bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydraulic-based optimization algorithm for the design of stormwater drainage networks
Authors: Anwer Amira A. , Soliman Ahmed H. , Radwan Hany G. 
Published: May 2024

AbstractStormwater drainage networks are designed to reduce the risk of rainwater damage to the served area. The purpose of optimizing a stormwater drainage system is to reduce overall construction costs and to meet hydraulic design requirements. Currently, designs that rely on software or manual calculations are limited by the available time and the designer’s capabilities. In fact, manual optimization for large networks consumes a lot of time and effort, and there is no guarantee that the optimal design is reached, also it is subject to human errors. In recent years, several researchers have focused on creating optimization design algorithms specifically for sewer and storm networks, such as genetic algorithm (GA), linear programming (LP), heuristic programming (HP),…etc. However, these studies were limited to covering one or two design parameters and constraints. Additionally, in some studies, the hydraulic performance of the designed network was not treated in a proper way, especially the water surface profile effects. So, the main objective of the study is to develop an effective hydraulic-based optimization algorithm (HBOA) that can dynamically get the optimal design with minimum total cost for a given storm network layout and meet all hydraulic requirements. To achieve this, a MATLAB code is created and coupled with SewerGEMS software that automatically simulates all expected optimization scenarios based on network hydraulic performance. The HBOA is validated economically and hydraulically using two benchmark examples from the literature. According to the economic validation, the total network cost generated by HBOA was the lowest when compared to the optimization methods found in the literature. During the hydraulic evaluation, it was observed that the optimization algorithm (GA-HP) used in the literature for the benchmark examples does not meet the hydraulic requirements where the networks are flooded, whereas HBOA meets the hydraulic requirements with minimal overall network cost. Also, the HBOA is applied to four real stormwater drainage networks that were already designed, constructed, and optimized manually. The four redesigned real cases using HBOA revealed a cost reduction of about 15% compared to the original designs, while consuming a few hours for the design and optimization processes. Finally, the developed HBOA is a robust, time-efficient, and cost-effective optimization and hydraulic design tool which could be used in the design of stormwater drainage networks with different design constraints with minimal human interference.
Hyperspectral imaging with machine learning for in vivo skin carcinoma margin assessment: a preliminary study
Authors: Parasca Sorin Viorel , Calin Mihaela Antonina , Manea Dragos , Radvan Roxana 
Published: May 2024

AbstractSurgical excision is the most effective treatment of skin carcinomas (basal cell carcinoma or squamous cell carcinoma). Preoperative assessment of tumoral margins plays a decisive role for a successful result. The aim of this work was to evaluate the possibility that hyperspectral imaging could become a valuable tool in solving this problem. Hyperspectral images of 11 histologically diagnosed carcinomas (six basal cell carcinomas and five squamous cell carcinomas) were acquired prior clinical evaluation and surgical excision. The hyperspectral data were then analyzed using a newly developed method for delineating skin cancer tumor margins. This proposed method is based on a segmentation process of the hyperspectral images into regions with similar spectral and spatial features, followed by a machine learning-based data classification process resulting in the generation of classification maps illustrating tumor margins. The Spectral Angle Mapper classifier was used in the data classification process using approximately 37% of the segments as the training sample, the rest being used for testing. The receiver operating characteristic was used as the method for evaluating the performance of the proposed method and the area under the curve as a metric. The results revealed that the performance of the method was very good, with median AUC values of 0.8014 for SCCs, 0.8924 for BCCs, and 0.8930 for normal skin. With AUC values above 0.89 for all types of tissue, the method was considered to have performed very well. In conclusion, hyperspectral imaging can become an objective aid in the preoperative evaluation of carcinoma margins.
Homogeneous isosceles-free spaces
Authors: Bargetz Christian , Bartoš Adam , Kubiś Wiesław , Luggin Franz 
Published: May 2024

AbstractWe study homogeneity aspects of metric spaces in which all triples of distinct points admit pairwise different distances; such spaces are called isosceles-free. In particular, we characterize all homogeneous isosceles-free spaces up to isometry as vector spaces over the two-element field, endowed with an injective norm. Using isosceles-free decompositions, we provide bounds on the maximal number of distances in arbitrary homogeneous finite metric spaces.
New piperazine derivatives helvamides B–C from the marine-derived fungus Penicillium velutinum ZK-14 uncovered by OSMAC (One Strain Many Compounds) strategy
Authors: Borkunov Gleb V. , Leshchenko Elena V. , Berdyshev Dmitrii V. , Popov Roman S. , Chingizova Ekaterina A. , Shlyk Nadezhda P. , Gerasimenko Andrey V. , Kirichuk Natalya N. , Khudyakova Yuliya V. , Chausova Viktoria E. , Antonov Alexandr S. , Kalinovsky Anatoly I. , Chingizov Artur R. , Yurchenko Ekaterina A. , Isaeva Marina P. , Yurchenko Anton N. 
Published: May 2024

AbstractFour extracts of the marine-derived fungus Penicillium velutinum J.F.H. Beyma were obtained via metal ions stress conditions based on the OSMAC (One Strain Many Compounds) strategy. Using a combination of modern approaches such as LC/UV, LC/MS and bioactivity data analysis, as well as in silico calculations, influence metal stress factors to change metabolite profiles Penicillium velutinum were analyzed. From the ethyl acetate extract of the P. velutinum were isolated two new piperazine derivatives helvamides B (1) and C (2) together with known saroclazin A (3) (4S,5R,7S)-4,11-dihydroxy-guaia-1(2),9(10)-dien (4). Their structures were established based on spectroscopic methods. The absolute configuration of helvamide B (1) as 2R,5R was determined by a combination of the X-ray analysis and by time-dependent density functional theory (TD-DFT) calculations of electronic circular dichroism (ECD) spectra. The cytotoxic activity of the isolated compounds against human prostate cancer PC-3 and human embryonic kidney HEK-293 cells and growth inhibition activity against yeast-like fungi Candida albicans were assayed.
Graphical Abstract
Metabolism characterization and toxicity of N-hydap, a marine candidate drug for lung cancer therapy by LC–MS method
Authors: Lu Jindi , Liang Weimin , Hu Yiwei , Zhang Xi , Yu Ping , Cai Meiqun , Xie Danni , Zhou Qiong , Zhou Xuefeng , Liu Yonghong , Wang Junfeng , Guo Jiayin , Tang Lan 
Published: May 2024

AbstractN-Hydroxyapiosporamide (N-hydap), a marine product derived from a sponge-associated fungus, has shown promising inhibitory effects on small cell lung cancer (SCLC). However, there is limited understanding of its metabolic pathways and characteristics. This study explored the in vitro metabolic profiles of N-hydap in human recombinant cytochrome P450s (CYPs) and UDP-glucuronosyltransferases (UGTs), as well as human/rat/mice microsomes, and also the pharmacokinetic properties by HPLC–MS/MS. Additionally, the cocktail probe method was used to investigate the potential to create drug-drug interactions (DDIs). N-Hydap was metabolically unstable in various microsomes after 1 h, with about 50% and 70% of it being eliminated by CYPs and UGTs, respectively. UGT1A3 was the main enzyme involved in glucuronidation (over 80%), making glucuronide the primary metabolite. With a favorable bioavailability of 24.0%, N-hydap exhibited a higher distribution in the lungs (26.26%), accounting for its efficacy against SCLC. Administering N-hydap to mice at normal doses via gavage did not result in significant toxicity. Furthermore, N-hydap was found to affect the catalytic activity of drug metabolic enzymes (DMEs), particularly increasing the activity of UGT1A3, suggesting potential for DDIs. Understanding the metabolic pathways and properties of N-hydap should improve our knowledge of its drug efficacy, toxicity, and potential for DDIs.
Graphical Abstract
Dental management of long-term childhood cancer survivors: a systematic review
Authors: Seremidi K. , Gizani S. , Dahllöf G. , Barr-Agholme M. , Kloukos D. , Tsilingaridis G. 
Published: May 2024

Abstract
Purpose
Critically review and summarise existing knowledge on prevalence of oral, dental, and craniofacial side-effects of antineoplastic treatment in childhood cancer survivors (CCS).

Methods
A literature search was conducted for studies reporting on children aged 4–19 years treated for any type of malignancy up to the age of 15 years and for whom, at the time of the examination, more than 8 months have elapsed since the end of treatment. Data regarding dental late effects on teeth and craniofacial complex were collected and mean prevalence of each defect was reported.

Results
From the 800 articles identified, 17 studies fulfilled inclusion criteria and were included. A total of 983 CCS were examined, with the total number of healthy controls being 1266 children. Haematological malignancy was the most prevalent diagnosis with the age at diagnosis ranging between 0–15 years. Multiple antineoplastic protocols were implemented with the elapsed time being 8 months up to 17 years. One-third of CCS experienced at least one late effect, with corresponding value for the control group being below 25%. Among the defects identified clinically, microdontia, hypodontia and enamel developmental defects were recorded in 1/4 of CCS. Impaired root growth and agenesis were the two defects mostly recorded radiographically. The effect on dental maturity and on salivary glands was unclear.

Conclusion
CCS are at risk of developing dental late effects because of their disease and its treatment and therefore, routine periodic examinations are essential to record their development and provide comprehensive oral healthcare.
Wastewater-Based Surveillance of Mpox (Monkeypox): An Early Surveillance Tool for Detecting Hotspots
Authors: Islam Md. Aminul , Kumar Rakesh , Sharma Prabhakar , Zhang Shuxin , Bhattacharya Prosun , Tiwari Ananda 
Published: May 2024

Abstract
Purpose of Review
This study aims to review recent literature reporting wastewater-based surveillance (WBS) of the monkeypox virus (MPXV) with a major focus on sample collection, processing, and public health safety issues.

Recent Findings
Various studies revealed the presence of MPXV genetic markers in sewage, wastewater treatment plants, and drainage systems of hospitals in multiple countries.

Summary
Mpox (formally monkeypox) has been identified in more than a hundred countries, confirming at least 93,937 cases from 06 May 2022 to 03 February 2024. The MPXV, the causative agent for mpox, is a zoonotic virus having genome DNA. Major symptoms of the disease are rash, fever, headache, and chills with lymph pain. It has about a 10% case fatality rate, without any approved vaccine, but researchers are investigating the development of therapeutic vaccines. The virus DNA signature has been long reported in urine, stool, saliva, semen, and spit samples of clinical patients, make feasible for tracking the virus in wastewater. Furthermore, recent studies have reported MPXV DNA from environmental samples. As MPXV is a zoonotic virus with possible multiple hosts (e.g., small mammals and rodents), their detection in environmental samples might indicate the possible circulation of the virus including non-human hosts. The persistence of the infective virus particles in the ambient environment has not been fully investigated. Also, their possible risks of transmission through the contaminated milieu are unknown. The WBS can be an effective tool for identifying their hotspots and trends in communities.

Graphical Abstract
YS-SLAM: YOLACT++ based semantic visual SLAM for autonomous adaptation to dynamic environments of mobile robots
Authors: Li Jiajie , Luo Jingwen 
Published: May 2024

AbstractAiming at the problem of poor autonomous adaptability of mobile robots to dynamic environments, this paper propose a YOLACT++ based semantic visual SLAM for autonomous adaptation to dynamic environments of mobile robots. First, a light-weight YOLACT++ is utilized to detect and segment potential dynamic objects, and Mahalanobis distance is combined to remove feature points on active dynamic objects, also, epipolar constraint and clustering are employed to eliminate feature points on passive dynamic objects. Then, in terms of the semantic labels of dynamic and static components, the global semantic map is divided into three parts for construction. The semantic overlap and uniform motion model are chose to track moving objects and the dynamic components are added to the background map. Finally, a 3D semantic octree map is constructed that is consistent with the real environment and updated in real time. A series of simulations and experiments demonstrated the feasibility and effectiveness of the proposed approach.
Adaptive local neighborhood information based efficient fuzzy clustering approach
Authors: Wu Ziheng , Zhao Yuan , Li Cong , Zhou Fang 
Published: May 2024

AbstractThe purpose of clustering is to partition data similar with each other into a same group and partition data dissimilar with each other into different groups. However, in most existing fuzzy clustering approaches, the membership degrees of an individual belonging to different clusters are relied on the different distances between the individual and different cluster centroids, the similarity between the individual and data in different clusters are ignored, besides, the outliers cannot be distinguished effectively. For improving the clustering performance and addressing the problems in most existing fuzzy clustering approaches, based on the concept that data close to each other should be grouped together and be assigned to a same cluster, in this paper, we present a novel efficient fuzzy clustering approach, in which the adaptive local neighborhood information of each data referring to different clusters is taken into consideration; an entirely new idea that the membership degree values of an individual referring to different clusters should not only depend on the distances between the individual and different cluster centers, but also rely on the distances between the individual and several nearest neighbor data in different clusters is put forward; a new scheme to search for the outliers is presented, a method for identifying the different importance of different features is introduced. Experiments on synthetic and publicly real-world datasets were conducted, the clustering results show that the approach put forward can yield consistently satisfying clustering performance and has significant advantages.
Rule of Law and the Criteria for Appointment of Judges: A Case for Judicial Virtues
Authors: Widłak Tomasz 
Published: May 2024

Abstract
This article seeks to develop a case for a virtue-oriented (or aretaic) approach to the criteria for appointing judges. It will argue for the usefulness of judicial virtue by showing its theoretical relevance for describing and explaining the criteria for selecting judicial candidates and claiming its advantage over the currently used syncretic sets of criteria used in European jurisdictions. The analysis will explore the connection between the criteria of judicial selection and the Rule of Law. If the Rule of Law is to be understood at its core as a process of tempering the arbitrariness of power, it requires certain personality traits of character on the part of the judiciary. This article argues that virtue is a context-relevant concept well-entrenched in legal culture that amounts to a personality aspect of the Rule of Law. In support of this point, the article discusses the two possible methods of establishing judicial virtues – using a targeted approach to virtue and an Aristotelian-inspired method of uncovering a catalogue of judicial virtues from the insights into the legal culture. The article concludes with policy-oriented advice on incorporating a virtue-centred approach to judicial selection processes.
A Systematic Review of the Facilitators and Barriers to Help-Seeking for Self-Harm in Young People: A Systems Thinking Perspective
Authors: Cox Jolene A. , Mills Lia , Hermens Daniel F. , Read Gemma J. M. , Salmon Paul M. 
Published: May 2024

AbstractYoung people who self-harm require support and resources to address their self-harm. However, they are often reluctant to seek help for their self-harm. Despite efforts to increase help-seeking, the rates of self-harm in this population continue to increase. A better understanding of the factors that influence help-seeking for self-harm in young people is necessary. This systematic review aimed to synthesize the existing literature on the known facilitators and barriers to help-seeking for self-harm in young people. Across the 33 studies included in this review, the age range of young people was 11 to 30 years. Facilitators and barriers to help-seeking for self-harm were extracted and mapped onto a systems thinking framework. The synthesis indicated that there were 17 known facilitators and twice as many barriers across the help-seeking system hierarchy. Most of these facilitators and barriers were related to lower levels of the system (i.e., service delivery and the social environment, and young people who self-harm). There was limited consideration of broader systemic factors that influence help-seeking for self-harm and the interactions between these facilitators and barriers in influencing help-seeking. Future research should consider the use of systems thinking frameworks and methods in understanding and addressing this complex problem.
Do Labour Welfare Policies Matter for Workers? Evidence from the Garment Supply Chain Industry in Bangladesh
Authors: Syed Robayet Ferdous , Mahmud Kazi Tanvir , Karim Ridoan 
Published: May 2024

AbstractThe paper focusses on workers’ opinions in regard to welfare policies enacted under the Bangladesh Labour Act 2006. The study investigates two questions: Do labour welfare policies under labour law really matter for workers? If so, to what extent are such welfare policies practised in the global garment supply chain industry in Bangladesh? The Binary Logistic Regression technique has been used to assess the opinions of garment workers as to whether their level of satisfaction increases by workers’ welfare facility interventions. The data were collected from compliant and export-oriented factories between July 2021 and August 2021 in three Upazilas-Savar Ashulia (Dhaka District) and Gazipur Sadar (Gazipur District) in Bangladesh. This study demonstrates that overtime facilities, medical facilities, safety measures, restroom facilities, lunchroom facilities, and childcare facilities can play a pivotal role in increasing the satisfaction level of the workers. Given the similar socio-economic and geographical backgrounds, this research can be applied to the garment manufacturing industries of other South Asian countries. It serves as a valuable tool for understanding workers' attitudes and beliefs about welfare provisions. By applying the findings of this study, one can better comprehend the needs of the workers in terms of various labor welfare motivational tools.
Advancements in black titanium dioxide nanomaterials for solar cells: a comprehensive review
Authors: Selema T. C. , Malevu T. D. , Mhlongo M. R. , Motloung S. V. , Motaung T. E. 
Published: May 2024

AbstractOver the past decade, black titanium dioxide (B-TiO2) has garnered considerable attention within the scientific community due to its exceptional properties in optoelectronic and photovoltaic applications. This review offers a thorough examination of the synthesis, characteristics, and utilization of B-TiO2 nanomaterials in solar cell technologies. It underscores the pivotal role played by B-TiO2 in bolstering light absorption, facilitating charge separation, and optimizing charge transport mechanisms within solar cell architectures. Notable research endeavors are highlighted, showcasing the strides made in enhancing solar cell efficiency through the incorporation of B-TiO2. Furthermore, this review delves into the challenges inherent in the utilization of B-TiO2, including considerations of stability, scalability, and manufacturing methodologies, thereby stressing the imperative for refined synthesis techniques. Environmental concerns related to B-TiO2 are also addressed, underscoring the significance of evaluating its ecological footprint and advocating for sustainable deployment practices. Moreover, the review elucidates the future prospects of B-TiO2 in solar energy conversion, emphasizing innovations in device design and novel applications while championing environmentally conscious utilization practices. Serving as a comprehensive resource, this review is poised to empower researchers and practitioners alike, fostering deeper insights and facilitating advancements in the realm of B-TiO2 nanomaterials within the domain of solar cells.
Findings on three endocommensal scuticociliates (Protista, Ciliophora) from freshwater mollusks, including their morphology and molecular phylogeny with descriptions of two new species
Authors: Li Tao , Zhang Tengyue , Liu Mingjian , Zhang Zhe , Zhang Jiachen , Niu Junhua , Chen Xiangrui , Al-Farraj Saleh A. , Song Weibo 
Published: May 2024

AbstractSpecies of the ciliate genera Myxophyllum and Conchophthirus are found as endocommensals of terrestrial and freshwater mollusks, respectively. So far, there have been few studies of these genera and morphological data for most members are often incomplete. In the present work, two new species, Myxophyllum weishanense sp. nov. and Conchophthirus paracurtus sp. nov., and a known species, Conchophthirus lamellidens, were isolated from hosts in Lake Weishan Wetland, China. Taxonomic studies indicate that M. weishanense sp. nov. can be recognized mainly by the combination of about 60 somatic kineties on both ventral and dorsal sides and the presence of caudal cilia. Conchophthirus paracurtus sp. nov. differs from congeners in its body shape and size, having a glabrous area on the posterior right side, and having fewer somatic kineties. In addition, differences in their ITS2 (Internally Transcribed Spacer 2) secondary structures support the discrimination of the two new species from their highly similar congeners. An improved diagnosis for the poorly known species, C. lamellidens is also provided. Phylogenetic analyses reveal that members of the genus Myxophyllum belong to a fully supported clade that is sister to a large, poorly supported clade consisting of Hemispeiridae, Ancistridae, and several lineages of the nonmonophyletic Cyclidiidae. The Myxophyllum clade also includes Protophyra ovicola JQ956552, a possible misidentification. Sequences of the two new Conchophthirus species cluster with other congeners in a fully supported clade that is unrelated to either the ‘typical’ thigmotrichs or to pleuronematids, thus conflicting with the traditional classification, and may represent an orphan scuticociliate lineage.