bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical outcomes following shock team implementation for cardiogenic shock: a systematic review
Authors: Abdelnabi Mohamed , Elsaeidy Ahmed Saad , Aboutaleb Aya Moustafa , Johanis Amit , Ghanem Ahmed K. , Rezq Hazem , Abdelazeem Basel 
Published: December 2024

Abstract
Background
Cardiogenic shock is a critical cardiac condition characterized by low cardiac output leading to end-organ hypoperfusion and associated with high in-hospital mortality rates. It can manifest following acute myocardial infarction or acute exacerbation of chronic heart failure. Despite advancements, mortality rates remain elevated, prompting interest in multidisciplinary approaches to improve outcomes. This manuscript presents a review focused on the concept of a cardiogenic shock team and its potential impact on patient management and outcomes.

Methods
A comprehensive search was performed on March 19, 2023, covering PubMed, Web of Science, Scopus, Embase, and Cochrane Library. We included primary studies (prospective and retrospective) only and evaluated their quality using the Newcastle–Ottawa Quality Scale. This review was registered in PROSPERO (CRD42023440354).

Results
Six relevant studies with 2066 cardiogenic shock patients were included, of which 1071 were managed by shock teams and 995 received standard care. Findings from the reviewed studies indicated the favorable outcomes associated with implementing cardiogenic shock teams. Patients managed by these teams exhibited higher 30-day and in-hospital survival rates compared to those without team intervention. The implementation of cardiogenic shock teams was linked to reduced in-hospital and intensive care unit mortality rates. Additionally, shock team involvement was associated with shorter door-to-balloon times.

Conclusion
The findings suggest that cardiogenic shock teams play a crucial role in improving patient outcomes through earlier detection and timely interventions. Despite challenges in team implementation, their potential to reduce mortality and improve efficiency in patient care warrants further research and greater integration of multidisciplinary strategies into clinical practice.
Anxiety, depression, and insomnia among medical and non-medical students in Jordan: a cross-sectional study
Authors: AlSamhori Jehad Feras , Kakish Diala Ra’Ed Kamal , AlSamhori Abdel Rahman Feras , AlSamhori Ahmad Feras , Hantash Noor Rajeh Abu , Swelem Afnan Firas Abu , Abu-Suaileek Mamoun Hamed Ali , Arabiat Hazar Mohammed , Altwaiqat Mohammad Anwer , Banimustafa Radwan , Qaswal Abdallah Barjas , Nashwan Abdulqadir J. 
Published: December 2024

Abstract
Background
Depression, the leading cause of disability worldwide, has worsened due to the COVID-19 pandemic, with key risk factors including age, gender, and socioeconomic status. Jordan is experiencing an increase in mental health issues, particularly among children, adolescents, and university students, yet negative attitudes and structural barriers limit access to mental healthcare This study provides a comprehensive analysis of depression, anxiety, and sleep quality among Jordanian undergraduate students.

Methods
This cross-sectional study was conducted between December 2023 and March 2024. The study used the Generalized Anxiety Disorder scale (GAD-7), the Patient Health Questionnaire (PHQ-9), and the Insomnia Severity Index (ISI) to evaluate these mental health factors. Data collection involved a self-administered survey, distributed online and in paper format. Multiple linear regression was utilized to pinpoint significant predictors.

Results
A total of 1181 participants completed the survey, with an average age of 20.43 years. Among the respondents, 74.2% were female, and 35.1% were medical students. Predictors of GAD-7 scores included year of study for medical students, with PHQ-9 scores and male gender serving as negative predictors. For non-medical students, both PHQ-9 and ISI scores positively predicted higher GAD-7 scores. ISI scores were positively influenced by age and PHQ-9 scores for medical students, whereas for non-medical students, age, PHQ-9, and GAD-7 scores were positive predictors.

Conclusion
The study demonstrates that non-medical students experience higher levels of depression, insomnia, and anxiety than their medical counterparts. These findings highlight the necessity for targeted mental health interventions and awareness programs for all undergraduate students.
Photonic nanojet-regulated soft microalga-robot with controllable deformation and navigation capability
Authors: Xiong Jianyun , He Ziyi , Zhu Guoshuai , Li Xing , Shi Yang , Pan Ting , Zhong Shuhan , Wang He , Su Zihao , Ye Liliang , Li Baojun , Xin Hongbao 
Published: December 2024

AbstractMicro/nanorobots have shown great potential to execute different tasks in microenvironments due to their small size, high controllability and environmental adaptability. However, it is still challenging to precisely control the deformation and navigation of soft micro/nanorobots to better adapt to unstructured and complex surroundings. Here, we report a photonic nanojet (PNJ)-regulated soft microalga robot (saBOT) based on Euglena gracilis with controlled deformation and precise navigation capability. The deformability of the saBOT was precisely controlled by the highly focused light energy from a microlens-based PNJ bound to a tapered optical fiber probe (TFP), which can precisely stimulate the channelrhodopsin-2 (ChR2) in the photoreceptor of the microalga. This saBOT can be further precisely navigated toward different positions in complex and unstructured microenvironments by combining the deformability with the phototaxis ability of the microalga via the flexible manipulation of TFP. Notably, due to the ability of controllable deformation and precision navigation, the saBOT can travel across cell clusters for precision drug delivery toward a target cell. This PNJ-regulated saBOT holds great promise in executing different biomedical tasks in complex and unstructured microenvironments that cannot be reached by conventional tools and rigid microrobots.
Stimulation of Piezo1 Mechanosensitive Channels Inhibits Adipogenesis in Thyroid Eye Disease
Authors: Galgoczi Erika , Orsos Istvan , Molnar Zsanett , Ujhelyi Bernadett , Steiber Zita , Szabo Laszlo , Dienes Beatrix , Csernoch Laszlo , Nagy Endre V , Katko Monika 
Published: December 2024

Abstract

Context
Increased orbital tissue volume due to matrix expansion, orbital fibroblast (OF) proliferation, and adipocyte differentiation are the hallmarks of thyroid eye disease (TED). Their combination with the presence of hyaluronan-bound excess water in the constrains of the bony orbit results in increased intraorbital pressure. High intraorbital pressure, along with changes in the mechanical properties of orbital tissues, may lead to the activation of mechanosensitive receptors. The expression and role of the Piezo1 mechanoreceptor has not been investigated in TED.

Objective
We aimed to verify the expression of Piezo1 in OFs, and to study the effect of in vitro Piezo1 activation by its synthetic agonist Yoda1 on adipocyte differentiation.

Methods
OF cultures established using orbital connective tissues from patients with TED and controls were studied in the presence or absence of adipogenic stimuli. Piezo1 expression was confirmed by Western Blot and immunofluorescent imaging, and its function was verified by intracellular Ca2+ measurement. Adipogenic differentiation was characterized using Oil Red O staining for lipid accumulation, real-time polymerase chain reaction for gene and Western blot for protein expressions indicative in adipogenesis.

Results
OFs express functional Piezo1 channels. Differentiation into adipocytes is inherent to TED OFs. Piezo1 activation by Yoda1 inhibits the expressions of early (CEBPβ, CEBPδ) and main (PPARγ, CEBPα) transcription factors, and the terminal marker FABP4 during adipogenesis, resulting in markedly lower intracytoplasmic lipid accumulation.

Conclusion
Piezo1 channels are expressed and functional in OFs. Modeling orbital pressure by in vitro Piezo1 activation reduces de novo adipogenesis of OFs derived from TED orbits.
The fission yeast SUMO-targeted ubiquitin ligase Slx8 functionally associates with clustered centromeres and the silent mating-type region at the nuclear periphery
Authors: Chakraborty Shrena , Strachan Joanna , Schirmeisen Kamila , Besse Laetitia , Mercier Eve , Fréon Karine , Zhang Haidao , Zhao Ning , Bayne Elizabeth H. , Lambert Sarah A. E. 
Published: December 2024

ABSTRACT
The SUMO-targeted ubiquitin ligase (STUbL) family is involved in multiple cellular processes via a wide range of mechanisms to maintain genome stability. One of the evolutionarily conserved functions of STUbL is to promote changes in the nuclear positioning of DNA lesions, targeting them to the nuclear periphery. In Schizossacharomyces pombe, the STUbL Slx8 is a regulator of SUMOylated proteins and promotes replication stress tolerance by counteracting the toxicity of SUMO conjugates. In order to study the dynamic dialectic between ubiquitinylation and SUMOylation in the nuclear space of the S. pombe genome, we analyzed Slx8 localization. Unexpectedly, we did not detect replication stress-induced Slx8 foci. However, we discovered that Slx8 forms a single nuclear focus, enriched at the nuclear periphery, which marks both clustered centromeres at the spindle pole body and the silent mating-type region. The formation of this single Slx8 focus requires the E3 SUMO ligase Pli1, poly-SUMOylation and the histone methyl transferase Clr4 that is responsible for the heterochromatin histone mark H3-K9 methylation. Finally, we established that Slx8 promotes centromere clustering and gene silencing at heterochromatin domains. Altogether, our data highlight evolutionarily conserved and functional relationships between STUbL and heterochromatin domains to promote gene silencing and nuclear organization.
Downstream Information Sharing in Agricultural Supply Chains with Investment Spillovers
Authors: Fu Zunwei , Sun Hongchun , Xu Chenglong , Yue Mingshi 
Published: December 2024

This paper investigates a product distributor’s incentive to share private consumer preference information with a farming cooperative who possesses the capability for quality improvement. Although conventional view holds that in the presence of the investment spillover effect, downstream information sharing surely occurs when the upstream investment cost is low enough, our results show that, due to the decreasing marginal effect of quality investment, the product distributor voluntarily commits to sharing information only when the quality investment cost is in a medium range. And this ex ante sharing behavior can be induced through a precontracted side payment when the quality cost slightly deviates from the range in which voluntary sharing occurs. Given the challenge of predicting consumer preference for perennial crops, we examine the product distributor’s incentives for ordering and ex post sharing under upfront quality improvement, finding that the distributor can partially disclose the acquired information even facing a potential mismatch between supply and demand. An equilibrium ordering scheme is proposed whereby the distributor prearranges transportation capacity. Interestingly, under delayed information acquisition, partially sharing information is more effective in motivating the farming cooperative to invest more at the outset than not sharing at all. Conflict of Interest Statement: The authors declared that they have no conflicts of interest to this work. Funding: This work was supported by Natural Science Foundation of Shandong Province [ZR2021MA079, ZR2021MA088]; National Natural Science Foundation of China [11271175].
Online Algorithms for Matching Platforms with Multichannel Traffic
Authors: Manshadi Vahideh , Rodilitz Scott , Saban Daniela , Suresh Akshaya 
Published: December 2024

Two-sided platforms rely on their recommendation algorithms to help visitors successfully find a match. However, on platforms such as VolunteerMatch, which has facilitated millions of connections between volunteers and nonprofits, a sizable fraction of website traffic arrives directly to a nonprofit’s volunteering page via an external link, thus bypassing the platform’s recommendation algorithm. We study how such platforms should account for this external traffic in the design of their recommendation algorithms, given the goal of maximizing successful matches. We model the platform’s problem as a special case of online matching, where (using VolunteerMatch terminology) volunteers arrive sequentially and probabilistically match with one opportunity, each of which has a finite need for volunteers. In our framework, external traffic is interested only in their targeted opportunity; by contrast, internal traffic may be interested in many opportunities, and the platform’s online algorithm selects which opportunity to recommend. In evaluating the performance of different algorithms, we refine the notion of competitive ratio by parameterizing it based on the amount of external traffic. After demonstrating the shortcomings of a commonly used algorithm that is optimal in the absence of external traffic, we propose a new algorithm, adaptive capacity (AC), which accounts for matches differently based on whether they originate from internal or external traffic. We provide a lower bound on AC’s competitive ratio that is increasing in the amount of external traffic and that is close to (and, in some regimes, exactly matches) the parameterized upper bound we establish on the competitive ratio of any online algorithm. We complement our theoretical results with a numerical study motivated by VolunteerMatch data where we demonstrate the strong performance of AC relative to current practice and further our understanding of the difference between AC and other commonly used algorithms. This paper was accepted by Omar Besbes, revenue management and market analytics. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.00910 .
Is Information Risk Priced? New Evidence from Outer Space
Authors: Hao Xianfeng , Wang Shujing , Wang Yudong , Wu Liangyu 
Published: December 2024

Satellite images of the parking lots of U.S. retail firms provide information about the firms’ future earnings, and the limited access to these images produces information asymmetry between sophisticated and unsophisticated investors. We construct a cloud-based information risk (CIR) measure to capture this satellite information risk and investigate its asset pricing performance. We find that CIR positively predicts future stock returns of retail firms in the cross-section and that the predictability cannot be explained by weather reasons. We provide evidence that CIR indeed captures the information asymmetry among investors. The profitability of short selling is more pronounced on clear days. The return predictability of CIR is more pronounced in preannouncement periods. During cloudy days, parking lot traffic data from satellite images are harder to obtain, and the retail store sales estimated using parking lot data are noisier. We further show that high CIR is associated with low liquidity and that the decrease in liquidity purchases is greater than the decrease in liquidity sales. Our empirical analyses suggest that information asymmetry is priced and that CIR affects equity premiums through the liquidity channel, which are consistent with the theoretical predictions from a noisy rational expectations equilibrium model under imperfect competition. This paper was accepted by Kay Giesecke, finance. Funding: S. Wang acknowledges financial support from the National Natural Science Foundation of China [Grants 72373110 and 71902140] and Fundamental Research Funds for the Central Universities in China. Y. Wang acknowledges financial support from the National Natural Science Foundation of China [Grants 72342003 and 72071114]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.00713 .
The Fragility of Optimized Bandit Algorithms
Authors: Fan Lin , Glynn Peter W. 
Published: December 2024

What Does the Distribution of Regret Look Like for Bandit Algorithms? In multiarmed bandit theory, the expected regret has long been the predominant performance measure studied in the literature. For the first time, in “The fragility of optimized bandit algorithms,” Fan and Glynn study the tail of the regret distribution. For a given bandit model, it is natural to optimize to achieve the minimum possible expected regret growth rate. However, the authors show that optimizing for expected regret alone can result in severe fragility. Optimized expected regret rates come with the side effect of extremely heavy regret tails (like those of a Cauchy distribution) and thus, significant chance of catastrophically large regret. Moreover, optimized algorithms essentially operate on a knife’s edge such that the slightest degree of model misspecification in algorithm design can result in a much larger expected regret rate. Among other insights, the authors characterize sharp trade-offs between the expected regret rate and the heaviness of the regret tail. They also show how to robustify an algorithm and lighten the regret tail through increased exploration.
GEOLOGI DAN KARAKTERISTIK MINERAL PIROPILIT DAERAH SUMBERMANJING WETAN, MALANG
Authors: Heru Sapto , Prasetia Gilang Eko 
Published: December 2024

Penelitian dilakukan di Daerah Ringinkembar dan Sekitarnya, Sumbermanjing Wetan, Malang. Berdasarkan Peta Geologi Regional Lembar Turen, batuan penyusun daerah penelitian masuk dalam Formasi Mandalika dengan umur Oligosen Akhir hingga Miosen Awal. Formasi Mandalika terusun oleh satuan batuan vulkanik antara lain andesit, dasit dan tuff, dan batuan tersebut telah banyak mengalami ubahan (alterasi). Salah satu hasil mineral ubahannya adalah mineral pirolopilit, yang dominan terdapat pada zona alterasi argilik lanjut. Mineral piropilit yang ada di daerah Sumbermanjing Wetan, Malang sudah banyak yang ditambang, salah satunya digunakan untuk bahan baku campuran keramik, atau bahan baku industri lainnya. Penelitian ini bertujuan untuk mengetahui kondisi geologi dan kararteristik mineral piropilit di daerah penelitian berdasarkan sifat fisik dan kandungan kimia mineral piropilit. Metode yang digunakan adalah pemetaan geologi permukaan dan analisis sampel batuan X-Ray Difracttion (XRD) di laboratorium. Berdasarkan pemetaan geologi permukaan, geomorfologi di daerah penelitian tersusun satuan perbukitan struktural bergelombang sedang hingga kuat struktural yang berhubungan dengan kekar dan patahan. Litologi penyusunnya dari tua ke muda satuan andesit, satuan tuff, satuan batupasir, dan satuan batugamping. Struktur geologi berupa kekar yang memiliki arah N 10o E. Zona alterasi daerah penelitian terdapat zona alterasi propilitik dan zona argilik lanjut. Berdasarkan analisis sampel batuan, mineral piropilit dilihat dari kandungan alumina dan kuarsa terdapat 4 tipe mineral piropilit di daerah penelitian. Tipe A piropilit alumina tinggi, Tipe B piropilit silika rendah, Tipe C piropilit silika tinggi dengan diaspore, dan Tipe D piropilit dengan alkali rendah
Automated craniofacial biometry with 3D T2w fetal MRI
Authors: Matthew Jacqueline , Uus Alena , Egloff Collado Alexia , Luis Aysha , Arulkumaran Sophie , Fukami-Gartner Abi , Kyriakopoulou Vanessa , Cromb Daniel , Wright Robert , Colford Kathleen , Deprez Maria , Hutter Jana , O’Muircheartaigh Jonathan , Malamateniou Christina , Razavi Reza , Story Lisa , Hajnal Joseph V. , Rutherford Mary A. 
Published: December 2024

Objectives
Evaluating craniofacial phenotype-genotype correlations prenatally is increasingly important; however, it is subjective and challenging with 3D ultrasound. We developed an automated label propagation pipeline using 3D motion- corrected, slice-to-volume reconstructed (SVR) fetal MRI for craniofacial measurements.

Methods
A literature review and expert consensus identified 31 craniofacial biometrics for fetal MRI. An MRI atlas with defined anatomical landmarks served as a template for subject registration, auto-labelling, and biometric calculation. We assessed 108 healthy controls and 24 fetuses with Down syndrome (T21) in the third trimester (29–36 weeks gestational age, GA) to identify meaningful biometrics in T21. Reliability and reproducibility were evaluated in 10 random datasets by four observers.

Results
Automated labels were produced for all 132 subjects with a 0.3% placement error rate. Seven measurements, including anterior base of skull length and maxillary length, showed significant differences with large effect sizes between T21 and control groups (ANOVA, p<0.001). Manual measurements took 25–35 minutes per case, while automated extraction took approximately 5 minutes. Bland-Altman plots showed agreement within manual observer ranges except for mandibular width, which had higher variability. Extended GA growth charts (19–39 weeks), based on 280 control fetuses, were produced for future research.

Conclusion
This is the first automated atlas-based protocol using 3D SVR MRI for fetal craniofacial biometrics, accurately revealing morphological craniofacial differences in a T21 cohort. Future work should focus on improving measurement reliability, larger clinical cohorts, and technical advancements, to enhance prenatal care and phenotypic characterisation.
Temporal trends in mental health terminology in Alzheimer’s disease clinical trials
Authors: Golrokhian-Sani Amir-Ali , Morcos Maya , Philippi Alecco , Al-Rawi Reem , Morcos Marc , Fu Rui 
Published: December 2024

Background
Despite several studies having correlated Alzheimer’s disease with mental health conditions, the extent to which they have been incorporated into Alzheimer’s disease clinical trials remains unclear.

Objective
This study aimed to assess the temporal trends in mental health-related terminology in Alzheimer’s disease clinical trials as a proxy measure of research interest. Additionally, it sought to determine the effect of the COVID-19 pandemic on the frequency of these terms through pre-pandemic and post-pandemic trend assessment.

Methods
In this retrospective descriptive analysis, we included 2243 trials with a start date between 1988 and 2022 by searching for the keyword “Alzheimer Disease” in the U.S. National Library of Medicine ClinicaTrials.gov database. A Python program was created to extract and count the frequency of four mental health terms (loneliness, depression, anxiety, and distress) by year and trial status (e.g., completed, active, recruiting). Binary logistic regression analyses were conducted to examine the yearly patterns in the appearance of the four mental health terms. A multivariable logistic regression analysis was performed to identify trial characteristics associated with each mental health term.

Results
Our results depicted a statistically significant increasing trend in three (i.e., loneliness, anxiety, distress) of the four mental health conditions by year. A comparison between pre-pandemic and post-pandemic trials showed an increase in the mention of the same three words over time.

Interpretation
These results may suggest a growing awareness of mental health conditions and a greater interest in considering these conditions in Alzheimer’s disease trials, particularly after the onset of COVID-19. Future researchers should conduct more in-depth analyses to examine how mental health variables are operationalized in these trials, with consideration for their subsequent success.