bluuebunny/crossref_metadata_2025 huggingface dataset:
New C8-substituted caffeine derivatives as promising antioxidants and cytoprotective agents in human erythrocytes
Authors: Sierakowska Arleta , Jasiewicz Beata , Piosik Łukasz , Mrówczyńska Lucyna
Published: January 2023

New structurally diverse groups of C8-substituted caffeine derivatives were synthesized and evaluated for their chemical and biological properties. Mass spectrometry, FT-IR, and NMR characterizations of these derivatives were performed. The cytotoxic activity of the derivatives was estimated in vitro using human red blood cells (RBC) and in silico pharmacokinetic studies. The antioxidant capacity of the compounds was analyzed using a ferrous ion chelating activity assay. The ability of the derivatives to protect RBC from oxidative damage, including the oxidation of hemoglobin to methemoglobin, was assessed using a water-soluble 2,2′-azobis(2-methyl-propionamidine) dihydrochloride (AAPH) as a standard inducer of peroxyl radicals. The level of intracellular oxidative stress was assessed using the fluorescent redox probe 2′,7′-dichlorodihydrofluorescein diacetate (DCF-DA). The results indicate that all derivatives are biocompatible compounds with significant antioxidant and cytoprotective potential dependent on their chemical structure. In order to explain the antioxidant and cytoprotective activity of the derivatives, a mechanism of hydrogen atom transfer (HAT), radical adduct formation (RAF), or single electron transfer (SET), as well as the specific interactions of the derivatives with the lipid bilayer of RBC membrane, have been proposed. The results show that selected modifications of the caffeine molecule enhance its antioxidant properties, which expands our knowledge of the structure–activity relationship of caffeine-based cytoprotective compounds.
Biological and metabolic effects of the association between the microalga Galdieria sulphuraria and the fungus Penicillium citrinum
Authors: Salvatore Maria Michela , Carraturo Federica , Salbitani Giovanna , Rosati Luigi , De Risi Arianna , Andolfi Anna , Salvatore Francesco , Guida Marco , Carfagna Simona
Published: January 2023

Contamination of microalgae cultures can reduce their productivity and affect the quality of biomass and valuable bioproducts. In this article, after having isolated and identified for the first time the filamentous fungus Penicillium citrinum from heterotrophic cultures of the red polyextremophilic microalga Galdieria sulphuraria, we investigated the biological and metabolic significance of this alga-fungus association. In the same medium, both organisms grow better in each other's presence than separately. Both cell density and cell size of G. sulphuraria increase in co-cultures compared to pure alga cultures. In co-cultures, despite very severe growth conditions, the load of P. citrinum increases compared to pure fungus cultures. Optical microscope images have shown physical contact between cells of P. citrinum hyphae and G. sulphuraria which, however, retain their morphology and cell wall intact. GC–MS-based metabolomics analysis of metabolites excreted in the culture medium shows that pure cultures of the fungus and alga and co-cultures of alga plus fungus can be easily differentiated based on their metabolic products. Indeed, a richer assortment of extracellular metabolites (comprising both products of primary and secondary metabolism) is a distinct feature of co-cultures compared to both pure alga and pure fungus cultures.
Detection of abnormal extraocular muscles in small datasets of computed tomography images using a three-dimensional variational autoencoder
Authors: Chung Yeon Woong , Choi In Young
Published: January 2023

We sought to establish an unsupervised algorithm with a three–dimensional (3D) variational autoencoder model (VAE) for the detection of abnormal extraocular muscles in small datasets of orbital computed tomography (CT) images. 334 CT images of normal orbits and 96 of abnormal orbits diagnosed as thyroid eye disease were used for training and validation; 24 normal and 11 abnormal orbits were used for the test. A 3D VAE was developed and trained. All images were preprocessed to emphasize extraocular muscles and to suppress background noise (e.g., high signal intensity from bones). The optimal cut-off value was identified through receiver operating characteristic (ROC) curve analysis. The ability of the model to detect muscles of abnormal size was assessed by visualization. The model achieved a sensitivity of 79.2%, specificity of 72.7%, accuracy of 77.1%, F1-score of 0.667, and AUROC of 0.801. Abnormal CT images correctly identified by the model showed differences in the reconstruction of extraocular muscles. The proposed model showed potential to detect abnormalities in extraocular muscles using a small dataset, similar to the diagnostic approach used by physicians. Unsupervised learning could serve as an alternative detection method for medical imaging studies in which annotation is difficult or impossible to perform.
Rapid decline in kidney function is associated with rapid deterioration of health-related quality of life in chronic kidney disease
Authors: Kim Hyo Jin , Kim Da Woon , Rhee Harin , Song Sang Heon , Park Sue Kyung , Kim Soo Wan , Kim Yeong Hoon , Sung Suah , Oh Kook-Hwan , Seong Eun Young
Published: January 2023

This study aimed to evaluate changes in health-related quality of life (HRQOL) in patients with chronic kidney disease (CKD) according to decline in kidney function. HRQOL was assessed using the Short Form-36 questionnaire composed of a physical component summary (PCS) and mental component summary (MCS). Rapid decline in kidney function was defined as a decline in the estimated glomerular filtration rate (eGFR) of > 3 mL/min/1.73 m2/year. Rapid deterioration of HRQOL was defined a change in the HRQOL value greater than the median. Among 970 patients, 360 (37.1%) were in the rapid kidney function decline group. In 720 patients who were 1:1 propensity score-matched, the baseline eGFR was not significantly different between the non-rapid and rapid kidney function decline groups. Compared with the baseline PCS score, the 5-year PCS score decreased in the non-rapid and rapid kidney function decline groups. The 5-year MCS score significantly decreased in the rapid kidney function decline group alone. Rapid decline in kidney function was significantly associated with rapid deterioration of the PCS (odds ratio [OR]: 1.48; 95% confidence interval [CI]: 1.07–2.05; P = 0.018) and MCS (OR: 1.89; 95% CI 1.36–2.62; P < 0.001) scores. Rapid decline in kidney function was associated with rapid deterioration of HRQOL in patients with CKD.
CENPF knockdown inhibits adriamycin chemoresistance in triple-negative breast cancer via the Rb-E2F1 axis
Authors: Wang Depeng , Xu Wei , Huang Minghua , Ma Wei , Liu Yulu , Zhou Xingchen , Yang Qingrui , Mu Kun
Published: January 2023

Drug resistance occurs frequently in triple-negative breast cancer (TNBC) and leads to early relapse and short survival. Targeting the DNA damage response (DDR) has become an effective strategy for overcoming TNBC chemoresistance. CENPF (centromere protein) is a key regulator of cell cycle progression, but its role in TNBC chemotherapy resistance remains unclear. Here, we found that CENPF, which is highly expressed in TNBC, is associated with a poor prognosis in patients receiving chemotherapy. In addition, in vitro CENPF knockdown significantly increased adriamycin (ADR)-induced cytotoxicity in MDA-MB-231 cells and ADR-resistant cells (MDA-MB-231/ADR). Then, we demonstrated that CENPF targets Chk1-mediated G2/M phase arrest and binds to Rb to compete with E2F1 in TNBC. Considering the crucial role of E2F1 in the DNA damage response and DNA repair, a novel mechanism by which CENPF regulates the Rb-E2F1 axis will provide new horizons to overcome chemotherapy resistance in TNBC.
Domain-wall magnetoelectric coupling in multiferroic hexagonal YbFeO3 films
Authors: Li Xin , Yun Yu , Thind Arashdeep Singh , Yin Yuewei , Li Qiang , Wang Wenbin , N’Diaye Alpha T. , Mellinger Corbyn , Jiang Xuanyuan , Mishra Rohan , Xu Xiaoshan
Published: January 2023

Electrical modulation of magnetic states in single-phase multiferroic materials, using domain-wall magnetoelectric (ME) coupling, can be enhanced substantially by controlling the population density of the ferroelectric (FE) domain walls during polarization switching. In this work, we investigate the domain-wall ME coupling in multiferroic h-YbFeO3 thin films, in which the FE domain walls induce clamped antiferromagnetic (AFM) domain walls with reduced magnetization magnitude. Simulation according to the phenomenological theory indicates that the domain-wall ME effect is dramatically enhanced when the separation between the FE domain walls shrinks below the characteristic width of the clamped AFM domain walls during the ferroelectric switching. Experimentally, we show that while the magnetization magnitude remains same for both the positive and the negative saturation polarization states, there is evidence of magnetization reduction at the coercive voltages. These results suggest that the domain-wall ME effect is viable for electrical control of magnetization.
Predictive correction of serum sodium concentration with formulas derived from the Edelman equation in patients with severe hyponatremia
Authors: Nagase Koya , Watanabe Tsuyoshi , Nomura Akihiro , Nagase Fumika N. , Iwasaki Keita , Nakamura Yoshihiro , Ikai Hiroki , Yamamoto Mari , Murai Yukari , Yokoyama-Kokuryo Waka , Takizawa Naoho , Shimizu Hideaki , Fujita Yoshiro
Published: January 2023

Severe hyponatremia can cause life-threatening cerebral edema. Treatment comprises rapid elevation of serum sodium concentration; however, overcorrection can result in osmotic demyelination. This study investigated potential factors, including predictive correction based on the Edelman equation, associated with appropriate correction in 221 patients with a serum sodium concentration ≤ 120 mEq/L who were admitted to a hospital in Nagoya, Japan. Appropriate correction was defined as an elevation in serum sodium concentration in the range of 4–10 mEq/L in the first 24 h and within 18 mEq/L in the first 48 h after the start of the correction. Appropriate corrections were made in 132 (59.7%) of the 221 patients. Multivariate analysis revealed that predictive correction with an infusate and fluid loss formula derived from the Edelman equation was associated with appropriate correction of serum sodium concentration (adjusted odds ratio, 7.84; 95% confidence interval, 2.97–20.64). Relative without its use, the predictive equation results in a lower proportion of undercorrection (14.3% vs. 48.0%, respectively) and overcorrection (1.0% vs. 12.2%, respectively). These results suggest that predictive correction of serum sodium concentrations using the formula derived from the Edelman equation can play an essential role in the appropriate management of patients with severe hyponatremia.
Data-driven nonstationary signal decomposition approaches: a comparative analysis
Authors: Eriksen Thomas , Rehman Naveed ur
Published: January 2023

Signal decomposition (SD) approaches aim to decompose non-stationary signals into their constituent amplitude- and frequency-modulated components. This represents an important preprocessing step in many practical signal processing pipelines, providing useful knowledge and insight into the data and relevant underlying system(s) while also facilitating tasks such as noise or artefact removal and feature extraction. The popular SD methods are mostly data-driven, striving to obtain inherent well-behaved signal components without making many prior assumptions on input data. Among those methods include empirical mode decomposition and variants, variational mode decomposition and variants, synchrosqueezed transform and variants and sliding singular spectrum analysis. With the increasing popularity and utility of these methods in wide-ranging applications, it is imperative to gain a better understanding and insight into the operation of these algorithms, evaluate their accuracy with and without noise in input data and gauge their sensitivity against algorithmic parameter changes. In this work, we achieve those tasks through extensive experiments involving carefully designed synthetic and real-life signals. Based on our experimental observations, we comment on the pros and cons of the considered SD algorithms as well as highlighting the best practices, in terms of parameter selection, for the their successful operation. The SD algorithms for both single- and multi-channel (multivariate) data fall within the scope of our work. For multivariate signals, we evaluate the performance of the popular algorithms in terms of fulfilling the mode-alignment property, especially in the presence of noise.
Explainable artificial intelligence as a reliable annotator of archaeal promoter regions
Authors: Sganzerla Martinez Gustavo , Perez-Rueda Ernesto , Kumar Aditya , Sarkar Sharmilee , de Avila e Silva Scheila
Published: January 2023

Archaea are a vast and unexplored cellular domain that thrive in a high diversity of environments, having central roles in processes mediating global carbon and nutrient fluxes. For these organisms to balance their metabolism, the appropriate regulation of their gene expression is essential. A key momentum in regulating genes responsible for the life maintenance of archaea is when transcription factor proteins bind to the promoter element. This DNA segment is conserved, which enables its exploration by machine learning techniques. Here, we trained and tested a support vector machine with 3935 known archaeal promoter sequences. All promoter sequences were coded into DNA Duplex Stability. After, we performed a model interpretation task to map the decision pattern of the classification procedure. We also used a dataset of known-promoter sequences for validation. Our results showed that an AT rich region around position − 27 upstream (relative to the start TSS) is the most conserved in the analyzed organisms. In addition, we were able to identify the BRE element (− 33), the PPE (at − 10) and a position at + 3, that provides a more understandable picture of how promoters are organized in all the archaeal organisms. Finally, we used the interpreted model to identify potential promoter sequences of 135 unannotated organisms, delivering regulatory regions annotation of archaea in a scale never accomplished before (https://pcyt.unam.mx/gene-regulation/). We consider that this approach will be useful to understand how gene regulation is achieved in other organisms apart from the already established transcription factor binding sites.
Numerical computation of electrical potential on a gas evolving electrode
Authors: Abdelghani-Idrissi Soufiane , Colin Annie
Published: January 2023

Electrochemical systems using a gas evolving electrode, such as metal-air batteries or electrolyzers, are confronted with recurrent problems related to gas production. Indeed, the production of gas at the surface of the electrodes causes a masking of the active surface which induces overvoltages and unstable electrical signals in time. We propose here numerical computations that take into account the spatial heterogeneity of the electrode and allow to account for the size distribution of the produced bubbles. We compare these computations to experiments on a Platinum–Carbon plate cell in the presence or absence of electrolyte flow. They reproduce the observed behavior and allow us to predict the stability of the signals. They are also a guide for the synthesis of efficient electrodes.
A mediated moderation model of negative life events, self-esteem, rumination and parental divorce on depression among Chinese juvenile delinquents
Authors: Zhao Shou-Ying , Ren Rong-Rong , Chen Wei
Published: January 2023

Little attention was paid to the prevalence of depression in Chinese juvenile delinquents who are studied in correctional work-study schools. Hence, the present study aimed to test the unique, mediating and moderating effects of negative life events, self-esteem, rumination and parental divorce on depression among Chinese juvenile delinquents. A total of 236 juvenile delinquents aged between 12 and 17 years old (M = 14.68 SD = 1.30) were recruited to accomplish a battery of self-report questionnaires concerning their negative life events, self-esteem, rumination, depression and demographic profile. The descriptive analysis showed that there was a positive correlation between negative life events and depression in Chinese juvenile delinquents. Moreover, the results from the structural model indicated that self-esteem and rumination played separate and sequential mediating roles between negative life events and depression. In addition, parental divorce had a moderating effect between negative life events and self-esteem in the model. These results suggest that the prevalence of depression among Chinese juvenile delinquents can be reduced through modification of the ruminative way of thinking, improving their self-esteem when they encounter a number of negative life events. Furthermore, more attention should be paid to the juvenile delinquents who experienced parental divorce.
A reinforcement learning approach to explore the role of social expectations in altruistic behavior
Authors: Castañón Rosendo , Campos Fco. Alberto , Villar José , Sánchez Angel
Published: January 2023

While altruism has been studied from a variety of standpoints, none of them has proven sufficient to explain the richness of nuances detected in experimentally observed altruistic behavior. On the other hand, the recent success of behavioral economics in linking expectation formation to key behaviors in complex societies hints to social expectations having a key role in the emergence of altruism. This paper proposes an agent-based model based upon the Bush–Mosteller reinforcement learning algorithm in which agents, subject to stimuli derived from empirical and normative expectations, update their aspirations (and, consequently, their future cooperative behavior) after playing successive rounds of the Dictator Game. The results of the model are compared with experimental results. Such comparison suggests that a stimuli model based on empirical and normative expectations, such as the one presented in this work, has considerable potential for capturing the cognitive-behavioral processes that shape decision-making in contexts where cooperative behavior is relevant.
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates
Authors: Vekuri Henriikka , Tuovinen Juha-Pekka , Kulmala Liisa , Papale Dario , Kolari Pasi , Aurela Mika , Laurila Tuomas , Liski Jari , Lohila Annalea
Published: January 2023

Climate change mitigation requires, besides reductions in greenhouse gas emissions, actions to increase carbon sinks in terrestrial ecosystems. A key measurement method for quantifying such sinks and calibrating models is the eddy covariance technique, but it requires imputation, or gap-filling, of missing data for determination of annual carbon balances of ecosystems. Previous comparisons of gap-filling methods have concluded that commonly used methods, such as marginal distribution sampling (MDS), do not have a significant impact on the carbon balance estimate. By analyzing an extensive, global data set, we show that MDS causes significant carbon balance errors for northern (latitude $$>60^\circ$$

>

60
∘

) sites. MDS systematically overestimates the carbon dioxide (CO$$_2$$

2

) emissions of carbon sources and underestimates the CO$$_2$$

2

sequestration of carbon sinks. We also reveal reasons for these biases and show how a machine learning method called extreme gradient boosting or a modified implementation of MDS can be used to substantially reduce the northern site bias.
Differential angiogenesis of bone and muscle endothelium in aging and inflammatory processes
Authors: Arrigoni Chiara , Ostano Paola , Bersini Simone , Crippa Martina , Colombo Maria Vittoria , Gilardi Mara , Zagra Luigi , Mello-Grand Maurizia , Gregnanin Ilaria , Ghilardi Carmen , Bani Maria Rosa , Candrian Christian , Chiorino Giovanna , Moretti Matteo
Published: January 2023

Different tissues have different endothelial features, however, the implications of this heterogeneity in pathological responses are not clear yet. “Inflamm-aging” has been hypothesized as a possible trigger of diseases, including osteoarthritis (OA) and sarcopenia, often present in the same patient. To highlight a possible contribution of organ-specific endothelial cells (ECs), we compare ECs derived from bone and skeletal muscle of the same OA patients. OA bone ECs show a pro-inflammatory signature and higher angiogenic sprouting as compared to muscle ECs, in control conditions and stimulated with TNFα. Furthermore, growth of muscle but not bone ECs decreases with increasing patient age and systemic inflammation. Overall, our data demonstrate that inflammatory conditions in OA patients differently affect bone and muscle ECs, suggesting that inflammatory processes increase angiogenesis in subchondral bone while associated systemic low-grade inflammation impairs angiogenesis in muscle, possibly highlighting a vascular trigger linking OA and sarcopenia.
Using click chemistry to study microbial ecology and evolution
Authors: van Kasteren Sander , Rozen Daniel E
Published: January 2023

Technological advances have largely driven the revolution in our understanding of the structure and function of microbial communities. Culturing, long the primary tool to probe microbial life, was supplanted by sequencing and other -omics approaches, which allowed detailed quantitative insights into species composition, metabolic potential, transcriptional activity, secretory responses and more. Although the ability to characterize “who’s there” has never been easier or cheaper, it remains technically challenging and expensive to understand what the diverse species and strains that comprise microbial communities are doing in situ, and how these behaviors change through time. Our aim in this brief review is to introduce a developing toolkit based on click chemistry that can accelerate and reduce the expense of functional analyses of the ecology and evolution of microbial communities. After first outlining the history of technological development in this field, we will discuss key applications to date using diverse labels, including BONCAT, and then end with a selective (biased) view of areas where click-chemistry and BONCAT-based approaches stand to have a significant impact on our understanding of microbial communities.
Self-assembly and self-delivery of the pure nanodrug dihydroartemisinin for tumor therapy and mechanism analysis
Authors: Li Yawei , Zhang Wei , Shi Naiyuan , Li Wenqing , Bi Junxia , Feng Xianmin , Shi Nianqiu , Zhu Wenhe , Xie Zhigang
Published: January 2023

This work reveals the rationale of developing pure nanodrugs via the self-assembly of dihydroartemisinin for cancer therapy and the mechanism of action.
An AIEgen-based “turn-on” probe for sensing cancer cells and tiny tumors with high furin expression
Authors: Ji Shenglu , Li Songge , Gao Heqi , Wang Jiayang , Wang Kaiyuan , Nan Wenbin , Chen Hongli , Hao Yongwei
Published: January 2023

A biocompatible probe PGA-BFA is rationally designed and developed by a simple co-assembly of γ-PGA with BHQ3-RVRRGFF-AIE. PGA-BFA can help image high furin-expression cancer cells and tiny tumors in a fluorescence “turn-on” manner.
Crystallography at non-ambient conditions and physical properties of the synthesized double perovskites, Sr2(Co1−xFex)TeO6
Authors: Zaraq Asmaa , Orayech Brahim , Igartua Josu M. , El Bouari Abdeslam , Gregory Duncan H. , Gesing Thorsten M.
Published: January 2023

We report the synthesis of double perovskite oxides Sr2(Co1−xFex)TeO6 obtained by solid-state reaction. The changes in the crystal structures of the samples due to iron substitution were studied using XRD, Raman spectroscopy and 57Fe Mössbauer spectroscopy.
Self-supporting NiMo–Fe–P nanowire arrays as bifunctional catalysts for efficient overall water splitting
Authors: Zhou Xiangyang , Yang Tingting , Zi Youju , Li Ting , Yang Juan , Tang Jingjing
Published: January 2023

NiMo–Fe–P nanowire arrays with high electrochemical active surface area and ample active sites were designed by in situ ion exchange and low temperature phosphating, showing superb OER/HER activities and a lower cell voltage of water electrolysis.
Interfacial engineering and chemical reconstruction of Mo/Mo2C@CoO@NC heterostructure for promoting oxygen evolution reaction
Authors: Li Kai , Pan Sihui , Zhang Haiqi , Zhang Qingqing , Wan Detian , Zeng Xiaojun
Published: January 2023

Chemical reorganization and interfacial engineering in hybrid nanomaterials are promising strategies for enhancing electrocatalytic performance.
Binding of ankaflavin with bovine serum albumin (BSA) in the presence of carrageenan and protective effects of Monascus yellow pigments against oxidative damage to BSA after forming a complex with carrageenan
Authors: Wu Shufen , Wang Wenyu , Lu Jingwen , Deng Weili , Zhao Nan , Sun Yue , Liu Huanhuan , Li Zhenjing , Chen Mianhua , Cheng Lei , Guo Qingbin , Wang Changlu , Peng Xin
Published: January 2023

Insight into the interaction mechanisms within the complex of BSA–AK–Car with the aim of exploring the physiological properties of the delivery system of Mps constructed from BSA and Car.
Application of pre-adaptation strategies to improve the growth of probiotic lactobacilli under food-relevant stressful conditions
Authors: Bisson Giulia , Maifreni Michela , Innocente Nadia , Marino Marilena
Published: January 2023

Turbidimetry clearly evidences the effect of pre-adaptation on probiotics’ robustness against food-related challenging conditions.
Untargeted metabolomics reveals altered branch chain amino acids, glucose and fat metabolism contributing to coronary artery disease among Indian diabetic patients
Authors: Adela Ramu , Kasarla Siva Swapna , Saquib Najmuddin , Gupta Sonu Kumar , Bajpai Sneh , Kumar Yashwant , Banerjee Sanjay K
Published: January 2023

Untargeted metabolomics-based markers may predict the complexity of coronary artery disease in diabetic patients.
Inkjet-printed 3D micro-ring-electrode arrays for amperometric nanoparticle detection
Authors: Peng Hu , Grob Leroy , Weiß Lennart Jakob Konstantin , Hiendlmeier Lukas , Music Emir , Kopic Inola , F. Teshima Tetsuhiko , Rinklin Philipp , Wolfrum Bernhard
Published: January 2023

Three-dimensional ring electrode arrays can provide means for highly-parallelized nanoparticle-impact electrochemistry within bulk solution.
UV-Visible photo-reactivity of permanently polarized inorganic nanotubes coupled to gold nanoparticles
Authors: Patra Sabyasachi , Testard Fabienne , Gobeaux Frédéric , Sicard Lorette , Shaming Delphine , Caër Sophie Le , Thill Antoine
Published: January 2023

Janus aluminosilicate nanotube coupled with gold nanoparticles as hybrid photocatalytic nano-reactor that benefits from a synergy of polarization, charge separation, and confinement effects facilitating efficient H2 production.
Two-dimensional semiconducting Cu(i)/Sb(iii) bimetallic hybrid iodides with a double perovskite structure and photocurrent response
Authors: Li Qian-Wen , Bi Le-Yu , Lassoued Mohamed Saber , Luo Qian-Cheng , Yan Rong , Ding Xin-Kai , Gou Gao-Yang , Zheng Yan-Zhen
Published: January 2023

We report here two new semiconducting two-dimensional lead-free organic–inorganic compounds with an obvious photocurrent response.
An efficient cyclodepolymerization route for the chemical recycling of poly(ethylene adipate)
Authors: Li Hongjuan , Yan Xiangxiang , Huan Jie , Wang Sheng , Li Xiaohong , Wang Yatao , Tu Yingfeng , Li Zhiping
Published: January 2023

We present here a green cyclodepolymerization route for the chemical recycling of poly(ethylene adipate) to its cyclic oligomers based on ring–chain equilibria in solution.
Preparation of multi-functional type coordination compounds: spanning the quantitative restriction of oxidizing groups
Authors: Wang Tingwei , Lu Zujia , Yi Zhenxin , Kuang Baolong , Bu Shu , Xie Zhiming , Zhang Chao , Li Yan , Wang Kun , Zhang Jian-Guo
Published: January 2023

Cu(HAMPZCA)2(ClO4)4·2H2O (ECCs-1) has multi-functional structure of ionic salt and coordination compounds. And it also has the good advantages of decomposition rate, oxygen balance, mechanical stimulation and explosion performance.
Rapid construction of bicyclic triazoline skeletons with dual-state emissionviacycloaddition reaction of 4-phenyl-1,2,4-triazoline-3,5-dione with vinyl azides
Authors: Zheng Yuanqin , Zhou Yuqiao , Jiang Shichao , Xie Xinyu , Du Guangxi , Shen Xin , Zhao Xiaohu , Yu Zhipeng
Published: January 2023

Fluorescent bicyclic triazolines with excellent photophysical properties were easily and conveniently synthesized and showed intense deep-blue photoluminescence with quantum yields of up to 78% and 87% in solution and the solid state, respectively.
A facile synthesis of highly efficient In2S3 photocatalysts for the removal of cationic dyes with size-dependent photocatalysis
Authors: Zheng Chaofan , Wang Ziyao , Yuan Jialong , Xu Qingfeng , Li Haixin , Lu Xiaoyi , Gao Jiangang , Yue Wenjin
Published: January 2023

Different-sized thornball-like In2S3 were synthesized by environmentally-friendly method, which displayed excellent photodegradation of cationic dyes originating from their strong attraction.
An investigation on the adsorption and removal performance of a carboxymethylcellulose-based 4-aminophenazone@MWCNT nanocomposite against crystal violet and brilliant green dyes
Authors: Althomali Raed H. , Alamry Khalid A. , Hussein Mahmoud A. , Guedes R. M.
Published: January 2023

The adsorption and removal performance of CMC-based 4-aminophenazone and doped MWCNTs NC was investigated CV and BG dyes. The results demonstrate the excellent potential of A-PH-CMC/MWCNTs nanocomposites as a material for CV and BG dye removal.
Calorimetry of phase transitions in liquid crystal 8CB under shear flow
Authors: Yamamoto Taro , Nagae Yuki , Wakabayashi Tomonari , Kamiyama Tadashi , Suzuki Hal
Published: January 2023

A differential scanning calorimeter equipped with a shearing system was developed to elucidate the thermodynamic properties of liquid crystalline materials under shear flow, and the phase transitions of 8CB were investigated.
An effective modulation of bulk perovskite by V2CTx nanosheets for efficient planar perovskite solar cells
Authors: Tian Chen , Yan Yajie , Feng Shanglei , Wang Jiaou , Niu Yingchun , Li Xiaoxi , Ju Huanxin , Xu Quan , Huang Yang , Dong Hua , Liang Ziqi , Dong Bitao , Li Lina , Yang Yingguo
Published: January 2023

Crystallization modulation and defect passivation are key for high performance perovskite solar cells (PSCs) through suppressing defects in the surface and/or near the grain boundaries (GBs) of solution-processed perovskite films.
Dramatic acceleration by visible light and mechanism of AuPd@ZIF-8-catalyzed ammonia borane methanolysis for efficient hydrogen production
Authors: Kang Naixin , Shen Ruofan , Li Baojun , Fu Fangyu , Espuche Bruno , Moya Sergio , Salmon Lionel , Pozzo Jean-Luc , Astruc Didier
Published: January 2023

The novel nanomaterials AuxPdy@ZIF-8 catalyze H2-producing ammonia borane methanolysis; the reaction is considerably boosted by visible-light irradiation and ZIF-8 surpassing other supports. KIE studies and DFT calculations delineate the mechanism.
Carbon monoxide therapy: a promising strategy for cancer
Authors: Chai Jingjing , Zhu Junfei , Tian Yu , Yang Kui , Luan Jiajie , Wang Yan
Published: January 2023

The present review introduced systematically a promising strategy for cancer: carbon monoxide therapy, and provided some valuable guidance for promoting the progress of gas therapy nanomedicine.
Adipose tissue macrophages and their role in obesity-associated insulin resistance: an overview of the complex dynamics at play
Authors: Guria Suktara , Hoory Anupama , Das Snehasis , Chattopadhyay Dipanjan , Mukherjee Sutapa
Published: January 2023

Obesity, a major global health concern, is characterized by serious imbalance between energy intake and expenditure leading to excess accumulation of fat in adipose tissue (AT). A state of chronic low-grade AT inflammation is prevalent during obesity. The adipose tissue macrophages (ATM) with astounding heterogeneity and complex regulation play a decisive role in mediating obesity-induced insulin resistance. Adipose-derived macrophages were broadly classified as proinflammatory M1 and anti-inflammatory M2 subtypes but recent reports have proclaimed several novel and intermediate profiles, which are crucial in understanding the dynamics of macrophage phenotypes during development of obesity. Lipid-laden hypertrophic adipocytes release various chemotactic signals that aggravate macrophage infiltration into AT skewing toward mostly proinflammatory status. The ratio of M1-like to M2-like macrophages is increased substantially resulting in copious secretion of proinflammatory mediators such as TNFα, IL-6, IL-1β, MCP-1, fetuin-A (FetA), etc. further worsening insulin resistance. Several AT-derived factors could influence ATM content and activation. Apart from being detrimental, ATM exerts beneficial effects during obesity. Recent studies have highlighted the prime role of AT-resident macrophage subpopulations in not only effective clearance of excess fat and dying adipocytes but also in controlling vascular integrity, adipocyte secretions, and fibrosis within obese AT. The role of ATM subpopulations as friend or foe is determined by an intricate interplay of such factors arising within hyperlipidemic microenvironment of obese AT. The present review article highlights some of the key research advances in ATM function and regulation, and appreciates the complex dynamics of ATM in the pathophysiologic scenario of obesity-associated insulin resistance.
Prediction of centrifuge capillary pressure using machine learning techniques
Authors: Bursey Brandon Jeremy , Mohagheghian Erfan , Sripal Edison , James Lesley Anne
Published: January 2023

In current literature in the petroleum industry, machine learning has been used to predict capillary pressure only on the centrifugal data points and not the complete capillary pressure curves generated from existing correlations after analysis. This paper will present novel information that will benefit the petroleum industry as it shows machine learning techniques can be used to obtain the complete capillary pressure curve which is the end goal in undertaking an SCAL centrifuge experiment.

This research involves testing core samples using a centrifuge set up to produce capillary pressure data points. Then, using a commercial SCAL interpretation software, the collected data is utilized to generate complete capillary pressure curves based on developed literature correlations. RCAL data for the core samples is also obtained to be used with the machine learning techniques. The machine learning models are then applied to the collected data to predict the capillary pressure curves. Optimization of the different machine learning techniques is done to improve the predictions.

The results show the machine learning techniques perform very well on the validation set after being trained on the training set. The machine learning models also provide reasonable prediction of the complete capillary pressure curves on the testing data set. Changing of the machine learning technique parameters also shows the effect on the overall precision and the improvements that can be made. Further research can be done to see the effectiveness of using machine learning techniques to predict other SCAL properties such as relative permeability. This can then greatly reduce the time needed to obtain these extremely important properties for reservoir characterization.
Effect of fairness and overconfidence on pricing strategy of substitute bundles in a two-echelon supply chain
Authors: Ganguly Sanchari , Kuiti Mithu Rani , Das Pritha , Maiti Manoranjan
Published: January 2023

Cognitive biases – fairness and overconfidence, affect the decision-making process. The manufacturer/retailer prefers to sell the products as bundles in a duopoly market because it fetches more benefits to supply chain (SC) partners. Till now, none considered the pricing of substitute bundles, produced and sold at the manufacturer’s level. Considering these, the effects of the above cognitive behaviours on the bundling pricing strategy are investigated. We develop several SC models, depending on the partner’s cognitive biases, with two manufacturers, producing substitute bundles of two uncorrelated items and selling through a retailer. Using the Stackelberg game, prices and profits are evaluated. It is observed that overconfidence does not increase retailer’s and overconfident – manufacturer’s profits but is beneficial for another rational manufacturer. Against the retailer’s fairness concern, her profit is augmented, but both manufacturers’ profits are adversely affected. The combined effect of both cognitive biases is adjuvant for the retailer but maleficent for manufacturers. Managerial insights are presented.
Akzeptanz, Sicherheit und Hoffnung
Authors: Blumenrode Stefan
Published: January 2023

Suizidalität und Suizide sind ein bedeutsames, globales Gesundheitsproblem. Die Mehrzahl der Menschen, die an Suizid versterben, hat eine psychische Erkrankung. Daher gehört die Begleitung von Patienten mit Suizidalität zu den verantwortungsvollsten und schwierigsten Aufgaben psychiatrischer Arbeit. Der CNE Schwerpunkt gibt einen aktualisierten Überblick zu diesem komplexen Thema und zeigt Lösungsansätze auf.
Palladium-Mediated Reductive Heck Cyclization for the Synthesis of Fused Retinoid Derivatives
Authors: Chakravorty Santanu , Kundu Mrinalkanti , Roy Brindaban , Mitra Trisha , Joardar Soumen , Majumdar Manoj
Published: January 2023

Linearly fused retinoid derivatives have been synthesized via a straightforward pathway using a palladium-catalyzed reductive Heck cyclization strategy. The synthesis involved a four-step linear approach utilizing iodination, sulfonylation or benzylation or esterification, palladium-catalyzed Sonogashira cross-coupling and palladium-mediated reductive Heck cyclization.
Evidence-Based Medicine: Facial Reanimation
Authors: Kimura Kyle S. , Kfoury Peter , Pepper Jon-Paul
Published: January 2023

This article provides a brief historical overview of the assessment instruments that have been developed to categorize the severity of disease in patients with facial palsy. Important advances in the quality of these instruments are discussed. The modern-day instruments that are commonly required for evidence-based patient assessment are then presented, with emphasis on the level of evidence of the studies that describe these instruments.
Temporal Pattern of micro-CT Angiography Vascular Parameters and VEGF mRNA Expression in Fracture Healing: a Radiograph and Molecular Comparison
Authors: Nurrachman Aga Satria , Azhari Azhari , Epsilawati Lusi , Pramanik Farina
Published: January 2023

Angiogenesis plays an important role in fracture healing with vascular endothelial growth factor (VEGF) as the main protein involved. Micro-computed tomography (CT) angiography may be used to analyze this revascularization with several parameters such as number of branches, total volume, and diameter. This systematic review is aimed to assess available studies on the temporal pattern of vascular imaging on micro-CT angiographs, especially in terms of the number of branches, total volume, and diameter as well as the temporal pattern of VEGF mRNA expression as the molecular comparison during bone fracture healing. This review was conducted according to the PRISMA guidelines. Electronic database searches were performed using PubMed, ProQuest, ScienceDirect, EBSCOhost, Taylor & Francis Online, and hand searching. The search strategy and keywords were adjusted to each database using the Boolean operators and other available limit functions to identify most relevant articles based on our inclusion and exclusion criteria. Screening and filtration were done in several stages by removing the duplicates and analyzing each title, abstract, and full-text in all included entries. Data extraction was done for syntheses to summarize the temporal pattern of each parameter. A total of 28 articles were eligible and met all criteria, 11 articles were synthesized in its angiograph's analysis, 16 articles were synthesized in its VEGF mRNA expression analysis, and 1 article had both parameters analyzed. The overall temporal pattern of both three micro-CT angiographic parameters and VEGF mRNA expression was in line qualitatively. The number of branches, total volume, and diameter of the blood vessels in micro-CT angiography showed an exponential rise at week 2 and decline at week 3 of fracture healing, with the VEGF mRNA expression concurrently showing a consistent pattern in the phase.
Linear Accuracy of Intraoral Scanners for Full-Arch Impressions of Implant-Supported Prostheses: A Systematic Review and Meta-Analysis
Authors: Floriani Franciele , Lopes Guilherme Carpena , Cabrera Alexandre , Duarte Wagner , Zoidis Panagiotis , Oliveira Dayane , Rocha Mateus Garcia
Published: January 2023

This article compares the accuracy of intraoral scanners (IOSs) used in the digital impression of full arches to fabricate implant-supported complete prostheses. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and was registered in the Open Science Framework (DOI 10.17605/OSF.IO/CPM9K). Six electronic databases, gray literature databases, and a manual search were performed in April 2022. Studies that evaluated the accuracy of intraoral scan impressions compared with conventional impressions in full-arch impressions were included for complete implant-supported prostheses. In addition, an adapted checklist for reporting in vitro studies was used to assess the risk of bias. Meta-analysis was conducted using a random-effects Hunter– Schmidt model. Nine studies were included in the analysis. IOS impressions present higher accuracy (137.86 μm) than conventional impressions (182.51 μm) (p<0.001). The heterogeneity of the study's methodology was I2¼18.34. However, impression accuracy varies significantly with scan body type, IOS type, scanning strategy, and modification technique. For most IOS systems, the acceptable clinical threshold of linear accuracy of 200 μm can be achieved, except for the True Definition Scanner in one of the studies. Based on the results of the included studies, digital impressions using IOS present similar or better linear accuracy than conventional impression techniques.
Dear British politics—where is the race and racism?
Authors: Akram Sadiya
Published: January 2023

This article explores the neglect of race and racism in the discipline of British politics. I outline why this has happened, the consequences of such neglect and how it might be remedied. The article proceeds in four stages: First, it makes the case that British politics has neglected race and racism. I do this by showing that race does not feature within the core concerns of the discipline, and that despite the fact that race may be noted in the relationship between demography and representation, its status as a social construct is not addressed. Second, the article explores the question of disciplinary reflexivity. Drawing on Emirbayer and Desmond’s (2012) racial reflexivity framework, I delineate the disciplinary and scholastic unconscious of British politics, showing that the reliance on the Westminster Model obscures questions of race. Next, the article discusses the Sewell Report (2021), explicating its post-racism narrative, and draws parallels between the findings of the report and the study of British politics. The final section of the article outlines a framework for a British politics of race. The framework draws on critical race theory, and Britain’s imperial history of colonialism and empire-building and thus puts the study of race at the centre of the discipline.
Simultaneous inversion method of thermal barrier coating parameters based on electromagnetic/capacitive dual-module sensor
Authors: Wang Wei , Ren Yuan , Hu Jiafei , Chen Dixiang
Published: January 2023

Thermal barrier coating (TBC) of turbine blades can prevent aeroengine damage resulting from high temperature. TBC exhibits a multilayer complex structure of ceramic and bonding layers. The ceramic layer is dielectric, whereas the bonding layer is conductive. Disabling either layer can endanger aircraft safety. Changes in TBC parameters are indicative of failure. This study proposed a neural-network-based method to inverse the three key parameters of TBC simultaneously based on electromagnetic/capacitive dual-module sensor. Thus, this method can be used for monitoring the status of aeroengines. The experimental results revealed that the inversion error of thickness and permittivity of the ceramic layer and the conductivity of the bonding layer is less than 2%. Therefore, the proposed method can satisfy application requirements.
Phase-locked degenerate backward wave optical parametric oscillator
Authors: Mutter Patrick , Zukauskas Andrius , Viotti Anne-Lise , Canalias Carlota , Pasiskevicius Valdas
Published: January 2023

We report a self-phase-locked and degenerate backward wave optical parametric oscillator (BWOPO) generating a counterpropagating signal and an idler in the spectral band of optical communication. The device is based on a periodically poled Rb-doped KTiOPO4 crystal with a poling period of 433 nm. To the best of our knowledge, this is the shortest quasi-phase matching period reported in the bulk of a ferroelectric crystal. The spectral and coherence properties of the BWOPO at degeneracy are investigated. We observe a single pass conversion efficiency of 40%. At degeneracy, the counterpropagating signal and idler generate phase-matched sum-frequency generation in both directions. We confirm the phase-locked state at degeneracy by interfering the pump with the frequency-doubled backward wave. The phase-locked state is stable during the entire duration of the experiment without active stabilization.
Predicting the current and future suitable-habitat distribution of tropical adult and juvenile targeted fishes in multi-sector fisheries of central Queensland, Australia
Authors: Chamberlain Debbie A. , Possingham Hugh P. , Phinn Stuart R.
Published: January 2023

Context Coastal and estuarine finfish species are responding to human-induced climate change by altering their distributions. In tropical regions, the species mostly affected by warming have limited acclimation capacity or live close to their upper thermal limits. Consequently, coastal fish assemblages may dramatically contract in range, experience declining population abundance or local extinction. Aim Here we use two different predictive modelling techniques that cope with non-linear empirical relationships between responses and environmental predictors to investigate distribution change. Methods The habitat-suitability models we use are the maximum entropy model (MaxEnt) and the generalised additive model (GAM). We built the models for the period 2004–2019 with environmental data relevant to coastal systems. We incorporated climate change at current conditions, near future (2015–2054) and distant future (2055–2100) from CMIP6 climate models. Key results We identified bathymetry and sea-surface temperature to be key variables explaining the current and future distribution of coastal finfish and elasmobranchs of the Great Barrier Reef coast in central Queensland. Conclusions We showed how the distributions of valuable fisheries species will change under future warming conditions. Implications The objective is to inform fisheries management supporting the restructure of existing fisheries or the development of new resources for the dual purposes of conservation and food security.