bluuebunny/crossref_metadata_2025 huggingface dataset:
Implantable Cardioverter Defibrillators in Prevention of Sudden Cardiac Death in Kidney Transplant Recipients: A Case Series and an Appraisal of Current Evidence
Authors: Juric Ivana , Katalinic Lea , Furic-Cunko Vesna , Jelakovic Bojan , Basic-Jukic Nikolina
Published: September 2024

Background: Cardiovascular diseases, including sudden cardiac death (SCD), are the leading cause of mortality among kidney transplant recipients (KTRs). While implantable cardioverter defibrillators (ICDs) are established for SCD prevention in the general population, data on the benefits in patients with CKD is scarce and controversial, and there is no established general consensus on their use in this group of patients. Furthermore, data for KTRs are lacking. The aim of this study is to present our experience with ICDs in KTRs and evaluate the outcomes in this population. Methods: We retrospectively analyzed medical records of KTRs who received a kidney allograft between October 1973 and December 2023 and received ICDs for the prevention of SCD. Results: Of 2282 KTRs, 10 patients (0.44%) underwent an ICD implantation with an average age of 60.6 years at the time of implantation; 9 were male. Primary prevention of SCD was the most common indication, with only one patient receiving an ICD following sudden cardiac arrest. The female patient received an ICD while on dialysis, and the rest of the patients received ICDs in the posttransplant period with an average time of 9.1 years after KT. Kidney allograft function was reduced in all patients at the time of the ICD implantation with an average estimated glomerular filtration rate (eGFR) of 44 mL/min/1.73 m2. No ICD-related complications were recorded. Six patients are alive with an average follow-up of 5.2 years. Conclusions: ICD implantation in carefully selected KTRs may offer survival benefits and can be a valuable tool in preventing SCD. Larger studies are needed to confirm these findings and establish clear guidelines for ICD use in this specific population.
Impact of the Disc Vacuum Phenomenon on Surgical Outcomes in Lumbar Spinal Stenosis: A Comparative Study between Endoscopic Decompression and Minimally Invasive Oblique Lateral Interbody Fusion
Authors: Lee Hyung Rae , Lee Kun Joon , Lee Seung Yup , Yang Jae Hyuk
Published: September 2024

Objective: This study investigated the influence of the vacuum phenomenon (VP) on surgical outcomes in patients with lumbar spinal stenosis, comparing minimally invasive oblique lateral interbody fusion (MIS OLIF) and endoscopic decompression. Methods: A cohort of 110 patients diagnosed with lumbar spinal stenosis underwent either endoscopic decompression or MIS OLIF. Patients were classified into two groups based on the presence or absence of the VP on preoperative CT scans, non-VP (n = 42) and VP (n = 68). Radiologic and clinical outcomes, including back and leg pain assessed using the visual analogue scale (VAS), the Oswestry Disability Index (ODI), and the EuroQol-5 Dimension (Eq5D), were compared pre- and postoperatively over a 2-year follow-up period. Results: Preoperatively, the VP group exhibited significantly greater leg pain (p = 0.010), while no significant differences were observed in back pain or the ODI between the groups. In the non-VP group, decompression and fusion yielded similar outcomes, with decompression showing a better ODI score at 1 month (p = 0.018). In contrast, in the VP group, patients who underwent fusion showed significantly improved long-term leg pain outcomes compared to those who underwent decompression at both 1-year (p = 0.042) and 2-year (p = 0.017) follow-ups. Conclusions: The VP may indicate segmental instability and may play a role in the persistence of radiculopathy. Fusion surgery appears to offer better long-term relief in patients with the VP, whereas decompression alone is a viable option in non-VP cases. These findings suggest that the VP may be a useful factor in guiding surgical decision-making.
Physical Activity and Cognitive Impairment in a Group of Adults with Down Syndrome from North-Eastern Romania
Authors: Lefter Nicoleta , Abdulan Irina Mihaela , Maștaleru Alexandra , Leon Maria-Magdalena , Rusu Cristina
Published: September 2024

Background: Down syndrome (DS) is the most prevalent chromosomal condition, with the average life expectancy significantly rising from 25 years in 1983 to 60 years in 2020. People with DS generally can participate in most physical activities that individuals without the disability can, despite some physical limitations. However, the varying degrees of cognitive deficits can present challenges when it comes to performing physical activities. Methods: We conducted a prospective, cross-sectional study in the Cardiovascular Rehabilitation Clinic from the Clinical Rehabilitation Hospital from Iași, Romania, between July 2022 and February 2024 that included 28 patients diagnosed with DS. We collected data regarding age and comorbidities and performed several tests (MMSE, timed-up-and-go test, and handgrip strength). Results: The group consisted of 11 (39%) females and 17 (61%) males with a mean age of 28.07 ± 9.51 years. The weight profile of the study group differed according to the degree of physical activity: 62.50% of those with moderate physical activity were moderately overweight, while 75% of those with minimal activity were overweight or obese. The muscle strength and MMSE score was higher in the group of patients who performed moderate physical activity. Regarding comorbidities, there was a statistically significant difference in the percentage of patients with hearing loss among those with minimal physical activity. Conclusions: Our results provide an update on the very limited data available. The study indicates that people with DS are generally less physically active and face unique health challenges (hearing loss, intellectual disabilities, and osteoarticular pathologies).
Comorbid Hypothyroidism and Low-Alanine Aminotransferase-Associated Sarcopenia Associated with Shortened Survival: A Retrospective Study of 16,827 Patients over a 21-Year Period
Authors: Segal Omer , Khoury Rabia , Vaisman Adva , Segal Gad
Published: September 2024

Background: Hypothyroidism is very common worldwide. It is known to be associated with frailty which, in turn, is associated with increased morbidity and mortality in the elderly. Low ALT blood activity is an established marker for sarcopenia and frailty. The incidence and outcomes of the association between low ALT values and hypothyroidism, as manifested in elevated blood TSH levels, is unknown. The objective of this study was to assess if low ALT values could improve the prediction of clinical outcome in hypothyroid patients. Methods: This was a retrospective analysis of hospitalized patients in a large, tertiary hospital. Results: Over a period of 21 years, an overall population of 16,827 patients were identified as eligible to participate in this study. Within the study population, 726 (4.3%) were classified as suffering from hypothyroidism (TSH values > 6 MIU/L) and 2184 (13%) were classified as patients with sarcopenia (ALT < 12 IU/L). Within our patient population, hypothyroidism was associated with sarcopenia in a statistically significant manner (p = 0.011). Patients classified as suffering from both hypothyroidism and sarcopenia had significantly shorter survival: A multivariate analysis showed that the frail and hypothyroid group of patients had a statistically significant risk of mortality in the next 5 years (HR = 3.6; CI 2.75–4.71; p < 0.001). Conclusions: Sarcopenia and frailty are common comorbidities, bearing negative long-term clinical outcomes. Low ALT values could serve as a useful biomarker for screening of patients already diagnosed with hypothyroidism.
Neurosurgery and Spine Surgery: From Up-to-Date Practitioners, From the Past to the Present
Authors: Visocchi Massimiliano
Published: September 2024

The Special Issue titled “Neurosurgery and Spine Surgery: From Up-to-Date Prac-titioners” provides a comprehensive overview of the latest advancements and best practices in the fields of neurosurgery and spine surgery [...]
Exergames and Immersive Virtual Reality as a Novel Therapy Approach in Multiple Sclerosis: Randomised Feasibility Study
Authors: Rodríguez-Fuentes Gustavo , Ferreiro-Gómez Elena , Campo-Prieto Pablo , Cancela-Carral José Mª
Published: September 2024

Background: Multiple sclerosis is a chronic, inflammatory, neurodegenerative autoimmune disease caused by myelin loss in the central nervous system, which leads to motor and non-motor problems. The main objective of this study was to explore whether an immersive virtual reality (IVR) exercise programme would be feasible as a form of physical therapy for people with MS (pwMS). Methods: 18 participants (13 women; 45.06 years) were assigned to an experimental group (EG, n = 8) and a control group (CG, n = 10). The EG took part in a twice-weekly IVR exergame physical therapy programme—ExeRVIEM programme. A randomised, single-blind clinical trial was conducted and was registered in clinicaltrials (NCT05870254). Results: The intervention was feasible and safe. The participants completed the programme with no adverse effects (no symptoms on the Simulator Sickness Questionnaire), high usability (System Usability Scale 90.31%), and outstandingly positive post-game experiences (Game Experience Questionnaire 3.10/4). In addition, the GE significantly improved several of their functional capacities: increased lower limb strength (Five Times Sit-to-Stand Test p = 0.042), improved functional mobility, and reduced fall risk (Timed Up and Go Test-simple p = 0.009; Timed Up and Go Test-cognitive p = 0.003). There were no statistically significant differences between the groups. Conclusions: The findings support that the use of exergames and IVR as physical therapy in pwMS is feasible and safe. Furthermore, there is the suggestion of possible benefits to participants’ functional abilities, all of which position IVR as a promising tool for the rehabilitation of this neurodegenerative pathology affecting young adults.
SARS-CoV-2 Vaccination Coverage in Italian Children with Celiac Disease
Authors: Pepino Carlotta , Malerba Federica , Biagioli Valentina , D’Ambrosio Talia , Zampatti Noemi , Canzoneri Francesca , Ferro Jacopo , Crocco Marco
Published: September 2024

Background: Celiac disease (CD) is the most common multisystemic autoimmune disorder affecting the pediatric population. However, little data is available regarding SARS-CoV-2 vaccination coverage in pediatric patients with CD. This study aims to evaluate the adherence to national recommendations for SARS-CoV-2 vaccination in children and adolescents with CD and its variation over time. Methods: We retrospectively analyzed medical charts and electronic registry records of SARS-CoV-2 vaccination of patients aged 0–19 years diagnosed with CD in a tertiary center. The vaccination coverage was evaluated according to age groups (young children, children, and adolescents), considering the patients’ eligibility for vaccination at different times. Results: Among the 172 patients enrolled, 44.8% received at least one dose of the SARS-CoV-2 vaccine, showing no significant differences compared to the Italian population of similar age. Vaccination coverage demonstrated a progressive reduction after an initial peak (up to 65.5% in December 2021) concomitant with a gradual extension of vaccinable eligibility and falling SARS-CoV-2 infections. Histological diagnosis and the presence of other associated autoimmune diseases were associated with higher levels of adherence to vaccination. Conclusions: Adherence to the SARS-CoV-2 vaccination in young Italian children with CD was very low, while it was better in adolescents and patients with other associated autoimmune diseases. Vaccine hesitancy remains a concern, particularly among those diagnosed using the biopsy-sparing approach. Hesitancy increased during the pandemic period, suggesting the need for ongoing efforts to improve adherence to SARS-CoV-2 vaccination recommendations.
Screening for Hypoglycaemia Risk and Medication Changes in Diabetes Patients Using Pharmacy Dispensing Data
Authors: Cahyaningsih Indriastuti , Asiri Amal , de Vos Stijn , Bos Jens H. J. , Schuiling-Veninga Catharina C. M. , Taxis Katja , Denig Petra
Published: September 2024

Background: To improve hypoglycaemia management in primary care, more insight is needed into the opportunities to screen for hypoglycaemia risk and subsequent treatment modification using routinely available data. Our primary aim was to assess the number of diabetes patients with an estimated high risk of hypoglycaemia and describe the treatment changes in these patients using pharmacy dispensing data. Additionally, our aim was to investigate patient characteristics associated with such treatment changes. Methods: A drug utilisation cohort study with a 1-year follow-up using the IADB.nl pharmacy database was conducted. Patients aged 35 years or older who received at least two glucose-lowering medication dispensings in 2019 were included. Hypoglycaemia risk was determined using a validated algorithm based on patient demographics and dispensing data. The hypoglycaemia risk score ranged between 0 and 1. The anniversary method was used to evaluate treatment changes after 1 year. Factors associated with treatment changes were assessed by multinomial logistic regression. Results: Around one-quarter (26.9%) of the 36,628 included patients had a hypoglycaemia score of 0.6 or more. After a 1-year follow-up, the majority of these patients (88.9%) experienced no diabetes treatment changes. De-intensification was observed for 8.8% and intensification for 2.3%. Having a high-risk score, being female, and being younger in age were associated with de-intensification. Conclusions: A substantial number of primary care patients using glucose-lowering medications appear at risk of hypoglycaemia, whereas few of them undergo medication de-intensification. Pharmacy dispensing data can be helpful in screening for diabetes patients in whom a review of treatment is indicated.
Preparation, Mechanical Properties, and Degradation Behavior of Zn-1Fe-xSr Alloys for Biomedical Applications
Authors: Peng Wen , Lu Zehang , Liu Enyang , Wu Wenteng , Yu Sirong , Sun Jie
Published: September 2024

As biodegradable materials, zinc (Zn) and zinc-based alloys have attracted wide attention owing to their great potential in biomedical applications. However, the poor strength of pure Zn and binary Zn alloys limits their wide application. In this work, a stir casting method was used to prepare the Zn-1Fe-xSr (x = 0.5, 1, 1.5, 2 wt.%) ternary alloys, and the phase composition, microstructure, tensile properties, hardness, and degradation behavior were studied. The results indicated that the SrZn13 phase was generated in the Zn matrix when the Sr element was added, and the grain size of Zn-1Fe-xSr alloy decreased with the increase in Sr content. The ultimate tensile strength (UTS) and Brinell hardness increased with the increase in Sr content. The UTS and hardness of Zn-1Fe-2Sr alloy were 141.65 MPa and 87.69 HBW, which were 55.7% and 58.4% higher than those of Zn-1Fe alloy, respectively. As the Sr content increased, the corrosion current density of Zn-1Fe-xSr alloy increased, and the charge transfer resistance decreased significantly. Zn-1Fe-2Sr alloy had a degradation rate of 0.157 mg·cm−2·d−1, which was 118.1% higher than the degradation rate of Zn-1Fe alloy. Moreover, the degradation rate of Zn-1Fe-xSr alloy decreased significantly with the increase in immersion time.
Connectedness and Shock Propagation in South African Equity Sectors during Extreme Market Conditions
Authors: Lawrence Babatunde S. , Obalade Adefemi A. , Doorasamy Mishelle
Published: September 2024

This study examined the connectedness and propagation of risk in the South African equity sectors during the Global Financial Crisis (GFC), the European Debt Crisis (EDC), the US–China trade war, and the COVID-19 pandemic. Daily returns of nine Johannesburg Stock Exchange (JSE) super sectors were examined from 3 January 2006 to 31 December 2021. Applying the connectedness matrix and time-varying parameter vector autoregressive (TVP-VAR) model, in full sample and sub-periods, the study showed that dynamic total connectedness of the super sectors is high in absolute form (62%). Furthermore, it was found that the highest volatility connectedness was during the EDC (68.83%) and during the COVID-19 pandemic (68.57%), followed by the GFC (63.16%) and lastly the US–China trade war (42.09%), respectively. This suggests that the tendency for a systemic risk is highest during the EDC, COVID-19, and GFC periods, and lowest during the US–China trade war. The financial sector was the primary net-transmitter of shocks during the COVID-19 period, while the automobile and parts sector was the strongest net-transmitter of shocks during the GFC, EDC, and US–China trade war. Similarly, the strongest net recipient of shocks during GFC, EDC, and COVID-19 is the chemical super sector. The study concludes that there is a significant volatility connectedness among JSE super sectors. In addition, the JSE super sectors exhibit time-varying connectedness during extreme events. Moreover, the net-transmitter and net-receiver of shock do not change significantly during different crisis periods. The policy implications of the findings are highlighted in the concluding section.
The Next-Generation Shopper: A Study of Generation-Z Perceptions of AI in Online Shopping
Authors: Bunea Ovidiu-Iulian , Corboș Răzvan-Andrei , Mișu Sorina Ioana , Triculescu Monica , Trifu Andreea
Published: September 2024

This study explores the impact of artificial intelligence (AI) tools on the purchase intentions of members of Generation Z (Gen Z) in online shopping, using an adapted technology acceptance model (TAM). It incorporates exposure to AI, usage of AI, and knowledge about AI, alongside the existing TAM parameters of perceived usefulness of AI (PUAI) and perceived ease-of-use of AI (PEUAI). A 38-item questionnaire was distributed, yielding data from 1128 Gen Z respondents. Partial least squares structural equation modeling (PLS-SEM) and importance–performance analysis (IPA) were applied to examine the hypothesized relationships. The study identified significant direct effects of exposure, use, and knowledge on PUAI and PEUAI, and that these effects affected consumers’ purchase intentions. Indirect effects analysis revealed that PUAI and PEUAI mediate between AI exposure, use, knowledge, and purchase intentions, suggesting that greater understanding of and familiarity with AI enhance the propensity to engage in AI-powered online transactions. The ease of integrating AI into daily life and perceived AI utility enhance purchase intentions. The study offers insights for online retailers leveraging AI technologies in an effort to enhance consumer purchase experiences, emphasizing the potential of AI to positively influence choices while enhancing trust, familiarity, and the overall user experience.
Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images
Authors: Zhang Sen , Xu Chong , Meng Zhenjiang , Li Tao , Li Chao , Huang Yuandong , Shao Xiaoyi , Feng Liye , Luo Penghan , Luo Changyou
Published: September 2024

The Baota District of Yan’an City, located in the Loess Plateau, is an important patriotic education base in China. The region’s fragile geological environment and frequent geological disasters pose significant threats to the production and livelihood of residents. Establishing a landslide traces inventory can provide crucial assistance for studying regional land disaster distribution patterns and implementing disaster prevention and mitigation measures. However, the Baota District has not yet established a comprehensive and detailed landslide traces inventory, resulting in a lack of clear understanding and comprehensive knowledge regarding the threats and impacts of landslide disasters in the area. Therefore, this study employed high-resolution satellite images, applying a human–computer interactive visual interpretation method in conjunction with field survey verifications, to develop the most detailed and comprehensive landslide traces inventory for the Baota District to date. The results indicate that within the 3556 km2 area of the Baota District, there are 73,324 landslide traces, with an average landslide density of 20.62 km-2 and a total landslide area of 769.12 km2, accounting for 21.63% of the total land area. These landslides are relatively evenly distributed throughout the district, with a higher concentration in the east compared to the west. Most of the landslides are small in size. This study can support disaster prevention and mitigation efforts in the Baota District and serve as a reference for establishing landslide inventories in other regions of the Loess Plateau.
Identification of Ecological Compensation Zones and Compensation Amounts: A Case Study of the Yellow River Delta
Authors: Guan Qingchun , Li Hui , Guan Chengyang , Chen Junwen , Fan Yanguo
Published: September 2024

Accurately identifying ecological compensation areas and scientifically determining appropriate compensation amounts are crucial for establishing a robust ecological compensation mechanism, which in turn is key to promoting the coordinated development of ecological protection and high-quality economic growth. This study innovatively proposes a framework for ecological compensation termed “Accounting of Ecosystem Services Value–Identification of Priorities for Payers and Recipients–Calculation of Ecological Compensation Amount (ESV–PPR–ECA)”. It utilizes the InVEST model and the emergy method to assess the value of ecosystem services, constructs the Ecosystem Payment and Recipient Priority Sequence (EPRPS) Model to identify the payers, recipients, and their priorities for ecological compensation, and employs the conversion factor method to calculate the Ecological Compensation Amount (ECA). This framework aims to address the questions of “How should compensation be provided?”, “Who should compensate whom?”, and “How much compensation is necessary?”, ensuring the optimal use of ecological compensation funds and providing a scientific basis for inter-regional ecological compensation. The study’s findings indicate that the total Ecological Compensation Amount for the Yellow River Delta in 2020 was 3.848 billion RMB, with the total amount receivable being 4.032 billion RMB and the total amount payable being 184 million RMB. The compensation funds should be prioritized for tideland and the Yellow River, and venture, cropland and industrial land should be the first to contribute compensation. Additionally, the Ecosystem Service Value of the Yellow River Delta showed a declining trend from 2015 to 2020, underscoring the urgent need to establish a horizontal compensation mechanism for the region. Such a mechanism would incentivize environmental protection and the construction of ecological civilization, ultimately enhancing ecosystem service functions. Therefore, we recommend the implementation of horizontal fiscal transfers, where financial assistance is provided from paying areas to recipient areas, offering a scientific reference for the establishment of a horizontal compensation mechanism within the Yellow River Delta.
Quality Evaluation of Public Spaces in Traditional Villages: A Study Using Deep Learning and Panoramic Images
Authors: Meng Shiyu , Liu Chenhui , Zeng Yuxi , Xu Rongfang , Zhang Chaoyu , Chen Yuke , Wang Kechen , Zhang Yunlu
Published: September 2024

In the context of rapid urbanization, public spaces in traditional villages face challenges such as material ageing, loss of characteristics, and functional decline. The scientific and objective assessment of the quality of these public spaces is crucial for the sustainable development of traditional villages. Panoramic images, as an important source of spatial data, combined with deep learning technology, can objectively quantify the characteristics of public spaces in traditional villages. However, existing research has paid insufficient attention to the evaluation of the quality of public spaces in traditional villages at the micro-scale, often relying on questionnaires and interviews, which makes it difficult to meet the needs of planning and construction. This study constructs an evaluation system for the quality of public spaces in traditional villages, taking national-level traditional villages in the Fangshan District of Beijing as an example, based on traditional field research, using deep learning and panoramic images to automatically extract the features of public spaces in traditional villages, using a combination of the Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods to determine the weights of the indicators and applying the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to evaluate the quality of public spaces in traditional villages. The study found that the quality of public spaces in Nanjiao Village is Grade I; Shuiyu Village and Liulinshui Village, Grade III; and Heilongguan Village, Grade IV and that there is still much room for improvement in general. The evaluation results match well with the public’s subjective perceptions, with an R2 value of 0.832, proving that the constructed evaluation system has a high degree of accuracy. This study provides a scientific basis and an effective tool for the planning, design, and management of public spaces in traditional villages, which helps decision-makers better protect and utilize them.
SkipResNet: Crop and Weed Recognition Based on the Improved ResNet
Authors: Hu Wenyi , Chen Tian , Lan Chunjie , Liu Shan , Yin Lirong
Published: September 2024

Weeds have a detrimental effect on crop yield. However, the prevailing chemical weed control methods cause pollution of the ecosystem and land. Therefore, it has become a trend to reduce dependence on herbicides; realize a sustainable, intelligent weed control method; and protect the land. In order to realize intelligent weeding, efficient and accurate crop and weed recognition is necessary. Convolutional neural networks (CNNs) are widely applied for weed and crop recognition due to their high speed and efficiency. In this paper, a multi-path input skip-residual network (SkipResNet) was put forward to upgrade the classification function of weeds and crops. It improved the residual block in the ResNet model and combined three different path selection algorithms. Experiments showed that on the plant seedling dataset, our proposed network achieved an accuracy of 95.07%, which is 0.73%, 0.37%, and 4.75% better than that of ResNet18, VGG19, and MobileNetV2, respectively. The validation results on the weed–corn dataset also showed that the algorithm can provide more accurate identification of weeds and crops, thereby reducing land contamination during the weeding process. In addition, the algorithm is generalizable and can be used in image classification in agriculture and other fields.
Multifunctional Identification and Transition Path of Rural Homesteads: A Case Study of Jilin Province
Authors: Wang Xuechun , Wu Songze , Wang Dongyan , Wei Yuyu
Published: September 2024

In the context of rural revitalization, identifying the functional characteristics of rural homesteads and clarifying the relationship among various functions are important scientific issues for the transformation of homestead utilization. Taking Jilin Province as an example, this paper analyzes the problems existing in rural homestead utilization from the aspects of quantitative characteristics, human–land matching degree, and the current situation of idle homesteads. An evaluation index system is constructed to measure the functional values of homesteads to identify the advantageous functions of homesteads. The results are as follows: (1) in some areas of the Jilin Province, the per capita homestead area is relatively large, with a high vacancy rate, and there is a phenomenon of inefficient use of homesteads, (2) according to the calculation results of the homestead functional index, the overall performance of the four functions of rural homesteads is in the order of living function > security function > production function > asset function, indicating that traditional living function remains predominant in the study area, (3) based on the relationship between the comprehensiveness and coordination of the four functions of homesteads, villages are classified into “moderate optimization area”, “key improvement area”, “collaborative optimization area”, and “potential improvement area”.
The Multifaceted Botanical Impact of the Invasive Common Milkweed (Asclepias syriaca L.) in a Protected Sandy Grassland in Central Europe
Authors: Meinhardt Sarolta , Saláta Dénes , Tormáné Kovács Eszter , Ábrám Örs , Morvai Edina , Szirmai Orsolya , Czóbel Szilárd
Published: September 2024

Asclepias syriaca L.is a perennial broad-leaved species native to North America. It has become established in many regions of Europe, and has spread with increasing rapidity in recent decades. Its reproductive behaviour allows this species to proliferate rapidly. The selected grasslands are located in the Carpathian Basin in Hungary, in the area of Kiskunság National Park, near Lake Kolon. In the framework of the research, in two consecutive years (2021 and 2022), and in two different seasons (spring and autumn), we examined the percentage cover of vascular plant species in the stands degraded by A. syriaca and the natural control (without A. syriaca), and their seasonal and interannual dynamics. Between the A. syriaca-degraded and natural control stands, there was no significant difference in the number of species in the spring and autumn of any of the examined years. Surprisingly, in the spring, the degraded stands were somewhat richer in vascular plant species. In autumn, the control stands had more vascular plant species, but to a lesser extent. The Shannon diversity was higher in the A. syriaca-dominated stands than in the control in all recording periods. Simpson diversity showed a similar pattern to Shannon diversity, with one exception in spring 2022. In the case of the social behaviour type, it can be clearly seen that the alien competitor (AC) species dominated in spring and autumn in both years in the stand dominated by A. syriaca. In the natural control stand, specialists (S) and competitors (C) dominated in both years and in both seasons. The negative effect of the invasive species on the number and diversity of species was presumably significantly reduced by the significant drying of the study area experienced in recent years.
Nilotinib as a Prospective Treatment for Alzheimer’s Disease: Effect on Proteins Involved in Neurodegeneration and Neuronal Homeostasis
Authors: Srivastava Ankita , Renna Heather A. , Johnson Maryann , Sheehan Katie , Ahmed Saba , Palaia Thomas , Pinkhasov Aaron , Gomolin Irving H. , Wisniewski Thomas , De Leon Joshua , Reiss Allison B.
Published: September 2024

Nilotinib, a tyrosine kinase inhibitor that targets the Abelson tyrosine kinase (c-Abl) signaling pathway, is FDA-approved to treat chronic myeloid leukemia. Nilotinib has properties indicative of a possible utility in neuroprotection that have prompted exploration of repurposing the drug for the treatment of Alzheimer’s disease (AD) and Parkinson’s disease (PD). AD is a progressive age-related neurodegenerative disorder characterized by the deposition of extracellular amyloid-β plaques and intracellular neurofibrillary tangles. It is incurable and affects approximately 50 million patients worldwide. Nilotinib reduces c-Abl phosphorylation, amyloid-β levels, and dopaminergic neuron degeneration in preclinical AD models. This study explores the effects of nilotinib on amyloid processing and mitochondrial functioning in the SH-SY5Y human neuroblastoma cell line. SH-SY5Y cells were exposed to nilotinib (1, 5, and 10 µM). Real-time PCR and immunoblot analysis were performed to quantify the expression of genes pertaining to amyloid-β processing and neuronal health. Nilotinib did not significantly change APP, BACE1, or ADAM10 mRNA levels. However, BACE1 protein was significantly increased at 1 µM, and ADAM10 was increased at 10 µM nilotinib without affecting APP protein expression. Further, nilotinib treatment did not affect the expression of genes associated with neuronal health and mitochondrial functioning. Taken together, our findings do not support the efficacy of nilotinib treatment for neuroprotection.
HLA Diversity in Transylvanian Ethnic Groups: Consequences for Hematopoietic Cell Transplantation
Authors: Dican Lucia , Iancu Mihaela , Elec Florin Ioan , Burghelea Dan , Timoce Raluca , Catana Cristina Sorina , Marta Monica Mihaela , Lucaciu Roxana Liana , Hangan Adriana Corina , Matei Horea Vladi , Loga Luminița-Ioana Iancu
Published: September 2024

The HLA profile is essential in cell and tissue transplantation, particularly in patients with autoimmune conditions and infections. Due to the extreme polymorphism in certain HLA loci, it also serves as a key tool for population genetic analysis. This study aimed to identify the allele and haplotype distributions of HLA class I (A, B, and C) and class II (DRB1) genotypes in unrelated hematopoietic stem cell donors. A retrospective analysis was conducted between 2016 and 2020 on 9832 Transylvanian volunteers, divided into Romanian and Hungarian groups based on self-reported ethnicity. Using PCR-SSO for HLA typing, significant differences were found in allele frequencies between ethnic groups. A total of 19 HLA-A, 31 HLA-B, 14 HLA-C, and 13 HLA-DRB1 distinct allele groups were identified between ethnic groups. Notably, B*18, B*51, and C*12 were more frequent in Romanians, while B*44, B*40, and C*07 were more common in Hungarians. Differences in haplotype distributions were also observed, with HLA-A*02~B*18~C*07~DRB1*11 being significantly more frequent in Romanians. Understanding these population-specific HLA profiles can improve donor matching for hematologic diseases, enhancing patient outcomes and access to life-saving hematopoietic stem cell transplantation.
The Relationship between Sleep Quality and Posture: A Study on University Students
Authors: Badau Adela , Badau Dana , Cengiz Sebnem Sarvan , Coşkun Ebrar Şevval
Published: September 2024

The aim of this study is to investigate body posture, physical exercises, head–neck relationship, and sleep quality among university students. A total of 96 students, with an average age of 20.86 ± 1.24 years and an average BMI of 23.41 ± 2.56, voluntarily participated in the study. The REEDCO Posture Evaluation (RPE) was used to assess the participants’ body posture scores. Head and neck measurements were taken using the Apecs-AI Posture Evaluation and Correction System® (Apecs Posture Analysis Pro Plus Version 8.2.6). Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Pearson correlation analysis indicated that increased caffeine consumption was associated with poorer sleep quality (r = 0.267, p < 0.05). Additionally, increased participation in physical activities was associated with improved sleep quality, with those engaging in sports having better sleep quality scores (r = −0.278, p < 0.05). As physical activity increased, REEDCO scores decreased (r = −0.423, p < 0.05), while scores for right head (r = 0.210, p < 0.05) and left head (r = 0.247, p < 0.05) increased. Significant negative correlations were found between REEDCO scores and right head (r = −0.296, p < 0.05) and left head (r = −0.463, p < 0.05) scores. In conclusion, due to the limited number of studies investigating head–neck relationships and sleep quality, definitive conclusions cannot be drawn; further and more comprehensive research is needed.
Numerical Simulation of the Temperature in a Train Brake Disc Using the Barycentric Rational Interpolation Collocation Method
Authors: Wu Bing , Zhuo Yuanying , Yao Linquan , Shen Quan , Xiao Guangwen , Wang Zhaoyang
Published: September 2024

The thermal analysis of brake discs is crucial for studying issues such as wear and cracking. This paper establishes a symmetric two-dimensional brake disc model using the barycentric rational interpolation collocation method (BRICM). The model accounts for the effects of thermal radiation and is linearized using Newton’s linear iteration method. In the spatial dimension, the two-dimensional heat conduction equation is discretized using BRICM, while in the temporal dimension, it is discretized using the finite difference method (FDM). The resulting temperature distribution of the brake disc during two consecutive braking events is consistent with experimental data. Additionally, factors affecting the accurate calculation of the temperature are examined. Compared to other models, the proposed model achieves accurate temperature distributions with fewer nodes. Furthermore, the numerical results highlight the significance of thermal radiation within the model. The results obtained using BRICM can be used to predict the two-dimensional temperature distribution of train brake discs.
Pt3(CoNi) Ternary Intermetallic Nanoparticles Immobilized on N-Doped Carbon Derived from Zeolitic Imidazolate Frameworks for Oxygen Reduction
Authors: Song Shiqi , Hu Junhua , Wang Chupeng , Luo Mingsheng , Wang Xiaoxia , Zhai Fengxia , Zheng Jianyong
Published: September 2024

Pt-based intermetallic compound (IMC) nanoparticles have been considered the most promising catalysts for oxygen reduction reaction (ORR) in proton exchange membrane fuel cells (PEMFC). Herein, we propose a strategy for producing ordered Pt3(CoNi) ternary IMC nanoparticles supported on N-doped carbon materials. Particularly, the Co and Ni are originally embedded into ZIF-derived carbon, which diffuse into Pt nanocrystals to form Pt3(CoNi) nanoparticles. Moreover, a thin layer of carbon develops outside of Pt3(CoNi) nanoparticles during the cooling process, which contributes to stabilizing the Pt3(CoNi) on carbon supports. The optimal Pt3(CoNi) nanoparticle catalyst has achieved significantly enhanced activity and stability, exhibiting a half-wave potential of 0.885 V vs reversible hydrogen electrode (RHE) and losing only 16 mV after 10,000 potential cycles between 0.6 and 1.0 V. Unlike the direct-use commercial carbon (VXC-72) for depositing Pt, we utilized ZIF-derived carbon containing dispersed Co and Ni nanocluster or nanoparticles to prepare ordered Pt3(CoNi) intermetallic catalysts.
Control and Modelling of Laser Shock Peening without Coating (LSPwC) Texture of AISI 9310 Steel
Authors: Liu Ping , Yang Zhandiao , Xie Cenchao , Yang Fei , Zhou Liucheng
Published: September 2024

LSPwC is an important development of Laser shock peening (LSP) technology, and surface texturing is an effective method to improve tribological properties. The combination of these is expected to innovate a new surface texturing technology with a strengthing effect, but no one has attempted it. In this paper, a new LSPTwC technology combining them is innovatively proposed and validated on AISI 9310 steel, which is commonly used in helicopter transmission components for surface texturing. The LSPTwC surface was studied using an optical microscope, electron microscope, energy dispersive spectrometer, and so on. The results proved that LSPTwC is an effective texturing method of AISI 9310 steel, which modulates the texture and improves the properties, such as the microhardness increased by more than 10%. A model for calculating the texture and process parameters is also constructed on a statistical basis, and a modeling method for textured surfaces is proposed. It is verified that the calculation results and the constructed model are highly consistent with the test, with a diameter deviation <3% and depth deviation <4%. The above results can provide the experimental basis, process design method, and calculation model for single-point LSPwC texturing of AISI 9310 steel parts for helicopters, which have application value.
Magnetic Phase-Change Microcapsules with High Encapsulation Efficiency, Enhancement of Infrared Stealth, and Thermal Stability
Authors: Chang Chun-Wei , Chen Zheng-Ting , Shih Yeng-Fong
Published: September 2024

Due to energy shortages and the greenhouse effect, the efficient use of energy through phase-change materials (PCMs) is gaining increased attention. In this study, magnetic phase-change microcapsules (Mag-mc) were prepared by suspension polymerization. The shell layer of the microcapsules was formed by copolymerizing methyl methacrylate and triethoxyethylene silane, with the latter enhancing the compatibility of the shell layer with the magnetic additive. Ferric ferrous oxide modified by oleic acid (Fe3O4(m)) was added as the magnetic additive. Differential scanning calorimetry (DSC) testing revealed that the content of phase-change materials in microcapsules without and with ferric ferrous oxide were 79.77% and 96.63%, respectively, demonstrating that the addition of Fe3O4(m) improved the encapsulation efficiency and enhanced the energy storage ability of the microcapsules. Laser particle size analysis showed that the overall average particle sizes for the microcapsules without and with ferric ferrous oxide were 3.48 μm and 2.09 μm, respectively, indicating that the incorporation of magnetic materials reduced the size and distribution of the microcapsules. Thermogravimetric analysis indicated that the thermal stability of the microcapsules was enhanced by the addition of Fe3O4(m). Moreover, the infrared emissivity of the microcapsule-containing film decreased from 0.77 to 0.72 with the addition of Fe3O4(m) to the shell of microcapsules.
Coal to Clean: Comparing Advanced Electrodes for Desulfurization and Copper Recovery
Authors: Pantović Spajić Katarina R. , Pantović Pavlović Marijana R. , Stopic Srecko , Cvetković Vesna S. , Petrović Nataša M. , Marković Branislav , Pavlović Miroslav M.
Published: September 2024

This study explores the electrochemical desulfurization of coal and the recovery of copper (Cu) using dimensionally stable anode (DSA) electrodes. Background: The research addresses the need for effective sulfur removal from coal to reduce emissions. Methods: Electrochemical desulfurization was conducted using DSA and graphite electrodes, evaluating parameters like activation energy, desulfurization rate, and energy consumption. Cyclic voltammetry and linear sweep voltammetry were used to study the electrochemical properties. Results: The DSA electrode demonstrated superior performance with higher desulfurization rates, lower activation energy, and better response to temperature increases compared to the graphite electrode. Optimal desulfurization was achieved at 50 °C with the DSA electrode, balancing efficiency and energy consumption. Copper recovery from the solution post-desulfurization was effective, with an 86.34% recovery rate at −0.15 V vs. (Ag|AgCl). The energy consumption for the Cu recovery was calculated to be 10.56 J, and the total cost for recovering 1 ton of Cu was approximately 781.20 €. Conclusions: The study highlights the advantages of DSA electrodes for efficient sulfur removal and metal recovery, promoting cleaner energy production and environmental sustainability. Future research should focus on optimizing electrochemical conditions and scaling up the process for industrial applications.
Study on Pore Water Pressure Model of EICP-Solidified Sand under Cyclic Loading
Authors: Li Gang , Li Yu , Hua Xueqing , Liu Jia , Yang Shasha , Zhang Yao
Published: September 2024

Under traffic load, earthquake load, and wave load, saturated sand foundation is prone to liquefaction, and foundation reinforcement is the key measure to improve its stability and liquefaction resistance. Traditional foundation treatment methods have many problems, such as high cost, long construction period, and environmental pollution. As a new solidification method, enzyme-induced calcium carbonate precipitation (EICP) technology has the advantages of economy, environmental protection, and durability. Through a triaxial consolidated undrained shear test under cyclic loading, the impacts of confining pressure (σ3), cementation number (Pc), cyclic stress ratio (CSR), initial dry density (ρd), and vibration frequency (f) on the development law of pore water pressure of EICP-solidified sand are analyzed and then a pore water pressure model suitable for EICP-solidified sand is established. The result shows that as σ3 and CSR increase, the rise rate of pore water pressure of solidified sand gradually accelerates, and with a lower vibration number required for liquefaction, the anti-liquefaction ability of solidified sand gradually weakens. However, as Pc, ρd, and f rise, the increase rate of pore water pressure of solidified sand gradually lowers, the vibration number required for liquefaction increases correspondingly, and its liquefaction resistance gradually increases. The test results are highly consistent with the predictive results, which show that the three-parameter unified pore water pressure model is suitable for describing the development law of A-type and B-type pore water pressure of EICP-solidified sand at the same time. The study results provide essential reference value and scientific significance in guidance for preventing sand foundations from liquefying.
Characterization and Growth Kinetics of Borides Layers on Near-Alpha Titanium Alloys
Authors: Piao Rongxun , Wang Wensong , Hu Biao , Hu Haixia
Published: September 2024

Pack boriding with CeO2 was performed on the powder metallurgical (PM) near-α type titanium alloy at a temperature of 1273–1373 K for 5–15 h followed by air cooling. The microstructure analysis showed that the boride layer on the surface of the alloy was mainly composed of a monolithic TiB2 outer layer, inner whisker TiB and sub-micron sized flake-like TiB layer. The growth kinetics of the TiB2 and TiB layers obeyed the parabolic diffusion model. The diffusion coefficient of boron in the boride layers obtained in the present study was well within the ranges reported in the literature. The activation energies of boron in the TiB2 and TiB layers during the pack boriding were estimated to be 166.4 kJ/mol and 122.8 kJ/mol, respectively. Friction tests showed that alloys borided at moderate temperatures and times had lower friction coefficients, which may have been due to the fine grain strengthening effect of TiB whiskers. The alloy borided at 1273 K for 10 h had a minimum friction coefficient of 0.73.
Microstructure Evolution and Mechanical Properties of High-Temperature Carburized 18Cr2Ni4WA Steel
Authors: Zhang Zhenyang , Wu Zehua , Yuan Yuedong , Wang Xiaonan , Tian Yanzhong
Published: September 2024

Surface carburized steels are extensively utilized in gears due to their exceptional properties. The quality of the carburized layer is crucial in enhancing the contact fatigue and wear resistance of the components. However, the conventional carburizing method takes a long time and induces a carbon emissions problem. In this study, the 18Cr2Ni4WA steel was double tempered (650 °C/4 h) after carburizing at 930 °C and 950 °C. The microstructural evolution, carbide precipitation, and mechanical properties of different carburized layers were analyzed. The results showed that increasing the carburizing temperature can control the microstructure of the carburized layer while reducing the carburizing time by over 60%. The high carbon content improves the strength of the carburized materials at 950 °C, and the inhibition of dislocation motion and grain boundary by the precipitation of more carbides ensures the stability of grain size, maintaining the strength of the materials. The carburized specimens at 950 °C showed an excellent combination of strength and plasticity in different carburized layers due to the variations in solid solution strengthening, dislocation strengthening, precipitation strengthening, and grain boundary strengthening induced by carbon atoms. This study holds significant reference for the advancement of modern steels carburized at high temperatures in a short time.