bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics and Perioperative Outcomes of Fracture in Elderly patients with Chronic Heart Failure: A Cross-Sectional Study
Authors: Zhang Yaqian , Fu Mingming , Guo Junfei , Zhao Yuqi , Wang Zhiqian , Hou Zhiyong 
Published: November 2022

Abstract
Purpose
The purpose is to observe the characteristics and perioperative outcomes of fracture in elderly adults with chronic heart failure (CHF).
Methods
We searched elderly patients (≥ 65 years) with CHF who developed fracture from January 2017 to February 2021. The gender, age, fracture types, electrocardiogram (ECG), laboratory results, comorbidities, complications, length of hospital stay and mortality of these patients were collected. Risk factors for perioperative cardiovascular disease (CVD) were identified.
Results
A total of 104 patients were brought into this study, including 65 female patients (62.5%) and 39 male patients (37.5%). The average age of these patients was 79.5 years old. In those 104 patients, 24 (23.1%) had HFrEF, 49 (47.1%) had HFmrEF, and 31 had HFpEF (29.8%). More than half of the patients had three or more comorbidities, and coronary artery disease was the most common comorbidity (60.6%). The incidence of perioperative CVD and non-cardiac complications was 59.6% and 95.1%, respectively. The mean length of hospital stay was 11.0 (7.0–19.0) days. The in-hospital mortality rate was 4.8%, and 1-year mortality rate was 19.2%. Arrhythmia (40%) was the most common perioperative CVD, and hypoalbuminemia (69.2%) was the most common non-cardiac complication. Multivariate analyses showed that age ≥ 80 years, comorbidities ≥ 3 and hip fracture were associated with increased rates of perioperative CVD.
Conclusion
Our results revealed elderly CHF patients with more comorbidities are prone to perioperative CVD after fracture, more comprehensive prevention and integrated management approaches will be required for these patients.
Functional insights from targeted imaging BACE1 : The first near-infrared fluorescent probe for Alzheimer's disease diagnosis
Authors: Bi Anyao , Wu Junyong , Huang Shuai , Li Yongjiang , Zheng Fan , Ding Jipeng , Dong Jie , Xiang Daxiong , Zeng Wenbin 
Published: November 2022

Abstract
Background
β-Secretase (BACE1) is the vital enzyme in the pathogenic processes of Alzheimer's disease (AD). However, the development of a powerful tool with sensitivity for BACE1 determination in vivo is a challenge.
Methods
A novel NIR fluorescent probe HBAE was synthetized from 2-hydroxy-3-methylbenzaldehyde and 2-amino-benzenethiol by 5 steps. The fluorescence mechanism in the ESIPT systems of HBAE probe was insighted with time-dependent density functional theory (TD-DFT) at the TDPBE0 level with the def2-TZVP approach. The corresponding docking between HBAE and BACE1 (PDB: 5I3Y) was performed through the ducking method by DOCK6.8. Then the BBB permeability of HBAE is verified by transwell orifice plate. 22-month-old male AD-model (5XFAD) mice and age-matched wild-type mice were employed to observe the brain kinetics by intravenous injection. Finally, Immunohistochemistry was performed on the AD brain section to reveal the levels of BACE1 in hippocampus and cortex areas and other regions in AD mice through the brain tissue slices by HBAE.
Results
The novel NIR fluorescent probe was successfully applied in imaging BACE1 in AD model mice. The capability of HBAE in reflecting different level of BACE1 was performed by the specific imaging of the hippocampus region.
Conclusions
We reported the first ESIPT near-infrared fluorescence probe for monitoring endogenous BACE1 in the AD live model mice, thus offering a versatile chemical tool for visualizing in the pathological processes of AD live brains. Remarkably, high resolution images showed the localization of red fluorescence stains in hippocampus of the AD brain. This study provides a promising way for functional insights from protein BACE1 in vivo.
Original study on mathematical models for analysis of cellulose water content from absorbance/wavenumber shifts in ATR FT-IR spectrum
Authors: Cichosz Stefan , Masek Anna , Dems-Rudnicka Katarzyna 
Published: November 2022

Abstract
The aim of this research was to evaluate the applicability of the attenuated total reflectance Fourier-transform infrared (ATR FT-IR) spectroscopy in the quantitative analysis of the moisture content in cellulose (from 0.5-11.0wt.%). Innovatively, this work describes the variations in both absorbance and wavenumber of 16 absorption bands plotted as a function of cellulose water amount measured with Karl-Fischer titration. Different regression models were investigated (simple linear, semilogarithmic, power) and the adjusted coefficient of determination (R2) was given for each calculation. While model exhibited R2>90%, the standard error of calibration (SEC) was presented and an external validation has been performed. Regarding the absorbance-water content relationship, data recorded for sixteen peaks was successfully fitted with linear functions exhibiting R2>90%. The highest value of R2=98.7% and standard error of prediction SEP=0.3wt.% have been assigned to the maximum from 3339-3327 cm-1 (-OH), proving ATR FT-IR usefulness in quantitative analysis.
A New Powder Spreading Process for Powder Bed Fusion Aluminum Alloy by One-way Reciprocating Tri-splint Blade
Authors: pan lu , Zhang Heng-hua , Zhang Mei , Zhang Chen-lin , Liu Tong , Wang Liang 
Published: November 2022

AbstractPowder Bed Fusion is a promising metal additive manufacturing technology based on layer by layer powder spreading, and particle uniformity has a great influence on the forming quality. By Discrete Element Method, the interaction and movement between particles were studied during powder spreading, including powder jamming, rebound, splash, eddy and empty powder area. Additionally, five kinds of powder spreading schemes were explored, and the new process of one-way reciprocating with tri-splint blade was designed to change the motion state of powder spreading from "blade pushing powder" to "blade holding powder". The results showed that by adjusting the spacing between the blade and the working platform, the optimized powder spreading process decreased the defects such as powder splash and empty powder, and achieve the uniform powder bed of aluminum alloy powder.
Action research as a tool for collecting private information from Spanish wineries for further architectural bioclimatic analysis: lessons from behind the scenes
Authors: Arredondo-Ruiz Fernando , Cañas Ignacio , Gómez-Villarino María Teresa 
Published: November 2022

Abstract
Geographically diagnosing the usage of sustainable bioclimatic architectural practices in wineries is most of the time complicated. This difficulty stems from the unavailability in the scientific literature of private documents, such as the actual full architectural plans and projects of constructed wineries. This article reflects on the action research process that supported and explored the learning process during a large-scale data gathering effort involving a research team, and a universe of more than 4800 wineries in the Spanish Geography. The whole process was part of a larger project whose acronym is Cowinergy, funded by the Spanish Ministry of Economy and Competitivity. Results highlight the importance of process facilitation in a value chain of learning, in order to create an environment in which the wineries felt at ease when collaborating with the research team. The facilitators designed the process to be iterative so the learning activities where consistently aligned with the needs of the overall project, thus ensuring practical relevance.
Sleep Quality and Mental Health among Asymptomatic COVID-19 Carriers from Fangcang Shelter Hospitals：The Moderating Role of Social Support
Authors: Zhu Qianqian , Xu Lulu , Chen Yexin , Shi Dake , Huang Hong , Cai Yong 
Published: November 2022

Abstract
Background
The coronavirus disease 2019 (COVID-19) pandemic rapidly occurred in Shanghai, China at the end of February 2022, which was not only attacking physical health, such as sleep problems, but also exacerbating mental health. This study aimed to determine the association between sleep quality and psychological distress in COVID-19 carriers in China and evaluate the moderating effects of perceived social support.
Methods
We conducted a cross-sectional study of 1283 asymptomatic COVID-19 carriers from Ruijin Jiahe Fangcang shelter hospitals in Shanghai, China. Participants had an average age of 39.64 years (SD = 11.14) and 59.6% of whom were male. They were assessed using the Chinese version of the Pittsburgh Sleep Quality Index (PSQI), the General Health Questionnaire (GHQ-12), and the Perceived Social Support Scale (PSSS) respectively. The Model Templates for PROCESS were used to examine the moderating effects of participants’ social support on the association.
Results
In total, 34.3% of participants presented with poor sleep quality (PSQI༞5); In addition, 41.1% patients showed bad mental health (GHQ༞3). Sleep quality was positively related to mental health (r = 0.30, p < 0.001) and social support (r = 0.08, p = 0.003). Social support was negatively related to mental health (r = -0.43, p < 0.001). Social support negatively moderated the association between sleep quality and mental health (β = 0.069, p < 0.01).
Conclusions
Social support may be beneficial to the improvement of mental health, especially for people in crisis (e.g., COVID-19 pandemic).
Competency profiles for Evidence-Informed Policymaking (EIPM): a rapid scoping review
Authors: Barreto Jorge Otávio Maia , Romão Davi Mamblona Marques , Setti Cecília , Machado Maria Lúcia Teixeira , Riera Rachel , Gomes Romeu , Silva Silvio Fernandes da 
Published: November 2022

Abstract
Background
Evidence-Informed Policymaking (EIPM) require a set of individual and organizational capabilities, articulated with background factors and needs. The identification of essential Knowledge, Skills and Attitudes for EIPM can support the formulation of competency profiles and their application in different contexts.
Purpose
To identify elements of competency (Knowledge, Skills and Attitudes) for EIPM, according to different professional profiles.
Methods
Rapid scoping review. A structured search was led, and later updated in two comprehensive repositories (BVSalud and PubMed). Review studies with different designs, published from 2010 onwards, without language restriction were included. Assessment of the methodological quality of the studies was not performed. A meta-aggregative narrative synthesis consolidated the findings.
Results
Ten reviews were included. Eight elements were categorized as Knowledge, 19 as Skills and 10 as Attitudes were identified, totaling 37 elements of competency. These elements were aggregated into four competency profiles (Researcher, Health Professional, Decision-maker and Citizen). The competency profiles included different sets of EIPM-related Knowledge, Skills and Attitudes.
Strengths and limitations
This study is innovative because it aggregates different profiles of competency and uses a practical perspective, favoring the application of its results in different contexts, to support EIPM. Methodological limitations are related to the shortcuts adopted in this review, especially as it does not include complementary searches of the grey literature and does not carry out, in duplicate, the stages of study selection and data extraction.
Final considerations: conclusions and implications of the findings
EIPMs require the development of individual and organizational capacities. This rapid scoping review contributes to the discussion on the institutionalization of EIPM in health systems. The competency profiles presented here can support discussions about the availability and need for capacity development in different contexts.
Study on the acute toxicity of trichlorfon and its breakdown product dichlorvos to goldfish (Carassius auratus) based on 1H NMR metabonomics
Authors: Meng Hui-Hui , Liu Wen-Ya , Zhao Wen-Long , Zheng Qi , Wang Junsong 
Published: November 2022

Abstract
Trichlorfon, one of the most widely used organophosphate insecticide, is used in aquaculture and agriculture against parasitic infestations, but it is extremely unstable and easily decomposed into dichlorvos (DDVP), increasing its toxicity by 8 times. The degradation pattern of trichlorfon in water was systematically studied by LC-MS/MS. The experiment was conducted to investigate the acute toxicity of trichlorfon and DDVP on goldfish using a 1H NMR based metabolic approach combined with serum biochemistry, histopathological inspection and correlation network analysis. The changes of metabolic profile indicated that trichlorfon and DDVP influenced several pathways including oxidative stress, protein synthesis, energy metabolism and nucleic acid metabolism. Plasma was collected and then the hematological indicators of MDA, SOD, ALT, AST BUN and CRE were measured. The histopathological alternations were observed by H&E staining, which showed the tubular epithelial cell swelling, cytoplasmic loosening in the kidney. This study verified the applicability and potential of metabonomics based on 1H NMR in pesticide environmental risk assessment, and provided a feasible method for the study of overall toxicity of pesticides in water environment.
Intelligent Manufacturing Execution Design of Gear Industry Based on Internet of Things Technology
Authors: Li Yang , Yang Fazhan , Zhang Xuefeng , Ren Fu’E , Chen Chengjun 
Published: November 2022

Abstract
In today's society, science and technology are developing rapidly. In the actual production industry, information technologies such as computers and the Internet occupy an important position. Nowadays, there is a lot of room for improvement in the convenience and diversity of management in many production locations and the degree of intelligence in the production process, which is difficult to meet the requirements of today's informatization and intelligence in the production industry. This paper studies the intelligent manufacturing execution design of the gear industry based on the Internet of Things technology, and proves that the production efficiency will be greatly improved after the integration of the Internet of Things technology into the gear manufacturing industry chain. For this research, a series of investigation experiments were conducted. First, the important position of the Internet of Things technology in today's information society and its practicability were fully analyzed, and then combined with the intelligent manufacturing of the gear industry, the analysis was carried out to illustrate its feasibility. Secondly, it analyzes the characteristics of gear manufacturing and considers the materials that it needs to select during manufacturing. In the application model of gear production under the Internet of Things technology, a multi-objective optimization mathematical model is used to calculate the energy efficiency of gear intelligent production. Smaller costs get greater benefits. In the experiment, the FM-700e digital micro hardness tester was used to test the gear hardness to analyze the product quality. At the same time, the error rate of the product when the Internet of Things system is added to the gear production and when the Internet of Things technology is not added, the result is After integrating the Internet of Things technology, the error rate of gear production is reduced by 1.45%, which greatly improves the production efficiency of gears and makes the gear industry more intelligent manufacturing.
Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection
Authors: Chauhan Alok Singh , Gupta Amit Kumar , Garg Ruchi Rani 
Published: November 2022

Abstract
The spinal curve that represents an abnormally rounded back is known as kyphosis, and it can be caused by stress, infectious disease, developmental abnormalities, genetic disease, and occasionally iatrogenic disease. Due to the fact that it provides technical explanations and a significant standard, the emergence of machine learning and deep learning has demonstrated that they can better characterize data. Machine Learning and Deep Learning are promising approaches that help in the prediction, diagnosing of sickness. Compared to conventional computing algorithms, deep learning algorithms are far more effective in disease detection and diagnosing. In this study, Random Forest (RF), K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Deep Neural Network (DNN) models are applied to detect the presence of kyphosis in youngsters supported medicine information and compared to point out the rise in the potency of predictions associated with kyphosis. Each classification algorithm that makes use of the hyperparameter tuning and control feature enhances the algorithms' overall prediction performance, which enhances the algorithms' overall performance. The potency of the planned models were enforced and checked over medical dataset utilized from Kaggle. Overall, the DNN model performed best among the wide range of different models and achieved maximum accuracy and other performance metrics scores derived from the stratified K-Fold cross-validation. It is advised that after a patient has completed a clinical procedure, the DNN model be trained to identify and forecast kyphosis disease.
Pupal productivity of larval habitats of Aedes aegypti in Msambweni, Kwale County, Kenya
Authors: Mwakutwaa Alawih S. , Ngugi Harun N. , Ndenga Bryson A. , Krystosik Amy , Ngari Moses , Abubakar Laila U. , Yonge Shadrack , Kitron Uriel , LaBeaud A. Desiree , Mutuku Francis Maluki 
Published: November 2022

Abstract
Accurate identification of larval habitats of Ae. aegypti is considered an essential step in targeted control; of this important vector of several arboviruses including dengue and chikungunya viruses. This study determined Ae. aegypti productivity in selected larval habitats in Msambweni, Kwale County, Kenya. All Ae. aegypti immatures in 83 representative larval habitats were counted daily for 30 consecutive days during a wet and a dry season. All pupae were removed and allowed to emerge in the laboratory. Of 664 larval habitats examined at baseline, 144 larval habitats (21.7%) were found to be infested with Aedes aegypti larvae. 71% of the pupae were collected from tires and pots combined, which together accounted for 17% of the habitats. During the 30-day daily pupal production studies, only a few of the habitats harbored pupae persistently. In the wet season, pupae were collected from 28% (23/83) of the larval habitats. In the dry season, only 12% (10/83) of the habitats were ever found with pupae during the 30-day sampling period, with three habitats (all drums) accounting for 80% (293/365) of all the pupae collected. The results of the multivariate models for the risk factors for pupal productivity showed that habitat type, placing of larval habitats in the backyard, larval habitats without purpose and rain water were significant predictors of larval habitat productivity during the wet season. Although the multivariate model for habitat type did converge, habitat type and large size larval habitats were the only significant predictors during the dry season. Drums, pots and tires were sources of more than 85% of Ae. aegypti pupae, reinforcing the ‘key containers concept’. Targeting these three types of habitats makes epidemiological sense, especially during the dry season.
Effectiveness of perioperative oral hygiene management using a cetylpyridinium chloride-, dipotassium glycyrrhizinate-, and tranexamic acid-based mouthwash: a randomized controlled clinical trial
Authors: Aijima Reona , Yamashita Yoshio 
Published: November 2022

Abstract
Background: The mouth is a breeding ground for bacteria, and the presence of foreign substances, such as stitches, splints, or skin flaps increases the risk of infection, potentially delaying healing or causing wound dehiscence. Perioperative oral management is thus essential.
Maxillomandibular fixation requires the jawbones to remain static. Mechanical cleaning is also carried out by brushing or with a water flosser to maintain the oral cavity in a hygienic state, but this cannot be considered sufficient.
Mouthwashes are used as a substitute for mechanical cleaning or in a supplementary role after such cleaning. In this study, the effectiveness of HABITPRO mouthwash, which contains cetylpyridinium chloride, dipotassium glycyrrhizinate, and tranexamic acid, was investigated in the specific environment created by maxillomandibular fixation.
Patients and Methods: A total of 55 patients who had undergone maxillomandibular fixation were randomly allocated to either a HABITPRO group (n = 29) or a placebo group (n = 26). To investigate their oral hygiene status, their plaque control record (PCR) was reviewed, and the caries-related bacterial counts, pH, acid buffering capacity, white blood cell count, and ammonia in saliva were measured.
Results: After the mouthwash had been used for approximately 2–3 weeks, the ammonia level in the HABITPRO group saliva decreased significantly compared with that of the placebo group. The PCR index also increased significantly in the placebo group compared with baseline, whereas it remained almost steady in the HABITPRO group.
Conclusions: Even with maxillomandibular fixation, continued gargling with this mouthwash may help maintain a better intraoral environment.
A Virtual Investigation of the Change in Arch Length from Leveling a Curve of Spee: A Pilot Study
Authors: Boyle Vincent , Andrade Ildeu , Ross Loring , Marshall Julie , Tremont Timothy 
Published: November 2022

Abstract
Background

Leveling a Curve of Spee (COS) is often a primary treatment intention in orthodontic and oral rehabilitation cases. It is a prevalent belief that additional arch length or “space” is always required to level a COS to avoid undesirable incisor proclination. The objective of the study was to evaluate changes in arch length from virtually leveling a COS and compare these virtual changes to estimated changes using several published formulas.

Methods

Sixteen pretreatment digital mandibular casts were randomly selected and imported to and evaluated using uDesign® software. COS of 1 mm (n = 4), 2mm (n = 6), 3mm (n = 4), and 4mm (n = 2) were identified. The AP distance from a midpoint between the central incisors perpendicular to a tangent contacting the distal surfaces of the second molars (D1) was calculated. Each arch was virtually leveled and the AP distance from the incisor midpoint to the second molar tangent (D2) was recalculated. The difference (+ or -) between D1 and D2 was multiplied by 2 to calculate total arch length changes. Virtual arch length changes were compared to changes calculated using several published formulas.

Results

Virtually calculated arch length changes for leveling were: 1mm COS (mean 0.43mm, SD +/-0.06, range 0.84mm; 2mm COS (mean 0.63mm, SD +/- 0.91, range 3.0 mm); 3mm COS (mean 1.43mm, SD +/- 0.15, range 2.02mm); and 4mm COS (mean 1.85mm, SD +/- 5.04, range 2.17mm). The mean difference between the virtual assessments and across all formula-based assessments was + 1.53mm with a range of 6.7 mm.

Conclusions

A virtual simulation of leveling demonstrated variation in arch length changes among COS of similar depth. Considerable differences were found in arch length changes between virtually leveled COS and changes estimated using published formulas.

Clinical Relevance

Virtual simulation of leveling a COS can give reliable information for both orthodontic and oral rehabilitation treatment planning.