Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional stress reduces flight performance and exploratory behavior in a butterfly

Anthropogenic global change, including agricultural intensification and climate change, poses a substantial challenge to many herbivores due to a reduced availability of feeding resources. The concomitant food stress is expected to detrimentally affect performance, amongst others in dispersal‐related traits. Thus, while dispersal is of utmost importance to escape from deteriorating habitat conditions, such conditions may negatively feedback on the ability to do so. Therefore, we here investigate the impact of larval and adult food stress on traits related to dispersal ability, including morphology, physiology, flight performance, and exploratory behavior, in a butterfly. We show that inadequate nutrition during development and in the adult stage diminishes flight performance, despite some re‐allocation of somatic resources. Detrimental effects of food stress on flight performance were mainly caused by reductions in body mass and storage reserves. Similar results were found for exploratory behavior. Furthermore, exploratory behavior was found to be (moderately) repeatable at the individual level, which might indicate the existence of a personality trait. This notion is further supported by the fact that flight performance and exploratory behavior were positively correlated, potentially suggesting the existence of a dispersal syndrome. In summary, our findings may have important implications for dispersal in natural environments, as the conditions requiring dispersal the most impair flight ability and thereby likely dispersal rates.
Computational Modeling of Cobalt-Based Water Oxidation: Current Status and Future Challenges

A lot of effort is nowadays put into the development of novel water oxidation catalysts. In this context, mechanistic studies are crucial in order to elucidate the reaction mechanisms governing this complex process, new design paradigms and strategies how to improve the stability and efficiency of those catalysts. This review is focused on recent theoretical mechanistic studies in the field of homogeneous cobalt-based water oxidation catalysts. In the first part, computational methodologies and protocols are summarized and evaluated on the basis of their applicability toward real catalytic or smaller model systems, whereby special emphasis is laid on the choice of an appropriate model system. In the second part, an overview of mechanistic studies is presented, from which conceptual guidelines are drawn on how to approach novel studies of catalysts and how to further develop the field of computational modeling of water oxidation reactions.
Patterns of usage and preferences of users for tuberculosis-related text messages and voice calls in Uganda.

BACKGROUND Little information exists about mobile phone usage or preferences for tuberculosis (TB) related health communications in Uganda. METHODS We surveyed household contacts of TB patients in urban Kampala, Uganda, and clinic patients in rural central Uganda. Questions addressed mobile phone access, usage, and preferences for TB-related communications. We collected qualitative data about messaging preferences. RESULTS We enrolled 145 contacts and 203 clinic attendees. Most contacts (58%) and clinic attendees (75%) owned a mobile phone, while 42% of contacts and 10% of clinic attendees shared one; 94% of contacts and clinic attendees knew how to receive a short messaging service (SMS) message, but only 59% of contacts aged 45 years (vs. 96% of contacts aged <45 years, P = 0.0001) did so. All contacts and 99% of clinic attendees were willing and capable of receiving personal-health communications by SMS. Among contacts, 55% preferred detailed messages disclosing test results, while 45% preferred simple messages requesting a clinic visit to disclose results. CONCLUSIONS Most urban household TB contacts and rural clinic attendees reported having access to a mobile phone and willingness to receive TB-related personal-health communications by voice call or SMS. However, frequent phone sharing and variable messaging abilities and preferences suggest a need to tailor the design and monitoring of mHealth interventions to target recipients.
Toward Non-Intuition-Based Machine Ethics

We propose a deontological approach to machine ethics that avoids some weaknesses of an intuition-based system, such as that of Anderson and Anderson. In particular, it has no need to deal with conﬂicting intuitions, and it yields a more satisfactory account of when autonomy should be respected. We begin with a “dual standpoint” theory of action that regards actions as grounded in reasons and therefore as having a conditional form that is suited to machine instructions. We then derive ethical principles based on formal properties that the reasons must exhibit to be coherent, and formulate the principles using quantiﬁed modal logic. We conclude that deontology not only provides a more satisfactory basis for machine ethics but endows the machine with an ability to explain its actions, thus contributing to transparency in AI.
Structure and dynamics of the extended‐helix state of alpha‐synuclein: Intrinsic lability of the linker region

The Parkinson's protein alpha‐synuclein binds to synaptic vesicles in vivo and adopts a highly extended helical conformation when binding to lipid vesicles in vitro. High‐resolution structural analysis of alpha‐synuclein bound to small lipid or detergent micelles revealed two helices connected by a non‐helical linker, but corresponding studies of the vesicle‐bound extended‐helix state are hampered by the size and heterogeneity of the protein‐vesicle complex. Here we employ fluorinated alcohols (FAs) to induce a highly helical aggregation‐resistant state of alpha‐synuclein in solution that resembles the vesicle‐bound extended‐helix state but is amenable to characterization using high‐resolution solution‐state NMR. Analysis of chemical shift, NOE, coupling constant, PRE and relaxation measurements shows that the lipid‐binding domain of alpha‐synuclein in FA solutions indeed adopts a single continuous helix and that the ends of this helix do not come into detectable proximity to each other. The helix is well ordered in the center, but features an increase in fast internal motions suggestive of helix fraying approaching the termini. The central region of the helix exhibits slower time scale motions that likely result from flexing of the highly anisotropic structure. Importantly, weak or missing short‐ and intermediate‐range NOEs in the region corresponding to the non‐helical linker of micelle‐bound alpha‐synuclein indicate that the helical structure in this region of the protein is intrinsically unstable. This suggests that conversion of alpha‐synuclein from the extended‐helix to the broken‐helix state represents a functionally relevant structural transition.
Regiospecific Analysis of Fatty Acids and Calculation of Triglyceride Molecular Species in Marine Fish Oils

The regiospecific distribution of fatty acids (FAs) and composition of triglyceride (TAG) molecular species of fishes were analyzed and calculated by pancreatic lipase (PL) hydrolysis and Visual Basic (VB) program. DHA was preferentially located at sn-2 position in TAG molecule, whereas EPA was almost equally distributed in each position of glycerol backbone. DOP, DPP, EPP, PoPP, PPO, and PPP were the predominant TAG species. MPP in anchovy, DDP, DOP, DPP in tuna, and EOO and OOO in salmon were the characteristic TAG molecules, which were meaningful to differentiate marine fish oils. Furthermore, the data management, according to TCN and ECN, was firstly applied to classify the TAG molecular species. The ECN42, ECN46, and ECN48 groups were rich in TAGs. The lower ECN values, compared to the higher TCN values, indicated that the most abundant TAGs exhibited a higher unsaturated degree. Therefore, our study not only offered a simple and feasible approach for the analysis of TAG composition but also firstly summarized the information by data management within ECN and TCN.
Focal changes in brain energy and phospholipid metabolism in first-episode schizophrenia

Background Membrane phospholipid and high-energy abnormalities measured with phosphorus magnetic resonance spectroscopy (31P-MRS) have been reported in patients with schizophrenia in several brain regions. Aims Using improved imaging techniques, previously inaccessible brain regions were examined in patients with first-episode schizophrenia and healthy volunteers with 4.0 T 31P-MRS. Method Brain spectra were collected in vivo from 15 patients with first-episode schizophrenia and 15 healthy volunteers from 15 cm3 effective voxels in the thalamus, cerebellum, hippocampus, anterior/posterior cingulate, prefrontal cortex and parieto-occipital cortex. Results People with first-episode schizophrenia showed increased levels of glycerophosphocholine in the anterior cingulate. Inorganic phosphate, phosphocreatine and adenosine triphosphate concentrations were also increased in the anterior cingulate in this group. Conclusions The increased phosphodiester and high-energy phosphate levels in the anterior cingulate of brains of people with first-episode schizophrenia may indicate neural overactivity in this region during the early stages of the illness, resulting in increased excitotoxic neural membrane breakdown.
Glucose Sensor Using U-Shaped Optical Fiber Probe with Gold Nanoparticles and Glucose Oxidase

In this study, we proposed a U-shaped optical fiber probe fabricated using a flame heating method. The probe was packaged in glass tube to reduce human factors during experimental testing of the probe as a glucose sensor. The U-shaped fiber probe was found to have high sensitivity in detecting the very small molecule. When the sensor was dipped in solutions with different refractive indexes, its wavelength or transmission loss changed. We used electrostatic self-assembly to bond gold nanoparticles and glucose oxidase (GOD) onto the sensor’s surface. The results over five cycles of the experiment showed that, as the glucose concentration increased, the refractive index of the sensor decreased and its spectrum wavelength shifted. The best wavelength sensitivity was 2.899 nm/%, and the linearity was 0.9771. The best transmission loss sensitivity was 5.101 dB/%, and the linearity was 0.9734. Therefore, the proposed U-shaped optical fiber probe with gold nanoparticles and GOD has good potential for use as a blood sugar sensor in the future.
Resisting Influence: How the Strength of Predispositions to Resist Control Can Change Strategies for Optimal Opinion Control in the Voter Model

In this paper, we investigate influence maximization, or optimal opinion control, in a modified version of the two-state voter dynamics in which a native state and a controlled or influenced state are accounted for. We include agent predispositions to resist influence in the form of a probability q with which agents spontaneously switch back to the native state when in the controlled state. We argue that in contrast to the original voter model, optimal control in this setting depends on q: For low strength of predispositions q, optimal control should focus on hub nodes, but for large q, optimal control can be achieved by focusing on the lowest degree nodes. We investigate this transition between hub and low-degree node control for heterogeneous undirected networks and give analytical and numerical arguments for the existence of two control regimes.
Anti–CTLA-4 therapy requires an Fc domain for efficacy

Significance Ipilimumab, an antibody that recognizes cytotoxic T lymphocyte antigen (CTLA)-4, was the first approved “checkpoint”-blocking anticancer therapy. In mice, the response to antibodies against CTLA-4 depends entirely on expression of the Fcγ receptor. We developed H11, an alpaca heavy chain-only antibody fragment against CTLA-4 that lacks an Fc portion and inhibits interactions between CTLA-4 and its ligand. By using H11 to visualize CTLA-4 expression in the whole animal, we found that accessible CTLA-4 is largely confined to the tumor; however, H11 treatment has minimal effects on antitumor responses. Installing the murine IgG2a constant region on H11 greatly enhances antitumor response. We were thus able to dissociate CTLA-4 blockade from CTLA-4–dependent receptor engagement as an explanation for the antitumor effect. Ipilimumab, a monoclonal antibody that recognizes cytotoxic T lymphocyte antigen (CTLA)-4, was the first approved “checkpoint”-blocking anticancer therapy. In mouse tumor models, the response to antibodies against CTLA-4 depends entirely on expression of the Fcγ receptor (FcγR), which may facilitate antibody-dependent cellular phagocytosis, but the contribution of simple CTLA-4 blockade remains unknown. To understand the role of CTLA-4 blockade in the complete absence of Fc-dependent functions, we developed H11, a high-affinity alpaca heavy chain-only antibody fragment (VHH) against CTLA-4. The VHH H11 lacks an Fc portion, binds monovalently to CTLA-4, and inhibits interactions between CTLA-4 and its ligand by occluding the ligand-binding motif on CTLA-4 as shown crystallographically. We used H11 to visualize CTLA-4 expression in vivo using whole-animal immuno-PET, finding that surface-accessible CTLA-4 is largely confined to the tumor microenvironment. Despite this, H11-mediated CTLA-4 blockade has minimal effects on antitumor responses. Installation of the murine IgG2a constant region on H11 dramatically enhances its antitumor response. Coadministration of the monovalent H11 VHH blocks the efficacy of a full-sized therapeutic antibody. We were thus able to demonstrate that CTLA-4–binding antibodies require an Fc domain for antitumor effect.
METABO: A new paradigm towards diabetes disease management. An innovative business model

Dealing with a chronic disease and, more specifically, with Diabetes Mellitus and other metabolic disorders, represents a great challenge for care givers, patients and the healthcare systems as their treatment requires continuous medical care and patient self management. The engagement of patients in the adoption of healthy lifestyles with a positive impact in the progression of their diseases is fundamental to avoid the appearance of chronic complications or co-morbidities. This paper presents the externalization of the health management of diabetic patients as an alternative to the current models of care for these patients that can help improve the quality of follow up and care delivery and contribute to the sustainability of the healthcare systems.
Victimization, polyvictimization, and health in Swedish adolescents

The main objective of this article was to study the relationship between the different areas of victimization (eg, sexual victimization) and psychological symptoms, taking into account the full range of victimization domains. The final aim was to contribute further evidence regarding the bias that studies that focus on just one area of victimization may be introduced into our psychological knowledge. The sample included 5,960 second-year high school students in Sweden with a mean age of 17.3 years (range =16–20 years, standard deviation =0.652), of which 49.6% were females and 50.4% males. The Juvenile Victimization Questionnaire and the Trauma Symptom Checklist for Children were used to assess victimization and psychological problems separately. The results show that a majority of adolescents have been victimized, females reported more total events and more sexual victimization and childhood maltreatment, and males were more often victims of conventional crime. The majority of victimization domains as well as the sheer number of events (polyvictimization [PV]) proved to be harmful to adolescent health, affecting females more than males. PV explained part of the health effect and had an impact on its own and in relation to each domain. This suggests the possibility that PV to a large degree explains trauma symptoms. In order to understand the psychological effects of trauma, clinicians and researchers should take into account the whole range of possible types of victimization.
Academic Facility Utilization and Survival Outcomes in Adult Head and Neck Sarcomas: An NCDB Analysis

Objectives To investigate clinicopathologic and treatment factors associated with survival in adult head and neck sarcomas in the National Cancer Database (NCDB). To analyze whether treatment settings and therapies received influence survival outcomes and to compare trends in utilization via an aggregated national data set. Study Design Prospectively gathered data. Setting NCDB. Subjects and Methods The study comprised a total of 6944 adult patients treated for a head and neck sarcoma from January 2004 to December 2013. Overall survival (OS) was the primary outcome. Results Increased age and tumor size, nodal involvement, and poorly differentiated histology had significantly reduced OS (P < .001). Angiosarcoma, malignant nerve sheath tumor, malignant fibrous histiocytoma, osteosarcoma, and rhabdomyosarcoma histologic subtypes had significantly reduced OS, while liposarcoma, chondrosarcoma, and chordoma had improved OS (P < .001). Utilization of surgical therapy was associated with improved OS, while positive surgical margins were associated with treatment at a community-based cancer program and had reduced OS (P < .001). On multivariate analysis, treatment with radiation and/or chemotherapy was not significantly associated with OS; however, primary treatment with definitive chemoradiotherapy had significantly reduced OS. Patients treated at academic/research cancer programs (n = 3874) had significantly improved 5- and 10-year OS (65% and 54%, respectively) when compared with patients treated at community-based cancer programs (n = 3027; 49% and 29%; P < .001). The percentage utilization of these programs (56% vs 44%) did not change over the study period. Conclusion For adult head and neck sarcomas, treatment at an academic/research cancer program was associated with improved survival; however, despite increasing medical specialization, the percentage utilization of these programs for this rare tumor remains constant.
A Correlation Clustering Framework for Community Detection

Graph clustering, or community detection, is the task of identifying groups of closely related objects in a large network. In this paper we introduce a new community detection framework called LambdaCC that is based on a specially weighted version of correlation clustering. A key component in our methodology is a clustering resolution parameter, lambda, which implicitly controls the size and structure of clusters formed by our framework. We show that, by increasing this parameter, our objective effectively interpolates between two different strategies in graph clustering: finding a sparse cut and forming dense subgraphs. Our methodology unifies and generalizes a number of other important clustering quality functions including modularity, sparsest cut, and cluster deletion, and places them all within the context of an optimization problem that has been well studied from the perspective of approximation algorithms. Our approach to clustering is particularly relevant in the regime of finding dense clusters, as it leads to a 2-approximation for the cluster deletion problem. We use our approach to cluster several graphs, including large collaboration networks and social networks.
Environmental Strategies of Affect Regulation and Their Associations With Subjective Well-Being

Environmental strategies of affect regulation refer to the use of natural and urban socio-physical settings in the service of regulation. We investigated the perceived use and efficacy of environmental strategies for regulation of general affect and sadness, considering them in relation to other affect regulation strategies and to subjective well-being. Participants from Australia, Finland, Germany, Great Britain, Italy, India, the Netherlands, Portugal, and Sweden (N = 507) evaluated the frequency of use and perceived efficacy of affect regulation strategies using a modified version of the Measure of Affect Regulation Styles (MARS). The internet survey also included the Satisfaction with Life Scale (SWLS), emotional well-being items from the RAND 36-Item Health Survey, and a single-item measure of perceived general health. Environmental regulation formed a separate factor of affect regulation in the exploratory structural equation models (ESEM). Although no relations of environmental strategies with emotional well-being were found, both the perceived frequency of use and efficacy of environmental strategies were positively related to perceived health. Moreover, the perceived efficacy of environmental strategies was positively related to life satisfaction in regulating sadness. The results encourage more explicit treatment of environmental strategies in research on affect regulation.
GTΔ

Given a portfolio of stocks or a series of frames in a video how do we detect significant changes in a group of values for real-time applications? In this article, we formalize the problem of sequentially detecting temporal changes in a group of stochastic processes. As a solution to this particular problem, we propose the group temporal change (GTΔ) algorithm, a simple yet effective technique for the sequential detection of significant changes in a variety of statistical properties of a group over time. Due to the flexible framework of the GTΔ algorithm, a domain expert is able to select one or more statistical properties that they are interested in monitoring. The usefulness of our proposed algorithm is also demonstrated against state-of-the-art techniques on synthetically generated data as well as on two real-world applications; a portfolio of healthcare stocks over a 20 year period and a video monitoring the activity of our Sun.
Study on Performance of PVA Fiber Reinforced Concrete Exposed for 10 Years to Seawater Spray

This paper reports the analytical and the experimental results of changes in the performance of PVA fiber reinforced concrete (FRC) exposed for 10 years to seawater spray. In this study, the specimens were FRC prisms with a corroded rebar and cracks in some areas, after having been maintained in a saline environment. In addition, a push-out test of the rebar in the specimens was conducted to examine changes in push-out load and crack width at surface in FRC. Furthermore, the salinity analysis, the measurement of initial crack widths, and the measurement of the corrosion amount of the rebar were performed. As a result of the salinity analysis, it was confirmed that the chloride ion density of the concrete increased to around 9-12 kg/m by exposure to a seawater spray environment for 10 years. As a result of the chemical analysis of short fibers, the quality of the fibers in this study had not changed after the exposure. As a result of the rebar push-out test, it was confirmed that fibers mixed into the concrete suppressed the enlarging of cracks immediately below the rebar. By this bridging effect of fiber, there was a tendency for new cracks to develop. The addition of fibers increased the load at the displacement of 2mm based on the rebar push-out test, and the load was proportional to the remaining tensile strength of FRC.