bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation of Parallel Polarization Radiance for Retrieving Chlorophyll a Concentrations in Open Oceans Based on Spaceborne Polarization Crossfire Strategy
Authors: Wei Yichen , Sun Xiaobing , Liu Xiao , Huang Honglian , Ti Rufang , Hong Jin , Yu Haixiao , Wang Yuxuan , Li Yiqi , Wang Yuyao
Published: November 2023

The polarization crossfire (PCF) suite carried onboard the Chinese GaoFen-5B satellite is composed of a Particulate Observing Scanning Polarimeter (POSP) and a Directional Polarimetric Camera (DPC), which can provide multi-angle, multi-spectral, and polarization data. In this paper, the influence of polarization and the directionality of reflectance in open oceans on the inversion of chlorophyll a (Chla) concentrations are investigated, from 410 nm to 670 nm. First, we exploit a vector radiative transfer model to simulate the absolute and relative magnitudes of the water-leaving radiance signal (I) and the parallel polarization radiance (PPR) to the top-of-atmosphere (TOA) radiation field. The simulation results show that the PPR can enhance the relative contribution of the water-leaving signal, especially in sunglint observation geometry. The water-leaving signal for PPR exhibits significant directional and spectral variations relative to the observation geometries, and the maximum value of the water-leaving signal for PPR occurs in the backscattering direction. In addition, the sensitivity of the PPR to the Chla concentration is sufficient. The synthetic datasets are utilized to develop retrieval algorithms for the Chla concentrations based on the back-propagation neural network (BPNN). The inversion results show that the PCF strategy improves the accuracy of Chla retrieval, with an RMSE of 0.014 and an RRMSE of 6.57%. Thus, it is an effective method for retrieving the Chla concentration in open oceans, by utilizing both the directionality and polarization of the reflectance.
Utility of Thermographic Imaging for Callus Identification in Wound and Foot Care
Authors: Sadrzadeh-Afsharazar Faraz , Raizman Rose , Saiko Gennadi
Published: November 2023

Calluses are thickened skin areas that develop due to repeated friction, pressure, or other types of irritation. While calluses are usually harmless and formed as a protective surface, they can lead to skin ulceration or infection if left untreated. As calluses are often not clearly visible to the patients, and some areas of dead skin can be missed during debridement, accessory tools can be useful in assessment and follow-up. The practical question addressed in this article is whether or not thermal imaging adds value to callus assessment. We have performed a theoretical analysis of the feasibility of thermographic imaging for callus identification. Our analytical calculations show that the temperature drop in the epidermis should be on the order of 0.1 °C for the normal epidermis in hairy skin, 0.9 °C for glabrous skin, and 1.5–2 °C or higher in calluses. We have validated our predictions on gelatin phantoms and demonstrated the feasibility of thermographic imaging for callus identification in two clinical case series. Our experimental results are in agreement with theoretical predictions and support the notion that local skin temperature variations can indicate epidermis thickness variations, which can be used for callus identification. In particular, a surface temperature drop on the order of 0.5 °C or more can be indicative of callus presence, particularly in callus-prone areas. In addition, our analytical calculations and phantom experiments show the importance of ambient temperature measurements during thermographic assessments.
Metal Surface Defect Detection Based on a Transformer with Multi-Scale Mask Feature Fusion
Authors: Zhao Lin , Zheng Yu , Peng Tao , Zheng Enrang
Published: November 2023

In the production process of metal industrial products, the deficiencies and limitations of existing technologies and working conditions can have adverse effects on the quality of the final products, making surface defect detection particularly crucial. However, collecting a sufficient number of samples of defective products can be challenging. Therefore, treating surface defect detection as a semi-supervised problem is appropriate. In this paper, we propose a method based on a Transformer with pruned and merged multi-scale masked feature fusion. This method learns the semantic context from normal samples. We incorporate the Vision Transformer (ViT) into a generative adversarial network to jointly learn the generation in the high-dimensional image space and the inference in the latent space. We use an encoder–decoder neural network with long skip connections to capture information between shallow and deep layers. During training and testing, we design block masks of different scales to obtain rich semantic context information. Additionally, we introduce token merging (ToMe) into the ViT to improve the training speed of the model without affecting the training results. In this paper, we focus on the problems of rust, scratches, and other defects on the metal surface. We conduct various experiments on five metal industrial product datasets and the MVTec AD dataset to demonstrate the superiority of our method.
BCG Signal Quality Assessment Based on Time-Series Imaging Methods
Authors: Shin Sungtae , Choi Soonyoung , Kim Chaeyoung , Mousavi Azin Sadat , Hahn Jin-Oh , Jeong Sehoon , Jeong Hyundoo
Published: November 2023

This paper describes a signal quality classification method for arm ballistocardiogram (BCG), which has the potential for non-invasive and continuous blood pressure measurement. An advantage of the BCG signal for wearable devices is that it can easily be measured using accelerometers. However, the BCG signal is also susceptible to noise caused by motion artifacts. This distortion leads to errors in blood pressure estimation, thereby lowering the performance of blood pressure measurement based on BCG. In this study, to prevent such performance degradation, a binary classification model was created to distinguish between high-quality versus low-quality BCG signals. To estimate the most accurate model, four time-series imaging methods (recurrence plot, the Gramain angular summation field, the Gramain angular difference field, and the Markov transition field) were studied to convert the temporal BCG signal associated with each heartbeat into a 448 × 448 pixel image, and the image was classified using CNN models such as ResNet, SqueezeNet, DenseNet, and LeNet. A total of 9626 BCG beats were used for training, validation, and testing. The experimental results showed that the ResNet and SqueezeNet models with the Gramain angular difference field method achieved a binary classification accuracy of up to 87.5%.
A Study on the Fault Location of Secondary Equipment in Smart Substation Based on the Graph Attention Network
Authors: Xiang Xian-Ming , Dong Xiu-Cheng , He Jin-Qing , Zheng Yong-Kang , Li Xin-Yang
Published: November 2023

The inability to locate device faults quickly and accurately has become prominent due to the large number of communication devices and the complex structure of secondary circuit networks in smart substations. Traditional methods are less efficient when diagnosing secondary equipment faults in smart substations, and deep learning methods have poor portability, high learning sample costs, and often require retraining a model. Therefore, a secondary equipment fault diagnosis method based on a graph attention network is proposed in this paper. All fault events are automatically represented as graph-structured data based on the K-nearest neighbors (KNNs) algorithm in terms of the feature information exhibited by the corresponding detection nodes when equipment faults occur. Then, a fault diagnosis model is established based on the graph attention network. Finally, partial intervals of a 220 kV intelligent substation are taken as an example to compare the fault localization effect of different methods. The results show that the method proposed in this paper has the advantages of higher localization accuracy, lower learning cost, and better robustness than the traditional machine learning and deep learning methods.
Urban Courier Delivery in a Smart City: The User Learning Process of Travel Costs Enhanced by Emerging Technologies
Authors: Russo Francesco , Comi Antonio
Published: November 2023

This paper surveys urban courier routing, pointing out the learning process of the generalized travel cost enhanced by using innovations related to the introduction of emerging information and communication technologies (ICTs, i.e., the internet of things, big data, block chain and artificial intelligence), considering a smart city. Couriers, when planning in advance or choosing the routes in real time for delivering to citizens as well as to business users (including retailers), need to consider both the driving and walking routes (i.e., from the delivery bay to the customers) to optimize their activities. A two-layer literature optimization model is recalled, and the main scientific people-centered challenges that need to be addressed under the light of emerging ICTs are identified and explored, which are the learning process of routing attributes, as well as the opportunity to book on-street delivery bays in advance or in real time. Then, after a literature review on modeling courier activities, a unitary formulation is presented that combines old and real-time network data. In addition, integration with new telematics solutions (i.e., delivery bay booking) is pointed out. Finally, discussions on innovations and cost optimization are presented.
Exploring the Online News Trends of the Metaverse in South Korea: A Data-Mining-Driven Semantic Network Analysis
Authors: Kim Eun Joung , Kim Jung Yoon
Published: November 2023

It is presently being questioned whether the metaverse is mere hype or the next transformative vision. It should be examined how the issues associated with the metaverse are being dealt with socially, and accordingly, how the public’s interest has changed. This paper aims to explore the metaverse’s issues and its rapidly changing trends in South Korea during the pandemic period of 2020–2021, in which the term was very widely used. This study conducted a semantic network analysis using online news big data with a text mining approach to analyze online news content from search engine portals such as Naver, Daum, and Google. TF-IDF, degree centrality, word cloud visualization, and CONCOR analysis were used within the Textom and UCINET6 programs. This research provides valuable insights into how the metaverse is being embraced and discussed within the South Korean context, shedding light on its potential impact and the changing dynamics of public engagement. The results showed that the topics of the public’s interests in the metaverse varied in the year 2021 as compared to 2020, and the opportunities and concerns revolving around it are referred to at the same time. The study found that there were significant changes in the subjects that gained public interest in the metaverse between 2020 and 2021. In 2020, the term “Metaverse” became popular in the news due to its increasing popularity in the world of virtual online gaming, particularly among younger populations. This was further accelerated by the COVID-19 pandemic restrictions, resulting in a rise in virtual experiences. In contrast, the year 2021 was marked as the time when the concept of the metaverse gained widespread recognition and established itself as a platform for business and financial opportunities, suggesting the growing interest of older generations in the metaverse.
Roundabout Trajectory Planning: Integrating Human Driving Models for Autonomous Vehicles
Authors: Leonardi Salvatore , Distefano Natalia
Published: November 2023

This research investigates the utilization of human driving models in autonomous vehicles, particularly in scenarios with minimal or no interactions with other vehicles. Human driving models provide valuable insights into driver behavior and play a crucial role in shaping the behavior of autonomous vehicles, enhancing their performance and user experience. The primary focus of this study is the creation of a planning model for autonomous vehicles when navigating roundabouts in the absence of traffic. This model seeks to emulate human driving behavior, ensuring predictability, safety, the optimization of traffic flow, and adaptation to various roundabout geometries. To achieve this, the research introduces a trajectory model that takes into account geometric attributes and speed variations within roundabouts. The model is calibrated using empirical data and generalizes parameters through statistical regression methodologies. In particular, speed profile modeling is evaluated for its consistency in creating plans that faithfully replicate human driving behavior in roundabouts. While the study presents a promising approach, it acknowledges limitations related to the model’s reliance on geometric attributes and its inability to account for external factors like weather conditions. This research underscores the importance of bridging the gap between theoretical research and practical application, with the aim of enhancing safety and the overall user experience in real-world driving scenarios.
Provably Secure Data Access Control Protocol for Cloud Computing
Authors: Zhang Ji , Chen Anmin , Zhang Ping
Published: November 2023

Currently, cloud storage servers are controlled by a third-party administrator. This semi-trusted approach gives rise to security concerns. Therefore, in cloud computing, some protocols use a key manager to encrypt the user’s private data before uploading the data to the cloud. However, the security concerns that arise from the use of a key manager are not yet solved. In this respect, in this paper, a provably secure user cloud data access control protocol (DAC) is proposed based on existing cloud storage. Empirical tests confirm that the proposed approach is highly secure against adaptive selective ciphertext attacks and has excellent resistance to message attacks. A comprehensive performance evaluation, including time measurements, is conducted and the protocol is compared to other protocols, revealing the efficient file upload and download processes of the proposed approach. The results demonstrate the protocol’s strong security, practicality, and operational efficiency.
Assessment and Exposure Analysis of Trace Metals in Different Age Groups of the Male Population in Southern Punjab, Pakistan
Authors: Hussain Sajjad , Khanam Tasawar , Ullah Subhan , Aziz Fouzia , Sattar Abdul , Hussain Imran , Saddique Muhammad Abu Bakar , Maqsood Amna , Ding Changfeng , Wang Xingxiang , Yang Jianjun
Published: November 2023

In developing countries, like Pakistan, the pursuit of urbanization and economic development disrupts the delicate ecosystem, resulting in additional biogeochemical emissions of heavy metals into the human habitat and posing significant health risks. The levels of these trace elements in humans remain unknown in areas at higher risk of pollution in Pakistan. In this investigation, selected trace metals including Copper (Cu), Chromium (Cr), Lead (Pb) Cadmium (Cd), Cobalt (Co), Nickel (Ni), and Arsenic (As) were examined in human hair, urine, and nail samples of different age groups from three major cities (Muzaffargarh, Multan, and Vehari) in Punjab province, Pakistan. The results revealed that the mean concentrations (ppm) of Cr (1.1) and Cu (9.1) in hair was highest in Muzaffargarh. In urine samples, the mean concentrations (μg/L) of Co (93), As (79), Cu (69), Cr (56), Ni (49), Cd (45), and Pb (35) were highest in the Multan region, while As (34) and Cr (26) were highest in Vehari. The mean concentrations (ppm) of Ni (9.2), Cr (5.6), and Pb (2.8), in nail samples were highest in Vehari; however, Multan had the highest Cu (28) concentration (ppm). In urine samples, the concentrations of all the studied metals were within permissible limits except for As (34 µg/L) and Cr (26 µg/L) in Vehari. However, in nail samples, the concentrations of Ni in Multan (8.1 ppm), Muzaffargarh (9 ppm), Vehari (9.2 ppm), and Cd (3.69 ppm) in Muzaffargarh exceeded permissible limits. Overall, the concentrations of metals in urine, nail, and hair samples were higher in adults (39–45 age group). Cr, Cu, and Ni revealed significantly higher concentrations of metals in hair and water in Multan, whereas As in water was significantly (p < 0.001) correlated with urinary As in Multan, indicating that the exposure source was region-specific.
Use of Spatial Data in the Simulation of Domestic Water Demand in a Semiarid City: The Case of Campina Grande, Brazil
Authors: Brito Higor Costa de , Rufino Iana Alexandra Alves , Barros Filho Mauro Normando Macedo , Meneses Ronaldo Amâncio
Published: November 2023

In the face of urban expansion, ensuring sustainable water consumption is paramount. This study aims to develop a domestic water demand forecast model that considers population heterogeneity and the urban area distribution in a city in the Brazilian Semiarid Region. The methodology comprises three main steps: (1) spatial data collection to identify explanatory variables for a future Land Use and Cover (LULC) model; (2) simulation of LULC data for 2030, 2040, and 2050 using the MOLUSCE plugin; and (3) estimation of domestic water demand based on projected urban area expansion and a linear regression model incorporating demographic indicators of household income, residents per household, total population, and gender. The results demonstrated a consistent LULC simulation, indicating an urban expansion of 4 km2 between 2030 and 2050, with reductions of 0.6 km2 in natural formations and 3.4 km2 in farming areas. Using LULC data, the study predicted a 14.21% increase in domestic water consumption in Campina Grande for 2050 compared to 2010, equivalent to an increase of 2,348,424.96 m3. Furthermore, the spatial analysis draws a spatial profile of water consumption among residents, highlighting the areas with the highest per capita consumption. Thus, this research offers a consistent approach to estimating water demand in regions with limited consumption data, providing valuable insights for decision-makers to consider in urban planning.
Immunogenicity and Therapeutic Efficacy of a Sendai-Virus-Vectored HSV-2 Vaccine in Mouse and Guinea Pig Models
Authors: Ren Xiuxiu , Su Wenhao , Li Shishi , Zhao Tingting , Huang Qiufang , Wang Yinan , Wang Xiaojie , Zhang Xiaohuan , Wei Jiangbo
Published: November 2023

Background: To date, there is no licensed vaccine for preventing herpes simplex virus type 2 (HSV-2). The current treatment to address the infection and prevent its transmission is not always satisfactory. Methods: We constructed two recombinant vectors, one encoding HSV-2 glycoprotein D (gD, SeV-dF/HSV-2-gD) and one encoding HSV-2-infected cell protein 27 (ICP27, SeV-dF/HSV-2-ICP27), based on a replication-defective Sendai virus through reverse genetics, collectively comprising a combinatorial HSV-2 therapeutic vaccine candidate. The immunogenicity and proper immunization procedure for this vaccine were explored in a murine model. The therapeutic effect that helps prevent recurrent HSV-2 disease was evaluated in HSV-2-infected guinea pigs. Results: Both a robust humoral immune response and a cellular immune response, characterized by the neutralizing antibody titer and the IFN-γ level, respectively, were elicited in BALB/c mice. A further study of cellular immunogenicity in mice revealed that T lymphocytes were successfully enhanced with the desirable secretion of several cytokines. In HSV-2-seropositive guinea pigs, vaccination could reduce the severity of HSV-2 in terms of recurrent lesions, duration of recurrent outbreak, and frequency of recurrence by 58.66%, 45.34%, and 45.09%, respectively, while viral shedding was also significantly inhibited in the vaccine-treated group compared to the group treated with phosphate-buffered saline. Conclusions: The replication-defective recombinant Sendai viruses conveying HSV-2-gD and ICP27 proteins showed great immunogenicity and potential for preventing recurrent HSV-2 disease.
First Investigation of the Optimal Timing of Vaccination of Nile Tilapia (Oreochromis niloticus) Larvae against Streptococcus agalactiae
Authors: Kumwan Benchawan , Bunnoy Anurak , Chatchaiphan Satid , Kayansamruaj Pattanapon , Dong Ha Thanh , Senapin Saengchan , Srisapoome Prapansak
Published: November 2023

To investigate early immune responses and explore the optimal vaccination periods, Nile tilapia at 1, 7, 14, 21, 28, 35, and 42 days after yolk sac collapse (DAYC) were immersed in formalin-killed Streptococcus agalactiae vaccine (FKV-SA). A specific IgM was first detected via ELISA in the 21 DAYC larvae (0.108 g) at 336 h after vaccination (hav), whereas in the 28–42 DAYC larvae (0.330–0.580 g), the specific IgM could be initially detected at 24 hav. qRT–PCR analysis of the TCRβ, CD4, MHCIIα, IgHM, IgHT, and IgHD genes in 21–42 DAYC larvae immunized with the FKV-SA immersion route for 24, 168, and 336 hav revealed that the levels of most immune-related genes were significantly higher in the vaccinated larvae at all DAYCs than in the control larvae (p < 0.05) at 336 hav. Immunohistochemistry demonstrated stronger IgM signals in the gills, head kidney, and intestine tissues at 21, 28, and 35 DAYC in all vaccinated larvae compared with the control. Interestingly, at all DAYCs, FKV-SA larvae exhibited significantly higher survival rates and an increased relative percent survival (RPS) than the control after challenge with viable S. agalactiae, particularly in larvae that were immunized with FKV-SA at 168 and 336 hav (p < 0.05).
Domestic Garbage Classification and Incentive-Based Policies in China: An Empirical Analysis
Authors: Shen Yang , Zhu Tao , Kumar Rupesh , Kumar Amit , Chen Shaojun
Published: November 2023

In recent decades, with the rising living standards of rural China, the amount and volume of household waste has increased continuously, causing serious environmental and human health risks. Effective garbage classification reduces garbage volume, decreases the difficulty of garbage disposal, and facilitates the recycling of resources, thereby improving environmental quality. Domestic garbage classification (DGC) has been practiced frequently in developed countries and is now at a relatively mature stage. There is no robust model for garbage classification available globally as of yet, and each country has its policy frameworks to reduce, recycle, and reuse (3R) garbage. Little attention has been paid to knowing whether and to what extent incentive-based policies called “rewards and punishments” improve garbage classification and further help achieve targets of sustainable development goals (SDGs). Recently, developing countries, like China, have begun to incorporate DGC into their laws and promote enforcement measures in a few cities. However, empirical studies on residents’ willingness to accept DGC punishments and rewards are still relatively scarce and a hot topic of global scientific discussion. To enrich the knowledge, this study collected datasets from 9983 valid questionnaires from east China (16 selected independent variables), and analyzed the key factors affecting residents’ acceptance of punishments and rewards, employing logit models. The results found that the level of education plays an important role for residents that are more inclined to accept DGC rewards and punishments. Moreover, farmers were insensitive to DGC rewards but very sensitive and unsupportive of punishments, and the hardware facilities of the quarter had a greater impact on residents’ willingness to accept DGC rewards and punishments. Findings recommend that rewards be the main focus and punishments be supplemented, thus the incentive-based policies should be improved through law enforcement and implementation of robust policy frameworks in order to promote residents’ acceptance of rewards and punishments and to accelerate better garbage classification.
Estimating a Reliable Water Budget at a Basin Scale: A Comparison between the Geostatistical and Traditional Methods (Foro River Basin, Central Italy)
Authors: Di Giovanni Alessia , Di Curzio Diego , Pantanella Davide , Picchi Cristiana , Rusi Sergio
Published: November 2023

Recently, new numerical methods have been applied to weather data for the estimation of water budget, especially when the lack of measured data is considerable. Geostatistics is one of the most powerful approaches when it comes to studying spatially relevant natural phenomena, as it considers the spatial correlation among measurements over a specific study area and provides the associate uncertainty. In this study, we tested the feasibility of using a geostatistical method to provide a reliable estimation of the water budget of the Foro river basin (Central Italy) by comparing the obtained results with those of a traditional yet robust method. The results obtained with the geostatistical approach proved to be in line with the ones from the traditional method. Additionally, it was possible to quantify the uncertainty associated with the discharge values, making the estimates more reliable than the ones obtained with the traditional approach. However, the yearly distribution of river discharge obtained using both methods appeared to be dissimilar to the measured ones. The surface water uses, as well as the regulatory effect of the carbonate and alluvial aquifer regime, may affect the river discharge variability over the year and then can account for similar discrepancies between the inflow and outflow water volumes.
Electrochemical Impedance Spectrum (EIS) Variation of Lithium-Ion Batteries Due to Resting Times in the Charging Processes
Authors: Li Qingbo , Yi Du , Dang Guoju , Zhao Hui , Lu Taolin , Wang Qiyu , Lai Chunyan , Xie Jingying
Published: November 2023

The electrochemical impedance spectrum (EIS) is a non-destructive technique for the on-line evaluation and monitoring of the performance of lithium-ion batteries. However, the measured EIS can be unstable and inaccurate without the proper resting time. Therefore, we conducted comprehensive EIS tests during the charging process and at different state of charge (SOC) levels with various resting times. The test results revealed two findings: (1) EIS tests with a constant long resting time showed a clear pattern in the impedance spectral radius—a decrease followed by a slight increase. We analyzed the impedance data using an equivalent circuit model and explained the changes through circuit parameters. (2) We examined the effect of resting time on impedance at consistent SOC levels. While low SOC levels exhibited significant sensitivity to resting time, medium SOC levels showed less sensitivity, and high SOC levels had minimal impact on resting time. The equivalent circuit parameters matched the observed trends. Kramers–Kronig transformation was conducted to assess the reliability of the experiments. This study not only summarizes the relationship between the EIS and SOC but also highlights the importance of resting time in impedance analysis. Recognizing the role of the resting time could enhance impedance-based battery studies, contribute to refined battery status evaluation, and help researchers to design proper test protocols.
Elektronik Atıkların Tersine Lojistik Sürecinde Swot Analizi ile Değerlendirilmesi
Authors: ŞAHİN Hakan Hanifi , TAŞER Atıl
Published: November 2023

Ticaret kavramının oluştuğu ilk andan bu yana öncelikle değiş tokuş usulü ile başlayan bu süreç ileri lojistik faktörleri üzerinde gelişme göstermiştir. Bahse konu zamanlarda kaynakların ticaret hacmine kıyasla yeterli olmasından kaynaklı ileri lojistik yönlü olarak teoriler, fikirler ve faaliyetler gelişme göstermiştir. 1981 yılına gelindiğinde ilk kez Lambert ve Stock ile tersine lojistik (reverse logistics) kavramı tasvir edilmiştir. Yok olmakta olan kaynakların tersine lojistik faaliyetler ile birlikte geri dönüştürülme, yeniden kullanıma kazandırılma başlıca temel çerçeveden hareketle çalışmalar yürütülmüş, günümüze kadar da süreç gelişme göstermiş ve göstermeye de devam etmektedir. Tersine lojistik kavramı otomotiv, ev gereçleri (beyaz eşya, televizyon, fırın vb.), elektronik eşyalar gibi sektör ve endüstride geri dönüşümü sağlanan ürünlerin bütününü kapsamaktadır. Sektörler arasında sıfır atık projesi de incelemeye tabi tutulduğunda araştırmamızın ana hedefi konumunda olan elektrikli ve elektronik ürünler tersine lojistik süreçlerin yoğun yaşandığı faaliyetler olmakla birlikte en çok geri kazanımın da yaşandığı endüstri niteliği taşımaktadır. Elektronik atıklar içerisinde barındırdığı bileşen çeşitliliği ile (plastik, metal, cam, devre kartları, altın, bakır, alüminyum, işlemciler vb.) hem ekonomik değer ihtiva etmesi hem de yeniden kullanma kapsamında geniş bir yelpaze oluşturması sebebiyle araştırmamızın merkezinde yerini almaktadır. Elektronik eşyaların tersine lojistik kapsamında SWOT analiz yöntemi ile değerlendirilmesindeki ana amaç ise analizin portföyünü oluşturan güçlü ve zayıf yanlar ile fırsat ve tehdit oluşturan yönleri belirlemektir. Sektöre yönelik oluşturulan konu başlıklarında elektronik atık faaliyeti yürüten firmalardan edinilen bilgiler ışığında değerlendirmeye tabi tutulmuştur. Elektronik atıkların tersine lojistik süreci içerisindeki olumlu ve olumsuzluklar ile avantaja dönüştürülmesi gereken konular ele alınmıştır. Aynı zamanda eksik yönlerin tespit edilip, fırsata dönüştürülmesinin sağlanmasına yönelik atılımların yapılması gerektiği vurgulanmıştır. Tersine lojistik süreci ile birlikte elektronik atıkların geri kazandırılması açısından uluslararası pazarda yerimizi almak ve söz konusu endüstriyel sektörün gelişimine katkı sağlamak amaçlanmaktadır. Ayrıca yapılan analiz ile yetişmiş işgücünde eksikliklerin giderilmesi, yeterli donanıma sahip elektronik atık ayrıştırma ve işleme tesislerinin oluşturulması ile hammadde ihracatı sürecinden; katma değerli, yeniden kazandırılmış kullanılabilir ürün pazara sürülerek ülke ekonomisine, istihdama, çevre sorunlarına ve küresel elektronik atık değerlendirilmesindeki kazanımlara sahip olunmasını sağlamak hedeflenmektedir.
The impact of activation of lipid peroxidation and correctors of calcium-phosphorus metabolism on the condition of periodontal tissues in experimental periodontitis
Authors: Verevkina Yu. V. , Shamanova Z. K. , Ovsyannikova A. A. , Sirak S. V. , Arutyunov A. V. , Bykova N. I. , Sirak E. S.
Published: November 2023

Relevance. The activation of lipid peroxidation in ultrastructural damage to the oral cells and tissues and maintaining periodontal inflammation plays a crucial role in periodontitis development. There is also evidence of the positive role of some calcium-phosphorus metabolism correctors on the condition of inflamed periodontal tissues. Thus, studying the impact of activation of lipid peroxidation and calcium-phosphorus metabolism correctors in chronic periodontitis treatment is of undoubted theoretical and practical interest. The study developed an experimental model of chronic periodontitis, which helped to investigate the effectiveness of therapy with teriparatide (parathormone) and ethylmethylhydroxypyridine succinate (Mexidol).Purpose. The study aimed to investigate the impact of activation of lipid peroxidation and calcium-phosphorus metabolism correctors on the periodontium condition in an experimental model of chronic periodontitis.Material and methods. An experimental study included 48 white laborator y male rats weighing 230-280 grams using the author's experimental periodontitis model. Result processing utilized a specialized complex of histological, immunohistochemical and biochemical research methods.Results. Lipid peroxides proved to play a crucial role in the development and progression of chronic periodontitis. The therapy carried out in the main group of animals is a factor initiating the acceleration of restructuring metabolic processes of periodontium cell membrane structures to activate ion transport and increase the activity of membrane-bound enzymes that block the chain reaction of oxygen molecule transgeneration from precursor cells with the formation of aldehydes, peroxides and ketones.Conclusion. The study results substantiate the need for additional prescription of antioxidants and calcium-phosphorus metabolism correctors to maintain the balance of antiradical and antiperoxide compounds.
PECULIARITIES OF MORAL CONSCIOUSNESS OF PERSONALITY: THEORETICAL MODEL
Authors: Vasylets K.
Published: November 2023

The article is devoted to the problem of moral consciousness research and its components; a brief review of scientific research on this phenomenon. The article presents the scientists views in various fields, including philosophy, ethics and psychology on the components of moral consciousness and their content in its functioning. Moral consciousness is considered to be a regulator of behavior, which reflects the attitude of the individual to himself, others and generally accepted norms. Considerable attention in the content of the article is paid to clarifying the content structure of moral consciousness and explaining its components. Based on the analysis of scientific sources, we have created a theoretical model of moral consciousness, which reflects the author's vision of this phenomenon. The author singles out four components of moral consciousness: regulatory, personal, social and attitude, which allow a more detailed study of moral consciousness. The expediency of isolating each components and their components is substantiated. In general, the presented model provides an opportunity to expand the aspects of the moral consciousness study as a regulator of behavior in the future. Among the prospects for further explorations, we have outlined the typology of moral consciousness and the type profiles specification.
RESEARCH OF IDENTITY IN STUDENTS THAT RECEIVE SECOND HIGHER EDUCATION
Authors: Pevelko I.
Published: November 2023

The article substantiates the need to study the problem of identity and the conditions of its formation. Theoretically, the reasons for which a person receives a second higher education, one of which is experiencing a crisis of identity.

The study of identity uses a personal approach, which is based on the laws of construction, functioning and development of personality and is a set of conceptual ideas, psychodiagnostic and developmental methods that contribute to the formation of a higher education mature identity. A structural model of subjective and crisis identity of applicants for higher education has been developed and substantiated. The content of the applicants receiving a second higher education subjective and crisis identity structural model of is that each component of the content-personal dimension makes a systematic contribution to the formation and experience of personal identity, personal and professional.It is determined that the central psychological mechanism of the reflexive process of identity is decentralization, due to which the individual finds his/her own, not imposed path of development, which is accompanied by a sense of personal and professional certainty, identity and integrity. The concept of subjective identity by substructures of personality is introduced; gained further development of ideas about the psychological conditions and means of developing the student’s identity.The results of subjective and crisis identity in applicants for second higher education and applicants receiving first higher education experimental study are presented. In particular, it was studied that only 50.01% of applicants who receive a second higher education have a personal identity and 38.8% - respectively, a professional identity. Identity status in the moratorium stage (state of identity crisis) was diagnosed in 33.33% of applicants for second higher education and 9.09% of applicants receiving first education.The structural model of subjective and crisis identity of applicants receiving a second higher education provides a basis for a productive search for preconditions and determinants as factors in overcoming the identity crisis and creating an adequate, even ideal, subjective and professional identity.
Estrategias pedagógico-productivas para la valoración del agroturismo en la educación primaria rural
Authors: Briceño Núñez Chess Emmanuel , Briceño Delgado Meggy Jacqueline , Montilla Soto Alen David
Published: November 2023

Esta investigación se apoyó en el paradigma post positivista, tuvo un enfoque cualitativo, con un diseño de campo etnográfico, y su propósito fue indagar sobre diversas estrategias pedagógico-productivas  para la valoración del agroturismo en la educación primaria rural, la muestra estuvo conformada por 5 docentes en ejercicio activo de la Escuela Rural Bolivariana La Chiquinquirá Mérida-Venezuela, quienes fueron considerados como actores contextuales o informantes clave. El estudio se llevó a cabo mediante la observación directa y participativa, y los datos fueron recabados mediante la Entrevista estructurada y en profundidad, con preguntas abiertas de amplia y flexible respuesta. Los resultados obtenidos permiten proponer cambios en los ejes de discusión y ejecución de acciones ya que se pasa de un eje productivista centrado en lo sectorial, a otras herramientas interpretativas y de gestión más compleja, en las cuales se asocia la agricultura y el resto de usos desde una estructura multifuncional.
Fortalecimiento de la investigación en ingeniería mediante la formación de gestores de conocimiento
Authors: Torres Espada Juan Simón
Published: November 2023

Una de las debilidades comunes observadas en procesos de evaluación externa y acreditación de programas de ingeniería de las universidades bolivianas privadas y las públicas, es el componente investigativo. Con la presente investigación se pretende desarrollar una metodología que permita fortalecer la investigación de las carreras de ingeniería desde el aula, mediante la formación de gestores de conocimiento.
Basado en la ingeniería didáctica apoyada por la clase inversa, se implementó el desarrollo de un proyecto final de asignatura transversalizando la metodología de investigación para la elaboración de un perfil de proyecto y desarrollo, los resultados se plasman en un informe final según formato IMRAD (introducción, métodos y materiales y discusión).En las asignaturas muestra se consiguió elevar la eficiencia y eficacia del proceso docente educativo PDE, la satisfacción del alumno por los logros conseguidos, finalmente la habilidad adquirida como nuevo gestor del conocimiento.
Percepción de la concepción de compasión y sabiduría: estudio a estudiantes universitarios
Authors: Ruiz Mendoza Karla Karina , Castillo Villapudua Karla Yudit
Published: November 2023

En el presente trabajo se analiza la importancia de la compasión y la sabiduría en la educación holista, para lo cual se revisaron las concepciones aprendidas por estudiantes universitarios. La justificación del tema se basa en la necesidad de formar individuos más humanos y comprometidos con su entorno. El objetivo fue revisar el marco teórico en torno a la compasión y la sabiduría, así como analizar los resultados de un estudio observacional descriptivo de corte transversal realizado con ensayos de 12 estudiantes de la Licenciatura de Asesoría Psicopedagógica de una universidad en México. Los resultados mostraron que el ensayo es un recurso didáctico esencial para el aprendizaje de la compasión y la sabiduría, ya que permite a los estudiantes aprender de sí mismos y de sus propias reflexiones. En conclusión, se destaca la importancia de incluir estos valores en la formación de individuos comprometidos con su entorno y se sugiere que la educación holista es una herramienta efectiva para lograrlo.
Resultados de exámenes de nivel de inglés en México: Revisión sistemática de investigaciones
Authors: Cid de León Emilia Meneses
Published: November 2023

El idioma inglés es la lengua franca en el mundo, mediante el cual se interactúa en diversos sectores como medios de comunicación y mercados internacionales. Debido a su importancia, su aprendizaje está en el sector educativo de 138 países incluyendo México, por lo que organizaciones nacionales e internacionales evalúan su dominio de competencia. Este trabajo realiza una revisión de los diferentes resultados de exámenes de inglés en México. La metodología utilizada es de tipo cualitativo, basada en los primeros cuatro niveles de la nueva Taxonomía de Marzano y Kendall para la recolección y análisis de datos. La búsqueda y análisis de información se concentró desde nivel básico hasta superior. Los hallazgos indican que México tiene un nivel bajo de inglés. Aunque ha habido avances en nivel básico; bachillerato y nivel superior requieren de más trabajo para ser competentes en la comunicación global que se exige en nuestros días.
Mutação em heterozigose de BRSK2 causando distúrbio no neurodesenvolvimento associado a displasia septo óptica plus: relato de caso
Authors: Pereira Danilo de Assis , Vieira Marta Wey , Watanabe Cyntia , Mariano Marina Helena , Marcon Nathália , Ribeiro Leonardo Louzada , Sasaki Julia Naomi Mazoni
Published: November 2023

Introdução. A displasia septo-óptica é uma síndrome diagnosticada pela presença de: hipoplasia do nervo óptico, disgenesia da linha média e alterações hormonais da hipófise.  Relato de Caso. Paciente de dois anos do sexo feminino com obesidade, baixa estatura, atraso no desenvolvimento neuropsicomotor, estereotipias em linha média, estrabismo divergente e atrofia do disco óptico. Ressonância magnética do encéfalo mostrou alterações caracterizando displasia septo-óptica plus. Realizado sequenciamento genético, identificando mutação em heterozigose no gene BRSK2 na posição chr11:1.443.106, com o diagnóstico de Distúrbio do Neurodesenvolvimento associado ao gene BRSK2 (OMIM*609236). Essa variante nunca foi descrita na literatura médica. Conclusão. Combinação do mecanismo molecular, características da região onde ela se encontra e correlação deste gene com os sintomas clínicos indicam que esta variante é provavelmente patogênica.
Marketing Approaches for a Circular Economy
Authors: Pradeep Shetye Maitrayee
Published: November 2023

The circular economy is a model of production and consumption, which involves sharing, leasing, reusing, repairing, refurbishing and recycling existing materials and products as long as possible. In this way, the life cycle of products is extended. In practice, it implies reducing waste to a minimum. When a product reaches the end of its life, its materials are kept within the economy wherever possible. These can be productively used again and again, thereby creating further value. The circular economy is based on the model of production-consumption-recycling/reuse. At the end of a product's life cycle, its materials are reused to create other goods. The circular model (or sustainable practices) can be adopted by companies in any sector. In a circular economy, marketing can be used as a tool to explore circularity opportunities among the target audiences, and to understand what circular opportunities exist, uncover those opportunities, and then collaborate with production specialists and R&D teams in creating the products to serve those needs. However, there are few studies that incorporate a marketing and communications perspective on the circular economy or which focus on the ways in which businesses providing circular products or services currently use communications to market their offerings and influence consumer behaviour. This paper represents an initial, exploratory study that highlights the recycling done in various Industrial sectors
Implementation of circular economical strategies for adaptive reuse of Hill-forts in Mawal Taluka- Pune, Maharashtra.
Authors: Dalvi Prachi
Published: November 2023

The circular economy is used as a consumption model, for providing rational optimization framework inorder to share, rent or lease, reuse, repair, reconstruct, and recycle existing materials and products to generate an economy. Adaptive use of cultural elements like heritage buildings, forts, art, tradition, and literature will lead to the development of an economy. For all Adaptive Reuse projects, the safe bearing capacity of site along with its total embodied energy, and non-renewable energy of resource materials play crucial roles. However, highlighting the significance of reducing environmental footprint can be achieved by analysing and implementing PESTLE parameters. For any adaptive reuse, a structural audit shall be mandate to verify the conservation plan followed with the managerial plan of circular economy. To encourage tourism in Maharashtra, investment is being made in conservation and repairs of the infrastructure, local heritage and better local facilities to access them. The implementation of the circular economy in encouraging fort development plays an important role in its adaptive reuse. Adaptive reuse of the forts in Maharashtra will allow reduced pollution and waste, and help generate revenue; thus, making it self-sustainable. The application of strategies of circular economy will reduce air, noise, and land pollution and even preserve the historical values of Forts. It is can be used to evaluate the appropriateness of the reuse of re-functioned forts. The model studies and proposes a qualitative approach towards adaptive reuse of forts as per the PESTLE parameters of the related context.
A Study on Effectiveness of Recruitment Process
Authors: Barathnivash. V
Published: November 2023

Humans are the building blocks of any business today and their selection and placement is critical for a company's success. This research aims to assist Human Resources and management personnel to better select, develop and care for their staff. By utilizing a dynamic recruitment strategy, businesses can ensure that their employees are placed correctly to drive efficiency and growth. This study is basically to understand and analyze the effectiveness of the recruitment and its process with organizational support for the better aid of knowledge. Better recruitment strategies result in improving organizational outcomes. The main objective is to identify the level of satisfaction about the recruitment process. The research methodology applied to the exploratory method. The sample size was 110. The data was collected through well structured questionnaires. The source of data was both primary and secondary. Data analysis has been done with the help of SPSS software. Most of the respondents mentioned company portals as the most important medium for hiring employees. This study seeks to evaluate the effectiveness of recruitment processes and organizational support in terms of knowledge acquisition. To this end, researchers have explored the relationship between demographic factors and individual factors by using statistical tools such as Percentage Analysis, weighted average method, chi- square. The findings of this research could provide valuable insight for organizations in terms of recruitment and its impact on knowledge acquisition. This study sought to evaluate the effectiveness of recruitment processes in organizations. With a highly competitive job market, these organizations must ensure that they are utilizing the best practices for recruiting and selecting qualified and capable employees.