bluuebunny/crossref_metadata_2025 huggingface dataset:
Vibration Test and Analysis of Crawler Pepper Harvester under Multiple Working Conditions
Authors: Wang Xinzhong , Cao Yuhao , Fang Weiquan , Sheng Haoran
Published: May 2023

Nowadays, many scholars at home and abroad have studied the vibration of agricultural machinery, especially harvesting machinery. However, this research has lacked the analysis of vibration characteristics of harvesters under the condition of multi-vibration excitation in field work. Therefore, by taking the chassis frame and main vibration sources of a 4JZ-1700 crawler pepper harvester as the research object, this paper aims to investigate the vibration characteristics of the pepper harvester under different working conditions, and the impact of the excitation of various working parts on the chassis frame. Firstly, a modal simulation was carried out with the modal module of ANSYS Workbench to study the natural frequency of the chassis frame. The results demonstrated that the natural frequency of the chassis frame was within 23–76 Hz. A DH5902 dynamic signal acquisition instrument was used to collect vibration signals from seven measuring points under different working conditions of the whole machine, and the collected time domain signals were extracted by Fourier transform. According to the time domain signal, the amplitude at the engine support was the largest under the static no-load condition, and the transmission of engine vibration was attenuated to a certain extent, which imposes a significant effect on the vibration isolation and vibration reduction of the harvester frame. Under the field walking condition, the amplitudes of the left front of the chassis frame and the driving shaft of the cleaning separation device were abnormal, which was mainly attributed to the unequal road surface and the high center of gravity of the cleaning separation device. Through frequency domain analysis, it can be found that the main vibration frequency of most measuring points of the harvester was close to the vibration frequency of the engine under the static no-load condition, and the excitation frequency of most measuring points approximated to the working frequency of the picking drum and the cleaning separation device under the field walking condition. In addition, there were plenty of phenomena in which the main frequency of vibration was detected in the high frequency region above 200 Hz, with messy frequency values. This is due to the poor lubrication of the bearing part of the harvester, causing intense friction between the rotating shaft and the bearing, which also drives the high frequency vibration of the chassis frame. In general, this study can provide a method reference for vibration analysis of agricultural machinery and propose effective measures to reduce vibration based on the conclusions.
Evaluating Organizational Guidelines for Enhancing Psychological Well-Being, Safety, and Performance in Technology Integration
Authors: Fraboni Federico , Brendel Hannah , Pietrantoni Luca
Published: May 2023

Organizations that integrate new technologies, such as collaborative robots, often struggle to maintain workers’ psychological well-being during transitions. Integrating new technologies can, in fact, negatively impact job satisfaction, motivation, and organizational culture. It is thus essential to prioritize workers’ psychological sustainability to benefit fully from these technologies’ advantages, such as reduced production times and increased flexibility. This study evaluates the impact of eight guidelines designed to support organizations in optimizing human–robot collaboration. The guidelines focus on safety, training, communication, worker agency, and stakeholder involvement. We investigated possible implementation solutions and assessment methods or KPIs for each guideline. We conducted an online survey targeting experts in robotics to gather opinions on the guidelines’ potential impact on workers’ psychological well-being, safety, and performance. The survey also asked about implementation solutions and KPIs for evaluating their effectiveness. Proposed solutions, such as demonstration videos and hands-on training, have the potential to enhance users’ perceived safety and confidence in the system. KPIs, such as subjective perceived safety, risk assessment, and user satisfaction, can be employed to assess the success of these implementations. The study highlights key strategies for ensuring workers’ psychological well-being, optimizing performance, and promoting a smooth integration of robotic technologies. By addressing these factors, organizations can better navigate technology integration challenges, fostering a more sustainable and human-centric approach to deploying robotic systems in the workplace.
Climate Distress: A Review of Current Psychological Research and Practice
Authors: Koder Jordan , Dunk James , Rhodes Paul
Published: May 2023

Environmental disasters will increase in frequency and severity due to disruptions to Earth systems, including increased global mean temperatures, caused by human activity, and consequently our health care system will be burdened by ever-increasing rates of illness, mental and physical. Psychologists will need to respond to this pressure by ensuring they have the training, education and interventions to respond to climate-related distress, as well as realising the limits of the therapeutic approach. Climate psychology, a recent field of study integrating and advancing core expertise around climate distress, has become more prominent with the increasing urgency of climate change and emerging documentation of its impacts on mental health and wellbeing. The purpose of this scoping review is to survey the research being undertaken on climate distress, and to identify gaps in the existing literature with a view to shaping practice and informing future research. Younger people, notably, are experiencing climate distress disproportionately and will bear a larger share of the mental health burden caused by climate change, and yet their voices are underrepresented in theoretical and practical interventions. Enlisting young people as research collaborators and co-designers will facilitate more effective responses to the psychological aspects of the climate crisis.
Process–Based Identification of Key Tidal Creeks Influenced by Reclamation Activities
Authors: Man Ying , Zhou Fangwen , Cui Baoshan
Published: May 2023

Reclamation activities constitute a major factor threatening tidal creeks, which play an important role in the health of the ecosystem of deltas. Research on the influence of reclamation activities on the connectivity of tidal creeks is often based on changes in their morphology and ignores the process that shapes this morphology. Instead, the authors of this study focus on the influence of reclamation activities on hydrological connectivity inside the tidal creek from a process-based perspective. Changes in the hydrological distances that reflect the relative movement of sites in each tidal creek are identified and related to the resistance surface (a spatial layer that assigns values to features of the landscape, indicating the degree to which these features impede or promote movement) of the reclamation activities. We also objectively quantify the influence of different reclamation activities on the connectivity of the tidal creek. We used the proposed method to identify changes in key tidal creeks in the Yellow River Delta under the influence of reclamation activities. The results revealed the potential influence of reclamation activities (before changes appeared in the morphology of the tidal creek) from 1990 to 1995. The use of resistance surfaces thus provides a comprehensive understanding of the interactions between reclamation activities and the connectivity of tidal creeks.
Thermal Mapping and Heat Transfer Analysis of an Induction Motor of an Electric Vehicle Using Nanofluids as a Cooling Medium
Authors: Pandey Gaurav Kumar , Sikha Siddharth Sriram , Thakur Abhineet , Yarlagadda Sai Sravan , Thatikonda Sai Santosh , Baiju suja Bibin , Mystkowski Arkadiusz , Dragašius Egidijus , Gundabattini Edison
Published: May 2023

The driving motor is one of the most crucial components of an electric vehicle (EV). The most commonly used type of motor in EVs is the induction motor. These motors generate heat during operation due to the flow of electrical current through the motor’s coils, as well as friction and other factors. For long-run and high efficiency of the motor, cooling becomes more important. This article utilized ANSYS Motor-CAD to map the temperature signature of an induction motor and investigated the thermal efficiency of using nanofluids as a cooling medium. The thermal conductivity of nanofluids has been found to be superior to that of more conventional cooling fluids such as air and water. This research explores the effect of using Al2O3, ZnO, and CuO concentrations in nanofluids (water as a base fluid) on the thermal efficacy and performance of motor. According to the findings, using nanofluids may considerably increase the efficiency of the motor, thereby lowering temperature rise and boosting system effectiveness. Based on the simulation analysis using ANSYS Motor-CAD, the results demonstrate that the utilization of CuO nanofluid as a cooling medium in the induction motor led to a reduction of 10% in the temperature of the motor housing. The maximum reduction in the temperature was found up to 10% when nanofluids were used, which confirms CuO as an excellent option of nanofluids for use as motor cooling and other applications where effective heat transmission is crucial.
Education System in Bangladesh Amid COVID-19: Traditional Scenario, Emergency Protocols, Challenges and a Proposed Sustainable Conceptual Framework
Authors: Arefin A. S. M. Shamsul , Chowdhury Sabbir Ahmed , Roy Ruth Christina , Rahaman Md. Mizanur , Cross Beth
Published: May 2023

This study demonstrates how significantly the COVID-19 pandemic has affected Bangladesh’s formal education system. Despite the fact that Bangladesh introduced Information and Communication Technology (ICT) in educational practices before the pandemic, effective ICT deployment could not be integrated at all levels. Even though online classes and other print- and electronic media-based approaches evolved into the “new normal” in an effort to address the difficulties brought on by the pandemic, both teachers and students have faced and continue to encounter many challenges. A convergent parallel mixed method design was followed for this study. Data were collected from 205 Bangladeshi students and 50 Bangladeshi teachers through semi-structured questionnaires. In addition, 11 parent interviews and 12 Key Informant Interviews were conducted. According to the findings, the lack of proper training for teachers, poor socio-economic conditions, lack of internet availability and speed, the shortage of ICT equipment, students not being technologically exposed, and the disruption of electricity are major issues hindering the fruitful implementation of online education. Creating an ICT framework, providing subsidised internet for students and instructors for instructive purposes, promoting alternative means to carry on formal education, dedicating instruction hours in TV and radio channels, ensuring proper IT infrastructure and tools, and taking initiatives to promote the learning management system can play a significant role in creating the ideal environment to promote online education. In summary, this study suggests a holistic framework to continue formal teaching-learning in different levels of education to achieve sustainable development goals (SDG) without any disruption in emergency contexts such as the COVID-19 pandemic.
Human Factors Analysis by Classifying Chemical Accidents into Operations
Authors: Yalcin Esra , Ciftcioglu Gokcen Alev , Guzel Burcin Hulya
Published: May 2023

In the chemical industry, organizational and operational human factors significantly contribute to accidents. Chemical accidents occur in various operations of the industry due to a range of factors. Understanding the relationship between these factors and the accidents that happen is crucial in preventing similar accidents from happening repeatedly and promoting sustainability. Therefore, this study was divided into five operations: maintenance repair, process, loading unloading, storage, and shutdown startup of the chemical industry, to provide a more concrete, intuitive explanation of the interplay between causes and illustrate the routes to failure. The data were collected from 251 accident reports from various online data. The study was analyzed using the Human Factors Analysis and Classification System (HFACS) method as a conceptual framework. Each level’s frequency variables were obtained to define nominal and ordinal data. The chi-square test and Fisher’s exact test were used in the difference analysis of data in the model. The results show that the high-frequency accidents caused under the HFACS framework were organizational processes in the process (63.73%), in the storage (70.58%), and in the shutdown startup (91.66%), and skill-based errors in the maintenance repair (81.81%) and in the loading unloading (66.03%). Furthermore, resource management, technological environment, and personal readiness were significantly correlated with the operations. Human factors have differences in different operations in the chemical industry.
Path Planning Algorithm for a Wheel-Legged Robot Based on the Theta* and Timed Elastic Band Algorithms
Authors: Sun Junkai , Sun Zezhou , Wei Pengfei , Liu Bin , Wang Yaobing , Zhang Tianyi , Yan Chuliang
Published: May 2023

Aimed at the difficulty of path planning resulting from the variable configuration of the wheel-legged robot for future deep space explorations, this paper proposes a path planning algorithm based on the Theta* algorithm and Timed Elastic Band (TEB) algorithm. Firstly, the structure of the wheel-legged robot is briefly introduced, and the workspace of a single leg is analyzed. Secondly, a method to judge complete obstacles and incomplete obstacles according to the height of the obstacles is proposed alongside a method to search for virtual obstacles, to generate a grid map of the wheel and a grid map of the body, respectively. By dividing obstacles into complete obstacles and incomplete obstacles, the path planning of the wheel-legged robot is split into the planning of the body path and the planning of the wheel path. The body can be still simplified as a point by searching for the virtual obstacle, which avoids the difficulty of a planning path of a variable shape. Then, we proposed hierarchical planning and multiple optimization algorithms for the body path and wheel path based on the Theta* algorithm and TEB algorithm. The path can be optimized and smoothed effectively to obtain a shorter length and higher safety. On that basis, the proposed algorithm is simulated by Matlab. The results of simulations show that the algorithm proposed in this paper can effectively plan the path of the wheel-legged robot by using variable configurations for different types of obstacles. The path-planning algorithm of the wheel-legged robot proposed in this paper has a broad prospect for deep space exploration.
Exploration of Quantum Milne–Mercer-Type Inequalities with Applications
Authors: Bin-Mohsin Bandar , Javed Muhammad Zakria , Awan Muhammad Uzair , Khan Awais Gul , Cesarano Clemente , Noor Muhammad Aslam
Published: May 2023

Quantum calculus provides a significant generalization of classical concepts and overcomes the limitations of classical calculus in tackling non-differentiable functions. Implementing the q-concepts to obtain fresh variants of classical outcomes is a very intriguing aspect of research in mathematical analysis. The objective of this article is to establish novel Milne-type integral inequalities through the utilization of the Mercer inequality for q-differentiable convex mappings. In order to accomplish this task, we begin by demonstrating a new quantum identity of the Milne type linked to left and right q derivatives. This serves as a supporting result for our primary findings. Our approach involves using the q-equality, well-known inequalities, and convex mappings to obtain new error bounds of the Milne–Mercer type. We also provide some special cases, numerical examples, and graphical analysis to evaluate the efficacy of our results. To the best of our knowledge, this is the first article to focus on quantum Milne–Mercer-type inequalities and we hope that our methods and findings inspire readers to conduct further investigation into this problem.
A Low-Cost Approach for Batch Separation, Identification and Quantification of Microplastics in Agriculture Soil
Authors: Zhang Shan , Li Wenfeng , Bao Anming , Jia Gongxu , Lin Xiaoli , Zhang Qingling
Published: May 2023

An increasing trend of research on microplastics (MPs) pollution in soil requires plenty of accurate data on MPs occurrence in soil samples. Efficient and economical methods of obtaining MP data are in development, especially for film MPs. We focused on MPs originating from agricultural mulching films (AMF) and presented an approach that can separate MPs in batches and identify them quickly. It mainly includes separation by ultrasonic cleaning and centrifugation, digestion of organic matter, and an AMF-MPs identification model. Adding olive oil or n-hexane to saturated sodium chloride constituted the best combination of separation solutions. Controlled experiments proved that the optimized methods improved the efficiency of this approach. The AMF-MPs identification model provides specific characteristics of MPs and can identify MPs efficiently. Evaluation results showed that the mean MP recovery rate reached 95%. The practical application demonstrated that this approach could conduct MPs analysis in soil samples in batches with less time and low cost.
Genes Involved in miRNA Biogenesis Are Not Downregulated in SARS-CoV-2 Infection
Authors: Garnier Nathalie , Sane Famara , Massara Layal , Soncin Fabrice , Gosset Philippe , Hober Didier , Szunerits Sabine , Engelmann Ilka
Published: May 2023

miRNAs, small non-coding RNAs that regulate gene expression, are involved in various pathological processes, including viral infections. Virus infections may interfere with the miRNA pathway through the inhibition of genes involved in miRNA biogenesis. A reduction in the number and the levels of miRNAs expressed in nasopharyngeal swabs of patients with severe COVID-19 was lately observed by us, pointing towards the potential of miRNAs as possible diagnostic or prognostic biomarkers for predicting outcomes among patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. The objective of the present study was to investigate whether SARS-CoV-2 infection influences the expression levels of messenger RNAs (mRNAs) of key genes involved in miRNA biogenesis. mRNA levels of AGO2, DICER1, DGCR8, DROSHA, and Exportin-5 (XPO5) were measured by quantitative reverse-transcription polymerase chain reaction (RT-qPCR) in nasopharyngeal swab specimens from patients with COVID-19 and controls, as well as in cells infected with SARS-CoV-2 in vitro. Our data showed that the mRNA expression levels of AGO2, DICER1, DGCR8, DROSHA, and XPO5 were not significantly different in patients with severe COVID-19 when compared to patients with non-severe COVID-19 and controls. Similarly, the mRNA expression of these genes was not affected by SARS-CoV-2 infection in NHBE and Calu-3 cells. However, in Vero E6 cells, AGO2, DICER1, DGCR8, and XPO5 mRNA levels were slightly upregulated 24 h after infection with SARS-CoV-2. In conclusion, we did not find evidence for downregulation of mRNA levels of miRNA biogenesis genes during SARS-CoV-2 infection, neither ex vivo nor in vitro.
IgG4 Antibodies Induced by Repeated Vaccination May Generate Immune Tolerance to the SARS-CoV-2 Spike Protein
Authors: Uversky Vladimir , Redwan Elrashdy , Makis William , Rubio-Casillas Alberto
Published: May 2023

Less than a year after the global emergence of the coronavirus SARS-CoV-2, a novel vaccine platform based on mRNA technology was introduced to the market. Globally, around 13.38 billion COVID-19 vaccine doses of diverse platforms have been administered. To date, 72.3% of the total population has been injected at least once with a COVID-19 vaccine. As the immunity provided by these vaccines rapidly wanes, their ability to prevent hospitalization and severe disease in individuals with comorbidities has recently been questioned, and increasing evidence has shown that, as with many other vaccines, they do not produce sterilizing immunity, allowing people to suffer frequent re-infections. Additionally, recent investigations have found abnormally high levels of IgG4 in people who were administered two or more injections of the mRNA vaccines. HIV, Malaria, and Pertussis vaccines have also been reported to induce higher-than-normal IgG4 synthesis. Overall, there are three critical factors determining the class switch to IgG4 antibodies: excessive antigen concentration, repeated vaccination, and the type of vaccine used. It has been suggested that an increase in IgG4 levels could have a protecting role by preventing immune over-activation, similar to that occurring during successful allergen-specific immunotherapy by inhibiting IgE-induced effects. However, emerging evidence suggests that the reported increase in IgG4 levels detected after repeated vaccination with the mRNA vaccines may not be a protective mechanism; rather, it constitutes an immune tolerance mechanism to the spike protein that could promote unopposed SARS-CoV2 infection and replication by suppressing natural antiviral responses. Increased IgG4 synthesis due to repeated mRNA vaccination with high antigen concentrations may also cause autoimmune diseases, and promote cancer growth and autoimmune myocarditis in susceptible individuals.
Pumping Induced Hydraulic Gradient Driven Tracer Migration through Defects: Implications for Rapid Detection of Leakage in Vertical Flexible Barrier
Authors: Li Xingrong , Chen Zengsiche , Xu Ya , Liu Yuqiang , Zhao Manying , Qiu Panpan , Dong Lu
Published: May 2023

Vertical flexible barriers (VFBs) are widely used for contaminant source separation and risk control. Inherent or externally caused damage to a VFB can affect its effectiveness in pollution containment and control, but its effective detection is a major challenge due to its concealed nature. This paper presents a combined pumping and tracer approach to detect defects in VFBs. A high-performance model is used to model the detection process revealing the migration and distribution behavior of the tracer in the triple media system of wellbore–aquifer–VFB to better understand the effectiveness of the method and its performance indicators, including response time, detectable depth, and defect size, and to optimize its application. Simulation results show that the tracer quickly moves through the defect to the monitoring well, and temporal tracer concentration reveals details of the breach in the wall. Sensitivity analysis reveals influential factors, including defect size, depth, and tracer concentration. Results indicate that the size and depth of defects will affect the penetration and response time. Breakthrough is less clear, and response time is longer if defects are small and deep. However, a higher tracer injection concentration can shorten the response time and increase tracer concentration in the monitoring well. Therefore, it is necessary to design the tracer dosing concentration according to the site conditions. For the Yancheng site, tracer concentration was increased from 1000 ppb to 2660 ppb to ensure the detection of leakage points at 4 m or deeper.
Bamboo-Activated Carbon Synthesized by One-Pot Pyrolysis and FeCl2 Activation for the Removal of Cr(VI) in Aqueous Solutions
Authors: Zhong Meijuan , Liu Xinge , Ma Jianfeng , Shang Lili
Published: May 2023

The present study utilized a FeCl2-based environmentally sustainable activation technique to produce activated carbon from bamboo. The research aimed to evaluate the influence of activation temperature on the physical and chemical characteristics of the activated carbon and its ability to adsorb Cr(VI). The results of the experiment indicated that the yield of activated carbon prepared by this method was in the range of 25.5–37.5%, which was comparatively higher than the yield obtained through traditional KOH and steam activation techniques. Moreover, this method resulted in a well-developed pore structure with pore sizes primarily ranging from 0.5 nm to 1.0 nm. A gradual increase in the specific surface area and pore volume was observed with an increase in the activation temperature. The maximum values of 1290.9 m2/g and 0.67 m3/g for specific surface area and pore volume, respectively, were achieved at an activation temperature of 900 °C. The adsorption capacity of Cr(VI) was subject to variation in correspondence with alterations in the pore structure of activated carbon. The maximum adsorption capacity recorded was 13.65 mg/g. This suggested that the adsorption capability was predominantly influenced by the pore configuration. The study of kinetics and isothermal adsorption indicates that the quasi-second-order kinetic model was a more effective approach for characterizing the adsorption process of Cr(VI) on activated carbon. Additionally, the Freundlich model demonstrated superior fitting performance compared to the Langmuir model.
On the right to information as an element of personal information security
Authors:   Kursk State Agricultural Academy named after I. I. Ivanov, Kursk, Russia, Krivoukhov Anatoly Anatolyevich
Published: May 2023

No sphere of life in modern society can function without a developed information structure. The national information resource is today one of the main sources of economic and military power of the state. Penetrating into all spheres of state activity, information acquires specific political, material and cost expressions. Today, anything carries some kind of information. Even elementary household appliances can be presented as a carrier of information — information about the principles of its design and operation. Modern Russia is at the stage of transition to a post-industrial economy and an information society. The success of this transition directly depends on the normal circulation of information and the optimization of social management. In the light of the social nature of society and a person, information freely circulating in society creates the prerequisites for creating a more developed society, at the expense of a more intellectually developed person. In this regard, it is advisable to talk about the need to organize the optimal provision of a citizen with a wide variety of information, meet the information needs of the individual and achieve the information openness of society. Legal access relations are one-sided, i.e. The rights of the consumer to receive information correspond to the obligations of the supplier to provide it. Enough questions arise in determining the characteristics that information must have in order to be considered usable. In modern Russian legislation, among others, the terms «completeness», «reliability», «objectivity», «distortion» appear, but the content of these categories has not been established. In this regard, it is advisable to talk about the need to organize the optimal provision of a citizen with a wide variety of information, meet the information needs of the individual and achieve the information openness of society.
Mobilization readiness of the state: issues of theory and practice
Authors:   Northwest Institute of Management of the Russian Academy of National Economy and Public Administration under the President of the Russian Federation, Russia, St. Petersburg, Shnyptev Mikhail Mikhailovich
Published: May 2023

The mobilization readiness of the state and the effective and sufficient measures preceding it for planning mobilization training at all levels of government, in the sectoral context of the Russian economy, Russian society and an individual citizen in modern foreign policy conditions, conditions of foreign economic sanctions pressure on the Russian Federation from many, primarily Western European countries and the United States and the conduct of a special military operation in Ukraine are becoming the most important a factor of national security. The modern geopolitical process is also characterized by the increasingly aggressive policy of the NATO military bloc, which is rapidly moving towards the borders of the Russian Federation, which raises the urgency of the problems of vulnerability and the real creation of an unstable situation on Russia’s western borders. Georgia has also recently been characterized by an unstable political situation, the goal of which has already been announced by many military experts and political scientists in the media to create a second front against the Russian Federation. Acts of international terrorism, sabotage, attempts to destabilize the situation in Crimea, incessant killings of civilians in the DPR and LPR, regular shelling of Russian border territories — Belgorod, Kursk and Bryansk regions — continue.In such conditions, not only strategic planning of mobilization measures becomes relevant, but also mobilization as an operational process.
Digitalization and cybersecurity in the context of national security of the Russian Federation: challenges and solutions
Authors:   Department of Foreign History, Political Science and International Relations, FSAEI HE North-Caucasus Federal University, Stavropol, Stavropol Region, Russia, Kirnichuk Aleksey Vyacheslavovich
Published: May 2023

This paper examines the current state of digitalization and cybersecurity of the Russian Federation in the context of ensuring national security of the state, as well as the impact of these factors on the social sphere. The relevance of the study is due to the increasing number of information threats to modern society. Thus, the number of attacks on Russian cyberspace, which has become another space for the socio-economic processes of the state, increased significantly in 2022, and unfriendly countries openly declare a cyber war waged against Russia. In this regard, the purpose of the work was to study the current state of digitalization and cybersecurity in the Russian Federation using the SWOT analysis method, as well as to develop practical recommendations based on the data obtained. Russia has all the prerequisites for further digitalization and transition to «Industry 4.0», although there are still a number of obstacles to the final completion of the «Revolution 4.0». However, to complete this process, it is necessary to overcome obstacles in the form of imperfections of the regulatory framework, uneven process of regional digitalization, dependence on foreign technologies, and personnel shortages. For the further development of this sphere, it is necessary to systematize national legislation and create a unified information security code that would contain a specific definition of the boundaries of «information security» and «cybersecurity». Therefore, it is also necessary to update the concept of information security and adopt the concept of cybersecurity. Modern geopolitical conditions are both a threat and a window of opportunity. The political leadership should provide the maximum possible support to the domestic IT sector in order to stop the outflow of personnel and finally eliminate dependence on information technology. With the right approach, the Russian Federation will be able to become a world leader in the field of cybersecurity and use this area to develop cooperation with states from around the globe.
A Deixis Analysis of Song Lyrics in Jeremy Zucker's “You Were Good to Me” and “Comethru”
Authors: Rokhmah Desy Eva Laila , Santoso Dwi Eva Patriciawati Mantiri
Published: May 2023

This research aims to identify the dominating deixis among the many types of deixis in Jeremy Zucker's songs "You Were Good to Me" and "Comethru." Deixis is derived from the classical Greek phrase "to exhibit, to point out." Deixis is the study of interpreting the relationship of a situation with words, phrases, and elements expressed in a sentence. This study used a qualitative descriptive approach. According to the research, 58 words in the song "You Were Good to Me" feature various types of deixis, and 54 words in the song "Comethru." Person deixis points to objects, all pronouns, and possessives. Spatial deixis is used to indicate a location, whereas Temporal deixis is used to indicate a time.
Informative Function in the Contents of Preachers’ Sermons in Jayapura Churches
Authors: Kabanga' Lewi , Wenda Daniel , Labobar Maryo Welly
Published: May 2023

Informative function has function to represents one’s understanding of fact and knowledge, to communicate information, and to deliver message. In sermons’ preachers in GKI churches of Jayapura give view that language in theological context can be elaborated with local education/wisdom in Sentani.  This study tries to figure out micro function of informative function used by the preacher in educating their congregation. The method used in this study was descriptive qualitative with the technique of recording. The data was transcribed and then reduced. The reduction data then was indexed into table as data displayed. The analysis of data was done based on the elements and features of language used in informative function. The results show that the micro functions of informative function used by the preachers are to give advice, to lecture, to announce, and to give opinion. These micro functions are framed in true values, facts, and historical traces. Further action is also facilitated by the level of acceptance or understanding among the congregations. The acceptance is proved by four elements such as language use, context, point of discussion, and attitude. Fortunately these four elements show the positive respond by the congregations.
Teacher’s Perceives on the Implementation of Genre-Based Approach in Teaching Writing
Authors: Cholifah Anjar Nur , Pustika Reza , Winanta Ardesia
Published: May 2023

The present study was focused on the teacher’s perceives on the implementation of genre-based approach (GBA) in teaching writing in one of senior high schools in Surakarta, Central Java, Indonesia. The objectives of this study are to explain; 1) The teacher’s perceptions on the practice of the genre-based approach in teaching writing, 2) the matters faced by English teacher, 3) the solutions regarding the problems faced by the teacher. This research was qualitative. The data were collected by implementing questionnaire and interview. The sample of this study was one teacher in Surakarta by using purposive sampling technique. Writers used a model of triangulation process consisting of data reduction, data display, and conclusion to collect and analyze the data. The results showed that; 1) the teacher had positive perception using GBA in teaching writing, 2) there were problems faced by the teacher such as the ease of internet access so that the students could not show their own ideas, and 3) the teachers’ suggestion was that the teacher should be up to date with the newest topic and give motivation to the students to express their own ideas.
An Interpretable Deep Learning ENSO Forecasting Model
Authors: Wang Haoyu , Hu Shineng , Li Xiaofeng
Published: May 2023

The El Niño-Southern Oscillation (ENSO) dominates Earth’s year-to-year climate variability and can often cause severe environmental and socioeconomic impacts globally. However, despite continuous ENSO theory and modeling advances, the global heat signature variations preceding ENSO events have not been fully understood, especially for long-lead ENSO forecasts more than 12 months in advance. Here, we develop an interpretable, deep learning (DL)-based ENSO forecast model that uses artificial intelligence to discover the long-term spatial and temporal processes of heat signatures associated with ENSO in the global ocean. More specifically, our results highlight the critical roles of ocean interbasin interactions and tropic–extratropic interactions in ENSO forecasts and are confirmed by our sensitivity forecasting experiments. The model has good forecast performance, with an effective ENSO forecast length of 22 months on the test set (1982 to 2020) and minimal influence from the spring predictability barrier (SPB). Moreover, our experimentally validated model performance does not degrade much even with using sea surface temperature (SST) alone, which has direct implications for operational forecasts since globally complete ocean subsurface measurements are not always available.
Applying Novel Techniques from Physical and Biological Sciences to Life Detection
Authors: Jia Tony Z. , Giri Chaitanya , Aldaba Andrea , Bahcivan Ilknur , Chandrasiri Nipun , Elavarasan Ilankuzhali , Gupta Kashish , Khandare Sakshi P. , Liaconis Christos , Saha Arpita , Solórzano Orlando J. , Tiranti Paola Ines , Vilutis Aivaras , Lau Graham E.
Published: May 2023

One of the primary goals of the space exploration community is to unambiguously detect past or present life outside of Earth. As such, a number of so-called life detection technologies, instruments, and approaches have been applied as part of past, current, and future space missions. As astrobiology is a truly interdisciplinary field within the realm of space exploration with major contributions from physical and biological sciences (among others), recently there has been development of a number of relevant techniques from scientific fields that have yet to be fully applied to extraterrestrial life detection. As a culmination of the 2021 Blue Marble Space Institute of Science (BMSIS) Young Scientist Program (YSP), we present a number of techniques drawn from various fields (including, but not limited to, chemistry, materials science, biology, nanotechnology, medical science, astrophysics, and more) that either have been or have the potential to be applied to life detection research. These techniques broadly fall under three categories: instrumentation for in situ measurements of biosignatures within the solar system, calculations or observational techniques for remote measurements of exoplanet biosignatures, and technosignatures. We hope that this primer serves to inspire the field to consider applying more potential technologies from adjacent fields into any of these three categories of life detection.
Adopting WhatsApp to Reduce Transactional Distance During the COVID-19 Pandemic
Authors: Tunjera Nyarai
Published: May 2023

Mobile devices have penetrated all levels of society worldwide, including what are predominantly considered inaccessible, low-income communities in developing nations. Mobile devices are frequently used for economic, political, and social interactions and even business transactions. In a similar fashion, teachers are slowly adapting to the use of mobile devices as a pedagogical tool in education. The aim of this study was to ascertain how a WhatsApp group, a messaging facility, could be used to enhance group interaction among pre-service teachers during the COVID-19 pandemic. Moore’s Transactional Distance theory and Salmon’s five-stage model guided this qualitative study. Twelve pre-service teachers, out of a class of thirty-five, were purposely selected to work on a group task using the WhatsApp application during the COVID-19 pandemic. They also participated in a focus group interview. WhatsApp artifacts and focus group interview transcripts were analyzed deductively; the results showed that the WhatsApp intervention helped improve pre-service teachers’ engagement and the sharing of content to successfully undertake the group activity virtually. WhatsApp’s social nature has proven to be an enabler for keeping people connected despite physical distance: reducing cognitive loneliness resulting from social isolation. It is recommended that teacher educators, academics, and researchers, as well as students working remotely take advantage of the usability of WhatsApp for learning and research purposes.
40Ar/39Ar Geochronology Results From the Haycock Mountain, Little Creek Peak, and Panguitch Lake Quadrangles, Utah
Authors:   Nevada Isotope Geochronology Laboratory, Filkorn Harry F.
Published: May 2023

This open-file report makes available raw analytical data from laboratory procedures completed to determine the age of rock samples collected during geologic investigations in southwestern Utah by Harry Filkorn (Pierce College, California) in 20182019. Table 1 provides sample identifications, locations, and notes for the age data. The references listed near the end of the document generally provide additional information such as sample location, geologic setting, and significance or interpretation of the samples in the context of the area where they were collected. This report was prepared by NIGL under contract to Filkorn. These data are highly technical in nature and proper interpretation requires considerable training in the applicable geochronologic techniques.
The Relationship of Knowledge and Attitudes of Traders with Traditional Market Sanitation Hygiene
Authors: Fera Dian , Nabela Danvil , Muchsin Sri Wahyuni , Kiswanto Kiswanto , Iskandar Wardah , Fahlevi Muhammad Iqbal
Published: May 2023

Hygiene sanitation of the traditional market environment with conditions of ignorance of market traders must be clean from garbage, dirt in trading facilities and around the market and do not use personal protective equipment, various public health problems can occur if traders do not know and are not aware to maintain the cleanliness of market environment sanitation. The purpose of this study was to determine the relationship between knowledge and attitudes of traders with hygiene, sanitation, environment, traditional markets in Kota Fajar Village, North Kluert District, South Aceh Regency. Type of quantitative research with Cross Sectional design. The study was conducted on June 5-18, 2022 with a sample of 74 traders using a simple Random Sampling technique Data collection using questionnaires. Data analysis using univariate and bivariate analysis with chi-square test. The level of knowledge of market traders in maintaining the sanitary hygiene of the market environment was partly obtained by the results that 11 respondents 64.7% had poor knowledge with poor sanitary hygiene. Negative attitudes of 13 respondents 17.6% with poor sanitary hygiene . Based on statistical tests using chi-square, there is a relationship between the knowledge (P value 0.000) and attitude (P value 0.000) of market traders by maintaining the sanitary hygiene of the traditional market environment. It is expected that market traders will know and be aware of maintaining the cleanliness of facilities including personal protective equipment
Effects of Steaming on the Functional Properties and Mineral Content of Lumi-Lumi Fish (Harpodon Nehereus) Meal
Authors: Safrida Safrida , Rahma Cukri , Putra Onetusfifsi , Rinawati Rinawati , Nurtiana Winda , Kurniati Yeni
Published: May 2023

The purpose of this study is to evaluate the mineral content, phenolic content, antioxidant activity, and soluble protein of Lumi-lumi fish meal (Harpodon nehereus) treated with and non-steamed for 30 min. The results revealed that iron (Fe) mineral content was significantly higher in the steamed than non-steamed treatment but not in calcium (Ca). However, there was a decrease in the minerals magnesium (Mg), phosphorus (P), and zinc (Zn) during the steamed process, which was not significant. Then, during steamed, there was a significant decrease in antioxidant activity but not in total soluble protein, whereas phenolic content increased. Based on the findings of this study, Lumi-lumi fish (Harpodon nehereus) meal steamed treatment could be the best treatment because it contained the best phenolic and Fe and Ca minerals.
Maternal Knowledge and Practices Towards Basic House Sanitation in Simeulue District
Authors: Fingki Diana , Khairunnas Khairunnas
Published: May 2023

Basic Home Sanitation is an effort to make the house and its environment healthy. Houses with poor sanitation will facilitate the spread of infectious diseases, especially respiratory and digestive tract diseases. This study aims to assess the effect of a Mother's Knowledge about the Importance of Basic Household Sanitation on sanitation practices. The research method is a qualitative and quantitative method with a cross-sectional design. Sampling used the purposive sampling method and obtained 57 samples, namely homemakers. Data was collected using questionnaires and in-depth interviews by visiting residents' homes. Statistical analysis results show that waste management significantly affects maternal sanitation practices. While the qualitative results using NVIVO show that the people of Babul Makmur Village have a habit of managing waste by collecting waste in open trash cans. Some respondents immediately burned the garbage collected in their yards. Some throw garbage directly into the vacant land and burn it if the debris accumulates in large quantities. All wastewater generated from household activities and public bathing is discharged through sewers, leading to surrounding water bodies. we conclude that there is a need for community-based total sanitation socialization
IDENTIFIKASI KARAKTERISTIK SIFAT KIMIA TANAH UNTUK EVALUASI KESESUAIAN LAHAN TANAMAN KOPI DI DATARAN MENENGAH DI POLEWALI MANDAR STUDI KASUS DI DESA KURRAK KECAMATAN TAPANGO
Authors: Winda Winda , Karim Harli A , Kandatong Hasanuddin
Published: May 2023

Tujuan dari penelitian ini adalah untuk mengevaluasi tanah agar dapat menghasilkan barang yang berkualitas tinggi dan untuk mengetahui karakteristik kimia tanah yang cocok untuk budidaya kopi. Penelitian dilaksanakan di Desa Kurrak Kecamatan Tapango Kabupaten Polewali Mandar Provinsi Sulawesi Barat pada bulan Maret sampai Mei 2022. Metode analisis yang digunakan adalah metode surveipurvosive sampling, observasi, wawancara, analisis data, atau pengumpulan data dan penggunaan laboratorium. Desa Kurrak merupakan tempat utama produksi kopi di Polewali Mandar. Berdasarkan hasil penelitian kimia tanah yang dilakukan di Laboratorium Kimia Padi Universitas Hasanuddin Makassar, lokasi penelitian tidak ada kaitannya dengan produksi kopi.
Analisis Perbandingan Produksi Kakao Sambung Samping dan Kakao Non Sambung Samping
Authors: Adalah Nur , Adila Nur , Basri Zulkifli , Siadina Siadina
Published: May 2023

AbstractAbstrak, Kakao merupakan salah satu tanaman unggulan oleh petani, karna harga jualnya yang relatif tinggi dan mudah untuk diproduksi dalam jangka waktu yang singkat. Penelitiank inil bertujuanz untukx mengetahuic apakah usaha tanib din Desam Banato Rejo Kecamatanq Tapango Kabupatenw Polewali Mandar layak di usahakan dan perbandingan produksi kakao sambung samping dan non sambung samping. Metodec yangv digunakanb dalamn penelitianm iniq yaituw teknike pengumpulanr datat dengany pengamatanu langsungi meggunakano kuesionerp, sedangkana analisiss datad yangf digunakang adalahh analisis kelayakan R/ChRation danj Uji t. Hasil penelitian ini diperoleh hasil R/C Rasio usaha tani kakao non sambung samping lebih kecil dibandingkan dengan R/C Rasio usaha tanig kakaoh sambungj sampingk. Usaha tanik kakaol sambungz sampingx layaku untuki diusahakano denganp melihata nilais R/Cd Rasio sebesarf 4,22, dan untuk usaha tani kakao non sambung samping layak diusahakanq denganw melihate nilair R/Ct Rasio sebesary 3,45. Hasil uji t (beda) yaitu hasil produksi sambung samping sebesar 2169.23 dan non sambung samping sebesar 1461.85 denganc nilaib sing. (2v tailedn) 0,000m. Keywords : Perbandingan Produksi; Kelayakan; Usahatani; Kakao Sambung Samping; Kakao Non Sambung Samping
Strategi Pemasaran Cabai Di Desa Segerang Kecematan Mapilli Kabupaten Polewali Mandar
Authors: Sainuddin Sainuddin , Sainuddin Sainuddin
Published: May 2023

Pada penelitian ini responden sebanyak 8 orang. Penelitian ini menggunakan metode Analisis Deskriptif, Analisis pendapatan dan Analisis R/C Ratio. Hasil penelitian menunjukkan bahwa pendapatan rata-rata petani cabai di Desa Segerang sebanyak Rp 17.456.875 dari total penerimaan sebanyak Rp 22.312.500 dan total biaya sebanyak Rp 4.855.625 dengan nilai R/C Ratio yang diperoleh sebesar 4,5 sehingga jika disesuaikan dengan kriteria R/C Ratio maka usahatani cabai dengan menggunakan strategi pemasaran dalam model Data Bass sangat layak karna hasilnya 4,5>1.