bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of mixed-use development, small businesses, and walkability on carbon emissions in cool climate cities
Authors: Zagow Maged 
Published: March 2023

Abstract
Cities in the United States (US) with a cool climate, such as Chicago and Boston, are experiencing a decrease in carbon emissions, possibly as a result of an emphasis on public transit and alternative energy sources. A dearth of dependable data on carbon emissions and urban comparison studies between metropolitan regions makes it difficult to support or refute ideal practices and policies. Thus, we evaluated the association between land use, walkability, socioeconomic characteristics, and carbon dioxide emissions at the level of the zip code. The current study analyzes the carbon footprints of four metropolitan locations in climatic zone 5 with a model of every US zip code in order to build a benchmarking prediction model for climate change in every US zip code. Our research indicates that in temperate climates, an increase in the number of enterprises within walking distance decreases CO2 emissions. This suggests that increasing the walkability of urban areas and renovating retail, art, entertainment, and leisure facilities in line with urban sustainability regulations can substantially reduce CO2 emissions.
Landslide susceptibility modeling derived from remote sensing, multi-criteria decision analysis, and GIS techniques: A case study in the Southeast Bohol Province, Philippines
Authors: Tubog Michael Vincent , Villahermosa Ryan Lester , Perong John Glenn 
Published: March 2023

Abstract
Several landslide hazard susceptibility mapping has been done in the Philippines to augment the need for vulnerability assessment. As a karstic region, the southeast Bohol province is accustomed to frequent landslide occurrences, causing hazard risks in adjacent communities. These landslides are generally controlled by both extrinsic (e.g., road network, fault) and intrinsic (e.g., geomorphologic and geologic) factors. Field observation denotes several occurrences along steep slopes and stream banks. However, the challenges in updating the landslide hazard susceptibility maps arose from the scarcity of updated field information. With data access limitations, this study aims to generate accurate and precise landslide susceptibility models using remote sensing and statistical-based analysis processed in Geographic Information System (GIS). This study uses open-sourced medium-resolution satellite data and digital elevation models to generate the 8 landslide factor maps. Analysis was done through Analytical Hierarchy Process (AHP) and Fuzzy Logic Overlay. The resulting landslide susceptibility models were validated using Forest-based Classification and Regression (FBCR), analysis of variance (ANOVA), and ordinary linear regression. The AHP-based model shows significant accuracy and compatibility with the actual susceptibility of the site since the p-value of the map is 0.031 in ANOVA, while the Fuzzy-based model cannot be considered accurate since it generated a 0.266 p-value result. Both models were validated in FBCR and resulted in a p-value of 2.2x10-16 in the ordinary linear regression, making both significant landslide prediction models. These results denote the accuracy and compatibility of the landslide susceptibility and prediction models, validating the efficiency of the process.
Medical Report Generation and Chatbot for COVID_19 Diagnosis Using Open-AI
Authors: Mehboob Fozia , Malik Khalid Mahmood , Saudagar Abdul Khader Jilani , Rauf Abdul , Jiang Richard , Khan Muhammad Badruddin , AlTameem Abdullah 
Published: March 2023

Abstract
The novel corona_virus (COVID_19) is an infectious disease have catastrophic impact on health and spread across the world. A crucial step in COVID-19 detection is to develop an automated and efficient classification system so that prompt treatment and medical care can be provided to the patients. However, most of the medical imaging systems just present the conditions of lung and scans are generated in large quantities that add a huge burdens to the workload of radiologists. Consequently, an intelligent system having capacity of lesions analysis in images and automatically creating a medical reports is of great significance for diagnosis of COVID_19. In this paper, we propose to use the fine tuned GPT3 and OPT350m models to automatically generate the medical text reports based on the segmented lesion regions of COVID_19 CT scan of patients. The proposed approach also provides the GPT3 based chat bot for the users to ask questions regarding COVID_19 identification. The custom trained chat bot responds to the user or practitioner queries based on the generated report by the fine tuned GPT3 and OPT model(350m). The experimental results showed that proposed models achieved beyond the state-of-the-art performances on medical report generation using COVID_19 CT scan data set. We conclude our research study by enumerating few future research directions in COVID_19 report generation.
The COVID-19 pandemic and house price convergence in Poland
Authors: Tomal Mateusz 
Published: March 2023

Abstract

The effect of the COVID-19 pandemic on price convergence in the housing market is largely unknown. This paper aims to assess the impact of the pandemic on the convergence of sales and rental housing prices. The residential markets in Polish voivodeship capitals were chosen as a case study. The convergence evaluation was based on a local linear version of the log t regression test, which allowed the estimation of a time-varying convergence speed parameter. The causal effect of the pandemic on convergence was examined using a Bayesian structural time series model. The study results revealed that the pandemic led to divergence in the primary sales housing market, growth convergence in the secondary sales housing market, and to a weakening of growth convergence in the rental housing market. Finally, this paper provides the R function logt that enables the running of the local linear and dummy variable log t regression tests.
JEL Codes: R20, R31, O47.
Construction of nursing intervention plan for patients with Parkinson's constipation combined with HAPA and nudge strategy: a Delphi study
Authors: Geng Wenyao , Ren Mengdie , Zhao Feng , Yang Fuguo , Liu Heng 
Published: March 2023

Abstract
Background:Constipation is one of the most common non-motor symptoms in PD patients, and non-motor symptoms, like constipation, can appear before motor symptoms. Incorrect treatment of constipation in PD patients can result in colonic volvulus and pseudo intestinal obstruction, as well as a reduction in the therapeutic effect of anti-Parkinson's disease drugs due to absorption issues There is, however, no comprehensive and scientific nursing intervention plan for PD patients who are constipated.
Methods: A multi-disciplinary nursing research group of five people was established to construct the first draft of intervention plan through literature review We chose 15 experts from 7 universities and tertiary hospitals in 5 provinces (cities), including 4 neurologists, 9 clinical nursing specialists in neurology, 1 dieticians, and 1 rehabilitators. Two rounds of consultations were held from April to July 2022 with 15 experts to screen and revise the indicators at each level, confirming their importance and feasibility at each level.
Results: There were three primary indicators (pre-intentional stage, intentional stage, and action stage) in the two rounds of expert correspondence, nine secondary indicators (disease risk perception, adverse consequence expectation, self-efficacy and intention of action; action plan, coping plan and coping self-efficacy; produce healthy behaviors, maintain healthy behaviors, recover behaviors and recover self-efficacy), and 22 tertiary indicators.
Conclusions: After the implementation of two rounds of Delphi method, the final formed constipation intervention program for PD patients provides the basis for clinical nursing practice, which has the characteristics of convenience, comprehensiveness, dependence, scientificity and feasibility. Therefore, it has application and promotion value.
Misdiagnosis of Scrotal and Retroperitoneal Lymphangioma in Children
Authors: Wu Wei , Mo Jiayu , Tan Kezhe , Chen Xingzhao , Xu WeiJue , Liu JiangBin , Lv Zhibao 
Published: March 2023

Abstract
Objective:Scrotal and retroperitoneal lymphangioma (SRL) in children is relatively rare, the clinical symptoms of which are usually difficult to distinguish from hydrocele, incarcerated inguinal oblique hernia, etc. The study aimed to explore the clinical diagnosis and treatment of abdominal scrotal lymphangioma in children, and thus to expand the understanding of this disease in clinical practice.
Method:Nine male children, aged from 1 to 10 years, that were admitted to Shanghai Children’s Hospital from January 2019 to December 2020 and finally confirmed as lymphangioma in the inguinal area, were recruited for the study. The clinical manifestations, diagnosis and treatment of these children were retrospectively analyzed. The time periods from onset to final diagnosis are in the ranged of 3 weeks to 20 months. We also reviewed the SRL cases which were misdiagnosed at first in published English literature from 2000 to 2022.
Results:The 9 cases were misdiagnosed as hydrocele, hematoma and inguinal hernia. 3 cases underwent intracystic injection of bleomycin, 3 had laparoscopic mass resection, and 3 received resection of inguinal lymphangioma under direct vision. Postoperative pathological analysis of the surgical specimen confirmed the diagnosis of benign cystic lesions and lymphangioma. We found a total of 14 SRL cases in published English literature, of which 8 were misdiagnosed .To be specific，6 cases were diagnosed as hydrocele ，1 as inguinal oblique hernia, and 1 as testicular tumor, all of which underwent ultrasonography scans. All cases were confirmed to be lymphangioma depend on the pathological examination.
Conclusion:The high similarity of clinical manifestations may contribute to the misdiagnosis of children with scrotal mass. The detailed and accurate medical history, careful physical examination, imaging are significant in the differential diagnosis of scrotal lump in children before surgery, and the final diagnosis is based on pathological examination.
Yield of Computed Tomography Perfusion in Stroke Management
Authors: Cviková Martina , Haršány Michal , Vinklárek Jan , Štefela Jakub , Fojtová Iva , Mikulík Robert 
Published: March 2023

Abstract
OBJECTIVES
The use of computed tomography perfusion (CTP) is not supported by guidelines unless to diagnose penumbra in extended time window treatment. The purpose of this study was to define the yield of CTP for stroke diagnosis beyond penumbra imaging in hyperacute phase (0-6 hours) and extented time window (6-24 hours).
MATERIALS AND METHODS
All consecutive patients with acute onset of symptoms within 24-hour window underwent CTP. The diagnostic value of CTP was calculated against radiological and clinical diagnosis of stroke. CTP was positive in presence of core or penumbra on RAPID. Radiological diagnoses were established as acute infarction on follow up imaging or symptomatic occlusion on baseline CT angiography. Clinical diagnoses were discharge diagnoses of stroke.
RESULTS
BetweenNov/2018-Nov/2019, 585 consecutive patients with acute neurological deficit were scanned with multimodal CT imaging, 500 (85%) were included: 274 (55%) within hyperacute phase, 153 (31%) had radiological diagnoses of stroke, and 122 (24%) clinical diagnoses of stroke. CTP was positive only in patients with confirmed stroke (positive predictive value and specificity 100%). When CTP was negative, 43% had a stroke mimic. Patients with stroke mimics were younger (66±17 vs. 73±13) and had lower National Institutes of Health Stroke Scale (median 0; IQR 0-2 vs median 4; IQR 2-6) compared to patients with CTP negative stroke.
CONCLUSIONs: Our study newly documents that CTP is useful beyond penumbra imaging: if CTP is positive than stroke diagnosis is established, which should prompt acute recanalization treatments. If CTP is negative physicians should consider stroke mimics.
Therapist competencies in the context of group-based exercise programs in medical rehabilitation - A qualitative study with patients and exercise therapists from Germany
Authors: Schuber André Arik , Gernert Madeleine , Schaller Andrea 
Published: March 2023

Abstract
Background: Group-based exercise programs account for nearly half of exercise therapy services provided in German medical rehabilitation facilities. However, information about necessary therapist competencies for the successful execution of these programs is sparse. Thus, the aim of this qualitative study was to explore relevant therapist competencies in the context of group-based exercise programs from the patients’ and therapists’ perspective.
Methods: Semi-structured interviews were conducted with five rehabilitation patients following a three-week inpatient orthopedic rehabilitation program as well as five exercise therapists with work experience in group-based exercise therapy. Data were analyzed using structuring content analysis according to Kuckartz.
Results: From 155 topic-related interview passages, four competency categories with 16 subcategories and respective characteristics were identified. In addition to professional expertise like biomedical knowledge, exercise therapists were expected to possess a multitude of didactic-methodological, personal, and social-communicative abilities.
Conclusion: Our results suggest that the psychosocial, behavioral and educational goals of group-based exercise programs necessitate a wide range of therapist competencies. These conform to the multidimensional nature of exercise therapy and should therefore be covered in vocational and continuing education.
Unraveling the Adaptive Chemical Traits of Rhamnidium elaeocarpum in Response to Fire and Environmental Factors in Pantanal Wetlands
Authors: Siqueira Camila Sório , Santos Vanessa Samúdio dos , Júnior Geraldo Alves Damasceno , Carollo Carlos Alexandre 
Published: March 2023

Abstract

We conducted a study on the effects of fire onRhamnidium elaeocarpum, a widely distributed woody species found in the Pantanal wetlands, using LC-MS metabolomics, total phenolic and tannin content analysis, and thermogravimetric behavior. We sampled individuals from four different groups and found that recent fires had no significant impact on the species' phenolic metabolism, except for those specimens whose aerial parts had died during the 2020 megafire, which showed a compound decline due to leaching. The high levels of phenolics inR. elaeocarpumsuggest that the species has a biochemical tolerance to the stress caused by seasonal fires. Metabolomic profiling revealed the presence of proanthocyanidin oligomers, which protect against oxidative stress and post-fire environmental disturbances. However, the passage of fire also led to a high incidence of toxic karwinaphthopyranone derivatives, which could be a concern for the species' medicinal use. Finally, the thermogravimetric analysis showed that the species is thermotolerant, with an intrinsic relationship between the secondary compounds and thermotolerance. Our study enhances our understanding of the impact of fire on woody species' metabolism, although distinguishing whether chemical traits are an adaptive feature or a response to surrounding environmental factors is challenging.
Characteristic dynamic functional connectivity during sevoflurane-induced general anesthesia
Authors: Miao Jingya , Tantawi Mohamed , Alizadeh Mahdi , Thalheimer Sara , Vedaei Faezeh , Romo Victor , Mohamed Feroze B. , Wu Chengyuan 
Published: March 2023

Abstract

General anesthesia (GA) during surgery is commonly maintained by inhalational sevoflurane. Previous resting state functional MRI (rs-fMRI) studies have demonstrated suppressed functional connectivity (FC) of the entire brain networks, especially the default mode networks, transitioning from the awake to GA condition. However, accuracy and reliability were limited by previous administration methods (e.g. face mask) and short rs-fMRI scans. Therefore, in this study, a clinical scenario of epilepsy patients undergoing laser interstitial thermal therapy (LITT) was leveraged to acquire 15 minutes of rs-fMRI while under general endotracheal anesthesia to maximize the accuracy of sevoflurane level. Nine recruited patients had fMRI acquired during awake and under GA, of which seven were included in both static and dynamic FC analyses. Group independent component analysis (ICA) and a sliding-window method followed by k-means clustering were applied to identify four dynamic brain states, which characterized subtypes of FC patterns. Our results showed that a low-FC brain state was characteristic of the GA condition as a single featuring state during the entire rs-fMRI session; while a highly synchronized brain state was characteristic of the awake condition, with frequent fluctuations between three brain states. In conclusion, our study revealed remarkable dynamic connectivity changes from awake to GA condition and demonstrated the advantages of dynamic FC analysis for future studies in the assessments of the effects of GA on brain functional activities.
Design of 3D animation color rendering system supported by cloud computing based on genetic algorithm
Authors: Ling Yan 
Published: March 2023

Abstract
The wireless network is composed of multiple micro network nodes that are difficult to replace. These network nodes are usually located in areas with poor environmental conditions, so the energy consumption and security of nodes have become the main limitations and challenges. Therefore, this paper discusses the network topology, data transmission and node trust mechanism, and proposes a cloud computing technology algorithm for intelligent regional wireless network. According to the data of arrival delay difference in intelligent regional wireless network environment, the approximate location of mobile system is set as different positioning results. The dynamic position of the mobile system is obtained through multiple calculations. With the support of cloud computing technology, this paper also studies the color rendering system of 3D animation. 3D animation can not only express emotions and feelings, but also color render through the facial expressions of characters in the animation, so as to enhance the entertainment and interest visible to the audience. However, due to the great demand for computing resources and color rendering resources, At present, the main research and implementation are carried out on the desktop platform. There are also solutions to use high-end infrared devices for 3D animation color rendering on the mobile system. However, because this method has high cost in use and does not have universality on the mobile device, this paper proposes a rendering system suitable for the general mobile platform. This paper studies the 3D animation color rendering system based on wireless network cloud computing technology, hoping to realize the universality of the system with the support of technology.
Taxol acts differently on different tubulin isotypes
Authors: Chew Yean Ming , Cross Robert 
Published: March 2023

Abstract
Taxol is a small molecule effector that allosterically locks tubulin into the microtubule lattice. We report that taxol has different effects on different single isotype microtubule lattices. Using in vitro reconstitution, we show that α1β4 human and zebrafish GDP-tubulin lattices are stabilised and expanded by taxol, whereas α1β3 human GDP-tubulin lattices require tenfold more taxol for stability and are not expanded. In kinesin motility assays, this isotype-specific mechanical action of taxol causes segmented isotype microtubules to deviate into loops, because the expanded β4 and compacted β3 segments try to glide at different rates. To explain, we propose that taxol switches GDP-microtubules into one of two different lattice-mechanical states, a compacted/slow-gliding state or an expanded/fast-gliding state, with switching to the expanded/fast-gliding state dependant on taxol occupancy and available to only some tubulin isotypes. In mixed isotype lattices, we find evidence that this lattice-mechanical switching occurs cooperatively.
Comparison of different risk scoring systems for predicting intravenous immunoglobulin resistance in Chinese children with Kawasaki disease
Authors: Zeng Yuanyuan , Chen Feng , Xu Kang-Kang , Ji Lian-Fu , Yang Shi-Wei 
Published: March 2023

Abstract
Objective: This study aims to evaluate the predictive efficacies of 6 established scoring systems for intravenous immunoglobulin (IVIG) resistance to Kawasaki disease (KD) in Chinese children.
Methods: We retrospectively analyzed KD patients treated at cardiovascular medical ward in our institution between January 2020 and December 2022. Data were analyzed in 6scoring systems (Egami, Formosa, Harada, Kobayashi, Lan and Yang).
Results: We recruited 763 KD patients in our study, including 60 IVIG-resistant cases (7.9%). Our study indicated that IVIG resistance KD patients represent a higher risk of developing coronary arterial lesions (CALs) (P < 0.001). In determining IVIG resistance, the sensitivity and specificity varied among scoring systems (Egami, 33.3% and 87.2%; Formosa, 91.7% and 42.0%; Harada, 76.7% and 42.8%; Kobayashi, 66.7% and 79.2%; Lan, 68.3% and 73.0%; Yang, 65.0% and 76.4%, respectively). Our study discovered that neutrophilic granulocyte percentage (NE%) ≥ 72.3% was an independent risk factor associated with IVIG resistance.
Conclusion: The Kobayashi, Lan and Yang scoring systems were shown to be appropriate for determining IVIG resistance in Chinese KD patients. Meanwhile, more consideration should be considered for KD patients with high NE% to reduce IVIG resistance.
Assessing Immunization Data Quality in Sunyani West Municipality to inform Sound Healthcare Decision-making
Authors: Adoma Prince Owusu , Kumassah Sosu-Elorm , Abubakari Yakubu , Baidoo Michael Afari , Agyemang Edward , Hanson Ruby 
Published: March 2023

Abstract
Objective
Data quality is critical in ensuring sound healthcare decision making and service delivery. Data quality provided at all levels of health care enhances accurate and timely information for effective and efficient health service delivery decision making. The study sought to assess the Sunyani West Municipality’s Expanded Programme on Immunization (EPI) data quality on measles vaccinations.
Method
The study adopted a descriptive cross sectional design. It involved a structured observation of data from EPI tally books from five sub-municipal facilities to inform healthcare decision making. WHO Immunization Data Quality Self-Assessment Tool (DQS) was adopted to assess data quality. The DQS captured period was from January to December, 2018. Field data was entered into the DQS Toolbox to generate accuracy ratio (%) and discrepancy rate (%) figures.
Results
When capturing data into the tally books at the facility level, there were over ninety reported data, whereas data reported to the Municipal Health Information Management System (DHIMS2) was one hundred and fifty-one (151) under-reported data. Furthermore, data gathered from all the sub-municipal facilities showed that data accuracy ratio from the point of immunization to the facility was 97% and discrepancy rate of 3%. However, when reported to the Municipality, the accuracy ratio was found to be 105% with a discrepancy ratio of 5%.
Conclusion
Immunization data quality was generally good, however, there were insufficient and irregular on-site observation and weekly monitoring by facility heads. It is, therefore, important for Sunyani West Municipal Health Directorate to ensure regular monitoring and assessment of immunization data in sub-Municipalities so that errors encountered in capturing and reporting of data are rectified in order to harness the full potential of immunization data.