bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and Antibiogram Patterns of Pseudomonas aeruginosa Isolated from Two Wastewater Treatment Plants in Aden Governorate-Yemen
Authors: Al-Qashbari Wadhah Mohamed Hadi , Al-Baghdadi Mohamed Ali Ahmed 
Published: March 2024

Introduction: Pseudomonas aeruginosa is a gram-negative rod-shaped obligatorily aerobic bacterium. This bacterium is most frequently associated with human infections and is regarded as an opportunistic pathogen, primarily causing nosocomial infections in immunocompromised patients. P. aeruginosa as a waterborne pathogen is a growing concern to public health sectors. Many sources of environmental water as well as in other sources such as sewage treatment plants could potentially be acting as a reservoir for potentially pathogenic strains of P. aeruginosa. Therefore, the aim of this study was to determine the prevalence, antibiogram pattern and the multiple antibiotics resistant (MAR) of P. aeruginosa.
Methods: The study was designed as a cross-sectional study, conducted between September 2022 and February 2023. A total of 193 wastewater samples, (97/193) & (96/193) were obtained from two region AL-Magari and Kaputa wastewater treatment plants (WWTPs), respectively. The wastewater samples were serially diluted and cultured on enrichment medium, then cultured on cetrimide agar as a selective medium for P. aeruginosa. The isolates were identified primarily based on cultural characteristics and then by biochemical tests. A panel of 32 antibiotics were used to determine the susceptibility patterns and the MAR.
Results: The prevalence of P. aeruginosa was 33.7 % (65/193), while the statistical data revealed no a statistically significant difference between the prevalence of P. aeruginosa isolates from AL-Magari and Kaputa (P˃0.05). The study revealed the presence of antipseudomonal agents among the wastewater isolates of P. aeruginosa. Ciprofloxacin antibiotic has the highest activity against P. aeruginosa strains with the lowest resistant rate (7.7%), followed by Levofloxacin, Ofloxacin and Piperacillin/Tazobactam, (12.3%), (18.5%), and (20%), respectively. The MAR index ranged between 0.562 to 1.
Conclusion: The study demonstrated that MAR P. aeruginosa were quite prevalent in the wastewater effluents of WWTPs in Aden governorate-Yemen with no statistically significant difference in resistant pattern between wastewater isolates from AL-Magari and Kaputa region to the antibiotics used in this study (P˃0.05); and this can lead to serious health risk for community, and natural vegetation where plants grow.
Development of a self-care guideline to prevent rehospitalization in stroke patients: a modified Delphi study
Authors: Putra Komang Ardidhana Nugraha , Suyasa I Gede Putu Darma , Kamaryati Ni Putu , Dharmapatni Ni Wayan Kesari 
Published: March 2024

Introduction: Since 2007, the number of stroke cases in Indonesia has continued to increase. Stroke patients who have passed the acute phase of stroke still have a risk of recurrent stroke and rehospitalization. This study aimed to develop self-care guidelines to prevent the rehospitalization of stroke patients.
Methods: A three-round modified Delphi study was applied to a panel of 24 experts with different fields of expertise, consisting of doctors, nurses, families, and patients. In the first round, data were collected through a literature review and semi-structured interviews. In the second and third rounds, data were collected using a survey questionnaire on a 9-point Likert scale.
Results: The first round produced seven themes around self-care activities, including drug therapy, physical exercise, diet and nutrition, stress management, self-motivation, functional status screening, and control for risk factors. In the second round, all types of self-care in the first round were agreed upon for content in preparing the guidebook. The third round resulted in agreement on the guidebook that had been designed, with scores of 8 and above by 100% of the expert panel.
Conclusions: The development of a self-care guidebook to prevent rehospitalization of stroke patients through a three-round Delphi study has reached a consensus among the entire panel of experts. Further research by testing guidebooks in the healthcare system is needed to determine their effectiveness in preventing re-hospitalization in stroke patients.
The Use of Artificial Intelligence Technology in Enhancing Student Participation in Classroom Activities at the English Subject Teacher’s Association
Authors: Eka Chandra Noor , Mariani Nanik , Rosalina Elsa , Elyani Eka Puteri , Asrimawati Inayati Fitriyah , Anwar Muhammad Nuril , Nazmi Youma Fairu 
Published: March 2024

The development of various post-pandemic technologies has significantly changed teaching and learning activities. Through a brief interview between the head of the English Language Teachers’ Association in Banjar Regency and the head of the community service team, data was obtained that identified the issues faced by of the English Language Teachers’ Association members: 1) Teachers still lack information about various Artificial Intelligence (AI) technologies for English language teaching. 2) The teachers still lack information about free applications that can be used to support technology-based learning to increase student participation. Given the challenges faced by the partners, the goal of this community service was to provide secondary school teachers in South Kalimantan, especially in Banjar Regency, with insights into how AI plays a comprehensive role, as well as training in how to integrate various AI technologies to support the teaching and learning process. The implementation method offered for this activity included lectures, discussions, and collaborative learning with several stages, such as preparation, execution, and evaluation. The results of this training were as follows: 1) New experience for the teachers about AI-based support applications in the learning process. 2) How to integrate these applications into the classroom learning process. 3) Teachers successfully created their learning media using applications learned during the training. 4) Learning practices that integrated AI into the teaching process increased student motivation to learn English. The conclusion of this community service was that services could help the teacher in using technology, especially AI, to increase student participation in class.
Improved berry and wine quality of <i>Vitis vinifera</i> L. cv. Gewürztraminer grown in an arid climate using a Y-shaped training system
Authors: Zohar Yaara , Reta Kidanemaryam , Drori Elyashiv , Gliksman Udi , Rauchberger Shiki , Bar Einat , Lewinsohn Efraim , Agam Nurit , Fait Aaron 
Published: March 2024

Recent global climatic changes have highlighted viticulture in arid/semiarid regions as an increasingly relevant study model. Grapes in arid regions face excessive solar irradiance, leading to more than 50 °C berry surface temperatures in exposed berries. The resultant oxidative stress, sunburn necrosis, and browning consistently reduce berry quality. Adapting an adequate training system to the climate and cultivar is a simple and inexpensive method to control the radiation regime. This study compares the berry and wine characteristics and compositional components of desert-grown Vitis vinifera L. cv. Gewürztraminer, trained on either a Vertical Shoot Positioning (VSP) system or a Y-shaped training system (SAYM, Sistema di Allevamendo ad Ypsilon Integralmente Meccanizzabile), a method with a higher canopy light interception. The SAYM training reduced direct radiation and concomitant heat in the cluster zone and significantly alleviated oxidative stress in berries in the 2016/17 season. In addition, SAYM-grown berries were preferable in terms of quality and productivity. Correspondingly, a sensorial analysis rated SAYM wines higher than VSP wines in all categories. Photosynthetic pigment content in the berries' skin showed similarities between VSP and SAYM, and a volatile compound analysis of the wines by GC-MS revealed a higher ester content in the wines derived from SAYM vines, along with a higher content of compounds linked to Gewürztraminer wine typicity (varietal characteristics such as esters, terpenoids, and alcohols).
Longitudinal Policy Surveillance of Private Insurance Hearing Aid Mandates in the United States: 1997–2022
Authors: Arnold Michelle L. , Heslin Brianna J. , Dowdy Madison , Kershner Stacie P. , Phillips Serena , Lipton Brandy , Pesko Michael F. 
Published: March 2024

Objectives. To produce a database of private insurance hearing aid mandates in the United States and quantify the share of privately insured individuals covered by a mandate. Methods. We used health-related policy surveillance methods to create a database of private insurance hearing aid mandates through January 2023. We coded salient features of mandates and combined policy data with American Community Survey and Medicare Expenditure Panel Survey–Insurance Component data to estimate the share of privately insured US residents covered by a mandate from 2008 to 2022. Results. A total of 26 states and 1 territory had private insurance hearing aid mandates. We found variability for mandate exceptions, maximum age eligibility, allowable frequency of benefit use, and coverage amounts. Between 2008 and 2022 the proportion of privately insured youths (aged ≤ 18 years) living where there was a private insurance hearing aid mandate increased from 3.4% to 18.7% and the proportion of privately insured adults (19–64 years) increased from 0.3% to 4.6%. Conclusions. Hearing aid mandates cover a small share of US residents. Mandate exceptions in several states limit coverage, particularly for adults. Public Health Implications. A federal mandate would improve hearing aid access. States can also improve access by adopting exception-free mandates with limited utilization management and no age restrictions. ( Am J Public Health. 2024;114(4):407–414. https://doi.org/10.2105/AJPH.2023.307551 )
Machine learning electron-phonon interactions in 2D semiconducting materials: The case of zero-point renormalization
Authors: Haldar* Anubhab , Clark* Quentin , Zacharias Marios , Giustino Feliciano , Sharifzadeh Sahar 
Published: March 2024

Abstract
We utilize first-principles theory to investigate the role of electron-phonon interactions within a dataset of monolayer materials. Using density functional theory to describe excited state transitions and the special displacement method to describe the role of phonons, we analyze the relationship between simple physical observables and electron-phonon coupling strength. For over 100 materials, we compute the band gap renormalization due to zero-point vibrational (ZPR) motion as a measure of electron-phonon interactions and train a machine learning model based on physical parameters. We demonstrate that the strength of electron-phonon interactions is highly dependent on the band gap, dielectric constant, and degree of ionicity, all of which can be physically justified. We then apply this model to 1302 2D materials, predicting the ZPR, which for five randomly selected materials tested agree well with first-principles predictions. This work provides an approach for quantitatively predicting the ZPR as a measure of electron-phonon interactions in 2D materials.
Adaptive changes of farmers to the continued invasion of Senecio madagascariensis Poir. (fireweed) in pasture-based systems
Authors: Sindel Brian , Coleman Michael , Reeve Ian 
Published: March 2024

Abstract

Senecio madagascariensis Poir. (fireweed) is a rapidly invading poisonous weed of temperate and subtropical pastures across several continents and islands worldwide. While the geographic spread of pasture weeds, such as fireweed, can be relatively readily monitored, it is often farmer perceptions of weed impact that form the imperative for their management. In order to assess the types of adaptive changes that farmers may consider to the continued invasion of weeds in pasture-based systems, in 2011, we repeated a published 1985 farmer survey in fireweed-impacted regions in Australia to investigate: its continued spread; changes in the perceptions of its importance; and resulting changes in management. Fireweed had spread to new regions and was better established in previously lightly infested regions. It was less likely to be considered troubling by respondents when it was new on their farms, or had been present for an extended period. The effectiveness of a control method was only one of several factors driving adaptive changes in pasture weed management amongst survey respondents. Use of some approaches had declined alongside a perception that they were relatively ineffective, while the level of use of other reportedly successful techniques remained static, indicating major impediments to adoption. Weed invasions are by definition dynamic, and landholder perceptions of pasture weeds appear equally dynamic. As poisonous Senecio species spread around the world, the findings of this Australian research emphasise the need to understand how farmers adapt to weed invasion. Policymakers and landholders can benefit from such research for Senecio and other important weed species, by exploring the perceptions that may drive successful adaptive management of these species on-farm.
Study on a Soft Sensor for Coking Diagnosis Using Bayesian t-Distributed Mixed Regression Modeling
Authors: xia changhai , Peng Zhiping , Cui Delong , Li Qirui , sun lihui , He Jieguang , qiu jinbo 
Published: March 2024

Abstract
In the process of ethylene production by steam cracking, the coking diagnosis of the furnace tube of the cracking furnace is of great significance. Due to the existence of multimodal, nonlinear, non-Gaussian, and strong noise characteristics of the operating data of the cracking furnace, this paper proposes a soft sensor for coking diagnosis using bayesian t-distributed mixed regression modeling, which realizes the effective characterization of the multimodal, nonlinear, and non-Gaussian data through the hybrid model, and the model's parameter estimation is completed by the VBEM algorithm under the Bayesian framework to guarantee the anti-interference ability of the model. distribution to ensure the anti-interference ability of the model and the parameter estimation of the model is accomplished by the VBEM algorithm under the Bayesian framework. Finally, through simulation experiments and real industrial data experiments, as well as comparative analyses with PLSR, GMR, and GPR models, the model is verified to have good robustness, excellent prediction accuracy and robustness, which further confirms its potential application value in the diagnosis of furnace tube coking.
Extracellular vesicle derived miRNAs from plasma as promising diagnosis and prognosis biomarkers for neuroblastoma
Authors: Zhou Duo , Zhu Mengying , Wang Yilong , Hu Yuxiang , Peng Jinkai , Li Lingjie , Xiong Jieni , Tao Ting , Wang Jinhu , Zhao Zhengyan 
Published: March 2024

Abstract
Neuroblastoma (NB) is the most common extracranial solid tumor in children. NB patients with amplification of the MYCN oncogene usually associated with a high risk of recurrence and poor survival. The small extracellular vesicles (sEVs) have potential as novel appropriate noninvasive tumor biomarkers for diagnosis and prognosis. In this study, the differentially expressed microRNAs (DEMs) were determined in plasma-derived sEVs from 168 participants, including 24 children with NB (9 MYCN+ high-risk (HR) patients, 8 MYCN− HR patients and 7 MYCN− intermediate-risk or low-risk (IR/LR) patients) and also 10 healthy controls (HCs) in the discovery stage using miRNA-seq, 87 neuroblastoma children (28 MYCN+ HR patients, 33 MYCN− HR patients and 26 MYCN− IR/LR patients) and 47 HCs during the validation phase. Our results showed that miR-150-5p, miR-142-5p, miR-30b-5p, miR-320a-3p, miR-30b and miR-342-3p were significantly dysregulated in NB samples with the area under the curve (AUC) over 0.8. Additionally, the expression of miR-150-5p and miR-342-3p with the AUC of 0.738 was also significantly different between the MYCN+ group and MYCN− group. Functional analysis demonstrated the key mRNAs and signaling pathways involved in NB and MYCN amplification. In summary, our findings indicated plasma sEVs-derived miRNAs can be used as efficacy diagnosis and prognosis biomarkers in NB.
Comparative Study of Stability and Activity of Wild-Type and Mutant Human Carbonic Anhydrase II Enzymes Using Molecular Dynamics and Docking Simulations
Authors: Mapar Maryam , Taghdir Majid , Ranjbar Bijan 
Published: March 2024

Abstract
The human carbonic anhydrase II (HCA II) enzyme is a cytosolic protein located in the membrane of red blood cells. A zinc ion (Zn2+) in this enzyme makes it an excellent example of a metalloenzyme that reversible hydration of carbon dioxide (CO2). Considering the critical role of the HCA II, computational methods such as molecular docking, molecular dynamics (MD) simulation, and molecular mechanic/Poisen-Boltzman surface area (MMPBSA) analysis are used to study the structure and dynamics of the wild-type enzyme and the mutant enzyme with two ligands, CO2, and 4-nitrophenyl acetate. Our results of MD simulation of a wild-type enzyme with 4-nitrophenyl acetate ligand show that it created essential effects on the fluctuation of this enzyme and made it more unstable and less compact than the same enzyme without ligand. In the MD simulation of the mutant enzyme with 4-nitrophenyl acetate ligand, no significant difference is observed between this enzyme with and without ligand, but the solvent accessible surface area (SASA) measure of the mutant enzyme without ligand is higher. The affinity of the wild-type enzyme to the 4-nitrophenyl acetate ligand is notably higher than the mutant enzyme with the same ligand. The reason for this difference in stability is the mutation of Ala 65 to Leu (A65L). Furthermore, results showed that wild-type enzyme and mutant enzyme with CO2 ligand are more favorable in stability and flexibility than the same enzymes without ligand. These results can help in the engineering and design of new variants of carbonic anhydrase enzyme.
Effects of bread fortification with pomegranate peel powder on inflammation biomarkers, oxidative stress, and mood status in patients with type 2 diabetes: A randomized controlled trial
Authors: Zare Maryam , Tarrahi Mohammad Javad , Sadeghi Omid , Karimifar Mozhgan , Goli Amir Hossein , Amani Reza 
Published: March 2024

Abstract

Background and Aims: To assess the effects of bread fortified with pomegranate peel powder (PPP) on inflammation, oxidative stress, and mood indices in patients with type 2 diabetes mellitus (T2DM).
Methods and Results: In total, 90 T2DM patients were randomized to receive either bread fortified with 3.5% pomegranate peel powder (PPP) (n=45) or PPP-free bread during 12 weeks. Dietary intake throughout the trial was assessed using food records. Laboratory parameters including total antioxidant capacity (TAC), malondialdehyde (MDA), hs-CRP-reactive-protein (hs-CRP), and psychological disorders including depression, anxiety, and stress were assessed at the beginning and end of the study. Overall, 77 diabetic patients completed the trial (39 in the PPP group and 38 in the control group) and were included in the analysis. Based on the compliance assessment, adherence to the interventions was high in the trial. PPP bread intake led to a significant reduction in hs-CRP levels (change: -0.56 ± 1.29, P=0.01) and depression score (-1.33 ± 3.66, P=0.04)), in the intervention group. Other variables including MDA, TAC, anxiety, and stress, showed no significant changes for PPP-fortified bread.
Conclusion: Our findings showed that while intake of PPP-fortified bread for 12 weeks had no significant effect on oxidative stress, hs-CRP, and mental health in T2DM patients, there might be some positive outcomes regarding inflammatory and mood states.
Trial registration Iranian Registry of Clinical Trials: Trial was registered in the Iranian Registry of Clinical Trials (available at: www.irct.ir, with ID: IRCT20191209045672N1) on 21/09/2020.
Efficacy, drug sustainability, and safety of ustekinumab treatment in Crohn’s disease patients over three years
Authors: Barkai Laszlo Jozsef , Gonczi Lorant , Balogh Fruzsina , Angyal Dorottya , Farkas Klaudia , Farkas Bernadett , Molnar Tamas , Szamosi Tamas , Schafer Eszter , Golovics Petra A. , Juhasz Mark , Patai Arpad , Vincze Aron , Sarlos Patricia , Farkas Alexandra , Dubravcsik Zsolt , Toth Tamas G. , Szekely Hajnal , Miheller Pal , Lakatos Peter L. , Ilias Akos 
Published: March 2024

Abstract
Background: Long-term data on ustekinumab in real-life Crohn’s disease patients are still missing, though randomized controlled trials demonstrated it as a favorable therapeutic option.
Aims: We aimed to evaluate ustekinumab's clinical efficacy, drug sustainability, and safety in a prospective, nationwide, multicenter Crohn’s disease patient cohort with a three-year follow-up.
Methods: Crohn’s disease patients on ustekinumab treatment were consecutively enrolled from 9 Hungarian Inflammatory Bowel Disease centers between January 2019 and May 2020. Patient and disease characteristics, treatment history, clinical disease activity (Harvey Bradshaw Index (HBI)), biomarkers, and endoscopic activity (Simple Endoscopic Score for Crohn’s Disease (SES-CD)) were collected for three-years’ time.
Results: A total of 148 patients were included with an overall 48.9% of complex behavior of the Crohn’s disease and 97.2% of previous anti-TNF exposure. The pre-induction remission rates were 12.2% (HBI), and 5.1% (SES-CD). Clinical remission rates (HBI) were 52.2%, 55.6%, and 50.9%, whereas criteria of an endoscopic remission were fulfilled in 14.3%, 27.5%, and 35.3% of the subjects at the end of the first, second, and third year, respectively. Dose intensification was high with 84.0% of the patients on an 8-weekly and 29.9% on a 4-weekly regimen at the end of year 3. Drug sustainability was 76.9% during the follow-up period with no serious adverse events observed.
Conclusion: Ustekinumab in the long-term is an effective, sustainable, and safe therapeutic option for Crohn’s disease patients with severe disease phenotype and high previous anti-TNF biological failure, requiring frequent dose intensifications.
Effects of maturity status on the rate of torque development in young male soccer players
Authors: Pechina Mauricio Diniz Rocha , Vaz Marco Aurélio , Geremia Jeam Marcel , Diefenthaeler Fernando , Leites Gabriela Tomedi , Reischak-Oliveira Alvaro , Cunha Giovani dos Santos 
Published: March 2024

Abstract

Background: The rate of torque development (RTD) has been associated with sports performance and can be improved during the biological maturation process of young soccer players. The aim of this study was to compare the effects of maturity status on the knee extensors’ RTD of soccer players after appropriate normalization.
Methods: Twenty-seven young male soccer players aged 13-17 years old were allocated into two groups: pubescent (PUB, n = 11) and postpubescent (POSP, n = 16). RTD was obtained by performing one maximum voluntary isometric contraction at six different knee joint angles (30º, 45º, 60º, 75º, 90º, and 105º). Anthropometric (height and body mass) and muscle architecture variables (muscle thickness, muscle volume, fascicle length, pennation angle, and cross-section area) were evaluated as body size descriptors and used to identify the best way for appropriate normalization of RTD data.
Results: Muscle architecture variables showed no correlations with RTD (p>0.05), while body mass showed a positive correlation (0.405<0.680; p<0.05). Maturity status showed positive effects on absolute late RTD values (N·m·s-1) obtained at four different angles (60º, 75º, 90º, and 105º). However, maturity status showed no effects on RTD values after normalization by body mass (N·m·s-1·kg-1).
Conclusions: In conclusion, maturity status showed no positive effects on RTD values after appropriate normalization by body mass in young soccer players.