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Sep 2025 DOI 10.14302/issn.2768-0207.jbr-25-5706
Nakamura YusukeCorresponding author
Artificial Intelligence (AI) is emerging as a transformative force across many sectors, with healthcare representing both one of the most promising and most challenging areas of application. This review summarizes current and future applications of AI in healthcare, focusing on its potential to improve diagnosis, therapy, chronic disease management, and overall patient care, while also alleviating physicians’ workload. Recent literature demonstrates that AI systems can reduce diagnostic errors/delays by mitigating cognitive biases, support imaging and pathology through improved accuracy and speed, and prevent prescribing errors by integrating pharmacogenomic and clinical data into decision-support systems. In chronic disease management, AI-powered wearable devices enable continuous monitoring and early detection of conditions such as atrial fibrillation, thereby reducing the risk of stroke and long-term disability, particularly in elderly people. Therapeutic applications include AI-driven drug discovery, personalized oncology, and tailored medicine that integrates multi-omics and lifestyle data. Beyond direct medical intervention, AI contributes by automating routine tasks, optimizing workflows, and facilitating greater patient–clinician interaction. Despite these benefits, significant challenges remain, including issues of data quality, privacy, security, equity, and the need for transparency and trust in “black box” systems. Looking ahead, the integration of multimodal data, digital twins, and robotics is expected to advance more comprehensive, equitable, and human-centered care. We conclude that, when applied ethically and responsibly, AI should not replace clinicians but rather serve as a powerful partner that enhances medicine by restoring empathy and humanity.
Oct 2021 DOI 10.14302/issn.2641-5526.jmid-21-3900
Perez Jean-claudeCorresponding author
Phd Maths Computer Science Bordeaux University, RETIRED Interdisciplinary Researcher (IBM Emeritus, IBM European Research Center On Artificial Intelligence Montpellier) Bordeaux Metropole, France.
In this theoretical discovery of a law of Life, there is MATHEMATICS (Geometry, Bits and Numbers) that UNIFY 3 universes as complementary as ATOMIC MASS, WAVES, and INFORMATION (DNA, RNA and Amino Acids). The discovery of a simple numerical formula for the projection of all the atomic mass of life-sustaining CONHSP bioatoms leads to the emergence of a set of Nested CODES unifying all the biological, genetic and genomic components by unifying them from bioatoms up to 'to whole genomes. In particular, we demonstrate the existence of a digital meta-code common to the three languages of biology that are RNA, DNA and amino acid sequences. Through this meta-code, genomic and proteomic images appear almost analogous and correlated. The analysis of the textures of these images then reveals a binary code as well as an undulatory code whose analysis on the human genome makes it possible to predict the alternating bands constituting the cariotypes of the chromosomes. The application of these codes to perspectives in astrobiology, cancer, and specifically in INFORMATION THEORY with the emergence of binary codes and regions of local stability (voting process), whose fractal nature we demonstrate, is illustrated. PREFACE by Professor Luc Montagnier Addendum by Robert Friedman M.D After the discovery of the DNA double helix structure allowing both the stable storage of genetic information and its transfer through messenger RNA to protein synthesis organelles themselves structured by RNA most abundant in cells, the ribosomal. This wonder of nature exists in ALL living beings from the virus to humans and is based on two codes, the linear sequence of nucleotides and that derived from codons where three nucleotides allow with a certain flexibility - synonymous codons - the choice in the twenty amino acids. But we are missing a third CODE the one governing at multicellular beings from the rotifer to human, the stabilized modulation of gene expression in a nutshell the differentiation of cells from the single cell of the fertilized egg. It is logical to think that this program which begins as soon as fertilization is written in the DNA. We are also prone to associate it with non-coding DNA sequences although they control gene expression. I introduce here the notion developed by Jean-Claude Pérez of mathematical harmony, a higher order present in all living beings and whose existence it finds in genomes, including those of viruses. Thus the natural evolution of variants of the genome of coronavirus Covid 19 tends towards increasingly long Fibonacci series. It remains to determine the Who, the How and the Why of such developments. I will bet with my mathematician colleague that waves and fractals play a role. Luc Montagnier ADDENDUM Jean-claude has given scientists a strong new direction for research. He has identified a unified field of science guided by the Golden Ratio and Fibonacci Sequence. By identifying an overall guiding principle that makes possible fractal-like nesting at all levels of biological manifestation, future researchers can begin with the "whole" instead of the "parts". If we know that complex systems are organized at varying levels by the Golden Ratio and Fibonacci Sequence, we can look for those universal patterns first and then fill in the gaps with small details to complete the picture. It's like having an overall view of a crossword puzzle before beginning to assemble the individual pieces. Without an overarching vision and guiding principle, completing the puzzle is infinitely more difficult. Once scientists and researchers realize and begin using this "SECRET IN HIDDEN IN PLAIN SIGHT," their discoveries will be orders of magnitude more fruitful. Robert Friedman M.D
Dec 2020 DOI 10.14302/issn.2641-4538.jphi-20-3427
K. Langat SimonCorresponding author
Automation of human tasks has taken place for a long time now. Humans have in earlier periods dreamed of a world where machines capable of mimicking decision making would be created with some works of fiction describing in caricature, how machines would take over the human space in the world. Artificial intelligence has come to fruition in the last few decades following the development of fast computing capability and vast chip memory. Discussions of how the human space will look and feel when artificial intelligence have taken place at various levels of global organization geared towards ensuring that the new “thinking machines” do not rock human society in ways to render them obsolete. This article looks at the ethics of AI considering the issues that have been outlined by others in the light of communitarian ethics as seen in Africa. It describes the possible impact of thinking machines on society and how individuals would relate with each other and with AI systems.
Jun 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3402
Stanley Raj A.Corresponding author
Department of Physics, Loyola College, Chennai, Tamilnadu- 600034, India.
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken for study. The salient feature of this study is the application of Neural Networks and wavelet analysis. It reveals that the rainfall variations are ambiguous that it does not maintain a constant pattern. Wavelet coefficients of multiresolution spectrogram reveals that the intensity of rainfall in each year. Linear regression model divulge the pattern of rainfall followed in every season and the results show that except winter season all other season suffers deficient rainfall. The deficiency of rainfall may be due to different parameters like ElNino or LaNina pattern or global warming. Results showed that all seasons except winter does not maintain consistency in the rainfall variability. Winter season provides the positive slope values of 4.7 and 0.6 for January and February respectively. Moreover Artificial Neural Networks training provides prominent results of Regression value 0.98 which is comparably high with other seasons taken for study.
May 2020 DOI 10.14302/issn.2691-8862.jvat-20-3311
G. Elkabily AhmedCorresponding author
Ministry of health, Egypt
Currently, the emergence of a novel human corona virus, SARS-CoV-2, has become a global health concern causing severe respiratory tract infections in humans. Human-to-human transmissions have been described with incubation times between 2-14 days, facilitating its spread via droplets, contaminated hands or surfaces, resulting in high spread and death rates according to date, time and place of infection. We therefore reviewed the literature on all available information about the treatment of the cases, especially critical cases to decrease the mortality rate, the spread and incubation time of the virus by using the adaptive artificial passive immunity (anti-bodies from fully recovered patients with COVID-19).
Mar 2019 DOI 10.14302/issn.2643-2811.jmbr-19-2659
C LangenhanCorresponding author
Technische Universität München
As the complexity of building tasks and requirements increases, designers often find themselves confronted with interdisciplinary problems that go beyond the specific challenges and methods of architecture. The iterative nature of the design process results in a continuous exchange between creative, analytical and evaluative activities, through which the designer explores and identifies promising design variants. The ability to compare and evaluate relevant reference examples of already built or designed buildings helps designers to assess their own design and informs the design process.
Aug 2017 DOI 10.14302/issn.2470-5020.jnrt-17-1487
Alipour Ataabadi YasaminCorresponding author
Faculty of Physical Education and Sports Sciences, Department of Sports Biomechanics, kharazmi university, Tehran
The global popularity of soccer has led to widespread tendency towards this sport. Because of the convenience of using artificial surfaces, the rapid growth of using these surfaces led to concerns about the declining performance of the players. The aim of this comprehensive review is to study the difference between the performance of players on different playing surfaces and the risk factors for use of artificial turf compared to natural grass. A literature search of valid scientific databases such as Science Direct, PubMed and Jstor by searching keywords was performed. In total, more than 6,000 articles were retrieved. After the preliminary selection process, the final analysis was performed on a total of 76 articles. Results: Mechanical properties of artificial grass have a significant effect on the average time of sprinting, the best time of sprinting and maximum speed. The numbers of sliding tackles on artificial turf were lower compared to natural grass. Artificial turfs exposed hardness, elasticity and high friction. The characteristics of artificial grass have changed over time and increased the probability of injuries. There was no significant difference between the overall risks of acute injuries in soccer players performing on artificial turf compared to natural grass. The amateur, young and female soccer players had rated lower injuries on artificial grass. But the rate of injuries in elite soccer players were higher on artificial grass and hence they are not found of playing on such playing surfaces.
Nov 2015 DOI 10.14302/issn.2471-2175.jdrt-15-698
Xiang Wen-ZhongCorresponding author
Department of Dermatology, Third Hospital of Hangzhou, Affiliated Hangzhou Clinical College, Anhui Medical University.
Bullous pemphigoid (BP) is one of the most common autoimmune blistering diseases. Here, we report an old woman presented with a 2-month history of bullous lesions located just over the skin of the right thigh and buttock where the orthopedics operation was performed using artificial hip made of titanium alloy and a twenty days history of similar lesions involving the rest of the body gradually.
Sep 2024 DOI 10.14302/issn.2694-2275.jzr-24-5256
O. Henderson JeffreyCorresponding author
Stimulating precocious metamorphosis in anuran larvae is an important pedagogical tool for understanding vertebrate development. However, historically, artificially provoking metamorphosis by immersing tadpoles in exogenous inducing agents (e.g., thyroxine, and iodine) compromises the longevity of the experimental animals, resulting in up to 100% mortality within a week. In our undergraduate teaching lab, we house our experimental tadpoles in circular glass dishes having a surface area of 182 cm2. Over the past four academic years this lab was performed, we observed 100% mortality of experimental animals within 10, 12, or 15 days when treated with 10-5 M, 10-6 M, or 10-7 M thyroxine, respectively. Here, we investigated whether increasing the surface area to 413 cm2 using square glass dishes would reduce the mortality of the treated animals. Omnibus Kaplan-Meier survival analysis demonstrates a statistically significant decrease in mortality in tadpoles reared in the larger square dishes compared to those housed in the smaller round dishes (P < 0.05). However, increasing the surface area of our reaction vessels could not rescue survivability of those tadpoles immersed in thyroxine, but did increase survivability of control tadpoles maintained in pond water (P < 0.01), tadpoles subjected to iodine (P < 0.05) or treated with actinomycin D (P < 0.05). These data demonstrate that increasing available reaction vessel surface area reduces overall tadpole mortality during chemically modified metamorphosis in an undergraduate teaching lab setting.
May 2024 DOI 10.14302/issn.2998-1506.jpa-24-5058
Shrestha SwatiCorresponding author
Wheat is a staple grain crop in the United States and around the world. Weed infestation, particularly grass weeds, poses significant challenges to wheat production, competing for resources and reducing grain yield and quality. Effective weed management practices, including early identification and targeted herbicide application are essential to avoid economic losses. Recent advancements in unmanned aerial vehicles (UAVs) and artificial intelligence (AI), offer promising solutions for early weed detection and management, improving efficiency and reducing negative environment impact. The integration of robotics and information technology has enabled the development of automated weed detection systems, reducing the reliance on manual scouting and intervention. Various sensors in conjunction with proximal and remote sensing techniques have the capability to capture detailed information about crop and weed characteristics. Additionally, multi-spectral and hyperspectral sensors have proven highly effective in weed vs crop detection, enabling early intervention and precise weed management. The data from various sensors consecutively processed with the help of machine learning and deep learning models (DL), notably Convolutional Neural Networks (CNNs) method have shown superior performance in handling large datasets, extracting intricate features, and achieving high accuracy in weed classification at various growth stages in numerous crops. However, the application of deep learning models in grass weed detection for wheat crops remains underexplored, presenting an opportunity for further research and innovation. In this review we underscore the potential of automated grass weed detection systems in enhancing weed management practices in wheat cropping systems. Future research should focus on refining existing techniques, comparing ML and DL models for accuracy and efficiency, and integrating UAV-based mapping with AI algorithms for proactive weed control strategies. By harnessing the power of AI and machine learning, automated weed detection holds the key to sustainable and efficient weed management in wheat cropping systems.
Dec 2023 DOI 10.14302/issn.2766-8681.jcsr-23-4811
Isea RaúlCorresponding author
Biotechnology has changed our relationships and perspectives of the world, influencing industry and serving as a catalyst for scientific discoveries. With this change, biotechnology enters a new age known as Biotechnology 2.0. "Modern Biotechnology" and "Artificial Intelligence" are getting married. In order to lessen food poverty, this idea incorporates the most recent advancements in genetic engineering, medicine, environmental preservation, and agricultural productivity and loss reduction strategies. The importance of openness and public involvement in addressing public concerns and advancing moral behavior in biotechnology's future, fostering cooperation among diverse stakeholders, and accomplishing this in a sustainable way for the good of society and humanity cannot be overstated, especially with the backing of biotechnology governance.
Aug 2023 DOI 10.14302/issn.2694-2275.jzr-23-4642
Zahoor TayyabaCorresponding author
The study was conducted to determine the effect of Nigella sativa (Kalonji) and Honey as an anti-inflammatory agent for humans and animals. The study was carried out on 20 Albino Mice of almost equal size and weight. All the mice were given 5% solution of formalin in a dose of 0.5ml injection in their right hind paw to produce artificial inflammation. The mice were divided into four groups of five animals in each and were randomly allotted to four treatments as Group A (Control) where no Nigella sativa extract and honey were given, Group B where the mice were given only the ethanolic extract of Nigella sativa in the dose of 0.05ml injection as a remedy of inflammation, Group C where the mice were given only the honey orally in a dose of 0.05mg and Group D where mice were given 50% (0.025ml) intraperitoneally of Nigella sativaextract and 50% (0.75mg) of honey as an anti-inflammatory agents. The data was statistically analyzed by the Analysis of Variance (ANOVA) and the results showed that the inflammation was significantly (p<0.05) reduced in mice given treatments compared to untreated control group and among treated groups. The mice given the extract of Nigella sativa (Group B) showed better results (p<0.05) in reducing the inflammation compared to other groups (C and D), Group D where the mice were given 50% (0.025ml) Nigella sativa extract and 50% (0.75mg) honey showed better results (p<0.05) than mice given only honey. Overall, both the extract of Nigellasativa and the honey were almost equally successful in reducing the inflammation in mice which showed that these two agents can successfully be used as anti-inflammatory drugs in humans and animals.
Jun 2023 DOI 10.14302/issn.2692-1537.ijcv-23-4586
Isea RaúlCorresponding author
The goal is to do a text mining analysis of all scientific publications and find out what journal and what aspects are studying about the conspiracy theories of Covid-19. For this purpose, all publications available in the National Center for Biotechnology Information (NCBI) database were consulted as they were peer-reviewed papers. Of all these papers, only the abstracts of each one were studied using artificial intelligence techniques to determine, for example, whether the subject is of importance depending on the journals where it has been published, and above all, what possible relationships could be extracted from the information published in them. In addition, the "Net Prevalence per Covid19" index was definedin those countries with a high value, greater campaigns should be sponsored to avoid the misinformation generated by Covid-19, although this comment should be verified in future publications. The main challenge was to unify the abstracts and for this purpose, a text summarizer was used under artificial intelligence schemes. The results obtained indicate the tendency of certain topics by the frequency of the words obtained where the focus on the conspiration are the Covid-19 vaccines, but further work is still needed to continue working on this methodology to unify the results.
Jun 2023 DOI 10.14302/issn.2766-8681.jcsr-23-4526
Isea RaúlCorresponding author
A large volume of data is being generated in public administration and it is necessary to develop new computational methodologies to classify and analyze it to do a better analysis and decision making. For this reason, the goal of this paper is to present a computational methodology that allows classifying and prioritizing a series of complaints using Artificial Intelligence techniques. To test this model, we generate 600 complaints in four sectors of the public administration to prove the concept. Later, we calculated the tree decision with the help of the Confusion Matrix, and finally the Priority Matrix (based on the Eisenhower model) allows setting priorities on the complaints, and offers the possibility of delegating and even postponing the response to them. In this way, it is possible to prioritize the complaints made in the public administration.
Jan 2022 DOI 10.14302/issn.2372-6601.jhor-22-4061
B. Danilova AnnaCorresponding author
N.N. Petrov National Medicine Research Center of Oncology, Department of Oncoimmunology, 197758, Leningradskaya str., 68, Pesochny, Saint-Petersburg, Russian Federation
Background Human malignant cell models which reflect the structural and physiological complexity of tumor tissue are of great importance for preclinical research in oncology. Spheroids/tumoroids derived from solid tumors are of great interest as cellular models mimicking the first vascular-free growth phase of a tumor node. The fact of the identity between artificially created tumor multicellular aggregates and the real tumor tissue, however, needs to be specified, described and validated in order to see how closely the spheroids are biologically similar to the malignized tissues in vivo compared to the monolayer cell cultures traditionally used. We present here a comparison study of the characteristics of solid tumor cells of different histogenesis (melanomas, soft tissue sarcomas and bone sarcomas, epithelial tumors) cultured in two dimensions (monolayer culture) and three dimensional space (spheroid), namely: spatial organization, multiplication, metabolic activity. Patients and Methods For the creation of 2 D and 3D cell models the cells isolated from the patient's solid tumor fragments obtained intraoperatively were used. 15 samples of skin melanoma, 20 samples of soft tissue and osteogenic sarcomas (STBS), and 9 samples of epithelial tumors (ET). The tumor cells were all cultivated for at least 10 passages. We used phase contrast, confocal microscopy, and immunohistochemistry to investigate spheroids and monolayer cultures. The supernatants of tumor cells grown in 2D and 3D cultures were studied using ELISA and multiplex analysis for the production of a spectrum of chemokines and cytokines supporting the immunosuppression, invasion and metastasis processes. Results Tumor specimens received were predominantly of metastatic origin (75%). In 100% of cases 2D cultures were received, in 88.6% of cases (39 out of 44) we succeeded in obtaining spheroids. There was no direct correlation between the efficiency of tumoroid formation and the tumor's histogenetic origin and the stage of the cancer process (primary tumor, recurrence, metastasis). The median size of spheroids by 4-5 days of cultivation with a starting concentration of 10000 cells per well was 657.14 μm for melanoma (min 400 - max 1000 μm), 571.42 μm (min 400 - max 700 μm), 507.14 μm (min 300 - max 600 μm) for soft tissue sarcomas, 650.0 μm (min 400 - max 900 μm) for osteogenic sarcomas. Immunochemical analysis of Ki-67, GLUT1, and Ecadherin markers was carried out for tumor tissue samples, single-layer tumor cultures, and tumoroids of every patient. The distribution of the stained groups in the spheroids was distinct from the monolayer cultures and more in accordance with the distribution of such in the tissue tumor, the number of Ki-67+ cells was increasing in the spheroids. We detected no dependence of Ki-67+ and GLUT1+ cell localization grade on spheroid size. We identified E-cadherin in tumor tissue and tumoroids of breast carcinoma and one melanoma culture. Monolayer cultures did not express it. The increase in secretory cell activity of the solid tumor cells from 2D to 3D system was observed when CCL2, CCL3, CXCL1, CXCL16, MIF, IL10, MICA (p<0.01) were investigated. Conclusion The presence of patient-specific cells of solid tumors in a 3D environment causes activation of the proliferative and metabolic processes as compared to monolayer cultures, which makes these models approximate the real world clinical picture. The production of chemokines that can attract to the tumor various types of immune system cells, to include their immature versions, as well as production of cytokines and Immunosuppression factors that, when present in the tumor microenvironment in the high concentrations, contribute to the formation of immune cells having suppressive capacities occurs in the 3D cell system. Three-dimensional model of the initial tumor nodule formation stage thus demonstrates the forming process of tumor cells favorable for them microenvironment. Construction of three-dimensional models - spheroids of tumor cells of differing histogenesis demands individual approach and more thorough investigation.
Nov 2021 DOI 10.14302/issn.2575-1212.jvhc-21-3973
A Elmetwally MohammedCorresponding author
Departments of Theriogenology,
This review focused on the various methods for controlling estrous cycles in well-managed dairy cows. Because up to 70% of dairy cows may stay non-pregnant after an AI procedure, an effective approach for identifying and reinseminating open cows is essential for dairy herds to achieve optimal reproductive performance. Overall, well-managed dairy farms with effective estrus detection programs inseminate 50% or more of non-pregnant cows after behavioral estrus is detected. Cows not detected in estrus are admitted in a resynchronization of ovulation procedure to receive a timed AI (TAI) service to avoid a long interbreeding interval. In Egypt, a widely used program involves starting the Ovsynch protocol (GnRH-7 d-PGF2-56 h-GnRH-16 to 20 h-TAI) 32 days after an initial AI, regardless of pregnancy status. Previous studies have proven that there was no difference in pregnancy/artificial insemination (P/AI) between Ovsynch+P4 and Presynch-Ovsynch, both protocols were equally effective in improving the fertility of cows with a CL 15 mm. The review also addressed different methods for synchronization of ovulation and different factors affecting the selection of the management program.
Jul 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3449
Stanley Raj A.Corresponding author
Department of Physics, Loyola College, Chennai, Tamilnadu- 600034, India.
Electrical resistivity method is often used to estimate the subsurface structure of the earth. Many inversion algorithms are available to estimate the subsurface features. However, predicting the exact parameter in the non-linear subsurface of the earth is difficult because of its complex composition. Soft computing tools can approximate the subsurface parameters more clearly. Each soft computing tool has certain advantages and disadvantages. A hybrid formation of algorithms will make the decision more appropriate than depending on a single tool. Here in our study the data obtained through Vertical Electrical Sounding has been used to determine the sub surface characteristics of earth viz., true resistivity and thickness. Artificial Neural Networks (ANN) requires certain optimizing procedures. Here in this paper, Genetic Algorithm (GA) is applied to optimize Artificial Neural Networks (ANN). This coupled approach is tested with the field data. Error percentage of algorithm nearly mimics the behavior of earth and is verified. The best performance result shows that this technique can be implemented to estimate the non-linear characteristics of the earth more noticeably.
Apr 2020 DOI 10.14302/issn.2574-4518.jsdr-20-3161
Sedky KarimCorresponding author
Psychiatry Residency Director and Medical Student Education Director, Cooper Medical School of Rowan University
Delayed sleep phase syndrome (DSPS) is a circadian rhythm disorder where individuals experience difficulty modifying the time they go to sleep and wake up in response to environmental changes. The circadian rhythm itself is regulated by a variety of clock genes, and various other genes (e.g., AA-NAT gene, CKIϵ gene) code for proteins that regulate clock genes. Various polymorphisms of the clock gene influencers have been shown to increase susceptibility to DSPS. This paper seeks to examine how certain cultural characteristics (e.g., napping, timing of meals, exposure to artificial light) and the presence of the AA-NAT gene (G619A polymorphism) and the CKIϵ gene (S408N polymorphism) influence the prevalence of DSPS amongst Japanese and Brazilian populations.
Sep 2019 DOI 10.14302/issn.2689-2855.jan-19-3012
Tabassum Khan NidaCorresponding author
Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information, Technology Engineering and Management Sciences, (BUITEMS), Quetta, Pakistan
Quantum dots can be defined as semiconductor nanostructures which are artificial in nature and ranges from 2-10 nm in size. These tiny nanocrystals become excited under illumination and emits colors of different wavelength. Quantum dots possess unique properties determined by their structure (hollow or solid), size, shape and composition. Fabrication of Quantum dots is achieved by several methods such as electron beam lithography, epitaxy or by means of colloidal synthesis.
Jan 2019 DOI 10.14302/issn.2643-2811.jmbr-18-2539
Shaikh SadiqueCorresponding author
KYDSC Trust’s, Institute of Management & Science (IMS), Bhusawal, M.S, India
In this work, we try to explain the concept of human talent with the help of some equations and models, which are not generated by any one previously. Here we also trying to explain ‘human talent is not resources it’s itself one of the great sources to find out all possible resources’. Because we cannot predict human talent directly, to judge it, we should have to adapt some methods for talent acquisition, which we explained with the help of models and equations. How human talent is one of the great source, if we want to know it, we have to observe human behavior, wits and intelligence strictly by working simultaneously with them. In this work our conclusion is ‘human talent natural and dynamic in nature’ and can be easily diverted to perform any task. Where as machine and technology has programmed memory, logics i.e. artificial intelligence (AI), and hence in result talent is fixed and constant in nature and only able to do repetitive and fixed task and also for proper handling and utilization of machines and technology need arises of human talent. In last only want to mentioned work is very useful in all HRM and OB practices.
Mar 2018 DOI 10.14302/issn.2637-6075.jpae-18-1937
Muyuan MaCorresponding author
Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
Hengshui Lake Wetland is the only national wetland and bird nature reserve in the North China Plain. It plays an important role in maintaining the species diversity and ecological balance. In recent years, due to industrial and agricultural production, infrastructure and ecological environment construction and other reasons, the infiltration, runoff, evapotranspiration and other water balance elements was changed, which reduced runoff into the lake. In order to ease the tense water resources situation in the region, Hengshui Lake is replenished each year by Yellow River water. Although Diversion Yellow River Wetland has made direct water supply protection, but also affected the ecology and environment of Hengshui Lake wetlands. In order to understand how artificial water diversion can affect the ecological environment of natural lakes, this paper analyzes the effects of artificial water storage on the water quality of the lake by using the measured data of water samples in the lake. The results showed that the water level of Hengshui Lake showed an upward trend after the diversion from the Yellow River. Comprehensive pollution index showed a downward trend, but Hengshui Lake wetlands are still slightly polluted. Diversion of Yellow River diversion into the lake of the ecological health of Hengshui also caused some impact.