Miracle-dz/UniFAR-FTUs huggingface dataset:
Resource: Scalable whole genome sequencing of 40,000 single cells identifies stochastic aneuploidies, genome replication states and clonal repertoires

Essential features of cancer tissue cellular heterogeneity such as negatively selected genome topologies, sub-clonal mutation patterns and genome replication states can only effectively be studied by sequencing single-cell genomes at scale and high fidelity. Using an amplification-free single-cell genome sequencing approach implemented on commodity hardware (DLP+) coupled with a cloud-based computational platform, we define a resource of 40,000 single-cell genomes characterized by their genome states, across a wide range of tissue types and conditions. We show that shallow sequencing across thousands of genomes permits reconstruction of clonal genomes to single nucleotide resolution through aggregation analysis of cells sharing higher order genome structure. From large-scale population analysis over thousands of cells, we identify rare cells exhibiting mitotic mis-segregation of whole chromosomes. We observe that tissue derived scWGS libraries exhibit lower rates of whole chromosome anueploidy than cell lines, and loss of p53 results in a shift in event type, but not overall prevalence in breast epithelium. Finally, we demonstrate that the replication states of genomes can be identified, allowing the number and proportion of replicating cells, as well as the chromosomal pattern of replication to be unambiguously identified in single-cell genome sequencing experiments. The combined annotated resource and approach provide a re-implementable large scale platform for studying lineages and tissue heterogeneity.
Pro-Labor Institutions and Corporate Employment Efficiency

We examine how labor-friendly institutional features (i.e., laborism) relate to corporate investment efficiency in labor in a sample of firms from 33 countries over 1996–2012. We consider three dimensions of laborism—the presence of a left-leaning government, rigidity of employee protection laws, and collectivist culture. Our evidence shows that firms operating in stronger laborism countries make less efficient labor investment decisions, which is consistent with higher labor adjustment costs associated with laborism.
Reproduction and growth in a Neotropical arboreal mouse: Oecomys rutilus (Sigmodontinae: Cricetidae) in French Guiana

Abstract: Postnatal growth and development of the small Neotropical mouse Oecomys rutilus (Sigmodontinae: Cricetidae) were investigated from birth to day 143, in the laboratory. Morphometric measurements at age of 3 days, of both sexes combined, revealed body weight to be 3.4 ± 0.3 g, mean tail length as 27.4 ± 1.1 mm, and mean hind foot length as 9.3 ± 0.7 mm. Body weight was found to increase steadily until at least 69 days, whereas the instantaneous growth rates of other measurements declined earlier: the daily growth of hind foot length declined to a minimum at age of 24 days, and the growth of tail and of ear declined by the age of 33 days. Average litter size for 12 captive births was 2.5, ranging from 2 to 3. The preserved eye crystalline lens was weighted in 23 captive-born animals of known age, allowing a rough estimate of the age of reproduction in wild-caught animals. Based on the inferred relation between eye-lens weight and age, the youngest reproductive (pregnant) wild-caught females had an estimated age of 90 and 95 days.
Urban Ecosystem Services (UES) Assessment within a 3D Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples, Italy

The complexity of the urban spatial configuration, which affects human wellbeing and landscape functioning, necessitates data acquisition and three-dimensional (3D) visualisation to support effective decision-making processes. One of the main challenges in sustainability research is to conceive spatial models adapting to changes in scale and recalibrate the related indicators, depending on scale and data availability. From this perspective, the inclusion of the third dimension in the Urban Ecosystem Services (UES) identification and assessment can enhance the detail in which urban structure–function relationships can be studied. Moreover, improving the modelling and visualisation of 3D UES indicators can aid decision-makers in localising, analysing, assessing, and managing urban development strategies. The main goal of the proposed framework is concerned with evaluating, planning, and monitoring UES within a 3D virtual environment, in order to improve the visualisation of spatial relationships among services and to support site-specific planning choices.
Characterizing Learners’ Engagement in MOOCs: An Observational Case Study Using the NoteMyProgress Tool for Supporting Self-Regulation

Recent research shows that learners who are able to self-regulate their learning show greater levels of engagement with massive open online course (MOOC) content. To improve support for learners in their self-regulatory processes, researchers have proposed technological solutions to transform recorded MOOC data into actionable knowledge. However, studies providing empirical evidence on how these solutions impact learners’ engagement with the course and their self-regulatory behavior remain scarce. In this article, we present the results of an observational case study in which NoteMyProgress (NMP), a web-based tool designed to support learners’ self-regulation in MOOCs, is applied as an intervention in two MOOCs. The main aim of this article is to provide insights into how the support of learners’ self-regulated learning (SRL) strategies correlates with course engagement. We performed the evaluation using a sample of 263 learners and utilized distinct data sources in order to propose indicators for learners’ engagement with the course and NMP. Results show a positive correlation between learners’ final grades with NMP functionalities that support goal setting, organization (note taking), and self-reflection (social comparison) SRL strategies. Furthermore, we found no significant behavioral differences in how learners with low SRL and high SRL profiles engage with the course or NMP. Finally, we discuss how these results relate to prior work and the implications for future technological solutions that seek to promote engagement in MOOCs.
Combining ability studies for grain yield and its component traits in cowpea (Vigna unguiculata (L.) Walp)

Combining ability analysis was carried out in cowpea for yield and its component traits through Line × Tester design involving 24 hybrids by crossing 10 parents (6 lines and 4 testers). Analysis of variance revealed that non-additive gene action was prevalent for all the traits studied since the magnitude of SCA variances were higher than GCA variances and less magnitude of GCA:SCA ratio further confirmed it. Among the lines, VBN 1 had significant gca values for seven traits viz., days to 50% flowering, plant height, number of pods per plant, pod length, hundred seed weight, protein content and single plant yield and VBN 2 was the best general combiner for five traits like number of pods per plant, number of seeds per pod, hundred seed weight, protein content and single plant yield. The tester VCP-09-019 was regarded as the best general combiner among the testers for the traits such as plant height, pod length and single plant yield. The cross VBN 1 × VCP-09-013 which showed significant sca for six traits viz., days to 50% flowering, plant height, number of pods per plant, number of seeds per pod, protein content and single plant yield followed by the hybrid CO 6 × VCP-09-024 was showing best specific combining ability for five traits viz., plant height, number of pods per plant, pod length, hundred seed weight and single plant yield.
Magneto-optical properties of nanocomposites (Co41Fe39B20)х(SiO2)100−х

Magneto-optics properties of (Co41Fe39B20)x(SiO2)100−x alloys were studied applying both experimental spectral ellipsometry and quantum mechanical theory (incl. molecular calculus) approaches. Magneto-optics (MO) properties of the alloys were derived from the measured parameters of reflected elliptically polarized light. The experimental data were explained applying selection rules for the magnetic quantum number. Theoretical approach based on electron gas in a metal with angular momentum coupled to magnetic field demonstrated applicability of the magnetic quantum number and Hund’s rule for ascertaining the MO alloys properties. In this modeling, the magneto-optics properties of ferromagnetic alloys can be explained being based on derivations for the magnetic quantum number selection rules. Hund’s rule directly influences the dielectric tensor off-diagonal elements signs. The nonrelativistic Schrödinger equation for the Co2Fe2B alloy was numerically solved taking into account spins of Co and Fe atoms as well as orbital moments of wave functions in order to check the theoretical approach. As a result, the MO dispersion curves can be theoretically evaluated using the modified Spicer ratio that includes density of states functions with specific azimuthal and spin quantum numbers.
Therapeutic potential of growth differentiation factors in the treatment of degenerative disc diseases

Intervertebral disc (IVD) degeneration is a major contributing factor to chronic low back pain and disability, leading to imbalance between anabolic and catabolic processes, altered extracellular matrix composition, loss of tissue hydration, inflammation, and impaired mechanical functionality. Current treatments aim to manage symptoms rather than treat underlying pathology. Therefore, IVD degeneration is a target for regenerative medicine strategies. Research has focused on understanding the molecular process of degeneration and the identification of various factors that may have the ability to halt and even reverse the degenerative process. One such family of growth factors, the growth differentiation factor (GDF) family, have shown particular promise for disc regeneration in in vitro and in vivo models of IVD degeneration. This review outlines our current understanding of IVD degeneration, and in this context, aims to discuss recent advancements in the use of GDF family members as anabolic factors for disc regeneration. An increasing body of evidence indicates that GDF family members are central to IVD homeostatic processes and are able to upregulate healthy nucleus pulposus cell marker genes in degenerative cells, induce mesenchymal stem cells to differentiate into nucleus pulposus cells and even act as chemotactic signals mobilizing resident cell populations during disc injury repair. The understanding of GDF signaling and its interplay with inflammatory and catabolic processes may be critical for the future development of effective IVD regeneration therapies.
The measurement of the optical absorption cross section of photosystem 1 and photosystem 2 from whole live cells of porphyridium cruentum, in light state 1 and light state 2

7 ACKNOWLEDGEMENTS . 8 INTRODUCTION. 9 BACKGROUND AND LITERATURE SURVEY . 14 EXCITATION, WHAT, WHERE AND HOW MUCH . 1 4 Fluorescence . 1 7 ELECTRON TRANSPORT SySTEM . 1 9 Photosystem 2 and the water splitting complex . 2 0 Physical characteristics . 2 0 The function of PS2 and the water splitting complex . 2 0 The reaction core . 22 Heterogeneity of QA. 2 5 Sequence of events at PS2 . 2 5 Cyt b559 and cyclic electron transfer around PS2 . 2 6 The regulatory cap. 2 7 The Plastoquinone pool. 2 7 Cytochrome b/6f complex . 28 Photosystem1 . 29 P700 . •. •. ". 30 The primary acceptor AO. 3 0 A1 . 30 FX, FB and FA . 3 0 Protein partners . 3 1 ANTENNNAE . 3 4 PS1 . 34 PS2 •. •. ••. •. •••. ••••. ••. ••. •. 34 PHYCOBILISOMES . 36 The ultrastructure of Porphyridium cruentum . 3 6 CompOSition . 3 7 Morphology and structure . 38 Contact with PS2. 3 9 Contact with PS1 . 41 STATE TRANSiTIONS . 4 2 OPTICAL CROSS-SECTION . 47 Measurement of PS1 X-section . 50 Measurement of PS2 X-section . 50 Previous measurement of X-section of PS1, PS2 in state1, state2 . 51
Examining guanxi as an environmental-dependency-coping strategy in China: A 3PL provider’s perspective

ABSTRACT As firms seek to meet sophisticated customer needs, they typically become more dependent on outside partners. Therefore, managing environmental dependence has become a key competency for business success. This observation is particularly true for third party logistics (3PL) providers in China, as most of these providers are lacking in resources. Drawing on resource dependence theory, this study examines whether and when guanxi – a prevalent relationship management approach in China – is necessary for 3PL providers as a strategic option to manage environmental dependence. Based on survey data collected from 132 3PL providers in China, the empirical results show that it is necessary for 3PL providers in China to develop and rely on guanxi to successfully cope with environmental uncertainty and dependence. However, the necessity of using guanxi to deal with these challenges differs between business relationships. The necessity of relying on guanxi to deal with environmental uncertainty is alleviated by the presence of formal, customised legal contracts and by the frequency of contact in 3PL relationships. However, the need of using guanxi to cope with dependence tends to increase with the duration of each relationship. The managerial and theoretical implications of these findings are discussed.
Factors Affecting Earning Response Coefficient With Profitability as Moderating Variable in Manufacturing Companies

The purpose of this study was to obtain empirical evidence about the effect of Corporate Social Responsibility (CSR) Disclosure, Profitability, Leverage, and Sales Growth on Earning Response Coefficient (ERC) among manufacturing companies that listed on Indonesia Stock Exchange (IDX) during the years of 2015-2017. This study used purposive sampling method to collect data consisting of 52 companies listed on IDX during the period. Data was obtained from the annual report and financial statements which had been audited and ended on December 31, 2015-2017. The results of this study showed that (1) CSR disclosure had positive and significant effect on ERC, (2) Profitability, Sales Growth, Earning Persistence, Firm Size and Leverage had no significant effect on ERC, and (3) Profitability strengthened the effect of Corporate Social Responsibility Disclosure, Sales Growth, Earning Persistence, Firm Size and Leverage on Earning Response Coefficient.
Predictive Relationships Among Smartphone Addiction, Fear of Missing Out and Interaction Anxiousness

The aim of this study is to reveal the predictive relationships among smartphone addiction, fear of missing out (FOMO) and interaction anxiousness in university students. The study group of the research consists of 610 university students, 325 (53.3%) females and 285 (46.7%) males that were studying in Konya Turkey. In order to collect the data scales of Smartphone Addiction, Fearing Missing Developments in Social Environments and Interaction Anxiousness were used. The data were analyzed according to the "Structural Equation Model" via the AMOS program. According to the findings, the fear of missing out affects smartphone addiction significantly. Fearing of missing developments in social environments significantly affects interaction anxiousness and the interaction anxiousness meaningfully affects smartphone addiction.
The public funding of innovation in agri-food businesses

Public administrations have in recent years developed programs of public funding for innovation to boost the competitiveness of business. The study of how companies have used these funding sources generates knowledge to improve the design of support for private innovation and to provide advice for innovative companies. This paper investigates these issues in the agri-food sector which is of particular interest as it is comprised mainly of small and medium enterprises with a wide regional presence and interaction with their local environment. A survey on technological innovation was used to estimate panel logit models with random effects, taking as dependent variables three types of funding: regional, state and European Union. The results generally show a positive relationship between innovation efforts and access to public funding, but also significant differences between types of funding and between sectors. Food companies that obtain public funding tend to have a more innovative profile than Agriculture ones. Both types of firm present higher probabilities than others companies when it comes to gaining access to regional funding, though the opposite often occurs in the case of state funding. Firm size is not significant for regional funding and no overlap was detected between regional and state funding. The financial crisis has adversely affected regional and national aid, which experienced a significant decrease in the period from 2008 to 2013.
Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies

Genomic prediction of complex traits, say yield, benefits from including information on correlated component traits. Statistical criteria to decide which yield components to consider in the prediction model include the heritability of the component traits and their genetic correlation with yield. Not all component traits are easy to measure. Therefore, it may be attractive to include proxies to yield components, where these proxies are measured in (high-throughput) phenotyping platforms during the growing season. Using the Agricultural Production Systems Simulator (APSIM)-wheat cropping systems model, we simulated phenotypes for a wheat diversity panel segregating for a set of physiological parameters regulating phenology, biomass partitioning, and the ability to capture environmental resources. The distribution of the additive quantitative trait locus effects regulating the APSIM physiological parameters approximated the same distribution of quantitative trait locus effects on real phenotypic data for yield and heading date. We use the crop growth model APSIM-wheat to simulate phenotypes in three Australian environments with contrasting water deficit patterns. The APSIM output contained the dynamics of biomass and canopy cover, plus yield at the end of the growing season. Each water deficit pattern triggered different adaptive mechanisms and the impact of component traits differed between drought scenarios. We evaluated multiple phenotyping schedules by adding plot and measurement error to the dynamics of biomass and canopy cover. We used these trait dynamics to fit parametric models and P-splines to extract parameters with a larger heritability than the phenotypes at individual time points. We used those parameters in multi-trait prediction models for final yield. The combined use of crop growth models and multi-trait genomic prediction models provides a procedure to assess the efficiency of phenotyping strategies and compare methods to model trait dynamics. It also allows us to quantify the impact of yield components on yield prediction accuracy even in different environment types. In scenarios with mild or no water stress, yield prediction accuracy benefitted from including biomass and green canopy cover parameters. The advantage of the multi-trait model was smaller for the early-drought scenario, due to the reduced correlation between the secondary and the target trait. Therefore, multi-trait genomic prediction models for yield require scenario-specific correlated traits.
THE CORRELATION OF CARAPACE WIDTH – BODY WEIGHT, CONDITION FACTOR, AND ABUNDANCE OF SCYLLA SERRATA FORSSKÅL, 1775 IN EMBANKMENT LANE SILVOFISHERY DEVELOPMENT AREA OF MAROS DISTRICT

The research aims to find out the correlation of carapace width – weight, condition factor and abundance of mangrove crab based on observation time and sex in the coastal waters of Maros district, South Sulawesi. This research provides information on the pattern of growth and chubbiness of mangrove crabs and its abundance in the coastal area of Maros district, South Sulawesi. The study was conducted from early February until the end of April 2019. Sampling was conducted on the coastal area of Kuri Lompo and estuary of Maros which is an integrated mangrove pond development (silvofishery). 213 mangrove crabs (120 male and 93 female) obtained from fishermen were measured. The coefficient b of male and female mangrove crabs in February and March were 3.3626 and 2.6674, respectively. In April, b value of male and female mangrove crab was 3.5965 and 2.6506, respectively. This relation shows the growth type for males is allometric-positive whereas for females is allometric-negative. In April also saw the same growth coefficient in the previous month allometric positive for males and allometric negative for females. In general, the condition factor of male mangrove crabs in February and March is greater than female mangrove crabs. While, in April the condition factor of female mangrove crab is greater than male mangrove crab. The nature of condition factor of mangrove crab represents the distribution of crab abundance in the embankment lane silvofishery development area of 0.015 ind. /m.
Hydroxychloroquine pre-exposure prophylaxis for COVID-19 among healthcare workers: Initial experience from India

Background: Hydroxychloroquine (HCQ) had generated considerable interest for coronavirus disease 2019 (COVID-19) prophylaxis. We conducted a prospective observational study at a tertiary care hospital in India, with dedicated COVID-19 care facilities. Objectives: Primary objective was incidence of adverse effects, secondary objective being efficacy in preventing COVID-19. Methods: Healthcare workers were recruited and grouped based on voluntary HCQ prophylaxis as per national guidelines. Side effects in HCQ group were graded in accordance with national cancer institute-common terminology criteria for adverse events (NCI-CTCAE) version 5.0. At 3–7-week follow-up, groups were compared for COVID-19 exposure, symptoms development and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RT-PCR results. Results: Among 358 participants recruited, 216 (60.3%) were males and mean age was 31.2 ± 6.6 years. Chemoprophylaxis was initiated by 258 (72%) participants. After loading dose, 7 (2.7%) reported grade 2 and 1 (0.4%) grade 3 adverse effects. Discontinuation of HCQ due to side effects was reported in 11 (4.3%) participants. Electrocardiogram was done by 50 (19.4%) participants on HCQ; no abnormalities were noted. A total of 106 (41%) among those taking and 63 (63%) among those not taking HCQ were tested for SARS-CoV-2 due to influenza-like illness or significant exposure. Among all participants, 25 (6.9%, 95% confidence interval [CI] 4.3–9.6) developed COVID-19 during the study period. In the group taking HCQ, 10 (3.9%) tested positive compared to 15 (15%) in the group not taking HCQ (P < 0.001). Odds ratio with HCQ intake was 0.34 (95% CI 0.13–0.83, P = 0.01) and the number needed to treat was 12. Conclusion: HCQ is safe at the recommended dose for pre-exposure prophylaxis of COVID-19.