Miracle-dz/UniFAR-FTUs huggingface dataset:
Drivers of walleye recruitment in Minnesota’s large lakes

Fish recruitment is complex and difficult to predict. Data-driven approaches show promise for predicting recruitment and understanding its drivers. We used a random forest model to infer relationships between year-class strength and 17 variables describing potential recruitment drivers across 30+ years of walleye (Sander vitreus) data from Minnesota’s nine largest inland lakes. Our model explained 20% of the variation in year-class strength overall, with predictive performance varying among lakes (–8% to 37% explained variance). Of the variables analyzed, degree-days during the first year of life and first winter severity were the most important for predicting recruitment, with relatively weak year classes predicted to occur with cold first growing seasons and severe first winters. Other thermal variables were secondarily important predictors of year-class strength. Predicted year-class strength was positively related to stock size and stocking and negatively related to the presence of invasive species; however, these variables were less important than thermal variables. Our results indicate that thermal conditions in early life can have a substantial impact on walleye recruitment and highlight the potential for differing recruitment drivers and dynamics among lakes.
Bone Loss in Bruxist Patients Wearing Dental Implant Prostheses: A Finite Element Analysis

Bruxism is an unconscious, involuntary and sustained motor activity that results in excessive teeth grinding or jaw clenching that could affect patients’ implants and rehabilitations. The aetiology for bruxism remains unknown, but it is known to involve multiple factors. The literature lacks studies on the possible effect of implant morphology on the resistance of the bone-implant osseointegrated interface when bruxism is present. Our objective is to assess the mechanical response of the bone-implant interface in bruxist patients whose implant prostheses are subjected to parafunctional cyclic loading over a simulated period of 10 years. A comparison was carried out between two implant types (M-12 and Astra Tech), and a pattern of bone loss was established considering both the stress state and the cortical bone surface loss as the evaluation criteria. Numerical simulation techniques based on the finite element analysis method were applied in a dynamic analysis of the received forces, together with a constitutive model of bone remodelling that alters the physical properties of the bone. The simulated cortical bone surface loss at the implant neck area was 8.6% greater in the Astra implant than in the M-12 implant. Compared to the M-12 implant, the higher sustained stress observed over time in the Astra implant, together with the greater cortical bone surface loss that occurred at its neck area, may be related to the major probability of failure of the prostheses placed over Astra implants in bruxist patients.
The in silico study of phytoestrogenic activity of soy in substitution of estrogen function

Backgroud: Isoflavone compounds in soy are known as phytoestrogen compounds. These compounds are expected to have important roles in replacing estrogen role in menopausal women. Aim: The purposes of this study were to investigate the estrogen receptor modulation by soy isoflavone compounds and how the estrogen compound takes a role in gene synthesis related to proliferation and apoptosis. Methods: The analysis was performed in silico manner in which docking as the most important method was carried out using Hex 8.0 software and HADDOCK webserver. Interaction analysis was then done to observe the interactions between soy isoflavone compound and several related proteins using the softwares of Discovery studio, LigPlus, and NUCPLOT. Results: The results of this study indicated that soy isoflavone compound have the ability to bind to estrogen receptors.Conclusions: it can be concluded that soy isoflavone compounds can serve as phytoestrogen that can activate estrogen receptor.
Using Cash Flow Ratios To Establish A Manufacturing Bankruptcy Prediction Model

This research has the purpose of forming a bankruptcy prediction model that will occur in manufacturing companies that listed in Indonesia Stock Exchange using the ratioof cash flow because the manufacturing industry plays an important role in a country's economic development. Cash flow ratio and condition of financial difficulties are used as research variables . Non probabilistic sample with the type of purposive sampling is referred to as the method used in sampling at this research, because rather than the number of manufacturing companies used was 92 manufacturing companies.The methodof data analysis in this research uses logistic regression and the results show that cash flow ratios can predict financial distress with operating cash flow margin is most useful in predicting financial difficulty.These findings can make manufacturing companies focus on cash flow ratios to avoid financial distress. Keywords: cash flow ratios; logistic regression; manufacturing industries; financial distress
Exploring the mitochondrial function in muscle and molecular dysregulation in cerebellum in a mouse model for ARCA2, a recessive ataxia with coenzyme Q10 deficiency

ARCA2 est une ataxie autosomique recessive rare, caracterisee par une atrophie du cervelet et un leger deficit en Coenzyme Q10 (CoQ). La majorite des patients presentent des signes neurologiques supplementaires comme l’epilepsie ou l’intolerance a l’exercice. La maladie est due a des mutations dans le gene COQ8A qui semble encoder une proteine kinase-like atypique, impliquee dans la biosynthese du CoQ. Pour comprendre les mecanismes physiopathologiques, une souris Coq8a knock-out (KO) constitutif a ete generee et recapitule les symptomes observes chez les patients. Le but de ce travail de these etait de mieux comprendre certains aspects, notamment l’intolerance a l’exercice et l’ataxie. Malgre un deficit en CoQ dans les muscles, aucun defaut de respiration mitochondriale n’a ete detecte dans un modele cellulaire de muscle. Neanmoins, dans le cervelet, les niveaux de transcrits de 27 genes sont deregules, precocement dans l’apparition de la pathologie chez les souris KO. Les voies metaboliques vont etre explorees, ce qui devrait permettre de relier la fonction de COQ8A au taux de CoQ et aux symptomes observes chez les patients.
A Wireless Power Transfer Devices Using Non-Radiant/Radiant Structure

This paper presents Wireless Power Transfer of Devices Using Non-Radiant/Radial Structure. Radial and non-radio-radio-type radio charging receiving station physical and layout , measurement was carried out. High-efficiency Adaptive Rectifier operating in wide receiving power range, Low-Drop-Out Voltage Regulator for rapid charging, and Analog-to-Digital Converter for communication and power control have been developed. The core of wireless energy technology is the efficiency of RF-DC Converter. In the computer simulation results, the maximum efficiency of the radial radio charging reception was 47.19% at 0 dBm of input power and 88.62% at the non-radio charging reception. The use process is CMOS process 180nm and the chip area is 5000um X 2450um.
An Aircraft Object Detection Algorithm Based on Small Samples in Optical Remote Sensing Image

In recent years, remote sensing technology has developed rapidly, and the ground resolution of spaceborne optical remote sensing images has reached the sub-meter range, providing a new technical means for aircraft object detection. Research on aircraft object detection based on optical remote sensing images is of great significance for military object detection and recognition. However, spaceborne optical remote sensing images are difficult to obtain and costly. Therefore, this paper proposes the aircraft detection algorithm, itcan detect aircraft objects with small samples. Firstly, this paper establishes an aircraft object dataset containing weak and small aircraft objects. Secondly, the detection algorithm has been proposed to detect weak and small aircraft objects. Thirdly, the aircraft detection algorithm has been proposed to detect multiple aircraft objects of varying sizes. There are 13,324 aircraft in the test set. According to the method proposed in this paper, the f1 score can achieve 90.44%. Therefore, the aircraft objects can be detected simply and efficiently by using the method proposed. It can effectively detect aircraft objects and improve early warning capabilities.
Structural and functional impact of SNPs in P-selectin gene: A comprehensive in silico analysis

Abstract P-selectin is an adhesion molecule which plays an important role in the development of inflammation. It is encoded by the SELP gene located on chromosome 1q21-q24. Various single nucleotide polymorphisms (SNPs) of SELP have been reported to be associated with various inflammatory disease conditions. The genetics behind these diseases could be better understood by knowing the structural and functional impact of various genetic determinants of SELP. So far, this is the first comprehensive and systematic in silico analysis of SNPs in SELP. A total of 2780 SNPs of SELP were retrieved from NCBI dbSNP. Only conserved and validated SNPs with minor allele frequency (MAF) ≥ 0.05 were subjected to further analysis. Based on these criteria, we selected 4 non-synonymous SNPs (nsSNPs) and 119 non-coding SNPs (ncSNPs). The nsSNPs were analyzed for deleterious effects using SIFT, Polyphen-2, nsSNPAnalyzer, SNP & Go, SNPs3, Mutperd and I-mutant web tools. The template prediction for variant structure modeling was performed using MUSTER and SWISS-MODEL. The functional impact of ncSNPs was analyzed by SNPinfo and RegulomeDB. The in silico analysis predicted 3 nsSNPs and 21 ncSNPs as potential candidates for future case-control association studies and functional analysis of SELP.
Bases metodológicas de la medición de desarrollo infantil temprano en la Ensanut 100k

Objetivo. Presentar los métodos realizados para la inclu­sión del módulo de Desarrollo Infantil Temprano (DIT) en la Ensanut 100k. Material y métodos. Con dicho módulo y el cuestionario de menores de cinco años, se obtuvieron indicadores del estado de salud, desarrollo y bienestar de niñas/os en los primeros cinco años de vida. De noviembre a diciembre de 2017, se definió el diseño de la muestra, instrumentos y manuales, y se realizó una prueba piloto. Se capacitó y estandarizó al personal de campo. El levantamiento de información se realizó entre enero y junio de 2018. Re­sultados. Se estudió en el módulo DIT de la encuesta a 3 892 niños/as de 0 a 59 meses de edad. Conclusiones. La capacitación y estandarización del personal de campo, por parte de personal capacitado y estandarizado, minimiza los sesgos de información.
Molecular Characterization of AmpC Beta-Lactamase Gene Producing Carbapenem-Resistant Klebsiella Pneumoniae from Hilla River Waters-Iraq

This study was carried out to identify the prevalence of bla AmpC producing Klebsiella pneumoniae isolated from surface waters of Hilla River. During the period from January to April 2015,one hundred and one water samples were collected from 10 various locations of Hilla river. Thirty five (34.6%) isolates were specified as K. pneumoniae . All K. pneumoniae isolates were subjected to antibiotic susceptibility testing using Kirby-Bauer disk diffusion method. The higher level of resistance was observed for penicillin antibiotics (ampicillin and piperacillin) with (57.14%) and (54.28%) resistance rate, respectively. Cefoxitin resistant isolates were checked for AmpC β- lactamase production phenotypically using modified three dimensional tests. Four (25%) isolates were screen-positive. Carbapenem resistance was identified in 2 isolates of K. pneumoniae , these were analyzed further by Polymerase Chain Reaction (PCR) assay for detection bla AmpC gene, 2 (100%) isolates gave positive result. Keywords : Klebsiella pneumoniae , AmpC β-lactamase, Carbapenem resistance, PCR, River water.
Identification of the fungus Erysiphe diffusa causing powdery mildew disease on soybeans

Around the world, powdery mildew disease is damaging areas used for cultivating soybeans, including Asia (China, Japan, Korea.) and America (USA, Argentina.). The disease became an epidemic in Korea, reducing approximately 65-70 percentage of the crop yield in many intensively cultivated areas [1]. In Oita Province, Kyushu Island, Japan, powdery mildew disease outbroke on soybean to epidemicextremes and caused a 35-40% reduction in yield [2].
Tree recovery during the aftermath of an outbreak episode of the Hungarian spruce scale in southern Sweden

ABSTRACT In 2010, the first, and so far only, infestation of the Hungarian spruce scale (Physokermes inopinatus) and accompanying sooty mould occurred in Scania, southernmost Sweden. About 1000 ha of Norway spruce (Picea abies) were affected, and the trees suffered from the sucking of the insects as well as from the dense sooty mould that covered the needles. Salvage cuttings were carried out in many of the massively attacked forest stands, both in response to the fear that the trees otherwise would die, e.g. from secondary bark beetle attacks and to prevent spreading of the infestation. The aim of this study was to provide basic, quantitative knowledge on the aftermath response of trees that were heavily infested, but not exposed to salvage cutting. Growth characteristics, in terms of needle weight, shoot length and tree-ring size were measured on infested and uninfested trees to compare and contrast the spruce growth before, during and after the scale outbreak. The infestation resulted in dwarf annual shoots, stunted needles and thin tree rings. The needle weight returned to normal the following year, whereas shoot length and tree rings required one growing season before full recovery.
Managed Versus Natural Recharge of Pre‐Alpine Phreatic Aquifers

Managed aquifer recharge (MAR) is becoming a common practice worldwide. MAR is carried out in different environments from coastlands to highlands, in megalopolis, farmlands and pristine areas, and in arid and humid regions. Pre‐Alpine aquifers represent an optimal target when MAR is aimed at storing large amounts of high‐quality waters. In fact, pre‐Alpine aquifers are generally characterized by high permeability and a thick unsaturated zone, with the catchments crossed by watercourses rich of high‐quality water. Here, we focus the attention to a representative pre‐Alpine aquifer system located in the Friuli region, northeastern Italy. A 1‐year long MAR test was carried out through a ~700 m2 infiltration basin recharged by water diverted from a nearby channel. The site was characterized from the hydrogeological viewpoint, and the MAR test was monitored through time‐lapse hydrogeophysics, water level and piezometric records, and physicochemical water characterization. The data set was used to calibrate a local groundwater flow model, showing that MAR recharged the 50 m deep phreatic aquifer with 1,000 m3/day. Hydrogeologic data made available by previous studies were processed to develop a groundwater model of the regional aquifer that allowed for estimating the natural groundwater recharge of the phreatic system and, subsequently, evaluating the MAR effects in the context of the natural balance. If a single MAR site, like the tested one, plays a certain effect at a local scale only, the MAR implementation on several gravel pits and large‐diameter wells scattered in the region could store several million cubic meters of water per year, significantly raising the water table and improving the groundwater quality.
Determination of women’s voting behavior; A machine learning approach in the Turkish political arena

Justice and Development Party (AKP) has been the ruling and biggest party in Turkey (AKP) since it has been established in 2002 and Republican People’s Party (CHP) has been the main opposition party (CHP) since then. These two parties receive about 75% of all the votes and half of the voters are females. To our knowledge, there is no such a study focusing on women’s party preferences in Turkey. Additionally, this is one of the very few studies in Turkey concerning voters’ party preferences. Therefore, this study aims to fill this gap in the literature. In this study, the important attributes of women in party selection decisions are analyzed. Center-periphery and social mobility theories are the two main theories explaining Turkish political life. The analyzed ideological, cultural, religious, social, economic and demographic characteristics of women supporters are selected according to these theories. Machine-learning techniques are employed as predictive tools. Results show that ideological attitudes like being leftist-rightist and religious values like headscarf, fasting in Ramadan, and praying are the most important effective attributes on party selection of women. However, socioeconomic, cultural, educational and demographic atributes are not effective on party selection of women in Turkey.
Efficiency of subaquatic light traps

ABSTRACT Subaquatic light traps are often used for sampling of the aquatic insects; however, their efficiency has not been tested yet. Here, we describe the use of such traps, illustrate the design of a simple trap allowing standardised sampling, and present results of assessment of the light trap efficiency according to the different turbidity levels, as well as model insects’ escape rates. The effect of turbidity on the capture efficiency was not significant for Sigara lateralis (Leach, 1817), Notonecta glauca Linnaeus, 1758 and Corixa punctata (Illiger, 1807) and was marginally significant for Chaoborus sp. Escape rates were affected by the entrance size and daylight exposure time. Although subaquatic light traps are helpful for standardised sampling, their entrance should be adequate for the target species, and the traps should be removed soon after the dawn or the resulting specimen counts should be corrected for the daylight exposure time before the trap removal.
Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model

In the digital society, individuals are in charge of performing tasks based on the information gathered by huge amount of data and effectively use them to manifest their cognitive and motor abilities. In this paper, on the basis of experimental studies available in literature concerning lab tests on motor or cognitive abilities of differently aged subjects, an information-based theoretical model is proposed. The model allows to quantify the information content of a motor or a cognitive task and provides estimates of information processing time of individuals of different age and sex in accomplishing tasks with prevalent motor or cognitive nature, in spite of the fact that a “pure” cognitive or a “pure” motor task are rarely observed in practical cases. The model is then applied to a case study from automotive industry in which workforce aging phenomenon is experienced. Potential applications of the model go beyond the case study developed. Quantifying the information content of a general motor-cognitive task paves the way to new understanding and modelling of movements and performance time of both natural and artificial systems with applications in industrial robotics (e.g., human-robot cooperation), biomechanics, and neurorehabilitation.
A Spectroscopic Survey of Lyα Emitters at z ≈ 3.1 over ∼1.2 Deg2

We present a spectroscopic survey of Lyα emitters (LAEs) at z ≈ 3.1 in the Subaru XMM-Newton Deep Survey Field. This field has deep imaging data in a series of broad and narrow bands, including two adjacent narrow bands NB497 and NB503 that have allowed us to efficiently select LAE candidates at z ≈ 3.1. Using spectroscopic observations on MMT Hectospec and Magellan M2FS, we obtained a sample of 166 LAEs at z ≈ 3.1 over an effective area of ∼1.2 deg2, including 16 previously known LAEs. This is so far the largest (spectroscopically confirmed) sample of LAEs at this redshift. We make use of the secure redshifts and multiband data to measure spectral properties such as Lyα luminosity and rest-frame UV slope. We derive a robust Lyα luminosity function (LF) that spans a luminosity range from ∼1042.0 to >1043.5 erg s−1. Significant overdense and underdense regions are detected in our sample, but the area coverage is wide enough to largely suppress the effect from such cosmic variance. Our Lyα LF is generally consistent with those from previous studies at z ∼ 3.1. At the brightest end of the LF, there is a tentative detection of a density excess that is not well described by the Schechter function. The comparison with the LFs at other redshifts suggests that the Lyα LF does not show significant evolution at 2 < z < 5. Finally, we build the composite spectra of the LAEs and detect the N v λ1239 and C iv λλ1548,1551 doublet emission lines at significance of ∼4σ, suggesting very hard radiation fields in (some of) these LAEs.
Oral language comprehension interventions in 1–8-year-old children with language disorders or difficulties: A systematic scoping review

Background and aims The most severe problems in language manifest as difficulties in comprehending oral language. These difficulties are persistent and expose individuals to several risk factors. There is a lack of intervention research in the area of oral language comprehension, and no reviews have focused solely on oral language comprehension interventions in young children. The aim of this review was to identify interventions targeting oral language comprehension in children 8 years or younger with language disorders or difficulties. The review also examined the possible intervention foci, efficacy, and level of evidence of these interventions. Methods A systematic scoping review of eight databases was carried out. Twenty of 2399 articles met the inclusion criteria and a further six articles were identified through reference lists of sourced articles. These 26 articles described 25 studies. Altogether 2460 children aged 1–8 years participated in the 25 studies. The data from these studies were extracted and analysed, and the intervention foci, efficacy, and level of evidence were evaluated. Main contribution: The reviewed interventions focused on three aspects: modifying the communicative environment of the child; targeting aspects of the child’s language; or targeting the child’s language processing. Of the included studies, 80% indicated positive effects on participants’ oral language comprehension. The level of evidence of the included studies varied. With few exceptions, researchers and practitioners can have moderate confidence in the results of the included studies indicating that it is possible to ameliorate difficulties in oral language comprehension. Conclusions This review summarises the existing evidence on oral language comprehension interventions in young children with language disorders or difficulties. The evidence base is still limited, and more research is urgently needed. The results suggest that though not all interventions seem to provide desired outcomes, there are several interventions indicating efficacy to target problems in oral language comprehension in 1–8-year-old children with language disorders or difficulties. A careful choice of therapy technique and collaboration with people in the child’s environment is required to maximize outcomes. Implications: The results suggest that young children’s oral language comprehension skills can be improved by guiding parents and clinicians in their communication strategies, and by clinician-implemented interventions targeting aspects of the child’s language. The research on interventions targeting children’s language processing is limited, and the results mixed. The present study provides information on different oral language comprehension interventions and their outcomes. The findings are readily applicable for clinical use.