jimnoneill/paper-to-field-training huggingface dataset:
P4‐348: Frequency‐Dependent Changes in the Amplitude of Low‐Frequency Fluctuations in Mild Cognitive Impairment with Depression

Field: Neuroscience (Life Sciences)

Depression has been considered as a potential clinical marker of preclinical AD that identifying individuals with MCI who are most likely to progress to AD. However, little is known about functional characteristics using amplitude of low-frequency fluctuation (ALFF) analysis and fractional amplitude of low-frequency fluctuation (fALFF) analysis in MCI patients with concomitant depressive symptoms (MCI-d). We conducted this fMRI study to examine whether there were abnormalities in amplitudes of low-frequency oscillation of patients with MCI combined depression. The ALFF and fALFF within three frequency bands (full frequency: 0.01-0.1Hz, slow-5: 0.01–0.027 Hz, slow-4: 0.027–0.073 Hz) were computed using resting-state fMRI data of 27 mild cognitive impairment (MCI) without depression symptoms, 19 MCI-d and 32 well-matched cognitive normal controls. Analysis of covariance was performed on ALFF and fALFF within the frequency bands of full frequency, slow-4 and slow-5. We found that several brain regions showed significant differences in ALFF/fALFF within full frequency, slow-4 and slow-5 bands among the MCI, MCI-d patients and normal controls. Importantly, ROC analysis revealed that the ALFF values in the left parahippocampal gyrus, the left precuneus and the left inferior frontal gyrus could serve as a marker to effectively differentiate MCI-d from MCI. Our results suggest that the alterations of LFO amplitudes in specific brain regions in MCI-d patients could be more sensitively detected in ALFF rather than fALFF. The affective network and the DMN might be damaged simultaneously in MCI-d patients.
On the synthesis of 3,4‐dihydro‐2H‐1,2‐benzothiazine 1,1‐dioxides

Field: Chemistry (Physical Sciences)

Abstract The 3,4‐dihydro‐2 H ‐1,2‐benzothiazine 1,1‐dioxides were prepared by reduction of the corresponding 1,2‐benzothiazin‐2‐ones with diborane. The latter were obtained by the action of primary amines on 4,5‐dimethoxy‐2‐carbomethoxymethylbenzenesulfonyl chloride followed by basic hydrolysis and cyclization of the formed 4,5‐dimethoxy‐2‐carbomethoxymethylbenezenesulfonamides.
Areal Seismic CDP Reflection Method on Site with Strong Structural Dip of Reflector. The Example of Engineering Survey for Main Gas Pipeline Design

Field: Earth and Planetary Sciences (Physical Sciences)

Summary The results of areal CDP reflection method survey are described in the present work. Survey data was obtained at the Russkiy island norh-west coast. The present proceedings contain the examples of CSP ensembles corresponding to varying depth of rock foundation. CSP reflection hyperbolas are strongly shifted because of significant dip angle (up to 30 degrees). Rock foundation position at the survey location was discovered in the present work.
Classification of underwater broadband bio-acoustics using spectro-temporal features

Field: Computer Science (Physical Sciences)

Large scale freshwater monitoring networks can passively capture sound for species detection or classification. The sheer volume of acoustic recordings in such systems requires in-network classification. Most of the recent work on bio-acoustic in-network classification targets narrowband or short-durations signals, which renders it unsuitable for classifying species that emit broadband short-duration signals. This paper proposes a method for broadband sound based classification for large scale aquatic monitoring networks. The method is based on the extraction of a small set of spectral and temporal features. We collect empirical fish sounds, using the case study of the spotted tilapia (Tilapia mariae) which is an invasive freshwater fish species in Australia, and extract spectral and temporal features with our method. We then evaluate the classification accuracy and precision of these features for detecting tilapia sounds against the performance of existing narrowband sound features. The results show that using logistic regression with our limited feature set yields the best performance. Surprisingly, performance slightly improves when we downsample the signal from 44.1 to 16 kHz, indicating that our method is well-suited for classification on embedded devices. We quantify the computational benefits of our approach for enabling broader long-term in-situ species tracking in underwater environments.
Tracing the Evolution of Collaborative Virtual Research Environments: A Critical Events-Based Perspective

Field: Social Sciences (Social Sciences)

A significant number of scientific projects pursuing large scale, complex investigations involve dispersed research teams, which conduct a large part or their work virtually. Virtual Research Environments (VREs), cyberinfrastructure that facilitates coordinated activities amongst dispersed scientists, thus provide a rich context to study organizational evolution. Due to the constantly evolving nature of technologies, it is important to understand how teams of scientists, system developers, and managers respond to critical incidents. Critical events are organizational situations that trigger strategic decision making to adjust structure or redirect processes in order to maintain balance or improve an already functioning system. This study examines two prominent VREs: The United States Virtual Astronomical Observatory (US-VAO) and the HathiTrust Research Center (HTRC) in order to understand how these environments evolve through critical events and strategic choices. Communication perspectives lend themselves well to a study of VRE development and evolution because of the central role occupied by communication technologies in both the functionality and management of VREs. Using the grounded theory approach, this study uses organizational reports to trace how critical events and their resulting strategic choices shape these organizations over time. The study also explores how disciplinary demands influence critical events.
Hamaker Constants for Bionano Interactions in Water

Field: Materials Science (Physical Sciences)

&lt;p&gt;Hamaker constants based on force field parameters for: 1) metal-metal interaction (about 50 metals); metal-water interaction; metal-biomolecule (amino acid &amp; lipid fragments) in water 2) metal oxide-metal oxide interaction (about 20 metal oxides); metal oxide-water interaction; metal oxide-biomolecule (amino acid &amp; lipid fragments) in water 3) carbon material-carbon material (about 50 carbon materials); carbon material-water interaction; carbon material-biomolecule (amino acid &amp; lipid fragments) in water.&lt;/p&gt;
Non-linear estimation in bearings only tracking of manoeuvring targets

Field: Computer Science (Physical Sciences)

The problem investigated concerns the estimation of the parameters which describe the motion of a target vehicle when given bearing measurements from a moving observer vehicle. The target vehicle is assumed to be capable of abrupt changes in its heading, of an unknown magnitude, and occurring at unknown times. The target states are not directly observable from a sequence of noisy measurements and an observer manoeuvre is required in order to achieve a unique solution. This combination of a delayed observability, non-linear parameter estimation and an abruptly changing system, makes the bearings-only tracking problem particularly troublesome. In this type of non-linear filtering problem a suitable formulation can be difficult to design. The author has developed an adaptive Gaussian sum technique which 'manages' the filter bank and prevents the computational burden from becoming excessive whilst achieving the desired tracking ability. It should be noted that because of the range/manoeuvre ambiguity which occurs in this application, methods which employ 'moving banks' are inappropriate since they assume a unimodal pdf for tau . >
The SAG1Toxoplasma gondiiSurface Protein Is Not Required for Acute Ocular Toxoplasmosis in Mice

Field: Medicine (Health Sciences)

ABSTRACT The SAG1 Toxoplasma gondii surface protein stimulates acute ileitis. To determine whether SAG1 is also important in the eye, wild-type or SAG1 knockout parasites were injected intravitreally into mice. No differences in retinal damage or parasite growth were observed, indicating that unlike the case for the intestine, factors besides SAG1 are important for retinal damage.
Analysis of the quota system

Field: Economics, Econometrics and Finance (Social Sciences)

Economic development and increased affluence leads to a growth in vehicle ownership which in turn usually produces the unwelcome effects of traffic congestion. The Select Committee on Land Transportation Policy thus proposed the implementation of a Vehicle Quota System (VQS), where car owners have to bid for a “Certificate of Entitlement” (COE), the supply of which is controlled by the Government, in order to own a car. The system was instituted in May 1990.
Epidemiology and Molecular Detection of Tick‐Borne Rickettsiae in Hyalomma and Rhipicephalus Ticks Infesting Dogs and Sheep in Pakistan

Field: Immunology and Microbiology (Life Sciences)

ABSTRACT Background Tick‐borne rickettsiae present significant health risks to both humans and animals globally. However, the epidemiology of rickettsial pathogens in Pakistan remains largely unexplored. Objective This study aimed to investigate the epidemiology and molecular detection of tick‐borne Rickettsia in Hyalomma and Rhipicephalus ticks infesting dogs and sheep in Pakistan. Methods A total of 810 ticks were collected from six geographical locations in Khyber Pakhtunkhwa. Morphological and molecular identification classified the ticks as Rhipicephalus linnaei , Hyalomma dromedarii , Hyalomma scupense and Hyalomma isaaci , with Rh. linnaei being the most prevalent species (34.81%). Results Molecular analysis indicated that 43.58% of the ticks tested positive for rickettsiae. The prevalence of specific rickettsial species was as follows: Rickettsia massiliae (16.79%), Rickettsia sp. (11.48%), R. slovaca (8.77%), Ca. R. kotlanii (5.31%) and R. japonica (1.23%). Notably, approximately 13.95% of the ticks harboured at least one tick‐borne Rickettsia , with double and triple co‐infections found in 5.06% and 1.23%, respectively. Phylogenetic analysis revealed that isolates of Candidatus Rickettsia kotlanii and Rickettsia sp. from Pakistan shared close genetic similarities with isolates from Japan and South Africa. Conclusion These findings underscore the urgent need for enhanced surveillance and monitoring of Pakistani tick populations and rickettsial pathogens. Understanding the dynamics of rickettsial transmission is crucial for mitigating the risks of tick‐borne diseases in humans and animals and informing public health strategies.
Analysis of Application Delivery Platform for Software Defined Infrastructures

Field: Computer Science (Physical Sciences)

Application Service Providers (ASPs) obtaining resources from multiple clouds have to contend with different management and control platforms employed by the cloud service providers (CSPs) and network service providers (NSP). Distributing applications on multiple clouds has a number of benefits but the absence of a common multi-cloud management platform that would allow ASPs dynamic and real-time control over resources across multiple clouds and interconnecting networks makes this task arduous. OpenADN, being developed at Washington University in Saint Louis, fills this gap. However, performance issues of such a complex, distributed and multi-threaded platform, not tackled appropriately, may neutralize some of the gains accruable to the ASPs. In this paper, we establish the need for and methods of collecting precise and fine-grained behavioral data of OpenADN like platforms that can be used to optimize their behavior in order to control operational cost, performance (e.g., latency) and energy consumption.
Exploitation of a Medium-Sized Fuzzy Outranking Relation Based on Multi-objective Evolutionary Algorithms to Derive a Ranking

Field: Decision Sciences (Social Sciences)

We present a multi-objective evolutionary algorithm to exploit a medium-sized fuzzy outranking relation to derive a partial order of classes of alternatives (we call it RP-NSGA-II). To measure the performance of RP-NSGA-II, we present an empirical study over a set of simulated multi-criteria ranking problems. The result of this study shows that RP-NSGA-II can effectively exploit a medium-sized fuzzy outranking relation. Finally, we present a real-case study for ranking the municipalities of the state of Guanajuato, Mexico by their levels of marginalization.
P1‐153: Core features of human frontotemporal dementia recapitulated in progranulin knockout mice

Field: Neuroscience (Life Sciences)

Frontotemporal dementia (FTD) represents 10-20% of all dementia cases. FTDs are characterized by changes in behavior, personality, and language with dementia and parkinsonism appearing late in the disease. Behavioral changes include altered social comportment, lack of motivation, withdrawal, and apathy. Memory deficits are manifested by impaired social learning and memory performance. Dominantly inherited FTD comprises 5-10% of all cases. Mutations in the progranulin gene (GRN) co-segregate with affected individuals in a subset of these kindreds. To date, 68 GRN mutations have been identified (http://www.molgen.ua.ac.be/ADMutations) many of which introduce a premature termination codon leading to nonsense-mediated decay with resultant absence of the mutant GRN transcript. This loss of functional progranulin implicates a haploinsufficiency mechanism for neurodegeneration. To investigate the neurodegenerative consequences of GRN mutations, we used progranulin knockout mice (GRN-/-) previously generated on C57BL/6 background by homologous recombination (Kayasuga et al., 2007). Specifically, we characterized 9-12 month-old wild type (GRN+/+; n = 20) and knockout (GRN-/-; n = 24) mice using a battery of tests to assess neurological integrity and behavioral phenotypes analogous to FTD. GRN-/- mice did not exhibit differences in locomotor activity variables during a 1-h test relative to GRN+/+ mice. Importantly, GRN-/- mice showed evidence of spatial learning deficits with significantly longer path lengths during place trials (p = 0.012) and possibly impaired retention as suggested by significantly fewer platform crossings (p = 0.045) during the probe trial. A subset of the mice described above were also evaluated on the resident-intruder test and, contrary to previous results in younger animals, GRN-/- mice (n = 8) did not demonstrate heightened aggression compared to GRN+/+ controls (n = 7). However, GRN-/- mice showed robust performance differences on more socially-oriented behaviors within this test such as exhibiting significantly shorter durations of pawing (p = 0.005) and following (p = 0.018), and longer periods of noninteraction (p = 0.004). These data suggest that the GRN-/- mouse reproduces some core features of the FTD phenotype and therefore may serve as a valuable in vivo model of FTD through which molecular mechanisms underlying the disease can be further dissected.
Relationship of Strength and Conditioning Metrics to Success on the Army Ranger Physical Assessment Test

Field: Health Professions (Health Sciences)

Barringer, ND, McKinnon, CJ, O'Brien, NC, and Kardouni, JR. Relationship of strength and conditioning metrics to success on the army ranger physical assessment test. J Strength Cond Res 33(4): 958-964, 2019-The purpose of our study was to compare standard strength and conditioning assessments in the Ranger Athlete Warrior (RAW) assessments to a tactical assessment of the Ranger Physical Assessment Test (RPAT) to determine what influence, if any, that they may have on the RPAT outcome. We analyzed RAW and RPAT data on 1,141 soldiers attempting the Ranger Assessment and Selection Program I (RASP I) for entrance into the 75th Ranger Regiment as part of their routine program data collection from July 2014 to July 2017. We found better performance in the broad jump, pull-ups, and average 300-yard shuttle time was associated with improved odds of passing the RPAT. For every increasing 2.54 centimeters in broad jump, the odds of passing the RPAT increased by 4% (OR = 1.04, 95% CI [1.01-1.07]). Each additional pull-up was associated with 6% better odds (OR = 1.06, 95% CI [1.01-1.12]) of passing the RPAT, and every second faster in the 300-yard shuttle was associated with 9% better odds of passing the RPAT (OR = 1.09, 95% CI [1.03-1.14]). The results of this study indicate that lower-body power, pulling strength, and anaerobic conditioning seemed to have the greatest influence on RPAT success. Our current results provide guidance to Strength Coaches or TSAC-Fs preparing tactical athletes for this specific or similar tactical assessment as better performance was found for tactical athletes with greater lower-body power, pulling strength, and anaerobic endurance.
Identification of the ADP-L-glycero-D-manno-heptose-6-epimerase (rfaD) and heptosyltransferase II (rfaF) biosynthesis genes from nontypeable Haemophilus influenzae 2019

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Haemophilus influenzae is an important human pathogen. The lipooligosaccharide (LOS) of H. influenzae has been implicated as a virulence determinant. To better understand the assembly of LOS in nontypeable H. influenzae (NtHi), we have cloned and characterized the rfaD and rfaF genes of NtHi 2019, which encode the ADP-L-glycero-D-manno-heptose-6-epimerase and heptosyltransferase II enzymes, respectively. This cloning was accomplished by the complementation of Salmonella typhimurium lipopolysaccharide (LPS) biosynthesis gene mutants. These deep rough mutants are novobiocin susceptible until complemented with the appropriate gene. In this manner, we are able to use novobiocin resistance to select for specific NtHi LOS inner core biosynthesis genes. Such a screening system yielded a plasmid with a 4.8-kb insert. This plasmid was able to complement both rfaD and rfaF mutants of S. typhimurium. The LPS of these complemented strains appeared identical to the wild-type Salmonella LPS. The genes encoding the rfaD and rfaF genes from NtHi 2019 were sequenced and found to be similar to the analogous genes from S. typhimurium and Escherichia coli. The rfaD gene encodes a polypeptide of 35 kDa and the rfaF encodes a protein of 39 kDa, as demonstrated by in vitro transcription-translation studies. Isogenic mutants which demonstrated truncated LOS consistent with inner core biosynthesis mutants were constructed in the NtHi strain 2019. Primer extension analysis demonstrated the presence of a strong promoter upstream of rfaD but suggested only a very weak promoter upstream of rfaF. Complementation studies, however, suggest that the rfaF gene does have an independent promoter. Mass spectrometric analysis shows that the LOS molecules expressed by H. influenzae rfaD and rfaF mutant strains have identical molecular masses. Additional studies verified that in the rfaD mutant strain, D-glycero-D-manno-heptose is added to the LOS molecule in place of the usual L-glycero-D-manno-heptose. Finally, the genetic organizations of the inner core biosynthesis genes of S. typhimurium, E. coli, and several strains of H. influenzae were examined, and substantial differences were uncovered.
Design of feature selection algorithm for high-dimensional network data based on supervised discriminant projection

Field: Computer Science (Physical Sciences)

High dimension and complexity of network high-dimensional data lead to poor feature selection effect network high-dimensional data. To effectively solve this problem, feature selection algorithms for high-dimensional network data based on supervised discriminant projection (SDP) have been designed. The sparse representation problem of high-dimensional network data is transformed into an Lp norm optimization problem, and the sparse subspace clustering method is used to cluster high-dimensional network data. Dimensionless processing is carried out for the clustering processing results. Based on the linear projection matrix and the best transformation matrix, the dimensionless processing results are reduced by combining the SDP. The sparse constraint method is used to achieve feature selection of high-dimensional data in the network, and the relevant feature selection results are obtained. The experimental findings demonstrate that the suggested algorithm can effectively cluster seven different types of data and converges when the number of iterations approaches 24. The F1 value, recall, and precision are all kept at high levels. High-dimensional network data feature selection accuracy on average is 96.9%, and feature selection time on average is 65.1 milliseconds. The selection effect for network high-dimensional data features is good.
Service reliability assessment using failure mode and effect analysis (FMEA): survey and opportunity roadmap

Field: Decision Sciences (Social Sciences)

Despite Failure Mode and Effect Analysis (FMEA) being a strategic technique for creation of error free service operation, detailed survey study and development of opportunity roadmap for FMEA application in service operation is limited in literature. We presented a preliminary literature survey between 1994 and 2010 that covers 20 journals from 8 different literature databases. The result of our preliminary survey indicated that majority of previous service FMEA studies focused on profit and supply chain-oriented service business practices. New service FMEA research opportunities relating to enhancement in Risk Priority Number (RPN), reprioritization, versatility of its application in service supply chain framework and non-profit service sector as well as combination with other quality control tools are proposed for further investigations.
Design and Implementation of a Secure Healthcare Social Cloud System

Field: Health Professions (Health Sciences)

Two cutting edge technologies are cloud computing and social media. Healthcare is a promising application of these technologies. In this paper, we describe our design and prototype implementation of a social healthcare network over the cloud. The system is secured with a trust-aware role-based access control. Our work addresses an unmet need in social healthcare networking -- emotional support, and demonstrates social healthcare network application in a real cloud computing environment.