bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehensive Penetration Evaluation Method in Collisions between a Supply Ship and a Semi-Submersible Platform
Authors: Xiao Yuan , Yao Zhi , Zhang Xu
Published: June 2022

Collisions between ships and offshore platforms frequently occur, with severe consequences. Predicting the collision depth under different conditions is very important to evaluate the severity of the consequences. Considering the time-consuming numerical simulation problem and the accuracy problems of existing approximation algorithms, this paper proposes a comprehensive approach to estimating penetration depths by obtaining two collision coefficients for specific collision structures based on the partial results of numerical simulations and simplified theoretical analysis. In this study, the collision process between a supply ship with a transverse framing stern and an offshore semi-platform was first numerically simulated based on the explicit dynamic method. The changes in ship velocity, impact force, and energy conversion before and after the collision processes were obtained through numerical simulations of the collisions with different speeds and angles. Then, by combining the external dynamics and numerical results, the analytical results of dissipated energy under other collision conditions were obtained using a simulated restitution coefficient. For the following internal dynamics analysis, according to the failure modes of specific structural components in different regions, an appropriate structural energy absorption formula was combined to obtain the relationship between the penetrations and energy absorption in a particular collision area. According to the friction energy ratio derived by the simulation, the penetration depths in the offshore platform were calculated. The results showed that the deviations between the proposed method and direct simulation results were less than 15% in the cases of a medium- to high-energy collision. It can be concluded that the restitution coefficient and friction energy ratio in different collision conditions can be approximately determined for a specific collision system by typical numerical simulations, thus quickly calculating the penetration depths of other conditions.
Looking beyond the COVID-19 Pandemic: Congregants’ Expectations of Future Online Religious Service Attendance
Authors: Jacobi Christopher Justin , Andronicou Maria , Vaidyanathan Brandon
Published: June 2022

Many religious congregations in the United States have adapted to COVID-19 lockdowns by offering religious services online. This study aims to understand whether congregants from a diverse set of faith traditions expect to attend online or in-person religious services after the pandemic. First, it examines how members of different religious traditions vary in their expectations of future attendance. Second, it explores whether respondents’ habituation to online attendance during the pandemic might result in greater preference for future online attendance. This study draws on a non-representative sample of 1609 members of Christian, Jewish, and Hindu communities in four US states surveyed in late 2020 and employs logistic regression models. The findings first suggest a divergence between congregation types that require in-person attendance for certain rituals versus those that do not. Second, habituation of the practice of online attendance may cultivate the desire to sustain this practice into the future. Online religious services have been well received by most congregants, and online services will likely play a useful role across congregation types, albeit at differing levels and with different audiences. Our finding that marginal congregants were more likely to prefer online religious services, while more engaged members preferred in-person attendance, is of relevance to faith leaders.
Commodity Prices after COVID-19: Persistence and Time Trends
Authors: Monge Manuel , Lazcano Ana
Published: June 2022

Since December 2019 we have been living with the virus known as SARS-CoV-2, a situation which has led to health policies being given prevalence over economic ones and has caused a paralysis in the demand for raw materials for several months due to the number confinements put in place around the world. Since the worst days of the pandemic caused by COVID-19, most commodity prices have been recovering. The main objective of this research work is to learn about the evolution and impact of COVID-19 on the prices of raw materials in order to understand how it will affect the behavior of the economy in the coming quarters. To this end, we use fractionally integrated methods and an Artificial Neural Network (ANN) model. During the COVID-19 pandemic episode, we observe that commodity prices have a mean reverting behavior, indicating that it will not be necessary to take additional measures since the series will return, by themselves, to their long term projections. Moreover, in our forecast using ANN algorithms, we observe that the Bloomberg Spot Commodity Index will recover its upward trend, increasing some 56.67% to the price from before the start of the COVID-19 pandemic episode.
KdO-Net: Towards Improving the Efficiency of Deep Convolutional Neural Networks Applied in the 3D Pairwise Point Feature Matching
Authors: Zhang Rui , Li Guangyun , Wiedemann Wolfgang , Holst Christoph
Published: June 2022

In this work, we construct a Kd–Octree hybrid index structure to organize the point cloud and generate patch-based feature descriptors at its leaf nodes. We propose a simple yet effective convolutional neural network, termed KdO-Net, with Kd–Octree based descriptors as input for 3D pairwise point cloud matching. The classic pipeline of 3D point cloud registration involves two steps, viz., the point feature matching and the globally consistent refinement. We focus on the first step that can be further divided into three parts, viz., the key point detection, feature descriptor extraction, and pairwise-point correspondence estimation. In practical applications, the point feature matching is ambiguous and challenging owing to the low overlap of multiple scans, inconsistency of point density, and unstructured properties. To solve these issues, we propose the KdO-Net for 3D pairwise point feature matching and present a novel nearest neighbor searching strategy to address the computation problem. Thereafter, our method is evaluated with respect to an indoor BundleFusion benchmark, and generalized to a challenging outdoor ETH dataset. Further, we have extended our method over our complicated and low-overlapped TUM-lab dataset. The empirical results graphically demonstrate that our method achieves a superior precision and a comparable feature matching recall to the prior state-of-the-art deep learning-based methods, despite the overlap being less than 30 percent. Finally, we implement quantitative and qualitative ablated experiments and visualization interpretations for illustrating the insights and behavior of our network.
The Drought Events over the Amazon River Basin from 2003 to 2020 Detected by GRACE/GRACE-FO and Swarm Satellites
Authors: Cui Lilu , Yin Maoqiao , Huang Zhengkai , Yao Chaolong , Wang Xiaolong , Lin Xu
Published: June 2022

The climate anomaly in the Amazon River basin (ARB) has a very important influence on global climate change and has always been the focus of scientists from all over the world. To fill the 11-month data gap between Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions, we fused the TWSC results from six GRACE solutions by using the generalized three-cornered hat and the least square method to improve the reliability of TWSC results, and then combined Swarm data to construct an uninterrupted long time series of a TWSC-based drought index (GRACE/Swarm-DSI). The drought index was used to detect and characterize the drought events in the ARB between 2003 and 2020. The results show that GRACE/Swarm-DSI has a strong correlation with Self-Calibrating Palmer Drought Severity Index (SCPDSI) (0.6345), Standardized Precipitation Evapotranspiration Index-3 (SPEI-3) (0.5411), SPEI-6 (0.6377) and SPEI-12 (0.6820), and the Nash–Sutcliffe efficiency between GRACE/Swarm-DSI and the above four drought indices are 0.3348, 0.2786, 0.4044 and 0.4627, respectively. Eleven drought events were identified in the ARB during the study period, and the 2005, 2010 and 2016 droughts are the most severe and the longest. The correlation between GRACE/Swarm-DSI and precipitation (PPT) (the correlation coefficient is 0.55 with a 2-month delay) is higher than that of evapotranspiration (ET) (the correlation coefficient is −0.18 with a 12-month delay). It explains that less PPT is the main cause of drought events in the ARB. The influence of PPT is greater in the plains than the one in the mountains and the response time of GRACE/Swarm-DSI to PPT is 1~2 months in most regions. Our results provide a certain reference for the hydrological application of the Swarm model in filling the gap between GRACE and GRACE-FO missions.
Introducing Two Fixed Platforms in the Yellow Sea and East China Sea Supporting Long-Term Satellite Ocean Color Validation: Preliminary Data and Results
Authors: Song Qingjun , Chen Shuguo , Hu Lianbo , Wang Xi , Shi Xinhao , Li Xueyin , Deng Linke , Ma Chaofei
Published: June 2022

Following the Aerosol Robotic Network-Ocean Color (AERONET-OC) network scheme and instrument deployment protocols, two fixed platforms (Muping and Dong’ou) in the Yellow Sea and East China Sea were implemented with the support of the China National Satellite Ocean Application Service. Optical radiometry instruments were established at the two sites to autonomously determine remote sensing reflectance (Rrs) and aerosol optical depth (AOD). Details about location selection, platform design, instrument deployment, and the associated data processing procedure are reported in this study. Rrs and AOD measured by independent instruments at the Muping site were compared and results showed that they were consistent, with a median relative percentage difference (MRPD) < 0.6% for AOD and <10% for Rrs. The spectral feature and temporal pattern of Rrs and AOD at the two sites were examined and compared with data from 14 AERONET-OC sites. Rrs and AOD data measured at the two sites were used to evaluate ocean color operational products of MODIS/Aqua (MODISA), OLCI/Sentinel-3A (OLCI-3A), and OLCI/Sentinel-3B (OLCI-3B). Comparison showed that the three satellite sensor-derived Rrs agreed well with in situ measurements, with an MRPD < 25% for MODISA, <30% for OLCI-3A, and <40% for OLCI-3B, respectively. Large uncertainties were observed in the blue bands for the three satellite sensors, particularly for OLCI-3B at 400 nm. AOD at 865 nm derived from the three satellite sensors also agreed well with in situ measurements, with an MRPD of 28.1% for MODISA, 30.6% for OLCI-3A, and 39.9% for OLCI-3B. Two commonly used atmospheric correction (AC) processors, the ACOLITE and SeaDAS, were also evaluated using in situ measurements at two sites and 20 m-resolution MSI/Sentinel-2A data. Close agreements were achieved for both AC processors, while the SeaDAS performed slightly better than ACOLITE. The optimal band selection in the AC models embedded in two AC processors was a combination of one near-infrared and one short-wave infrared band such as 865 and 1609 nm, shedding light on MSI data applications in the aquatic environment.
Single-Image Super Resolution of Remote Sensing Images with Real-World Degradation Modeling
Authors: Zhang Jizhou , Xu Tingfa , Li Jianan , Jiang Shenwang , Zhang Yuhan
Published: June 2022

Limited resolution is one of the most important factors hindering the application of remote sensing images (RSIs). Single-image super resolution (SISR) is a technique to improve the spatial resolution of digital images and has attracted the attention of many researchers. In recent years, with the advancement of deep learning (DL) frameworks, many DL-based SISR models have been proposed and achieved state-of-the-art performance; however, most SISR models for RSIs use the bicubic downsampler to construct low-resolution (LR) and high-resolution (HR) training pairs. Considering that the quality of the actual RSIs depends on a variety of factors, such as illumination, atmosphere, imaging sensor responses, and signal processing, training on “ideal” datasets results in a dramatic drop in model performance on real RSIs. To address this issue, we propose to build a more realistic training dataset by modeling the degradation with blur kernels and imaging noises. We also design a novel residual balanced attention network (RBAN) as a generator to estimate super-resolution results from the LR inputs. To encourage RBAN to generate more realistic textures, we apply a UNet-shape discriminator for adversarial training. Both referenced evaluations on synthetic data and non-referenced evaluations on actual images were carried out. Experimental results validate the effectiveness of the proposed framework, and our model exhibits state-of-the-art performance in quantitative evaluation and visual quality. We believe that the proposed framework can facilitate super-resolution techniques from research to practical applications in RSIs processing.
Multi-Temporal LiDAR and Hyperspectral Data Fusion for Classification of Semi-Arid Woody Cover Species
Authors: Norton Cynthia L. , Hartfield Kyle , Collins Chandra D. Holifield , van Leeuwen Willem J. D. , Metz Loretta J.
Published: June 2022

Mapping the spatial distribution of woody vegetation is important for monitoring, managing, and studying woody encroachment in grasslands. However, in semi-arid regions, remotely sensed discrimination of tree species is difficult primarily due to the tree similarities, small and sparse canopy cover, but may also be due to overlapping woody canopies as well as seasonal leaf retention (deciduous versus evergreen) characteristics. Similar studies in different biomes have achieved low accuracies using coarse spatial resolution image data. The objective of this study was to investigate the use of multi-temporal, airborne hyperspectral imagery and light detection and ranging (LiDAR) derived data for tree species classification in a semi-arid desert region. This study produces highly accurate classifications by combining multi-temporal fine spatial resolution hyperspectral and LiDAR data (~1 m) through a reproducible scripting and machine learning approach that can be applied to larger areas and similar datasets. Combining multi-temporal vegetation indices and canopy height models led to an overall accuracy of 95.28% and kappa of 94.17%. Five woody species were discriminated resulting in producer accuracies ranging from 86.12% to 98.38%. The influence of fusing spectral and structural information in a random forest classifier for tree identification is evident. Additionally, a multi-temporal dataset slightly increases classification accuracies over a single data collection. Our results show a promising methodology for tree species classification in a semi-arid region using multi-temporal hyperspectral and LiDAR remote sensing data.
PARAFAC Estimators for Coherent Targets in EMVS-MIMO Radar with Arbitrary Geometry
Authors: Zhang Lei , Wang Han , Wen Fang-Qing , Shi Jun-Peng
Published: June 2022

In the past few years, multiple-input multiple-output (MIMO) radar with electromagnetic vector sensor (EMVS) array, or called EMVS-MIMO radar, has attracted extensive attention in target detection. Unlike the traditional scalar sensor-based MIMO radar, an EMVS-MIMO radar can not only provides a two-dimensional (2D) direction finding of the targets but also offers 2D polarization parameter estimation, which may be important for detecting weak targets. In this paper, we investigate into multiple parameter estimations for a bistatic EMVS-MIMO radar in the presence of coherent targets, whose transmitting EMVS and receiving EMVS are placed in an arbitrary topology. Three tensor-aware spatial smoothing estimators are introduced. The core of the proposed estimators is to de-correlate the coherent targets via the spatial smoothing technique and then formulate the covariance matrix into a third-order parallel factor (PARAFAC) tensor. After the PARAFAC decomposition of the tensor, the factor matrices can be obtained. Thereafter, the 2D direction finding can be accomplished via the normalized vector cross-product technique. Finally, the 2D polarization parameter can be estimated via the least squares method. Unlike the state-of-the-art PARAFAC estimator, the proposed estimators are suitable for arbitrary sensor geometries, and they are robust to coherent targets as well as sensor position errors. In addition, they have better estimation performance than the current matrix-based estimators. Moreover, they are computationally efficient than the current subspace methods, especially in the presence of a large-scale sensor array. In addition, the proposed estimators are analyzed in detail. Numerical experiments coincide with our theoretical findings.
Variation of Aerosol Optical Depth Measured by Sun Photometer at a Rural Site near Beijing during the 2017–2019 Period
Authors: Wu Xiu , Yuan Jinlong , Wei Tianwen , Zhang Yunpeng , Wu Kenan , Xia Haiyun
Published: June 2022

In recent years, the Beijing–Tianjin–Hebei region has become one of the worst areas for haze pollution in China. Sun photometers are widely used for aerosol optical property monitoring due to the advantages of fully automatic acquisition, simple maintenance, standardization of data processing, and low uncertainty. Research sites are mostly concentrated in cities, while the long-term analysis of aerosol optical depth (AOD) for the pollution transmission channel in rural Beijing is still lacking. Here, we obtained an AOD monitoring dataset from August 2017 to March 2019 using the ground-based CE-318 sun photometer at the Gucheng meteorological observation site in southwest Beijing. These sun photometer AOD data were used for the ground-based validation of MODIS (Moderate Resolution Imaging Spectroradiometer) and AHI (Advanced Himawari Imager) AOD data. It was found that MODIS and AHI can reflect AOD variation trends by sun photometer on daily, monthly, and seasonal scales. The original AOD measurements of the sun photometer show good correlations with satellite observations by MODIS (R = 0.97), and AHI (R = 0.89), respectively, corresponding to their different optimal spatial and temporal windows for matching with collocated satellite ground pixels. However, MODIS is less stable for aerosols of different concentrations and particle sizes. Most of the linear regression intercepts between the satellite and the photometer are less than 0.1, indicating that the errors due to surface reflectance in the inversion are small, and the slope is least biased (AHI: slope = 0.91, MODIS: slope = 0.18) in the noon period (11 a.m.–2 p.m.) and most biased in summer (AHI: slope = 0.77, MODIS: slope = 1.31), probably due to errors in the aerosol model. The daily and seasonal variation trends between CE-318 AOD measurements in the Gucheng site and fine particulate observations from the national air quality site nearby were also compared and investigated. In addition, a typical haze–dust complex pollution event in North China was analyzed and the changes in AOD during the pollution event were quantified. In processing, we use sun photometer and satellite AOD data in combination with meteorological and PM data. Overall, this paper has implications for the study of AOD evolution patterns at different time scales, the association between PM2.5 concentrations and AOD changes, and pollution monitoring.
A Multi-Aspect Permutation Test for Goodness-of-Fit Problems
Authors: Arboretti Rosa , Barzizza Elena , Biasetton Nicolò , Ceccato Riccardo , Corain Livio , Salmaso Luigi
Published: June 2022

Parametric techniques commonly rely on specific distributional assumptions. It is therefore fundamental to preliminarily identify the eventual violations of such assumptions. Therefore, appropriate testing procedures are required for this purpose to deal with a the goodness-of-fit (GoF) problem. This task can be quite challenging, especially with small sample sizes and multivariate data. Previous studiesshowed how a GoF problem can be easily represented through a traditional two-sample system of hypotheses. Following this idea, in this paper, we propose a multi-aspect permutation-based test to deal with the multivariate goodness-of-fit, taking advantage of the nonparametric combination (NPC) methodology. A simulation study is then conducted to evaluate the performance of our proposal and to identify the eventual critical scenarios. Finally, a real data application is considered.
A New Species of the Spider Genus Parabatinga Polotow and Brescovit, 2009 (Araneae: Ctenidae), from the Brazilian Amazonia
Authors: Brescovit Antonio Domingos , Cizauskas Igor , Polotow Daniele
Published: June 2022

Parabatinga danielae sp. n. is described and illustrated based on material collected in caves of the Carajás region, state of Pará, Brazilian Amazonia. With the inclusion of the second species in the genus, we propose here a new diagnosis for Parabatinga and its type species, P. brevipes (Keyserling, 1891).
Reclassification of Heart Failure with Preserved Ejection Fraction Following Cardiac Sympathetic Nervous System Activation: A New Cutoff Value of 58%
Authors: Goto Toshihiko , Nakayama Takafumi , Yamamoto Junki , Mori Kento , Shintani Yasuhiro , Kikuchi Shohei , Fujita Hiroshi , Fukuta Hidekatsu , Seo Yoshihiro
Published: June 2022

Heart failure (HF) with preserved left ventricular ejection fraction (LVEF) is a heterogeneous syndrome. An LVEF of 50% is widely used to categorize patients with HF; however, this is controversial. Previously, we have reported that patients with an LVEF of ≥ 58% have good prognoses. Further, cardiac sympathetic nervous system (SNS) activation is a feature of HF. In this retrospective, observational study, the cardiac SNS activity of HF patients (n = 63, age: 78.4 ± 9.6 years; male 49.2%) with LVEF ≥ 58% (n = 15) and LVEF < 58% (n = 48) were compared using 123I-metaiodobenzylguanidine scintigraphy. During the follow-up period (median, 3.0 years), 18 all-cause deaths occurred. The delayed heart/mediastinum (H/M) ratio was significantly higher in the LVEF ≥ 58% group than in the LVEF < 58% group (2.1 ± 0.3 vs. 1.7 ± 0.4, p = 0.004), and all-cause mortality was significantly lower in patients in the former than those in the latter group (log-rank, p = 0.04). However, when these patients were divided into LVEF ≥ 50% (n = 22) and LVEF < 50% (n = 41) groups, no significant differences were found in the delayed H/M ratio, and the all-cause mortality did not differ between the groups (log-rank, p = 0.09). In conclusion, an LVEF of 58% is suitable for reclassifying patients with HF according to cardiac SNS activity.
Prevalence of Common Diseases in Indigenous People in Colombia
Authors: Bauer Hannah , Concha Mendoza Gustavo Andrés , Kreienbrock Lothar , Hartmann Maria , Frickmann Hagen , Kann Simone
Published: June 2022

The Indigenous tribe called the Wiwa lives retracted in the Sierra Nevada de Santa Marta, Colombia. Little is known about their health status and whether the health care system in place covers their needs. In 2017 and 2018, a permanent physician was in charge for the Wiwa. Diseases and complaints were registered, ranked, and classified with the ICD-10 coding. Datasets from the Indigenous health care provider Dusakawi, collected from local health points and health brigades travelling sporadically into the fields for short visits, were compared. Furthermore, a list of provided medication was evaluated regarding the recorded needs. The most common complaints found were respiratory, infectious and parasitic, and digestive diseases. The top ten diagnoses collected in the health points and in the health brigade datasets were similar, although with a different ranking. The available medication showed a basic coverage only, with a critical lack of treatment for many severe, chronic, and life-threatening diseases. Most of the detected diseases in the Indigenous population are avoidable by an improvement in health care access, an expansion of the provided medication, and an increase in knowledge, hygiene, and life standards.
Normative Values of the Groffman Visual Tracing Test for the Assessment of Oculomotor Performance in the Adult Population
Authors: Facchin Alessio , Mischi Elisa , Iannello Camilla , Maffioletti Silvio , Daini Roberta
Published: June 2022

The Groffman visual tracing (GVT) test is an indirect psychometric measure of oculomotor performance, used for the clinical assessment of eye movements. The test consists of two cards with five contorted lines of increasing overlap, crowding, and difficulty. The task starts from each of the letters at the top of the page, follows the line from the letter to the corresponding number at the bottom of the page, and the number is named. Although the GVT test was developed for the evaluation of children, it has also been applied to adults with visual and cognitive deficits. However, it lacks reference values. Therefore, the aim of the study was to assess oculomotor behavior across the typical human lifespan and to define normative data in an adult population. A total of 526 adults aged between 20 and 79 years, all without neurological or psychiatric deficits, were enrolled in the study. The results were analyzed by considering the accuracy and execution times separately. An influence of age, education and sex for accuracy was found, and age for the execution times was found. Norms for adults were developed considering the specific structure of the test and the accuracy and the execution time separately. The GVT test can now be applied in healthy and neurological adult populations for the evaluation of oculomotor performance.
The Irreducibility of Vision: Gestalt, Crowding and the Fundamentals of Vision
Authors: Herzog Michael H.
Published: June 2022

What is fundamental in vision has been discussed for millennia. For philosophical realists and the physiological approach to vision, the objects of the outer world are truly given, and failures to perceive objects properly, such as in illusions, are just sporadic misperceptions. The goal is to replace the subjectivity of the mind by careful physiological analyses. Continental philosophy and the Gestaltists are rather skeptical or ignorant about external objects. The percepts themselves are their starting point, because it is hard to deny the truth of one own′s percepts. I will show that, whereas both approaches can well explain many visual phenomena with classic visual stimuli, they both have trouble when stimuli become slightly more complex. I suggest that these failures have a deeper conceptual reason, namely that their foundations (objects, percepts) do not hold true. I propose that only physical states exist in a mind independent manner and that everyday objects, such as bottles and trees, are perceived in a mind-dependent way. The fundamental processing units to process objects are extended windows of unconscious processing, followed by short, discrete conscious percepts.
Lane Line Identification and Research Based on Markov Random Field
Authors: Ding Fang , Wang Aiguo , Zhang Qianbin
Published: June 2022

In view of the poor robustness and low accuracy in lane line identification based on digital image processing, this paper proposes a Markov random field intelligent algorithm based on machine learning to identify lane lines. The complete lane line identification steps are as follows: First, high-quality traffic scenario images are created by means of image preprocessing, which includes image graying, grayscale transformation, and the extraction of regions of interest (ROIs). Then, the images are modeled according to Markov random field theory, and model reasoning is performed based on the binary graph cut method. In the reasoning process, to achieve accurate lane line segmentation, i.e., the optimal solution of the model, the energy potential function is introduced to optimize the binary graph cut method. Finally, the lane line pixel label is marked according to the segmentation result. The experiments showed that the algorithm could accurately segment the lane line pixels after only 10 iterations, indicating that the identification method has good performance in both reasoning speed and identification accuracy, which takes account of both accuracy and real-time processing, and can meet the requirements of lane recognition for lightweight automatic driving systems.
Sex formation in carp and factors influence on its differentiation
Authors:   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Agricultural Academy named after K. A. Timiryazev”, Russia, Moscow, Vlasov V. A.
Published: June 2022

The mechanisms that determine and regulate the sex of carp have been discussed in the article. Studies of the mechanisms that determine and regulate sex in fish are of considerable interest from the point of view of the possibility of active exposure such as both on the processes of individual growth and on the possibility of increasing the number of individuals of the sex having economically valuable qualities (growth rate, survival rate, quality and quantity of eggs, etc.). Differentiation underlies morphogenesis and occurs mainly in the process of embryonic development, as well as in postembryonic development and in some organs of the adult organism. The main factor of differentiation is the differences in the cytoplasm of early embryonic cells due to the heterogeneity of the cytoplasm of the egg and the specific infl uence of neighboring cells such as induction. It has been found that both heredity and external factors (temperature and pH of water during incubation, gamete size, feed quality, age selection of producers) influence the sex of carp. When feeding carp brood fish with a low protein diet during their reproduction, females dominated the offspring (62 %), and males dominated the high protein diet (56 %). When reproducing older carp brood fish (10 years or more) males predominated in the offspring, with the selection of middle-aged (7-8 years) males also prevailed, and when selecting young (4-5 years old), females prevailed. Homogeneous selection of gametes, i.e. when fertilizing large-sized eggs with large sperms, significantly more females have been obtained in the offspring, and when using small gametes, males dominated in the offspring. With heterogeneous types of gamete selection, sperm played a crucial role in determining sex.
Experience of application of an alternative source of protein for feeding of broiler chickens
Authors:   Federal State Budgetary Educational Institution of Higher Education “Belgorod State Agrarian University named after V. Ya. Gorin”, Russia, Belgorod region, Maysky, Yavnikov N. V. , Tkachev A. V. ,   Belgorod State National Research University, Russia, Belgorod
Published: June 2022

Proteins are obligated components of cells of any living organism that perform vital functions: catalytic, regulatory, transport, bioenergetic, protective against infections and other stress factors, structural, spare, etc. The purpose of the work was to evaluate the effect of the feed additive „Feed bioprotein“ in the form of powder on the main economic indicators characterizing the efficiency of broiler chickens rearing. „Feed bioprotein“ is a high-protein feed additive and is a biomass of inactivated methanassimilating bacteria Methylococcus capsulatus. The high content of protein and essential amino acids in the composition of this feed additive allows it to be introduced into the feed including for broiler chickens to replace other high-protein components such as fish and meat and bone meal, soy and sunflower meal. When conducting a production experiment on broiler chickens in the cross Ross 308, feed which was used to feed the poultry of the experimental groups, in which a feed additive was introduced, both in the minimum and maximum dosage recommended by the manufacturer for this species of animals. Broiler chickens of the control group have been received feed prepared according to a standard recipe. At the end of the 41 day rearing cycle in the experimental groups, the average daily gain in live weight exceeded the results of the control group by 2,6–5,1 %, feed conversion was by 2,3–3,4 % higher, and poultry livability was by 2 abs.% higher than in the control group. At the same time, higher rates have been observed in the group where the feed additive “Feed bioprotein” was used in the maximum dosage.
The use of mineral additives in the rations of horses
Authors:   Federal State Budgetary Educational Institution of Higher Education “Kurgan State Agricultural Academy named after T. S. Maltsev”, Russia, Kurgan region, Lesnikovo, Karmatskikh Yu. A. , Ivanova I. E. ,   Federal State Budgetary Educational Institution of Higher Education “Kurgan State Agricultural Academy named after T. S. Maltsev”, Russia, Kurgan region, Lesnikovo, Kostomakhin N. M. ,   Federal State Budgetary Educational Institution of Higher Education “Russian State Agrarian University – Moscow Timiryazev Agricultural Academy”, Russia, Moscow
Published: June 2022

One of the main conditions for the further development of horse breeding, improving the quality and reducing the cost of production is a complete feeding of horses depending on the intake of energy, protein, minerals and vitamins into the body. The purpose of the research was to study the use of bentonite clay from the Zyryansk deposit as a mineral additive in the rations of brood mares and young horses of Oryol trotting breed. Analysis of the ration used for feeding experimental animals showed that they provided the needs of horses in normalized nutrition indicators, with the exception of a number of minerals in the control group. It was found that the coefficient of digestibility of dry matter in mares in the control group was 0,72 abs.% lower than in the experimental group. The organic matter the mares of the experimental group was digested more than the control group by 0,90 abs.%. The coefficient of digestibility of crude protein in mares of the control group was less by 1,51 abs.% (P < 0,05), compared with herdmates of the experimental group. The digestibility of crude fiber in mares of the experimental group who consumed bentonite compared with mares of the control group was higher by 3,39 abs.% (P < 0,05). Mares of the control group digested crude fat worse than analogues from the experimental group by 1,15 abs.%, and nitrogen-free extractive substances by 0,70 abs.%. The study of indicators characterizing the growth and development of young animals, as well as the analysis of conformation indices showed that the foals of the experimental group had superiority over their control herdmates in terms of the complex of studied indicators.
Management-audit of process-oriented enterprises: problems and methodology
Authors: Tupkalo Viltalii , Cherepkov Serhii , Dulia Valerii
Published: June 2022

Authors elements of management-audit scientific and methodical apparatus of process-oriented enterprises based on controlling rules of selection, composition and visual (graphic) representation of the business process system using process modelling language TML are presented.
Studi Penggunaan Spent Catalyst Sebagai Substitusi Agregat Halus Pada Campuran Lataston HRS-WC
Authors: Falderika Falderika
Published: June 2022

Dalam rangka meningkatkan mutu strukrur perkerasan beton aspal, dicari alternatif â€“ alternatif bahan untuk dicampur dengan aspal ataupun agragat, salah satunya limbah Spent Catalyst sebagai bahan substitusi. Tujuan dari penelitian ini untuk melihat parameter Marshall akibat pengaruh Spent Catalyst tersebut pada campuran Lataston HRS â€“ WC dan menentukan kadar aspal optimum dari masing â€“ masing variasi kadar aspal Spent Catalyst dari bahan substitusi.

Berdasarkan hasil pengujian di laboratorium, maka diperoleh kesimpulan antara lain kadar aspal optimum (KAO) untuk  0%, 50% dan 100% substitusi Spent Catalyst  diperoleh sebesar  9%  dan hasil analisis yang diperoleh bahwa pada kadar 0% dari Spent Catalyst stabilitas dan flow menurun, VFA mencapai nilai maksimum pada kadar Spent Catalyst 50% dimana VIM dan VMA menurun.

Dari penelitian ini dapat dilihat bahwa penggunaan Spent Catalyst sebagai bahan substitusi campuran HRS â€“ WC berdampak negatif karena mengakibatkan menurunnya nilai stabilitas.
Pengaruh Aglomerasi Industri Terhadap Short Sea Shipping Sebagai Kompetitor Truk Untuk Angkutan Kontainer
Authors: Aulia Donie , Syabri Ibnu , Dirgahayani Puspita , Pradono Pradono
Published: June 2022

Indonesia adalah negara kepulauan, namun angkutan barang masih didominasi oleh transportasi darat (truk). Padahal angkutan laut jauh lebih efisien dan memiliki kapasitas transportasi lebih. Tujuan dari penelitian ini adalah untuk membandingkan biaya dan waktu pengangkutan barang antara truk (unimoda) dengan Short Sea Shipping (intermoda) pada teori angkutan barang koridor tunggal dengan skenario lokasi industri (aglomerasi). Studi kasus adalah pengiriman kontainer area Kota Bandung Jawa Barat ke kota Medan Sumatera Utara. Transportasi kontainer menggunakan truk kontainer dan kapal kontainer. Hasil analisa menunjukkan biaya dan waktu apabila lokasi indusstri jauh dari pelabuhan maka biaya dan waktu menggunakan truk adalah 15 juta dan 77,2 jam, sedangkan menggunakan Short Sea Shipping 19 juta dan 183,6 jam. Apabila lokasi industry terletak di kawasan pelabuhan laut maka, biaya dan waktu angkut menggunakan truk adalah 10 juta dan  179,6 jam, sedangkan menggunakan Short Sea Shipping adalah 15,5 juta dan 74 jam. Terjadi efisiensi biaya dan waktu sebesar 33% dan 6% bila lokasi industry/pabrik berada di kawasan pelabuhan.
ANALISIS PENENTU HARGA JUAL RUMAH TINGGAL DI CITY GARDEN RESIDENCE
Authors: Aulia M Donie
Published: June 2022

Proyek Perumahan City Garden Residence merupakan proyek pembangunan komplek perumahan. Pihak developer harus menganalisis biaya keluar dan biaya masuk sebagai salah satu bentuk analisis yang dilakukan untuk mengetahui keuntungan atau kerugian yang dialami oleh pihak developer. Analisis dilakukan dengan menggunakan metode IRR dengan penyesuaian asumsi yang telah disebutkan. Dari hasil analisis tersebut, dapat diketahui biaya-biaya apa saja yang dibutuhkan dalam pembangunan rumah, antara lain biaya pembangunan rumah, dan biaya-biaya lain yang dibutuhkan selain biaya pembangunan rumah. Semakin banyak fasilitas yang dibuat maka semakin besar biaya pembangunan yang mengakibatkan harga jual rumah di kawasan perumahan tersebut meningkat. Dari hasil analisis, didapatkan nilai IRR berdasarkan simulasi yang diambil sebesar 21.58674564 %. Dan keuntungan yang diperoleh pihak developer adalah sebesar Rp. 33,712,802,861.
Polycystic Ovary Syndrome: Insights from Preclinical Research
Authors: Reckelhoff Jane F. , Shawky Noha M. , Romero Damian G. , Yanes Cardozo Licy L.
Published: June 2022

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age, affecting approximately 10%. PCOS is diagnosed by the presence of at least two of these three criteria: hyperandrogenemia, oligo- or anovulation, and polycystic ovaries. The most common type (80%) of PCOS includes hyperandrogenemia. PCOS is also characterized by obesity or overweight (in 80% of US women with PCOS), insulin resistance with elevated plasma insulin but not necessarily hyperglycemia, dyslipidemia, proteinuria, and elevated BP. Although elevated compared with age-matched controls, BP may not reach levels considered treatable according to the current clinical hypertension guidelines. However, it is well known that elevated BP, even modestly so, increases the risk of cardiovascular disease. We have developed a model of hyperandrogenemia in rodents that mimics the characteristics of PCOS in women, with increases in body weight, insulin resistance, dyslipidemia, andproteinuria and elevated BP. This review discusses potential mechanisms responsible for the elevated BP in the adult and aging PCOS rat model that may be extrapolated to women with PCOS.
Development of Moderate Intensity Focused Ultrasound (MIFU) for Ocular Drug Delivery
Authors: Gonzalez-Calle Alejandra , Li Runze , Asante Isaac , Martinez-Camarillo Juan Carlos , Louie Stan , Zhou Qifa , Humayun Mark S.
Published: June 2022

The purpose of this study is to develop a method for delivering antiinflammatory agents of high molecular weight (e.g., Avastin) into the posterior segment that does not require injections into the eye (i.e., intravitreal injections; IVT). Diseases affecting the posterior segment of the eye are currently treated with monthly to bimonthly intravitreal injections, which can predispose patients to severe albeit rare complications like endophthalmitis, retinal detachment, traumatic cataract, and/or increased intraocular. In this study, we show that one time moderate intensity focused ultrasound (MIFU) treatment can facilitate the penetration of large molecules across the scleral barrier, showing promising evidence that this is a viable method to deliver high molecular weight medications not invasively. To validate the efficacy of the drug delivery system, IVT injections of vascular endothelial growth factor (VEGF) were used to create an animal model of retinopathy. The creation of this model allowed us to test anti-VEGF medications and evaluate the efficacy of the treatment. In vivo testing showed that animals treated with our MIFU device improved on the retinal tortuosity and clinical dilation compared to the control group while evaluating fluorescein angiogram (FA) Images.
Musevilerin Yılbaşı Bayramına Simgesel Bir Yaklaşım: Antakya’da Roş Aşana
Authors: ŞAHİN Kadriye
Published: June 2022

Museviler uzun yıllardır Antakya’da yaşayan cemaatlerden birisidir. Bu araştırmanın amacı Antakya’da yaşayan Musevilerin zaman algısı ve inançları bağlamında simgesel yaklaşımla ritüellerini analiz etmektir. Bayramlar dini kimliği sürdüren, öteki ile sınırları çizen simgesel birçok geleneğin etrafında kurallara bağlanmış ritüellerdir birisidir. Roş Aşana Musevilerin Yılbaşı Bayramı olup, eylül ayının ikinci haftasında kutlanır. Yeni bir yıla giriş bu bayramda yapılması zorunlu olan simgesel birtakım davranış ve tüketim geleneklerini içinde barındırır. Alan araştırması yöntemi kullanılan çalışmada, katılımlı gözlem ve derinlemesine görüşme teknikleri ile elde dilen bulgular simgesel bir yaklaşımla betimlenmeye çalışılmıştır. Din ve yemek arasındaki ilişkiler cemaat tarafından kutsal veya tabu olan yiyecek ve içeceklerin işlevi üzerinden ortaya konmuştur. Bu cemaatler dinsel inançlar ve uygulamalar doğrultusunda yiyecek ve içecekleri tabusal veya kutsal bir alana dönüştürmektedir. Bu alan dinsel inançlar ve uygulamalar ışığında yiyecek ve içeceklere yeniden simgesel anlam yüklemekle oluşturulmaktadır. Yiyecek ve içeceklerin simgesel anlam ağı, söz konusu dinsel cemaatler, kutsal kitaplar, dini liderler, sözlü gelenekler aracılığıyla kültürel belleğin oluşmasından ve dinsel ritüellerin birer nesnesi haline getirilmelerinden oluşmaktadır. Sonuç olarak, Antakya’da yaşayan Musevilerin dinsel kimlikleri ve yiyecekler ile kurdukları simgesel bağın “Musevilik” kimliğinin sürdürülmesinde son derece önemli olduğu söylenebilir.
Racionális és irracionális döntések a fi atalok gyermekvállalásában 2000 és 2016 között
Authors: Bencze Ádám
Published: June 2022

Egy társadalom fennmaradásának egyik fontos alapköve önnön fi zikai reprodukciójának biztosítása, azonban a termékenységi arányszámok alapján erre Európa országainak többsége – benne Magyarország – erre az 1980-as évektől kezdődően nem képes. A tanulmányban a racionális döntéselmélet és annak kritikai elméletei segítségével szeretnénk a magyar fi atalok alacsony gyermekvállalási hajlandóságának okait megvizsgálni. Hipotéziseink szerint a célracionális és értékracionális, illetve a racionális és irracionális cselekvési mintázatok alapvetően meghatározzák a fi atalok gyermekvállalással kapcsolatos döntéseit. A tanulmányban az Ifj úság 2000, az Ifj úság 2004, az Ifj úság 2008, a Magyar Ifj úság 2012 és a Magyar Ifj úság Kutatás 2016 országos reprezentatív kutatások adatbázisait felhasználva longitudinálisan vizsgáltuk a magyarországi 15-29 éves fi atalok gyermekvállalással kapcsolatos tervezett döntéseit. Eredményeink szerint a fi atalok között nőtt a gyermektelenek és a tanulmányaikat befejezők aránya; nőtt a tervezett gyermekszám, a nagycsaládot tervezők és a három éven belül gyermeket tervezők aránya; csökkent az anyagi okok és a lakáskörülményeket miatt gyermekvállalást nem tervezők aránya. A fi atalok szerint a gyermekvállalás a boldogságot és az emberi kapcsolatokat pozitívan befolyásolja, míg az anyagi helyzetre, a szexuális életre, a tanulásra, a karrierre és a szabadidőre nincs hatással. Klaszterelemzésünk csoportjai eltértek a tervezett gyermekszámban, a három éven belül tervezett gyermekszámban és a nemek arányaiban, valamint gyermekvállalási terveik relatív racionalitásában.
Virtual environments for the practical training of ICT engineering students: supported by the e-learning modality
Authors: VAZQUEZ-MORENO Erika Ercilia , VAZQUEZ-MORENO Dolores Guadalupe , PORTELA-PEÑUÑURI Luis Tadeo , TOLANO-GUTIERREZ Karina
Published: June 2022

This work consists of a mixed-type investigation that consists of the development of digital materials for teaching-learning through a digital platform, for the academic performance of the students of the engineering career in information technologies of the ninth semester of the Technological University of the South of Sonora.
Perceptions of technological and didactic strategies for the teaching-learning process in the face of the COVID-19 pandemic
Authors: PÉREZ-GARMENDIA Gloria , RICALDE-FRANCO Gabriela , ZAPATA-DITTRICH Abel , CETINA-UC Pedro Pablo
Published: June 2022

The abrupt closure of schools due to the declaration of a pandemic by the World Health Organization caused by the SARS-CoV-2 coronavirus in March 2020, led teachers and students to seek strategies to continue teaching and learning in the way their skills allowed them to use digital platforms and tools in the teaching-learning process. There were those who faced with quite robust skills that allowed them to remain in a feeling of confidence to continue with their classes, others who were "run over by technology" were those who had feelings of incompetence to develop their teaching activities and those who suffered in their confinement, who were skilled in their subject, but were removed from their classroom. The type of research is based on phenomenology, (Martínez, 1999) within qualitative research, (Hernández, 2014) as a direct expression of the key informants, which allowed to describe, group and interpret the findings in the process of adaptation of a disruptive moment in the teaching-learning process in an academic department.
Virtual education in universities
Authors: RIVERA-GUTIÉRREZ Erika , HIGUERA-ZIMBRÓN Alejandro
Published: June 2022

The Universidad Autónoma del Estado de México, with the commitment to incorporate information and communications technology, established the Distance Education Department in the 1990s. However, some academic institutions to date does not have a specific coordination of Distance Education, the School of Architecture and Design is no exception. This has been overwhelmed by the change in face-to-face education because of the pandemic COVID-19 to virtual education. Therefore, the need arises to set up strategies for the implementation of virtual and distance education in the School of Architecture and Design of the UAEM, which will be serves as a reference in other academic institutions of the University, based on the Law of the Universidad Autónoma del Estado de México and its Estatuto Universitario. To achieve this, a qualitative method with a descriptive design has been implemented, through a scientific literature review; including a historical framework, legal framework, contextual framework was determined; supported by the case study method; In addition, a procedure was defined to confirm the existence of the research problem. The results revealed the need for the FAD to develop a strategic planning adapted to the needs of virtual education. Finally, the most important elements of the proposal will be presented, based on a virtual education office that contributes to the current and future dynamics.