bluuebunny/crossref_metadata_2025_split huggingface dataset:
Successful living donor kidney transplantation in a 14-year-old boy with Fontan circulation
Authors: Okada Satoshi , Kamei Koichi , Nishi Kentaro , Ogura Masao , Ono Hiroshi , Sakamoto Seisuke 
Published: February 2025

Abstract

We report a successful living donor kidney transplantation (KT) in a 14-year-old boy with Fontan circulation. He was diagnosed with complete transposition of the great arteries (type 3) at birth. After Blalock–Taussig shunt placement, he developed acute kidney injury, which recovered to stage 4 chronic kidney disease. At 2 years old, he underwent a single-stage Fontan procedure to reduce the number of surgeries. At 7 years old, he started peritoneal dialysis. At 13 years old, the feasibility of KT was evaluated using preoperative cardiac catheterization with fluid loading, revealing that adequate systemic perfusion could be maintained during KT. Following a multidisciplinary preoperative assessment, KT was successfully performed under meticulous hemodynamic monitoring. At 1 year post-KT, the patient showed good kidney function (estimated glomerular filtration rate: 78 mL/min/1.73 m²). This case demonstrates that selected patients with Fontan circulation can safely undergo KT through appropriate preoperative assessment and perioperative management.
Muscle stiffness among musicians with and without playing-related musculoskeletal disorders: a cross-sectional study
Authors: Cruder Cinzia , Schönhofer Pia , Schneebeli Alessandro , Vercelli Stefano , Barbero Marco 
Published: February 2025

Abstract

Increased muscle stiffness (MS) in the upper trapezius (UT) has been shown to correlate with pain in some populations. However, knowledge regarding altered MS in musicians affected by playing-related musculoskeletal disorders (PRMDs) remains limited. The primary aim of this study was to investigate whether MS is altered in musicians with PRMDs. A further aim was to explore associations between MS and musicians’ features. A total of 60 musicians from the Conservatory of Southern Switzerland and the Orchestra della Svizzera italiana participated in the study. The assessment procedure included a self-reported questionnaire on background and lifestyle, practice habits, PRMDs, physical activity and perceived health, along with a bilateral evaluation of MS in the UT using the MyotonPRO (Muomeetria, Tallinn, Estonia). Of the 60 participants, 28 musicians (47%) reported ongoing PRMDs, with a higher pain prevalence in the UT, especially on the left side. MS in the UT did not differ significantly between musicians with and without PRMDs. However, positive correlations were observed between MS and perceived effort, and between MS and playing-related disability. Conversely, a negative correlation was found between MS and the physical component of perceived health, as well as preparatory exercises and breaks during playing practice. Although no significant difference was found between PRMD and non-PRMD groups, statistically significant correlations between MS and certain musicians-related features were detected. Being the first study that explored MS among musicians, further research is needed within the musical and scientific community, particularly employing a longitudinal design to observe and monitor musicians over time.
An Epidemiological Study of Root Number, Length, and Canal Morphology in Extracted Mandibular Premolars from Adolescent Patients in Damascus
Authors: Tolibah Yasser Alsayed , Aljabban Osama , Bshara Nada 
Published: February 2025

Abstract

Objective: This study aimed to evaluate the root number, length, and root canal anatomy of extracted mandibular premolars (MPs) from adolescents in Damascus.Materials and Methods: Immediately after extraction, the root number and maximum length were recorded. Each MP was then radiographed in buccolingual and mesiodistal directions using digital periapical radiographs, and the root canal morphology was classified based on Vertucci's classification. Subsequently, the previous findings were correlated with the patient's gender, and statistical analysis was performed using the Chi-Square test and T-test in the SPSS program.Results: The sample included 216 first MPs and 132 second MPs. No significant differences were found between males and females regarding the frequency of one, two, or three roots. Most premolars had a single root. The mean length of the first MP was 21.9 mm, and the second MP was 21 mm, with males generally having longer MPs than females. There were no significant gender differences in the distribution of Vertucci types across MPs. Type I was the most common root canal configuration, followed by Type V. While Types IV and V were similarly prevalent in second MPs, Type V was more common in first MPs.Conclusion: Variations in root number and canal classifications are evident in MPs. Although gender does not influence the root number or canal morphology, males tend to have longer MPs.
Methanol biotransformation for the production of the biodegradable plastic monomer L-lactate in yeast
Authors: Zhou Yongjin , Yu Wei , Zhang Chenyue , Li Yunxia , Chen Qing-An , Fei Qiang , Gao Jiaoqi 
Published: February 2025

Abstract

Methanol is an ideal feedstock for biomanufacturing that can be produced from CO2 in massive quantities. Methanol biotransformation to promote the production of the biodegradable plastic monomer lactate is a promising approach for mitigating white pollution in a carbon-neutral manner. However, it is still challenging to engineer microbes for lactate production from methanol because of the strong competition between product synthesis and cell growth. Here, we extensively modified the methylotrophic yeast Ogataea polymorpha to synthesize L-lactate from methanol alone and found that the cofactor ratio of NADPH/NADP+ was higher than that of NADH/NAD+ during methanol metabolism. By engineering the gene expression and cofactor preference levels of lactate dehydrogenase, enhancing cell viability, modifying cofactor homeostasis, and performing mitochondrial compartmentalization, 2.5 g/L L-lactate was produced from 10 g/L methanol in a shake flask. Fed-batch fermentation in a 1 L bioreactor resulted in the highest yield of 25.0 g/L L-lactate from methanol, which was chemically synthesized from CO2 with a yield of 0.22 g/g. A technoeconomic analysis and life cycle assessment were performed to evaluate the commercial potential of CO2-derived L-lactate, its environmental impacts, and its greenhouse gas mitigation performance. This study could lay the foundation for the carbon-neutral production of biodegradable plastic polylactic acid from CO2, thus establishing a circular economy.
Distinct role of virulence and antimicrobial resistance on mortality within a large Klebsiella spp. cohort
Authors: Liu Chao , Tang Yunfei , Yang Ping , Zheng Jiajia , Yi Juan , Jiang Fan , Lu Ming , Du Pengcheng , Shen Ning 
Published: February 2025

Abstract

Background.
Klebsiella spp. is emerging in various clinical infections. However, the clinical, genomic and socio-economic characteristics of Klebsiella spp. have not been systematically characterized in high-risk regions.
Methods.
A six-year longitudinal cohort study was performed. The demographic information, permanent residence, medical insurance, underlying diseases, infection type and mortality at 14-, 28-, 90-day were collected. Sequence type (ST), plasmid replicons, antimicrobial resistance genes, virulence genes and phylogenetic relationships were identified by whole genome sequencing. Isolates carried any combination of rmpA, rmpA2, iroB, peg-344 and iucA were identified as hypervirulence (HV).
Results.
A total of 1628 cases and isolates were enrolled and the mortality in 14-, 28- and 90-day was 10.9%, 16.4% and 24.6%, respectively. Among the cases, 87.8% (1429/1628) were infected by Klebsiella pneumoniae (Kp), which represented significantly higher mortality rates compared to those infected by other subspecies at 14-day (12.0% vs 3.0%, P < 0.001), 28-day (17.6% vs 7.8%, P = 0.002) and 90-day (26.2% vs 12.7%, P = 0.001). Virulence factors were key determinants of short-term mortality, with the iroB (OR = 1.600) and a higher virulence score (OR = 1.182) as independent risk factors. In contrast, the IncR (OR = 1.738) and resistance score>1 (OR = 2.742) were closely associated with long-term mortality, highlighting the essential role of antimicrobial resistance. Although the prognosis varied across different STs, ST11 showed a great increase in 90-day mortality. Importantly, a novel variant, ST11-KL25 harboring blaCMY, emerged and over half of its infections resulted in 90-day mortality.
Conclusions.
Virulence was a key determinant of short-term mortality, while antimicrobial resistance contributed to long-term mortality of the Klebsiella spp. cohort. Endemic ST11 and its new variants play an important role in increased mortality.
Single Phase Grid Connected Solar Charging Station For Electrical Vehicles Using ANFIS-Neural Network Control Approach
Authors: N Shanker , K.Srinivasa  , E Srilakshmi 
Published: February 2025

Abstract

This work presents a new system architecture for low-cost photovoltaic (PV) battery charging stations that can balance: 1) the cumulative charging time of each battery and 2) the overall charging time of all battery power sources. The new system's first control strategy is to rapidly charge each battery at the same voltage or SOC level before charging multiple batteries in parallel at the same time. The solar PV system is integrated with ANFIS MPPT to extract maximum power. From the PV module, the static battery storage and the EV battery are controlled by a feedback voltage control scheme to maintain a constant DC bus voltage. The neural network means that the NN receives two inputs: PV power and Soc of constant battery and the generated output is the actual current reference signal of grid inverter control. The simulations are then discussed under,several situations where the radiation conditions change and the,battery remains constant and EVs have different social,EV charging stations where the energy is processed successfully,using neural networks.
Gestaltung eines Chatbot-Playground zur Kompetenzförderung von Hochschullehrenden
Authors: Beyer Steven , Wrede Silke , Hoffmann Christine , Schulmann Christine 
Published: February 2025

Der Einfluss Künstlicher Intelligenz (KI) in Hochschulen steigt stetig und Lehrende sind aufgefordert, sich den Anforderungen im Umgang mit KI-Anwendungen (z. B. Chatbots) zu stellen. Um Raum für die Auseinandersetzung mit diesen neuen Anforderungen und das Experimentieren mit KI-Anwendungen zu geben, hat ein Team aus verschiedenen Fachbereichen ein Online-Selbstlernangebot zur Entwicklung eines Chatbots für das wissenschaftliche Arbeiten konzipiert. Die Konzeption orientiert sich an Design-Thinking-Prozessen. Das Angebot steht exemplarisch für die Vision einer Experimentierumgebung für Lehrende.
Forschungsnahes Lernen zum berufsspezifischen Einsatz von generativer KI
Authors: Clincy Miriam 
Published: February 2025

Generative KI stellt Hochschullehre vor Herausforderungen, die disruptiven Charakter haben: Lehrende müssen Lernende auf einen Arbeitsmarkt vorbereiten, in dem KI eine unverzichtbare Rolle spielen wird, ohne dass sie auf eigene Erfahrungen zurückgreifen können. Als methodischer Zugang bietet es sich an, den Studierenden über Elemente des forschungsnahen Lernens den Freiraum zu eröffnen, Anwendungsgebiete in einem geschützten Rahmen selbst zu explorieren, d. h. (generative) KI mit Bezug zum eigenen Berufsalltag zum Forschungsgegenstand zu machen. Beispielhaft wird eine Umsetzung aus der Technikdidaktik in der ersten Phase der Lehrkräfteausbildung beschrieben.
Analysis of inverse kinematics and trajectory errors in robotic arm motion
Authors: Susilo Sugeng Hadi , Nur Huda Muhammad Arief 
Published: February 2025

The object of research: Robot arm performance analysis 6 degrees freedom for automatic welding applications. Robot arm, built from 1010 aluminum, has six joints driven by motor stepper nema 23 and Nema 17 with various transmission systems to ensure proper movements. Controlled by the Arduino Mega 2560, this system integrates Stepper Motor Drivers, 24V Power Supplies, and rotary encoder for monitoring of real time connections.
Investigated problem: Analyze the inverse kinematics, trajectory planning, and capability process of a robotic arm for automated welding applications. Inaccuracy and trajectory errors in the movement of robot arm when doing automatic welding tasks. The transition from manual welding to the automatic system faces the main challenges in achieving precise movement control, especially in maintaining the stability and accuracy of the welding path. Although various studies have developed advanced and reverse kinematics approaches to optimize the movement of robot arm, there is still a difference between the simulation and experimental results in terms of position and end-effector orientation. Errors in the joint angle estimation and trajectory execution can cause deviations in the welding path, which affect the quality of welding joints and production efficiency.
The aim of this study was to analyze the inverse kinematics, trajectory planning, and capability process of a robotic arm for automated welding applications.
The main scientific results: It showed a difference between reversed kinematics solutions and simulations, with joint angular errors 2, 3, and 5 ranging from 0.98º -2.7º. The movement of the robot arm when welding is quite smooth, but there is still an average trajectory error of 2.25 mm on the X axis and 10.57 mm on the Y axis.
The area of practical use of the research results: The robotic welding systems by integrating inverse kinematics and trajectory planning algorithms with an Arduino 2560 microcontroller.
Innovative technological product: The developed are robot arm control systems with 6 freedom degrees of Arduino 2560, equipped with a rotary encoder sensor to increase the accuracy of movement. This system allows more precise path control through more optimal planning, so as to produce a more consistent and high-quality welding connection.
Scope of the innovative technological product: The automotive manufacturing industry, shipbuilding, and metal production that requires welding with a high precision level.
Agricultural development as a factor in ensuring food security in Kazakhstan
Authors: Sholpanbayeva Kanshaim , Apysheva Assel , Baiguzhinova Alma 
Published: February 2025

The object of research: The current state of agriculture in the country and identify key areas for improving agricultural policies that contribute to ensuring food security for the nation.
Investigated problem: The problem that the study is aimed at solving is related to the development of agriculture in Kazakhstan, on the effectiveness of which the possibility of ensuring national food security largely depends.
The main scientific results: The role of agriculture in ensuring the food security of Kazakhstan is shown. The essence of the concept of «food security» is revealed, taking into account the point of view of different authors. The main factors determining the level of development of the country's food security have been identified.
The area of practical use of the research results: The practical significance of this research is in the potential application of the theoretical findings and practical recommendations derived from the work in the operations of national and regional governments in the development and implementation of policy documents related to addressing the issue of food security and import substitution.
Innovative technological product: Based on the conducted research, the following recommendations were identified and made aimed at ensuring food security in Kazakhstan: reducing the property stratification of the population; developing cooperation in animal husbandry and crop production; and implementing a policy of import substitution in agriculture.
Scope of the innovative technological product: The research results can be used in the development of agricultural development programs both in the country as a whole and in individual regions
NADPH Oxidase: A Potential Therapeutic Target to Reduce Primary Sclerosis Cholangitis Following Liver Transplantation
Authors: Aliakbarian Mohsen , Ashrafzadeh Kiarash , Ferns Gordon A , Hadian Reyhaneh , Khodashahi Rozita , Arjmand Mohammad-Hassan 
Published: February 2025

Abstract:
The molecular mechanisms and causes of primary sclerosis cholangitis (PSC)
post-liver transplantation are still unclear. PSC is a progressive cholestatic hepatobiliary
disease that happens in about 25% of patients post-liver transplantation and requires re--
transplantation. Nicotinamide adenine dinucleotide phosphate oxidase (NADPH oxidase
or Nox) is a family of transmembrane proteins whose main function is producing reactive
oxygen species (ROS). ROS generation as a result of NADPH oxidase activity of
Kupffer cells and polymorphonuclear leukocytes has been implicated in the pathogenesis
of ischemia-reperfusion injuries after liver transplantation, and is related to intraand/
or extrahepatic non-anastomotic biliary stenosis or PSC. In addition, Nox-derived
ROS upregulates several molecular pathways to induce hepatocyte apoptosis and hepatic
stellate cell (HSC) activation to promote hepatobiliary fibrogenesis. Understanding
the multiple molecular aspects of Nox in the development of PSC post-transplantation
may help identify new drugs to prevent this disorder.
Biochanin-A: A Potential Candidate for the Treatment of Alzheimer’s Disease
Authors: Singh Niraj Kumar , Bhushan Bharat 
Published: February 2025

Abstract:
Alzheimer's disease (AD), the most common form of dementia, is a multifactorial
neurological condition characterized by progressive loss of memory and learning, uncontrollable
movement, difficulty processing visual images, and impairment of reasoning and/or judgment
skills. Although the exact cause of AD is still unknown, recent evidence suggests that environmental,
lifestyle, and genetic factors are common contributors to the disease's progression. Pathophysiological
features of AD include amyloid beta (Aβ) accumulation, abnormal deposition of
neuritic plaques and neurofibrile tangles, cholinergic dysfunction, neuroinflammation, and oxidative
stress burden along with mitochondrial dysfunction. There are currently no pharmaceutical
methods or medications that can stop the progression of a disease. More attention is now
being paid to natural products, herbal medicines, and different bioactive phytoconstituents, particularly
flavonoids, as alternative therapies and useful resources for finding new drug candidates
for the treatment of AD-like symptoms. A dietary isoflavone, biochanin-A, which is isolated
from the leaves and stems of Trifolium pretense L. (family: Leguminosae), possesses remarkable
anti-inflammatory and antioxidant properties along with cognitive-enhancing effects.
Biochanin-A exhibits notable neuroprotective effects by reducing Aβ deposition, decreasing
apoptosis, and preventing the production of pro-inflammatory mediators, including TNF-α, IL-
1β, and NO. Various preclinical reports explore the pharmacological role of biochanin-A against
experimentally-induced AD and highlight that it can alter numerous signaling pathways, including
Nrf2, NF-κB, JNK, MAPK, and Bcl-2/Bax. The present review article summarizes the numerous
research studies that have evaluated the role of biochanin-A for dementia associated
with AD. As part of a comprehensive program, biochanin-A has very exceptional potential to
prevent and treat AD-related cognitive impairment. It is envisaged that these potential chemical
moieties can be employed in the drug discovery process to identify efficacious and safe therapy
for the treatments for AD-like manifestation.
Cytokine Gene Variants as Risk Predictors and Prognostic Biomarkers for Cervix Cancer: A Revisit
Authors: Kushwah Atar Singh , Gupta Maneesh Kumar , Srivastava Kirti , Banerjee Monisha 
Published: February 2025

Abstract:
Cervix cancer is the most frequent cancer among women worldwide. Chronic HPV infections
can lead to the induction of immune tolerance, where the immune system becomes less responsive
to the virus over time. This can allow the virus to persist and establish a long-term infection. Initially,
HPV modulates various components of the innate immune system, including interferon signaling
pathways. By interfering with innate immune responses, HPV can further dampen the host's ability
to mount an effective antiviral immune response. The genetic alterations in these cytokines contribute
to altered cytokine production, which may influence the severity of infection and cancer development.
Platinum-based chemo-radiotherapy is the only first-line treatment available for cervix
cancer. Chemoradioresistance with variable toxicity is the major challenge in clinical practices. Individual
genetic makeup determines their disease development and variable treatment response. Hence,
interindividual-based genetic biomarkers need to develop to better cancer prognosis. Biomarkers can
predict the risk of disease and help to take precautionary measures and delay the onset of the disease.
Previous studies reported that genetically altered IL-1RN, IL-1b, IL-6, and TNF-α associated with
cervix oncogenesis, and these could be a potential prognostic marker of cervix cancer.
Integrative Analysis of the Impact of Prenatal Depression on the Newborn Intestinal Microbiota
Authors: Taha Wafaa , Anachad Oumaima , Taouil Amine , Saadoune Chaimaa , Messal Mariame El , Bennis Faiza , Chegdani Fatima 
Published: February 2025

Background:
More than 15% of women develop symptoms of depression during pregnancy,
which often affects the mental and physical development of the newborn by altering its intestinal
microbiota. Previous studies revealed that the gut microbiota plays a crucial role in the
maturation of systems involved in the gut-brain axis, including the gastrointestinal system, the immune
system, and the hypothalamic-pituitary-adrenal system axis.

Methods:
This study aims to explore the cross-talk between the prenatal depression process and
neonatal intestinal microbiota diversity. A total of 100 differentially expressed genes (DEGs) associated
with prenatal depression were collected from various scientific publications and databases.
Bioinformatics tools were used to analyze these DEGs. The STRING database. ToppGene database
and DICE were employed for this integrative analysis.

Results:
The network generated by the STRING database identified six pivotal genes: TNF, BDNF,
IL-6, NR3C1, IGF2, and POMC. These genes regulate response to endogenous hormones, particularly
cortisol secretion in newborns, as well as inhibiting serotonin secretion. Moreover, these
genes are linked to major depressive disorder and other mental diseases, contributing to maternal
and neonatal gut microbiota dysbiosis. Analysis using ToppGene and DICE’s further validated the
biological processes identified by String, including the regulation of cellular cortisol secretion,
metabolic processes, and serotonin inhibition.

Conclusion:
The bioinformatics tools employed in this study allowed us to identify pivotal genes
involved in prenatal depression, their associated signaling pathways, and their roles in modulating
maternal and neonatal gut microbiota.