Miracle-dz/UniFAR-FTUs huggingface dataset:
Accessing seasonal weather forecasts and drought prediction information for rural households in Chirumhanzu district, Zimbabwe

Seasonal weather forecasts and drought hazard prediction through media sources and indigenous knowledge help provide an understanding of early warning systems and the preferred source information by rural households. This article focuses on the investigation of households’ access to weather forecasts and drought hazard prediction information as early warning to reduce drought risk on livelihood activities. The study was carried out in Chirumhanzu district, and the methods used for data collection included 217 household surveys, six focus group discussions, key informants’ interviews and document review. The study found that the majority of the households in the study area had access to seasonal weather forecast information (scientific), which almost half of the respondents received through radios. However, vulnerability to climate risks was exacerbated by seasonal weather forecasts, which were deemed by some households to be unreliable, inaccurate and not easily understood. In this regard, some households used indigenous knowledge to inform them on the status of the incoming rainy season and drought prediction. The use of indigenous knowledge depended on individuals’ ability to read and decode natural indicators of seasonal weather forecast and drought prediction. Indigenous knowledge is valuable for climate science as it enhances observations and interpretations on a larger spatial scale with considerable temporal depth by highlighting elements that are measured by climate science. Both scientific weather information and indigenous knowledge are important for seasonal weather forecasting and drought prediction, especially in rural settings, and complement each other if used and availed timely to households.
Persistent HIV-1 Viremia on Antiretroviral Therapy: Measurement and Mechanisms

HIV-1 viremia persists at low-levels despite clinically effective antiretroviral therapy (ART). Here we review new methods to quantify and characterize persistent viremia at the single genome level, and discuss the mechanisms of persistence including clonal expansion of infected cells and tissue origins of viremia. A deeper understanding of how viremia persists on ART is critically important to the design of therapies to eliminate viremia and achieve a functional cure for HIV-1.
Morphological and molecular barcode analysis of the medicinal tree Mimusops coriacea (A.DC.) Miq. collected in Ecuador

Background Mimusops coriacea (A.DC.) Miq. , (Sapotaceae), originated from Africa, were introduced to coastal areas in Ecuador where it is not extensively used as a traditional medicine to treat various human diseases. Different therapeutically uses of the species include: analgesic, antimicrobial, hypoglycemic, inflammation and pain relieve associated with bone and articulation-related diseases. Furthermore, Mimusops coriacea could be used as anti-oxidant agent. However, botanical, chemical or molecular barcode information related to this much used species is not available from Ecuador. In this study, morphological characterization was performed from leaves, stem and seeds. Furthermore, genetic characterization was performed using molecular barcodes for rbcL, matk, ITS1 and ITS2 using DNA extracted from leaves. Methods Macro-morphological description was performed on fresh leaves, stem and seeds. For anatomical evaluation, tissues were embedded in paraffin and transversal dissections were done following incubation with sodium hypochlorite and safranin for coloration and fixated later in glycerinated gelatin. DNA extraction was performed using a modified CTAB protocol from leaf tissues, while amplification by PCR was accomplished for the molecular barcodes rbcL, matK, ITS1 and ITS2. Sequence analysis was performed using blast in the GenBank. Phylogenetic analysis was performed with accessions queried in the GenBank belonging to the subfamily Sapotoideae. Results Leaf size was 13.56 ± 1.46 × 7.49 ± 0.65 cm; where is a macro-morphological description of the stem (see Methods). The peel of the seeds is dark brown. Sequence analysis revealed that amplicons were generated using the four barcodes selected. Phylogenetic analysis indicated that the barcodes rbcL and matK, were not discriminated between species within the same genus of the subfamily Sapotoideae. On the other hand, the ITS1 and ITS2 were discriminative at the level of genus and species of the Sapotoideae.
Self-Myofascial Release Effect With Foam Rolling on Recovery After High-Intensity Interval Training

The goal of this experiment was to assess the impact of self-myofascial massage with the aid of a foam roller on a lower limb immediately after high-intensity interval training (HIIT), using the Tabata protocol (20 s work/10 s rest, repeated 8 times), according to selected recovery variables. The method used Tabata squats (20 s of air squats/10 s of rest, repeated 8 times), after which the subject performed three series of self-myofascial massage with a foam roller on one leg, the other leg being used as the control. Biomechanical lower limb performance was assessed through a squat jump, a countermovement jump, and a hopping on the spot test. Flexibility was assessed through the active and passive range of motion at the hip, knee, and ankle. Pain was measured by recording the delay of muscle soreness (DOMS). Measurements were recorded immediately after the workout, then 24 and 48 h later. Twenty healthy males participated in the study. The results revealed no effect on jumping performance, in terms of height, leg stiffness, power or force output. Additionally, HIIT had a significant impact on muscle damage, as revealed by the reduction in performance 48 h later (−9.7% for the countermovement height). The self-myofascial release decreased DOMS by 50% for the massaged leg compared with 20% for the control leg and increased the hip range of motion by approximately 4.2% for the massaged leg in comparison with the unmassaged leg. This experiment reveals the poor effect of self-myofascial release on regaining the initial value of performance but could be useful for reducing DOMS after high-intensity interval training.
The Planning of Difficulty Curves in an Exergame for Inhibitory Control Stimulation in a School Intervention Program: A Pilot Study

Apollo & Rosetta is an Exergame developed for Inhibitory Control stimulation in Elementary School children. This works’ goal has been to demonstrate the behavior of the difficulty curves planned for seven activities (minigames) ingame, as well as their correspondence with the variables collected during a pilot neuropsychological intervention. Seven students participated in the study and played the minigames 1528 times during the 3-month intervention. Each of the minigames had a difficulty curve computed with the goal of keeping the players in the state of Flow. The curves were designed in cycles which grow throughout levels (Normal Level) to a peak (Peak Level), followed by a rest period (Rest Level). The pilot study encompassed three different analyses: (1) Exploratory performance analysis with Spearman correlation, which indicated a positive and significant general correlation between performance and level difficulty; (2) Success exploratory analysis, which showed that as the stages progressed, the success rate increased, even if the level difficulty also increased; (3) Analysis of the factors which influenced performance, through Mixed Effects Logistic Regression and the Backward method. This analysis demonstrated that the odds ratio for overcoming challenges between Normal levels was 0.71 [0.59;0.86] times lower than Rest Level (p-value = 0.000), whereas in Peak levels it was 0.62 [0.47;0.83] times lower than Rest level values (p-value = 0.001). These data confirm the overall planned behavior of the difficulty curves.
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses

Though succeeding in solving various learning tasks, most existing reinforcement learning (RL) models have failed to take into account the complexity of synaptic plasticity in the neural system. Models implementing reinforcement learning with spiking neurons involve only a single plasticity mechanism. Here, we propose a neural realistic reinforcement learning model that coordinates the plasticities of two types of synapses: stochastic and deterministic. The plasticity of the stochastic synapse is achieved by the hedonistic rule through modulating the release probability of synaptic neurotransmitter, while the plasticity of the deterministic synapse is achieved by a variant of a reward-modulated spike-timing-dependent plasticity rule through modulating the synaptic strengths. We evaluate the proposed learning model on two benchmark tasks: learning a logic gate function and the 19-state random walk problem. Experimental results show that the coordination of diverse synaptic plasticities can make the RL model learn in a rapid and stable form.
Short Term Effects of Hurricane Irma and Cyanobacterial Blooms on Ammonium Cycling Along a Freshwater–Estuarine Continuum in South Florida

Lacustrine and coastal systems are vulnerable to the increasing number and intensity of tropical storms driven by climate change. Strong winds associated with tropical storms can mobilize nutrients in sediments and alter nitrogen and phosphorus cycling, leading to amplification of preexisting conditions, such as eutrophication and cyanobacterial blooms (cyanoHABs). In 2016, Florida declared a State of Emergency within and downstream of Lake Okeechobee (LO) due to toxic cyanobacterial blooms (primarily Microcystis). The blooms originated in LO, but flood control measures released water from LO to the brackish St. Lucie Estuary (SLE). In September 2017, Hurricane Irma traversed the Florida peninsula with sustained winds exceeding 160 km h-1, generating torrential rains over the watershed. We quantified ammonium (NH4+) regeneration and potential uptake rates, and Microcystis toxin gene (mcyD) abundance in LO and SLE during the massive bloom in July 2016, the bloom in August 2017 (two weeks before Irma), and 10 days after Hurricane Irma landfall. In 2016, cyanoHABs were present in both LO and SLE, and potential NH4+ uptake rates were high in both systems. In 2017, the bloom was constrained to LO, and potential NH4+ uptake rates in LO exceeded those in SLE, and mcyD gene abundance was greater in LO than SLE. Post Hurricane Irma, potential NH4+ uptake rates decreased significantly in LO and SLE, while mcyD gene abundance decreased in LO and increased slightly in SLE. Average NH4+ regeneration rates could support 25–40% of water column potential NH4+ demand in the lake and, when extrapolated to the entire LO water column, exceeded external nitrogen loading. These results emphasize the importance of internal NH4+ recycling for bloom expansion and toxicity in the lake and downstream estuaries. In 2018, the cyanobacterial bloom in the Okeechobee region was one of the largest recorded and is presumed to be driven by the aftermath of Hurricane Irma. Large-scale blooms have also been observed in SLE, likely due to LO flushing and decreased salinity post hurricane. Thus, results from this study support predictions that increased frequency and strength of tropical storms will lead to more intense blooms in aquatic systems.
The specificity and sensitivity of the criteria used to measure VO2Max

The use of V02MAx as a measure of cardiorespiratory fitness is widespread throughout the tields of exercise physiology, physiology and medicine. V02MAX is described as the maximal rate of oxygen consumption during increasing exercise intensities and is defined by a plateau or levelling off of oxygen consumption ( Y02 ). Taylor et al. ( 1955) derived the primary criterion for a levelling off (plateau) of \t02 at the end of an incremental exercise test to exhaustion to be a change in Y02 (Avo,) <150mL or 2.1 mUkg/min during the final minute. This primary criterion has been widely accepted and utilised since 1955. Secondary criteria have also been introduced due to the difficulty in obtaining a Vo2 plateau in all subjects. The secondary criteria used to verify that V02MAX has been attained include I) blood lactate (La) >8mmol/L, a respiratory exchange ratio (RER) >1.15, a rating of perceived exertion (RPE) > 17, and an age-predicted maximal heart rate (APMHR) ±10 beats/min from predicted using 220-age. Despite the use of such secondary criteria, none of these items have been adequately assessed for their sensitivity or specificity for coinciding with a Vo2 plateau at Vou . 1Ax. 64 male and female subjects drawn from university sports science students and local triathalon and running clubs, between 18 and 55 years of age, performed two randomly assigned tests held on separate days. All participants completed a VO,MAx test for each of cycle ergometry (CE) and treadmill (TM) running. During each test, breath-by-breath indirect calorimetry was performed to derive data of minute ventilation ( VE ), oxygen consumption ( vo, ), carbon dioxide production ( VCQ, ), and RER. Heart rate (HR) captured data was acquired by telemetry, ratings of perceived exertion (RPE) were obtained at peak exercise intensity, and finger-prick blood lactate (La) samples were taken at 30 seconds and 120 seconds post-exercise. All V02 data was processed using a 3 breath smoothing function. Limitations of time restricted the enzymatic analysis of La samples :. md
Rapid Assessment of Roadsides as Potential Habitat for Monarchs and Other Pollinators

Sustaining native pollinator populations and reversing declines in species such as the monarch butterfly (Danaus plexippus) will require enhancing and maintaining habitats across many regions and land use sectors. Rights-of-way, such as the areas surrounding roads, have long been regarded as important habitat for pollinators due to their ubiquitous nature and management for herbaceous species including nectar plants and larval host plants. With better information regarding the quality of pollinator habitat in roadside rights-of-way, managers can identify the location of potential habitat and evaluate the effects of management activities. We conducted a survey of roadside managers to determine needs and limitations related to assessing and managing rights-of-way as monarch habitat. Survey results indicated that managers are often limited by time, funding, and expertise in plant identification. Based on survey results and consultations with roadside managers, we developed a protocol for rapid assessment of roadside rights-of-way (hereafter, Rapid Assessment) that can be easily implemented by managers and is flexible based on the expertise of the observer and the data needs of the roadside management authority. Using readily available software, the field data are automatically processed through a Roadside Monarch Habitat Evaluator to generate habitat quality scores that may be used by managers to describe the habitat resources and to inform management strategies. We field-tested the protocol at roadsides in Minnesota and compared results with a more intensive protocol for monarch habitat monitoring (the Integrated Monarch Monitoring Program). We found that the Rapid Assessment provided similar data as the more intensive protocol regarding milkweed densities, nectar plant species richness, and monarch use of sites (eggs and larvae, when detection levels were sufficient). Observed high habitat values in roadside rights-of-way confirm the potential of such habitat for pollinator and monarch conservation.
Against Theory: With Apologies to Feyerabend

This essay explores the fixation the field of information systems has with “theory” and my frustration with this focus, examining where this theory focus came from, why it has been so widely adopted, and how it has led to dysfunction. It also offers some recommended action items that the field can take to redirect its efforts in order to become more relevant, resilient, and resourceful. These actions include, broadening the aperture of what legitimate IS research should include, imploring journal editors to change the way “applied” research is handled, bringing back books as an accepted and valued publication outlet, and moving the field in the direction of engagement.
A Semantic Approach for Outlier Detection in Big Data Streams

In recent years, the world faced a big revolution in data generation and collection technologies. The volume, velocity and veracity of data have changed drastically and led to new types of challenges related to data analysis, modeling and prediction. One of the key challenges is related to the semantic analysis of textual data especially in big data streams settings. The existing solutions focus on either topic analysis or the sentiment analysis. Moreover, the semantic outlier detection over data streams as one of the key problems in data mining and data analysis fields has less focus. In this paper, we introduce a new concept of semantic outlier through which the topic of the textual data is considered as the primary content of the data stream while the sentiment is considered as the context in which the data has been generated and affected. Also, we propose a framework for semantic outlier detection in big data streams which incorporates the contextual detection concepts. The advantage of the proposed concept is that it incorporates both topic and sentiment analysis into one single process; while at the same time the framework enables the implementation of different algorithms and approaches for semantic analysis.
Scholarly Commentaries on Hirschheim’s “Against Theory”

This paper presents seven scholarly commentaries on Hirschheim’s “Against Theory” essay published in this issue of the Journal of the Association for Information Systems . Each commentary is written by a renowned IS researcher. Following the individual commentaries is Hirschheim’s response to the commentaries. Each commentary provides an insightful exegesis on theory in its own right and, collectively, the commentaries and response provide thought-provoking reflections for researchers in IS and beyond.
Modelling the information practices of music fans living in Medellín, Colombia

Introduction. Previous studies on music information behaviour have focused on describing all the different activities used when interacting with music. However, a general picture of this behaviour has yet to emerge. The purpose of this research is to model the information behaviour of music fans through the perspective of social practice theory. Method. Qualitative method was employed, using in-depth interviews and the observation of participants' homes and practices. Eighteen music fans with diverse socio-demographic characteristics living in Medellín, Colombia, participated in the research. Analysis. Qualitative deductive analysis was performed using a tree of categories extracted from a conceptual framework. Categories were assigned to the data, and then compared and contrasted. Results. Information activities that comprise practices are presented as existing within continuums from active behaviour to passive behaviour. Factors that affect and influence practices are presented in four groups: personal benefits, social benefits, extrinsic conditions and worldview. A model for music information practices that integrates all these elements is presented as the main result from this study. Conclusions. This research contributes to the ongoing discussion about music information behaviour, presenting a model that describes an information practice which has the potential to describe other types of information behaviour.
Sample Essentiality and Its Application to Modeling Attacks on Arbiter PUFs

Physically Unclonable Functions (PUFs), as an alternative hardware-based security method, have been challenged by some modeling attacks. As is known to all, samples are significant in modeling attacks on PUFs, and thus, some efforts have been made to expand sample sets therein to improve modeling attacks. A closer examination, however, reveals that not all samples contribute to modeling attacks equally. Therefore, in this article, we introduce the concept of sample essentiality for describing the contribution of a sample in modeling attacks and point out that any sample without sample essentiality cannot enhance some modeling attacks on PUFs. As a by-product, we find theoretically and empirically that the samples expanded by the procedures proposed by Chatterjee et al. do not satisfy our sample essentiality. Furthermore, we propose the notion of essential sample sets for datasets and discuss its basic properties. Finally, we demonstrate that our results about sample essentiality can be used to reduce samples efficiently and benefit sample selection in modeling attacks on arbiter PUFs.
Pupae of the mega-diverse rove beetle tribe Staphylinini (Coleoptera, Staphylinidae): their traits and systematic significance

Abstract This paper is the first comprehensive work on the pupae of Staphylinidae. It is the first-ever attempt to employ the morphological characters of these pupae in phylogenetic analysis. The study shows that the external structures of Staphylinini pupae could be a useful, alternative source for assessing the relationships of certain taxa within a tribe. The paper also includes an illustrated key to the identification of pupae at the subtribe and generic levels (Abemus, Acylophorus, Astrapaeus, Atanygnathus, Bisnius, Creophilus, Emus, Erichsonius, Gabrius, Hesperus, Heterothops, Neobisnius, Ocypus, Ontholestes, Philonthus, Quedius, Quedionuchus, Rabigus, Staphylinus, and Tasgius) of the tribe Staphylinini, found in Europe. Based on current knowledge of the morphology of pupal stages of Staphylinini species, eight morphological pupal types are presented: Acylophorus, Astrapaeus, Atanygnathus, Erichsonius, Heterothops, Philonthus, Quedius and Staphylinus. The paper also comments on pupal habitat, phenology and morphology in the context of antipredator and environmental adaptations.
Rapid induction of the heat hardening response in an Arctic insect

The ability to cope with increasing and more variable temperatures, due to predicted climate changes, through plastic and/or evolutionary responses will be crucial for the persistence of Arctic species. Here, we investigate plasticity of heat tolerance of the Greenlandic seed bug Nysius groenlandicus, which inhabits areas with widely fluctuating temperatures. We test the heat tolerance and hardening capacity (plasticity) of N. groenlandicus using both static (heat knock down time, HKDT) and dynamic (critical thermal maximum, CTmax) assays. We find that N. groenlandicus is able to tolerate short-term exposure to temperatures up to almost 50°C and that it can quickly increase heat resistance following heat hardening. Furthermore, we find that this hardening response is reversible within hours after hardening. These findings contrast with common observations from temperate and tropical insects and suggest high thermal plasticity in some Arctic insects which enables them to cope with extreme temperature variability in their habitats.
Data Structure for Multimodal Signal Processing

The report discusses the creation of software for pre-processing of images and audio signals based on a concrete model for clustering of signal elements. A uniform signal representation by means of a linearly ordered multiset of samples, e.g. image pixels or samples of audio signal, is proposed. The general scheme of calculations is given. The basic requirements for the data organization are specified. The implementation of the general scheme and data organization in terms of dynamic algebraic network is treated. The features of a tree-structured data organization supporting hierarchical sample clustering are explained. The basic algorithms are described. The research results are compared with known approaches.