bluuebunny/crossref_metadata_2025 huggingface dataset:
Caffeine’s complex influence on the attraction effect: a mixed bag of outcomes
Authors: Canty Michael , Lang Felix Josua , Adler Susanne Jana , Lichters Marcel , Sarstedt Marko
Published: November 2023

Psychological state alterations induced by substance-related physiological mechanisms affect consumer decision-making. We examine the influence of caffeine—the world’s most popular psychostimulant—on the attraction effect. In three double-blinded experiments, we show that caffeine intake via coffee influences consumers’ preference for product options that asymmetrically dominate a decoy option in choice sets (i.e., the attraction effect). Using real products in consequential choice tasks, we show that high caffeine intake (200 mg) is associated with a larger attraction effect both on between-subjects and within-subjects levels and in free-choice as well as forced-choice decision tasks. On the contrary, we do not find support for caffeine’s influence on the attraction effect when considering intermediate levels of caffeine intake (125 mg) and hypothetical decisions. We discuss theoretical implications for context effect research and practical implications for marketers.
The harm threshold and Mill’s harm principle
Authors: Taylor Maggie
Published: November 2023

The Harm Threshold (HT) holds that the state may interfere in medical decisions parents make on their children’s behalf only when those decisions are likely to cause serious harm to the child. Such a high bar for intervention seems incompatible with both parental obligations and the state’s role in protecting children’s well-being. In this paper, I assess the theoretical underpinnings for the HT, focusing on John Stuart Mill’s Harm Principle as its most plausible conceptual foundation. I offer (i) a novel, text-based argument showing that Mill’s Harm Principle does not give justificatory force to the HT; and (ii) a positive account of some considerations which, beyond significant harm, would comprise an intervention principle normatively grounded in Mill’s ethical theory. I find that substantive recommendations derived from Mill’s socio-political texts are less laissez-faire than they have been interpreted by HT proponents. Justification for state intervention owes not to the severity of a harm, but to whether that harm arises from the failure to satisfy one’s duty. Thus, a pediatric intervention principle derived from Mill ought not to be oriented around the degree of harm caused by a parent’s healthcare decision, but rather, the kind of harm—specifically, whether the harm arises from violation of parental obligation. These findings challenge the interpretation of Mill adopted by HT proponents, eliminating a critical source of justification for a protected domain of parental liberty and reorienting the debate to focus on parental duties.
Democratizing AI from a Sociotechnical Perspective
Authors: Noorman Merel , Swierstra Tsjalling
Published: November 2023

Artificial Intelligence (AI) technologies offer new ways of conducting decision-making tasks that influence the daily lives of citizens, such as coordinating traffic, energy distributions, and crowd flows. They can sort, rank, and prioritize the distribution of fines or public funds and resources. Many of the changes that AI technologies promise to bring to such tasks pertain to decisions that are collectively binding. When these technologies become part of critical infrastructures, such as energy networks, citizens are affected by these decisions whether they like it or not, and they usually do not have much say in them. The democratic challenge for those working on AI technologies with collectively binding effects is both to develop and deploy technologies in such a way that the democratic legitimacy of the relevant decisions is safeguarded. In this paper, we develop a conceptual framework to help policymakers, project managers, innovators, and technologists to assess and develop approaches to democratize AI. This framework embraces a broad sociotechnical perspective that highlights the interactions between technology and the complexities and contingencies of the context in which these technologies are embedded. We start from the problem-based and practice-oriented approach to democracy theory as developed by political theorist Mark Warren. We build on this approach to describe practices that can enhance or challenge democracy in political systems and extend it to integrate a sociotechnical perspective and make the role of technology explicit. We then examine how AI technologies can play a role in these practices to improve or inhibit the democratic nature of political systems. We focus in particular on AI-supported political systems in the energy domain.
‘And You Shall Know That I am the Lord’: The Wanderer and the Book of Ezekiel
Authors: Burns Rachel A.
Published: November 2023

The ruined-city motif in the Old English poem The Wanderer (lines 73–87) has long been read as a reflex of traditional Germanic diction, and as a symbol of material transience. In line with more recent biblical readings of the poem, this paper identifies a number of analogues and possible sources for both the excidio urbis image and other images of transience, in the biblical Book of Ezekiel. Among these correspondences between The Wanderer and the prophetic biblical narrative are references to scavenging animals, traditionally read as Germanic ‘beasts of battle’ when encountered in the Old English elegies. Reading this passage alongside Gregory the Great’s Homilies on Ezekiel further illuminates how the poem’s structure and changing use of tense corresponds with contemporary thought on the revelatory processes of prophecy. It is here proposed that the Old English poet has chosen to use images and devices which resonate with both biblical and traditional vernacular poetic diction.
Maintaining Program Fidelity in a Changing World: National Implementation of a School-Based HIV Prevention Program
Authors: Schieber Elizabeth , Deveaux Lynette , Cotrell Lesley , Li Xiaoming , Lemon Stephenie C. , Ash Arlene S. , MacDonell Karen , Ghosh Samiran , Poitier Maxwell , Rolle Glenda , Naar Sylvie , Wang Bo
Published: November 2023

Large-scale, evidence-based interventions face challenges to program fidelity of implementation. We developed implementation strategies to support teachers implementing an evidence-based HIV prevention program in schools, Focus on Youth in The Caribbean (FOYC) and Caribbean Informed Parents and Children Together (CImPACT) in The Bahamas. We examined the effects of these implementation strategies on teachers’ implementation in the subsequent year after the initial implementation during the COVID-19 pandemic. Data were collected from 79 Grade 6 teachers in 24 government elementary schools. Teachers completed training workshops and a pre-implementation questionnaire to record their characteristics and perceptions that might affect their program fidelity. School coordinators and peer mentors provided teachers with monitoring, feedback, and mentoring. In Year 1, teachers on average taught 79.3% of the sessions and 80.8% of core activities; teachers in Year 2 covered 84.2% of sessions and 72.9% of the core activities. Teachers with “good” or “excellent” school coordinators in the second year taught significantly more sessions on average (7.8 vs. 7.0, t = 2.04, P < 0.05) and more core activities (26.3 vs. 23.0, t = 2.41, P < 0.05) than teachers with “satisfactory” coordinators. Teachers who had a “good” or “satisfactory” mentor taught more sessions than teachers who did not have a mentor (7.9 vs. 7.3; t = 2.22; P = 0.03). Two-level mixed-effects model analysis indicated that teachers’ program fidelity in Year 1, confidence in the execution of core activities, and school coordinators’ performance were significantly associated with Year 2 implementation dose. Implementation of FOYC + CImPACT was significantly associated with improved student outcomes. Teachers maintained high fidelity to a comprehensive HIV prevention program over 2 years during the COVID-19 pandemic. Future program implementers should consider additional implementation support to improve the implementation of school-based programs.
Relations between academic reputation and innovation networks
Authors: Calignano Giuseppe , Winsents Elisabeth
Published: November 2023

Previous empirical analyses have revealed the characteristics a university should possess to be associated with engagement in competitive international innovation programs. Within this context, this paper aimed to assess the importance of academic reputation in determining high-level participation in the most recently concluded European Union Framework Program (i.e., Horizon 2020). By considering three countries (i.e., Italy, Sweden, and the United Kingdom), and using qualitative comparative analysis (QCA), we showed that academic reputation is a key condition among high-scoring universities above a certain threshold (i.e., top 25% organizations). This finding should lead to further research and has policy implications. It is essential to integrate better those organizations considered less prestigious into targeted, highly competitive funding schemes to foster more widespread, even participation.
Teachers’ support for growth mindset and its links with students’ growth mindset, academic engagement, and achievements in lower secondary school
Authors: Vestad Lene , Bru Edvin
Published: November 2023

Academic engagement has been shown to deteriorate in lower secondary school, and it is necessary to find ways to prevent this so that students’ engagement and achievements do not decline irrevocably. Teacher support for growth mindset (TSGM) is likely to influence students’ mindsets while also promoting academic engagement and achievement. This cross-sectional study first examined the extent to which lower secondary school students (N = 1608) perceived their teachers’ classroom pedagogy as supportive of their growth mindset and students’ growth mindset beliefs. The study’s main purpose was to test a latent structural equation model specifying that perceived TSGM is directly related to students’ growth mindset, directly and indirectly related to academic engagement (behavioral and emotional), and indirectly related to academic achievement. Students’ perceived growth mindset and academic engagement thus served as intermediate variables. The results verified that TSGM was indeed related to growth mindset and academic engagement, the latter both directly and via students’ perceived growth mindset. Furthermore, TSGM was also related to academic achievement via students’ growth mindset and academic engagement. The results suggest that TSGM can facilitate students’ growth mindset and academic engagement and, thereby, achievement in lower secondary school, a period during which students may struggle with academic motivation.
Objective and owner-reported outcomes after modified cranial closing wedge ostectomy: a case series
Authors: Kovacs Jenny M. , Mazdarani Parisa , Nielsen Michelle B. M. , Miles James E.
Published: November 2023

Immediate and longer-term outcomes of a cranial closing wedge ostectomy variant for management of canine cranial cruciate ligament disease were assessed in this single-center retrospective consecutive study. Records and radiographs were retrieved and assessed by three independent observers to evaluate tibial plateau angle, anatomical-mechanical axis angle, tibial tuberosity distalization, and mechanical axis length before and after surgery. Kinetic gait analysis and owner questionnaires were used to assess clinical outcomes. Seventeen stifles from fifteen dogs were evaluated radiographically. Mean error from target tibial plateau angle was 0.4 degrees. Anatomical-mechanical axis angles reduced from mean 2.9 degrees preoperatively to mean − 0.9 degrees postoperatively. Tibial tuberosity distalization was mean 5.0% of mechanical axis length, and mean reduction in mechanical axis length was 0.1%. Increased tibial plateau angles were noted in 8/17 stifles, with a mean of 9.6 degrees at short-term follow-up. Major complications were observed in 9/17 stifles. Long term follow-up (mean 832 days) was obtained with gait analysis in 8/15 dogs and with questionnaire in 11/15. Most dogs (9/11) were weakly to moderately affected by osteoarthritis symptoms. All values for peak vertical force and vertical impulse normalized to body weight exceeded local lower reference limits for normal dogs, indicating acceptable limb use. Satisfactory immediate and long-term clinical outcomes appear to be possible with this technique, but the high incidence of shorter-term complications may caution against the technique or the fixation and management described here.
An improved reference genome and first organelle genomes of Quercus suber
Authors: Usié Ana , Serra Octávio , Barros Pedro M. , Barbosa Pedro , Leão Célia , Capote Tiago , Almeida Tânia , Rodrigues Leandra , Carrasquinho Isabel , Guimarães Joana B. , Mendoça Diogo , Nóbrega Filomena , Egas Conceição , Chaves Inês , Abreu Isabel A. , Saibo Nelson J. M. , Marum Liliana , Varela Maria Carolina , Matos José , Simões Fernanda , Miguel Célia M. , Oliveira M. Margarida , Ricardo Cândido P. , Gonçalves Sónia , Ramos António Marcos
Published: November 2023

Cork oak (Quercus suber L.) is an ecologically and economically important evergreen tree species native to the Mediterranean region and widespread in southwest Europe and northwest Africa. An improved genome assembly of cork oak using a combination of Illumina and PacBio sequencing is presented in this study. The assembled genome contains 2351 scaffolds longer than 1000 bp, accounting for 765.7 Mbp of genome size, L90 of 755, and a N50 of 1.0 Mbp, with 40,131 annotated genes. The repetitive sequences constitute 53.6% of the genome. The genome sequences of chloroplast and mitochondrion were determined for the first time, with a genome size of 161,179 bp and 531,858 bp, respectively. Phylogenetic analysis based on complete chloroplast genome sequence showed that Q. suber is closely related to Quercus variabilis, two cork-producing species with commercial use. All data generated are available through the public databases, being ready to be used without restrictions. This study provides an improved nuclear genome assembly together with the organelle genomes of cork oak. These resources will be useful for further breeding strategies and conservation programs and for comparative genomic studies in oak species.
A Note on Improving Variational Estimation for Multidimensional Item Response Theory
Authors: Ma Chenchen , Ouyang Jing , Wang Chun , Xu Gongjun
Published: November 2023

Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational challenge of estimating MIRT models prohibits its wide use because many of the extant methods can hardly provide results in a realistic time frame when the number of dimensions, sample size, and test length are large. Instead, variational estimation methods, such as Gaussian variational expectation–maximization (GVEM) algorithm, have been recently proposed to solve the estimation challenge by providing a fast and accurate solution. However, results have shown that variational estimation methods may produce some bias on discrimination parameters during confirmatory model estimation, and this note proposes an importance-weighted version of GVEM (i.e., IW-GVEM) to correct for such bias under MIRT models. We also use the adaptive moment estimation method to update the learning rate for gradient descent automatically. Our simulations show that IW-GVEM can effectively correct bias with modest increase of computation time, compared with GVEM. The proposed method may also shed light on improving the variational estimation for other psychometrics models.
Long-term effect of municipal solid waste compost on the recovery of a potentially toxic element (PTE)-contaminated soil: PTE mobility, distribution and bioaccessibility
Authors: Caporale Antonio Giandonato , Porfido Carlo , Roggero Pier Paolo , Di Palma Anna , Adamo Paola , Pinna Maria Vittoria , Garau Giovanni , Spagnuolo Matteo , Castaldi Paola , Diquattro Stefania
Published: November 2023

Compost from municipal solid waste (MSWC) can represent a resource for the environmental management of soils contaminated with potentially toxic elements (PTEs), since it can reduce their mobility and improve soil fertility. However, the long-term impact of compost on soil recovery has been poorly investigated. To this end, the influence of a MSWC added at different rates (i.e. 1.5, 3.0 and 4.5% w/w) to a multi-PTE-contaminated (e.g. Sb 412 mg kg−1, Pb 2664 mg kg−1 and Zn 7510 mg kg−1) sub-acidic soil (pH 6.4) was evaluated after 6 years since its addition. The MSWC significantly enhanced soil fertility parameters (i.e. total organic carbon, Olsen P and total N) and reduced the PTE labile fractions. The distribution maps of PTEs detected through µXRF analysis revealed the presence of Zn and Pb carbonates in the amended soils, or the formation of complexes between these PTEs and the functional groups of MSWC. A higher oral, inhalation and dermal bioaccessibility of each PTE was detected in the soil fine-grained fractions (< 2 and 2–10 µm) than in coarse particles (10–20 and 20–50 µm). The MSWC amendment generally did not modify the PTE bioaccessibility, while the relative bioaccessibility of cationic PTEs was greater than that of anionic ones (e.g. Cd > Zn > Pb > Sb > As). Pb and Sb showed the highest hazard quotients (e.g. 2.2 and 10 for Sb and Pb, respectively, in children). Overall, the results indicated that the MSWC used can be an effective option for the recovery of PTE-contaminated soils, even in the long term.
Climate change and anthropogenic activities shrink the range and dispersal of an endangered primate in Sichuan Province, China
Authors: Dai Yunchuan , Li Dayong
Published: November 2023

The golden snub-nosed monkey (Rhinopithecus roxellana) is a rare and endemic species in China. The population of golden snub-nosed monkeys in Sichuan Province has an isolated genetic status, large population size, and low genetic diversity, making it highly vulnerable to environmental changes. Our study aimed to evaluate the potential impact of climate and land-use changes on the distribution and dispersal paths of the species in Sichuan Province. We used three general circulation models (GCMs), three greenhouse gas emission scenarios, and three land-use change scenarios suitable for China to predict the potential distributions of the golden snub-nosed monkey in the current and 2070s using the MaxEnt model. The dispersal paths were identified by the circuit theory. Our results suggested that the habitats of the golden snub-nosed monkey were reduced under all three GCM scenarios. The suitable habitats for the golden snub-nosed monkey would be reduced by 82.67%, 82.47%, and 75.17% under the RCP2.6, RCP4.5, and RCP8.5 scenarios, respectively, compared to the currently suitable habitat area. Additionally, we found that the density of future dispersal paths of golden snub-nosed monkeys would decrease, and the dispersal resistance would increase. Therefore, relevant wildlife protection agencies should prioritize the climatically suitable distributions and key dispersal paths of golden snub-nosed monkeys to improve their conservation. We identified key areas for habitat preservation and increased habitat connectivity under climate change, which could serve as a reference for future adaptation strategies.
Generalizable process monitoring for FFF 3D printing with machine vision
Authors: Werkle Kim Torben , Trage Caroline , Wolf Jan , Möhring Hans-Christian
Published: November 2023

Additive manufacturing has experienced a surge in popularity in both commercial and private sectors over the past decade due to the growing demand for affordable and highly customized products, which are often in direct opposition to the requirements of traditional subtractive manufacturing. Fused Filament Fabrication (FFF) has emerged as the most widely-used additive manufacturing technology, despite challenges associated with achieving contour accuracy. To address this issue, the authors have developed a novel camera-based process monitoring method that enables the detection of errors in the printing process through a layer-by-layer comparison of the actual contour and the target contour obtained via G-Code processing. This method is generalizable and can be applied to different printer models with minimal hardware adjustments using off-the-shelf components. The authors have demonstrated the effectiveness of this method in automatically detecting both coarse and small contour deviations in 3D-printed parts.
Recent developments in using digital technology in mathematics education
Authors: Engelbrecht Johann , Borba Marcelo C.
Published: November 2023

In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of the mathematics classroom. We also address the increasing use of computer algebra systems and dynamic geometry packages; and the issue of student collaboration online, especially using learning environments and social media. We briefly touch on artificial intelligence systems, including hyper-personalisation of learning, multimodality and videos. We include a brief discussion on the impact of COVID-19 on mathematics education, and lastly on the more theoretical perspective of the epistemology of digital technology and the construct of humans-with-media. We conclude the discussion with some possible concerns and mentioning some possible new topics for research in the field.
Immune Priming with Spatially Fractionated Radiation Therapy
Authors: Lukas Lauren , Zhang Hualin , Cheng Karen , Epstein Alan
Published: November 2023

Purpose of Review

This review aims to summarize the current preclinical and clinical evidence of nontargeted immune effects of spatially fractionated radiation therapy (SFRT). We then highlight strategies to augment the immunomodulatory potential of SFRT in combination with immunotherapy (IT).

Recent Findings

The response of cancer to IT is limited by primary and acquired immune resistance, and strategies are needed to prime the immune system to increase the efficacy of IT. Radiation therapy can induce immunologic effects and can potentially be used to synergize the effects of IT, although the optimal combination of radiation and IT is largely unknown. SFRT is a novel radiation technique that limits ablative doses to tumor subvolumes, and this highly heterogeneous dose deposition may increase the immune-rich infiltrate within the targeted tumor with enhanced antigen presentation and activated T cells in nonirradiated tumors.

The understanding of nontargeted effects of SFRT can contribute to future translational strategies to combine SFRT and IT. Integration of SFRT and IT is an innovative approach to address immune resistance to IT with the overall goal of improving the therapeutic ratio of radiation therapy and increasing the efficacy of IT.
The endocrine disruptor cadmium modulates the androgen–estrogen receptors ratio and induces inflammatory cytokines in luminal (A) cell models of breast cancer
Authors: Bimonte Viviana M. , Catanzaro Giuseppina , Po Agnese , Trocchianesi Sofia , Besharat Zein Mersini , Spinello Zaira , Curreli Mariaignazia , Fabi Alessandra , Bei Roberto , Milella Michele , Vacca Alessandra , Ferretti Elisabetta , Migliaccio Silvia
Published: November 2023

Purpose

Breast cancer (BC) is the most common malignancy that affects women, and it is, to date, their leading cause of death. Luminal A molecular subtype accounts for 40% of BC and is characterized by hormone receptors positive/human epidermal growth factor 2 expression and current treatment consists of surgery plus aromatase inhibitor therapy. Interestingly, several studies demonstrated that the heavy metal cadmium (Cd), classified as a group 1 human carcinogen and widely spread in the environment, exerts estrogen-like activities in several tissues and suggested an intriguing relationship between increased Cd exposure and BC incidence. Thus, aim of this study was to evaluate effects of Cd on Luminal A BC estrogen receptor (ER) positive/progesterone receptor positive cell models in vitro to characterize the mechanism(s) involved in breast cell homeostasis disruption.

Methods

T47D and MCF7 were exposed to Cd (0.5–1 µM) for 6–24 h to evaluate potential alterations in: cells viability, steroid receptors and intracellular signaling by western blot. Moreover, we evaluated the expression of inflammatory cytokines interleukin by RT-PCR.

Results

Our results showed a significant induction of androgen receptor (AR) and an increased AR/ER ratio. Further, Cd exposure increased pro-inflammatory cytokines interleukin (IL)6, IL8 and tumor necrosis factor α levels. Finally, as previously demonstrated by our group, Cd alters pathways such as mitogen-activated protein kinase family and protein kinase B.

Conclusion

In conclusion, our study demonstrates that Cd modifies the expression and pattern of ERs and AR in BC cell lines, suggesting an alteration of BC cells homeostasis, likely predisposing to a carcinogenetic microenvironment.
Organised Crime and the ecosystems of sexual exploitation in the United Kingdom: How supply and demand generate sexual exploitation and protection from prosecution
Authors: Hopkins Matt , Keighley Rachel , Sanders Teela
Published: November 2023

Thinking about organised crime as an ecosystem is not only novel but also offers much potential to add to the theoretical and policy-based literature in this area. While organised crime is often analysed as relationships between criminal groups and consumers of illicit goods/services, little work has analysed specific forms of organised crime activities as ecosystems where different constituent parts are dependent upon each other for the crime activity to occur. This paper analyses the organisation of sexual exploitation by entrepreneurial organised crime groups selling sex in the United Kingdom. Based upon 30 interviews with 23 law enforcement forces in England and Wales and five interviews with Adult Service Website Operators; it identifies how an ecosystem is built that ensures (a) profit generation and (b) avoidance of legal prosecution. Our analysis not only illustrates how a market ‘supply’ and ‘demand’ ecosystem is generated through mutually convenient ‘organiser’, ‘marketer’ and ‘buyer’ relationships, but also how the roles of these actors ensure sexual exploitation continues.
Development and Application of Isotope Labelled Internal Standards in a Sum Parameter Method for Ergot Alkaloid Screening of Food
Authors: Kuner Maximilian , Lisec Jan , Picher Marie-Idrissa , Rigo Massimo , Konetzki Jörg , Haase Hajo , Koch Matthias
Published: November 2023

Ergot alkaloids are a group of toxic compounds, formed by fungi on infested grasses. In 2022, the European Commission set into effect maximum levels for the sum of the twelve major ergot alkaloids in multiple foods. To facilitate the laborious and costly individual quantification of the twelve major ergot alkaloids by HPLC–MS/MS or -FLD, we recently reported a sum parameter method (SPM) for ergot alkaloid quantification. Here, derivatization to lysergic acid hydrazide—a derivative of the mutual ergoline backbone in all ergot alkaloids—allowed simplified determination of all ergot alkaloids in flour via HPLC-FLD. For the measurement of more complex matrices like processed foods, we now developed a MS/MS-based SPM. Two internal standards (IS), isotopically labelled at different positions of the molecule, were synthesized and employed in the MS/MS-measurements. Method performance using either the 13CD3-labelled or the 15N2-labelled IS was evaluated on naturally contaminated rye and wheat flour samples as well as on processed food matrices. Employing the 13CD3-labelled IS leads to lower variances and better consistency with the reference data (obtained by the FLD-based SPM) in flour samples compared to the 15N2-labelled IS. The novel method significantly improves the measurement of ergot alkaloids in complex food matrices, due to their increased selectivity and thus lower interferences. Furthermore, the application of isotope labelled IS obviates the need for time-consuming steps like the determination of recovery rate based, matrix specific correction factors as described in the MS/MS-based European standard method for ergot alkaloid quantification (EN 17425).
MFG-E8 Alleviates Cognitive Impairments Induced by Chronic Cerebral Hypoperfusion by Phagocytosing Myelin Debris and Promoting Remyelination
Authors: Dong Xiaohong , Zhang Zhi , Shu Xin , Zhuang Zi , Liu Pinyi , Liu Renyuan , Xia Shengnan , Bao Xinyu , Xu Yun , Chen Yan
Published: November 2023

Chronic cerebral hypoperfusion is one of the pathophysiological mechanisms contributing to cognitive decline by causing white matter injury. Microglia phagocytosing myelin debris in a timely manner can promote remyelination and contribute to the repair of white matter. However, milk fat globule-epidermal growth factor-factor 8 (MFG-E8), a microglial phagocytosis-related protein, has not been well studied in hypoperfusion-related cognitive dysfunction. We found that the expression of MFG-E8 was significantly decreased in the brain of mice after bilateral carotid artery stenosis (BCAS). MFG-E8 knockout mice demonstrated more severe BCAS-induced cognitive impairments in the behavioral tests. In addition, we discovered that the deletion of MFG-E8 aggravated white matter damage and the destruction of myelin microstructure through fluorescent staining and electron microscopy. Meanwhile, MFG-E8 overexpression by AAV improved white matter injury and increased the number of mature oligodendrocytes after BCAS. Moreover, in vitro and in vivo experiments showed that MFG-E8 could enhance the phagocytic function of microglia via the αVβ3/αVβ5/Rac1 pathway and IGF-1 production to promote the differentiation of oligodendrocyte progenitor cells into mature oligodendrocytes. Interestingly, we found that MFG-E8 was mainly derived from astrocytes, not microglia. Our findings suggest that MFG-E8 is a potential therapeutic target for cognitive impairments following cerebral hypoperfusion.
Seasonal variations of potentially toxic elements (PTEs) in drinking water and health risk assessment via Monte Carlo simulation and Sobol sensitivity analysis in southern Iran's largest city
Authors: Mohammadpour Amin , Rajabi Saeed , Bell Michelle , Baghapour Mohammad Ali , Aliyeva Aynura , Mousavi Khaneghah Amin
Published: November 2023

The escalating concern over the presence and health implications of potentially toxic elements (PTEs) in drinking water has underscored the need for rigorous risk assessments. Our study aimed to quantify both the non-carcinogenic and carcinogenic health risks associated with exposure to selected PTEs—namely arsenic (As), chromium (Cr), and cadmium (Cd). Also, we evaluated ingestion and skin contact exposures to risks during summer and winter using metrics such as the hazard quotient (HQ), hazard index (HI), and cancer risk (CR) for children, adult males, and adult females. For all demographic groups and exposure pathways, the HQ values remain below the established safety threshold (HQ < 1). Notably, As consistently had the highest average HI value across children, male adults, and female adults. Seasonal variations were statistically significant (p < 0.05) for As and Cr, but not Cd. During the summer, the average total carcinogenic risks (TCR) from drinking water exposure were 7.61 × 10–6, 8.94 × 10–6, and 1.12 × 10–5 for children, male adults, and female adults, respectively. In the winter, these values were 1.18 × 10–5, 1.40 × 10–5, and 1.75 × 10–5, respectively. The fuzzy C-means clustering analysis provided insights into our dataset's Cr, Cd, and As distribution patterns. Results indicate that As, Cr, and Cd mean concentrations were below the World Health Organization health-based guidelines. The CR values for children and adults from drinking water exposure were slightly above or below the US Environmental Protection Agency’s standards. These findings can inform research and policy-making regarding the risk of PTEs in drinking water and highlight the need to monitor Shiraz water regularly.
Utilizing of aquifer hydraulic parameters to assess the groundwater sustainability in the new reclamation area of Moghra Oasis: Western Desert—Egypt
Authors: El Osta Maged , Masoud Milad , Alqarawy Abdulaziz , Badran Osman
Published: November 2023

The sustainability of groundwater aquifers requires evaluating several parameters, the most important of which are hydraulic parameters. Therefore, the essential aim of this research is to develop a management plan for the Moghra aquifer in order to prevent the expanding of water level decline and degradation of groundwater quality due to overexploitation and scarcity of recharge. To achieve this goal, all aquifer hydraulic parameters such as transmissivity, hydraulic conductivity, radius of interference, specific capacity, resulted drawdown, well loss, formation loss, well efficiency, and optimum safe yield had been measured for 40 groundwater wells drilled in the new reclaimed areas of Moghra Oasis. Based on geographic information system (GIS), hydrogeological cross sections and thematic maps for all parameters were created such as aquifer thickness, water table, groundwater flow direction, drawdown and groundwater salinity maps. The results revealed that clay and shale beds separated the three water-bearing formations of the Moghra aquifer. The aquifer-saturated thickness ranged from 30 and 102 m, and the groundwater level was below the mean sea level for all wells (ranges from − 72 to − 26.6 m). The calculated hydraulic parameters based on the analysis of long-duration pumping tests indicated that the studied aquifer has a wide variety of transmissivity (T) between 631 and 3768 m2/day, hydraulic conductivity (K) between 13.4 and 104.6 m/day, radius of influence from 126.3 to 581.3 m and specific capacity between 377.14 and 883.72 m2/day. On the other hand, the evaluation of existing drilled wells performance based on the results of step tests showed that well loss coefficient ranges between 0.0004749 and 0.0676 (h2/m5), formation loss coefficient varies from 3.34 × 10–8 to 4.80 × 10–6 (h/m2), well efficiency (γ) ranged from 50.53 to 98.08%, and optimum safe yield ranged from 40 to 98 (m3/h). Results of aquifer mapping and pumping tests can be more important for solving water scarcity issues, non-polluting water issues, health issues, and source of fresh water on the surface of the earth. The characterization of aquifer parameters in the study area, however, should be a significant component in the scientific planning and sustainability of groundwater.
The discharge coefficient of SMBF flumes under free and submerged conditions
Authors: Parsaie Abbas , Dehdar-Behbahani Sadegh , Devi G. Sree Lakshmi , Haghiabi AmirHamzeh , Afaridegan Ehsan
Published: November 2023

In this study, the discharge coefficients (Cd) of SMBF flumes under free and submerged flow conditions were analytically investigated. The dimensionless parameters involved in the discharge coefficient, derived from the dimensional analysis, are the contraction ratio [rcrn = ratio of flume width (w) to channel width (B)], relative head (hw: the ratio of the upstream head (h) to the $$w$$
w
) and, in the case of submerged flow, also the submergence ratio [$$S_{{\text{r}}} = h_{{\text{t}}} /h_{{\text{u}}}$$

S
r

=

h
t

/

h
u

: downstream flow depth ($$h_{{\text{t}}}$$

h
t

) to upstream flow depth (hu)]. Cd decreases logarithmically from 1.2 to 0.75 in the range of $$h_{w}$$

h
w

between 0.4 and 1.8. The submerged condition does not reduce the $$C_{{\text{d}}}$$

C
d

, but it reduces the discharge capacity (up to 50%), so that in some cases, to pass a given flow discharge, $$h_{{\text{u}}}$$

h
u

should increase by about 100% compared to the free condition.
Bio-inspired altitude changing extension to the 3DVFH* local obstacle avoidance algorithm
Authors: Thomessen Karolin , Thoma Andreas , Braun Carsten
Published: November 2023

Obstacle avoidance is critical for unmanned aerial vehicles (UAVs) operating autonomously. Obstacle avoidance algorithms either rely on global environment data or local sensor data. Local path planners react to unforeseen objects and plan purely on local sensor information. Similarly, animals need to find feasible paths based on local information about their surroundings. Therefore, their behavior is a valuable source of inspiration for path planning. Bumblebees tend to fly vertically over far-away obstacles and horizontally around close ones, implying two zones for different flight strategies depending on the distance to obstacles. This work enhances the local path planner 3DVFH* with this bio-inspired strategy. The algorithm alters the goal-driven function of the 3DVFH* to climb-preferring if obstacles are far away. Prior experiments with bumblebees led to two definitions of flight zone limits depending on the distance to obstacles, leading to two algorithm variants. Both variants reduce the probability of not reaching the goal of a 3DVFH* implementation in Matlab/Simulink. The best variant, 3DVFH*b-b, reduces this probability from 70.7 to 18.6% in city-like worlds using a strong vertical evasion strategy. Energy consumption is higher, and flight paths are longer compared to the algorithm version with pronounced horizontal evasion tendency. A parameter study analyzes the effect of different weighting factors in the cost function. The best parameter combination shows a failure probability of 6.9% in city-like worlds and reduces energy consumption by 28%. Our findings demonstrate the potential of bio-inspired approaches for improving the performance of local path planning algorithms for UAV.
Incomplete Data and Potential Risks of Drugs in People with Obesity
Authors: Apovian Caroline M. , Bruno Christopher D. , Kyle Theodore K. , Chow Christina R. , Greenblatt David J.
Published: November 2023

Purpose of Review

To provide examples of knowledge gaps in current pharmaceutical treatments for people with obesity and call for changes to regulatory and pharmaceutical clinical research requirements during the drug discovery and development process.

Recent Findings

Treatment of obesity and its comorbidities often require the use of prescription drugs, many of which have not been fully evaluated in people with obesity. Despite a growing body of research on this topic, the impact of obesity on the pharmacokinetics and pharmacodynamics of drugs is often under-studied by drug sponsors and regulators, and subsequently underappreciated by clinicians and caretakers. There are currently multiple opportunities for pharmaceuticals to include dosing information specifically for patients with obesity in order to ensure safety and efficacy of drugs in this population. Additionally, there are serious gaps between what is known about the effects of obesity on drug disposition and the current use of drugs according to drug prescribing information and clinical practice.

There is currently no requirement to test drugs in people with obesity during the drug approval process, even when preliminary data suggests there may be altered kinetics in this population. The lack of information on the safe and effective use of drugs in people with obesity may be contributing to poorer health outcomes in this population.
Psychostimulant Augmentation of Antidepressant Therapy in Depression: a Systematic Review and Meta-Analysis
Authors: Janela Duarte , Jerónimo Joana , Rema João , Telles-Correia Diogo , Novais Filipa
Published: November 2023

Purpose of Review

To evaluate the effectiveness of psychostimulant augmentation of antidepressants in the treatment of depression in adults.

Recent Findings

In our analysis of 13 RCTs involving 2478 participants, psychostimulant augmentation demonstrated a statistically significant reduction in depressive symptom severity compared to placebo augmentation (N = 1827; SMD =  − 0.18; 95% CI (− 0.36, − 0.01); p = 0.04, I2 = 65%). However, we did not observe a significant increase in remission rates (N = 1709; OR = 1.30; 95% CI (0.97, 1.75); p = 0.08, I2 = 32%).

Depression, a pressing global health issue, is typically treated with antidepressant monotherapy, offering limited relief. Our study introduces a potential breakthrough: psychostimulant augmentation of antidepressants, which significantly alleviates depressive symptoms. Nevertheless, larger high-quality trials evaluating a wider range of drugs are necessary to further explore and strengthen our findings.
Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling
Authors: Wadkin L. E. , Makarenko I. , Parker N. G. , Shukurov A. , Figueiredo F. C. , Lako M.
Published: November 2023

Purpose of Review

To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications.

Recent Findings

hSCs hold great potential in ocular regenerative medicine due to their application in cell-based therapies and in disease modelling and drug discovery using state-of-the-art 2D and 3D organoid models. However, a deeper characterisation of their complex, multi-scale properties is required to optimise their translation to clinical practice. Image analysis combined with computational modelling is a powerful tool to explore mechanisms of hSC behaviour and aid clinical diagnosis and therapy.

Many computational models draw on a variety of techniques, often blending continuum and discrete approaches, and have been used to describe cell differentiation and self-organisation. Machine learning tools are having a significant impact in model development and improving image classification processes for clinical diagnosis and treatment and will be the focus of much future research.
Evaluation of roof cutting by directionally single cracking technique in automatic roadway formation for thick coal seam mining
Authors: Gao Yubing , Gai Qiukai , Zhang Xingxing , Xi Xun , He Manchao
Published: November 2023

Automatic roadway formation by roof cutting is a sustainable nonpillar mining method that has the potential to increase coal recovery, reduce roadway excavation and improve mining safety. In this method, roof cutting is the key process for stress relief, which significantly affects the stability of the formed roadway. This paper presents a directionally single cracking (DSC) technique for roof cutting with considerations of rock properties. The mechanism of the DSC technique was investigated by explicit finite element analyses. The DSC technique and roof cutting parameters were evaluated by discrete element simulation and field experiment. On this basis, the optimized DSC technique was tested in the field. The results indicate that the DSC technique could effectively control the blast-induced stress distribution and crack propagation in the roof rock, thus, achieve directionally single cracking on the roadway roof. The DSC technique for roof cutting with optimized parameters could effectively reduce the deformation and improve the stability of the formed roadway. Field engineering application verified the feasibility and effectiveness of the evaluated DSC technique for roof cutting.
Apparent activation energy of mineral in open pit mine based upon the evolution of active functional groups
Authors: Lu Shipng , Zhao Jingyu , Song Jiajia , Chang Jiaming , Shu Chi-Min
Published: November 2023

This study aimed to investigate the mechanism of mineral spontaneous combustion in an open pit. On the study of coal and mineral mixture in open pit mines, as well as through the specific surface area and Search Engine Marketing (SEM) experiments, the specific surface area and aperture characteristics of distribution of open pit coal sample and pit mineral mixture samples were analyzed. Thermal analysis experiments were used to divide the oxidation process was divided into three stages, and the thermal behavior characteristics of experimental samples were characterized. On the basis of the stage division, we explored the transfer law of the key active functional groups of the experimental samples. The apparent activation energy calculation of the key active groups, performed by combining the Achar differential method with the Coats–Redfern integral method, microstructural and oxidation kinetic properties were revealed. The resulted showed that the mixed sample had high ash, the fixed carbon content was reduced, the specific surface area was far lower than the raw coal, the large aperture distribution was slightly higher than the medium hole, the micropore was exceptionally low, the gas adsorption capacity was weaker than the raw coal, the pit coal sample had the exceedingly more active functional groups, easy to react with oxygen, more likely to occur naturally, and its harm was relatively large. The mixed sample contained the highest C–O–C functional group absorbance. The functional groups were mainly influenced by the self-OH content, alkyl side chain, and fatty hydrocarbon in the sample. The main functional groups of the four-like mixture had the highest apparent activation energy, and the two reactions were higher in the low-temperature oxidation phase.
Elimination mechanism of coal and gas outburst based on geo-dynamic system with stress–damage–seepage interactions
Authors: Xu Lingjin , Fan Chaojun , Luo Mingkun , Li Sheng , Han Jun , Fu Xiang , Xiao Bin
Published: November 2023

Coal and gas outburst is a complex dynamic disaster during coal underground mining. Revealing the disaster mechanism is of great significance for accurate prediction and prevention of coal and gas outburst. The geo-dynamic system of coal and gas outburst is proposed. The framework of geo-dynamic system is composed of gassy coal mass, geological dynamic environment and mining disturbance. Equations of stress–damage–seepage interaction for gassy coal mass is constructed to resolve the outburst elimination process by gas extraction with boreholes through layer in floor roadway. The results show the occurrence of outburst is divided into the evolution process of gestation, formation, development and termination of geo-dynamic system. The scale range of outburst occurrence is determined, which provides a spatial basis for the prevention and control of outburst. The formation criterion and instability criterion of coal and gas outburst are established. The formation criterion F1 is defined as the scale of the geo-dynamic system, and the instability criterion F2 is defined as the scale of the outburst geo-body. According to the geo-dynamic system, the elimination mechanism of coal and gas outburst—‘unloading + depressurization’ is established, and the gas extraction by boreholes through layer in floor roadway for outburst elimination is given. For the research case, when the gas extraction is 120 days, the gas pressure of the coal seam is reduced to below 0.4 MPa, and the outburst danger is eliminated effectively.