bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Gap in the Unifying View Closed
Authors: Gofen Alexander 
Published: February 2023

Abstract
In 2009 a new theory in the Complex analysis, unifying the old concept of elementary functions with Ordinary Differential Equations (ODEs), Automatic Differentiation (AD), and analytic continuation, was presented [1]. In it, two competing definitions of the vector elementary vs. scalar (or stand-alone) elementary functions were introduced, so that the question about their equivalency immediately surfaced up. The gap in the Unifying View was the Conjecture, claiming that a system of m first-order explicit polynomial ODEs may be converted into one n-order rational ODE with a nonzero denominator at the given point. Also earlier, in 2007 the similar question emerged in connection with a new type of special points where the function is holomorphic, but its scalar elementariness is violated [2]. Such a function can satisfy no rational n-order ODE regular at this point. Is the similar statement true also for systems of rational ODEs? This question reduced to the same Conjecture, posed in both papers, remaining unsolved since 2008. Finally, in this paper the Conjecture is proved closing the gap in the Unifying View and finalizing this theory. The Conjecture was proved thanks to its reformulation into terms of algebra, and collaboration with algebraists George Bergman and Alexander Givental, exemplifying a case of a successful interdisciplinary synergy.
Mathematics Subject Classification. 34A09; 34A34; 34A12.
Robust output tracking, disturbance attenuation and synchronization for a class of Lur’e systems: a high-gain, fractional-order control approach
Authors: D'Alfonso Luigi , Fedele Giuseppe , Pugliese Paolo 
Published: February 2023

Abstract
This paper addresses the problem of output tracking and unknown disturbances attenuation for a class of nonlinear systems. The class consists of a forward path, containing a linear, time-invariant element, and a feedback path containing a sector-bounded nonlinearity. Under some hypotheses on the frequency response of the linear part of the plant, a high-gain fractional-order controller is proposed that guarantees the absolute stability of the system and the fulfilment of the requested performance. The proposed approach is then used to address the problem of output synchronization for chaotic systems.
Current clinical presentations of AIDS dementia in a tropical environment: study of twenty-six (26) observations in the Neurology department of the University Hospital of Conakry.
Authors: Touré¹ Mohamed Lamine , Sakadi² Foksouna , Keita⁵ Mamady Mory , Othon¹ Guelngar Carlos , Diallo¹ Souleymane M'bara , Baldé³ Thierno Hamidou , Kassa¹ Francois Dago , Diallo¹ Bademba , Hinima¹ Mandandi , Diallo¹ Mariama Boubacar , Aminou Sanny Yaya , Camara¹ Namory , Kadji¹ Juste Milman , Konaté⁴  , Cissé¹ Fodé Abass , Cissé¹ Amara 
Published: February 2023

Abstract
Introduction-In sub-Saharan Africa (SSA), the clinical and progressive diagnostic certainty of AIDS dementia is difficult to establish due to under-medicalization and delays in consultation and especially the diversity of etiologies of demented states. Material and methods: We carried out a retrospective study of 196 patients hospitalized for dementia syndrome between 2016 and 2021 in the neurology department of the University Hospital of Conakry. The criteria labeled in this study are those retained by the DSM-IV and the classification of the American Academy of Neurology (AAN) developed in accordance with the WHO. Results- The HIV etiology was retained in patients aged 44 to 67 (17 women and 19 men). The clinical picture is dominated by severe cognitive disorders, slowing of ideation, memory disorders, reduced motor skills associated with personality change. Neurological examination revealed dysphoric disorders in most patients, sphincter abnormalities in 13 cases and tremor of the labio-lingual region in 11 cases. The diagnosis was based on the positivity of the serological reactions with detection of HIV1 and 2 antibodies by the Elisa and Western Blot technique and the presence of CSF with a discreet hypercellularity. Magnetic resonance imaging contributed to the diagnosis by showing diffuse abnormalities of the white matter in the form of hypersignals on T2- or Flair-weighted sequences. Conclusion-This study shows a non-stereotype clinical picture of AIDS dementia requiring a differential diagnosis with other infectious dementias. These results are important for the therapeutic and prognostic discussion.
High-resolution mapping and evolution of steel stocks and waste in civil buildings: A case study of Changsha, China
Authors: Chen Youlliang , Gong Qu , Shi Yan , Deng Min 
Published: February 2023

Abstract
Systematic estimation of steel stocks and waste in urban areas and analysis of its historical evolution pattern is crucial for urban buildings steel recycling and environmental sustainability. However, it is a challenging task to collect big data from different sources and estimate accurately with high resolution. In this study, we proposed a novel hybrid approach (GMB model) to estimate building steel stocks and the annual waste rate through combining Geographic Information System, Material Flow Analysis, and Big Data Mining techniques. We estimated the civil-building steel stocks and amount of waste in Changsha urban area from 1985 to 2020 based on the GMB model, and analyzed the historical evolution pattern of steel stocks by using standard deviation ellipse and kernel density. The results showed that the cumulative steel stock in civil buildings grew from 0.66 million tons in 1985 to 8.26 million tons in 2020. The amount of waste increased by 2557 times. The spatiotemporal analysis showed variations in distribution of the steel stocks are mainly concentrated in the central city, indicating a "central-peripheral" distribution, with a southward trend in the standard deviation ellipse and a southeast-northwest direction in the center of gravity of the steel stocks. There is low-high and high-low spatial aggregation patterns. We also compared the experimental results with the observed data to determine the feasibility of the GMB model. Our study can promote the management of steel resources recycling and aid to achieve the green and low-carbon goals in sustainable development policies.
Detection of Exon 10 Mutation (rs6020) in Factor V Gene in Sudanese patients with Deep Vein Thrombosis
Authors: Bkheit Amel I. , Abdalla Abdalla M. , Elsayid Mohieldin , Altayeb Hisham N. , Alla Ahmed Bakheet Abd 
Published: February 2023

Abstract
Background:
Deep vein thrombosis (DVT), a subgroup of venous thromboembolism (VTE), is one of the leading causes of morbidity and mortality globally, accounting for 60,000-100,000 fatalities per year. It affects around 0.1 percent of the population each year. In Sudanese patients with DVT, this study looked for probable harmful single nucleotide polymorphisms in exon 10 of the factor V gene.
Method:
Thirty blood samples were obtained from previously diagnosed DVT patients at Omdurman teaching hospital throughout the period of 16 August to 25 October 2018, as part of a descriptive cross-sectional research in Khartoum state. Exon 10 was amplified by PCR using sequence-specific primers after DNA was extracted using the guanidine chloride procedure. The fifteen best bands' PCR products were sequenced in both directions (BGI Company). Bioinformatics techniques were used to examine the sequences (Finch TV, BLAST, and Codon Code alignment).
Result:
The presence of a missense mutation (rs6020) in the factor V Leiden gene was discovered in 40% (6/15) of the patients in this investigation. In five cases, this mutation was heterozygous, whereas in one patient, it was homozygous. In the other nine cases, no mutations were found.
Conclusion:
rs6020 is more prevalent in the Sudanese population than other types of mutations. rs6020 polymorphism has a strong association with deep vein thrombosis in the Sudanese population. Further investigation of this mutation amongst larger Sudanese population is required in order to support this finding as well as to understand its clinical significance.
Analysis of A SARIMA-XGBoost Model for Hand, Foot and Mouth Disease in Xinjiang, China
Authors: Man Haojie , Huang Hanting , Qin Zhuangyan , Li Zhiming 
Published: February 2023

Abstract
Hand, foot, and mouth disease (HFMD) is a common childhood illness. The incidence of HFMD has a pronounced seasonal tendency and is closely related to meteorological factors such as temperature, rainfall, and wind speed. A SARIMA model is used for seasonal trends, and an XGBoost algorithm is applied for the nonlinear effects of meteorological factors. In this paper, we propose a SARIMA-XGBoost combined model to improve the prediction accuracy of HFMD in 15 regions of Xinjiang, China. The geographical and temporal weight model is designed to analyze the influence of meteorological factors from temporal and spatial perspectives. The results show that the factors affecting the spread of HFMD vary among regions. Temperature and daylight significantly impact the transmission of the disease in most areas. Based on the verification experiment of forecasting, the SARIMA-XGBoost model is superior to other models in accuracy, especially in some areas with high incidence.
A Novel Energy-Efficient Adaptive Superframe Structure for OWC-Based Real-time Bio-Sensor Networks
Authors: Bhutani Monica , Lall Brejesh , Agrawal Monika 
Published: February 2023

Abstract
Biosensors are becoming more common in the health care industry, but battery life is a significant barrier to broader adoption. Another concern is that these sensors heavily rely on radio frequency technology, which is dangerous to the human body and the environment. This research presents an optical wireless communication (OWC) based battery-efficient adaptive superframe for real-time biosensors. To begin, OWC uses visible light for downlink and infrared for uplink, making it human-safe. Second, our retrofit technique makes sensor transmission delays and energy usage more efficient. Third, as we look into wearable sensors, we see that the one-of-a-kind continuous superframe structure saves energy and allows for emergency data handling via the deployment of an emergency beacon. Fourthly, we compare the simulation results to the IEEE 802.15.7 standard superframe timeline to evaluate the practicality of our suggested technique. Analytical expressions are formulated to predict and analyze end-to-end delays, average energy consumption, and savings. The results show a significant improvement in energy savings and delays without incurring any additional overheads.
Discrepancy of Unmet Needs on Contraception in Indonesia: Urban vs. Rural Area: A Cross-Sectional Study
Authors: Harzif Achmad Kemal , Wiweko Marsadhia Rafifa Amira , Moegandi Carissa Putri , Rizal Fadhel Aulia , Andyra Azizah Fitriayu , Wiweko Budi , Hestiantoro Andon 
Published: February 2023

Abstract
Indonesia Maternal Mortality Rate (MMR) 230 per 100,000 live births is considered one of the highest in Southeast Asia region. Contraception is an essential part of safe motherhood, yet most Indonesian doesn’t participate in family planning. Active use of contraception on fertile couples was 62.5%. Based on Indonesia 2017 DHS, 11% fertile women had insufficient contraception need. Unmet need for contraception might contribute to the burden of MMR. A cross-sectional study was conducted to analyse which factors contribute to the occurrence of unmet need for contraception in respect of urban and rural area. Data obtained from 2017 IDHS in two locations: Jakarta and Papua. A total 1,128 Jakarta and 458 Papua respondent were enrolled. Highest occurrence of unmet need occurred in high school education group. Television use was the only factor gave a significant impact (p = 0.019) for the occurrence of unmet need for contraception in Jakarta. Husband’s education level (p = 0.000), newspaper use (p = 0.017), radio use (p = 0.027), television ownership (p = 0.005), television use (p = 0.005), and cell-phone ownership (p = 0.000) have a significant impact for the occurrence of unmet need in Papua. Further analyses showed that television use in Jakarta and cell-phone ownership in Papua were indeed the most influential factor for unmet need.
Comparative study on landslide susceptibility of different evaluation units based on LightGBM-SHAP
Authors: An Xuelian , Sun Deliang , Wen Haijia , Gu Qingyu , Ding Yuekai 
Published: February 2023

Abstract
Landslide is a common natural disaster, which has a serious impact on human life, property safety and socioeconomic development. Landslide susceptibility zoning can predict the spatial distribution of landslide occurrence probability. Based on grid units, slope units and terrain units, this study explore the influence of different evaluation units on regional landslide susceptibility zoning. Taking Yunyang County as a case study, 15 influencing factors such as elevation, slope and curvature were selected to establish a geospatial database, and the light gradient boosting machine (LGBM) algorithm was used to const-ruct the landslide susceptibility model (LSM). The results show that the accuracy of LSM constructed by different evaluation units is diffe-rent. Among them, the LGBM model based on grid units has the highest accuracy, with an accuracy of 0.7589, F1-Score of 0.7453, and the area under curve (AUC) values in training data set and verification data set were 0.8998and 0.8099, respectively. In addition, SHaply Additive ExPlanation (SHAP) is used to explain the model. The global interpretation shows that elevation, distance from river and distance from road have great influence on landslide in the study area. Local interpretation found that elevation, distance from the river and distance from the road have a greater impact on Jiuxianping landslide. This study can provide scientific reference for LSM construction and disaster prevention.
Zonal receptor distributions maximize olfactory information
Authors: Sen Swati , Zwicker David 
Published: February 2023

Abstract
The olfactory sense measures the chemical composition of the environment using a diverse array of olfactory receptors. In vertebrates, the olfactory receptors reside in a mucus layer in the nasal cavity and can thus only detect odorants that are inhaled with the airflow and dissolved in mucus. These physical processes fundamentally affect how many odorant molecules contact the receptors. We hypothesize that the olfactory system works efficiently by optimizing the placement of receptors for maximal information transmission. Using a simplified model, we capture all relevant physical processes and show that odorant concentrations generally exhibit an exponential distribution. Combining this result with information theory, we further show that receptors separated into distinct spatial zones maximize the transmitted information. Our results are consistent with experimentally observed receptors zones and might help to improve artificial smell sensors.
Modeling potential risk areas of orthohantavirus transmission in northwestern Argentina using ecological niche approach
Authors: López Walter R. , Altamiranda-Saavedra Mariano , Kehl Sebastián D. , Ferro Ignacio , Bellomo Carla , Martínez Valeria P. , Simoy Mario I. , Gil José F. 
Published: February 2023

Abstract
Background
Hantavirus Pulmonary Syndrome (HPS) is a rodent-borne zoonosis in the Americas, with up to 50% mortality rates. In Argentina, the northwestern endemic area (NWA), presents half of the annually notified-HPS cases in the country, transmitted by at least three rodent species recognized as reservoirs of orthohantavirus. The potential distribution of reservoir species based on ecological niche models (ENM) can be a useful tool to establish risk areas for zoonotic diseases. Our main aim was to generate an orthohantavirus risk map transmission based on ENM of the reservoir species in NWA, compare this map with the distribution of HPS cases and explore the possible effect of climatic and environmental variables on the spatial variation of the infection risk.
Methods
Using reservoir geographic occurrence data, climatic/environmental variables and the maximum entropy method, we created models of potential geographic distribution for each reservoir in NWA. We explored the overlap of the HPS cases with the risk map and the deforestation distribution. Then, we calculated the human population at risk using a census radius layer and a comparison of the latitudinal variation of environmental variables with the distribution of HPS risk.
Results
We obtained a single best model for each reservoir. The temperature, rainfall and vegetation cover contributed the most to the models. In total, 945 HPS cases were recorded, of which 97,85% of them were in the highest risk areas. We estimated that 18% of the NWA population was at risk and 78% of the cases occurred less than 10 km from deforestation. The highest niche overlap was between Calomys fecundus and Oligoryzomys chacoensis.
Conclusions
We are advancing with the identification of potential risk areas for HPS transmission and environmental and climatic factors that determine the distribution of the reservoirs and orthohantavirus transmission in NWA. This can be used by public health authorities as a tool to generate preventive and control measures for HPS in NWA.
Machine learning-based prediction of septic shock in patients with obstructive pyelonephritis caused by ureteral stones
Authors: Min Kyungchan , Ha Yun-Sok , Chung Jae-Wook , Jang Gyuho , Noh Myung-giun , Ahn Hyeok , Lee Jun Nyung , Kim Hyun Tae , Yoo Eun Sang , Kwon Tae Gyun , Chun So Young , Park Hansoo , Kim Bum Soo 
Published: February 2023

Abstract
Obstructive acute pyelonephritis (OAPN) is a common condition that can rapidly become life-threatening. In particular, OAPN associated with ureteral stones (OAPN-US) should be treated by a diversion of the urinary tract. Notably, we focused on predicting septic shock, which can be highly fatal. Previous studies have suggested multiple variables for predicting septic shock, but most studies used the Sepsis-2 criteria, which were revised to the Sepsis-3 criteria in 2016. Furthermore, no studies have identified a confirmatory variable or proposed combination of multiple variables for the prediction of septic shock. This study aimed to determine the best combination of potential predictors of septic shock in patients with OAPN-US based on the Sepsis-3 criteria. Our approach was based on machine learning (ML) because previous studies have demonstrated high performance of ML and because it can easily identify the combined effects of multiple variables. We selected three variables from approximately 30 factors and compared five ML algorithms. Notably, the random forest algorithm demonstrated the best performance, with an area under the receiver operating curve of 0.9965 and accuracy of 0.9583. Among the selected factors, procalcitonin had the highest Gini importance score. To the best of our knowledge, this is the first study to use ML for the predication of septic shock. Excellent predictions were made after identifying the optimal combination of multiple predictors.
Prediction values of a novel prognostic index hypoproteinemia combined with contaminated wounds for wound dehiscence after abdominal surgery in neonates
Authors: Fu Maxian , chen yiyi , Li Jianhong , Zhang Xuan , Jiang Xuewu , Ou Wenhui , Chen Kaihong , Xiao Wenfeng , Xie Yao , Zhuang Yangmu , Yang Min , Shouxing Duan 
Published: February 2023

Abstract
Background
Abdominal Wound Dehiscence (AWD), occupying a large proportion of neonatal surgery is an essential complication of abdominal surgery, which can leads to severe consequences, including life-threatening. This study aims at exploring prediction value for AWD with potential joint factors of hypoproteinemia and incision type.
Method
The Cox proportional-hazards model (the Cox model) was applied to analyze clinical data came from 453 patients underwent neonatal laparotomy from June 2009 to June 2020. According to application of the random numbers, 453 cases were divided into two separate models randomly involving training set with 318 observations (70%) and validation set with 135 observations (30%), and then the models trained were validated based on the validation set. Investigation in the connection between hypoproteinemia, incision type, combined factors and AWD, were used for comparing those prediction values for AWD.
Results
With a median follow-up of 15 months, the incidence of neonatal AWD was 6.0% (27/453). Based on the univariate and multivariate Analysis using the Cox Regression Analysis, hypoproteinemia(HR = 7.005, P = 0.001) and joint factor༈HR = 6.901, P < 0.001༉were both the independent risk factors for neonatal AWD in training set. Meanwhile, hypoproteinemia and joint factor༈HR = 5.497, P = 0.045༉were both also the independent risk factors for neonatal AWD in validation models, which indicated that joint factor was the independent risk factor in both models. The summary ROC curve was estimated, and the area under the ROC curve (AUC) was calculated as a criterion for validating the models trained. The findings illustrated that AUC of joint prediction factor for AWD was higher than either that of hypoproteinemia༈0.759 vs. 0.638) or incision type factor ༈0.759 vs. 0.671༉singly.
Conclusion
The contribution of hypoproteinemia and incision type combined factor for predicting AWD is superior than that of them individually, resulting in a significant promotion in prediction efficiency and accuracy of predicting neonatal AWD.
Should Users Trust Their Android Devices? A Scoring System for Assessing Security and Privacy Risks of Pre-Installed Applications
Authors: Ozbay Abdullah , Bicakci Kemal 
Published: February 2023

Abstract
Android devices are equipped with many pre-installed applications which have the capability of tracking and monitoring users. Although applications coming pre-installed pose a great danger to user security and privacy, they have received little attention so far among researchers in the field. In this study, we collect a dataset comprising such applications and make it publicly available. Using this dataset, we analyze tracker SDKs, manifest files and the use of cloud services and report our results. We also conduct a user survey to understand concerns and perceptions of users. Last but not least, we present a risk scoring system which assigns scores for smart phones consolidating our findings based on carefully weighted criteria. With this scoring system, users could give their own trust decisions based on the available concise information about the security and privacy impacts of applications pre-installed on their Android devices.
Responses of Swiss bond yields and stock prices to ECB policy surprises
Authors: Hager Diego Manuel , Nitschka Thomas 
Published: February 2023

Abstract
We use event studies and local projections to analyse spillovers from European Central Bank (ECB) policy surprises to asset markets outside the euro area using Switzerland as a case study. Our results suggest that ECB policy surprises are more important for Swiss government bond yields than for Swiss stock prices. Decomposing bond yields into expected shortterm interest rates and the term premium reveals that both signalling and portfolio rebalancing effects explain the responses of bond yields of various maturities to surprises resulting from scheduled ECB policy decisions. The ECB’s forward guidance surprises have persistent effects on Swiss government bond yields.
JEL: E43, E52, G15