bluuebunny/crossref_metadata_2025 huggingface dataset:
Looking Ahead: Investigation of an ad-hoc shift to online teaching with students as co-inquirers
Authors: Cossu Remo , Fleming Melanie
Published: October 2022

In this pilot study staff researchers work with a Students-as-Partners team as co-researchers to explore the rapid shift to emergency remote teaching in 2020. The surveying and analysis was conducted with five undergraduate engineering students. The feedback from both the Students-as-Partners team and the surveyed student cohort underlines the significance of integrating students into education practices and training them to become the driver for change by focussing on students as active partners in their own learning. Future work will expand the survey methods where Students-as-Partners lead focus group discussions to obtain more detailed feedback to address and eventually overcome the challenges for online teaching and learning.
Evaluation of a Hybrid Learning Block Model for Engineering Design Interview Skill Building
Authors: Strehl Elizabeth , Loweth Robert , Daly Shanna
Published: October 2022

Design interviews with stakeholders are an important source of information that engineering designers can use to identify stakeholder needs and develop solutions that meet stakeholder requirements. However, engineering students often struggle to conduct effective design interviews. In this study, we investigated changes in engineering students’ interview approaches after engaging with a novel pedagogical intervention known as the Hybrid Learning Block model. We identified specific differences in interviewing behaviors between pre-block and post-block interview tasks with proxy stakeholders. Compared to pre-block interview tasks, participants’ post-block interviewing behaviors and approaches aligned more closely with recommended interviewing practices from literature. Participants more frequently exhibited behaviors related to deep exploration of stakeholder perspectives and demonstrated more advanced phrasing of questions. In addition, participants structured their post-block interview tasks in ways that more closely aligned with recommended practices, for instance by including more comprehensive interview introductions and employing a more diverse array of questioning techniques. Our findings also suggest improvements that we might make in future iterations of the hybrid learning blocks, such as including content more specifically tailored to addressing common student interviewing mistakes. Students can benefit from scaffolded, evidence-based ways to improve their design interviewing skills, such as the hybrid learning blocks, that can ultimately support them in developing more appropriate design solutions.
Wireless Controlling for Garbage Robot (G-Bot)
Authors: Husni Nyayu Latifah , Robi Robi , Prihatini Ekawati , Handayani Ade Silvia , Rasyad Sabilal , Firdaus Firdaus
Published: October 2022

This paper presents one of the solutions in overcoming the garbage problems.  The people sometimes feel too lazy to throw the garbage into proper place due to their habit that has been grown since little kids.  In this research, A G-Bot, a robot that has function as the garbage container is offered.  By using an Internet of Things (IoT) application, the users can control the motion of the G-Bot wirelessly, so that it can move to the users’ desired location.  In addition, the covers of the G-Bot can also be opened using smart phones that connected to the G-Bot.  A Blynk that acts as the IoT Application is used in order to set up the G-Bot communication.  From the experimental result, it can be concluded that the proposed research has been successful to be implemented. The users can move the G-Bot to the targeted location wirelessly, and they can also open and close the G-Bot’s lids wirelessly trough the mobile phones.
Fuzzy Logic Controller Application for Automatic Charging System Design of a Solar Powered Mobile Manipulator
Authors: Septiarini Fradina , Dewi Tresna , Rusdianasari Rusdianasari
Published: October 2022

Agriculture is a vital industry that affects the livelihoods of many people. Given the reduction in agricultural employees and the increasing strain on farmers, this sector requires convenience, which the automation system may provide. One of the automations is mobile manipulator implementation to substitute farmers.  This study investigates the automatic battery charging system supported by the Fuzzy Logic Controller (FLC) to power a mobile manipulator. The application of solar charging is an ideal power source for the robot applied in the open field with high irradiance all year long. This charging system is equipped with IoT monitoring online to monitor the available power produced by solar panel and the battery capacity condition. The effectiveness of the proposed method is proven by experiments conducted for ten times charging in ten days, where the highest power produced by the panel is 1.080 W with 0.563 W charged to the battery. The highest irradiance comes with the highest surface panel temperature of 58.9OC at the irradiance rate of 1021 W/m2. The experimental results show the possibility of the solar-powered robot, which is ideal for agriculture implementation.
Driver Drowsiness Detection Based on Drivers’ Physical Behaviours: A Systematic Literature Review
Authors: Caryn Femilia Hardina , Rahadianti Laksmita
Published: October 2022

One of the most common causes of traffic accidents is human error. One such factor involves the drowsy drivers that do not focus on the road before them. Driver drowsiness often occurs due to fatigue in long distances or long durations of driving. The signs of a drowsy driver may be detected based on one out of three types of tests; i.e., performance test, physiological test, and behavioural test. Since the physiological and performance tests are quite difficult and expensive to implement, the behavioural test is a good choice to use for detecting early drowsiness. Behaviour-based driver drowsiness detection has been one of the hot research topics in recent years and is still increasingly developing. There are many approaches for behavioural driver drowsiness detection, such as Neural Networks, Multi Layer Perceptron, Support Vector Machine, Vander Lugt Correlator, Haar Cascade, and Eye Aspect Ratio. Therefore, this study aims to conduct a systematic literature review to elaborate on the development and research trends regarding driver drowsiness detection. We hope to provide a good overview of the current state of research and offer the research potential in the future.
The Effectiveness of Image Preprocessing on Digital Handwritten Scripts Recognition with The Implementation of OCR Tesseract
Authors: Mursari Lily Rojabiyati , Wibowo Antoni
Published: October 2022

Optical Character Recognition (OCR) has been widely discussed in various topics in the rise of robotics, artificial intelligence and computer vision. OCR has become a solution in extracting characters from the image into machine-encoded text. This research aims to discuss character recognition from digital handwritten image. However, characters recognition problems using OCR has been more or less solved. OCR mainly implemented in reading characters from scanned of printed documents. In this research, image preprocessing including convert to grayscale, morphological operations and noise removal has been successfully boost the accuracy score of OCR performance. The average success outcome resulted to 79.26% in reading characters from the image.
Segmentation of Squamous Columnar Junction on VIA Images using U-Net Architecture
Authors: Arum Akhiar Wista , Nurmaini Siti , Rini Dian Palupi , Agustiansyah Patiyus , Rachmatullah Muhammad Naufal
Published: October 2022

Cervical cancer is the second most common cancer that affects women, especially in developing countries including Indonesia. Cervical cancer is a type of cancer found in the cervix, precisely in the squamous columnar junction (SCJ). Early screening for cervical cancer can be reduce the risk of cervical cancer. One of the popular screening tool methods for the detection of cervical pre-cancer is the Visual Inspection with Acetic Acid (VIA) method. This is due to the level of effectiveness, convenience and low cost. This paper proposes a method for the detection and segmentation of the SCJ region on VIA images using U-Net. This study is the first research conducted using the CNN method to perform segmentation tasks in the SCJ region. The best performance results are shown from the Pixel Accuracy, Mean IoU, Mean Accuracy, Dice coefficient, Precision and Sensitivity values, namely 90.86%, 56.5%, 75.69%, 34.09%, 41.24%, and 56.91%.

Keywords: Cervical Pre-cancer, Screening VIA, SCJ, U-Net.
Performance Comparison of Feature Face Detection Algorithm on The Embedded Platform
Authors: Zarkasi Ahmad , Nurmaini Siti , Stiawan Deris , Suprapto Bhakti Yudho , Ubaya Huda , Kurniati Rizki
Published: October 2022

The intensity of light will greatly affect every process carried out in image processing, especially facial images. It is important to analyze how the performance of each face detection method when tested at several lighting levels. In face detection, various methods can be used and have been tested. The FLP method automates the identification of the location of facial points. The Fisherface method reduces the dimensions obtained from PCA calculations. The LBPH method converts the texture of a face image into a binary value, while the WNNs method uses RAM to process image data, using the WiSARD architecture. This study proposes a technique for testing the effect of light on the performance of face detection methods, on an embedded platform. The highest accuracy was achieved by the LBPH and WNNs methods with an accuracy value of 98% at a lighting level of 400 lx. Meanwhile, at the lowest lighting level of 175 lx, all methods have a fairly good level of accuracy, which is between 75% to 83%.
Brahmi Script Classification using VGG16 Architecture Convolutional Neural Network
Authors: Vincen Vincen , Samsuryadi Samsuryadi
Published: October 2022

Many Indonesians have difficulty reading and learning the Brahmi script. Solving these problems can be done by developing software. Previous research has classified the Brahmi script but has not had an output that matches the letter. Therefore, letter classification is carried out as part of the process of recognizing Brahmi script. This study uses the Convolutional Neural Network (CNN) method with the VGG16 architecture for classifying Brahmi script writing. Training results from various amounts of image data. Smooth model. The requested image data is a 224x224 binary image. This study has the highest quality, accuracy is 96%, highest recall is 98% and highest precision is 98%.
Leukaemia Identification based on Texture Analysis of Microscopic Peripheral Blood Images using Feed-Forward Neural Network
Authors: Puspitasari Wahyu Tri , Haq Dina Zatusiva , Novitasari Dian C Rini
Published: October 2022

ABSTRACT

Leukaemia is very dangerous because it includes liquid tumour that it cannot be seen physically and is difficult to detect. Alternative detection of Leukaemia using microscopy can be processed using a computing system. Leukemia disease can be detected by microscopic examination. Microscopic test results can be processed using machine learning for classification systems. The classification system can be obtained using Feed-Forward Neural Network. Extreme Learning Machine (ELM) is a neural network that has a feedforward structure with a single hidden layer. ELM chooses the input weight and hidden neuron bias at random to minimize training time based on the Moore Penrose Pseudoinverse theory. The classification of Leukaemia is based on microscopic peripheral blood images using ELM. The classification stages consist of pre-processing, feature extraction using GLRLM, and classification using ELM. This system is used to classify Leukaemia into three classes, that is acute lymphoblastic Leukaemia, chronic lymphoblastic Leukaemia, and not Leukaemia. The best results were obtained in ten hidden nodes with an accuracy of 100%, a precision of 100%, a withdrawal of 100%.
Peat Land Fire Monitoring System Using Fuzzy Logic Algorithm
Authors: Latifah Nyayu Husni , Annisah Masayu , Dewi Tresna
Published: October 2022

In this research, a fuzzy logic algorithm is implemented in a monitoring system for detecting the potential fires in peat land.  The monitoring system in this research employs two sensors as the fuzzy inputs, i.e. TGS 2600 gas sensor and DHT11 temperature sensor.  The outputs of the fuzzy logic are the specified conditions of motor activation (PWM) with 3600 rotations. The system is monitored through camera, which sends the monitoring result to android via web server.  The result is sent when TGS 2600 and DHT11 sensors detect the determined gas concentration and surrounding temperature.  Before sending the result, the rotating motor stops every five minutes to take the photograph of peat land location.  The result shows that the algorithm used in this research has been successful in determining the condition of the peat lands correctly and therefore can be used as the early prevention of fires.
Finger Cue for Mobile Robot Motion Control
Authors: Dewi Tresna , Amperawan Amperawan , Risma Pola , Oktarina Yurni , Yudha Dicky Astra , Yudha Dicky Astra
Published: October 2022

The current technology enables automation using a robot to help or substitute humans in industry and domestic applications. This robot invasion to human life emerges a new requirement to set a method of communication between a human and a robot. One of the oldest languages is finger gesture, and this is easy to be applied method by implementing image detection that connected to the actuators of the robot to respond to human orders. This paper presents a method to navigate robots based on human fingers cue, including "Forward," "Backward," "Turn right," "Turn left," and "Stop" to generate the forward, backward, turn right, turn left, and stop motion. The finger detection is facilitated by a camera module (NFR2401L) with the image plane of 640 x 480 and 30 fps speed. The detection in coordinates x <43 and y <100, robot moves forward, in x <29 and y <100-coordinates , robot turns left, and in x <19 and y <100-coordinates , robot turns right. The experiment was conducted to show the effectiveness of the proposed method, and to some extent robot can follow human cues to navigate in its assigned location.
Environmental Application with Multi Sensor Network
Authors: Handayani Ade Silvia , Husni Nyayu Latifah , Permatasari Rosmalinda
Published: October 2022

This paper aimed to monitor temperature, humidity, and CO gas level using environmental application with multi sensor network (MSN). This system was applied in real life and real time, to be able to obtain data and information through mobile devices and other on internet network. In this research, environmental application is monitored remotely using displays on the web and sensors as device. This research obtained data in outdoor and indoor parking area also with obstacles and without obstacles, so it obtained the results from each of the different environmental conditions.
An Improved Throughput for Non-Binary Low-Density-Parity-Check Decoder
Authors: Olajide Omowuyi , Abdulrazaq Bashir , Adedokun Adewale , Umoh Ime , Bello Akan
Published: October 2022

Low-Density-Parity-Check (LDPC) based error control decoders find wide range of application in both storage and communication systems, because of the merits they possess which include high appropriateness towards parallelization and excellent performance in error correction. Field-Programmable Gate Array (FPGA) has provided a robust platform in terms of parallelism, resource allocation and excellent performing speed for implementing non-binary LDPC decoder architectures. This paper proposes, a high throughput LDPC decoder through the implementation of fully parallel architecture and a reduction in the maximum iteration limit, needed for complete error correction. A Galois field of eight was utilized alongside a non-uniform quantization scheme, resulting in fewer bits per Log Likelihood Ratio (LLR) for the implementation. Verilog Hardware Description Language (HDL) was used in the description of the non-binary error control decoder. The propose decoder attained a throughput of 10Gbps at 400-MHz clock frequency when synthesized on a ZYNQ 7000 Series FPGA.
Utilization of Support Vector Machine and Speeded up Robust Features Extraction in Classifying Fruit Imagery
Authors: Muhathir Muhathir , Hidayah Wahyu , Ifantiska Dian
Published: October 2022

Indonesia's various types of fruits can be met by the community. Many fruits that contain a source of vitamins are very beneficial to the body, or as an economic source for farmers. It's no wonder that many experts submit discoveries to increase the amount of productivity or just want to experiment with intelligent systems. Intelligent systems are specially designed machines in certain areas to adjust the capabilities made by the creators. This article provides the latest texture classification technique called Speeded up Robust Features (SURF) with the SVM (Support Vector Machine) method. In this concept, the representation of the image data is done by capturing features in the form of keys. SURF uses the determinant of the Hessian matrix to reach the point of interest in which descriptions and classifications are performed. This method delivers superior performance compared to existing methods in terms of processing time, accuracy, and durability. The results showed that the fruit classification by using the extraction of Speeded up Robust Features (SURF) feature and SVM (Support Vector Machine) Classification method is quite maximal and accurate. Result of 3 kinds of classification with SVM kernel function, SVM Gaussian with 72% accuracy, Polynomial SVM with 69.75% accuracy, and Linear SVM with 70.25% accuracy.
The high sensitivity and specificity of rapid urease test in diagnosis of Helicobacter pylori infection in Moroccan children
Authors: Hibaoui Lahbib , Massik Abdelhamid , Lebbar Zina , Yahyaoui Ghita , Mahmoud Mustapha , Bougnouch Laila , Hamass Naoual , Chbani Laila , Bennani Bahia , Berrahou Mohamed Amine , Idriss Mounia Lakhdar , Hida Moustapha
Published: October 2022

Background and Objectives: Infesting nearly 50% of the world's population, Helicobacter pylori are thought to cause pep- tic ulcers, as well as gastricadenocarcinoma. Several diagnostic methods are available to detect this bacterium; however, at least two must be used together for an accurate diagnosis. Thisstudy evaluated the use of rapid urease test for diagnosis of H. pylori infection in a pediatric population.
Materials and Methods: Five gastric biopsies were taken from children during a 2-year period for the purpose of histolog- ical, molecular, bacteriological culture, and rapid urease testing.
Results: Among 83 children, 38 were male, and 45 were female with an age ranging of 2 to 15 years. The infected group represented 31%. The rapid ureasetest had a sensitivity of 88.5%, a negative predictive value of 94%, a specificity of 84.2%, and a positive predictive value of 72%.
Conclusion: A rapid urease test may be appropriate for ruling out H. pylori infection after a negative result. The positive results however, may be confirmed by a second invasive test.
Subtype diversity and emergence of drug resistance in HIV-1 in solapur district of Maharashtra, India
Authors: Karad Dilip D. , Tandon Ravi , Arya Ajay , Sonawane Kailash D. , Chavan Anusaya S. , Kharat Arun S.
Published: October 2022

Background and Objectives: Even after four decades, HIV infection remains a global challenge and a leading cause of mortality in adults across the world.Anti-retroviral therapy (ART) that controls HIV viremia, is now available through public health facilities in India but drug resistance, which is likely to developamong these individuals remains poorly studied in India. The objectives of present study are to find out the HIV-1 virus subtypes, drug resistance mutationsand HIV-1 drug resistance to NRTI, NNRTI and protease inhibitors in the Solapur district, India.
Materials and Methods: In a cross sectional study, forty two ART-experienced HIV-1-infected patients with CD4+ count < 200 cells ml-1 and viral load (VL) > 3, 000 copies ml-1 were recruited. All patients belonged to Maharashtra State of India near Barshi Solapur and had beenon ART treatment for over 5 years. EDTA whole blood from HIV-1-infected patients was centrifuged and the viral nucleic acid was purified from the plasma.Viral nucleic acid was amplified by PCR using protease and reverse transcriptase specific primers. The resulting amplicons were sequenced and studied formutations. The tools from Stanford University website were used for subtyping of HIV-1 and identification of mutations conferring drug resistance.
Results: Inpresent investigation, HIV-1 subtypes were subtype C in 37 (88.09%), subtype CRF01_AE in 2 (4.76%), and subtype A in 3 patients (7.14%). Drugresistance mutations of NRTI, NNRTI and protease were observed in 15 (37.71%) of 42 patients tested. Drug resistance for NRTI was observed in 12 (28.57%) and for NNRTI in 13 (30.95%) patients. No drug resistance was observed for protease inhibitors.
Conclusion: Considerable HIV-1 drug resistance exists among patients receiving ART from a rural areas of India, suggesting more studies from rural region are required to prevent development of resistance to ART.
Economic Evaluation of Health Interventions: A Critical Review
Authors: Mosadeghrad Ali Mohammad , Jaafaripooyan Ebrahim , Zamandi Mahmoud
Published: October 2022

Background: Economic evaluation is used for the optimal allocation of resources in the health sector. While a large number of economic evaluation studies have been conducted, there is less critical review of these studies. We critically examined the economic evaluation studies of preventive health interventions.
Methods: The study was carried out using critical review method. Seven databases (i.e., PubMed, Cochrane Database of Systematic Reviews, Web of Science, Science Direct, Scopus, Springer Link, and Elsevier) were searched to find articles on economic evaluation of health interventions published from 1985 to 2018. In addition, the references of retrieved studies were hand screened for articles that were not indexed in these databases. Finally, 206 articles, including 33 cost- benefit analysis, 146 cost- effectiveness analysis, and 27 cost- utility analysis were included in this study. These studies were critically evaluated using a checklist of 11 criteria.
Results: Only 20% of the studies met all the methodological criteria of health economic evaluation. The cost perspective, costs type, cost data source, and cost measurement were not explained and discussed in 17%, 20%, 5%, and 33% of studies respectively. Outcome data sources and outcome valuation method were only mentioned in 53% and 69% of studies. The sensitivity analysis and results’ generalizability were not reported in 16% and 46% of studies.
Conclusion: The quality of economic evaluation studies is low, and it can be misleading if resource allocation decisions are made using this evidence. Authors should use valid protocols to conduct and report economic evaluation studies, and journals’ editors should use valid checklists to evaluate these articles.
Unintentional Fall-Related Mortality among the Elderly in Serbia: Importance of Death Reporting Quality
Authors: Lazarevic Konstansa , Stojanovic Miodrag , Milic Dragan , Dolicanin Zana , Stosic Ljiljana , Milicevic Sasa , Bogdanovic Dragan
Published: October 2022

Background: Falls have been one of the leading causes of injury-related deaths among the elderly, having an increasing trend in many countries. We investigated trends of fall-related mortality among people aged ≥65 yr in Serbia.
Methods: Based on official data, we calculated unintentional fall-related mortality rate (MR) from 1998 to 2017, using join point regression analysis to determine annual percentage changes (APC). Starting from 2005, doctors from Serbian Public Health Institute have been controlling the quality of death certificates.
Results:  In the 1998-2004 period, MR decreased in men and women aged 65-74 and men aged ≥85 (by -12.4; -13.0; and -15.1% yearly) followed by an upward trend in men and women aged 65-74 (by 76.3 vs.40.2%yearly) from 2004 to 2007 and men aged ≥85 (by 13.7% yearly) from 2004 to 2017. MR decreased among women aged ≥85 (by-9.8% yearly) from 1998 to 2008 and then increased (by 9.0% yearly) from 2008 to 2017. In men and women aged 75-84, an increase of MR (by 7.4 vs.3.1%) was observed during the entire study period. In all age groups, except women aged ≥85, significant negative correlation was found between fall-related deaths and ill-defined and unknown causes of deaths.
Conclusion:  Control of death certificates by physicians from the Institute of Public Health led to the better reporting of the increasing trend of fall-related mortality among the elderly. Policy makers must investigate risk factors for fall and then adopt national guidelines for prevention and treatment of fall-related injury.
Mediating Role of Social Problem-Solving on the Relationship between Autistic Traits and Depression in a Non-Clinical Iranian Sample
Authors: Salehzadeh Einadab Zahra , Mojtahedzadeh Mahshid , Khalili Elaheh , Dristchel Barbara , Pirnia Bijan
Published: October 2022

Background: Research on the role of social problem-solving in the relationship between autistic traits and depression is still in its nascent stageand more detailed research is required.
Methods: We aimed to investigate the mediating role of problem-solving in the relationship between autistic traits and depression. A sample of 376 university students were assessed on depression, problem-solving and autism-spectrum quotient in 2019 at Shahed University, Tehran, Iran.
Results: Social problem-solving played the role of a partial mediator in the relationship between autistic traits and depression. Positive problem orientation and negative problem-solving style fully mediated the effects of autistic traits on depression.
Conclusion: Since people with autistic traits have deficits in problem-solving strategies, they may be vulnerable to symptoms of depression. Increasing the ability of positive problem-solving and decreasing negative problem orientation may serve as a buffer against depression in people with autistic traits.
AN INTEGRATED APPROACH TO THE PALEORECONSTRUCTIONS OF THE KHAZAR TRANSGRESSIONS OF THE CASPIAN SEA
Authors: Khlopkova Marina V. , Tulysheva Elena V.
Published: October 2022

Along with the malacofaunistic method, which is the main one for studying the paleo events of the Pleistocene, on which the system for diagnosing transgressions and their correlation on different coasts of the Caspian Sea is based, geomorphological and allometric methods were used in the work. Small rivers are very sensitive to small and short-term changes in sea level, which makes it possible to apply the geomorphological method for paleoreconstruction. An integrated approach makes it possible to diagnose a number of paleogeographic changes: fluctuations in sea level, passage of cold or warm currents, straits, changes in sea water temperature. According to the studied fossil complex, it is possible to obtain information about the parameters of the habitat of didacn, when comparing it with previous and subsequent ones, it is possible to judge the direction of paleogeographic events. The alternation of different complexes of bivalves, the use of morphometric characteristics of mollusk shells as an indicator of the ecological situation in the Quaternary period help to stratify the deposits in detail. The change in temperature and salinity of Paleocaspian waters is evidenced by the occurrence in Pleistocene sediments of representatives of didacnas of one of three groups (catillus, crassa, trigonoides). We have correlated the sections of the Khazar deposits of the Dagestan region.
CHANGES IN THE HUMUS CONTENT AND BIOLOGICAL ACTIVITY OF AGRO-DARK-HUMUS PODBEL UNDER VARIOUS AGROTECHNICAL METHODS OF TILLAGE
Authors: Purtova L.N. , Kiseleva I.V. , Timofeeva Ya.О. , Emelyanov A.N. , Timoshinov R.V.
Published: October 2022

Differences in the content of humus, microflora and catalase activity in agro-dark-humus podbels soils with different levels of agrotechnical impact and the use of environmentally friendly (phytomeliorative) methods of increasing soil fertility were established. The higher content of humus, indicators of biogenicity and enrichment in catalase were established in the soils of abandoned field. Bacteria using mineral nitrogen and oligonitrophils was dominated in composition of microflora. The reserves of humus in the meter layer of soils have been characterized as low. Тhe composition of the microflora showed the same regularity under the conditions of the phytomeliorative experiment. The content and reserves of humus decreased in comparison with the soil of abandoned field. Due to the process of nodule formation in the ELnn horizon, a high level of catalase activity was recorded (up to 9.9 cm3 O2/1 min 1 g of soil). This led to an increase in the average intraprofile distribution of catalase activity (Ka) and Кa reserves. Low levels of humus content were recorded in the variant with long-term use of organic fertilizers. At the same time, the humus reserves in the meter layer increased relative to the other variants of the experiment. Oligonitrophils and ammonifiers was dominated in the composition of the microflora, by while the proportion of actinomycetes sharply decreased. The value of Ka and its reserves decreased. Bacteria using mineral nitrogen and oligonitrophils are predominance in variants with with long-term use of mineral fertilizers. The intensification of microbiological activity caused an increase enrichment catalase and an increase in its reserves in soil. The lack of fresh organic matter input led to increased mineralization processes of specific soil organic compounds. This variant is characterized by the lowest humus content.
RADIONUCLIDES IN THE UPPER SOIL LAYER OF SPECIALLY PROTECTED NATURAL TERRITORIES OF THE ROSTOV REGION
Authors: Buraeva Elena A. , Malomyzheva Natalya V. , Shvetsova Daria A. , Bezuglova Olga S.
Published: October 2022

The paper is devoted to the assessment of the features of the distribution of natural radionuclides (226Ra, 232Th, 40K) and artificial 137Cs in the upper soil layer of specially protected areas of the Rostov region. The activity concentration of radionuclides in the soil was measured by the gamma spectrometric method. The distribution of the artificial radionuclide 137Cs in the soils of the Rostov region is uneven. The minimum activity concentration of radiocesium is recorded in the Rostov nature reserve. It is shown that the arithmetic mean, median and modal values of the activity concentration of 137Cs are 21.7, 14.2 and 7.5 Bq/kg, respectively, and the arithmetic mean activity concentration of natural radionuclides in the soils of the protected areas of the Rostov region are 26, 9 Bq/kg for 226Ra, 27.0 Bq/kg for 232Th. These values can be used as background (reference) values in assessing the degree of influence of industry and urbanization on soil radioactivity.
ON THE BOUNDEDNESS AND COMPACTNESS OF A CLASS OF CONVOLUTION-TYPE OPERATORS IN MORREY SPACES
Authors: Avsyankin Oleg G. , Ashikhmin Sergey S.
Published: October 2022

In a Morrey space, we study the integral operator 𝐻𝑏 with the kernel 𝑏(𝑥, 𝑦)ℎ(𝑥 − 𝑦), where ℎ is the summable function. The function 𝑏 will be referred to as a characteristic. For such operator, a sufficient condition of boundedness is obtained. This condition is obviously fulfilled in the case of the essentially bounded function 𝑏(𝑥, 𝑦). It is shown that if the characteristic 𝑏(𝑥, 𝑦) is essentially bounded and has a given behavior at infinity, then the operator 𝐻𝑏 is compact in a Morrey space. As a consequence, we have obtained the criterion for the Fredholm property of the operator, which is the sum of the identity operator and the operator 𝐻𝑏 . Namely, it is shown that such operator is Fredholm if and only if its symbol does not vanish, and the index of the operator is equal to zero.
THE ROLE OF CLIMATIC FACTORS IN THE FORMATION OF THE FLOW OF THE BELAYA RIVER IN THE MODERN PERIOD
Authors: Ovcharenko Ludmila A. , Korotkova Ekaterina A.
Published: October 2022

The paper is devoted to the runoff of the Belaya River flowing on the territory of the Adygea Republic. Factors influencing its formation: air temperature and atmospheric precipitation in a mountainous and piedmont part of the republic are analyzed. The work is based on data from weather stations in the village of Guzeripl and Maikop. The dynamics of air temperature in the mountainous part from 7 to 11.2 °C, in the foothill from 9 to 15.3 °C. Precipitation varies from 482 to 1136 mm in the foothill and from 825 to 1594 mm in the mountainous part. Changes in precipitation and air temperature over five years are analyzed. The water consumption in the upper and middle reaches of the Belaya River is considered, which tends to decrease and varies from 42.11 to 26.9 m3/s and from 83.56 to 52.46 m3/s in the upper and middle reaches, respectively. The correlation of these factors with the flow rate of the river is analyzed and a low pair relationship is revealed.
FEATURES OF ACCUMULATION OF HEAVY METALS IN THE GREEN MASS OF BETULA NANA SHRUBS UNDER CONDITIONS OF INCREASED ANTHROPOGENIC IMPACT
Authors: Plotnikov Ilya V.
Published: October 2022

The features of the distribution and accumulation of heavy metals in the green mass of Betula nana (dwarf birch) shrubs in the territories of the Yamalo-Nenets Autonomous District exposed to anthropogenic load are considered. The relative concentrations of the elements Ni, Cu, Cd, Mn, Zn, Pb in the green mass of shrubs were determined. Elements (Cd, Ni, Mn) with abnormal concentrations in the studied green mass of the conditionally background territory, relative to the clark content in land plants, were identified. The anomalous content of cadmium, zinc and manganese in the Betula nana green mass is characteristic of all the considered areas with increased anthropogenic load, and high concentrations of copper and lead were also found in the area of the unpaved highway near Yar-Sale. Pb has the highest concentration coefficient in the area of a dirt road (11.81), Cd accumulation is most characteristic for the Betula nana cenopopulations near the Obskaya-Bovanenkovo railway (2.4), the highest concentration coefficient for Zn (14.24) was found in the area of the Salekhard-Aksarka highway and GTPP-3. The nature of the distribution of heavy metals from sources is also investigated, among the studied elements, the most distant transfer is characteristic of manganese, and cadmium and copper, on the contrary, are deposited on the territory adjacent to the sources. Conclusions are drawn about the main ways of heavy metals getting into the environment in the region.
Watered down essences and elusive speech communities: two objections against Putnam’s twin earth argument
Authors: Hensel Witold M.
Published: October 2022

The paper presents two objections against Putnam’s Twin Earth argument, which was intended to secure semantic externalism. I first claim that Putnam’s reasoning rests on two assumptions and then try to show why these assumptions are contentious. The first objection is that, given what we know about science, it is unlikely that there are any natural-kind terms whose extension is codetermined by a small set of microstructures required by Putnam’s indexical account of extension determination. The second objection is that there may not be a plausible concept of a speech community whose adoption would classify Oscar and Twin Oscar as members of different speech communities and, at the same time, render Oscar and Twin Oscar as being in the same psychological state. I contend that Putnam’s argument fails because both objections are justified.
What does the sensory apparatus do when there is nothing to perceive? The salience of sensory absence
Authors: Kobos Katarzyna
Published: October 2022

This study aims to bring out the explanatory potential of embodied predictionism versus passive feed-forward model of sensory stimulation in the pursuit of a parsimonious naturalist account of sensation as a salient feature and an end point of conscious experience. Theoretical approaches towards sensory experience are tested against specific scenarios of the absence of observable or palpable qualities including but not limited to the thought-experimental phenomenon of negative synesthesia at the conclusion of the argument. . Predictionism is first explored in its own right only to be found insufficient to do justice to the actual mechanism behind full-blown immediate perception. A case is made for the soundness of predictionism reconciled with the doctrine of embodiment.
La Relación Entre la Imagen Personal y el Liderazgo
Authors: Díaz María del Rosario de Fátima Alvídrez , Ávila José René Arroyo , Viramontes-Olivas Oscar Alejandro , Ríos Víctor Alonso Domínguez , Alvídrez María Fernanda Loya
Published: October 2022

La imagen personal que un directivo proyecta, será fundamental a la hora de ejercer confianza y liderazgo. El objetivo de la investigación fue establecer la relación que existe entre la imagen personal y el liderazgo. La naturaleza de la investigación fue cualitativa de razonamiento inductivo; el diseño fue no experimental transeccional descriptivo. Los resultados demostraron que, desde la percepción de los entrevistados, los conocimientos de un líder dependen fuertemente de cómo habla y cómo piensa; en menor grado de cómo luce y cómo actúa; las actitudes de un líder están fuertemente ligadas a cómo se desempeña, en mediano grado a cómo luce y en menor grado en cómo habla y cómo piensa; las conductas de un líder están fuertemente ligadas a cómo habla; en menor grado en cómo actúa y cómo luce; y, el carisma de un líder está medianamente ligado a cómo habla, cómo luce y cómo actúa.
Revisión Teórica de los Factores que Inhiben en el Ciudadano el Uso del e-Gobierno
Authors: Cobos José Alfredo León , Ávila José René Arroyo , Díaz María del Rosario de Fátima Alvídrez , Viramontes-Olivas Oscar Alejandro , Ríos Víctor Alonso Domínguez
Published: October 2022

El objetivo de la presente investigación fue analizar la literatura relativa a los factores que inhiben el uso de los servicios electrónicos que presta una institución gubernamental mediante el método documental basado en una revisión bibliográfica de los principales autores en materia de gobierno electrónico. Los resultados destacan la importancia del conocimiento de los servicios digitales por parte de los ciudadanos, la facilidad de uso y la calidad del sistema, la influencia del perfil sociodemográfico, así como la satisfacción y confianza del usuario para utilizarlos. Los hallazgos describen cada uno de los factores y las relaciones entre sí. La relevancia se orientó a visualizar estrategias para mejorar el gobierno electrónico en el contexto mexicano.
Repercusiones del Teletrabajo en Mujeres Profesionistas Durante la Pandemia del COVID-19
Authors: Rascón Cristina Liliana Ramos , Magallanes Karinna Idalia Holguín , Serrano Miguel Ángel Arreola , Ortiz María Guadalupe Carrillo , Ávila José René Arroyo
Published: October 2022

El COVID-19 ha generado un cambio de rumbo imprevisto, escuelas, empresas e instituciones tuvieron que suspender el servicio y buscar nuevas estrategias para continuar con su trabajo, una de ellas fue el teletrabajo. La presente investigación tuvo el objetivo de identificar las repercusiones del teletrabajo para las mujeres profesionistas durante la pandemia del COVID-19; la finalidad es generar información pertinente que ayude a comprender y apoyar a las mujeres profesionistas que se encuentran viviendo esta nueva forma de trabajo. Se llevó a cabo en la ciudad de Chihuahua, Chihuahua, entre los meses de noviembre de 2020 a octubre de 2021, el modo de investigación fue de campo, con apoyo bibliográfico y se aplicó una encuesta a 302 mujeres profesionistas. Dentro de los resultados más sobresalientes se encontraron ventajas y desafíos significativos al momento de realizar las actividades laborales bajo el esquema del teletrabajo, por lo que es necesario que tanto empresas como trabajadoras establezcan estrategias adecuadas que permitan lograr el cumplimiento de los objetivos de manera eficiente.
La condition de la Femme et de L'enfant Orphelin dans la Communication Sociale à Travers L’ahossi chez les AgniMorofouè de Côte d’Ivoire: Plaidoyer pour un Mieux-être
Authors: Kouakou Benoît Kouakou Oi
Published: October 2022

Le présent article a analysé la communication sociale de chansons ahossi des Agni-Morofouè, en les appréhendant comme des plaidoyers en faveur d’un mieux-être et d’un mieux-vivre de la femme maltraitée au foyer et de l'enfant orphelin marginalisé. Au niveau théorique, l’étude a convoqué le modèle descriptif de la communication de Lasswell. Au plan méthodologique, elle s’est appuyée sur un corpus de dix chansons tirées du répertoire de six groupes ahossi. L’analyse révèle comment cette musique-danse se saisit des souffrances de la femme (en particulier celles de la première épouse dans un foyer polygamme, surtout avec l’arrivéee d’une plus jeune femme) ainsi que de la marginalisation et des douleurs de l’enfant orphelin. En décrivant et en dénonçant les effets pervers de la polygamie (très souvent à l’origine des déboires de la femme la plus ancienne) et en mettant à la lumière les malheurs de l’enfant orphelin, l’ahossi se situe dans une perspective de plaidoyer en faveur d’un humanisme. En tant que canal, elle fait entendre l’écho du message-complainte des sans-voix et des sans-voies, en vue d’influencer les idées et attitudes, et parvenir à un changement social au sujet de ces personnes fragilisées.
Les perceptions de L’influence du Genre et du Groupe Social de la Vulnérabilité de Vitellaria paradoxa et de Parkia biglobosa aux Menaces au Burkina
Authors: Coulibaly-Lingvani Pascaline
Published: October 2022

L'objectif de cette étude est d'examiner les connaissances et les perceptions des populations locales en fonction du sexe et de l'origine ethnique sur les facteurs qui constituent une menace sur les deux espèces que sont Vitellaria paradoxa et de Parkia biglobosa et d’en déterminer leurs causes. Les données ont été collectées à travers des entretiens de groupe (focus group discussion) et cela en tenant compte du genre et des groupes ethniques présents dans chaque localité. Au total 15 types de menaces regroupés en 3 facteurs : écologique, climatique et anthropique ont été identifiés à Bana Bobo, Bana Lamogoya et Yarci par genre et par les différents groupes ethniques. Les femmes ont le plus cité deux (2) des trois (3) principaux facteurs de menaces que sont : les plantes parasites et les attaques parasitaires (insectes et vers). Les Peulh sont ceux qui ont le plus cité les 3 principaux facteurs de menaces identifiés. Dans l’ensemble des sites, Vitellaria paradoxa se révèle être l’espèce la plus vulnérable aux menaces comparativement à Parkia biglobosa. L’action de l’homme constitue la cause des menaces anthropiques. Les conséquences qui résultent de l’ensemble des menaces sont surtout la faible productivité et dans le pire des cas, la mortalité des espèces.
K4D Strengthens Partners’ Ability to Deliver Improved Results for Inclusion in Crises
Authors: Freed Danielle
Published: October 2022

Achieving Sustainable Development Goals requires the inclusion of the most vulnerable people affected by intersecting inequalities. Inclusion is an approach and objective that serves to counter structural discrimination and enable affected people and communities to withstand the causes and impacts of crises. Recognising the need to address this issue, the UK government has sought to implement a range of commitments relating to inclusion in its programme and policy responses to crises. The K4D Inclusion in Crises Learning Journey has played a key role in supporting reflection on the opportunities and challenges for operationalising these commitments and equipping participants with the tools needed to make sure programmes can deliver high impact results, improving the lives and wellbeing of people who are marginalised and crisis-affected.
K4D Supporting the Prosperity Fund for Transformative COVID-19 Recovery
Authors: Freed Danielle
Published: October 2022

The global COVID-19 pandemic endangers progress made on more inclusive and sustainable growth patterns and risks slowing down international trade. Growth patterns are highly uncertain and require context-specific social analysis alongside local stakeholder consultation as a means to understand the changing impacts on poverty and exclusion dynamics. In recognition of this need, The K4D Prosperity Fund COVID-19 Evidence and Learning Initiative supported cross-government learning on the impact of the pandemic within upper-middle income countries (UMIC) and lower-middle income countries (LMIC) while also providing key evidence supporting a transformative strategic focus, aimed at linking short-term adaptations with long-term ambitions, setting the stage to push beyond recovery and the Prosperity Fund’s Build Back Better.
K4D’s Tax and Gender Learning Journey Boosting Social Reform in Pakistan
Authors: Freed Danielle
Published: October 2022

As a means to reduce discrimination and promote the economic empowerment of women, there is a growing understanding that tax policy, tax administration and tax research need to be gender transformative. Recognising this need, the Foreign, Commonwealth and Development Office (FCDO) is reshaping and building its approach to tax and gender programming. K4D’s Tax and Gender Learning Journey brought together tax and gender teams to identify other tax and gender stakeholders and collaboratively craft a future approach to tax and gender for FCDO and partners. Initial exploration of the early impact from activities that have taken place amongst partner organisations in Pakistan suggests K4D’s inputs have the potential to bolster intended social reforms across the country’s revenue and other government departments.
K4D Learning Journey Strengthens the Mainstreaming of Water Security
Authors: Freed Danielle
Published: October 2022

This K4D Impact Story shares how a K4D’s Water Security Learning Journey supported an extensive set of activities and products to engage stakeholders and increase awareness of water security and its cross-cutting nature. Evidence indicates that the learning journey has provided a valuable vehicle for participants to deepen knowledge on the topic, share experiences, build networks, and develop their ability to integrate water security into policy and programming. This case study was made possible through the contribution of the K4D Programme team, staff at the Foreign, Commonwealth and Development Office, and others who engaged with the resources and K4D Programme.
Trabalho informal, gênero e família
Authors: Rodrigues Emanuelle Gonçalves Brandão
Published: October 2022

Buscando explorar o potencial metodológico de uma abordagem hermenêutica para os estudos de comunicação no contexto do trabalho informal, a proposta deste artigo consiste em analisar os relatos de si de trabalhadoras de venda direta no ramo de cosméticos como forma de compreender a produção de sentidos em torno das relações trabalhistas com as organizações do setor. Contextualizado na pandemia da Covid-19 (SARS-CoV-2), esse estudo parte da proposição de Raúl Díaz, baseada na hermenêutica de Paul Ricoeur, cujo objetivo é desenvolver uma análise comparada de categorias identificadas em diferentes interlocutores. Trata-se de uma reflexão crítica acerca dos sentidos de trabalho produzidos pelas organizações em sua comunicação, mas tomando como objeto de análise sua força de trabalho: as revendedoras de cosméticos. Os resultados apontam para a existência de significativas contradições nos discursos de empresas de venda direta, que promovem um ideal de autonomia empreendedora que não se efetiva na prática. Essas tensões se estendem aos relatos das trabalhadoras, cujos discursos são perturbados por racionalidades políticas, econômicas e culturais específicas.