bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the causal relationship between inflammatory bowel disease and Bell's palsy based on inflammatory proteins: a Mendelian randomization study
Authors: Fan Daofeng , Wu Wenbao , Chen Yinjuan , Lian Qingqing , Dai Jiaqian , Zhao Changbo , Que Binfu , Qiu Rui 
Published: February 2025

Abstract

Background: The relationship between Inflammatory Bowel Disease (IBD) and Bell’s palsy remains unsubstantiated. This study aims to investigate the causal relationship between IBD and Bell’s palsy.
Methods: Using two-sample Mendelian randomization (MR) method to explore the relationship between IBD and Bell’s palsy. We applied Bell’s palsy summary statistics from GWAS statistics for 91 inflammatory proteins and FinnGen R10 and IBD summary statistics from the International Inflammatory Bowel Disease Genetics Consortium.
Results: The two-sample MR study indicates a significant positive association between IBD and Bell’s palsy (OR: 1.13, 95% CI [1.03 to 1.23], P = 0.0065) and between Crohn’s disease and Bell’s palsy (OR: 1.10, 95% CI [1.02 to 1.18], P = 0.0088). After applying Bonferroni correction, IBD remained significantly correlated with Bell’s palsy. Subsequently, the causal relationship between circulating inflammatory proteins in Bell's palsy and inflammatory bowel disease samples was reevaluated. The results of MR study between inflammatory proteins among these two diseases suggests that the C-X-C Motif Chemokine Ligand 5 (CXCL5) is a potential protective factor and interleukin_17C (IL_17C) is a risk factor for these two diseases. Conversely, Signaling Lymphocytic Activation Molecule Family Member 1 (SLAMF1) is a protective factor for Bell's palsy and a risk factor for inflammatory bowel disease.
Conclusions: The findings indicate that IBD may be a risk factor for Bell’s palsy at the genetic level. CXCL5, IL_17C, SLAMF1 are possible co-acting pathways between Bell's palsy and inflammatory bowel disease. These findings may provide new targets for the treatment of both diseases.
HER3-targeting Antibody-drug Conjugates Therapy for Solid Tumors: Recent Advances and Future Potentials
Authors: Wang Xuerui , Zhao Linlin , Gao Fangfang , Meng Yuan , Yang Jie , Zhu Meiying , Liao Dongying , Jia Yingjie , Kong Fanming 
Published: February 2025

Abstract:
In most advanced cancers, standard medical treatments are generally employed.
With the emergence of Antibody-Drug Conjugates (ADCs), more optimal therapeutic
methods have become available for treating tumors. ADC is composed of a monoclonal
antibody that targets a specific antigen and a cytotoxic payload, which conjugates
via the synthetic linkers. Therefore, ADC combines the accurate targeting of monoclonal
antibodies with the potent efficacy of cytotoxic chemotherapy drugs while circumventing
systemic toxicity. Besides, the epidermal growth factor receptor (EGFR) family, expressing
differently between tumors and normal tissues, is one of the most frequently targeted
antigens for ADC therapy, which mainly encompasses EGFR1/ErbB1, human epidermal
growth factor receptor 2/ epidermal growth factor receptor 2 (HER2/ErbB2),
HER3/ErbB3, and HER4/ErbB4. In contrast to other targets, HER3 stands out as a
promising one, closely associated with the pathogenesis of treatment resistance in several
cancers. Moreover, solid tumors, which are more prevalent than hematological malignancies,
present a vast field of opportunities for the development of HER3-targeting
ADCs. However, research on HER3-targeting ADCs treating solid tumors remains insufficient.
Therefore, it is imperative for researchers to gather more clinical trial data and
continue to elucidate the efficacy and safety of HER3-ADCs in solid tumors. This review
summarizes recent advances and future potentials, aiming to provide insights into
targeted therapy. We hope that this review will provide useful information to physicians
in the field.
Evaluation of Cytotoxicity and Antimicrobial Activity of Thanatin Recombinant Peptide against Some Oral Bacteria: A Novel Approach against Bacterial Pathogens in Dentistry
Authors: Karimooy Atefeh Nemati , Jarchi Mohammad , Forouzanfar Fatemeh , Tanhaiean Abass , Esmaeili Arash , Mohammadipour Hamideh Sadat 
Published: February 2025

Objective:
This study investigated the antimicrobial properties of the thanatin peptide against oral bacteria associated with dental caries and endodontic failures. Additionally, the cytotoxic effects of this peptide on human gingival fibroblast cells (HGFCs) were assessed.

Methods and Materials:
The antimicrobial property of thanatin was tested on Streptococcus mutans, Streptococcus salivarius, Streptococcus oralis, and Enterococcus faecalis, using the microbroth dilu-tion method. The 0.2% Chlorhexidine mouthwash was used as the control group. Additionally, the cytotoxicity was measured using the MTT assay. The results were presented descriptively and ana-lyzed via one-way ANOVA and Tukey's HSD tests.

Results:
Thanatin demonstrated the strongest bacteriostatic effect (MIC) against S. salivarius, meas-uring 4.68 μg/ml, which is approximately double that of S. mutans and S. oralis, with concentrations of 9.37 and 8.75 μg/ml, respectively. The highest bactericidal activity (MBC) of thanatin was noted in S. salivarius and S. oralis at 9.37 μg/ml. The antibacterial effects of thanatin against evaluated bacteria were several times lower than those of Chlorhexidine. The cytotoxicity assessment indicated that over 70% and 60% of the HGFCs remained viable after 24 and 48 hours, respectively.

Conclusion:
Although thanatin exhibited significantly higher biocompatibility, its antimicrobial ef-fectiveness against the tested oral bacteria was inferior to that of 0.2% Chlorhexidine.
Reduction of Nitrate and Acrylamide in Cereal Baking Using Lactobacillus casei and Herbal Extracts
Authors: Roumi Mehrnaz , Behbahani Mandana , Abbasi Mahsa 
Published: February 2025

Background:
Nitrate and acrylamide as carcinogenic substances are increased during
the baking process of foods, such as cereals.

Objective:
This study aimed to reduce the amount of acrylamide and nitrate in three types of cereals,
wheat, barley, and maize, by treatment with probiotic bacteria and several plant extracts.

Method:
Three types of plant extracts were prepared from Coriandrum sativum, Nigella sativa,
and Thymus sp. leaves and stem. Also, Lactobacillus casei subspecies rhamnosus LCR6013 was
used as probiotic bacteria for bacterial treatment. Acrylamide and nitrate were measured by HPLC
and UV-vis spectrophotometry.

Results:
Adding plant extracts and LCR 6013 bacteria could reduce the level of nitrate and acrylamide
in the cereal samples. Among plant extracts, nigella could reduce nitrate in all samples below
detectable levels. Also, it was effective in reducing acrylamide content from samples to the extent
of 87% in barley, 60% in wheat, and 100% in corn. Bacterial treatment could also reduce nitrate
levels between 70 and 100% while having a variable impact on decreasing acrylamide. Oneway
analysis of variance (ANOVA) was used to determine statistically significant results.

Conclusion:
It was concluded that pre-baking exposure to plant extract and bacteria is effective in
the reduction of nitrate and acrylamide quantity in the heat processing of cereals.
Nanotechnology Platform for the Delivery of Docetaxel and Tyrosine Kinase Inhibitors for HER2-Positive Breast Cancer Therapy
Authors: Mandala Bharathi , Berko Yvonne , Battogtok Gantamur , Fisusi Funmilola , Gao Haijun , Akala Emmanuel O. 
Published: February 2025

Background:
HER2-positive breast cancer is an aggressive subtype characterized by the
overexpression of the HER2 receptor, a transmembrane glycoprotein critical for tumor progression.
Current therapies often face challenges like drug resistance and systemic toxicity, necessitating the
development of advanced drug delivery systems.

Objective:
This study aimed to fabricate and determine the cytotoxicity of pH-sensitive PLA nanoparticles
dual-loaded with docetaxel and each of the small molecule tyrosine kinase inhibitors
(STKIs) (tucatinib, neratinib, lapatinib) in HER2-positive breast cancer cells.

Method:
Nanoparticles were synthesized by a dispersion polymerization method using an acidlabile
crosslinking agent, and PEG and lactide macromonomers. They were characterized for structure
(TEM), surface morphology (SEM), particle size, polydispersity index, zeta potential, and drug
loading capacity. Cytotoxicity was assessed in vitro on SKBR3 and MCF7 breast cancer cell lines,
with IC50 values compared across formulations.

Results:
The nanoparticles were spherical with nanoscale sizes and negative zeta potential values. In
vitro studies demonstrated enhanced antiproliferative effects of the drug-loaded nanoparticles, with
synergistic activity observed between docetaxel and the STKIs. The drug concentrations were
halved in combination formulations and resulted in better cytotoxicity compared to single-drug
treatments, particularly against SKBR3 cells. The IC50 values were lower in SKBR3 cells than in
MCF7 cells, highlighting the role of HER2 expression in the activity of TKIs.

Conclusion:
The pH-sensitive PLA nanoparticles effectively co-delivered docetaxel and STKIs and
demonstrated enhanced efficacy and reduced drug dosages in HER2-positive breast cancer models.
This study provides a foundation for further exploration of nanoparticle-based combination therapies
with potential applications in treating other aggressive cancer types.
As políticas para as mulheres no Brasil entre 2015 e 2019: estrutura, lideranças e orçamento
Authors: Alves Amorim Marina , Salej Ana Paula , De Mendonça Maia Maria Clara 
Published: February 2025

O artigo examina a desinstitucionalização das políticas para as mulheres no Brasil entre 2015 e 2019. A análise se inicia no ano anterior à queda da primeira mulher presidenta do País, Dilma Rousseff, e finaliza no primeiro ano de mandato de Jair Bolsonaro. Por intermédio do estudo de caso do organismo nacional de gestão de políticas para as mulheres, o trabalho analisa as alterações institucionais ocorridas no período delimitado; o perfil das mulheres que ocuparam o alto escalão; e o orçamento do organismo. Foi possível observar que, no período analisado, ocorreram quatro alterações no organismo em quatro anos – se, entre 2003 e 2015, havia um ministério dedicado exclusivamente às políticas para as mulheres, a partir de 2015 passou-se a um ministério que se dedicava, entre diferentes outros assuntos, a essas políticas. Em relação ao perfil das gestoras no alto escalão desses organismos, foi observada a transição das feministas às antifeministas, destacando que não se trata, somente, de uma mudança de desenho institucional do Estado, mas de uma mudança muito mais profunda, na direção da ação do Estado. A análise do orçamento evidenciou ainda mais a fragilidade institucional das políticas para as mulheres no Brasil entre 2015 e 2019: houve uma redução de quase 90% dos recursos financeiros, a execução orçamentária foi muito baixa e ocorreu uma mudança de foco nas políticas. Ao final, argumentou-se que a luta contra as violências às mulheres sempre foi um dos pilares mais importantes das políticas públicas para as mulheres no Brasil, entretanto, entre 2016 e 2019, foi a única pauta que restou na agenda do organismo nacional de gestão de políticas para as mulheres.
Patient-reported outcomes and complications of a new-generation total knee system: a randomized controlled trial
Authors: Mortensen Kristian R L , Ingelsrud Lina H , Odgaard Anders , Kappel Andreas , Varnum Claus , Schrøder Henrik , Gromov Kirill , Troelsen Anders 
Published: February 2025

Background and purpose: Documentation of new-generation implants’ short-term performance could reassure surgeons and patients about their use, while awaiting the long-term outcome. Our aim was to compare the performance of a newer total knee arthroplasty (TKA) system with its predecessor, measured by patient-reported knee function, pain, and complication rate.Methods: We performed a multi-center, randomized, controlled trial (clinicaltrials.gov ID: NCT03073941). 314 patients with primary osteoarthritis were randomized to treatment with a Persona or NexGen cruciate-retaining TKA system and followed for 2 years. The primary outcome was measured with the patient-reported outcome (PRO) Oxford Knee Score (OKS) 2 years post-surgery. Secondary outcomes were the OKS-Activity and Participation questionnaire (OKS-APQ), Forgotten Joint Score (FJS), EQ-5D-3L, and number of complications during the study period. Responder analyses were performed using Patient Acceptable Symptom State (PASS) and Minimal Important Change (MIC) criteria.Results: Primary outcome was available from 289 patients (92%). We found no difference in adjusted mean OKS between the groups 2 years post-surgery (0.1, 95% confidence interval –1.4 to 1.7). We found no significant differences in adjusted mean of secondary PROs, PRO time-weighted averages, proportion of patients with PASS or MIC, or complications 2 years post-surgery.Conclusion: We found no difference in OKS 2 years post-surgery, or in any secondary variables analyzed including complications, between the 2 TKA systems. Short-term safety and performance of the Persona TKA was comparable to its predecessor
Ensembled combination of Q-Learning and Deep Extreme learning machine to achieve the high performance and less latency to handle the large IoT and Fog Nodes.
Authors: Kumar Sharan , Kaneti Venkata Ramana , Sharma Vandana 
Published: February 2025

Abstract
The proliferation of IoT devices and the adoption of Fog computing architectures have transformed data processing and real-time decision-making across various domains. These advancements enable seamless connectivity and distributed computational power, fostering the development of more intelligent systems. However, managing large-scale IoT and Fog networks presents critical challenges, including high latency, inefficient resource utilization, and scalability limitations, which can undermine system performance. To address these challenges, this research proposes an innovative framework combining Q-Learning and Deep Extreme Learning Machine (DELM). Q-Learning optimizes resource allocation by intelligently learning and adapting to dynamic network conditions, ensuring efficient utilization of resources. It enhances decision-making processes by identifying optimal strategies to manage complex IoT and Fog environments. Meanwhile, DELM provides high-speed and accurate data processing capabilities, enabling it to handle the intensive computational demands of large-scale networks. By leveraging the complementary strengths of these methods, the framework aims to enhance latency, resource utilization, and scalability in large-scale environments. Extensive experimental evaluations validate the framework’s effectiveness, demonstrating significant reductions in latency, improved computational efficiency, and enhanced throughput. Furthermore, the framework efficiently handles complex data processing tasks with minimal overhead, making it suitable for diverse real-time applications across IoT and Fog systems. This study highlights the transformative potential of the proposed approach, offering high performance and real-time efficiency for complex, large-scale IoT and Fog computing environments.
Chat-GPT Powered IoT devices using regularizing the data for an efficient management systems
Authors: Patil Shilpa , Ramya T. Anne 
Published: February 2025

Abstract
Fetal Electrocardiogram (FECG) signals represent vital instruments for examining any irregularities in the heart’s functioning. Contemporary wearable technologies, including smartwatches and smartphones, now come with sophisticated sensors and computational systems designed to gather and process FECG signals from users. Lately, large language models such as T5 have attracted interest due to their capabilities in handling intricate patterns within data, positioning them as promising options for classifying morphological FECG signals and detecting arrhythmias. Nevertheless, diagnosing FECG signals on devices with limited resources presents considerable challenges owing to the complicated nature of the signals and the computational demands of implementing such algorithms on wearable tools. To tackle these difficulties, this paper suggests a strategy that merges T5-based learning methodologies to attain two main goals: (i) reducing the complexity of learning models without sacrificing diagnostic precision and (ii) ensuring performance in resource-limited wearable devices for ongoing monitoring of FECG signals. The research further investigates the implementation of the suggested T5-based algorithm through Software Codesign techniques to improve resource efficiency, concentrating on factors like reduced latency, decreased hardware usage, and enhanced energy efficiency. Comprehensive experiments were conducted using diverse FECG datasets and validated. The proposed T5-based methodology demonstrated significant improvements in diagnosing FECG signals compared to other learning frameworks, showcasing its effectiveness in managing complex data patterns and achieving high diagnostic performance. While the experimental findings highlight the T5-based model's potential for use in wearable devices. the study focused on the algorithm's adaptability and performance in software environments, paving the way for future exploration into resource-efficient implementations suitable for wearable applications.
Employer Branding as a Catalyst for Workforce Diversity and Excellence: An In-Depth Study from Costa Rica
Authors: Okot Tom , Ramirez Monica , Deckert Ronald 
Published: February 2025

Abstract

Background/Purpose
This study explores key factors Costa Rican workers consider when applying to or staying with a company, aiming to inform effective employer branding strategies.

Method
Surveying 385 mid/senior-level professionals, the research focuses on five dimensions: interest value, social value, economic value, development value, and application value.

Result
Findings reveal that Costa Rican professionals prioritize Interest Value, Application Value, and Development Value, emphasizing growth opportunities, engaging roles, and alignment with company values. Competitive compensation is also crucial.

Conclusion
The study suggests that employer branding strategies should highlight development opportunities, meaningful work, and value alignment to attract and retain diverse talent. Limitations include the survey’s design, which may restrict response depth, and its exclusive focus on Costa Rica, potentially limiting generalizability. The results offer valuable insights for organizations in Costa Rica to enhance recruitment and retention by aligning with job seeker preferences.
The Impact of Students’ Cybersecurity Vulnerability Behavior on E-Learning Obstacles
Authors: Taha Ibrahim Mohamed , Ali Rajaa Hussein Abd , Abbas Ali Abdulhassan 
Published: February 2025

Abstract

Background/purpose
This study examines the relationship between students’ cybersecurity vulnerability behavior and e-learning obstacles. With the rapid growth of online education, ensuring the security and privacy of digital platforms has become crucial. In this background, the current study is a first-of-its-kind attempt to understand the relationship between these two variables in the background of higher educational institutions in Iraq.

Methods
For this study, the researchers collected data during 2023 from students aged between 19 and 25 enrolled in the University of Karbala, Iraq, using a semi-structured research questionnaire, who were selected through a random sampling method. The questionnaire comprised questions pertaining to the dimensions of both the dependent and the independent variable. A total of 350 valid responses were considered for the analysis in which PLS-SEM was conducted.

Results
The outcomes revealed that the professional and human obstacles have a high association with cyber-security vulnerability behavior. The study also found that the overall obstacles have a significant effect on the cybersecurity vulnerability behavior. All hypotheses were verified and the outcomes confirm that there is an effective relationship between cybersecurity vulnerability behavior and e-learning obstacles

Conclusion
Based on the study outcomes, the authors proposed a few recommendations for all the stakeholders of the e-learning process, such as educational institutions, governments, faculty members, students, and their parents. Though the current study has been confined to a single university in Iraq, future researchers can focus on expanding the study to other higher educational institutions so that a nationwide policy-level initiative can be brought based on the research evidence.
On the Distribution Modulo one of the a-Points of the k th Derivative of an L-Function in the Selberg Class
Authors: Mekkaoui Mohammed , Mazhouda Kamel 
Published: February 2025

Abstract
Let F be an L-function from the Selberg class, F
(k) be the kth derivative of F and a be an arbitrary fixed complex number. The solutions of F
(k)(s)= a are called a-points. In this paper, we present a new zone without a-points of F
(k) and we show that if F has a polynomial Euler product and satisfies the analogue of the Lindelöf hypothesis, then the a-points of F
(k) are uniformly distributed modulo one.
The Beurling-Malliavin Density, The Pólya Density and Their Connection
Authors: Giuliano Rita , Grekos Georges , Mišík Ladislav 
Published: February 2025

Abstract
In this paper we analyze the Beurling-Malliavin density and some other quantities related to it. Then we consider the upper Pólya density and show how its existence is connected with the concept of subadditivity; moreover a theorem is presented that clarifies the connection between the upper Pólya and the Beurling-Malliavin densities. In the last section we discuss the classical definition of the upper Pólya density and we prove a result which seems to be new.
Analisis Faktor-Faktor yang Berhubungan dengan Kejadian ISPA pada Anak Usia 0-5 Tahun di RS Budi Kemuliaan Tahun 2021
Authors: Afifah Siti Dhiya , Windiany Erina , Dharmasetiawani Dharmasetiawani 
Published: February 2025

Latar Belakang: Infeksi Saluran Pernapasan Akut (ISPA) adalah infeksi pernapasan yang disebabkan mikroorganisme pada saluran napas baik bagian atas maupun bawah. ISPA paling umum terjadi pada saluran pernafasan atas yaitu rongga hidung, faring, dan laring dengan gejala pilek, faringitis atau radang tenggorok, laringitis, dan influenza tanpa komplikasi. ISPA merupakan penyakit yang terbanyak terjadi di negara berkembang dengan tingkat morbiditas dan mortalitas cukup tinggi terutama pada anak balita. Tujuan: diketahuinya faktor-faktor yang berhubungan dengan kejadian ISPA pada anak usia 0-5 tahun yang berobat rawat jalan di RS Budi Kemuliaan tahun 2021. Metode: Penelitian ini menggunakan jenis analitik observasional dengan desain cross sectional dengan perbandingan dua kelompok. Sampel penelitian adalah balita berumur 0-5 tahun dengan jumlah 178 sampel, pada kelompok kontrol 89 anak dan kelompok kasus 89 anak, sampel diambil dengan teknik random sampling dari data rekam medis. Hasil: Menunjukkan bahwa ada hubungan antara usia, status imunisasi terhadap ISPA (nilai p0,05). Tidak ada hubungan antara berat lahir, status gizi dan pemberian ASI terhadap ISPA (nilai p 0,05). Simpulan: berdasarkan hasil penelitian adanya hubungan yang bermakna pada usia dan status imunisasi dengan kejadian ISPA pada anak usia 0-5 tahun di RS Budi Kemuliaan tahun 2021, diketahui bahwa anak usia kurang dari 5 tahun mudah terkena penyakit karena imunitas tubuh yang masih berkembang. Dari hasil penelitian ini disarankan kepada orangtua untuk meningkatkan pemberian imunisasi pada anak sesuai usianya.