bluuebunny/crossref_metadata_2025_split huggingface dataset:
The conduction mechanism and dielectric behavior of cadmium bismuth silicate glasses
Authors: Bala R , Agarwal A , Sanghi S , Gaur S 
Published: November 2023

Abstract
By using the traditional melt-quench method, cadmium bismuth silicate glasses with composition; 20CdO·(80-x)Bi2O3·xSiO2 (10≤x≤50 mol%) were fabricated. Impedance spectroscopy was used to examine the conduction and relaxation mechanisms in prepared glasses over the range of frequency 10Hz–7MHz and temperature 473–703 K. Values of dc conductivity (σdc), the activation energy for dc conduction (Edc), frequency exponent parameter (s), and relaxation energy (Eτ) were extracted from the experimental impedance data. The conductivity spectra follow Jonscher’s power law and the obtained conductivity values were found to be compositional dependent ascribed to the existence of mixed former effect in understudy glasses. The frequency exponent parameter increases with frequency and approaches unity at higher frequencies. For each glass composition, almost equal values of Eτ and Edc show that the charge carriers have to cross a similar energy barrier in relaxation and conduction processes. The exact overlaying of normalized electrical modulus plots as a single master curve signifies temperature-independent dynamical processes at various frequencies.
Investigation on the characterization of hot extruded AA7075 based metal matrix composites developed by powder metallurgy
Authors: Babu B , Meinathan S , Manikandan P , Lingeswaran P , Nanthakumar S , Yasminebegum A , Girimurugan R 
Published: November 2023

Abstract
Higher compressive stress and greater density after extrusion contribute to stronger bonds, which in turn improves mechanical and tribological properties were analyzed. In order to minimize manufacturing defects, a cosine-profiled die with mathematically precise contours was used in the thermo mechanical process. It was requested that more mechanical characterization tests, such as a compression testing and a three-point bending test, be directed to better define the material’s density, hardness, and ductility. Before and after extrusion, the prepared AMCs were put through pin-on-disc (POD) wear testing, during which the RPM of the counter disc, load (N) and track diameter (mm) were varied to simulate different two-body dry sliding wear behaviors. Hot extrusion of AA7075 aluminium matrix composites (AMCs) was investigated for its effect on the materials’ mechanical and tribological properties. These AMCs were manufactured by controlled atmospheric sintering, powder metallurgy and double axial cold compaction. The finely dispersed graphite (Gr) particles shear off at the tribo-surface, creating a solid lubricant that slows the rate of wear. The wear mechanism was found to be more complex when the loading and sliding velocities were increased.
Explosive death in direct and indirectly coupled oscillators: Review
Authors: Sharma Aashima , Sharma Amit 
Published: November 2023

Abstract
The transition in the dynamical behavior in the coupled system has several applications in science. The phase transitions of synchronization and oscillation suppression have both been thoroughly researched for a very long time. The second-order transition, which is continuous and reversible, is demonstrated by the standard results in the vast majority of cases in the coupled system. Recently, the first-order transitions reported in oscillation suppression have been reported in the complex network of the coupled oscillators through direct and indirect interaction. Explosive death is a transition that is not only abrupt but also irreversible in its parameters. We currently have a very good grasp of first order transition in oscillation death in networked systems and a variety of significant contributions and advancements have substantially improved it. Here, we aim to provide a review on the explosive death in various direct and indirect coupled oscillator scenarios while reviewing the previous findings.
Applicability of the equilibrium adsorption isotherms and the statistical tools on to them: a case study for the adsorption of fluoride onto Mg-Fe-CO3 LDH
Authors: Mahajan Tanuj , Paikaray Susanta , Mahajan Pooja 
Published: November 2023

Abstract
The demand for a low-cost, easy-to-use, low-maintenance system of adsorbents for detoxifying wastewater effluents is growing. A proper understanding of adsorption mechanisms, their controls, and adsorbate-adsorbent behavior is essential. Thus, the current study deals with the required understanding of linear equilibrium adsorption isotherm models. The adsorption data of different concentrations of fluoride onto Mg-Fe-CO3 LDH is fitted to isotherm models. The two-parameter models discussed are Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich, whereas the three-parameter model cited is Redlich-Peterson. To identify the best-fitting model(s) in an equilibrium isotherm study to quantitatively represent the relevant sorption system, various error functions and statistical tools, such as average relative error deviation (ARED), sum of square errors (ERRSQ or SSE), hybrid relative error function (HYBRID), Marquardt’s percent standard error deviation (MPSD), sum of absolute errors (EABS), sum of normalized errors (SNE), correlation coefficient of Pearson (r), coefficient of determination (r2), chi-square test (χ2), student’s T-test and F-test were applied. It is found that the Temkin model best fits the isotherm data, and the sorption process occurs over multiple layers as per the Freundlich isotherm and was found to be more promising than Langmuir’s monolayer sorption process. The exothermic physisorption course for the adsorbate-absorbent interactions is deduced from the isotherm parameters.
Little evidence of avoided yield loss in US corn when short-term forecasts correctly predict extreme heat
Authors: Miller Steve J , Clarke Evelyn , Logan Mathews S 
Published: November 2023

Abstract
Successful agricultural adaptation to extreme heat has the potential to avert large crop losses and improve food security. Because adaptation is costly, accurate weather forecasts have the potential to improve targeting of adaptation efforts. To understand the role of short-term (1–7 day) forecasts in reducing heat-related yield loss, we analyze a novel dataset combining corn yields, short-term weather forecasts, and weather realizations in the United States from 2008 to 2021. We find no evidence that forecasts facilitate avoidance of heat-related yield losses on average, and only limited benefits when we allow for forecast benefits to vary with irrigation prevalence. While our results paint a pessimistic picture of in-season adaptation to heat, forecasts may be more valuable for other crops and regions, especially given continuing investment in adaptation technologies.
Characterization and process understanding of tropical cyclone-induced floods derived from observations in Shenzhen, China
Authors: Liu Jingru , Tian Zhan , Dobbie Steven , Ross Andrew N , Sun Laixiang , Ye Qinghua 
Published: November 2023

Abstract
Coastal cities like Shenzhen are confronting escalating flood risks under the combined impact of climate change and rapid urbanization, especially the tropical cyclones (TC)-induced flood. Incorporating the impact of climate change and urbanization on the flood, this study constructed a new TC-induced flood model on western Shenzhen embedded with a unique statistical approach. Based on extensive historical data and machine learning techniques, the temporal characteristics and changes of flooding were revealed. The results reveal an increase in the frequency of TC-induced floods between 1964–2022, especially after the 1990s, which is attributed to a decrease in the distance of the location of the maximum intensity of TCs (observed within an 800 km range of the study area) relative to the land, averaging a reduction of 11.4 km per decade. This shift towards land is likely due to changes in the locations of TC genesis. Furthermore, the ‘rainfall sea level’ threshold for western Shenzhen was accordingly derived from the results of modelling, which would enable decision-makers to quickly assess TC-induced flood risks. The study’s proposed methods offer alternative approaches for predicting TC-induced floods in regions where the gathering of hydro-meteorological data is challenging or where economic and technological resources are limited.
Estimating blurless and noise-free Ir-192 source images from gamma camera images for high-dose-rate brachytherapy using a deep-learning approach
Authors: Nakanishi Kohei , Yamamoto Seiichi , Yabe Takuya , Yogo Katsunori , Noguchi Yumiko , Okudaira Kuniyasu , Kawachi Naoki , Kataoka Jun 
Published: November 2023

Abstract

Objective. Precise monitoring of the position and dwell time of iridium-192 (Ir-192) during high-dose-rate (HDR) brachytherapy is crucial to avoid serious damage to normal tissues. Source imaging using a compact gamma camera is a potential approach for monitoring. However, images from the gamma camera are affected by blurring and statistical noise, which impact the accuracy of source position monitoring. This study aimed to develop a deep-learning approach for estimating ideal source images that reduce the effect of blurring and statistical noise from experimental images captured using a compact gamma camera. Approach. A double pix2pix model was trained using the simulated gamma camera images of an Ir-192 source. The first model was responsible for denoising the Ir-192 images, whereas the second model performed super resolution. Trained models were then applied to the experimental images to estimate the ideal images. Main results. At a distance of 100 mm between the compact gamma camera and the Ir-192 source, the difference in full width at half maximum (FWHM) between the estimated and actual source sizes was approximately 0.5 mm for a measurement time of 1.5 s. This difference has been improved from approximately 2.7 mm without the use of DL. Even with a measurement time of 0.1 s, the ideal images could be estimated as accurately as in the 1.5 s measurements. This method consistently achieved accurate estimations of the source images at any position within the field of view; however, the difference increased with the distance between the Ir-192 source and the compact gamma camera. Significance. The proposed method successfully provided estimated images from the experimental images within errors smaller than 0.5 mm at 100 mm. This method is promising for reducing blurring and statistical noise from the experimental images, enabling precise real-time monitoring of Ir-192 sources during HDR brachytherapy.
Mouse TMC4 is involved in the detection of chloride taste of salts
Authors: Narukawa Masataka , Masago Aya , Murata Momo , Saito Yoshikazu , Kasahara Yoichi , Abe Keiko , Asakura Tomiko 
Published: November 2023

Abstract
Licking behavior with various salts in transmembrane channel-like 4 (Tmc4) knockout (KO) mice was observed. In Tmc4 KO mice, a significant decrease in sensitivity to chloride salts, such as NaCl, KCl, and NH4Cl, was observed, while no significant decrease in sensitivity to Na-gluconate was observed. This finding suggests that TMC4 may be involved in the detection of chloride taste.
Acceptability Criteria of Precision Medicine: Lessons From Patients’ Experiences With the GUIDE-IBD Trial Regarding the Use of Mobile Health Technology
Authors: Erdmann Anke , Schrinner Florian , Rehmann-Sutter Christoph , Franke Andre , Seidler Ursula , Schreiber Stefan , Bozzaro Claudia 
Published: November 2023

Abstract

Background
Research about mobile health technologies for inflammatory bowel diseases reveals that these devices are mainly used to predict or self-report disease activity. However, in the near future these tools can be used to integrate large data sets into machine learning for the development of personalized treatment algorithms. The impact of these technologies on patients’ well-being and daily lives has not yet been investigated.

Methods
We conducted 10 qualitative interviews with patients who used the GUIDE-IBD mHealth technology. This is a special smartphone app for patients to record patient-reported outcomes and a wearable to track physical activity, heart rate, and sleep quality. For data analysis, we used interpretative phenomenological analysis. This method is ideally suited for studying people’s lived experiences.

Results
The analysis of the data revealed 11 themes that were mentioned by at least 3 participants. These themes were: Self-tracking with wearable devices as normality; variable value of the data from the wearable; risk of putting people under pressure; stimulus to reflect on their own well-being and illness; risk of psychological distress; discussion about app data in the medical consultation is very brief or nonexistent; easier to be honest with an app than with a doctor; questionnaires do not always adequately capture the patient’s condition; need for support; the possibility to look at the data retrospectively; and annoyed by additional tasks.

Conclusions
Patients identified benefits, risks, and potentials for improvement, which should be considered in the further development of the devices and patient-reported outcome scales, and in the implementation of usual care.
Morphology-based classification of the flying capacities of aquatic insects: A first attempt
Authors: Gerber Rémi , Piscart Christophe , Roussel Jean-Marc , Bergerot Benjamin 
Published: November 2023

Abstract
Flight is a key feature of the reproduction and dispersal of emerging aquatic insects. However, morphological measurements of insect flight are mostly available for terrestrial taxa and dragonflies, while aquatic insects have been poorly investigated. We analyzed 7 flight-related morphological parameters of 32 taxa belonging to 5 orders of emerging aquatic insects (Ephemeroptera, Trichoptera, Plecoptera, Diptera, and Megaloptera) with different life history traits related to flight (dispersal strategy, voltinism, adult lifespan, and swarming behavior). After correcting for allometry, we used an a priori-free approach to cluster the individuals according to their flight-related morphology. Then, we explored the levels of agreement between these clusters, taxonomy, and several life history traits of the taxa. All orders were scattered among several clusters, suggesting a large range of flight capacities, particularly for Diptera. We found swarming taxa in each cluster, showing that morphological adaptations to swarming are not identical in all aquatic insects. The clusters did not match the expected dispersal capacity of the taxa as derived from the literature or databases. Heavy wide-winged insects notably gathered taxa traditionally described as good or weak dispersers. Flight capacities based on morphology partly matched with the taxonomy and life-history traits of aquatic insect imagoes. Other parameters such as flight propensity, energy stores, and wing kinematics should help refine their flying and dispersal capacity.
Parental job loss and the role of unemployment duration and income changes for children’s education
Authors: Jensen Simon Skovgaard , Lindemann Kristina , Weiss Felix 
Published: November 2023

Abstract
This article studies the impact of parental job loss, subsequent unemployment duration, and income changes on the results of the final exam in lower secondary education and on the decision to pursue an academic track in Denmark. Drawing on administrative register data we use sibling fixed effects models as well as a before-after-test design to investigate the shorter-term effects of parental job loss. The results show that there are hardly any effects of parental job losses on children’s exam results, while we find a reduction in the transition to the academic upper secondary track, both for maternal and paternal job losses. We find no systematic evidence that the negative effects would be larger if the job loss is followed by a longer period of unemployment or by a loss of income, and no evidence for a moderating role of parental education.
StSN2 interacts with the brassinosteroid signaling suppressor StBIN2 to maintain tuber dormancy
Authors: Liu Shifeng , Cai Chengcheng , Li Luopin , Wen He , Liu Jie , Li Liqin , Wang Qiang , Wang Xiyao 
Published: November 2023

Abstract
After harvest, potato tubers undergo an important period of dormancy, which significantly impacts potato quality and seed vigor. StSN2 has been reported as a key gene for maintaining tuber dormancy; in this study, we explored the molecular mechanism by which StSN2 maintains dormancy. StBIN2 was first identified as a candidate protein that interacts with StSN2 by co-immunoprecipitation/mass spectrometry, and both qPCR and enzyme activity experiments showed that StSN2 can promote the StBIN2 expression and activity. In addition, the interaction between StSN2 and StBIN2 was verified by yeast two-hybrid, luciferase complementation experiments and co-immunoprecipitation. Bioinformatics analysis and site-directed mutagenesis confirmed the critical role of cysteine residues of StBIN2 in its binding to StSN2. Similar to that of StSN2, overexpression of StBIN2 extended the dormancy of potato tuber. Interaction between StSN2 and StBIN2 increased the activity of the StBIN2 enzyme, inhibited the expression of StBZR1, and suppressed BR signaling. On the contrary, this interaction promoted the expression of StSnRK2.2/2.3/2.4/2.6 and StABI5, key genes of ABA signaling, and the phosphorylation of StSnRK2.3, thereby promoting ABA signaling. Altogether, our results indicate that StSN2 interacts with StBIN2 through key cysteine residues and StBIN2 maintains tuber dormancy by affecting ABA and BR signaling. Findings of this research offer new insights into the molecular mechanism by which StSN2 maintains potato tuber dormancy through interaction with StSIN2 and provide guidance for potato improvement.
Re-thinking the allocation of roles under the GDPR in the context of cloud computing
Authors: Fischer Cyril 
Published: November 2023

Abstract
• Cloud computing is a well-established and flourishing phenomenon, whose key activity on personal data is the storage thereof. This study analyses the allocation of the controller–processor roles under the General Data Protection Regulation (GDPR) to the cloud computing actors in the context of the storage of personal data. It examines the current controller–processor model and suggests a joint controllership interpretation to the EU regulators, as a more appropriate allocation of roles in the context of cloud computing.
• We argue that the prevailing controller–processor interpretation stems from the current primacy of the purpose criterion, as well as the recognition of consent as a criterion to allocate controllership. This article suggests that cloud providers control some of the essential means of the storage of personal data, thereby shifting part of the control from cloud customers to cloud providers.
• If the joint controllership approach was to be followed by the EU regulators, this article argues that it would better reflect the economic and technical reality, and provide a more appropriate responsibility and liability framework for cloud providers and customers, which in turn would enhance the level of protection that data subjects should benefit from under the GDPR.
Diplomatic Gender Patterns and Symbolic Status Signaling: Introducing the GenDip Dataset on Gender and Diplomatic Representation
Authors: Niklasson Birgitta , Towns Ann E 
Published: November 2023

Abstract
This research note introduces a new dyadic dataset on gender and diplomatic representation and shows its potential to address questions about international status, gender patterns in international politics, and more. The GenDip dataset includes the names and gender classification of all bilateral ambassadors heading embassies 1968–2019 (74,549), structured as dyad/decade for 1968–1998 and dyad/lustrum for 1998–2019. Cross-fertilizing the quantitative study of status with qualitative studies on women's symbolic meaning for the status of states, we illustrate the utility of this data by showing that the gender of ambassadors is implicated in status hierarchies among states. For instance, states with a reputation as strongly patriarchal are more likely than others to post their female ambassadors to states with an international gender equality profile, for status and to signal policy alignment. We also show that shares of female ambassadors vary considerably among sending states, in unexpected ways, identifying the need for more research explaining why. This dataset enables new, crucial questions to be asked of international relations, mapping gender changes in diplomacy over time and place and explaining their causes and effects.
Normalization of drug and therapeutic concepts with Thera-Py
Authors: Cannon Matthew , Stevenson James , Kuzma Kori , Kiwala Susanna , Warner Jeremy L , Griffith Obi L , Griffith Malachi , Wagner Alex H 
Published: November 2023

Abstract

Objective
The diversity of nomenclature and naming strategies makes therapeutic terminology difficult to manage and harmonize. As the number and complexity of available therapeutic ontologies continues to increase, the need for harmonized cross-resource mappings is becoming increasingly apparent. This study creates harmonized concept mappings that enable the linking together of like-concepts despite source-dependent differences in data structure or semantic representation.

Materials and Methods
For this study, we created Thera-Py, a Python package and web API that constructs searchable concepts for drugs and therapeutic terminologies using 9 public resources and thesauri. By using a directed graph approach, Thera-Py captures commonly used aliases, trade names, annotations, and associations for any given therapeutic and combines them under a single concept record.

Results
We highlight the creation of 16 069 unique merged therapeutic concepts from 9 distinct sources using Thera-Py and observe an increase in overlap of therapeutic concepts in 2 or more knowledge bases after harmonization using Thera-Py (9.8%-41.8%).

Conclusion
We observe that Thera-Py tends to normalize therapeutic concepts to their underlying active ingredients (excluding nondrug therapeutics, eg, radiation therapy, biologics), and unifies all available descriptors regardless of ontological origin.
Racial disparities in prostate cancer mortality: a model-based decomposition of contributing factors
Authors: Gulati Roman , Nyame Yaw A , Lange Jane M , Shoag Jonathan E , Tsodikov Alex , Etzioni Ruth 
Published: November 2023

Abstract
To investigate the relative contributions of natural history and clinical interventions to racial disparities in prostate cancer mortality in the United States, we extended a model that was previously calibrated to Surveillance, Epidemiology, and End Results (SEER) incidence rates for the general population and for Black men. The extended model integrated SEER data on curative treatment frequencies and cancer-specific survival. Starting with the model for all men, we replaced up to 9 components with corresponding components for Black men, projecting age-standardized mortality rates for ages 40-84 years at each step. Based on projections in 2019, the increased frequency of developing disease, more aggressive tumor features, and worse cancer-specific survival in Black men diagnosed at local-regional and distant stages explained 38%, 34%, 22%, and 8% of the modeled disparity in mortality. Our results point to intensified screening and improved care in Black men as priority areas to achieve greater equity.