bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cannabis use, decision making, and perceptions of risk among breastfeeding individuals: the Lactation and Cannabis (LAC) Study
Authors: Smith Caroline B. , Schmidt Jenna , Holdsworth Elizabeth A. , Caffé Beatrice , Brooks Olivia , Williams Janet E. , Gang David R. , McGuire Mark A. , McGuire Michelle K. , Barbosa-Leiker Celestina , Meehan Courtney L. 
Published: February 2024

AbstractObjectiveOur primary objective was to understand breastfeeding individuals’ decisions to use cannabis. Specifically, we investigated reasons for cannabis use, experiences with healthcare providers regarding use, and potential concerns about cannabis use.MethodsWe collected survey data from twenty breastfeeding participants from Washington and Oregon who used cannabis at least once weekly. We documented individuals’ cannabis use and analyzed factors associated with their decisions to use cannabis during lactation. Qualitative description was used to assess responses to an open-ended question about potential concerns.ResultsFifty-five percent of participants (n = 11) reported using cannabis to treat or manage health conditions, mostly related to mental health. Eighty percent of participants (n = 16) reported very few or no concerns about using cannabis while breastfeeding, although participants who used cannabis for medical purposes had significantly more concerns. Most participants (n = 18, 90%) reported receiving either no or unhelpful advice from healthcare providers. Four themes arose through qualitative analysis, indicating that breastfeeding individuals are: 1) identifying research gaps and collecting evidence; 2) monitoring their child’s health and development; 3) monitoring and titrating their cannabis use; and 4) comparing risks between cannabis and other controlled substances.ConclusionsBreastfeeding individuals reported cannabis for medical and non-medical reasons and few had concerns about cannabis use during breastfeeding. Breastfeeding individuals reported using a variety of strategies and resources in their assessment of risk or lack thereof when deciding to use cannabis. Most participants reported receiving no helpful guidance from healthcare providers.
Qualitative assessment of the flowering buds of Mesua ferrea Linn with special emphasize on HPTLC and universal DNA bar-coding technique and evaluation of its antimicrobial potential
Authors: Sutradhar Jugal , Sarkar Bapi Ray 
Published: February 2024

AbstractBackgroundThe study has been scientifically exploring the powder sample and extracts of flowering buds ofMesua ferreaLinn (FBMF) based on pharmacognostic and phytochemical parameters. The medicinal plantMesua ferreaLinn was identified by Botanical verification and the universal DNA bar-coding technique. The FBMF powder’s quality was performed by the micromeritics properties like bulk density, tapped density, angle of repose, Hausner ratio, Carr’s index, and optical microscopy method, and physicochemical evaluations were performed by the swelling index, foaming index, loss on drying, extractive values, and ash values. The extract’s preliminary phytochemical screening was accomplished by the alkaloids, flavonoids, tannins, steroids, carbohydrates, and glycoside tests. To ensure the presence of a bioactive compound of each FBMF extract by qualitative HPTLC study against the reference β-sitosterol Rf value of 0.83 was revealed at 254 nm with a developed solvent system toluene, ethyl acetate, and acetic acid (6:2:0.1) v/v. Many pharmacological benefits, including those related to wound healing, nonalcoholic fatty liver disease, analgesic, sedative effects, immunomodulatory, anticancer, antimicrobial, anti-inflammatory, anxiolytic, and atopic dermatitis, have been demonstrated by this phytosterol. An antimicrobial study was carried out by a well diffusion method and, lastly, measured minimum inhibitory concentration and compared to the marketed active pharmaceutical component. Numerous skin infections of more invasive, serious illnesses are caused by potential antimicrobial activity.ResultsThe universal DNA bar-coding of plantMesua ferreaLinn has shown a high percentage of identity. The micrometrics properties and physicochemical evaluation of the powder sample of FBMF were in an acceptable range. The preliminary phytochemical screening shows that all extracts contain steroids and carbohydrates. Moreover, flavonoids were found in ethyl acetate and ethanol, and a qualitative HPTLC study confirmed that every extract contains β-sitosterol. N-hexane extract of FBMF shows the potential antimicrobial activity withStaphylococcus aureus,and the MIC value was observed at 0.062 mg/ml.ConclusionOur research demonstrated that the plantMesua ferreaLinn has been successfully authenticated by a DNA bar-coding technique, and all extracts of FBMF contain β-sitosterol. The n-hexane solvent extracts have shown the potential highest antimicrobial effects compared to other extracts. These results support using n-hexane extracts as a traditional medicine for treating several diseases.Graphical Abstract
Synergistic potential of α-Phellandrene combined with conventional antifungal agents and its mechanism against antibiotic resistant
Candida albicans
Authors: Bhattacharya Riya , Sharma Prashant , Bose Debajyoti , Singh Manish 
Published: February 2024

Abstract

Candida albicans
is resistant to various antifungal drugs, this presents a significant problem on a global scale. This study investigates a novel approach on the potential fungicidal effects of α-Phellandrene combinations with fluconazole and amphotericin B against antibiotic resistant
C. albicans
. The agar well diffusion experiment was used to measure the anti-candida activity of α-Phellandrene which exhibited a zone of inhibition of 24 ± 0.5 mm and 22 ± 0.5 mm against the
C. albicans
cells (MTCC277 and ATCC90028), respectively. Additionally, the fungicidal minimum inhibitory concentration (MIC) ranged 0.0312–0.0156 mg/ml (w/v) against
C. albicans
strains. It was determined to have powerful and efficient antifungal action against Candida cells. Further, the synergistic potential was evaluated by employing a time kill assay and a checkerboard technique, respectively, which revealed after 16 h, the colony count of
C. albicans
cells ATCC90028 (2.56 ± 0.33) and MTCC277 (2.53 ± 0.33) dropped by a log10 when treated with a combination of α-Phellandrene and Fluconazole and α-Phellandrene and amphotericin B exhibited synergy against both
C. albicans
strains ATCC90028 and MTCC277 (2.42 ± 0.28 and 2.00 ± 0.21) log
10
reduction in colony count, respectively, Additionally, 16–624-fold increase in the antifungal efficacy of clinical medicines, with total cell death occurring after 16 h. α-Phellandrene and antifungal drugs were tested in combination with the osmoprotectant test, ergosterol test and FESEM observations to determine their modes of action. In the era of multidrug-resistant diseases antibiotic resistance can be curtailed in its tracks with the help of combination treatments that allow for lower drug doses.
Emotions and behaviours of child and adolescent psychiatric patients during the COVID-19 pandemic
Authors: Laurent-Levinson Claudine , Pellen Anne-Sophie , Pellerin Hugues , Hanin Cyril , Bouzy Juliette , Devernay Marie , Milhiet Vanessa , Benarous Xavier , Consoli Angèle , Shi Jianxin , Levinson Douglas F. , Cohen David 
Published: February 2024

Background
Previous pandemics have had negative effects on mental health, but there are few data on children and adolescents who were receiving ongoing psychiatric treatment.

Aims
To study changes in emotions and clinical state, and their predictors, during the COVID-19 pandemic in France.

Method
We administered (by interview) the baseline Youth Self-Report version of the CoRonavIruS Health Impact Survey v0.3 (CRISIS, French translation) to 123 adolescent patients and the Parent/Caregiver version to evaluate 99 child patients before and during the first ‘lockdown’. For 139 of these patients who received ongoing treatment in our centre, treating physicians retrospectively completed longitudinal global ratings for five time periods, masked to CRISIS ratings.

Results
The main outcome measure was the sum of eight mood state items, which formed a single factor in each age group. Overall, this score improved for each age group during the first lockdown. Clinician ratings modestly supported this result in patients without intellectual disability or autism spectrum disorder. Improvement of mood states was significantly associated with perceived improvement in family relationships in both age groups.

Conclusions
Consistent with previous studies of clinical cohorts, our patients had diverse responses during the pandemic. Several factors may have contributed to the finding of improvement in some individuals during the first lockdown, including the degree of family support or conflict, stress reduction owing to isolation, limitations of the outcome measures and/or possible selection bias. Ongoing treatment may have had a protective effect. Clinically, during crises additional support may be needed by families who experience increased conflict or who care for children with intellectual disability.
Prognostic Value of the Modeled Prostate-Specific Antigen KELIM Confirmation in Metastatic Castration-Resistant Prostate Cancer Treated With Taxanes in FIRSTANA
Authors: Carrot Aurore , Oudard Stéphane , Colomban Olivier , Fizazi Karim , Maillet Denis , Sartor Oliver , Freyer Gilles , You Benoit 
Published: February 2024

PURPOSE In a previous exploratory study, modeled early longitudinal prostate-specific antigen (PSA) kinetics observed within the 100-first treatment days with androgen deprivation therapy with or without docetaxel was associated with progression-free survival (PFS) and overall survival (OS) in patients with prostate cancer with rising PSA levels after primary local therapy. This prognostic value had to be confirmed in different settings. The objectives were to assess PSA kinetics modeling in patients with metastatic castration-resistant prostate cancer (mCRPC) treated with chemotherapy in FIRSTANA trial and to investigate modeled PSA kinetic parameters prognostic/predictive value. MATERIALS AND METHODS FIRSTANA phase III trial (ClinicalTrials.gov identifier: NCT01308567 ) assessed whether cabazitaxel is superior to docetaxel in terms of PFS/OS in patients with chemotherapy-naïve mCRPC. PSA longitudinal kinetics was assessed using the previous kinetic-pharmacodynamics model. Patient modeled ELIMination rate constant K (PSA.KELIM) was used to categorize favorable/unfavorable PSA declines (standardized PSA.KELIM < or ≥ 1.0 days–1) and further correlated with PFS/OS. RESULTS In total, 1,050 of 1,168 enrolled patients were assessable for PSA.KELIM estimation. The median PSA.KELIM was 0.02 days–1. In univariate analyses, PSA.KELIM exhibited a significant prognostic value regarding survival: unfavorable versus favorable PSA.KELIM; median PFS, 3.6 months (95% CI, 3.0 to 4.2) versus 4.7 months (95% CI, 3.9 to 5.2), P = .002; median OS, 17.4 months (95% CI, 14.8 to 19.3) versus 28.4 months (95% CI, 26.7 to 31.6), P < .001. In multivariate analyses, PSA.KELIM was significant for PFS (hazard ratio [HR], 0.79 [95% CI, 0.67 to 0.93], P = .005) and OS (HR, 0.51 [95% CI, 0.44 to 0.60], P < .001), together with baseline radiological tumor progression and PSA doubling time. PSA.KELIM predictive value was not significant across treatment arms. CONCLUSION This external validation study confirmed previous results about modeled PSA longitudinal kinetics prognostic value regarding PFS/OS in patients with mCRPC treated with taxanes. PSA.KELIM could be used to identify a subpopulation with poor prognosis, who may benefit from treatment intensification.
Potential Predictors for Deterioration of Renal Function After Transfusion
Authors: Tschoellitsch Thomas , Moser Philipp , Maletzky Alexander , Seidl Philipp , Böck Carl , Roland Theresa , Ludwig Helga , Süssner Susanne , Hochreiter Sepp , Meier Jens 
Published: February 2024

BACKGROUND:
Transfusion of packed red blood cells (pRBCs) is still associated with risks. This study aims to determine whether renal function deterioration in the context of individual transfusions in individual patients can be predicted using machine learning. Recipient and donor characteristics linked to increased risk are identified.

METHODS:
This study was registered at ClinicalTrials.gov (NCT05466370) and was conducted after local ethics committee approval. We evaluated 3366 transfusion episodes from a university hospital between October 31, 2016, and August 31, 2020. Random forest models were tuned and trained via Python auto-sklearn package to predict acute kidney injury (AKI). The models included recipients’ and donors’ demographic parameters and laboratory values, donor questionnaire results, and the age of the pRBCs. Bootstrapping on the test dataset was used to calculate the means and standard deviations of various performance metrics.

RESULTS:
AKI as defined by a modified Kidney Disease Improving Global Outcomes (KDIGO) criterion developed after 17.4% transfusion episodes (base rate). AKI could be predicted with an area under the curve of the receiver operating characteristic (AUC-ROC) of 0.73 ± 0.02. The negative (NPV) and positive (PPV) predictive values were 0.90 ± 0.02 and 0.32 ± 0.03, respectively. Feature importance and relative risk analyses revealed that donor features were far less important than recipient features for predicting posttransfusion AKI.

CONCLUSIONS:
Surprisingly, only the recipients’ characteristics played a decisive role in AKI prediction. Based on this result, we speculate that the selection of a specific pRBC may have less influence than recipient characteristics.
On Thon; or, Thinking Gender in the Interstice
Authors: Snorton C. Riley 
Published: February 2024

Abstract
This essay takes “Interstices: A Small Drama of Words” as an opening for thinking about the impact of Hortense Spillers's thought on Black feminist, queer, and transgender studies. In a reflection on the interstitial, the essay engages Spillers's approaches to the discursive, historiographic, and iconographic dimensions of racialized gender and sexuality in a reading of the failed philological proposal of thon and the life and public memory of the military figure Private William Cathay.
Interior Intersubjectivity: Hortense Spillers's Theory of “the One”
Authors: Warren Calvin 
Published: February 2024

Abstract
There is much in Hortense Spillers's work to celebrate—from black feminism to literary criticism. One of her crucial contributions, however, has received little, if any, scholarly attention. Calvin Warren calls this a black discourse theory. Although we've focused on “the American Grammar Book” and its discursive violence, her proposed “solution” to this violence is virtually neglected. These remarks are intended to foreground this intervention by reconstructing her discourse theory of “the One” and “Interior Intersubjectivity.” In particular Warren notes the influence of Jürgen Habermas on her discourse theory, and how both find psychoanalysis beneficial in the task of restoring speech and addressing muteness. In short, this reconstruction provides a brief overview of the theoretical infrastructure rather than an exhaustive exposition and assessment.
Braised Cucumbers, Maps, and Surprises: Materialist Narratology and Political Theology in the Work of Hortense J. Spillers
Authors: Glick Jeremy Matthew 
Published: February 2024

Abstract
This essay is an impressionistic account of Hortense J. Spillers's materialist synthesis of narrative theory, political theology, and expository logic that foregrounds people-centered histories and surprise in a proliferation of critical and theoretical paradigms and problematics. Focusing primarily on Spillers's mapping of novels by Paule Marshall, Ralph Ellison, and William Faulkner, the essay examines how her work consistently brings history into play alongside mobilizations of myth-criticism, narratology, and religious thought—fields that have notoriously evaded such historical groundings.
“You Said Independence?” The Case of Scotland's and Catalonia's Nationalisms: A Discussion of J. H. Elliott's Scots and Catalans: Union and Disunion
Authors: Vialette Aurélie 
Published: February 2024

Abstract
This review essay addresses one of the most complex contemporary political issues: secessionism. The review essay discusses J. H. Elliott's 2018 book, Scots and Catalans: Union and Disunion, to raise questions regarding the processes of independence in the European Union. Particularly, it focuses on the problematic conceptualization of the debates about Catalan independence in twenty-first-century Europe, explaining why concepts such as nation and nationalism should be rethought, which also implies the need to rethink the use of symbols such as national flags. It also insists that one cannot write on such an urgent political topic without addressing at length the role of culture in political thought and national sentiment. The author theorizes the role of the emotions in the creation of political subjectivities, concentrating especially on the central role that the web and the media are given in the fight for independence.
Nelson Lichtenstein's Essential Contributions to Understanding Class, Labor, Capitalism, and Democracy in the United States
Authors: Brick Howard 
Published: February 2024

Abstract
In a prolific career more than five decades long, Nelson Lichtenstein has devised a kind of labor history that was always implicitly, and by now obviously, a broad “history of capitalism” founded on a radical critique of capital's reign. His meticulous research and sharp-focused analyses provide keys to reveal the main currents and the meaning of US history over the twentieth century and now into the twenty-first. And in interpreting the ebbs and flows of labor struggle, he sets the highest standard of what it means to be an engaged scholar.
Thyroid Response to Mercury: Varied Effects on Function and Structure - A Review of the Latest Research
Authors: Kubicka-Figiel Martyna , Martyka Anna , Taborska Nina 
Published: February 2024

Introduction
In the current era of burgeoning industry, our exposure to various detrimental environmental factors, including mercury, has become increasingly prevalent. Recognized by the World Health Organization (WHO) as one of the most significant threats to public health, mercury induces a multitude of harmful effects on the entire body. Our focus in this article will be directed towards examining the specific impact of mercury on the thyroid.
Purpose of the study
The purpose of the study was to review the latest literature on the effects of mercury on the thyroid gland.
Materials and Methodology
Literature selections of medical databases PubMed and Google Scholar from the last six years (2017-2023) were performed. Articles were searched in English using the following key words: mercury, thyroid.
Results
Research consistently confirms mercury accumulation in thyroid cells, increasing with age. Mercury exposure influences thyroid function, raising the risk of hormonal issues and potential thyroid cancer. It also interacts with other elements, compounding adverse effects on the thyroid.
Conclusion
Presently, there is a limited number of studies specifically addressing the effects of mercury on the human thyroid gland. Consequently, it is probable that the full spectrum of its impacts on the thyroid has not yet been thoroughly investigated. Further research is imperative to delve into this subject comprehensively. Additionally, there is an urgent call for initiatives aimed at enhancing public awareness regarding the sources of mercury in the environment and food, along with strategies to mitigate exposure to this harmful substance.
Supply Chain Contracts in the Small Data Regime
Authors: Zhao Xuejun , Haskell William B. , Yu Guodong 
Published: February 2024

Problem definition: We study supply chain contract design under uncertainty. In this problem, the retailer has full information about the demand distribution, whereas the supplier only has partial information drawn from historical demand realizations and contract terms. The supplier wants to optimize the contract terms, but she only has limited data on the true demand distribution. Methodology/results: We show that the classical approach for contract design is fragile in the small data regime by identifying cases where it incurs a large loss. We then show how to combine the historical demand and retailer data to improve the supplier’s contract design. On top of this, we propose a robust contract design model where the uncertainty set requires little prior knowledge from the supplier. We show how to optimize the supplier’s worst-case profit based on this uncertainty set. In the single-product case, the worst-case profit can be found with bisection search. In the multiproduct case, the worst-case profit can be found with a cutting plane algorithm. Managerial implications: Our framework demonstrates the importance of combining the demand and retailer information into the supplier’s contract design problem. We also demonstrate the advantage of our robust model by comparing it against classical data-driven approaches. This comparison sheds light on the value of information from interactions between agents in a game-theoretic setting and suggests that such information should be utilized in data-driven decision making. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0325 .
Testing a Soil Moisture Sensor Based Irrigation Controller in both Laboratory and Field Conditions for Fargo Silty Clay Soils
Authors: Vaddevolu Uday Bhanu Prakash , Jia Xinhua 
Published: February 2024

Highlights

A soil matric potential sensor-based irrigation system was tested in lab and field experiments.

Soil matric potential and soil moisture levels for each threshold were determined for Fargo silty clay soil through lab experiment.

Thresholds 5, 6, 7, and 8 at -35, -45, -55, and -70 kPa were tested through the field experiment for watermelon production.

Abstract. Irrigation scheduling plays a pivotal role in water management. Conventional irrigation methods often struggle to maintain consistent moisture across fields due to uniform water application irrespective of field conditions and soil moisture levels. Automatic soil moisture sensors offer a solution by tailoring irrigation based on field conditions. These systems trigger irrigation when soil is too dry or skip it when moisture levels are sufficient. Hence, setting the right threshold value is key for sensor-based irrigation. This study involved laboratory testing of an irrigation controller, and determining soil matric potential and volumetric water content at various thresholds (1 to 9) for Fargo Silty Clay soil. Subsequently, a field experiment assessed its performance for a drip irrigation system at different thresholds (5, 6, 7, and 8) for watermelon cultivation, both with and without clear plastic mulch, in a randomized layout. Thresholds 5, 6, 7, and 8 (-35, -45, -55, and -70 kPa), along with no irrigation, were considered with one irrigation event daily. Results from laboratory and field tests underscore the controller’s efficacy in managing drip irrigation timing and duration. Notably, threshold 7 (-55 kPa) combined with clear plastic mulch emerged as the most optimal treatment, yielding the highest watermelon production of 129.6 tons/ha. Moreover, this approach delivered premium produce quality, but utilizing only 142.2 mm of irrigation water. This study emphasizes the role of precise irrigation scheduling. By integrating smart technology and thoughtful threshold setting, agricultural practices can be elevated, yielding abundant crops while conserving water and promoting sustainability. Keywords: Controller, Drip irrigation, Mulch, Sensor, Watermelon.