bluuebunny/crossref_metadata_2025_split huggingface dataset:
21st century medicine and emerging biotechnological syndromes: a cross- disciplinary systematic review of novel patient presentations in the age of technology
Authors: Straw Isabel , Rees Geraint , Nachev Parashkev 
Published: May 2023

Abstract

BackgroundBiotechnological syndromes refer to the illnesses that arise at the intersection of human physiology and digital technology. Now that we experience health and illness through so much technology (e.g. wearables, telemedicine, implanted devices), the medium is redefining our expression of symptoms, the observable signs of pathology and the range of diseases that may occur. Here, we systematically review all case reports describing illnesses related to digital technology in the past ten years, in order to identify novel biotechnological syndromes, map out new causal pathways of disease, and identify gaps in care that have disadvantaged a community of patients suffering from these digital complaints.MethodsPubMed, MEDLINE, Scopus, Cochrane Library and Web of Science were searched for case reports and case series that described patient cases involving biotechnological syndromes from 01/01/2012 to 01/02/2022. For inclusion the technology had to play a causative role in the disease process and had to be digital (as opposed to simple electronic).ResultsOur search returned 7742 articles, 1373 duplicates were removed, 671 met the criteria for full review and 372 were included in the results. Results were categorised by specialty, demonstrating that syndromes were most common in Cardiology (n = 162), Microbiology and Infectious Diseases (n = 36), and Emergency and Trauma (n = 26).DiscussionThe 372 unique patient cases demonstrated a range of severity from mild (e.g., injuries related to Pokemon Go) to moderate (e.g. pacemaker-generated rib fractures) and severe (e.g. ventilator software bugs causing cardiac arrest). Syndromes resulted from both consumer technology (e.g. gaming addictions) and medical technologies (e.g. errors in spinal stimulators). Cases occurred at both the individual level (e.g. faulty insulin pumps) and at the population level (e.g. harm from healthcare cyberattacks).LimitationsThis was a retrospective systematic review of heterogeneous reports which may only reflect a small proportion of true prevalence rates in the population.
Prediction of natural gas consumption in residential and commercial buildings; a case of 5 big cities located in the United States
Authors: Nematchoua Modeste Kameni 
Published: May 2023

Abstract
The aims of this study is to predict natural gas consumption and price in residential and commercial building into five big cities (California, Washington, New-York, Texas, and Florida) in the United States. Three different machine learning algorithms such as linear model (LM), Support Vector Machine regression (SVMR), and Random Forest regression (RFR) have been used. Four statistical tests (ANOVA, Chi-square, regression, and Minitab tests) have allowed to select among the eleven weather parameters those that affected significantly the performance of natural gas. Finally, after applied these four tests, only minimum, mean, maximum air temperature and mean air speed have been recognized as principal parameters having a direct impact on the natural gas consumption. To decide on the success of these algorithms, four different statistical metrics (Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Regression coefficient R², and mean square error (MSE)) were discussed in this study. The results showed that linear model and Random forest regression could be applied to predict the natural gas consumption with a good accuracy, despite this, Random Forest regression model is the best fitting model among all the three models used. It is followed by LMR, and SVMR, respectively.
Analysis of the effects of green infrastructure on flooding in Mexico City
Authors: Vargas Rafael , Torres Marco A. , Reinoso Eduardo 
Published: May 2023

Abstract
Expanding urbanization and imperviousness increase the frequency and severity of flooding in cities. Urban planners and decision-makers have implemented green infrastructure solutions in several cities to reduce the impact flooding. This research aims to investigate the effect of surface permeability and green infrastructure implementation on reducing stormwater flooding in Mexico City. First, we modelled the impact of stormwater flooding using the TR-55 methodology in Mexico City in the present condition, without GI. The model was used to identify the city districts with highest flood hazard. Moreover, a combination of scenarios was tested representing five stages of green infrastructure implementation, from 20% to 100% of all adequate areas, under 10, 25, 50, 100, and 500-years precipitation events. Specific criteria for selecting adequate areas for green infrastructure implementation were used. Open geographic data from was used in QGIS. In addition, the maps of estimated flood heights were classified in five hazard classes, from very low to very high. The results showed that implementing 100% of green infrastructure in the adequate areas, reduces the very high flood hazard an average of 12 km2 for five return periods. This study can serve as a reference to other cities to develop plans for green infrastructure implementations.
The Impact of the Urban Matrix on Arthropod Biodiversity and Ecosystem Services in Community Gardens
Authors: Kaiser Asia , Resasco Julian 
Published: May 2023

Abstract

As the number of humans living in cities increases, there is a growing interest in the value of community gardens to provide agricultural products to city dwellers in their own neighborhoods. However, neighborhoods with different land cover and socioeconomic characteristics often differ in their ecological attributes, leading to potential differences in biodiversity-mediated ecosystem services (i.e., pollination and pest control). The "luxury effect" is a documented phenomenon in urban ecology, showing that higher-income neighborhoods have greater biodiversity. Here we ask, how do the landscape and socioecological features of the urban matrix around community gardens impact arthropod biodiversity and the ecosystem services it provides as measured through crop yield? We collected arthropods across community garden sites in Boulder Co., CO, and used experimental jalapeno pepper plants as a sentinel crop to measure herbivory damage and pollination services. Through structural equation modeling, we found that fruit size increased as a function of pollinator biodiversity, and, unexpectedly, pollinator biodiversity was negatively related to neighborhood wealth. Investing in interventions that maximize bee biodiversity in cities may increase equitable food access from community gardens.
Research on Cognitive Radio Spectrum Allocation Strategy Based on Machine Learning Algorithm and Data Science Technology
Authors: Li Xiaowu , Huang Tangsen , Xiao Huijun , Xiao Fuan 
Published: May 2023

Abstract
With the rapid development of wireless communication technology, radio technology has gradually come into people’s sight. The arrival of the information age also makes people more urgent to need radio technology. However, the allocation of traditional static wireless spectrum resources is extremely uneven, which leads to extreme scarcity of spectrum resources. Many authorized spectrum is idle and spectrum utilization is low. In order to improve the utilization of spectrum resources and make secondary use of idle spectrum, this paper studied the cognitive infinite agent Spectrum Allocation (SA) strategy based on Machine Learning (ML) algorithm and data science technology. This paper compared Cognitive Radio (CR) SA based on ML algorithm and data science technology with traditional methods. The experimental results showed that the average practicability of the two CR SA in the public mobile communication frequency band was 80% and 74% respectively; the average practicability in the terrestrial TV frequency band was 75% and 59.5% respectively. Therefore, CR SA based on ML algorithms and data science and technology could improve the practicability and resource utilization of spectrum.
Anatomical Variations in Living Donors for Liver Transplantation – Prevalence and Correlation
Authors: Khalid Abdullah , Saleem M. Asad , Haq Ihsan , Khan M. Yasir , Rashid Sohail , Dar Faisal Saud 
Published: May 2023

Abstract
Purpose:
Living donor liver transplantation (LDLT) is a widely accepted option to address the lack of a deceased liver program for transplantation. Understanding vascular and biliary anatomy and their variants is crucial for successful and safe graft harvesting. Anatomic variations are common, particularly in the right hepatic lobe. To provide evidence for screening potential liver transplant donors, the presence of vascular and biliary anatomic variations in the preoperative assessment of transplantation donor candidates in Pakistan were explored.
Methods:
The was a retrospective cross-sectional study to evaluate the hepatic artery, portal vein, hepatic vein, and biliary variations in living liver donors. The study included 400 living liver donors, and data was collected from March 2019 to March 2023. We used a CT scan and MRCP to assess the anatomical variations.
Results:
The study examined 400 liver donors aged 18 to 53 years. Conventional arterial anatomy was the most common (65.8%), followed by replaced right hepatic artery (16%) and replaced left hepatic artery (10.8%). Conventional type 1 biliary anatomy was seen in 65.8% of cases. The dominant right hepatic vein was found in 13.3% donors. There was a significant association between the prevalence of variant portal venous anatomy with variant biliary anatomy.
Conclusion:
There was high variability in hepatic venous anatomy and a similar prevalence of variant hepatic arterial anatomy to other studies. A strong relationship between variant portal venous and biliary anatomy was found. These findings can aid in selecting suitable candidates and improving surgical planning for liver transplantation.
Ribo-seq and RNA-seq analysis enrich the regulatory network of tomato fruit cracking
Authors: Zhong Zhaojiang , Wu Zhen , Zhou Rong , Yu Xiaowei , Zhou Yuanyuan , Zhai Yinghao , Lin Haowei , Jiang Fangling 
Published: May 2023

Abstract

Tomato (Solanum lycopersicum), one of the most widely grown vegetable crops in the world, faces cracking problems before and after harvest. Fruit cracking reduces the commercial value and seriously affects the economic performance of the fruits through affecting the appearance and quality of the fruit. Clarifying the molecular mechanism underlying tomato fruit cracking is of great importance for the selection and breeding of crack- resistantvarieties. At present, research on the molecular mechanism of tomato fruit cracking has made progress, but few studies have been conducted to explore the genes related to fruit cracking regulation using combined multi-omics analysis. We applied Ribo-seq (ribosome analysis sequencing) and RNA-seq (RNA-sequencing) techniques to uncover potential fruit cracking regulatory genes and improve the regulatory network of fruit cracking using extremely cracking-resistant (CR) and cracking-susceptible (CS) tomato genotypes. Combining these two sets of histological data and translation efficiency, 41 genes were identified to be associated with fruit cracking. The genes played functions on hormone synthesis (Solyc09g089580.4, Solyc07g049530.3, etc.), cell wall metabolism (Solyc04g071070.2, Solyc03g123630.4, etc.), mineral (Solyc10g006660.3, Solyc01g057770.3, etc.), while 10 of them were transcription factors (Solyc05g015850.4, Solyc08g078190.2, etc.).Based on the investigation of interaction relationship between these genes, the synergistic regulation of multi-gene tomato fruit cracking was predicted. Finally, uORFs (upstream open reading frame) in the 5’ UTR region, which may affect the translation efficiency of downstream mORFs (main open reading frame), were analyzed. This study suggests that the synergistic action of transcription and translation is an important molecular mechanism in regulating tomato fruit cracking.
Platelet/Albumin ratio and plateletcrit levels are potential new biomarkers for assessing endoscopic inflammatory bowel disease severity
Authors: Huang Jun , Lu Jie , Jiang Feiyu , Song# Tiejun 
Published: May 2023

Abstract
Purpose
Endoscopy is currently recognized as the gold standard for assessing inflammatory bowel disease (IBD) severity. However, because the procedure is costly and invasive, endoscopy is not suitable for frequently monitoring intestinal inflammation. In this study, our aim was to identify noninvasive, low cost, and convenient biomarkers for identifying endoscopic IBD activity.
Methods
In total, 246 patients with IBD (131 with ulcerative colitis (UC) and 115 with Crohn’s disease (CD)) and 369 healthy controls were recruited for this retrospective study. IBD activity was evaluated using endoscopic and clinical examinations. The potential of several inflammatory biomarkers, including platelets (PLT), plateletcrit (PCT), albumin (ALB), highly sensitive C-reactive protein (hs-CRP), erythrocyte sedimentation rate (ESR), and platelet-to-albumin ratio (PLT/ALB) to assess endoscopic IBD activity was evaluated using receiver operating characteristic (ROC) analyses.
Results
PLT/ALB ratio, PLT, ALB, and hs-CRP levels were correlated with Mayo scores in UC patients, while PCT, PLT, fibrinogen (FIB), PLT/ALB ratio, hs-CRP, and ESR levels were correlated with Simple Endoscopic Scores for CD (SES-CD) in CD patients. ROC analyses showed that the area under the curve (AUC) value for the PLT/ALB ratio (0.705) was greater than hs-CRP (0.607) and ESR (0.552) values in UC patients. The AUC value for PCT (0.779) was greater than hs-CRP (0.698) and ESR (0.746) values in CD patients.
Conclusion
PLT/ALB ratio and PCT biomarkers were the most appropriate of all tested inflammatory biomarkers for assessing endoscopic IBD activity in UC and CD patients, respectively.
Participation of Scheduled Caste Youth in achieving Sustainable Development Goals (SDGs) in Tamil Nadu: A Critical Analysis
Authors: Subramanian Lalitha , Roul Avilash , Natarajan Karpagam , Selvam Sona 
Published: May 2023

Abstract
For achieving the targets of the Sustainable Development Goals (SDGs) it is very much called for the meaningful participation of the youth. The young population in India is sizable, diversified, and affected by a wide range of problems. Due to their social status and caste rigidity, youth from Scheduled Castes (SC) are a vulnerable group. Despite numerous laws and programs, Tamil Nadu's programs designed for SC youth have a lower-than-average active participation rate. Their transition and social development are negatively impacted by poverty, unemployment, illiteracy, discrimination, and the lack of opportunities. Numerous empirical studies have examined at the status of SC in terms of their involvement in work and education, but none have yet studied at their involvement in accomplishing the SDGs. In relation to Goals 4 and 8, this paper examines how SC youth in Tamil Nadu participate in the SDGs. It then offers an inclusive strategy to increase SC youth participation in accomplishing the SDGs.
Polycaprolactone and acylated soy protein isolate to tune the features of brown seaweed biocomposites
Authors: Santana Ismael , Felix Manuel , Bengoechea Carlos 
Published: May 2023

Abstract
Invasive brown seaweed Rugulopteryx okamurae (RO) can be used as basis of biocomposites with different polymers, such as polycaprolactone (PCL) or acylated soy protein isolated (SPIa). The addition of PCL can strengthen the biocomposite and the elastic modulus (E') goes from ~ 110 MPa to ~ 250 MPa. Nevertheless, when SPIa is added, a softening takes place, leading to E’ values around 40 MPa. The addition of PCL or SPIa induces a greater deformability in the systems, with a maximum deformation (~ 2.25 or ~ 23%) for a 70/30 or 25/75 ratio, respectively. The presence of PCL reduces the absorption of water, while SPIa produces a substantial increase to the point of obtaining superabsorbent materials at a 25/75 ratio (~ 2450 wt.%). In conclusion, the adequacy of the seaweed materials for different applications can be modulated through the addition of an adequate filler.
Investigating years of life lost in Belgium, 2004– 2019: A comprehensive analysis using a probabilistic redistribution approach
Authors: Devleesschauwer Brecht , Scohy Aline , Pauw Robby , Gorasso Vanessa , Kongs Anne , Neirynck Elias , Verduyckt Peter , Wyper Grant M. A. , Borre Laura 
Published: May 2023

Abstract
Introduction
Information on years of life lost (YLL) due to premature mortality is instrumental to assess the fatal impact of disease and necessary for the calculation of Belgian disability-adjusted life years (DALYs). This study presents a novel method to reallocate causes of death data.
Materials and methods
Causes of death data are provided by Statistics Belgium (Statbel). First, the specific ICD-10 codes that define the underlying cause of death are mapped to the GBD cause list. Second, ill-defined deaths (IDDs) are redistributed to specific ICD-10 codes. A four-step probabilistic redistribution was developed to fit the Belgian context: redistribution using predefined ICD codes, redistribution using multiple causes of death data, internal redistribution, and redistribution to all causes. Finally, we used the GBD 2019 reference life table to calculate Standard Expected Years of Life Lost (SEYLL).
Results
In Belgium, between 2004 and 2019, IDDs increased from 31% to 34% of all deaths. The majority was redistributed using predefined ICD codes (14-15%), followed by the redistribution using multiple causes of death data (10–12%). The total number of SEYLL decreased from 1.83 to 1.73 million per year. In 2019, the top cause of SEYLL was lung cancer with a share of 8.5%, followed by ischemic heart disease (8.1%) and Alzheimer’s disease and other dementias (5.7%). All results are available in an online tool https://burden.sciensano.be/shiny/mortality2019/.
Conclusion
The redistribution process assigned a specific cause of death to all deaths in Belgium, making it possible to investigate the full mortality burden for the first time. A large number of estimates were produced to estimate SEYLL by age, sex, and region for a large number of causes of death and every year between 2004 and 2019. These estimates are important stepping stones for future investigations on Disability-Adjusted Life Years (DALYs) in Belgium.
In selective patients, chyme reinfusion via distal loop ileostomy reduced anastomotic leakage rate after excision of colonic fistula following severe acute pancreatitis
Authors: Chen Ke , Xu Xin , Zhao Risheng , Luo Shikun , Tian Weiliang , Yang Fan , Yao Zheng 
Published: May 2023

Abstract
Purpose
This study aimed to investigate effect of chyme reinfusion (CR) via distal loop ileostomy, in selective patients with pancreatitis cure, on the reduction of anastomotic leakage rate after excision of colonic fistula following severe acute pancreatitis (SAP)
Methods
From January 2009 to May 2021, patients who were suitable for CR via distal loop ileostomy and underwent excision of colonic fistula following SAP were considered to be eligible. Patients were selected and considered suitable for CR if the following conditions were met: (1) SAP cured; (2) no colon obstruction; (3) colonic fistula drainage tube was in place; and (4) no pus cavity was around the fistula and the sinus mature. Before 2014, CR was not used, whereas it was widely used after 2014 in selected patients. Patients were divided into the CR group and non-CR group according to whether CR was performed. The effect of CR on reduction of postoperative anastomotic leakage were then investigated.
Results
Eighty-five patients were enrolled in the study. There were 40 patients in the non-CR group and 45 patients in the CR group, with a total of 28 (32.9%) patients with anastomotic leakage. CR (OR = 0.48; 95% CI: 0.24–0.95; p = 0.036) reduced the incidence of anastomotic leakage. In addition, CR (HR = 0.51; 95% CI: 0.27–0.86, p = 0.012) was shown to reduce the incidence of postoperative ileus.
Conclusion
In selected patients with pancreatitis cure, CR via distal loop ileostomy for colonic fistula following SAP reduced the anastomotic leakage rate.
A diagnostic framework linking eddy flux ellipse with eddy-mean energy exchange
Authors: Yang Yi , Chen Ru , Flierl Glenn R. , Zhang Hong 
Published: May 2023

Abstract
The performance of non-eddy-resolving numerical models requires a good understanding, with appropriate representation, of eddy-mean flow feedbacks. To help improve our understanding of these feedbacks, we propose here a diagnostic framework \textcolor{black}{that links eddy geometry to the eddy-mean energy exchange terms from the Lorenz energy diagram}. In particular, this framework provides explicit mathematical formulas that link eddy-mean energy exchange rates with both mean state structure and the properties of eddy momentum/buoyancy ellipses. Complimenting previous works that interpret the mean flow shear cases (e.g., ${\partial \overline{u}}/{\partial y}$ and ${\partial \overline{u}}/{\partial z}$) using eddy geometry, this framework also gives a geometric interpretation of the horizontal normal strain component (e.g., ${\partial \overline{u}}/{\partial x}$) of eddy-mean kinetic energy exchange rates ($M_{K_E}$). To test this framework, we use the ECCO2 (Estimating the Circulation and Climate of the Ocean, phase 2) state estimate. In the ECCO2 state estimate, the horizontal normal strain component of the globally integrated $M_{K_E}$ has a magnitude comparable to that of the shear strain component. Regional application of this framework shows that the quasi-meridional orientation of eddy momentum ellipses in the downstream Kuroshio Extension is consistent with the dominance of the horizontal normal strain component of $M_{K_E}$ there. Our key findings \textcolor{black}{also hold} in a submesoscale-permitting model. This framework offers a tool for interpreting eddy-mean energy exchange and eddy ellipse patterns. It may also offer guidance for the parameterizations of eddy stress and eddy-mean flow feedbacks.
Quantitative Evaluation of Plants on the Top Surface of the Great Wall in Dazhuangke Using the Analytical Hierarchy Process——based on the protective repairs of the Great Wall
Authors: Pan Jianbin , Xu Nuo , Tang Yuyang , Cheng Meijing , Zhang Lin , Lan Jingwen 
Published: May 2023

Abstract
The Great Wall is a world-renowned cultural heritage site. The plants growing on top surface of the Great Wall endanger the safety of the Great Wall structure, but the process of removing them may further damage the body of the Great Wall. In this paper, based on Analytic Hierarchy Process and expert consultation, we selected 13 specific index from three constraint layer factors, and then estimated and identified 45 species/categories of plants on top surface of the Dazhuangke section of the Great Wall. The results show that the evaluation grade of the plants, and the factor of Disruptive Effects (Constraint layer) is the core element of the evaluation model, and the index of Impact on the near side wall and top surface of great wall (Standard Layer) plays the main guidance role in the evaluation system. This research provides scientific basis for the protection of cultural landscape of the Great Wall.