bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Synonymous Codon Usage Bias in the Chloroplast Genome of Rhododendron farrerae
Authors: Rong Xianlin , Huang Lu , Shen Jianshuang
Published: July 2024

In this study, the codon usage patterns of the chloroplast genome of Rhododendron farrerae were analyzed to provide genetic information for the conservation and innovation of Rhododendron germplasm resources. Codon usage and preferences of 54 protein coding sequences (CDS) from R. farrerae were analyzed using software such as Codon, R package, and EMBOSS. The results showed that the average GC content of the 54 CDS in the chloroplast genome of R. farrerae was 38.10%, with GC1 (46.11%), GC2 (39.68%), and GC3 (28.51%) representing the GC contents at different positions, indicating that the third base of codons in the chloroplast genome of R. farrerae is predominantly composed of A and T. ENC-plot, PR2-plot, and neutral plotting analysis revealed that natural selection pressure was the most significant factor influencing the synonymous codon usage preference in the chloroplast genome of R. farrerae, leading to the identification of 16 optimal codons. This study provides genetic information for the chloroplast genome of R. farrerae and serves as a reference for genetic improvement and germplasm innovation.
Tumor-originated exosomal TREML1 is a novel predictive biomarker for tumorigenesis in lung cancer
Authors: Qiao Wenliang , Chen Juan , Yang Yongfeng , Hou Wang , Lei Kaixin , Wang Haibo , Zhu Guonian , Xian Jinghong , Wang Zhoufeng , Gan Jiadi , Liu Dan
Published: July 2024

Background
Lung cancer is a major contributor to cancer rates and deaths worldwide. Due to its complexity and variability, lung cancer progresses quickly and has a grim outlook, making early and precise diagnosis imperative. Despite numerous clinical methods available to aid doctors in detecting lung cancer, there is still a need for a non-invasive biomarker for cancer development.
Methods
We examine the levels of TREML1 mRNA and protein expression in exosomes derived from tumors in both normal and cancerous lung tissues of humans, utilizing information from TCGA, GTEx, HPA databases, as well as samples obtained from clinical settings. Validation experiments were performed on tissue microarrays obtained from lung cancer samples. We examined targeted next-generation sequencing data from the TCGA database to gain insight into the frequency of TREML1 mutations and the collection of genes that are co-altered in tumors with TREML1 mutations.
Results
Our findings reveal that TREML1 is highly expressed in lung cancer, and could be one valueable predictor which may be applied in clinic in the future. Analysis of survival data from the TCGA and GTEx database suggests that high levels of TREML1 expression are associated with poor clinical prognosis in lung cancer. Analysis of gene mutations revealed that TTN (53.7%) is the most frequent alteration associated with TREML1 overexpression in LUAD, while APOB is the most common alteration in LUSC.
Conclusions
It can be concluded that TREML1 is a suitable target for prognosis and treatment markers. Additional research is required to comprehensively grasp how TREML1 interacts with these signaling pathways, which will be the primary focus of our upcoming studies.
Water Quality Assessment and Modelling Using Machine Learning
Authors: Mishra Km Shashi Prabha , Patel Prabhat Kumar , Singh Asit
Published: July 2024

One of the most essential sources of water for people to drink is groundwater. Several studies on groundwater have been carried out in India. However, the characteristics of groundwater have not been investigated through machine learning (ML tools). There is a need for a defined strategy which would concentrate on a specific part of groundwater management, which means the protection of groundwater from contamination. This study makes use of 97 groundwater samples that were taken from tube wells and dug wells in various places within Ayodhya, Uttar Pradesh, India from the year 2000–2018 groundwater data yearbook. Seven hydro-chemical parameters from each sample were ascertained and compared to the standard values recommended for drinking purposes by the Bureau of Indian Standards (BIS) 10,500:2012. Anticipating the Water Quality Index (WQI) and Water Quality Classification (WQC) so that WQI is a crucial indication for water validity is the difficulty this research aims to solve. Parameter adjustment and optimization are used in this work to increase the accuracy of multiple machine learning ARIMA model, in which the process of forecasting WQI and WQC is performed. The analysis of the proposed algorithms will assist the relevant government agencies in identifying substitute water for consumption in the affected regions.
Design and development of a spectrophotometric cyanide assay based on a cascade reaction catalyzed by cyanide hydratase, formamidase and formate dehydrogenase
Authors: Šťastná Katarína , Martínková Ludmila , Rucká Lenka , Křístková Barbora , Bojarová Pavla , Pátek Miroslav
Published: July 2024

Cyanide assays are required for the analyses of industrial, environmental, food and clinical samples. Enzymatic methods are not widely used in this field despite their selectivity and other promising properties. Therefore, we present here a proof of concept for a new enzymatic assay of free cyanide (fCN) which consists of HCN and CN- at a pH dependent ratio. The assay is based on the transformation of HCN into the readily detectable NADH. The reaction is catalyzed by a multienzyme cascade consisting of cyanide hydratase, formamidase and formate dehydrogenase. The last step is a spectrophometric quantification of NADH with a tetrazolium salt, WST-8. The new assay offers selectivity (with the exception of formic acid interference) and mild operational conditions; in addition, fCN is detoxified during the reaction. The assay has been miniaturized to a microtiter plate format, making consumption of enzymes and chemicals very low. The limit of detection (LOD) and the limit of quantification (LOQ) were calculated to be 9.1 µM fCN and 27.6 µM fCN, respectively. An analogous assay without CynH can be used for the determination of formamide with LOD and LOQ of 7.0 µM and 21.4 µM, respectively. Further measures to improve sensitivity are possible.
Enhancing Organic Photodetector Performance Based on PBDB-T/ITIC and GO: A SCAPS-1D Simulation Study
Authors: Alali Ahmet Sait , Oduncuoglu Murat
Published: July 2024

This study investigates the optimization of organic photodetectors (OPDs) using SCAPS-1D simulation, focusing on the effects of layer thickness, doping density, temperature, external quantum efficiency (EQE), and responsivity on key performance metrics. The device structure includes PBDB-T/ITIC as the active layer and graphene oxide (GO) as the hole transport layer (HTL). By systematically varying the thickness of the PBDB-T/ITIC active layer and the GO hole transport layer, as well as adjusting the donor and acceptor densities, we analyze their impact on open-circuit voltage (Voc), short-circuit current density (Jsc), fill factor (FF), power conversion efficiency (η), EQE, and responsivity. The simulation results reveal that an optimal active layer thickness of 800 nm for PBDB-T/ITIC and a GO layer thickness of 50 nm maximize device performance. Additionally, a donor density of \({9\times 10}^{19}{cm}^{-3}\) for PFN and an acceptor density of \({10}^{20}{cm}^{-3}\) for GO significantly enhance efficiency. The photodetector demonstrates a high current under illumination, peaking responsivity around 920 nm, and excellent performance in the visible spectrum. Temperature variations show optimal performance around 330 K. These findings highlight the critical role of precise material and structural optimization in achieving high-efficiency OPDs, providing valuable insights for future research and development in this field.
Nemabiome metabarcoding to assess the diversity of trichostrongyle nematodes in plains bison from the mid-western USA
Authors: Chelladurai Jeba R. J. Jesudoss , Johnson William L. , Quintana Theresa A. , Nilaweera Guwin Weerawarna , Wolfe Hayden , Wehus-Tow Bradly , Brennan Jameson , Krus Catherine B. , Buttke Danielle , Herrin Brian H. , Martin Jeff M.
Published: July 2024

Background
Parasitic gastrointestinal nematode (GIN) infections in North American plains bison, predominated by trichostrongyles of Clade V, are a major cause of health and production losses, even death. The diversity and distribution of trichostrongyles in bison in the USA remains poorly understood. The aim of this study was to assess the diversity of GIN in plains bison and to identify key species to target for parasite control strategies in bison herds.
Methods
We used the “nemabiome” deep amplicon sequencing technique to amplify the ITS2 region from DNA derived from trichostrongyle third-stage larvae obtained by coproculture of the feces of 134 individual bison belonging to 16 herds from 8 mid-western states in the USA. ITS2 amplicons were library prepped and sequenced on an Illumina MiSeq. Anthelmintic usage history in the herds was unknown. Sequencing data was analysed using the DADA2 pipeline and diversity metrics were calculated.
Results
Analysis revealed 269 amplified sequence variants (ASVs), belonging to 5 genera and 9 species. A significant proportion of individual bison and herds had multiple infections with ≥ 2 trichostrongyle infections. Cooperia oncophora, Ostertagia ostertagi and Haemonchus placei were the most abundant species. Individual bison harbored an average of three trichostrongyle species, while herds harbored an average of 4.5 species. In a majority of individuals and herds, Shannon alpha diversity index was < 1, indicating lower species abundance and richness, while inverse Simpson index was between 1–3 indicating moderate species diversity.
Conclusion
There was variation in parasite diversity within and between individual bison and herds. This is the first study to utilize the “nemabiome” technique in plains bison herds living in the USA and results of this investigation reveal the importance of understanding key species to target for parasite control strategies.
Enhancing Cloud Network Security with Innovative Time Series Analysis
Authors: Al-Musawi Bahaa , ALMAZRAWE AMER
Published: July 2024

Cloud computing has revolutionized computing infrastructure abstraction and utilisation, characterized by its cost-effective and high-quality services. However, the challenge of securing cloud networks persists, primarily due to the extensive exchange of data and the inherent complexity of these systems. Anomaly detection emerges as a promising solution to enhance cloud network security, offering insights into system behaviour and alerting operators for further actions. This paper presents a novel time series analysis technique for detecting anomalies in cloud networks. Our approach utilises a multi-dimensional matrix profile, an innovative time series analysis method, to highlight anomalous patterns within multiple features extracted from network traffic streams. Additionally, we employ the Kneedle algorithm to pinpoint the highlighted patterns that identify anomalies. To evaluate the effectiveness of our method, we implemented timestamp-based and index-based methods to two distinct datasets: the most widely used UNSW-NB15 and the recently introduced CICIoT2023 datasets. The results highlight the efficacy of our proposed method in identifying cloud network anomalies. It achieved an impressive accuracy of 99.6% and an F1-score of 99.8% using the timestamp-based analysis method. For the index-based analysis method, the accuracy reached 98%, accompanied by an outstanding F1-score of 99.9%.
Targeted delivery of TGF-β mRNA to lung parenchyma using one-component ionizable amphiphilic Janus Dendrimers.
Authors: Atochina-Vasserman Elena , Meshanni Jaclynn , Stevenson Emily , Zhang Dapeng , Sun Rachel , Ona Nathan , Reagan Erin , Abramova Elena , Guo Chang-Jiang , Wilkinson Melissa , Baboo Ishana , Yang Yuzi , Pan Liuyan , Maurya Devendra , Percec Virgil , Li Yongsheng , Gow Andrew , Weissman Drew
Published: July 2024

Current clinical strategies for the delivery of pulmonary therapeutics to the lung are primarily targeted to the upper portions of the airways. However, targeted delivery to the lower regions of the lung is necessary for the treatment of parenchymal lung injury and disease. Here, we have developed an mRNA therapeutic for the lower lung using one-component Ionizable Amphiphilic Janus Dendrimers (IAJDs) as a delivery vehicle. We deliver an anti-inflammatory cytokine mRNA, transforming growth factor-beta (TGF-β), to produce transient protein expression in the lower regions of the lung. This study highlights IAJD’s potential for precise, effective, and safe delivery of TGF-β mRNA to the lung. This delivery system offers a promising approach for targeting therapeutics to the specific tissues, a strategy necessary to fill the current clinical gap in treating parenchymal lung injury and disease.
Oral management is positively associated with reduced antibiotic and narcotic use and in-hospital mortality in patients undergoing allogeneic HSCT: a retrospective observational study at a Japanese acute hospital
Authors: Moriwaki Mutsuko , Toba Mikayo , Takizawa Makiko , Shimizu Hiroaki , Tanaka Haruna , Takahashi Chihiro , Imai Shinobu , Kakehashi Msayuki , Fushimi Kiyohide
Published: July 2024

Background: Oral bacteria play a significant role in the development of bloodstream infections in patients undergoing hematopoietic stem cell transplantation (HSCT). Therefore, recommendations are being made to manage oral function before and after transplantation. This study aimed to elucidate the short-term effects and assess the influence of a medical care delivery system on oral management.
Methods:This study focused on patients aged 16 years or older who underwent HSCT and were discharged from acute care hospitals in Japan between April 2018 and March 2022. The patients were categorized into autologous and allogeneic HSCT groups for analysis. Multivariate analysis was conducted to determine the impact of oral management on the use of antibiotics and narcotics injections within 14- and 30-days post-transplantation and mortality rates. Additionally, we investigated the association between the implementation of oral management at each hospital and the underlying medical care delivery systems.
Results:The analysis encompassed 14,031 patients, with the final cohort comprising 5,936 autologous and 6,312 allogeneic HSCT patients across 298 hospitals. The total amount of antibiotics utilized within 14 days post-transplant demonstrated a coefficient of Β=-2.66, whereas it demonstrated a coefficient of Β=-6.74 within 30 days post-transplantation. Moreover, the number of broad-spectrum antibiotics administered within 30 days post-transplantation exhibited a coefficient of Β=-2.79, and within 14 days post-transplantation displayed a coefficient of Β=-0.34. The use of narcotics within 30 days post-transplantation yielded a coefficient of B=-0.70. Oral management also affected in-hospital mortality. Conversely, no significant outcomes were observed after autologous HSCT. The medical care delivery system that influenced the management implementation rate in hospitals was the certification standard for performing unrelated HSCT.
Conclusion:Maintaining optimal oral hygiene in patients undergoing HSCT, pre- and post-transplantation, is crucial for preventing infections, improving prognosis, and alleviating discomfort. Establishing a collaborative medical care delivery system, wherein dental and medical teams work together, is imperative to ensure that patients undergoing HSCT receive safe, tailored, and superior medical care.
Ex vivo T-lymphopoiesis assays assisting corrective treatment choice for genetically undefined T- lymphocytopaenia
Authors: Golwala Zainab M. , Goncalves Helena Spiridou , Moirangthem Ranjita Devi , Evans Grace , Lizot Sabrina , Koning Coco , Garrigue Alexandrine , Corredera Marta Martin , Howley Evey , Kricke Susanne , Awuah Arnold , Obiri-Yeboa Irene , Rai Rajeev , Sebire Neil , Bernard Fanette , Braem Victoria Bordon Cueto , Boztug Kaan , Cole Theresa , Gennery Andrew R. , Hackett Scott , Holm Mette , Kusters Maaike A. , Klocperk Adam , Marzollo Antonio , Marcus Nufar , Schmid Jana Pachlopnik , Pichler Herbert , Sellmer Anna , Soler-Palacin Pere , Soomann Maarja , Montfrans Joris , Nierkens Stefan , Adams Stuart , Buckland Matthew , Gilmour Kimberly , Worth Austen , Thrasher Adrian J. , Davies E. Graham , André Isabelle , Kreins Alexandra Y.
Published: July 2024

Newborn screening for severe combined immunodeficiency promotes early diagnosis and timely treatment, improving clinical outcomes. Selective T-lymphocytopaenia is found both in haematopoietic cell-intrinsic and thymic stromal cell-intrinsic defects, including congenital athymia which is associated with a T-B + NK + immunophenotype. Without a molecular diagnosis, it is challenging to determine whether haematopoietic cell transplantation (HCT) or thymus transplantation ought to be performed. Ex vivo T-lymphocyte differentiation assays have been proposed to assist clinical decision-making for genetically undefined T-lymphocytopaenic patients by assessing the intrinsic potential of their haematopoietic progenitors to differentiate into mature T-lymphocytes. We investigated 18 T-lymphocytopaenic patients, including 12 patients awaiting first-line treatment and 6 patients with failed immune reconstitution after previous HCT or thymus transplantation. Whilst early developmental blocks in ex vivo T-lymphopoiesis indicated haematopoietic cell-intrinsic defects, successful differentiation of mature T-lymphocytes required careful interpretation, in conjugation with clinical status and presentation, immunophenotyping, and available genetic investigations. 5 patients were referred for HCT and 12 for thymus transplantation. 12/18 patients proceeded to treatment with successful immune reconstitution in 4/5 patients after HCT and 4/7 after thymus transplantation, the latter including two patients previously treated with HCT. Two treated patients died, either after HCT or after thymus transplantation, due to pre-existing complications, and two patients have yet to show immune reconstitution seven months and one year after thymus transplantation respectively. Overall, we conclude that including ex vivo T-lymphocyte differentiation assays in the diagnostic pathway for genetically undefined T-lymphocytopaenia improves patient outcomes by facilitating corrective treatment choice between HCT and thymus transplantation.
Effects of High-Order Nonlinearities on Phononic Frequency Combs
Authors: Ganesan Adarsh , Tiwari Priya
Published: July 2024

Phononic frequency combs (PFC) hold promise for bringing the utility of celebrated optical frequency combs into the domain of phonons. The interactions of multiple phonon modes in a nonlinear medium result in the generation of PFC. Previous work established the existence conditions of PFC for two-modal interactions via quadratic nonlinearity. However, in real situations, higher-order nonlinearities could also play a role in comb generation. To this end, this work derives multiple analytical expressions to quantify the effects of high-order nonlinearities on PFC and their existence boundaries. The odd-order nonlinearities affect the amplitude parameters of existence boundary curve and the even-order nonlinearities modulate the frequency parameters. The frequency and amplitude parameters of existence boundary curve are analytically derived and the effects of high-order nonlinearities on the existence boundaries of PFC are quantified for a published experimental case.
‘It's About Collaboration’: A Whole-Systems Approach to Understanding and Promoting Movement in Suffolk
Authors: Brinkley A. J. , Cusimano K. M. , Freeman P. , Southall-Edwards R. , Gladwell V. F.
Published: July 2024

Background:
Population-levels of physical activity have remained stagnant for years. Previous approaches to modify behaviour have broadly neglected the importance of whole-systems approaches. Our research aimed to (i) understand, (ii) map, (iii) identify the leverage points, and (iv) develop solutions surrounding participation in physical activity across an English rural county.
Methods:
A systems-consortium of partners from regional and local government, charities, providers, deliverers, advocacy groups, and health and social care, and public health engaged in our research, which consisted of two-phases. Within Phase 1, we used secondary data, insight-work, a scoping review, participatory workshops, and interviews in a pluralistic style to map the system-representing physical activity. Phase 2 began with an initial analysis using markers from social network analysis and the Action Scales Model. This analysis informed a participatory workshop, to identify leverage points, and develop solutions for change within the county.
Findings:
The systems-map is constructed from biological, financial, and psychological individual factors, interpersonal factors, systems partners, built, natural and social environmental factors, and policy and structural determinants. Our initial analysis found 13 leverage points to review within our participatory workshop. When appraised by the group, (i) local governing policies, (ii) shared policies, strategies, vision, and working relationships, (iii) shared facilities (school, sport, community, recreation), and (iv) funding were deemed most important to change. Within group discussions, participants stressed the importance and challenges associated with shared working relationships, a collective vision, and strategy, the role of funding, and management of resources. Actions to leverage change included raising awareness with partners beyond the system, sharing policies, resources, insight, evidence, and capacity, and collaborating to co-produce a collective vision and strategy.
Conclusions:
Our findings highlight the importance and provide insight into the early phase of a whole-systems approach to promoting physical activity. Our whole-systems approach within Suffolk needs to consider methods to (i) grow and maintain the systems-consortium, (ii) create a sustainable means to map the system and identify leverage points within it, and (iii) monitor and evaluate change.
Manfred Peter Hein, Jg. 1931
Authors: Kelletat Andreas F.
Published: July 2024

Der Schriftsteller Manfred Peter Hein (geb. 1931) hat sich auch als Übersetzer, Nachdichter, Essayist, Herausgeber und komparatistisch arbeitender Literaturwissenschaftler einen Namen gemacht. Sein Engagement galt primär den "kleinen" Literaturen Nordosteuropas, insbesondere der finnischen.
Fritz Heymann : Auswahlbibliographie
Authors: Kelletat Andreas F.
Published: July 2024

Alle Titel dieser Bibliographie wurden autoptisch überprüft.
Biomass Carbon and Nitrogen Content of Hardwoods in Novi Pazar (Serbia)
Authors: Hadrović Sabahudin , Braunović Sonja , Ćirković-Mitrović Tatjana , Eremija Saša , Lučić Aleksandar , Rakonjac Ljubinko , Jovanović Filip
Published: July 2024

To investigate and compare hardwood species based on their carbon (C) and nitrogen (N) storage capacity, a study of the C and N content of the bark and wood of nine common hardwood broadleaves in Novi Pazar, southwestern Serbia, was conducted. Compared with sycamore maple, Norway maple, common ash, common hornbeam, black locust, European beech, Turkey oak, and sessile oak, field maple has the highest C/N ratio in wood (37.05 ± 3.23), representing the best hardwood species for biomass production.
Wax Patterns, Textural Properties, and Quality Attributes of Two Eggplant (Solanum melongena L.) Cultivars during Storage
Authors: Yan Zhengnan , Liang Yan , Li Zhixin , Lin Duo , Dou Haijie , Li Nan , Yang Yanjie
Published: July 2024

Two eggplant cultivars (Brigitte and Dalong) were stored under ambient conditions for 8 days to examine the postharvest quality and shelf life. Results indicated that the respiration rate, firmness and springiness, and nutritional quality of both eggplant cultivars decreased with the extension of shelf life. On the contrary, opposite trends were observed in weight loss, gumminess, and chewiness of eggplant fruits. In addition, the weight loss of ‘Brigitte’ eggplant fruits was 3.3% and 6.9% lower compared with ‘Dalong’ eggplant fruits at 4 and 8 days after storage. Thicknesses of epidermal cells and the stratum corneum, the epicuticular wax content of ‘Brigitte eggplant fruits increased by 42.9%, 766.7%, and 58.8% compared with ‘Dalong’ eggplant fruits, respectively, with a concomitant increase in the dense wax layer structure. In conclusion, the storage tolerance of ‘Brigitte’ eggplant fruits was higher than that of ‘Dalong’ eggplant fruits due to the higher epicuticular wax content and dense wax layer structure.
The Effects of Couple Checkups for Dating Couples
Authors: Park Woochul , Jeon Bo young , Kang Hyeseong
Published: July 2024

Objectives: This study investigates the applicability of marriage checkups for dating couples and evaluates its effectiveness. Methods: Employing a single-case, multiple-baseline design, four couples participated in a couple checkup, comprising assessment and feedback sessions. Statistical and visual analyses were conducted to assess the impact of the checkup, supplemented by qualitative interviews to capture participant experiences. Results: Results indicate positive changes in couples' understanding of their relationships, understanding of strategies for improvement, self-efficacy, motivation for change, and overall relationship satisfaction. Participants reported high levels of satisfaction with checkup　participation. Conclusions: These findings indicate that couple checkups might serve as a beneficial tool for unmarried dating couples, offering valuable support as they navigate the early stages of romantic relationships.
Nexus between investor returns of Nigerian deposit money banks and integrated reporting with the moderating role of profit after tax
Authors: Olubukola Otekunrin Adegbola , Ayodeji Owolabi Babatunde , Janet Owolabi Oluwasikemi , Lydia Emmanuel Yinka
Published: July 2024

Integrating reporting strives to address issues with corporate reporting procedures and hold businesses responsible for their local surroundings, as well as additional stakeholders impacted by their operations in producing returns for investors. This study employed Nigerian deposit money banks to examine whether investor returns with profit after tax and integrated reporting are statistically and significantly related. Ex post facto research methodology was applied. Purposive sampling was used to sample ten Nigerian deposit money banks. Data were taken from the annual reports of the chosen banks. The international integrated reporting framework of 2021 checklist was utilized to extract integrated reporting data using the unweighted content analysis method. The integrated reporting disclosure index was used as a proxy for integrated reporting. Market price per share, dividend per share, and price-earnings ratio were used as proxies for investor returns. Profit after tax was used as a moderating variable. The results indicate that with the moderating variable, which is Profit after tax, integrated reporting and price-earnings ratio are related to coefficients of 9.9585. Integrated reporting and dividend per share are related to coefficients of 3.151612. Integrated reporting and market price per share are related to coefficients of 36.7535. Dividend per share and integrated reporting disclosure are significantly related to p-values of 0.001. Market price per share and integrated reporting disclosure are significantly related to p-values of 0.002. This study concluded that integrated reporting and investor returns are statistically and significantly related to the moderating role of Profit after tax of Nigerian deposit money banks.
AcknowledgmentThe involvement of those who helped make this study successful is acknowledged below. We appreciate your involvement.
Overview of Text Based Personality Prediction Using Deep Learning
Authors: Kelvin Kelvin , Utomo Yesun
Published: July 2024

Text-Based Personality Prediction (TBPP) has garnered increasing attention in recent years, particularly within the frameworks of the Myers-Briggs Type Indicator and the Big Five Personality Model. This study presents a comprehensive systematic review of TBPP methodologies, focusing specifically on research published since 2017. Leveraging Google Scholar, a meticulous selection process was employed to identify and analyze papers meeting relevance criteria. The selected studies were analyzed for research design, data collection methods, preprocessing techniques, and modeling approaches. Notably, the study identifies prevalent Natural Language Processing methods utilized in TBPP, such as Recurrent Neural Networks, Convolutional Neural Networks, Long Short-Term Memory networks, ensemble methods, and pre-trained models like BERT. Results indicate that combining knowledge graphs with Bi-LSTM models achieved the highest accuracy for Big Five traits at 71.5%, while a BERT-CNN-RNN ensemble reached 85% accuracy for MBTI. The synthesized findings offer valuable insights into the current landscape of TBPP, with the aim of informing both researchers and practitioners. Furthermore, the study provides recommendations for future research directions, emphasizing the importance of refining methodologies and addressing challenges to foster continued innovation in personality prediction within the TBPP domain.
Opportunity and Challenges in UX Design for E-Commerce Website
Authors: Suadamara Rein
Published: July 2024

The study of this research focuses on a review approach based on the information collected on the opportunities and challenges in user experience (UX) design for e-commerce websites. The foundation of the study is based on the global expansion of e-commerce which demonstrated the people’s acceptance of e-commerce. Recognizing where there is room for improvements in the UX design is therefore critical. Overcoming the challenges is also important to create the best UX design that answers the user’s need for an e-commerce website. Understanding what users need through the user experience may determine the success of the companies’ e-commerce website, as UX and e-commerce reviews have a very strong correlation. Understanding the main reason that brings customers to make their purchases in an online market is important.  Experiencing a good user experience may lead to customer satisfaction and loyalty, which motivates them to return and make more purchases, as well as to recommend the website to other customers. Companies should make sufficient investments in UX noting that a successful e-commerce website highly depends on a positive UX. Examining earlier well-known research studies of UX design for e-commerce websites is the aim of this study, which will serve as a basis for further extensive research into this topic. Using the review approach, the study determined and evaluated the opportunities and challenges of UX design to improve user satisfaction to increase sales on e-commerce websites. Improving the user experience and user satisfaction will lead the customer to be more motivated in making orders and purchases. Having awareness on the website’s aspects that could have a negative impact to customers may improve the companies’ business process. Hence, research to improve the e-commerce website is key to providing users with a better online purchasing experience. The practical implication of this research is expected to serve as a guide for the development of e-commerce strategies. The findings are expected to enhance the efficacy of the e-commerce website as well as user satisfaction.
Combating Hoax and Misinformation in Indonesia Using Machine Learning What is Missing and Future Directions
Authors: Sekarhati Dwinanda Kinanti Suci
Published: July 2024

According to survey from several organizations in Indonesia to 10.000 respondents with age range from 13-70 years at 2022 and 2023, 56% respondents are mainly found hoax and misinformation on social media and online media platform with 45% respondents are hesitant with their ability to differentiate true information with hoax.  Most of the hoax and false information researchers in Indonesia also still have some challenges such as on the dataset detection method. This research will use the systematic literature review using PICOC, inclusion-exclusion rules, and quality’s checklist. The results based on 20 papers are data crawler’s application usage, labelling, and text pre-processing are the major steps to improve the dataset with more than 10.000 data.   There are also already some advance methodologies for hoax and misinformation detection in text form such as graph-based learning and special architecture design, yet there’s still a little number for the detection in media form. The recommendation includes the dataset improvement steps, literature, and methodologies in media form.
Enhancing Computer Science Education Through Electronic Team-Based Learning: A Hybrid Approach to Collaborative Learning
Authors: Makalew Brilly Andro , Pardamean Bens
Published: July 2024

This paper explores the implementation of electronic Team-Based Learning (e-TBL) as a hybrid educational solution, combining traditional TBL methodologies with electronic platforms to enhance collaborative learning experiences. The study aims to assess the effectiveness of e-TBL in improving knowledge acquisition, teamwork skills, and overall academic performance among computer science students. The research was conducted in five phases, including preparation, experimentation, and evaluation, with a focus on developing an e-learning application integrated with Moodle. The results indicated significant improvements in student motivation, engagement, and academic achievement. The study concludes with recommendations for integrating e-TBL in various educational settings, highlighting its adaptability and potential for enhancing learning outcomes in both traditional and online environments.
Criminal law counteraction to violent attacks on police in China
Authors: Pang Dongmei ,   Henan University, Su Pengzhan ,   Henan University
Published: July 2024

In recent years, violent attacks on the police have become more frequent in China, which not only prevents the People’s police from performing their duties, but also seriously threatens their personal rights and interests. In this regard, there was a call in the academic circles of China to single out an attack on the police as a separate crime. Amendments to the Criminal Code of the People’s Republic of China purposefully responded to this call by separating a violent attack on the police from the composition of “obstruction of the performance of official duties” and forming a separate corpus delicti — “attack on the police”. The composition of an attack on the police has been widely used in judicial practice since it was established separately in the Criminal Code of the People’s Republic of China and officially put into effect, which really had a certain deterrent effect on crimes against police officers: on the one hand, it effectively guarantees the uninterrupted performance of police duties and activities; on the other hand, it also strengthens the authority of the law enforcement activities of the police and at the same time protects the personal rights and interests of police officers. However, a large amount of judicial practice shows that there are many ambiguities in the judicial application of this corpus delicti, reflected mainly in the understanding of “violent attack” and “people’s police”, the use of related crimes. When solving these problems, first of all, the connotation of “violent attack” should include direct and indirect violence against a person, and may also include violence against things affecting the smooth performance of duties, but should not include simple violence against things and mild violence. Secondly, in the understanding of the “people’s police”, it should be based on a position of compromise, and it should be recognized that police officers without official approval and police assistants can also become the subject of the crime of “attacking the police”. Thirdly, in specific judicial practice, the problems of applying the elements of crimes, such as “assault on the police” “obstruction of the performance of official duties” “intentional injury to health” and “murder” are reasonably resolved in accordance with the rules of competition of norms or ideal totality for the purpose of scientific and rational application of the crime in question.
Legal protection of a citizen’s right to a facial image when applying facial recognition technology in Chinese law
Authors: Jia Shaoxue ,   Shanghai University of Political Science and Law, Zhang Jingxin ,   Shanghai University of Political Science and Law
Published: July 2024

In the era of the rapid development of big data, facial recognition biometric technology, which identifies and confirms the identity of persons by their face, is gradually becoming an object of public attention. Developing facial recognition technology has become an indispensable means of collecting information for government and commercial organizations. Facial recognition technology can be used to quickly identify individuals and improve efficiency and accuracy. However, there are two sides to everything, and the widespread use of facial recognition technology has affected the traditional system of protecting the citizen’s right to a facial image, and the relevant laws should be improved in connection with the leakage and misuse of facial images. Only under the double safeguard, both the advancement of facial recognition technology and the improvement of laws can further protect the citizen’s right to a facial image. This article analyzes the use of facial recognition technology and the risks associated with it, explains the legislative framework and its shortcomings in China, and makes appropriate proposals for further protection of the generated facial image information in facial recognition technology.
Legal status of the operator of e-commerce platform in China
Authors: Alekseenko Aleksandr P. ,   St. Petersburg State University
Published: July 2024

In Russia, Issues of antitrust regulation of digital platforms’ (aggregators) activities, resolving of intra-platform disputes, and the responsibility of digital platforms’ operators (aggregator owners) before suppliers and buyers have become topical in Russia. In this regard, it is important to study the legal status of digital platform operators and, based on the analysis of foreign law, propose solutions that will improve Russian legislation. China is one of the world leaders in the sphere of digitalization and has extensive experience in regulating activities of digital platform operators. Basing on the method comparative legal analysis, as well as dogmatic interpretation, this paper scrutinizes legislation of Russia and China on digital platforms. The study finds key features of a digital platform including internal rules and software that allows the conclusion and execution of contracts and the interaction of sellers and buyers. Also, this paper provides a classification of types of digital platforms and observes rights and responsibilities of digital platform operators. The main attention is paid to the examination of the legal status of the operator of the e-commerce platform. For this purpose, the study analyzes the PRC Law “On Electronic Commerce” and the existing judicial practice on its application. The paper argues that in China, the operator of an e-commerce platform is a special market entity, endowed with administrative powers in relation to intra-platform business and bearing responsibilities that include informing sellers, buyers and government agencies, establishing an infrastructure for resolving disputes, protecting owners of intellectual property rights, ensuring the safety and quality of goods and services sold, maintaining the sustainable functioning of the platform. At the conclusion this paper proposes the ways of modernization of Russian legislation.
A review: The state-of-the-art of arsenic removal in wastewater
Authors: Hamid Nur Hafizah Ab , Rushdan Ahmad Ilyas , Nordin Abu Hassan , Faiz Norrrahim Mohd Nor , Muhamad Siti Nur Husna , Tahir Muhamad Iqbal Hakim Mohd , Rosli Nur Sara Batrishia , Pakrudin Nurin Hudanie Mohd , Roslee Azreen Syafiqah , Asyraf Muhammad Rizal Muhammad , Knight Victor Feizal
Published: July 2024

Arsenic contamination resulted from the rapid development of various industries affecting the water resource quality worldwide. Because of the risk of arsenic exposure to both the environment and humans, specific arsenic wastewater treatment is required to meet the anticipated water quality standards. A better understanding of current technologies is crucial while addressing the limitations in order to develop more effective methods for arsenic removal. This work presents updates on adsorption by metal nanoparticles, electrocoagulation, photocatalysis, and membrane methods including nanofiltration, ultrafiltration, reverse osmosis, and microfiltration, their advantages and limitations as well as the future direction of the wastewater treatment industry. Recent strategies using combination technologies show promising potential and present windows of opportunity to be tested in real life and large scale. Further research on these technologies is still required to assess the full potential of these technologies for arsenic removal able to shift the paradigm towards sustainability of tomorrow.
Towards a modelling framework for nature-based solutions in wastewater treatment
Authors: Dehghani Tafti Alireza , Houweling Dwight , Perron Jean-Michel , Bencsik Daniel , Johnson Tom , Vanrolleghem Peter A. , Comeau Yves
Published: July 2024

This article presents the authors’ perspectives on modelling best practices for nature-based solutions (NBS). The authors led a workshop on NBS modelling as part of the 8th IWA Water Resource Recovery Modelling Seminar (WRRmod2022+) in January 2023, where the discussion centred around the design, use cases, and potential applications of NBS models. Four real-world case studies, encompassing an aerated lagoon, a biofilm-enhanced aerated lagoon, a stormwater basin, and a constructed wetland were reviewed to demonstrate practical applications and challenges in modelling NBS systems. The initial proposed modelling framework was derived from these case studies and encompassed eight sub-models used for these NBS types. The framework was subsequently extended to include eight additional NBS categories, requiring a total of 10 sub-models. In a subsequent step, with a different perspective, the framework was refined to focus on 13 primary use cases of NBS, identifying 10 sub-models needed or potentially required for these specific NBS applications. These frameworks help to identify the necessary sub-models for the NBS system at hand or the use case. This article also discusses the benefits and challenges of applying water resource recovery modelling best practices to NBS, along with recommendations for future research in this area.
Cuproptosis: Mechanism and Application in Lymphoma
Authors: Wang Yubo , Yin Fengyue , Jin Quanyi , Liu Chen , Qi Zhongquan , Chen Dengyue , Luo Yiming
Published: July 2024

The cell death field has profited from the increasing attention of the scientific community and has been shown to lie at the very basis of cancer initiation and progression. Cuproptosis is a
recently proposed method of cell death in 2022, and it is different from any previously reported
method. The principle is that copper ions lead to aggregation and instability of intracellular proteins. An increasing number of researchers are dedicated to enriching the mechanism of cuproptosis and exploring its relationship with cancer. Studies have found that intracellular copper levels
have an impact on the occurrence and development of lymphoma. The complexity of lymphoma
and the limitations of treatment necessitate in-depth studies of the disease. We will review the
mechanism of cuproptosis and its potential in lymphoma therapy.
Current Perspective and Treatment Strategies in Targeted Therapy for Colorectal Cancer
Authors: Maurya Pramod Kumar , Mani Ashutosh
Published: July 2024

:

Colorectal cancer (CRC) is the third most commonly occurring cancer and the second
leading cause of cancer-related deaths worldwide. Conventional treatments for CRC, such as
surgery, chemotherapy, and radiotherapy, have long been the primary options for patients. However,
their therapeutic success rates are relatively low, necessitating the development of novel
technologies. The prognosis for metastatic CRC patients has historically been unsatisfactory.
Recent efforts have focused on advancing our understanding of CRC progression, leading to improvements
in CRC management and the identification of key regulatory genes involved in colorectal
cancer. The complex interaction between the tumor microenvironment and CRC progression
has unveiled new immunotherapy targets, including immune checkpoint inhibitors and CAR
T-cell-based therapies. Additionally, novel approaches targeting cell signaling pathways that
promote cell proliferation and metastasis in CRC show great potential for improving patient outcomes.
This article explores and summarizes the epidemiology, carcinogenesis, and stages of
CRC, as well as current treatment strategies and drug targets. It highlights the molecular mechanisms
underlying tumorigenesis and progression in colorectal cancer.
Review on the Treatment of Pancreatitis with Traditional Chinese
Medicine Targeting the Nrf2 Pathway
Authors: Zeng Chenzi , Fang Zhiju , Zhang Junhao , Ni Minghao , Li Feiwei , Wang Weiming , Zhou Xiang
Published: July 2024

Acute Pancreatitis (AP) is a ubiquitous inflammatory digestive system disease with a
high prevalence worldwide. Once it progresses to Severe Acute Pancreatitis (SAP), its mortality
can significantly increase. However, until now, there has been no clinical cure for AP, and the
treatment of patients has mostly been based on surgery and supportive care. This has become a
major medical problem. As for the pharmacological treatment of AP, various Chinese medicine
tonics and formulations have shown a surprising appeal in both clinical and scientific research.
Studies on AP pathogenesis have shown that physiological processes, such as oxidative stress
and inflammatory responses, play important roles in AP. The Nuclear factor E2-related factor 2
(Nrf2) signalling pathway is closely related to the antioxidant and anti-inflammatory properties
of the body and may be a promising therapeutic target for the treatment of AP. Therefore, this
review focuses on Chinese patent medicine that uses the Nrf2 pathway as a therapeutic target.
We list the current research and clinical treatment strategies for AP with the help of Chinese
medicine as a cornerstone for future studies. Some of our reflections and conclusions are presented
in this review, especially with a focus on the mechanism of action of therapeutic strategies.
Evaluación de la actividad física de habitantes de la localidad de Suba, en Bogotá, Colombia
Authors: Sánchez-Rodríguez Diego Alonso , Gutiérrez-Gómez Catalina , Muñoz-Salamanca Esteban , Ordoñez-Saavedra Néstor , Rodríguez-Buitrago Jeansy Alonso , Arias-Castaño Ana María , Gómez-Solano Julie Hortencia
Published: July 2024

Este capítulo examina los niveles de actividad física de habitantes de la localidad de Suba, en Bogotá, Colombia. Metodología: estudio descriptivo de tipo transversal, con cuestionario IPAQ. Población: 2000 personas (1048 hombres, 952 mujeres). La información se reúne a partir de datos antropométricos y análisis de la composición corporal. Resultados: se encontraron antecedentes de Enfermedades No Transmisibles (ENT) de hipertensión (19,6 %) y diabetes (26,7 %); así mismo, aumentan el riesgo de presentar enfermedades cardiovasculares debido al sobrepeso (17,25 %). Las actividades físicas se caracterizaron desde lo cotidiano, así como de tipo sedentario, desde los videojuegos al uso de tecnologías de tipología sedentaria. Se concluye que, aunque la actividad física en la localidad de Suba ha disminuido las ENT, se requiere de intervención para la población, en situación de discapacidad