bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interpreting Image‐based Profiles using Similarity Clustering and Single‐Cell Visualization
Authors: Garcia‐Fossa Fernanda , Cruz Mario Costa , Haghighi Marzieh , de Jesus Marcelo Bispo , Singh Shantanu , Carpenter Anne E. , Cimini Beth A. 
Published: March 2023

AbstractImage‐based profiling quantitatively assesses the effects of perturbations on cells by capturing a breadth of changes via microscopy. Here, we provide two complementary protocols to help explore and interpret data from image‐based profiling experiments. In the first protocol, we examine the similarity among perturbed cell samples using data from compounds that cluster by their mechanisms of action. The protocol includes steps to examine feature‐driving differences between samples and to visualize correlations between features and treatments to create interpretable heatmaps using the open‐source web tool Morpheus. In the second protocol, we show how to interactively explore images together with the numerical data, and we provide scripts to create visualizations of representative single cells and image sites to understand how changes in features are reflected in the images. Together, these two tutorials help researchers interpret image‐based data to speed up research. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Exploratory analysis of profile similarities and driving featuresBasic Protocol 2: Image and single‐cell visualization following profile interpretation
Board gender diversity and corporate social responsibility (CSR) disclosure in different disclosure environments
Authors: Temiz Hüseyin , Acar Merve 
Published: March 2023

AbstractThis study investigates the firms' CSR disclosure by considering the joint effects of board gender diversity and secrecy culture in an international setting. Building on a sample of 14,185 firm‐year observations from 43 countries during 2010–2019, this study shows that while board gender diversity and CSR disclosure are positively associated, countries' secrecy levels negatively affect CSR disclosure. However, we provide evidence that the higher female representation on the board of directors significantly attenuates the restrictive role of secrecy culture on the CSR disclosure level. In other words, the suppressive effect of national secrecy on CSR disclosure weakens firms with higher gender diversity on the board of directors. Our results are robust to several sensitivity checks and endogeneity problems. This study suggests that the reducing effects of national secrecy culture on firms' CSR disclosure level can be attenuated by utilizing internal governance mechanisms such as board gender diversity.
A simple signal extraction‐based online real‐time diagnosis approach for interturn short‐circuit fault of permanent magnet motor
Authors: Hsu Hsien‐Yuan , Lo Tzu‐Yang , Hsieh Min‐Fu 
Published: March 2023

SummaryA fast and reliable interturn short circuit (ITSC) diagnosis system is necessary to secure safe operations of permanent magnet synchronous motor (PMSM) for its widespread applications in industrial automation and electric vehicles. This paper develops a simple online real‐time technique based on signal extraction to detect the ITSC fault in the PMSM. Some popular diagnosis methods involving machine learning or instantaneous power information may require large computing resources, data storage, or extra sensing devices for data collection. This makes it difficult to fulfill online and self‐detection of ITSC faults in motor drive systems. This paper makes use of the second‐order harmonic components indq‐axis current for diagnosis when they occur due to ITSC faults. Through the developed amplitude‐tracking algorithm, the diagnosis can be implemented by using a common digital signal processor without complex algorithms and additional hardware or sensors. Therefore, it is suitable for low‐cost and remote applications where self‐detection is needed. The proposed method is validated by finite element analysis and measurements with a hardware‐in‐the‐loop toolkit. It is found that the method successfully detects a short circuit fault with only one out of 54 turns in one phase of the motor (1.9%).
Cerebrospinal fluid YKL‐40 level evolution is associated with autoimmune encephalitis remission
Authors: Dorcet Guillaume , Benaiteau Marie , Pariente Jérémie , Ory‐Magne Fabienne , Cheuret Emmanuel , Rafiq Marie , Brooks Wesley , Puissant‐Lubrano Bénédicte , Fortenfant Françoise , Renaudineau Yves , Bost Chloé 
Published: March 2023

AbstractObjectiveBecause of its heterogeneity in clinical presentation and course, predicting autoimmune encephalitis (AIE) evolution remains challenging. Hence, our aim was to explore the correlation of several biomarkers with the clinical course of disease.MethodsThirty‐seven cases of AIE were selected retrospectively and divided into active (N = 9), improved (N = 12) and remission (N = 16) AIE according to their disease evolution. Nine proteins were tested in both serum and cerebrospinal fluid (CSF) at diagnosis (T0) and during the follow‐up (T1), in particular activated MMP‐9 (MMP‐9A) and YKL‐40 (or chitinase 3‐like 1).ResultsFrom diagnosis to revaluation, AIE remission was associated with decreased YKL‐40 and MMP‐9A levels in the CSF, and with decreased NfL and NfH levels in the serum. The changes in YKL‐40 concentrations in the CSF were associated with (1) still active AIE when increasing >10% (P‐value = 0.0093); (2) partial improvement or remission when the changes were between +9% and −20% (P‐value = 0.0173); and remission with a reduction > −20% (P‐value = 0.0072; overall difference between the three groups: P‐value = 0.0088). At T1, the CSF YKL‐40 levels were significantly decreased between active and improved as well as improved and remission AIE groups but with no calculable threshold because of patient heterogeneity.ConclusionThe concentration of YKL‐40, a cytokine‐like proinflammatory protein produced by glial cells, is correlated in the CSF with the clinical course of AIE. Its introduction as a biomarker may assist in following disease activity and in evaluating therapeutic response.
DR‐NAP: Data reduction strategy using neural adaptation phenomenon in wireless sensor networks
Authors: Kavitha A. , Guravaiah Koppala , Leela Velusamy R. , Suseela S. , Kumar Dhilip 
Published: March 2023

SummaryInternet of Things (IoT) has got significant popularity among the researchers' community as they have been applied in numerous application domains. Most of the IoT applications are implemented with the help of wireless sensor networks (WSNs). These WSNs use different sensor nodes with a limited battery power supply. Hence, the energy of the sensor node is considered as one of the primary constraints of WSN. Besides, data communication in WSN dissipates more energy than processing the data. In most WSNs applications, the sensed data generated from the same location sensor nodes are identical or time‐series/periodical data. This redundant data transmission leads to more energy consumption. To reduce the energy consumption, a data reduction strategy using neural adaptation phenomenon (DR‐NAP) has been proposed to decrease the communication energy in routing data to the BS in WSN. The neural adaptation phenomenon has been utilized for designing a simple data reduction scheme to decrease the amount of data transmitted. In this way, the sensor node energy is saved and the lifetime of the network is enhanced. The proposed approach has been implanted in the existing gravitational search algorithm (GSA)‐based clustered routing for WSN. The sensed data are transmitted to CH and BS using DR‐NAP. Real sensor data from the Intel Berkeley Research lab have been used for conducting the experiments. The experiment results show 47.82% and 51.96% of improvement in network lifetime when compared with GSA‐based clustered routing and clustering scheme using Canada Geese Migration Principle (CS‐CGMP) for routing, respectively.
Transgender congruence, body appreciation, body dissatisfaction, and disordered eating in Chinese transgender adults
Authors: Barnhart Wesley R. , Cui Shuqi , Cui Tianxiang , Hong Dinan , He Jinbo 
Published: March 2023

AbstractObjectiveAmple evidence shows that transgender congruence is negatively associated with body dissatisfaction and disordered eating in the Western context; however, limited research has explored these relationships in non‐Western populations (e.g., Chinese transgender adults). Moreover, to our knowledge, there has been no research describing disordered eating in Chinese transgender adults. Thus, this study aimed to explore group differences in and relationships between transgender congruence, body appreciation, body dissatisfaction, and disordered eating in Chinese transgender adults.MethodsThis study examined transgender congruence, body appreciation, body dissatisfaction, and disordered eating in a sample of Chinese transgender adults (N = 200). Chi‐square, F tests, and correlation analyses were conducted to examine group differences and relationships between study variables.ResultsOf the transgender adults, 31.0% screened positive as probable eating disorder (ED) cases. There were no gender identity differences in the study variables. Transgender congruence was positively associated body appreciation (r = .40, p < .001) and negatively associated with body dissatisfaction (r = −.26, p < .001) and disordered eating (r = −.15, p = .031).DiscussionChinese transgender adults may be at high risk of EDs. Transgender congruence and body appreciation may serve a protective role in the context of eating pathology in Chinese transgender adults. Future research is needed to validate the observed relationships between transgender congruence, body appreciation, body dissatisfaction, and disordered eating in Chinese transgender adults.Public SignificanceResearch on disordered eating and body image in Chinese transgender adults is limited. This study describes disordered eating and its relations with transgender congruence, body appreciation, and body dissatisfaction in Chinese transgender adults. Findings highlight the need for and implications of ED intervention in Chinese transgender adults.
Characteristics and outcomes of patients with a history of cancer recruited to heart failure trials
Authors: Dobbin Stephen J.H. , Shen Li , Petrie Mark C. , Packer Milton , Solomon Scott D. , McMurray John J.V. , Lang Ninian N. , Jhund Pardeep S. 
Published: March 2023

AbstractAimsHeart failure (HF) therapy trials usually exclude cancer patients. We examined the association between cancer history and outcomes in trial participants with HF and reduced (HFrEF) or preserved ejection fraction (HFpEF).Methods and resultsWe combined PARADIGM‐HF and ATMOSPHERE, which enrolled HFrEF patients (n = 15 415) and we pooled HFpEF patients (ejection fraction ≥45%) enrolled in PARAGON‐HF and CHARM‐Preserved (n = 7363). The associations between cancer history, cardiovascular (CV) death, HF hospitalization, non‐CV and all‐cause death in these trials were examined. Incident cancer diagnoses during these trials were also measured. There were 658 (4.3%) and 624 (8.5%) patients with a cancer history in the HFrEF and HFpEF trials, respectively. HFrEF patients with a cancer history had a higher risk of HF hospitalization (adjusted hazard ratio [HR] 1.28; 95% confidence interval [CI] 1.07–1.52, p = 0.007) and non‐CV death (adjusted HR 1.57; 95% CI 1.16–2.12, p = 0.003) than those without. The risks of other outcomes were similar. There were no differences in the risk of any outcome in HFpEF patients with and without a cancer history. Adjusting for age and sex, the incidence of new cancer in the HFrEF and HFpEF trials was 1.09 (95% CI 0.83–1.36) and 1.07 (95% CI 0.81–1.32) per 100 person‐years, respectively.ConclusionsAlthough participants in HFrEF trials with a cancer history had higher risks of HF hospitalization and non‐CV death than those without, the risks of CV and all‐cause death were similar. Outcomes in HFpEF patients with and without a cancer history were similar. Incident cancer diagnoses were similar in HFrEF and HFpEF trials.
Effect of the Insecticide Chlorpyrifos on Behavioral and Metabolic Aspects of the Spider Polybetes pythagoricus
Authors: Molina Gabriel , Laino Aldana , Arrighetti Florencia , Lacava Mariangeles , Romero Sofia , Mijailovsky Sergio , Garcia Carlos Fernando 
Published: March 2023

Abstract
The toxicity of pesticides to organisms depends on the total amount of chemical exposure. Toxicity can be minimized if the organism recognizes the pesticide and alters its behavior. Furthermore, the physical barrier of cuticular hydrocarbons can prevent the entrance of the pesticide into the organism. Finally, if the pesticide enters the body, the organism experiences physiological changes favoring detoxification and the maintenance of homeostasis. We analyzed the behavioral and metabolic response of the spider Polybetes pythagoricus at different times of exposure to the organophosphate pesticide chlorpyrifos. First we observed that the individuals are capable of recognizing and avoiding surfaces treated with pesticides based on a behavioral analysis. Subsequently, we characterized cuticular hydrocarbons as a possible barrier against pesticides. Then we observed that the pesticide provoked histological damage, mainly at the level of the midgut diverticula. Finally, we analyzed the activity of several of the spider's enzymes linked to oxidative stress after exposure to chlorpyrifos for different lengths of time (6, 24, and 48 h). We observed that catalase activity was high at the start, whereas the activity of superoxide dismutase and glutathione S-transferase changed significantly at 48 h. Lipid peroxidation became high at 6 h, but decreased at 48 h. In conclusion, although P. pythagoricus can avoid contact with chlorpyrifos, this pesticide causes activation of the antioxidant system when it enters the body. Our results make a significant contribution to the ecotoxicology of spiders. Environ Toxicol Chem 2023;42:1293–1308. © 2023 SETAC
Reversibility of Thyroid Hormone System–Disrupting Effects on Eye and Thyroid Follicle Development in Zebrafish (Danio rerio) Embryos
Authors: Pannetier Pauline , Poulsen Rikke , Gölz Lisa , Coordes Sara , Stegeman Hanna , Koegst Johannes , Reger Luisa , Braunbeck Thomas , Hansen Martin , Baumann Lisa 
Published: March 2023

Abstract
Early vertebrate development is partially regulated by thyroid hormones (THs). Environmental pollutants that interact with the TH system (TH system–disrupting chemicals [THSDCs]) can have massively disrupting effects on this essential phase. Eye development of fish is directly regulated by THs and can, therefore, be used as a thyroid-related endpoint in endocrine disruptor testing. To evaluate the effects of THSDC-induced eye malformations during early development, zebrafish (Danio rerio) embryos were exposed for 5 days postfertilization (dpf) to either propylthiouracil, a TH synthesis inhibitor, or tetrabromobisphenol A, which interacts with TH receptors. Subsequently, one half of the embryos were exposed further to the THSDCs until 8 dpf, while the other half of the embryos were raised in clean water for 3 days to check for reversibility of effects. Continued THSDC exposure altered eye size and pigmentation and induced changes in the cellular structure of the retina. This correlated with morphological alterations of thyroid follicles as revealed by use of a transgenic zebrafish line. Interestingly, effects were partly reversible after a recovery period as short as 3 days. Results are consistent with changes in TH levels measured in different tissues of the embryos, for example, in the eyes. The results show that eye development in zebrafish embryos is very sensitive to THSDC treatment but able to recover quickly from early exposure by effective repair mechanisms. Environ Toxicol Chem 2023;42:1276–1292. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Physical quality of gluten‐free doughs and fresh pasta made of amaranth
Authors: Lux (née Bantleon) Tanja , Spillmann Frauke , Reimold Frederike , Erdös Adam , Lochny Annekathrin , Flöter Eckhard 
Published: March 2023

AbstractPasta is one of the most consumed foods in the world. Therefore, the development and investigation of the quality parameters of fresh gluten‐free pasta made from amaranth was the subject of this study. For this purpose, different doughs (amaranth flour: water 1:2, 1:4, 1:6, 1:8, 1:10) were heat‐treated and sodium alginate (1.0 and 1.5%) was added. The pasta was produced by extrusion into a 0.1 M calcium L‐lactate pentahydrate‐containing bath. Both the dough and the pasta were examined. The doughs for its viscosity properties, water content, and color and the pasta for its firmness, color, water content, water absorption, cooking loss, and swelling index. The pasta was cooked for 5, 10, and 15 min for the cooking quality study. A higher alginate content of 1.5% and a higher proportion of amaranth flour resulted in a significant difference in color, water content, and shear‐dependent viscosity of the dough (p < .001). It was also found that both doughs with amaranth flour‐water content of 1:2 and 1:10 had significant effects on processing properties and pasta quality, especially on firmness, swelling index, and cooking loss. For the doughs with a 1:2 ratio, the high flour content resulted in very soft pasta, and for the doughs with a 1:10 ratio, the high‐water content resulted in very firm pasta with a smooth, watery surface. Overall, cooking loss, swelling index, and water absorption were low for the pasta with 1.5% alginate. Even with cooking times of 15 min, the pasta retained its shape.
The effects of purslane consumption on glycemic control and oxidative stress: A systematic review and dose–response meta‐analysis
Authors: Jafari Naser , Shoaibinobarian Nargeskhatoon , Dehghani Azadeh , Rad Amirhosein , Mirmohammadali Seyedeh Nooshan , Alaeian Mohammad Javad , Hamedi Yasaman , Zamani Mohamad , Goudarzi Mohammad Ali , Asbaghi Omid 
Published: March 2023

AbstractPurslane (Portulaca oleracea L.) is a herbal remedy with wide range of pharmaceutic properties. Although the beneficial effect of purslane on the treatment of Type 2 Diabetes Mellitus (T2DM) has been shown, there is an inconsistency among the results of previous studies. Therefore, this study is aimed at conducting a systematic review and meta‐analysis on the effect of purslane on glycemic profile and oxidative stress markers. A systematic search was performed in the Scopus, Web of science, PubMed and the Cochrane Library to find articles related to the effect of the purslane on Malondialdehyde (MDA) and Total Antioxidant Capacity (TAC), Fasting Blood Sugar (FBS), Hemoglobin A1c (HbA1c), insulin resistance, Homeostatic Model Assessment for Insulin Resistance (HOMA‐IR) up to September 2022. Among the 611 initial studies that were identified from searching electronic databases, 16 Randomized Clinical Trials (RCTs) involving 1122 participants (557 cases and 565 controls) were included for data analysis. The results of random‐effects modeling demonstrated that purslane consumption significantly reduced FBS (p < .001), MDA (p < .001) and increased TAC (p < .001). However, purslane consumption did not affect HbA1c (p < .109), fasting insulin (p = .298) and HOMA‐IR (p = .382). Meta‐analyses were performed using both the random‐ and fixed‐effects model where appropriate, and I2 index was used to evaluate the heterogeneity. This meta‐analysis study suggests that purslane has beneficial effects on oxidative stress markers and glycemic parameter. Therefore, it may be a promising adjuvant therapy in T2DM because of its benefits and negligible adverse effects.
Effects on resting‐state EEG phase‐amplitude coupling in insomnia disorder patients following 1 Hz left dorsolateral prefrontal cortex rTMS
Authors: Guo Yongjian , Zhao Xumeng , Zhang Xiaozi , Li Minpeng , Liu Xiaoyang , Lu Ling , Liu Jiayi , Li Yan , Zhang Shan , Yue Lirong , Li Jun , Liu Jixin , Zhu Yuanqiang , Zhu Yifei , Sheng Xiaona , Yu Dahua , Yuan Kai 
Published: March 2023

AbstractDespite burgeoning evidence for cortical hyperarousal in insomnia disorder, the existing results on electroencephalography spectral features are highly heterogeneous. Phase‐amplitude coupling, which refers to the modulation of the low‐frequency phase to a high‐frequency amplitude, is probably a more sensitive quantitative measure for characterizing abnormal neural oscillations and explaining the therapeutic effect of repetitive transcranial magnetic stimulation in the treatment of patients with insomnia disorder. Sixty insomnia disorder patients were randomly divided into the active and sham treatment groups to receive 4 weeks of repetitive transcranial magnetic stimulation treatment. Behavioral assessments, resting‐state electroencephalography recordings, and sleep polysomnography recordings were performed before and after repetitive transcranial magnetic stimulation treatment. Forty good sleeper controls underwent the same assessment. We demonstrated that phase‐amplitude coupling values in the frontal and temporal lobes were weaker in Insomnia disorder patients than in those with good sleeper controls at baseline and that phase‐amplitude coupling values near the intervention area were significantly enhanced after active repetitive transcranial magnetic stimulation treatment. Furthermore, the enhancement of phase‐amplitude coupling values was significantly correlated with the improvement of sleep quality. This study revealed the potential of phase‐amplitude coupling in assessing the severity of insomnia disorder and the efficacy of repetitive transcranial magnetic stimulation treatment, providing new insights on the abnormal physiological mechanisms and future treatments for insomnia disorder.
Heterogeneous brain dynamic functional connectivity patterns in first‐episode drug‐naive patients with major depressive disorder
Authors: Jing Rixing , Lin Xiao , Ding Zengbo , Chang Suhua , Shi Le , Liu Lin , Wang Qiandong , Si Juanning , Yu Mingxin , Zhuo Chuanjun , Shi Jie , Li Peng , Fan Yong , Lu Lin 
Published: March 2023

AbstractIt remains challenging to identify depression accurately due to its biological heterogeneity. As people suffering from depression are associated with functional brain network alterations, we investigated subtypes of patients with first‐episode drug‐naive (FEDN) depression based on brain network characteristics. This study included data from 91 FEDN patients and 91 matched healthy individuals obtained from the International Big‐Data Center for Depression Research. Twenty large‐scale functional connectivity networks were computed using group information guided independent component analysis. A multivariate unsupervised normative modeling method was used to identify subtypes of FEDN and their associated networks, focusing on individual‐level variability among the patients for quantifying deviations of their brain networks from the normative range. Two patient subtypes were identified with distinctive abnormal functional network patterns, consisting of 10 informative connectivity networks, including the default mode network and frontoparietal network. 16% of patients belonged to subtype I with larger extreme deviations from the normal range and shorter illness duration, while 84% belonged to subtype II with weaker extreme deviations and longer illness duration. Moreover, the structural changes in subtype II patients were more complex than the subtype I patients. Compared with healthy controls, both increased and decreased gray matter (GM) abnormalities were identified in widely distributed brain regions in subtype II patients. In contrast, most abnormalities were decreased GM in subtype I. The informative functional network connectivity patterns gleaned from the imaging data can facilitate the accurate identification of FEDN‐MDD subtypes and their associated neurobiological heterogeneity.