Strong Restrictions Research Articles

Live wild bird exports from West Africa: insights into recent trade from monitoring social media

SummaryThe expansion of wildlife trade on social media presents many challenges but also opportunities to gain insights into areas of trade where there is little recent data. West Africa has historically been a major source of wild birds in international trade but in 2007, the requirement for CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora) Parties to monitor a host of West-African species ended and there is little data regarding current trade. To address this gap, we surveyed trade-related posts created by known traders from 2016 to 2020 on a popular social-media platform to identify species composition, trade routes and potential conservation and biosecurity risks. We identified 427 social-media posts featuring a broad taxonomic diversity of birds, including 83 species from 26 avian families, including nine CITES-listed species, four listed in IUCN Threatened categories and 19 associated with alien introductions linked to bird trade. Disease risks were identified, with multiple species housed together in densely-stocked facilities and nine species recorded as posing a potential disease risk. Using novel analyses of post-engagement, we observed social-media posts facilitating connections with users across the globe. Trade-related engagement particularly came from countries in the Middle East and South Asia, notably India which has strong domestic restrictions on the importation of wild birds. Further research is needed to monitor the impact of trade from this region, as data regarding the population status and volume of trade in many observed species is largely absent.

Influences of fiber fibrillation degree on mechanical and tribological performances of aramid fiber/nitrile rubber composites

AbstractThree types of aramid fibers (AFs) with various surface fibrillation degrees were introduced into nitrile rubber (NBR) matrix to prepare the AF/NBR composites, respectively. Their impacts on the mechanical and tribological performances of the NBR composites were mainly studied. The results showed that, as the fiber content increased, the tensile strength of the AF/NBR composites increased after initially decreased, and the turning point moved toward the direction of lower AF content with the fiber fibrillation degree increase. In addition, when the AF content was low, the tensile strength decreased as the fibrillation degree increased, but the opposite trend was observed when the AF content became high. In addition, the tear strength increased with the increase of the fiber content and fibrillation degree. With the fiber fibrillation degree increase, the tan δmax of the composites decreased, indicating a stronger restriction on the NBR molecular chains. Furthermore, the surface fibrillation degree increase slightly decreased the friction coefficient (COF). The wear performance of the AF/NBR composites improved with the fiber content increase. The fibrillation degree increase further improved the wear resistance. It should be due to the tear strength increase and the enhanced interfacial interaction between the fiber and rubber matrix.

Factors associated with an increase in alcohol consumption among users of online social networks in Russia in the early months of the COVID-19 pandemic

IntroductionThe various restrictions and physical distancing introduced inRussia in early months of COVID-19pandemic could have a particular impact on people who use alcohol and create new needs for prevention and treatment of associated disorders.ObjectivesThe study was aimed at assessing changes in alcohol consumption among users of online social networks in Russia.MethodsDuring June-September 2020,1518 adult users (18+) of the most popular social networks in Russia (Odnoklassniki, VKontakte,Facebook, Twitter), completed an anonymous online survey regarding alcohol use changes in the first months of COVID-19 pandemic. Binary logistic regression was used to estimate associations of increased alcohol consumption with socio-demographic and pandemic-related factors.Results35.4%of men and 25.6%of women increased their frequency of drinking; 24.9%of men and 17.7%of women increased their typical one-time volume of alcohol consumption,and 28.5% of men and 27.9% of women increased frequency of heavy episodic drinking in the early months of pandemic. After mutual adjustment of independent variables,age18-29 years(OR=1.710;95%CI 1.002-2.917), very strong restrictions of everyday life(3.127; 1.011-9.675)and severe negative consequences in relation to professional or financial situation due to spread ofSARS-CoV-2 (2.247; 1.131-4.465) were positively associated with increase in frequency of drinking. The odds of increase in frequency of heavy episodic drinking were more than twice higher(2.329; 1.001-5.428) among those who experienced severe negative consequences to their professional/financial situation.Higher typical frequency,larger one-time volume of alcohol use,and higher frequency of heavy episodic drinking before pandemic were positively associated with increase of alcohol consumption in early months of pandemic.ConclusionsTimely monitoring of changes in alcohol consumption during pandemic can allow prevention of alcohol-related disorders, including mental disorders, among users of online social networks.DisclosureNo significant relationships.

ARTIC GAN: A Recursive Text-Image-Conditioned GAN

Generative Adversarial Networks have recently demonstrated the capability to synthesize photo-realistic real-world images. However, they still struggle to offer high controllability of the output image, even if several constraints are provided as input. In this work, we present a Recursive Text-Image-Conditioned GAN (aRTIC GAN), a novel approach for multi-conditional image generation under concurrent spatial and text constraints. It employs few line drawings and short descriptions to provide informative yet human-friendly conditioning. The proposed scenario is based on accessible constraints with high degrees of freedom: sketches are easy to draw and add strong restrictions on the generated objects, such as their orientation or main physical characteristics. Text on its side is so common and expressive that easily enforces information otherwise impossible to provide with minimal illustrations, such as objects components color, color shades, etc. Our aRTIC GAN is suitable for the sequential generation of multiple objects due to its compact design. In fact, the algorithm exploits the previously generated image in conjunction with the sketch and the text caption, resulting in a recurrent approach. We developed three network blocks to tackle the fundamental problems of catching captions’ semantic meanings and of handling the trade-off between smoothing grid-pattern artifacts and visual detail preservation. Furthermore, a compact three-task discriminator (covering global, local and textual aspects) was developed to preserve a lightweight and robust architecture. Extensive experiments proved the validity of aRTIC GAN and show that the combined use of sketch and description allows us to avoid explicit object labeling.

Generalized dihedral CI-groups

In this paper, we find a strong new restriction on the structure of CI-groups. We show that, if R is a generalised dihedral group and if R is a CI-group, then for every odd prime p the Sylow p-subgroup of R has order p, or 9. Consequently, any CI-group with quotient a generalised dihedral group has the same restriction, that for every odd prime p the Sylow p-subgroup of the group has order p, or 9.

Photosynthesis, growth, and distribution of plants in lowland streams—A synthesis and new data analyses of 40 years research

Abstract This paper synthesises insights and offers new quantitative analyses of data gathered during 40 years of stream research by Danish researchers and international associates. Lowland Danish streams mostly drain fertile cropland and contain high nutrient concentrations saturating maximum yield and growth rate of plants. Concentrations of carbon dioxide (CO2) are variable, although usually high, supporting a range of wetland and permanently submerged species. All terrestrial and most amphibious species are obligate CO2 users, while the majority of permanently submerged species can supplement their inorganic carbon demand with bicarbonate. In lake outlets, the average CO2 concentration was close to air saturation during summer, whereas sites with no lake influence were 9‐fold supersaturated. The 20% increase of atmospheric CO2 concentrations over the past 40 years has marginal influence on CO2 concentrations in the streams. In lake outlets with low CO2 concentrations, calculations on 33 stream species showed essentially no underwater photosynthesis by temporarily submerged terrestrial species, low rates by amphibious species, and high rates by permanently submerged bicarbonate users. Underwater photosynthetic rates increased at sites with high CO2 concentrations (no lake influence): they were lowest for terrestrial wetland species (mean 1.8 mg O2 g dry weight−1 hr−1), followed by homophyllous (3.0) and heterophyllous amphibious species (5.6), and highest among permanently submerged species (15.0). Terrestrial and amphibious species grew very slowly when CO2 levels were low, but rapidly in CO2 rich water, or when in contact with air above the water's surface. Decreasing CO2 concentrations from upstream to downstream caused lower photosynthesis rates of amphibious species, while photosynthesis by bicarbonate users was consistently high. The relative abundance of terrestrial and amphibious species decreased significantly as CO2 resources decline from upstream to downstream, while the abundance of permanently submerged species increased as streams progressed. However, plant abundance as a function of CO2 concentrations did not differ markedly among the plant groups. We conclude that photosynthesis and growth of species of different plant types under controlled experimental conditions resembling high in situ nutrient availability are closely related to inorganic carbon supplies, while their representation in plant assemblages is influenced by the spatially and temporally highly diverse ecological conditions from upstream to downstream in the mostly CO2‐rich lowland streams. Submerged terrestrial and amphibious species restricted to CO2 use for photosynthesis can partly escape the slow gas diffusion under water by growing in very CO2‐rich streams and having apical leaves in contact with air. Thus, strong restrictions on their growth and existence should be identified at sites where CO2 concentrations are consistently low and no air contact is possible, while co‐limitation by nutrients is likely to be marginal. Generally, rising atmospheric CO2 is irrelevant to photosynthesis of permanently submerged plants because of their ability to use bicarbonate and the high CO2 supersaturation in most stream sites. In contrast, photosynthesis and growth of amphibious and terrestrial plants under water are highly dependent on CO2 concentrations varying from close to air saturation in lake outlets to supersaturation in headwaters.

Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension.

We develop a general framework for statistical inference with the 1-Wasserstein distance. Recently, the Wasserstein distance has attracted considerable attention and has been widely applied to various machine learning tasks because of its excellent properties. However, hypothesis tests and a confidence analysis for it have not been established in a general multivariate setting. This is because the limit distribution of the empirical distribution with the Wasserstein distance is unavailable without strong restriction. To address this problem, in this study, we develop a novel nonasymptotic gaussian approximation for the empirical 1-Wasserstein distance. Using the approximation method, we develop a hypothesis test and confidence analysis for the empirical 1-Wasserstein distance. We also provide a theoretical guarantee and an efficient algorithm for the proposed approximation. Our experiments validate its performance numerically.

Legalising Abortion in Argentina: Social Movements and Multi-Party Coalitions

On 30 December 2020, the Argentine Senate legalised abortion on demand until 14 weeks of pregnancy. How was this legal change possible in a region characterised by strong restrictions on reproductive rights? Based on in-depth interviews and participant observation, this article shows how the emergence of a strong social movement around abortion reform was able to shift the negative perceptions associated with this medical practice and build a multi-party coalition to advance the legalisation of abortion in Congress. The secularism espoused by all political parties across the ideological spectrum allowed for the presence of feminist politicians within them, most of whom would become key interlocutors of the movement jointly working towards legalisation. A supportive executive, while helpful, could not ensure the passage of legal abortion alone, making the creation of a multi-party coalition a requirement for success.

In Situ Observations of Wind Turbines Wakes with Unmanned Aerial Vehicle BOREAL within the MOMEMTA Project

The MOMENTA project combines in situ and remote sensing observations, wind tunnel experiments, and numerical modeling to improve the knowledge of wake structure in wind farms in order to model its impact on the wind turbines and to optimize wind farm layout. In this context, we present the results of a first campaign conducted with a BOREAL unmanned aerial vehicle (UAV) designed to measure the three wind components with a horizontal resolution as fine as 3 m. The observations were performed at a wind farm where six turbines were installed. Despite the strong restrictions imposed by air traffic control authorities, we were able to document the wake area of two turbines during two flights in April 2021. The flight patterns consisted of horizontal racetracks with various orientations performed at different distances from the wind turbines; thus, horizontal wind speed fields were built in which the wind reduction area in the wake is clearly displayed. On a specific day, we observed an overspeed area between the individual wakes of two wind turbines, likely resulting from the cumulative effect of the wakes generated behind two successive rows of turbines. This study demonstrates the potential of BOREAL to document turbine wakes.

Spatial dynamics of feedback and feedforward regulation in cell lineages.

Feedback mechanisms within cell lineages are thought to be important for maintaining tissue homeostasis. Mathematical models that assume well-mixed cell populations, together with experimental data, have suggested that negative feedback from differentiated cells on the stem cell self-renewal probability can maintain a stable equilibrium and hence homeostasis. Cell lineage dynamics, however, are characterized by spatial structure, which can lead to different properties. Here, we investigate these dynamics using spatially explicit computational models, including cell division, differentiation, death, and migration / diffusion processes. According to these models, the negative feedback loop on stem cell self-renewal fails to maintain homeostasis, both under the assumption of strong spatial restrictions and fast migration / diffusion. Although homeostasis cannot be maintained, this feedback can regulate cell density and promote the formation of spatial structures in the model. Tissue homeostasis, however, can be achieved if spatially restricted negative feedback on self-renewal is combined with an experimentally documented spatial feedforward loop, in which stem cells regulate the fate of transit amplifying cells. This indicates that the dynamics of feedback regulation in tissue cell lineages are more complex than previously thought, and that combinations of spatially explicit control mechanisms are likely instrumental.

Using Model Theory to Find Decidable and Tractable Description Logics with Concrete Domains

Concrete domains have been introduced in the area of Description Logic to enable reference to concrete objects (such as numbers) and predefined predicates on these objects (such as numerical comparisons) when defining concepts. Unfortunately, in the presence of general concept inclusions (GCIs), which are supported by all modern DL systems, adding concrete domains may easily lead to undecidability. To regain decidability of the DL mathcal {ALC} in the presence of GCIs, quite strong restrictions, in sum called omega -admissibility, were imposed on the concrete domain. On the one hand, we generalize the notion of omega -admissibility from concrete domains with only binary predicates to concrete domains with predicates of arbitrary arity. On the other hand, we relate omega -admissibility to well-known notions from model theory. In particular, we show that finitely bounded homogeneous structures yield omega -admissible concrete domains. This allows us to show omega -admissibility of concrete domains using existing results from model theory. When integrating concrete domains into lightweight DLs of the mathcal {EL} family, achieving decidability is not enough. One wants reasoning in the resulting DL to be tractable. This can be achieved by using so-called p-admissible concrete domains and restricting the interaction between the DL and the concrete domain. We investigate p-admissibility from an algebraic point of view. Again, this yields strong algebraic tools for demonstrating p-admissibility. In particular, we obtain an expressive numerical p-admissible concrete domain based on the rational numbers. Although omega -admissibility and p-admissibility are orthogonal conditions that are almost exclusive, our algebraic characterizations of these two properties allow us to locate an infinite class of p-admissible concrete domains whose integration into mathcal {ALC} yields decidable DLs.

Association of Different Restriction Levels With COVID-19-Related Distress and Mental Health in Somatic Inpatients: A Secondary Analysis of Swiss General Hospital Data.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic and related countermeasures hinder health care access and affect mental wellbeing of non-COVID-19 patients. There is lack of evidence on distress and mental health of patients hospitalized due to other reasons than COVID-19—a vulnerable population group in two ways: First, given their risk for physical diseases, they are at increased risk for severe courses and death related to COVID-19. Second, they may struggle particularly with COVID-19 restrictions due to their dependence on social support. Therefore, we investigated the association of intensity of COVID-19 restrictions with levels of COVID-19-related distress, mental health (depression, anxiety, somatic symptom disorder, and mental quality of life), and perceived social support among Swiss general hospital non-COVID-19 inpatients.MethodsWe analyzed distress of 873 hospital inpatients not admitted for COVID-19, recruited from internal medicine, gynecology, rheumatology, rehabilitation, acute geriatrics, and geriatric rehabilitation wards of three hospitals. We assessed distress due to the COVID-19 pandemic, and four indicators of mental health: depressive and anxiety symptom severity, psychological distress associated with somatic symptoms, and the mental component of health-related quality of life; additionally, we assessed social support. The data collection period was divided into modest (June 9 to October 18, 2020) and strong (October 19, 2020, to April 17, 2021) COVID-19 restrictions, based on the Oxford Stringency Index for Switzerland.ResultsAn additional 13% (95%-Confidence Interval 4–21%) and 9% (1–16%) of hospital inpatients reported distress related to leisure time and loneliness, respectively, during strong COVID-19 restrictions compared to times of modest restrictions. There was no evidence for changes in mental health or social support.ConclusionsFocusing on the vulnerable population of general hospital inpatients not admitted for COVID-19, our results suggest that tightening of COVID-19 restrictions in October 2020 was associated with increased COVID-19-related distress regarding leisure time and loneliness, with no evidence for a related decrease in mental health. If this association was causal, safe measures to increase social interaction (e.g., virtual encounters and outdoor activities) are highly warranted.Trial registrationwww.ClinicalTrials.gov, identifier: NCT04269005.

Scalar field dark matter with two components: Combined approach from particle physics and cosmology

In this work we explore the possibility of incorporating particle physics motivated scalar fields to the dark matter cosmological model. In this landscape, we consider the classical complex scalar field in a certain region in the parameter space of the model that increases the number of neutrino species $N_{\mathrm{eff}}$, in order to be consistent with the observed abundance of light elements produced at Big Bang Nucleosynthesis (BBN). We perform analyses using one and two scalar fields. We examine the difference between these models and the priors considered at the edges of the cosmic ladder, this with the purpose of studying the impact of such models on the Hubble cosmic flow. In the two scalar field models we explore the possibility of combining an axion and a Higgs-like field as well as a Higgs-like field and the classical field, we show that in the first case there is no set of parameters that allows us to be consistent with $N_\mathrm{eff}$, while in the second case a strong restriction to the set of parameters is obtained. This last restriction is given in terms of a maximum bound of the fraction of Higgs-like field that can be incorporated together with the classical field. Our results could be relevant in the direct dark matter detection programs.

Symmetries of conformal correlation functions

A program of wide interest in modern conformal bootstrap studies is to numerically solve general conformal field theories, based on a critical assumption that the dynamics is encoded in the conformal four-point crossing equations and positivity condition. In this paper we propose and verify a novel algebraic property of the crossing equations which provides strong restriction for this program. We show for various types of symmetries $\mathcal{G}$, the crossing equations can be linearly converted into the $SO(N)$ vector crossing equations associated with the $SO(N)\ensuremath{\rightarrow}\mathcal{G}$ branching rules and the transformations satisfy positivity condition. The dynamics constrained by the $\mathcal{G}$-symmetric crossing equations combined with the positivity condition degenerates to the $SO(N)$ symmetric cases, while the non-$SO(N)$ symmetric theories are not directly solvable without introducing the $SO(N)$ symmetry breaking assumptions on the spectrum.

Endotrivial modules for finite groups via homotopy theory

Classifying endotrivialkGkG-modules, i.e., elements of the Picard group of the stable module category for an arbitrary finite groupGG, has been a long-running quest. By deep work of Dade, Alperin, Carlson, Thévenaz, and others, it has been reduced to understanding the subgroup consisting of modular representations that split as the trivial modulekkdirect sum a projective module when restricted to a Sylowpp-subgroup. In this paper we identify this subgroup as the first cohomology group of the orbit category on non-trivialpp-subgroups with values in the unitsk×k^\times, viewed as a constant coefficient system. We then use homotopical techniques to give a number of formulas for this group in terms of the abelianization of normalizers and centralizers inGG, in particular verifying the Carlson–Thévenaz conjecture—this reduces the calculation of this group to algorithmic calculations in local group theory rather than representation theory. We also provide strong restrictions on when such representations of dimension greater than one can occur, in terms of thepp-subgroup complex andpp-fusion systems. We immediately recover and extend a large number of computational results in the literature, and further illustrate the computational potential by calculating the group in other sample new cases, e.g., for the Monster at all primes.

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy.

Most human body proteins' activity and functionality are related to configurational changes of entire subdomains within the protein crystal structure. The crystal structures build the basis for any calculation that describes the structure or dynamics of a protein, most of the time with strong geometrical restrictions. However, these restrictions from the crystal structure are not present in the solution. The structure of the proteins in the solution may differ from the crystal due to rearrangements of loops or subdomains on the pico to nanosecond time scale (i.e., the internal protein dynamics time regime). The present work describes how slow motions on timescales of several tens of nanoseconds can be accessed using neutron scattering. In particular, the dynamical characterization of two major human proteins, an intrinsically disordered protein that lacks a well-defined secondary structure and a classical antibody protein, is addressed by neutron spin echo spectroscopy (NSE) combined with a wide range of laboratory characterization methods. Further insights into protein domain dynamics were achieved using mathematical modeling to describe the experimental neutron data and determine the crossover between combined diffusive and internal protein motions. The extraction of the internal dynamic contribution to the intermediate scattering function obtained from NSE, including the timescale of the various movements, allows further vision into the mechanical properties of single proteins and the softness of proteins in their nearly natural environment in the crowded protein solution.

Commensurated subgroups and micro-supported actions (with an appendix by Dominik Francoeur)

Let \Gamma be a finitely generated group and X be a minimal compact \Gamma -space. We assume that the \Gamma -action is micro-supported, i.e. for every non-empty open subset U \subseteq X , there is an element of \Gamma acting non-trivially on U and trivially on the complement X \setminus U . We show that, under suitable assumptions, the existence of certain commensurated subgroups in \Gamma yields strong restrictions on the dynamics of the \Gamma -action: the space X has compressible open subsets, and it is an almost \Gamma -boundary. Those properties yield in turn restrictions on the structure of \Gamma : \Gamma is neither amenable nor residually finite. Among the applications, we show that the (alternating subgroup of the) topological full group associated to a minimal and expansive Cantor action of a finitely generated amenable group has no commensurated subgroups other than the trivial ones. Similarly, every commensurated subgroup of a finitely generated branch group is commensurate to a normal subgroup; the latter assertion relies on an appendix by Dominik Francoeur, and generalizes a result of Phillip Wesolek on finitely generated just-infinite branch groups. Other applications concern discrete groups acting on the circle, and the centralizer lattice of non-discrete totally disconnected locally compact (tdlc) groups. Our results rely, in an essential way, on recent results on the structure of tdlc groups, on the dynamics of their micro-supported actions, and on the notion of uniformly recurrent subgroups.

Stop of proton-pump inhibitor treatment in patients with liver cirrhosis (STOPPIT): study protocol for a prospective, multicentre, controlled, randomized, double-blind trial

BackgroundProton-pump inhibitors (PPI) are liberally prescribed in patients with liver cirrhosis. Observational studies link PPI therapy in cirrhotic patients with an increased risk for infectious complications, hepatic encephalopathy and an increased risk for hospitalization and mortality. However, patients with liver cirrhosis are also considered to be at risk for peptic ulcer bleeding. The STOPPIT trial evaluates if discontinuation of a pre-existing PPI treatment delays a composite endpoint of re-hospitalization and/or death in patients (recently) hospitalized with liver cirrhosis compared to patients on continued PPI medication.MethodsThe STOPPIT-trial is a prospective, multicentre, randomized, double-blinded, placebo-controlled, parallel-group trial. In total, 476 patients with complicated liver cirrhosis who already receive long-term PPI therapy without evidence-based indication are 1:1 randomized to receive either esomeprazole 20 mg (control group) or placebo (intervention group) for 360 days. Patients with an indication for PPI therapy (such as a recent diagnosis of peptic ulcers, severe reflux esophagitis, severe hemorrhagic gastritis, recent endoscopic therapy for oesophageal varices) are excluded. The primary composite endpoint is the time-to re-hospitalization and/or death. Secondary endpoints include rates of re-hospitalization, mortality, occurrence of infections, hepatic decompensation and acute-on-chronic liver failure. The safety endpoint is defined as manifestation of an evidence-based indication for PPI re-therapy. The impact of PPI continuation or discontinuation on the intestinal microbiota will be studied. The recruitment will take place at 18 study sites throughout Germany. Recruitment has started in April 2021.DiscussionThe STOPPIT trial is the first clinical trial to study the effects of PPI withdrawal on relevant outcome variables in patients with complicated liver cirrhosis. If the hypothesis that PPI withdrawal improves clinical outcomes of cirrhosis patients is confirmed, this would argue for a strong restriction of the currently liberal prescription practice of PPIs in this population. If, on the other hand, the trial demonstrates an increased risk of gastrointestinal bleeding events in patients after PPI withdrawal, this could create a rationale for a more liberal, prophylactic PPI treatment in patients with liver cirrhosis.Trial registrationEU clinical trials register EudraCT 2019-005008-16 (registered December 27, 2019). ClinicalTrials.gov NCT04448028 (registered June 25, 2020). German Clinical Trials Register DRKS00021290 (registered March 10, 2021).

Environmental justice and Coasian bargaining: The role of race, ethnicity, and income in lease negotiations for shale gas

Using a unique combination of datasets and estimation techniques, we test whether private lease negotiations to extract oil and natural gas exhibit features of Coasian efficiency. We demonstrate that measures of wealth (including income, house square footage, and land acreage), typically determinants of willingness to pay for environmental quality, do affect bargaining outcomes. However, race, ethnicity, and language also play important roles after conditioning upon these variables, suggesting an environmental injustice and a breakdown of efficient Coasian bargaining. We further demonstrate that failure to negotiate protections in leases leads to increased risk of future drilling violations, and that weak lease restrictions are not generally offset by strong local ordinance restrictions.

Non-flocking and flocking for the Cucker-Smale model with distributed time delays

In this paper, we study a flocking behavior that may or not appear for Cucker - Smale model with distributed time delays. For the short range communicated Cucker - Smale model, the flocking condition has strong restrictions on initial data. For this case, we mainly consider the non - flocking behavior. By establishing and appropriately estimating an inequality of the position variance such that the second order space moment is unbounded, we drive a sufficient condition for the non - existence of the asymptotic flocking when the time delays satisfy a suitable smallness assumption. Furthermore, we also provide a sufficient condition of asymptotic flocking. Finally, we present numerical simulations to validate the theoretical results.