bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application Value of A Clinical Radiomic Nomogram for Identifying Diabetic Nephropathy and Nondiabetic Renal Disease
Authors: Liu Xiaoling , Xiao Weihan , Qiao Jing , Qin Xiachuan 
Published: February 2025

Objective:
An ultrasound-based radiomics Machine Learning Model (ML) was utilized to assess non-invasively the conditions of diabetic nephropathy and
non-diabetic renal disease in diabetic patients.

Methods:
A retrospective examination was conducted on 166 diabetic patients who had undergone renal biopsies guided by ultrasound, with the group
comprising 114 individuals diagnosed with diabetic nephropathy and 52 with non-diabetic renal disease. The participants were randomly divided
into the training set and the testing set (7:3). Following the extraction of radiomics features from the renal ultrasound images, a univariate analysis
was conducted, and the Least Absolute Shrinkage And Selection Operator (LASSO) algorithm was applied to select the most significant features.
Three ML algorithms were applied to construct the prediction models. Subsequently, the patients' clinical characteristics were evaluated through
both univariate and multivariate logistic regression analyses, which facilitated the development of a clinical model, following a clinical radiomics
model was formulated, integrating the radiomics scores (Radscore), along with the independent clinical variables identified through the screening
process. The diagnostic performance of the three models constructed was evaluated using the receiver operating characteristic (ROC) curve
analysis.

Results:
Among the three radiomics ML models, the logistic regression (LR) model achieved the best performance, with the area under the curve (AUC)
values of 0.872 (95%CI, 0.800-0.944) and 0.836 (95%CI, 0.716-0.957) for the training set and the testing set, respectively. The decision curve
analysis (DCA) verified the clinical practicability of the ML model. Within the same testing set, the AUC of the clinical model was 0.761 (95%CI,
0.606-0.916). The nomogram model based on clinical features plus Radscore showed the best discrimination, with an AUC value of 0.881 (95%CI,
0.779-0.982), which was better than that of the single clinical model and the radiomics model.

Conclusion:
The ML model of radiomics based on ultrasound images has potential value in the non-invasive differential diagnosis of patients with diabetic
nephropathy. The nomogram constructed based on rad score and clinical features could effectively distinguish DN from NDRD.
Recurrent Missense Driver STAT5B N642H Mutation in Children Transiting into Adolescence, with Acute Lymphoid Leukemia and its In silico Inhibition
Authors: Yasmin Rehana , Abbasi Rashda , Gohar Tajdar Jahangir , Hina  , Ahmad Nafees , Malik Sajid 
Published: February 2025

Background:
The occurrence of gain of function mutations in STAT5B has been associated to survival,
and drug resistance in Leukemia. In silico screening of compounds having inhibitory potential towards mutated
proteins, can be helpful in the development of specific inhibitors.

Objective:
This study was designed to screen selected JAK-STAT mutations in leukemia patients and virtual exploration
of molecular interaction of potential inhibitors with their mutated products.

Methods:
In total 276 patients were randomly recruited for this study. Demographic and clinical data were summarized.
The genetic status of JAK1V623A, JAK2 S473 and STAT5BN642H were screened through allele specific PCR.
In-silico analysis was performed on wild type and mutant protein sequences retrieved from Protein databank. The
ligands and protein were prepared through standard protocols, and docking was performed through Auto Dock
Vina 1.2.0.

Results:
Acute lymphoblastic leukemia comprises 70% of the total patients. Male to female ratio was 3:1. All the
patients were homozygous for JAK1V623A, JAK2 S473 major allele. However, 6 patients (5 male, 1 female) with
ALL were STAT5BN642H+. The molecular docking of the ligands to wild type and STAT5BN642H+revealed that AC-
4-130, Pimozide, Indirubin and Stafib-2 have higher but differential docking affinities for SH2-domain of both
normal and mutated STAT5B. However, AC-4-130 has a higher affinity for wild type and Stafib-2 has stable
molecular interaction with STAT5BN642H+.

Conclusion:
The aggressive form of pediatric leukemia, carrying STAT5BN642H+ mutation is identified in the
studied population. It is predicted that AC-14-30 and stafib-2 have potential for inhibition of constitutively active
STAT5B if optimized for use in combination therapy.
The Kinesin Eg5 Inhibitor K858 Enhances Radiosensitivity in Esophageal Squamous Cell Carcinoma and Affects the Expression of Epithelial-mesenchymal Transition Related Markers: In vitro and In vivo Studies
Authors: Liu Ruixue , Yu Zhijun , Shen Wenbin , Zhu Shuchai 
Published: February 2025

Background:
Radioresistance is the primary cause of treatment failure in esophageal squamous cell
carcinoma, emphasizing the importance of identifying effective radiosensitizers.

Objectives:
This study aimed to explore the effects and potential mechanisms of Eg5 inhibitor K858 on the radiosensitivity
of esophageal squamous cell carcinoma TE-1 and KYSE150 cell lines, as well as xenografts (TE-1
cells).

Methods:
Cellular function was assessed using CCK8, wound healing, and transwell invasion assays. Radiosensitivity
parameters were derived from colony formation assays. Cell apoptosis and cell cycle were assessed using
flow cytometry, whereas protein expression levels were detected using western blotting and immunohistochemistry.
The xenograft model was used to observe the growth of tumors.

Results:
K858 inhibited the malignant functions of TE-1 and KYSE150 cell lines. Radiosensitivity parameters
were reduced after K858 treatment. The combination of K858 and irradiation markedly suppressed cell proliferation,
induced apoptosis, and stimulated cell cycle arrest during the irradiation-sensitive phase. Additionally,
K858, combined with irradiation, significantly increased the expression of the epithelial-mesenchymal transition
marker E-cadherin and decreased the expression of N-cadherin, vimentin, MMP2, and MMP9. K858, combined
with irradiation, significantly inhibited tumor growth in xenograft models.

Conclusion:
K858 enhanced the radiosensitivity of esophageal squamous cell carcinoma and affected the expression
of epithelial-mesenchymal transition-related markers.
LA SUBTILE FRONTIÈRE ENTRE POLYSÉMIE ET HOMONYMIE
Authors: Miljković Ivana 
Published: February 2025

L’article propose une étude comparative de l’homonymie et de la polysémie. Nous présentons ces deux concepts dans le but d’en mettre en évidence les différences afin de savoir catégoriser les lexèmes, c’est-à-dire savoir distinguer ceux qui relèvent de chacun des deux cadres. À ce titre nous étudions en particulier le lexème cher, pour lequel la question de la classification se pose. La polysémie se caractérise par des sèmes partagés entre les différents sens d’un même lexème, ce qui n’est pas le cas dans le cadre de l’homonymie. Notre méthode, descriptive et contrastive, consiste à associer à chaque lexème étudié des lexèmes ayant des sèmes en commun, puis à examiner les sèmes partagés et à conclure sur la nature homonymique ou polysémique de chaque cas. Sur le plan formel, nous explorons certaines théories contemporaines. Cependant, nous ne négligeons pas la diachronie et l’étymologie, qui sont pertinentes pour notre sujet d’étude.Le mot cher, en français, peut se comprendre de deux façons : soit pour désigner coûteux soit pour désigner aimé. Est-on face à un lexème polysème ou à deux lexèmes homonymes ? Nous soutenons la première hypothèse et l’argumentons, sur la base aussi de l’étymologie et de l’étude de différents dictionnaires.
Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Authors: Amin Ali Omar Mohammed , Hamaamin Rebin Abdulkareem , Kareem Shahab Wahhab 
Published: February 2025

Bearings are essential for spinning machines. An unexpected bearing failure could disrupt production. This study describes a sophisticated method for diagnosing deep groove ball bearing issues. We designed and built an experimental setup to collect precise data in many scenarios, including inner race fault, outer race fault, cage fault, and normal state. Machine learning (ML) and deep learning (DL) algorithms have improved image processing, speech recognition, defect detection, item identification, and medical sciences. Experts anticipate a surge in equipment problems as intelligent machinery becomes more prevalent. Deep learning methods for equipment failure detection and diagnosis have increased steadily. Research papers have used deep learning to study and share open-source and closed source data. The Case Western Reserve University (CWRU) bearing data set identifies abnormalities in machinery bearings. Popularity makes this dataset simple to access. This dataset is 'ideal' for model verification and is widely accepted. This article describes current deep learning research using the CWRU bearing dataset to diagnose machinery faults precisely. Using the CWRU dataset, this article has the potential to be of significant service to future academics who desire to begin their work on the detection and diagnosis of machinery failures. This is our view.This paper focuses on utilizing the CWRU bearing dataset combined with Elastic Weight Consolidation (EWC (algorithm to achieve a notable accuracy of 97.06%. The streamlined approach emphasizes the use of raw data and advanced methodologies, showcasing the significance of achieving high diagnostic accuracy while providing a reliable alternative to conventional fault classification techniques.
Pengaruh Jumlah Penduduk, Pendapatan Asli Daerah, Efisiensi Keuangan, dan Biaya Barang dan Jasa terhadap Kondisi Keuangan Pemerintah Daerah di Indonesia
Authors: Angrainy Chindy , Deviani Deviani 
Published: February 2025

This research aims to determine the influence of population, local original income, financial efficiency, and costs of goods and services on the financial condition of Regional Governments in Indonesia. The research population is all cities/regencies on the island of Java in 2022. This research uses secondary data with documentation techniques. The analysis technique used is multiple linear regression analysis. The results of the research show that local revenue has a positive effect on the financial condition of regional governments on the island of Java. Meanwhile, population, financial efficiency and costs of goods and services have no effect on the financial condition of local governments on the island of Java. This research contributes to increasing insight and knowledge in the field of accounting, especially public sector accounting, regarding what influences influence the financial conditions of local governments.
Implementation and Simulation of a Dynamic Load Balancing Solution for EV Charge Points Utilizing Solar Energy
Authors: Szűcs István , Kopják József , Sebestyén Gergely 
Published: February 2025

Abstract
This paper addresses the integration of solar energy with electric vehicle charge points through a load management and distribution system. It proposes an algorithm that dynamically allocates available power, considering building consumption, electric vehicle charger needs, and real-time photovoltaic system output. The system ensures efficient power distribution and stability. Simulation results demonstrate the algorithm’s effectiveness in optimizing solar energy use, accommodating fluctuating power demands, and reducing costs, thus enhancing the sustainability and efficiency of EV charging infrastructure.
Modeling and Identification of Helicopter Educational Model – Methodology Proposal
Authors: Tkáčik Tomáš , Jadlovská Anna 
Published: February 2025

Abstract
This article deals with the design of a generalized methodology for the identification of nonlinear dynamic systems using a combination of analytical and experimental identification methods. The proposed methodology is divided into modules that can be repeated if necessary. Verification of the methodology is presented on the modified helicopter educational model CE 150 from Humusoft company. A mathematical model of the system with both rotors approximated by a black-box nonlinear model is presented. The proposed experiments for obtaining experimental data are described in detail and are used in the estimation of model parameters. The gray-box model is validated in a control structure with a control law optimized for microcontrollers. Indirect validation of the gray-box model with the real helicopter educational model points to good approximation properties of the gray-box model and its potential for further use in the identification and control using artificial intelligence methods.
Workload negotiations for early and mid-career researchers in an Athena Swan gold-awarded department
Authors: Mathew Ruby Christine 
Published: February 2025

Abstract
In the UK academia, the Athena Swan (AS) Charter, established in 2005 is considered a significant innovation to improve women’s representation in senior positions. While several studies claim a measurable improvement in structural and cultural issues faced by women in AS-accredited universities, studies question the legitimacy of these claims considering persistent gender issues in academia. Using a grounded theory approach, the current study addressed this gap by investigating the impact of AS accreditation on the lived experience of early- and mid-career academics in UK Science, Technology, Engineering, and Mathematics (STEM) subject areas. The findings show the performativity dimension for women who work in these spaces where women are required to undertake additional workload, which disrupts their more rewarding research activities. The added workload for women includes blood work associated with managing emotions, pain, and menstrual bodies in the science lab, as well as mothering responsibilities associated with cleaning and maintaining the lab spaces, and caring and nurturing work associated with pastoral care duties. This study argues that this added workload can have negative implications for women’s careers, which is not reflected in AS workload models.
Human resource development strategies for effectively developing middle managers at global conglomerates to create synergies through cross-business collaboration
Authors: Negishi Yusuke , Li Jessica 
Published: February 2025

Abstract
When corporations develop multiple businesses, they become conglomerates. Companies such as Apple, Google, and Amazon have become emerging conglomerates by expanding their business toward several new fields. Although conglomerates suffer from discounts in the stock market, their productivity and efficiency depend on effectively managing sub-businesses. Conglomerates must synergize through cross-business collaborations, where middle managers play a significant role in strategy realization. However, little research has been conducted on middle managers’ strategic role in the success of conglomerates. This multi-case qualitative study is designed to address this gap. This study reveals that middle managers are important for conglomerates in creating synergies. By developing 11 themes, this study thematically categorizes related development programmes and corporate initiatives for middle managers to create cross-business synergies. Finally, it demonstrates a three-step process for human resource development managers and corporate executives to evaluate whether their human resource development strategies are adequately established. In addition, the results reveal two categories of managerial strategy for middle manager development — collaborative and open/flexible management strategies.
Effect of body condition score loss during the transition period on metabolism, milk yield and health in Holstein cows
Authors: Sun Rui , Jiang Xuejie , Hao Yu , Li Ying , Bai Yunlong , Xia Cheng , Song Yuxi 
Published: February 2025

Abstract

Introduction
This study aimed to investigate the impact of perinatal body condition score (BCS) and its subsequent loss on postpartum performance and health outcomes in dairy cattle.

Material and Methods
A total of 156 cows were randomly selected, and blood samples were collected at –21, 0, 7, 14, 21, 28 and 50 days relative to calving. Milk yield and disease incidence in dairy cows were recorded after calving. These cows were subsequently categorised into three groups based on BCS loss during the transition period: a no-BCS-loss (maintained BCS) group (M, 0 < BCS loss ≤ 0.25), low-BCS-loss group (L, 0.25 < BCS loss ≤ 0.5), and high-BCS-loss group (H, BCS loss > 0.5).

Results
All groups experienced a decline in BCS from 21 days prepartum through 50 days postpartum (P-value < 0.01). Cows in the H group had the highest levels of non-esterified fatty acids, beta-hydroxybutyrate, total cholesterol, aspartate aminotransferase, albumin, malondialdehyde and leptin (P-value < 0.05). Concomitantly, total antioxidant capacity, as well as the levels of insulin and glucose, were the lowest in group H (P-value < 0.05). Plasma concentrations of Ca, P, Mg and K, urea nitrogen and total bilirubin were not significantly influenced by BCS loss (P-value > 0.05). Cows in the M group were less likely to develop ketosis, mastitis, retained placenta, displaced abomasum and metritis than those in the H group, and cows in the H group produced the lowest milk yields (P-value < 0.05).

Conclusion
These observations collectively indicate that BCS loss is associated with measurable changes in energy balance, liver function, oxidative stress, daily milk production and disease incidence during the transition period.
Is Pseudomonas aeruginosa a possible aetiological agent of periodontitis in dogs?
Authors: Targońska-Karasek Małgorzata , Polkowska Izabela , Krukowski Henryk 
Published: February 2025

Abstract

Introduction
Periodontal diseases are the most frequently diagnosed problem in small animal veterinary medicine. Although their exact cause is not fully understood, bacteria play an important role in their development. Pseudomonas aeruginosa is a Gram-negative, rod-shaped, non-spore-forming bacterium. The living environment of this bacterium may be soil and water; however, it can also be found in humans and animals. Antibiotic treatment of periodontitis may be complicated by the carbapenem resistance of some P. aeruginosa strains, if these bacteria are found to be an aetiological agent. The aim of the study was to identify all bacterial strains isolated from dog with periodontitis.

Material and Methods
After a clinical examination of a Schnauzer dog in the Department and Clinic of Animal Surgery in the University of Life Sciences in Lublin Faculty of Veterinary Medicine, periodontitis was diagnosed. A swab was taken from the diseased tissue and submitted for microbiological tests. Microorganisms were initially identified by colony morphology, haemolytic pattern and Gram staining, and subsequently by sensitivity tests, VITEK 2 and matrix-assisted laser desorption/ionisation–time-of-flight.

Results

Pseudomonas aeruginosa was isolated and identified as a probable aetiological factor of periodontitis in dogs.

Conclusion
In our opinion, attention should be paid to Pseudomonas aeruginosa as a possible aetiological factor of periodontal diseases in dogs.
Does Ownership Matter: Nexus Between Entrepreneurial Orientation, Network Capability, Financial Resources Diversity and Financial Performance of HGCs
Authors: Frešer Blaž , Tominc Polona 
Published: February 2025

Abstract

Background/Purpose
This paper aims to analyse the nexus between selected growth determinants and the financial performance of high-growth companies (HGCs) in relation to their ownership. In line with principal-agent theory, we try to determine if the differences exist between managers who are also (co)owners and those managers who are not (co)owners. Also, we analysed if additional equity-based compensation, through different growth determinants, could increase HGC’s financial performance.

Methods
The study was conducted on a sample of 119 HGCs from the Republic of Slovenia and was carried out in 2022. The empirical analysis was performed using regression analysis based on exploratory factor analysis (EFA). Analysis was performed using IBM SPSS Statistics 27 software.

Results
Results showed that considering the importance of organisational networking capability for HGC’s financial performance, there are statistically significant differences between owner-managers and managers, implying that ownership (and equity-based compensations) could positively shape HGC’s financial performance. In addition, results show that when analysing the owners-managers group of HGCs, risk-taking and organisational networking capability positively and statistically significantly impact HGC’s financial performance.

Conclusion
Our paper highlights the importance of organisational networking capability as a growth determinant through which equity-based manager compensations can positively influence HGCs’ financial performance. The study contributes to diverse literature related to HGCs and contributes to relevancy for the policymakers aiming at enabling better financial performance of HGCs.
Creating Normal Numbers Using the Prime Divisors of Consecutive Integers
Authors: Koninck Jean-Marie De , Kátai Imre 
Published: February 2025

Abstract
For each integer n ≥ 2, let p
1
≤ p
2 ≤ ··· ≤ pk
be the complete list of the prime factors of a(n):= n(n+1). Consider the function sn
: {p
1,..., pk
}→ {0, 1} defined by sn
(pj
)= 0 if pj | n and 1 if pj | n + 1. Then consider the binary number h(n) := sn
(p
1) ...sn
(pk
). In an earlier paper, we proved that the number 0.h(2) h(3) h(4) ... is a binary normal number and in fact we proved the more general statement when, for a fixed integer t ≥ 2, we set a(n) := n(n +1) ··· (n + t − 1), thus allowing for the construction of a normal number in base t. Here, we give a much shorter and simpler proof of this result and then we consider a more general result when a(n) is the product of linear functions.
On the Connection Between the Beurling-Malliavin Density and the Asymptotic Density
Authors: Giuliano Rita , Grekos Georges 
Published: February 2025

Abstract
We study the notion of Beurling-Malliavin density from the point of view of Number Theory. We prove a general relation between the Beurling-Malliavin density and the upper asymptotic density; we identify a class of sequences for which the two densities coincide; this class contains the arithmetic progressions. Last, by means of an alternative definition of Beurling-Malliavin density, we study the connection with the asymptotic density for another kind of sequences that again generalizes the arithmentic progressions.
Sumsets with Prescribed Lower and Upper Asymptotic Densities II
Authors: Grekos Georges , Pandey Ram Krishna , Somu Sai Teja 
Published: February 2025

Abstract
We show that for natural numbers h, k, such that k ≥ 2, and for real numbers α
1, α
2, such that 0 <α
1
≤ α
2 < 1, there exists a subset A of ℕ = {0, 1, 2,... }, such that for all finite subsets B of ℕ such that max B − min B = h, the lower and upper asymptotic densities of kA + B are α
1 and α
2, respectively.