bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Personalized Model Integrating Personality for Joint Dialogue Emotion Classification and Act Recognition
Authors: Ma Zhiqiang , Zhou Yutong , Xu Biqi , Lv Kai , Liu Jia 
Published: January 2024

Abstract
The joint dialogue emotion classification and act recognition tasks essentially involves the simultaneous classification of emotional and act labels for each utterance in a dialogue. Existing dual-tasks models can recognize emotion and act based on utterance context but overlook the interaction between discourse under the influence of personality and the correlation between dual-tasks. Utter- ances within the same personality and across different personalities exhibit explicit temporal dependencies in the past and future. However, existing models fail to explicitly address the temporal relationships in the interaction between personality and dual-tasks, resulting in a reasoning gap in the temporal corre- lation of interactions under long-term personality. In this paper, A Personalized Model Integrating Personality for Joint Dialogue Emotion Classification and Act RecognitionPEDR-GATis proposed to solve these problems.Firstly, we uti- lize personality information and label distributions to provide initial estimates in semantics, strengthening the association between local semantics guided by personality and task labels. Secondly, the model employs graph attention mech- anisms to extract global semantic temporal information and causal temporal relationships between the two tasks. Finally, PEDR-GAT, by acquiring initial local label information guided by personality and integrating personality-guided global semantic label information, introduces a common attention mechanism to maintain long-term dependencies and supplement short-term information.The experiments were conducted on three benchmark datasets: Mastodon social network (Mastodon), A Manually Labelled Multi-turn Dialogue Dataset (Dai- lyDialog), and A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI (CPED). Compared to the baseline models, there were improvements in F1 scores for emotion classification and act recognition by 1.9% and 0.7% (Mastodon),3.3% and 1.3% (DailyDialog), and 5.3% and 2.3%(CPED), respectively. The results indicate that personality-guided semantic label acquisition enhances the association between semantics and labels, and the graph attention mechanism with personality fusion reasoning can stimulate the cognitive system’s understanding of potential causal information in abstraction.
Comparing the quality of chest compressions and providers' experiences between audio-visual and team-leader feedback: a randomised crossover study
Authors: Azhar Muhaimin Noor , Bustam Aida , Poh Khadijah , Kamarudin Anhar , Azman Asraff , Chew Keng Sheng , Zambri Aliyah 
Published: January 2024

Abstract

Background
High cardiopulmonary resuscitation (CPR) quality is associated with better patient survival from cardiac arrest. However, CPR providers may not have an accurate perception of the depth and rate of their chest compressions (CC). Realtime feedback during resuscitation improves CPR quality compared to no feedback. Evidence comparing audio-visual feedback device (AVF) and team leader’s feedback (TLF) in improving CPR performance is limited and conflicting.
Methodology:
We performed a randomized crossover study to evaluate CC performance with AVF and TLF. Seventy participants performed CC for 1 minute on a CPR manikin connected to ZOLL R series defibrillator with CPR-sensing capability in a randomised crossover sequence. We interviewed participants to explore their perception and preference with both feedback methods.
Results
Mean CC rate was higher with AVF than with TLF (121.8 min− 1 ± 17.7 vs. 117.4 min− 1 ± 13.5, p = 0.005). There was no significant difference in proportions of participants performing CC within the recommended rate of 100–120 beats per minute between AVF and TLF (48.6% and 51.4%, p = 0.824). Overall, CC depth was below the recommended target regardless of feedback method with mean CC depth of 4.4 cm ± 0.8 in AVF and 4.3 cm ± 0.9 in TLF respectively (p = 0.479). Most participants felt that TLF was easier to follow, more motivating and preferable compared to AVF. Those who preferred TLF performed CC at rates above the recommended range with AVF compared to TLF (124.1 min− 1 ± 19.4 versus 118.2 min− 1 ± 14.9, p = 0.004).
Conclusion
A well-trained team leader is as effective as an AVF device in leading high-quality CC. CPR providers’ performance may be influenced by their preferred feedback method.
Protective effect of luteolin against cadmium-induced hepatotoxicity by inhibiting oxidative stress, inflammation, and apoptosis in mice
Authors: Han Ning-xin , Wei Yu-feng , Wang Jing-han , Han Wei , Sun Qiaochu , Zhang Yixin , Luo Tianning , Zhang Wen 
Published: January 2024

Abstract
This study aimed to investigate the hepatoprotective effect of Luteolin (Lut) on Cadmium (Cd)-induced liver injury in mice. A total of 60 4-week-old male Kunming mice were randomly assigned into six groups. The mice in four groups were orally gavaged with CdCl2 (5 mg/kg b.w.) and Lut (25, 50, or 100 mg/kg) for 14 days. The results showed that Lut treatment restored body weight, liver index, liver structure and serum hepatotoxicity markers in mice compared with the Cd group. It also alleviated Cd-induced oxidative stress by restoring relevant antioxidant indices and up-regulating the expression of Nrf2 pathway-related proteins. Furthermore, Lut suppressed the mRNA expression of some inflammatory factors and the expression of NLRP3 inflammasome-associated proteins. In addition, Lut alleviated Cd-induced apoptosis by reducing hepatic apoptotic cells and reversing the expression of mitochondrial apoptotic pathway-related proteins. These results suggest that Lut treatment attenuates Cd-induced liver injury by stimulating the Nrf2 pathway and inhibiting NLRP3 inflammasome and apoptosis.
Network Slicing in Software DefinedNetworking for 5G
Authors: Odida Maurice 
Published: January 2024

Abstract
Network slicing stands out as a crucial feature of software-defined networks (SDN), playing a pivotal role in the deployment of 5G networks amid the current era of technological advancement. This capability empowers operators to manage multiple virtual networks atop a shared physical infrastructure. Service providers can thereby segment their network resources into distinct logical networks, each tailored to meet the specific requirements of diverse users or services. As 5G deployment progresses, network function virtualization (NFV) and software-defined networking (SDN) are poised to steer the implementation of network slicing. In this review, I provide an overview of SDN in the context of 5G, exploring the role, motivation, and recent advancements in network slicing. The review further delves into the application scenarios of SDN within network slicing for 5G. The proposed architecture for network slicing in software-defined networking (SDN) for 5G networks encompasses three key usage scenarios: enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). Conclusively, this report outlines challenges and suggests future research directions focused on network slicing in the context of 5G.
CD38 as a therapeutic target in pediatric Burkitt’s Lymphoma: insights from a comparative approach (Running title: Targeting CD38 in pediatric Burkitt's Lymphoma)
Authors: Kläsener Kathrin , Herrmann Nadja , Håversen Liliana , Sundell Timothy , Sundqvist Martina , Lundqvist Christina , Manna Paul T. , Jonsson Charlotte A. , Visentini Marcella , Sass Diana Ljung , McGrath Sarah , Grimstad Kristoffer , Aranburu Alaitz , Mellgren Karin , Fogelstrand Linda , Forsman Huamei , Ekwall Olov , Borén Jan , Gjertsson Inger , Reth Michael , Mårtensson Inga-Lill , Camponeschi Alessandro 
Published: January 2024

Abstract
Background
Pediatric Burkitt's lymphoma (pBL) is the most common childhood non-Hodgkin's B-cell lymphoma. Despite the encouraging survival rates for most children, treating cases with relapse and resistance to current therapies remains challenging. CD38, a transmembrane protein highly expressed in pBL, is a promising therapeutic target. This study investigates the effectiveness of CD38-targeting monoclonal antibodies (mAbs), daratumumab (DARA) and isatuximab (ISA), in impairing crucial cellular processes and survival pathways in pBL malignant cells.
Methods
In silico analyses of pBL cell line and patient sample datasets, combined with in vitro experiments using the Ramos cell line model, were conducted to assess the impact of DARA and ISA on cellular proliferation, apoptosis, and the phosphoinositide 3-kinase (PI3K) pathway. Comparative approaches were utilized to evaluate the therapeutic potential of these mAbs, focusing on B-cell receptor signaling, calcium flux, metabolic shifts, and interaction of key proteins on the cell surface.
Results
ISA was found to be more effective than DARA in disrupting B-cell receptor signaling, reducing cellular proliferation, and inducing apoptosis. Additionally, ISA caused a significant impairment of the PI3K pathway and induced metabolic shifts in pBL cells, indicating its role in metabolic reprogramming. The study also revealed a correlation between CD38 and MYC expression levels in pBL patient samples, suggesting CD38's involvement in key oncogenic processes.
Conclusions
The study emphasizes the therapeutic potential of CD38-targeting mAbs, particularly ISA, in pBL. These findings suggest that targeting CD38 with mAbs may offer a novel approach for treating pBL, particularly in cases where patients show resistance or relapse after conventional therapies.
Targeting CaMKII-δ/DHCR24 axis is a novel strategy against acute myeloid leukemia
Authors: Wu Zhaoxing , Gong Qinyuan , Li Mengyuan , Zheng Shuwen , Zhang Xuzhao , Wang Ping , Liang Yun , Xu Rongzhen 
Published: January 2024

Abstract
Relapse is one of the biggest challenges in treating acute myeloid leukemia (AML) due to leukemia stem/progenitor cells resisting chemotherapy, providing a cellular reservoir to form the basis for relapse. Here, we identify CaMKII-δ/DHCR24 axis as a novel therapeutic target of AML. CaMKII-δ is aberrantly activated in leukemia stem/progenitor cells of AML patients but not in normal hematopoietic stem/progenitor cells, and associated with high tumor burden and poor outcome. Blocking CaMKII-δ activity results in rapid apoptosis of AML stem/progenitor and bulk leukemia cells by inhibiting STAT3, CDK6 and BCL-2 that regulate viability, cell cycle and apoptosis of AML cells. Moreover, CaMKII-δ is a key regulator of DHCR24 associated with cholesterol metabolic pathway of AML. Inhibition of DHCR24 selectively suppressed the growth of leukemia stem/progenitor cells. Importantly, we demonstrated that pharmacological inhibition of CaMKII-δ/DHCR24 axis by small molecule hesperadin potently regressed AML in mouse model. These findings reveal that CaMKII-δ3/DHCR24 axis is a critical regulator that differentially regulates the survival and apoptosis of AML cells and normal HSCs. CaMKII-δ/DHCR24 axis might be a potential therapeutic target for treating AML.
Vertical differentiation and internationalization strategy
Authors: Melki Oumayma 
Published: January 2024

Abstract
This article deals with the choice of internationalization strategy within the framework of a vertical differentiation model. We considered two identical countries, where there are two firms producing different qualities. Each of the firms has the possibility of entering the foreign market either by foreign direct investment or by export. The choice of an internationalization strategy for each firm depends on the cost of the internationalization operation. In this work, we have shown that the firm that produces the best quality has easier access to the foreign market and that the firm that produces the poorest quality can only access the foreign market if the firm that produces the best quality has already internationalized its product.
VSV-CHIKV activates antitumor immunity by inducing pyroptosis in a melanoma model
Authors: Wu Fan , Zhan Ying , Wang Siyu , Wang Xiaoke , Hui Min , Zhang Jian , Zhang Jing , Lei Yingfeng , Yu Shibin 
Published: January 2024

Abstract

Melanoma is the most dangerous skin cancer due to its difficulty in treatment, high recurrence rate and metastatic ability. As a vector for oncolytic viruses (OVs), vesicular stomatitis virus (VSV) has been shown to be effective against malignant melanoma. However, the glycoprotein G protein of VSV has potential neurotoxicity. It has been shown that replacing glycoprotein G with E3-E2-6K-E1 of chikungunya virus (CHIKV) reduces its neurotoxicity and targets gliomas. Therefore, the aim of this study was to investigate the oncolytic effect of recombinant VSV-CHIKV on melanoma and the underlying mechanism. In this study, we found that recombinant VSV-CHIKV triggered GSDMD-mediated melanoma cell pyroptosis. Importantly, the NLRP3/Caspase-1/GSDMD axis was activated after VSV-CHIKV infection in melanoma cell lines and in a xenograft mouse model. Inhibition of GSDMD blocked cell pyroptosis, antitumor immunity and the tumor response in response to VSV-CHIKV treatment, suggesting that VSV-CHIKV act through the GSDMD pathway. VSV-CHIKV-triggered GSDMD-mediated tumor pyroptosis recruits cytotoxic T lymphocytes (CTLs) into the tumor microenvironment, which was accompanied by the release of inflammatory mediators. This remodeled the tumor microenvironment and turned immunologically “cold” tumors into “hot” tumors, thereby sensitized these tumors to checkpoint blockade. Finally, we treated cancer using a combination therapy of VSV-CHIKV and an immune checkpoint inhibitor (anti-PD-1) and found that it prolonged the survival of mice. In conclusion, this paper reveals that the VSV-CHIKV strategy is an attractive biologic therapy against melanoma.
Viral shedding pattern of severe fever with thrombocytopenia syndrome virus in severely ill patients:A Prospective, Multicenter Study
Authors: Hu Li-Fen , Bian Ting-Ting , Chen Qiang , Liu Meng-Yu , Li Jia-Jia , Kong Qin-Xiang , Zhang Jian-Kang , Wu Jin , Cheng Jun , Yu Rui , Qiu Yan-Qin , Gao Yu-Feng , Chen Guo-Sheng , Ye Ying , Wu Ting , Liu Wei , Li Jia-Bin 
Published: January 2024

Abstract
Background.
Severe fever with thrombocytopenia syndrome (SFTS) is spreading rapidly in Asia. The pathway of SFTS virus shedding from patient and specific use of personal protective equipments (PPEs) against viral transmission have rarely been reported.
Methods.
A multicenter cohort study was performed to determine SFTS virus (SFTSV) level from blood, throat swabs, fecal/ anal swabs, urine and bedside environment swabs of SFTS patients by qRT-PCR. PPEs were applied in healthcare workers based on the pathway of SFTSV shedding and occurrence of hemorrhagic signs in patients.
Results.
A total of 189 SFTSV-confirmed patients were included in the study, 54 patients died (case fatality rate, 28.57%). Positive SFTSV in throat swabs (T-SFTSV), fecal /anal swabs (F-SFTSV) and urine (U-SFTSV) were detected in 121 (64.02%), 91 (48.15%) and 65 (34.4%) severely ill patients, respectively. The levels of T-SFTSV, F-SFTSV and U-SFTSV were positively correlated with the load of SFTSV in blood. We firstly revealed that SFTSV positive rate of throat swabs were correlated with occurrence of pneumonia and case fatality rate of patients (P < 0.0001). Specific precaution measures were applied by healthcare workers in participating cardiopulmonary resuscitation and orotracheal intubation for severely ill patients with positive T-SFTSV, no event of SFTSV human-to-human transmission occurred after application of effective PPEs.
Conclusions.
Our research demonstrated SFTSV could shed out from blood, oropharynx, feces and urine in severely ill patients. The excretion of SFTSV from these parts was positively correlated with viral load in the blood. Effective prevention measures against SFTSV human-to-human transmission are needed.
Single-cell RNA sequencing reveals cellular senescence functions as a prognostic and therapeutic indicator in meningiomas
Authors: Guo Rongzeng , Yan Changxiang , Fu Xiaojun 
Published: January 2024

Abstract
Meningiomas rank among the most prevalent solid tumors in the human central nervous system, exhibiting a wide spectrum of prognoses, with particularly challenging outcomes in cases of malignant meningiomas. Cellular senescence (CS) is recognized as a significant prognostic and therapeutic indicator in numerous types of tumors. However, the characterization of CS in meningiomas has remained largely unexplored. This study delves into cellular senescence (CS) as a prognostic and therapeutic factor in meningiomas, a relatively unexplored area. Using CellAge database genes, we established a CS score index. Survival analysis, employing R packages like "survival" and "survminer," identified genes with significant Recurrence-Free Survival (RFS) differences. Weighted Gene Co-expression Network Analysis (WGCNA) and Multi-scale Embedded Gene Co-expression Network Analysis (MEGENA) revealed hub genes. The Tumor Immune Dysfunction and Exclusion (TIDE) score assessed immunotherapy potential, while the RNAactDrug database predicted drug sensitivity. Our analysis unveiled a strong link between CS score, meningioma recurrence, and grade. Notably, we observed differential senescence-associated secretory phenotype (SASP) expression in recurrent versus non-recurrent meningiomas. Single cell sequencing exposed distinct senescence subgroups and heterogeneity within meningioma. We also elucidated mechanisms through which CS negatively affects prognosis. TBL3, an identified hub gene, emerged as a promising prognostic factor and therapeutic target. Our study pinpointed Panobinostat and Palbociclib as potential TBL3 and CS inhibitors, potentially broadening therapeutic options, especially for malignant meningiomas. In summary, this research underscores the potential of CS as both a prognostic indicator and a target for therapeutic interventions in the context of meningiomas.
Morphology of cuticular structures in the ant genus Strumigenys (Insecta: Hymenoptera: Formicidae)
Authors: Nelson Landin , Doucet Daniel S. , Cook Jerry 
Published: January 2024

Abstract
Ants in the genus Strumigenys have an assortment of structures that appear to hold environmental debris that acts as camouflage to facilitate their ability to feed on collembolans. Species use a species-specific assortment of structures with a general hair- or scale-like form. These structures can be categorized as brush hairs, which expand apically and often have peg-like extensions for greater surface area and holding ability; holding hairs, narrow cuticular structures that often have ridges and pointed extensions of the cuticle; or guard hairs, whose function may not be to hold debris but at times become covered with this material. Additionally, the sculpturing of the head often holds a coating of environmental debris. Each of the six species used in this study had a distinct pattern of these cuticular structures that are different from that of other species and can be considered to have a species-specific character. Six species of Strumigenys are studied using a scanning electron microscope.
Cancer-associated fibroblasts induced by colorectal cancer cells inhibit γδT cells killing function through the ERK/COX-2/PGE2 pathways
Authors: Xi Xueyan , Chen Ying , Deng Ting , Zhu Jinyi , Zhao Yan , Liu Shuaitong , Qiu Ke , Ke Yilei , Li Gang , Zhu Yunhe , Li Fangzhou , Yu Qingqing , Du Boyu 
Published: January 2024

Abstract
The tumor microenvironment (TME) is a highly ordered ecosystem in which several non-malignant cell types, including immune cells, cancer-associated fibroblasts (CAFs), and other cell types, are encircled by cancer cells. Colorectal cancer (CRC) is determined by the reciprocal contact between cancer cells and host cells. γδT cells represent a significant subset of the natural immune system and are vital in the battle against CRC. Yet, the ability of γδT cells to kill is limited in the CRC microenvironment. The purpose of this work is to investigate how CRC cells-induced CAFs affect γδT cells, which offers fresh perspectives on how to broaden CRC treatment approaches. The findings demonstrated that fibroblast activation, proliferation, and clone formation were induced by CRC cell culture supernatants via the ERK signaling pathway. On the basis of analyzing the correlation between γδT cells and CAFs, we further demonstrated that the generated CAFs can inhibit the killing function of γδT cells to CRC cells. In CAFs co-cultured with γδT cells, ERK inhibitors can decrease the expression levels of COX-2 and PGE2, and partially reverse the inhibition of CAFs on γδT cell killing function. According to our research, CAFs generated by CRC cells in the TME may decrease the ability of γδT cells to destroy themselves and facilitate the development of an immunosuppressive microenvironment by activating the ERK/COX-2/PGE2 pathway. They establish the groundwork for assessing how ERK inhibitors alleviate γδT cell immune suppression in the CRC microenvironment, investigating novel targets for CRC therapy, and formulating clinical CRC treatment plans.
Chemical applicability and curvilinear regression models of vertex-degree-based topological index: Elliptic Sombor index
Authors: Shanmukha M.C. , Usha A. , Kulli V.R. , Shilpa K.C. 
Published: January 2024

Abstract

Chemical graph theory facilitates different tools that have significant applications in drug design and development. Recently Gutman et al., introduced a novel vertex-degree-based topological index called Elliptic Sombor index and its application through geometric approach. This article focusses on chemical applicability of Elliptic Sombor index through regression models using 22 benzenoid hydrocarbons. In this process, the chemical applicability of Elliptic Sombor index with various physicochemical properties of benzenoid hydrocarbons through curvilinear regression models is carried out. The data of the statistical analysis shows that Elliptic Sombor index is potential predictive index for the property Polarizability.
A Contribution to Mega-Disaster Economics
Authors: Dulac Guillaume 
Published: January 2024

Abstract
Standard economic analysis stumbles on mega-disasters’ specific features. We impute these shortcomings to an invariable recourse to the expected value metric and its decoupling from discounting. We develop a two-pronged quantitative approach to address this issue: first we introduce a family of discount models (Lomax based) bridging the gap between the exponential and the hyperbolic discount models. We then define a functional, the Δ-transform, that bonds the discount model with the disaster impact underlying random variable. Key properties of the Δ-transform are displayed along with closed formula of special functions in the case of typical power law distributions suitable for modelling disasters and mega-disasters. Practical implementation challenges related to uncertainty management are discussed, along with the extent to which our approach challenges conventional wisdom on mainstream disaster economics and other situations featuring long-term horizons and high uncertainty.
Classification code ( JEL): C20, C65, D61, H43 Q54