bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Application of Kho-Kho Optimization Algorithm to Estimation Parameter of Permanent Magnet Synchronous Machine
Authors: Srivast Abhishek 
Published: May 2023

Abstract
Permanent magnet synchronous motors (PMSM) are among the popular motors used in industrial applications. Designing an appropriate control scheme to obtain the desired output for these motors depends on the motor parameters. In this aspect, this paper presents the application of a well-known meta-heuristics optimization scheme, i.e, Kho-Kho optimization (KKO) to estimate the parameters of PMSM. KKO introduced in [1] is a population-based meta-heuristic optimization scheme that replicated the chasing strategy of a defending team in a Kho-Kho game. To show the supremacy of the KKO scheme in determining the unknown parameters of the PMSM, a PMSM with known coefficients is considered and the parameter of the model is estimated using KKO.
On Ramanujan's Continued Fractions of Order Twenty-four
Authors: Rajkhowa Shraddha , Saikia Nipen 
Published: May 2023

Abstract

Two continued fractions U(q) and V(q) of order twenty-four are obtained from a general continued fraction identity of Ramanujan. Some theta-function and modular identities for U(q) and V(q) are established to prove general theorems for the explicit evaluations of U(±q) and V(±q). From the theta-function identities of U(q) and V(q), three colour partition identities are derived as application to partition theory of integer. Further, 2-, 4- and 8-dissection formulas are established for the continued fractions U*(q):=q-5/2 U(q) and V*(q)=q-1/2V(q), and their reciprocals.
2020 Mathematical Subject Classification: 33B70; 11F27; 11A55; 11P84.
SHRSE:Multimodal Short Video Hashtag Recommendation based on Sentiment Enhancement
Authors: Gupta Anish , Blake Romy , Riley Camden , Kapoor Priya 
Published: May 2023

Abstract
With the advent of social media platforms the trend of uploading text, pictures, and videos to express personal feelings has resulted in an explosion in the number of short videos on the internet. However, the accumulation of these short videos has resulted in a serious information overload problem, making it challenging for users to find their desired content. Hashtags are an effective solution to alleviate this problem, but users often do not have the habit of adding appropriate hashtags to their tweets. Hence, recommending suitable hashtags has become an important research area in recent years. The multimodality of short videos makes the hashtag recommendation process more challenging than text or image-only recommendation. In this paper, we explore the use of image, audio, and text modalities to achieve a more comprehensive understanding of short videos and design corresponding solutions to improve the accuracy of hashtag recommendation. We provide a comprehensive review of recent research on short video hashtag recommendation and identify the challenges and opportunities for future research.
Evaluation of global climate models for the simulation of precipitation and maximum and minimum temperatures at coarser and finer resolutions based on temporal and spatial assessment metrics in mainland of China
Authors: Lei Yawen , Peng Peiyi , Jiang Wencui 
Published: May 2023

Abstract

Many studies have evaluated the performance of multiple global climate models (GCMs) from a temporal or spatial perspective at finer resolution, but no study has evaluated the performance of individual GCMs at different resolutions and before and after bias correction from both temporal and spatial perspectives. The goal of this study is to evaluate the performance of 21 Coupled Model Inter-comparison Project 6 (CMIP6) GCMs at the raw (coarser) and downscaled (finer) resolutions and after bias correction in relation to their skills in the simulation of daily precipitation and maximum and minimum temperatures over China for the period 1961–2014 using state-of-the-art temporal and spatial metrics, Kolmogorov–Smirnov statistic and SPAtial EFficiency. The results indicated some differences in the ranks of GCMs between temporal and spatial metrics at different resolutions. The overall ranking shows that the simulations at the raw resolution of GCMs are more similar to the observations than the simulations after inverse distance weighted interpolation in SPAtial EFficiency. Three variables from bias-corrected GCMs ranked from 1 to 21 show similar good performance in spatial patterns but the poorest trend in empirical Cumulative Distribution Functions (ECDFs) except daily precipitation.
A Review on the Efficacy and Safety of Intrathecal Administration of
Novel Medications for Leptomeningeal Metastases in Solid Cancers
Authors: Jafari Fatemeh , Nodeh Mohammad Moeini , Hosseinjani Hesamoddin , Baharara Hamed , Azad Sajad , Arasteh Omid , Johnston Thomas P. , Sahebkar Amirhossein 
Published: May 2023

Abstract:
Leptomeningeal disease (LMD) is a rare and lethal manifestation that may occur
in the advanced stages of solid tumors and hematological malignancies. With advances
in diagnostic techniques, the detection and confirmation of the presence of LMD
have increased. Although its optimal treatment remains a challenge, the use of the intrathecal
route for the delivery of novel therapeutics is now considered a promising drug
delivery strategy to complement radiation and systemic-based therapies. Although
methotrexate, cytarabine, and thiotepa have a long history in the treatment of LMD, other
medications have also been shown to be beneficial. In this article, we have reviewed the
effects of novel medications administered via the intrathecal route for the treatment of
solid tumors. We have searched PubMed, Scopus, and Google Scholar databases till the
end of September 2021 using the following keywords: “leptomeningeal disease”, “leptomeningeal
carcinomatosis”, “leptomeningeal metastases”, “solid tumors”, “solid cancers”,
and “intrathecal”. Our literature findings have uncovered that most studies on
LMD, which occurs secondary to solid cancers, are available as ‘case reports’, and few
clinical trials have been conducted to date. Single-drug (monotherapy) or combination
drug therapy, administered via the intrathecal route, especially in metastatic breast and
lung cancer, has been shown to improve patients' symptoms and overall lifespan, while
exhibiting a low and acceptable prevalence of side effects. However, judgments/conclusions
about the effectiveness and safety of these drugs still require further clinical evaluation.
Polyvinyl Alcohol Nanofibers Blends as Drug Delivery System in Tissue
Regeneration
Authors: Barros Araújo Camila Beatriz , da Silva Soares Ingrid Larissa , da Silva Lima Diego Paulo , Barros Rafaella Moreno , de Lima Damasceno Bolívar Ponciano Goulart , Oshiro-Junior João Augusto 
Published: May 2023

Abstract:
Nanofibers have shown promising clinical results in the process of tissue regeneration since they provide
a similar structure to the extracellular matrix of different tissues, high surface-to-volume ratio and porosity,
flexibility, and gas permeation, offering topographical features that stimulate cell adhesion and proliferation.
Electrospinning is one of the most used techniques for manufacturing nanomaterials due to its simplicity and
low cost. In this review, we highlight the use of nanofibers produced with polyvinyl alcohol and polymeric associations
(PVA/blends) as a matrix for release capable of modifying the pharmacokinetic profile of different active
ingredients in the regeneration of connective, epithelial, muscular, and nervous tissues. Articles were selected
by three independent reviewers by analyzing the databases, such as Web of Science, PubMed, Science Direct,
and Google Scholar (last 10 years). Descriptors used were “nanofibers”, “poly (vinyl alcohol)”, “muscle
tissue”, “connective tissue”, “epithelial tissue”, and “neural tissue engineering”. The guiding question was:
How do different compositions of polyvinyl alcohol polymeric nanofibers modify the pharmacokinetics of active
ingredients in different tissue regeneration processes? The results demonstrated the versatility of the production
of PVA nanofibers by solution blow technique with different actives (lipo/hydrophilic) and with pore
sizes varying between 60 and 450 nm depending on the polymers used in the mixture, which influences the
drug release that can be controlled for hours or days. The tissue regeneration showed better cellular organization
and greater cell proliferation compared to the treatment with the control group, regardless of the tissue analyzed.
We highlight that, among all blends, the combinations PVA/PCL and PVA/CS showed good compatibility
and slow degradation, indicating their use in prolonged times of biodegradation, thus benefiting tissue regeneration
in bone and cartilage connective tissues, acting as a physical barrier that results in guided regeneration,
and preventing the invasion of cells from other tissues with increased proliferation rate.
Searching for Essential Genes and Targeted Drugs Common to Breast
Cancer and Osteoarthritis
Authors: Guo Liantao , Kong Deguang , Liu Jianhua , Luo Lan , Zheng Weijie , Chen Chuang , Sun Shengrong 
Published: May 2023

Background:
It is documented that osteoarthritis can promote the progression of breast
cancer (BC).

Objective:
This study aims to search for the essential genes associated with breast cancer (BC) and
osteoarthritis (OA), explore the relationship between epithelial-mesenchymal transition (EMT)-
related genes and the two diseases, and identify the candidate drugs.

Methods:
The genes related to both BC and OA were determined by text mining. Protein-protein
Interaction (PPI) analysis was carried out, and as a result, the exported genes were found to be related
to EMT. PPI and the correlation of mRNA of these genes were also analyzed. Different kinds
of enrichment analyses were performed on these genes. A prognostic analysis was performed on
these genes for examining their expression levels at different pathological stages, in different tissues,
and in different immune cells. Drug–gene interaction database was employed for potential
drug discovery.

Results:
A total number of 1422 genes were identified as common to BC and OA and 58 genes
were found to be related to EMT. We found that HDAC2 and TGFBR1 were significantly poor in
overall survival. High expression of HDAC2 plays a vital role in the increase of pathological stages.
Four immune cells might play a role in this process. Fifty-seven drugs were identified that
could potentially have therapeutic effects.

Conclusion:
EMT may be one of the mechanisms by which OA affects BC. Using the drugs can
have potential therapeutic effects, which may benefit patients with both diseases and broaden the
indications for drug use.
Structural Insights into N-heterocyclic Moieties as an Anticancer Agent
against Hepatocellular Carcinoma: An Exhaustive Perspective
Authors: Chourasiya Nikhil Kumar , Fatima Firdous , Mishra Mitali , Kori Shivam , Das Ratnesh , Kashaw Varsha , Iyer Arun K. , Kashaw Sushil Kumar 
Published: May 2023

Abstract:
Hepatocellular carcinoma (HCC) is rapidly spreading around the world with a high mortality
rate. In the low- and middle-income nations most impacted by HCV and HBV infections, HCC
places a significant strain on the healthcare system and leaches productive capability. An extensive
study on HCC to create novel therapeutic approaches was motivated by the lack of adequate preventive
or curative therapy methods. Several medications have been put forward and some drug molecules
are under investigation by the Food and Drug Administration (FDA) for the treatment of HCC.
However, these therapeutic choices fall short of the ideal due to toxicity and the rapid rise in drug
resistance which decreases the efficacy of these therapeutics and leads to the severity of hepatocellular
carcinoma. Therefore, concerning these problems, there is a critical need for novel systemic combination
therapies as well as novel molecular entities that target various signalling pathways, reducing
the likelihood that cancer cells may develop treatment resistance. In this review, we discuss the
conclusions of several studies suggesting that the N-heterocyclic ring system is a key structural component
of many synthetic drugs with a diverse range of biological activities. Following nuclei, such
as pyridazine, pyridine, and pyrimidines, along with benzimidazole, indole, acridine, oxadiazole,
imidazole, isoxazole, pyrazole, quinolines, and quinazolines, have been included to provide a general
overview of the link between structure and activity between heterocyclics and their derivatives
against hepatocellular carcinoma. A comprehensive investigation of the structure-activity relationship
between the series may be done by the direct comparison of anticancer activities with the reference.
Local Multiple-site Injections of a Plasmid Encoding Human MnSOD Mitigate
Radiation-induced Skin Injury by Inhibiting Ferroptosis
Authors: Wang Xiaoying , Lu Yuxin , Cheng Xiaochen , Zhu Xuefeng , Li Dujuan , Duan Haiying , Hu Shenhui , Xiao Fengjun , Du Li , Zhang Qinglin 
Published: May 2023

Background:
Most patients who undergo radiotherapy develop radiation skin injury, for
which effective treatment is urgently needed. MnSOD defends against reactive oxygen species (ROS)
damage and may be valuable for treating radiation-induced injury. Here, we (i) investigated the therapeutic
and preventive effects of local multiple-site injections of a plasmid, encoding human MnSOD, on
radiation-induced skin injury in rats and (ii) explored the mechanism underlying the protective effects of
pMnSOD.

Methods:
The recombinant plasmid (pMnSOD) was constructed with human cytomegalovirus (CMV)
promoter and pUC-ori. The protective effects of pMnSOD against 20-Gy X-ray irradiation were evaluated
in human keratinocytes (HaCaT cells) by determining cell viability, ROS levels, and ferroptosisrelated
gene expression. In therapeutic treatment, rats received local multiple-site injections of pMnSOD
on days 12, 19, and 21 after 40-Gy γ-ray irradiation. In preventive treatment, rats received pMnSOD
injections on day -3 pre-irradiation and on day 4 post-irradiation. The skin injuries were evaluated based
on the injury score and pathological examination, and ferroptosis-related gene expression was determined.

Results:
In irradiated HaCaT cells, pMnSOD transfection resulted in an increased SOD2 expression,
reduced intracellular ROS levels, and increased cell viability. Moreover, GPX4 and SLC7A11 expression
was significantly upregulated, and erastin-induced ferroptosis was inhibited in HaCaT cells. In the
therapeutic and prevention treatment experiments, pMnSOD administration produced local SOD protein
expression and evidently promoted the healing of radiation-induced skin injury. In the therapeutic
treatment experiments, the injury score in the high-dose pMnSOD group was significantly lower than in
the PBS group on day 33 post-irradiation (1.50 vs. 2.80, P < 0.05). In the prevention treatment experiments,
the skin injury scores were much lower in the pMnSOD administration groups than in the PBS
group from day 21 to day 34. GPX4, SLC7A11, and Bcl-2 were upregulated in irradiated skin tissues
after pMnSOD treatment, while ACSL4 was downregulated.

Conclusion:
The present study provides evidence that the protective effects of MnSOD in irradiated
HaCaT cells may be related to the inhibition of ferroptosis. The multi-site injections of pMnSOD had
clear therapeutic and preventive effects on radiation-induced skin injury in rats. pMnSOD may have
therapeutic value for the treatment of radiation-induced skin injury.
Insight into the Basic Mechanisms and Various Modulation Strategies
Involved in Cancer Drug Resistance
Authors: Yadav Devdhar , Rao Gudhanti Siva Naga Koteswara , Paliwal Deepika , Singh Amit , Shadab Sumbul 
Published: May 2023

Abstract:
It is possible for tumors to develop resistance to currently used drugs. However, its increasing
incidence necessitates further study and the development of novel therapies This review explores
our current understanding of the factors that enable drug resistance, which include, inactivation of the
drug, reduced drug uptake, increased drug efflux, metabolic effect, inhibition of apoptosis, epithelialmesenchymal
transition, modified membrane transport, and heterogeneity of inherent tumor cell. This
manuscript will also explore some genetic and epigenetic alterations that may encourage drug resistance
and fundamental mechanisms of the reluctance of drugs in leukemia, ovarian and breast cancer
and it concludes with a few solutions for managing drug resistance.
A Bird's Eye Review of Recent Reports on 1,3,4-oxadiazoles' Anti-inflammatory Insights Perspectives
Authors: Chaudhary Tarun , Upadhyay Prabhat Kumar 
Published: May 2023

Abstract:
Anti-inflammatory agents suppress inflammatory mediators such as prostaglandins, prostacyclins,
cytokines, thromboxane, histamine, bradykinins, COX-I and COX-II, 5-LOX, and other substances.
These inflammatory chemicals create inflammatory responses when tissue is injured by trauma,
bacteria, heat, toxins, or other factors. These inflammatory reactions may result in fluid flow from
the blood vessels into the tissues, resulting in swelling. When the therapeutic importance of these clinically
beneficial medications in treating inflammation was recognized, it spurred the invention of even
more powerful and important molecules. Oxadiazole derivatives are exceptionally potent NSAIDs, and
they are widely used. Comprehensive biochemical, structure-activity-relationship and pharmacological
investigations have demonstrated that these 1,3,4-oxadiazole compounds exhibit anti-inflammatory
properties. This review article outlines the synthesis scheme for 1,3,4-oxadiazole used in treating inflammation.
Distinctive Clinico-electrographic and Radiological Profile of Childhood and Adolescent Seizures
Authors: Prabha Rashmie , Bhakat Rahul , Mohan Kriti , Rajvanshi Nikhil , Chacham Swathi , Mohan Latika 
Published: May 2023

Aim:Electroencephalogram (EEG) is specific, but not sensitive, for the diagnosis of epi- lepsy. This study aimed to correlate the clinico-electrographic and radiological features of seizure disorders in children attending a tertiary care centre in northern India.Methods:Children aged between one to 18 years with seizure episodes were included. Clinical de- tails, including historical as well as physical findings, were evaluated along with EEG and neuroim- aging (Magnetic resonance imaging). Details were noted on pre-designed proforma. Variables were analysed by using appropriate statistical methods.Results:A total of 110 children with seizures were enrolled in the study. Male to female ratio was 1.6: 1, and the mean age of the study children was 8 years. The majority of the children were symp- tomatic for more than one year. The most common seizure type was Generalised Tonic Clonic Sei- zure (GTCS), and Hypoxic-ischemic Encephalopathy (HIE) sequelae was the most commonly at- tributed etiology, followed by neurocysticercosis. EEG and neuroimaging findings were found to correlate well with seizure semiology from history. The incidence of febrile seizures was 10% in this study, with nearly three-fourths of them being simple febrile seizures.Conclusion:Microcephaly and developmental delay were the most distinctive clinical correlates in children with seizures. There was a fair agreement between the types of seizures described in histo- ry and depicted on EEG with Cohen’s kappa of 0.4. Also, there was a significant association be- tween the type of seizures on EEG and the duration of symptoms.
An Efficient Ensemble-based Machine Learning approach for Predicting
Chronic Kidney Disease
Authors: Chhabra Divyanshi , Juneja Mamta , Chutani Gautam 
Published: May 2023

Background:
Chronic kidney disease (CKD) is a long-term risk to one’s health that can result in kidney failure. CKD is one of today's most serious diseases, and early detection can aid in proper treatment. Machine learning techniques have proven to be reliable in the early medical diagnosis.

Objective:
The paper aims to perform CKD prediction using machine learning classification approaches. The dataset used for the present study for detecting CKD was obtained from the machine learning repository at the University of California, Irvine (UCI).

Methods:
In this study, twelve machine learning-based classification algorithms with full features were used. Since the CKD dataset had a class imbalance issue, the Synthetic Minority Over-Sampling technique (SMOTE) was used to alleviate the problem of class imbalance and review the performance based on machine learning classification models using the K fold cross-validation technique. The proposed work compares the results of twelve classifiers with and without the SMOTE technique, and then the top three classifiers with the highest accuracy, Support Vector Machine, Random Forest, and Adaptive Boosting classification algorithms were selected to use the ensemble technique to improve performance.

Results:
The accuracy achieved using a stacking classifier as an ensemble technique with cross-validation is 99.5%.

Conclusion:
The study provides an ensemble learning approach in which the top three best-performing classifiers in terms of cross-validation results are stacked in an ensemble model after balancing the dataset using SMOTE. This proposed technique could be applied to other diseases in the future, making disease detection less intrusive and cost-effective.
Determination Of Aflatoxin M1 In Raw Cow's Milk Using Hplc- Fld, In Injibara Town, Awi Zone, Amhara, Ethiopia
Authors: Talema Alemu , Kassa Adisie 
Published: May 2023

Background:
Consumption of contaminated milk is a major health problem for consumers, and aflatoxins are potent liver carcinogens, mutagens, and immunosuppressive compounds. Therefore, raw cow milk must be constantly monitored for the presence of AFM1 contamination. It is extremely important to keep AFM1 levels low in raw cow’s milk. The level of AFM1 in milk varies depending on the level of AFB1 ingested by dairy cattle through the feed.

Objective:
This investigation is mainly focused on the detection of levels of AFM1 in raw cow’s milk. There is little information on the level and distribution of aflatoxin in raw milk samples from cows in the vicinity of Injibara Town. Therefore, it is important to analyze the level and distribution of aflatoxin in raw milk samples from cows in Injibara Town.

Methods:
This study is mainly a quantitative investigation of the amount of AFM1 in raw cow’s milk using the HPLC-FLD spectrometry methods. All the milk samples were collected using a random sampling technique method from different areas during the night and morning a day and the collected raw cow’s milk samples were stored in a clean polyethylene bag.

Results:
In the present study, a total of 324 raw cow’s milk samples were collected from farmers in Injibara town, and samples were analyzed in triplicate for AFM1 determination by HPLC-FLD. Aflatoxin M1 was detected in 3 (0.92 percent of whole samples) out of 324 samples with quantities ranging from 0.046 to 0.22 µg/L and a mean value of 0.121 µg/L. From 324 raw cow’s milk samples, two (0.62 %) were seen over and one sample (0.31 %) was below the permissible limits of EU and ES (0.05 µg/L. The most number of samples were not detected in AFM1 analysis.

Conclusions:
From this result conclude that two samples (0.096 and 0.22 μg/L) were over the EU (0.05μg/L) and ES (0.05μg/L) permitted levels and under analysis, one sample (0.046 μg/L) was below the standard limit in the USA (0.5 μg/L). The average contamination was 0.121µg/L and this data revealed that the raw cow’s milk is to a small extent contaminated with aflatoxins.