Arabic Sign Language Gesture Classification Using Deer Hunting Optimization with Machine Learning Model

Sign language includes the motion of the arms and hands to communicate with people with hearing disabilities.Several models have been available in the literature for sign language detection and classification for enhanced outcomes.But the latest advancements in computer vision enable us to perform signs/gesture recognition using deep neural networks.This paper introduces an Arabic Sign Language Gesture Classification using Deer Hunting Optimization with Machine Learning(ASLGC-DHOML)model.The presented ASLGC-DHOML technique mainly concentrates on recognising and classifying sign language gestures.The presented ASLGC-DHOML model primarily pre-processes the input gesture images and generates feature vectors using the densely connected network(DenseNet169)model.For gesture recognition and classification,a multilayer perceptron(MLP)classifier is exploited to recognize and classify the existence of sign language gestures.Lastly,the DHO algorithm is utilized for parameter optimization of the MLP model.The experimental results of the ASLGC-DHOML model are tested and the outcomes are inspected under distinct aspects.The comparison analysis highlighted that the ASLGC-DHOML method has resulted in enhanced gesture classification results than other techniques with maximum accuracy of 92.88%.

Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data

Currently,individuals use online social media,namely Facebook or Twitter,for sharing their thoughts and emotions.Detection of emotions on social networking sites’finds useful in several applications in social welfare,commerce,public health,and so on.Emotion is expressed in several means,like facial and speech expressions,gestures,and written text.Emotion recognition in a text document is a content-based classification problem that includes notions from deep learning(DL)and natural language processing(NLP)domains.This article proposes a Deer HuntingOptimizationwithDeep Belief Network Enabled Emotion Classification(DHODBN-EC)on English Twitter Data in this study.The presented DHODBN-EC model aims to examine the existence of distinct emotion classes in tweets.At the introductory level,the DHODBN-EC technique pre-processes the tweets at different levels.Besides,the word2vec feature extraction process is applied to generate the word embedding process.For emotion classification,the DHODBN-EC model utilizes the DBN model,which helps to determine distinct emotion class labels.Lastly,the DHO algorithm is leveraged for optimal hyperparameter adjustment of the DBN technique.An extensive range of experimental analyses can be executed to demonstrate the enhanced performance of the DHODBN-EC approach.A comprehensive comparison study exhibited the improvements of the DHODBN-EC model over other approaches with increased accuracy of 96.67%.

Automated Red Deer Algorithm with Deep Learning Enabled Hyperspectral Image Classification

Hyperspectral(HS)image classification is a hot research area due to challenging issues such as existence of high dimensionality,restricted training data,etc.Precise recognition of features from the HS images is important for effective classification outcomes.Additionally,the recent advancements of deep learning(DL)models make it possible in several application areas.In addition,the performance of the DL models is mainly based on the hyperparameter setting which can be resolved by the design of metaheuristics.In this view,this article develops an automated red deer algorithm with deep learning enabled hyperspec-tral image(HSI)classification(RDADL-HIC)technique.The proposed RDADL-HIC technique aims to effectively determine the HSI images.In addition,the RDADL-HIC technique comprises a NASNetLarge model with Adagrad optimi-zer.Moreover,RDA with gated recurrent unit(GRU)approach is used for the identification and classification of HSIs.The design of Adagrad optimizer with RDA helps to optimally tune the hyperparameters of the NASNetLarge and GRU models respectively.The experimental results stated the supremacy of the RDADL-HIC model and the results are inspected interms of different measures.The comparison study of the RDADL-HIC model demonstrated the enhanced per-formance over its recent state of art approaches.

Regional Copper Deficiency in White-Tailed Deer

Minerals are critical in maintaining health and physiological function in wildlife. Geographic variation in soil and forage mineral concentration may predispose wildlife to mineral imbalances, where a common symptom is restricted somatic growth. We investigated if mineral imbalances could explain localized differences in morphology of white-tailed deer (Odocoileus virginianus) occurring in geographically proximate sites with similar management, climate, and habitat. We collected serum samples and morphological measurements from free-ranging white-tailed deer captured during 2011-2019 from coastal and inland rangeland sites in South Texas, USA. We measured mineral concentrations in serum from captured deer at each location. Asymptotic deer body mass and antler size averaged 8% - 20% smaller for deer at the coastal compared to the inland site. The proportion of deer with deficient levels of serum copper was greater at the coastal site (66% versus 14%). Our results suggest regional mineral deficiencies in deer may limit antler and body development. Wildlife managers should be aware of all aspects of wildlife nutrition and the importance of considering nutrients beyond energy and protein.

John Deere公司9R系列新型轮式拖拉机

介绍了John Deere公司的9R系列新拖拉机主要部件的技术性能和结构特点,为我国拖拉机行业科研单位和生产企业进一步研究开发拖拉机新产品提供参考。

Characterization and Deer-Repellent Property of Chrysophanol and Emodin from Sicklepod Weed

Deer, particularly white-tailed deer (Odocoileus virginianus), damage row crops such as soybean (Glycine max L.) and are a perceived problem in the continental US. Currently, the only widely used technique to control deer from crop browsing is establishment of fences, which is expensive, labor intensive, and most of the time ineffective. Studies have shown that sicklepod, Senna obtusifolia (L.), contains anthraquinone derivatives, which in separate studies were shown to be toxic to cattle, rats, rabbits, and horses, and repel herbivores primarily birds. However, information of the deer-repelling property of anthraquinone in sicklepod is lacking. Field tests conducted at our Captive Deer Facility at MississippiStateUniversity(MSU) confirmed the deer-repelling property of anthraquinone extracts from sicklepod. Soybean plants applied with control treatment (water) were browsed by deer, while plants applied with sicklepod anthraquinone extracts were avoided. Using chromatography techniques, we found the levels of anthraquinone derivatives (chrysophanol, emodin) in sicklepod plant parts in the order: root > fruit > stem/leaf. Hydrolysis of water extracts of sicklepod seed produced high emodin concentration, suggesting emodin glycoside as the main form of anthraquinone glycoside in sicklepod seed. Deer-repelling compounds can be extracted in its pure form from sicklepod and applied on soybean to increase its repelling efficacy on deer, and at the same time protect soybean yields.

FEEDING HABITS OF HAINAN ELDI'S DEER

Hainan eldi’s deer is a precious species of deer in the tropic zone,it is regardedas the first—class animal under protection in China.Based on all-year-round observation on thedeer’s feeding habit in the reserve from 1985 to 1988,we discovered that Hainan eldi’s deer is aeuryphangous herbivore.They take various herbs as their main food and have fairly strongselectivity for woody plants,especially tending to eat the tender parts of plants and some fruits andflowers.Like other species of deer,they also like to lick the alkaline soil.This paper reports the re-search and evaluation on the feeding and choosing food characteristics of Hainan eldi’s deer,and onthe palatability of the main plants in the reserve.

The nutritional composition and digestion of plants foraged by red deer(Cervus elaphus xanthopygus) in northeast China

We studied species of plants foraged by red deer in the Muling forest region of northeastern China during January 2014 and 2015. We focused on nutritional composition, energy content, and the digestibility of these plants. Crude protein content varied by plant species.Average crude protein content was 7.5 ± 1.7% of dry matter, ranging from 4.5 to 10.3%. Crude lipid content did not vary by species and averaged 7 ± 1.5%(range5.4–9.8%). Non-fiber carbohydrate(NFC) and neutral detergent fiber(NDF) content varied broadly with average values being 20.1 ± 4.8%(range 13.5–28.8%) and64.7 ± 5.9%(range 53.5–71.8%), respectively. Energy content ranged from 16.7 to 19.7 k J/g. Average dry matter digestibility(DMD) was 46.1 ± 4.8%, with a range from38.7 to 54.6%. Only three plants, Saussurea manshurica,Aralia elata and Equisetum hyemale exhibited DMD [ 50%. NFC content explained most of the variation in energy content(r = 0.451). In contrast, energy content was inversely related to NDF(r =-0.443). There was no correlation between crude protein, crude lipid, and energy content(r_(protein)= 0.004, r_(lipid)=-0.190). S. manshurica,A. elata and E. hyemale had higher NFC and lower NDF content. Thus, these species offered the greatest nutritional value for wintering red deer in the study area. Along with high CP and NFC content, Taxus cuspidate also had high lignin content, and was thus, considered a good forage species for red deer.

Collagen from Tendon of Yezo Sika Deer (<i>Cervus nippon yesoensis</i>) as By-Product

Collagen from tendon of Yezo sika deer was prepared by limited pepsin digestion. The yield of collagen was very high;35.7% on the basis of lyophilized dry weight. The secondary structure of this collagen was different from that of porcine skin by ATR-FTIR analysis, although it was the same characteristics, e.g. SDS-PAGE, subunit composition, ther-mal behavior, as porcine collagen. Since taking up a problem of bovine spongiform encephalopathy infection in land animals such as calf or bovine, collagen from aquatic materials has been used in various industries. However, the present study indicates that tendon of Yezo sika deer as by-product of meat industry will have potential as an important collagen source for use in the foods, cosmetics, and medical fields.

Deer Body Adaptive Threshold Segmentation Algorithm Based on Color Space

In large-scale deer farming image analysis,K-means or maximum between-class variance(Otsu)algorithms can be used to distinguish the deer from the background.However,in an actual breeding environment,the barbed wire or chain-link fencing has a certain isolating effect on the deer which greatly interferes with the identification of the individual deer.Also,when the target and background grey values are similar,the multiple background targets cannot be completely separated.To better identify the posture and behaviour of deer in a deer shed,we used digital image processing to separate the deer from the background.To address the problems mentioned above,this paper proposes an adaptive threshold segmentation algorithm based on color space.First,the original image is pre-processed and optimized.On this basis,the data are enhanced and contrasted.Next,color space is used to extract the several backgrounds through various color channels,then the adaptive space segmentation of the extracted part of the color space is performed.Based on the segmentation effect of the traditional Otsu algorithm,we designed a comparative experiment that divided the four postures of turning,getting up,lying,and standing,and successfully separated multiple target deer from the background.Experimental results show that compared with K-means,Otsu and hue saturation value(HSV)+K-means,this method is better in performance and accuracy for adaptive segmentation of deer in artificial breeding scenes and can be used to separate artificially cultivated deer from their backgrounds.Both the subjective and objective aspects achieved good segmentation results.This article lays a foundation for the effective identification of abnormal behaviour in sika deer.

Variation in winter daily range area of red deer(Cervus elaphus xanthopygus) based on DNA extracted from fecal samples

With environmental change and increased human activity,wild red deer(Cervus elaphus xanthopygus)populations and habitat area continue to decrease.Red deer is a main prey species of Amur tiger(Panthera tigris altaica).Factors affecting red deer winter home range in the Wanda montains of northeast China are not well understood.In this study,we aimed to better document red deer daily ranges to support conservation of red deer.A second objective was to develop a practical research method combining macro-and micro-technology for home range research on a variety of rare or endangered wild species.We collected 105 fresh fecal samples of red deer in three different periods during winter from December 2012 to March 2013 in the Wandashan region,Heilongjiang Province,China.Individual and sex identities were analyzed based on fecal DNA using microsatellite DNA.We used samples from deer farms for correction and validation of our identifications from field samples.We used a combination of molecular scatology,3S techniques(GPS),and direct observation to estimate winter daily range areas.Based on eleven microsatellite loci,we identified 18 individuals,10 females and 8 males,with a correction factor of 1.00 and sex ratio of 1:0.8.The mean(±SE)number of alleles was 5.1±0.41,and mean polymorphism information content was 0.63±0.03.Expected heterozygosity ranged from 0.46 to 0.81,with a mean of 0.69±0.03,and mean observed heterozygosity was 0.73±0.07.Sizes of mean daily ranges were 26.1±1.1 ha in December,89.3±1.6 ha in January,and 67.5±1.9 ha in March,indicating the following trend for daily range area:middle winter>late winter>early winter.Mean daily range area was insignificantly larger for males than for females.Estimated winter daily ranges were similar to those reported for Europe.Our combination of macro-and micro-technology proved useful for estimating winter home range areas of red deer.

Population structures and spatial patterns of two unpalatable Arisaema species(Araceae) with and without clonal reproduction in a riparian forest intensively grazed by Sika deer

General decline of understory cover can result from increased abundance of and foraging pressure by deer.But population size and degree of aggregation can increase for unpalatable understory plants that escape foraging pressure.Clonal reproduction can enable unpalatable plant species to increase their population sizes while trending toward spatially aggregated distributions.However,the details of the relationship between clonal reproduction in unpalatable plants and their dynamics under intensive deer herbivory are not clear.We compared the population structures and spatial patterns of two coexisting unpalatable plant species,Arisaema ovale(with clonal reproduction)and A.peninsulae(without clonal reproduction)in a riparian forest intensively grazed by Sika deer,and examined the null hypothesis that the extent of spatial aggregation and local population size would not differ between the clonal and non-clonal Arisaema species.In a 0.36-ha plot,A.ovale had a larger population size(1087 individuals)with a higher abundance ratio of small plants(p<0.01)than A.peninsulae(84 individuals).Analyses of spatial point processes showed that both populations were spatially aggregated(p<0.05).The spatial aggregation of A.peninsulae,however,became weaker than that of A.ovale,when we excluded one dense patch originating from irregular seed dispersion.These results,excluding the aggregated distribution observed in A.peninsulae,suggested a substantial contribution of clonal reproduction to the expansion of the local A.ovale population following intensive grazing by Sika deer.

The Length and Density of Prickles on <i>Zanthoxylum ailanthoides</i>(Rutaceae): A Comparison of Japanese Islands with Different Sika Deer Browsing Pressures

To determine the effects of sika deer (Cervus nippon) browsing on the physical defences of the Japanese pricklyash “Zanthoxylum ailanthoides Sieb. et Zucc.” (Rutaceae), we compared the length and density of prickles on Japanese islands which were under different browsing pressures. We measured the length and density of prickles on the midribs, leaf rachis, and stems. We found that the prickles of Z. ailanthoides on Kashima island were not significantly longer or at higher densities than those in the neighbouring areas;the longest pickles at the highest densities were found on Akune island. The density of sika deer on Akune (ca. 520-600/km2) was higher than that on Kashima (ca. 38.5/km2), and consequently, Akune was under greater browsing pressure. Our results suggest that the increased length and density of prickles on Akune is a response by Z. ailanthoides to the high density of sika deer found on the island.

A Monophyletic Status of Axis Genus in Subfamily Cervinae Supported by the Complete Mitochondrial Genome of Chinese Hog Deer(Axis porcinus)

Hog deer(Axis porcinus)is a small mammal and listed in the International Union for Conservation of Nature.However,phylogenetic position of hog deer within Axis genus has remained controversial.In the present study,we first assembled complete mitochondrial genome of Chinese hog deer reared in Chengdu Zoo,Sichuan,by the second-generation sequencing technology.This newly assembled mitochondrial genome of hog deer is 16376 bp in length and consists of 13 protein-encoding genes,23 transfer RNA genes and 2 ribosomal RNA genes.Phylogenetic analyses based on complete mitochondrial genome and cytochrome b gene sequences revealed that hog deer is closely clustered together and placed with sister taxon of spotted deer(A.Axis),which therefore supported monophyletic statue of Axis genus.Furthermore,considerable genetic differentiation,up to 139 mutations of complete mitochondrial genome was revealed between geographical populations of hog deer in France and Southeast Asia.However,only six variable sites(nucleotide diversity of 0.00007)and four haplotypes(haplotype diversity of 0.533)were totally detected among ten newly sequenced Chinese hog deer.The results provide a better understanding on the phylogeny of hog deer.

Coyote Predation Effects on White-Tailed Deer Fawns

Coyotes (Canis latrans) are a relatively new predator to the southeastern United States, and may be negatively impacting white-tailed deer (Odocoileus virginianus;hereafter, deer) populations. Our objectives were to evaluate the impacts of coyotes on deer fawns by assessing deer fawn survival and cause-specific mortality, and gain an understanding of factors affecting fawn survival and coyote predation. We captured and radio collared 30 fawns in the Red Hills region of Florida and Georgia, USA (2012-2013). Fawns were monitored for 12 weeks for survival and cause-specific mortality, and we quantified habitat and environmental characteristics of birth sites. Predation (n = 19;95%) was the leading cause of fawn mortality (n = 20;67%), with coyote predation (n = 14;74%) being the most important type of predation. Survival rates for all fawns were greater (P = 0.048) where coyotes were removed compared to non-removal sites, with 50% and 25% of fawns surviving to 12 weeks on coyote-removal and non-removal sites, respectively. Survival rates of fawns ultimately predated by coyotes were greater (P = 0.096) on coyote-removal than non-removal sites, with 40% and 50% of fawns predated by coyotes within 12 weeks on coyote-removal and non-removal sites, respectively. Survival of all fawns and those predated by coyotes was lower when fawns were born at sites with greater hardwood basal area, total basal area, and canopy closure;and survival improved if born in or near hardwood, natural pine, and managed (planted) pine cover types. Increased canopy cover within 10 m of the birth site was selected by adult females for birth sites of all fawns and those that were predated by coyotes. Compared with fawns that lived, all dying fawns and those predated by coyotes had less shrub cover within 5 m and less grass cover at and within 10 m of the birth site. Coyote removal increased fawn daily survival rates, and habitat played a role in fawn survival.

Wintering Habitat Evaluation of Red Deer (Cervus elaphus)in Forest Area of Northeastern China

Six ultimate factors (forage abundance, horizontal sheltering class, distance from human disturbance,snow depth, tree coverage, and edge effect) of Red deer (Cervus elaphus) were investigated in eastern Heilongjiang Province during winter from 1988 to 1991. On the basis of analysis of field data, we evaluated winter habitat conditions of Red deer. The results showed as follows; the wintering habitat quality of Red deer in poplar-birch stands was excellent in the Wanda Mountains, and was moderate in shrub-woods and Korean pine seed stands.According to habitat index (HI) values, the habitat quality in poplar-birch stands (HI=0.8185) was superior to that in shrub-woods (HI=0.4825) and in Korean pine seed stands (HI=0.4385). The wintering habitat quality of Red deer in the Wanda Mountains was superior to that of Daning Forestry Region. According to the current situations of forestry areas in northeastern China, strengthening habitat management was important for the conservation and management of Red deer population in the next decades.

Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains

In eastern North America, white-tailed deer(Odocoileus virginianus) can have profound influences on forest biodiversity and forest successional processes.Moderate to high deer populations in the central Appalachians have resulted in lower forest biodiversity.Legacy effects in some areas persist even following deer population reductions or declines. This has prompted managers to consider deer population management goals in light of policies designed to support conservation of biodiversity and forest regeneration while continuing to support ample recreational hunting opportunities. However,despite known relationships between herbivory intensity and biodiversity impact, little information exists on the predictability of herbivory intensity across the varied and spatially diverse habitat conditions of the central Appalachians. We examined the predictability of browsing rates across central Appalachian landscapes at four environmental scales: vegetative community characteristics, physical environment, habitat configuration, and local human and deer population demographics. In an information-theoretic approach, we found that a model fitting the number of stems browsed relative to local vegetation characteristics received most(62%) of the overall support of all tested models assessing herbivory impact. Our data suggest that deer herbivory responded most predictably to differences in vegetation quantity and type. No other spatial factors or demographic factors consistently affected browsing intensity. Because herbivory, vegetation communities, and productivity vary spatially, we suggest that effective broad-scale herbivory impact assessment should include spatially-balanced vegetation monitoring that accounts for regional differences in deer forage preference.Effective monitoring is necessary to avoid biodiversity impacts and deleterious changes in vegetation community composition that are difficult to reverse and/or may not be detected using traditional deer-density based management goals.

Protein Nutrition in Red Deer (Cervus elaphus)

Red deer can adjust to seasonal change of forage quality to maintain a relatively constant crude protein level (21. 1±4.0, 14.7± 1 .0, 11. 1± 1. 1 and 6.5 ±0.8 in spring. summer. fall and winter. respectively). Apparent protein digestibility is variable from -99.9% to 97.5%, depending upon season and forage type. True protein digestibility is 99%. Digestion of protein is significantly influenced by phenolics in diets.Minimumm digestible energy intase of 153.5kcal/kg0.75/day is necessary to maintain a positive nitrogen balance. Red deer recycles 18-85% of the urea produced and urea kinetic parameters (urea pool size, urea entry rate and urea excretion rate) are correlated to plasma urea conccntration. Rumen NH3-N production changes with season, but seasonal changcs in other NH3-N kinetic parameters (NH3-N concentration, NH3-N pool size and NH3-N outflow rate) are in dispute. Protein metabolism may be promoted in response to cold strcss. Endogenous urinary nitrogen is 0.09 (red deer) and 0. 16 g N/kg0.75day (elk), and metabolic frcal nitrogen is 5.58 g N/kg dry-matter intake. Protein requirements ranges from 100 g/kg DM to 170 g/kg DM for red deer of various ages and physiological stages. In conclusion.the knowledge of protein nutrition of red deer is limite.Much work is urgently needed in metabolism and requirements of protein before the appropriate feeding standard of red deer is coming.

S.DEER与ONLY的品牌对比分析

选择S.DEER和ONLY两大服装品牌,对两者的品牌构成要素进行了对比,并采用SWOT法对他们进行分析,为中国女装品牌的发展提供了参考。

Modeling habitat suitability and utilization of the last surviving populations of fallow deer(Dama dama Linnaeus,1758)

DüzlerçamıWildlife Reserve Area(WRA)is the last natural habitat of fallow deer(Dama dama)in the world.Fallow deer is native to Turkey,however,its geographical range is currently confined to DüzlerçamıWRA,Antalya.To date,a detailed habitat investigation of fallow deer dis-tribution has not been conducted.This study is vital for the last surviving populations of fallow deer in Turkey.There-fore,we studied the habitat suitability and utilization of fal-low deer in the DüzlerçamıWRA.Vegetation and wildlife inventory was surveyed across a total of 304 sample areas between 2015 and 2017.Plant species were recorded accord-ing to the Braun-Blanquet method and wildlife surveys were based on footprints,feces,and other signs of fallow deer.Classification and regression tree techniques,as well as MAXENT,were used to model vegetation and fallow deer habitat.Topographic position index,terrain ruggedness index,roughness index,elevation,and bedrock formation were also calculated and included in the models.Based on our results,we drafted a habitat protection map for fallow deer.To ensure sustainability of habitats where populations of fallow deer are found in Turkey,we developed recommen-dations such as closuring human access of the 1st-degree Protection Area and reintroduction of the species to other potential habitats.