bluuebunny/crossref_metadata_2025 huggingface dataset:
Empowering the Nuclear Security-Related Officer
Authors: Rosita Widya , Wijatna Agus Budhie , Agung Alexander , Harto Andang Widi , Muharini Anung , Wijayanti Ester , Ferdiansjah  , Santosa Haryono Budi , Kusnanto  , Prabaningrum Nunung , Sihana  , Putero Susetyo Hario , Imardjoko Yudi Utomo , Pinasti Sita Gandes , Nurcahyo Arif
Published: October 2023

The incidents of radioactive material smuggling in 2020 proved that the nuclear security threat in Indonesia is real. It also shows that Indonesian police and security officers’ knowledge of nuclear security needs to improve continuously. In response, Universitas Gadjah Mada’s Nuclear Engineering Program composed a three-day training program to empower the role of local police, National Search and Rescue Agency (BASARNAS), and National Counter Terrorism Agency (BNPT), whose duty are to handle nuclear-related security. The objective of the training was to refresh their capabilities in dealing with nuclear security issues after the absence of training since the Covid-19 pandemic in 2020-2021. The subjects were divided into ten sessions and were delivered through coursework and discussion, tabletop exercises, and laboratory exercises. The pre-tests and post-tests were conducted to assess the trainee’s improvement of knowledge and the benefits they experienced. The pre-test and post-test results showed that after attending the training, all participants understanding increased sharply as the delivery method was interesting and the materials were useful for participants. Finally, practice or playing games became the most preferred delivery method. Therefore, we can conclude that this training became an effective way to empower nuclear security-related officers.
Ischemic Electrocardiogram Patterns among Population of Universitas Gadjah Mada Health and Demographic Surveillance System Sleman: The Community-Based Learning and Community Service by Cardiology and Vascular Medicine Residency Program at Universitas Gadjah Mada
Authors: Hartopo Anggoro B. , Putri Effika N. , Inggriani Maria P. , Fachiroh Jajah , Dewi Fatwa S.T.
Published: October 2023

Screening for coronary heart disease in the community can be performed by a simple method, namely an electrocardiography (ECG) examination. However, the ECG-based screening program has not been routinely performed in the Indonesian population, probably due to a scarcity of human resources e to interpret the ECG results. The ECG pattern recognition needs prolonged training, completed during Cardiology and Vascular Medicine Residency Program. Most Cardiology and Vascular Medicine Residency Program activities are performed in teaching hospitals. The involvement of cardiology and vascular medicine residents' involvement in interpreting ischemic ECG pattern during populational survey is necessary to fulfill their national standard competence and perform community service during the residency education program. Therefore, besides clinical services in teaching hospitals, community services in the population must be implemented during the residency program. The Universitas Gadjah Mada Health and Demographic Surveillance System (HDSS) Sleman is a longitudinal and community-based surveillance by the Faculty of Medicine, Public Health and Nursing Universitas Gadjah Mada in Sleman Regency, Yogyakarta since 2014 to obtain data regarding community health status, including cardiovascular diseases. The study aimed to investigate the ischemic ECG abnormal pattern and the feasibility of integrating community-based learning and community service by UGM HDSS Sleman, Yogyakarta, Indonesia residents. The results showed that among 787 subjects of the HDSS Sleman population, the prevalence of ischemic ECG pattern was only minority (n=48, 6%) and mostly among females (10.2%). The ischemic ECG pattern was associated with cardiovascular risk factors: hypertension (12.3% vs. 5.5%, p=0.035) and obesity (10.1% vs. 5.2%, p=0.035). By interpreting ECG patterns, residents can directly implement education and consultation to promote the community's cardiovascular disease prevention programs. This study highlights the feasibility of integrating community-based learning and community service performed by cardiology and vascular medicine residents during the residency education program embedded in the residency program curriculum.
Quasi-characters in $\widehat{su(2)}$ current algebra at fractional levels
Authors: Grover Sachin
Published: October 2023

We study the even characters of \widehat{su(2)}su(2)^ conformal field theories (CFTs) at admissible fractional levels obtained from the difference of the highest weight characters in the unflavoured limit. We show that admissible even character vectors arise only in three special classes of admissible fractional levels which include the threshold levels, the positive half-odd integer levels, and the isolated level at -5/45/4. Among them, we show that the even characters of the half-odd integer levels map to the difference of characters of \widehat{su(2)}_{4N+4}su(2)^4N+4, with N\in\mathbb{Z}_{>0}N∈ℤ^0, although we prove that they do not correspond to rational CFTs. The isolated level characters maps to characters of two subsectors with \widehat{so(5)}_1so(5)^1 and \widehat{su(2)}_1su(2)^1 current algebras. Furthermore, for the \widehat{su(2)}_1su(2)^1 subsector of the isolated level, we introduce discrete flavour fugacities. The threshold levels saturate the admissibility bound and their even characters have previously been shown to be proportional to the unflavoured characters of integrable representations in \widehat{su(2)}_{4N}su(2)^4N CFTs, where N\in\mathbb{Z}_{>0}N∈ℤ>0 and we reaffirm this result. Except at the three classes of fractional levels, we find special inadmissible characters called quasi-characters which are nice vector valued modular functions but with qq-series coefficients violating positivity but not integrality.
Soft skills of business students in relation to higher education internships
Authors: Cseh Papp Imola , Molnar Csilla , Juhász Tímea
Published: October 2023

University internship is the transition between higher education and the labor market. The study was motivated by the fact that research on the effectiveness of internships is on the rise in many countries but is less widespread in Hungary, especially from the students’ perspective. The aim is to determine how students in business education choose a workplace for their internship, whether they consider their own employability or the management aspects of the workplace. The questionnaire was conducted in Budapest, Hungary, covering covering higher education institutions of economics (7 in total), with 406 participants. The focus is to build a model of the interaction between different variables: the development of students’ skills at the university, the specific internship placement, and the desirable work students would like to do during their internship. The results show no correlation between the type of skills students develop during their studies and the type of work they want to do during their internship. Moreover, the correlation between the soft skills they develop at work and those they acquire at university is only coincidental, therefore not supporting their employability. These results can be important for workplace management to effectively lead and inspire their teams, manage conflict, and communicate. The study offers implications for education policy, i.e., recommendations for changes to output requirements, which will also allow for developing training structures that are more responsive to employer needs.
Do Stereotypical vs. Counter-stereotypical Role Models Affect Teacher Candidates’ Stereotypes and Attitudes toward Teaching Computer Science?
Authors: Vasconcelos Lucas , Ari Fatih , Arslan-Ari Ismahan , Lamb Lily
Published: October 2023

Computer Science (CS) stereotypes promote the mindset that nerdy White males who have a high IQ and are technology enthusiasts are the ones to succeed in the field, leading to gender and racial disparities. This quasi-experimental study investigated if exposing teacher candidates to a stereotypical vs. counter-stereotypical CS role model affects their stereotypes and attitudes toward teaching CS. Participants exposed to a counter-stereotypical role model reported a statistically significant decrease in stereotypes about social skills, and slightly weaker stereotypes about appearance, cognitive skills, and work preferences. Participants exposed to a stereotypical role model reported no changes in stereotypes. Participants in both groups showed increasingly positive attitudes toward teaching CS. Implications for CS teacher education are discussed.
Developing synthetic sewer pipe system for data-scarce domains in application for urban flood modeling
Authors: Dasallas Lea , An Hyunuk , Lee Seungsoo
Published: October 2023

In urban flood modeling, the accuracy of surface and subsurface flow calculations greatly depends on the parameterization of the drainage system. Incorporating the influence of the sewer pipe system is, therefore, integral to accurately simulating urban inundation during short-duration rainfall events. However, obtaining comprehensive data on sewer systems in developing countries is currently challenging. To mitigate this situation, we propose a method for developing a synthetic sewer network to supplement the representation of the sewer system in urban flood models, particularly in data-scarce domains. The model implements the concept of shallow water equation for surface flow and a 1D slot model for pipe flows with an interaction equation between them. We compare case studies with and without discharge interaction between the surface and hypothetical sewer system for the 2020 flood event in an urban subcatchment within the Marikina Basin, Philippines. Results show that the synthetic sewer pipe integration can capture the urban flood propagation more appropriately. Information such as flood depth and pipe flow discharge can aid in identifying flood-prone areas where sewer system parameters may require modifications. The proposed method can be used as an alternative to performing high-resolution urban flood simulations with limited availability of sewer network data.
Experimental study on the performance of the dielectric barrier discharge technique in the treatment of simulated groundwater with high iron and manganese content
Authors: Jin Yixin , Li Xuezhi , Ma Lida , Tian Wenjie , Zhang Linlin , Liu Aonan
Published: October 2023

Groundwater with high concentrations of iron and manganese is harmful to the human body and modern industries. Conventional methods of treating iron and manganese have the disadvantage of high costs and complex control processes. A dielectric barrier discharge (DBD) water treatment system was built to remove iron and manganese from groundwater in this paper. Single-factor experiments were used to analyze the effect of discharge power, initial iron and manganese concentrations, gas flow rate, liquid flow rate, initial pH, flocculant and capture agent process parameters on iron and manganese removal rates. It was found that Fe2+ removal rates can reach 97.31% and Mn2+ removal rates can reach 81.42% when the initial concentrations of Fe2+ and Mn2+ are 6 and 3 mg/L, respectively. The use of 10 mg/L NaHCO3 or 5 mg/L Ca(OH)2 increased the removal rate of Fe2+ to 99% but had no effect on the removal rate of Mn2+. It was found that the optimum treatment time for Mn2+ was different for different process parameters, mainly in the range of 9–15 min, which needs to be noted in future production applications. This work shows that DBD can effectively remove iron and manganese ions from groundwater and analyzes the removal mechanism.
A new approach for sensitivity analysis of the StormWater Management Model applied in an airport
Authors: Peng Jing , Zhao Hucheng , Luo Zihang , Ouyang Jie , Yu Lei
Published: October 2023

Sensitivity analysis of urban flood model parameters is important for efficient and accurate flood simulation. In order to explore the problems of large sampling parameters and nonlinear correlation between input and output variables, this paper proposed a new correlation analysis approach. The type, strength, and the order of sensitive parameters to the four outputs are analyzed using the proposed approach. The results show that the R values of Manning-N are biggest, its distribution is linear in heat maps, and the Manning-N has a strong linear correlation with Average Depth, Hour of Maximum Flooding, and Time to Peak. For Average Depth, the second sensitive parameter is Conductivity. For Hour of Maximum Flooding, the second and third more sensitive parameters are Conductivity and N-perv; however, there are certain nonlinear correlations from heat maps. For Total Inflow, the R values of each parameter are between 0.021 and 0.534. Most sensitive parameters are none; however, the more sensitive parameters are Conductivity, N-perv, and initial deficit. For Time to Peak, the second and third more sensitive parameters are N-perv and N-Imperv; however, there are certain non-linear correlations from heat maps. The results can provide theoretical guidance for application and parameter calibration of SWMM in airport.
Una voz oculta: trazos, letras y poemas
Authors: Pacheco Galvis Elenith Tamaris
Published: October 2023

Una voz oculta: trazos, letras y poemas
A Novel Brevinin2 HYba5 Peptide against Polymicrobial Biofilm of
Staphylococcus aureus and Enterococcus faecalis
Authors: Radhakrishnan Megha Periyappilly , Suryaletha Karthika , Joseph Iype , George Sanil , Thomas Sabu
Published: October 2023

Background:

Brevinin2 HYba5 (Peptide 29) is a novel cationic peptide identified from
an endemic frog, Hydrophylax bahuvistara. Staphylococcus aureus and Enterococcus faecalis are
troublesome biofilm-forming pathogens associated with nosocomial and community-acquired
infections and contribute to the severity of infections associated with implanted devices and chronic
wounds. Co-existence of both pathogens in biofilm mode contributes to an increased antibiotic
resistance, treatment failure and hence persistent disease burden. Identifying a novel and stable, less
toxic compound targeting multispecies biofilm with a lower probability of acquiring resistance in
comparison to antibiotics is highly warranted.

Objective:

Evaluate the activity of Brevinin2 HYba5 against S. aureus and E. faecalis mixed
biofilm.

Methods:

The anti-biofilm activity of peptide 29 was tested by Crystal violet assay, Confocal laser
scanning Microscopy (CLSM) and MTT Assay. Cytotoxicity of the peptide was tested in RBC and
L929 fibroblast cell line. Biofilm inhibitory activity of the peptide was evaluated at different
temperatures, pH, serum and plasma concentrations. The antibiofilm potential of the peptide was
tested against polymicrobial biofilm by Fluorescent in situ hybridisation (FISH) and plate counting
on HiCromeTM UTI Agar media.

Results:

The peptide 29 could inhibit biofilm formation of S. aureus and E. faecalis individually as
well as in polymicrobial biofilm at 75 μM concentration. The peptide maintained its antibiofilm
potential at different temperatures, serum and plasma concentrations. Activity of the peptide was
high at acidic and neutral pH but found to get reduced towards alkaline pH. The peptide is nonhemolytic
and does not exhibit significant cytotoxicity against the L929 fibroblast cell line (92.80%
cell viability).

Conclusion:

The biofilm inhibition property makes peptide 29 a promising candidate for the
management of S. aureus and E. faecalis biofilm, especially in catheter-associated devices to
prevent the initial colonization and thus can ease the burden of pathogenic biofilm-associated
infections.
Efficacy and Safety of Different Antibiotic Therapies for Bone and Joint Infections:
A Network Meta-analysis of Randomized Controlled Trials
Authors: Shi Xiangwen , Wu Yipeng , Ni Haonan , Guo Minzheng , Cheng Qi , Xu Yongqing
Published: October 2023

Background::

Although an increasing number of antibiotics are being used to treat bone and joint
infections, their specific efficacy remains controversial. Thus, we aimed to systematically compare the efficacy
and safety of antibiotic therapies for orthopedic infections.

Methods::

PubMed, Embase, The Cochrane Library, and Web of Science databases were searched from inception
to April 2022. Two authors independently and rigorously conducted the screening, data extraction, and
quality assessment of the relevant studies. All the extracted data were evaluated using traditional metaanalysis
and network meta-analysis by STATA SE 16.0.

Results::

A total of eleven randomized controlled trials (RCTs) involving 1,063 patients were included for data
analysis. The analysis results from the NMA indicated that in terms of the clinical effectiveness rate, linezolid
(OR: 1.75, 95% CI: 1.01 to 3.02) showed significant efficacy compared to ampicillin/sulbactam. With regard
to the microbiological eradication rate, linezolid showed significant efficacy compared to cephalosporins (OR:
8.13, 95% CI: 1.16 to 57.09) and quinolones (OR: 3.51, 95% CI: 1.18 to 10.49). Similar findings were obtained
for subgroup populations with diabetic foot infections (DFI). However, linezolid was significantly related
to higher adverse events than ampicillin/sulbactam (OR: 3.25, 95% CI: 1.68 to 6.30) and cephalosporins
(OR: 18.29, 95% CI: 1.59 to 209.76).

Conclusion::

Linezolid appeared to be the most promising treatment regimen for staphylococcal bone and
joint infections. However, due to the overall limited evidence, the research results need further high-quality
RCTs for confirmation.
Gut Microbiota Exchange in Domestic Animals and Rural-urban People Axis
Authors: Nezhadi Javad , Ahangarzadeh Rezaee Mohammad , Asghari Ozma Mahdi , Ganbarov Khudaverdi , Samadi Kafil Hossein
Published: October 2023

In recent years, one of the most critical topics in microbiology that can be addressed is
microbiome and microbiota. The term microbiome contains both the microbiota and structural
elements, metabolites/signal molecules, and the surrounding environmental conditions, and the
microbiota consists of all living members forming the microbiome. Among; the intestinal microbiota
is one of the most important microbiota, also called the gut microbiota. After colonization,
the gut microbiota can have different functions, including resistance to pathogens, maintaining
the intestinal epithelium, metabolizing dietary and pharmaceutical compounds, and controlling
immune function. Recently, studies have shown that the gut microbiota can prevent the formation
of fat in the body. In this study, we examined the gut microbiota in various animals, including
dogs, cats, dairy cows, sheep, chickens, horses, and people who live in urban and rural
areas. Based on the review of various studies, it has been determined that the population of microbiota
in animals and humans is different, and various factors such as the environment, nutrition,
and contact with animals can affect the microbiota of people living in urban and rural areas.
DLC-ac4C: A Prediction Model for N4-acetylcytidine Sites in Human
mRNA Based on DenseNet and Bidirectional LSTM Methods
Authors: Jia Jianhua , Cao Xiaojing , Wei Zhangying
Published: October 2023

Introduction:

N4 acetylcytidine (ac4C) is a highly conserved nucleoside modification
that is essential for the regulation of immune functions in organisms. Currently, the identification
of ac4C is primarily achieved using biological methods, which can be time-consuming and laborintensive.
In contrast, accurate identification of ac4C by computational methods has become a more
effective method for classification and prediction.

Aim:

To the best of our knowledge, although there are several computational methods for ac4C locus
prediction, the performance of the models they constructed is poor, and the network structure
they used is relatively simple and suffers from the disadvantage of network degradation. This study
aims to improve these limitations by proposing a predictive model based on integrated deep learning
to better help identify ac4C sites.

Methods:

In this study, we propose a new integrated deep learning prediction framework, DLCac4C.
First, we encode RNA sequences based on three feature encoding schemes, namely C2 encoding,
nucleotide chemical property (NCP) encoding, and nucleotide density (ND) encoding. Second,
one-dimensional convolutional layers and densely connected convolutional networks
(DenseNet) are used to learn local features, and bi-directional long short-term memory networks
(Bi-LSTM) are used to learn global features. Third, a channel attention mechanism is introduced to
determine the importance of sequence characteristics. Finally, a homomorphic integration strategy
is used to limit the generalization error of the model, which further improves the performance of the
model.

Results:

The DLC-ac4C model performed well in terms of sensitivity (Sn), specificity (Sp), accuracy
(Acc), Mathews correlation coefficient (MCC), and area under the curve (AUC) for the independent
test data with 86.23%, 79.71%, 82.97%, 66.08%, and 90.42%, respectively, which was significantly
better than the prediction accuracy of the existing methods.

Conclusion:

Our model not only combines DenseNet and Bi-LSTM, but also uses the channel attention
mechanism to better capture hidden information features from a sequence perspective, and
can identify ac4C sites more effectively.
The Surging Mechanistic Role of Angiotensin Converting Enzyme 2 in
Human Pathologies: A Potential Approach for Herbal Therapeutics
Authors: Gupta Priyadarshini , Rani Vibha
Published: October 2023

Advancements in biological sciences revealed the significant role of angiotensin-converting
enzyme 2 (ACE2), a key cell surface receptor in various human pathologies. ACE2 is a
metalloproteinase that not only functions in the regulation of Angiotensin II but also possesses
some non-catalytic roles in the human body. There is considerable uncertainty regarding its protein
expression, despite its presence in virtually all organs. The level of ACE2 expression and its
subcellular localisation in humans may be a key determinant of susceptibility to various infections,
symptoms, and outcomes of numerous diseases. Therefore, we summarize the distribution
and expression pattern of ACE2 in different cell types related to all major human tissues and organs.
Moreover, this review constitutes accumulated evidences of the important resources for further
studies on ACE2 Inhibitory capacity via different natural compounds in order to understand
its mechanism as the potential drug target in disease pathophysiology and to aid in the development
of an effective therapeutic approach towards the various diseases.
Finding Integrative Medication for Neuroblastoma and Glioblastoma
through Zebrafish as A Model of Organism
Authors: Barati Mohammad , Modarresi Chahardehi Amir , Hosseini Yasaman
Published: October 2023

As far as malignant tumors of the central nervous system are concerned, glioblastoma
(GB) and neuroblastoma (NB) are the most prevalent, aggressive, and fatal forms in adult and pediatric
populations, respectively. NB is the most prominent childhood extracranial compact neoplasm
in pediatrics when the embryo develops from undifferentiated neural crest cells. Regarding
malignant primary brain tumors, GB is the most lethal and difficult to treat. Currently, there are
few effective treatments available for either condition. Research using zebrafish is relatively new
in the field of animal cancer studies, and the first results show promise. In particular, integrated genomic
investigations of NB and GB have revealed the potential of the zebrafish model in elucidating
the roles of specific genetic changes in the development of this fatal childhood malignancy.
Hence, this study examines the possibility of zebrafish as a model organism for discovering integrative
medicines for these types of cancer. This model is an excellent animal model for study due
to its transparency, ease of genetic modification, ethics and financial benefits, and preservation of
the primary brain areas andbloodbrain barrier (BBB). This review provides recent developments
in the zebrafish model of NB and GB to illustrate the benefits of using them in cancer studies as a
model of the organism. This approach provides novel insights into delivering individualized treatment
and enhancing outcomes for people coping with central nervous system malignancies.
Effects of Tirofiban in Patients with Acute Myocardial Infarction and
Diabetes Mellitus undergoing Primary Percutaneous Coronary Intervention
Authors: Tang Xiuying , Li Runjun
Published: October 2023

Objective:

This study evaluated the efficacy and safety of early vs. late tirofiban administration
in the treatment of patients with acute ST-elevation myocardial infarction (STEMI) and diabetes
mellitus (DM) undergoing primary percutaneous coronary intervention (pPCI).

Methods:

120 patients with STEMI and DM treated with pPCI were randomly divided into an observation
group (n=60) and a control group (n=60). The observation group and the control group were
intravenously injected with a bolus of tirofiban preoperatively or intraoperatively, respectively; both
groups were then given an intravenous infusion over 24 h at 0.15 μg/kg/min. Thrombolysis in myocardial
infarction (TIMI) grade flow, myocardial perfusion index, and functional heart parameters, as
well as major adverse cardiovascular events and bleeding, were compared between the two groups.

Results:

Functional heart parameters, including left ventricular ejection fraction and cardiac output,
were significantly improved in the observation group 6 months after discharge. Thrombus aspiration,
inflammatory factors, and cardiac troponin I (cTNI) were more significantly decreased in the observation
group than in the control group. The sum-ST-segment elevation at 2 h after pPCI treatment in
the observation group was better than that in the control group. There was no significant difference in
the incidence of adverse reactions and bleeding between the two groups.

Conclusion:

The administration of tirofiban before reperfusion therapy compared with after reperfusion
therapy is more effective in reducing the hyperthrombotic load, thrombus aspiration, inflammatory
factors, and cTNI and can effectively improve myocardial perfusion and heart function.
Relationship between Triglyceride-Glucose Index and Disease Activity and
Subclinical Atherosclerosis in Rheumatoid Arthritis
Authors: Elazab Seham Abdallah , Elsayed Wagenat Effat , Alrahim Nosaiba Mohammed , Elsaid Marwa Abdallah , Akab Samah Mohamed , Mohammed Enayet Alshimaa Ahmed Ezzat , Mohamed Maha Salah Eldin , Elazab Sherien Abdallah , Sonbol Marwa Mostafa , Fath Allah Radwa Mohamed
Published: October 2023

Background:

In rheumatoid arthritis (RA), insulin resistance (IR) is related to inflammatory
markers, disease activity, and progression of atherosclerotic changes. Triglyceride-glucose
(TyG) index is a relatively new indicator of IR.

Aims:

The present study aimed to investigate the relationship between TyG index, disease activity
and subclinical atherosclerosis (SCA) in RA patients.

Objective:

The present study aimed to investigate the relation between TyG index, disease activity and subclinical atherosclerosis (SCA) in RA patients.

Methods:

The present case-control study included 100 RA patients and 50 age- and sex-matched
healthy controls. All participants were subjected to careful history taking through clinical examination
and standard laboratory assessment. The TyG index was calculated as TyG index = ln (Fasting
triglyceride (mg/dL) × fasting glucose (mg/dL))/2. Carotid intima-media thickness (CIMT)
measurement was done using B-mode ultrasound.

Results:

Patients had significantly higher TyG index as compared to controls. Patients with high
disease activity had significantly higher frequency of extraarticular manifestations (39.6% versus
51.6%, p = 0.028), higher Larsen score (3.8 ± 1.3 versus 2.8 ± 1.2, p < 0.001), higher anti-cyclic
citrullinated peptide (anti-CCP) levels (median (IQR): 243.1 (205.0-408.0) U/ml versus 99.0
(78.0-332.5), p < 0.001), higher TyG index (4.8 ± 0.22 versus 4.67 ± 0.24, p = 0.006), and higher
CIMT (0.87 ± 0.22 versus 0.77 ± 0.17 mm, p = 0.018). Patients with SCA had higher BMI (34.6 ±
6.2 versus 30.5 ± 5.3 Kg/m2, p < 0.001), higher Larsen score (3.7 ± 1.4 versus 3.1 ± 1.3, p =
0.028) and higher TyG index (4.89 ± 0.23 versus 4.64 ± 0.19, p < 0.001). Binary logistic regression
analysis identified patients’ age (OR (95% CI): 0.94 (0.89-0.99), p = 0.018), Larsen score
(OR (95% CI): 1.93 (1.32-2.82), p = <0.001), anti-CCP (OR (95%): 1.04 (1.02-1.07), p = 0.032),
and TyG index (OR (95% CI): 22.67 (2.14-240.4), p = 0.01) as significant predictors of high disease
activity in multivariate analysis.

Conclusion:

IR estimated by the TyG index is related to disease activity and SCA in RA patients.
Characteristics and Biological Properties of Imeglimin Hydrochlo ride,
A Novel Antidiabetic Agent: A Systematic Review
Authors: Sultan Jasira , Agarwal Nikhil , Sharma Sanjay
Published: October 2023

Background:

WHO indicates that diabetes will become the 7th leading reason for
death by 2030. The physiopathology of dysfunctioning is associated with obesity, weight gain
and predominantly insulin resistance in insulin-sensitive cells and continuous deterioration of
pancreatic beta cell function. Imeglimin is an investigational novel oral anti-diabetic drug.

Objectives:

The motive of the review is to comprehensively explore the chemistry, biological
and analytical analysis of the Imeglimin hydrochloride

Methods:

To enhance the understanding, a systematic review was conducted by forming a database of relevant existing studies from electronic resources like Web of Science, ScienceDirect
and PubMed. The methodology is reflected in the PRISMA design.

Result:

The drug was approved in the year 2021 for therapeutic purposes in Japan. It is the novel
and first approved drug for this type of Anti-diabetic treatment. It is a small molecular drug
whose molecular weight is 191.6 grams per mole utilized for oral administration. Imeglimin is
thought to have both activities, as the amount of glucose is dependent on insulin secretory impact and insulin sensitivity is increased.

Conclusion:

Therapeutic, pharmacological, and analytical considerations for the novel drug
Imeglimin hydrochloride are discussed in this review.
Multimodal Medical Image Fusion Utilizing Two-scale Image Decomposition via
Saliency Detection
Authors: Kaur Harmanpreet , Vig Renu , Kumar Naresh , Sharma Apoorav , Dogra Ayush , Goyal Bhawna
Published: October 2023

Background:

Modern medical imaging modalities used by clinicians have many applications in the diagnosis of complicated diseases. These imaging technologies reveal the internal anatomy and physiology of the body. The fundamental idea behind medical image fusion intend to increase the image's global and local contrast, enhance the visual impact, and change its format so that it is better suited for computer processing or human viewing while preventing noise magnification and accomplishing excellent real-time performance.Modern medical imaging modalities used by clinicians have many applications in the diagnosis of complicated diseases. These imaging
technologies reveal the internal anatomy and physiology of the body. The fundamental idea behind medical image fusion is to increase the image's
global and local contrast, enhance the visual impact, and change its format so that it is better suited for computer processing or human viewing
while preventing noise magnification and accomplishing excellent real-time performance.

Objective:

The top goal is to combine data from various modal images (CT/MRI and MR-T1/MR-T2) into a solitary image that, to the greatest degree
possible, retains the key characteristics (prominent features) of the source images.

Methods:

The clinical accuracy of medical issues is compromised because innumerable classical fusion methods struggle to conserve all the prominent
features of the original images. Furthermore, complex implementation, high computation time, and more memory requirements are key problems
of transform domain methods. With the purpose of solving these problems, this research suggests a fusion framework for multimodal medical
images that makes use of a multi-scale edge-preserving filter and visual saliency detection. The source images are decomposed using a two-scale
edge-preserving filter into base and detail layers. Base layers are combined using the addition fusion rule, while detail layers are fused using weight
maps constructed using the maximum symmetric surround saliency detection algorithm.

Results:

The resultant image constructed by the presumed method has improved objective evaluation metrics than other classical methods, as well as
unhindered edge contour, more global contrast, and no ringing effect or artifacts.

Conclusion:

The methodology offers a dominant and symbiotic arsenal of clinical symptomatic, therapeutic, and biomedical research competencies that have
the prospective to considerably strengthen medical practice and biological understanding.
Evaluation of Antioxidant and Anticancer Activities of Memecylon
umbellatum in Breast Carcinoma and Lupeol and Beta-sitosterol Quantified
by HPTLC
Authors: Chaudhary Shilpee , Subraya Chandrashekar Kodangala , Karkala Sreedhara Ranganath , Pai Vasudev , Nanjundaiah Aswatha Ram Holavanna Halli , Pai Aravinda
Published: October 2023

Introduction:

Memecylon umbellatum is a perennial plant of the Melastomataceae family
that grows in abundance in the Western Ghats and has been used traditionally to treat cancer and
inflammatory conditions.

Methods:

From the literature survey, it was found that no substantial work has been carried out to
identify the bioactive compounds by HPTLC method and to screen the antioxidant and anticancer
activity of M. umbellatum. Hence, an effort has been made to carry out the phytochemical investigation
by HPTLC method and to screen the antioxidant activity by ABTS assay, DPPH assay, Nitric
oxide antioxidant assay, Iron chelating activity and Total antioxidant activity.

Results:

Total phenolics and flavonoids were carried out by using suitable methods. MCF-7 as well
as MDA-MB-231 cells were used to test anticancer activities in vitro. Cell cycle analysis demonstrated
that ethyl acetate extract caused G0/G1 phase arrest in MCF-7 cells. HPTLC analysis led to
the identification of Lupeol from ethyl acetate extract.

Conclusion:

The anticancer activity of ethyl acetate extract of M. umbellatum was significant. The
antioxidant and anticancer activity may attributed to Lupeol, Phenolic compounds and Flavonoids.
Neonatal Glycogen Storage Disease Type IA: A Rare Presentation
Authors: Tenente Joana , Campos Teresa , Vasconcelos Carla , Santos Helena , Carvalho Marisa , Ramos Altina , Vilarinho Laura , Rodrigues Esmeralda , Teles Elisa Leão
Published: October 2023

Glucose homeostasis is essential for energy production and the central nervous system
function, depending on glycogen metabolism. Glycogen storage diseases (GSD) are caused
by enzymatic defects of the glycogen degradation and mainly involve the liver since the inhibition
of hepatic glycogen breakdown results in its excessive storage and hepatomegaly. Other
findings are hypoglycemia and hyperlactatemia and consequent neurological symptoms. GSD
Type Ia is a severe disease with clinical manifestations usually occurring in the first months.
Morbidity and mortality are high, when not treated. The patient was a male newborn, with nonconsanguineous
couple, born by eutocic delivery and weight 3760 g. On Day 2, weight loss
>10% and jaundice were noticed, and physical examination was as normal. The investigation
showed low glucose that only respond to iv glucose, metabolic acidosis, hyperlactatemia and
elevated liver enzymes. Considering his inherited metabolic disease, he was transferred to the
Reference Center. Complementary tests showed hypertriglyceridemia and absence of ketone
bodies. Abdominal US revealed a liver in the upper limit of normal. Most likely clinical diagnosis
was GSD type Ia, confirmed by genetic test. He needed iv glucose, but then stabilized with
formula without galactose, supplemented with dextrin every 2 hours. He is now 7 months old,
has flash glucose self-monitoring system, maintaining frequent feedings, with sporadic hypoglycemia
with normal physical development and no hepatomegaly. Hypoglycemia and early
weight loss in newborns are red flags for metabolic diseases or other conditions. When accompanied
by other metabolic findings, such as hyperlactatemia and metabolic acidosis, associated
with short fasting periods, glycogen metabolism disorders must be considered. Patients with
GSD Type Ia generally appear normal at birth and an early presentation is not frequent within
the first hours after birth. Moreover, avoiding fasting and hypoglycemia are of vital importance
for better cognitive outcome, global prognosis, and prevention of other metabolic abnormalities.
An IoT-based Intelligent Irrigation and Weather Forecasting System
Authors: Srikar Sirivella Sai , Yellamma Pachipala
Published: October 2023

Introduction::

The most crucial ingredient in agriculture is water. The amount of water
that plants require must be provided to them. However, growers alternate between giving their
plants more water than they truly need and giving them less and partly because they become overwatered
due to meteorological circumstances like unexpected rainfall.

Methods::

We employ an IoT-based intelligent irrigation system to get around this problem. It includes
a centrifugal pump, a motor driver board, and a soil moisture sensor with YL69 probes.
When the soil moisture level drops, the pump automatically delivers water to the plants with minimal
human involvement. The electrical conductivity theory is how the sensor for soil moisture
functions. A DHT11 sensor and a barometer, which provide information on the local temperature,
humidity, and atmospheric pressure, are both parts of the weather monitoring system with the help
of this, farmers can forecast the local weather and plan their irrigation accordingly.

Results::

In this patent study, the thing speak API enables us to continually monitor information
from a computer or mobile device, and the ESP8266 module links the complete system to the internet.
Through this approach, water waste is reduced, and irrigation efficiency is increased while
crop health and quality are preserved.

Conclusion::

Overall, this research demonstrated how the Internet of Things-based intelligent irrigation
systems may enhance agricultural water management. By combining soil moisture monitoring,
weather monitoring, and autonomous management, we may develop irrigation techniques
that are more precise, effective and patent leading to higher crop yields and sustainable agricultural
practices.
Contrasting YOLOv7, SSD, and DETR on Insulator Identification under
Small-sample Learning
Authors: Yang Yanli , Wang Xinlin , Pan Weisheng
Published: October 2023

Background::

Daily inspections of insulators are necessary because they are indispensable
components for power transmission lines. Using deep learning to monitor insulators is a
newly developed method. However, most deep learning-based detection methods rely on a large
training sample set, which consumes computing resources and increases the workload of sample
labeling. The selection of learning models to monitor insulators becomes problematic.

Objective::

Through comparative analysis, a model suitable for small-sample insulator learning is
found to provide a reference for the research and application of insulator detection.

Methods::

This paper compares some of the latest deep learning models, YOLOv7, SSD, and
DETR, for insulator detection based on small-sample learning. The small sample here means that
the number of samples and their proportion to the total sample are relatively small. Two public
insulator image sets, InsulatorDataSet with 600 insulator images and Transmission-line-pictures
(TLP) with 1230 insulator images in the natural background are selected to test the performance of
these models.

Results::

Tests on two public insulator image sets, InsulatorDataSet and TLP, show that the recognition
rates of YOLOv7, DETR, and SSD are arranged from high to low. The DETR and the
YOLOv7 have stable performance, while the SSD lacks stable performance in terms of the learning
time and recognition rate.

Conclusion::

The in-domain and cross-domain scenario tests show that YOLOv7 is more suitable
for insulator detection under small-sample conditions among the three models.
A New Computer-Aided Method for Assessing Children's Cognition in Bioengineering Systems for Diagnosing Developmental Delay
Authors: Val Danilov Igor , Svajyan Araksia , Mihailova Sandra
Published: October 2023

This pilot study (n = 19) examines fidelity rates of the new computer-aided method of diagnosing cognitive development delay in 3-to-6-year-old children. The small-scale research repeats the methodological components of the previous two studies, only changing the data collection process by introducing the baseline value (BV). Experimental data show a significant increase of 9.4 times in the shared intentionality magnitude in neurodivergent children. The results support the hypothesis that the bioengineering system (computer-mother-child) can encourage shared intentionality in the dyad by emulating the mother-newborn communication model. The outcome shows the association between the shared intentionality magnitude and children's diagnosis. However, the bioengineering diagnostic paradigm and the new BV method still need more evidence since the pilot study observes the effect in a small sample size. The pilot study evaluates the fidelity rates of this new BV method through nine markers. It shows the feasibility (with the limitations) of testing this new BV method in further research with a large sample size.
The Role of AI in Serious Games and Gamification for Health: Scoping Review
Authors: Tolks Daniel , Schmidt Johannes Jeremy , Kuhn Sebastian
Published: October 2023

Background

Artificial intelligence (AI) and game-based methods such as serious games or gamification are both emerging technologies and methodologies in health care. The merging of the two could provide greater advantages, particularly in the field of therapeutic interventions in medicine.

Objective

This scoping review sought to generate an overview of the currently existing literature on the connection of AI and game-based approaches in health care. The primary objectives were to cluster studies by disease and health topic addressed, level of care, and AI or games technology.

Methods

For this scoping review, the databases PubMed, Scopus, IEEE Xplore, Cochrane Library, and PubPsych were comprehensively searched on February 2, 2022. Two independent authors conducted the screening process using Rayyan software (Rayyan Systems Inc). Only original studies published in English since 1992 were eligible for inclusion. The studies had to involve aspects of therapy or education in medicine and the use of AI in combination with game-based approaches. Each publication was coded for basic characteristics, including the population, intervention, comparison, and outcomes (PICO) criteria; the level of evidence; the disease and health issue; the level of care; the game variant; the AI technology; and the function type. Inductive coding was used to identify the patterns, themes, and categories in the data. Individual codings were analyzed and summarized narratively.

Results

A total of 16 papers met all inclusion criteria. Most of the studies (10/16, 63%) were conducted in disease rehabilitation, tackling motion impairment (eg, after stroke or trauma). Another cluster of studies (3/16, 19%) was found in the detection and rehabilitation of cognitive impairment. Machine learning was the main AI technology applied and serious games the main game-based approach used. However, direct interaction between the technologies occurred only in 3 (19%) of the 16 studies. The included studies all show very limited quality evidence. From the patients’ and healthy individuals’ perspective, generally high usability, motivation, and satisfaction were found.

Conclusions

The review shows limited quality of evidence for the combination of AI and games in health care. Most of the included studies were nonrandomized pilot studies with few participants (14/16, 88%). This leads to a high risk for a range of biases and limits overall conclusions. However, the first results present a broad scope of possible applications, especially in motion and cognitive impairment, as well as positive perceptions by patients. In future, the development of adaptive game designs with direct interaction between AI and games seems promising and should be a topic for future reviews.
The Impact of UK Medical Students’ Demographics and Socioeconomic Factors on Their Self-Reported Familiarity With the Postgraduate Training Pathways and Application Process: Cross-Sectional Study
Authors: Davoudi Kaveh , Rakhecha Tushar , Corriero Anna Chiara , Ko Kar Chang Natalie , Ismail Roseanne , King Esther R B , Hollén Linda
Published: October 2023

Background

UK medical graduates can apply for specialty training after completing a 2-year internship (foundation training). Postfoundation training application requirements vary depending on specialty but fundamentally require key skills such as teaching, research, and leadership.

Objective

This study investigated whether medical student demographics impact their self-reported familiarity with the Post-Foundation Training Pathways (PFTPs) and Post-Foundation Application Process (PFAP).

Methods

This was a cross-sectional study using a Bristol Online Survey. We invited all UK medical students to answer a range of questions about their demographics. Students were then asked to rank their familiarity with PFTPs and PFAP on a scale of 1 to 5 (1=least familiar and 5=most familiar). The responses were collected between March 2022 and April 2022 and exported for further analysis. Statistical analysis was conducted in Stata (version 17.1; StataCorp) using chi-square tests.

Results

A total of 850 students from 31 UK medical schools took part. There was a significant difference between gender and self-reported familiarity with PFTPs (P<.001) and PFAP (P<.001), with male students expressing higher familiarity. Similarly, there was a difference between ethnicity and self-reported familiarity with PFTPs (P=.02) and PFAP (P<.001), with White students more likely to express higher familiarity than their Black, Asian, or Mixed Ethnic counterparts. Lastly, there was an overall difference between medical background and age and self-reported familiarity with PFTPs and PFAP (all P<.001), with students from medical backgrounds and older students being more likely to express higher familiarity.

Conclusions

The impact of gender, ethnicity, age, and medical background on students’ self-reported familiarity with PFTPs and PFAP is significant. Further studies are required to evaluate the impact of these factors on tested knowledge of PFTPs and PFAP and whether this impacts the success rate of postfoundation applications.