bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy Efficient Congestion Control using Rank-based Ant-Colony Optimization and Random Forest Regression (RAC-RFR) in Wireless Sensor Network
Authors: N.S Julie Joan , D Rajinigirinath , P.S Prakash 
Published: April 2024

Abstract
Currently, plenty of sensor devices have come to use which communicate with each other using Wireless Sensor Networks (WSN). The increase in the number of sensor devices increases the rate of congestion and traffic, as numerous sensed data try to reach the destination node, than the channel capacity. As a result, there is a loss of packets, degradation in throughput, and an increase in energy consumption, thereby degrading the efficiency and robustness of WSN. To address the above-mentioned issues, the paper has proposed a traffic-oriented and resource-oriented congestion control mechanism namely Rank-based Ant-Colony Optimization and Random Forest Regression (RAC-RFR). The Rank-based Ant-Colony Optimization is used for detecting multiple congestion-free paths based on a ranking system that ranks based on the length of the path. The Random Forest Regression is Machine learning-based optimal pathfinder, which chooses the optimal congestion-free path among the paths found by RAC based on the packet loss rate and path rank. From the experimental results conducted the proposed approach showed enhanced performance in terms of throughput, delay, packet loss, queue size, congestion level, and energy consumption against existing congestion control methodologies.
Gender-specific implications of the Waist-to-Weight Index in predicting prediabetes prevalence
Authors: Zhang Yang , Wei Qiangman , Chen Qianzhi 
Published: April 2024

Abstract

Purpose
To explore how WWI correlates with prediabetes prevalence.
Methods
analyzing data from 13,688 individuals with prediabetes and 14,753 non-diabetic individuals, multifactorial logistic regression models were used to assess the relationship between WWI and the incidence of prediabetes, considering variables such as age, gender, BMI, race, and various health markers, and compared with BMI, WC (Waist Circumference), and WHt (Waist-to-Height Ratio).
Results
The study found a direct and significant association between an increase in WWI and an increased prevalence of prediabetes, especially in the highest WWI quartile (Q4). Gender differences were also significant in the prevalence of prediabetes, and the evaluation effect of WWI was on par with WC and greater than that of BMI and WHt.
Conclusion
WWI has been proven to be a key indicator for assessing the prevalence of prediabetes, emphasizing the need for gender-specific approaches in health strategies.
Attenuation of c-Myc expression in breast cancer by hesperidin-mediated stabilization of its promoter proximal G quadruplex region
Authors: Choudhury Satabdi Datta , Ghosh Sandip , Kumar Prateek , Bhardwaj Aparna , Singh Krishna , Singh Aakriti , Kumar Amit , Basu Biswarup , Giri Rajnish , Choudhury Diptiman 
Published: April 2024

Abstract

The G-Quadruplex (G4) silencer element (Pu-27), an epigenetic regulator located upstream of the c-Myc promoter, when stabilized and restored to its basal expression, presents a potential avenue for effective anticancer therapy. This study investigates Hesperidin, a citrus flavanone, as a potential breast cancer therapy by targeting the c-Myc G-quadruplex (G4) silencer element, Pu-27. Hesperidin showed strong interaction with Pu-27, indicated by a binding score of -7.241 and the formation of hydrogen bonds with five regions of Pu-27 G4, with a binding free energy of -48.344 kcal/mol. Increasing Hesperidin concentration significantly increased Pu-27 G4 ellipticity and melting temperature, suggesting structural stabilization. Atomic force microscopy revealed higher-order nanostructure formation in Pu-27 G4 with Hesperidin. Functional assays demonstrated reduced Pu-27 primer dimer PCR product and mTFP expression with increasing Hesperidin concentration. Selective cytotoxicity against MDA-MB-231 breast cancer cells, attenuation of clonogenicity and migration, along with downregulation of c-Myc expression both in vitro and in vivo in mice tumor models, further supported Hesperidin's potential as a breast cancer therapeutic. These findings highlight Hesperidin's ability to interact with the c-Myc G4 element, influencing cancer cell behavior, and suggest its promise as a therapeutic agent for breast cancer.
WITHDRAWN: Application of poly(Clove Oil)-Based Organo-Hydrogels for Drug Delivery Systems
Authors: Dudu Tuba Ersen , Alpaslan Duygu , Turan Abdullah , Aktas Nahit 
Published: April 2024

Abstract

Organo-hydrogels, which are polymeric and biocompatible materials, can control the rate of drug release and enable drugs to reach target sites easily. In the presented study, clove oil-based organo-hydrogels were synthesized for the first-time using agar(A), glycerol(G), and clove oil(ClO), which have biocompatible, antioxidant, and therapeutic properties, and were used as drug release support material for the first time. Gel(AG), hydrogel(p(AG-m) and p(AG-g)), and organo-hydrogels(p(AG-m-ClO) and p(AG-g-ClO) based) were synthesized by redox polymerization technique using N,N, methylenebisacrylamide(MBA) and glutaraldehyde(GA) crosslinkers. In addition, to observe the effect of the amount of clove oil, organo-hydrogels were synthesized with different oil ratios(between 0.1–0.3 mg).In this way were synthesized six different organo-hydrogels. Vitamin D and 5-Fluorouracil(5-Flu) were selected as model drugs. The structure of gel, hydrogel and organo-hydrogels cross-linked with MBA or GA reagent were elucidated by Fourier Transform Infrared Spectroscopy(FTIR),swelling analysis, blood coagulation, hemolysis analysis, and Antioxidant analysis. The FTIR results showed that the structure of Agar and Glycerol based gel and hydrogels was changed after adding clove oil. The results of blood clotting, hemolysis, and antioxidant analysis showed that the organo-hydrogels prepared were blood and biocompatible. The swelling analyses showed that varying amounts of clove oil affected the swelling capacity of organo-hydrogels. The slow-release properties and release kinetics(Zero-order kinetic(ZoKM),First-order kinetic(FoKM),Higuchi(HKM), and Korsmeyer-Peppas model(KPKM)) of organo-hydrogels as a function of pH were also investigated. The results showed that these new organo-hydrogels were not only blood compatible and biocompatible but also had good slow-release properties that can effectively improve the utilization of drugs.
A Novel Unambiguous Acquisition Algorithm Based on Decomposition and Reconstruction of Sub-correlation Functions for Semi-integer CPM Signals
Authors: Xie Mingming , Xue Rui 
Published: April 2024

Abstract

Continuous phase modulation (CPM) is a nonlinear modulation scheme known for its excellent frequency and power efficiency. CPM with a semi-integer modulation index greater than 1 not only has spectral splitting characteristics like binary offset carrier modulation but also exhibits superior tracking performance and compatibility. However, the multiple side peaks in the autocorrelation function (ACF) of the semi-integer CPM signals introduce ambiguity threats in signal acquisition, and most existing ambiguity cancellation methods are not suitable for CPM signals due to the nonlinear nature of CPM signals. Therefore, a novel unambiguous acquisition algorithm based on decomposition and reconstruction of sub-correlation functions (DRSCF) is proposed for semi-integer CPM signals. The algorithm further decomposes the first pulse amplitude modulation waveform after Laurent decomposition to obtain sub-signal waveforms suitable for CPM signals and reconstructs the unambiguous correlation function by a nonlinear combination of sub-correlation functions. Subsequently, energy loss compensation is performed using ACF. Theoretical analysis and simulation results show that the proposed technique effectively eliminates the ambiguity threat in the acquisition process of semi-integer CPM signals at the expense of some detection performance loss while maintaining the narrow correlation peak characteristics of semi-integer CPM signals.
Streptomyces small laccase expressed in Aspergillus niger as a new addition for the lignocellulose bioconversion toolbox
Authors: Sidar Andika , Voshol Gerben P. , El-Masoudi Ahmed , Vijgenboom Erik , Punt Peter J. 
Published: April 2024

Abstract

Laccases are multi-copper oxidases that are usually composed of three Cu-oxidase domains. Domain one and three house the copper binding sites, and the second domain is involved in forming a substrate-binding cleft. However, Streptomyces species are found to have small laccases (SLAC) that lack one of the three Cu-oxidase domains. This type of SLAC with interesting bioconversion activities have not been reported in Aspergillus niger. In our research, we explored the expression and engineering of the SLAC from Streptomyces leeuwenhoekii C34 in A. niger. Genes encoding two versions of the SLAC were expressed. One encoding the SLAC in its native form and a second encoding the SLAC fused to two N-terminal CBM1 domains. The latter is a configuration also known for specific yeast laccases. Both SLAC variants were functionally expressed in A. niger as shown by in vitro activity assays and proteome analysis. Laccase activity was also analyzed toward bioconversion of lignocellulosic rice straw. From this analysis it was clear that the SLAC activity improved the efficiency of saccharification of lignocellulosic biomass by cellulase enzyme cocktails.
Implication of acacia gum for cereal-legume-millet-based composite flour: Nutritional and functional attributes and biological activity
Authors: Vaduguru Viswanath , Puttananjaiah Mohankumari Honganoor 
Published: April 2024

Abstract
This study evaluated the nutritional and functional properties, bioactive compounds and scavenging activities of composite flour (rice, ragi, cowpea and black gram) formulations with and without acacia gum. Bioactive components such as total phenolic content, total flavonoid content and antioxidant activity were also analyzed. The protein and ash contents were greater in F3-AG, at 15.47 ± 0.76% and 2.69 ± 0.25%, respectively. F2-AG had the highest WAC (%) of 135.74 ± 1.80, followed by F3-AG with 119.19 ± 1.01. F2 + AG had the highest oil absorption capacity (66.71 ± 0.82%), followed by F1 + AG (65.90 + 1.20%). The foam capacity of the different flour formulations ranged from 11.47 to 15.20%. The FC of F3 + AG (15.20%) was found to be high among the other formulations. FS was most common in F2-AG (88.55%), followed by F2 + AG (80.58%). The highest EA was observed for F1 + AG (42.05%), followed by F2 + AG (40.58%). The highest ES was observed for F2 + AG (59.18%), followed by F3 + AG (50.18%). PAC was greater in the composite flour (6.40–6.70 mg/g) than in the individual flours (0.47–5.49 mg/g). Compared with those in the F1-AG and F2 + AG groups, the protein content in the S1-AG and S2 + AG groups was increased. The main objective of this study was to enhance the nutritional quality and functional properties of the product prepared from composite flour. The results also suggested that blending cereals and pulse flour could enhance the functional properties and bioactive components of composite flours.
Examining the Impact of Green Logistics Practices on Supply Chain Resilience
Authors: Gupta Reena 
Published: April 2024

Abstract
This qualitative study investigates the nexus between green logistics practices and supply chain resilience, elucidating their interplay and implications for organizational performance. Through in-depth interviews with supply chain professionals and sustainability experts, key themes and patterns emerge, revealing the multifaceted nature of sustainability initiatives and their impact on resilience within supply chains. Findings highlight the importance of adopting a holistic approach to sustainability, integrating environmental, social, and economic considerations to create synergies between green logistics and resilience. Despite organizational challenges and barriers, tangible benefits such as cost savings, operational efficiencies, and brand reputation are identified, underscoring the strategic value of sustainability as a driver of competitive advantage and long-term viability. Future research directions include longitudinal studies to assess the long-term impact of green logistics practices, comparative analyses across different organizational structures and supply chain configurations, and interdisciplinary approaches to develop holistic frameworks for assessing sustainability-resilience synergies. Managerial implications suggest prioritizing sustainability, fostering cross-functional collaboration, and leveraging digital technologies to enhance supply chain visibility and risk management capabilities. In summary, this study contributes to a nuanced understanding of how green logistics practices can enhance supply chain resilience, guiding organizations towards sustainable and resilient business practices.
Perinatal outcomes after a prenatal diagnosis of a fetal copy number variant: A retrospective population-based cohort study
Authors: Pynaker Cecilia , McCoy Jacqui , Halliday Jane , Lewis Sharon , Amor David J , Walker Susan P , Hui Lisa 
Published: April 2024

Abstract

Background
There are no established guidelines for the follow up of infants born after a prenatal diagnosis of a genomic copy number variant (CNV), despite their increased risk of developmental issues. The aims of this study were (i) to determine the perinatal outcomes of fetuses diagnosed with and without a CNV, and (ii) to establish a population-based paediatric cohort for long term developmental follow up.
Methods
An Australian state-wide research database was screened for pregnant individuals who had a prenatal chromosomal microarray (CMA) between 2013–2019 inclusive. Following linkage to laboratory records and clinical referrer details, hospital records were manually reviewed for study eligibility. Eligible participants were mother-child pairs where the pregnancy resulted in a livebirth, the mother was able to provide informed consent in English (did not require a translator) and the mother was the primary caregiver for the child at hospital discharge after birth. Research invitations were sent by registered post at an average of six years after the prenatal diagnostic test. Statistical analysis was performed in Stata17.
Results
Of 1832 prenatal records examined, 1364 (74.5%) mother-child pairs were eligible for recruitment into the follow up cohort. Of the 468 ineligible, 282 (60.3%) had ‘no live pregnancy outcome’ (209 terminations of pregnancy (TOP) and 73 miscarriages, stillbirths, and infant deaths), 157 (33.5%) required a translator, and 29 (6.2%) were excluded for other reasons. TOP rates varied by the type of fetal CNV detected: 49.3% (109/221) for pathogenic CNVs, 18.2% (58/319) for variants of uncertain significance and 3.3% (42/1292) where no clinically significant CNV was reported on CMA. Almost 77% of invitation letters were successfully delivered (1047/1364), and the subsequent participation rate in the follow up cohort was 19.2% (201/1047).
Conclusions
This study provides Australia’s first population-based data on perinatal outcomes following prenatal diagnostic testing with CMA. The relatively high rates of pregnancy loss for those with a prenatal diagnosis of a CNV presented a challenge for establishing a paediatric cohort to examine long term outcomes. Recruiting a mother-child cohort via prenatal ascertainment is a complex and resource-intensive process, but an important step in understanding the impact of a CNV diagnosis in pregnancy and beyond.
Trial registration:
ACTRN12620000446965p; Registered on April 6, 2020.
Exploring the Role of Stakeholder Collaboration in Sustainable Supply Chain Management
Authors: Cooper Mason 
Published: April 2024

Abstract
This qualitative study delves into the pivotal role of stakeholder collaboration in sustainable supply chain management (SSCM), aiming to elucidate the mechanisms, challenges, and opportunities inherent in collaborative sustainability efforts within supply chains. Through semi-structured interviews with key stakeholders from diverse industries and sectors, the research explores stakeholders' perspectives, experiences, and practices related to collaboration in SSCM. The findings underscore the critical importance of collaboration in driving sustainability goals within supply chains, facilitating trust, transparency, and mutual understanding among stakeholders. Despite its recognized significance, the study identifies challenges and barriers to effective collaboration, including divergent interests, power imbalances, resource constraints, and communication barriers. Moreover, the study highlights the role of technological advancements and collaborative platforms in enhancing stakeholder collaboration in SSCM, providing tools and resources to enhance transparency, traceability, and accountability within supply chains. Additionally, the study emphasizes the importance of regulatory frameworks and industry standards in shaping collaborative sustainability efforts within supply chains, providing guidelines and incentives for organizations to adopt sustainable practices and collaborate with stakeholders. Overall, the research contributes to a deeper understanding of stakeholder collaboration in SSCM and offers insights for researchers, practitioners, policymakers, and industry stakeholders seeking to harness collaborative approaches to advance sustainability goals and create value for all stakeholders involved.
CLDN18: Clinical, Pathological, and Genetic Signatures with Drug
Screening in Gastric Adenocarcinoma
Authors: Hur Joon Young , Min Kyueng-Whan , Noh Yung-Kyun , Won Young-Woong , Yeo Yoomi , Kim Dong-Hoon , Son Byoung Kwan , Kwon Mi Jung , Pyo Jung Soo 
Published: April 2024

Introduction:
The CLDN18 gene, encoding claudin 18.1 and claudin 18.2, is
a key component of tight junction strands in epithelial cells that form a paracellular barrier that is critical in Stomach Adenocarcinoma (STAD).

Methods:
Our study included 1,095 patients with proven STAD, 415 from The Cancer
Genome Atlas (TCGA) cohort and 680 from the Gene Expression Omnibus database.
We applied various analyses, including gene set enrichment analysis, pathway analysis,
and in vitro drug screening to evaluate survival, immune cells, and genes and gene sets
associated with cancer progression, based on CLDN18 expression levels. Gradient boosting machine learning (70% for training, 15% for validation, and 15% for testing) was
used to evaluate the impact of CLDN18 on survival and develop a survival prediction
model.

Results:
High CLDN18 expression correlated with worse survival in lymphocyte-poor
STAD, accompanied by decreased helper T cells, altered metabolic genes, low necrosis-related gene expression, and increased tumor proliferation. CLDN18 expression
showed associations with gene sets associated with various stomach, breast, ovarian,
and esophageal cancers, while pathway analysis linked CLDN18 to immunity. Incorporating CLDN18 expression improved survival prediction in a machine learning model.
Notably, nutlin-3a and niraparib effectively inhibited high CLDN18-expressing gastric
cancer cells in drug screening.

Conclusion:
Our study provides a comprehensive understanding of the biological role
of CLDN18-based bioinformatics and machine learning analysis in STAD, shedding
light on its prognostic significance and potential therapeutic implications. To fully elucidate the molecular intricacies of CLDN18, further investigation is warranted, particularly through in vitro and in vivo studies.
Impact of NF-κB Signaling and Sirtuin-1 Protein for Targeted
Inflammatory Intervention
Authors: Das Sagar , Mukherjee Tuhin , Mohanty Satyajit , Nayak Nikita , Mal Payel , Ashique Sumel , Pal Radheshyam , Mohanto Sourav , Sharma Himanshu 
Published: April 2024

Abstract:
This detailed review disclosed the NF-κB pro-inflammatory gen's activity regulation
and explored the therapeutic significance, activation, and inhibition. This study uncovers the
structural intricacies of the NF-κB proteins and highlights the key role of SIRT1 in NF-kB signaling pathway regulation. Particularly the Rel Homology Domain (RHD), elucidating interactions and the regulatory mechanisms involving inhibitory proteins like IκB and p100 within the
NF-κB signaling cascade. Disruption of the pathway is important in uncontrolled inflammation
and immune disorders. This study extensively describes the role connections of canonical and
non-canonical signaling pathways of NF-κB with inflammatory and cellular responses. SIRT1
belongs to the class III histone deacetylase, via RelA/p65 deacetylation, it regulates the activity
of NF-κB, closely linked with the NAD+/NADH cellular ratio, influencing stress responses,
aging processes, gene regulation, and metabolic pathways. This detailed study reveals SIRT1 as
a crucial avenue for uncovering the role of imbalanced NF-κB in diabetes, obesity, and atherosclerosis. This study provides valuable knowledge about the therapeutic targets of inflammatory
disorders.
The Hidden Enemy Within: Uncovering the Secrets of HIV Tissues
Reservoirs and Current mRNA Vaccine Development
Authors: Prakash Satyendra , Kumar Mayank 
Published: April 2024

Abstract:
Human Immunodeficiency Viruses (HIV) continue to pose a significant global health
threat despite the availability of antiretroviral therapy (ART). As a retrovirus, HIV persists as a
stable, integrated, and replication-competent provirus within a diverse array of long-lived cells for
many years, often termed “latent reservoirs” in individuals. Thus, this review aims to furnish a
comprehensive overview of diverse tissue reservoirs where HIV persists, elucidating their pathogenesis
and advancement in their strategies for clinical management. Understanding the mechanisms
underlying HIV persistence within tissue reservoirs is of significant interest in developing effective
ART for suppressing the virus in the blood. In addition, we also discussed the ongoing mRNA
HIV vaccine that has shown promising results in clinical trials to elicit broadly neutralizing
antibodies and effective T-cell responses against HIV.
The Efficiency of Acoustic Radiation Force Impulse (ARFI) Elastography in the
Differentiation of Renal Cell Carcinoma and Oncocytoma
Authors: Özgökçe Mesut , Dundar İlyas , Durmaz Fatma , Özkaçmaz Sercan , Kankılıç Nazım A. , Aslan Rahmi , Gül Abdullah , Akıncı M.Bilal 
Published: April 2024

Purpose:
This study is to investigate the effectiveness of Acoustic Radiation Force Impulse (ARFI) elastography in differentiating radiologically similar
renal cell carcinoma (RCC) and oncocytoma in solid masses of the kidney.

Methods:
The patients with solid renal mass histopathological diagnosed after excision or tru-cat biopsy who underwent a preoperative ARFI elastography of
the lesion during a 4-year period were included in this study. Preoperative shear wave velocity (SWV) values were measured in all the lesions.
SWV results of RCCs and oncocytomas were compared by an independent t-test, and cut-off, sensitivity and specificity values were calculated.

Results:
Forty-two of the 60 patients included in the study were men (70%) and, 18 were women (30%), and the mean age was 59.7 ± 14 (27-94) years.
Among 46 RCCs (76.6%), 23 and 14 oncocytomas, 5 (23.4%) were located in the right kidney (p:0.34722). Mean SWV values were found to be
significantly higher in RCCs (2.87± 0.74 (0.96-4.14) m/s) than oncocytomas (1.83 ± 0.78 (0.80-3.76) m/s) (p < 0.001). In the ROC analysis, a cutoff
value of 2.29 m/s was found to havean 80.4% sensitivity and a 78.6% specificity for the discrimination of RCCs from oncocytomas.

Conclusion:
ARFI elastography measurements may be useful in distinguishing RCC and oncocytomas that may have similar solid radiological imaging
features.