsible for adult periodontitis.
Laboratory Tests For The Diagnosis Of Breast Cancer
Authors:   Technical Institute Of Babylon, Al-Furat Al-Awsat Technical University (ATU), Iraq, Naser Salena Abdul Abbas , Assi Mohammed Abdulrazzaq ,   Department Of Anesthesia Techniques, College Of Health And Medical Techniques/ Baghdad, Middle Technical University, Iraq, Mohammed Shahad Saad ,   Technical Institute Of Babylon, Al-Furat Al-Awsat Technical University (ATU), Iraq, Al-Fahham Ali A. ,   Corresponding Author, Faculty Of Nursing, University Of Kufa, Iraq
Published: June 2024

Breast cancer (BC) has posed a significant threat to the general health of women globally, with its incidence and mortality rates showing a noticeable increase in China over time. Research indicates that the survival rate for early-stage breast cancer patients is significantly higher compared to those diagnosed at middle or late stages. Therefore, it is crucial to focus on research for the rapid diagnosis of breast cancer. Numerous diagnostic methods have been developed to date, primarily utilizing imaging and molecular biotechnology. These methods have greatly contributed to the diagnosis and follow up of BC. In this review article, a brief explanation has been introduced about the main laboratory methods that are recently used in the diagnosis of BC. It has been concluded that many diagnostic methods have been developed to detect breast cancer at different stages of the tumor. Some of these tests have been used to determine the appropriate chemotherapy method (e.g. molecular tests for gene changes), other are more generic in the determination of many tumor (e.g. complete blood count), while salivary methods are still controversial in the diagnosis of BC.
Analysis Of Determinants Related To Work Accidents In Nurses In Hospital Dr. Mm Dunda Limboto
Authors:   Department Of Public Health, Postgraduate, Gorontalo State University, Gorontalo City, Abdul Rosita , Ischak Netty Ino ,   Department Of Public Health, Postgraduate, Gorontalo State University, Gorontalo City, Lamondo Djuna ,   Department Of Public Health, Postgraduate, Gorontalo State University, Gorontalo City
Published: June 2024

Labor is a human resource which is a very important asset and is an inseparable element in the process of production service activities and other supporting elements (Mudjimu, 2019). Hospitals as a part of the health service system generally provide services to the community in the form of health services including medical services, medical support services, medical rehabilitation, and nursing services. This research aims to analyze the determinants of factors related to work accidents among nurses at RSUD. Dr. M.M Dunda Limboto . Analytical survey research method with a cross-sectional study design. The population is all RSUD ASN nurses. MMDunda Limboto has as many as 152 people. Sampling used Simple Random Sampling, the sample size was 110 people which was calculated using the Slovin formula. Analysis was carried out using the chi-square test and linear regression test. The results of the chi-square test research showed age (ρ value 0.000), obesity (ρ value 0.018), education (ρ value 0.000), years of service (ρ value 0.000), knowledge (ρ value 0.000), attitude ( ρ value 0.000). The linear regression test obtained the variable gender and length of service, F counts 13.972 and ρ value 0.000, R=0.455 and R Square =0.207. This research concludes that there is a relationship between age, obesity, education, length of service, knowledge, attitude, and work accidents among nurses at RSUD. Dr. M.M Dunda Limboto . Gender and length of service are the variables most related to work accidents among nurses at RSUD MM Dunda Limboto at 20.7%, a medium level of significance. Therefore, it is recommended that nurses use PPE such as gloves, masks, eye protection, and protective gowns when necessary and take part in regular safety training.
Pathogenic Species Of Staphylococcus: A Review Article
Authors:   Technical Institute Of Babylon, Al-Furat Al-Awsat Technical University (ATU), Iraq, Mohammed Shahad Saad , Shubar Safa Nihad Abed ,   Al-Mussaib Technical Institute, Al-Furat Al-Awsat Technical University, Mussaib 51009, Iraq, Naser Salena Abdul Abbas ,   Technical Institute Of Babylon, Al-Furat Al-Awsat Technical University (ATU), Iraq,, Al-Fahham Ali A. ,   Corresponding Author, Faculty Of Nursing, University Of Kufa, Iraq,
Published: June 2024

The genus Staphylococcus includes a wide range of species that are well-known for their saprophytic habit making them very important in clinical practice. The most common species of Staphylococcus are : S. aureus and S. epidermidis, which are well studied for their large contribution in health-cate associated infections. Many staphylococcal species have been commonly identified for their pathogenic action. The high attention that has been paid on these pathogenic bacteria is because of the increasing number of clinical studies that focused on their roles in different types of series infections, which have progressively increased human and financial cost to countries and societies.
Comparison the accuracy of implant position among mental, static and dynamic computer-assisted implant surgery in totally edentulous patients
Authors:   , Jaemsuwan Svas
Published: June 2024

Objective: To evaluate the accuracy of placed implants using three different CAIS systems in totally edentulous patients

Materials and Methods: Totally edentulous patients requiring implants for full-mouth restoration were eligible for this study. All implants (n=60) were classified into three groups of CAIS systems equally. In mental and static CAIS groups, coDiagnostiXTM software (Dental Wings Inc, Canada) was selected for implant planning. All virtual images were used to facilitate the surgeon placing implant by conventional manner in mental CAIS group, and fabricate the surgical template for guided implant surgery in static CAIS group. On the other hand, the Iris–100 software (EPED Inc., Taiwan) was chosen for virtually planning of implant position, and navigating the implant bed preparation and insertion intraoperatively in dynamic CAIS group. Post-operative DICOM files were imported to each planning software in order to evaluate the angular deviations, 3D deviations at implant platform and apex between placed and planned implant positions. Statistical data analysis was tested by One-way ANOVA.

Results: Groups of 20 Implants were installed following three different CAIS protocols. The mean angular deviations among mental, static and dynamic CAIS groups were 10.09°±4.64°, 4.98°±2.16° and 5.75°±2.09° respectively. The mean 3D deviations at implant platform among mental, static and dynamic CAIS groups 3.48±2.00 mm, 1.40±0.72 mm and 1.73±0.43 mm respectively. While, the mean 3D deviations at implant apex were 3.6±2.11 mm, 1.66±0.61 mm and 1.86±0.82 mm. The static and dynamic CAIS groups showed no statistically significant difference in term of implant accuracy and both groups also demonstrated statistically significant superior accuracy in all variables compared to the mental CAIS group in totally edentulous patient.

Conclusion: In this clinical trial, the mental CAIS group reported the least accuracy and there was no difference between static and dynamic CAIS groups in the totally edentulous.
Chemosensitizing effect of streptomyces crude extract on cisplatin-induced apoptosis in human lung cancer h460 cells
Authors:   , - Theint
Published: June 2024

Although cisplatin has been considered as a first-line chemotherapeutic drug for the treatment strategy of lung cancer, its curative efficacy is limited by the occurrence of drug resistance and adverse effects. The application of non-toxic natural products for sensitization of cancer cells to conventional drugs is a recent novel strategy for cancer management to tackle these problems. This study aims to investigate effective chemosensitizer produced by Streptomyces sp. on the growth inhibition of human H460 lung cancer cells. Herein, three of eight strains isolated from peat swamp forest, Yala Province, Thailand which showed good purity analyzed by 16S rRNA sequencing were screened for cytotoxic activity. Among these, crude extract ST1-45 with the highest anticancer activity (IC50 = 9.51 µg/mL) was selected for further investigations. The optimal non-toxic dose of ST1-45 (1.25 µg/mL) was used to examine the sensitization effect on cisplatin-induced apoptosis in H460 cells. The viability assay suggested that the pretreatment of 1.25 ug/ml of ST1-45 significantly reduced IC50 of cisplatin from 37.60 µM to 13.65 µM. Therefore, this study revealed that non-toxic dose of ST1-45 can be used to sensitize H460 cells to cisplatin treatment. The findings from the annexin V/PI costaining by flow cytometry revealed that the induction of cell death by cotreatment with ST1-45 and cisplatin was due to apoptosis. The results of RT-PC analysis and western bot analysis showed that the underlying apoptotic mechanism of sensitization effect did not depend on IRE1 α-mediated ER stress pathway since IRE1 α mediated XBP-1 splicing ratio which indicates mild ER stress condition did not change after treatment with ST1-45. Moreover, protein expression level of the ER stress marker pIRE1 α which is an upstream signaling molecule of XBP-1 splicing and JNK activation did not alter in both treatment groups compared to control. Surprisingly, upregulation of pJNK protein was found in the cells treated only with ST1-45 and a combination of ST1-45 with cisplatin at 10 µM while there was no difference in total JNK protein. So, other upstream signaling pathways for example AMPK pathway could be one of the contributors that induce JNK activation. Therefore, Further studies are required to clarify the exact molecular mechanism of chemosensitization effect of ST1-45 on cisplatin-induced apoptosis. Lastly, strain identification of promising crude extract ST1-45 by whole genome sequence analysis proved that the strain ST1-45 could represent the candidate of novel species. The novel findings in this study highlight further to investigate major constituents in ST1-45 and subsequently evaluate the therapeutic effects of pure compound in cancer management.
Effects of single bolus injection of pimobendan on cardiac function, hemodynamics, and heart rate variability in healthy dogs
Authors:   , Pichayapaiboon Poonavit
Published: June 2024

In veterinary medicine, pimobendan has been recommended for management of dogs with congestive heart failure for decades. Recently, an intravenous injectable solution of this drug has been launched. However, the effects of this preparation on electrocardiography, cardiac functions, hemodynamics, heart rate variability (HRV), and the pharmacokinetics (PK) in dogs are still limited. Therefore, the objective of this investigation is to investigate the hemodynamics, cardiac functions, electrocardiographic parameters, the PK profiles and its active metabolite, O-desmethyl pimobendan (ODMP), as well as its effect on HRV of a single bolus pimobendan in healthy dogs. Nine dogs were anesthetized and instrumented to obtained parameters of left ventricular functions, hemodynamics, and electrocardiograms. Bolus pimobendan (0.15 mg/kg, IV) was given to all dogs and the effects were monitored for 2 h. Plasma concentrations of pimobendan and ODMP were quantified using LC-MS/MS. Seven of those dogs were instrumented with Holter monitoring for obtaining heart rate variability while they were conscious and clam. Bolus pimobendan (0.15 mg/kg, IV) was given to all dogs and the effects were monitored for 3 h. The results revealed that single bolus pimobendan fastened the heart rate while the PQ interval was shortened. Furthermore, the results also indicated that pimobendan significantly improves both cardiac contraction and relaxation within 10 to 20 mins after injection. In addition, pimobendan significantly reduced both systemic- and pulmonic-vascular resistances. The Cmax of pimobendan and ODMP were 83.7 and 30 ug/L, respectively, while the Tmax of ODMP was 0.33 h. The volume of distribution of pimobendan and ODMP were 8.9 and 7.1 L/kg, respectively. The half-life of pimobendan and ODMP were 1 h and 2.8 h, respectively. The clearance of pimobendan and ODMP were 5.8 and 2.2 L/kg/h, respectively.  In conscious dogs, single bolus pimobendan augmented the cardiac autonomic nervous activity inferred from an increasing of heart rate variability. Moreover, the results also suggested that pimobendan tended to intensify parasympathetic activity more than the sympathetic branch. In conclusion, intravenous pimobendan improves cardiac functions and hemodynamics shortly after injection and enhances a cardiac autonomic nervous activity, which may be a great benefit for dogs with congestive heart failure.