Miracle-dz/UniFAR-FTUs huggingface dataset:
Mislocalisation of Pax7 and Its Interaction with Importin-α1 (KPNA2) in Dystrophin-Deficient Myoblasts

Background: Pax 7 is one of the key factors in the development of tissues and organs during embryogenesis. It has been suggested that Pax7 may play a major role during myogenesis. Our previous study has shown that Pax7 cell is attenuated in the mdx embryo during gestation as well as in dystrophic muscle indicating that an absence of dystrophin in muscle affects pax7 regulation in Duchene Muscular Dystrophy (DMD). Therefore, we aimed to investigate the Pax7 expression pattern as well as their specific transport protein in dystrophin-deficient myoblasts at postnatal/juvenile stage. Methods: In this study, dfd13 (dystrophin-deficient) and C2C12 (non-dystrophic) myoblasts were cultured under normal conditions prior to further analyse its expression pattern at proliferating stage via western blot and immunofluorescence analysis. Protein prediction and protein interaction study was done via in silico and co-immunoprecipitation analyses, respectively.Results: It was found that Pax7 localised in the cytoplasm of dystrophin-deficient myoblasts and high expression retained during differentiation. Co-localisation analysis of Pax7 with subcellular markers indicated that Pax7 is highly synthesised at their proliferative state. Interestingly, it is shown that Pax7 possess a nuclear location signal and KPNA2 was suggested as an escort protein for Pax7 translocation into the nucleus. Conclusion: For the first time, our study showed that Pax7 is mislocalised in dystrophin-deficient myoblasts and it is postulated that KPNA2 is the karyopherin-α which might be responsible for Pax7 translocation into the nucleus.
Naturally Occurring Rock Type Influences the Settlement of Fucus spiralis L. zygotes

The settlement of spores and larvae on hard substrates has been shown to be influenced by many factors, but few studies have evaluated how underlying bedrock may influence recruitment. The characteristics of coastal rock types such as color, heat capacity, mineral size, and free energy have all been implicated in settlement success. We examined the influence of naturally occurring rock types on the initial attachment of zygotes of the brown alga Fucus spiralis Linnaeus 1753. We also assessed the dislodgment of zygotes on four bedrock types after initial attachment in laboratory experiments using wave tanks. Settling plates were prepared from limestone, basalt, schist, and granite, found in the region of Orrs Island, Maine, USA. The plate surfaces tested were either naturally rough or smooth-cut surfaces. We measured the density of attached zygotes after 1.5 h of settlement and subsequently after a wave treatment, in both winter and summer. The pattern of initial attachment was the same on natural and smooth surfaces regardless of season: highest on limestone (range 7.0–13.4 zygotes/cm2), intermediate on schist (1.8–8.5 zygotes/cm2) and basalt (3.5–14.0 zygotes/cm2), and lowest on granite (0.8–7.8 zygotes/cm2). Patterns of survivorship following the wave treatment were similar to those of initial settlement with the mean survivorship varying from 60.1% (SE = 3.8) (limestone, smooth substrate) to 31.8% (SE = 0.59) (granite, natural substrate), and with the highest mean survival on limestone, basalt, and schist, and the lowest on granite. Our results suggest that rock type has a significant effect on zygote attachment and persistence. Patterns of attachment were the same on smooth and rough surfaces, indicating that surface roughness is not the predominant factor controlling the difference in successful attachment among rock types. Other properties of bedrock, possibly grain size, surface free energy, or chemical interaction with the adhesives used by the zygotes, directly affect the attachment of these algal propagules. These results suggest that patterns of benthic community structure could be determined in part by the distribution of bedrock types.
Prevalence of molecular subtypes of breast cancer: Experience in a tertiary care cancer centre in Sri Lanka

Breast cancer is the commonest cancer among females. Patient outcome and treatment options are largely influenced by its molecular subtypes. This study aims to evaluate molecular subtypes of breast cancers among patients treated at a tertiary cancer centre in Sri Lanka. Clinical and demographic data were collected retrospectively from electronic medical records available at the cancer institute, Maharagama, Sri Lanka. Histology reports of 200 patients who had undergone mastectomy or wide local excision during an 18-month period starting from January 2018 were analyzed. Patients' age, histological subtype of cancer, receptor status of estrogen receptor (ER) progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), Ki-67 index, and tumour grading were considered. The age range of the patients was 29 to 84 years (mean=57.7, SD=11.76). The 50-59 and 60-69 age groups represented the most patients (28% each). Females represented 99% (n=199) of the total while three patients had bilateral breast cancer. Histologically, invasive carcinoma of no special type (NST) was the commonest cancer type (n=178, 89%), with the majority being grade 2 cancers (52.5%) according to the Nottingham cancer grading (grade 1=15.1% and grade 3=32%). Luminal A was the most common (64%) molecular subtype, followed by basal-like (21%), HER2-enriched (11.5%), and luminal B (4.5%). Data on the Ki-67 index was available for only 98 patients, and 8.1% (8) of them had a Ki-67 index less than 10, while 22.5% (n=22) between 10 and 20. All others (69%) had a higher Ki-67 index (>20). There is a significant association between the molecular subtype of breast cancer and Nottingham grading (p Majority of Sri Lankan women with breast cancers present in the 5th and 6th decades of their lives. Luminal A molecular subtype was the predominant, followed by basal-like, HER2- enriched, and luminal B. Aggressive HER2- enriched and basal subtypes are more common in younger age groups. We recommend breast cancer subtyping before surgery so that more people will benefit from neoadjuvant chemotherapy.
Antecedents of Employees Work Engagement: A Study on an Ethiopian Universities in Case of Amhara Regional State

This study aimed to investigate the antecedents influencing employees’ engagement at universities in Amhar Reginal state Ethiopia. The study used descriptive and explanatory research designs. A total of 320 academics staffs were taken from ten Amhara Reginal State public Universities as a sample and 282 valid questionnaires collected. Convenience and snowball sampling were used to select the employees from each University. Also, cross sectional survey method applied to collect data via Likert scale questionnaire. Correlation and multiple regression modeling were used to appraisal association and predict the relationships. Initially, a pilot test was a sampled of 30 instructors to check data scale reliability. The study found that all the independent variables (work environment, leadership, reward, organizational support, work motivation) variables had statistically significant correlation with employees’ engagement. Morover the study founded that all the studied variables were predictors of workers engagement(R2= 0.662); but the predictors that had foremost influence were working environment, leadership and work motivation. Remarkable emphasis and devotion is required particularly on variables such as working environment, leadership and work motivation as they have reveled significantly greater influence on employees engagement. Universities shall focus on creating better work environment, working on instructors motivating factors and more work is required to improve the leadership to boost work engagement.
Learning With Memory For Few-Shot Semantic Segmentation

Despite great progress made in the few-shot semantic segmentation task, the existing works still suffer from problems of incompleteness and inconsistency of segmentation. In this paper, a novel attention-aided LSTM optimization network called LONet is proposed, which optimizes predictions without forgetting useful inner cues. Particularly, we calculate an attention map to align and match possible locations with query features to deal with incomplete segmentation. Then, an LSTM-based module is designed to overcome the segmentation inconsistency by memorizing and updating useful cues iteratively. Extensive experiments are conducted on two popular few-shot segmentation datasets including PASCAL-5i and FSS-1000. The experimental results on the FSS-1000 dataset demonstrate that our LONet exceeds the state-of-the-art results by 2.1% and 2.3%, respectively.
Activity of inhibit the cell cycle and induct apoptosis in HeLa cancer cell with combination of Sabrang onion (Eleutherine palmifolia (L.) Merr) and Starfruit Mistletoe (Macrosolen cochinchinensis (Lour.) Tiegh)

The combination of Eleutherine palmifolia (L.) Merr (EP) and Macrosolen cochinchinensis (Lour.) Tiegh (MC) extracts has been proven an empirically potential cure for cancer. The aims of this research were to prove scientifically the anticancer potential of the combination of EP and MC as well as its effects on the cell cycle and the apoptosis of HeLa cancer cell. The MTT method was used to measure cytotoxic effects. The effect of inhibition of cell cycle and induction of cell apoptosis was measured by the ﬂow cytometry method. The results showed that the combination of EP and MC gives an induction of apoptosis effect of HeLa cancer cell through inhibition of cell cycle in the G0-G1, S, and G2/M phases synergistically until it is synergist strong. Therefore, the combination of EP and MC can be recommended as a candidate drug for cancer therapy.
Toward temporally complex collaboration in an interorganizational research network

Prior research suggests interorganizational collaboration faces temporal challenges and also opportunities yet is scarce on the role of time enabling—more often deterring—collaboration for collective benefit. Our contribution is highlighting how a large industry–academic research network developed temporally complex collaboration through varying temporal rules and relationships. The three network-developed collaborative repertoires, with their particular temporal rules and relationships, complemented the externally imposed calendar repertoire: (1) sprint repertoire, following a familiar agile method for joint research, (2) narrative time repertoire, enabling sharing research results across various events at the program level, and (3) “right” time repertoire that turned research results into action in emerging business ecosystems. With these collaborative repertoires, both the temporal diversities of home organizations and the asynchronies of the network activities were resolved for collective benefit. We contribute to the intersection of the literatures on interorganizational network collaboration and temporality.
Different mechanisms of organic and inorganic phosphorus release from Mollisols induced by low molecular weight organic acids1

Abstract: Enhancement of inorganic phosphorus (Pi) release by low molecular weight organic acids (LMWOA) increases soil phosphorus (P) availability to plant, but the release of organic phosphorus (Po) and the associated kinetics of both Pi and Po release by LMWOA have not been well considered. The aim of this study was therefore to investigate the impacts of three common LMWOA (citric acid, oxalic acid, and malic acid) on the kinetic release of Pi and Po in a black clay soil in northeast China. All kinetic data were well described by the Elovich and power functions models (P < 0.01). The LMWOA at 10 mmol kg-1 soil increased the rate of the kinetic release of both Pi and Po. Organic phosphorus released by LMWOA derived from the soil-labile Po (NaHCO3-Po) fraction in the order of oxalic acid (3.58 mg kg-1) > citric acid (2.67 mg kg-1) > malic acid (1.76 mg kg-1). In contrast, Pi release by LMWOA resulted from mobilization of the moderately labile NaOH-Pi (Fe/Al-P) and HCl-Pi (Ca-Pi) fractions in the order of citric acid (4.83 mg kg-1) > oxalic acid (2.40 mg kg-1) > malic acid (2.04 mg kg-1). Therefore, the release of Po by LMWOA is mainly via the dissolution of soil-labile Po (NaHCO3-Po) rather than via chelation of organic acid ligands.
Brucella Prevalent Strains Circulating in Egypt during 2020-2021: Bacteriological and Molecular Study

Brucellosis is a major constraint to livestock production that still enzootic in livestock in many developing countries including Egypt. This study was conducted with the general objective of establishing the bacteriological status of bovine brucellosis in 15 governorates in Egypt during 2020-2021 to determine the circulating Brucella species on bacteriological and molecular basis. Clinical samples collected included milk or udder secretions, vaginal discharges, fetal membranes and stomach contents of aborted fetuses from dairy cows with history of brucellosis. In addition, lymph nodes (retropharyngeal, prescapular, prefemoral, internal iliac and supramammary) from carcasses of serologically positive animals were obtained from different localities for isolation and identification of Brucella organisms. A total of 136 Brucella isolates were recovered from cattle in different governorates, Egypt. These include, 107 isolates of Brucella melitensis biovar 3 identified on bacteriological and molecular basis from Aswan, Beheira, Beni Suef, Dakahlia, Damietta, Fayoum, Gharbia, Giza, Ismailia, Kafr El-Sheikh, Luxor, Monufia, Port Said, Qalyubia and Sharqia governorates. On the other hand, 29 Brucella abortus biovar 1 isolates were recovered from cattle from Beni Suef, Dakahlia, Damietta, Kafr El-Sheikh, Monufia, Port Said and Sharqia governorates. Molecular identification using primer sequences targeting IS711 gene confirmed Brucella on genus level. Multiplex PCR has amplified four fragments of 450bp, 587 bp, 1071 bp, and1682 bp characteristic for B. melitensis biovar 3, and three fragments of 450bp, 587 bp, and 1682 bp for B. abortus biovar 1. The identification of Brucella spp. in different farm animals of 15 Egyptian governorates highlights the dynamics and role of cattle in dissemination of Brucella infection all over the country. The obtained results indicate that the actual Brucellosis status during the years 2020 and 2021 refers to that B. melitensis biovar 3 and B. abortus biovar 1 are the prevalent types circulating in different Egyptian governorates.
Spatial spillover effects of crime on private investment at nearby micro-places

Criminal activity may influence the decisions of existing property owners or prospective investors to invest in a property, given the potential elevated expenses and increased uncertainty that often accompany crime. This study investigates the relationship between crime and private investment at nearby micro-places using location-specific crime incident and building permit data from 2008 to 2018 in the cities of Chicago, Los Angeles, New York, Philadelphia, San Antonio and Seattle. Data were aggregated to the blockface-level to examine how changes in investment on a blockface are influenced by changes in crime on that blockface and adjacent blockfaces in the subsequent year. Results indicate that an increase in total crime on a blockface was associated with a significant decrease in building permit activity the following year in all six cities, but the relationship is less strong when aggregating crime from adjacent blockfaces. When looking at spillover effects, higher crime on adjacent blockfaces was significantly associated with lower levels of investment beyond the effect of the crime trend on that blockface in Los Angeles and San Antonio. Though the relationship between adjacent blockface crime and investment was negative across the other four cities, it was not statistically significant. Taken together, these findings suggest that effective targeted crime prevention policies may have the added benefit of spurring local economic investment and that the impact of crime is very localised.
Modelling the Impact of Different COVID-19 Pandemic Waves on Real Estate Stock Returns and Their Volatility Using a GJR-GARCHX Approach: An International Perspective

This paper aims to investigate the impact of various COVID-19 pandemic waves on real estate stock returns and their volatility in developed (US, Australia), emerging (Turkey, Poland), and frontier (Morocco, Jordan) markets. A study using a GJR-GARCHX model revealed that the pandemic outbreak had a limited impact on real estate company stocks. The first pandemic wave only in the US caused a decline in stock returns. In turn, this was the case in Poland and Jordan during the second and third waves. Furthermore, in the aftermath of the pandemic development, an increase in the volatility of stock returns can be observed in the Polish financial market. However, this effect mainly applies to the period of the first disease wave.
A note on Hausdorff measures of self-similar sets in R^d

We prove that for all \(s\in(0,d)\) and \(c\in (0,1)\) there exists a self-similar set \(E\subset\mathbf{R}^d\) with Hausdorff dimension \(s\) such that \(\mathcal{H}^s(E)=c|E|^s\). This answers a question raised by Zhiying Wen [16].
The effects of customer consumption goals on artificial intelligence driven recommendation agents: evidence from Stitch Fix

Abstract The purpose of this study is to investigate the influence of consumer goals on artificial intelligence (AI) driven interactive recommendation agents (IRAs) and examine the effects of consumers’ consumption goals on their attitude toward IRAs and their perception of IRA value in the context of Stitch Fix. In this study, we also investigate the attitude toward IRAs and IRA value that influence the intention to use IRAs. AI powered recommendation agents have achieved noticeable outcomes in the contactless era by boosting revenues and customer value. On the Stitch Fix platform, an online personal styling service platform, AI-driven IRAs provide personalized recommendations to customers encompassing fashion styling and product design. In this study that considers the Stitch Fix context, a successful case of AI-driven IRAs, a survey was used to investigate key questions about the relationships among goals, IRA value, attitude, and intention to use AI-driven IRAs on the Stitch Fix platform. The participants were 321 AI-driven IRA users from South Korea recruited by a professional survey company. In conclusion, the study clarifies the relationship between personal hedonic goals and attitude and the value of IRAs, and the effects of these goals that ultimately influence the intention to use IRAs. The findings offer practical implications for IRAs that can be used to help consumers search and choose products. IRAs can be particularly helpful for engaging consumers with hedonic goals, stimulation, and comfort, especially consumers who seek comfort, as they are more likely to show a positive attitude and value IRAs, which could encourage behavior adherence. Advertising practitioners should target consumers who seek comfort to enhance personalized recommendation strategies via AI-driven IRAs. As IRAs proliferate in the advertising field, the findings offer implications that can enable advertisers and advertising academics and practitioners to better targeted audiences and enhance customer relationships.
Designing a developmental progression to assess students’ conceptual understandings by focusing on the language demands in Science

Few would argue the value of learning progressions in providing useful structures for selecting and sequencing in a developmental manner the key components of an ‘intended curriculum’. Yet, there are pervading issues around what is meant by a developmental sequence, along with how they are used to assess what learners know, understand and can do. One key oversight in Science is recognising the role of technical and non-technical language in student conceptual development. This article reports on the construction of a hypothesised learning progression that identifies students’ progress in understanding essential concepts in the Chemical Sciences from Foundation to Year 6. It is based upon an extensive analysis of the technical and non-technical language of the Australian Curriculum: Science. The progression was constructed by focusing upon learner-appropriate language and scientific understanding with the Structure of the Observed Learning Outcome model (Pegg, 2018) providing the theoretical basis for ensuring systematic and objective rigour in the resultant developmental progression.
Computed tomography-guided lung biopsy for molecular tests: a meta-analysis

Introduction Computed tomography (CT)-guided lung biopsy has been widely used for molecular testing. Aim To evaluate the potential clinical effectiveness of computed tomography (CT)-guided lung biopsy in molecular tests. Material and methods We searched the related studies from the PubMed, Embase, and Cochrane Library until July 2021. The endpoints included adequacy rates for molecular tests, positive rates of epidermal growth factor receptor (EGFR) mutations, anaplastic lymphoma kinase (ALK) translocation, and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations. Results Initially, we were able to identify 1783 potentially relevant studies, among which only 12 were ultimately included in the present meta-analysis. All the studies were retrospective in nature. A total of 2559 patients underwent CT-guided lung biopsy and 1414 of them received molecular testing. We found that the pooled adequacy rate for molecular tests, positive rate of EGFR mutations, and positive rate of ALK translocation were 95%, 49%, and 7%, respectively. Significant heterogeneity was detected in the endpoints of adequacy rate for molecular tests (I2 = 86.2%) and positive rate of EGFR mutations (I2 = 77.7%). We did not identify any variables that could significantly influence the adequacy rate for molecular tests and positive rate of EGFR mutations. A high risk of publication bias was also found in the endpoint of adequacy rate for molecular tests. Conclusions CT-guided lung biopsy can serve as an effective method to provide sufficient lung cancer samples for molecular testing. The EGFR gene was found to be the most frequently mutated during the analysis.
Beneficial effects of Aspergillus-derived protease preparations on colonic luminal environment

Aspergillus is a fungal genus contains more than 200 species found in various ecological niches. Some species belong to this fungus are invasive pathogens which can cause serious diseases in human and animals. However, several Aspergillus species have been widely used in traditional fermentation foods and pharmaceuticals due to their enzymes-producing abilities. Particularly, Aspergillus oryzae (A. oryzae) is widely used for the large-scale production of traditional food products, including soy sauce, sake, miso, rice vinegars, and huangjiu. Due to the vital roles of A. oryzae in Japanese food culture, A. oryzae has been proposed as the national microorganism in Japan. The catalytic abilities of A. oryzae-secreted enzymes may help to increase biological and functional characters of various foodstuffs. In order to know whether dietary of these enzymes exert potentially beneficial effects on health in mammals, here, I investigated the effects of Aspergillus-derived protease preparations on the colonic luminal environment in rats.