bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expedited Triage for Outpatients Referred to Cardiology for Chest Pain: A Model to Improve Access
Authors: Klaybor Monica , Keck Carson , Lateef Azalfa , Weaver Taelor , Northup Amanda 
Published: August 2023

Abstract
Cardiovascular disease remains the leading cause of death in the US, especially in the veteran population. Prompt evaluation is crucial for clinical outcomes, but demand for services often exceeds the healthcare system’s capacity. The extended outpatient wait time for patients with chest pain prompted the development and implementation of a Chest Pain Consult at Ralph H Johnson VA Medical Center. A cardiology fellow reviews the consult and performs a phone interview with the patient within 48 hours of the referral. The fellow either refers the patient for further testing or discharges back to primary care. This retrospective cohort study compared access before and after the implementation of the expedited Chest Pain Consult. We analyzed 107 patients (52 pre- and 55 post-implementation). When comparing the pre- and post-implementation groups, we detected a statistically significant reduction in time intervals between referral to initial physician contact, non-invasive testing, and resolution. A decrease in the interval between referral and left heart catheterization was not statistically significant. Chest Pain Consults led to faster ischemic evaluation for veterans. The expedited Chest Pain Consult can be a model for other healthcare institutions to accelerate access for patients with symptoms of cardiovascular disease.
Peer-led safer supply and opioid agonist treatment medication distribution: a case study from rural British Columbia
Authors: Scow Marnie , McDougall Jenny , Slaunwhite Amanda , Palis Heather 
Published: August 2023

Abstract
Background: British Columbia (BC) has been facing a public health emergency of overdose since 2016, with rural regions of the province facing the highest rates of death. Peers (in this case, people with lived experience of substance use) are known to be effective patient navigators in health system and can play a role in connecting patients to care and reducing overdose risk.
Case Presentation: We outline a peer-led program focused on opioid agonist treatment and safe supply medication delivery at a clinic in rural BC that began in March 2020. The peer takes an Indigenous harm reduction approach and is focused on meeting the needs of the whole person. The peer has regular contact with approximately 50 clients and navigates medication delivery and appointments for approximately 10-15 people each day. Clients have been retained on the medication, and experienced improvement in other outcomes, including securing housing, employment and managing other health issues. The peer has established contact with clients since March 2020 to support engagement with health care and continuity of medication access. This program highlights the importance and value of peer-led work and need for further investments in peer-led programs to respond to the overdose crisis
Conclusions: This peer-led intervention is a promising approach to engaging people who remain disconnected from health services in care in a rural community. This model could be adapted to other settings to support patient contact with the health system and medication access and continuity, with the ultimate goal of reducing overdose risk.
Compost and vermicompost enhances the growth, uptake and quality of zucchini plants (cucurbita pepo l.) grown on sandy soils
Authors: Rekaby Saudi A. , Ghoneim Adel M. , Gebreel Mostafa , Ali Waleed , Yousef Ahmed F. 
Published: August 2023

Abstract

Producing of safe food from alkaline sandy soils under high rates of chemical fertilization is a serious concern in Egypt. Compost and vermicompost can improve soil fertility and crop production, but their application has not been well evaluated in zucchini (Cucurbita pepoL.) cultivation. This study aimed to determine the effects of compost and vermicompost on the yield, nutrient uptake of zucchini as well as on soil properties under field conditions. Four fertilization treatments, including a control without fertilization (CO), chemical fertilizer (CF), compost (CT), and vermicompost (VC) were arranged in a randomized complete block design with five replications. The results showed that CT and VC application significantly increased the yield of zucchini by 17 and 53%, respectively, in comparison with CF treatment. In addition, CT and VC treatments significantly increased the soil organic matter, soil availability of NPK compared with those in the CO and CF treatments. The application of the CT and VC amendments increased the N, P and K uptake significantly as compared to the CO and CF treatments. The highest values of N, P and K use efficiency were found in the CT treatment. The highly significant and positive correlation was found among different soil properties and zucchini traits. CT and VC are crucial for increasing productivity, improving fruit quality, and yield of zucchini fruit and can be used as an alternative to chemical fertilizers for zucchini cultivation.
Status and perspectives for rice irrigation in the Mediterranean Basin
Authors: Arbat Gerard , Gharsallah Olfa , Cufí Sílvia , de Cartagena Francesc Ramírez , Pinsach Jaume , Romani Marco , Mira Concepción , Lima Isabel P. , Gerardo Romeu , Gonçalves José M. , Nunes Manuel , Aboukheira Abdrabbo A. A. S. , Shebl Saad M. Metwaly , Enginsu Melih , Ünan Rasim , Rienzner Michele , Facchi Arianna 
Published: August 2023

Abstract
In the Mediterranean basin, rice is cultivated in approximately 1,000,000 hectares. The most important rice-producing countries in the region are Egypt, Italy, Türkiye and Spain. In all these areas, rice is traditionally cultivated under continuous flooding, requiring larger irrigation water volumes compared to non-ponded crops. In the framework of the MEDWATERICE project (https://www.medwaterice.org/), innovative irrigation methods to reduce irrigation water use and other rice environmental impacts were experimented and benchmarked to the traditional wet-seeding and continuous flooding (WFL) in seven case studies (CSs) representative of different rice agroecosystems in five Mediterranean countries. The most promising irrigation options for each CS were selected with the support of local Stake-Holder Panels, and tailored to site-specific conditions. Alternate wetting and drying (AWD), dry-seeding and delayed flooding (DFL), reduction of irrigation discharge input/output (WIR), hybrid irrigation (HYBRID), sprinkler irrigation (SPRINKLER), surface drip irrigation (DRIP) and subsurface drip irrigation (SDI) were investigated. Results suggest that AWD, DFL and WIR, which are flooding techniques rather simple to implement, might be sound alternatives to WFL leading to an increase in Water Productivity (WP) and safeguarding the yield production. Both SPRINKLER and HYBRID resulted in an increase in WP of about 50% while maintaining or increasing the yield. DRIP and SDI showed a great potential in reducing water use, increasing WP up to 260%; however, yield may sometimes be notably reduced. Nevertheless, for each technique and in particular for localized irrigation methods, site-specific conditions must be carefully evaluated to properly select, design and manage irrigation strategies.
Effect of Real-Time Audio Ventilation Feedback Device on Survival Rate and Outcomes of Patients with Out-of-Hospital Cardiac Arrest: Prospective randomized controlled study. [Address of organization]
Authors: Gu Ji Jae , Dong Lee Eun , Deok Jang Yun , Weon Kim Yang , Hun Kang Ji , Song Seo Yong , Sang Yoon Yoo , Kang Han 
Published: August 2023

Abstract
Background The purpose of this study was to conduct the effect of real-time audio ventilation feedback on the survival of out-of-hospital cardiac arrest(OHCA) patients during advanced cardiac life support(ACLS) performed by paramedics.Methods This study was a prospective randomized controlled study in Busan, South Korea from July 2022 to December 2022.The patients of this study were 121 aged 19 years or older who were transferred to the study institution excluding 91 patients who withholding CPR under doctor's direction and 'Do not resuscitation (DNR) state among 212 adult CA patients. OHCA patients were randomly assigned to compare clinical prognosis using a randomized a general manual defibrillator (NVF) group (N = 58) and a manual defibrillator with audio ventilation feedback (AVF) group (N = 63). To verify the primary outcome, the cerebral performance category (CPC), return of spontaneous consciousness(ROSC), 30 hours survival, and survival discharge were compared. And multivariate logistic regression was conducted to analyze the association of us between the audio-feedback manual defibrillator (AVF) and the ROSC of OCHA patients.Results This study analyzed 121 patients among 212 OCHA patients. The ROSC (AVF group: 32{26.4%} vs. NVF group: 21 {17.3%}), 24-hour survival (AVF group: 24 {19.8%} vs. NVF group: 11 {9.0%}), and survival discharge (AVF group: 12 {9.9%} vs. NVF group: 6 {4.9%}) were higher AVF group than NVF group. But, analyzed CPC scores in surviving patients between the two groups, there was no significant difference (AVF group:4.1 ± 1.23 vs. NVF group: 4.7 ± 1.23, p = 1.232). Multivariate logistic regression analysis showed that the use of AVF was associated with a higher ROSC (odds ratio {OR}, 0.46; 95% confidence interval {CI}, 0.23–0.73; P < 0.01) and higher survival at 30 hours (OR, 0.63; 95% CI, 0.41–0.98; p = 0.01).Conclusion The use of the audio ventilation feedback has been associated with a higher ROSC and higher survival at 30 hours after CA.
Develop a fresh water production method from atmosphere
Authors: Amin Sameh A. Salaheldein , Hassan Mohamed , Elaraby Hossam 
Published: August 2023

Abstract
Fresh water scarcity represents a major world challenges, in addition, the water consumption is increasing with population growth and evaporation due to global climate changes. Furthermore, seawater desalination is considerably cost, requires additional energy to extract it, and negatively affecting water quality. The modern technologies adopted deferent methods to extracting the fresh water from the atmosphere. This work aims to contribute in solving this scarcely fresh water problem through, condensing the humidity in the air and transform it to fresh water. The proposed system is integrated into three parts; mechanical, electrical, and water treatment with filtration unit. The mechanical system consists of a refrigerant cycle with a compressor capacity of 1.5 horse power. The electrical system is responsible of controlling the mechanical system through the Arduino Uno circuit and relay. The filtration system is used to remove sediments and contaminants from the harvest water. The water treatment unit is used to supply the filtered water with the required additives of minerals to transform the distilled water to fresh drinkable water. The system design takes the energy efficiency into account. The system behavior is analyzed, taking into account real climatic conditions of Egypt. Preliminary calculations show that the water extracted from air by condensation is ranged from (8.25 to 12) litters during six operational hours per day. The produced quantity of fresh water can be support the needs from three to four persons per day. The total saving of produced water from the proposed system compared with the price of water in the market is 80,416.8 L.E per year.
A Fast Image Matching Algorithm Based on Locality-sensitive Hashing
Authors: Song Zhijun , Li Wei , Song Yuping , Sun Jinhua , Zhuang Weiwei 
Published: August 2023

Abstract
The progress of Internet technology and the portability of mobile communication equipment have provided essential convenience for building an information society. Today, with networked and digital platforms as an important way of socializing, the information carrier is more based on images, videos, etc. The explosive growth of these multimedia data poses a huge challenge to efficient data storage and fast information retrieval. We design an algorithm combining Locality-sensitive Hashing (LSH) and Vision Transformer (ViT) to greatly improve the image matching rate and accuracy, and the algorithm is called ViT-LSH. The principle of LSH is to form the same hash value for points with similar distances in the data set. The results show that the LSH algorithm reduces space consumption and improves query processing efficiency compared with the other five schemes. Therefore, the LSH algorithm can help to quickly get the approximate nearest neighbor query results in a probabilistic manner, thereby ensuring the accuracy of the query results and the efficiency of time and space. The ViT divides the image into fixed-size image blocks ( Patch), uses Linear projection to project the Patch flatten to the specified dimension, gets the Tokens sequence, and adopts the sequence as the input of the feature to realize a new segmentation mode. The ViT does not employ down-sampling so that the image resolution is not reduced. The modeling of global information is a new semantic segmentation mode. The steps of ViT-LSH are as follows: first, preprocess the image, such as denoising, then segment the image, then extract features by ViT, and then reduce features' dimension. The LSH performs hash coding on the image features. After calculating the image's hash code, the image's similarity can be directly calculated by the Hamming distance, sorted according to the similarity, and the matching results are obtained. The experimental results exhibit that ViT-LSH can greatly enhance the efficiency and accuracy of image matching.
Study and Development of Image Caption Generation using Various Encoders for Different Image Categories
Authors: Namdev Anuja , Reddy S. R.N. 
Published: August 2023

Abstract
Images can act as the source of information or way of communication. Captioning an image by machines in a manner such that it conveys the true meaning is considered the most difficult task. It is indeed a process of deep analysis and most researched area. This paper presents a comparative analysis of different deep learning models such as Inception V3, Resnet50 and VGG16 based on a novel image captioning methodology applied on different picture categories. The hybrid approach is developed to get high BLEU score for each input images. The data set generation, implementation of hybrid approach, and the challenges along with the future work are discussed.
Scaling of electrical relaxation behaviour of polymer mediated spinel Zn Fe2O4
Authors: Chouhan Harsha , PANDA MAHESWAR 
Published: August 2023

Abstract
In this work, the synthesis of ZnFe2O4 (ZF) through mediation of different polymers e.g., Polyvinyl alcohol (PVA), Polyvinylpyrrolidone (PVP) and Polyethylene glycol (PEG) were studied. The structural, micro-structural, thermal and dielectric properties were investigated. Structural characterization, XRD through Rietveld refinement confirms its face centred cubic structure. The thermal analysis of ZF through TGA /DSC signified the stability of ZF. FTIR gave the confirmation regarding the functional group associated with ZF. The Dielectric measurements were carried out by varying the frequency from 20Hz to 2MHz, the dielectric constant decreases with increase in frequency & Tanδ shows highly decrement values. The scaling of relaxation behaviour have been rigorously analysed through Impedance, Modulus and Conductivity Spectroscopy in the temperature and frequency range of 30˚C-200˚C, 20Hz - 2MHz respectively. Scaling of parameters shows the temperature independent relaxation behaviour. Modulus spectra verified the KWW function to be prevailing in ZF as function of temperature/frequency. The AC conductivity behaviour is attributed to small polaron hopping & also satisfied with Jonscher’s universal power law. Same Activation energy of around 0.5eV is found from Arrhenius fitting of Impedance, modulus & conductivity variation as a function of temeperature. The non-coincidences of the Nyquist plot of the ZF induced through different polymers confirm the non-Debye relaxation and the distribution of relaxation times being dependent over the various temperature range of study.
An Efficient Technological based approach for the Organoleptic p arameter Evaluation of Traditional (Siddha) Medicine
Authors: FLORENCE J. REJULA , SUJAPRIYADHARSINI S. 
Published: August 2023

Abstract
This paper presents an effective organoleptic parameter evaluation technique to evaluate the churna (Siddha Medicine). The image processing and analysis techniques has been employed to identify the colour and size of the particles present in the churna. This proposed method of evaluation technique can be used as a data-fusion-based quality assurance method instead of existing manual evaluation methods. Most of the Siddha medications though effective, it is not standardized. So there is a need for standardization and evaluation techniques. Churnas are discriminated by classifying the colour values and particle sizes using machine learning techniques such as the Support Vector Machine (SVM) and Random Forest (RF) classifiers separately. The performance of the RF Classifier excels the SVM Classifier in churna identification with greater accuracy, sensitivity, specificity, precision and f1 score.
Alteration of Postural Stability after Cerebrospinal Fluid Tap Test in Patients with Idiopathic Normal Pressure Hydrocephalus
Authors: Park Eunhee , Lee Sanghyeon , Jung Tae-Du , Park Ki-Su , Lee Jong Taek , Kang Kyunghun 
Published: August 2023

Abstract
Background
In patients with idiopathic normal pressure hydrocephalus (iNPH), the characteristics of balance disturbance are less understood than those of gait. We examined the changes in postural stability after the cerebrospinal fluid tap test (CSFTT) during quiet standing. Furthermore, we explored the relationship between frontal lobe function and the amount of spontaneous body sway.
Methods
All patients with iNPH underwent CSFTT and were evaluated using a frontal assessment battery (FAB) and center of pressure (COP) using a force plate during quiet standing before and after CSFTT. After COP measurement, we calculated COP parameters using time and frequency domain analysis. We determined whether there were alterations of COP parameters before and after CSFTT and the relationship between FAB and COP parameters using SPSS.
Results
In total, 72 patients with iNPH were recruited, and 56 patients who positively responded to CSFTT were finally included. Following CSFTT, there were significantly improved COP parameters using time domain analysis (velocity of COP, vCOP, p = 0.002; root-mean-square of COP, p = 0.032; turn index, p = 0.017; torque, p = 0.003; base of support, BOS, p = 0.014) compared to before CSFTT. In COP parameters using frequency domain analysis after CSFTT, we observed decreased power spectral density (PSD) values in the anteroposterior (peak value, p = 0.049; average value, p = 0.030) and mediolateral (peak value, p = 0.003; average value, p = 0.028) directions at low-frequency oscillation, below 0.5 Hz. In addition, FAB scores were negatively correlated with the vCOP (r = − 0.359, p = 0.007), BOS (r = − 0.302, p = 0.025), and the peak PSD value (r = − 0.464, p = 0.002) and average PSD value (r = − 0.424, p = 0.004) in anteroposterior direction for iNPH patients, respectively.
Conclusions
In patients with iNPH who responded to CSFTT, spontaneous body sway during quiet standing improved after CSFTT. The increased spontaneous sway is associated with impaired frontal lobe function, which may be linked to postural control circuits in patients with iNPH.
Multiple Roles and Prognostic Significance of Kinesin Superfamily Members in Gastric Cancer
Authors: Zhong Qiangqiang , Cao Jiali , Hong Wenbo , Xiong Lina , Xiong Zhifan 
Published: August 2023

Abstract
In recent years, although there has been a decline in the incidence and mortality rates of gastric cancer, it continues to represent a substantial burden on both the human healthcare and society at large. The challenges in early diagnosis of gastric cancer are attributed to its invasive nature and the absence of specific biomarkers. Kinesin family members (KIFs) have emerged as crucial contributors to tumor development. In this research, we explore a dataset acquired from the TCGA to investigate the potential value of KIFs in gastric cancer (GC). Initially, we explored the mutational features of KIFs. Then, in order to clarify their putative biological roles, we selected KIFs that were differentially expressed and carried out GO functional annotation and KEGG pathway analysis. Utilizing Cox regression analysis, we carried out anticipating models relied on the signatures of four KIFs (KIF3C, KIF17, KIF24, and KIFC3). The results revealed that our risk score derived from these models acts as an independent prognostic variable for GC. Additionally, a nomogram was developed to evaluate the outlook of patients with GC. The observed association between the risk score and infiltration of immune cell indicates that the four KIFs signatures could have a crucial influence on the immune microenvironment of GC. To summarize, our investigation revealed the possible molecular pathways linked to KIFs in GC and constructed a predictive framework that shows potential in directing individualized therapy and prognostic evaluation for GC individuals.
Nicotine-based Interventions for Adult Smokers with Diabetes: A Systematic Review
Authors: Haseen Farhana , Rahman Nafis , Hossain As-Saba , Rana Sohel , Chowdhury Asif Moinur , Mahmud Hasna Heena , Coyle Joanne , Notley Sophie , Barnard Gabriel , McKeganey Neil 
Published: August 2023

Abstract
Purpose
Continuing to smoke or starting to smoke after a diagnosis of diabetes is associated with increased health complications, decreased treatment efficacy, and worse survival outcomes. However, the extent and effectiveness of smoking cessation services among patients with diabetes are poorly understood. Nicotine replacement is one of the available interventions to aid smokers in achieving smoking cessation. This systematic review aimed to provide comprehensive evidence on the effects of nicotine-based interventions to support smoking cessation in diabetic patients.
Methods
Electronic searches were carried out on the following databases: Medline, Embase, and Cochrane Library up to November 2022. Searches were supplemented by trial registries, references from identified studies, and review articles. Studies were included if nicotine was used to deliver a smoking cessation intervention and if the impact of the interventions was reported for diabetic patients. All articles were independently screened, selected, extracted, and assessed for quality. Narrative data synthesis was conducted due to heterogeneity.
Results
Sixteen studies reporting 12 trials met the inclusion criteria, including randomized controlled trials (n = 12), one cluster randomized trial, one non-randomized intervention trial, and two before-after design studies. Of the sixteen studies selected, eight studies exclusively assessed diabetic patients, and eight assessed patients with multiple comorbidities, in which diabetic patients were a subgroup of the total sample. Four studies reported interventions with nicotine that increased cessation rates significantly among the intervention group patients compared to the control group at six-month or twelve-month follow-ups. One trial reported a significant reduction in the self-reported number of cigarettes smoked/day in the intervention group compared to the control. Additionally, there was a trend toward positive changes in levels of biomarkers of glucose control and metabolic outcomes with the use of nicotine-based interventions.
Conclusion
Nicotine, with/without behavioral support, appears to increase smoking abstinence in those diagnosed with diabetes without making a significant negative clinical impact. However, data is limited to identifying the optimal form of nicotine or effective intervention for this population. Additionally, there is no evidence of efficacy in smoking cessation interventions with next-generation tobacco harm-reduction products among people with diabetes.