bluuebunny/crossref_metadata_2025_split huggingface dataset:
Are family female directors catalysts of innovation in family small and medium enterprises?
Authors: Bauweraerts Jonathan , Rondi Emanuela , Rovelli Paola , De Massis Alfredo , Sciascia Salvatore 
Published: February 2022

AbstractResearch SummaryWhile family small and medium enterprises (SMEs) increasingly involve women in their boards, the role of female directors as catalysts of innovation is yet to be fully understood. Drawing on upper echelons theory, we examine directors' gender in conjunction with family affiliation to investigate the influence of family female directors on family SMEs' innovation. Moreover, by analyzing the contingent role of socioemotional wealth preferences, we open the black box of noneconomic aspects shaping the cognition and behavior of boards. Our analysis of a unique survey‐based sample of 287 Belgian family SMEs reveals that family female directors do exert a positive influence on R&D intensity. However, according to the mixed gamble logic, this influence is filtered by the positive and negative moderation of their socioemotional wealth preferences.Managerial SummaryWe examine the role that women who are members of the family owning a business play in the decision making of SMEs. Specifically, we investigate the influence that the involvement of family female directors in the board of family SMEs exerts on innovation decisions. To empirically address this line of inquiry, we conducted a survey on 287 Belgian family SMEs. Our analysis shows that the involvement of family female directors in the board fosters family SME's innovation investments. Yet, such an influence is weakened by the intention of the family to retain control over the business but is enhanced by the identification of family members with the firm and by the desire to renew family bonds through dynastic succession. Therefore, our study cautions family SMEs' owners and managers to pay attention to these important dimensions of diversity when appointing directors to their board.
Corilagin induces apoptosis and inhibits HMBG1/PI3K/AKT signaling pathways in a rat model of gastric carcinogenesis induced by methylnitronitrosoguanidine
Authors: Zhang Li , Jia Bingxin , Velu Periyannan , Wu Hong 
Published: February 2022

AbstractGastric cancer, invasive cancer of the gastrointestinal tract, found in developing countries. Chemotherapy to patients with advanced gastric cancer, exhibits greater drug resistance to standard chemotherapy drugs. Therefore, important to establish anti‐cancer drugs that are successful for cancer therapy. Corilagin is a natural ellagitannin (ET) with profound pharmacological properties has been used for the study to assess its anticancer effects against N‐methyl‐N'‐nitro‐N‐nitrosoguanidine (MNNG) stimulated gastric cancer rats. Biochemical studies showed Thiobarbituric acid reactive substances (TBARS) and enzymatic and non‐enzymatic antioxidants increased in corilagin treated animals compared with controls. Histopathologic evaluation revealed corilagin treated rats showed cell morphology similar that control showing its ameliorating effects. In corillagen treament mRNA protein expression levels of HIF‐1α, AKT, PI3K, CT4, CD147 and HMGB1 were drastically lowered transcription factors triggering gastric cancer. In Western blot analysis showed released higher apoptotic marker of caspase‐3, ‐9, Bax while Bcl‐2 levels were significantly reduced confirming that corilagin triggers apoptosis in gastric cancer.
Analyzing the roles of some species of arthropods in the transmission of the Middle East respiratory syndrome coronavirus
Authors: Hemida Maged Gomaa , Al‐Sabi Mohammad , Alhammadi Mohammed , Almathen Faisal , Alnaeem Abdelmohsen 
Published: February 2022

AbstractBackgroundThe Middle East Respiratory Syndrome coronavirus (MERS‐CoV) is still listed on the WHO Research and Development Blueprint of emerging pathogens. Dromedary camels remain the only known animal reservoir of the virus. The animal‐to‐animal as well as the animal‐to‐human transmission in the MERS‐CoV cycles were reported. However, many aspects of these transmission chains are not well studied. One of these directions is the potential roles of various species of arthropods in the transmission of the virus.ObjectivesThe main goal of the current work was to study the roles of several species of arthropods in the transmission of MERS‐CoV.MethodologyTo achieve this goal, we identified some MERS‐CoV naturally infected dromedary camel populations. We conducted a longitudinal study among these animals for more than 2 months. This was done by repeated testing of nasal swabs biweekly from some selected animals in this population for the presence of MERS‐CoV‐RNAs by real‐time PCR. During the duration of this study, we collected several species of arthropods (Culicoides, Stomoxys, Musca domestica and some Culex species) that shared the habitat and were circulating in this farm during this longitudinal study.ResultsOur results showing, despite the detection of the viral RNAs in some animals throughout this study, none of the examined species of arthropods tested positive for the viral RNA.ConclusionsThese results are suggesting that at least the tested species of arthropods may not play roles in the transmission of MERS‐CoV. However, more large‐scale studies are required to explore any potential roles of arthropods in the transmission cycle of MERS‐CoV.
Measuring Memory for Treatment Using Patient Conceptualizations of Clinical Vignettes: A Pilot Psychometric Study in the Context of Cognitive Therapy for Depression
Authors: Zieve Garret G. , Armstrong Courtney C. , Richardson Ian M. , Garcia Sydney B. , Harvey Allison G. 
Published: February 2022

AbstractBackgroundPatient memory for psychological treatment contents is a promising transdiagnostic mechanism of change, but there is little consensus concerning its measurement. We conducted a pilot psychometric investigation of the Conceptualization Task, a novel measure of patient memory for treatment.MethodsData were from a trial comparing cognitive therapy-as-usual to cognitive therapy plus the Memory Support Intervention (MSI) for adults with depression (N = 171). For the Conceptualization Task, patients read clinical vignettes and provided written responses to assess three facets of conceptualization: identifying contributing factors to psychopathology, making intervention recommendations, and providing a rationale for recommendations. Higher scores were given to responses reflecting accurate memory for the theoretical model and change strategies used in treatment.ResultsThe Conceptualization Task showed excellent inter-rater reliability and sensitivity to change during treatment, but only fair test–retest reliability and insufficient internal consistency. Findings supported discriminant validity with measures of education, IQ, and general memory functioning, but not convergent validity with existing measures of patient memory for treatment. Criterion validity analyses showed that some aspects of the Conceptualization Task were associated with therapist use of memory support strategies from the MSI and treatment outcome. However, findings were mixed, effect sizes were small, and some results did not remain statistically significant after correcting for multiple comparisons.ConclusionsFurther refinement and testing is needed before the Conceptualization Task may be used to assess the patient memory for treatment contents.
Data envelopment analysis efficiency in the public sector using provider and customer opinion: An application to the Spanish health system
Authors: Tapia Jesús A. , Salvador Bonifacio 
Published: February 2022

AbstractMeasuring the relative efficiency of a finite fixed set of service-producing units (hospitals, state services, libraries, banks,...) is an important purpose of Data Envelopment Analysis (DEA). We illustrate an innovative way to measure this efficiency using stochastic indexes of the quality from these services. The indexes obtained from the opinion-satisfaction of the customers are estimators, from the statistical view point, of the quality of the service received (outputs); while, the quality of the offered service is estimated with opinion-satisfaction indexes of service providers (inputs). The estimation of these indicators is only possible by asking a customer and provider sample, in each service, through surveys. The technical efficiency score, obtained using the classic DEA models and estimated quality indicators, is an estimator of the unknown population efficiency that would be obtained if in each one of the services, interviews from all their customers and all their providers were available. With the object of achieving the best precision in the estimate, we propose results to determine the sample size of customers and providers needed so that with their answers can achieve a fixed accuracy in the estimation of the population efficiency of these service-producing units through the use of a novel one bootstrap confidence interval. Using this bootstrap methodology and quality opinion indexes obtained from two surveys, one of doctors and another of patients, we analyze the efficiency in the health care system of Spain.
Anxiety and Worries of Individuals with Down Syndrome During the COVID-19 Pandemic: A Comparative Study in the UK
Authors: Sideropoulos V. , Kye H. , Dukes D. , Samson A. C. , Palikara O. , Van Herwegen J. 
Published: February 2022

AbstractThe present study explored the effects of the pandemic on individuals with Down Syndrome (DS; n = 67) compared to other groups with Special Education Needs and Disabilities (SEND; n = 48) and their Typically Developing Siblings (TDS; n = 56). In total, 115 caregivers reported on their own anxiety and worries and of their children. Anxiety levels for individuals with DS appeared to be lower compared to other SEND populations and to TDS. In terms of worries, individuals with DS worried more about social-related worries but worried less about family-related aspects compared to the other groups. In sum, individuals with DS might show less anxiety but still worried more about specific aspects related to the impact of COVID-19 pandemic on their lives.
A Posthumous Contribution by Larry Wos: Excerpts from an Unpublished Column
Authors: Tourret Sophie , Weidenbach Christoph 
Published: February 2022

AbstractShortly before Larry Wos passed away, he sent a manuscript for discussion to Sophie Tourret, the editor of the AAR newsletter. We present excerpts from this final manuscript, put it in its historic context and explain its relevance for today’s research in automated reasoning.
Two heads are better than one: current landscape of integrating QSP and machine learning
Authors: Zhang Tongli , Androulakis Ioannis P. , Bonate Peter , Cheng Limei , Helikar Tomáš , Parikh Jaimit , Rackauckas Christopher , Subramanian Kalyanasundaram , Cho Carolyn R. ,   on behalf of the Working Group, Androulakis Ioannis P. , Bonate Peter , Borisov Ivan , Broderick Gordon , Cheng Limei , Damian Valeriu , Dariolli Rafael , Demin Oleg , Ellinwood Nicholas , Fey Dirk , Gulati Abhishek , Helikar Tomas , Jordie Eric , Musante Cynthia , Parikh Jaimit , Rackauckas Christopher , Saez-Rodriguez Julio , Sobie Eric , Subramanian Kalyanasundaram , Cho Carolyn R. 
Published: February 2022

AbstractQuantitative systems pharmacology (QSP) modeling is applied to address essential questions in drug development, such as the mechanism of action of a therapeutic agent and the progression of disease. Meanwhile, machine learning (ML) approaches also contribute to answering these questions via the analysis of multi-layer ‘omics’ data such as gene expression, proteomics, metabolomics, and high-throughput imaging. Furthermore, ML approaches can also be applied to aspects of QSP modeling. Both approaches are powerful tools and there is considerable interest in integrating QSP modeling and ML. So far, a few successful implementations have been carried out from which we have learned about how each approach can overcome unique limitations of the other. The QSP + ML working group of the International Society of Pharmacometrics QSP Special Interest Group was convened in September, 2019 to identify and begin realizing new opportunities in QSP and ML integration. The working group, which comprises 21 members representing 18 academic and industry organizations, has identified four categories of current research activity which will be described herein together with case studies of applications to drug development decision making. The working group also concluded that the integration of QSP and ML is still in its early stages of moving from evaluating available technical tools to building case studies. This paper reports on this fast-moving field and serves as a foundation for future codification of best practices.
Mechanisms and histopathological impacts of acetamiprid and azoxystrobin in male rats
Authors: EL-Hak Heba Nageh Gad , Al-Eisa Rasha A. , Ryad Lamia , Halawa Ekramy , El-Shenawy Nahla S. 
Published: February 2022

AbstractAcetamiprid (neonicotinoid insecticide) and azoxystrobin (fungicide) are widespread pesticides used for pest management, but they have the potential for toxicity to mammals. The goal of this study was to look for oxidative stress, metabolic alterations, and reproductive problems in male rats’ serum after 2 months of exposure to sub-lethal dosages of acetamiprid and azoxystrobin. Seven classes of male rats were formed: control, 3 groups of acetamiprid (1/10, 1/20, 1/40 LD50), and 3 groups of azoxystrobin (1/10, 1/20, 1/40 LD50) and were orally daily treated (n = 8/group). Our findings revealed that acetamiprid and azoxystrobin disrupted oxidative and metabolic processes in the examined rats throughout 30 and 60 days of testing. The levels of nitric oxide increased significantly, while catalase, a superoxide dismutase enzyme, and glutathione reductase activity were reduced. Serum levels of sex hormones, calcium, and total protein have all dropped substantially in rats. In comparison to the control group, the testis and liver structure, as well as spermatozoa parameters, had distinct histological characteristics. In conclusion, acetamiprid and azoxystrobin exhibit dose- and time-dependent effects on oxidative parameters that cause testis damage.
Iron Oxide Nanoparticles in Mesenchymal Stem Cell Detection and Therapy
Authors: Mehta Kosha J. 
Published: February 2022

AbstractMesenchymal stem cells (MSCs) exhibit regenerative and reparative properties. However, most MSC-related studies remain to be translated for regular clinical usage, partly due to challenges in pre-transplantation cell labelling and post-transplantation cell tracking. Amidst this, there are growing concerns over the toxicity of commonly used gadolinium-based contrast agents that mediate in-vivo cell detection via MRI. This urges to search for equally effective but less toxic alternatives that would facilitate and enhance MSC detection post-administration and provide therapeutic benefits in-vivo. MSCs labelled with iron oxide nanoparticles (IONPs) have shown promising results in-vitro and in-vivo. Thus, it would be useful to revisit these studies before inventing new labelling approaches. Aiming to inform regenerative medicine and augment clinical applications of IONP-labelled MSCs, this review collates and critically evaluates the utility of IONPs in enhancing MSC detection and therapeutics. It explains the rationale, principle, and advantages of labelling MSCs with IONPs, and describes IONP-induced intracellular alterations and consequent cellular manifestations. By exemplifying clinical pathologies, it examines contextual in-vitro, animal, and clinical studies that used IONP-labelled bone marrow-, umbilical cord-, adipose tissue- and dental pulp-derived MSCs. It compiles and discusses studies involving MSC-labelling of IONPs in combinations with carbohydrates (Venofer, ferumoxytol, dextran, glucosamine), non-carbohydrate polymers [poly(L-lysine), poly(lactide-co-glycolide), poly(L-lactide), polydopamine], elements (ruthenium, selenium, gold, zinc), compounds/stains (silica, polyethylene glycol, fluorophore, rhodamine B, DAPI, Prussian blue), DNA, Fibroblast growth Factor-2 and the drug doxorubicin. Furthermore, IONP-labelling of MSC exosomes is reviewed. Also, limitations of IONP-labelling are addressed and methods of tackling those challenges are suggested.
Graphical Abstract
Hippocampus and its involvement in Alzheimer’s disease: a review
Authors: Rao Y. Lakshmisha , Ganaraja B. , Murlimanju B. V. , Joy Teresa , Krishnamurthy Ashwin , Agrawal Amit 
Published: February 2022

AbstractHippocampus is the significant component of the limbic lobe, which is further subdivided into the dentate gyrus and parts of Cornu Ammonis. It is the crucial region for learning and memory; its sub-regions aid in the generation of episodic memory. However, the hippocampus is one of the brain areas affected by Alzheimer’s (AD). In the early stages of AD, the hippocampus shows rapid loss of its tissue, which is associated with the functional disconnection with other parts of the brain. In the progression of AD, atrophy of medial temporal and hippocampal regions are the structural markers in magnetic resonance imaging (MRI). Lack of sirtuin (SIRT) expression in the hippocampal neurons will impair cognitive function, including recent memory and spatial learning. Proliferation, differentiation, and migrations are the steps involved in adult neurogenesis. The microglia in the hippocampal region are more immunologically active than the other regions of the brain. Intrinsic factors like hormones, glia, and vascular nourishment are instrumental in the neural stem cell (NSC) functions by maintaining the brain’s microenvironment. Along with the intrinsic factors, many extrinsic factors like dietary intake and physical activity may also influence the NSCs. Hence, pro-neurogenic lifestyle could delay neurodegeneration.
Zero-valent iron supported-lemon derived biochar for ultra-fast adsorption of methylene blue
Authors: Abd El-Monaem Eman M. , Omer Ahmed M. , El-Subruiti Gehan M. , Mohy-Eldin Mohamed S. , Eltaweil Abdelazeem S. 
Published: February 2022

Abstract
Green-based materials represent a new promising class of ecofriendly and economic adsorbents. Herein, nano zero-valent iron supported-lemon derived biochar (NZVI-LBC) was prepared for the first time and examined in the adsorptive removal of methylene blue as a model pollutant. Different characterization tools were used to ensure the successful fabrication of the NZVI-LBC composite including FTIR, XRD, TEM, XPS, VSM, BET, and zeta potential analysis. It was found that the fabricated NZVI–supported biochar composite attained the propitious adsorbent criteria since it provided a supreme efficient adsorption process at short time. The reckoned maximum adsorption capacity of MB onto NZVI-LBC reached 1959.94 mg/g within merely 5 min. The obtained data clarified that the adsorption process of MB onto NZVI-LBC fitted pseudo 2nd order kinetic model and Freundlich isotherm model. Besides, the adsorption process of MB onto NZVI-LBC was found to be endothermic in nature. In addition, NZVI-LBC composite revealed an excellent adsorption behavior even after seven cycles. The concrete results reflect the potentiality of NZVI-LBC composite to be a superb candidate to remove cationic pollutants from their aqueous solutions.
Graphical abstract
Isolation, identification, and statistical optimization of a psychrotolerant Mucor racemosus for sustainable lipid production
Authors: Hashem Amr H. , Abu-Elreesh Gadallah , El-Sheikh Hussein H. , Suleiman Waleed B. 
Published: February 2022

Abstract
Lipid accumulating fungi are promising tools as alternative lipid source with different applications. In this study, seven oleaginous fungal strains were isolated from dung samples from the Egyptian ecosystem which later investigated for lipid accumulation, and Mucor racemosus AH1 represented the highest one. Statistical optimization of M. racemosus AH1 for lipid production was carried out using Taguchi design. Accordingly, dry biomass, total lipids, and lipid content were 3.72 gL−1, 1.21 gL−1, and 32.4%, respectively. Fatty acid profile of the produced lipids at different temperatures from 5 to 35 °C was investigated using gas chromatography mass spectroscopy GC–MS. Results revealed that the best temperature range for unsaturated fatty acids production particularly polyunsaturated fatty acids (PUFAs) was between 10 and 20 °C in which unsaturated fatty acids (USFAs) were higher than saturated fatty acids (SFAs); 54.47% and 43.67%, respectively. In conclusion, a promising lipid accumulating and cold-adapted M. racemosus MG547571 are considered as hopeful source of USFAs particularly oleic and linoleic acids which can be recruited for pharmaceutical applications, additionally, the high lipid yield could be exploited for biodiesel production.
Unmasking Antenatal Tuberous Sclerosis and 13 Years Retrospective Review of Its Diverse Presentations, Clinical-Imaging Follow Up and Learning the Latest Advances in Management
Authors: Chaudhuri Maitri , Tomar Munesh , Gaonkar Seema , Shankar BalaSubramanyam , Shenoi Arvind 
Published: February 2022

AbstractA 27 year old multigravida, presented with giant left ventricular cardiac rhabdomyoma at the 23rd gestational week. A previous bad obstetric history prompted amniocentesis. A heterozygous, pathogenic, missense variant in exon 40 of the Tuberous Sclerosis (TSC 2) gene with autosomal dominant inheritance was extracted from fetal DNA by targeted gene capture. Sanger’s sequencing confirmed the same. This fetus highlighted the need for genetic assessment in every cardiac rhabdomyoma and a paradigm shift in fetal counseling protocol. We retrospectively reviewed our personal, multi-centric 13 years (2008–2020) database of cardiac rhabdomyomas in the fetal and pediatric cohort. Cardiac rhabdomyoma preceded extra-cardiac manifestations of Tuberous Sclerosis in 87.5% of our cohort. This article underscores this forgotten ominous association. We propose a paradigm shift in fetal counseling in such a scenario, remembering the heterogeneous timing and presentations of this widely variable genetic lesion.