bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ancient DNA: a promising tool for understanding the evolutionary history and human pressure in the highly endangered limpet Patella ferruginea
Authors: Espinosa Free , Haile James , Finlayson Stewart , Giles-Guzman Francisco , Finlayson Geraldine , Finlayson Clive , Fa Darren A. 
Published: January 2024

Abstract
The use of ancient DNA has been proved as a powerful tool in phylogeny and phylogeographic studies. Nonetheless, its application in the field of conservation has been limited. Moreover, marine mollusc shells are well-preserved in the fossil record, providing invaluable information about the past. However, the extraction of DNA from ancient shells constitutes a challenge and only recently it has performed. In this context, Patella ferruginea has been the target of intense research due to its endangered status in the Mediterranean, with several genetic approaches always using fresh soft tissue samples. In the present study and for the first time, DNA from shells either modern and ancient has been successfully extracted and sequenced in this species indicating that COI haplotypes were the same than those already sequenced in previous studies based on those fresh soft tissue samples. The fact that DNA retrieved from the Middle Age had been sequenced in this species, promotes further research to compare genetic diversity between ancient and present populations to assess the impact of glacial periods or human harvesting in sharping the genetic diversity in this flagship species.
Comparison of the type and prevalence of cardiac involvement among children hospitalized with COVID-19 and Multisystem Inflammatory Syndrome in Children: A cross-sectional study
Authors: Tariverdi Marjan , Rajaei Shahrokh , Pourzare Saeed , Kargarfard Mohammad Reza , Mahmoudi Masoume 
Published: January 2024

Abstract
Background: Since the outbreak of COVID-19 in late 2019, more than 772 million individuals have been infected. There are numerous reports and studies about the complications and effects of this viral disease on different systems of the body. One of the important complications of COVID-19 in children is a condition named “Multisystem Inflammatory syndrome in Children (MIS-C)” which has some manifestations similar to Kawasaki disease or sepsis.
Methods: In this study, we retrospectively compared the cardiac complications of COVID-19 and MIS-C in individuals under 18 years old of age, admitted to the Children’s Hospital of Bandar-Abbas, Iran, in an 18-months period of time.
Results: The prevalence of mitral regurgitation in MIS-C and COVID-19 groups was 36.4% and 15.6%, respectively. The prevalence of tricuspid regurgitation in MIS-C and COVID-19 groups was 62.8% and 34.6%, respectively. The prevalence of positive result for troponin enzyme level in MIS-C and COVID-19 groups was 24.2% and 7.4%, respectively.
Conclusion: This study showed that the prevalence of cardiac involvement in MIS-C patients was greater than COVID-19 patients. Additionally, the most cardiac complications among these groups of patients were tricuspid regurgitation and mitral regurgitation.
The effect of natural salinity on seed germination, seedling establishment growth and selected biochemical properties of Stevia rebaudiana Bertoni
Authors: Omidi Heshmat , Keshavarzi Mohammad Hosein Bijeh , Mousavi Seyed Mohammad Reza 
Published: January 2024

Abstract
In dry and semi-arid climates, soil and water salinity reduces plant development and productivity. Due to salty land development and loss of arable land, identifying therapeutic plants resistant to salinity or substances that decrease its effects is crucial. This study examined the seed germination, seedling establishment, and antioxidant potential of a novel Stevia rebaudiana (Stevia UEM-13) variety to natural salinity. We also examined how salinity affected biochemical and physiological changes in two separate experiments to a CRD with four replications in laboratory and greenhouse. Five degrees of salinity treatments were examined in the natural saltwater Lake of Qom: Control, 4, 8, 12, and 16 ds.m− 1. The germination percent, root and shoot seedling dry weight, biochemical properties (medicinal content), and antioxidant enzyme activity were measured. Results indicate considerable impact of salt stress on germination, growth, biochemical, and physiological alterations (P ≤ 0.01). Increasing salinity stress to 16 ds.m− 1 decreased germination (95.08%), root and shoot length (43.93 and 80.88%), seedling dry weight (7.22%), and the best germination and growth index (88.00%) was found in controlled conditions. Shoot osmolytes increased with salinity stress. Example: Maximum protein (31.96%), POD (125%), SOD (64.36%), proline (115%), and soluble sugar (238%), observed at leaves sprout under salt stress (16 ds.m − 1). This study shows that salt stress increases secondary metabolites (phenolic chemicals), which modify stevia responsiveness and therapeutic qualities. Salinity stress enhanced antioxidant enzyme activity, carotenoids, anthocyanin, phenol, and malondialdehyde in shoots. The maximum activity was seen at a salinity stress level of 12 ds.m− 1. Changing irrigating procedures may modulate stevia's secondary metabolites (medicinal contents).
Fever lasting 48 hours as a predictive factor of ESBL-producing E. coli in non-critically ill patients with urinary tract infection
Authors: Yoon Sungbin , Kim Hae-rim , Kim So Won , Yu Hoon 
Published: January 2024

Abstract
Background
Urinary tract infection (UTI) is the most prevalent urological condition worldwide; however, its management is increasingly challenging due to the increasing rates of antibiotic resistance. Choosing appropriate antibiotics for patients who have fever before receiving a culture result is challenging. We investigated the utility of fever at 48 h as a predictive factor for extended spectrum beta-lactamase -producing E. coli (EPEC).
Method
The study enrolled patients 394 patients hospitalized at Gangneung Asan Hospital for UTI from May 2017 to April 2021. Fever at 48 h of hospitalization was the analysis point, as this is when the response to antibiotic therapy manifest, although the results of antibiogram are not available. Multivariate analysis was performed to assess the correlation between EPEC and fever at 48 h.
Result
Overall, 36.3% of patients had EPEC and 27.9% had fever at 48 h. In multivariate analysis, a significant association was found between EPEC and fever (odds ratio 1.17, 95% confidence interval 1.05–1.30, P = 0.004)
Conclusion
Fever at 48 h is associated with EPEC, and could be considered a predictive factor for EPEC infection in patients with UTI. Antibiotic escalation may be considered in patients with fever at 48 h.
Relationship between gut microbiota and Hashimoto’ s thyroiditis: a two-sample bidirectional Mendelian randomization study
Authors: Shao Xinran , Jiang Jiuzhi , Fei Xiang , Ying Zhang , Dongxiao Zhang , Jianchun Cui 
Published: January 2024

Abstract

Background
Hashimoto's thyroiditis(HT)is one of the most common autoimmune diseases. Observational studies have proved that the gut microbiome is related to the occurrence of HT, but the causal relationship between HT and gut microbiome. However, the causal-effect relationship between gut microbiome and HT remains to be determined.
Results
In this study, bidirectional Mendelian randomization (MR) was used to explore the relationship between HT and gut microbiome. Genome wide association studies (GWAS) data of gut microbiota were obtained from the MiBioGen database, containing 18340 samples. HT data is from the IEU open GWAS database, which contains 568833 samples. The methods used for MR analysis in this paper include inverse variance weighting (IVW), weighted median, weighted mode, Mr egger, and simple mode. F-statistics and sensitivity analysis were used to measure bias and reliability. Single Nucleotide Polymorphisms (SNPs) were used as instrumental variables (IVs) in MR studies.After false discovery rate (FDR) correction, we found a total of 9 bidirectional causal relationships between gut microbiome and HT. Five of them demonstrated the influence of gut microbiome on HT, respectively are genus Anaerostipes (OR = 1.239296,95%CI 1.03378–1.485669,p = 0.020389), family Alcaligenaceae (OR = 0.742608, 95%CI 0.61164–0.901619, p = 0.002645 )、genus Ruminococcaceae༈OR = 0.89581, 95%CI 0.810137–0.990542,p = 0.03193༉、genus Prevotella7 (OR = 0.895026,95%CI 0.810775–0.988031,p = 0.027898)、phylum Verrucomicrobia (OR = 0.838726,95%CI 0.722321–0.973889,p = 0.021051 ). Four described the effect of HT on the gut microbiome as follows, phylum Verrucomicrobia༈OR = 0.968114, 95%CI 0.938525–0.998637,p = 0.040743༉, class Deltaproteobacteria༈OR = 0.970233, 95%CI 0.942334–0.998958,p = 0.042353༉, family Verrucomicrobiaceae༈OR = 0.963272, 95%CI 0.933234–0.994277,p = 0.020607༉, family Christensenellaceae༈OR = 1.044625, 95%CI 1.003784–1.087127,p = 0.031903༉.No obvious horizontal pleiotrophy was found by MR-Egger intercept test and MR-PRESSO global test.
Conclusions
This MR study revealed the relationship between gut microbiome and autoimmune disease ——HT, which may provide a new direction for the future research on the interaction mechanism between the two, and provide a new reference for the study of risk factors of HT. In turn, we can use the intestinal flora as a biomarker for the early diagnosis of HT.
Multi-agent Task Allocation based on NSGA-II in a Warehouse Environment
Authors: Peng Yunlong , An Li , Li Wei , Peng Huihui 
Published: January 2024

Abstract
Multi-agent systems (MAS) can be widely applied in warehouse management to enhance logistics operation efficiency, reduce costs, and improve decision-making. In a MAS, robots can serve as agents to optimize the routing and scheduling of shipments, reducing delivery times and improving customer satisfaction in the warehouse environment. It is widely recognized that the more robots are deployed, the higher efficiency logistics operation will be. However, with the increasing number of robots, a growing number of challenges emerge, particularly in the domain of task allocation—a process aimed at assigning tasks to a group of robots to achieve a common goal. The task allocation often requires multi-objective optimization to balance various factors. This paper presents an efficient multi-agent task allocation algorithm that can handle both static and dynamic task allocation. To handle static tasks, the paper employs the NSGA2 algorithm, which can handle multi-objective optimization, to efficiently generate scheduling schemes and assign agents in the warehouse to execute tasks. For dynamic tasks, an auction-bid scheme is employed to quickly respond to task changes and ensure the efficient completion of the task. Meanwhile, we also design an effective scheme traffic-rules based to sufficiently avoid the robot collision. The simulation results demonstrated the capability of our algorithm to efficiently allocate tasks and plan the shortest path based on A*. Moreover, the algorithm effectively minimizes both the sum of the travel costs over all robots and the maximum individual travel cost over all robots simultaneously.
Occult tongue carcinoma and glossopharyngeal neuropathy: A rare cause of continuous hemicranial pain. A case report
Authors: Munoz-Cerón Joe , Castro Sebastian , Unigarro Adriana , Guerra Carlos 
Published: January 2024

Abstract
Background: Most tongue tumor lesions are evident upon physical examination; however, in cases where this does not happen in such a way, it is possible that invasion to adjacent neural structures may occur, resulting in headache as an initial manifestation.
Case presentation: We present the case of a 57-year-old man with continuous hemicranial pain, in whom further studies revealed occult tongue carcinoma as the cause of the headache. After treatment and two-year observation, the patient has remained asymptomatic.
Conclusions: This report suggests considering the tongue as a potential source of secondary etiologies of persistent hemicranial headache and describes a clinical variant of known cause of glossopharyngeal neuropathy (13.2.2.1 in ICHD III).
Design and deployment of a novel Decisive Algorithm to enable real-time optimal load scheduling within an Intelligent Smart Energy Management System based on IoT
Authors: Rao Challa Krishna , Sahoo Sarat Kumar , Yanine Franco Fernando 
Published: January 2024

Abstract

Consumers routinely use electrical devices, leading to a disparity between consumer demand and the supply side a significant concern for the energy sector. Implementing demand-side energy management can enhance energy efficiency and mitigate substantial supply-side shortages. Current energy management practices focus on reducing power consumption during peak hours, enabling a decrease in overall electricity costs without sacrificing usage. To tackle the mentioned challenges and maintain system equilibrium, it is essential to develop a flexible and portable system. Introducing an intelligent energy management system could pre-empt power outages by implementing controlled partial load shedding based on consumer preferences. During a demand response event, the system adapts by imposing a maximum demand limit, considering various scenarios and adjusting appliance priorities. Experimental work, incorporating user comfort levels, sensor data, and usage times, is conducted using Smart Energy Management Systems (SEMS) integrated with cost-optimization algorithms.
Qualitative Insights into Employee Perspectives on Service Quality in the Banking Industry
Authors: Anika Afrin 
Published: January 2024

Abstract
This qualitative research delves into the intricate world of employee perspectives on service quality within the banking industry, offering a comprehensive understanding of the factors that influence the delivery of high-quality services. Through semi-structured interviews with frontline staff, managers, and support personnel, the study reveals the pivotal role of interpersonal skills, organizational support, and adaptability to technological changes in shaping service quality. Frontline staff emphasized the importance of effective communication, empathy, and understanding customer needs, highlighting the human-centric aspect of service delivery. Managers underscored the influence of organizational support and leadership styles in fostering a positive service culture. The impact of technological changes on support personnel and their roles adds a layer of complexity, emphasizing the need for a balanced approach to technology in service delivery. The findings provide practical implications for banks aiming to enhance service quality in a rapidly evolving industry. Training programs focusing on interpersonal skills, leadership development, and continuous education regarding technological advancements emerge as key strategies. By fostering a positive organizational culture that values employees, banks can create an environment conducive to delivering exceptional service, ultimately meeting and exceeding customer expectations in the digital era.
Solving the Open Problem of Finding the Exact Pointwise Stable Fluid Flow Approximation (PSFFA) State Variable of a Non-Stationary M/M/1 Queue with Potential Real-Life PSFFA Applications to Computer Engineering
Authors: Mageed Ismail A 
Published: January 2024

Abstract
It is a real mathematical challenge to analytically find the closed-form expression of the temporal first- order differential equation expressing the steady state variable, x(t), in a non-stationary or time- changing M/M/1 queueing system is addressed. The simulation was used to solve the only known solution to this open problem, namely the closed-form expression of PSFFA model of the non-stationary M/M/1 queueing system. This work proposes a constant ratio, namely β(Ismail's ratio) of both time-dependent mean arrival and mean service rates to provide a precise analytic solution to this open topic. Numerical experiments were carried out to capture the temporal impact combined with Ismail's ratio β, and queueing parameters on the stability dynamics of the non-stationary M/M/1 queue. Potential applications of PSFFA to Computer engineering are provided. Some challenging open problems are addressed combined with closing remarks and future research directions.
The Differences of Blood Group Typing using Erythrocytes and Leukocytes
Authors: Pavlo Kravchun , Frida Leontyeva , Olena Povelichenko , Valentyna Dielievska 
Published: January 2024

Introduction::
Adsorption and mixed agglutination reactions detect A, B, and H blood group antigens in the cells.
The study aimed to investigate the adsorbing abilities of group-specific polyclonal antibodies using erythrocytes and leukocytes to improve the
quality of blood typing.

Material and Methods::
The adsorption was performed with group B erythrocytes and leukocytes using the usual heated citrated anti-B plasma at 4 °C and 37 °C. A mixed
agglutination reaction revealed group B antigens on leukocytes and erythrocytes.

Results::
The highest adsorption of antibodies from usual plasma on erythrocytes was observed at 4°C at physiological conditions. Weaker adsorption was
determined at pH 8.0 compared to pH 6.0 (the decrease of agglutination strength from 3+ to 2+ and 1+ accordingly).

:
The adsorption of polyclonal antibodies on erythrocytes at 37°C was the highest at pH 6.0 and 8.0 compared to physiological conditions (the
decrease of agglutination strength from 3+ to 1+). In contrast, adsorption at 4°C appeared to be stronger at pH 6.0.

:
The adsorption of IgG antibodies on erythrocytes at 37°C was higher at pH 8.0.

:
Complete adsorption of IgG antibodies was observed on group B erythrocytes and leukocytes at 37°C and 4°C.

Conclusions::
Adsorption of polyclonal group-specific antibodies on erythrocytes was the highest at 4 °C, and adsorption of IgG antibodies was strong at 4 °C
and 37 °C. Adsorption of leukocytes was revealed only with the use of the heated serum. IgG group-specific antibodies from the heated plasma
demonstrated higher adsorbing abilities on leukocytes than IgM antibodies from plasma.
H3N2: A Perspective on Re-emergence of Influenza Pandemic
Authors: Rath Shakti 
Published: January 2024

Abstract:
Annual seasonal influenza has been commonly experienced in most parts of the world since it was first introduced in 1968. The Influenza virus has
been evolving genetically with time, which makes an escape into the host cell easier. The H1N1 Influenza pandemic started in 1918; by 1957,
H1N1 was replaced by H2N2; following this, H3N2 emerged in 1968, replacing H2N2; in 2009, the H1N1 influenza re-emerged and lasted up to
2019. The increasing cases of the Influenza virus have consistently indicated a sudden re-emergence of a pandemic. To provide a perspective
overview of the re-emergence of the Influenza pandemic. With published literature from the past. All studies have been extracted from widely
referred databases, such as PubMed and Embase. This data has been extracted in a text file by running several strategic individual searches using
specific MeSH terms. In the contemporary world, influenza is still a constant threat. Because of the virus's fast mutation rate due to antigenic drift
and shift, increased international travel, and urbanization, it is crucial to have effective surveillance, early diagnosis, and quick reaction
mechanisms. Public health initiatives, antiviral medications, and vaccination efforts are essential for reducing the effects of seasonal epidemics and
possible pandemics. The resurgence of the influenza virus underscores the need for prioritizing readiness and teamwork. With the help of scientific
and technological developments and lessons learned from history, we can lessen the effects of future outbreaks. This finding opens up new avenues
for investigation and provides insight into the possibility of pandemic recurrence in the future.
Organic Synthesis via Renewable Heterogeneous Nanocatalysts Based on
Montmorillonite Clay
Authors: Al-Abayechi Mustafa M.H. , Al-Nayili Abbas , Balakit Asim A. , El-Hiti Gamal A. 
Published: January 2024

Abstract:
Synthetic organic molecules are vital for human life, serving as medications, pesticides, dyes, and
food additives. Organic synthesis provides routes for the production of these molecules. The traditional methods
of organic synthesis require energy, solvents, time, and certain conditions based on the nature of the reactions.
To address the issues associated with conventional processes, various environmentally friendly (green) methodologies
have been developed. Catalysts are crucial in many chemical methods. Chemists aim to develop catalysts
that are cost-effective, easy to recover, and can be synthesized with high catalytic activity and renewability.
Natural montmorillonite clay is an ideal material for efficient catalysts since it satisfies all these requirements.
This review focuses on the recent advances in the development of renewable nanocatalysts made from montmorillonite
to be used for the synthesis of various organic compounds.
Targeted Cancer Stem Cell Therapeutics: An Update
Authors: Fatima Naurin , Umar Mohammad , Ambreen Subiya , Shaququzzaman Mohd , Alam Mohammad Mumtaz , Ali Ruhi 
Published: January 2024

Abstract:
Cancer stem cells (CSCs) have become a key player in the growth of tumors, the spread
of cancer, and the resistance to therapeutic interventions. Targeting these elusive cell populations
has the potential to fundamentally alter cancer treatment plans. CSCs, also known as tumor-initiating
cells (TICs), are thought to play a role in both medication resistance and cancer recurrence.
This is explained by their capacity to regenerate themselves and change into different kinds of cancer
cells. Due to their higher expression of ATP-binding cassette (ABC) membrane transporters,
enhanced epithelial to mesenchymal (EMT) characteristics, improved immune evasion, activation
of survival signaling pathways, and improved DNA repair mechanisms, CSCs exhibit extraordinary
resistance to therapies. This comprehensive analysis delves into advancements in the domain
of Targeted Cancer Stem Cell Therapeutics, concentrating on unraveling the distinctive traits of
CSCs and the therapeutic methods devised to eliminate them.
Deciphering Tuberculous Meningitis: From Clinical Challenges to Novel
Models and Pathogenic Pathways
Authors: Mubarak Mohamad Mosa , Majeed Shahnawaz , Kantroo Hadiya Amin , Wani Zubair Ahmad , Malik Abbass , Ahmad Zahoor , Baba Ishfaq Ahmad 
Published: January 2024

Abstract:
During and after the COVID-19 pandemic,Tuberculosis (TB) has reestablished with
higher figures due to interruptions in the Directly Observed Treatment Short course (DOTS) despite underreporting. The rising consequences would have extended to extra-pulmonary forms of
TB as well, including Tuberculous Meningitis (TBM). Considering the fact that TBM is the most
dangerous and worst form of TB, we found the need to scan the literature to highlight various aspects of TBM. Epidemiology of TBM is proportionally less frightening, but the consequent mortalities and morbidities are more alarming than pulmonary TB. Here, we address critical research
gaps in Tuberculous Meningitis that warrant further investigations. The highlighted aspects encompass a comprehensive understanding of TBM's clinical presentation and improved diagnostic tools
for timely detection, the exploration of innovative chemotherapies and surgical interventions, the
unraveling of the role of the blood-brain barrier in disease onset, investigating of the contributions
of various brain cells to TBM development, deciphering the complex inflammatory response, exploring the involvement of Matrix Metalloproteinases in tissue damage, delving into host-pathogen genetics influencing susceptibility, utilizing robust in-vivo and in-vitro models for mechanistic insights, and more importantly between TBM and SARS-COVID-19 are discussed. Addressing
these gaps will substantially advance our understanding of TBM's complex pathogenesis, contributing to more effective diagnostic, therapeutic, and preventive strategies against this debilitating disease.