bluuebunny/crossref_metadata_2025_split huggingface dataset:
Histone deacetylase inhibitor induces acetyl-CoA depletion leading to lethal metabolic stress in RAS-pathway activated cells
Authors: Basseville Agnes , Violet Pierre-Christian , Safari Maryam , Sourbier Carole , Linehan W. Marston , Robey Robert W. , Levine Mark , Sackett Dan L. , Bates Susan E. 
Published: February 2022

AbstractRAS-mutant cancers are among the most refractory to treatment. Apart from new G12C genotype targeted therapies, strategies to kill RAS-mutant cells by directly targeting RAS or its downstream effectors have been mostly unsuccessful, mainly due to pathway redundancy and heterogeneities in RAS-induced phenotypes. Here we identified a RAS-phenotype that can be targeted by the histone deacetylase inhibitor (HDACi) romidepsin. We showed that the hyperacetylation induced by romidepsin depleted acetyl-CoA, the cell donor substrate for acetylation, and led to metabolic stress and death in KRAS-activated cells. Elastic net analysis on transcriptomics from a 608-cell panel confirmed that HDACi sensitivity was linked to a difference in profiles in two pathways involved in acetyl-CoA metabolism. The analysis of a clinical dataset confirmed that perturbation of the two acetyl-CoA pathways were correlated with HDACi sensitivity in patients treated with belinostat. Our analysis suggests the potential utility of a RAS-associated acetyl-CoA phenotype to sharpen treatment choices for RAS-activated tumors.
Short-term cooling load prediction for office buildings based on feature selection scheme and stacking ensemble model
Authors: Gao Wenzhong , Huang Xingzong , Lin Mengya , Jia Jing , Tian Zhen 
Published: February 2022

PurposeThe purpose of this paper is to target on designing a short-term load prediction framework that can accurately predict the cooling load of office buildings.Design/methodology/approachA feature selection scheme and stacking ensemble model to fulfill cooling load prediction task was proposed. Firstly, the abnormal data were identified by the data density estimation algorithm. Secondly, the crucial input features were clarified from three aspects (i.e. historical load information, time information and meteorological information). Thirdly, the stacking ensemble model combined long short-term memory network and light gradient boosting machine was utilized to predict the cooling load. Finally, the proposed framework performances by predicting cooling load of office buildings were verified with indicators.FindingsThe identified input features can improve the prediction performance. The prediction accuracy of the proposed model is preferable to the existing ones. The stacking ensemble model is robust to weather forecasting errors.Originality/valueThe stacking ensemble model was used to fulfill cooling load prediction task which can overcome the shortcomings of deep learning models. The input features of the model, which are less focused on in most studies, are taken as an important step in this paper.
Optimal commodity taxation – a new computational procedure with application to India
Authors: Majumder Amita , Ray Ranjan , Santra Sattwik 
Published: February 2022

Purpose
This paper aims to illustrate the usefulness of the proposed procedure to evaluate the Goods and Services Tax (GST) in India by applying it to provide evidence on optimal commodity tax rates.

Design/methodology/approach
In the optimal commodity tax literature, the commonly used Ramsey–Samuelson–Diamond–Mirrlees framework assumes invariance of budget allocation between pre- and posttax regimes and uses only the first-order conditions in the two-stage optimization procedure. This paper proposes an iterative method that overcomes the above limitations in obtaining the optimal tax rates.

Findings
It is found that the optimal commodity taxes are highly sensitive to the procedure used to estimate them. The resulting tax rates turn out to be close to the GST tax slabs. The results also show that on both absolute and relative measures, for all the selected states considered here and for All-India, the optimal tax systems are progressive for two chosen values of the inequality aversion parameter.

Originality/value
There is a very limited literature on the computational methodology to calculate optimal commodity taxes, and consequently, the evidence is quite scarce as well. In combining contributions to the computation of optimal taxes with empirical evidence, this paper fills a significant gap in the literature. The context of India gives it added value since the GST has recently been introduced in India, and to the best of the authors’ knowledge, this is one of the first attempts at evaluating the Indian GST through the spectacles of optimal taxes.
Exploring customer engagement value from relationship benefits
Authors: Tourchian Alireza , Aali Samad , Sanoubar Naser , Bafandeh Zendeh Alireza 
Published: February 2022

Purpose
“Relationship benefits” (RBs) is an approach in relationship marketing. The concept highlights that both customer and firm must receive benefits from the relationship to establish and maintain it. This study aims to identify the impacts of three types of RBs on creating four kinds of customer engagement value (CEVs).

Design/methodology/approach
This study synthesizes previous findings and proposes hypotheses with theoretical supports and reports results from a structural equation model that uses data gathered from 577 Iranian customers across a range of services- based on an extensive review of marketing literature related to RBs.

Findings
Confidence benefits are the strongest driver of customer lifetime value and customer influence value, while special treatment benefits are the strongest driver of customer knowledge value (CKV) and customer referral value. Social benefits only affect CKV.

Research limitations/implications
Future research should examine the role of other types of RBs in creating CEV, beyond the original three types of RBs.

Originality/value
There is no research addressing the impact of delivering RBs on CEV. This study combines RBs and CEV into a single model and demonstrates the roles of different types of RBs in creating CEV for service firms.
Assessing behavioral intention toward green hotels during COVID-19 pandemic: the moderating role of environmental concern
Authors: Dwivedi Rajiv Kumar , Pandey Manoj , Vashisht Anil , Pandey Devendra Kumar , Kumar Dharmendra 
Published: February 2022

PurposeThe study aims to investigate the consumers' behavioral intention toward green hotels. The tendency of individuals to afford green hotels is further escalating with progressing coronavirus disease-2019 (COVID-19) pandemic recurring waves. The increased worry of consumers toward health, hygiene and the climate is acquiring momentum and transforming how consumers traditionally perceive green hotels.Design/methodology/approachThe study has recommended an integrated framework incorporating various research fields as attitude-behavior-context theory, theory of planned behavior (TPB) and moderating influences to study the associations among the antecedents of consumers' behavioral intention toward green hotels. The study comprised the participation of 536 respondents residing in the Delhi and National Capital Region (NCR) of India. The data analysis strategy involved the use of structural equation modeling (SEM) analysis to test the proposed research framework.FindingsThe results and findings of the study indicated a significant influence of fear and uncertainty of the COVID-19 pandemic and environmental concern on green trust. The results also revealed the considerable impact of green trust on willingness to pay premium, attitude and subjective norms, which significantly influenced behavioral intention. The analysis also revealed the moderating influence of environmental concern in the relationship of green trust and behavioral intention.Research limitations/implicationsThe study has recommended significant theoretical. The theorists may use this research framework to analyze better the transforming consumer behavior trends toward green hotels in the ongoing fearful and uncertain COVID-19 pandemic scenario.Practical implicationsThe study has recommended significant managerial implications. The industry practitioners may also utilize the framework to sustain the hotel business and bring new strategic insights into practice to combat the impact of the pandemic and simultaneously win consumers' trust in green hotels.Originality/valueAlthough the researchers have previously emphasized consumers' intention toward green practices embraced by hotels, the impact of the COVID-19 pandemic on the green hotel industry gained noticeable attention from researchers. Furthermore, there is a scarcity of literature providing insights on the behavioral dynamism of hotel customers' trust, attitude and willingness to pay for green hotels during the repetitive waves of the COVID-19 pandemic. The study will support the existing literature gap by enlightening the associations among the various antecedents of green hotels' behavioral intention, COVID-19 and environmental concern.
Analysis of pectolytic enzymes and Alternaria spp. in fresh dill, mustard seeds, onions, and vinegar, and their influence on the softening of pickled cucumbers
Authors: Scharf Sabrina , Kersten Anne‐Katrin , Lentzsch Peter , Meurer Peter 
Published: February 2022

AbstractProteolytic enzymes or fungi have long been identified as causing softening of pickled cucumbers. As the softening of cucumbers occurs mainly in the pasteurized state, this study considers the hypothesis that vinegar and the added spices could be responsible for this softening by studying polygalacturonase (endo‐/exo‐PG), pectinesterase (PE), and pectin lyase, as well as Alternaria spp. found in the spices. Because of the high endo‐PG activity found in dill, this spice emerged as a possible factor causing spoilage. Compared to dill, the enzyme activity in mustard seeds is eight times lower, and only low levels of enzymes or Alternaria spp. are present in onions or vinegar. Different harvest times and the associated degree of freshness of dill also played a crucial role regarding the endo‐PG activity of up to 25.11 U/g (30°C, mature and very woody dill in late July) but of less than 9.00 U/g in fresh and soft green dill harvested in late June. A temperature of 80°C, held for 3 min, reduced the enzyme activity to less than 1.0 U/g. A final examination of cucumbers with a fixed quantity of mustard seeds, vinegar, and onions but with different variants of dill showed that the quantity of dill and the other ingredients added to the jars is not a potential factor leading to cucumber softening, which conflicts with the hypothesis of cucumber spoilage by vinegar and spices.Practical ApplicationThis work provides insights into the activity of various pectolytic enzymes and the load of Alternaria spp. in different ingredients used for pickle production. Based on these data and additional pasteurization experiments, this paper evaluates the influence of dill, onions, mustard seeds, and vinegar on cucumber softening.
Behavioral characterization of withdrawal following chronic voluntary ethanol consumption via intermittent two‐bottle choice points to different susceptibility categories
Authors: Quijano Cardé Natalia A. , De Biasi Mariella 
Published: February 2022

AbstractBackgroundAlcohol is among the most commonly abused drugs worldwide. Cessation of chronic alcohol consumption can result in the appearance of withdrawal symptoms that commonly promote relapse in individuals with alcohol use disorder (AUD). Thus, preclinical models of voluntary alcohol consumption, in which animals manifest spontaneous signs of withdrawal after alcohol cessation, can be useful for studying AUD and its treatment. The intermittent two‐bottle choice paradigm (I2BC) has been used extensively to examine alcohol intake in rodents. However, previous studies have reported conflicting observations regarding its potential to result in the spontaneous manifestation of withdrawal upon alcohol cessation.MethodsWe employed a battery of behavioral tests to examine the emergence of affective and physical signs of withdrawal in female and male mice exposed to alcohol in the I2BC for 10 weeks. Specifically, mice of both sexes undergoing 24‐h withdrawal from the I2BC were tested for physical signs of withdrawal, anxiety‐like behavior in the open field arena (OFA) and elevated plus maze (EPM), and anxiety/compulsive‐like behavior in the marble burying test (MBT). The main outcomes from these tests were combined into a behavioral severity score to describe the overall behavioral phenotype.ResultsBoth female and male mice undergoing withdrawal from the I2BC displayed elevated physical signs of withdrawal and anxiety‐associated behavior in the EPM and MBT. Analysis of the overall behavioral severity score revealed more severe phenotypes in female and male mice undergoing withdrawal from the I2BC than controls. Additionally, stratification of the mice based on severity scores demonstrated a differential distribution of severities between the exposure groups.ConclusionsWe confirmed that a significant fraction of mice chronically exposed to alcohol in the I2BC display spontaneous withdrawal. In addition, we showed that computing a severity score from a combination of behavioral metrics can be useful in preclinical research to model evaluation tools used in patients with AUD.
The impact of tax enforcement on corporate investment efficiency: evidence from the tax administration information system
Authors: Zhang Liguang , Chen Wanyi , Peng Liao 
Published: February 2022

AbstractInformation technology is essential in tax enforcement. This study found that stronger tax enforcement after the tax administration information system reform improved corporate investment efficiency by reducing excessive investment expenditures. The effect is more significant under higher local government fiscal pressure, poorer external information environments, weaker external corporate governance, and stronger tax avoidance motivation. The main mechanism is based on the quality of the accounting information. This study enriches the literature on the economic consequences of tax enforcement and adds investment efficiency as an influential factor, which provides implications for international governments to use information technology to strengthen tax enforcement.
Affective and cognitive theory of mind in posttraumatic stress, major depressive, and somatic symptom disorders: Association with childhood trauma
Authors: Seitz Katja I. , Ehler Nicola , Schmitz Marius , Schmitz Sara E. , Dziobek Isabel , Herpertz Sabine C. , Bertsch Katja 
Published: February 2022

ObjectivesChildhood trauma constitutes a major risk factor for adult psychopathology, including posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and somatic symptom disorder (SSD). One potential mechanism linking childhood trauma to adult psychopathology may be alterations in theory of mind (ToM). Given the lack of transdiagnostic studies on the association between childhood trauma and ToM, further research is needed to elucidate whether and how childhood trauma relates to ToM impairments across and within diagnostic boundaries.DesignA cross‐sectional study design was applied.MethodsA total of 137 individuals with varying levels of childhood trauma took part in this study, encompassing individuals with PTSD (n = 33), MDD (n = 33), SSD (n = 36), and healthy volunteers (HVs; n = 35). To assess ToM performance and childhood trauma, the Movie for the Assessment of Social Cognition was administered along with the Childhood Trauma Questionnaire.ResultsOnly individuals with PTSD, but not individuals with MDD or SSD, showed a worse ToM performance compared to HVs. In the whole sample, childhood trauma correlated negatively with ToM performance. Exploratory group‐specific analyses revealed higher levels of childhood trauma to be associated with more excessive ToM errors in individuals with SSD, and notably with an enhanced ToM performance in individuals with MDD.ConclusionsOur results indicate associations between childhood trauma and ToM impairments in a large, transdiagnostic sample. Provided replication in future studies, our findings suggest ToM capacities as a promising treatment target for individuals exposed to severe childhood trauma, at least or particularly with a diagnosis of PTSD.Practitioner points

Our results suggest that individuals with a history of severe childhood trauma, at least or particularly with a clinical diagnosis of posttraumatic stress disorder, may benefit from therapeutic approaches targeting theory of mind capacities.

Our findings indicate that higher levels of childhood trauma may be linked to a specific ‘hypermentalizing’ bias in somatic symptom disorder.

Our findings further point towards an association between higher levels of childhood trauma and a heightened – rather than a diminished – sensitivity towards interpersonal cues in major depressive disorder.

Provided further confirmatory evidence, our findings may support diagnosis‐specific approaches in ameliorating theory of mind abilities in individuals with different mental disorders and a history of severe childhood trauma.
The presence of mast cells in lichen planopilaris and discoid lupus erythematosus of the scalp: A quantitative study
Authors: Shahidi‐Dadras Mohammad , Asadi Kani Zahra , Dadkhahfar Sahar , Zartab Hamed , Rakhshan Azadeh 
Published: February 2022

AbstractBackgroundHistopathologic differentiation of lichen planopilaris (LPP) and discoid lupus erythematosus (DLE) as two common causes of primary cicatricial alopecias remains challenging.MethodWe performed a histopathologic study on a case series of LPP and DLE specimens to investigate the number, distribution, and morphology of mast cells as indices for differentiation of these two entities. H&E investigation and Giemsa staining for the detection of mast cells was performed.ResultA total of 74 cases comprising 50 cases of LPP and 24 cases of DLE were assessed. The mean mast cell count and percentage were significantly higher in LPP group (p < 0.001). Mean degranulated mast cell count and the mean intact mast cell count were also significantly higher in LPP patients (p < 0.001). Most of the specimens, 58 (78.4%), showed both perifollicular and perivascular distribution of mast cells without significant difference between two groups. The morphology of mast cells was predominantly round‐oval in 85.5%, predominantly fusiform in 13.5% with more frequent fusiform morphology in DLE group.ConclusionThe mast cell count detected by Giemsa staining could assist pathologists in distinguishing between LPP and DLE.
Social recovery in substance use disorder: A metasynthesis of qualitative studies
Authors: Vigdal Mariann Iren , Moltu Christian , Bjornestad Jone , Selseng Lillian Bruland 
Published: February 2022

AbstractIssuesIn substance use disorder, connection to social communities plays a significant role in the recovery process. The aim here has been to identify and synthesise the qualitative research examining the process of social recovery from a first‐person perspective and how social communities assist in this process.ApproachMetasynthesis using the following databases: CINAHL, Embase, MEDLINE, PsycINFO, Scopus, SocIndex and Web of Science. The search returned 6913 original articles, of which 18 met the following criteria: examining the experience of social recovery from a first‐person perspective and how social communities support this process, age of 18+, recovery of at least 12 months, in an English‐language peer‐reviewed journal. Review protocol registration: PROSPERO (CRD42020190159).Key FindingsThe persons in recovery emphasised communities that they perceived as being safe and non‐stigmatising. These are qualities that contributed to positive self‐change, and these communities were perceived as suitable arenas in which to confront responsibility and trust. Additionally, participants found that their relationship skills were improving due to the new social bonds forged in these communities. A sense of citizenship was gained along with a regaining of social dignity through voluntary work and giving back to society.ImplicationsThe pivotal role of the social community identified in this review underscores the importance of recognising and supporting persons in recovery's needs when connecting with such communitiesConclusionWe propose a four‐stage model to guide research into social recovery from a first‐person perspective and how social communities support this process.
Supervised machine learning algorithm identified KRT20, BATF and TP63 as biologically relevant biomarkers for bladder biopsy specimens from interstitial cystitis/bladder pain syndrome patients
Authors: Kamasako Tomohiko , Kaga Kanya , Inoue Ken‐ichi , Hariyama Masanori , Yamanishi Tomonori 
Published: February 2022

ObjectivesThis study was carried out to identify biomarkers that distinguish Hunner‐type interstitial cystitis from non‐Hunner‐type interstitial cystitis patients.MethodsTotal ribonucleic acid was purified from 212 punch biopsy specimens of 89 individuals who were diagnosed as interstitial cystitis/bladder pain syndrome. To examine the expression profile of patients’ bladder specimens, 68 urothelial master transcription factors and nine known markers (E‐cadherin, cytokeratins, uroplakins and sonic hedgehog) were selected. To classify the biopsy samples, principal component analysis was carried out. A decision tree algorithm was adopted to identify critical determinants, in which 102 and 116 bladder specimens were used for learning and validation, respectively.ResultsPrincipal component analysis segregated tissues from Hunner‐type and non‐Hunner‐type interstitial cystitis specimens in principal component axes 2 and 4. Principal components 2 and 4 contained urothelial stem/progenitor transcription factors and cytokeratins, respectively. A decision tree identified KRT20, BATF and TP63 to classify non‐Hunner‐type and Hunner‐type interstitial cystitis specimens. KRT20 was lower in tissues from Hunner‐type compared with non‐Hunner‐type interstitial cystitis specimens (P < 0.001). TP63 was lower in Hunner’s lesions compared with adjacent mucosa from Hunner‐type interstitial cystitis patients (P < 0.001). Blinded validation using additional biopsy specimens verified that the decision tree showed fairly precise concordance with cystoscopic diagnosis.ConclusionKRT20, BATF and TP63 were identified as biologically relevant biomarkers to classify tissues from interstitial cystitis/bladder pain syndrome specimens. The biologically explainable determinants could contribute to defining the elusive interstitial cystitis/bladder pain syndrome pathogenesis.