bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cognitive reappraisal and affective response to physical activity: Associations with physical activity behavior
Authors: Gürdere Ceren , Sorgenfrei Julina , Pfeffer Ines 
Published: August 2023

Abstract

Objective
The present study aimed to test the associations among physical activity (PA), cognitive reappraisal (CR) frequency, and affective response (AR) to PA, and further to examine the role of CR on PA behavior through AR.
Results
The frequency of CR use was positively associated with AR, and AR with PA behavior. Mediation analysis revealed that AR mediated the relationship between CR and PA.
Comparative Study of Integer- and Fractional-Order PID Controller Tuning for BLDC Motor Speed Using Single- and Multi-Objective Optimization
Authors: BOUBIDI Assia , KECHIDA Sihem 
Published: August 2023

Abstract

This paper presents an optimal design of Integer- and Fractional-Order Proportional-Integral-Derivative (PID/FOPID) controller parameters for speed control of BLDC motor based on Single- and Multi-Objective Optimization (SOO/MOO). For SOO, the process of tunning was conducted via the Whale Optimization Algorithm (WOA) under Integral of Time Absolute Error (ITAE) objective function. At the end of SOO, the best solution which corresponds to PID/FOPID controller’s gains values has been obtained directly according to the minimum value of ITAE objective function. For MOO, the Multi-Objective Whale Optimization Algorithm (MOWOA) was used with three objective functions to minimize which are: settling time, overshoot and error steady state. The MOO generates non-dominated solutions forming Pareto front. The best compromise solution was obtained using fuzzy decision-making approach satisfying desired preferences. For the comparison of different controllers, step responses, frequency responses, tracking and load disturbance responses were all carried out and analyzed. The simulation results have shown that the MOWOA-FOPID controller provides a better response with faster speed without any overshoots, and good tracking capacity rejecting the load disturbances.
Crop Rotation Can Suppress Verticillium Wilt on Chinese Cabbage and Analysis of Factors Affecting Disease Development
Authors: Hoshino Keisuke , Kogure Keita , Furusawa Akiko , Okawara Kazuaki , Ikeda Kentaro , Sakai Hiroshi 
Published: August 2023

Abstract
In this study, we examined the effect of crop rotation on the suppression of Verticillium wilt in Chinese cabbage. Compared to leaving cultivation areas fallow (i.e., no rotation), introducing crop rotations with broccoli or cabbage were significantly more effective in controlling this disease. Here we used a generalized linear model to evaluate the effectiveness of crop rotations in all trials. In addition, an optimal model was constructed using Akaike’s Information Criterion to select explanatory variables associated with disease suppression. In the best model, the estimated coefficients for crop rotation with broccoli and cabbage were − 0.56 and − 0.38, respectively, compared to fallow (p < 0.05). In addition, we found that susceptibility to disease varied by harvest month and year. This study shows that Chinese cabbage wilt can be controlled by crop rotation. Furthermore, the analysis of factors involved in the development of this disease can help cultivators eliminate it from Chinese cabbage production in the future.
Microemulsion synthesis of Co-Ni co-doped LaCrO 3 perovskite and its nanohybrid with graphene for minerzlaition of toxic organic azo dyes
Authors: Aamir Muhammad , Bibi Ismat , Sabir Muhammad , Zulfiqar Sonia , Mubarik Shamroza , Raza Qasim , Karami Abdulnasser , Aadil Muhammad 
Published: August 2023

Abstract
In this research paper, visible light-driven ABO3 type (perovskite) lanthanum chromite (LaCrO3; labeled as LCO) and Co-Ni co-doped lanthanum chromite (La1-xCoxCr1-yNiyO3 (x,y = 0.50); labeled as LCCNO) photocatalyst were synthesized by following a facile microemulsion technique. Later, to fabricate their reduced GO-based (La1-xCoxCr1-yNiyO3/r-GO; labeled as LCCNO/r-GO) nanocomposite: LCCNO nanoparticles were decorated on reduced graphene oxide (r-GO) using ultrasonication method to achieve high degradation of carcinogenic and toxic pollutants from the environment. The as-fabricated nanoparticles (NPs) were subjected to different advanced instrumentations regarding their structural and application analysis. The structural, morphological, specific surface area and elemental analysis were studied by XRD (x-ray diffraction), FT-IR (Fourier Transform-Infrared Spectroscopy), SEM (Scanning Electron Microscopy), BET (Brunauer Emmett Teller) and EDX (Energy Dispersive X-ray), respectively. The optical analysis and current-voltage (I-V) experiment was employed to investigate the impact of Co-Ni ions co-doping and r-GO on the bandgap and conductivity of the fabricated material, respectively. Regarding their environmental application study, the fabricated nanomaterial's photocatalytic activity (PCA) was tested against the photodegradation of crystal violet (CV) dye. LCCNO/r-GO NCs photocatalyst showed maximum CV dye photodegradation efficiency (99.02%; 100 min) as compared to pure LCO (36.44%; 100 min) and co-doped LCCNO (73.74%; 100 min) photocatalysts due to its lower band gap (2.14 eV), higher conductivity (6.4 × 105 Sm-1) and larger surface area (123.7 m2/g). According to PCA study, a dose of 20 mg of LCCNO/r-GO photocatalyst degrades cationic CV dye effectively in basic media (pH–11). Furthermore, scavenging tests were employed to investigate the generation of radical species (.O2 and OH∙) during (PCA) experiments. The structure constancy and reusability of the LCCNO/r-GO photocatalyst was observed for five cycles. It lost 5.71% degradation efficiency against CV dye after five cyclic tests. This research provides new insight into developing high-quality structured photocatalysts for environmental remediation under sunlight irradiations.
Global Prevalence of Mental Disorders Due to Covid-19 In the Central Asia: A Systematic Analysis of The Global Burden of Disease Study From 1990 to 2019
Authors: Rahim Fakher , Dzhusupov Kenesh , Qasim Nameer Hashim , Zhumagaliuly Abzal , Bodnar Nataliia , Khozhamkul Rabiga , Karlygash Toguzbaeva 
Published: August 2023

Abstract
Aim
Using data from the Global Burden of Disease (GBD) research from 1990 to 2019, this study intends to examine the prevalence of mental health problems related to COVID-19 in the Central Asia. Anxiety, depression, and post-traumatic stress disorder (PTSD) are the primary study topics.
Materials and Methods
The prevalence of different mental health diseases was investigated by means of a meta-analysis and comprehensive literature review. For each nation, we calculated the age-standardized prevalence rate and the DALYs lost due to impairment. The research also looked at what factors could be at play, such as demographics, income, and the structure of the healthcare system.
Results
During and after the COVID-19 pandemic, there was a 32% rise in mental health issues in the Central Asia, with wide variations across nations. Socioeconomic inequalities, demographic changes, and the constraints of the healthcare system have all been identified as major contributors to the rising prevalence of mental health problems.
Conclusion
To combat the potentially catastrophic effects of the COVID-19 pandemic, the study's key results highlight the critical need of developing comprehensive mental health policies and treatments in the Central Asia. Improving the availability of mental health treatment, addressing the underlying socioeconomic and demographic causes, and adapting interventions to the unique requirements of each nation are all essential in tackling this serious problem. This study aids in clarifying the state of mental health in the Central Asia and guiding policymaking to lessen the impact on mental health of the current COVID-19 epidemic.
The experience of social isolation in patients receiving peritoneal dialysis：A qualitative study
Authors: Diao Keke , Wang Jiajia , Huang Yijiang , Zhang Yanjun , Guo Dingshuo , Zhang Luke , Shan Yan 
Published: August 2023

Abstract
Background:
Social isolation(SI), as a negative psychological state, can aggravate sleep disturbances and deterioration of renal function, seriously jeopardizing physical health, which is particularly prominent in peritoneal dialysis(PD) patients. However, most of the current research in this field is quantitative, and there are few qualitative studies on SI in PD patients. Understanding patients' psychological experience of SI is essential for the targeted design of intervention programs. Therefore, the aim of this study is to investigate the experience of SI among PD patients.
Methods:
12 peritoneal dialysis patients who were hospitalized in a tertiary hospital in Zhengzhou City, Henan Province, were selected for the study using purposive sampling. Semi-structured in-depth interviews were conducted to collect data, and content analysis methods were used to analyze the data.
Results:
A total of 3 themes and 12 sub-themes were analyzed and extracted from this study,namely:(1) Dialysis treatment inspires problems of social isolation(Low self-esteem and sensitivity, Fear and concern, Self-isolation and avoidance, Alienated by others); (2) Patients struggle to escape the effects of social isolation(Increasing cognitive and behavioral management, Seeking support from within the family, Compromise and Growth, Reinventing the value of life); (3) Multiple obstacles exacerbate the plight of social isolation(Shackles of over protection, Agony of public misunderstanding, Burden of treatment expenditure, Deficiencies in support systems).
Conclusion:
This study provides insight into the experience of SI in PD patients and the reasons for it. The findings has shown that PD patients have significant psychological problems because of SI. Participants experience low self-esteem, worry, and reduced socialization, and they need more emotional and social support to get through it.
A simple, quick, and economical method for in vitro cultivation of Echinococcus multilocularis metacestode and generation of primary cells
Authors: Zhang Cuiying , Li Zihua , Yong Fu , Li Tao , Hou Siyu , Wang Chan , Li Ming , Zhao Wei 
Published: August 2023

Abstract
Background
Alveolar echinococcosis is one of the most lethal parasitic zoonotic diseases. However, the molecular mechanisms through which Echinococcus multilocularis interacts with its host are poorly understood, and only limited treatments are available. Owing to the advantages of cell culture systems in molecular research, numerous attempts have been devoted to establishing primary cell cultures of Echinococcus multilocularis. In this study, we developed a simple, rapid, and economical method that allows Echinococcus multilocularis metacestode tissue blocks to generate daughter vesicles without host feeder cells in a regular medium.
Methods
We performed anaerobic, hypoxic (1% O2), normoxic, and semianaerobic (in sealed tubes) cultures of Echinococcus multilocularis metacestode tissues to produce daughter vesicles. Then, the daughter vesicles were cultured at three distinct oxygen concentrations (anaerobic, 1% O2, and normoxic) to identify the optimal cultivation conditions. The viability of the daughter vesicles was assayed using carboxyfluorescein succinimidyl ester staining. Vesicles with high vigour were subsequently used to test the antiparasitic effect of albendazole by isolating primary cells and infecting animals.
Results
After 4 weeks of incubation, we found that Echinococcus multilocularis metacestode tissues that were cultured in sealed tubes produced daughter vesicles. The daughter vesicles were remarkably enlarged under anaerobic conditions after 8 days of culture, whereas vesicles cultured under the other two conditions only showed a mild increase in volume. Our in vitro cultivated vesicles showed strong viability and could be used to test antiparasitic drugs, isolate primary cells, and infect animals.
Conclusions
In the study, we established a simple, quick, and economical method for the in vitro generation of vesicles from tissue blocks of Echinococcus multilocularis metacestodes in the absence of host feeder cells. Our in vitro cultivated vesicles, showing appropriate viability, are suitable for screening drugs for the treatment of alveolar echinococcosis both in vitro and in vivo.
"Traditional" use in a global world: Unsustainable harvesting drives species to extinction
Authors: Haq Shiekh Marifatul , Waheed Muhammad , Bussmann Rainer W. 
Published: August 2023

Abstract
Traditional knowledge is crucial in illustrating how faunal resources are exploited for a variety of purposes, ranging from food to the exploitation of their parts as decorative accents and even traditional medicine. However, unrestrained use may endanger the existence of the species. In terms of traditional usage and hunting status, very little study has been undertaken in India and much less so in the western Himalayas (Jammu & Kashmir). Five ethnic groups' information on ethnobiology and hunting was gathered through semi-structured and open-ended questionnaires, group discussions, and interviews. Utilizing R software version 4.0.0, the data were subjected to hierarchical cluster analysis and ordination methods (Principal Component Analysis). Three categories—single, double, and multiple uses—were used to classify the traditional uses. In the current study, we documented ethnozoological applications of 25 wild species from 12 families in the western Himalayan region. The most frequently used animal part was meat (29.2%), and the highest priority of the local people was for medicinal usage (29.3%). Across ethnic groups, the Bakarwal and Gujjar showed greater similarity in use, whereas the least overlap was observed between Dogra and Kashmiri. Meanwhile, a single species (Glaucidium radiatum) was unique in being used by Dogra ethnic group only. Finally, we evaluated the protection status of the species and based upon the Wildlife Protection Act 1972 (WPA) categorization it was observed that 48% belonged to Schedule-I, 4% belonged to Schedule-II, 16% belonged to Schedule-III, and 12% belonged to Schedule-IV. The study discovered that the indigenous population relies on the Schedule-I species with high use value was observed for species like Ursus thibetanus (60), Moschus moschiferus (0.57), Panthera pardus (0.52) and Cervus elaphus hanglu (0.38). These species require attention by immediately addressing unsustainable harvesting and encouraging educational efforts directed at all stakeholders, from collectors to end users. This study can be used as a starting point for learning how ethnobiological studies might help build sustainable long-term conservation and management plans for animal resources in the Himalayas.
Age-Related Macular Degeneration Understanding and Awareness in Pakistan: A Realistic Epidemiological Survey
Authors: Khan Muhammad Ahsan , Mahmood Alishba , Saeed Mariam , Ali Syed Arif , Imtiaz Fauzia 
Published: August 2023

Abstract

BACKGROUND:
Age-related macular degeneration (AMD) has been a preeminent cause of blindness and a matter of community health concern due to its high prevalence in older populations above 40 years of age. Literature regarding AMD awareness among the urban Pakistani population is very limited. Therefore, the aim of this study was to conduct a comprehensive survey on the urban population of Karachi, Pakistan, to evaluate their knowledge and preventive practices (KAP) regarding AMD. Another objective was to see the influence of demographic factors on knowledge level in participants and to assess the main source of information regarding the disease among the participants.
METHODS:
The study was conducted on 385 participants over a period of six months between September 2022 and February 2023. To predict the KAP level regarding AMD among participants, the knowledge section of the questionnaire was divided into 17 pointers that included 1 correct definition of the disease, 12 right/wrong risk factors, and 4 right/wrong symptoms of the disease. Participants who were able to answer ≥ 9 pointers, i.e., > 50% correctly, were considered to have “above average” knowledge. Data were analyzed using SPSS version 24.0. Descriptive statistics of participants’ sociodemographic factors, knowledge, attitude, and preventive practices were analyzed. Chi-square tests were used to compare sociodemographic factors with the knowledge catalog.
RESULTS:
Only 161 (41.8%) participants knew about AMD, while 224 (58.2%) did not know about it. The definition of the disease was correctly selected by 86 (53.4%) participants. The correct risk factors (obesity, age, and family history of AMD, smoking, lack of multivitamins, alcohol and unprotected exposure to light) were identified by 11.2%, 23.9%, 17.1%, 11.9%, 9.6%, 8.3% and 9.4%, respectively. The correct symptoms of AMD, such as blurring of vision, were answered by 109 (28.3%) participants, and visual hallucinations and flashes of light were answered correctly by 29 (7.5%) participants. “Above average” knowledge about AMD was found to be statistically significant with the level of education (p < 0.01) and monthly income (p < 0.02) of participants. Social media/newspaper/TV (23.40%) was the most common source of information among participants.
CONCLUSION:
These figures demand an immense need for eye health education campaigns, either general or targeted toward AMD, to increase the level of awareness and preventive and health-seeking behaviors among the population. Initiatives for public health might be launched to explicitly address these gaps.
Causal relationship between mood swing and gynecological disorders: a Mendelian randomization study
Authors: Bian Jia , Li Hongfeng , Shang Yaping , Zhang Fang , Tang Lifei 
Published: August 2023

Abstract
Background
Increasing number of observational studies have associated mood instability to common female diseases, but the underlying causal relationship remains unclear. In this work, Mendelian randomization (MR) analysis was applied to explore the genetically predicted causal relationship of mood swings and several prevalent gynecological disorders.
Methods
Instrumental variables (IVs) of mood swings were selected from UK Biobank (UKB), with 204,412 cases and 247,207 controls being incorporated. The genetic variants for female disorders were obtained from genome-wide association studies (GWASs) and FinnGen consortium. To avoid biases caused by racial difference, only European population was included here. Five strong analytical methodologies were used to increase the validity of the results, the most substantial of which was the inverse variance weighting (IVW) method. Pleiotropy, sensitivity, and heterogeneity were assessed to strengthen the findings.
Results
We found mood swings was significantly positively associated with risk of endometrial cancer (OR = 2.60 [95%CI = 1.36, 4.95], P = 0.0037), cervical cancer (OR = 1.01[95%CI = 1.00,1.02], P = 0.0213) and endometriosis (OR = 2.58 [95%CI = 1.18, 5.60], P = 0.0170) by IVW method. However, there was no causal relationship between mood swing and ovarian cancer. No pleiotropy and heterogeneity existed and sensitivity tests were passed.
Conclusion
This study reveals genetically predicted causal relationships between mood swing and the risk of endometrial cancer, cervical cancer and endometriosis in European populations through MR analysis, which makes up for observational research's inherent limitations.
Quantitative proteomics analysis of papillary thyroid carcinoma reveals Protein S, Clusterin, and Leucine-rich α-2-glycoprotein 1 as potential prognostic protein biomarkers
Authors: Le KeHao , Sun HaiLi , Li FeiBo , Xu NiZhen , Wang JianBiao 
Published: August 2023

Abstract
Background
Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. The primary challenge is identifying patient subgroups with PTC and choosing the most effective treatment approach.
Results
To explore the differently expressed proteins (DEPs) between high and low recurrent-risk PTCs, we collected 15 tissues comprising high (n = 7) and low (n = 8) recurrent-risk groups from PTC. The samples were detected by tandem mass tag labeling proteomics. Using TCGA (The Cancer Genome Atlas) data on thyroid cancer, prognosis-related DEPs were identified. Furthermore, an immunohistochemistry (IHC) stain of 53 cases of PTC tumors was adopted to validate the relation of potential biomarkers with prognosis. We identified 8,958 proteins from the 15 samples, with 95 DEPs obtained by comparing high and low-recurrent-risk groups, including 38 up-regulated and 57 down-regulated proteins. Three down-regulated proteins [Protein S (PROS1), Clusterin (CLU), and Leucine-rich α-2-glycoprotein 1 (LRG1)] were found to be significantly associated with poor overall survival in thyroid cancer using differential analysis and Kaplan-Meier survival analysis. IHC results showed low or moderated expressions of PROS1, CLU, and LRG1 were significantly associated with high-risk clinicopathologic characteristics of PTC. PTC patients with higher expression of PROS1, CLU, and LRG1 had better progression-free survival than those with low or moderate expression.
Conclusions
Our study identified PROS1, CLU, and LRG1 as novel prognostic biomarkers in PTC.
Hybrid Collaborative Intrusion Detection System Based on Blockchain &amp; Machine Learning
Authors: Jemili Farah , Korbaa Ouajdi 
Published: August 2023

Abstract

Intrusion Detection Systems (IDS) have traditionally been designed with a centralized structure, where a single device is responsible for monitoring the entire network. However, with the increasing complexity and scale of modern networks, this approach has become less effective. Centralized IDS can suffer from performance issues, limited scalability, and vulnerability to targeted attacks. To address these limitations, there is a growing need to develop collaborative IDS that can distribute the workload across multiple devices and better handle large-scale networks. Collaboration enables IDS to detect intrusions more effectively by combining and analyzing data from multiple sources. The adoption of blockchain technology is essential in achieving a collaborative IDS. Blockchain provides a secure, decentralized way to store and exchange information between different devices, which is critical for building trust and ensuring the integrity of the system. Furthermore, machine learning algorithms can be used to improve the performance of IDS by detecting new and emerging threats. Machine learning can help to identify patterns and anomalies in network traffic, enabling the system to detect and respond to attacks more effectively. By combining these approaches, a reliable and scalable detection system can be developed. The collaborative IDS using blockchain technology and machine learning algorithms can improve the accuracy and efficiency of detecting network intrusions while maintaining the security and integrity of the system.