bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of precursor structure mediated by phthalic acid on the structure and properties of CN
Authors: Li Xianhua , Yu Qingbo 
Published: September 2024

Abstract

The dicyanodiamine/phthalic acid (DCDA/PA) precursor with molecular assembly strategy was prepared by hydrothermal treatment the mixture of dicyandiamine and phthalic acid, in which some of the amines were bound by phthalic acid through hydrogen bonding interactions, and the carbon nitride (CN) photocatalyst was further prepared by thermal polymerization. The results showed that the new chemical structure formed by the interaction of melamine cyanurate and phthalic acid through hydrogen bonding could hinder the intermolecular collision chances during the calcination process of DCDA/PA precursor, which made the polymerization reaction difficult to be carried out, and the CN photocatalysts with irregular layered stacking structure were formed. In addition, the presence of more amino groups in the CN-0.3 structure can effectively improve the separation efficiency of its photogenerated charge carriers, and after simulated visible light irradiation for 60 min, the photocatalytic activity presented by CN-0.3 for MB was 2.72 times higher than that of pristine g-C3N4.
Intra-ovarian platelet-rich plasma administration plus successive accumulated embryo transfer could be a promising strategy for poor ovarian response management: a before-after study
Authors: Zhao Hongcui , Wu Juan , Xu Yang , Shen Xiaofang , Wang Huanhuan , Zhao Aihua , Cao Fumin , Chen Xinna 
Published: September 2024

Abstract

Background: The management of poor responders is a significant challenge for both patients and clinicians. The aim of this study was to evaluate the effectiveness of intra-ovarian injection of Platelet-Rich Plasma (PRP) combined with successive accumulated embryo transfer in improving the outcomes of patients with Poor Ovarian Response(POR) based on POSEIDON criteria.
Methods: This single-center, retrospective before-after study was conducted at a private reproductive center, involving 49 women diagnosed with POR, indicated by an AMH level of less than 1.2 ng/ml. The participants, comprising 13 group 3 and 36 group 4 POR patients, underwent intra-ovarian injections of PRP followed by the accumulation of embryos over three successive cycles of mild stimulation IVF/ICSI from May 2021 to May 2022, before proceeding to the embryo transfer phase. The ovarian reserve markers, Oocyte and embryologic outcomes were compared in all patients before and after intra-ovarian injection of PRP. The cumulative clinical pregnancy and cumulative live birth outcomes were presented. Statistical analyses were performed using SPSS version 25. A p-value < 0.05 denoted statistical significance.
Result(s): The mean age of all participants was 37.67±4.15 years and their mean body mass index was 21.52±2.80 kg/m2. Autologous intraovarian PRP therapy significantly increased AMH levels, AFC and decreased FSH levels. Autologous intraovarian PRP therapy accompanied with 3 successive cumulated cycles, significantly increased No. of accumulated embryos and blastocysts. This strategy also significantly reduced the rate of cancelled cycle. Following this strategy, of 44 cases with accumulated embryos/blastocysts transfer, 20 (45.45%) achieved clinical pregnancy, of which 15 (34.09%) resulted in live births and 5 (11.36%) ended in miscarriage.
Conclusion(s): Intra-ovarian injection of PRP plus successive embryo accumulation following mild stimulation and accumulated embryo transfer appears to be an optimal strategy for POR management.
BMSCs Combined with Grafted igament Promote ACL Healing by Regulating NF-kB Signaling Pathway The mechanism of action of the combination
Authors: Yu Zhibin , Zhang Yuhao , Zhang Jun , Wang Chaoran , Zhao Daohong , Shen Changhui , Li Yuqi , Wan Yushan 
Published: September 2024

Abstract

Anterior cruciate ligament (ACL) injury is one of the most common knee injuries, and there is still no agreement on the mechanism of graft healing after ligament reconstruction. In this study, a rat model of bilateral anterior cruciate ligament (ACL) injury was established, and a series of in vitro and in vivo biological and cytological methods were used to explore the mechanism of NF-kb signaling pathway regulated by BMSCs combined with transplanted ligament in the healing of ACL reconstruction ligament. Research shows that BMSCs and co cultured damaged ligament models reduce collagen fibers and inflammation; Transcriptome sequencing revealed Ptgs2, Birc3, Icam1, Tnfrsf1a, and IL-1 β The expression of factors may be regulated by BMSCs and participate in anterior cruciate ligament injury. Further validation through Western Blot, RT qPCR, and immunohistochemistry revealed that bilateral anterior cruciate ligament injury implanted with transplanted tendon reconstruction can significantly increase TNF- α、 IL-1 β、 NF- ĸ The expression levels of B and Ptgs2 can be reduced by BMSCs treatment. Regulating NF- κB The important role of the B signaling pathway in anterior cruciate ligament healing; Prove that the combination of bone marrow mesenchymal stem cells screened in vitro and xenograft ligaments can effectively promote anterior cruciate ligament healing in a rat model (animal model).
Quantitative structure-activity relationship model to predict the stability constant of Uranium coordination complexes for novel uranium adsorbent design
Authors: Shin Hyun Kil , Sihn Youngho 
Published: September 2024

Abstract

A quantitative structure-activity relationship (QSAR) model for predicting the stability constant of uranium coordination complexes to accelerate the discovery of novel uranium adsorbents was developed and evaluated. Effective uranium adsorbents are crucial for mitigating environmental and health risks associated with uranium wastewater, an unavoidable byproduct of nuclear fuel production and power generation, as well as for sequestering uranium from seawater. QSAR modeling addresses the limitations of quantum mechanics calculations and offers a time- and cost-efficient computational approach for exploring vast chemical spaces. The QSAR model was built using a dataset of 108 uranium complexes, incorporating features such as physicochemical properties, coordination numbers of ligands, molecular charge, and the number of water molecules. Nineteen machine learning (ML) strategies were tested, and extreme gradient boosting (XGBoost) emerged as the best-performing ML algorithm, achieving an R² of 0.91 on the external test set after hyperparameter optimization. Including composition features significantly improved model performance, reflecting the physical factors influencing complex stability. Applicability domain analysis was conducted to evaluate model predictive performance. The QSAR model predicts stability constants from the molecular composition alone and is a valuable tool for the efficient design of safer and more sustainable uranium adsorption materials, potentially improving uranium collection processes.
Research on the Coupling Control Mechanism of ‘Yielding-Bolt-Grouting’ in Deep Water-enriched Roadway and Its Engineering Application
Authors: Zhang Jihua , Rui Qiao , Wang Lianguo , Yang Yushun , Chen Jiarui , Shen Wei , Wang Chengwu , Liu Weili 
Published: September 2024

Abstract

Groundwater seepage can easily cause large deformation and fracture instability of the surrounding rock in deep roadways, and the coupling support of " yield-bolt-grouting " can effectively control the occurrence of such accidents. This paper takes the specific engineering geological conditions of deep water-enriched roadway as the research background, revealing the coupling control mechanism of yield-bolt-grouting. The mechanical characteristics of the yielding tube were determined using lab analysis, and an investigation was conducted for the support control mechanism of high-strength yielding bolts. The control mechanism of grouting reinforcement is summarized, and a comprehensive coupling control technology system of yield-bolt-grouting is proposed based on the rheological large deformation characteristics of the surrounding rock of deep water-enriched roadway, with high-strength yielding grouting anchor bolts and grouting anchor cables as the core. The on-site monitoring results indicate that this technology effectively controls the deformation of the surrounding rock. The research results provide new ideas and technical approaches for controlling the surrounding rock of deep water-enriched roadways.
Macroinvertebrate distribution in relation to water and habitat quality changes in lake kuriftu,ethiopia
Authors: Lemma Rahel , Mengistou Seyoum 
Published: September 2024

Abstract

This study aimed at determining whether habitat or other environmental factors were critical to gauge the ecological condition and macroinvertebrate structure of a shallow lake exposed to human pressures. The fieldwork was conducted in 2023 during the dry season. The lakeshore was divided into six equal-distance sample sites. The habplot quality assessment (HabQA), which is based on Lake Habitat Quality Assessment (LHQA) method, was used to study the hydromorphological characteristics. In the littoral zone, physicochemical data were gathered using measuring probes and standard sampling procedures. Thus, a total of fifteen taxa were identified and categorized as follows: Odonata (Calopterygidae,Coenagrionidae ,Aeshnidae ,Cordulidae) ,Hemiptera (Corixidae ,Belostomatidae ,Gerridae ,Naucoridae ,Notonoctidae) ,Ephemeroptera (Baetidae ,Caenidae) and Diptera (Chironomidae ,Ceratopogenidae).Using Bray Curtis UPGMA analysis, the sample sites were grouped according to the distributions of benthic macroinvertebrates. The sites that were most similar to one another were 5 and 6, according to the UPGMA analysis. Sites 3 and 4 were found to be the sites that were the second most similar to one another. The intricacy of these sites' habitats and their littoral substrate provide an explanation for this phenomenon. TP, water temperature, and HabQA score were shown to be important contributors to the variance observed in the macroinvertebrate data. In contrast to other physicochemical factors; this study elucidated the larger significance of habitat quality parameters on the abundance of macroinvertebrate communities. For a better understanding of the different attributes crucial to macroinvertebrate abundance, we highly advise use of the HabQA scoring technique for examining the structure of macroinvertebrate communities. Management efforts should also assess different shoreline changes and give priority to preserving the littoral zone's morphological variety.
Case report and literature study on the resolution of Neonatal Mycoplasma hominis meningitis with non-specific therapy
Authors: Zhang Xiaoling , Li Fan , Wu Meigui , Wang Ling , Chen Juncao , Wang Ping 
Published: September 2024

Abstract

Background
Mycoplasma hominis primarily inhabits in the human urogenital tract. Pregnant women can transmit it to their newborns during delivery, posing potential risks to both full-term and preterm infants. In severe cases, it can even cause neonatal Mycoplasma hominis meningitis.
Case presentation:
We reported a case of Mycoplasma hominis meningitis in a premature infant. Azithromycin treatment was administered due to a positive amniotic fluid culture for Mycoplasma hominis. On the 13th day after birth, the infant exhibited tachycardia and decreased blood pressure, and was assisted with invasive ventilation. After blood and cerebrospinal fluid (CSF) cultures were sent for examination, meropenem and vancomycin were administered for anti-infection treatment. CSF analysis revealed a predominance of polynuclear leukocytes, and no bacterial growth was found in blood and CSF cultures. The infant was transferred to our hospital on the same day with fever, and was treated with meropenem, vancomycin, and azithromycin. After three days of hospitalization, the infant's body temperature returned to normal, and vancomycin was discontinued. The infant's clinical symptoms gradually improved, and the number of white blood cells in the CSF gradually decreased. On the 19th day, the infant had frequent episodes of apnea, and high-throughput sequencing of pathogenic microbial nucleic acid in CSF detected Mycoplasma hominis. On the 20th day, meropenem was discontinued, and azithromycin was continued for a total of 21 day. The infant was discharged in good condition, with no obvious neurological complications or sequelae.
Conclusions
We report a case of Mycoplasma hominis meningitis in a premature infant that was successfully treated with azithromycin. A review of the literature revealed that Mycoplasma hominis meningitis in neonates may have a favorable prognosis with non-specific treatment under certain conditions.
Symmetric multiple-image encryption algorithm using Chen's Hyper-Chaotic System
Authors: Cheng Dongsheng , Chen Yucheng , Huang Huiqing 
Published: September 2024

Abstract

In the era of big data, vast amounts of digital images are transmitted over the Internet. To safeguard the confidentiality of these images, this paper proposes a multiple image encryption algorithm (MIEA) based on 3D non-equilateral Arnold transformation (3D-NEAT) and a chaotic system, capable of encrypting any number of images simultaneously. First, the K plaintext images are superimposed to form a plaintext cube image. Next, 3D-NEAT is applied to scramble the 3D cube plaintext image at the bit level. Finally, chaotic sequences generated by Chen’s hyper-chaotic system (CHCS) are used to further confuse and diffuse the scrambled 3D cube image, resulting in a 3D cube encrypted image. Experimental simulations and security analyses demonstrate that the 3D ciphertext image produced by the proposed algorithm can withstand various security and statistical analyses and shows strong robustness against occlusion and noise attacks. These results indicate that the algorithm is both secure and efficient, making it suitable for practical applications.
Mathematics Subject Classi cation (2020) MSC code1 · MSC code2 · more
An Easy and Low-Cost Preparation of Graphene-Metal Oxide Anchored Hydrolyzed Cellulose Photocatalytic Composites for Degradation of Dye in Waste Waters
Authors: Gumus Huseyin , Buyukkidan Bulent 
Published: September 2024

Abstract

In this study, graphene-metal oxide photocatalyst (G-Mox) was prepared in a low-cost single step carbonization process for an alternative solution to water scarcity. Photocatalytic polymeric composites were obtained according to the nonsolvent induced phase separation technique. Photocatalyst was mixed with the hydrolyzed cellulose (prepared from textile waste)-PVDF in dimethyl formamide solution. Physicochemical and structural properties of powder and composites were characterized by X ray diffractometer, scanning electron microscope and Fourier transform infrared spectroscopy analysis. Photoluminescence analysis and contact angle measurements of photocatalyst were carried out. The photocatalytic properties of the synthesized composites were evaluated in batch and filtration system using the methyl orange (MO) as a model pollutant. The highest decolorization percentage was obtained as 91.8%. Kinetic studies revealed that Phc-30 composite showed the highest removal capacity at equilibrium with Qe:383 among the prepared catalysts. The flux and rejection% of Phc-20 at filtration cell were calculated as 42 L.m− 2.h− 1.bar − 1 and 73% respectively. The Phc composites were found to be highly reusable and suitable as membrane materials with considerable dye removal performance and easy applicability.
A complete S-shaped feedrate scheduling algorithm with variable acceleration limits
Authors: HE YUEBANG , WANG TIANLEI , WANG RUICHAO 
Published: September 2024

Abstract

The conventional S-shaped feedrate scheduling method requires zero starting and ending acceleration to achieve smooth acceleration, which may result in frequent acceleration oscillations in CNC machines, particularly when processing G codes with numerous short length segments. To address this problem, we propose a novel S-shaped algorithm that allows for non-zero starting and ending acceleration, while also accounting for maximum acceleration and maximum velocity constraints. By incorporating this approach along with a bidirectional scanning strategy across all segments, we effectively group them into larger blocks suitable for planning the acceleration from 0 to 0. Subsequently, within each block, a bisection search algorithm is employed to determine the maximum velocity, thereby optimizing the scheduling process. This methodology offers enhanced flexibility by considering varying acceleration limits as well as starting and ending point accelerations across segments within a block, making it more applicable to practical scenarios compared to traditional methods. Simulation and experimental results further validate the effectiveness of our algorithm in reducing machining time without compromising accuracy.
Extraction of bioactive compounds and silver nanoparticle synthesis from fruits of Rauvolfia tetraphylla
Authors: Krishnasamy Loganathan , Bharadwaj Aditya Mohan , Saravanan Govindasamy Kuppusamy , Thomas Sheena Mariam 
Published: September 2024

Abstract

Plant-derived bioactive chemicals have natural pharmacological effects. Rauvolfia tetrapylla has been used in the ancient days to cure a variety of ailments, including snake bites. The aim of the study is to scrutinize the bioactive chemicals isolated from Rauvolfia tetrapylla fruits in order to determine their antibacterial properties and to synthesis silver nanoparticles from the fruit extract. After 72 hours of incubation, a methanolic extract of the fruit was produced. Methanolic extract of the fruit synthesized silver nanoparticles. The fruit extract exhibited antibacterial activity against S. typhi and S. dysentriae. According to GC-MS report, there are 14 different chemicals identified in the fruit extract.
Molecular prevalence of Hepatozoon ophisauri and Toxoplasma gondii in the blood samples of wild lizards collected from various altitudes in Khyber Pakhtunkhwa, Pakistan
Authors: Ghafar Sidra , Khan Asmat Ullah , Khalid Mustansar , Haq Sami Ul , Ullah Saeed , Basit Umaima , Muqaddas Hira , Mohammed Ibrahim Abbas , Mahdi Ayat Ammar , Khan Adil , Iqbal Furhan 
Published: September 2024

Abstract

Despite of having rich reptilian fauna, the wild Pakistani lizards remained unexplored for the blood borne parasites. Hence, this study was designed to report the molecular prevalence and phylogenetic evaluation of Hepatozoon ophisauriand Toxoplasma gondii in blood samples of wild lizards (N = 101) that were trapped from various areas having different altitudes (ranging between 1200 to 2250 m above sea level) in Khyber Pakhtunkhwa province in Pakistan during March 2022 till June 2023. Molecular studies revealed that 3 out of 101 (03%) lizards were Hepatozoon spp. infected. All infected lizards were Laudakia (L.) tuberculata. Forty five out of one hundred and one lizards (45%) were positive for the presence of Toxoplasma gondii and infected lizards included L. agrorensis, L. pakistanica, L. tuberculate and Abblepharus (A.) pannonicus. DNA sequencing and BLAST analysis confirmed the presence of Hepatozoon ophisauri and Toxoplasma gondii. Phylogenetic analysis of both pathogens showed genetic diversity among the Pakistani isolates as they clustered with isolates reported from reptiles, birds and ticks reported from worldwide countries. Risk factor analysis revealed that prevalence of Toxoplasma gondii varied between the screened lizard species. Highest parasite prevalence was observed in L. agrorensis (67%) and A. pannonicus (67%) followed by L. pakistanica (45%) and L. tuberculate (43%). All other studies risk factors varied non significantly with the prevalence of each parasite. In conclusion, this is the first study from Pakistan reporting a a very high Toxoplasma gondii while low Hepatozoon ophisauri prevalence in Pakistani lizards. We recommended that similar and large-scale studies must be conducted in various geo-climatic regions of Pakistan that are unexplored for the prevalence of these pathogens among the wild lizards as well as in other wildlife to broaden our knowledge about their genetic diversity, host-parasite interactions and effective control.
Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals: Application of the Bayesian kernel machine regression model
Authors: Jeong Yong Whi , Choi Hayon Michelle , Park Youhyun , Lee Yongjin , Jung Ji Ye , Kang Dae Ryong 
Published: September 2024

Abstract

Particulate matter (PM) has various health effects, and individuals are simultaneously exposed to these factors. Vulnerable and susceptible individuals are more sensitive to environmental factors than nonvulnerable individuals. Exposure to PM causes cardiovascular diseases. Heart rate variability (HRV) is a biomarker that may be used to identify cardiovascular diseases, and sensitive monitoring of HRV is required. Most previous studies have evaluated exposure using environmental pollution monitoring devices located in various districts. There is a lack of research exploring the relationship between environmental pollutant exposure in personal living spaces and HRV using both indoor and outdoor measurement devices. This study aimed to investigate the association between exposure to PM and HRV using a model capable of multi-substance analysis in short-term exposures, in vulnerable and susceptible individuals, including patients with environmental disease (patients with arrhythmia, chronic airway disease, and stroke patients) and vulnerable populations (residents of an industrial complex area, the elderly). We measured PM1.0, PM2.5, PM10, and digital biomarkers in 97 participants. We evaluated the impact of short-term PM exposure on 24-h HRV over five days by measuring indoor and outdoor exposure using personalized monitoring equipment and ECG monitoring via wearable devices. The PM was calculated as a daily cumulative value and divided into days with high and low cumulative concentrations. The association between exposure to single particulate and complex mixtures and HRV was compared using multiple linear regression and Bayesian kernel machine regression (BKMR). This study found that HRV showed a negative trend with increased PM exposure on days with high cumulative PM concentrations, with statistically significant associations observed between higher PM concentrations and decreased HRV on days with high exposure. The subgroup analysis revealed that patients with chronic airway disease and residents of industrial complex areas exhibited stronger negative correlations between exposure to PM and HRV. These associations were more pronounced with complex exposure to PM1.0, PM2.5, and PM10. In short-term exposure, it was confirmed that exposure to single and complex PM is negatively associated with HRV, and this relationship varies depending on the sensitive characteristics of individuals. Integrating indoor and outdoor personalized exposure assessments with 24-hour ECG monitoring has reinforced our understanding of the complex interactions between PM and health. Our findings indicate that even 'acceptable' PM levels can harm HRV, suggesting that current thresholds may not adequately protect sensitive individuals. This highlights the need for more stringent, particle size-specific standards for at-risk groups.