bluuebunny/crossref_metadata_2025 huggingface dataset:
Immunotherapy for Microsatellite-Stable Metastatic Colorectal Cancer: Can we close the Gap between Potential and Practice?
Authors: Hamid Marwa Abdel , Pammer Lorenz M. , Lentner Theresa K. , Doleschal Bernhard , Gruber Rebecca , Kocher Florian , Gasser Elisabeth , Jöbstl Anna , Seeber Andreas , Amann Arno
Published: July 2024

Purpose of Review

This review will explore various strategies to rendering MSS mCRCs susceptible to ICI. Moreover, we will provide an overview of potential biomarkers that may aid to better patient selection, and discuss ongoing efforts in this area of research.

Recent Findings

Colorectal cancer (CRC) ranks among the top three most common cancers worldwide. While significant advances in treatment strategies have improved the prognosis for patients in the early stages of the disease, treatment options for metastatic CRC (mCRC) remain limited. Although immune checkpoint inhibitors (ICI) have revolutionized the treatment of several malignancies, its efficacy in mCRC is largely confined to patients exhibiting a high microsatellite instability status (MSI-H). However, the vast majority of mCRC patients do not exhibit a MSI-H, but are microsatellite stable (MSS). In these patients ICIs are largely ineffective.

So far, ICIs do not play a crucial role in patients with MSS mCRC, despite the promising data for inducing long-term remissions in other tumour entities. For this reason, novel treatment strategies are needed to overcome the primary resistance upon ICI in patients with MSS.
Specific and Plastic: Chandelier Cell-to-Axon Initial Segment Connections in Shaping Functional Cortical Network
Authors: Qi Yanqing , Zhao Rui , Tian Jifeng , Lu Jiangteng , He Miao , Tai Yilin
Published: July 2024

Axon initial segment (AIS) is the most excitable subcellular domain of a neuron for action potential initiation. AISs of cortical projection neurons (PNs) receive GABAergic synaptic inputs primarily from chandelier cells (ChCs), which are believed to regulate action potential generation and modulate neuronal excitability. As individual ChCs often innervate hundreds of PNs, they may alter the activity of PN ensembles and even impact the entire neural network. During postnatal development or in response to changes in network activity, the AISs and axo-axonic synapses undergo dynamic structural and functional changes that underlie the wiring, refinement, and adaptation of cortical microcircuits. Here we briefly introduce the history of ChCs and review recent research advances employing modern genetic and molecular tools. Special attention will be attributed to the plasticity of the AIS and the ChC-PN connections, which play a pivotal role in shaping the dynamic network under both physiological and pathological conditions.
Hindrances and Enablers of Healthy Eating Behavior Among College Students in an HBCU: A Qualitative Study
Authors: Antwi Janet , Olawuyi Yetunde , Opara Innocent , Ifafore Modupe
Published: July 2024

Research indicates widespread unhealthy eating habits among college students, posing long-term health risks. This study at a Historically Black College and University (HBCU) aimed to explore the perceived obstacles and facilitators to healthy eating among college students, using the social ecological model (SEM). Through focus group discussions and key informant interviews, the study identified several barriers to healthy eating, including challenges in accessing federal food assistance resources, gaps in nutrition knowledge, cost concerns, limited food variety on campus, difficulty accessing grocery stores, and a lack of cooking skills. To address these barriers, participants suggested various solutions, such as implementing cooking demonstrations, providing nutrition education, increasing food variety on campus, offering gardening opportunities, adjusting cafeteria hours for more flexibility, making fresh produce more available on campus, assisting students in accessing federal food assistance programs, and providing transportation to nearby grocery stores. The findings highlight the need for targeted interventions to promote healthier dietary behaviors among college students, particularly those attending HBCUs. By addressing the identified barriers and implementing the suggested solutions, initiatives can be developed to support students in making healthier food choices, ultimately reducing long-term health risks associated with unhealthy eating habits.
Recent Advances in Bio-Based Adhesives and Formaldehyde-Free Technologies for Wood-Based Panel Manufacturing
Authors: Calvez Ingrid , Garcia Rosilei , Koubaa Ahmed , Landry Véronic , Cloutier Alain
Published: July 2024

Purpose of Review

Conventional formaldehyde-based adhesives for wood-based composite panels are subject to significant concerns due to their formaldehyde emissions. Over the past decade, the wood adhesive industry has undergone a considerable transformation that is characterized by a major push in bio-adhesive development. Various bio-based materials have been explored to create alternatives to conventional formaldehyde-based adhesives. Moreover, growing interest in circularity has led to increasingly exploiting industrial coproducts and by-products to find innovative solutions.

Recent Findings

Industrial production generates many coproducts that can serve as renewable resources to produce eco-friendly materials. These coproducts offer alternative supply sources for material production without encroaching on food production. Many bio-based compounds or coproducts, such as saccharides, proteins, tannins, and lignocellulosic biomass, can also be used to develop bio-based adhesives. As part of ongoing efforts to reduce formaldehyde emissions, new hardeners and crosslinkers are being developed to replace formaldehyde and bio-scavengers. Other alternatives, such as binderless panels, are also emerging.

This review focuses on sources of bio-based material derived from by-products of various industries, which have many advantages and disadvantages when incorporated into adhesives. Modification methods to enhance their properties and performance in wood-based panels are also discussed. Additionally, alternatives for developing low-emission or formaldehyde-free adhesives are addressed, including hardeners, bio-scavengers, and binderless options. Finally, the environmental impact of bio-based adhesives compared to that of synthetic alternatives is detailed.
Negation of permutation mass function in random permutation sets theory for uncertain information modeling
Authors: Tang Yongchuan , Li Rongfei , Guan He , Zhou Deyun , Huang Yubo
Published: July 2024

Negation provides a novel perspective for the representation of information. However, current research seldom addresses the issue of negation within the random permutation set theory. Based on the concept of belief reassignment, this paper proposes a method for obtaining the negation of permutation mass function in the of random set theory. The convergence of proposed negation is verified, the trends of uncertainty and dissimilarity after each negation operation are investigated. Furthermore, this paper introduces a negation-based uncertainty measure, and designs a multi-source information fusion approach based on the proposed measure. Numerical examples are used to verify the rationality of proposed method.
Tests for market failures and overcoming transaction costs barriers to market participation in Afghanistan
Authors: Ahmadzai Hayatullah
Published: July 2024

Similar to other fragile poor countries, the majority of the rural population in Afghanistan depend directly or indirectly on small-scale farming for their livelihoods, and poor infrastructure and other barriers restrict access to markets and services, making improving access to local input markets a significant challenge for policymakers aiming to increase productivity. This paper offers empirical evidence addressing two important issues for smallholder participation in input markets: are rural markets incomplete or failing and how do transaction costs affect participation in factor markets? Pooled cross-sectional data from three waves of nationally representative surveys between 2011 and 2016 with a sample of nearly 21,000 households are used. The analysis first tests and rejects the separability hypothesis that household production and consumption decisions are independent which can be interpreted as evidence of market failures. A control function approach with instrumental variables to address endogeneity is employed to estimate household input market participation decisions. Ownership of or access to information and communication technology and transport equipment are used as proxies for transaction costs. Results confirm that lower transaction costs increase input market participation and expenditure on inputs by farm households. Additionally, households with better access to roads and district or provincial market centres have higher market participation and expenditure on input. Reducing transaction costs plays an important role in input use, potentially increasing productivity and incomes.
Thermal Properties of 3D-Printed Molds for Light Metal Casting
Authors: Kleinhans Robert , Pintore Manuel , Erhard Patricia , Renz Ralph , Tesfu Johanna
Published: July 2024

Binder Jetting technology is well established for the production of sand molds and cores for foundry use, owing to its flexibility and expansive design capabilities. A wide array of sand, aggregate, and binder combinations is commercially available. Utilizing these types of refractory materials in the casting process presents both technical and economic benefits and drawbacks. For intricate cast components, foundry technologists must assess the thermophysical properties of the mold material systems. With this knowledge, specialized high-performance material combinations may be employed in specific areas of the mold, while more economically viable systems are used for shaping the external mold support. This study primarily focuses on determining the heat capacity and thermal diffusivity and consequently the thermal conductivity using a specially developed analytical method. It investigates three different fundamental aggregates: silica, cerabeads®, and chromite. The result’s range provides an overview of relevant characteristics for the selected material systems. Given that the properties of sand affect heat flow during casting and solidification, these newly determined values can be utilized in future simulations. Consequently, these findings aid in maintaining and enhancing the quality of critically stressed cast parts.
Knowledge Leaks in Data-Driven Business Models? Exploring Different Types of Knowledge Risks and Protection Measures
Authors: Fruhwirth Michael , Pammer-Schindler Viktoria , Thalmann Stefan
Published: July 2024

Data-driven business models imply the inter-organisational exchange of data or similar value objects. Data science methods enable organisations to discover patterns and eventually knowledge from data. Further, by training machine learning models, knowledge is materialised in those models. Thus, organisations might risk the exposure of competitive knowledge by sharing data-related value objects, such as data, models or predictions. Although knowledge risks have been studied in traditional business models, little research has been conducted in the direction of data-driven business models. In this explorative qualitative study, we conducted 28 expert interviews in three rounds (two exploratory and one evaluatory) and identified five types of risks along the three basic types of value objects: data, models and predictions. These risks depend on the context, i.e., when competitive knowledge could be discovered from shared value objects. We found that those risks can be mitigated by technology, contractual regulations, trusted relationships, and adjusting the business model design. In this study, we show that the risk of knowledge leakage is a relevant risk factor in data-driven business models. Overall, knowledge risks should be considered already during business model design, and their management requires an interdisciplinary approach via a balanced assessment. The level of knowledge protection from a technology perspective highly depends on computer science innovations and thus is a moving target. As an outlook, we suggest that knowledge risk will become even more relevant with the extensive usage of machine learning and artificial intelligence in data-driven business models.
Two deep learning methods in comparison to characterize droplet sizes in emulsification flow processes
Authors: Burke Inga , Dhayaparan Thajeevan , Youssef Ahmed S. , Schmidt Katharina , Kockmann Norbert
Published: July 2024

For reliable supervision in multiphase processes, the droplet size represents a critical quality attribute and needs to be monitored. A promising approach is the use of smart image flow sensors since optical measurement is the most commonly used technique for droplet size distribution determination. For this, two different AI-based object detection methods, Mask RCNN and YOLOv4, are compared regarding their accuracy and their applicability to an emulsification flow process. Iterative optimization steps, including data diversification and adaption of training parameters, enable the models to achieve robust detection performance across varying image qualities and compositions. YOLOv4 shows better detection performances and more accurate results which leads to a wider application window than Mask RCNN in determining droplet sizes in emulsification processes. The final droplet detection model YOLOv4 with Hough Circle (HC) for feature extraction determines reliable droplet sizes across diverse datasets of liquid-liquid flow systems (disperse phase content 1–15 vol.-%, droplet size range 5–150 μm). Evaluating the adjustment of Confidence Scores (CS) ensures statistical representation of even smaller droplets. The droplet detection performance of the final YOLOv4 model is compared with a manual image processing method to validate the model in general as well as its accuracy and reliability. Since YOLOv4 in combination with Hough Circle (HC) shows an accurate and robust detection and size determination, it is applicable for online monitoring and characterization of various liquid-liquid flow processes.

Graphical abstract
Internet of robotic things with a local LoRa network for teleoperation of an agricultural mobile robot using a digital shadow
Authors: Shamshiri Redmond R. , Navas Eduardo , Dworak Volker , Schütte Tjark , Weltzien Cornelia , Cheein Fernando A. Auat
Published: July 2024

In unstructured agricultural fields where autonomous navigation is challenging and demands additional safety, the operator’s experience and knowledge are essential for supervising operations and making decisions beyond the robot’s autonomous capabilities. Local networks with long-range wireless communication combined with digital twin concepts are promising solutions that can be used for robot teleoperation. The purpose of this study was to demonstrate the feasibility of supervising a mobile robot inside berry orchards using a digital shadow from a long-range distance (between 300 and 3000 m), with the primary objective of assisting the robot in navigating in complex situations such as row-end turning. This involved creating a virtual representation of the robot that mirrors its state and actions, allowing the remote operator to monitor and guide the robot effectively. The system comprised a GPS-based navigation controller with collision avoidance sensors, two sets of LoRa transmitters and repeaters, a simulation environment with a digital shadow of the robot, and a graphical user interface for the remote operator. Information about the digital shadow’s state, including location, orientation, and distances to obstacles, was received as a message by the LoRa gateway and was used to update the path for the actual robot that interfaced with the Robot Operating System (ROS). The main research hypothesis aimed to test the quality of the LoRa communication link between the robot and the operator, as well as the robustness of the robot’s control system, with an emphasis on the architecture, communication link, and situation awareness creation. Preliminary results showed that depending on the environment, the average packet loss was 12% at distances of approximately 2300 m. Our results highlight some of the core technical challenges that need to be addressed for an effective teleoperation system, including latency, stability, and the limited range of wireless communication. Future works involves evaluating the performance and reliability of the proposed method under different field conditions and scenarios, as well as considering the use of the 5G network for a significant improvement in data transmission speed, navigation efficiency, and visual feedback. Upon successful implementation, this study has the potential to enhance the efficiency and safety of robot navigation, providing a practical solution for remote supervision in challenging environments.
Pharmacological and phytochemical review of Acmella oleracea: a comprehensive analysis of its therapeutic potential
Authors: Aktar Mst. Asma , Bhuia Md. Shimul , Molla Shamim , Chowdhury Raihan , Sarkar Chandan , Al Shahariar Md. , Roy Pias , Reiner Željko , Sharifi-Rad Javad , Calina Daniela , Shakil Md. Abdul Kader , Islam Muhammad Torequl
Published: July 2024

Acmella oleraceaL. (Asteraceae), commonly known as the toothache plant, is a tropical herb with significant therapeutic potential. Traditionally, it has been used for its analgesic and sialagogue properties, and it is known for its distinctive yellow flower crest. This review addresses current gaps in the understanding of its pharmacological properties and aims to provide a comprehensive analysis of its therapeutic potential. A thorough literature review was conducted using databases such as Google Scholar, ScienceDirect, and PubMed/MedLine. The findings indicate that A. oleraceacontains a variety of phytochemicals, including spilanthol, which exhibit diverse pharmacological activities such as antioxidant, anti-inflammatory, immunomodulatory, antinociceptive, pronociceptive, antibacterial, antifungal, antidiabetic, diuretic, and vasorelaxant effects. The results highlight the significant medicinal potential ofA. oleraceawhile also identifying areas for further research, particularly regarding its toxicological impacts on humans and animals. This review aims to guide future studies on the health benefits and safety of this plant.
Field test of a bioaugmentation agent for the bioremediation of chlorinated ethene contaminated sites
Authors: Krett Gergely , Romsics Csaba , Jurecska Laura , Bódai Viktória , Erdélyi Balázs , Márialigeti Károly , Nagymáté Zsuzsanna
Published: July 2024

Chlorinated ethenes are toxic compounds that were widely used in the past, and their improper handling and storage caused notable pollutions worldwide. In situ bioremediation by reductive dechlorination of bacteria is a cost-effective and ecologically friendly way to eliminate these pollutions. During the present study, the efficiency of a previously developed bioaugmentation agent combined with biostimulation was tested under field conditions in contaminated soil. Furthermore, the preservation of dechlorinating ability was also investigated in a long-term experiment. Initially, aerobic conditions were present in the groundwater with possible presence of anaerobic micro-niches providing habitat for Brocadia related anammox bacteria. “Candidatus Omnitrophus” was also identified as a dominant member of community then. Significant changes were detected after the biostimulation, anaerobic conditions established and most of the dominant OTUs were related to fermentative taxa (e.g. Clostridium, Trichococcusand Macillibacteroides). Dominant presence of vinyl-chloride coupled with the lack of vinyl-chloride reductase gene was observed. The most notable change after the bioaugmentation was the significant decrease in the pollutant quantities and the parallel increase in the vcrA gene copy numbers. Similar to post-biostimulation state, fermentative bacteria dominated the community. Bacterial community composition transformed considerably with time after the treatment, dominance of fermentative—mainly Firmicutes related—taxa decreased and chemolithotrophic bacteria became abundant, but the dechlorinating potential of the community remained and could be induced by the reappearance of the pollutants even after 4 years.
Comment on ‘Research contribution of bibliometric studies related to sustainable development goals and sustainability’ [Discover Sustainability, 2023, 5, 1, 7, 10.1007/s43621-024-00182-w]
Authors: Elango Bakthavachalam
Published: July 2024

This investigation discusses a comment on a recently published research study (Raman, Discov Sustain 5:7, 2024) related to Sustainable Development Goals (SDGs) and Sustainability, focusing on bibliometric analysis. The observation highlighted a computational error in the calculation of Compound Annual Growth Rate (CAGR) as presented in the original publication. A revised formula was provided, along with corrected computations, revealing a notable disparity in growth forecasts. It emphasizes the need to use appropriate formulas for growth assessments and suggests that researchers should focus on identifying and rectifying inaccuracies.
Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese
Authors: Kang Wanhui , Xu Xinming , Yang Xiaowei , Wu Qingqing , Li Shuning , Gao Keran , Zeng Rong , Sun Liang , Lin Xu
Published: July 2024

Little is known about the links of disturbed lipid metabolism with hyperuricemia (HUA). We aimed to investigate the associations of lipidomic profiles with uric acid (UA)/HUA and their modifying factors in middle-aged and elderly Chinese. A total of 350 lipids were quantified in 2247 community-based Chinese aged 50–70 years by high-coverage targeted lipidomics. HUA was defined by plasma UA > 420 μmol/L in men or > 360 μmol/L in women. The prevalence of HUA in this population was 10.4%. After multivariable adjustment including BMI and lifestyle, 123 lipids were significantly associated with UA, predominantly glycerolipids (GLs) and glycerophospholipids (GPs). Specifically, diacylglycerol [DAG (16:0/22:5), DAG (16:0/22:6), DAG (18:1/20:5), DAG (18:1/22:6)], phosphatidylcholine [PC (16:0/20:5)), and triacylglycerol (TAG (53:0)] were the most significant lipid signatures positively associated with HUA risk, while lysophosphatidylcholine (LPC (20:2)) was inversely associated with HUA risk (p < 0.05). Network analysis also showed a positive association between TAGs/PCs/DAGs contained module and HUA risk (p < 0.01). Notably, HUA-related lipids were associated with de novo lipogenesis fatty acids, especially 16:1n-7 (Spearman correlation coefficients = 0.32–0.41, p < 0.001). Reduced rank regression showed that increased aquatic products intake was correlated to elevated HUA risk and HUA-associated lipids; while high dairy consumption was correlated with low level of HUA-associated lipids (|factor loadings| ≥ 0.2). Moreover, mediation analyses suggested that the lipid-HUA associations were partially mediated by retinol-binding protein 4 (RBP4, mediation proportion 5–14%), an adipokine linked with dyslipidemia and insulin resistance. In conclusion, disturbed specific metabolisms of GLs and GPs were associated with high prevalent HUA, partially mediated by RBP4 and/or influenced by certain dietary factors.
Students’ acceptance of e-learning: extending the technology acceptance model with self-regulated learning and affinity for technology
Authors: Barz Nathalie , Benick Manuela , Dörrenbächer-Ulrich Laura , Perels Franziska
Published: July 2024

The present study examines university students’ acceptance of e-learning according to the Technology Acceptance Model (TAM). We also investigate the influence of external factors, including self-efficacy with digital media, self-regulated learning, prior experience, and affinity for technology, to extend the model with valid individual factors. Structural equation modeling with maximum-likelihood estimation served to evaluate the proposed research model, which included online questionnaire data from N = 225 undergraduates studying various subjects in 53 universities. The results indicate that the TAM is replicable regarding e-learning for German-speaking university students. Additionally, we found self-regulated learning and affinity for technology to be significantly positively related to the two main components of the TAM, perceived ease of use and perceived usefulness, implying their importance in technology acceptance. However, self-efficacy with digital media and prior experience showed no significant impact on university students’ technology acceptance. We also found a significant positive relationship between attitudes toward e-learning and behavioral intention, showing that university students with positive attitudes are more willing to use it in the future. Therefore, higher education should consider students’ individual prerequisites for e-learning and support students during the use of e-learning environments, to promote the development of positive experiences and attitudes toward e-learning.
Characterization of heat-processed artificial lightweight aggregates from polyethylene terephthalate plastic waste
Authors: Uche Chikadibia Kalu Awa , Abubakar Sani Aliyu , Nnamchi Stephen Ndubuisi , Mundu Muhamad Mustafa
Published: July 2024

Plastic waste is an undeniable source of pollution that threatens the existence of the earth’s flora and fauna. The bulk of plastic waste generated globally does not go through the proper methods of disposal but is carelessly discarded into the aquatic or terrestrial environment. Current recycling efforts are largely inadequate and disposal in landfills is still fraught with environmental and land use challenges. The proper disposal of plastic waste, as well as mitigating the environmental, social, and health impacts of extracting natural aggregates can be achieved by incorporating plastic waste as aggregates in the construction industry. This paper presents a characterization of aggregates manufactured from polyethylene terephthalate plastic waste using thermal/mechanical methods. From the cost analysis, 24,341.67 Ugx (6.09 USD) was spent to produce 1 kg of PET aggregates. Morphological, intrinsic and mechanical characteristics of the produced aggregates were established using standard procedures and equipment. The results of morphological characterization indicate an irregular shaped aggregate with smooth surface, a dense graded aggregate with a fineness modulus of 4.25, flakiness index of 26%, elongation index of 16% and particle index of 13. Intrinsic characterization yielded particle density of 1330 kg/m3, bulk density of coarse aggregates of 715 kg/m3 and water absorption of 0.445%. Mechanical characteristics of aggregates were evaluated, with compressive strength of 50Mpa, Aggregate Crushing Value of 37%, Ten Percent Fines Value of 71KN, Aggregate Impact Value of 24% and Aggregate Abrasion Value of 20%. The characteristics of PET aggregates confirm their suitability for application in structural lightweight concrete and rigid pavement. The produced PET aggregates can be considered in mix design as a total or partial replacement of natural aggregates in concrete.
Use of geosynthetic materials as soil reinforcement: an alternative eco-friendly construction material
Authors: Chatrabhuj  , Meshram Kundan
Published: July 2024

Geosynthetics have emerged as innovative, efficient, and cost-effective solutions for a myriad of engineering challenges in construction. This paper explores the extensive applications of geosynthetics in construction, encompassing liner systems for landfills, containment zone barriers, embankments, filters, pavement drainage systems, slope stabilization, reinforcement for shallow foundations, and barriers in earthen dams. Various types of geosynthetic materials, such as geotextile, geomembrane, geogrid, geonet, geocomposite, geofiber, geobags, geopipes, geosynthetic clay liner, and geofoam, further broaden their utility. A significant focus is on soil stabilization, where geosynthetics play a crucial role in reinforcing weak soil, improving stability, erosion protection, enhanced drainage, and effective soil retention. Geosynthetics helps in improving soil strength which could be used in subgrade, embankment, slopes, foundations, and earthen dams, it could be an efficient alternate to traditional construction materials. The findings of this research have practical implications for engineers and construction professionals, offering innovative and cost-effective solutions to engineering challenges.
Exploration of shock–droplet interaction based on high-fidelity simulation and improved theoretical model
Authors: Xiong Tianheng , Shao Changxiao , Luo Kun
Published: July 2024

Shock–droplet interaction in the early stage involves intricate wave structures. Investigating this phenomenon is inherently challenging due to the fine spatial and temporal scales involved. Past research has suggested that the occurrence of cavitation, marked by a negative peak pressure, is linked to the focus of the reflected expansion wave. In this study, a high-fidelity compressible numerical approach is utilized to replicate the initial phase of shock–droplet interactions. The location of the negative peak pressure is meticulously documented and compared with experimental measurement and numerical results. Results indicate a strong alignment between the negative peak pressure positions identified through numerical simulations and the focal points identified in theoretical models for low gas–liquid wave velocity ratios. However, this alignment is notably disrupted when dealing with higher gas–liquid wave velocity ratios. Further enhancements are made to the theoretical model, enabling a more precise depiction of internal wave structures and focus points, particularly under conditions of high gas–liquid wave velocity ratios. The study delves into the various factors influencing internal pressure fluctuations within the liquid droplet, categorizing them into four phases: the shock wave effect, relaxation effect, fluctuation effect, and expansion wave effect. Analysing the pressure decrease portion reveals that while the converging of the reflected expansion wave leads to a substantial pressure drop, it accounts for only a fraction of the total pressure variation. Consequently, any model predicting negative peak pressure positions must comprehensively consider all contributing factors.
The level and determinants of knowledge and attitude towards nutrition among pregnant women in Minjar Shenkora district, Ethiopia
Authors: Demisew Meron , Gemede Habtamu Fekadu , Ayele Kassahun
Published: July 2024

Maternal knowledge and attitudes towards nutrition are essential for achieving healthy dietary behaviours for a positive pregnancy outcome. Therefore, this study aimed to assess the level and determinants of knowledge and attitudes towards nutrition among pregnant women in the Minjar Shenkora district, Ethiopia. Institution-based cross-sectional study was conducted between June and August 2021 among 334 pregnant women who were selected using a systematic random sampling technique. Data were collected using a semi-structured questionnaire and analysed using SPSS version 21. Bivariate and multivariate logistic regression analyses were used to identify the determinants of nutritional knowledge and attitudes. P < 0.05, with a 95% CI was used to declare statistical significance. Overall, 69.2% and 44.0% of the pregnant women were not knowledgeable and had an unfavourable attitude toward nutrition, respectively. The educational status of pregnant women (P < 0.01) and access to nutritional information (P < 0.01) were significantly associated with nutritional knowledge, while the educational status of pregnant women (P < 0.01) was associated with nutritional attitude. Respondents’ knowledge of and attitudes toward nutrition were low. Pregnant women’s educational levels and access to nutritional information are strongly related to their nutritional knowledge. Likewise, the educational status of the pregnant women was significantly associated with their nutritional attitudes. Therefore, education and counselling on maternal nutrition are needed to improve healthy maternal nutrition tips in the study area.
Influence of in situ temperature and maternal provisioning on the medusa-to-polyp transition in a year-round population of the scyphozoan Aurelia aurita
Authors: Loveridge A. , Lucas C. H. , Ford D.
Published: July 2024

We investigated how environmental conditions translate into reproductive success or failure in Aurelia aurita from the medusa to the polyp life stage. This study examined how: (i) settlement success and development of planula larvae and polyps vary across the year, (ii) the role of temperature in determining the successful settlement of larvae and growth of polyps, and (iii) the influence of maternal provisioning in the successful settlement of larvae and growth of polyps. Medusae were collected monthly from February to December 2019 from Horsea Lake, UK. Planula larvae were settled in conditions mimicking the in situ temperature and salinity of collection. For the individual treatments, planula collected in August settled most rapidly. Early development rates (<8 tentacles) were significantly higher than later growth rates (>8 tentacles) and were positively correlated with temperature, unlike later growth rates. Planula length, used as an indicator of maternal provisioning, varied significantly across the year. In July 2019, a high temperature anomaly coincided with an increased time spent by planula larvae in the water column. Increasing temperatures past thermal limits through the increasing occurrence of temperature anomalies is likely to be detrimental to larval settlement and indirectly to the replenishment of temperate polyp populations.
Challenges, Advances and Opportunities in Regional Sea Level Projections: The Role of Ocean‐Shelf Dynamics
Authors: Jevrejeva Svetlana , Calafat Francisco M. , De Dominicis Michela , Hirschi Joël J.‐M. , Mecking Jennifer V. , Polton Jeff A. , Sinha Bablu , Wise Anthony , Holt Jason
Published: July 2024

Future sea level rise and changes in extreme weather will increase the frequency of flooding and intensify the risks for the millions of people living in low‐lying coastal areas. Concerns about coastal adaptation have been broadened due to societal awareness of the threat from rising seas, leading to a large set of potential adaptation users with diverse needs for adequate sea level projections in coastal areas beyond the current state of the art regional projections. In this paper, we provide an overview of the potential steps for improvement of regional sea level projections along the global coastline, with specific focus on the contribution from ocean dynamics to seasonal‐decadal variability of coastal sea level, and its implications for changes in frequency and magnitude of extreme sea levels. We discuss the key gaps in our knowledge and predictive capability of these dynamics as they relate to sea level variability on seasonal to decadal timescales, and conclude by suggesting ways in which these knowledge gaps could be addressed.
Editorial to the Special Collection “Controls and Biasing Factors in Sediment Generation, Routing, and Provenance: Models, Methods, and Case Studies”
Authors: Stutenbecker Laura , Mark Chris , Resentini Alberto
Published: July 2024

Clastic sediment composition constitutes a key archive of Earth history, controlled by allogenic and autogenic processes that impact weathering, erosion, sediment transfer, and deposition. Deciphering those processes can provide valuable insights into ancient and modern tectonic, geomorphic, climatic, and anthropogenic controls that shape sediment routing systems over a wide range of temporal and spatial scales. However, in order to clearly identify the controls on sediment composition, it is necessary to exclude sources of bias that may mask or diminish the original provenance signal. Such biases may be natural, including mineral fertility, sediment recycling, and grain size, or analytical. This special collection arises from the fifth meeting of the working group on sediment generation held at the University Milano‐Bicocca in Milan, Italy, from 28 to 30 June 2022. The collation includes studies that investigate biasing factors affecting all steps of the sediment cascade and all stages of sample collection, preparation, and analysis, as well as case studies that aim to disentangle original provenance signals from geological, environmental, or analytical noise.
Permeability and Induced Polarization of Mudstones
Authors: Peshtani Klaudio , Weller Andreas , Slater Lee
Published: July 2024

Electrical measurements can be used to estimate hydraulic properties such as permeability (k) in sedimentary rocks. Previous work has focused on sandstones, siltstones, and carbonates, while investigations on mudstones have rarely been reported. In this study, we report on electrical geophysical measurements for 23 mudstone samples using an experimental approach designed to reliably saturate these low permeability mudstones. The modified Hagen‐Poiseuille model linking permeability to the formation factor (F) and an effective pore radius (r) provides an excellent fit to the data set with a near‐constant pore radius, indicating that the effective porosity (1/F) is the controlling factor on k. In these samples, the surface area normalized to pore volume (Spor), frequently used in permeability estimation models, varies by 1–2 orders of magnitude and is thus not a reliable proxy of the inverse effective hydraulic radius. The formation factor also exerts the primary control on induced polarization (IP) parameters, whereas Spor shows no relation to the IP parameters. A strong linear relationship is found between IP parameters (imaginary conductivity and normalized chargeability) and surface conductivity, although the proportionality factor is significantly lower than those observed in more permeable rocks and sediments. Apparent relationships between the polarization strength‐derived and time constant‐derived geophysical length scales and the effective hydraulic radius appear to be driven by variations in the electrochemical parameters (i.e., specific polarizability and diffusion coefficient). Overall, these findings emphasize that predicting hydraulic properties from electrical measurements in fine‐grained rocks remains challenging and requires further investigation into the electrochemical properties involved.
Punishment-resistant alcohol intake is mediated by the nucleus accumbens shell in female rats
Authors: McDonald Allison J. , Nemat Panthea , van ‘t Hullenaar Thijs , Schetters Dustin , van Mourik Yvar , Alonso-Lozares Isis , De Vries Taco J. , Marchant Nathan J.
Published: July 2024

Alcohol use is widespread across many societies. While most people can control their alcohol use, a vulnerable sub-population develops alcohol use disorder, characterized by continued alcohol use despite negative consequences. We used a rat model of alcohol self-administration despite negative consequences to identify brain activity associated with this addiction-like behaviour. We and others have previously shown that response-contingent punishment of alcohol self-administration with mild footshock reliably identifies two sub-populations. One group substantially decreases alcohol self-administration in the face of punishment (punishment-sensitive, controlled) and another group continues alcohol self-administration despite negative consequences (punishment-resistant, addiction-like behaviour). In this study, we aimed to validate this model in females and identify associated brain regions. We trained Long-Evans outbred rats (n = 96) to self-administer 20% ethanol, and then introduced response-contingent footshock. We found that female rats consumed more alcohol in unpunished and punished sessions compared to male rats. In one group of rats (n = 24, m/f), we identified neuronal activity associated with punishment-resistant alcohol self-administration using the neurobiological marker of activity cFos. We found lower cFos expression in NAcSh associated with punishment-resistant alcohol self-administration. In another group of rats (n = 72, m/f), we used chemogenetic inhibition of NAcSh during punished alcohol self-administration. We found that chemogenetic NAcSh inhibition had no effect on unpunished alcohol self-administration but selectively increased punished alcohol self-administration in punishment-resistant female rats. These results indicate that more female rats develop punishment-resistant alcohol consumption, and that NAcSh hypofunction may underlie this phenotype.
Enhancers associated with unstable RNAs are rare in plants
Authors: McDonald Bayley R. , Picard Colette L. , Brabb Ian M. , Savenkova Marina I. , Schmitz Robert J. , Jacobsen Steven E. , Duttke Sascha H.
Published: July 2024

Unstable transcripts have emerged as markers of active enhancers in vertebrates and shown to be involved in many cellular processes and medical disorders. However, their prevalence and role in plants is largely unexplored. Here, we comprehensively captured all actively initiating (nascent) transcripts across diverse crops and other plants using capped small (cs)RNA sequencing. We discovered that unstable transcripts are rare in plants, unlike in vertebrates, and when present, often originate from promoters. In addition, many ‘distal’ elements in plants initiate tissue-specific stable transcripts and are likely bona fide promoters of as-yet-unannotated genes or non-coding RNAs, cautioning against using reference genome annotations to infer putative enhancer sites. To investigate enhancer function, we integrated data from self-transcribing active regulatory region (STARR) sequencing. We found that annotated promoters and other regions that initiate stable transcripts, but not those marked by unstable or bidirectional unstable transcripts, showed stronger enhancer activity in this assay. Our findings underscore the blurred line between promoters and enhancers and suggest that cis-regulatory elements can encompass diverse structures and mechanisms in eukaryotes, including humans.
GAIN2 trial overall survival with intense versus tailored dose dense chemotherapy in early breast cancer
Authors: Möbus Volker , Lück Hans-Joachim , Ladda Ekkehart , Klare Peter , Engels Knut , Schmidt Marcus , Schneeweiss Andreas , Grischke Eva-Maria , Wachsmann Grischa , Forstbauer Helmut , Untch Michael , Marmé Frederik , Blohmer Jens-Uwe , Jackisch Christian , Huober Jens , Stickeler Elmar , Reinisch Mattea , Link Theresa , Sinn Bruno , Janni Wolfgang , Denkert Carsten , Seiler Sabine , Solbach Christine , Schmatloch Sabine , Rey Julia , Loibl Sibylle
Published: July 2024

GAIN-2 trial evaluated the optimal intense dose-dense (idd) strategy for high-risk early breast cancer. This study reports the secondary endpoints pathological complete response (pCR) and overall survival (OS). Patients (n = 2887) were randomized 1:1 between idd epirubicin, nab-paclitaxel, and cyclophosphamide (iddEnPC) versus leukocyte nadir-based tailored regimen of dose-dense EC and docetaxel (dtEC-dtD) as adjuvant therapy, with neoadjuvant therapy allowed after amendment. At median follow-up of 6.5 years (overall cohort) and 5.7 years (neoadjuvant cohort, N = 593), both regimens showed comparable 5-year OS rates (iddEnPC 90.8%, dtEC-dtD 90.0%, p = 0.320). In the neoadjuvant setting, iddEnPC yielded a higher pCR rate than dtEC-dtD (51.2% vs. 42.6%, p = 0.045). Patients achieving pCR had significantly improved 5-year iDFS (88.7% vs. 70.1%, HR 0.33, p < 0.001) and OS rates (93.9% vs. 83.1%, HR 0.32, p < 0.001), but OS outcomes were comparable regardless of pCR status. Thus, iddEnPC demonstrates superior pCR rates compared to dtEC-dtD, yet with comparable survival outcomes.
Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting
Authors: Oh Seung-Hyun Victor , Yoo Su-Hyun , Jang Woosun
Published: July 2024

Aiming toward a sustainable energy era, the design of efficient photocatalysts for water splitting by engineering their band properties has been actively studied. One promising avenue for the band engineering of active photocatalysts is the use of solid-solution alloying. However, the enormous possible configurations of multicomponent alloys hinders the experimental screening of this multidimensional material space, providing an opportunity for machine learning (ML) approaches to help accelerate the discovery of new multicomponent alloy materials. A conventional prerequisite for ML approaches is a large database of accurate material properties, which may require exhaustive computational and/or experimental resources. This study demonstrates that the screening of solid-solution alloys (up to hexanary systems) can be performed using a small database to minimize (and optimize) the number of high-level computational calculations. Specifically, we use ZnTe-based alloys as a prototypical example and employ a secure independent screening and sparsifing operator with the recently developed agreement method (α-method). Furthermore, we discuss and propose design routes to determine the optimal solid-solution ZnTe-based alloys for photoassisted water-splitting reactions.
Distinct dynamics of parental 5-hydroxymethylcytosine during human preimplantation development regulate early lineage gene expression
Authors: Liang Dan , Yan Rui , Long Xin , Ji Dongmei , Song Bing , Wang Mengyao , Zhang Fan , Cheng Xin , Sun Fengyuan , Zhu Ran , Hou Xinling , Wang Tianjuan , Zou Weiwei , Zhang Ying , Pu Zhixin , Zhang Jing , Zhang Zhiguo , Liu Yajing , Hu Yuqiong , He Xiaojin , Cao Yunxia , Guo Fan
Published: July 2024

The conversion of DNA 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC) by TET enzymes represents a significant epigenetic modification, yet its role in early human embryos remains largely unknown. Here we showed that the early human embryo inherited a significant amount of 5hmCs from an oocyte, which unexpectedly underwent de novo hydroxymethylation during its growth. Furthermore, the generation of 5hmC in the paternal genome after fertilization roughly followed the maternal pattern, which was linked to DNA methylation dynamics and regions of sustained methylation. The 5hmCs persisted until the eight-cell stage and exhibited high enrichment at OTX2 binding sites, whereas knockdown of OTX2 in human embryos compromised the expression of early lineage genes. Specifically, the depletion of 5hmC affected the activation of embryonic genes, which was further evaluated by ectopically expressing mouse Tet3 in human early embryos. These findings revealed distinct dynamics of 5hmC and unravelled its multifaceted functions in early human embryonic development.