Article
Oncology
Cristina Aguirre-Portoles, Riley Payne, Aspen Trautz, J. Kevin Foskett, Christopher A. Natale, John T. Seykora, Todd W. Ridky
Summary: Testosterone signaling through ZIP9 mediates some of the sex differences in melanoma, and drugs that target AR can be repurposed to block ZIP9 and inhibit melanoma in males.
Article
Endocrinology & Metabolism
Leigang Song, Huan Chen, Dan Qiao, Bohan Zhang, Fangzhen Guo, Yizhou Zhang, Chang Wang, Sha Li, Huixian Cui
Summary: Androgens regulate learning and memory in mice through ZIP9, which is mediated by the ERK1/2-eIF4E pathway. This study provides new experimental evidence for the improvement of learning and memory in Alzheimer's disease through androgen supplementation.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Biology
Viveka Nand Malviya, Ahmed Bulldan, Raffael Christoph Wende, Hassan Kabbesh, Marie-Louise Moeller, Peter Richard Schreiner, Georgios Scheiner-Bobis
Summary: This study identified a new membrane-bound androgen receptor, ZIP9, which may play a role in regulating certain physiological responses to androgens. Six tetrapeptides that could bind to the testosterone binding site of ZIP9 were synthesized and found to have pro-androgenic effects in bone cells and muscle cells. These tetrapeptides have the potential to be used as replacements for testosterone or testosterone analogs in the treatment of bone- or muscle-related disorders.
Article
Environmental Sciences
Gang Yu, Yabing Zhu, Chao Song, Liang Chen, Zeping Tang, Tianpeng Wu
Summary: A study on rats exposed to 2605 MHz RF-EMR found that short-term exposure did not cause significant damage to fertility but increased testosterone and ZIP9 levels in Sertoli cells. These results contribute to a better understanding of the time-dependent reproductive toxicity of 2605 MHz RF-EMR.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Endocrinology & Metabolism
Aubrey Converse, Heather Genuise, Teresa L. Bennett, Rebecca M. Butler, Peter Thomas
Summary: (English Summary: )
ZIP9 has been identified as a membrane androgen receptor that mediates androgen-induced apoptosis in vitro, but its physiological significance has been unclear. This study utilized ZIP9 knockout zebrafish to investigate the role of ZIP9-mediated apoptosis in vivo. The results demonstrate that ZIP9 is involved in post-ovulatory follicle breakdown and maintaining tissue remodeling and homeostasis in the ovary. The study also indicates a role for ZIP9-mediated androgen-induced apoptosis in vivo.
GENERAL AND COMPARATIVE ENDOCRINOLOGY
(2023)
Article
Biology
Hassan Kabbesh, Ahmed Bulldan, Lutz Konrad, Georgios Scheiner-Bobis
Summary: This study found that ZIP9 is the sole androgen receptor involved in the regulation of tight junction protein expression and tight junction formation at the blood-testis barrier, rather than the classical androgen receptor. This finding suggests that the involvement of ZIP9 should be considered in future studies dealing with the maintenance and protection of male fertility.
Article
Plant Sciences
Jaroslaw Wieczorek, Piotr Pawlicki, Marta Zarzycka, Laura Pardyak, Piotr Niedbala, Michal Duliban, Begum Yurdakok-Dikmen, Malgorzata Kotula-Balak
Summary: The importance and regulation of adrenal androgen production and signaling are not completely understood and are scarcely studied. This study aimed to evaluate the effect of LH signaling and Se2+ exposure on adrenal androgen signaling. It was found that LH signaling and Se2+ exposure led to decreased expression of AR, diverse changes in ZIP9 expression, and altered testosterone and zinc levels in the adrenal cortex.
Article
Fisheries
Elia Ciani, Kristine von Krogh, Rasoul Nourizadeh-Lillabadi, Ian Mayer, Romain Fontaine, Finn-Arne Weltzien
Summary: This study investigated the timing of sexual maturation in male Atlantic salmon, showing that some individuals matured in spring at one year of age, while others initiated maturation in autumn at six months old, earlier than previously reported. Different patterns of hormone levels and gene expression were observed between one-year old maturing males and under-yearling maturing males, highlighting the plasticity of Atlantic salmon puberty.
Review
Biochemistry & Molecular Biology
Jitka Veldema
Summary: A better understanding of interindividual differences and the development of targeted therapies is a major challenge in modern medicine, and the sex of a person plays a crucial role in this. This systematic review aimed to summarize and analyze the evidence on the interactions between non-invasive brain stimulation and sex/polypeptide hormones. The results showed reciprocal interactions between sex and/or polypeptide hormones and non-invasive brain stimulation methods, which can be used to create more effective and individualized approaches for healthy individuals and individuals with disabilities.
Review
Urology & Nephrology
Ankit Desai, Musaab Yassin, Axel Cayetano, Tharu Tharakan, Channa N. Jayasena, Suks Minhas
Summary: The use of testosterone replacement therapy and anabolic-androgenic steroids has increased, posing challenges for infertility and hypogonadism patients. The recovery time for spermatogenesis after stopping these drugs is variable, and hormonal stimulation or assisted reproductive techniques may be required. Counselling and further research on the long-term effects of these agents are important considerations.
THERAPEUTIC ADVANCES IN UROLOGY
(2022)
Article
Mathematics, Applied
Shareef Ahmed, Shin-ichi Nakano, Md. Saidur Rahman
Summary: This article discusses the r-gather clustering problem and r-gathering problem when the customers and facilities are on a star, as well as the r-gathering problem when the customers and facilities are on a line with uncertain customer locations. The article proposes algorithms for these problems and proves their complexity.
DISCRETE MATHEMATICS ALGORITHMS AND APPLICATIONS
(2022)
Article
Computer Science, Cybernetics
Mustafizur Rahaman, Md Monsur Hillas, Jannatul Tuba, Jannatul Ferdous Ruma, Nahian Ahmed, Rashedur M. Rahman
Summary: This study conducted experiments on label noise in the training data of water body segmentation deep learning models, revealing that even just 50% salt and pepper noise may cause a significant 48.55% drop in scores. The results show that label noise has a pronounced impact on model performance in this context.
CYBERNETICS AND SYSTEMS
(2022)
Article
Computer Science, Cybernetics
Tahmid Hasan Pranto, Abdulla All Noman, Mustafizur Rahaman, A. K. M. Bahalul Haque, A. K. M. Najmul Islam, Rashedur M. Rahman
Summary: This study proposed a blockchain-based architecture for the e-commerce sector, utilizing data mining technology to detect fraudulent users and smart contracts for functionality management and enforcement. The results showed high accuracy and performance of the approach. Additionally, mechanisms were implemented to protect sellers from intentional defamation, including seller reputation mechanisms and authentic review maintenance.
CYBERNETICS AND SYSTEMS
(2022)
Article
Computer Science, Cybernetics
Zakaria Shams Siam, Rubyat Tasnuva Hasan, Rashedur M. Rahman
Summary: This study investigates the effects of label noise on machine learning models in predicting flood susceptibility and finds that hybridized ML models demonstrate greater efficacy in both cases.
CYBERNETICS AND SYSTEMS
(2022)
Article
Geosciences, Multidisciplinary
Rashed Uz Zzaman, Sara Nowreen, Irtesam Mahmud Khan, Md Rajibul Islam, Nabil Ibtehaz, M. Saifur Rahman, Anwar Zahid, Dilruba Farzana, Afroza Sharmin, M. Sohel Rahman
Summary: This study introduces a methodology utilizing machine learning to assess the suitability of groundwater extraction technologies in different regions of Bangladesh, highlighting key hydrogeological factors. The research demonstrates that the Random Forest algorithm is the optimal classification model, also identifying digital elevation model, specific yield, and lithology as the most influential factors on groundwater levels in Bangladesh.
NATURAL RESOURCES RESEARCH
(2022)
Article
Biology
Muhammad Ali Nayeem, Md. Shamsuzzoha Bayzid, Naser Anjum Samudro, M. Saifur Rahman, M. Sohel Rahman
Summary: This paper introduces the application of the PASTA method in multiple sequence alignment and proposes a multi-objective framework called PMAO to improve the performance of PASTA by integrating multiple objectives related to the accuracy of the phylogenetic tree. Experimental results show that the tree-space generated by PMAO is better than using PASTA alone, and adding an additional component can generate smaller and higher quality solutions.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2022)
Article
Mathematics, Applied
Md Manzurul Hasan, Shaheena Sultana, Md Saidur Rahman
Summary: This paper introduces a sliding column model for t-unit bar visibility representation and proves that graphs with maximum degree Delta can have t-unit bar visibility representation. Additionally, it demonstrates that planar graphs with maximum degree 3 and 3-connected cubic graphs can have unit bar visibility representation on specific numbers of columns.
DISCRETE MATHEMATICS ALGORITHMS AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Md Sazan Rahman, Sarah MacPherson, Abdolhamid Akbarzadeh, Alexandre Guerini, Julien Chapelat, Mark Lefsrud
Summary: In this study, a novel vegetation-covered bio-receptive porous concrete prototype was tested for its HVAC control capacity. The results showed that the vegetated porous concrete had the ability to heat, cool, humidify, and dehumidify, with passive dehumidification without external energy. This permeable building material has potential applications in green infrastructure and green wall systems.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Computer Science, Information Systems
A. A. Talha Talukder, Md Anisul Islam Mahmud, Arbiya Sultana, Tahmid Hasan Pranto, A. K. M. Bahalul Haque, Rashedur M. Rahman
Summary: Food delivery systems have become increasingly popular due to the expansion of internet connectivity and device availability. However, concerns arise regarding information security, deep discounting race between businesses, and strict policy enforcement. To address these issues, this paper proposes a blockchain and smart contract-based food delivery system aimed at eliminating commission schemes and reducing service delays caused by a high volume of orders.
JOURNAL OF INFORMATION AND TELECOMMUNICATION
(2022)
Article
Construction & Building Technology
Md Sazan Rahman, Sarah MacPherson, Mark Lefsrud
Summary: Greenhouse overheating is a major issue faced by dry climate agricultural setups during the summer. This study tested porous concrete as a novel evaporative cooling pad material, which showed the highest evaporative cooling capacity compared to conventional materials. The porous concrete demonstrated a cooling coefficient of 10.17 kW m-2 degrees C-1 and an evaporation rate of 5.84 g s-1.
BUILDING AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Mohammed Sarfaraz Gani Adnan, Zakaria Shams Siam, Irfat Kabir, Zobaidul Kabir, M. Razu Ahmed, Quazi K. Hassan, Rashedur M. Rahman, Ashraf Dewan
Summary: Many studies have been conducted globally on machine learning-based flood susceptibility modeling. These models produce reasonably accurate flood predictions, but there is uncertainty in the spatial predictions. This study presents a framework for reducing spatial disagreement among different machine learning models and improving prediction accuracy.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Md. Anisul Islam Mahmud, A. A. Talha Talukder, Arbiya Sultana, Kazi Iftesam Amin Bhuiyan, Md. Samiur Rahman, Tahmid Hasan Pranto, Rashedur M. Rahman
Summary: The growing popularity of online news has raised concerns about the socio-political influence on news dissemination, decreasing freedom of news media, and an easy news evaluation process. To address these challenges, this paper proposes a blockchain, smart contract, and incremental machine learning-based news evaluation procedure for the Bengali language. A weighted synthesis of machine classification and human expert opinion on a decentralized platform is used to evaluate news. The Natural Language Processing (NLP) model is incrementally trained with continuous data to detect unreliable fake news. Experimental results show an increase in accuracy from 84.94% and 84.99% to 93.75% and 93.80% after nine rounds of incremental model training. The protocols have been successfully implemented and tested on the Ethereum test network.
Article
Multidisciplinary Sciences
Md Mostafizur Rahman, Mohammad Sohelur Rahman, Md Harunor Rashid Khan, Selina Yeasmin
Summary: Humans are exposed to radiation from various sources, including medical applications. Improper handling of radiation equipment and sources can pose health risks to radiation workers and the public. A study conducted in Bangladesh found that radiation levels around major hospitals were higher than the global average, emphasizing the importance of radiation monitoring to minimize public radiation risk and maintain radiation-free hospital environments.
Article
Biochemical Research Methods
Muhammad Ali Nayeem, Naser Anjum Samudro, M. Saifur Rahman, M. Sohel Rahman
Summary: In this study, a framework called MAMMLE is proposed to infer better phylogenetic trees from unaligned sequences by hybridizing two MSA tools (MUSCLE and MAFFT) with multiobjective optimization strategy and multiple maximum likelihood hypotheses. Experimental results show that MAMMLE exhibits a median improvement of 5.57% over MUSCLE in 50.34% of instances.
JOURNAL OF COMPUTATIONAL BIOLOGY
(2023)
Article
Computer Science, Information Systems
Tahmid Hasan Pranto, Kazi Tamzid Akhter Md Hasib, Tahsinur Rahman, Akm Bahalul Haque, A. K. M. Najmul Islam, Rashedur M. Rahman
Summary: This study proposes a blockchain and smart contract-based approach to achieve robust machine learning algorithm for e-commerce fraud detection by facilitating inter-organizational collaboration. The proposed method uses blockchain to secure the privacy of the data and introduces an incentive mechanism to motivate organizations to provide collaborative data. The experiment shows the impact of data volume and difficulty level of the blockchain on mining time.