bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypothyroidism and Type D Personality: Results From E-MPATHY, a Cross-sectional International Online Patient Survey
Authors: Perros Petros , Nagy Endre Vezekenyi , Papini Enrico , Abad-Madroñero Juan , Lakwijk Peter , Poots Alan J , Mols Floortje , Hegedüs Laszlo 
Published: April 2024

Abstract

Context
Between 10% and 15% of people with hypothyroidism experience persistent symptoms, despite achieving biochemical euthyroidism. The underlying causes are unclear. Type D personality (a vulnerability factor for general psychological distress) is associated with poor health status and symptom burden but has not been studied in people with hypothyroidism.

Objective
To investigate type D personality in hypothyroidism and explore associations with other characteristics and patient-reported outcomes.

Design
Multinational, cross-sectional survey.

Setting
Online.

Participants
Individuals with self-reported, treated hypothyroidism.

Intervention
Questionnaire.

Main Outcome Measures
Type D personality and associations with baseline characteristics, control of the symptoms of hypothyroidism by medication, satisfaction with care and treatment of hypothyroidism, impact of hypothyroidism on everyday living.

Results
A total of 3915 responses were received, 3523 of which were valid. The prevalence of type D personality was 54.2%. Statistically significant associations were found between type D personality and several respondent characteristics (age, marital status, ethnicity, household income, comorbidities, type of treatment for hypothyroidism, most recent TSH level), anxiety, depression, somatization, poor control of the symptoms of hypothyroidism by medication, dissatisfaction with care and treatment of hypothyroidism, and a negative impact of hypothyroidism on everyday living).

Discussion
Our study found a high prevalence of type D personality among people with hypothyroidism who responded to the survey. Type D personality may be an important determinant of dissatisfaction with treatment and care among people with hypothyroidism. Our findings require independent confirmation. Close collaboration between the disciplines of thyroidology and psychology is likely to be key in progressing our understanding in this area.
Extended Long-Term Outcome After Conservative Decompressive Microsurgery and Routine Adjuvant Fractionated Stereotactic Radiotherapy for Symptomatic Cavernous Sinus Meningiomas
Authors: Polemikos Manolis , Nakamura Makoto , Merten Roland , Hermann Elvis J. , Bronzlik Paul , Christiansen Hans , Krauss Joachim K. 
Published: April 2024

BACKGROUND AND OBJECTIVES:
Cavernous sinus meningiomas (CSM) pose one of the most difficult to treat subgroup of skull base meningiomas. The purpose of this study was to evaluate the efficacy of an interdisciplinary treatment approach for symptomatic CSM which incorporated conservative function preserving microsurgery and routine adjuvant fractionated stereotactic radiotherapy (FSRT).

METHODS:
A homogenous group of patients with symptomatic primary CSM with extracavernous extension was treated between 2005 and 2012. All patients were available for a minimum follow-up of 5 years. Clinical follow-up included detailed examination of oculomotor deficits, visual status, and endocrinologic function. Radiologic follow-up was conducted by tumor volumetry.

RESULTS:
Overall, 23 patients were included in this study (78.3% women; median age 58 years). Diplopia was the most common presenting symptom, followed by headache and visual disturbances. Surgical morbidity was low (3/23; 13%). FSRT was applied after a median of 2 months after surgery. At a median clinical follow-up of 113 months, 70.45% of the presenting symptoms had improved, 25% remained unchanged, and in 2 cases (4.54%), worsening occurred. Overall tumor regression was evident in 19/21 World Health Organization 1 and in 1/2 of World Health Organization 2 CSM, respectively, at a median radiological follow-up of 103 months.

CONCLUSION:
Our findings demonstrate the efficacy of an interdisciplinary treatment approach for symptomatic primary CSM with extracavernous extension with decompression of neurovascular elements followed by FSRT. Precise preoperative planning and intraoperative decision making in combination with routine postoperative radiotherapy can achieve excellent tumor control, improve neurologic function, and minimize long-term morbidity.
Impact of Storage on Nondestructive Detectability of Codling Moth Infestation in Apples
Authors: Adedeji Akinbode A. , Ekramirad Nader , Villanueva Raul , Khaled Alfadhl Yahya 
Published: April 2024

HighlightsCodling moth responds differently to low temperature conditions during the supply chain.The length of storage and temperature determine the sensitivity of the codling moth to detection.Hyperspectral imaging sensor detectability of codling moth increased with temperature.Abstract. Different conditions during cold storage of codling moth (CM)-infested apples lead to different infestation levels, which affect overall product quality. In this study, the effects of postharvest storage duration (up to 20 weeks) and temperature (0°C, 4°C, and 10°C) on the detectability of CM-infested apples were investigated using the near-infrared (NIR) hyperspectral imaging (HSI) method (900–1700 nm). Fresh organic Gala apples were obtained directly from a commercial market and stored in a controlled environmental chamber at three temperatures for 20 weeks in two groups: control and CM-infested samples. Every four weeks, NIR hyperspectral images in reflectance mode were acquired directly for each set of samples. Machine learning models for the classification of CM-infested apples were developed based on the HSI data. The results revealed that storage duration and temperature had a significant effect on the performance of the classification models in the detection of CM-infested and control apples. Overall, the best classification rates were obtained for apples stored for 16 weeks, with accuracies of 97%, 94%, and 100% at storage temperatures of 0°C, 4°C, and 10°C, respectively. This study is critical for determining the effectiveness of HSI as a nondestructive method for sorting apples into classes based on CM infestation when stored under different conditions and duration, as in this study. Keywords: Apples, Codling moth, Detectability, Machine learning, Nondestructive method.
Simple strategy for the simulation of axially symmetric large-area metasurfaces
Authors: Martins Augusto , da Mota Achiles F. , Stanford Chris , Contreras Taylor , Martin-Albo Justo , Kish Alexander , Escobar Carlos O. , Para Adam , Guenette Roxanne 
Published: April 2024

Metalenses are composed of nanostructures for focusing light and have been widely explored in many exciting applications. However, their expanding dimensions pose simulation challenges. We propose a method to simulate metalenses in a timely manner using vectorial wave and ray tracing models. We sample the metalens’s radial phase gradient and locally approximate the phase profile by a linear phase response. Each sampling point is modeled as a binary blazed grating, employing the chosen nanostructure, to build a transfer function set. The metalens transmission or reflection is then obtained by applying the corresponding transfer function to the incoming field on the regions surrounding each sampling point. Fourier optics is used to calculate the scattered fields under arbitrary illumination for the vectorial wave method, and a Monte Carlo algorithm is used in the ray tracing formalism. We validated our method against finite-difference time domain simulations at 632 nm, and we were able to simulate metalenses larger than 3000 wavelengths in diameter on a personal computer.
Association between burnout and empathy in medical residents
Authors: Zakerkish Mehrnoosh , Shakurnia Abdolhussein , Hafezi Ali , Maniati Mahmood 
Published: April 2024

Background
Burnout is a work-related syndrome that can affect physicians’ performance. Empathy is one of the clinical competencies in whose formation many factors play a role. Empathy and burnout are important topics of research in medical sciences, and both are related to the communication between the patient and the physician. This study investigated the relationship between occupational burnout and empathy among medical residents.

Method
This cross-sectional study was conducted on 297 medical residents in Ahvaz Jundishapur University of Medical Sciences from January to March 2021. The data collection tools were the Jefferson Scale of Empathy (JSE) and the Maslach Burnout Inventory (MBI). The reliability of the instruments was measured by calculating Cronbach’s alpha. Data were analyzed by SPSS-18, using the Pearson correlation test and linear regression models.

Results
The average age of the study population was 33.06 ±4.7 years, with more than half being females (57.6%) and married (51.9%). The residents’ mean scores of empathy and overall burnout were 102.87 out of 140 and 55.90 out of 132, respectively. The burnout scores showed an inverse correlation with the overall empathy scores (r = −0.123, P = 0.035), and the score of standing in the patient’s shoes (r = −0.165, P = 0.004). Linear regression test was used to detect which dimension of empathy was a better predictor for the reduction of burnout scores. Results showed that the best predictor was standing in the patient’s shoes (P = 0.014).

Conclusion
The findings showed a negative association between empathy and burnout among medical residents, which suggests the need for adjustment of the existing burnout management at the institutional level. Therefore, residents should be supported by managers to reduce burnout and improve their empathic behavior.
Cardiovascular Disease Management With Sodium-Glucose Cotransporter-2 Inhibitors in Patients With Type 2 Diabetes: A Cardiology Primer
Authors: Zhang Allan , Kalil Ramsey , Marzec Alexander , Coulter Stephanie A. , Virani Salim , Patel Kershaw V. , Segar Matthew W. 
Published: April 2024

Abstract
Patients with type 2 diabetes face an elevated risk of cardiovascular disease. This review centers on sodium-glucose cotransporter-2 (SGLT2) inhibitors, a class of drugs that, according to a growing body of evidence, may have major potential for managing cardiovascular disease in patients with type 2 diabetes. This review presents findings from multiple clinical trials suggesting that SGLT2 inhibitors can not only serve as preventive therapeutic agents but also play a role in the active management of heart failure. The discussion includes the mechanism of action of SGLT2 inhibitors, emphasizing that they enhance urinary glucose excretion, which could lead to improved glycemic control and contribute to metabolic shifts beneficial to cardiac function. Alongside these cardiometabolic effects, safety concerns and practical considerations for prescribing these agents are addressed, taking into account potential adverse effects such as genitourinary infections and diabetic ketoacidosis as well as the financial implications for patients. Despite these drawbacks, therapeutic indications for SGLT2 inhibitors continue to expand, including for kidney protection, although further research is necessary to fully understand the mechanisms driving the cardioprotective and kidney-protective effects of SGLT2 inhibitors. By synthesizing current knowledge, this review intends to inform and guide clinical decision-making, thereby enhancing cardiovascular disease outcomes in patients with type 2 diabetes.
Cognitive approaches to uniformity and variability in morphology
Authors: Milin Petar , Bermel Neil , Blevins James P. 
Published: April 2024

Abstract
This special issue of Cognitive Linguistics reexamines the notions of uniformity and variability within morphological systems from a cognitive linguistic standpoint. It challenges traditional perspectives that regard morphological variability as mere deviations from the norm, suggesting instead that such variability is systematic and shaped by external influences including language acquisition and processing constraints. The contributions in this issue promote a shift from isolated analysis to a holistic view of paradigms, classes, and systems, advocating for a framework where morphological structures are seen as integral to communicative and functional aspects of language. By accounting for the broad adaptive dynamics of language systems, the complex interplay between uniformity and variability is revealed as an inherent aspect of language usage.
Green quantitative methods for linagliptin and empagliflozin in dosage forms
Authors: Fraihat Safwan M. 
Published: April 2024

Abstract
The frequent drugs prescribed for type 2 diabetes patients are linagliptin (LNG) and empagliflozin (EMG) in different drug formulations. The objective of this research is to create and validate selective and simple methods to evaluate both medications in their dosage forms. Method A for the assay of LNG is based on the drug oxidation using an iodate/iodide mixture, while Method B involves the determination of EMG using permanganate oxidation. The regression graphs had good linearity in the ranges of 0.25–20 and 0.20–1.5 µg·ml−1 for the two drugs, respectively. The limits of detection were 0.082 and 0.065 µg·ml−1 for LNG and EMG, respectively. The two methods were validated and applied for the assay of the drugs in dosage forms successfully.
Enhancement efficacy of omeprazole by conjugation with silver nanoparticles as a urease inhibitor
Authors: Zia Aneesa , Shahzad Ayesha , Riaz Nadia , Khan Sara , Farooq Umar , Bukhari Syed Majid , Sarwar Rizwana , Khalid Asaad , Kashtoh Hamdy , Khan Ajmal , Al-Harrasi Ahmed 
Published: April 2024

Abstract
Omeprazole, a proton pump inhibitor, is used for gastric and duodenal ulcers, gastroesophageal reflux disease, Helicobacter pylori infection, etc. Current research is based on the loading of omeprazole on surface silver nanoparticles by chemical method. The appearance of an absorption peak at 421 nm confirmed the synthesis of nanoparticles. The FT-IR further confirmed the conjugation of functional groups present in omeprazole moiety with silver. The size and morphology were elucidated by transmission electron microscopy and X-ray diffraction which revealed a spherical shape with an average particle size of 16–20 nm. To know enhancement in their efficacy, the omeprazole-loaded nanoparticles were evaluated against antibacterial, urease inhibition, and antioxidant activities. Nanoparticles showed significant antibacterial potential against Staphylococcus aureus and Escherichia coli with 12 ± 0.41 and 13.6 ± 1.02 mm zones of inhibition, respectively. Almost 2.43 times enhanced urease inhibitory activity was found for nanoparticles (IC50 = 2.17 ± 0.10 µg·mL−1) as compared to omeprazole (IC50 = 5.28 ± 0.14 µg·mL−1). The radical scavenging activity of nanoparticles also increased significantly. The synthesized nanoparticles were docked in the active site of urease to investigate their binding mode. Due to excellent urease and bacterial inhibition, these nanoparticles can be used for ulcers.
Ensemble learning methods of inference for spatially stratified infectious disease systems
Authors: Peitsch Jeffrey , Pokharel Gyanendra , Hossain Shakhawat 
Published: April 2024

Abstract
Individual level models are a class of mechanistic models that are widely used to infer infectious disease transmission dynamics. These models incorporate individual level covariate information accounting for population heterogeneity and are generally fitted in a Bayesian Markov chain Monte Carlo (MCMC) framework. However, Bayesian MCMC methods of inference are computationally expensive for large data sets. This issue becomes more severe when applied to infectious disease data collected from spatially heterogeneous populations, as the number of covariates increases. In addition, summary statistics over the global population may not capture the true spatio-temporal dynamics of disease transmission. In this study we propose to use ensemble learning methods to predict epidemic generating models instead of time consuming Bayesian MCMC method. We apply these methods to infer disease transmission dynamics over spatially clustered populations, considering the clusters as natural strata instead of a global population. We compare the performance of two tree-based ensemble learning techniques: random forest and gradient boosting. These methods are applied to the 2001 foot-and-mouth disease epidemic in the U.K. and evaluated using simulated data from a clustered population. It is shown that the spatially clustered data can help to predict epidemic generating models more accurately than the global data.
Repair in Ghanaian judicial discourse
Authors: Obeng Samuel Gyasi , Campbell Akua Asantewaa 
Published: April 2024

Abstract
Repair is an integral part of every natural human discursive practice due to cognitive anxiety, stress, emotional valence, inability to recover words from one’s mental lexicon, slip of the tongue, among others. This study examined repair in Ghanaian judicial interactions using authentic judicial discourse data and working within the theoretical frameworks of conversational analysis and language and power. Results indicate that repairables include word search, correction proper and misstatements. Repair types included self-initiated self-repair, other-initiated other-repair, other-initiated self-repair, and other-initiated other-repair and self-repair. Linguistic and discourse-pragmatic strategies employed in initiating and carrying out repair include, pauses, sound prolongation, word/expression repetition, and morpho-syntactic and discourse-pragmatic features like yes-no questions, wh-questions, quantifiers, adjectives denoting exactness, pronouns, laughter, supportives, scolding via pejorative utterances, politeness/address forms, and calling on actors to abide by the courts’ moral code. In sum, repair is important on issues relating to understandability and interpretability of what judicial participants say, acceptable modes communication and their impact on facts needed to make cases judicable. Stakeholders in Ghanaian judicial practice and Ghanaian jurisprudence must take note of repair’s un-expendable nature in Ghanaian judicial discourse.
Discourse patterning and recursion in the EU case law
Authors: Trklja Aleksandar 
Published: April 2024

Abstract
This paper proposes a novel approach to analysing the text organization of legal texts, specifically focusing on discourse patterning and recursion in the context of EU case law. The study investigates the discourse organization of the judgments of the Court of Justice of the European Union (CJEU) by exploring, in a data-driven analysis, the use of multiword expressions that occur with specific colligation properties. One peculiarity of CJEU judgments is that their structure is not readily visible since headings are unsystematically used. The application of the present approach demonstrated that discourse organization can be revealed in terms of discourse patterns, signalling devices, and by exploring the position of linguistic expressions in the text. The findings not only reveal concealed text organization units in CJEU judgments but also offer a methodological model for similar analyses in other legal and non-legal texts. The proposed model suggests an investigation of the interaction between metadiscourse (IMD), discourse patterns (DPD), and textual colligation, positing that when IMD and DPD exhibit textual colligation, they signal discourse patterning. This proposal connects two levels of text organization through textual correlation. The study further explores relations between discourse patterns in terms of the notion of recursion.
Emotional labor of a Brazilian public school teacher: domination and resistance in a neoliberal context
Authors: de Oliveira Ana Claudia Turcato , Barcelos Ana Maria Ferreira 
Published: April 2024

Abstract
There have been many studies on teachers’ emotional labor and on how the ethics of caring affect teachers’ emotional labor. Yet, little research has examined teacher emotional labor under current neoliberal discourses in the education systems in Brazil. Using interviews and diaries, this study investigated the emotional labor of a Brazilian school teacher of English when teaching according to critical literacy studies. The findings indicated that her emotional labor was related to the political situation in Brazil, neoliberalism discourses and emotional rules, as well as clashes between teacher roles and her desire to teach critically. She felt torn between acting according to what she believed was good for her students and her critical literacy practice versus obeying the emotional rules for teachers’ and students’ roles at her school. As she did that, she experienced both domination and resistance. The study concludes with implications about neoliberalism as related to teacher emotional labor.
Caffeic acid attenuates memory dysfunction and restores the altered activity of cholinergic, monoaminergic and purinergic in brain of cadmium chloride exposure rats
Authors: Adedayo Bukola C. , Agunloye Odunayo M. , Obawarrah Rasheedat Y. , Oboh Ganiyu 
Published: April 2024

Abstract

Objectives This study aims to evaluate the neuroprotective effect of caffeic acid (CAF) against cadmium chloride (CdCl2) in rats via its effect on memory index as well as on altered enzymatic activity in the brain of CdCl2-induced neurotoxicity. Methods The experimental rats were divided into seven groups (n=6 rats per group) of healthy rats (group 1), CdCl2 -induced (CD) (3 mg/kg BW) rats (group 2), CD rats + Vitamin C (group 3), CD rats + CAF (10 and 20 mg/kg BW respectively) (group 4 & 5), and healthy rat + CAF (10 and 20 mg/kg BW respectively) (group 6 & 7). Thereafter, CdCl2 and CAF were administered orally to the experimental rats in group 2 to group 5 on daily basis for 14 days. Then, the Y-maze test was performed on the experimental rats to ascertain their memory index. Results CdCl2 administration significantly altered cognitive function, the activity of cholinesterase, monoamine oxidase, arginase, purinergic enzymes, nitric oxide (NOx), and antioxidant status of Cd rats (untreated) when compared with healthy rats. Thereafter, CD rats treated with vitamin C and CAF (10 and 20 mg/kg BW) respectively exhibited an improved cognitive function, and the observed altered activity of cholinesterase, monoamine oxidase, arginase, purinergic were restored when compared with untreated CD rats. Also, the level of brain NOx and antioxidant status were significantly (p<0.05) enhanced when compared with untreated CD rats. In the same vein, CAF administration offers neuro-protective effect in healthy rats vis-à-vis improved cognitive function, reduction in the activity of some enzymes linked to the progression of cognitive dysfunction, and improved antioxidant status when compared to healthy rats devoid of CAF. Conclusions This study demonstrated the neuroprotective effect of CAF against CdCl2 exposure and in healthy rats.