bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blockchain-based Business Model: Open Innovation Strategy for Smart Edge Data Flow
Authors: Liu Chunyan , Feng Tao 
Published: November 2023

Abstract
Open business model in MEC is conductive to resources sharing of consumer electronic products. However, there are risks in the process of business mode opening , such as, the protection and smart management of data and knowledge flow. Based on the blockchain, smart contract and DAC (Distributed Autonomous Corporation) technologies, we propose the Blockchain-based business model (called BM-ICB) of open innovation strategy for smart edge data flow. Based on the DPoS consensus mechanism of blockchain technology, we research the smart and dynamic management mechanism to realize the detection, monitoring and classification of enterprise behaviors of consumer electronic products, besides, the interaction process between the users and Consortium chain is improved through the DAC technology. The theoretical analysis estimates strong security and high performance of the BM-ICB model, and the experimental evaluation testifies the high performance.
Peg-IFNα combined with hepatitis B vaccination contributes to HBsAg seroconversion and improved immune function
Authors: Liu Yisi , Ren Shan , Ma Lima , Lin Xiao , Lu Junfeng , Cao Zhenhuan , Zheng Sujun , Hu Zhongjie , Xu Xiaoxue , Chen Xinyue 
Published: November 2023

Abstract
Purpose
Anti-HBs seroconversion and high levels of antibody are closely associated with lower HBsAg recurrence rates. Some studies have shown that the relapse rate can be reduced by increasing anti-HBs levels by injecting hepatitis B vaccine, but the changes in immune function after vaccination are unclear.
Methods
Twenty-eight people who obtained HBsAg seroclearance based on Peg-IFNα treatment were enrolled and divided into two groups according to whether hepatitis B vaccine was used during consolidation treatment. The proportion of lymphocyte subpopulations, cytokines and immunoglobulin levels at different time points were detected.
Results
The proportions of total B cells, plasma cells and Tfh cells in the Vaccine group were significantly increased compared with baseline (p < 0.05). And CD80 + B cells and ICOS + Tfh cells were significantly higher than the baseline (p < 0.05). In the Vaccine group, both types of Breg cells decreased significantly (p < 0.05). None of the above changes in the Non-vaccine group reached statistical significance (p > 0.05). Total IgG increased significantly in the Vaccine group, and among cytokines, IL-2, IL-5, and IL-6 concentrations increased significantly at week 24 (p < 0.05). The changes in various types of cytokines and immunoglobulins in the plasma of the Non-vaccine group were not significant (p > 0.05). In addition, anti-HBs titers were positively correlated with Th1/Th2 cells at 24 weeks (r were 0.448 and 0.458, respectively, p values were 0.022 and 0.019, respectively), and were correlated with CD24 + CD38highBreg cells showed a negative correlation (r = -0.402, p = 0.042).
Conclusions
Our study suggests that hepatitis B vaccination in individuals with HBsAg seroclearance significantly enhances anti-HBs seroconversion rate and increases antibody levels. Peg-IFNα combined with hepatitis B vaccination contributes to HBsAg seroconversion and improved immune function Therefore, we believe that concomitant hepatitis B vaccination to increase anti-HBs levels in the late stage of Peg-IFNα treatment may be an effective measure for preventing recurrence.
Intron–hairpin RNA Derived from Helper Component proteinase (HC-Pro) Gene Confers Immunity to Papaya Ringspot Virus Infection in Transgenic Tobacco Plants
Authors: Tak Kheta Ram , Peter Anitha , Vidyashankar Deepika 
Published: November 2023

Abstract
Papaya ringspot virus (PRSV) is the most destructive disease of papaya which limits its production and cultivation worldwide. Pathogen-derived resistance (PDR) approach as a popular strategy has been utilized previously to develop resistant cultivars in papaya. However, the pathogen has already overcome the resistance which necessitates an alternative strategy for PRSV disease management. RNAi is an effective method of obtaining resistant transgenic plants against viruses by inducing RNA silencing via expressing virus-derived double-stranded RNA in plants. The current study deals with the isolation and characterization of the HC-Pro gene from PRSV, the development of intron hairpin RNA construct followed by transformation and confirmation in the T1 generation of Nicotiana benthamiana. The partial coding region of the helper component (HC-Pro) gene of PRSV was used to design hairpin RNA which includes a spliceosomal intron inserted between the hairpin RNA arms (HC-Pro ihpRNA). Designed HC-Pro ihpRNA was introduced into the plant expression vector (pBI121) and the recombinant plasmids were transformed into Agrobacterium tumefaciens (LBA4404) followed by transformation into Nicotiana bennthamiana as a model plant. Gene expression analysis of transgenic T1 plants infected with PRSV showed reduced NbPOD, NbAPX and NbCAT compared to inoculated control plants. Results revealed that the suppression of the HC-Pro gene has an effect similar to that of non-infected control plants and hence confers resistance to PRSV infection. We have demonstrated that transgenic tobacco plants expressing partial PRSV HC-pro gene in the form of an intermolecular intron-hairpin RNA exhibited complete resistance to PRSV infection.
Trends in the Incidence and Survival of Women with Hormone Receptor-Positive Breast Cancer from 1990–2019: A Large Population-Based Analysis
Authors: Huang Hong bo , Wei Tingting , Zhang Aijie , Zhang Heng , Kong Lingquan , Li Yunhai , Li Fan 
Published: November 2023

Abstract

Hormone receptor-positive breast cancer (BC) is the most prevalent subtype of BC and is generally correlated with a favorable prognosis. This study aimed to determine the incidence and survival trends among women diagnosed with hormone receptor-positive BC between 1990 and 2019. Female patients with hormone receptor-positive BC for calendar years 1990–2019 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database and categorized into six diagnostic groups according to the year of diagnosis. Age-adjusted incidence rates (IRs) were calculated using joinpoint regression. We used the Kaplan–Meier method and multivariate Cox regression analyses to determine the association between diagnostic groups, and overall survival (OS) and BC-specific survival (BCSS). The final analysis included 370729 women, among whom 37943 (10.2%), 49266 (13.3%), 55652 (15.0%), 64451 (17.4%), 77127 (20.8%), and 86290 (23.3%) were diagnosed between 1990–1994, 1995–1999, 2000–2004, 2005–2009, 2010–2014, and 2015–2019, respectively. Within the overall cohort, IRs gradually increased from 70 per 100,000 in 1990 to 113 per 100,000 in 2019 (average annual percent change, 1.59%; 95% CI, 1.18-1.99). Multivariate Cox regression analysis revealed that the survival outcomes gradually improved over nearly three decades among hormone receptor-positive BC patients, with a 0.8% and 1.3% decrease in risk for all-cause and BC-specific mortality each year, respectively. Compared to 1990–1994, hormone receptor-positive BC patients diagnosed in 2015–2019 had a 22% lower risk of all-cause death (hazard ratio [HR], 0.78; 95% CI, 0.76–0.81) and a 27% lower risk of BC-specific death (HR, 0.73; 95% CI, 0.70–0.76). The development of treatment strategies within the past three decades, especially endocrine therapy, may contribute to the continuous improvement of clinical outcomes in patients with hormone receptor-positive BC.
In silico approach towards the Anti-Obesity effects of Flaxseed Components Alpha Linolenic Acid and Secoisolariciresinol Diglucoside by the inhibition of SOCS3 – The inhibitor of Leptin Signalling Pathway
Authors: Akila Manickam , Sasikumar Saran , Malgija Beutline , Rachael Mohanmaran Soumya , Freddy Allen J 
Published: November 2023

Abstract
Objective
- Medications used as adjuncts to assist obese and overweight individuals in losing weight often come with numerous adverse effects and primarily target absorption and hormone levels, without addressing the underlying signalling issue. The aim of this paper is to focus on studying the potential role of flaxseed compounds, particularly Secoisolariciresinol diglucoside and α-Linolenic acid in obesity prevention and management.
Methods
- Molecular docking studies using Glide were performed to assess the interactions of with the target protein SOCS3. The stability of the binding was evaluated through Molecular Dynamics Simulation studies using Desmond.
Results
- The study revealed that the compounds Secoisolariciresinol diglucoside (SDG) and α-Linolenic acid shows high binding affinity with the target with a lest docking score of -9.00 and − 8.32 Kcal/mol respectively when compared with the control ligand Zoledronic acid which has a binding energy of -6.03 Kcal/mol.. The SOCS3-SDG complex exhibited a higher number of hydrogen bonds compared to the control complex, SOC3-Zoledronic acid complex, indicating greater stability of the complex.
Conclusion
- In- silico studies conducted demonstrate that both SDG and ALA exhibited favourable and stable interactions with the target protein SOCS3. This suggests that these compounds may impede the binding of leptin to SOCS3 by binding to the SH2 domain of the protein, hence exhibiting promising potential as nutraceuticals for obesity prevention
Fracture injuries in elite Korean taekwondo sparring athletes
Authors: Yoo Sangcheol , Song Munku 
Published: November 2023

Abstract
The aim of the study was to analyze fracture injuries and post-fracture management in elite taekwondo sparring athletes, with a specific focus on weight classes. Data were collected through a survey of 182 Korean taekwondo athletes using convenience sampling and self-administration methods. Approximately 58% of participants experienced taekwondo-related fractures, with heavyweight players having a significantly higher rate than lightweight players (χ²=3.87, p = .049). Overall, taekwondo-related fractures were most common in the hand region, during defensive maneuvers and caused by a player contact mechanism. Heavyweight players were more likely to sustain fractures during competition, while lightweight players were more likely to sustain fractures during training (χ²=6.39, p = .011). Heavyweight players were more likely to have surgery after fractures, whereas lightweights were more likely to have conservative treatment (χ²=4.270, p = .039). About half of the players (51.4%) returned to play without a diagnosis of bone union after their fractures, and the greatest psychological distress for players after fractures was concern about re-injury (57.2%). The current findings suggest that the fracture injury characteristics of elite taekwondo sparring athletes differ by weight class, highlighting the importance of a weight class-specific injury prevention and management program.
Which Words Predict a Recommendation: Using Ml &amp; Nlp to Find Out
Authors: Thatte Toshi 
Published: November 2023

Abstract
According to a 2021 study by Juniper Research, 96% of surveyed retail Executives plan to invest in AI soon. In 2018, Reuters reported that the Spanish apparel retailer Zara was incorporating artificial Intelligence (AI) into its business strategy and supply chain to keep up and beat its competitors.
Seeing these statistics, many retailers may now feel compelled to find out how they can implement Artificial Intelligence and Data Science to their business operations – and with good reason. From Inventory Optimization to Trend Forecasting, the practical cases of Machine Learning in the fields of Fashion are varied and ubiquitous.
Mapping the differential impact of spontaneous and conversational laughter on brain and mind: A fMRI study in autism
Authors: Cai Ceci Qing , Lavan Nadine , Chen Sinead H.Y. , Wang Claire Z.X. , Ozturk Ozan Cem , Gilbert Sam J. , White Sarah J. , Scott Sophie K. 
Published: November 2023

Abstract

Background While most research on the non-verbal communication challenges encountered by autistic people centres on visual stimuli, non-verbal vocalizations remains overlooked. Laughter serves as a socio-emotional signal for affiliative bonding in interactions. Autistic people seem to experience and produce laughter differently to non-autistic people and are known to have mentalizing difficulties. Neuroimaging evidence suggests that non-autistic people engage in mentalizing to understand the meaning behind conversational laughter. Here, we propose that autistic people’s difficulties lie not in processing all types of laughter, but only in processing conversational laughter.
Methods We used fMRI to explore the neural mechanisms underlying implicit processing of different types of laughter in autistic and non-autistic adults. 23 autistic and 23 non-autistic adults matched for age, gender, and IQ were scanned whilst passively listening to funny words followed by spontaneous laughter, conversational laughter, or noise-vocoded vocalizations. Post-scan, they listened to the word plus laughter pairs again and rated the funniness of each word.
Results Behaviourally, words plus spontaneous laughter were rated as funnier than words plus conversational laughter, and the groups did not differ. However, neuroimaging results showed increased activation in the medial prefrontal cortex only for non-autistic adults during implicit processing of words plus conversational laughter. Additionally, autistic adults showed greater activation in the supplementary motor area, a part of the sensorimotor network, when listening to words plus either type of laughter.
Limitations Our current design does not disentangle the processing of humour and laughter, with insufficient temporal resolution for their neural distinction, suggesting a need for future research with more temporally-precise techniques.
Conclusions While both non-autistic and autistic adults find laughter makes funny words funnier, there are differences in autism in the neural mechanisms that support mentalizing and contagion during implicit laughter processing. This study reinforces the idea that the essence of laughter serves both as an emotional expression and a sophisticated social signal during communication. It also highlights the challenges that autistic people face in understanding the meaning behind the conversational laughter we consistently encounter in everyday life, which may lead them to social vulnerability. Altogether, we advocate for clearer communication with autistic people.
Cultivating Compassion in Medicine: A Toolkit for Medical Students to Improve Self-Kindness and Enhance Clinical Care
Authors: Mehta Krisha , Salam Shafkat , Hake Austin , Jennings Rebecca , Rahman Afra , Post Stephen 
Published: November 2023

Abstract
Background: Compassionate care lies at the foundation of good patient care and is a quality that patients and providers continue to value in the fast-paced setting of contemporary medicine. Compassion is often talked about at a superficial level in medical school curricula, but the practical aspect of learning this skill is often not taught using a formal framework. In the present work, the authors present an 8-session curriculum with a mindfulness-based approach to compassion that addresses this need. It is hypothesized that students in this curriculum will improve in their levels of compassion based on validated scales.
Methods: The curriculum was delivered to fourth-year medical students at Renaissance School of Medicine at Stony Brook University who had just completed their clerkship year. It was developed as a customizable set of modules which could be delivered in various ways. The students were taught with evidence-based cognitive exercises followed by group discussions and written reflections based on compassion-focused thematic questions. All students completed a pre- and post-Self-Compassion Scale, Compassion Scale, and Toronto Mindfulness Scale. Students in this course were compared with students in different courses about non-clinical topics delivered at the same time. Paired t-tests were used to assess potential associations between pre- and post survey responses for the validated scales and subscales.
Results: 17 fourth-year medical students completed pre- and post-course tests, 11 participated in the compassion curriculum while 6 participated from the other courses. Prior to any of the courses beginning, all students performed similarly on the pre-test across all scales. The students in the compassion curriculum demonstrated a significant increase in their total Self-Compassion score by 8.7 [95% CI 4.3 to 13.2] points (p=0.001), total Compassion score by 6.0 [95% CI 1.4 to 10.6] points (p=0.015), and the curiosity component of the Toronto Mindfulness Scale by 4.4 [95% CI 1.0 to 7.7] points (p=0.015). There was no statistically significant difference between pre- and post-tests among the non-compassion curriculum students in the aforementioned scales (p=0.45, p=0.069, p=0.092, respectively).
Conclusions: Our results indicate that the students in our course developed an enhanced ability to engage in self-compassion, to understand the shared human experience, and to be motivated to act to alleviate suffering. Regardless of a program's existing compassion education, this customizable model allows for easy integration into a medical student’s crowded curriculum. Furthermore, although teaching compassion early and often in a clinician’s training is desirable, our study that targeted fourth-year medical students suggests an additional benefit of rekindling the loss of compassion well described in a medical student’s clinical years.
Assessment of Single Nucleotide Variants in hGPRC5A Gene Using in-silico Tools
Authors: KARAALİ Merve DEMİRBAĞ , UZ-YILDIRIM Elif , ÇELİKLER Serap 
Published: November 2023

Abstract
G-protein-couple receptor family C group 5 member A (GPRC5A) encodes a transmembrane protein and is induced by retinoic acid. Dysfunctional GPRC5A was reported to activate numerous signal transduction cascades and its tumor suppressor role was emphasized especially in lung cancer in recent studies. Furthermore, various cancers, including colorectal cancer, breast cancer, and pancreatic cancer, have also been associated with GPRC5A dysregulation. In current study, we analysed the functional consequences of single nucleotide variants (SNVs) in the human GPRC5A gene using in-silico tools. We classified 76 missense variants as pathogenic based on the combined scores of commonly used in-silico tools tools—MutationTaster2, Polyphen2, and MutPred2. Among these 76 variants, three (p.S336Y, p.Y347H, p.Y350H) were identified to be located in post-translational modification and regulatory protein binding sites, suggesting their potential as putative functional variants. Moreover, we obtained strong evidence for rs112948541 and rs767232322 variants being as regulatory important. Additionally, we identified 16 miRNA target sites for the two variants (rs200040454 and rs144308510) in the 3' untranslated region of the GPRC5A. The results of in-silico analyses highlight the functional importance of the GPRC5A variants that may contribute to the GPRC5A-associated cancer types and the importance of in vivo evaluation to reveal their role in human cancer.
Household Income Structure and Poverty Vulnerability: A differential Analysis Based on Chinese Families
Authors: Shao Wenbo , Li Qin , Ren Gui 
Published: November 2023

Abstract

The focus of poverty reduction has shifted from poverty incidence to poverty vulnerability in China. This paper mainly studies the influence of different income sources on the probability of poverty incidence in Chinese households. Through theoretical analysis, we can find that the diversification of income sources can significantly reduce the poverty vulnerability for all households, in which the increase of wage income shares will reduce the poverty vulnerability, and the increase of transfer income shares will do the opposite. Distinguishing between urban and rural households, the rural household's agricultural income shares has a threshold effect on poverty vulnerability, while the urban household's industrial and commercial income shares also has a threshold effect on poverty vulnerability. Firstly, promoting employment is still an important policy to prevent returning to poverty, but at the same time, we can also diversify the income structure of low-income families in line with local circumstances; Secondly, the focus of poverty alleviation for rural households and urban households should be treated differently. The former is mainly targeted at low-income families with predominance of agricultural income, while the latter are mainly targeted at low-income households with predominance of industrial and commercial incomes. Thirdly, the government can take consideration into the continuity of poverty alleviation work, and pay more attention to households with incomes below the threshold and with a single income.
The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review
Authors: Selvam Avines Panneer , Al-Humairi Safaa Najah Saud 
Published: November 2023

Abstract

The observation of weather and its impact on human life is undeniable. Weather observations are essential for various sectors, including agriculture, transportation, aviation, and disaster management. Therefore, the collection of data on weather variations is crucial. However, the transient nature of weather variations makes it difficult to collect accurate and real-time data. To overcome this challenge, researchers have developed smart real-time weather monitoring systems integrated with mobile applications. These systems utilize various frameworks, technologies, and techniques, including the Internet of Things (IoT), Arduino, machine learning algorithms, deep learning algorithms, and sensors that measure temperature, humidity, wind speed, and wind direction. These systems provide real-time data on weather conditions, enabling individuals to make informed decisions. The primary objective of this review paper is to critically examine and elaborate on multiple research studies that focus on integrating smart real-time weather monitoring systems with mobile applications. The aim is to understand the techniques, methodologies, and technologies employed in designing and developing such systems. One of the key findings of this review is that integrating smart real-time weather monitoring systems with mobile applications has significant potential to improve weather forecasting and monitoring. For instance, machine learning algorithms can analyze sensor data to identify patterns and accurately predict future weather conditions.Additionally, integrating cloud computing technology in these systems allows for secure data storage, making it accessible to validated individuals from anywhere. In conclusion, integrating smart real-time weather monitoring systems with mobile applications has enormous potential in improving weather forecasting and monitoring. Various frameworks, technologies, and techniques have enabled researchers to develop sophisticated systems that collect accurate and real-time data on weather conditions. These systems significantly affect various sectors, including agriculture, transportation, aviation, and disaster management.