bluuebunny/crossref_metadata_2025 huggingface dataset:
Immunohistochemical study of hormone receptors in endometrium with abnormal uterine bleeding
Authors: Soneji Dhairya K , Andola Sainath K , Andola Umadevi S , Andola Shruti S , Masgal Meenakshi , Patil Anuradha G
Published: August 2024

In the case of AUB, estrogen and progesterone exert their effects by acting on specific nuclei. Receptor proteins such as estrogen receptor (ER) and progesterone receptor (PR). And periodic changes in its expression have been shown in human uterine tissue. Immunohistochemistry (IHC). Immunohistochemistry using specific monoclonal antibodies estimate the content of the receptor at the cellular level and interpret their exact location and distribution.

A two-year descriptive study was conducted. There were a total of 50 cases clinically diagnosed with AUB who underwent hysterectomy and endometrial curettage, and 20 non-AUB controls were included in this study. IHC was performed for ER and PR receptors in all cases and controls.

The age range was 29 to 65 years and the average age of the patients was 43.21 years. Out of 50 patients, 26 were pre-menopausal and 24 were post-menopausal, and the mean hemoglobin, fertility and bleeding duration were 10.34 g/dL, 2.8 and 8.4 days per cycle. The average thickness of the endometrium was 10.5 mm in the cases and 6.25 mm in the control group. Increasing endometrial thickness was statistically significantly related to AUB and increased ER and PR HSCORE in stroma and glands (p<0.001). In terms of histomorphology, the highest number of cases was endometrial hyperplasia without atypia (27 cases), followed by early proliferative phase (7 cases). ER expression was more abundant in glands and PR expression was more in stroma. In endometrial hyperplasia with atypia, the expression of ER and PR was higher than in other endometrial stages.

In addition to pelvic ultrasound and histology, immunohistochemistry. ER and PR have the advantage of allowing these hormone receptors to localize to the tissue.

Endometrial aspiration samples and anxiliary tests in patient treatment allong with AUB. Endometrial hyperplasia is more common in patients with AUB. The concentration of estrogen and progesterone receptors is significantly higher. Therefore, the location and concentration of ER and PR receptors increases and this makes it possible for targeted therapies and avoid invasive surgical procedures using selective progesterone receptor modulators and progesterone antagonists in the treatment of patients with AUB and endometrial hyperplasia.
Comapring a lower dose of carbetocin to the standard dose of carbetocin in the prevention of postpartum hemorrhage during elective cesarean delivery: A randomised parallel group trial
Authors: Yaliwal Rajasri G , Patil Neelamma G , Bidri Shailaja R , Soragavi Vijaya
Published: August 2024

Prophylactic use of uterotonic is a universal practice in vaginal and cesarean delivery. Heat stable carbetocin is a relatively new uterotonic. Lower doses of uterotonics are as effective as standard doses in elective cesarean deliveries. This study aimed to compare the effectiveness and safety of 50 mcg carbetocin (lower dose) to 100mcg carbetocin (standard dose) for the prevention of postpartum hemorrhage during elective cesarean delivery.

A total of 212 term pregnant women were randomized to two group. Group I received 50 mcg of carbetocin and Group II received 100 mcg of carbetocin. The blood loss, tone of the uterus, use of additional uterotonics or styptics, requirement of blood transfusions and adverse effects of the drug in both the groups were compared.

There were no statistically significant differences in both the groups with respect to blood loss, uterine tone, blood transfusions or additional use of uterotonics or styptics.(p>0.05).

: A lower dose of 50 mcg is as effective as the standard dose of 100 mcg of carbetocin in elective caesarean delivery in preventing post-partum hemorrhage.
Myasthenia gravis in pregnancy: Successful outcome with multidisciplinary management
Authors: Kumari Rajesh , Varun Neha , Mahey Reeta , Sharma Jai Bhagwan
Published: August 2024

Myasthenia gravis (MG) is a rare autoimmune disorder characterized by nicotinic acetylcholine receptor autoantibodies, affecting the neuromuscular transmission leading to progressive weakness. MG during pregnancy is a high-risk condition that may affect both the mother and the fetus leading to adverse perinatal outcomes. We are presenting clinical course of two pregnant women, one of them was already diagnosed case of MG and second was diagnosed during postpartum period while waiting for discharge of baby. Literature review of the previously published cases and their management is also presented.
Accessory cavitated uterine mass: A rare cause of severe dysmenorrhoea managed by minimally invasive surgery
Authors: Kabalimurthy Manasa Saraswathy , Pappachan Cyriac , Subhash Roshni , Koothan U T
Published: August 2024

Accessory cavitated uterine mass (ACUM) is a rare congenital mullerian anomaly, encountered in young, nulliparous women. It is a non-communicating cavity, lined by functional endometrium in an otherwise normal uterus, presenting with severe intractable dysmenorrhoea. On ultrasound, it is a striking myometrial lesion but often misdiagnosed due to unfamiliarity. Though studies have described medical management, recurrence of symptoms occurs after discontinuing treatment. Surgical management, either conservative, by excising the lesion completely, or hysterectomy, can resolve the symptoms. Here, we report a 29-year old nulligravida with primary infertility presenting with severe dysmenorrhoea, unresponsive to analgesics. She was preoperatively diagnosed to have an ACUM and was managed by conservative minimally invasive surgery. Histopathology showed endometrium with secretory activity surrounded by myometrium, consistent with our findings. On postoperative follow-up, patient reported complete recovery from dysmenorrhoea. Appropriate diagnosis of this rare entity is a true challenge because of lack of awareness and the wide range of close differential diagnoses. It is imperative to understand and distinguish this peculiar lesion, with an ultimate aim of performing timely surgery, for complete symptom alleviation, especially when fertility is a concern.
Investigating the causal link between gut microbiota and dry age-related macular degeneration: a bidirectional Mendelian randomization study
Authors:   Clinical Medical College of Guizhou Medical University, Guiyang 550004, Guizhou Province, China, Huang Hai-Yan , Qin Bo ,   Clinical Medical College of Guizhou Medical University, Guiyang 550004, Guizhou Province, China, Tan Yao ,   Postdoctoral Station of Clinical Medicine, The Third Xiangya Hospital, Central South University, Changsha 410000, Hunan Province, China; The Third Xiangya Hospital, Central South University, Changsha 410000, Hunan Province, China
Published: August 2024

AIM: To assess the causal link between 211 gut microbiota (GM) taxa and dry age-related macular degeneration (dAMD) risk.
METHODS: Mendelian randomization using instrumental factors taken from a genome-wide association study (GWAS) were used. Inverse variance weighted (IVW) analysis and sensitivity analysis were performed on the FinnGen project, which included 5095 cases and 222 590 controls.
RESULTS: The IVW analysis showed substantial genus- and family-level relationships between GM taxa and dAMD risk. Specifically, the family Peptococcaceae (P=0.03), genus Bilophila (P=3.91×10-3), genus Faecalibacterium (P=6.55×10-3), and genus Roseburia (P=0.04) were linked to a higher risk of developing dAMD, while the genus Candidatus Soleaferrea (P=7.75×10-4), genus Desulfovibrio (P=0.04) and genus Eubacterium ventriosum group (P=0.04) exhibited a protective effect against dAMD. No significant causal relationships were observed at higher taxonomic levels. Additionally, in the reverse IVW analysis, no meaningful causal effects of the 7 GM taxa.
CONCLUSION: These findings give support for the gut-retina axis participation in dAMD and shed light on putative underlying processes. Investigations on the connection between GM and dAMD have not yet revealed the underlying mechanism.
Artificial intelligence in the anterior segment of eye diseases
Authors:   School of Medicine, Nankai University, Tianjin 300071, China; Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100039, China, Liu Yao-Hong , Liu Si-Jia ,   Medical School of Chinese PLA, Beijing 100039, China; Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100039, China, Gao Li-Xiong ,   Medical School of Chinese PLA, Beijing 100039, China; Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100039, China, Tang Yong ,   Chinese PLA General Hospital Medicine Innovation Research Department, Beijing 100039, China, Li Zhao-Hui ,   School of Medicine, Nankai University, Tianjin 300071, China; Medical School of Chinese PLA, Beijing 100039, China; Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100039, China, Ye Zi ,   School of Medicine, Nankai University, Tianjin 300071, China; Medical School of Chinese PLA, Beijing 100039, China; Department of Ophthalmology, Chinese PLA General Hospital, Beijing 100039, China
Published: August 2024

Ophthalmology is a subject that highly depends on imaging examination. Artificial intelligence (AI) technology has great potential in medical imaging analysis, including image diagnosis, classification, grading, guiding treatment and evaluating prognosis. The combination of the two can realize mass screening of grass-roots eye health, making it possible to seek medical treatment in the mode of “first treatment at the grass-roots level, two-way referral, emergency and slow treatment, and linkage between the upper and lower levels”. On the basis of summarizing the AI technology carried out by scholars and their teams all over the world in the field of ophthalmology, quite a lot of studies have confirmed that machine learning can assist in diagnosis, grading, providing optimal treatment plans and evaluating prognosis in corneal and conjunctival diseases, ametropia, lens diseases, glaucoma, iris diseases, etc. This paper systematically shows the application and progress of AI technology in common anterior segment ocular diseases, the current limitations, and prospects for the future.
Assamese and BODO next Word Detection using LSTM
Authors: Das Ajit , Baruah Abhijit , Roy Sudipta
Published: August 2024

The official language of the Indian state of Assam is Assamese, an Eastern Indo-Aryan language. Assamese, the sole native Indo-Aryan language in the Assam Valley, has been heavily impacted by the nearby Tibeto-Burman languages in terms of lexicon, phonetics, and grammar. Its grammar is renowned for its highly inflected forms, and both honorific and non-honorific formulations can include a variety of pronouns and plural nouns. Additionally closely linked to Bengali, Assamese lacks grammatical gender distinctions like Oriya and Bengali. On the other hand, The Bodo language is a variety of dialects of the Tibeto-Burman branch of the Sino-Tibetan languages. Assam, Meghalaya, and Bangladesh are all home to speakers of the Bodo language, which is spoken in northeastern India. It shares linguistic kinship with the Dimasa, Tripura, and Lalunga languages and is written in Bengali, Latin, and Devanagari scripts.
Another name for Next Word Prediction is Language Modeling. Predicting what word will be spoken right away requires commitment. It is one of the primary functions of NLP and has a wide range of uses. Our objective is to create this model as quickly and efficiently as possible. RNNs can interpret prior material and forecast words since they have a lengthy short-term memory, which might be useful for users when building sentences. This method creates words by using letter-by-letter prediction, or letter-by-letter prediction. Users can benefit from next word prediction, which makes typing faster and more accurate. The Assamese and Bodo languages rely on next word prediction since multiple characters can be created by pressing the same consonants combined with different vowels, vowel combinations, and special keys. As a result, we present a Long Short Term Memory (LSTM) network model for Assamese and Bodo next word prediction. With 63,300 point sentences, we test the suggested network model, and it achieves 96 per cent accuracy. In addition, we contrasted the suggested model with cutting-edge models like the LSTM. The proposed network model offers a promising outcome, according to experimental findings.
Metaverse in Education Sector: Current Theories, Research, and Future Directions
Authors: Das Maumita , Patra Prasenjit Kumar , Daw Swarnali , Chakraborty Sayan
Published: August 2024

Education methodologies has taken a complete revamp since the declaration of the Covid-19 pandemic across the globe. The teaching and learning methods became dependent on virtual framework during the Covid-19 Pandemic. Metaverse refers to 3D digital space which bridges the gap between real and virtual world with the help of advanced technologies. The current study highlights its origin, features and possible application in the education sector. Metaverse could be an essential tool in the education sector especially in this era. The current work also provides in-depth discussions of metaverse’s features.
Dynamicity of Web Services and Web Scrapping
Authors: Pawar Sumathi , GuruRaj Manjula
Published: August 2024

This research focuses on dynamic Web service link searching using web scraping (WS). WS is method of extracting required contents from search engine results. The proposed system inputs the functional word to search engine and retrieves required Web services from search engine results. WS method retrieves the links of the Web Service Definition Language from which service and operation elements are extracted and processed to check suitability of Web services. Matched Web services will be clustered and invoked. This research is implemented using J2EE and remote Web services are executed according to user requirement. Analysis of results justified that this will be a suitable search method to search for remote Web services and to execute using open source software.
AI Driven Customer Segmentation and Recommendation of Product for Super Mall
Authors: Dey Dipanwita , Banerjee Kallal
Published: August 2024

The prime objective of the paper is to propose customer segmentation for the retail customer for a large retail chain super mall. Along with customer segmentation, product recommendation is integrated with the system. Segmentation is required to identify the customer with specific behaviour. The real-world data comes from the customer support department of a retail chain super mall. For customer segmentation, the k- means algorithm is applied by using RFM data and the Association Rule Mining algorithm is applied to create the mapping rules between customer segments and favourite products. The customers are segmented into “Traditional”, “High Spending”, “Occasional”, “Low Spending”, “Disloyal” and “Frequent Buyer”. Customer segmentation is necessary for efficient marketing strategy providing discounts, promotions, campaigns, etc. Moreover, the ARM algorithm is used to map the preferred combo for all customer segment. This combined approach is used to create an effective marketing strategy for retail chain management.
Handwritten Digit Classification and Performance Analysis of Different Machine Learning Algorithms and CNN
Authors: De Ayan , Rakshit Saswati , Bhattacharya Debayan
Published: August 2024

This work deals with the method of hand written image classification by using machine learning and deep learning. Python along with Tensor Flow framework is used here for developing the classification model. Image classification can be considered as a supervised learning approach which works on a labelled dataset for classification. Though many research works are going on this machine learning based Image classification, yet it is challenging for accurate classification. This paper focuses on handwritten image data classification task using machine learning algorithms namely K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest classifier (RF). In this paper a comparative analysis is performed on the dataset based on various parameters using different machine learning algorithms. Results are discussed in terms of classification accuracy of different ML based algorithms. From our experiment, it has been noticed that RF Classifier exhibits the highest accuracy of 100% which is followed by SVM having the accuracy of 98% and finally a KNN model having a correctness of 97%. The novelty of this paper is that along with various ML algorithms (RF, KNN, SVM and Naive Bayes) we applied deep learning algorithms (CNN), with three different activation functions and their combinations (RELU, TANH and SIGMOID) along with variation of optimizers (Adam and SGD). Finally performance of the combined optimization method is found to be better than the performance of the individual optimization method.
Dynamic cultures, dynamic responses: The impact on corporate cash holdings amid uncertainty
Authors: Kim Sung Suk , Handoko Liza , Juliana Rita
Published: August 2024

This study investigates the changes in national culture, economic uncertainty, and their joint effects on corporate cash holdings across 58 countries over the period 2004 to 2020. The study also delves into the importance of national culture in amplifying the impact of economic uncertainty in influencing corporate cash holdings. Drawing on three national cultural dimensions, trust-distrust, collectivism-individualism, and duty-joy orientation-based on the European Value Survey (EVS) and World Value Survey (WVS), we employ a panel data model with a fixed effect approach and incorporate the lag of the independent variable to mitigate potential endogeneity issues. Our findings show that transitions in national culture from collectivism to individualism do not significantly decrease corporate cash holdings. Moreover, a cultural shift from distrust to trust does not result in a decrease in corporate cash holdings. Conversely, a move towards a short-term orientation motivates firms to reduce their cash holdings. The interaction between economic uncertainty and collectivism and individualism tends to increase corporate cash holdings. However, there is no difference in the impacts of the three cultural dimensions for financially constrained and unconstrained firms on corporate cash holdings. This study offers significant practical implications, particularly for policymakers in countries where they have strong collectivistic national culture, which may amplify the effects of economic uncertainty.
Substitutive effects of accounting transparency and corporate governance on firm value
Authors: Gil Jangho , Hwang Heeju
Published: August 2024

Recently, there has been increasing emphasis on the importance of accounting transparency and corporate governance. While previous studies have individually examined their impact on firm values, this paper investigates their combined effects. Using data from the Compustat and Center for Research in Security Prices databases obtained through Wharton Research Data Services, we measure accounting transparency and company value, and we employ the E-index as a measure of corporate governance. This study conducts firm, year, and industry fixed effects regressions on a large panel dataset comprising 21,476 firm-year observations. According to our research, both accounting transparency and good corporate governance have negative effects on the value of a company. This means that spending money to improve both may end up costing more than it benefits, which could lower the value of the company. These results support the notion that investors may see that maintaining high levels of accounting transparency and corporate governance can be excessively costly, while an overemphasis on these two metrics could potentially limit the flexibility and creativity of management. These findings have implications for managers tasked with achieving a balance between robust corporate governance, enhanced accounting transparency, and corporate value considerations.
Opportunities of artificial intelligence in valorisation of biodiversity, biomass and bioresidues – towards advanced bio-economy, circular engineering, and sustainability
Authors: Orejuela-Escobar Lourdes , Venegas-Vásconez Diego , Méndez Miguel Angel
Published: August 2024

Artificial intelligence (AI) has rapidly gained notoriety due to fast advances in generative AI. However, this field encompasses a broader set of already mature tools and methods. Here, we explore its broad impact on the valorization of assets directly derived from living organisms, biomass, produced in high quantities and used in non-traditional applications at an industrial scale. For this review, we have explored the trends in scientific publications as well as in patents to measure the current state of the art and the potential for commercial applications. The number of publications and patents is rapidly increasing, showing the penetration of these technologies into chemical and biochemical engineering processes. The ethical considerations of such rapid advances need to be addressed to maximize the benefits and minimize the unintentional collateral negative social impact. Considering AI’s current limitations, biases, and economic impacts will facilitate a better transition to the broad implementation of these new technologies. The valorization of biomass and bioresidues, along with the sustainable use of biodiversity, faces important challenges and obstacles that AI tools are helping to overcome, accelerating basic research and optimizing industrial processes in the development of sustainable energy, and high value-added bioproducts and biomaterials. The application of AI in these fields promises industrial innovation, enhanced efficiency, cost reduction and increased product yields for a global growing market; and thereby promotes Circular Engineering and Advanced Bioeconomy to achieve United Nations Sustainable Development goals in the near future.
Applied regression modeling to propose policy recommendations for green banking development in Vietnam
Authors: Linh Phan Thi
Published: August 2024

In Vietnam, green banking plays a critical role in successfully implementing the National Strategy on Green Growth for 2021-2030, vision to 2050. Green banking helps businesses invest in projects, programs and infrastructure to reduce emissions and protect the environment. Therefore, qualitative and quantitative investigations were conducted to identify the critical factors of green banking development. The structural equation model (SEM) analyzes the complex relationships between several factors related to green credit based on a survey of 450 staff members. The research provides lawmakers and bank executives with the scientific basis for new ideas. This study seeks to improve green banking institutions and offer specific solutions to promote banking and credit products and apps to help enterprises expand their green credentials. The findings also support the government and functional agencies in improving project appraisal stages and strengthening hygiene and safety credit inspections in credit policies for green banks. Finally, the results have green credit applications that advise the government to enhance the regulatory framework of green banking under international standards to provide transparency. Simultaneously, improving the practicum framework for green economic sectors and developing conventional green financial markets is necessary to create a foundation for green banking development in the future.
Teachers’ nutrition knowledge as a moderator on the association of habitual physical activity and quality of life among college students
Authors: Wang Ning , Chin Yit Siew , Appukutty Mahenderan
Published: August 2024

The study employed a longitudinal design over six months gathering data in three sessions spaced two months apart and comprising 329 students from five Chinese universities. The PLS-SEM (partial least squares structural equation modelling) method was used to analyse the data. The main goal of this study is to investigate the connection between exercise and college students' growth and well-being. This study seeks to identify reasons to provide colleges with focused therapy to enhance their students' overall performance. The findings of this research showed that physical activity improves students’ general quality of life particularly their self-esteem, life satisfaction and positive and negative emotions. Nutrition education and teacher support can help students optimize the excellent impact of exercise on their general quality of life. These findings have ramifications for Chinese college campuses, emphasizing the importance of encouraging physical exercise and improving teachers' understanding of student nutrition. Colleges can support their students' quality of life by encouraging frequent exercise and offering nutrition knowledge.
Phenotypic and genotypic characterization of methicillin resistant Staphylococcus aureus associated with pyogenic infections
Authors: Krishnakumar Sharanya , Mohamed Khalid Abdul Azeez , Sowndarya Jothipandian , Krishnasamy Lakshmi , Nithyanand Paramasivam
Published: August 2024

Background and Objectives: Staphylococcal infections are one of the major infectious diseases affecting globally in spite of advances in development of antimicrobial agents. Knowledge and awareness about the local pattern and prevalence of MRSA infections plays a key role in treatment. The aim of this study was to identify MRSA strains by phenotypic and ge- notypic methods and to analyze the antibiotic susceptibility pattern of MRSA strains from patients attending a tertiary care hospital.
Materials and Methods: This study was conducted over a period of 1 year, where 296 isolates of Staphylococcus aureus were isolated from various clinical specimens. The isolated strains were examined for antibiotic susceptibility by the modi- fied Kirby Bauer disc diffusion method. Methicillin resistance was detected by cefoxitin disk diffusion test.
Results: A total of 104 isolates were found to be MRSA and 192 were found to be MSSA. Among the 104 MRSA isolates,
10 strains that were multidrug resistant were subjected to 16S rRNA gene sequencing analysis. All the 10 strains had a 99% match with S. aureus strains that were responsible for causing some serious biofilm mediated clinical manifestations like cystic fibrosis and device mediated infections. The biofilms were quantified using crystal violet staining and their ability to produce biofilms was analyzed using scanning electron microscopy and matched with the Genbank.
Conclusion: Hence these phylogenetic analysis aid in treating the patients and combating resistance to antibiotics.
Precision medicine in practice: unravelling the prevalence and antibiograms of urine cultures for informed decision making in federal tertiary care- a guide to empirical antibiotics therapy
Authors: Farwa Umme , Wazir Samia , Kursheed Farhan , Shoaib Bisma , Batool Sheza , Shafiq Muhammad
Published: August 2024

Background and Objectives: Urinary tract infections (UTIs), one of the most prevalent bacterial infections, are facing limited treatment options due to escalating concern of antibiotic resistance. Urine cultures significantly help in identification of etiological agents responsible for these infections. Assessment of antibiotic susceptibility patterns of these bacteria aids in tackling the emerging concern of antibiotic resistance and establishment of empirical therapy guidelines. Our aim was to determine various agents responsible for urinary tract infections and to assess their antibiotic susceptibility patterns.
Materials and Methods: This cross-sectional study was performed over a period of six months from January 2023 to July 2023 in Department of Microbiology of Pakistan Institute of Medical Sciences (PIMS).
Results: Out of 2957 positive samples, Gram negative bacteria were the most prevalent in 1939 (65.6%) samples followed by Gram positive bacteria in 418 (14.1%) and Candida spp. in 269 (9.1%) samples. In gram negative bacteria, Escherichia coli (E. coli) was the most prevalent bacteria isolated from 1070 samples (55.2%) followed by Klebsiella pneumoniae in
397 samples (20.5%). In Gram positive bacteria, Enterococcus spp. was the most common bacteria in 213 samples (51%) followed by Staphylococcus aureus in 120 samples (28.7%). Amikacin was the most sensitive drug (91%) for Gram negative bacteria. Gram positive bacteria were most susceptible to linezolid (97%-100%).
Conclusion: The generation of a hospital tailored antibiogram is essential for the effective management of infections and countering antibiotic resistance. By adopting antimicrobial stewardship strategies by deeper understanding of sensitivity patterns, we can effectively combat antibiotic resistance.
Identification of fungal agents isolated from burn lesions using mycological and molecular methods in patients admitted to Velayat burn hospital in Rasht city during 2022-2023
Authors: Ardi Pegah , Ghazvini Roshanak Daie , Hashemi Seyed Jamal , Mobayen Mohammadreza , Pourheidari Abolfazl , Khodavaisy Sadegh , Abastabar Mahdi , Rafat Zahra
Published: August 2024

Background and Objectives: Fungal burn wound infections (FBWIs) are one of the most disastrous complications in burn patients. The present study investigated the incidence and the species distribution of fungal agents isolated from burn lesions and reviewed the feautures, underlying conditions, and outcomes of patients.
Materials and Methods: The wounds were swabbed and cultured on Sabouraud Dextrose Agar with chloramphenicol medi-

Fungal identification was performed using internal transcribed spacer (ITS) and beta-tubulin sequencing.

Results: A total of 380 swab specimens were obtained. Of these, 101 patients (26.75 %) were positive in culture. Among the 101 positive cases, most isolates were from males  (n= 68, 67.33%) and most of them were over 30 years old. Flame (n=38, 37.63%) was the predominant cause of burns, and previous history of ICU admission (n=35, 34.66%), presence of central venous catheter (n=25, 24.75%), and diabetes mellitus (n=17, 16.83%) were the main underlying conditions. Candida para- psilosis complex (n=36, 35.64%), and Pichia kudriavzevii (C. krusei) (n=8, 7.92%) represent the most commonly isolated species Also, 2 out of 101 patients (2%) died.
Conclusion: In the present study, non-albicans Candida species were much higher frequent than C. albicans with most cases associated with Candida parapsilosis complex.
Diagnostic value of antibody testing in comparison with lung scan and PCR in patients suspected of having COVID-19
Authors: Shirani Kiana , Hajihashemi Milad , Mortazavi Ashkan , Assadi Alireza , Baradaran Azar , Ataei Behrooz , Badei Hossein
Published: August 2024

Background and Objectives: SARS-CoV-2 is a newly discovered viral infection. It’s still unclear how antibodies react in infected individuals, and there is not enough evidence to support the clinical use of antibody examination. This study evalu- ates the diagnostic value of serologic tests for diagnosing COVID-19.
Materials and Methods: 32 patients for whom serologic testing was performed within 7 to 21 days from symptom onset and whether they were diagnosed with COVID-19 by both PCR and lung HRCT as gold standard tests at the same time, were included in the study.
Results: Serologic tests (IgM / IgG) compared to PCR and lung HRCT scan to diagnose COVID-19, were 89.3% specific and 59.6% sensitive. Positive predictive value (PPV) was 95% and negative predictive value (NPV) was 37%. The diagnostic accuracy index of the serologic test was 0.745 (CI 0.651-0.838) (p-value <0.001).
Conclusion: Serologic testing can be a complementary alternative for SARA-CoV-2 nucleic acid RT-PCR, although it can- not replace it completely. IgG/IgM combo test kits and RT-PCR together can give more insight into the diagnosis of SARS- CoV-2.
Effect of Mentha longifolia essential oil on oqxA efflux pump gene expression and biofilm formation in ciprofloxacin-resistant Klebsiella pneumoniae strains
Authors: Keyhani Shahriar , Alikhani Mohammad Yousef , Doosti-Irani Amin , Shokoohizadeh Leili
Published: August 2024

Background and Objectives: Today, medicinal plants and their derivatives are considered to reduce the prevalence of an- tibiotic resistance. The aim of this study was to investigate the effect of Mentha longifolia essential oil on oqxA efflux pump gene expression and biofilm formation in ciprofloxacin-resistant Klebsiella pneumoniae strains.
Materials and Methods: A total of 50 clinical strains of K. pneumoniae resistant to ciprofloxacin were studied. The min- imum inhibitory concentration (MIC) of M. longifolia essential oil and its synergistic effect with ciprofloxacin were deter- mined using the microbroth dilution method and the fractional inhibitory concentration (FIC) method. Minimum biofilm inhibition concentration (MBIC) of M. longifolia essential oil was detected. The effect of essential oils on the expression level of the oqxA gene was detected by Real-time PCR.
Results: M. longifolia essential oil showed inhibitory activity against ciprofloxacin-resistant strains of K. pneumoniae. When M. longifolia essential oil was combined with ciprofloxacin, the MIC was reduced 2-4 times. In 28% of the strains, M. lon- gifolia with ciprofloxacin showed a synergistic effect. M. longifolia essential oil reduces the strength of biofilm formation and alters the biofilm phenotype. A significant decrease in oqxA gene expression was observed in all isolates after treatment with M. longifolia essential oil.
Conclusion: Based on the results of this study, it was observed that supplementing M. longifolia essential oil can help reduce ciprofloxacin resistance and inhibit biofilm formation in fluoroquinolone-resistant K. pneumoniae strains.
A Complementary Therapy with Trigonella foenum -graecum L. and Citrullus colocynthis (L.) in Type 2 Diabetes Mellitus: A Double -Blind Randomized Controlled Clinical Trial
Authors: Pezeshki Babak , Torabi Seyed Mohammadreza , Rahimabadi Massih Sedigh , Pourmontaseri Hossein , Namjoyan Foroogh , Dabbaghmanesh Mohammad Hossein , Zarenezhad Elham , Sharafi Mehdi , Chijan Mahsa Rostami
Published: August 2024

Background & Objectives: Diabetes is a known chronic disease affecting more than 400 million people and causing millions of deaths worldwide annually. The World Health Organization predicts that by 2030, diabetes will become the seventh leading cause of death. In the last decades, numerous chemotherapy approaches have been used. However, herbal remedies have accounted for more than 70 percent of the total administered antidiabetic treatments during the last decade. In this study, we aimed to develop a novel natural antidiabetic therapy with Trigonella foenum -graecum (T. foenum -graecum) L. and Citrullus colocynthis (C. colocynthis) (L.). Based on past studies, using C. colocynthis singly can cause diarrhea, abdominal pain, and heartburn, hence in order to reduce these complications, we applied this plant in combination with T. foenum -graecum based on the recommendations of Persian medicine references.
Materials & Methods: We admitted 34 diabetics aged 30 -65 years old to design a double -blind parallel randomized controlled clinical trial. We prepared therapeutic capsules containing a combination of 40 mg of C. colocynthis and 350 mg of T. foenum -graecum L. We divided participants into an interventional (n=17) and placebo (n=17) groups and measured fasting blood sugar (FBS) levels, lipid profile, and liver function tests initially. After two weeks, all participants returned for a visit, and FBS and blood sugar (BS) were measured. At the end (12th week), all outcomes were measured and analyzed using an independent t -test and Chi -squared (χ2 ).
Results: The FBS levels decreased significantly in the intervention group compared to that of the control group (171.8±54.9 versus 149.6±46.4, p=0.024), but the improvement s in the lipid profile and liver function were not statistically significant.
Conclusion: This study unveiled that combination of T. foenum -graecum L. and C. colocynthis L. at safe levels significantly decreased the FBS levels among T2DM patients. Further studies are needed to provide more efficient antidiabetic effects with the low side effects.
Cloud Migration Strategies: Ensuring Seamless Integration and Scalability in Dynamic Business Environments
Authors: Kommisetty Phani Durga Nanda Kishore , Abhireddy Nareddy
Published: August 2024

The migration of a company's information systems to a cloud platform is a crucial part of the transformation of IT infrastructure. However, due to the mixture of business goals and limitations in existing IT systems, the selection and realization of these goals is not a simple one. In this paper, we present a model describing the possibility of migrating business information systems into a cloud environment by following the stochastic model approach. By properly identifying and defining various process aspects, it is relatively simple to adapt analysis and limit the transition probability matrix to well-known stochastic models. Careful manipulation of such a matrix allows using standard formulas for scaling discrete event systems to solve cloud migration problems. A detailed case study with simulation results, pointing to some of the practical limitations of the model, is presented at the end of this paper.
MECHANISM BY WHICH HORIZONTAL CRACKS ARE GENERATED IN A BRIDGE SLAB DUE TO FROST DAMAGE
Authors:   Civil Engineering Research Institute for Cold Region, Japan, Hayashida Hiroshi
Published: August 2024

Horizontal cracks caused by frost damage have been found in the RC slabs of highway bridges in snowy and cold areas. However, the mechanisms by which such cracks occur and propagate have not been clarified. In this study, we conducted experiments to reproduce horizontal cracking due to freeze-thaw action using large slab specimens, and we investigated the mechanism of such cracking. As a result, we were able to experimentally reproduce horizontal cracks similar to those of an actual bridge slab, and this horizontal cracking occurred near the 0℃ point. This is because below the 0℃ point is frozen, so the water from the upper surface accumulates at the 0℃ point, and the width of the horizontal crack is widened by the ice lens which is formed in the process of freezing the water.
Judicial Protection of Due Order of Proceedings in a Criminal Case
Authors:   PhD (Law), Associate Professor, Karetnikov Aleksandr S.
Published: August 2024

The article substantiates the conclusion that the purpose of the court’s activity in considering and resolving petitions for the application of a measure of restraint in the form of arrest is to protect the proper procedure for the proceedings in a criminal case, and not to protect the rights of the suspect (accused); reducing the practice of arrest is a way to disorganize criminal procedure activities in many criminal cases.
REPEATED VIOLATION OF ROAD TRAFFIC REGULATIONS AS A BASIS FOR CRIMINAL LIABILITY
Authors:   Postgraduate Student of the Moscow State Institute of International Relations (University), Lyubimova Galina M.
Published: August 2024

The subject of the research is Articles 264.1, 264.2, 264.3 of the Criminal Code of the Russian Federation. Writing of the article involved an analysis of regulations and legal publications. This study has revealed circumstances accompanying violation of road traffic regulations that stipulate bringing to criminal liability. The author reviews various opinions of lawyers and researchers of the legal science concerning the administrative prejudice phenomenon. The obtained results may be of interest for employees of law enforcement authorities, lecturers, representatives of the legislative system and attorneys. The scientific novelty of the research lies in the analysis of repeated violations of road traffic regulations from the administrative prejudice standpoint and the evaluation of administrative prejudice from the position of Russian legal theorists and provisions of the Constitution of the Russian Federation. Characteristic features of articles of the Criminal Code of the Russian Federation associated with repeated violations of road traffic regulations are willful intent, repeated offenses and an increased degree of social danger. We believe that the introduction of criminal liability if a person has earlier committed an offense within the framework of the Administrative Offenses Code of the Russian Federation puts citizens in an unequal position, which contradicts provisions of the Constitution of the Russian Federation, thus, further study of this problem is required.
SPECIFIC FEATURES OF JUDICIAL INVESTIGATION WITHIN PROCEEDINGS UNDER THE SPECIAL PROCEDURE UNDER THE LAWS OF THE RUSSIAN FEDERATION AND OTHER CIS MEMBER STATES
Authors:   Advisor at the Second General Jurisdiction Court of Cassation, Batchaeva Erna K.
Published: August 2024

The article is dedicated to the study of specific features of judicial investigation within proceedings under the special procedure. The author carries out a comparative review of the laws of Russia and other CIS member states. Special attention is paid to court activities at the beginning and termination of judicial investigation within special proceedings.
Evaluation of YouTube Videos as a Source of Information about Dementia Care
Authors: Erkoç Ataoğlu Esra , Batur Çağlayan Hale
Published: August 2024

Aim: Digital platforms such as YouTube are popular sources of health-related information. Although there are studies evaluating the quality of different online medical content, studies focusing on the quality of dementia-related content are limited. This study aimed to investigate the quality of YouTube videos related to dementia patient care.
Material and Methods: Using the term "Dementia care" on the YouTube platform, 100 English videos that met the inclusion criteria were identified and analyzed. In addition to video popularity measurements, to evaluate content quality, the global quality scale (GQS), modified DISCERN scale, Journal of the American Medical Association (JAMA) quality scale, and the patient education materials assessment tool for audio/visual materials (PEMAT-A/V) are used.
Results: It was observed that most of the videos were uploaded by non-academic health institutions (36%) and health professionals (23%). When the content of the videos was evaluated, it was determined that general care strategies were the most common content with 52%. Scores indicating high levels of reliability and accuracy were determined on all applied content quality scales. Videos sourced from academic healthcare institutions were found to have the highest scores on content quality scales. In correlation analyses, video metrics such as duration, view ratio, number of comments, and video power index values were positively correlated with content quality scores.
Conclusion: Videos about dementia patient care on YouTube generally exhibit high popularity and content quality. Individuals seeking information about dementia care on online platforms should be directed to videos uploaded by healthcare institutions.
Diagnosis and Treatment Approaches in Vaginal Agenesis
Authors: Başbuğ Alper
Published: August 2024

The development of the female genital system is a complex process that depends on a series of events involving cellular differentiation, migration, fusion, and recanalization. Failure of any of these processes results in congenital anomalies. Developmental anomalies can occur at various stages, resulting in conditions that impact both the urinary and reproductive systems. In younger patients, such malformations can significantly affect their overall health and quality of life, including aspects such as fertility, sexual function, and psychological well-being. The psychosexual effects of vaginal agenesis should not be overlooked, and clinical care primarily involves comprehensive counseling and support through open communication with the patient. For adult patients, treatment for vaginal agenesis typically starts with therapeutic counseling and education, with non-invasive vaginal dilation being recommended as the first-line approach, or surgery if necessary. Consequently, managing these issues often requires a multidisciplinary approach, engaging specialists such as urologists, gynecologists, endocrinologists, and geneticists, among others. Early detection and timely intervention can greatly enhance the outlook for individuals with these conditions. Besides considering the patient's expectations, the surgeon's experience plays a crucial role in selecting the appropriate surgical technique. This is because the success of the initial surgery is critical to the effectiveness of any subsequent procedures if required. In this review, the evaluation and treatment of vaginal agenesis, which constitutes an important part of congenital anomalies of the vagina, were discussed.
Przyjaźń i zobowiązanie w relacjach badacz – badany
Authors: Kaniowska Katarzyna , Kaniowski Andrzej M.
Published: August 2024

Artykuł dotyczy kwestii osobistego doświadczenia, przyjaźni, zaangażowania i zażyłości w etnograficznych badaniach terenowych. Z ich obecnością związane są problemy metodologiczne i etyczne. Autorzy odpowiadają na dwa podstawowe pytania: Czy i w jakim sensie przyjaźń w relacji badacza z badanym jest możliwa? Jaki ma ona wpływ na rezultaty badań antropologicznych?
Boże Ciało Adama Sikory albo okruchy śląskiego życia
Authors: Sikora Sławomir
Published: August 2024

Tytuł filmu Adama Sikory odsyła do jednego z najważniejszych świąt katolickich. Lipiny (Śląsk, nieopodal Katowic), gdzie został nakręcony, słyną z barwnej i spektakularnej procesji, która odbywa się w Boże Ciało. Jednak film koncentruje się raczej na idiomie życia codziennego, życiu w miejscu, gdzie na skutek transformacji przemysłowej wiele rodzin i osób dotknęła skrajna bieda. Autor zauważa, że film Sikory jest bliski dokumentowi etnograficznemu: pokazuje biedę, ale nie egzotyzuje. Pokazuje trudną rzeczywistość, ale jednocześnie sprawczość, sposoby „radzenia sobie” i solidarność w trudnej sytuacji. Siłą filmu jest nie tylko nacisk na „znaczenia” („opis gęsty”), ale również na – ignorowany często przez antropologów – „opis rzadki”: to, co można by też za Eelco Runią i Hansem Ulrichem Gumbrechtem nazwać „obecnością”. Dzięki ukazaniu mise-en-scène w filmie pojawia się wielu „pasażerów na gapę” – wyrażenie Runii, który postuluje większą metonimiczność opisów. W swoim wywodzie na temat filmu Sikory autor polemizuje z twierdzeniem Jill Godmilow postulującej zerwanie z tradycyjnym dokumentem (Kill the Documentary as We Know It).
Góralska kuchnia. Pomiędzy etnograficznym detalem a późnonowoczesnym symulakrum
Authors: Walczak Karol
Published: August 2024

Niniejszy tekst przedstawia fenomen tzw. góralskiej kuchni w perspektywie przemian, jakich doświadczała tradycyjna kultura Podhala od drugiej połowy XIX w. po czasy współczesne. W części pierwszej prezentuje podstawowe składniki i dania prostej i bardzo ubogiej kuchni pastersko-chłopskiej z okresu odkrywania Podhala i zawiązywania się mitu góralszczyzny. W dalszej części analizuje procesy, jakie zadecydowały o jakościowej przemianie góralskiego gotowania pod Tatrami, które, choć z pozycji klasycznego etnografa pozostaje w luźnym związku z tradycyjną kuchnią, to dla odwiedzających Podhale turystów, a także samych mieszkańców, staje się ważnym wyznacznikiem lokalnego kolorytu i góralskiej tożsamości.
Wyobrażanie krajobrazu po przemyśle w gminie Kleszczów – szkic antropologiczny o pewnej dziurze
Authors: Piotrowska Alicja
Published: August 2024

Teren gminy Kleszczów stanowi przedmiot badań etnograficznych od lat 60. XX w. To wtedy, przed radykalną transformacją krajobrazu (odkryciem i eksploatacją węgla brunatnego), łódzcy etnografowie podjęli próbę zbadania tego obszaru. Po 60 latach wróciliśmy w teren z podobnym zamiarem uchwycenia w etnograficznej soczewce lokalnych realiów przed kolejną zmianą, tym razem związaną z planem wygaszenia kopalni. Artykuł ten ma na celu przede wszystkim przedstawienie sposobu, w jaki mieszkańcy wyobrażają sobie przyszłość miejsca, w którym żyją, w związku z nadchodzącą zmianą – przekształceniem „Wielkiej Dziury” w sztuczny zbiornik wodny i nadaniem temu obszarowi charakteru turystycznego.