bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling And Enhancing Crude Oil Price Forecasting Using Enhanced Set Algebra-Based Heuristic Algorithm-Based Extreme Learning Machine
Authors: Behera Sudersan , Kumar A V S Pavan , Nayak Sarat Chandra 
Published: February 2024

Abstract
This study has two main aspects. Firstly, we combined the Nelder-Mead Simplex Algorithm with the Set Algebra-Based Heuristic Algorithm (SAHA) in order to improve SAHA's capacity to do local searches. This integration resulted in a hybrid learning approach known as ESAHA. After that, we use the Enhanced Simulated Annealing with Hybrid Algorithm (ESAHA) to improve six benchmark functions so that we can see how well ESAHA works. Furthermore, we utilize ESAHA hybrid learning to enhance the weights and biases of an Extreme Learning Machine (ELM), resulting in the creation of a hybrid model referred to as ESAHA-ELM. We utilize the ESAHA-ELM model to predict the final price of crude oil datasets. In addition, we employ the SAHA, BMO, PSO, and GA algorithms to train the ELM and generate four alternative models for the purpose of comparison in the forecasting job. In order to examine the predictive accuracy of each model, we utilize the MAPE and MSE error metrics. Additionally, we implement the Prediction of Change in Direction (POCID) statistical test to determine if there are any significant differences between the models. The experimental investigation shows that the ESAHA-ELM model has statistical relevance in accurately capturing the inherent volatility of financial time series. In addition, it surpasses other models such as SAHA-ELM, MBO-ELM, PSO-ELM, and GA-ELM.
The spatiotemporal changes of urban thermal environment influenced by landscape patterns—based on panel data models
Authors: Chen Ting , Liu Chang , Fu Yao 
Published: February 2024

Abstract
Context
With the development of urbanization, the spatial and temporal distribution characteristics of the urban landscape pattern play a decisive role in the intensity of the urban heat island (UHI) effect.
Objectives
Most of the current dynamic studies utilizing single cross-section data are labor-intensive and lack continuity.
Methods
A panel data model was constructed to study the relationship between the UHI effect and landscape pattern in Kunming City from four perspectives from 1995 to 2020.
Results
With the passage of time, the UHI is becoming more and more obvious in Kunming. The variables affecting the surface radiation temperature are different at different scales, and the variables affected by increasing scales are increasing. An ordinary least squares (OLS) model was constructed to verify the reliability of the panel data model results. The normalized water body index (NDWI) has the greatest influence on the surface thermal radiance, and the cooling effect is more obvious with the increase in scale. Unlike previous studies, the spatial configuration of the landscape in Kunming City had a stronger effect on the UHI effect than the landscape grouping and vegetation index.
Conclusion
In this paper, the panel data model is introduced into the discussion of UHIs for the first time. It is also found that the construction of relatively shaped and concentrated green space and the breaking up of the aggregation degree of building land patches are the best ways to improve the UHI.
An electrochemical sensor based on Au nanoparticles for rapid determination of nitrofurazone in aquaculture seawater
Authors: He Yunxia , Chen Jianlei , Zhang Tianruo , Liu Yang , Wang Qingkui , Qu Keming , Cui Zhengguo 
Published: February 2024

Abstract
An electrochemical sensor for the rapid detection of nitrofurazone in aquaculture seawater using a glassy carbon electrode (GCE) modified with Au nanoparticles (AuNPs) was constructed. Compared with the unmodified electrode, the modified electrode had higher electrocatalytic activity than the GCE and could be used for the detection of nitrofurazone efficiently. It could be found that the AuNPs modified electrode had higher specific surface area by the characterization of scanning electron microscopy. The effects of parameters such as electro-polymerization cycles for modified electrode preparation, the pH of the electrolyte for the detection of nitrofurazone were optimized. Under optimized experimental conditions, the peak current and concentration of nitrofurazone varied linearly in the range of 3 µM to 100 µM under square wave voltammetry (SWV), with the limit of detection of 0.24µM. The proposed sensor was successfully applied for the detection of nitrofurazone in aquaculture seawater, and the spiked recoveries were 96.35%-107% (RSD<4.13%), which indicated that the method has satisfactory accuracy and performance for the detection of nitrofurazone in real seawater.
Photo-Synthesis: Attributed controlled sketch to image translation using Generative Adversarial Networks for assisting criminal identification
Authors: Arora Suvrat , Bhatia Naman , - Shanya , - Netra , Pannu Husanbir Singh , Setia Simran 
Published: February 2024

Abstract
Despite the tremendous advancements in the fields of AI in recent years, these technologies have remained understudied in the legal and forensics domain. For example, the Clearview AI system is able to match an uploaded photo with the database of billions of images collected from social media to assist the law enforcement office. This system has also assisted the Ukrainian government in April 2022 to identify living and dead, according to BBC. We propose a Photo-Synthesis system which aims to assist the criminal identification process by generating images from the available sketches. Manual identification of the criminal solely based on the sketch is cumbersome and inefficient. Photo-Synthesis system works in a two-fold manner. First, it gets a sketch input and converts it to multiple real-looking human images along with attributes-altered versions using Generative Adversarial Networks (GANs). These candidate images can directly be employed for criminal identity investigation. Secondly, the face recognition sub-system matches the facial attributes of the generated images with those present in a database of law offenders to identify the criminal. The dataset used is the publicly available Face Sketch Database provided by the Chinese University of Hong Kong. We use a series of GANs (ContextualGANs, GFPGANs, DeOldify) to implement sketch-to-image translation. The series of GAN models help to achieve a structural similarity score of 86\% between sketch and image.
The completion rates of radiotherapy or chemoradiotherapy did not change after SARS-CoV-2 Omicron infection
Authors: Zhang Zhenyu , Zhou Juan , Peng Xun , Li Ping , Meng Xue , Hu Man , Zhao Miaoqing , Lin Qinghai , Ru Kun 
Published: February 2024

Abstract
Background: The SARS-CoV-2 Omicron pandemic had a global impact on individuals with cancers. This study aimed to investigate the effect of Omicron infection on cancer patients in China.
Methods: A retrospective study was conducted, including 347 patients with cancer who received radiotherapy or chemoradiotherapy between July 2022 and March 2023. The patients were divided into three groups: those without SARS-CoV-2 infection during treatment (Non-COVID-19 group), those who began treatment at least 10 days after first testing positive for SARS-CoV-2 (≥10-d COVID-19 group), and those who began treatment less than 10 days after first testing positive for SARS-CoV-2 (<10-d COVID-19 group). The serum levels of SAA, hsCRP, ALT, etc, were used to assess the severity of inflammation, liver damage, and cardiovascular injury.
Results: The proportion of moderate and severe infected cases was higher in ≥10-d COVID-19 group compared with <10-d COVID-19 group (p=0.0446). Additionally, the serum levels of SAA, hsCRP, IL-6 and PCT, were significantly higher in ≥10-d COVID-19 group (p<0.05). Serum ALT, LDH and HBDH levels were also elevated in ≥10-d COVID-19 group (p<0.05). However, no significant differences were observed in frequency of neutropenia, thrombocytopenia and completion rates among three groups.
Conclusion: Omicron infection leads to inflammation, liver damage and cardiovascular injury in cancer patients. Surprisingly, the duration of delay in radiotherapy or chemoradiotherapy after Omicron infection did not affect completion rates of current therapy, which was not consistent with the recommendations of NCCN guidelines. Moreover, the severity of Omicron infection was worse among cancer patients who received delayed treatment.
3A-COT: An Attend-Arrange-Abstract Chain-of-Thought for Multi-Document Summarization
Authors: Zhang Yongbing , Gao Shengxiang , Huang Yuxin , Yu Zhengtao , Tan Kaiwen 
Published: February 2024

Abstract

Large language models (LLMs) have shown significant promise in single-document summarization (SDS). However, there has been limited exploration in multi-document summarization (MDS). The primary challenge in MDS lies in effectively navigating the intricate and complex relationships between multiple documents, including issues such as contradictions, redundancies, and complementarities. Taking inspiration from chain-of-thought (CoT) and how human approaches to MDS, this paper proposes a novel MDS method called Attend-Arrange-Abstract CoT (3A-COT). The method comprises three critical stages. Attend: To alleviate redundancies between multiple documents, key information should be focused first. Therefore, we design an Attend-prompt to extract key elements from each document and generate key information based on these key elements. Arrange: Considering the contradictions and complementarities between these key information, we design an Arrange-prompt to arrange the relationships and connections between these key information across multiple documents to form reasonable logic relationships. Abstract: Finally, an Abstract-prompt is designed to guide the generation of a summary based on the arranged key information. To evaluate 3A-COT, we conduct experiments on four MDS test sets: Multi-News, Human-edited Multi-News, WCEP-10, and Multi-XScience. Experimental results show that 3A-COT outperforms other LLM-based MDS methods. Furthermore, in-depth analysis experiments are conducted to evaluate 3A-COT's efficacy in handling contradictions, redundancies, and complementarities.
Drivers of child marriage in Eastern and Western Provinces in Zambia and effective preventive interventions: Findings from a rapid document review and three stakeholder meetings
Authors: Kabelka Hannah , Zulu Joseph Mumba , Baatsen Pam , Kok Maryse 
Published: February 2024

Abstract

Background
Zambia has one of the highest child marriage rates in the world. Drivers of child marriage are multifaceted, complex and interrelated, firmly embedded in the social and cultural context. This study explored why, despite lower poverty and equal teenage pregnancy levels, child marriage is more prevalent in Eastern than in Western province in Zambia; and what are potential effective preventive interventions. This knowledge is vital for informing the development of effective preventive interventions in Eastern Zambia and beyond.
Methods
Guided by a conceptual framework on drivers of child marriage by Psaki et al. (2021), this study combined a rapid review of the literature on drivers and preventive interventions concerning child marriage relevant to Zambia with three participatory stakeholder meetings in Zambia to discuss, validate and complement findings.
Results
Poverty and lack of opportunity, including low education levels, are among the main drivers of child marriage in Zambia. Influenced by socio-cultural and gender norms and practices, people in the Western and Eastern provinces seem to react differently to teenage pregnancy. In Eastern province, pregnancy is followed by marriage, while in Western province, a historical high value of education makes more pregnant girls to continue school and not marry. Conditional cash transfers to keep girls in school and, to a lesser extent, empowerment interventions emerged as the most effective evidence-informed preventive interventions. Limited acceptability of young people’s sexuality and needs for information and services and too little involvement of traditional and religious leaders need further attention to address child marriage in both provinces.
Conclusion
Interventions to prevent child marriage in Zambia need to focus on the main drivers of the practice. Norm change around the value of education, conditional cash transfer, working towards increased acceptability of sexual and reproductive health information and services for young people, empowerment interventions and strategic alliances with traditional and religious leaders, can contribute to combat child marriage.
Risk factors for hidden blood loss in unilateral biportal endoscopic lumbar interbody fusion: A single-center retrospective study
Authors: Jin Jian-fang , Chen Hao-ran , Peng Yu-jian , Dai Jun , Wang Qian-liang , Yan Jun 
Published: February 2024

Abstract
Background
An increasing number of lumbar degenerative diseases are being treated with unilateral biportal endoscopic interbody fusion surgery (ULIF). However, hidden blood loss (HBL) is often ignored during this procedure. We investigated the amount and influencing factors of HBL in ULIF surgery in this study.
Methods
Between October 2020 and November 2023, 100 patients were retrospectively examined, and their clinical and radiological data were analyzed. In order to investigate an association between patient characteristics and HBL, Pearson or Spearman correlation analyses were performed.To identify the clinical or radiological factors associated with HBL, multivariate linear regression was carried out .
Results
The mean HBL was 255.84 ± 290.89 ml, accounting for 62.48% of the total blood loss. A Pearson or Spearman correlation analysis revealed a positive relationship between HBL and American Society of Anaesthesiologists (ASA)classification (P = 0.009), operation time (P = 0.004), numer of operation level (P = 0.046) and paraspinal muscle thickness (P = 0.043),but a negative relationship with tranexamic acid use (P = 0.001). According to a multivariate linear regression analysis, HBL correlated positively with the ASA classification (P = 0.038) and operation time (P = 0.046), but negatively with the use of tranexamic acid (P = 0.001).
Conclusion
Patients undergoing ULIF surgery incurred a great deal of HBL. More importantly, ASA classification, operation time and tranexamic acid use were independent risk factors for HBL.
Identification and experimental validation of PYCARD as a crucial PANoptosis- related gene for immune response and inflammation in COPD
Authors: Shi Rui , Liang Renwen , Wang Fang , Wang Lueli , Zidai Wuyi , Zhang Jie , Min Luo , Du Xiaohua , Sun Shibo , Xiao Chuang , Li Chaozhong , Liang Xuewu , Chen Alex F. , Yang Weimin 
Published: February 2024

Abstract

Objective
Chronic inflammatory and immune responses play key roles in the development and progression of chronic obstructive pulmonary disease (COPD). PANoptosis, as a unique inflammatory cell death modality, is involved in the pathogenesis of many inflammatory diseases. We aim to identify critical PANoptosis-related biomarkers and explore their potential effects on respiratory tract diseases and immune infiltration landscapes in COPD.
Methods
Total microarray data consisting of peripheral blood and lung tissue datasets associated with COPD were obtained from the GEO database. PANoptosis-associated genes in COPD were identified by intersecting differentially expressed genes (DEGs) with genes involved in pyroptosis, apoptosis, and necroptosis after normalizing and removing the batch effect. Furthermore, GO, KEGG, PPI network, WGCNA, LASSO-COX, and ROC curves analysis were conducted to screen and verify hub genes, and the correlation between PYCARD and infiltrated immune cells was analyzed. The effect of PYCARD on respiratory tract diseases and the potential small-molecule agents for the treatment of COPD were identified. PYCARD expression was verified in the lung tissue of CS/LPS-induced COPD mice.
Results
PYCARD was a critical PANoptosis-related gene in all COPD patients. PYCARD was positively related to NOD-like receptor signaling pathway and promoted immune cell infiltration. Moreover, PYCARD was significantly activated in COPD mice mainly by targeting PANoptosis.
Conclusion
PANoptosis-related gene PYCARD is a potential biomarker for COPD diagnosis and treatment.
The nonprofit veterinarian shortage: who will care for the pets most in need?
Authors: Kogut Susanne , Montgomery Meredith L. , Levy Julie K. 
Published: February 2024

Abstract

Introduction:
The national shortage of veterinarians, and the technicians and assistants who support them, has depleted every sector of the profession, including private practices, emergency and specialty clinics, agricultural practices, public health departments, and veterinary college faculty. The purpose of this study was to determine the impact of the veterinary workforce shortage on veterinary care provided at two types of public practice: 1) veterinary care for cats and dogs housed temporarily in animal sheltering organizations, and 2) veterinary clinics aimed at increasing access to care for animals in the community.
Methods:
Surveys were disseminated to 333 animal sheltering organizations (ASO) receiving a minimum of 2,500 animals annually and 118 access to care clinics (ATCC) that partner with or receive grants from the national animal welfare nonprofit Petco Love. Surveys included questions about staffing and vacant positions for veterinarians and veterinary support staff, current hiring efforts for veterinarians, and delays in animal care.
Results:
A total of 179 ASO completed the survey (54% response rate). Most reported being short-staffed for veterinarians (130/179; 73%) and for veterinary support staff (132/179; 74%). Of 143 ASO answering a question about spay/neuter surgeries,130 (91%) reported having a backlog with a combined total of 18,648 animals awaiting surgery. A total of 57 ATCC responded to the survey (48% response rate). Of these, 41 (72%) reported being short-staffed for both veterinarians and veterinary support staff. As a result, clients were waiting longer than usual for care at 45 clinics (79%), with delays of two months or more at 28 clinics (51%).
Conclusion:
This study highlights the critical impact of severe veterinary workforce shortages on nonprofit organizations responsible for medical care for the most vulnerable cats and dogs. These shortages pose substantial risks to animal welfare, the human-animal bond, and public health.
Intersections of climate change with food systems, nutrition, and health: an overview and evidence map
Authors: Sparling Thalia M. , Offner Claudia , Deeney Megan , Denton Philippa , Bash Kristin , Juel Rachel , Moore Susan , Kadiyala Suneetha 
Published: February 2024

Abstract

Scientific research linking climate change to food systems, nutrition and nutrition-related health (FSNH) has proliferated, showing bidirectional and compounding dependencies that create cascading risks for human and planetary health. Within this proliferation, it is unclear which evidence to prioritise for action, and which research gaps, if filled, would catalyse most impact. We systematically searched for synthesis literature (i.e. reviews) related to FSNH, published after January 1, 2018. We screened and extracted relevant characteristics of these reviews, and mapped them in an interactive Evidence and Gap Map (EGM), supplemented by expert consultation. 844 synthesis reports met inclusion criteria (from 2,739 records) and were included in the EGM. The largest clusters of evidence were those describing climate impacts on crop and animal source food (ASF) production, and emissions from such (86%). Comparatively few reports assessed climate change related to nutrition-related health, or food manufacture, processing, storage, and transportation. Reports focused on strategies of adaptation (40%), mitigation (29%), both (19%) or none (12%). A striking lack of reports critically evaluated equity (25%), and even fewer reports suggesting changes to equity and equitable practices would alter the climate-FSNH dynamic (6%). The expert consultation mirrored the results of the EGM, and contextualised findings further. This novel map describes a wide research landscape linking climate change to FSNH. We identified four key evidence gaps, including 1) Research on whole food systems or post-harvest elements 2) Research evaluating relationships between climate change and nutrition-related health outcomes, especially among vulnerable populations; 3) Promising methods (and additional data required) that can a) identify inflection points or levers for intervention, b) incorporate complex dynamics and characterize trade-offs, c) be understood and applied in context-specific, localised ways for decision-making; and 4) Promoting interdisciplinary collaborations that enable producing and translating evidence to action, especially those that inherently consider co-production and fairness.
The Ykt6-Snap29-Syx13 SNARE complex promotes crinophagy via secretory granule fusion with Lamp1 carrier vesicles
Authors: Szenci Győző , Glatz Gábor , Takáts Szabolcs , Juhász Gábor 
Published: February 2024

Abstract

In the Drosophila larval salivary gland, developmentally programmed fusions between lysosomes and secretory granules (SGs) and their subsequent acidification promote the maturation of SGs that are secreted shortly before puparium formation. Subsequently, ongoing fusions between non-secreted SGs and lysosomes give rise to degradative crinosomes, where the superfluous secretory material is degraded. Lysosomal fusions control both the quality and quantity of SGs, however, its molecular mechanism is incompletely characterized. Here we identify the R-SNARE Ykt6 as a novel regulator of crinosome formation, but not the acidification of maturing SGs. We show that Ykt6 localizes to Lamp1 + carrier vesicles, and forms a SNARE complex with Syntaxin 13 and Snap29 to mediate fusion with SGs. These Lamp1 carriers represent a distinct vesicle population that are functionally different from canonical Arl8+, Cathepsin L + lysosomes, which also fuse with maturing SGs but are controlled by another SNARE complex composed of Syntaxin 13, Snap29 and Vamp7. Ykt6- and Vamp7-mediated vesicle fusions also determine the fate of SGs, as loss of either of these SNAREs prevents crinosomes from acquiring endosomal PI3P. Our results highlight that fusion events between SGs and different lysosome-related vesicle populations are critical for fine regulation of the maturation and crinophagic degradation of SGs.
Cancer Pathways Targeted by Berberine: Role of microRNAs
Authors: Ali Mansoor , Mishra Deepali , Singh Rana Pratap 
Published: February 2024

:
Cancer is a complex and heterogeneous malignant disease. Due to its multifactorial
nature, including progressive changes in genetic, epigenetic, transcript, and protein
levels, conventional therapeutics fail to save cancer patients. Evidence indicates that
dysregulation of microRNA (miRNA) expression plays a crucial role in tumorigenesis,
metastasis, cell proliferation, differentiation, metabolism, and signaling pathways. Moreover,
miRNAs can be used as diagnostic and prognostic markers and therapeutic targets
in cancer. Berberine, a naturally occurring plant alkaloid, has a wide spectrum of biological
activities in different types of cancers. Inhibition of cell proliferation, metastasis, migration,
invasion, and angiogenesis, as well as induction of cell cycle arrest and apoptosis
in cancer cells, is reported by berberine. Recent studies suggested that berberine regulates
many oncogenic and tumor suppressor miRNAs implicated in different phases of
cancer. This review discussed how berberine inhibits cancer growth and propagation
and regulates miRNAs in cancer cells. And how berberine-mediated miRNA regulation
changes the landscape of transcripts and proteins that promote or suppress cancer progression.
Overall, the underlying molecular pathways altered by berberine and miRNA
influencing the tumor pathophysiology will enhance our understanding to combat the
malignancy.