bluuebunny/crossref_metadata_2025_split huggingface dataset:
A 3D In Vitro Triculture Hybrid Model Recapitulating Tumor Stromal Interaction of Triple‐Negative Breast Cancer as a High Throughput Anticancer Drug Screening Platform
Authors: Jaiswal Chitra , Mandal Biman B. 
Published: January 2024

AbstractBreast cancer (BC) progression is substantially driven by cellular cross‐talk between tumor and stromal cells within the tumor microenvironment (TME). However, lack of precise recapitulation of the heterocellular complexity, interactions in oversimplified 2D models, and physiological differences in animal models lead to discrepancy in anticancer drug response. Three‐dimensional (3D) in vitro bioengineered models that physiologically resemble in vivo TME are apt to overcome the discrepancy in the preclinical drug testing outcome. Here, a compartmentalized 3D in vitro triculture triple‐negative breast cancer (TC‐TNBC) model is bioengineered using silk‐fibroin (SF) scaffold and GelMA hydrogel for recapitulating stromal and tumor extracellular niche, respectively. The model features the cellular heterogeneity of stromal niche by incorporating most representative cell types in breast tissue, i.e., adipocytes and endothelial cells, and MDA‐MB‐231 cells in the tumor niche. The TC‐TNBC model exhibits enhanced tumorigenic potential in the presence of stromal cells. Screening of model anticancer drugs (doxorubicin (Dox) and cisplatin (Cis)) exhibits an increase in IC50concentration in TC‐TNBC as compared to monoculture, suggesting crucial role of stromal cells in drug response. Drug sensitivity and cytotoxicity behavior mimick the in vivo like drug response. This model provides a facile and adaptable platform to represent tumor‐stromal heterogeneity and high‐throughput anticancer drug screening.
CMD + V for chemistry: Image to chemical structure conversion directly done in the clipboard
Authors: Schilter Oliver Tobias , Laino Teodoro , Schwaller Philippe 
Published: January 2024

AbstractWe present Clipboard‐to‐SMILES Converter (C2SC), a macOS application that directly converts molecular structures from the clipboard. The app focuses on seamlessly converting screenshots of molecules into a desired molecular representation. It supports a wide range of molecular representations, such as SMILES, SELFIES, InChI's, IUPAC names, RDKit Mol's, and CAS numbers, allowing effortless conversion between these formats within the clipboard. C2SC automatically saves converted molecules to a local history file and displays the last 10 entries for quick access. Additionally, it incorporates several SMILES operations, including canonicalization, augmentation, as well price‐searching molecules on chemical vendors for the cost‐effective purchasing option. Beyond the one‐click conversion from clipboard to molecular structures, the app offers continuous monitoring of the clipboard which automatically converts any supported representations or images detected into SMILES. The convenient interface, directly in the status bar, as well as availability as macOS application, makes C2SC useful for a broad community not requiring any programming expertise. Most conversions are performed locally, notably the image‐to‐SMILES conversion, with internet access only necessary for specific tasks like price lookups. In summary, C2SC provides a user‐friendly and efficient solution for converting molecular structures directly from the clipboard, offering seamless conversions between comprehensive chemical representations and can be directly downloaded from https://github.com/O-Schilter/Clipboard-to-SMILES-Converter.
Resting heart rate but not heart rate variability is associated with the normal‐weight obesity phenotype
Authors: Plaza‐Florido Abel , Ruiz Jonatan R. , Alcantara Juan M. A. 
Published: January 2024

AbstractObjectiveTo determine differences in resting heart rate variability (HRV) and heart rate (HR) between young adults with normal‐weight obesity (NWO) and normal‐weight lean (NWL).MethodsA total of 65 normal‐weight individuals (18–25 years old, 50 women, body mass index 18.5 to 24.9 kg/m2) were included in this cross‐sectional study. Body fat percentage was determined using a whole‐body dual energy x‐ray absorptiometry scanner. Resting HRV and HR were assessed with the Polar RS800CX. Forty‐one participants were classified as NWO and 24 NWL using cutoff points for body fat percentage (33.3% for women and 23.1% for men).ResultsThere were no differences in HRV between NWO and NWL groups (all p > .05). HR was higher in NWO (mean 70 beats per minute [bpm], standard deviation [SD] 8) than in NWL adults (mean 65 bpm, SD 10), the adjusted mean difference 5 bpm (95% CI, 0 to 10 bpm).ConclusionHR is a noninvasive biomarker and relatively cheap, fast, and easy to measure that could detect “apparently healthy” young individuals with an adverse cardiovascular disease risk profile despite presenting a normal body weight.
Long‐term psychiatric disorders in families of severe COVID‐19 patients
Authors: Shirasaki Kasumi , Hifumi Toru , Sekiguchi Moe , Isokawa Shutaro , Nakao Yusuke , Tanaka Shinobu , Hashiuchi Shinsuke , Imai Ryosuke , Otani Norio 
Published: January 2024

AbstractAimThe present study aimed to describe in detail the changes to and assess the risk factors for poor long‐term outcomes of psychiatric disorders in families of COVID‐19 patients.MethodsA single‐center, retrospective study using questionnaires. Family members of patients admitted to the intensive care unit (ICU) with severe COVID‐19 participated. Psychiatric disorders refer to the psychological distress such as anxiety, depression, and posttraumatic stress disorder (PTSD) experienced by the patient's family.ResultsForty‐six family members completed the survey and were analyzed. Anxiety, depression, and PTSD occurred in 24%, 33%, and 2% of family members, respectively, and psychiatric disorders occurred in 39%. On multivariable analysis, living in the same house with the patient was independently associated with a lower risk of psychiatric disorders in families of COVID‐19 patients (OR, 0.180; 95% CI, 0.036–0.908; p = 0.038). Furthermore, four family members overcame psychiatric disorders, and six family members newly developed psychiatric disorders during the one‐year follow‐up period.ConclusionApproximately 40% of family members had long‐term psychiatric disorders, and some of them overcame the psychiatric disorders, and some newly developed psychiatric disorders over the one‐year follow‐up. Living in the same house with the patient was possibly significantly associated with the reduction of long‐term symptoms of psychiatric disorders, but this result must be interpreted with care. Further large studies are needed to examine the factors associated with the long‐term mental status of family members.
Engineering Mn‐Doped CdS Thin Films Through Chemical Bath Deposition for High‐Performance Photoelectrochemical Water Splitting
Authors: Tahir Nimrah , Altaf Amna , Baig Nadeem , Nafady Ayman , Ul‐Hamid Anwar , Shah Syed Shoaib Ahmad , Tsiakaras Panagiotis , Sohail Manzar 
Published: January 2024

AbstractDoping conventional materials with a second element is an exciting strategy for enhancing catalytic performance via electronic structure modifications. Herein, Mn‐doped CdS thin films were successfully synthesized with the aid of the chemical bath deposition (CBD) by varying the pH value (8, 10, and 12) and the surfactant amount (20, 40, 60 mg). Different morphologies like nano‐cubes, nanoflakes, nano‐worms, and nanosheets were obtained under different deposition conditions. The optimized Mn‐doped CdS synthesized at pH=8 exhibited better photoelectrochemical (PEC) performance for oxygen evolution reaction (OER) than pure CdS films, with a maximum photocurrent density of 300 μA/cm2 at an external potential of 0.5 V, under sunlight illumination. The observed performance is attributed to the successful Mn doping, porosity, high surface area, and nanosphere morphology.
The magnetar crustal magneto‐thermal evolution
Authors: Wang Hui , Li Zhi Bing , Yang Xiao Feng , Song Dong Ling 
Published: January 2024

AbstractMagnetars are a type of pulsars powered by magnetic field energy. Part of the X‐ray luminosities of magnetars in quiescence have a thermal origin and can be fitted by a blackbody spectrum with the surface temperature, much higher than the typical values for rotation‐powered pulsars. The persistent thermal emissions and bursts of magnetars indicate the presence of some internal heat sources in their outer crusts. In this work, we have formulated the energy balance equation and applied it to investigate the thermal evolution in the magnetar crust, taking into account the heating mechanisms of Ohmic decay and electron capture processes. This model can explain the changes in the X‐ray luminosity of the magnetars.
Carbon–based Materials for Li‐ion Battery
Authors: Babu Binson 
Published: January 2024

AbstractCarbon–based materials have played a pivotal role in enhancing the electrochemical performance of Li‐ion batteries (LIBs). This review summarizes the significant developments in the application of carbon–based materials for enhancing LIBs. It highlights the latest innovations in different types of carbon materials such as graphite, soft carbon, hard carbon, and various carbon nanostructures, including design and synthesis. Additionally, the feasibility of developing flexible self‐supported electrodes for wearable devices is underlined. More emphasis is given to elucidating the Li‐ion storage mechanisms inherent in various carbon materials, illustrating the variations in Li‐storage that arise as the structure transitions from order to disorder and from bulk to the nano realm. Furthermore, the use of carbon composites, which incorporate different alloy/conversion/intercalation type materials with carbon matrices, is discussed in view of their improved electrochemical performances in terms of energy density, power density, and cycling stability. The review underscores the growing importance of carbon materials in addressing the ever‐increasing demand for high‐performance energy storage solutions and also addresses the remaining challenges and future perspectives, aiming to provide future research directions.
Artificial intelligence and corporate carbon neutrality: A qualitative exploration
Authors: Luqman Adeel , Zhang Qingyu , Talwar Shalini , Bhatia Meena , Dhir Amandeep 
Published: January 2024

AbstractMany firms have established formal carbon neutrality (CN) targets in response to the increasing climate risk and related regulatory requirements. Subsequently, they have implemented various measures and adopted multiple approaches to attain these goals. Academic research has given due attention to firms' efforts in this direction. However, past studies have primarily focused on non‐digital and process‐oriented approaches to achieving CN, with the potential of digital technologies such as artificial intelligence (AI) remaining less explored. Our study aims to address this gap by qualitatively examining the use of AI for pursuing CN, drawing insights from firms with prior experience in the area. We analyzed the collected qualitative data to identify four key dimensions that capture different nuances of applying AI for achieving CN: (a) implementing AI for direct and indirect control of emissions, (b) accepting the strategic trade‐offs related to funding, data and systems concerns, and social priorities, (c) overcoming organizational and human‐related impediments, and (d) acknowledging the significant impact of AI in terms of gains in business model efficiency and measurable CN target attainment, which ultimately contribute to CN. Based on our findings, we propose a convergence–divergence model encompassing the positive aspects, inhibiting factors, synergies, and offsets necessary for firms to leverage AI to achieve net‐zero emissions effectively. Overall, our study contributes to the discourse on the utilization of AI for CN in a comprehensive manner.
Reward or punishment? The impact of heterogeneous environmental regulatory intervention on the firm market value
Authors: Sun Lihua , Bai Chunguang , Sarkis Joseph 
Published: January 2024

AbstractEnvironmental regulations are important organizational strategic drivers. Environmental regulatory mechanisms include “carrots” or “sticks”—they can be incentive or coercion‐based. This study empirically investigates stock market reactions to various environmental regulatory mechanisms. Using a sample of 334 environmental regulatory events reported by 212 listed Chinese firms between 2010 and 2020, we find that monetary reward has a greater positive market reaction towards governmental reward than non‐monetary reward. We also find that governmental operational disruption penalties have a greater negative market reaction than operational non‐disruption penalties. Governmental levels of the environmental regulation implementation subject do not play a moderating role in the relationship between governmental regulations and firm market value. These findings provide various policy and organizational insights as businesses seek to meet legitimacy gains in response environmental regulatory mechanisms.
Traders as ecosystem orchestrators for sustainable foods supply chain transformation
Authors: Gupta Ranjit , Mejia Cristian , Sadreghazi Shuan , Sano Yuki , Muchangos Leticia Sarmento Dos , Sekiguchi Tomonori , Nakamura Hiromi , Kajikawa Yuya 
Published: January 2024

AbstractTransforming global food supply chains for sustainability in a pervasive manner requires leading it for specific contexts. As central intermediaries between producers and consumers possessing both tacit and explicit knowledge of supply–demand and local business cultures, traders are uniquely positioned for ecosystem orchestration (EO). The limited literature on the role of agricultural commodities traders in promoting sustainability and calls for it has motivated this study. To understand the capabilities required for ecosystem orchestrators (EOs), we surveyed the available literature using citation network analysis, revealing knowledge elements within the clusters of leading value and stakeholder orchestration, cultivating dynamic and interorganizational capabilities, interplaying innovation and business ecosystems, and utilizing software ecosystems. These clusters contained interlinked EO functions of offering complementary assets and digital platforms, which we highlighted as actual business practices by certain major agricultural trading firms. We conclude that traders as EOs for sustainability is plausible and provide actionable guidance.
Simplified control of TAB converter for scalable multibattery charging system
Authors: Panchbhai Anand , Kumar Amritesh 
Published: January 2024

SummaryThe integration of distributed energy resources (DERs) into DC microgrids has become commonplace in many applications, including electric vehicle (EV) systems that use batteries, fuel cells, and supercapacitors as energy storage systems. To make a sustainable charging system for electric vehicles, DERs can be used in conjunction with the grid. In many cases, charging systems based on isolated DC‐DC converters, such as the dual active bridge (DAB) converter, with various controls, are typically used. However, integrating multiple DERs at the common input DC link can result in a loss of isolation in the DAB converter and also leads to problems with circulating current. To maintain isolation, multiple DAB converters can be used, but this increases the system's size. Alternatively, the multiport isolated DC‐DC converter can address such issues but introduces complexities such as cross‐coupling between power flow. This paper proposes a hardware decoupling control methodology for a triple active bridge (TAB) based isolated DC‐DC converter, with power routing features for simultaneously charging two EV's battery stack. Through hardware decoupling control, appropriate passive components are designed and selected to connect with the individual H‐bridges of the TAB for power decoupling. The paper discusses the cross‐coupling issue in the TAB and describes a methodology derived from mathematical expressions for achieving power decoupling. For validation of the control, a 5 kW system is modeled in MATLAB Simulink, and the results demonstrate how the proposed approach overcomes cross‐coupling issues. Further, a 500 W hardware prototype has been developed to validate the proposed approach.
Divergent Synthesis of Isoxazolo[5,4‐b]pyridines
Authors: Li Min , Li Wenzhe , Huang Min , Zhang Xiaomei 
Published: January 2024

AbstractIsoxazolopyridines are highly significant for the development of pharmaceuticals and new materials. In continuation of our ongoing research on transformations of 5‐aminoisoxazoles, we report herein a divergent synthesis of two kinds of novel isoxazolo[5,4‐b] pyridines through condensation of 5‐aminoisoxazoles with β,γ‐alkynyl‐α‐imino esters. By using two different silver salts and a phosphoric acid as catalysts, isoxazolo[5,4‐b] pyridine‐α‐carboxylates and isoxazolo[5,4‐b] pyridine‐γ‐carboxylates were constructed as major isomers in moderate to good yields, respectively. The structures of the two kinds of the isoxazolo[5,4‐b] pyridines were confirmed by X‐ray crystal structural analysis. Furthermore, control experiments were conducted to elucidate the reaction mechanism.
Electrochemical detection of dopamine by pineapple leaf‐derived porous carbon modified electrode
Authors: Liu Yang , Liu Tao , Ai Yijing , Wang Baoli , Zhang Zejun , Zhang Dan , Sun Wei 
Published: January 2024

AbstractThis research established an electrochemical sensing platform for sensitive dopamine (DA) detection using a modified glassy carbon electrode (GCE) made from waste pineapple leaf derived porous carbon (PLPC), which was applied to DA analysis in human blood samples with the characteristics such as simple procedure, excellent anti‐interference ability and low detection limit. Transmission electron microscopy revealed a layered and porous structure in the morphology of PLPC. PLPC's specific surface area and average pore size were determined to be 350.48 m2/g and 3.72 nm, respectively. The crystal phase and valence state were examined using X‐ray photoelectron spectroscopy and X‐ray diffraction. Using the best parameters, cyclic voltammetry and differential pulse voltammetry were applied to study the electrochemical behaviors of DA on PLPC/GCE. On PLPC/GCE a wide linear range of 0.05–500.0 μmol/L and a low detection limit of 0.0075 μmol/L for DA detection could be realized. The recoveries of DA were 97.67–102.07 % for detection of human blood sample with excellent stability, reproducibility and repeatability. Therefore the waste pineapple leaf based biomass porous carbon could be used as promising potential candidate for sensing application.
Determination of Pb2+ in water using poly(pyrrole thiourea) electrode coupled with an electrochemical flow analysis device
Authors: Lai Zhiwei , Zhang Guiyun , Chen Xi 
Published: January 2024

AbstractLead (Pb2+), due to its non‐biodegradable property and biological accumulation, would have adverse effects on human body. In this study, a poly(pyrrole thiourea) modified electrode was developed using the electropolymerization of pyrrole and thiourea. Compared with drop‐casting method, the immobilization of the modified material with fixator and the modification efficiency of an electrode was improved. The poly(pyrrole thiourea) electrode was applied for the in‐situ determination of Pb2+ in water coupled with an electrochemical flow analysis device. Several experimental parameters were optimized and the interference of the common co‐existing ions were evaluated. The precision and the repeatability of the electrode‐modified method were also examined. The relative standard deviation of response currents to 20 μg L−1 Pb2+ was found to be 4.6 % (n=90) and the recoveries varied from 91.6 % to 110.2 % in the determination of tap water and lake water samples obtained from laboratories and the university campuses. The limit of detection (3σ/Slope) of 0.03 μg L−1 for Pb2+ within the range of 0.1–100 μg L−1. Finally, the continuous monitoring of Pb2+ in water was successfully done by this developed method.
Succinate dehydrogenase mutations in head and neck paragangliomas: A systematic review and meta‐analysis of individual patients' data
Authors: Koh Elizabeth S. , Dabsha Anas , Rahouma Mohamed , Zappi Kyle , Srinivasan Yashes , Hickner Andy , Kutler David I. 
Published: January 2024

AbstractBackgroundHead and neck paragangliomas (HNPs) have been associated with gene mutations in the succinate dehydrogenase (SDH) complex, but the clinical significance remains unclear. We sought to explore the demographics, clinical characteristics, treatment methods, and outcomes of SDH‐mutated HNPs.MethodsDatabases were systematically searched. Pooled event ratio and relative 95% confidence intervals were calculated for dichotomous outcomes. Meta‐regression was performed. Cochran's Q test and I2 test assessed heterogeneity. Funnel plot and Egger's regression test assessed publication bias.ResultsForty‐two studies with 8849 patients were included. Meta‐regression revealed a significant correlation between multifocality and SDHD mutations (0.03 ± 0.006, p < 0.0001) and between distant metastases and SDHB mutations (0.06 ± 0.023, p = 0.008). There was no correlation between sex, age, tumor size, or familial occurrences and SDH‐related mutations.ConclusionMultifocality of HNPs correlates with the SDHD mutational subtype, and metastases correlate with the SDHB subtype. Knowledge of HNP phenotypes associated with SDH‐related mutations has the potential to influence the management approach to such HNPs.
“Nutrient–fungi–host” tripartite interaction in cancer progression
Authors: Wu Di , Guan Yun‐Xuan , Li Chen‐Hao , Zheng Quan , Yin Zuo‐Jing , Wang Hui , Liu Ning‐Ning 
Published: January 2024

AbstractThe human microbiome exhibits a profound connection with the cancer development, progression, and therapeutic response, with particular emphasis on its components of the mycobiome, which are still in the early stages of research. In this review, we comprehensively summarize cancer‐related symbiotic and pathogenic fungal genera. The intricate mechanisms through which fungi impact cancer as an integral member of both gut and tissue‐resident microbiomes are further discussed. In addition, we shed light on the pivotal physiological roles of various nutrients, including cholesterol, carbohydrates, proteins and minerals, in facilitating the growth, reproduction, and invasive pathogenesis of the fungi. While our exploration of the interplay between nutrients and cancer, mediated by the mycobiome, is ongoing, the current findings have yet to yield conclusive results. Thus, delving into the relationship between nutrients and fungal pathogenesis in cancer development and progression would provide valuable insights into anticancer therapy and foster precision nutrition and individualized treatments that target fungi from bench to bedside.