bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of functioning in breast cancer survivors: an interpretive descriptive analysis study based on the international classification of functioning, disability, and health (ICF) and the Item-Perspective Classification Framework
Authors: Jamshidi Farkhondeh , Farzad Maryam , MacDermid Joy , Hosseini Seyed Ali , Habibi Mojtaba , Alizadehasl Azin 
Published: September 2022

Abstract

Purpose

Breast cancer survivors experience a range of disabilities compromise their independent function. This study aimed to examine their perspectives and experts on their functioning and interpret concepts with the international classification of functioning, disability, and health (ICF) and the Item-Perspective Classification Framework (IPF).

Methods

Interpretive descriptive methods were used with in-depth interviewing with 16 breast cancer survivors and 22 experts using a semi-structured interview guide. The interviews were recorded, transcribed, and qualitatively analyzed using thematic analysis. The extracted data were linked to the ICF Core Set for Breast cancer and were interpreted by the IPF.

Results

Four main themes emerged to define the functioning of BC survivors: body functioning, physical functioning, social functioning, and mental functioning. Three other factors were also categorized as modifiers of functioning personal, emotional, and environmental. The 592 extracted meaningful concepts were linked to 38 (47%) categories from the ICF: 16 Body Functions, 14 Activities and Participation, and 8 Environmental Factors. The IPF classified all the extracted concepts, and most rational appraisals fell in the biological (B) domain. The concepts that required emotional appraisal were classified in Psychology (P).

Conclusion

Psychological and emotional factors were pivotal in defining functioning in patients with BC.
The Role of Linc00467/TRAF5 in Promoting the Malignant Progression of Prostate Cancer and its Mechanism
Authors: Wang Yibing , Zhang Xiali , Wu Lidong , Fu Bin , Wang Gongxian , Luo Zhiqiang , Zeng Tao , Luo Jun 
Published: September 2022

Abstract
Background
Prostate cancer (PCa) is a commonly occurring cancer in the prostate. However, its pathogenesis is complex and remains largely unknown. This study aims to uncover the biological role of Linc00467/TRAF5 in influencing the progression of PCa and to provide novel directions for clinical treatment of PCa.
Methods
Linc00467 and TRAF5 were screened from PIA through chip detection in our previous study. Linc00467 and TRAF5 expression was verified using RT-qPCR in PC3, DU145, and normal human prostate epithelial cell line (HPrEC). Clinical specimens were collected to measure the expression of Linc00467 and TRAF5 in normal prostate tissue, PIA tissue, and PCa tissue using RT-qPCR. To further elucidate the regulatory effects of Linc00467 on TRAF5, siLinc00467 (SH4) was transfected into PCa cell lines (PC3 and DU145), and the expression of TRAF5 was detected by Western-blot. To study the impact of Linc00467 and TRAF5 on the biological behavior of PCa cells, we transfected siLinc00467 (SH4), overexpressed TRAF5 plasmid (Ov-TRAF5), and overexpressed siLinc00467 + TRAF5 plasmid into PC3 and DU145 cells, respectively. Next, we performed specific assays (MTT assay, scarification test, Transwell, Tunel, and flow cytometry) to analyze the effects of Linc00467 and TRAF5 on proliferation, migration, invasion, and apoptosis of PCa cells (PC3 and DU145). We also utilized a tumor-bearing nude mice model to understand the effects of Linc00467 and TRAF5 on tumor growth.
Results
The experimental results demonstrate that Linc00467 is highly expressed in PCa cell lines (PC3 and DU145), while the expression of TRAF5 is low. We found a similar pattern in clinical specimens (PIA and PCa tissues) where in Linc00467 was highly expressed and TRAF5 was downregulated. Inhibiting Linc00467 can promote TRAF5 expression, significantly reducing the proliferation, migration, and invasion of PCa cells (PC3 and DU145) and promoting apoptosis. The experiment on tumor-bearing nude mice showed that Linc00467 inhibition and overexpressed TRAF5 could inhibit tumor growth.
Conclusion
Our study suggests that Linc00467 is a tumor-promoting gene in PCa, while TRAF5 is a tumor suppressor gene. Furthermore, Linc00467 has a regulatory effect on TRAF5. The tumor-promoting effect of Linc00467 may be exerted by regulating TRAF5, but its specific mechanism needs to be explored further.
Revisiting CO2 Emissions and Economic Growth in 10 Asian Countries: a Quantile-on-Quantile Approach
Authors: Chang Tsangyao , Chang Yu-Cheng , Chen Sheng-Tung , Wang Mei-Chih 
Published: September 2022

Abstract

This study applies a Quantile-on-Quantile model to investigate the emissions-economic growth relationship. Data from ten Asian countries for period of 1969–2019 is used. Both real GDP per capita and CO2emissions data are used in this study. Empirical results from our Quantile-on-Quantile model show that the relationship between CO2emissions and GDP varies across quantiles. Our findings indicate that most countries face a transformation of energy consumption structure, except for Japan and Singapore. Our results have important policy implications for the study countries.
Eye-mimicked neural network composed of photosensitive neural spheroids with human photoreceptors
Authors: Park Byeongho , Bang Seokyoung , Hwang Kyeong Seob , Cha Yeon Kyung , Kwak Jisung , Tran Na Ly , Kim Hyo-Suk , Park Subeen , Oh Seung Ja , Im Maesoon , Ryu Yong-Sang , Chung Sooyoung , Kim Jongbaeg , Park Tai Hyun , Song Hyun Seok , Kim Hong Nam , Kim Jae Hun 
Published: September 2022

Abstract
An in vitro model of an eye-to-brain circuit, composed of human photoreceptors that are the short-wavelength opsins and rhodopsins, was created. Two types of photosensitive neural spheroids were transfected for selective reaction under bluish-purple and green lights. These samples were applied to two devices with intact neuron and neural-spheroid to study the interaction. By photostimulation, the photosensitive spheroid initiated photoactivation and phototransduction, and the signal generated from its body was transmitted to adjacent neural networks. Specifically, the signal traveled two millimeters through the axon bundle in the narrow gap from the photosensitive spheroid to the intact spheroid as the eye-to-brain model including optic nerves. The whole process with the photosensitive spheroid was monitored by calcium assay fluorescence images and analyzed by several immunostaining imaging methods. The results of this study can be applied to examine and understand vision restoration and novel photosensitive biological systems with spectral sensitivity.
`Secretory IgA and course of COVID-19 in patients receiving a bacteria-based immunostimulant agent in addition to background therapy
Authors: Kostinov Michail , Svitich Oksana , Chuchalin Alexander , Osipcov Valerij , Khromova Ekaterina , Abramova Natal'ya , Tatevosov Vitalij , Vlasenko Anna , Gajnitdinova Viliya , Pakhomov Dmirrij , Mashilov Kirill , Ospel'nikova Tat'yana , Mikhailova Natal'ya , Polishchuk Valentina , Kurbatova Ekaterina , Kostinova Aristitsa 
Published: September 2022

Abstract
Scientific Relevance: Mucosal immunity plays a major role not only in the prevention but probably also in the outcome of COVID-19. An enhanced production of secretory immunoglobulin A (sIgA) might contribute to the activation of the immune response mechanisms.
Study Objective: To assess the levels of sIgA produced by epithelial cells in the nasal and pharyngeal mucosa and those measured in salivary gland secretions and to study the course of COVID-19 following the intranasal or subcutaneous administration of a bacteria-based immunostimulant agent.
Materials and Methods: This study included 69 patients, aged between 18 and 60, who had moderate COVID-19 infection. They were divided into two groups: Group 1 (control group) included 39 patients who received only background therapy, and Group 2 was made up of 30 patients who received background therapy in combination with the Immunovac VP4 vaccine, a bacteria-based immunostimulant agent, which was given for 11 days starting from the day of admission to hospital. The levels of sIgA were measured by ELISA in nasal epithelial swabs, pharyngeal swabs, and salivary gland secretions at baseline and on days 14 and 30.
Results: The convalescence phase of moderate COVID-19 was associated with a decrease in sIgA levels in nasal swabs, persistently high sIgA levels in salivary gland secretions, and no changes in pharyngeal swabs with the levels similar to those in healthy subjects. The addition of an immunostimulant agent to combination therapy for patients with COVID-19 stimulates the production of sIgA in the nasal and pharyngeal compartments, reduces C-reactive protein (CRP) levels and shortens the duration of fever and the length of hospital stay.
Conclusion: Using an immunomodulatory agent containing bacterial ligands in therapy for COVID-19 patients enhances the production of sIgA in the nasal and pharyngeal compartments and improves the course of the disease.
Simulating widespread extreme rainfall events over the Drakensberg with WRF and MPAS models.
Authors: TAKONG Ridick Roland , Abiodun Babatunde Joseph 
Published: September 2022

Abstract

This study investigates the characteristics of widespread extreme rainfall events (WERE) over the Drakensberg with the aid of observation, reanalysis, and simulation data during the period 1987–2016. WERE event over the DMR was defined as a rainfall event during which at least 40% of the grid points over the DMR experienced at least 95% percentile of daily rainfall at the respective grid points. The simulations were performed using the Weather Research and Forecasting (WRF) model and the Model for Prediction Across Scales (MPAS). The capacity of the WRF and MPASS models to represent past characteristics of extreme precipitation over the DMR was evaluated against five observation datasets and the forcing reanalysis data. Precipitation characteristics were represented with four precipitation indices. Both models (MPAS and WRF) simulate realistic rainfall characteristics over Southern Africa, especially over South Africa and DMR. For all the precipitation indices, the models capture the west-east precipitation gradient over South Africa and reproduce the local precipitation maxima over the DMR as well as along the south and southeast coasts of South Africa. Nevertheless, there are notable differences in the performance of the models. While MPAS performs better than WRF in some cases, WRF performs better than MPAS in other cases. All the observation datasets agree that WERE mostly occurs in three seasons over DMR and does not occur every year. However, there are substantial disagreements among the datasets regarding the climatology and annual frequency of WERE. Self-organizing map analysis of grid points where extreme rainfall occurred during WERE events shows that there are 5 major spatial patterns of strong rainfall areas during WERE events over the Drakensberg. The patterns are generally associated with frontal systems, tropical temperate troughs, and ridging highs. Patterns of strong rainfall areas during WERE events identified in this study could help in the management of extreme rainfall-related disasters around the Drakensberg.
Research on a cushioning structure for the midsoles of sports shoes based on the three-dimensional pore structure of loofahs
Authors: Zhang Zonghai , Zuo Jingwu 
Published: September 2022

Abstract
A study based on the three-dimensional structural properties of loofahs was carried out to model and analyse the vibration damping characteristics of reinforced composite loofah materials and structures. The structural model was tested for Young's modulus compression by using finite element techniques. Based on the results of the study, a lightweight cushioning structure based on a reinforced composite loofah with polygonal pores was developed and used as a midsole cushioning module for running shoes. The structure was then subjected to dynamic shock vibrations, compression, vibration damping and loss factor, fatigue testing and compression testing. The results of the tests showed that the midsole achieved an ideal balance of weight and mechanical performance and was an excellent cushioning structure with high durability.
Marketing-induced demand generation and the evolution of market concentration
Authors: Chudziak Szymon 
Published: September 2022

Abstract
The current standard in agent-based economic modelling is effectively to conform to the technological view of the firm, wherein marginal costs play the central role. This is in contrast with the majority of theoretical research on business entities. The impact of marketing and demand-generation capabilities of firms has not been considered in quantitative theoretical frameworks. Moreover, competition and evolution of market shares has been most often modelled by the means of replicator dynamics. However, in its canonical form it is backward-looking, unaffected by any current variables; in a converse situation, the problem of ensuring mutual consistency of market shares changes arises. An alternative competition framework is proposed. An agent-based model is developed, in which firms are modelled as behavioural, contractual and procedural entities and their marketing affects the growth rate of demand. The proposed method of modelling firms' competition allows for representing markets with stationary, increasing, or decreasing concentration, with or without market leaders, and those composed of firms of similar size but transitioning to new stationary states of market concentration. It is demonstrated that the evolution of market concentration and the pace of marketing-enhanced demand growth depends on three factors: the size of possible market shares gains and losses per period, whether firms’ competitive power is related to their market share or not, and on the initial market composition. Moreover, enhancing demand growth is possible even in settings that are computational equivalents of perfectly competitive markets.
JEL codes: D40, D90, L11, L22, M31
Phthalates and Heavy Metals in Sewer and Outlet Stream in a part of Lagos Southwest Nigeria
Authors: Onipede Olumayowa Joshua , Chigbundu Chijioke Emmanuel , Onifade Olayinka Omoniyi , Adewuyi Olufemi Gregory 
Published: September 2022

Abstract
Contaminants and pollutants impact on the availability of clean water for the human population is huge as clean water is increasingly scarce for human consumption on earth most especially in major cities of the world; As water is used they are heavily contaminated and hence there is the need to examine the persistent pollutants most especially phthalates and heavy metals in wastewater and outlet stream. This research examined the level of dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DBP), and heavy metals viz; Pb, Cr, Cd, As and Hg in the sewer and outlet stream in a part of Lagos, Nigeria. DMP ranged from 0.0070 ± 0.036 to 0.0278 ± 0.324, DEP ranged from 0.0367 ± 0.204 to 0.0526 ± 0.496, and DBP ranged from 0.0406 ± 0.241 to 0.1472 ± 1.667 µg/mL, lead ranged from 0.117 ± 0.024 to 0.157 ± 0.048, chromium ranged from nd (not detected) to 0.319 ± 0.245, cadmium ranged from 0.004 ± 0.002 to 0.063 ± 0.021, arsenic ranged from 0.002 ± 0.001 to 0.021 ± 0.006, and mercury ranged from nd to 0.007 ± 0.001 µg/mL. The concentration of lead in this study was higher than the WHO recommended value of 0.1 mg/L in surface water. This research established that phthalates and heavy metals were released into the wastewater from the immediate environment. We suggest that the sewer treatment of the wastewater be reviewed and improved to eliminate the contaminants in the wastewater.
WITHDRAWN: Improving the Performance of Diagnosing Chronic obstructive Lung Disease Using Outlier Detection with Decision Tree Algorithm
Authors: Balamurugan K S , Chakrabarti Prasun , Chakrabarti Tulika , Gupta Amit , Elngar Ahmed A. , Nami Mohammad , Ravi Vinayakumar , Rajchakit Grienggrai , Akbar M Ali 
Published: September 2022

Abstract

Chronic Obstructive Lung Disease (COLD) is a continual inflammatory lung disorder that causes blocked airflow from the lungs. It is also called Chronic Obstructive Pulmonary Disease (COPD.) It is responsible for a variety of different conditions such as chronic bronchitis (breathing passages in the lungs) and emphysema (air sacs in the lungs). The right diagnosis of sickness is one of the foremost important complications in medicine. Hence, computerized analysis of diagnosing COPD has been developed to decrease the time and reduce the demise rate. A classification algorithm is one of the computerized techniques which is utilized for the diagnosis of COPD. In this research work, we proposed a hybrid algorithm called ODWDT (Outlier Detection with Decision Tree) algorithm. It comprises two phases; in the first phase, the thoracic data set is preprocessed using Inter Quartile Range (IQR). In the second phase, the COPD patients are diagnosed and classified by using the J48 decision tree classifier. The thoracic surgery dataset can be used to assess samples that might be risk factors for lung cancer which is taken from the UCI Machine learning repository. Experimental results showed that the proposed method achieved 95% classification accuracyin diagnosing chronic obstructive lung disease patients. The outcome of this research work is to diagnose patients with better classification accuracy so that we can be planned for the next treatment. Results proved that the proposed ODWDT algorithm performs better in the diagnosis of COPD.
A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems
Authors: Kale Ishaan R , Kulkarni Anand J , Mezura-Montes Efren 
Published: September 2022

Abstract
Several Artificial Intelligence based heuristic and metaheuristic algorithms have been developed so far. These algorithms have shown their superiority towards solving complex problems from different domains. However, it is necessary to critically validate these algorithms for solving real-world constrained optimization problems. The search behavior in those problems is different as it involves large number of linear, nonlinear and non-convex type equality and inequality constraints. In this work a 57 real-world constrained optimization problems test suite is solved using two constrained metaheuristic algorithms originated from a socio-based Cohort Intelligence (CI) algorithm. The first CI-based algorithm incorporates a self-adaptive penalty function approach i.e., CI-SAPF. The second algorithm combines CI-SAPF with the intrinsic properties of the physics-based Colliding Bodies Optimization (CBO) referred to CI-SAPF-CBO. The results obtained from CI-SAPF and CI-SAPF-CBO are compared with other constrained optimization algorithms such as IUDE, ϵMAg-ES and iLSHADE𝜖. The superiority of the proposed algorithms is discussed in details followed by future directions to evolve the constrained handling techniques.
What influences newly graduated registered nurses’ intention to leave the nursing profession? An integrative review
Authors: Lyu Xiao-Chen , Huang Shuang-Shuang , Ye Xiao-Ming , Zhang Lu-Yu , Zhang Peng , Wang Ya-Juan 
Published: September 2022

Abstract
Background
Newly graduated RNs leaving the nursing profession in the early stages of their career have enormous financial and time implications for nursing organizations and affect the quality of nursing care.
Methods
An electronic search was conducted for English articles to identify research studies published between 2011–2021 using the following database of PubMed, MEDLINE, CINAHL, PsycINFO, and Scopus. Eligible publications were critically reviewed and scored using standardized critical appraisal instruments from the Joanna Briggs Institute.
Results
Twenty-one studies were analyzed. The main factors affecting newly graduated registered nurses’ intention to leave the nursing profession included demographic factors, supervisor and peer support, challenges in the workplace, cognitive and affective response to work, work environment, gender stereotypes, autonomous motivation, role models, and resilience.
Conclusions
The factors affecting newly graduated registered nurses’ intention to leave the nursing profession are multifaceted and should receive continuous attention from nurse managers. The results provide a baseline of data for nurse administrators to develop intervention strategies to mitigate newly graduated registered nurses’ turnover intention.
Examining the locational approach towards optimal siting of air quality monitoring stations in India
Authors: Choudhary Sanjay , Kaur Harshita , Saharan Virendra Kumar , Kumar Nand 
Published: September 2022

Abstract
Increasing Air Pollution levels globally has been one of the major environmental risks on the ecosystem having multiplier effects on the human health. As a result, the need for regulating bodies to keep an eye on and evaluate pollution levels has grown, particularly in urban areas where human activity and population density are concentrated. Air quality monitoring thus becomes essential in creating and developing strategies to achieve the objectives of sustainable environmental policies. In India, there has been certain measures to set up air quality monitoring stations (AQMS) which are referred to form various action plans to improve the overall air quality in the country. The paper examines various approaches toward locating AQMS throughout the world and in India. It also discusses the approach of single or multi-pollutant monitoring worldwide with the use of various spatial tools and techniques. The guidelines and initiatives for locating optimal AQMS are examined in the study resulting in the formulation of various evaluation criteria which can be practiced for a holistic air quality management. The research aims to bridge the research gap and provide recommendations for an optimum approach to locating air quality monitoring stations in the urban areas of India and the world for better air quality management.
Decreased lincomycin B content by regulating osmotic pressure in fermentation of Streptomyces lincolnensis
Authors: Li Shengkai , Zhang Liwen , Gao Shuhong 
Published: September 2022

Abstract
Lincomycin, a clinically important antibiotic against gram-positive bacteria, is a sulfur-containing metabolite produced by Streptomyces lincolnensis. The content of lincomycin B is an important evaluation index of fermentation quality. In this study, we investigated the effects of NaCl as an osmotic regulator on lincomycin production. Based on the flask experiment, the optimal initial osmotic pressure for lincomycin fermentation was in the range between 0.860–1.355 Osmol/kg. The effect of osmotic pressure on the fermentation of lincomycin in 15 L bioreactor showed that the content of lincomycin B in the broth was decreased to 5.78% when adding 10 g/L NaCl while the content of lincomycin B was 8.20% in the control. During the fermentation process, the intracellular homocysteine and S-adenosylmethionine was higher when adding 10 g/L NaCl, which could provide more methyl donor for lincomycin production, causing the reduction of lincomycin B. Besides, high-throughput RNA sequencing was applied to study the mechanism of osmotic regulation on lincomycin fermentation. Under osmotic stimulation, the transcription of 23 genes in lincomycin biosynthesis cluster were significantly up-regulated at 41 h and the transcription of genes in HMP and EMP was up-regulated while the transcription of genes in TCA cycle were decreased. Notably, the genes involved in sulfur assimilation, mycothiol, ergothioneine and S-adenosylmethionine biosynthesis were up-regulated, which can provide more methyl donor (S-adenosylmethionine) and sulfur donor (mycothiol and ergothioneine) during lincomycin fermentation. This might be the reason of increased lincomycin A production and decreased lincomycin B content. Our study provides new insight into the mechanisms underlying osmotic pressure regulation on lincomycin fermentation and may be applied to improve secondary metabolite production.