bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thromboembolism during immune checkpoint inhibitor therapy -frequency and risk factors-
Authors: IDE Takayuki , ARAKI Taisuke , KOIZUMI Tomonobu 
Published: May 2023

Abstract
Background Thromboembolism (TE) is a well-known complication during chemotherapy in cancer patients. However, the risk of TE associated with immune checkpoint inhibitors (ICIs) is unknown. This study was performed to investigate the incidence of TE and associated risk factors in patients treated with ICIs.Methods We conducted a retrospective chart survey of patients receiving at least one ICI at Shinshu University Hospital between September 2014 and October 2021. Age, sex, cancer type, body mass index, medical history, laboratory data at commencement of treatment, and medication data were obtained from electronic medical records. TE events (venous thromboembolism [VTE], arterial thromboembolism [ATE]) were identified after ICI initiation.Results The study population consisted of 550 patients with a median age of 70.0 (19–89) years, 71.3% men, and a median follow-up of 15.1 months (range; 0.16–72.0 months). Nivolumab was the most commonly used ICI (45.8%), followed by pembrolizumab (24.0%), pembrolizumab plus anticancer drugs (7.8%), and nivolumab plus ipilimumab (5.1%). Forty cases of TE (7.3%) occurred (22 VTE, 16 ATE). Risk factors significantly associated with TE in multivariate logistic analysis were urothelial cancers (OR 2.86; 95%CI, 1.13–7.21; p = 0.026), dyslipidemia (OR 2.33; 95%CI, 1.13–4.81; p = 0.023), Khorana score ≥ 2 (HR 2.22; 95%CI, 1.07–4.61; p = 0.032). Overall survival was not significantly different from patients without TE (p = 0.886).Conclusion These results suggested that the frequency of TE is higher than expected and should be considered and monitored in patients treated with ICIs.
Investigating the effect of a low carbohydrate, high saturated fat diet on concentration levels of markers associated with a leaky gut and the association with glucose homeostasis
Authors: Dimba Nosipho , Mzimela Nhlakanipho , Khathi Andile 
Published: May 2023

Abstract
Background A high-fat high carbohydrate (HFHC) contributes to the development of prediabetes. This condition precedes the onset of type 2 diabetes (T2D). Hence it has become a therapeutic target to prevent metabolic disorders. Several approaches such as lifestyle modifications that include moderate exercise and dietary intervention have been reported to effectively reverse prediabetes. This study investigated the effect of a low carbohydrate, high saturated fat (LCHSF) diet on glucose homeostasis and concentration levels of markers associated with a leaky gut in male Sprague Dawley rats.Methods The animals (n = 12) ingested a HFHC diet for a period of 20 weeks. After 20 weeks, the prediabetic animals were subdivided into two groups to further investigate the effects of diets for additional 12 weeks. Group 1 was the prediabetic control group (PD) that remained on a HFHC diet and group 2 was the prediabetic group that switched to a LCHSF diet (PD + DI). At the end of 32 weeks, the fecal samples were analyzed to measure the gut microbiota composition of Firmicutes, Bacteroidetes, and Proteobacteria in both animal groups. Furthermore, blood glucose, glycated haemoglobin, serum zonulin, plasma LPS, soluble CD14, tumor necrosis factor-alpha, interleukin-6, C- reactive protein, and intestinal fatty-acid binding protein concentrations were measured.Results In the PD + DI group, there was a significant increase in the Firmicutes levels and a decrease in Bacteroidetes and Proteobacteria compared to PD. Blood glucose and HbA1c concentration were significantly decreased in the PD + DI group in comparison to PD. Zonulin and sCD14 concentrations in the PD + DI group decreased compared to the PD group, while LPS concentrations were similar. A decrease in TNF-α, IL-6, CRP, and IFABP concentrations in the PD + DI group was observed compared to PD.Conclusion Taken together, these results suggest that a LCHSF diet effectively improved glucose homeostasis, gut microbiota composition and beneficially reduced the risk of insulin resistance observed in a prediabetic state.
Characterization of additively manufactured parts for direct screwing
Authors: Moritzer Elmar , Held Christian 
Published: May 2023

Abstract
The combination of additive manufacturing and direct screwing can improve the disadvantages of the additive manufacturing such as long manufacturing times and high costs for expanding building spaces. Direct screwing allows smaller components to be assembled into larger components and added to assemblies as components with high functional integration. Therefor avoidance of large building spaces and a useful integration of additive components into serial production are possible. While guidelines for direct screwing of injection molded thermoplastic components are provided by the Deutscher Verein für Schweißen und verwandte Verfahren e.V., no recommendations for additively manufactured components exist. Preliminary investigation at the Kunststofftechnik Paderborn have shown that recommendations for injection molded components cannot be fully transmitted to additively manufactured components by analogy. Because of the layered manufacturing process additively manufactured components are highly anisotropic, why the strength of the components strongly depends on the build orientation. On this behalf, the suitability of additive manufactured components for direct screwing is investigated in a current research project at the Kunststofftechnik Paderborn. Topic of this presentation is the characterization of additively manufactured screw bosses in regard to the existing guidelines. For the characterization, screw domes are additively manufactured according to the geometry recommendations of the guidelines with the Fused-Deposition Modelling and the Selective Laser Sintering. To account for the anisotropy, the screw domes are built in three different orientations. The suitability of additively manufactured screw domes is evaluated through a comparison to injection molded screw bosses. For the comparison the joining parameters, the pull-out strength and the component strength are investigated. The results show that there are significant differences in the investigated criteria based on the manufacturing technique and the build orientation.
Self-supervised dynamic learning for long-term high-fidelity image transmission through unstabilized diffusive media
Authors: Li Ziwei , zhou wei , Zhang Shuqi , Shi Jianyang , Shen Chao , Zhang Junwen , Chi Nan , Dai Qionghai 
Published: May 2023

Abstract
Multimode fiber (MMF) which supports parallel transmission of spatially distributed information is a promising platform for remote imaging and capacity-enhanced optical communication. However, the variability of the scattering MMF channel poses a challenge for achieving long-term accurate transmission over long distances, of which static optical propagation modeling with calibrated transmission matrix or data-driven learning will inevitably degenerate. In this paper, we present a self-supervised dynamic learning approach that achieves long-term, high-fidelity transmission of arbitrary optical fields through unstabilized MMFs. Multiple networks carrying both long- and short-term memory of the propagation model variations are adaptively updated and ensembled to achieve robust image recovery. We demonstrate >99.9% accuracy in the transmission of 1024 spatial degree-of-freedom over 1km-length MMFs lasting over 1000 seconds. The long-term high-fidelity capability enables compressive encoded transfer of high-resolution video with orders of throughput enhancement, offering insights for artificial intelligence promoted diffusive spatial transmission in practical applications.
Related factors leading to sex ratio differences at birth in assisted reproductive technology pregnancies: A retrospective cohort study
Authors: Gong Bingchen , Huang Xueyao , Luo Zhenyu , Wang Wenrong , Ding Lingling 
Published: May 2023

Abstract
Background This study aimed to determine the effect of in vitro fertilization (IVF), intracytoplasmic sperm injection (ICSI), and individual factors on the sex ratio of offspring at birth in China.Methods This retrospective cohort study analyzed 6,700 infants (singletons and twins) who were born between December 2016 and December 2019 after fresh embryo transfer. The primary outcome measured was the secondary sex ratio (SSR) among live births.Results A total of 4,892 infants were born after cleavage-stage embryo transfer, and 1,808 infants were born after blastocyst-stage embryo transfer. The SSR for IVF was significantly higher than that for ICSI (SSR = 113 :100 vs. 92:100, P < 0.05). Male infertility significantly decreased the proportion of male offspring compared with non-male infertility. Multivariate logistic regression after adjusting for confounders revealed that neither the fertilization procedure nor the infertility cause had a significant effect on the SSR. The SSR of blastocyst-stage embryo transfer was higher than that of cleavage-stage embryo transfer, but the difference was not significant.Conclusions The live birth sex ratio in babies conceived using assisted reproductive technology was influenced by ICSI and male infertility, which may decrease the percentage of male offspring. Therefore, clinics should be aware of the gender bias when carrying out IVF / ICSI assisted pregnancies.
Flourishing Fields: Revolutionizing Agriculture with Soft Computing-based Plant Disease Detection
Authors: G Sriram , M Vignesh , D Saran , S Ayyasamy 
Published: May 2023

Abstract
Plant diseases can cause significant damage to crops, leading to significant economic losses for farmers. Early detection and management of plant diseases are crucial to prevent their spread and minimize their impact. In recent years, soft computing techniques have emerged as a promising approach for developing accurate and efficient plant disease detection systems. This paper presents a soft computing-based plant disease detection system, named Flourishing Fields, which utilizes machine learning algorithms to analyze images of plants and diagnose the presence of diseases. The proposed system integrates a convolutional neural network (CNN) and a support vector machine (SVM) to classify plant images into healthy or diseased categories. The CNN extracts feature from the images, which are then used as inputs for the SVM classifier. The proposed system was evaluated using a publicly available dataset of plant images, and the results show that it achieves an accuracy of 94.5%, outperforming several existing state-of-the-art methods. The proposed system is expected to revolutionize agriculture by providing farmers with an efficient and reliable tool for detecting and managing plant diseases, thereby improving crop yield and reducing economic losses.
Transforming 21 St Century Students’ Styles of Learning: An Introduction to Critical Pedagogy Into ELT Classrooms
Authors: K Lakshmi. , C Kalaiselvi. , Richard Titus , Rajendran Jayanthi 
Published: May 2023

Abstract
It is commonly regarded to be beneficial to both learners and educators, if recognizing students' preferred learning styles. Apparently changing every student's learning style in the classroom is unthinkable, since they learn in various ways. All things being equal, educators could modify their training strategies to more readily match the learning styles of their understudies. The major tenets of this review are to depict and categorize the concept of learning patterns; second, to search out the significance of understanding and analyzing students' styles of learning; and third, to argue that students are making higher levels of progress if their pedagogues' strategies or the method in which they receive guidance match their styles of learning. Moreover, it is proposed that instructors use a fair method of teaching styles to deal with a variety of learning types. The review utilizes a hypothetical way to deal with review of related literature and gives different points of view on the best way to coordinate as well as mismatching learning styles with instructing styles.
Photo switchable 4D printing remotely controlled responsive and mechanically robust shape memory polymer nanocomposites
Authors: Zhang Biao , Feng Shiwei , Peng Xuelin , Cui Jingjing , Feng Ruiqi , Sun Yongding , Guo Yunlong , Lu Zhe , Gao Weizi , Liu Fukang , Liang Chen , Hu Guang 
Published: May 2023

Abstract
Photo-triggered shape morphing structures can be found in myriads of areas. Utilizing light as a switch can effectively control and regulate the precise deformation of structures. However, the integration of photo switching functions in shape morphing structures with complex geometries remains a challenge. Here, we report photo switchable digital light processing based 4D printing high-resolution and highly complex geometries, based on UV curable WO2.9 nanoparticle doped shape memory polymer nanocomposites, which are highly deformable (stretchability up to ~1000% at rubbery state) and fatigue resistant (repeatedly loaded > 1200 times at ambient temperature). The presence of just trace WO2.9 nanoparticles (< 0.20 wt.‰) contributes to the controlled photothermal property of nanocomposite via selective absorption of light, which enables reversibly photo switchable (＞50 times), spatial and remote control of 4D printing shape morphing structures. These findings offer a promising approach to expanding the applications of photo-triggered shape morphing structures.
Milliampere-level hydrovoltaic power generation through the asymmetric electric double layer of water-graphite interface
Authors: Huang Huihui , He Dunren , Nie Wanyi 
Published: May 2023

Abstract
Hydrovoltaic technology is a promising approach for clean and renewable energy generation, owing to its unique ability to generate electricity from the interactions between nanomaterials and abundant water. However, the output current of hydroelectric generators needs improvement, which is usually below 1 mA. Here, we demonstrate a large-scale integration of water-graphite hydroelectric generators that can produce an output current of up to 58 mA, surpassing the performance of existing hydroelectric generators, and capable of powering commercial electronics, such as electric fans and full-color liquid crystal display screens. The high current is achieved by utilizing the asymmetric electric double layer formed at the water-graphite interface when immersed in water. Our results show that this low-cost and scalable hydroelectric generator has the potential to significantly expand the application domain and facilitate the development of clean and renewable energy sources.
Analyzing the Electrical Characteristics of P-gate Enhanced HEMT with C-doped Buffer Layer through Silvaco
Authors: Wang Xiao , Lin Zhi-Yu , Zhang Yu-Min , Wang Jian-Feng , Xu Ke 
Published: May 2023

Abstract
The C-doped P-gate-enhanced HEMT (PEHEMT) is simulated by using the Silvaco T-CAD tool. The interaction among the C acceptor trap, electron and hole in the buffer layer at different voltages promotes interesting electrical characteristic within the device. In off-state conditions, the peak electric field position shifts from the edge of gate to the edge of drain. During the process of peak electric field transfer, the gate electric field gradually saturates, and the increase rate of peak electric field shows a turning point at 350V (Vd < 600 V). As the voltage further increases (Vd > 600 V), the increase rate of the drain electric field gradually slows down and tends to saturation, and the corresponding saturated gate electric field begins to increase. The uniform, quasi- linear, and step distributions of three different C acceptor in the buffer layer exhibit different degrees of current collapse under 1 ms bias stress, with values of 21.8%, 12.7%, and 12.8%, respectively. In this work, we have provided appropriate explanations for the above phenomena.
Bounds in normed spaces using convex functions
Authors: Sababheh Mohammad , Furuichi Shigeru , Minculete Nicusor , Moradi Hamid 
Published: May 2023

Abstract
In this paper, we present several new bounds in normed spaces, with applications toward subadditivity behavior and angular distances, in these spaces, with an additional application towards Hilbert space operators.
The main tool we use to establish our results is the treatment of convex functions and their properties.
Clinical Efficacy of Venetoclax and Azacitidine Treatment for an AML-M5 Patient with Poor Prognosis MDS-EB2 Transformation: A Case Report
Authors: Li Jianjun , Chen Yingying , Ruan Min , Qian Wei , Wang Yi , Jin Fengbo , Xia Leiming 
Published: May 2023

Abstract
Combination therapy using combination of venetoclax and azacytidine (VEN+AZA) has shown potential in treating acute myeloid leukemia (AML). However, its effectiveness may vary depending on the patient's disease background and genetic mutations. In this case study, we present a patient with M5 type AML who was not a suitable candidate for VEN+AZA treatment. The patient did not respond to the treatment, and the disease rapidly progressed, ultimately leading to the patient's death. In vitrodrug sensitivity assays revealed that the patient's primary leukemia cells were not sensitive to anthracyclines, venetoclax, and azacitidine. Therefore, we recommend conducting in vitro drug sensitivity testing and detecting the patient's genetic mutation spectrum before starting induction therapy. This can help predict the effectiveness of the VEN+AZA regimen in AML patients. Additionally, it is crucial to monitor minimal residual disease (MRD) to evaluate disease remission and treatment response in AML patients.
Global trends of and perspectives on intercropping research: A bibliometric review
Authors: Tang Yurui , Qiu Yurong , Li Xiao-Fei , Li Yabing , Xu Huasen 
Published: May 2023

Abstract
Background and Aims Intercropping is an agroecological strategy to optimize resource-use efficiency and crop yield. In recent decades, therefore, intercropping has gained strongly increasing attention as a more sustainable land management alternative to monoculture-oriented intensive agriculture. However, few studies have attempted to perform a comprehensive and systematic review of this subject from a bibliometric perspective.Methods This study carried out a quantitative bibliometric analysis to critically review research on intercropping globally from 1995 to 2021. A total of 7574 publications from the Web of Science Core Collection were analyzed to explore the characteristics of publications, research hotspots, and future frontiers.Results The results showed that the number of publications related to intercropping increased since 2007, with Chinese scholars and research institutes contributing the most. The journal with the most publications was Agroforestry Systems, and Plant and Soil ranked fifth. Research on intercropping has evolved, with the focus shifting from yield and plant interspecific interactions and then to sustainable agriculture. Moreover, keyword burst analysis showed that research frontiers were mainly concentrated on sustainable intensification, microbial community, and climate change adaptation.Conclusions This study provides a better understanding of the progress in research on intercropping that has occurred over the past 27 years, offering ideas and references for future research.
Phytomanagement improves soil aggregation and ecological security near tailings
Authors: Ju Wenliang , Liu Ji , Fan Qiaohui , Fang Linchuan 
Published: May 2023

Abstract
Aims Revegetation is an effective measure to improve soil structure and nutrients in erosion-prone areas. However, little is known about the impact of diverse phytomanagement of revegetation on soil quality and ecological security near tailings.Methods We investigated the water-stability and soil aggregate nutrients and assessed the associated risk of heavy metal contamination under multiple phytomanagement (natural grassland, artificial forest, and artificial forest mixed with shrubs and herbs) near abandoned tailings on the Loess Plateau, comparing with the adjacent bare land.Results The results showed that phytomanagement significantly enhanced soil aggregate stability, as demonstrated by the rise in soil macro-aggregate proportion (> 0.25 mm, 10.5–22.4%) and geometric mean diameter (16.3–44.0%). Furthermore, the soil organic carbon content (SOC), glomalin-related soil protein (GRSP), aromatic-C, and alkene-C in macro-aggregates increased alongside aggregate stability enhancement. The increased stability of soil aggregates following phytomanagement could reduce the risk of heavy metal leaching, but the increased concentration of heavy metals in the aggregates. In addition, the management of artificial forests mixed with shrubs and herbs greatly reduced the ecological risk of heavy metal pollution compared to other phytomanagement. SOC and GRSP were identified as key factors influencing the risk of heavy metal contamination in soil aggregates following phytomanagement.Conclusion Our study highlights that revegetation of tailings improves soil quality and ecological security by increasing the stability of soil structure as well as SOC and GRSP within the aggregates. Artificial forests mixed with shrubs and herbs could be an optimal phytomanagement to achieve environmental sustainability in tailings areas.
Investigation of Some Fish Species of Scombridae Family in Terms of Parasites
Authors: ALDIK Ruhay , CAKIR Fikret , YAYINTAS Ozlem , OKTENER Ahmet , KIZILYILDIRIM Suna , EROGLU Huseyin Avni , Sen Yusuf 
Published: May 2023

Abstract

In the study, cystic formations obtained from the gills, body cavity and internal organs of some fish species belonging to the Scombridae family were investigated. Fish materials were obtained from Çanakkale Fish Market. The fish were sampled for six months according to the frequency of their presence in the stalls. In the study, chub mackerel (Scomber japonicus Houttuyn, 1782) and mackerel (Scomber scombrus Linnaeus, 1758) were determined as the main fish samples. The bluefin tuna (Thunnus thynnus Linnaeus, 1758) caught with certain rules between May and July, and samples were also obtained and included in the study based on samples. Samples isolated from gills, body cavities and internal organs were kept in tubes containing absolute ethanol with infected tissue and examined under a stereo and then a light microscope and species identifications were performed using classical methods. Molecular methods were used for identification of nematodes where no clear species could be determined. Fifty cystic and free nematode, 50 didymozoon cysts and 80 (53 female, 27 male) parasitic copepods were isolated from total the samples. Parasitic copepods isolated from bluefin tuna fishes were identified as Euryphorus brachypterus(Gerstaecker, 1853), and those isolated from mackerel as Clavellisa scombri(Kurz, 1877).