bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Approach for Product Quality Check Based on Social Networks Opinions Analysis
Authors: Adil Enaanai Et al. 
Published: December 2023

In this paper, we aim to enhance the relevance of e-commerce web sites by a prior quality checking of proposed products. This checking is done by analyzing social networks and YouTube videos comments.
To achieve this objective, we have broken down the work into a few steps. The first one consists in scraping text from social networks groups and storing it in a NoSQL graph database. Each scraped word is linked to one or many reactions that are coming from the social network. Therefore, we can utilize the database as a knowledge source that associates each set of terms with a specific type of reaction: positive, negative or neutral. Afterwards, we use a TF-IDF based filtering method to keep only relevant words and eliminate those which are a connected to all reactions. The advantage of this stage is the presence of a knowledge source that can be used for product quality checking.
In the e-commerce web site, data are coming from multiple e-commerce websites. The latter, offer products without quality checking. Concretely, we aim to allow users to check quality by a simple check button which call an implemented web service using human reactions and comments. After evaluating our approach, we have obtained an accuracy of 0,75. This result means that our method gives a three quarter of chance to have a good product.
A Tutorial on Cross-layer Optimization Wireless Network System Using TOPSIS Method
Authors: S. Nithya Et al. 
Published: December 2023

Each other, leading to issues such as interference, limited bandwidth, and varying channel conditions. These challenges require specialized optimization techniques tailored to the wireless environment. In wireless communication networks is to maximize the overall system throughput while ensuring fairness among users and maintaining quality of service requirements. This objective can be achieved through resource allocation optimization, where the available network resources such as bandwidth, power, and time slots are allocated to users in an optimal manner. Optimization-based approaches in wireless resource allocation typically involve formulating the resource allocation problem as an optimization problem with certain constraints.. These techniques provide practical solutions with reduced computational complexity, although they may not guarantee optimality. In summary, optimization-based approaches have been instrumental in studying resource allocation problems in communication networks, including the wireless domain. While techniques from the Internet setting have influenced the understanding of congestion control and protocol design, specific challenges in wireless networks necessitate tailored optimization techniques that account for interference, limited bandwidth, and varying channel conditions. power allocation problem in wireless ad hoc networks Cross-layer optimization refers to the process of jointly optimizing the allocation of resources across different layers of wireless networks, the interactions between different layers become more complex due to the shared medium and time-varying channel conditions. Nash equilibrium, where no user can unilaterally improve its own performance by changing its strategy. Game theory can capture the distributed nature of wireless networks and provide insights into the behavior of users in resource allocation scenarios Additionally, heuristics and approximation algorithms are often employed in wireless resource allocation due to the complexity of the optimization problems involved. In traditional cellular systems, each user is allocated a fixed time slot for transmission, regardless of their channel conditions. However, in opportunistic scheduling. Alternative parameters for “Data rate Ž kbps, Geographic coverage , Service requirements , cost ” Evaluation parameter for “Circuit-switched cell, CDPD, WLAN, Paging, Satellite.” “the first ranking training is obtained with the lowest quality of compensation.”
Implementation of Synthesize GAN Model to Detect Outlier in National Stock Exchange Time Series Multivariate Data
Authors: Swati Jain Et al. 
Published: December 2023

This research work explores a novel approach for identifying outliers in stock related time series multivariate datasets, using Generative Adversarial Networks (GANs). The proposed framework harnesses the power of GANs to create synthetic data points that replicate the statistical characteristics of genuine stock related time series. The use of Generative Adversarial Networks to generate tabular data has become more important in a number of industries, including banking, healthcare, and data privacy. The process of synthesizing tabular data with GANs is also provided in this paper. It involves several critical steps, including data collection, preprocessing, and exploration, as well as the design and training using Generator and Discriminator networks. While the discriminator separates genuine samples from synthetic ones, the generator is in charge of producing synthetic data. Generating high quality tabular data with GANs is a complex task, but it has the potential to facilitate data generation in various domains while preserving data privacy and integrity. The results from the experiments confirm that the GAN framework is useful for detecting outliers. The model demonstrates its proficiency in identifying outliers within stock-related time series data. In comparison, our proposed work also examines the statistics and machine learning models in related application fields.
Correlation of intraoperative squash smear and histopathology in central nervous system lesions: A 6-year retrospective study in a tertiary care hospital in Kerala
Authors: Chimmen Jeena V , Hasna KV Ayisha , Sebastian Angela Ann , Mathew Jassal , Nair Vismaya 
Published: December 2023

Intraoperative squash smear cytology is considered to be of great value in intraoperative consultation of CNS pathology. It is a simple and reliable tool for rapid intraoperative diagnosis of CNS tumors. The study was undertaken to assess the accuracy of intraoperative squash smear in the diagnosis of CNS lesions and to correlate the squash cytology diagnosis with histopathological diagnosis taking the latter as the gold standard. A retrospective study of 38 cases of CNS lesions from which samples were collected by surgery or biopsy for intraoperative consultations and histopathological diagnosis. Radiologically confirmed cases were only included in the study. Smears were prepared from the biopsy sample obtained at the time of operation and were stained with hematoxylin and eosin. Remaining tissue submitted for histopathology was later correlated with intraoperative cytology diagnosis. Out of 38 cases, histopathological diagnosis was compatible with cytological diagnosis in 36 cases, two cases showed discrepancies. The diagnostic accuracy of squash cytology was 94.73%. Even though two cases were diagnosed differently in cytology, it was proved to be a malignant tumor both in squash cytology and histopathological diagnosis. Hence sensitivity, specificity, positive predictive value and negative predictive value in detecting the neoplastic condition on cytology was 100% respectively. Squash smear is a rapid, self-sufficient and cost effective method for the intraoperative diagnosis of CNS tumors. It can be considered as a mirror image to histopathological diagnosis and is of great value in intraoperative consultation of CNS pathology.
Hand dermatitis, Prevalence and Risk Factors among Healthcare Workers during the COVID-19
Authors: Motamedrezaei Omolbanin , Lotfi Hamed , Jahani Farnaz , Sharifzadeh GholamReza , Rajabipour Hadis , Laal Fereydoon 
Published: December 2023

Background: Healthcare workers (HCWs) need to perform new preventive measures to protect themselves and patients against ongoing COVID-19 transmission, which can increase hand dermatitis (HD) among them. This study aims to investigate the prevalence of HD among HCWs and its possible risk factors in IRAN.
Methods: A survey of 159 HCWS working in university hospitals was performed from August to September 2020 in a cross-sectional study. Research data were collected via standardized self-administered questionnaire. The history of HD was determined via standardized Nordic Occupational Skin Questionnaire (NOSQ-2002).
Results: The prevalence of HD in the study population was 51.6%. A significant association was found between the prevalence of HD among HCWs and sex, age, working hours per week, and wearing gloves (P<0.05). Females had a 3.84 fold higher risk of HD than males (confidence interval (CI): 1.85-8). HCWs older than 40 and those who aged 30-39 had a 9.6 and 1.72 fold higher risk of HD than those aged 20-29 (CI: 2.6-35.7; CI: 0.87-3.4, respectively).
Conclusion: Possible risk factors for developing HD among HCWs are female gender, age, wearing gloves, and fewer working hours per week. Preventive measures for HD are needed for HCWs, especially during the COVID-19 pandemic.
Blood Serum Levels of Magnesium in Patients with Benign Paroxysmal Positional Vertigo
Authors: Akbarpour Maliheh , Jalali Mir Mohammad , Sadeghzadeh Nafiseh 
Published: December 2023

Background and Aim: Magnesium is essential for the morphogenesis of otoconia. The imbalance in the chemical composition of otoconia can make people susceptible to Benign Paroxysmal Positional Vertigo (BPPV). The primary outcome was to compare serum magnesium levels in BPPV patients with controls. The Ca/Mg ratios in participants are also recorded and analyzed in the present study.
Methods: In this case-control study, we measured the serum Mg, Ca, and vitamin D in BPPV patients and age-, sex-matched subjects without BPPV. The results were adjusted for Ca, vitamin D, hypertension, and body mass index.
Results: A total of 123 BPPV patients participated in this study. The mean Mg value was higher in patients than controls (2.01 vs. 1.95 mg/dL, p=0.030). Condition logistic regression analyses showed a higher rate of BPPV among subjects with low Ca/Mg ratio (quartile 1), relative to subjects with medium ratio (quartiles 2 and 3) (adjusted OR: 3.92, p=0.003).
Conclusion: The present study demonstrated an imbalance of Ca and Mg in the BPPV patients as significantly higher Mg levels and lower serum Ca/Mg ratio. Although it appears decreased Ca/Mg ratio to be a risk factor for BPPV, this result should be confirmed in confirmatory studies.

Keywords: Magnesium; calcium; benign paroxysmal positional vertigo; otolithic membrane; matched-pair analysis
Design and Development of a Visual Comfort Questionnaire (VCQ) for Employees in the Workplace
Authors: Rahmiani-Iranshahi Mostafa , Shafiee-Motlagh Masoud , Dortaj Elahe , Farhadian Maryam 
Published: December 2023

Background and Objectives: Visual comfort is an important and influential factor on safety, mental health, sleep quality, and musculoskeletal disorders of employees in the workplace. This study aimed to design and develop a questionnaire to assess the visual comfort of employees in the workplace.
Methods: The study was performed on 101 participants (88 men and 13 women) in the food industry. First, the available lighting questionnaires in the field of lighting were reviewed, and a question bank was set up. Twenty questions were considered in two sections of natural and artificial lighting (10 questions in each section) based on the opinion of 10 experts in this field. The validity of the questionnaire was assessed using the content validity index (CVI) based on the comments of experts. To validate the questionnaire in the workplace, The lighting of employees' workstations was evaluated according to the Illuminating Engineering Society of North America (IESNA) standards and compared with the results of the questionnaire.
Results: The Cronbach's alpha of natural and artificial lighting visual comfort questionnaire was 0.858 and 0.922, respectively. The total CVI of the questionnaire was 1. There was a significant positive relationship between the score of the visual comfort questionnaire and the workstations' illumination (P = 0.001). More than 97% of employees who had workstations with the desired lighting reported excellent levels of visual comfort.
Conclusion: The visual comfort questionnaire had good and acceptable reliability and validity. This tool is recommended for the use of visual comfort asessments of employees in work environments given the fewer number of and simplicity of sentences.
Red Ginger's Anti-Anxiety Effect on BALB/c Strain Mice (Mus musculus) Pro-Inflammatory and Anti-Inflammatory Measurements as Anxiety Model
Authors: Dania Ira Aini , Rambe Aldy Safruddin , Harahap Urip , Effendy Elmeida , Wahmurti Tuti , Ilyas Syafruddin , Rusda Muhammad , Amin Mustafa Mahmud 
Published: December 2023

There is a correlation between the occurrence of anxiety and the production of inflammatory mediators, and red ginger rhizome is a well-known herbal product with a high content of phenolic and flavonoid compounds that can be used as anti-inflammatories and antioxidants. The aim of study to evaluate the effect of red ginger as antianxiety in mice (Mus musculus) BALB/c strain by measuring levels of TNF-α, IL-6 and IL-10. Anxiety model mice were carried out by giving treatment with the Forced Swimming Test (FST) for 7 days then assessed by carrying out the Elevated Plus Maze for Mice (EPM) test for one day. After the treatment, the anxiety mice model was made, followed by administration of red ginger ethanol extract therapy for 14 days. The distribution of the experimental animal model groups was divided into control groups (KN, K-, K+) and treatment groups (P, P2, P3).There was a significant difference the decreased of the TNF-α levels at the all of treatment groups with red ginger rhizome extract (P1, P2, P3) compared with the control groups (KN, K-) (p<0.05), the significantly decreased of IL-6 levels in the three doses treatment group (P1, P2, P3) compared to the control group (K-, K+) (p <0.05) and an increase in IL-10 levels in the 50 mg treatment group compared to group K -, statistically not significant (p>0.05).In overall, this study suggests that FST stimulation will create anxiety symptoms and behavior as well as impact cytokine levels, namely elevated levels of TNF-α and IL-6. Giving red ginger ethanol extract has the potential to be researched further for reducing anxiety symptoms because it can block pro-inflammatory cytokines by significantly decreased levels of TNF-α, IL-6, and increased IL-10 cytokines a brief abstract about your paper’s subject of study.
Rapid and accurate multi-phenotype imputation for millions of individuals
Authors: Fang Ming , Gu Lin-Lin , Wu Hong-Shan , Zhang Yong-Jie , Liu Tian-Yi , He Jing-Cheng , Liu Xiaolei , Chen Guo-Bo , Jiang Dan 
Published: December 2023

Abstract

Deep phenotyping can enhance the power of genetic analysis such as genome-wide association study (GWAS), but recurrence of missing phenotypes compromises the potentials of such resources. Although many phenotypic imputation methods have been developed, accurate imputation for millions of individuals still remains extremely challenging. In the present study, leveraging efficient machine learning (ML)-based algorithms, we developed a novel multi-phenotype imputation method based on mixed fast random forest (PIXANT), which is several orders of magnitude in runtime and computer memory usage than the state-of-the-art methods when applied to the UK Biobank (UKB) data and scalable to cohorts with millions of individuals. Our simulations with hundreds of individuals showed that PIXANT was superior to or comparable to the most advanced methods available in terms of accuracy. We also applied PIXANT to impute 425 phenotypes for the UKB data of 277,301 unrelated white British citizens and performed GWAS on imputed phenotypes, and identified a 15.6% more GWAS loci than before imputation (8,710 vs 7,355). Due to the increased statistical power of GWAS, a certain proportion of novel genes were rediscovered, such as RNF220, SCN10A and RGS6 that affect heart rate, demonstrating the use of imputed phenotype data in a large cohort to discover novel genes for complex traits.
Oncomelania lorelindoensis: the intermediate host of Sulawesi’s Schistosoma japonicum
Authors: Nelwan Martin 
Published: December 2023

Abstract
Purpose: In this study, I report a study of the genus Oncomelania focused on Schistosoma japonicum and Oncomelania lorelindoensis as the intermediate hosts of Sulawesi schistosomiasis japonica, their distributions in Sulawesi, and the control of O. lorelindoensis.
Principal results: Proto-Oncomelania originated in eastern Indonesia, Sulawesi. It spread to the Philippines, Japan and then gave rise to Oncomelania. It is the intermediate host of Schistosoma japonicum. The genus Oncomelania comprises five species: Oncomelania hupensis, O. lorelindoensis (formerly O. hupensis lindoensis), O. minima, O. robertsoni, and O. quadrasi. Oncomelania lorelindoensis is the intermediate host of Sulawesi S. japonicum. It occurs in and around Lore Lindu National Park: the Bada Valley, the Lindu Valley, and the Napu Valley, Central Sulawesi. This organism may have prevailed in the Kulawi Valley and the Palu Valley of Central Sulawesi Province. Control of O. lorelindoensis can use mechanic techniques, molluscicides, and genetic manipulation techniques.
Conclusions: Oncomelania lorelindoensisoccurs in Central Sulawesi, Indonesia: the Bada Valley, the Lindu Valley, and the Napu Valley. It may also have expanded to other areas around Lore Lindu National Park. This organism is the intermediate host of Sulawesi S. japonicum.
Glycolysis-mTORC1 crosstalk drives rapid proliferation in patient-derived endometrial cancer spheroids with ALDH activity
Authors: Ishiguro Tatsuya , Ueda Haruka , Mori Yutaro , Yamawaki Kaoru , Enomoto Takayuki , Yoshihara Kosuke , Okamoto Koji 
Published: December 2023

Abstract

Cancer stem cells are associated with aggressive phenotypes of malignant tumors. A prominent feature of uterine endometrial cancer is the activation of the PI3K-Akt-mTOR pathway. Herein, we present variations in sensitivities to a PI3K-Akt-mTORC1 inhibitor among in vitro endometrial cancer stem cell-enriched spheroid cells from clinical specimens. Intriguingly, the in vitro sensitivity mirrored effects observed in in vivo spheroid-derived xenograft tumor models. Our findings reveal a complementary suppressive effect on endometrial cancer spheroid cell growth when aldehyde dehydrogenase (ALDH) and PI3K-Akt inhibitors are combined. In the PI3K-Akt-mTORC1 signaling cascade, the influence of ALDH on mTORC1 is partially channeled through retinoic acid-induced lactate dehydrogenase A (LDHA) activation. LDHA inhibition was found to reduce endometrial cancer cell growth, paralleling the effects of mTORC1 inhibition. Building upon our prior findings highlighting ALDH-driven glycolysis through GLUT1 in uterine endometrial cancer spheroid cells, curbing mTORC1 bolstered glucose transport via GLUT1 activation. Notably, elevated LDHA expression correlated with adverse clinical survival and escalated tumor grade, especially in advanced stages. Collectively, our findings emphasize the pivotal role of ALDH-LDHA-mTORC1 cascade in the proliferation of endometrial cancer. Targeting the intricate interplay between mTORC1 and ALDH-influenced glycolysis could pave the way for novel strategies to combat this aggressive cancer.
WITHDRAWN: Study On Prevalence Of Bovine Mastitis, Associated Risk Factors, And Isolation Of Staphylococcus Species And Escherichia Coli From Mastitic Milk In Dairy Farms Of Wolaita Sodo Town And Its Suburbs, Southern Ethiopia
Authors: Tegegne Hailehizeb , Feleke Melkamu , Ejigu Eyoel , Mengistu Azeb 
Published: December 2023

Abstract
Mastitis is one of the most widespread and costly mammary gland diseases in dairy cattle, causing a great deal of loss of production and having a major economic impact on the dairy industry worldwide. This study was aimed at determining the prevalence of bovine mastitis, identifying associated risk factors, and isolating Staphylococcus species and E. coli from the mastitic milk of lactating cows on dairy farms. A cross-sectional study was conducted from November 2022 to April 2023 on selected dairy farms in Wolaita Sodo town and its suburbs, Southern Ethiopia. A total of 284 lactating cows were selected using a simple random sampling method and examined for the detection of bovine mastitis. Descriptive statistics were used to summarize the prevalence of bovine mastitis, while the Chi-square test and logistic regression were used to determine the association between the prevalence of bovine mastitis and risk factors. Out of the total animals examined, 30.6% (87/284) had mastitis, while 3.5% (10/284) and 27.1% (77/284) had clinical and subclinical mastitis, respectively. The quarter-level prevalence was 14.4% (164/1136), from which the clinical and subclinical forms were 2.1% (24/1136) and 12.3% (140/1136), respectively, whereas 3.5% (40/1136) of the quarters were blind. There was a significant correlation between the occurrence of mastitis in lactating cows (p < 0.05) and risk factors such as breed, lactation stage, milk yield, previous mastitis history, floor type, and usage of towels. The predominant bacteria isolated in this study were Staphylococcus aureus (35.9%), followed by E. coli (23.5%), coagulase-negative Staphylococcus species (18.7%), Staphylococcus intermedius (12.5%), and Staphylococcus hyicus (9.4%). The current study revealed that mastitis was a major health problem of dairy cows in the study areas. Therefore, enhancing the awareness of dairy farmers, improving hygienic conditions, regular screening of subclinical mastitis, dry cow therapy, culling of chronically infected cows, and further advanced studies on different pathogenic microorganisms and antimicrobial sensitivity testing of those microorganisms that cause mastitis are critically important to control and prevent bovine mastitis in the study area.
Feasibility, quality and added value of unsupervised
at-home spirometry in primary care
Authors: Kocks Janwillem , Rütte Thomas le , Kerkhof Marjan , Gerritsma Yoran , Driessen-Roelfszema Merijn , Bemt Lisette van den , Muris Jean , Riemersma Roland , Sandelowsky Hanna , Stridh Björn 
Published: December 2023

Abstract
At-home spirometry could provide added value for the diagnosis and monitoring of obstructive pulmonary disease in primary care. However, it is unknown whether implementation in a real-world setting is practicable and produces good quality spirometry. We studied feasibility, quality and added value of at-home spirometry in primary care practices in the Netherlands and Sweden. Adults with an asthma- or COPD-related spirometry indication were provided with equipment to perform unsupervised spirometry at- home. Differences in FEV1 and FVC-values from home and general practice were compared, and questionnaires on feasibility were completed by participants and healthcare professionals (HCPs).
Of 140 participants, 89.3% completed a home spirometry session, of whom 59.2% produced acceptable spirometry. Overall, HCPs and participants rated home spirometry as feasible and of added value for asthma and COPD monitoring in primary care, though less helpful for diagnostic purposes. A small mean difference in spirometry results was observed, with FEV1 and FVC at-home being 0.076 L and 0.094 L higher than at the GP office, respectively.