Miracle-dz/UniFAR-FTUs huggingface dataset:
Records of the cave-dwelling bats (Mammalia: Chiroptera) of Hispaniola with an examination of seasonal variation in diversity

The Hispaniolan bat fauna is understudied compared to the fauna of other Greater Antilles (SilvaTaboada, 1979; Gannon et al., 2005; Genoways et al., 2005). Unlike Cuba or Puerto Rico, no longstanding monitoring of bats has taken place to provide island-wide systematic records (Silva-Taboada, 1979; Gannon et al., 2005). Most sampling on His paniola has been opportunistic and instrumental to other goals such as sampling for phylogenetics (Tejedor et al., 2005a, 2005b), molecular ecology in general (Corthals et al., 2015), or more recently focused on fossil communities (Velazco et al., 2013). Only recently have extant records in museum collections been harnessed to provide an overview of the bat fauna, as previously done for Jamaica (Geno ways et al., 2005). That review found records for 18 species in six families, comprising 90% of the native extant mammals of the Dominican Re pub lic (Nú ñez-Novas and León, 2011). Of these, 16 species, or 89% of the total recorded, use caves as diurnal re fuges. Lacking any systematic sampling, however, the composition, richness and relative abundance of bat communities in Hispaniolan caves remains unknown. To address the lack of systematic sampling at Hispaniolan caves, our goal was to survey the bat communities of four caves in the Dominican Re public in a standardized manner for the first time. Additionally, we compared the current species composition with historical records for all caves using Acta Chiropterologica, 18(1): 269–278, 2016 PL ISSN 1508-1109 © Museum and Institute of Zoology PAS doi: 10.3161/15081109ACC2016.18. 1.016
The Survey Ontology: Packaging Survey Research as Research Objects

Surveys are a common and well explored method to collect information from people. Still, the sharing and reuse of survey data present several challenges for survey researchers that need to be supported in packaging and harmonising different resources describing a survey study. In this paper, we present the survey ontology that we designed to empower our CONEY toolkit for conversational surveys. Leveraging on Semantic Web technologies we aimed at building a solution to semantically annotate questions and answers at design time, and to easily elaborate and inter-link the collected data at analysis time. The survey ontology embraces the research object principles, and defines an open vocabulary to represent, annotate, and share a representation of the questionnaire structure and the gathered responses of a survey. We complement the discussion describing a complete survey research study carried out with CONEY and openly published as a research object.
The SMEs Owner Manager’s Money Attitude: Theory and Review on Literature

It is real truth money is important at any phase of business cycle since it open new opportunities and generates business. The lack of money could perceived as a threat and becomes highest burden to maintain the business. Thus, people seeking for loan to support the capital structure. Since most of the Small and Medium Enterprises (SMEs) being manage directly by the owner manager, it is crucial that the owner-manager capable to manage the financial efficiently in order to ensure the liquidity and enable repayment. These very close with the money attitude. The main objective of this paper is that to highlight bad money attitude could be driven loan default, business failure and bankruptcy. Therefore, the purpose of this paper isto reviews on the various concept of money attitude, the dimensions and understand the measurement to identify the effect to the business of attitude of those owner manager.
Hybrid Meshes

Hybrid meshes are a novel multiresolution mesh structure which combines the ﬂexibility of irregular and the simplicity of (semi-)regular meshes. We show how to construct hybrid meshes using both regular reﬁnement to build smooth patches and irregular operations to allow topology changes. We provide a user driven procedure for remeshing scanned geometry with hybrid meshes. Several examples and applications are included.
Measurement of the underground argon radiopurity for Dark Matter direct searches

A major worldwide effort is underway to procure the radiopure argon needed for DarkSide-20k (DS-20k), the first large scale detector of the new Global Argon Dark Matter Collaboration. The Urania project will extract and purify underground argon (UAr) from CO2 wells in the USA at a production rate of about 330 kg/day. Additional chemical purification of the UAr will be required prior to its use in the DS-20k LAr-TPC. The Aria project will purify UAr using a cryogenic distillation column (Seruci-I), located in Sardinia (Italy). Assessing the UAr purity in terms of 39Ar is crucial for the physics program of the DarkSide-20k experiment. DArT is a small (1 litre) radiopure chamber that will measure the 39 Ar depletion factor in the UAr. The detector will be immersed in the active liquid Ar volume of ArDM (LSC, Spain), which will act as a veto for gammas from the detector materials and the surrounding rock. In this article, the status and prospects of the UAr projects for DarkSide-20k are reviewed with a special focus in DArT.
Event reconstruction performance with new retro-reflector based designs for water Cherenkov detectors

We have proposed the possibility of a cost-efficient way to improve the detector performance for water Cherenkov detectors, by reflecting the usually lost light falling between photo-detectors onto the other side of the tank with retro-reflectors. Using a detector simulation based on optical measurements of retro-reflectors, we developed a convolutional neural network-based reconstruction algorithm. Here we report on the reconstruction performance for ring events in the energy scale expected for atmospheric and accelerator neutrinos under various candidate detector configurations.
Evidence for Cold-stream to Hot-accretion Transition as Traced by Lyα Emission from Groups and Clusters at 2 < z < 3.3

We present Keck Cosmic Web Imager observations of giant Lyα halos surrounding nine galaxy groups and clusters at 2 < z < 3.3, including five new detections and one upper limit. We find observational evidence for the cold-stream to hot-accretion transition predicted by theory by measuring a decrease in the ratio between the spatially extended Lyα luminosity and the expected baryonic accretion rate (BAR), with increasing elongation above the transition mass (M stream). This implies a modulation of the share of BAR that remains cold, diminishing quasi-linearly (logarithmic slope of 0.97 ± 0.19, 5σ significance) with the halo to M stream mass ratio. The integrated star formation rates (SFRs) and active galactic nucleus (AGN) bolometric luminosities display a potentially consistent decrease, albeit significant only at 2. 6σ and 1. 3σ, respectively. The higher scatter in these tracers suggests the Lyα emission might be mostly a direct product of cold accretion in these structures rather than indirect, mediated by outflows and photoionization from SFR and AGNs; this is also supported by energetics considerations. Below M stream (cold-stream regime), we measure L Lyα /BAR = 1040.51±0.16 erg s−1 M⊙−1 yr, consistent with predictions, and SFR/BAR = 10−0.54±0.23: on average, 30−10+20 % of the cold streams go into stars. Above M stream (hot-accretion regime), L Lyα is set by M stream (within 0.2 dex scatter in our sample), independent of the halo mass but rising 10-fold from z = 2 to 3.
Dense neutrino oscillations : beyond two flavor

In a dense supernova environment, neutrinos can undergo flavor conversions known as the collective oscillations. These self induced neutrino flavor conversions (collective oscillations) are almost exclusively studied in the standard two flavor scenario. We study these oscillations in the complete three flavor scenario. The ‘fast’ conversions are fascinating distinctions of the dense neutrino systems. In the fast modes the collective oscillation dynamics are independent of the neutrino mass, growing at the scale of the large neutrino-neutrino interaction strength (105 km−1 ) of the dense core. This is extremely fast, as compared to the usual ‘slow’ collective modes driven by much smaller vacuum oscillation frequencies (100 km−1). We perform the first non-linear simulations of fast conversions in the presence of three neutrino flavors which is motivated from the recent supernova simulations with muon production. We relax the standard νμ,τ=ν¯μ,τ (two-flavor) assumption. Our results show the significance of muon and tau lepton number angular distributions, together with the traditional electron lepton number ones and thus explain the need for a complete three flavor analysis.
Azimuthal controlling of electromagnetically induced phase grating in five-level quantum systems

In this paper, we suggest a theoretical model for creating a two-dimensional (2D) electromagnetically induced phase grating in a five-level quantum system interacting with a weak probe light, two coupling standing light in the x and y directions and a Laguerre–Gaussian (LG) field. By derivation of the Maxwell’s wave equation, we obtain the dynamic response of the probe light in the quantum system. Then, we perform the analytical solution of the probe susceptibility for obtaining the linear and nonlinear properties of the medium. By numerical calculations, we discuss the amplitude and phase modulations and Fraunhofer diffraction patterns of the probe light in different parametric conditions. We show that by adjusting the orbital angular momentum (OAM) of the LG light a 2D grating is observed. Moreover, we find that the probe energy can be transferred from zero order to high order of direction when we change the OAM number of LG light. Our proposed model may have potential applications in fundamental research and quantum information processing based on OAM light in quantum systems.
Protein structure determination as a powerful tool for the sustainable development of agriculture field (and its potential relevance in Indonesia)

Traditional agricultural practices, such as classical plant breeding and pest management, have been utilized for many years to increase crop yield and improve its properties. However, more effective and sustainable practices are needed to meet the increasing global demands for agricultural-based products. In the past decades, DNA recombinant technology, and protein structure determination have been employed as a tool for the development of the agricultural field. Protein structure determination enables us to understand the structure-function relationship of a given protein, such as plant hormone, receptor, or growth regulators, thus introducing modifications to improve the properties of the crop. This review introduces the latest development of protein structure determination techniques ranging from X-ray crystallography, protein NMR, and cryo-electron microscopy. Notable examples of how these techniques can be utilized as a powerful tool for the sustainable development of the agricultural field, including their potential relevance in Indonesia, are introduced.
Spatio-temporal trends and change point detection in rainfall in different parts of North-eastern Indian states

Anthropogenic activities often perturbed the normal behaviour of our natural climate system at ecosystem level, forcing it to change over the last centuries.The nature and magnitude of change have a high degree of spatiotemporal variability. At the local level and over short period, the adverse impacts are expected to be more intense.The natural resource rich north eastern region of India receive about 2.6 times more rainfall than other agro-climatic zone of the country (Dash et al, 2009). At present, the region is facing the negative consequences of the environmental changes that is challenging the environmental security and ecological sustainability of this region having unique limitations of landscape, trans-boundary river basins and inherent socioeconomic instabilities. In the recent years, the variations in rainfall events have increased along with the frequent occurrence of extreme events (Dash et al, 2009). In this high rainfall receiving zone apart from flood it has faced some unprecedented drought like situation due to rainfall anomalies in the recent years.
A Hybrid Genetic Algorithm Approach to Multi-objective ERP Training Scheduling Problems

It mainly addresses a hybrid multiobjective training scheduling genetic algorithm in this research. We can get the schedule that almost matches the real decisive results to help enterprises proceed with training scheduling successfully by the algorithm. It can reduce from a week to twenty minutes in schedule. The enterprise can cost less to proceed with the schedule and have great elasticity to make decision. Finally, it lets employee in the enterprise help ERP (enterprise resource planning) system working successfully by joining the training though the establishment of enterprise decision support system and makes the enterprises’ operation cope with changeable businessenvironment with the most effective ways.
An In-vivo Study into the Effects of Schisandrin B in the Liver, Spleen, Kidney, and Brain of Acute Thioacetamide-intoxicated Mice

Currently, there are no effective treatments for liver diseases. Treatment usually involves controlling complications and supportive care. As liver injuries also affect other organs such as the spleen, kidney, and brain due to their anatomical and physiological relationships, finding an effective treatment is urgently needed. This research aimed to evaluate the therapeutic effect of Schisandrin B (Sch B) in the liver and other organs in thioacetamide (TAA)-intoxicated mice. In this study, mice were exposed to a single intraperitoneal injection of 200 mg/kg TAA to induce hepatitis. Following Sch B (20 mg/kg/day, 28 consecutive days) treatment, biochemistry analysis and histopathological examination of different organs were performed, in addition to western blotting and flow cytometry to evaluate the involvement of inflammasomes and apoptotic proteins. Our results showed that administration of Sch B protected against TAA-induced damages, and it disparately affected inflammasome activation and apoptosis in different organs. Furthermore, Sch B treatment improved organ function, as indicated by the improvement of serum biochemical parameters. Collectively, our findings reveal a beneficial effect of Sch B on different organ damages in mice intoxicated with TAA.
Measuring Memory Lapses and Their Impact on Daily Life: Results From Two Daily Diary Studies

Memory lapses (e.g., forgetting a medication) are common for most people, yet past methods of assessment relied upon retrospective reports from long recall windows. Recently, researchers have incorporated daily diary methods to capture memory lapse frequency closer to the experience in real-world environments. This study describes the utility of the Daily Memory Lapses Checklist using data from two 14-day diary studies (Combined Sample = 467; 66% women). Frequency and impact (i.e., irritation and interference) of prospective and retrospective memory lapses were assessed at both individual- and daily levels. Across studies, memory lapses occurred on more than one-third of assessment days. Retrospective lapses were reported more frequently than prospective; however, both lapses had a similar impact. The Daily Memory Lapses Checklist represents a flexible measure that separates the occurrence of a memory lapse from its impact on daily life: metrics that will enhance our understanding of daily experiences of cognitive functioning.
The molecular characteristics of low‐grade and high‐grade areas in desmoplastic infantile astrocytoma/ganglioglioma

Desmoplastic infantile astrocytomas and gangliogliomas (DIA/DIGs) are rare brain tumours of infancy. A distinctive feature of their histopathology is a combination of low‐grade and high‐grade features. Most DIA/DIGs can be surgically resected and have a good prognosis. However, high‐grade features often dominate recurrent tumours, some of which have a poor outcome. In this study, we test the hypothesis that low‐grade and high‐grade areas in DIA/DIGs have distinct molecular characteristics.
When and Why People Prefer Higher Educated Politicians: Ingroup Bias, Deference, and Resistance

When choosing between political candidates of different educational levels, do voters show ingroup bias or base their vote choice on candidates’ perceived competence? We aim to investigate how (fictional) political candidates of different educational levels are evaluated and voted for, how this is affected by voters’ educational level, and the role of perceived (Study 1) and manipulated competence (Study 2). Higher educated participants preferred higher to less educated candidates over and above their level of competence, particularly when they identified strongly with their educational level. This reflects ingroup bias among the higher educated. Less educated participants preferred higher educated candidates in Study 1, but did not prefer higher educated candidates when competence was manipulated independently from education in Study 2. The less educated, unlike the higher educated, therefore, seem to show deference to the assumed competence of the higher educated, because it disappears when more reliable competence information is available.
Maternal polycystic ovary syndrome and the potential risk of attention-deficit/hyperactivity disorder and autism spectrum disorder in the offspring: a systematic review and meta-analysis

Abstract Objective Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two increasing important problems among children. This study aims to explore the link between maternal polycystic ovary syndrome (PCOS) and the risk of ASD and ADHD in the offspring. Method The MOOSE guidelines were followed in the conduct of this meta-analysis. A literature search was done in PubMed/MEDLINE, Scopus, and Web of Science from inception until January 2021. The DerSimonian and Laird random-effects model was used to estimate the combined risk ratios (RR) and 95% confidence intervals (CI). Sensitivity analysis was also used to investigate the effect of each study on the combined results. Results Seven studies, with 1,358,696 participants, comprising 7,334 ADHD cases and 3,920 ASD cases, were included in this study. Children born to mothers with maternal PCOS had higher risks of developing ASD (RR = 1.46, 95% CI: 1.26–1.69, I2 = 64%) and ADHD (RR = 1.43, 95% CI: 1.35–1.41, I2 = 0%) when compared with children born to mothers without maternal PCOS. Conclusion This study showed that there might be a link between maternal PCOS and the risk of developing ASD and ADHD in the offspring. This important issue must be considered in PCOS women during and after pregnancy.
AKT2 reduces IFNβ1 production to modulate antiviral responses and systemic lupus erythematosus

Interferon regulatory factor 3 (IRF3)‐induced type I interferon (I‐IFN) production plays key roles in both antiviral and autoimmune responses. IRF3 phosphorylation, dimerization, and nuclear localization are needed for its activation and function, but the precise regulatory mechanisms remain to be explored. Here, we show that the serine/threonine kinase AKT2 interacts with IRF3 and phosphorylates it on Thr207, thereby attenuating IRF3 nuclear translocation in a 14‐3‐3ε‐dependent manner and reducing I‐IFN production. We further find that AKT2 expression is downregulated in viral‐infected macrophages or in monocytes and tissue samples from systemic lupus erythematosus (SLE) patients and mouse models. Akt2‐deficient mice exhibit increased I‐IFN induction and reduced mortality in response to viral infection, but aggravated severity of SLE. Overexpression of AKT2 kinase‐inactive or IRF3‐T207A mutants in zebrafish supports that AKT2 negatively regulates I‐IFN production and antiviral response in a kinase‐dependent manner. This negative role of AKT2 in IRF3‐induced I‐IFN production suggests that AKT2 may be therapeutically targeted to differentially regulate antiviral infection and SLE.
Obsessive-compulsive symptoms in major depressive disorder correlate with clinical severity and mixed features

Obsessive-compulsive symptoms (OCS) are often reported in patients with bipolar disorder. The aim of this study was to investigate OCS and their related clinical features in major depressive disorder (MDD). The analysis involved 482 outpatients with MDD collected within the Combining Medications to Enhance Depression outcomes trial, who were assessed with scales for depression, suicidality, irritability, hypomanic symptomatology, and other comorbid psychiatric manifestations. OCS were reported in 27% of the sample. Patients with MDD experiencing OCS were found to differ from those not experiencing OCS by a greater severity of depression (d = 0.41, P = 0.0001), more hypomanic symptoms (d = 0.48, P < 0.0001) and mixed features (22% vs. 10%, P = 0.001), increased levels of suicidal thoughts (d = 0.40, P = 0.0001), a lower likelihood of achieving remission after antidepressant treatment (19% vs. 33%, P = 0.0109), as well as more comorbid anxiety disorders (i.e. panic disorder: d = 0.98, P < 0.0001; generalized anxiety disorder: d = 0.74, P < 0.0001; social phobia: d = 0.71, P < 0.0001), and post-traumatic stress disorder (d = 0.81, P < 0.0001). In light of these findings, clinicians should pay more attention to the occurrence of OCS in MDD, as these symptoms may reflect greater clinical severity, poorer treatment outcome, and increased risk for bipolarity.
The effect of biofeedback treatment for children with non‐neurogenic voiding dysfunction: A systematic review and meta‐analysis

Children's non‐neurogenic voiding dysfunction (NVD) is a syndrome characterized by lower urinary tract symptoms (LUTs) because of the inability to relax the external sphincter. Patients with NVD always suffer from urinary tract infections (UTI), incontinence, constipation. The aim of this study is to assess the efficacy of biofeedback treatment for children's NVD.
Efficacy of birinapant in combination with carboplatin in targeting platinum-resistant epithelial ovarian cancers

Patients diagnosed with epithelial ovarian cancers (EOCs) often suffer from disease relapse associated with the emergence of resistance to standard platinum-based chemotherapy. Treatment of patients with chemo-resistant disease remains a clinical challenge. One mechanism of chemoresistance includes overexpression of pro-survival proteins called inhibitors of apoptosis (IAP) which enable cancer cells to evade apoptosis. Due to their anti-apoptotic activity, association with poor prognosis, and correlation with therapy resistance in multiple malignancies, IAP proteins have become an attractive target for development of anticancer therapeutics. Second mitochondrial activator of caspase (SMAC) mimetics are the most widely used IAP antagonists currently being tested in clinical trials as a monotherapy and in combination with different chemotherapeutic drugs to target different types of cancer. In the present study, the antitumor efficacy of combination therapy with birinapant, a bivalent SMAC mimetic compound, and carboplatin to target platinum-resistant EOC cells was investigated. A 3D organoid bioassay was utilized to test the efficacy of the combination therapy in a panel of 7 EOC cell lines and 10 platinum-resistant primary patient tumor samples. Findings from the in vitro studies demonstrated that the birinapant and carboplatin combination was effective in targeting a subset of ovarian cancer cell lines and platinum-resistant primary patient tumor samples. This combination therapy was also effective in vitro and in vivo in targeting a platinum-resistant patient-derived xenograft (PDX) model established from one of the patient tumors tested. Overall, our study demonstrated that birinapant and carboplatin combination could target a subset of platinum-resistant ovarian cancers and also highlights the potential of the 3D organoid bioassay as a preclinical tool to assess the response to chemotherapy or targeted therapies in ovarian cancer.