bluuebunny/crossref_metadata_2025_split huggingface dataset:
Workplace Stress and Performance Behavior among Private Sector School Teachers
Authors: Kiyani Abdur Rab Tariq , Fawad Sibtain , Amjid Muhammad 
Published: September 2023

Abstract
Employees working in many domains experience workplace stress and those related to academics are no exception in this regard. Workplace stress impacts the performance of teachers and the efficacy of a school. The study is led by the objective to examine the workplace stress and its relationship to the performance of teachers in terms of the behavioral outcomes of their job i.e., work involvement, employee efficiency and innovative behavior performing their job in private sector schools of district Karak, Khyber-Pakhtunkhwa (K-P), Pakistan. In order to reach this objective, quantitative survey questionnaire was employed in the study to collect data from 120 teachers as a sample from different private sector higher secondary level schools. Pearson’s correlation analysis and regression analysis was applied on the data collected to obtain the statistical results of the study. The data analysis results suggest a significant negative relationship between workplace stress and performance. Further, workplace stress has a negative association with work involvement, employee efficiency and innovative behavior respectively. Future studies may include examining the effects of workplace stress on employee citizenship behavior with larger sample size and broader jurisdictions not only limited to education but also other spheres of businesses for a vast generalization.
Enhancing entanglement and non-Markovianity in an optomechanical system via atom quasi-random walk motion
Authors: Mohammadi Mahmoud , Jami Safa , Nezhad Mehdi Khazaei 
Published: September 2023

Abstract
Optomechanical cavities are one of the most important systems for observing quantum phenomena. In this paper, we investigated the quantum aspect of an optomechanical system made up of a two-level atom under two laser pump stimulation. One of the laser pumps drives the optical cavity, known as a longitudinal pump, while the second laser was used to excite the atom inside the cavity, directly and called as transverse pump. We observe the quasi-random walk of atom inside the cavity. Next, entanglement evolution among the atomic states and the other parts of the system with the von Neumann entropy measure was investigated. The study was done for distinctive atomic states in a strong coupling regime between the atom and field of cavity. Also, we investigated the evidence for non-Markovian behavior with trace distance measure. Our results demonstrate that the random walk of the atom can offer assistance to us to upgrade the entanglement between the inside atom mode and the other parts of the system for a long time. Furthermore, adding atomic motion provides evidence for the non-Markovian treatment of the system at the initial time.
Knowledge mobilization between food industry and public health nutrition scientists: learnings from a case study
Authors: Bouthillier Marie Le , Veilleux Sophie , Loignon Jeanne , Turcotte Mylène , Trudel Laurélie , Provencher Véronique 
Published: September 2023

Abstract
Background:
Improving the nutritional quality of the food supply make the access to nutritious foods easier, which enhance food habits and population health. Yet, knowledge mobilization initiatives between public health nutrition researchers and food industries are often not well considered and understood. This study explored key elements to consider in order that researchers can better mobilize nutritional scientific knowledge with food industries to encourage nutritive improvement of food products.
Method:
A qualitative approach of a case study was selected to answer the research question, using semi-structured interviews as the data collection technique. Quebec baking industry actors were shown a mock-up of an online mobilization platform sharing the results of the Food Quality Observatory describing the nutritional quality of breads offered in Quebec, Canada. They were asked to think aloud while exploring the web platform and being interviewed. Two coders analyzed the data using an inductive approach, starting with individual open coding, and then joining their analyses and forming thematic categories.
Results:
The final data consisted of 10 semi-structured interviews conducted between October 2019 and August 2020 (average duration of 95 minutes). Codes were agglomerated into four main themes: the industries background, the knowledge mobilization initiative, the product-related matters stemming from the information shared and the industries’ feeling of motivation. Within each theme, sub-themes were highlighted and related to the industries’ motivation to improve their products’ nutritional quality level. Specific to the case studied, this research also specified key considerations for sodium and fiber changes in bread.
Conclusion:
Other steps beyond using simple language and a website format could be taken to better mobilize scientific knowledge with food industries, such as providing more consumer information, using an integrated knowledge mobilization approach with consideration of ethics, working with communication professionals, collaborating with food science experts, and providing resources to act on shared information. Legislation such as the front-of-pack regulations could accelerate the pace of collaboration between researchers and industry. Overall, establishing a prior relationship with industries could help to better understand the themes highlighted in this study.
Classification codes: Public Health, Public Private, Policy Making, Research Institutions, Use of Knowledge
After the Flood: How Presidential Disaster Declarations Affect Long-Term Well-Being and Recovery for Homeowners
Authors: Costa Rodrigo , Bolte Edward , Sharp Colleen , Bowers Corinne 
Published: September 2023

Abstract

In the US, Presidential Major Disaster Declarations are a key factor to determine the availability of federal grants and low interest to support housing recovery. Without a Presidential Declaration, uninsured, lower-income disaster-struck households may be forced into large amounts of debt to cover home repair costs. In the long term, paying off this debt reduces households' consumption, leading to a reduction in well-being. While these facts have been documented in the literature on past disasters, this study provides a methodology to evaluate how Presidential Disaster Declarations may influence socioeconomic inequality in future disasters. The methodology also incorporates the effects of climate change as a multiplier that exacerbates these inequalities. We present a case study using the city of East Palo Alto in California and demonstrate how Presidential Disaster Declarations affect the disaster outcomes under multiple flood hazard scenarios. Results show that the issuance of a Presidential Disaster Declaration can reduce long-term consumption losses for lower-income households by more than 30%, and greatly reduce the disparity in consumption loss between low-income and high-income households. It is also shown that a 20-year return period flood without a Presidential Disaster Declaration may lead to greater long-term losses than a 100-year return period flood accompanied by a Presidential Disaster Declaration. The results of this study can help advocate for criteria for the issuance of Presidential Disaster Declarations that yield more equitable outcomes for the impacted communities.
Association of Systemic Inflammatory Markers with Postoperative Arrhythmias in Esophageal Cancer: A Propensity Score Matching
Authors: Xiao Hongbi , Lv Xiaoxia , Zhou Siding , Ren Qinglin , Zhang Ziang , Wang Xiaolin 
Published: September 2023

Abstract
Background:
The severity and prognosis of an array of inflammatory diseases have been predicted using systemic inflammatory indices, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), derived neutrophil-to-lymphocyte ratio (dNLR), and systemic immune inflammation index (SII). This study sought to determine how preoperative systemic inflammatory indicators affected postoperative arrhythmia (PA) in esophageal cancer patients and whether they could be predicted.
Methods:
In a retrospective study, laboratory-related parameters were gathered and examined in 278 postoperative esophageal cancer patients (non-PA = 221, PA = 57). We established a 1:1(41:41) model following a propensity score matching (PSM) investigation of preoperative and intraoperative predictors of PA. The ability of inflammatory makers on the first post-esophagectomy day to distinguish PA from postoperative non-arrhythmia (non-PA) by receiver operating characteristic(ROC) analysis.
Results:
On the first post-esophagectomy day, there was a significant difference between non-PA and PA in the white blood cell and neutrophil. The growth in the white blood cells, neutrophils, and monocytes following surgery also differed significantly, and there was a greater difference between PA and non-PA in terms of NE%, NLR, dNLR, LMR, and SII. After PSM, on the first post-esophagectomy day, there was a considerable rise in neutrophils and WBC. The following variables were substantially different between non-PA and PA : NE%, NLR, PLR, LMR, and SII. On the first post-esophagectomy day, it was found that WBC, NE, NE%, NLR, dNLR, LMR, and SII had the AUC that were higher than 0.500 in terms of the ROC, with NLR and SII having the highest AUC (AUC = 0.661). The indicators were subjected to binary logistic regression analysis, which increased the indicators' predictive ability (AUC = 0.707, specificity = 0.507, and sensitivity = 0.877).
Conclusion:
On the first post-esophagectomy day, systemic inflammatory indicators were significantly correlated with both PA and non-PA, and high SII and NLR are reliable markers of PA.
TACE-HAIC combined with tislelizumab and lenvatinib compared to HAIC combined with tislelizumab and lenvatinib in the conversion efficacy of unresectable hepatocellular carcinoma
Authors: Wu Xinhua , Feng Xu , Qi Shiguai , Shi Zheng-rong 
Published: September 2023

Abstract
Objective
To evaluate whether transarterial chemoembolization combined with hepatic arterial infusion chemotherapy combined with tislelizumab and lenvatinib can improve the effect of conversion therapy.
Background
At present, the success rate of transformation therapy for unresectable hepatocellular carcinoma is low. There is an urgent need to develop better treatment options for these patients.
Methods
the data of 47 patients with unresectable hepatocellular carcinoma were analyzed, including TACE-HAIC combined with tislelizumab and lenvatinib group (n = 20) and HAIC combined with tislelizumab and lenvatinib group (n = 27). The effective rate, conversion rate and adverse events of the two groups were compared.
Results
there was no significant difference in the conversion rate, objective remission rate and disease control rate of TACE-HAIC combined with tislelizumab and lenvatinib in the treatment of unresectable hepatocellular carcinoma (HCC), but there was significant difference in the frequency of conversion therapy (P < 0.0001). TACE-HAIC combined with tislelizumab and lenvatinib significantly reduced the frequency of conversion therapy. In terms of safety, neither group experienced any grade 3–4 AE. TACE-HAIC combined with tislelizumab and lenvatinib group had significantly fewer complications in terms of leukopenia and thrombocytopenia compared to the HAIC combined with tislelizumab and lenvatinib group.
Conclusions
There was no significant difference in conversion rate, objective remission rate, disease control rate and progression-free survival time between TACE-HAIC combined with tislelizumab and lenvatinib in the treatment of patients with unresectable hepatocellular carcinoma compared with HAIC combined with tislelizumab and lenvatinib. However, it significantly reduces the number of conversion therapy, which may reduce the incidence of hematological related complications, which has a certain practicability.
Examining determinants of control of metabolic syndrome among older adults with NCDs receiving service at NCDs clinic plus: multilevel analysis.
Authors: Suapumee Nongnuch , Seeherunwong Acharaporn , Wanitkun Napaporn , Chansatitporn Natkamol 
Published: September 2023

Abstract

Background
Metabolic syndrome (MetS) in older adults with hypertension, diabetes, and hyperlipidemia increases the risks of cardiovascular diseases by 2.5 times and type 2 diabetes by five times. This study aimed to explain the multilevel relationships between health service system factors and individual-level factors influencing the control of MetS among older adults with NCDs receiving health care services at the NCD Clinic Plus of hospitals in 1 year.
Methods
This cross-sectional analytical study employed a systematic sampling method to have two groups of samples from 4 regions of Thailand: 1) 600 older adults having at least one diagnosis of hypertension, diabetes, and hyperlipidemia and receiving services at NCDs Clinic Plus and 2) 12 nurses in charging of the NCDs Clinic Plus at the hospitals providing services to these patient samples. Data were analyzed using multilevel logistic regression analysis.
Results
Only 24% of older adults with NCDs could control their MetS within one year. Receiving service from NCDs Clinic Plus at the hospitals providing complete MetS screening was significantly correlated with the MetS control (OR = 1.76, 95% CI [1.06, 2.92]). Older adults who were female and who had polypharmacy had a 66% (OR = .34, 95% CI [.22, .53]) and a 54% (OR = .46, 95% CI [.29 − .71]) reduction chance in MetS control. Older adults, who were ≥ 80 years old, labor-employed, healthy dietary patterns, and medication adherence increased chances of controlling MetS by 2.38 times (95% CI [1.12, 5.05]), 2.14 times (95% CI [1.03, 4.42]), 1.61 times (95% CI [1.06–2.46]), and 3.18 times (95% CI [1.51, 6.70]), respectively.
Conclusion
Health service provision at the NCD Clinic Plus should include MetS screening, polypharmacy assessment, dietary pattern assessment, and following-up on medication adherence every time older adults with NCDs come for the services. Especially to control the MetS in older adults with NCDs having high risks for MetS, the service should pay particular attention to those who are female, labor-employed, and take polypharmacy.
Green synthesis and characterization of Ruthenium oxide nanoparticles using Gunnera perpensa for potential anticancer activity against MCF7 cancer cells
Authors: Mfengwana Polo-Ma-Abiele Hildah 
Published: September 2023

Abstract
The use of green synthesis methods for RuONPs is gaining attention due to their eco-friendliness, cost-effectiveness, and availability. However, reports on the green synthesis and characterization of RuONPs are limited compared to other metal nanoparticles. The green synthesis and characterization of ruthenium oxide nanoparticles (RuONPs) using Gunnera perpensa leaves water extract as a reducing agent is reported in this study. The RuONPs were characterized using X-Ray diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Ultraviolet spectroscopy (UV-VIS). MTT assay was used to assess the cytotoxicity of the RuONPs against MCF7 and Vero cell lines. The characterization results revealed the presence of crystalline and amorphous forms of RuONPs, functional groups associated with G. perpensa leaves, and both spherical and rod-like structures. The cell culture results indicated a low anticancer efficacy of RuONPs against MCF7 and Vero cell lines, suggesting that RuONPs may not be a good lead for anti-cancer drugs. This study highlights the potential of using green synthesis methods to produce RuONPs and their characterization, as well as their cytotoxicity against cancer cells.
Facile synthesis and characterization of chitosan nanoparticles from Archachatina marginata shell as potential solution to antimicrobial resistance
Authors: Atanda Saburi Abimbola , Shaibu Olarewaju Rafiu , Agunbiade Foluso Oyedotun , Arotiba Omotayo 
Published: September 2023

Abstract

The growing resistance to existing antimicrobial formulations poses a great concern for global public health and demand development of alternatives. Chitosan was synthesized from Archachatina marginata shell and characterized using Fourier Transform Infra-Red (FTIR), X-Ray Diffractometry (XRD), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), Energy Dispersive X Ray Fluorescence (EDXRF) and Energy Dispersive X Ray Spectroscopy (EDS) and its antibacterial activity assessed against Staphlococcus aureus(-haemolytic and clinical strain), Staphylococcus saprophyticus DSM 18669, Escherichia coli 0157, Klebsiella pneumonia EO1 16S ribosomal RNA gene, and Salmonella typhi ATCC 13311. FTIR revealed hydroxyl, carbonyl and amide as the main functional groups. XRD identified crystalline features while SEM images indicated grainy surface with clustering of uneven particles with TEM images showed polygonal particles, rod-like structures and spherical voids on the surface with diameters ranging from 5.80 to 31.05 nm. EDXRF and EDS indicated calcium, carbon, and oxygen as main elements. Chitosan produced highest inhibition zone of 39 mm against Staphylococcus saprophyticus DSM while there was no effect on Salmonella typhi ATCC 1331 and Minimum inhibitory concentration was between 0.0781 and 0.3125 mg/mL for tested strains. Chitosan antibacterial activity compared favourably to Levofloxacin, a synthetic drug as a benchmark. This suggests that chitosan from Archachatina marginata shell is a potential antibacterial agent for multiple applications.
Deep Learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms
Authors: Matsulevits Anna , Coupe Pierrick , Nguyen Huy-Dung , Talozzi Lia , Foulon Chris , Nachev Parashkev , Corbetta Maurizio , Tourdias Thomas , de Schotten Michel Thiebaut 
Published: September 2023

Abstract
Deep learning as a truly transformative force is revolutionizing a wide range of fields, making a significant difference in medical imaging, where recent advancements have yielded some truly remarkable outcomes. In a connected brain, maps of white matter damage — otherwise known as disconnectomes — are essential for capturing the effects of focal lesions. However, the current tools for obtaining such information are prohibitively slow and not admitted for clinical usage. Here, we have explored the potential of deep-learning models to accurately generate disconnectomes in a population of stroke survivors.
We trained a 3D U-Net algorithm to produce deep-disconnectomesfrom binary lesion masks. This artificial neural network was able to capture most information obtained in conventional disconnectomes, i.e., statistical maps filtering normative white-matter networks, but output a deep-disconnectome 170 times faster – compared to disconnectome computation with the state-of-the-art BCBToolkit software. Moreover, the deep-disconnectomes were challenged to predict cognitive and behavioral outcomes one-year post-stroke. In an additional cohort of N=139 stroke survivors, N=86 neuropsychological scores were predicted from deep-disconnectomes achieving, on average, 85.2% of accuracy and R²= 0.208. The deep-disconnectomes predictivity power outperformed the conventional disconnectome predictions for clinical scores.
In summary, we have achieved a significant milestone for clinical neuroimaging by accelerating and ameliorating the creation of disconnectome maps using deep learning. By integrating deep learning into the management of stroke, one of the most prevailing catalysts for acquired disabilities, we deepen our understanding of its impact on the brain. This novel approach may offer potential avenues for acute intervention, ultimately enhancing patients' overall quality of life.
Recovery of Cobalt from Cathode of Lithium-Ion Battery Materials by Using Ternary Deep Eutectic Solvent
Authors: Li Xin , Li Yin , Qiao Qian , Yu Honghao , Wang Kun , Li Nianping , Sun Yuanrun , Wang Bingtian , Xing Wenpeng 
Published: September 2023

Abstract
A new ternary deep-eutectic solvents, consisting of Choline chloride, ethylene glycol and benzoic acid, were designed for efficient leaching valuable metals from commercial cathode materials lithium oxide of spent lithium-ion batteries. The influence of experiment parameters on the leaching of cobalt was systematically investigated and optimized by response surface methodology. The leaching kinetics were elucidated in detail. The leaching efficiency of cobalt reached almost 100%, when the temperature is 170 ℃, the time of 3 h, and the molar ratio of the choline chloride: ethylene glycol: benzoic acid of 1:1.6:0.4. The kinetics Co leaching showed good agreement to the shrinking core model, in which the diffusion of solid product layers was the limiting step, and the apparent activation energy was about 77.22 kJ/mol. Infrared spectroscopy indicated that hydrogen donors provided multiple ligands to facilitate the solubilization of cobalt. The SEM analysis of the leachates showed that the edge of particles changed significantly, the particle size decreased, and the dissolution process appeared. The simultaneous realization of high efficiency, green process is expected to bring the DES into practical application for recovery of cathode from spent lithium-ion batteries.
Instant premix for steamed cowpea (Vigna unguiculata L. Walp) pudding: Effect of foam-mat and air-oven drying on flour and end product characteristics
Authors: Alifa Nicholas Ojonugwa , Adeboyejo Folasade Olabimpe , Aworh Ogugua Charles 
Published: September 2023

Abstract

The effect of foam-mat and air oven drying on nutritional, functional, colour, rheology and microstructural properties of instant cowpea premix for production of moin-moin, a popular tropical protein-based meal, was investigated. In addition, the sensory properties of moin-moin prepared from the premixes were comparatively evaluated with traditionally produced moin-moin and the one produced from commercial cowpea flour. Foam-mat dried premix produced moin-moin of significantly higher nutritional quality than the oven-dried premix and the commercial cowpea flour. Furthermore, foam-mat dried products had higher bulk density, wettability, emulsion and foam capacity. Commercial cowpea flour had higher hydrophilicity, whereas the premixes had higher oil absorption capacities. Loss of desirable colour properties as evidenced by higher a* and b* values in oven-dried premix occurred. Pasting properties were significantly affected by drying method with the oven-dried premix having the highest tendency to retrograde and disintegrate. Microstructure of the premixes and cowpea flour showed distinct differences in their uniformity and granule size. Comparatively, moin-moin from the premixes had higher nutritional properties, but were less preferred in terms of sensory quality attributes than the one prepared conventionally and from commercial cowpea flour.