bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review Literatur melalui Publish or Perish pada Inovasi Pembelajaran Kimia SMA
Authors: Widyaningtyas Khotimah Nur , Khumairoh Siti , Iffah Hafidhoh Kamalatul , Saputra Mohammad Ardiyanto , Mulyanti Sri 
Published: July 2024

<p>Tujuan penelitian ini adalah untuk mengetahui kajian-kajian jurnal yang membahas tentang inovasi pembelajaran kimia. Metode penelitian menggunakan <em>review</em> studi literatur jurnal berbantuan aplikasi <em>Publish or Perish</em>. Teknik penelitian ini menggunakan metode modus atau berfokus pada data yang sering digunakan peneliti sebelumnya yang dijelaskan menggunakan penyajian tabel dan narasi secara kualitatif. Hasil penelitian menunjukkan bahwa publikasi jurnal inovasi pembelajaran kimia cenderung meningkat, terutama pada tahun 2022. Tingkatan akreditasi masih beragam, dan sebagian besar terindeks pada tingkatan Sinta 2 dan 3 serta Garuda. Jenis inovasi pembelajaran melibatkan media pembelajaran, metode pembelajaran, dan instrumen pembelajaran. Media pembelajaran menjadi fokus utama inovasi, diikuti oleh metode dan instrumen pembelajaran. Manfaat inovasi pembelajaran kimia mencakup relevansi dengan peningkatan produktivitas siswa dan guru, peningkatan minat dan motivasi belajar, pemahaman konsep yang lebih baik, pengembangan keterampilan praktis, kreativitas, dan kemampuan problem-solving.</p><div id="pip-toast"> </div>
Synovial Fluid Cutibacterium acnes Antigen Is Detected Among Shoulder Samples with High Inflammation and Early Culture Growth
Authors: Toler Krista O. , Paranjape Pearl R. , McLaren Alex , Deirmengian Carl 
Published: July 2024

Background:
An emerging paradigm suggests that positive Cutibacterium acnes shoulder cultures can result from either true infection or contamination, with true infections demonstrating a host inflammatory response and early culture growth. This clinical retrospective study examines the relationship between C. acnes antigen, C. acnes culture results, and inflammation.

Methods:
From January 2021 to July 2023, 1,365 periprosthetic synovial fluid samples from 347 institutions were tested for shoulder infection at a centralized clinical laboratory. A biomarker scoring system based on the 2018 International Consensus Meeting (ICM) definition was utilized to assign each sample an inflammation score. Associations between inflammation, culture results, and C. acnes antigen results were assessed utilizing cluster and correlation analyses.

Results:
Of 1,365 samples, 1,150 were culture-negative and 215 were culture-positive (94 C. acnes and 121 other organisms). Among the 94 C. acnes culture-positive samples, unsupervised clustering revealed 2 distinct sample clusters (silhouette coefficient, 0.83): a high-inflammation cluster (n = 67) and a low-inflammation cluster (n = 27). C. acnes antigen levels demonstrated moderate-strong positive correlation with inflammation (Spearman ρ, 0.60), with 166-fold higher levels of C. acnes antigen in high-inflammation samples (16.6 signal/cutoff [S/CO]) compared with low-inflammation samples (0.1 S/CO) (p < 0.0001). The days to C. acnes culture positivity demonstrated weak-inverse correlation with inflammation (Spearman ρ = −0.38), with 1.5-fold earlier growth among the 67 high-inflammation samples (6.7 compared with 10.4 days; p < 0.0001). Elevated C. acnes antigen was observed in only 4 (0.38%) of 1,050 low-inflammation culture-negative samples and in only 5 (4.9%) of 103 high-inflammation non-C. acnes-positive cultures. However, 19.0% of high-inflammation, culture-negative samples demonstrated elevated C. acnes antigen.

Conclusions:
Synovial fluid C. acnes antigen was detected among shoulder samples with high inflammation and early culture growth, supporting the emerging paradigm that these samples represent true infection. Future research should explore antigen testing to differentiate contamination from infection and to identify culture-negative C. acnes infections.

Level of Evidence:
Diagnostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Efficacy and Safety of Tibiotalocalcaneal Arthrodesis with Carbon Fiber Intramedullary Nail: A Unique Seven-Year Follow-up Case Report
Authors: Bernstein Marc , Scheinberg Mila , Sankey Turner , Shah Ashish 
Published: July 2024

Abstract

Although ankle arthritis is a relatively common diagnosis, few patients develop debilitating cases requiring surgical intervention. For certain cases, surgeons often perform a fibular osteotomy and tibiotalocalcaneal arthrodesis via an intramedullary nail. We present a unique case in which the patient received a carbon fiber intramedullary nail rather for persistent ankle pain, arthritis, and instability. The patient has seven years of radiographic and clinical follow-up, which is one of the longest follow-up intervals for this type of implant. This long-term follow-up case illustrates the efficacy and safety of the carbon fiber intramedullary implant and highlights the scarcity of literature on long-term clinical and radiographic outcomes following a tibiotalocalcaneal arthrodesis with a carbon fiber intramedullary nail. Additionally, it provides the impetus for more comprehensive long-term studies regarding carbon fiber implants in the future.
Iatrogenic Urinary Injuries in Colorectal Surgery: Outcomes and Risk Factors from a Nationwide Cohort
Authors: McClelland Paul H. , Liu Tianming , Johnson Ryan P. , Glenn Carter , Ozuner Gokhan 
Published: July 2024

Abstract

Background
Iatrogenic urinary injury (IUI) can lead to significant complications after colorectal surgery, especially when diagnosis is delayed. This study analyzes risk factors associated with IUI and delayed IUI among patients undergoing colorectal procedures.
Methods
Adults undergoing colorectal surgery between 2012 and 2021 were identified in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP®) database. Multivariable regression analysis was used to determine risk factors and outcomes associated with IUI and delayed IUI.
Results
Among 566,036 patients, 5,836 patients (1.0%) had IUI after colorectal surgery, of whom 236 (4.0%) had delayed IUI. Multiple preoperative risk factors for IUI and delayed IUI were identified, with disseminated cancer [aOR 1.4, 95% CI 1.2–1.5; p < 0.001] and diverticular disease [aOR 1.1, 95% CI 1.0-1.2; p = 0.009] correlated with IUI and increased body mass index [aOR 1.6, 95% CI 1.2–2.2; p = 0.003] and ascites [aOR 5.6, 95% CI 2.1–15.4; p = 0.001] associated with delayed IUI. Laparoscopic approach was associated with decreased risk of IUI [aOR 0.4, 95% CI 0.4–0.5; p < 0.001] and increased risk of delayed IUI [aOR 1.9, 95% CI 1.4–2.5; p < 0.001]. Both IUI and delayed IUI were associated with significant postoperative morbidity, with severe multiorgan complications seen in delayed IUI.
Conclusions
While IUI occurs infrequently in colorectal surgery, early intervention is essential to reduce complications. Patients with complex intraabdominal pathology are at increased risk of IUI, and patients with large body habitus undergoing laparoscopic procedures are at increased risk of delayed IUI.
Synthesis of Nanoporous Carbon from Ulva Lactuca Activated by Eggshell for CO2 Capture: A Novel Approach to Waste Valorization
Authors: MAMMADYAROVA Khadija , YILMAZ Müge Sarı 
Published: July 2024

Abstract

Facing the daunting challenge of climate change, driven by escalating greenhouse gas concentrations, our research introduces an innovative solution for CO2 capture. We explore a novel nanoporous carbon derived from Ulva Lactuca, activated with eggshell waste, spotlighting waste valorization in mitigating atmospheric CO2. Through a systematic methodology encompassing variable carbonization temperatures (700–900°C) and nitrogen flow rates (2–4 ml/min), complemented by a suite of characterization techniques, we unveil the synthesis of this pioneering adsorbent. Our study not only presents a novel, sustainable pathway for CO2 capture but also demonstrates superior performance, particularly with the NC800-4 sample, achieving a CO2 capture capacity of 1.40 mmol/g at 30°C, alongside demonstrating consistent adsorption efficiency over four successive adsorption/desorption cycles. This breakthrough underscores the potential of leveraging waste for environmental remediation, offering a dual solution to waste management and CCUS applications.
Evaluation of antimicrobial action of healing abutment before and after coating with nanoparticles impregnated with essential oil in type 2 diabetic mellitus- A randomized control trial
Authors: Chitlange Pooja , Sathe Seema 
Published: July 2024

Abstract

Background
Dental implants have been validated as a reliable and valid method of replacing lost teeth in recent years, with a principal success rate of roughly 94.6%. Dental implant therapy failures are frequently caused by inadequate stability or misfitting at the implant-abutment interface. In actuality, bacterial infiltration and inflammatory cells are brought on by a micro-gap at the interface between two-tier implants with variable fluid flow at this contact, which results in bone loss nearby. Chitosan is a naturally occurring, non-toxic, biodegradable polysaccharide that is generated from chitin. It is extensively utilized in medicine, particularly for implant coatings, drug transporters, and wound care. Cinnamon is known to include proanthocyanidins, which can disrupt biological processes, and cinnamaldehyde, which is extremely electronegative. The antibacterial qualities are mostly due to the contributions of both components.
The increasing number of failed implants is driving up demand for novel biomaterials that can reduce the risk of surgical site infections. Antibacterial techniques were considered in addition to nanotechnology in order to reduce the risk of infections around the implants, irrespective of surface science focused on enhancing the osseointegration process. Based on local drug delivery models, these methods necessitated specific surface modifications to effectively incorporate antibacterial agents on the surface and subsequently deliver them to the targeted anatomical areas upon implant placement.
Methods
A total of 36 patients will be chosen from the Prosthodontics outpatient departments at Sharad Pawar Dental College, DMIHER, Sawangi Meghe, Wardha.

Methodology

1. Patients will be screened and allocated to two groups: A healing abutment coated with and without nanoparticles in a randomized manner.
2. Saliva Bio Oral Swabs will be used to collect 1 mL of saliva from each patient in an unstimulated manner.
3. To assess the antibacterial activity of the healing abutment with or without coated with nanoparticles, the saliva sample will be sent to the Jawaharlal Nehru Medical College, DMIHER microbiology department.
Discussion
In order to prevent S. epidermidis biofilms from forming, R Magetsari et al. conducted a study in 2014 to examine the impact of covering chitosan and cinnamon oil as a bio-adhesive on the surfaces of stainless-steel orthopedic implants. This study showed that, at a minimum concentration of 1%, a combination of chitosan and cinnamon oil coating on the surface of stainless-steel orthopedic implants affects S. epidermidis biofilm formation.
Trial registration:
CTRI/2024/05/067110 registered on May 9, 2024.
Safety and feasibility of a rapid reversible induction strategy in anesthesia induction
Authors: Chi Xiaoying , Fan Yichen , Zhang Xiao , Qin Yi , Xiao Jie , Huang Zhenling , Su Diansan 
Published: July 2024

Abstract

Background
Unanticipated difficult airway during anesthesia induction, especially in the circumstance of cannot intubate, cannot ventilate, could be harmful to patients. Rapid reversal of patients to adequate spontaneous ventilation is a reasonable goal. We are committed to studying reversible induction strategies, which can be safe and feasible in the case of difficult airway during anesthesia induction, especially before intubation and ventilation failure.
Methods
High-flow oxygen inhalation (40 l·minute− 1) and FiO2 (100%) were administered preoperatively for five minutes. During anesthesia induction, target controlled infusion was performed with remifentanil 4 ng·ml− 1 and propofol 4 µg·ml− 1, and rocuronium 0.6 mg·kg− 1 was injected intravenously. Subsequently, the oxygen flow was adjusted to 60 l·minute− 1, with the patients’ jaws lifted after the patients had lost consciousness. A direct laryngoscope was used for laryngoscopy and grading. The tracheas of patients with Cormack–Lehane (CL) grade I–II were intubated directly. For the patients with CL grade III–IV, sugammadex (16 mg·kg− 1) was administered and TCI was stopped. Then conscious intubation was performed after the patients were fully awake. The primary outcome was the rate of reversion success within 15 minutes from induction.
Results
In total, 20 patients with CL grade 3–4 undergoing elective surgery needed reversion. The reversion success rate was 100%. The shortest time to reversion was 333 s, the longest was 900 s, and the median time was 455 s. During the whole procedure, no hypoxia occurred, and acceptable hypercapnia appeared.
Conclusions
The results of this study suggest that a rapid reversible induction strategy is safe and easy to perform. Prompt reversal to spontaneous ventilation should be an option for unanticipated difficult airway before cannot intubate, cannot ventilate occurs.
Trial registration
This study was registered on ClinicalTrials.gov (NCT04434963) on 17th June 2020.
Factors related to the quality of life in the elderly of Isfahan city
Authors: Ataei Fatemeh , Kheirabadi Gholamreza , Meracy Mohammadreza , Keshvari Mahrokh 
Published: July 2024

Abstract

Background:
The natural and physiological changes of psychological dimensions in old age and the lack of promotion of correct behaviours related to the quality of life cause negative consequences for the elderly. Considering the significant impact of the quality of life on the general health of the elderly, this study was conducted with the aim of investigating the factors related to the quality of life in the elderly of Isfahan city.
Materials and methods:
The current cross-sectional study was conducted in Isfahan city in 2022 and the data obtained from 460 elderly were analayzed. In the interview, an information collection form including demographic characteristics and Lipad quality of life questionnaire was completed and then the final conclusion was reported using Pearson's statistical tests and generalized linear model.
Results:
The results of this study showed that the relationship between demographic variables and quality of life and its dimensions in the elderly is significant (p-value˂0.05).
Conclusions:
Older age, female gender, lower level of education, lack of marital status and favorable employment can be predictors of low quality of life among the elderly.
Machine Learning-Based Approach for Predicting Ocean Surface Temperature
Authors: Mishra Jai Prakash , Sharda Shweta , Vyas Sandeep , Parashar Ritambhara , Sharma Yazusha 
Published: July 2024

Abstract

The sea surface temperature (SST) is an essential parameter for the investigation of sea and ocean ecosystems owing to its interaction with water quality, organisms, and hydrological events including floods and droughts. This is because the SST is a measure of how hot the water is at the surface of the ocean. SST forecasting is the technique for estimating future SST values, based on historical SST data, which is useful for analyzing and tracking changes in hydroclimatic variables. Most earlier studies have used complex neural network-based architectures for SST prediction. These models have low accuracy due to high variance. In this paper, a new approach based on Random Forest (RF) of machine learning has been proposed to predict the surface temperature of the global ocean using hydrographic sea surface parameters. The hydrographic datasets provided by California Cooperative Oceanic Fisheries Investigations (CalCOFI) are used in this research. The results indicated that STheta, Salnty, O2ml_L, O2Sat, and Oxy_µmol/Kg are useful parameters for predicting thermal information accurately. The suggested technique achieves an R2 score of 0.986 while having a Mean Absolute Error of 0.08°C, which is a significant improvement above the performance shown by the previous research.
Generative AI: A Case Study of ChatGPT’s Impact on University Students’ Learning Practices
Authors: Alnaim Norah 
Published: July 2024

Abstract

Recently, technology has been widely integrated across the educational landscape. Artificial Intelligence (AI) tools have become essential components of students' learning practices, requiring an examination of the impact of each tool. The aim of this study is to investigate the impact of ChatGPT tool on university students’ learning practices. A quantitative online survey was adopted using cross-sectional design to collect the data from university students at King Saud university and Imam Abdulrahman Bin Faisal university in Saudi Arabia. A total of 402 responses were finalised for data analysis at the end of five weeks after starting the survey. Out of 402 students, 293 have been using ChatGPT. ChatGPT services were mainly used for writing research papers (81.8%), essays (73.8%), and correcting grammar (43.3%). Positive effects included motivating, engaging, and improving skills and competencies of students and negative effects included academic dishonesty, limiting critical thinking and problem-solving skills among students. Significant differences were identified among male and female students on perceptions about motivating and engaging ability of ChatGPT (p < .05).Students should be trained to use ChatGPT ethically and universities should adopt alternative assessment practices.
Predicting Live Birth Outcomes Following Single Vitrified-Warmed Blastocyst Transfers in Infertile Couples with Advanced Paternal Age (&gt; 35 years)
Authors: Liu Lidan , Gan Qiuying , Qin Lang , Yang Yihua , Liu Bo , Li Mujun 
Published: July 2024

Abstract

This study aimed to develop and optimize machine-learning models to predict live birth outcomes following single vitrified-warmed blastocyst transfers (SVBT) in infertile couples with advanced paternal age (APA) over 35 years. A retrospective cohort study analyzed 1,044 SVBT cycles from two reproductive centers between June 2016 and December 2022. Data were split into training and validation sets in a 0.75:0.25 ratio, with fourteen clinically relevant variables selected for prediction. Ten machine-learning models were evaluated using 10-fold cross-validation, repeated three times. Among the cycles, 29.5% resulted in live births. Key predictors included trophectoderm, inner cell mass, maternal age at oocyte retrieval, blastocyst origin, total gonadotropin dose, endometrial thickness, number of oocytes retrieved, and maternal BMI. The extra trees and stacking models showed the highest performance with AUC and accuracy scores of 0.813 and 0.812, respectively, followed by the random forest model with an AUC and accuracy of 0.810. These models provide reliable tools for predicting live birth outcomes, highlighting the importance of multiple factors such as maternal age and embryo quality in couples with APA undergoing SVBT.
Multi-Scale Attention Patching Encoder Network: A Deployable Model for Continuous Estimation of Hand Kinematics from Surface Electromyographic Signals
Authors: Lin Chuang , Xiao Qiong , Zhao Penghui 
Published: July 2024

Abstract

Background Simultaneous and proportional control (SPC) based on surface electromyographic (sEMG) signals has emerged as a research hotspot in the field of human-machine interaction (HMI). However, existing continuous motion estimation methods suffer from issues such as low accuracy, poorly deployable performance, and limited motion diversity in predicting, which limits their applications in HMI. To overcome these problems, we propose a smooth Multi-scale Attention Patching Encoder Network (sMAPEN).
Methods The sMAPEN consists of three modules, the Multi-scale Attention Fusion (MAF) module, the Patching Encoder (PE) module, and a smoothing layer. The MAF module adaptively captures the local spatiotemporal features at multiple scales, the PE module acquires the global spatiotemporal features of sEMG, and the smoothing layer further improves prediction stability.
Results To evaluate the performance of the model, we conducted continuous estimation of 40 subjects performing over 40 different hand movements on the Ninapro DB2 dataset. The results show that the average Pearson correlation coefficient (CC), normalized root mean square error (NRMSE), coefficient of determination (R2), and smoothness (SMOOTH) of the sMAPEN model are 0.9082, 0.0646°, 0.8163, and -0.0017, respectively, which significantly outperforms that of the state-of-the-art methods in all metrics (p < 0.01). Furthermore, we tested the real-time performance of sMAPEN on the portable device, with a delay of only 97.93ms.
Conclusions Our model can predict up to 40 hand movements while achieving the highest predicting accuracy compared with other methods. Besides, the lightweight design strategy brings an improvement in inference speed, which enables the model to be deployed on wearable devices. All these promotions imply that sMAPEN holds great potential in HMI.
Study on the Relationship between Pericoronary Adipose Tissue and Coronary Artery Stenosis and Plaque Characteristics
Authors: Guan Xuchong , Chang Ya , Wang Le , Li Liu , Zheng Qihou , Wang Yu , Yang Zhiyu , Ma Guoping , Liu Gang , Zhan Yinge 
Published: July 2024

Abstract

Purpose:
Pericoronary adipose tissue (PCAT) attenuation is a non-invasive biomarker of coronary perivascular inflammation. This study aims to explore the relationship between pericoronary adipose tissue mean attenuation (PCATMA) and volume with the severity of coronary artery stenosis and plaque characteristics.
Methods
We conducted a retrospective study of 370 patients diagnosed with or suspected of coronary artery disease (CAD). We investigated differences in PCATMA and PCAT volume among different degrees of vessel stenosis. Receiver operating characteristic curve analysis was performed to assess the efficacy of PCATMA in predicting non-calcified plaques and severe vessel stenosis, determining the optimal cutoff values. Logistic regression analysis was utilized to study the impact of PCATMA on severe vessel stenosis and non-calcified plaques.
Results
Patients with more severe stenosis in the left circumflex artery (LCX) had higher PCATMA compared to those with milder stenosis. Vessels with non-calcified plaques exhibited higher PCATMA than those with calcified plaques (-79.3 ± 8.8 HU vs. -85.8 ± 8.8 HU, P < 0.001). Multivariate logistic regression analysis revealed that higher PCATMA specific to LAD, LCX, and RCA vessels was an independent risk factor for predicting non-calcified plaques. LCX-PCATMA ≥ -71.6 HU was an independent risk factor for predicting LCX stenosis ≥ 75% (OR = 2.465, 95% CI 1.387–4.382, P = 0.002) and ≥ 90% (OR = 2.821, 95% CI 1.422–5.596, P = 0.003).
Conclusions
Vessel-specific PCATMA serves as an independent predictor for the presence of non-calcified plaques, and LCX-PCATMA is an independent risk factor for predicting severe LCX stenosis.