Miracle-dz/UniFAR-FTUs huggingface dataset:
Off-Line Data Validation for Water Network Modeling Studies

The success of the analysis and design of a Water Network (WN) is strongly dependent on the veracity of the data and a priori knowledge used in the model calibration of the network. This fact motivates this paper in which an off-line approach to verify datasets acquired from WN is proposed. This approach allows the data separation of abnormal and normal events without requiring high expertise for a large raw database. The core of the approach is an unsupervised classification tool that does not require the features of the different events to be identified. The proposal is applied to datasets acquired from a Mexican water management utility located in the center part of Mexico. The datasets are pre-processed to be synchronized since they were recorded and sent with different and irregular sampling times to a web platform. The pressures and flow-rate conforming the datasets correspond to the dates between 25 June 2019 @ 00:00 and 25 September 2019 @ 00:00. The District Metered Area (DMA) is formed by 90 nodes and 78 pipes, and it provides service to approximately 2000 consumers. The raw data identified as generated by abnormal events are validated with the reports of the DMA managers. The abnormal events identified are communication problems, sensor failures, and draining of the network reservoir.
Morphological comparison between Doryteuthis pleii and D. sanpaulensis (Cephalopoda, Myopsida, Loliginidae) from Brazil

The distinction of squid species in the genus Doryteuthis is not easy due to their morphological similarity, lack of conspicuous specific characters, and overlap geographical occurrence. This difficulty has leading to an almost exclusive molecular approach, and a premature neglect of the morpho-anatomy. To emphasize that the squid phenotypic features can be useful to identify, as well as to perform any comparative analyses (such as taxonomy and phylogeny), two close species were selected as outset. Doryteuthis pleii and D. sanpaulensis are common sympatric squids in Brazilian waters, commonly used in fisheries, not so difficult to distinguish by external features of the adult specimens. The samples were analyzed from biometric data to dissections, and the found most expressive characters to distinguish them are the mantle-fin ratio; morphology of the tentacle club, its ratio compared to the mantle length; hectocotylus morphology and nidamental gland morphology. Key-Words. Anatomy; Characters; Squid; Sympatric; Taxonomy.
Understanding variation in the clinical quality of primary care: a typology of general practice organisations

Introduction The presented research sought to understand variation in the clinical quality of general practice. Methods Clinical quality indicators relating to Cardiovascular Disease and Diabetes were analysed in general practices in Sandwell and the Black Country. General practices showing unusually high or low performance across indicators were identified. Semi-structured interviews were then conducted with practice staff to explore reasons for variation. Results Differences emerged between practices' leadership, culture, care systems and approaches to quality measurement and improvement. General practices were categorised into four types within a newly developed typology of general practice organisations: "biomedical", "holistic", "corporate" and "externally reactive", where there was some evidence that practice type influenced variation. Discussion Variation in general practice clinical quality appeared linked to differences staff held in their views of what constitutes quality in general practice, as explained through the practice typology, with an implied trade-off between achievement of different quality priorities. The research is limited by the study population, specified disease focus and quality measures adopted to examine variation. However, the results highlight the importance of moving to a shared definition of quality in general practice which may influence the measurement and understanding of variation in this setting and the developed practice typology.
A soundscape assessment of the Sasso Fratino Integral Nature Reserve in the Central Apennines, Italy

ABSTRACT Ecoacoustics investigates natural and anthropogenic sounds and their relationship with the environment. It is a powerful tool for biodiversity monitoring, management and conservation and also with regards to the global climate change issue. This study, based on data collected in 2017, describes for the first time the soundscape of the Sasso Fratino Integral Nature Reserve (INR) in Italy, an area characterised by the almost absence of anthropogenic noise, where we selected three recording sites within and adjacent the reserve. We adopted a double approach: one qualitative, based on visual screening of compact daily spectrograms; the other quantitative, by generating acoustic indices. In general, all sites are characterised by quiet nights and very acoustically dense daylight hours, with a composite biophony occupying the range 1500–9000 Hz. Moreover, the principal component analysis shows that the sites inside and outside the reserve are well differentiated and distinctly clustered, which could be due to their spatial heterogeneity and to the biophony’s different contributions. In this case, our results agree with the recognition of sonic patterns, or sonotopes, related to the different overlapping of biotic and abiotic sonic agents. The long-term acoustic data collection allows a reference repository to be built for monitoring the INR’s biophony status and evolution: as any human presence or intervention is currently prohibited, only external global changes could be considered as possible factors influencing any shift in the species’ presence and distribution inside the reserve.
Monitoring Cattle Grazing Behavior and Intrusion Using Global Positioning System and Virtual Fencing

The inadaptability of the frightening devices to the behavioral-change exhibited by grazing animals has been a great challenge in developing animal detection and recognition system that can prevent animal intrusion to a prohibited area. Animal distribution is something that is challenging and that does not have an immediate answer to. In fact, literature shows that just in the last few years, more than 68 different strategies have been used trying to affect animal distribution. These include putting a fence in, developing drinking water in a new location, putting supplemental feed at different locations, changing the times feed is put out, putting in artificial shade so that animals would move to that location, using identification means such as ear tags, radio frequency identification, tattooing, marking, branding, and biometrics. There are a host of frightening strategies that have been used to scare animals from intruding prohibited area; these include installing frightening devices such as explosive materials, acoustics and bioacoustics gadgets, and so on. Moreover, they all work under certain conditions; some of them work even better when they are used synergistically. Sooner or later, these animals become accustomed to most of the frightening techniques put in place to prevent them from going beyond their boundaries or intruding the prohibited area. Virtual fencing (VF) and global positioning system (GPS) are the recent technology developed to handle the challenges that come with animal grazing behavior. Recent advances in GPS and VF technology have allowed the development of free-range and lightweight GPS collar tools suitable for monitoring animal behavioral changes.
Evaluating the distributional impacts of drought-tolerant maize varieties on productivity and welfare outcomes: an instrumental variable quantile treatment effects approach

ABSTRACT In an attempt to go beyond the conventional mean impact assessment of agricultural interventions, this paper examines the distributional impacts of adoption of drought-tolerant maize varieties (DTMVs) on the productivity and welfare outcomes of rural farming households in Nigeria. The study employed a conditional instrumental variable quantile treatment effects approach to control for selection bias that may arise from both observed and unobserved factors. The empirical findings revealed that adoption significantly impacts the distributions of maize yield and farming households’ welfare. In particular, the effects of adoption are larger at the lower tails of the distributions of yield and welfare outcomes, suggesting that the strategic roles of DTMVs adoption in raising productivity and reducing poverty are better among poor farming households. These findings emphasize that effective targeting and dissemination of improved agricultural technologies are critical for increasing maize yield and improving welfare outcomes of rural farmers in Nigeria. Policy measures targeted at tackling dissemination constraints, such as the promotion of informal seed sector, may help enhance the successful dissemination and adoption of DTMVs or any agricultural intervention without masking out any sub-groups.
Evaluation of hydrocarbon broaching after subsurface containment failure, Gulf of Mexico

Broaching refers to the release of hydrocarbons at the seafloor after a loss of subsurface well containment. An underground blowout may allow migration of fluids upward through adjacent formations or the annulus to the seafloor. After the BP 001 Macondo well was capped, an oil slick was observed near the well. Available data were interpreted to determine if the slick was reservoir fluid broaching the seafloor or if it was a natural seep in the Gulf of Mexico. The experience revealed that no basis existed for estimating subsurface broach rates or how a potential to broach should be considered during well permitting decisions. Lawrence Berkeley National Laboratory (LBNL) modeled two broaching failure scenarios selected by the Bureau of Ocean Energy Management (BOEM) and representative of Gulf geosystems. Geoscientists from BOEM provided reservoir parameters and interpreted geologic surfaces from depth-migrated three-dimensional seismic volumes. The LBNL adapted existing supercomputing capabilities to model the traveltime for formation fluids to reach the seafloor after subsurface containment failure. The most sensitive parameters affecting traveltime are the mixture of formation fluids and the permeability of the geologic media through which it passes. Assuming nondepletion of reservoir pressure, gas-prone multiphase fluids may broach within a matter of decades. Wet oil and oil-prone multiphase fluids are slower by one to three orders of magnitude. The likelihood for the modeled systems to broach was mainly dependent on casing failure depth. The BOEM concluded that casing failures greater than 7500 ft (>2280 m) below mudline (seafloor) will not broach within a 6-month time frame of regulatory concern.
Understanding the Predictors of Posttraumatic Growth Among Those With a History of a Reproductive Trauma

Pregnancy loss, from early miscarriage through full-term stillbirth, is a problem that affects a significant percentage of child bearing women. Such a loss can lead to varied negative psychological outcomes such as depression, anxiety, PTSD, and other adjustment disorders. Posttraumatic growth, the ability to make meaning through the processing of a trauma, is a concept that, while well researched among other trauma populations, has barely been considered in relation to pregnancy loss. This study examined posttraumatic growth among 103 women who had experienced a pregnancy loss. Using a hierarchical regression it examined the role that perinatal grief, family processes, hope, and coping styles uniquely play in predicting posttraumatic growth. Results supported the idea that a significant amount of such women do experience posttraumatic growth. Other than hope, all variables uniquely predicted posttraumatic growth. It is recommended that clinicians consider including posttraumatic growth as a therapeutic goal when working with women who have experienced a pregnancy loss.
Influence of Supply Chain Integration, IT Practices and Visibility on Modular Design and Supply Chain Agility, supported Maritime and Tourism Business in Indonesia

Present study aims to examine the relationship between supply chain integration, and IT capability on the supply chain agility in the banking sector of Indonesia, support Maritime and Tourism Business. Moreover, impact of supply chain visibility is examined on supply chain modular design and supply chain agility. The current research aims to analyse the nature of relationships among latent variables; therefore, this study chose the latent analysis technique for investigating these relationships. Statistical Package for Social Sciences (SPSS) and Partial Least Squares Structural Equation Modelling (PLS-SEM) were employed to describe the data and the relationship among variables, respectively. The p-values in the result show that all the under-study variables show significant results while the result of relationship between IT practices and supply chain agility is insignificant. The study provides a comprehensive framework in context of supply chain agility and supplier’s modular design. The literature fills the theoretical gap in existing literature and join the supply chain integration and IT practices with supply chain agility and connects supply chain visibility with supplier’s modular design. This study is helpful for the policy makers of the banking sector of Indonesia in strategizing the ways to impact the agility in their supply chain process.
Psychometric Properties of Physical Function Measures Used in the Intensive Care Unit: A Systematic Review

Background: A comprehensive physical function outcome measure provides information that assists and guides the therapist in developing a plan of care and in decision making for disposition. Since physical therapists are held accountable for using evidence-based practice, the use of measures appropriate to their settings is paramount in providing those skilled recommendations. Objective: The purpose of this systematic review was to appraise and synthesize psychometric properties of outcome measures used in the intensive care unit that assess physical function and to identify gaps in those psychometric properties and their overall assessment of function. Methods: Eight electronic databases were systematically searched. Studies were considered eligible if (1) the setting was adult intensive care unit (ICU), (2) the measure was a physical functional measure, (3) psychometric properties were reported, (4) written in English, and (5) published in a peer-reviewed journal. The initial search was conducted by a single reviewer and then 2 reviewers independently reviewed the articles to score them according to the COnsensus-based Standards for the selection of health Measurements INstruments. Results: Review of the 34 articles revealed 14 physical function measures that had psychometric testing completed in the ICU setting. The Chelsea Critical Care Physical Assessment tool, Perme mobility score, De-Morton Mobility Index, Functional Status Score for the ICU, and Acute Care Index of Function are the most comprehensive. However, none of these measures examine all aspects of physical function. COnsensus-based Standards for the selection of health Measurements INstruments scores for these measures were classified in the range of poor to fair with few obtaining a score of good or excellent. Limitations: The limitations are sole inclusion of English articles and the exclusion of abstracts, conference presentations, thesis, or dissertation papers. Conclusion: This study identified 14 physical function measures currently in use, with psychometric testing available within the ICU setting. More testing is needed on many of these measures to further validate their use. The current lack of a clearly comprehensive outcome measure tool limits the validity and reliability of assessment and guidance for appropriate recommendations.
A Self-Packaged Power Divider With Compact Size and Low Loss

This brief presents a self-packaged spiral shape power divider (SSPD) using substrate integrated suspended line (SISL). The two output paths are designed to form mutually coupled spiral shape, and the isolation resistor is placed at the center of the spiral to reduce the circuit area. By properly increasing the coupling, short total electrical length can be obtained. SISL is adopted for low loss and self-packaging. The suspended substrate is patterned to further reduce the dielectric loss. The even-/odd- mode method is used to analyze this circuit, and the design equations are derived. A SISL SSPD with patterned substrate works at 2.5 GHz is implemented for verification. In a wide fractional bandwidth (FBW) of 55%, the measured return loss and two output ports isolation are both better than 15 dB, while the SSPD with patterned substrate achieves 0.06 dB insertion loss at the center frequency.
A review of geometric sensitivities in laser metal 3D printing

ABSTRACT This paper examines the relationships in laser metal additive manufacturing between part geometry and as-built part quality, including residual stresses, deformations, process induced porosity, surface roughness, and microstructural variations. A comprehensive review of these defects and their relationships with the geometric features are provided along with a brief discussion of the involved physical phenomena. Specific design guidelines are also provided to facilitate a more robust design for structural applications. This review further highlights the need to pursue the development of design methodologies, including automated topology, shape, and sizing optimisation methods, that help derives an optimal design tailored for these process-induced quality considerations in laser metal additive manufacturing that affect structural performance.
Believe It or Not: The Effect of Involvement on the Credibility of Image Transfer through co-Branding

Abstract This paper aims to study the effect of customer involvement on the perceived credibility of association reinforcement through co-branding. Two propositions were developed which were tested in a case of co-branding between Fastron and Lamborghini. The authors measured the credibility of the reinforcement of three associations on Fastron, namely high quality, premium product, and high-speed use. Input from 414 respondents was collated through online and offline surveys. The discussion was enriched by an elaboration of association networks relating to Fastron, Pertamina (the parent company of Fastron), and Lamborghini, from the perspective of respondents. Results show that high involvement users tended to combine both salient and non-salient information regarding the three brands. Such individuals were also influenced by the strong adjacency between Fastron and Pertamina, consequently expressing doubt that Fastron is associated with the three attributes. In contrast, low involvement customers paid no attention to non-salient information. Rather, they accepted the newly formed Fastron/Lamborghini adjacency, culminating in their conviction that Fastron demonstrated all three attributes. In addition, research results suggest that country of origin and country image effect lead to unsuccessful associations of brand images on high involvement customers, due to unmatched saliencies between brands detained by each in consumers’ minds.
Crystal structure of 1-propanethiol–Co2(dobdc) from laboratory X-ray powder diffraction data

Laboratory X-ray powder diffraction was used to solve and refine the crystal structures of appended guest molecules within the pores of metal–organic frameworks (MOFs). Herein, we report the crystal structure of 1-propanethiol adsorbed in the pores of Co2(dobdc) (dobdc4– = 2,5-dioxido-1,4-benzenedicarboxylate, MOF-74). Soaking the activated MOF in neat 1-propanethiol resulted in the formation of 1-propanethiol–Co2(dobdc). The thiol appendant MOF maintained the crystal symmetry, with a rhombohedral space group R-3 and unit-cell parameters a = 25.9597(9) Å, c = 6.8623(5) Å, and V = 4005.0(4) Å3. As expected, the thiol sulfur formed a bond with the open cobalt metal site. The alkane chain was directed toward the center of the pore, participating in numerous van der Waals weak interactions with neighboring molecules. For the final Rietveld refinement, soft restrains were applied using bond distances obtained by periodic density functional theory (DFT) geometry optimization.
Exponential Stability of Delayed Generalized Neural Networks With Intermittent Large-Delay Periods

This article investigates the exponential stability of generalized neural networks (GNNs) with a time-varying delay. Different from the literatures on the similar topic, the considered time delay contains a few intermittent large-delay periods (LDPs). A new approach is proposed to determine how frequent and how long the LDPs are allowed for guaranteeing the exponential stability by using switching techniques. The GNN is first modeled as a switched time-delay system which may include an unstable subsystem. Then, based on a novel Lyapunov–Krasovskii functional with LDP-based terms, a delay-dependent exponential stability criterion and associated evaluation algorithm are developed. Finally, two numerical examples are provided to show the effectiveness of the proposed method.
Bacteriological Profile and Antimicrobial Resistance of Blood Culture Isolates from a University Hospital

Abstract Context: Blood stream infections are an important cause of mortality and morbidity and are among the most common health-careassociated infections. Illness associated with blood stream infection ranges from self-limiting infections to life-threatening sepsisthat require rapid and aggressive antimicrobial treatment.Aims: The objective of the study was to describe the pattern of bacterial isolates from the blood cultures in a university hospital anddetermine their antibiotic resistance, so that the study can provide guidelines for choosing an effective antibiotic therapy in casesof septicaemia.Settings and design: This is a retrospective study of 2,400 blood samples collected from clinically suspected cases of bacteraemiareviewed over a period of 2 years.Methods and material: The isolates were identified by standard biochemical tests and antimicrobial susceptibility testing determinedby National Committee for Clinical Laboratory Standards (NCCLS) guidelines.Results: Positive cultures were obtained in 493 (20.5%) cases. Among culture positive isolates, Gram-negative bacteria accountedfor 67.5% cases; most common being Pseudomonas spp. (16%) followed by Salmonella typhi and S. paratyphi A (14.2%). Of thepathogenic Gram-positive isolates, Staphylococcus aureus (8.3%) was the predominant isolate followed by Enterococcus faecalis(3.7%). Maximum Gram-negative isolates were sensitive to cefoperazone-sulbactam combination (81%). Vancomycin sensitivitywas reported in 100% Staph. aureus and 83.3% Enterococcus faecalis.Conclusions: This study provides information on antibiotic resistance of blood isolates. It may be a useful guide for physiciansinitiating empiric therapy and will help in formulation of antibiotic therapy strategy in this part of the country.Key words: Septicaemia, Bacteraemia, Antibiotic resistance, Blood culture.
SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases

Semantic parsing transforms a natural language question into a formal query over a knowledge base. Many existing methods rely on syntactic parsing like dependencies. However, the accuracy of producing such expressive formalisms is not satisfying on long complex questions. In this paper, we propose a novel skeleton grammar to represent the high-level structure of a complex question. This dedicated coarse-grained formalism with a BERT-based parsing algorithm helps to improve the accuracy of the downstream fine-grained semantic parsing. Besides, to align the structure of a question with the structure of a knowledge base, our multi-strategy method combines sentence-level and word-level semantics. Our approach shows promising performance on several datasets.