bluuebunny/crossref_metadata_2025 huggingface dataset:
Volatile compounds from garlic (Allium sativum L.) mustard (Brassica nigra L.) oil macerate enhances the activity of multiple antibiotics against Staphylococcus aureus: A In-vitro and in silico study.
Authors: Singha Joydeep , Dutta Nipu , Saikia Jyoti Prasad
Published: August 2023

Staphylococcus aureus is known to be associated with various human infections worldwide. Due to an increase in antibiotic resistance, S. aureus infections are difficult to cure with the present generation of antibiotics. Therefore, new antibacterial compounds or adjuvant discovery is in demand at present. In the present research garlic mustard oil macerate is prepared by heating garlic cloves macerated in mustard oil for 4 hours at 80 ºC. The effect of the macerate vapour on the antibacterial activity of gentamycin, kanamycin, and streptomycin against S. aureus was examined and found to be significantly increased compared to antibiotics alone. GMM vapour inhibited the staphyloxanthin production by 44.237±0.14 % compared to mustard oil vapour treated bacterial cells. The bacterial cell membrane disruption was seen during SEM analysis on the bacterial cells treated with GMM vapour. LCMS and GCMS analysis confirmed the presence of 2-vinyl-4H-1,3, dithiin, ajoene, allicin, sinigrin, and allyl isothiocyanate (AITC). In-silico molecular docking analysis has shown hydrophobic and Van der Waals interaction of the phytochemicals with dehydroxysqualene synthase protein (crtM) of S. aureus. However, allicin and sinigrin had also shown hydrogen bonding with crtM proteins.
Stress tolerant species are keys to plant communities success on extensive green roof: an experimental test of CSR strategy dynamic
Authors: Rivière Lucie , Meeûs Sophie , Mahy Gregory
Published: August 2023

Selecting appropriate native plant species to ensure the resilience of plant communities and ecosystem services on extensive green roofs is a challenge. Plant functional strategy models provide a useful framework for identifying plant characteristics that promote plant success on green roofs, and for generalizing results obtained with limited number of species to a global flora.
We analysed the dynamics of floristic composition and CSR strategies of seeded plant communities on experimental extensive green roofs under different stress conditions (substrate depths and fertilization treatments) at early establishment (4 years).
Floristic composition evolved strongly over four years, with a significant reduction in species richness and equitability due to the increasing dominance of the stress-tolerant Sedum album. CSR strategies shifted from initial communities co-dominated by C and R strategies to communities largely dominated by S strategy four years later. Changes in plant communities strategy were modulated by substrate depth with higher increase in S strategy under more stressful conditions. At the installation of vegetation, the dominant factor discriminating CSR composition was fertilization supply. Substrate depth emerged as the primary factor determining CSR strategy after four years of plant community establishment.
Our study supports the pattern that stress-tolerant species tend to rapidly dominate plant communities on extensive green roofs and suggests that native species selection, for implementing analogous habitat on extensive green roofs, in temperate climate, should primarily focus on natural habitats composed of stress-tolerant species. A mix of different functional strategies can be favourable to vegetation success on green roofs with environmental heterogeneity.
Nanobiomechanical data classified by Deep learning based on convolutional neural networks
Authors: Martinez-Rivas Adrian , Formosa-Dague Cecile , Espinal Luis Emilio Magana , -Chemin Ophelie Thomas- , Carillo Kevin , Severac Childerick , DAGUE Etienne
Published: August 2023

Nanobiomechanical data have an interest in biomedical research, but the capability of deep learning (DL) based on convolutional neural networks (CNN) has not been explored to classify such data. We propose to use these strategies to treat nanobiomechanical data acquired by atomic force microscopy (AFM) on Candida albicans living cells, an opportunistic pathogenic micro-organism of medical interest. Data, acquired by force spectroscopy, allowed us to generate force vs. distance curves (FD curves) which its profile is linked to nanobiomechanical properties of C. albicans. DL was applied to classify FD curves, considered as images, into 3 groups: adhesive nanodomains, non-adhesive domains or in between domains. We achieved a real multiclass classification with a validation accuracy, macro-average of F1, and the weighted average of 92%, without the need to perform the usual dropout or weight regularisation methods. Transfer learning with a pre-trained (PT) VGG16 architecture with and without fine tuning (FT) permitted us to verify that our model is less computationally complex and better fitted. The generalisation was done by classifying on other C. albicans cells with more that 99% of confidence, to finally predict 16,384 FD curves in less than 90 seconds. This model could be employed by a non-machine learning specialist as the trained model can be downloaded to predict the adhesiveness, within seconds, on C. albicans cells characterized by AFM.
Outcomes of patients with gallbladder cancer presenting with acute cholecystitis
Authors: Franco Nunzio , Lau Ngee-Soon , Liu Wai M , Rahim Aadil , Fadia Mitali , Chua Yu Jo , Jain Ankit , Yip Desmond , Gananadha Sivakumar
Published: August 2023

The main purpose of this study is to explore the outcomes of patients with found to have gallbladder cancer after emergency cholecystectomy for acute cholecystitis versus those found incidentally. The true incidence of primary gallbladder cancer co-existing in acute cholecystitis is not defined especially in the Western population with high incidence of gallstone disease and a low incidence of gallbladder cancer.
Methods
A retrospective review of all patients with gallbladder cancer managed at the Canberra Health Service between 1998 and May 2022 were identified and reviewed.
Results
A total of 65 patients were diagnosed with primary gallbladder cancer during the study period with a mean age of 70.4 years (SD 11.4, range 59-81.8 years) and a female preponderance (74% versus 26%) with a ratio of 2.8. Twenty (31%) patients presented with acute calculus cholecystitis and were found to have a primary gallbladder cancer. This group of patients were older and predominantly female but the difference was not statistically significant. The overall 5-year survival in the cohort was 20% (stage 1-63%, stage 2- 23%, stage 3- 16% and stage 4- 0%). There was no statistically significant difference in survival between those who presented with acute cholecystitis vs other presentations.
Conclusions
A third of the patients with gallbladder cancer presented with acute cholecystitis. There was no statistically significant difference in survival in those with bile spillage during cholecystectomy as well those presenting with acute cholecystitis.
Effect of Panax notoginseng intervention on the autophagy mechanism in a rat model of deep vein thrombosis
Authors: Wang Dafen , Zhu Chen , Shi Ying , Jiang Chufeng , Wang Lingcong , Cai Danli
Published: August 2023

Objective
To establish a rat model of deep vein thrombosis (DVT) via the ligation of the inferior vena cava and investigate the intervention effect of Panax notoginseng (PN) on autophagy in DVT rats.
Methods
A rat model of DVT was established, and the rats were treated with PN and low-molecular-weight heparin (enoxaparin sodium injection) to observe the effect of PN on autophagy.
Results
In the model group, hematoxylin and eosin (H&E) staining revealed high levels of thrombosis and inflammatory cell infiltration. In the model group, Beclin1, P62, and LC3 mRNA expression was significantly increased. The P-selectin content increased significantly, and the red blood cell count and hemoglobin level decreased significantly. In the model + PN (M + PN) group, H&E staining revealed reduced thrombosis formation; a small area of recanalization was observed, and one sample showed no obvious thrombosis. Beclin1, P62, and LC3 mRNA expression was significantly downregulated. H&E staining revealed reduced thrombus formation in the model + low-molecular-weight heparin (M + LMWH) group compared with the model group; neither M + LMWH sample showed obvious thrombus formation. However, only LC3 mRNA expression was downregulated. The content of P-selectin was decreased and the red blood cell count was increased.
Conclusion
DVT rats exhibited autophagy, and PN improved DVT by inhibiting the autophagy process.
CMMSE: Upper and Lower Bounds for the Sum-Lordeg Index on unicyclic graphs
Authors: Martínez-Pérez Alvaro , Molina Edil , Rodríguez José M. , Sigarreta José M.
Published: August 2023

Topological indices are used to understand physicochemical properties of chemical compounds,since they capture some properties of a molecule in a single number. The \emph{sum lordeg index} is defined as$$SL(G) = \sum_{u\in V(G)} d_u \sqrt{\log d_u} \,.$$This index is interesting from an applied viewpoint sinceit is the best predictor of octanol-water partitioncoefficient for octane isomers. The aim of this paper is to obtain new inequalities for the Sum-Lordeg Index restricted to unicyclic graphsand to characterize the set of extremal graphs.Our main results provide upper and lower bounds for this topological index on unicyclic graphs, fixing or not the number of pendant vertices, and finding the corresponding extremal graphs.Also, we provide some new relations between the Sum-Lordeg Index and other indices as the First Variable Zagreb index or the Narumi-Katayama Index.Finally, we show that the sum lordeg index is an important tool for predicting the boiling point of cycloalkanes isomers.
MSC Classi cation: 05C09 , 05C92 , 92E10.
Optimal RF-Chain Selection with Hybrid Analog and Digital Beamformer Design Using Deep Learning in mmWave Communication System
Authors: Kotikalapudi C Shekhar , P Jeyakumar , Kamj Divya Sri , Sanjai B , Muthuchidambaranathan P
Published: August 2023

Energy efficiency is treated as an important performance metric in wireless communication systems, and selecting the appropriate RF chains plays a vital role in maximizing overall system performance, energy efficiency , and spectral efficiency. To maximize energy efficiency and spectral efficiency, a two-level optimization technique for RF chain selection and beamforming is proposed in this paper. In the first level, RF chain selection is performed using particle swarm optimization (PSO) algorithm to maximize system rate. The selected RF chains are then used in the second level, where a two-stage deep learning-based Beamform-ing Neural Network (BFNN) is employed to optimize the beamforming process while being robust to imperfect channel state information (CSI). The BFNN takes the estimated CSI as input and outputs the optimized analog beamformer. The proposed BFNN is trained using a loss function tailored for beamforming optimization. Experimental results validate the effectiveness of the proposed method, showcasing significant improvements in spectral efficiency, while mitigating the effects of imperfect CSI. The spectral efficiency with and without RF selection using PSO is 51.5439 and 47.7258 respectively at SNR of 20dB. This approach provides an efficient and robust solution for RF chain selection and beamforming optimization in wireless communication systems.
Deep Reinforcement Learning for Resource Management in Network Function Virtualization
Authors: Neyigapula Bheema Shanker
Published: August 2023

Network Function Virtualization (NFV) has revolutionized the networking land- scape by enabling the flexible deployment of network services through software. However, efficient resource management remains a critical challenge in NFV envi- ronments due to the dynamic nature of network conditions and workloads. This research paper proposes a novel approach to address this challenge by employing deep reinforcement learning techniques for resource management in NFV. The paper presents a comprehensive framework that combines deep reinforcement learning principles with NFV’s resource allocation problem. By leveraging this approach, intelligent and adaptive resource allocation strategies are developed, enhancing NFV performance, reducing operational costs, and optimizing resource utilization. Through rigorous experimentation and analysis, the paper evaluates the proposed framework’s effectiveness, comparing it with existing methods and showcasing its potential to transform NFV resource management.
Laplacian Spectrum of Graphs and new L-Borderenergetic Families
Authors: Dede Cahit
Published: August 2023

In the first part of this paper, we present the Laplacian spectrum of some graphs composed of complete graphs. To begin with, we give the Laplacian spectrum of G1 = aKi ∪ b(Kj × Kk) and then we find the values of i, b, j, k ∈ Z + for which G1 is Laplacian borderenergetic. Similarly, we give the Laplacian spectrum of G2 = aKi∇b(Kj × Kk) ∪ cKl and find the values of a, i, b, j, k, c, l ∈ Z + for which G2 is Laplacian borderenergetic. In this part, we construct three infinite families of non-complete disconnected L-borderenergetic graphs: Λ1 = {Gb,j,k = (((j − 2)k − 2j + 2)b + 1)K (j−1)k−(j−2)) ∪ b(Kj × Kk)|b, j, k ∈ Z + }, Λ2 = {G2,b = [K6∇b(K2 × K3)] ∪ (4b − 2)K9|b ∈ Z + }, Λ3 = {G3,b = [bK8∇b(K2 × K4)] ∪ (14b − 4)K8b+6|b ∈ Z + }. Then, in the second part of this work, we construct new infinite families of non-complete connected L-borderenergetic graphs Ω1 = {K2∇aK r 2 |a ∈ Z + }, Ω2 = {aK3 ∪ 2(K2 × K3)|a ∈ Z + } and Ω3 = {aK5 ∪ (K3 × K3)|a ∈ Z + }.
MSC Classification: 05C50 , 05C76 , 15A18
Navigating Complexity: A Resource-Adaptive Framework for Cross-Lingual Sentiment Analysis in Resource-Scarce Languages
Authors: Neyigapula Bheema Shanker
Published: August 2023

Cross-lingual sentiment analysis, the task of determining the emotional tone of text in languages other than the one in which the analysis is performed, presents unique challenges, particularly for resource-scarce languages. This research paper investigates the complexities of cross-lingual sentiment analysis in the context of languages with limited linguistic resources. The paper delves into the challenges posed by data scarcity, language and culture bias, lexical and semantic variations, and the absence of gold standard annotations. Various approaches for address- ing these challenges are explored, including machine translation-based methods, multilingual pre-trained language models, transfer learning, cross-lingual embed- dings, and hybrid techniques. The proposed framework encompasses strategies for data collection and preprocessing, leveraging limited linguistic resources, model architecture, and evaluation. A case study highlights the application of the frame- work to a resource-scarce language, showcasing its efficacy in practical scenarios. Methodology, results, and discussion sections provide comprehensive insights into the effectiveness of the approaches. This paper contributes to advancing cross- lingual sentiment analysis techniques, particularly for languages with limited resources, and offers a roadmap for future research in this evolving field.
Complementarity of Green Building Implementation In Yogyakarta: I-O 2022 Analysis
Authors: Herawan Jonathan Ersten , Sus Yuvensius Sri
Published: August 2023

This study aims to test the effect of sectors that are able to complement the green building in influencing Yogyakarta regional economy. This study also adds element of environment externalities obtained from YoY and the average of Yogyakarta EQI change into the calculation of the I-O table. Generally, this study indicate that the application of green building can be implement by Government for pro-environment economic growth. The researcher found that green building which adheres to the concept of weak complimentary theory will be appropriate when applied to the design of priority development cities for development pruposes such as in construction and real estate sectors.
JEL Codes: C6, H7, O4, R3, R5
Effect of Preoperative Single-Dose Methylprednisolone Administration on Early Postoperative Pain Following Retrograde Intrarenal Surgery
Authors: Keskin Emin Taha , Bozkurt Muammer , Şahin Mehmet , Özdemir Harun , Şevik Çağrı , Canat Halil Lutfi
Published: August 2023

Aim:To evaluate the effect of preoperative single-dose methylprednisolone use on postoperative early pain after retrograde intrarenal surgery (RIRS).
Material and Metod: Patients who had a 10–20 mm solitary kidney stones and underwent RIRS procedures were included in this prospective cohort study between February 2022 and May 2023. Patients who were administered methylprednisolone at a dose of 1mg/kg preoperatively were included in group 1 (n: 31), and the other first 90 patients who met the inclusion criteria and did not receive methylprednisolone before surgery were included in group 2 (n:90). Demografic data, features of stone, postoperative pain at 1, 6, 12, 18, and 24 hours, the need for analgesics, changes of serum glucose levels and, the prevalence of postoperative fever were compared.
Results: Age, sex, stone laterality, localization, size, and Hounsfield Unit, modified Satava scores, stone-free status, duration of the RIRS procedure, and duration of the Ureteral Access Sheath were found to be similar between groups. VAS scores at postoperative 1, 6, 12, 18, and 24 hours were found to be statistically significantly lower in gourp 1 (p=.001, p=.001, p=.001, p=.001 and p=.001, respectively). Similarly, postoperative analgesic requirements were found to be significantly lower in group 1 (p=.048) with a similar postoperative fever rate and changes of serum glucose levels between groups.
Conclusion: Giving a single dose of metylprednisolone at a dose of 1mg/kg preoperatively during the RIRS procedure is safe and effective at preventing early pain and the need for analgesics after the RIRS procedure.
Accurate recognition of jujube tree trunks based on CLAHE image enhancement and improved YOLOv8
Authors: Ling Shunkang , Wang Nianyi , Li Jingbin , Wang Huting , Ding Longpeng , Li Yang , Nie Jing
Published: August 2023

Background
Agricultural image acquisition and target detection are the key links of agricultural precision and intelligence. Facing the practical problems of complex orchard environment and large workload, the existing target detection models have problems such as large number of parameters, slow detection speed, low detection accuracy and poor generalization.
Methods
In this paper, an improved YOLOv8 target detection model facing the complex environment of orchards is proposed. Firstly, the dataset is efficiently extracted using the key frame extraction algorithm, and the dataset is enhanced using the CLAHE image enhancement method; secondly, the backbone network of the YOLOv8 is replaced with the GhostNetv2 architecture, the GhostConv and GhostBottleneck modules are utilized for the lightweight modification. In addition, the CA_H attention mechanism is improved and added to the Neck part of YOLOv8 network architecture to form YOLOv8s-GhostNetv2-CA_H target detection model. Finally, the effectiveness of the improved model is verified using enhanced dataset comparison tests, ablation tests, and comparison tests with classical methods such as Faster R-CNN and YOLOv5s.
Results
The average precision of the enhanced dataset over the original dataset rises from 81.2–90.1%; the YOLOv8s-GhostNetv2-CA_H model proposed in this paper reduces the model size by 19.5% compared to the YOLOv8s base model, precision increased by 2.4–92.3%, recall increased by 1.4%, "mAP@0.5" increased by 1.8%, and FPS is 17.1% faster.
Conclusions
In the complex environment of jujube garden image enhancement has a greater impact on target detection accuracy enhancement, and, the performance of the method proposed in this paper is better than other related algorithms in practical applications.
Recurrent Miscarriage: A machine learning approach to uncover key genes and immune Infiltration
Authors: Lin Mengsi
Published: August 2023

Objective: Recurrent miscarriage (RM), defined as the failure to maintain more than two clinical pregnancies beyond the 20th week of gestation, remains a complex pathological condition with unclear underlying mechanisms. This study aimed to elucidate potential biomarkers and explore the extent of immune infiltration in RM, to inform and facilitate effective clinical treatments.
Methods: Leveraging the GSE76862 and GSE26787 datasets from the Gene Expression Omnibus (GEO) database, we implemented Weighted Gene Co-expression Network Analysis (WGCNA) and Protein-Protein Interaction (PPI) networks to identify five key genes (F2, EGF, NGF, IL13, and FOXP3). These genes showed a robust correlation with RM. Receiver Operating Characteristic (ROC) curve analysis, coupled with validation from external datasets (GSE26787 and GSE22490), demonstrated the high diagnostic accuracy of these key genes for RM. RT-PCR was employed to validate the expression of these key genes in RM samples. We further evaluated immune cell infiltration in RM tissues using the CIBERSORT package and examined the relationship between the expression levels of the five key genes and immune cell infiltration. Furthermore, we interrogated correlations between key genes and immune factors from the TISIDB database to unravel the roles of these key genes in the immune mediation of RM. Finally, through Gene Set Variation Analysis (GSVA), Circos analysis, and GeneMANIA, we delved into the roles of the key genes, anticipated gene interactions, and gained insights into the molecular mechanisms driving RM.
Conclusion: Our findings underscore that the five identified key genes (F2, EGF, NGF, IL13, and FOXP3) have intricate links with RM and could play pivotal roles in deciphering the molecular mechanisms underlying RM.
Iron stress affects the survival of Toxoplasma gondii
Authors: Ying Zhu , Yin Meng , Zhu Zifu , Shang Zheng , Pei Yanqun , Liu Jing , Liu Qun
Published: August 2023

Background
Iron possesses redox abilities and plays a crucial role in in biosynthesis, energy metabolism, and other biological processes. It represents an indispensable nutrient for the survival of Toxoplasma gondii. In response to Toxoplasma-infection, host cells employ a defensive strategy referred to as "nutritional immunity" to restrict the availability of iron, thus impeding T. gondii from obtaining sufficient amounts of this vital element. The present research aims to examine the impact of iron stress on T. gondii, including iron deficiency and iron overload, and to explore the feasibility of disturbing the iron homeostasis as a potential treatment for toxoplasmosis.
Methods
An iron-deficient environment was induced by supplementing the culture medium with the permeable iron chelator, deferoxamine mesylate (DFO), while ammonium iron(II) sulfate was utilized as an iron supplement to establish an iron overload environment. Experiments were conducted to assess the impact of different iron levels on T. gondii's proliferation ability, invasion ability, escape ability, and plaque formation, Additionally, the redox ability of T. gondii under varying iron stress conditions was examined. Transcriptome analysis was employed to investigate the differential gene expression of T. gondii under iron deficiency and iron overload. Lastly, iron chelation therapy and iron supplementation therapy were administered to mice infected with T. gondii to assess the potential of targeting iron homeostasis disruption for the treatment of toxoplasmosis.
Results
Iron supplementation and the iron chelating agent significantly influence the growth of T. gondii. Low iron stress inhibits the proliferation of T. gondii and greatly reduces plaque formation, whereas high iron stress increases the invasion ability while significantly reducing proliferation. Altered iron levels perturb the redox capacity of T. gondii, resulting in a substantial increase in oxidation products (GSSG and MDA), reactive oxygen species (ROS), and superoxide anions under high iron stress. Under iron deficiency, specific genes pertaining to bradyzoites are up-regulated, thereby facilitating the conversion of tachyzoites to bradyzoites in the Pru strain. Conversely, under iron overload, a significant up-regulation of surface protein genes in T. gondii occurs, leading to an enhanced adhesion ability. Notably, the administration of iron supplements and iron chelating agents has no discernible effect on the mortality rates of Toxoplasma-infected mice. Nevertheless, mice infected with T. gondii exhibit significant weight loss and aggravated symptoms following iron supplementation therapy.
Conclusions
This study unequivocally confirms the essentiality of iron as a nutrient for T. gondii survival. Iron stress, including iron deficiency and iron overload, affects the growth of T. gondii.
Development and validation of a novel nomogram for predicting overall survival of lung cancer patients treated with immune checkpoint inhibitors: A retrospective cohort study in China
Authors: Mu Li , Pan Lingyun , Lei Haike , Tang Zongwei , Hu Xiaogang , Peng Guiqin , Li Wei , Lai Xiangyu , Wang Xiaoxiao , Chen Wanyi
Published: August 2023

Background
The purpose of this study was to establish a simple-to-use nomogram for predicting overall survival (OS) among lung cancer patients treated with immune checkpoint inhibitors (ICIs) based on robust clinicopathological prognostic factors.
Materials and Methods
A total of 1314 patients with lung cancer who had received ICIs therapy were followed up, and R statistical software was used for statistical analysis. The independent prognostic factors of OS were obtained by Cox regression, The consistency index (C-index) value, calibration curve and decision curve analysis (DCA) are used to evaluate the performance and identification ability of nomogram.
Results
Nine prognostic factors, including age, tumor node metastasis classification stage (TNM stage), surgery, radiation, Karnofsky performance status (KPS), histology, multidrug Therapy, D-dimer, albumin (ALB) were obtained by variable screening and combining with clinical practice. On this basis, the nomogram was developed to predict lung cancer patients' prognoses with ICIs treatment. Nomogram's C-index was calculated to predict 1-, 2-, and 3-year OS response 0.720(95% CI, 0.667–0.723), 0.742(95% CI, 0.686–0.797), 0.683(95% CI, 0.604–0.763), respectively, in the training cohort (P < 0.001). In the validation cohort, the C-indexes were 0.727 (95% CI, 0.649–0.806), 0.659 (95% CI, 0.562–0.755), and 0.637(95% CI, 0.482–0.792), respectively. DCA demonstrated that the nomogram was beneficial to clinical practice, Using the nomogram, lung cancer patients were categorized into two groups based on their mortality risk. In addition, a dynamic nomogram of the network services calculator was built.
Conclusion
A predictive nomogram based on commonly available factors could help clinicians screen lung cancer patients who would benefit from ICIs treatment and provide robust personalized prognostication.
JQ1 inhibits the proliferation of thyroid cancer TPC-1 cells by regulating the ferroptosis genes ALOX5 and GDF15
Authors: Liu Rong , Shi Jiyuan , Gao Yunran , Xu Xiling , Zhang Yuxin , Luo Yumei , Du Juan , Li Chuanying
Published: August 2023

Background Thyroid cancer (THCA) is one of the most common malignant endocrine tumors in the world. Current studies suggest that ferroptosis is closely related to the growth and proliferation of cancer cells. The purpose of this study was to find biomarkers that could diagnose the occurrence of THCA and to identify potential compounds that could be used to treat THCA.Methods The GEO, GEPIA, STRING, FerrDb, CPTAC and TIMER databases were used to analyse ferroptosis-related differentially expressed genes (DEGs) in THCA patients. Experiments were used to verify the expression levels of DEGs in THCA tissues and the expression and proliferation ability in cells. The CTD database was used to screen for compounds that modulate DEGs.Results We searched for three DEGs associated with ferroptosis were differentially expressed between THCA and normal tissues. We used TCGA-THCA and GEPIA-THCA datasets to evaluate the findings that ALOX5 and GDF15 gene expression were suitable for further study. We developed a diagnostic prediction model based on ferroptosis-related DEGs with an area under the curve greater than 0.8 and functional enrichment analysis showing correlations with immunity cells. Knockdown of ALOX5 and GDF15 attenuated the proliferative capacity of THCA cells. We used the CTD dataset to identify four compounds that regulate ALOX5 and GDF15, among which JQ1 could be a potential drug for regulating ALOX5 and GDF15 for THCA treatment.Conclusion We constructed a diagnostic model based on ferroptosis-related genes, thereby providing unique insights into the search for potential molecular markers for THCA diagnosis and treatment.
Research on Concept Drift Algorithm Based on Evolutionary Computation
Authors: Kou Ai-Jun , Huang Xu , Sun Wen-Xue
Published: August 2023

Concept drift in data streams can seriously affect the performance and stability of data stream classification algorithms and reduce the generalization performance of integrated learning models. To address the Concept drift problem in dichotomous data streams, this paper proposes a modeling method for enhancing inter-base learner diversity based on evolutionary computation techniques. The method first groups each base learner according to its performance on the sliding window. Secondly, the base learning periods are evolved based on evolutionary techniques. Further, the concept of gene flow is introduced to increase the diversity among base learners and improve the prediction performance of Concept drift. The results on real and artificial datasets show that the comprehensive performance of the proposed method is better than other similar methods.
Comparative Study and Characterization of Cellulose Nanowhiskers Extraction from Palm Fibers by Different Methods
Authors: Fu Duoqing , Fan Fangwei , Zhang Kai , Wu Yuyang , Wang Tiaojiao , Li Changgong , Yu Jinhan , cao xinwang , Li Shengyu , Deng Zhongmin
Published: August 2023

Cellulose nanowhiskers as one kind of renewable and biocompatible nanomaterials evoke much interest because of its versatility in various applications. Herein, palm based cellulose nanowhiskers were prepared by TEMPO oxidation and acid combined enzymatic hydrolysis combined with homogenization, respectively. With the increase of sodium hydroxide concentration, the crystal form of the prepared palm fibers will gradually change from cellulose I to cellulose II. The crystallinity of the nanocellulose prepared by the two TEMPO oxidation systems has little change, which were 63.87% and 60.65%, respectively. While the acid combined enzymatic hydrolysis method increased the crystallinity of palm nanocellulose to 66.59%. The nanocelluloses prepared by the two TEMPO oxidation methods had no obvious difference in shape and size, were all needle-like structures with a diameter of about 10–50 nm. The suspensions were transparent with the optical transmittance of about 90%. While the nanocellulose prepared by the acid combined enzymatic hydrolysis is rod-shaped with a diameter of 30 nm, and the optical transmittance is about 81%. The versatile palm cellulose nanowhiskers would be particularly useful for applications in the nanocomposites as reinforcing phase, as well as in tissue engineering, filtration, pharmaceutical and optical industries as additives.
Deep-APT: Deep Learning based Efficient Accident Prevention Technique in Fogged Environment
Authors: M Ramya Devi , S Lokesh , A Ahilan
Published: August 2023

Image defogging is an innovative strategy for recovering images in foggy environments that has gotten a lot of attention in recent years because of its use in surveillance systems. The standard defogging algorithm, on the other hand, has difficulty merging the depth of picture detail and the colour of the picture. In this paper, a novel Accident Prevention Technique (Deep-APT) has been proposed to effectively restore fog-free images and prevent accidents using FasterRCNN network. Initially, a dashboard camera monitors the road ahead of the vehicle and collects video. This video sequence is converted to frames. The transformed images are pre-processed using an Adaptive dual threshold Tetrolet transform that preprocess foggy images to fog-free images it is used to remove noise in the input image. Based on the defogged image, use FasterRCNN technology to detect objects in front of the car. The Deep-APT method has been simulated using MATLAB. The experimental result shows the proposed Deep-APT yields an overall accuracy is 99.52%. As compared to existing techniques, the proposed FasterRCNN network shows better results in terms of precision, F1 score, accuracy, and recall. Using DAWN dataset, the MSE, SSIM and PSNR values for the proposed method are 0.12, 0.65 and 0.12. The Deep-APT network improves the overall accuracy of 15.43%, and 4.72% better than CR-YOLnet, and RDL respectively.
Toward Next Generation Mixed Reality Games: AResearch Through Design Approach
Authors: Xiao Ruowei , Zhang Rongzheng , Buruk Oğuz , Hamari Juho , Virkki Johanna
Published: August 2023

Mixed reality (MR) games refer to games that integrate physical entities with digitally mediated contents. Currently, it entails relatively high development efforts and technical threshold to incorporate multiple virtual and physical building blocks. Moreover, the absence of a coherent technology stack renders the design and development process even more challenging than conventional digital games. This research proposed an MR game technology stack that affords a wide spectrum of virtual and physical modules with flexibility to adapt to specific application domains and on-cite needs. We adopted a Research-through-Design (RtD) approach. We first surveyed 24 state-of-the-art studies, and results were synergized into three different spectra of technological affordances, respectively activity range, user interface and feedback control. Based on the initial insights, we then went through two iterations and resulted in an MR game technology stack. A user co-design workshop was further conducted, where 15 participants with different game making experiences were invited to try the proposed technology stack, and 4 conceptual game designs were generated after hands-on tutorial and group co-ideation sessions. We also collected participant feedback via user survey and semi-structured interview. The proposed technology stack received an overall positive feedback, particularly the innovative in-game interactions and the motivation for game creation it brought to the users.
Repetitive Stress Injury In The Lower Extremity Due To Foot Stances During Weight Squats
Authors: Kulshrestha Yash , Singh Baij Nath , Mishra Pawan
Published: August 2023

This study aimed to investigate the relationship between different foot stances during weight squats and knee injuries resulting from repetitive movement, specifically focusing on repetitive stress injuries (RSIs). An integrative approach combining computational simulations with experimental data was used to analyse the biomechanical behaviour of the knee joint and surrounding structures. The results demonstrated that foot placement significantly affected knee alignment, and deviations from optimal alignment increased the risk of proximal tibial stress fracture and hip dysplasia.
Insights into the synergistic radioprotection by secondary metabolites of Pterocarpus santalinus L. aqueous extract
Authors: Ghali E N Hanuma kumar , Sandopu Sravan Kumar , Maurya Dharmendra Kumar , Meriga Balaji
Published: August 2023

Radioprotective mechanism of chloroform and hydroalcoholic extracts of Pterocarpus santalinus on spleen lymphocytes and sub-cellular systems were previously studied. In the present study, we have attempted a comprehensive assessment of the synergistic radioprotective efficacy of Pterocarpus santalinus aqueous extract (PSAE). All the studied models were gamma-irradiated with prior treatment with PSAE. First, the content of total phenols (4.061 µg mg− 1 Gallic acid equivalents), flavonoids (6.616 µg mg− 1 Quercetin equivalents), and anthocyanins (0.008 mg Cyn3-glu/g) were determined spectrophotometrically. Second, UHPLC-HRMS analysis was performed to identify the possible radioprotectors. Of those, Santalins A & B are known for their usage as natural color in foods and alcoholic beverages identified in PSAE. Treatment was well tolerated with no side effects from PSAE. Later, it was shown that radiation-induced lethality significantly amended in PSAE-treated spleen lymphocytes as evidenced by reduced elevated levels of ROS and lipid peroxidation, restored total thiols and GSH: GSSG, inhibited DNA DSBs and apoptosis. Furthermore, an immunomodulation study was carried out, because radiation exposure induces an inflammatory response. Our study shows that PSAE suppressed concanavalin A-induced T-cell proliferation as evidenced by CFSE dye dilution and CD69 antibody staining methods. Taken together, the current study explored the protective efficacy of PSAE from gamma radiation-inflicted injuries and hence we recommend PSAE as a synergistic radioprotective formulation.
The impact of surgical case order on short-term and long-term outcomes in patients undergoing laparoscopic gastrectomy: a propensity matched study
Authors: Shao Min , Chen Jun-Yu , Zhong Qing , Qiu Tao-Yuan , Liu Zhi-Yu , Lin Guang-Tan , Tang Yi-Hui , Zheng Li-Na , Wang Jia-Bin , Lin Jian-Xian , Lu Jun , Chen Qi-Yue , Xie Jian-Wei , Li Ping , Zheng Chao-Hui , Huang Chang-Ming
Published: August 2023

Background and aim: Whether the surgical case order is an important factor affecting the short- and long-term outcomes of patients with GC has always been a concern. This study aimed to compare the short- and long-term outcomes of different surgical case orders
Methods: We included patients who underwent laparoscopy-assisted radical gastrectomy at the Union Hospital of Fujian Medical University (Fuzhou, China) between January 2016 and December 2017. In total, 1235 patients (No.1 (n=497), No.2 (n=426), and Other groups (n=312)) were included in the propensity score matching (PSM, 1:1:1).
Results: After PSM, there were no significant differences in clinicopathological characteristics between the No.1, No.2, and the Other groups. The operative duration in the Other group was significantly longer than that in groups No.1 and No.2. The volume of blood loss in the No.2 and the Other group was significantly higher than that in the No.1 group. Kaplan-Meier survival analysis revealed similar five-year overall survival (OS) and disease-free survival (DFS) rates among the three groups. Multivariate Cox regression analysis showed that surgical case order was not independent risk factors for 5-year OS and DFS. Further analysis showed no significant difference in the 5-year OS and DFS among patients with different surgical case orders, regardless of age, pT stage, or range of gastrectomy (P > 0.05).
Conclusions: In high-volume centers, different surgical case orders can only affect operative time and intraoperative bleeding but not short- or long-term outcomes. Surgeons should reasonably schedule surgeries to provide better medical services and to improve patient motivation and care.
Influence of triangle shape fiber in tunnel lining concrete: An innovative approach
Authors: katariwala avni
Published: August 2023

Polypropylene (PP) fibers have properties suitable for reinforcement in concrete. Polypropylene Triangular Polyester Fiber Reinforced Concrete (PPT-PFRC) is a type of fiber reinforced concrete that uses a combination of PP and triangular polyester fibers to enhance the strength and durability of the concrete. The study analyses the properties of hardened concrete and PPT-PFRC mixes to study the axial force, shear force, and bending moment between normal and PPT-PFRC specimens. The researchers are currently attempting to analyze tunnel lining behavior in a static state, although FRC offers more advantages in seismic vibration and blast loading. The goal of this study is to investigate utilization of PPT-PFRC in a tube tunnel to improve the strength of the tunnel. The comparison shows that ordinary concrete has two significant flaws, i.e., poor strength and low strain, however, PPT-PFRC concrete has more toughness and vibration damping.
Prevalence and epidemiological profile of cervical cancer patients attending Nyeri County and Referral Hospital, Kenya: a review of records 2017 – 2022.
Authors: Mbuthia Florence , Gitonga Moses , Mbuthia Beth
Published: August 2023

Introduction
Cervical cancer is the leading cause of cancer mortality in Kenya. This study aimed to establish the prevalence and epidemiological characterization of cervical cancer patients registered in Nyeri County and Referral Hospital, Kenya.
Methods
This was a retrospective observational design that involved the systematic collection and analysis of data from 2328 patient records. Relevant variables, including demographic characteristics, clinical features, treatment modalities and survival outcomes, were extracted and analyzed. Descriptive statistics were used to determine the prevalence of cervical cancer, while Chi-square test was performed to assess the association between various factors and survival outcomes. Multivariate analysis was conducted to control for confounding variables and determine the independent effects of predictors. Ethical clearance was obtained and ethical principles maintained.
Results
Records of 2328 cancer patients were analyzed, out of which 120 were cervical cancer. Majority of cervical cancer patients were aged 50-59 years with majority residing in Nyeri County. The prevalence of cervical cancer was 5.16%. The overall survival rate for cervical cancer patients was 58.33%. Advanced age and late-stage diagnosis were factors associated with lower survival rates.
Conclusions
The study revealed a prevalence of 5.16% of cervical cancer among patients attending Nyeri County and Referral Hospital in Kenya from the year 2017 to 2022 with an overall survival rate of 58.33%. Age and late-stage diagnosis were found to be influential factors in survival outcomes. Therefore, improving early detection and initiation of early treatment for all cervical cancer patients is required in order to improve survival status.
Thriving and Striving: The Paradox of Leading and Following for Women Mid-level Administrators in the Community College
Authors: Beckley Jodie
Published: August 2023

In this qualitative study, I explored the meaning that ten mid-level women administrators ascribe to the experience of being both a leader and a follower within the community college sector. Previous research indicates that mid-level women administrators are under-valued as leaders and followers despite their capacity and influential connectivity up, down, and across the organizational chart. Participants discussed their experiences through in-depth, semi-structured interviews and described the perceived effects of those experiences on their leadership and followership practices. Three overarching themes emerged from the transcript analysis of the narratives: leading with purpose; complications of following; and navigating an adverse work environment. Implications from the findings suggest that community college leaders at all levels will benefit from shared leadership professional development, interrogation of implicit gender bias embedded with the institution, and the reduction and removal of race-based microaggressions among faculty, staff, and administrators. By understanding the leading and following experiences of women in mid-level administrative positions in the community college, this study contributes to a broader inclusion of leadership beyond the privileging of senior-level positions.
Mediação, conciliação e transação na cobrança do crédito tributário como instrumentos de proteção dos direitos da personalidade de contribuintes vulneráveis
Authors: Freschi Rorato Izabella , Negri Soares Marcelo
Published: August 2023

O presente artigo busca investigar o cenário crítico em que se encontram os processos de cobrança do crédito tributário em trâmite atualmente no Poder Judiciário, por meio das execuções fiscais, e nas esferas administrativas, com a cobrança da dívida ativa, bem como verificar a possibilidade e a legitimidade da adoção de instrumentos consensuais como a mediação, a conciliação e a transação na solução de conflitos em matéria tributária. Para tanto, investiga-se a natureza do crédito tributário ante a indisponibilidade do interesse público. Entende-se que a mediação, a conciliação e a transação são meios alternativos idôneos para a cobrança do crédito tributário, desde que respeitada a legalidade estrita, uma vez que este crédito é patrimônio do fisco, que dele poderá dispor. Fundamenta-se a possibilidade de inclusão desses instrumentos antes da judicialização da dívida ativa e durante o procedimento da execução fiscal, diante dos seus reflexos na proteção e garantia de direitos da personalidade, como a privacidade e a honra, de contribuintes que se encontram em posição de vulnerabilidade. Por meio da pesquisa bibliográfica e do método hipotético-dedutivo, avalia-se os impactos da participação da vontade das partes na lide tributária, bem como busca-se analisar como a mediação, a conciliação e a transação podem contribuir para dirimir as desigualdades constantes na relação jurídico-tributária e, ao mesmo tempo, favorecer a efetividade da atuação do Estado.
Representações sociais e Conversações Internas: sobre as estratégias de ressignificação da imagem empreendidas por advogados criminalistas da cidade de Maceió/AL
Authors: Lages Anabelle Santos , Acioli Diogo José Palmeira
Published: August 2023

A Constituição Federal exalta a figura do advogado como profissional essencial à Justiça, no entanto as representações sociais sobre advogados criminalistas destoam dessa imagem, equiparando-os aos clientes que defendem. O objetivo do presente artigo é propor uma tipologia de advogados criminalistas de Maceió, levando em consideração a forma como esses profissionais constroem os seus ofícios. Para tanto, valemo-nos da perspectiva de Archer e de seu conceito de self. Foram realizadas entrevistas semiestruturadas com 17 advogados criminalistas da cidade. A pesquisa apontou para a existência de, pelo menos, 3 tipos de self, os quais denominamos de técnico-espiritualizado, higienista e humanista.
A proteção de dados pessoais com o advento da lei geral de proteção de dados (LGPD): Boas práticas no tratamento e na proteção de dados pessoais em empresas nacionais
Authors: Machado Ronny Max , Gonçalves  Barreto Osmar Fernando , Da Costa Karem Luiza
Published: August 2023

O presente trabalho tem como objetivo geral apresentar os principais princípios e temas relacionados à privacidade, abarcando os aspectos fundamentais da lei de proteção de dados, passando pela corrupção e responsabilidade dos administradores, apresentando alguns exemplos a respeito de vazamento de dados. O objetivo específico consiste em analisar a aplicabilidade do Programa de Compliance que as empresas devem seguir para atendimento dos requisitos impostos na Lei Geral de Proteção de Dados, Lei 13.709/2018 (“LGPD”). A metodologia utilizada foi a pesquisa bibliográfica sobre o tema, por meio de artigos científicos, doutrinas, revistas jurídicas, manuais e periódicos, além de legislação específica e jurisprudências.