bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning-Based Prediction Models for Parathyroid Carcinoma Using Pre- Surgery Cognitive Function and Clinical Features
Authors: wang yuting , Wei Bojun , Zhao Teng , Shen Hong , Liu Xing , Wang Jiacheng , Wang Qian , Shen Rongfang , Feng Dalin 
Published: August 2023

Abstract

Background Patients with parathyroid carcinoma (PC) are often diagnosed postoperatively, due to incomplete resection during the initial surgery, resulting in poor outcomes. The aim of our study was to investigate the pre-surgery indicators of PC and try to develop a predictive model for PC utilizing machine learning. Methods Evaluation of pre-surgery neuropsychological function and confirmation of pathology were carried out in 133 patients with primary hyperparathyroidism (PHPT) in Beijing Chaoyang Hospital from December 2019 to January 2023. Patients were randomly divided into a training cohort (n = 93) and a validating cohort (n = 40). Analysis of the clinical dataset, two machine learning including the extreme gradient boosting (XGBoost) and the least absolute shrinkage and selection operator (LASSO) regression were utilized to develop the prediction model for PC. Logistic regression analysis was also conducted for comparison. Results Significant differences in elevated parathyroid hormone and decreased serum phosphorus in PC compared to (BP). The lower score of MMSE and MOCA was observed in PC and a cutoff of MMSE < 24 was the optimal threshold to stratify PC from BP (area under the curve AUC 0.699 vs 0.625). The predicted probability of PC by machine learning was similar to the observed probability in the test set, whereas the logistic model tended to overpredict the possibility of PC. The XGBoost model attained a higher AUC than the logistic algorithms and LASSO models. (0.835 vs 0.683 vs 0.607) Conclusions Preoperative cognitive function may be a probable predictor for PC. The cognitive function-based prediction model based on the XGBoost algorithm outperformed LASSO and logistic regression, providing valuable preoperative assistance to surgeons in clinical decision-making for patients suspected PC.
Structural characterization, lattice features, and optical, and magnetic properties of Ni-Cr oxide nanocomposite
Authors: Javadi Maryam , Mohammadzadeh Hurieh , Aghaeinejad-Meybodi Abbas 
Published: August 2023

Abstract
In the present study, the nanocomposite of Ni-Cr oxide was synthesized through the chemical co-precipitation route with different ratios of NiO to Cr2O3, including 50–50, 60 − 40, and 70 − 30 wt. %. The morphological and physical properties of products were assessed thoroughly. Moreover, the possible chemical reactions through synthesis were proposed based on FTIR and XRD results. The crystallite size, the lattice strain, and stress were evaluated through some well-known methods based on XRD diffraction. The particle size and morphology of produced powders were studied by FESEM imaging. Also, the optical and magnetic features were assessed by UV-Vis spectroscopy and VSM analysis, respectively. The results proved the presence of NiO and NiCr2O4 in the calcined products, with uniform distribution of elements and an average particle size of < 30 nm. Moreover, the crystallite size, and the lattice stress and strain decreased with increasing NiO in the product. According to the VSM curves, nanocomposite powders showed a weak ferro/ferrimagnetic signal with a fairly dominant superparamagnetic feature. While the largest coercivity of 252 Oe belonged to the sample 70 − 30, the highest magnetization saturation (0.291 emu/g) was observed for 50–50. According to the UV-Vis curves, the value of band gap energy was in the semiconductor’s domain and increased by NiO value in the hybrid oxide combination.
I know what I'm supposed to do, but I don't do it”: Patient-perceived risk factors that lead to their lower extremity amputations
Authors: chmo Marcelle Marie Ben , Matricciani Lisa , Kumar Saravana , Graham Kristin 
Published: August 2023

Abstract
Background
The purpose of this study is to extend on our previous research by exploring patient-perceived factors that lead to their Lower extremity amputations (LEAs). LEAs are a serious complication of type 2 diabetes mellitus (T2DM), LEAs are thought to be preventable with early detection and management of risk factors. Our previous study identified that these factors extend beyond the typical biological and modifiable risk factors and may also extend to patient awareness and competing priorities. Therefore, this research explored these issues in further detail, identifying patient-perceived factors that lead to their LEA.
Methods A qualitative descriptive methodology involving non-probability purposive sampling was used to recruit inpatients at a tertiary metropolitan hospital in South Australia. Semi-structured interviews were conducted, and data were transcribed verbatim. Data from the interviews were analysed using thematic analysis and the constant comparison approach.
Results A total of 15 participants shared their perspectives of risk factors for LEAs. Two main themes emerged: intrinsic and extrinsic factors. Intrinsic factors identified in this study included identity, ambivalence, denial, inevitability, and helplessness. Extrinsic factors related to resources, rapport with health care professionals, and management of care.
Conclusions Through identifying that a combination of perceived personal attributes (intrinsic) and system-level (extrinsic) factors likely contribute to LEAs, this study highlights the complexity of factors that contribute to patients' perceptions of what led to their diabetes related LEA. These findings support the importance of a nuanced approach in managing patients with diabetes who are at risk of LEA as it is likely patients’ personal circumstances, day-to-day life’s requirements and responsibilities, their interaction with healthcare professionals all seemingly contribute to how risks are viewed and managed. Tackling this challenge will require reimagining diabetes care, acknowledgement of risk factors beyond the obvious and addressing persistent access and workforce issues.
Effect of low-frequency electric field on microbial community structure of Pacific white shrimp (Penaeus vannamei) during ice-temperature storage
Authors: Xu Lijuan , Chen Haiqiang , Liang Zuanhao , Chen Shanshan , Xia Yu , Zhu Siming , Yu Ming 
Published: August 2023

Abstract
Low-frequency electric field (LFEF) is a potential adjuvant technology for low-temperature preservation that can stabilize the supercooling state while delaying corruption and extending the shelf life. Changes in microbial community composition was investigated in Penaeus vannamei treated with LFEF in combination with ice temperature for 11 days. LFEF treatment increased the abundance and diversity of microbial communities in Penaeus vannamei and better maintained the relative content of original bacteria (Ralstonia), which indicates that LFEF contributes to the improvement in the species diversity. The spoilage microorganisms of shripm samples stored at ice temperature for 11 days included Aliivibrio, Pseudoalteromonas, Photobacterium, Moritella and Psychrobacter, which were also positively correlated with TVB-N and pH. However, Pseudoalteromonas and Psychrobacter were dominant in LFEF-treated samples. According to the difference analysis, LFEF treatment leaded to smaller changes in microbial structure, and the results showed that LFEF can effectively inhibit Vibrionaceae. A Spearman correlation analysis showed that Ralstonia and Faecalibacterium were positively correlated with spoilage bacteria, which may provide a reference for the improvement of LFEF assisted preservation. In conclusion, LFEF as an auxiliary technology for low temperature preservation is a reliable and potential method for preserving the quality of aquatic products.
A Comprehensive Framework of Information Technology Service Quality Assessment in a Manufacturing Company
Authors: Khamoushpour Behnam , Aboumasoudi Abbas Sheikh , Shahin Arash , Khademolqorani Shakiba 
Published: August 2023

Abstract

With the advancement of technology, service quality has become strongly reliant on providing Information Technology (IT) services in all sections of an organization. Accordingly, a comprehensive framework is represented in this study to assess the quality of services supplied by the IT unit in a manufacturing company, which integrated the SERVQUAL model, the service quality gap, and IT service management metrics across the entire organization's supply chain. Regarding model reliability, a data-based decision model was designed in which big data analysis, including data mining and machine learning methods, was considered. The essential analytical objectives for evaluating IT unit , were figured out. A steel production company was also used to express the efficiency and effectiveness of the proposed framework. The results determined SERVQUAL dimensions of reliability, responsiveness to tangible factors, sympathy, guarantee and the functional dimensions of problem-solving time, response time, and agreed service level are the most important, respectively.
Self-Reported Prescribing Behaviour of Vitamin D Prophylaxis in Healthy Children by Belgian Paediatricians
Authors: Raaijmakers Anke , De Crem Charlotte , Winckel Myriam Van , Vandenplas Yvan 
Published: August 2023

Abstract
Background
There is currently no consensus on the guidelines for vitamin D prophylaxis in healthy children. The purpose of this study was to investigate the prescribing behaviour of vitamin D prophylaxis among Belgian paediatricians.
Methods
Between June and September 2022, a questionnaire was distributed by e-mail to all Belgian paediatricians who are members of at least one of three scientific or professional organizations, as well as to the heads of every Belgian paediatric or neonatal hospital ward.
Results
We analysed 426 completed questionnaires. All regions, age categories and subspecialties were represented. Vitamin D prophylaxis is always or frequently recommended by 98% of paediatricians. Fifty-eight percent of paediatricians advise vitamin D prophylaxis up to the age of 6 years and 66% of paediatricians advise a daily dose of 400 IU. In nearly every hospital in Belgium (96%), there is a specific protocol for vitamin D prophylaxis for newborns; but not for the paediatric unit.
Conclusions
Nearly all Belgian paediatricians prescribe vitamin D prophylaxis to infants. Although not recommended by guidelines, 25-OH-vitamin D is frequently measured by paediatricians. Practices regarding duration and dosing of vitamin D prophylaxis show large variability. Most paediatric wards do not have a protocol.
Input Price Discrimination, Horizontal Merger and Social Welfare in a Vertical Quality-Differentiated Market
Authors: Ying Bin , Wang Leonard F.S. , Tao Haisen 
Published: August 2023

Abstract
We consider vertical quality-differentiated products in a two-tier market in which there are two incumbent firms that produce the high-and low-quality products, and one potential new firm produces low-quality product. The upstream firm may charge uniform input price (UIP) or input discriminatory price (IDP) to the downstream firms. We show that once high-quality firm merged with the other low-quality firm, the merged firm will only produce high-quality product. What’s more, after firm 1 merged with firm 2, upstream firm adopts IPD strategy enhances social welfare if the difference of effective demand between high-quality product and low-quality product is sufficiently large.
JEL Classifications: L24; L13; D43; D12
Research on utilization and stability monitoring of mean kinetic temperature in the 21st century for pharmaceutical products
Authors: Miura Ensei 
Published: August 2023

Abstract
Background: The guidelines of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), which was established in 1990, streamlined and standardized drug approval review standards across Japan, the United States, and Europe. Methods: This study used an excerpt of the test conditions described in the ICH guidelines to calculate the mean kinetic temperature (MKT) for major Japanese cities based on temperature data from 1991–2020 (measured by the Japan Meteorological Agency). Results: The study confirmed that the temperature conditions prescribed by the As Figure1 shows, ICH guidelines for long-term storage tests were met. Additionally, as drugs can be exposed to temperatures outside the specified range during distribution from the manufacturer to the final customer, data logs/loggers were utilized to calculate the MKT using the temperature history during transportation and storage.
Efficacy and safety of Orelabrutinib-based regimens in diffuse large B-cell lymphoma: A single-center retrospective analysis
Authors: Wei Ruowen , Wu Yingying , Jiang Shan , Zhang Ao , Zhang Lu , Liu Ling , Wang Yadan , Zhang Min , Mei Heng , Liu Fang , Xia Linghui , Cui Guohui , Fang Jun 
Published: August 2023

Abstract
Currently, combining chemotherapy with Bruton tyrosine kinase inhibitors (BTKi) has demonstrated significant effectiveness in treating patients with diffuse large B-cell lymphoma (DLBCL). Orelabrutinib is a second-generation BTK inhibitor and presently, there have been few reports of Orelabrutinib being used to treat DLBCL. We conducted a retrospective investigation to explore the safety and efficacy of Orelabrutinib in combination with chemotherapy or immunotherapy. The study comprised 19 patients with a median age of 61 years. The overall response rate (ORR) was 89.5% with a complete response (CR) rate of 73.7% and a partial response rate (PR) of 15.8%. The estimated two-year overall survival (OS) and progression-free survival (PFS) rates were 78.6% (95%CI, 59.8% -100%) and 72.2% (95% CI, 52.4% -99.6%), respectively, with a median follow-up time of 11 months (range 2–24). The most prevalent grade 3 or 4 adverse events (AEs) Neutropenia (52.6%), anemia (36.8%), thrombocytopenia (26.3%), and lung infection (10.5%) were the most common. Our results reveal that Orelabrutinib is an effective therapy for DLBCL patients. Furthermore, our first investigation of the Orelabrutinib application lays a foundation for larger retrospective studies.
The Spatial Characteristics of Yi Ethnic Traditional Villages and Dwellings Based on Spatial Syntax
Authors: Lai Qin , Liu Wei , Li Xing , Jin Qiu 
Published: August 2023

Abstract
Traditional villages and dwellings are an essential component of cultural heritage, closely associated with the distinctive cultural characteristics of ethnic regions. This study focuses on traditional Yi ethnic villages in Liangshan and employs spatial syntax analysis and quantification methods. The research explores the cultural factors behind the spatial characteristics of towns and dwellings. The findings reveal that the selected village exhibits weak recognizability, strong independence, and an inward and closed spatial configuration centered in the middle section. Homes are typically arranged with a main building and two side buildings revolving around a central courtyard and a main hall. Internally, the arrangement of rooms shows flexibility and diversity, with the rooms of younger generations surrounding those of the elders and functional spaces organized around the hearth. These spatial characteristics are influenced by various cultural factors, including the mountainous terrain, lineage system, semi-agricultural and semi-pastoral production methods, emphasis on family harmony, use of lightweight local materials, and reverence for nature and the hearth. This research provides insights into the conservation and inheritance of Yi ethnic architectural and cultural heritage.
Application research of artificial intelligence technology in smart stadium management under the background of low carbon economy
Authors: Hou Xiaobo 
Published: August 2023

Abstract
The purpose of this research paper is to investigate the use of AI in stadium management systems. Artificial intelligence (AI) technology is essential for fundamentally addressing the issues of optimum energy consumption, cost-effectiveness, and low carbon emissions in huge sports stadiums, which may utilise up to 10,000 kW of electricity on the day of any sporting event. Due to its intricate internal operations and comprehensive functioning, the Stadium's Electricity (SE) is both costly and crucial in meeting the stadium's capacity requirements. Due to the huge and variable nature of electrical consumption at a stadium, efforts to increase energy efficiency are labor-intensive and time-consuming. Whenever a sporting event concludes, the stadium's information feed is disconnected and emptied. For use in the event of a power failure during sporting events, the system is always prepared. Accurate representations and human-structure interaction models, as well as identifying acceptable facility vibration serviceability restrictions of crowd activities, are only two of the many factors that need to be carefully assessed. There are a number of challenges associated with large crowds, both in terms of coordinated movement and random motion, in a stadium setting. The term "Artificial Intelligence" (AI) is used in the field of computer science to describe the attempt to create computers with intelligence similar to that of human beings. Several fields may benefit from AI's versatility, including NLP, SR, and CV. In addition to improving stadium control in a number of ways, this paper also provided a novel approach to (SE-AI). The smart stadium design integrates construction machinery into the building process efficiently. The smart sports concept is established in the electrical layout of the stadium. The engineering design concepts are used to investigate the stadium's electrical design system in order to give useful information for the stadium's electrical design work. Because of scientific and technological progress and digitization, the stadium's equipment is evolving toward artificial intelligence. A greater societal effect is possible if the findings of this study can be used as a manual for improving the electrical design of stadiums.
Transcriptome-Wide identification and characterization of regulatory landscape of NAC Genes in Drimia indica.
Authors: Shit Vivek , Dhakar Mahesh Kumar , Kumar Manoj 
Published: August 2023

Abstract
Drimia indica, a medicinal plant with promising therapeutic potential, aimed to understand the role of the NAC gene family in plant development and stress responses to enhance its medicinal properties and agronomic traits. We identified and characterized sixty-one non-redundant putative NAC genes, analyzing their physicochemical properties, which exhibited variations in amino acid composition, length, molecular weight, and isoelectric points. Subcellular localization prediction revealed diverse protein distributions, mainly within the nucleus. Phylogenetic analysis classified the NAC genes into 17 subgroups, showing distribution differences between Drimia indica and Arabidopsis. Gene structure analysis unveiled a conserved intron-exon organization within each subfamily. Motif analysis identified ten conserved motifs, with 'Motif 5' being the most prevalent. Promoter analysis detected cis-elements responsive to light, abscisic acid, methyl jasmonate, and MYB transcription factors. Additionally, transcription factor binding site analysis revealed several families potentially regulating NAC gene expression. MiRNA target analysis highlighted the significant role of miRNAs in the post-transcriptional regulation of NAC genes. Our findings offer valuable insights into the structural characteristics, regulatory mechanisms, and potential functions of the NAC gene family in Drimia indica, advancing our understanding of plant stress responses and suggesting future research avenues for stress tolerance and secondary metabolite production.
Exogenous jasmonic acid alleviates Cu damages in guinea grass by enhancing photosynthesis, antioxidant enzymes activity and modifying associated metabolites
Authors: Ren Jian , Wei Chenjie , Zhang Yan , Wang Bao , Dai Weiran 
Published: August 2023

Abstract

Jasmonic acid (JA) has the potential to alleviate excess copper (Cu) toxicity in plant, but the underlying regulating mechanisms remain unclear. In this study, guinea grass (Panicum maximum) seedlings were treated with Cu (300 µM), JA (10 µM) or their combinations via Hoagland solution in controlled growth chambers for 30 days. Our study showed that excess Cu stress significantly decreased leaf length, leaf width, plant height, and biomass due to lower chlorophyll content and net photosynthetic rate (Pn). Moreover, Cu stress inhibited the activation of oxidative defense mechanisms, manifested by the increased malondialdehyde and the reduced activities of superoxide dismutase (SOD) and peroxidase (POD). In contrast, exogenous JA application significantly alleviated Cu-induced adverse effects by deceasing of membrane damage, increasing chlorophyll content, Pn and antioxidant enzymes, which lead to biomass accumulation. Metabolic profiling analysis showed that a total of 63 metabolites with differential accumulations were identified when exposed to JA and Cu, mainly including amino acids, organic acid, and carbohydrates. Among the metabolites, the accumulation of capric acid, salicylic acid and glucosaminic acid was significantly reduced due to excess Cu exposure while malic acid and serine content were stimulated, mainly associated with the regulation of the citrate cycle, alanine-aspartate and glutamate metabolism. In contrast, a total of 20 differential metabolites were detected in Cu-treated seedlings when subjected to JA, which were closely related to the pentose phosphate pathway, tricarboxylic acid cycle and glyoxylate and dicarboxylate metabolism. Overall, these results suggest that excess Cu toxicity to guinea grass could be alleviated by exogenous JA through enhancing photosynthesis, antioxidant enzymes activity and modifying associated metabolites and pathways.
Research on Optimization and Risk Control of E-commerce Supply Chain Logistics Management Mode Based on the Internet of Things and Blockchain Technology
Authors: Jun Chen , Lan Jiang 
Published: August 2023

AbstractTo maintain their position as market leaders in the dynamic business climate, e-commerce businesses must successfully improve their supply chains and logistical processes. Due to complex networks, a lack of information transparency and traceability, and security risks, the information flow management in traditional logistics supply chains using centralized databases is now facing several difficulties. By combining the Internet of Things (IoT) and Blockchain Technology (BT), it may be possible to collect information intelligently, store it decentralized, and allow for reliable, cost-effective information flow. Even while IoT-integrated blockchain-based systems offer sufficient benefits across industries, e-commerce supply chain logistics management has so far had a very low acceptance rate. Therefore, in this research, we suggested an IoT-integrated Blockchain approach for improving information security and traceability in the logistics of the e-commerce supply chain. Utilizing an IoT monitoring module, the data is gathered and processed by a smart contract before being entered into a blockchain. ILAES, an improved logistic advanced encryption method, is used to encrypt the data and generate a new data block. The Proof of Logistic Information Share (PoLIS) consensus mechanism is used to validate the data block before it is uploaded to the blockchain. Throughput, block execution time, encryption time, and avalanche impact are used to assess the proposed system's performance. The findings demonstrated how well the suggested solution improved the security and openness of logistical information.