bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating Complexity: A Resource-Adaptive Framework for Cross-Lingual Sentiment Analysis in Resource-Scarce Languages
Authors: Neyigapula Bheema Shanker 
Published: August 2023

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract

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

Abstract
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

Abstract
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.