bluuebunny/crossref_metadata_2025 huggingface dataset:
Profil Hematologi, Kadar Besi (Fe), dan Rasio Mieloid: Eritroid Kuda Hiperimun yang digunakan dalam Produksi Plasma Antisera
Authors: Arifianto Dinar , Esfandiari Anita , Wibawan I Wayan Teguh , Amrozi Amrozi , Maharani Maharani , Darsono Darsono , Setiadi Hirawan , Setiyono Agus
Published: May 2024

Kuda merupakan salah satu hewan yang penting dalam produksi plasma antisera sebagai bahan baku pembuatan serum. Akhir abad ke-19 kuda berperan krusial dalam pengembangan serum pertama terhadap penyakit difteri manusia. Hingga saat ini kuda masih digunakan untuk memproduksi berbagai serum anti-venom, anti-rabies, anti-tetanus, hingga anti-SARS CoV-2. Proses produksi plasma antisera diawali dengan injeksi imunogen pada kuda yang disebut dengan hiperimunisasi. Antibodi dalam jumlah besar yang terbentuk dikoleksi kemudian dipurifikasi untuk digunakan pada manusia. Hiperimunisasi menimbulkan berbagai efek samping, diantaranya adalah penimbunan fibril amiloid pada berbagai jaringan yang dapat mengganggu fisiologi dan fungsi organ tubuh. Sebanyak 12 ekor kuda digunakan dalam penelitian ini dan dibagi menjadi 4 kelompok. Kuda kontrol (n=3) terdiri atas kuda yang belum pernah mendapatkan perlakuan hiperimunisasi, sedangkan 9 kuda lainnya dikelompokkan berdasarkan lamanya waktu produksi plasma antisera dengan metode hiperimunisasi (masing-masing kelompok berjumlah 3 ekor). Kelompok I terdiri atas kuda dengan masa produksi 2-3 tahun, kelompok II terdiri atas kuda dengan masa produksi 4-5 tahun, dan kelompok III terdiri atas kuda dengan masa produksi 6-7 tahun. Sampel darah, serum, dan aspirasi sumsum tulang dianalisis utuk melihat profil eritrosit, Hb, PCV, trombosit, profil besi (besi serum, UIBC, TIBC, saturasi transferin), rasio mieloid:eritroid (M:E) dan persentase retikulosit. Analisis statistik menunjukkan bahwa terdapat perbedaan yang signifikan pada parameter eritrosit dan rasio M:E (P<0,05), sedangkan Hb, trombosit, dan profil besi tidak ditemukan perbedaan yang signifikan (P>0,05). Hal tersebut menunjukkan bahwa perlakuan hiperimunisasi menyebabkan terjadinya anemia non-regeneratif dengan mekanisme supresi eritropoiesis sumsum tulang tanpa memengaruhi komponen besi.
A Review of Frameworks and Instruments of Teacher Emotion Regulation Strategies
Authors: Ming Ze , Huang Guangfang
Published: May 2024

Teaching is a highly emotionally demanding job and can present educators with a variety of emotional challenges. Therefore, exploring teacher emotion regulation strategies can effectively help teachers build resilience and enhance their own sense of well-being. This study adopts literature analysis approach to review the existing representative research on the frameworks and instruments of teacher emotion regulation strategies from 1998 to 2023, and analyzes the development trends and the connection among the scales from the perspective of research objects, contexts, advantages and disadvantages. It is found that research on the development and application of frameworks and instruments of teacher emotion regulation strategies is gradually becoming more and more systematic and abundant. This study can provide reference for subsequent empirical research and provide a basis for the development of more instruments, effectively guiding teachers in regulating their own emotions and improving their teaching effectiveness.
Investigating the Application of Regression Discontinuity in the Field of International Health Economics
Authors: Cao Yunxuan , Tang Bin , Wang Bin
Published: May 2024

As one of the most significant quasi-experimental research methods, with over eight decades of development, Regression Discontinuity Design (RDD) has garnered extensive attention within the field of international health economics. It has provided robust methodological support for causal inference in research conducted within this domain. This paper provides a comprehensive review and synthesis of the foundational concepts, origins, and evolutionary trajectory of the RDD. It systematically examines the relevant studies in the domain of international health economics, discusses the strengths and limitations of the RDD, and anticipates its future applications in the same field. The aim is to support the utilization of RDD in international health economic research. On a theoretical level, it has effectively enhanced the flexibility and applicability of research designs within the domain of international health economics, augmenting the economic efficiency and external validity of studies, and offering a versatile tool for related research on a global scale. On a practical level, RD accommodates the diverse policy needs of programs across various countries and regions. It provides a more robust and reliable empirical foundation for the formulation of pertinent health policies, aiming to improve the efficiency of health resource allocation and promote equity in health outcomes.
Exploration of the Reform of Multi subject Co construction Data Structure Experiment Course under the Mixed Teaching Mode
Authors: LI Y. R. , Wen C. Y. , ZHAO J. C. , GUAN X. L.
Published: May 2024

In response to the high complexity of algorithm courses and the difficulty for students to understand, this paper focuses on the data structure experimental course and proposes a multi subject co construction data structure experimental course reform strategy under the blended teaching mode. The article first explores the problems in the content and methods of practical courses, and then proposes reform measures in teaching modes, teaching systems, and teaching methods. At the same time, on the basis of school enterprise cooperation, design differentiated experimental projects, teach students according to their aptitude, and strive for a student-centered teaching model, collaborative assistance to complete the role exchange between teaching and learning.
Performance Evaluation of Spring Rice Variety Chaite-5 with Varied age of Seedlings and Plant Spacing in Rajapur, Bardiya District of Nepal
Authors: Mahato Anju , Kafle Kamal , Shrestha Mamata
Published: May 2024

Despite the considerable potential for spring rice production in Bardiya District, the average yield remains below the national average. Various factors affect spring rice production, with seedling age and spacing being significant determinants of productivity. The utilization of older seedlings and improper spacing often lead to decreased yields in transplanted rice systems. Therefore, this study aimed to identify the optimal seedling age and planting spacing for Spring rice cultivars (Chaite-5) in transplanted rice systems. A field experiment was conducted to evaluate the performance of rice (var. Chaite-5) grown with different seedling ages and planting configurations in Rajapur, Bardiya during the spring season of 2022. The experiment included seedlings from four age groups (19, 22, 25, and 28 days) and three planting geometries (15x15cm, 20x20cm, and 25x25cm). Various parameters such as plant height, number of tillers per hill, effective tillers per hill, panicle length, filled grains, total grains per panicle, sterility percentage, 1000-seed weight (TGW), and grain yield were recorded. The findings revealed that the growth cycle was shortened by 19-22 days for young seedlings (13-day-old) compared to older seedlings (28-day-old), indicating accelerated growth with the transplantation of younger seedlings. Moreover, 22-day-old seedlings exhibited significantly higher numbers of tillers per hill (19) and effective tillers per hill (11), along with higher 1000-seed weight (18.88 g) and grain yield (5121.88 kg/ha). Similarly, crops planted with a spacing of 20x20 cm2 demonstrated significantly higher numbers of tillers per hill (19), effective tillers per hill (10.97), higher 1000-grain weight (20.15 g), and grain yield (5106.50 kg/ha).
Exactitud de modelos digitales con base en escáner intraoral comparados con modelos de yeso
Authors: Teramoto Ohara Alberto , Almeida González Marisol , Angulo Preciado Salvador , Teramoto Iida Airy
Published: May 2024

Introducción: el uso de escáneres intraorales en la Odontología ha ido en aumento en los últimos años, principalmente por la eliminación del uso de materiales de impresión, pero sobre todo por la velocidad y comodidad en la obtención de los registros. Objetivo: dar a conocer la comparación de dos métodos convencionales de impresión (alginato y polivinilsiloxano) y el escaneado intraoral para determinar si existen discrepancias en tamaño. Material y métodos: se realizó un estudio observacional, analítico, prospectivo transversal donde se seleccionaron 15 pacientes (9 Masculinos, 6 Femeninos) de la Facultad de Odontología de la Universidad Tecnológica de México. Para cada paciente se realizaron tomas de modelos de estudio con tres diferentes métodos. Método 1: impresión con alginato; Método 2: impresión con polivinilsiloxano; Método 3: escaneo intraoral. Posteriormente, con los Métodos 1 y 2 se obtuvieron modelos de yeso, y con el Método 3 se imprimieron los modelos 3D. Con un vernier digital se midieron manualmente los modelos en cinco distancias transversales y se analizaron los resultados con anova para muestras independientes (p>0.05). Resultados: no existen diferencias estadísticas significativas entre las distancias intercanina superior e inferior, primer premolar superior e inferior, segundo premolar superior e inferior, primer molar superior e inferior, segundo molar superior e inferior en Método 1, Método 2 y Método 3. Conclusiones: El sistema de escaneo intraoral en conjunto con la tecnología de impresión 3D es un sistema confiable para poder reproducir las discrepancias transversales de las medidas de los maxilares dentales, sin embargo, dependiendo de su uso final deberán tomarse en cuenta otros factores como el tipo de tecnología de impresión 3D para su correcta aplicación clínica.
Fanny del Río, Hacia una crítica ética de la historia de la filosofía en México desde una perspectiva de género
Authors: Lara María Pía
Published: May 2024

Reseña del libro de Fanny del Río Hacia una crítica ética de la historia de la filosofía en México desde una perspectiva de género, desde la perspectiva de la historia conceptual, Editorial NUN, México, 2022, 92 pp.
Tolerancia lewisiana
Authors: Méndez Pinto Emilio
Published: May 2024

En este trabajo examino las razones que David Lewis ofrece a favor de la tolerancia en sus trabajos “Mill and Milquetoast” y “Academic Appointments: Why Ignore the Advantage of Being Right?” En el primer apartado expongo y discuto la concepción de la tolerancia que critica Lewis, a saber, la de J.S. Mill. En el segundo apartado expongo y discuto las principales razones de Lewis a favor de la tolerancia y las ventajas que, de acuerdo con él, tiene su postura frente a la de Mill. En el tercer apartado discuto algunas de las consecuencias filosóficas y políticas que parecen seguirse de la propuesta de Lewis y de sus críticas a la concepción de la tolerancia de Mill.
Screening and Characterization of Biosurfactant-producing Strains in Contaminated Soil
Authors: Rizvi Huria , Singh Vikram , Ashish
Published: May 2024

Biosurfactant obtained from microorganisms isolated from different locations presents an alternative source to chemical surfactant, due to its structural and functional similarity, as well as its biodegradability properties. The goal of this work was to isolate biosurfactant-producing bacterial strains in seven sites with oil-contaminated soils, in district Lucknow, Uttar, India. Drop collapse assay, oil displacement method, emulsification activity and haemolytic assay were used to screen the total of 13 distinct colonies obtained from this study. Isolates GAR-1, TP-2, PET-1 & PET-3 were screened and evaluated to be more potent for biosurfactant production. The molecular identification of GAR-1, TP-2, PET-1 & PET-3 isolates were identified by 16S rRNA sequencing and characterized by FT-IR analysis. A total of 13 bacteria were isolated in the oil-contaminated soils, these four strains with high biosurfactant-production, identified as Bacillus paralicheniformis HRA-IU, B. velezensis NWR-20, Bacillus sp. HUR-IU and P. aeruginosa HUR-IA, respectively. The present study confirms that isolated microorganisms have biosurfactant property and screens the most potent biosurfactant (rhamnolipid) producing strain which is Bacillus sp. HUR-IU.
Occurrence of Multidrug Resistant Pseudomonas aeruginosa Isolated from Waste Water Samples of Dhaka, Bangladesh
Authors: Tarannum Nourin , Parveen Sahana , Nipa Meher Nigad , Das Suvra
Published: May 2024

Pseudomonas aeruginosa is a prevalent gram-negative pathogenic bacterium ubiquitous in natural environment. Aquatic environment of wastewater serves as reservoirs of this bacteria and their wide resistance phenomenon to a number of antibiotics is frequently increasing. This study was conducted to determine the prevalence of P. aeruginosa in 10 industrial waste water and 10 tannery waste water samples of whole Dhaka and 65% (13/20) water samples were found positive for P. aeruginosa which was confirmed by both biochemical test & BiologTM Microbial Identification System. Kirby Bauer disc diffusion method was applied for antimicrobial susceptibility testing and isolates showed resistance to most of the commercial antibiotics except neomycin, gentamycin, streptomycin, ciprofloxacin and nalidixic acid, hence confirmed the multidrug resistance (MDR) of P. aeruginosa in wastewater which is one of the life-threatening public health issues all over the world causing ineffectiveness of several antibiotics. So, it is recommended to make sure surface water or food samples not to be contaminated by this antibiotic resistant P. aeruginosa that might be transferred to animal and human. In these circumstances, not only the hygiene practice is the first and foremost prerequisite but also management practices with effective wastewater disposal system can also be a part of awareness. Additionally, appropriate and logical use of antibiotics must be applied to reduce the emergence of multidrug pathogens to environment.
Identification and Antibacterial Activity of Streptomyces mediolani CF51DZ Isolated from the Beetle (Protaetia morio), Collected from Souk Ahras, North-East of Algeria
Authors: Raffa Sabrine , Ayari Adel , Guehria Ines
Published: May 2024

In this study, an Actinomycetota Streptomyces mediolani strain CF51DZ was isolated from a beetle Protaetia morio collected in a cork oak forest in northeast Algeria, to extract, purify and characterize the antibacterial compound. The strain was isolated in specific ISP culture media, identified via morphological, biochemical, physiological and molecular characteristics and then studied its antibacterial activities against pathogenic bacteria using the well diffusion technique. The extraction, purification and characterization of the bioactive compound was carried out using chromatographic and spectroscopic methods. Morphological, physiological, and biochemical properties, as well as the 16S ribosomal DNA sequence of the strain, were found close to those of Streptomyces mediolani. The isolated strain produced an active compound having potent antibacterial properties against Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus. This compound was isolated and purified with thin layer chromatography and high-performance liquid chromatography, and chemically identified by mass spectroscopy and NMR spectroscopy. In addition, the chemical structure elucidation of the antibacterial metabolite by APCI-MS analysis revealed a peak at m/z 375 [M+H]+, a molecular formula of C19H18O8. This compound was identified as methyl rosarinate: 3-(3,4-dihydroxyphenyl)-1-methoxy-1-oxopropan-2-yl (E)-3-(3,4-dihydroxyphenyl)acrylate based on the IUPAC nomenclature. Moreover, the antibacterial agent was purified from Streptomyces mediolani strain CF51DZ that was for the first time, in Algeria, isolated from the beetle Protaetia morio. This supports further characterization of this promising chemical to ensure the best use for antibacterial applications.
Coagulase-negative Staphylococci – A True Pathogen in Bloodstream Infections and their Resistance Patterns in a Tertiary Care Hospital
Authors: Anitha S. , Sijimol S. , Akila K. , Raj M. Kamal , Ambuja Sekhar , Senthamarai S. , Sivasankari S. , Subha V.J.
Published: May 2024

Coagulase-negative staphylococci (CoNS) are primary skin commensals that have long been considered contaminants even when grown in blood cultures. This group of organisms has been recently recognized as a potential causative pathogen of septicemia. This increase has been attributed to the increased use of intravascular and prosthetic devices. Hence, we aimed to estimate the prevalence of CoNS as a true pathogen in adult and pediatric blood cultures along with their antibiotic susceptibility patterns. A total of 1076 adult and 611 pediatric blood cultures were subjected to an automated BacT/ALERT continuous monitoring system. Isolated CoNS were considered true pathogens if they met the diagnostic, clinical, and laboratory criteria. Antimicrobial susceptibility testing for pathogenic CoNS was carried out using the Kirby-Bauer disk diffusion method and interpreted as per CLSI 2021. CoNS were considered true pathogens in 23 (42.5%) of 54 adults and 12 (41.3%) of 29 pediatric CoNS isolated from blood cultures. Methicillin-resistant CoNS was detected in 66% and 70% of adult and pediatric cultures, respectively. All the CoNS isolates were sensitive to vancomycin and linezolid. Coagulase-negative staphylococci (CoNS) can either be a contaminant or a true pathogen, whose discrimination based on clinical and laboratory indices plays a pivotal role in the management of patients with sepsis.
Antimicrobial Activities of Symbiotic and Non-symbiotic Bacteria Associated with the Entomopathogenic Nematode, Steinernema feltiae
Authors: Alorabi Mohammed
Published: May 2024

The use of antibiotics against a range of pathogenic bacteria has increased in recent years, leading to the development of drug resistance, which makes disease control challenging. Thus, the need for the development of new antibacterial medications is critical. Natural resources, such as entomopathogenic bacteria (EPB), provide a rich source of metabolites with well-known antibacterial properties. The present study aimed to investigate the antibacterial activity of symbiotic (n = 1) and non-symbiotic (n = 8) entomopathogenic bacterial species associated with the entomopathogenic nematode (EPN) Steinernema feltiae against four multidrug-resistant bacterial species. Bacterial cells and filtrates from Xenorhabdus bovienii strongly inhibited the growth of Staphylococcus aureus (33.3 and 28.9 mm) and Escherichia coli (24.6 and 21.6 mm) in disk diffusion, minimum inhibitory concentration (MIC) (2 and 8 µl/ml) and minimal bactericidal concentration (MBC) (4 and 12.5 µl/ml) assays. In conclusion, the direct application of endogenous S. feltiae-associated EPB, especially X. bovienii, appears promising as an antibacterial agent against multidrug-resistant bacteria (MRBs).
Phytotoxicity of Pendimethalin on the Emergence of Seedlings and Microbial Count in Direct-seeded Rice Across Different Concentrations
Authors: Shyamsunder Burra , Walia Ujagar Singh , Prasanna Thulisekari , Menon Sandeep , Nawabpet Prudhvi , Raju Guntimadugu Santhosh Kumar , Kumara Pavana
Published: May 2024

A field trial was conducted to investigate the ‘Phytotoxicity of pendimethalin on the emergence of seedlings in direct seeded rice (DSR) across different concentrations’ during the Kharif season of 2022 at the experimental farm of the School of Agriculture, Lovely Professional University, Phagwara, Punjab. The experiment was conducted using a randomized block design with five treatments using different doses of pendimethalin (1600, 1800, 2000, and 2200 gram active ingredient per hectare (g ai per ha), and control (untreated)). Application of pendimethalin at 1600 g ai per ha resulted in a significantly higher number of seedlings than other treatment groups. The lowest number of seedlings was observed in the 2200 g ai per ha treatment group. The number of microbes present was optimal during the treatment with 1600 g ai per ha pendimethalin. With an increase in the dosage of pendimethalin, a decrease in the count of soil microbes was observed, with the lowest microbial count observed with the highest dose of pendimethalin, i.e., 2200 g ai per ha. No phytotoxic effect was observed in the DSR treated with pendimethalin at 1600 g ai per ha. Therefore the present study has to be obtain the appropriate use of dosage to inhibit the toxicity of herbicide as well as maintain the soil fertility and microbial growth.
In vitro Biomedical Application of Endophytic Aspergillus melleus Isolated from Leaves of Premna serratifolia L.
Authors: Varsha S.L. , Shettar Arun K. , Hoskeri Joy H. , Vedamurthy A.B.
Published: May 2024

Some microorganisms known as endophytes live in symbiotic relationships in the living tissues of plants without posing a health risk. As a result, they synthesize many metabolites which are helpful for the plants in many ways. So, these metabolites are known to exhibit many biological properties like antioxidant, antidiabetic anti-inflammatory, etc. Currently, many drugs are used to control inflammatory diseases like arthritis and, irritable bowel disease; however, they pose a lot of side effects. The present study was taken up to explore the anti-inflammatory properties along with the phytochemicals present, its quantification, and other in vitro biological activities of the less reported Aspergillus melleus, an endophytic fungus, isolated from Premna serratifolia L., a medicinal plant. The results of the investigation demonstrated the presence of alkaloids, phenols, terpenoids, flavonoids, tannins, cardiac glycosides and amino acids in the methanolic extract of endophytic fungus. It yielded 25.28 µg GAE/g and 19.465 µg GAE/g of total phenolic and flavonoid content, respectively. The results of anti-inflammatory activity showed 84.69+0.82% protein inhibition by BSA and also showed IC50 values of 68.53 µg/mL and 43.34 µg/mL for COX1 and COX 2, respectively. It exhibited 63.91+0.08% of radical scavenging activity by DPPH. The IC50 values of 181.41 µg/mL and 190.62 µg/mL were found for the in vitro antidiabetic activity. This study shows that the endophytic fungus A. melleus has exhibited considerably good results with respect to its in vitro biological activities. Yet, there is a scope for future researchers to isolate the bioactive metabolites to explore for future needs.
Biodiesel Production from Rice-Wash Water with Streptomyces fradiae Fermentation: Improved Free Fatty Acid Concentration
Authors: Kumar Janice Ravi , Anandan Dayanandan , Kaliyaperumal Viswanathan
Published: May 2024

The lipid-producing gram-positive bacteria were isolated from soil and it was identified as Streptomyces fradiae JJ1 MK733985.1. Bacterial lipid synthesis was explored using rice washed water through the fermentation research. The exponential growth phase was reached on the fifth day of fermentation, according to the results. The ability of Streptomyces fradiae to produce microbial oil was compared to that of International Streptomyces Project-2 Medium (ISP2) medium. The results showed that RWW culture medium yielded 85.4% fatty acids and 60.3 g/L biomass, while ISP2 medium yielded 83.2% wt fatty acids and 59.5 g/L biomass. The microbial oil was transesterified into Fatty acid methyl esters (FAME), and its characteristics were studied using American Society for Testing Materials (ASTM) standards. The specific gravity was 0.864, the density was 0.863, the gross heating value was 42498 kj/kg, the cetane number was 37, and the acid value was 0.46. Streptomyces fradiae grew with an ISP2 density of 0.835, specific gravity of 0.845, gross heating value of 42326 kj/kg, and acid value of 0.43. According to the findings, Streptomyces fradiae isolated from soil can grow in RWW medium for the first time and provide the same yield as commercial media while being significantly less expensive.
An Analogy between Gold Standard SARS-CoV-2 RT-qPCR with the SARS-CoV-2 Rapid Antigen Test in a Tertiary Care Setting in Central State of India
Authors: Singh Neha , Sherwani Nikita , Jaiswal Jyoti , Nagaria Tripti , Khandwal Onkar , Neral Arvind , Sahu Arti
Published: May 2024

Reverse transcription-quantitative PCR (RT-qPCR)-based assays are extensively being utilized to detect coronavirus disease 2019 (COVID-19). However, due to a lack of RT-qPCR testing capability, these tests cannot be carried out in community clinics. The intention of our study was to evaluate the specificity and sensitivity of Rapid Antigen Detection (RAT) tests versus those of RT-qPCR using nasopharyngeal and oropharyngeal specimens. Respiratory swab specimens were collected from the COVID-19 patients admitted at Dr. Bhimrao Ambedkar Memorial Hospital, Raipur, CG, India, during March to April 2022. RAT and RT-qPCR were performed using standard methods as per guidebook instructions, and subjects were chosen using a convenience sample technique. 100 swabs from patients, who had earlier verified positive and 100 from who had earlier verified negative for SARS-CoV-2 via RT-qPCR, were taken for study. Study was approved by the institutional ethical committee before data collection and initiation of the study. We evaluated for the sensitivity and specificity of the STANDARD Q COVID-19 Ag test kit (SD Biosensor). On testing, an over-all sensitivity and specificity of the kit was recorded as 74% and 100%, respectively in comparison to the RT-qPCR kit. Further, the assay’s sensitivity was shown to be 100%, 94.87%, 77.27%, and 55.56%, respectively, for samples with cycle thresholds (Ct) of 15-25, 25-30, 30-35, and >35. We draw the conclusion that the RT-qPCR assay has superior sensitivity and specificity to the antigen assay. However, in all situations where RT-qPCR testing is difficult, the antigen assay could serve as a rapid and simple option for separating SARS-CoV-2 contagious from non-contagious patients.
Statistical Optimization of Salmonella Survival in Different Protein Hydrolysates
Authors: Singh Kumud Ashish , Nair Santhini S. , Rai Rohit , Panda Satyen Kumar , K Elavarasan
Published: May 2024

Protein hydrolysates are composed of peptones and peptides, and their type depends on the biological source and manufacturing process. We studied the survival response of Salmonella enterica in the presence of casein, soy protein, and fish protein hydrolysates at refrigeration and freezing temperatures. Fish protein hydrolysate (FPH) was identified as the only capable hydrolysate of sustaining the viability of S. enterica for 60 days at refrigeration temperatures. None of the three hydrolysates were able to impart cryoprotection to S. enterica under freezing conditions. The survival rate of S. enterica in FPH was further enhanced by growing the inoculum on agar instead of broth. An optimization study using response surface methodology was also conducted to identify suitable concentrations of protein hydrolysates capable of maximizing the survival of S. enterica. The results of this study can be used to manage Salmonella-related food safety incidents by replacing animal-sourced with plant-sourced protein hydrolysates at the recipe development stage, as well as the use of FPH in microbiological growth media and the formulation of secondary reference materials. These results indicate that FPH produced by enzymatic hydrolysis of Stolephorus indicus at lower concentrations (5%) can serve as nutritive agents in culture media, contribute to long-term preservation, and can be used in the formulation of quantitative reference materials for Salmonella.
Developing a Machine Learning-Powered Dietary Guidance System for Diabetes Patients
Authors: Vasuki Mrs. M
Published: May 2024

Abstract: Diabetes is a prevalent chronic condition that requires careful management of diet to control blood sugar levels and prevent complications. Traditional dietary planning can be complex and time-consuming, emphasizing the need for an efficient, personalized approach. This study presents the development of a machine learning-based dietary recommendation system tailored to individual patients with diabetes. The system uses patient data, including medical history, dietary preferences, and blood glucose levels, to provide personalized meal plans. Various machine learning models, including decision trees, random forests, and neural networks, are explored to identify the most effective algorithm for generating dietary recommendations. Evaluation metrics such as accuracy, precision, and recall are used to assess model performance. The results demonstrate that the system can successfully recommend meals that align with medical guidelines and improve diabetes management. This research paves the way for more effective, personalized, and scalable dietary planning for patients with diabetes.
Design of Bladeless Thruster for UAV Application
Authors: Ratnaparkhi Yuvraj
Published: May 2024

Abstract: Conventional multi-copters rely on multiple propellers to achieve lift, propulsion, and altitude control. However, a new type of thruster has been developed that offers significant safety advantages by eliminating external blades. This advanced thruster features a vertical inlet duct equipped with an Electric Ducted Fan (EDF), which is paired with a specially designed nozzle ring. The unique design of the nozzle ring, which has an airfoil-like cross-section, creates a pressure differential that, combined with the Coanda effect, generates thrust without the need for externally rotating blades or propellers. This bladeless technology not only enhances safety but also offers a quieter and potentially more efficient alternative to traditional propeller-based systems
MNIST Handwritten Digit Classification Using Neural Network
Authors: Mahender Kukkala
Published: May 2024

Abstract: Handwritten digit classification is a fundamental problem in the field of machine learning and computer vision. The MNIST dataset, consisting of 60,000 training images and 10,000 test images of handwritten digits, has been widely used as a benchmark for evaluating classification algorithms. In this study, we propose a neural network-based approach for classifying the MNIST digits. Our model consists of multiple layers, including an input layer, one or more hidden layers, and an output layer. We preprocess the images by normalizing the pixel values and convert them into a suitable format for the neural network. The model is trained using the training images and their corresponding labels, adjusting the weights of the connections to minimize the difference between the predicted outputs and the actual labels. We evaluate the performance of the model using metrics such as accuracy on the test images. Our results demonstrate the effectiveness of the neural network approach in accurately classifying handwritten digits. This research contributes to the advancement of digit recognition techniques and provides insights into the application of neural networks in image classification tasks
Green Building Innovation: Analysis and Design of Sustainable Commercial Structure by using BIM
Authors: Agarwal Shruti
Published: May 2024

Abstract: This project explores the utilization of Building Information Modeling (BIM) as a cornerstone for designing and analyzing sustainable commercial structures. With a growing emphasis on environmentally responsible construction practices, BIM emerges as a pivotal digital platform facilitating the creation, analysis, and optimization of green building designs. Employing a systematic methodology encompassing data collection, market surveys, building planning, analysis and design, 3D visualization, cost comparison, and results discussion, this research investigates the efficacy of BIM in fostering sustainability within commercial construction projects
Cervical Cancer Detection with a Tissue Smear and a Microscopic Image inside the Deep Learning Model of Squeeze Net
Authors: Sadananda Moolya Harshatha
Published: May 2024

Abstract: Cervical cancer is a worldwide public health problem. Cervical cancer begins in the cervical tissues, specifically at the junction where the cervix links the lower part of the uterus that connects to the vagina. Small change in the DNA cell later they might cause the multiply growth of abnormal cell, this growth is called tumours. This are most difficult to diagnose because it starts from the cervix. It starts slowly and it risk if the infection goes long-lasting and it occurs usually people over age 30. This fungus is the type of Human Papilloma Virus (HPV), virus that passed from the one another. In past a small brush or spatula is inserted through the speculum to collect cells from the surface of the cervix. Removing abnormal cells can cause bleeding and kidney failure and microbiologist will get eye pain due to continuous work in microscope. A Pap smear test can be detected and examined in a lab. This risk can be reduced through regular screening tests and by receiving a vaccine to protect against HPV infection. If any cervical cancer found in early stage, then can be removed by the surgery, medicines, chemotherapy and radiation. Majority women are diagnosed between age 35 and 44. More than 15% occur in women over age 65. Approximately 92% of women facing cervical disease are likely to survive for nearly 5 years. Regular screening tests help reduce the occurrence of cervical disease. The output is presented as a confusion matrix. MATLAB's Squeeze Net can be utilized to classify abnormal cells by employing a deep learning model for feature extraction, training, and preprocessing the dataset through SIPaKMed. The model's performance is evaluated through training as well as testing to identify the model that is most appropriate for the given activity. This approach reduces both the time required for outcome and the value of diagnosis. With a comprehensive cervical cancer detection system, the workload of microbiologists can be significantly lessened.
Revolutionizing Retail with Smart Shopping Carts: An AI and IoT Approach to Automated Checkout
Authors: Jadhav S. S.
Published: May 2024

Abstract: AI technology has completely changed a number of industries, and the retail industry is no different. This paper offers a thorough analysis of the use of artificial intelligence (AI) in smart cart implementation, with the goal of revolutionizing the conventional shopping experience. Our intelligent shopping cart system utilizes cutting-edge artificial intelligence algorithms, specifically the YOLOv8 model for barcode recognition and the Pyzbar library for decoding, to provide smooth product scanning and checkout procedures. To improve accuracy and security, we suggest a phased switch from barcode to QR code technology. We see a future where long lines and laborious checkout processes are replaced with quick and easy shopping experiences by distributing smart carts with AI capabilities. This study opens the door for novel developments in customer engagement and corporate operations while also adding to the continuing conversation about the application of AI in retail settings.
Assessment of Solid Waste Management: A Case Study of Rourkela
Authors: Barik Priyanka , Kumar Santosh , Patnaik Ankita
Published: May 2024

Abstract: Solid waste, which is a consequence of day to day activity of human kind, needs to be managed properly. Rourkela city, like any other cities also face problem. This study concerns about analysis of the city current municipal solid waste management problem, collection and existing method. The information was collected through survey and secondary sources. The study discovered that there is low performance of solid waste management in the city mainly due to lack of knowledge about waste separation and awareness, community participation, ill dumping manner (often around residence and any open space) and lack of community bins. Finally, the study forwarded some important recommendations towards improving the waste management practices
Real Time Monitoring of Temperature And Humidity Using LabVIEW and ML
Authors: Vijay Kulkarni Sheetal , Sasane Saahieel , Bajare Mrunali , Deshmukh Rahul
Published: May 2024

Abstract: This project presents a Real-Time Temperature and Humidity Monitoring System built on LabVIEW, featuring ML predictive analytics. It facilitates real-time data collection from diverse sensors, ensuring precise environmental monitoring. The ML algorithms within the system forecast future temperature and humidity trends, aiding proactive decision-making. Users enjoy an intuitive graphical interface for visualizing data, analysing historical trends, and receiving alerts for threshold variations. Additionally, the system provides remote monitoring, data logging, and reporting, enhancing its usability and accessibility. This integrated solution caters to the crucial requirement for accurate environmental monitoring, with applications spanning industries like manufacturing, agriculture, and climate control, ultimately enhancing efficiency and decision-making in these sectors.
El significado de discurso de odio en el derecho mexicano: las contradicciones que impiden la claridad en su concepto
Authors: Vélez Grajales Guadalupe del Carmen
Published: May 2024

A partir de una visión wittgensteiniana del significado de las palabras se analizan la legislación y la jurisprudencia mexicanas para determinar el concepto del discurso de odio en el derecho de México. Se encuentra que el discurso de odio puede considerarse una manifestación de ideas e información que, al mismo tiempo, constituye el despliegue de una o más acciones reprobables. Sin embargo, las inconsistencias en las decisiones de los tribunales no permiten establecer que tal discurso sea sancionable. Este rasgo debería inferirse del sistema jurídico. Su indeterminación implica no solo la falta de claridad conceptual, sino la inseguridad jurídica del sistema.
The mediating effect of grit in the relationship between university students' over-dependence on smartphone and adaptation to college life
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Son Miyoung , Cho Gyupan
Published: May 2024

Objectives The purpose of this study is to verify the mediating effect of grit in the relationship between college students' overdependence on smartphones and their adaptation to college life.
Methods For this purpose, a survey was conducted on 204 college students in Busan Metropolitan City using smartphone overdependence, grit, and college life adjustment scales. The collected data were subjected to reli-ability verification and correlation analysis using the SPSS program. In addition, a hierarchical multiple regression analysis was conducted to verify the mediation effect of grit, and a Sobel Test was conducted to verify the sig-nificance of the indirect effect of the mediation effect.
Results First, there was a significant negative correlation between college students' smartphone overdependence and adaptation to college life, a significant negative correlation between smartphone overdependence and grit, and a significant positive correlation between college life adaptation and grit. Second, grit was found to partially mediate the relationship between college students' overdependence on smartphones and their adaptation to col-lege life.
Conclusions These results mean that various methods should be explored and applied to improve the grit of col-lege students who are overly dependent on smartphones to adapt to college life.
Structured Group counseling experience using the ImageTale app: For graduate students majoring in counseling
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Choi Suhyoon
Published: May 2024

Objectives This study was conducted to explore the group counseling experience using the ImageTale app devel-oped as a counseling medium.
Methods The participants in the group counseling were 11 graduate students majoring in counseling psychology who first experienced ImageTale, with 2 men and 9 women. As for the research method, group counseling was conducted for a total of 6 sessions for 18 hours, and participants prepared a reflection journal after the session was over and a final report after the conclusion. A total of 7 reflection journals and the counseling process conducted in each session group were analyzed by contents analysis, one of the qualitative analysis.
Results As a result, 4 areas, 11 categories, and 29 contents were derived. Group participants started with curiosity when they first encountered the ImageTale app, and they experienced emotional changes, perceptions, and ex-pressions during image composition while exploring their inner selves. In addition, participants received help in terms of self-understanding, inner exploration, and emotion recognition rather than in terms of understanding and interaction with others in group counseling classes using the ImageTale app.
Conclusions Through this study, it was possible to confirm the possibility of using the ImageTale app as a counsel-ing medium, and it was suggested that various empirical studies should be conducted in the future.
An Analysis of Medical Students' Perceptions of Academic Ethics
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Chae Su Jin , Kwon Hyo-Jin
Published: May 2024

Objectives The purpose of this study is to identify and characterize the prevailing state of medical students' per-ceptions of their own and their classmates' academic ethics.
Methods For the purpose of this study, we conducted in an online survey method for all six academic years at a single medical school and a total of 217 response data were analyzed. The data collected were analyzed using de-scriptive statistics, t-test, and ANOVA.
Results Medical students rated their own academic ethics at 4.46 and their peers at 3.96. Female students rated themselves higher than male students, but rated their peers lower. This gender difference resulted in a statistically significant gap in scores between self- and peer-ratings. Scores showed an upward trend with increasing grade levels and academic stages. In particular, peer scores showed statistically significant differences by phase, and the gap scores between self- and peer-ratings were also statistically significant across different academic phases. Students in the criterion-referenced rating system rated themselves and their peers higher than students in the norm-referenced rating system, although the difference was not statistically significant.
Conclusions The results of this study serve as a basic framework for the development of educational strategies aimed at improving and increasing perceptions of academic ethics among medical students.
Analysis and implications of operational cases of village-linked elementary and secondary level schools in Seoul for the creation of village education ecosystem
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Young Hee , Park Sy Hyun
Published: May 2024

Objectives The purposes of this study were to examine the cases of village-linked schools’ operation report that were operated in elementary and secondary level schools between 2015 year and 2020 in Seoul ito identify the features and implications of village-linked schools policy.
Methods The conceptual framework of analysis was developed to analyze the village-linked schools’ operation reports and then examine the 40 reports of schools using the content analysis methods.
Results First, the village-linked schools appears to understand the importance of philosophy and visions of vil-lage-linked schools but they were unable to create the circumstance and cultures of schools for the task. Second, most schools only set up a task-force team with just several staff members for village-linked school activities showing limitations to construct an effective system and organization for the task. Third, the curriculum and les-sons for village-linked schools were limited to foster the students’ competency and achievement of study. Fourth, the schools tried to share their resources with the village but encountered leadership role limitations in the village. Fifth, most village-linked schools didn’t make an effort to assess students’ competencies and share their achievement. They need to emphasize and share the students’ positive results and achievements obtained by this task with society.
Conclusions First, the operation and system based on the five main divisions of village-linked schools that were utilized for this analysis need close and effective cooperation to succeed and reach the goals of the policy. Second, the people in the schools need to understand the philosophy and values of village-linked schools and then to maintain the operation for many years. Third, most importantly the effective curriculum should be developed and the innovation of lesson and assessment of students’ achievement also should be conducted to succeed the new educational paradigm of village-linked schools.
A study on the factors that restrict teachers' multicultural curriculum organization, operation, and reorganization and the causes of such restrictions
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Jaechang
Published: May 2024

Objectives This study aims to investigate the types and causes of constraints that elementary, middle, and high school teachers experience while organizing, operating, and restructuring the multicultural curriculum. This study investigated trends of the constraints depending on each teacher’s approach to the multicultural curriculum, the opportunity to develop expertise, and the level of practice. this research analyzed the causes of major constraints by qualitative analysis.
Methods Questions to be surveyed were developed based on the implications derived from the analysis of prior theories and previous studies. Afterward, a survey was conducted on 316 elementary, middle, and high school teachers for analysis. And then Written interviews were conducted with 11 teachers to examine the causes of the survey results.
Results Regarding the first research question, the highest rate of responses was that all schools experienced re-strictions that limited other cultures to Korean style. And restrictions were different depending on the school level. Regarding the second research question, And restrictions were different depending on the teacher’s approach to the multicultural curriculum. Multicultural education experience and related work experience showed a positive correlation with the Education Support Office's guidelines. There was a negative correlation between the training time of the multicultural curriculum and the restriction that limited other cultures to the Korean style. About the third research question, it was examined that the constraints stemmed from school structural and contextual causes, respectively.
Conclusions Through this study, first, it is necessary to provide training specialized in the multicultural curriculum but provide incentives for teachers to actively participate and provide practical content, practice cases, and teach-ing and learning materials to make the training more beneficial. Second, it was suggested that an institutional de-vice that can reflect the multicultural curriculum in the school education evaluation plan is needed.