bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Efficacy of Cichorium intybus L., Trigonella foenum-graecum L. and Foeniculum vulgare Mill. in Improvement of Ulcerative Colitis Symptoms: A Randomized Clinical Trial
Authors: Mohammadi Soghra , Masoodi Mohsen , Sabzikarian Mohammad , Talebi Atefeh , Mokhtare Marjan , Akbari Abolfazl , Faghihi Kashani Amirhossein 
Published: September 2023

Due to the lack of favorable response to synthetic drugs, the tendency to use traditional medicine to treat inflammatory bowel disease has risen. We aimed to assess the effect of Cichorium intybus L., Trigonella foenum-graecum L., and Foeniculum vulgare L. on the control of recurrent ulcerative colitis (UC) symptoms. This randomized clinical trial was performed on 60 patients suffering from mild-to-moderate UC. Patients were randomly assigned to control and intervention groups. Patients in both groups were treated with a standard dose of oral mesalazine (3 g daily) for eight weeks. In addition, the intervention group was given a mixture of 200 mg C. intybus, 350 mg T. foenum-graecum, and 1.5 mg F. vulgare (three times a day). The disease activity was evaluated before and 60 days after the intervention using a simple clinical colitis activity index (SCCAI). The baseline mean SCCAI score was similar in both groups. Although the SCCAI score significantly reduced in both groups 60 days after the initial assessment, this reduction was significantly higher in the group receiving the herbal combination than in the control group. The intervention-related side effects, such as bloating and dyspepsia, were well tolerated. The use of C. intybus, T. foenum-graecum, and F. vulgare can effectively control UC symptoms and thus, can be used as an effective and safe medication for treating UC.
Implementation of the Learner Centered Design method and the personality approach (Case Study: Redesigning The Interface mobile LMS Tel-U)
Authors: Kurniawan Malik Ibrahim  , Ati Suci Dian Martha  , Dawam Dwi Jatmiko Suwawi  
Published: September 2023

The Mobile LMS Tel-U is an e-learning platform developed by Telkom University to support the learning process. However, it still requires more demand from Telkom University students. Usability evaluation was conducted on twelve students using the System Usability Scale (SUS), resulting in a score of 46.5. Interviews and observations revealed interface problems on the dashboard, material, grades, and quizzes. This study aims to redesign the mobile LMS Tel-U interface using the Learner-Centered Design method and incorporating a personality approach by categorizing students into introverts and extroverts. Designing based on personality groups acknowledges the differences in interface design preferences and the relationship between personality and e-learning interface design. This approach yields two different interface designs, one for introverted students and one for extroverted students. The LCD method determines student needs in supporting the learning process. The redesigned interface's usability was evaluated using SUS to assess its appropriateness for students' learning needs. The study shows an average increase in usability scores of 80.4. The introverted student group achieved a usability score of 81, while the extroverted student group obtained a score of 80. Thus, the LCD method and personality approach effectively enhance the usability of distance learning applications (e-learning).
Computational fluid dynamics modeling of short-circuiting prevention mechanisms in floating treatment wetland retrofitted stormwater pond
Authors: Nuruzzaman Md , Anwar A.H.M. Faisal , Sarukkalige Ranjan 
Published: September 2023

Abstract
Floating treatment wetland (FTW) is a nature-based solution for stormwater treatment. Its treatment efficiency predominantly depends on the fraction of inflow passing through the FTW root zone and residence time within the root zone. To prevent inflow bypassing the FTW, different short-circuiting prevention mechanisms (SPMs) have been deployed in field-scale studies. For example, full-width FTW (FWF) and FTW with impermeable curtains (FIC) were utilized to prevent flow short-circuiting in the horizontal direction. However, these SPMs are vulnerable to vertical flow short-circuiting and there is a potential for reduced residence time, which may affect the treatment efficiency. These vulnerabilities have never been studied and the effectiveness of the SPMs have not been compared previously. Furthermore, different parameters such as porosity of root zone, submergence depth ratio – SDR (length of root to water depth), position of FTW and coverage area have not been investigated for the SPMs, which have greater potential to influence the treatment efficiency of the SPMs. With an aim to investigate the effectiveness of SPMs, this study employed computational fluid dynamics (CFD) modeling in ANSYS Fluent, which was validated by hydraulic tracer experiments and subsequently simulations were conducted by the validated model. The results demonstrated that FWF and FIC had 14% and 8% higher treatment efficiency, respectively compared to a regular rectangular FTW (base case) at a non-dimensional removal rate, krtHRT= 20 (kr is the first-order removal rate of FTW and tHRT is the nominal hydraulic residence time of pond). An increase in treatment efficiency was found with increasing SDR due to larger volume of root zone. Treatment efficiency was augmented with declining porosity since a higher residence time at lower porosity (or higher vegetation density). FWF exhibited the highest treatment efficiency near outlet (> 60%), followed by near inlet (> 50%). Coverage area up to 30% with FWF was found to be optimum in this study.
Cortical signatures of auditory threat-related bias show exposure-based adaptation across the human lifespan
Authors: Ignatiadis Karolina , Baier Diane , Barumerli Roberto , Sziller István , Toth Brigitta , Baumgartner Robert 
Published: September 2023

Abstract

Adaptive threat-related biases in favor of approaching, or looming, sounds have been found across ages and species, thereby implicating the potential of their evolutionary origin and universal basis. The human auditory system is well-developed at birth, yet spatial hearing abilities further develop with age. To disentangle the speculated inborn, evolutionary component of the auditory looming bias from its learned counterpart, we collected high-density electroencephalographic data across human adults and newborns. As distance-motion cues we manipulated either the sound's intensity or spectral shape, which is pinna-induced and thus prenatally inaccessible. Through cortical source localisation we demonstrate the emergence of the bias in both age groups at the level of the primary auditory cortex. Yet contrary to the adults, in newborns it was elicited only through manipulations of intensity and not spectral cues. We conclude that the looming bias comprises innate components while flexibly incorporating the spatial cues acquired through lifelong exposure.
A QR ® Code Authentication Scheme for Signature Hiding
Authors: OMOFAYE Ifedayo , Onashoga S. A. , Aborisade D. O. , Olajuwon B. I. 
Published: September 2023

Abstract
The use of QR CODE to code to hide vital and confidential information and data ranging from the URL to online database and website, bio-data, name of an individual, password have been recently explored. However, not much research have been done in the area of image concealment in QR Code. In this study an effective SecSign_QRCode for signature hiding was developed. The study deployed the Base64 encoding system to convert the image signature to text format before convert to the QR Code. To incorporate an authentication scheme for a secure and privacy enhanced system the study adopted the hashing algorithm utilizing the SHA 256 algorithm. At the initial stage the user is required to input a password which would be used to generate a hash value. The hash value is thereafter combined and embedded with the Base 64 encoding to generate the SecSign_QRCode. On the other hand, the user is required to tender the password to be used for validation, this is then verified by passing it through the hash function and compared with the initial hash value. To measure the performance of the system the image signature from the resulting SecSign_QRCode the study utilized the image assessment metrics; MSE, PSNR, MAXERR, L2RATIO, CORRCOEFF. Experimental result from this study showed that the proposed system yielded an effective SecSign_QRCode with an average CORRCOEFF of 0.89141.
Prevalence of Anemia and Vitamin B12 deficiency in children of brick kiln workers, aged 6 to 59 months: A cross sectional study
Authors: Hanumante Neeta , Narula Arvinder Pal Singh , Deshpande Aruna 
Published: September 2023

Abstract

Background The brick kiln workers, migrate with family to work in brick kilns along with their children & circular migration affects health service utilization and thus the health status of children who are most vulnerable. The present study was carried out to assess prevalence of anemia & vitamin B12 deficiency in children of brick kiln workers, aged 6 to 59 months. Methods It was observational, cross-sectional study. 90 children aged 6–59 months from randomly selected brick kilns were enrolled. After obtaining consent, detailed history was taken & thorough physical examination was performed. Blood sample was collected for estimation of Hemogram, serum ferritin & vitamin B12 levels. Results 55children (61.1%) were found to have anemia and 25.6% children had vitamin B12 deficiency. The majority of children 52/55(94.5%) were considered to have iron deficiency anemia, 80.4% children had mild anemia followed by moderate and severe anemia. All children with anemia were malnourished. There was no significant association between sex of the child & maternal education with anemia, whereas age below 24 months, birth order ≥ 2 & exclusive breastfeeding less than 6 months were significantly associated with anemia. Vitamin B12 deficiency was seen in 23 (25.6%) children & there was no significant association between Vitamin B12 deficiency & the demographic characteristics under study. Conclusion The prevalence of anemia in under-five children of brick kiln workers was higher than that reported in Pune district as per NFHS 5. Vitamin B12 deficiency was seen in 25.6% children. Implementation of various government programmes to combat anemia need to be strengthened.
Stabilizing international wheat prices through international cooperation after the Russian invasion of Ukraine
Authors: Kuhla Kilian , Puma Michael , Otto Christian 
Published: September 2023

Abstract

The Russian invasion of Ukraine in 2022 triggered a global wheat price spike and food insecurities in import-dependent countries. We combine an analysis of the global wheat supply network with an agricultural commodity price model to reproduce the global annual wheat price hike in the trade year 2022. Using a scenario analysis, we show that international cooperation manifested in the Black Sea Grain and Solidarity Lanes initiatives and the removal of export restrictions may have substantially mitigated the 2022 price hike by 13 percentage points. In a worst case scenario – characterized by multi-breadbasket harvest failures, escalating export restrictions, and blocked Ukrainian exports – wheat price increase by 90% compared to 2000–2020 average. Short-term coping strategies – such as food-secure countries dispersing stocks, reducing wheat as feed, or boosting wheat production – are effective at mitigating the price spike in simplified scenarios. Our findings emphasize the importance of internationally coordinated response measures in averting larger food crises.
Prevalence and associated factors of common mental disorders among Prisoners in Kaliti Federal Prison: an institutional based crossectional study
Authors: Abera Bekele , Getnet Masrie , Yemre Mentesnote , Emwodew Delelegn 
Published: September 2023

Abstract
Background
In low-income nations, common mental disorders are now the second leading cause of poor health. It hurts a person’s health, family, job, and usage of medical services. The prevalence of common mental disorders among Kality prisoners is not well understood. This study aimed to assess the prevalence of common mental disorders and the contributing factors among prisoners in Kality prison, Addis Ababa, Ethiopia.
Methods
A cross-sectional study was carried out using a stratified proportionate allocation sample of prisoners at Kality Prison in Ethiopia. Binary logistic regression analysis was used to identify factors associated with common mental disorders. The strength of the correlation between variables was calculated using the adjusted odd ratio (AOR) with a 95% confidence interval (CI).
Result
A completed questionnaire was obtained from 483 (98.9%) of 488 prisoners. Among prisoners,54.5% had common mental disorders. In the multivariate logistic regression, good social support (AOR = 0.373, 95% CI = 0.206–0.678), moderate social support (AOR = 0.322, 95% CI = 0.151–0.687), prison diet (AOR = 0.472, 95%CI = 0.287–0.774), past psychiatric history (AOR = 2.167, 95% CI = 1.247–3.766), past self-injuring behavior (AOR = 2.117, 95% CI = 1.127–3.977), and comorbid medical illnesses such as epilepsy, and HIV AIDS, (AOR = 4.4, 95% CI = 1.474–13.068) were factors significantly associated with common mental disorders.
Conclusions
This study shows that common mental disorders are high in kality prisons. Social support, prison food, self-harming behavior, past mental illness, and comorbid medical illness were significantly associated with common mental disorders. The possibility of increasing social support would overcome the barriers identified in this study, as well as early screening, and continued risk monitoring to ensure preventing suicide.
Secretory phenotype in PBMCs of elderly patients with rheumatoid arthritis
Authors: Wang Wenlong , Chen Yanjuan , Shen Yidi , Chen Jian , Yao Xiaoyang , Cheng Yongjun , Xu Jinzhong , Ma Lisha , Chen Yong , Zhang Chuanfu 
Published: September 2023

Abstract
The senescence-associated secretory phenotype (SASPs) might increase risk of age-related diseases and concomitant diseases in elderly rheumatoid arthritis (ERA) patients. This study aims to investigate the SASPs in peripheral blood mononuclear cells (PBMCs) for ERA patients. We performed RNA-seq of the PBMCs from 5 aged RA (RA_A) and 4 young RA (RA_Y) patients. By comparing the differentially expressed genes (DEGs) of RA_Y and RA_A using DESeq package, we identified the senescent secretory phenotype of ERA. The Gene Ontology (GO) functional enrichment, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and GSEA analysis were performed using clusterProfiler package. The significant protein–protein interaction (PPI) networks identified by Cytoscape. The proteomics data that investigate secretory phenotype of ERA was download from proteomics database. The overlapping SASPs at the intersection of proteomic and transcriptomic were then validated using real-time PCR (RT-PCR). The PBMCs of RA_A and RA_Y had heterogeneity transcriptomic feature. By comparing RA_A with RA_Y groups, 348 up-regulated and 363 down-regulated DEGs were identified. Gene functional enrichment indicated that up-regulated DEGs in RA_A, SASPs for ERA patients, enriched in PI3K-Akt signaling pathway, MAPK signaling pathway, toll-like receptor family, neutrophil degranulation and immune-related pathways and so on. GSEA analysis indicated, humoral immune response pathways were activated in RA_A. By performing RT-PCR, these five SASPs, SPTA1, SPTB, VNN1, TNXB, KRT1, in PBMCs of RA patients were finally validated. Our study revealed the aging phenotypes in PBMCs of RA patients, and validated five SASPs, which providing novel insights for targeting SASPs therapy.
Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components
Authors: Hasan Mohammad Raquibul , Davies Ian , Pramanik Alokesh , John Michele , Biswas Wahidul 
Published: September 2023

Abstract
The main goal of this research was to investigate the influence of additive manufacturing (AM) printing parameters on the mechanical properties and surface roughness of specimens fabricated using recycled polylactic acid (rPLA). In order to achieve this goal, significant printing parameters such as layer thickness, infill density, and nozzle temperature were selected based on prior research. A three-level L9 orthogonal array based on the Taguchi method was used in the experimental design. The mechanical properties of virgin PLA and recycled PLA printed specimens were examined and compared. To facilitate the analysis of variance (ANOVA) examination, the response data for mechanical and surface roughness parameters were transformed to signal-to-noise (S/N) ratios. The inspected responses under consideration were surface roughness, shore D hardness, tensile strength, flexural strength, and impact strength. The main findings suggested that careful consideration of the layer height was crucial for achieving optimum mechanical properties in recycled PLA specimens. Furthermore, the nozzle temperature also played an important factor that affected the mechanical and surface roughness properties of the 3D printed PLA specimens. Microscopic investigation demonstrated that the number and size of voids increased significantly when the layer thickness and temperature were low, namely 0.1 mm and 195 ℃, respectively. Finally, the optimal combination of printing parameters for each performance characteristic was determined. Following this, a confirmation test was performed using the preferred combination of parameters, which indicated a strong correlation with the outcomes predicted statistically. The results obtained from this study revealed that recycled PLA exhibited mechanical properties comparable to that of virgin PLA under certain conditions. In summary, the results of this study will serve as a valuable dataset in the field of additive manufacturing, providing valuable insights for other researchers working with recycled PLA material.
Time-Sensitive Index Future Trading Trend Prediction with Deep Learning methods
Authors: ZHENG YU , Tang Llewellyn , Wang Yashi , Chau Kwong Wing , Cho Siu-Yeung 
Published: September 2023

Abstract
Purpose-
As the stock price’s fluctuation is nonlinear and greatly affected by environmental and industrial factors, stock prediction is extremely complicated and has various methods. This paper aims to find the optimal prediction model for predicting the Hang Seng stock market data from six main forecasting methods: ARIMA (Auto Regressive Integrated Moving Average), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Long short-term memory (LSTM), Gated Circulation Unit (GRU) and Conv1D-LSTM.
Design/methodology/approach-
In this project, the authors apply the open data of Hang Seng stock’s hour-by-hour closing prices to the above methods to establish forecasting models. Among them, hourly technical indicators (such as MA, EMA, and Momentum) are used in training neural network models as features. MSE and MAE methods are utilized to evaluate the discrepancy between the predicted and actual values. Finally, the accuracy of the buying decision (purchase or sell) is tested by the yield calculated by the actual closing price and the predicted closing price, respectively.
Findings-
The data collected from open data of the Hang Seng dataset from September 2019 to September 2020 contained hourly stock indexes, including closing price, opening price, high price, low price, volume, and other fundamental indicators. The total amount of data was 4608 (hours)× 26 (indexes) samples. The contribution of this paper to the existing knowledge is the evidence that the LSTM model has more advantages in forecasting and purchasing decisions compared with other models limited to the Hang Seng stock market. On this basis, the in-depth analysis demonstrates that the datasets multi-dimensionality and timeliness should be considered in the prediction model design. And the proposed architecture of deep learning models in this study could be modified to an expert system coupled with several models to explore the best approach to predicting a stock market's trading trend.
Originality/value-
The contribution of this paper to the existing knowledge is the evidence that the LSTM model has more advantages in forecasting and purchasing decisions compared with other models limited to the Hang Seng stock market. On this basis, the in-depth analysis demonstrates that the datasets multi-dimensionality and timeliness should be considered in the prediction model design. And the proposed architecture of deep learning models in this study could be modified to an expert system coupled with several models to explore the best approach to predicting a stock market's trading trend.
m1A-regulated DIAPH3 promotes the invasiveness of colorectal cancer via stabilization of KRT19
Authors: Mi Shuyi , Lou Guochun , Chen Wenwen , Chen Jingyu , Xu Zhipeng , Xue Meng 
Published: September 2023

Abstract

Background
In recent years, the emphasis has shifted to understanding the role of N1-methyladenosine (m1A) in tumor progression as little is known about its regulatory effect on mRNA and its role in the metastasis of colorectal cancer (CRC).
Methods
We performed methylated RNA immunoprecipitation sequencing of tumor tissues and tumor-adjacent normal tissues from three patients with CRC to determine the m1A profile of mRNA in CRC. The expression of diaphanous-related formin 3 (DIAPH3) and its correlation with clinicopathological characteristics of CRC were evaluated using immunohistochemistry and online datasets. The role of DIAPH3 in the migration and invasion of CRC cells was evaluated using wound healing assay, Transwell assay and xenograft metastatic model. The downstream targets of DIAPH3 were screened using mass spectrometry. By co-transfecting DIAPH3 siRNA and a keratin 19 (KRT19) ectopic plasmid into CRC cells, the role of DIAPH3-KRT19 signaling axis was confirmed.
Results
The mRNA level of DIAHP3 and its m1A modifications increased simultaneously in the CRC tissues. In addition, high DIAPH3 expression in CRC tissues is significantly associated with metastasis and progression to an advanced stage. After the knockdown of DIAPH3, the migration and invasion capabilities of CRC cells suffered a notable decline, which could be rescued by overexpressing KRT19. In addition, the proteasome inhibitor MG132 could block the degradation of KRT19 induced by DIAPH3 silencing.
Conclusions
Our study reveals that DIAPH3 mRNA was modified in CRC cells by m1A methylation. Silencing DIAPH3 suppresses the migration and invasion of CRC cells, potentially through the proteasome-dependent degradation of downstream KRT19.