bluuebunny/crossref_metadata_2025 huggingface dataset:
Water access and sanitation facilities in the Johor River Basin, Malaysia: A comparison between indigenous and more modernised communities
Authors: Goodson Michaela L. , Kwa Yee Chu , Suboh Norlilawati , Ik Sing Cindy Lee , Shuen Wei Dominic Kay , Walsh Claire L.
Published: September 2023

Water access, sanitation and hygiene (WASH) data for Malaysia suggest that almost 100% of the population have access to basic sanitation and basic drinking water, but this data may not include marginalised communities and stateless individuals, indigenous or otherwise. The aim of this study was to evaluate WASH provision for residents of the Johor River Basin and evaluate the disparity in facilities between indigenous Orang Asli and more modernised communities. Questionnaires were distributed to eight communities. In total, 899 questionnaires were completed including 100 from indigenous communities and 799 from more modernised communities. Significant differences existed between communities with regard to education levels (p < 0.001), occupation (p < 0.001), household income (p < 0.001), type of toilet, sewage and sanitation facilities (p < 0.001) and perception of health risks and concerns (p < 0.001). There is a significant difference in access to water and sanitation facilities between indigenous and modernised communities. Further study is now required to understand behaviours and educate river-based communities on relevant potential health risks from water contamination in the Johor River Basin.
Economic and financial translation: key factors for successful training
Authors: Guenette Marie-France
Published: September 2023

This article explores the topic of economic and financial translation, a subfield of specialized translation which requires knowledge of a variety of sectors. Drawing on examples from the Canadian financial sector, it proposes four main areas from the perspective of translation, that is: i) macroeconomics and regulation; ii) accounting; iii) banking and investments, and iv) insurance. Each area is described with examples of challenges for translators, including types of texts, resources, employers, as well as the kinds of skills that are expected to do this work effectively. The information provided can prove useful to translators working in different fields, or those who will soon enter the workforce, as well as university professors, lecturers, and mentors. Specific recommendations are made regarding thextype of content that should be integrated into translator training for economic and financial translation, in particular with the goal of making this subspecialty accessible to those who do not qualify as subject matter experts.
IMPROVING NOCOMIT-J PROGRAM AS A RESPONSE OF WOMEN’S AND YOUTH’S SUICIDE CASES SURGE DURING COVID-19
Authors:   Universitas Brawijaya, Kusumadewi Hemalia
Published: September 2023

Suicide has been a long-time national problem for Japan as they hold the record for country with highest suicide rate according to WHO and the problem continues as of current. COVID - 19 which impacted most nation throughout the world including Japan, has a hand in influencing the increase of suicide rate in Japan. This increase is particularly evident in groups of youth and women who are among the most vulnerable groups in Japan, thus calls for more comprehensive sets of policy for suicide prevention. Currently there are prevention policies existing curRently. Among them there is a policy called NOCOMIT-J that will be the focus of this article. However, the rapid increase of suicide in pandemic time proves that there is an urgent need to improve the policy to suits the complexity of the situation. This paper aims to assess the variables behind the increase of suicide rates in Japan particularly for youth and women in order to use it as a basis calculation to improve the existing suicide prevention policy to focus on the group-specific problems. This paper will use qualitative method of descriptive case studies to analyze the unique factor contributing to women and youth suicide cases in pandemic time and use the result to suggest improvements for NOCOMIT-J policy by analyzing it in the established framework of holistic global mental health policy.
Nihon Shuwa (日本手話): How the Deaf Fight and Sign Through Barriers in Japan
Authors:   Universitas Brawijaya, Ohorella Tarisya Maharani , Pambayung Ghulam Phasa ,   Universitas Brawijaya
Published: September 2023

When talking about inclusive society, one should ponder the point of creating a society that provides equal opportunities regardless of the backgrounds of its members. An identity background one can have is to be hearing-impaired. Promoting inclusive society also means eradicating any hindrance faced by them. A number of countries have tried to do so, with many having failed. In that case, Japan is another case where the government is trying their best to design an inclusive society. Through this paper, the writers will try to elaborate the condition and struggle that is faced by the Deaf of Japan. Using Tan and Ang inclusive society characteristic as a theoretical framework, the writers found that, despite the fact that there has been efforts made by the government of Japan to integrate Deaf people into its society, namely by introducing Japanese Sign Language (JSL) and national Deaf organization, they has not been able to create inclusive society for the deaf. Their struggle is simply not enough to face problems such as the scarcity of Deaf educational institutions, interpreters, and representations. Despite there has been many studies examining the identity and struggles of the Deaf in Japan, the writers consider this writing as a precious contribution to inclusivity studies.
Demographic Factors, COVID-19-related Factors, and PTSD Symptom Clusters: Exploring Associations and Implications for Mental Health
Authors: Padmanabhanunni Anita , Pretorius Tyrone
Published: September 2023

The COVID-19 pandemic was characterized as a continuous traumatic stressor and associated with high levels of posttraumatic stress disorder (PTSD). This study examines the associations between demographic factors, COVID-19-related factors (fear of COVID-19 and perceived stress), and PTSD, as well as the associations between PTSD and indices of mental health. The participants in the study were university students (n = 322) who completed the PTSD Checklist for the Diagnostic and Statistical Manual-5 (DSM-5), the Fear of COVID-19 Scale, the Perceived Stress Scale, short forms of the Beck Hopelessness Inventory, the Center for Epidemiological Studies Depression Scale, and the trait scale of the State-Trait Anxiety Inventory. We used multiple regression analyses to determine significant predictors of PTSD and mental health. The results revealed distinctive associations between PTSD symptom clusters and the study’s variables. Perceived stress and fear of COVID-19 emerged as the strongest predictors of all PTSD symptom clusters. Participants who tested positive for COVID-19 reported high levels of intrusive re-experiencing. Age predicted negative alterations in cognition, mood, and hyperarousal. Furthermore, negative alterations in cognition and mood were the most significant predictors of anxiety, depression, and hopelessness, while hyperarousal was a significant predictor of anxiety and depression. The findings suggest that the potential benefits of implementing a rapid assessment of mental health among students at the outset of a disease outbreak can facilitate targeted intervention efforts. In addition, interventions that enhance resilience and coping may serve a protective function in mental health outcomes. Given the central role of maladaptive cognitions in the persistence of PTSD, interventions that focus on enhancing adaptive appraisals may bolster students' capacity to cope with adversity.
Epidemiological Modeling of the Impact of Public Health Policies on Hepatitis C: Protocol for a Gamification Tool Targeting Microelimination (Preprint)
Authors: Baptista-Leite Ricardo , Lopes Henrique , Vandewalle Björn , Félix Jorge , Franco Diogo , Clemens Timo , Brand Helmut
Published: September 2023

BACKGROUND

Hepatitis C is a disease with a strong social component, as its main transmission route is via blood, making it associated with lifestyle. Therefore, it is suitable to be worked on from the perspective of public health policy, which still has a lot of room to explore and improve, contrary to diagnoses and treatments, which are already very refined and effective.

OBJECTIVE

An interactive gamified policy tool, designated as Let’s End HepC (LEHC), was created to understand the impact of policies related to hepatitis C on the disease’s epidemiology on a yearly basis until 2030.

METHODS

To this end, an innovative epidemiological model was developed, integrating Markov chains to model the natural history of the disease and adaptive conjoint analysis to reflect the degree of application of each of the 24 public health policies included in the model. This double imputation model makes it possible to assess a set of indicators such as liver transplant, incidence, and deaths year by year until 2030 in different risk groups. Populations at a higher risk were integrated into the model to understand the specific epidemiological dynamics within the total population of each country and within segments that comprise people who have received blood products, prisoners, people who inject drugs, people infected through vertical transmission, and the remaining population.

RESULTS

The model has already been applied to a group of countries, and studies in 5 of these countries have already been concluded, showing results very close to those obtained through other forms of evaluation.

CONCLUSIONS

The LEHC model allows the simulation of different degrees of implementation of each policy and thus the verification of its epidemiological impact on each studied population. The gamification feature allows assessing the adequate fulfillment of the World Health Organization goals for the elimination of hepatitis C by 2030. LEHC supports health decision makers and people who practice patient advocacy in making decisions based on science, and because LEHC is democratically shared, it ends up contributing to the increase of citizenship in health.

INTERNATIONAL REGISTERED REPORT

RR1-10.2196/38521
The Potential of a Digital Weight Management Program to Support Specialist Weight Management Services in the UK National Health Service: Retrospective Analysis (Preprint)
Authors: Richards Rebecca , Wren Gina , Whitman Michael
Published: September 2023

BACKGROUND

Digital weight management interventions (DWMIs) have the potential to support existing specialist weight management services (SWMS) in the National Health Service (NHS) to increase access to treatment for people living with obesity and type 2 diabetes. At present, there is limited real-world evidence and long-term outcomes on the potential effectiveness of DWMIs to support such services.

OBJECTIVE

This study aimed to examine real-world data to evaluate the impact of Second Nature’s 12-month DWMI for patients living with obesity with or without type 2 diabetes, referred from NHS primary care services, on sustained weight loss over a 2-year period.

METHODS

Retrospective data were extracted in August 2023 for participants who participated in the program between January 1, 2017, and January 8, 2021. Eligible participants were adults with a BMI ≥35 kg/m2, with or without type 2 diabetes. The primary outcomes were weight change in kilograms and percentage weight change at 2 years. Secondary outcomes were weight loss at 1 year, program engagement, and the proportion of participants who achieved >5% and >10% weight loss. Differences in weight loss between baseline and the 1- and 2-year follow-up points were compared using paired 2-tailed t tests. Linear regression models were used to examine whether participants’ ethnicity, indices of multiple deprivation, presence of type 2 diabetes, or program engagement were associated with weight loss at 1 year or 2 years.

RESULTS

A total of 1130 participants with a mean baseline BMI of 46.3 (SD 31.6) kg/m2 were included in the analysis. Of these participants, 65% (740/1130) were female (mean age 49.9, SD 12.0 years), 18.1% (205/339) were from Black, Asian, mixed, or other ethnicities, and 78.2% (884/1130) had type 2 diabetes. A total of 281 (24.9%) participants recorded weight readings at 2 years from baseline, with a mean weight loss of 13.8 kg (SD 14.2 kg; P<.001) or 11.8% (SD 10.9%; P<.001). A total of 204 (18.1%) participants achieved ≥5% weight loss, and 130 (11.5%) participants reached ≥10% weight loss. Weight loss did not significantly differ by ethnicity, indices of multiple deprivation, presence of type 2 diabetes, or engagement in the program.

CONCLUSIONS

The findings suggested that Second Nature’s DWMI has the potential to support people living with obesity and type 2 diabetes remotely to achieve clinically significant and sustained weight loss at 2 years from baseline. Further research is needed to compare the intervention to standard care and assess integration with multidisciplinary clinical teams and pharmacotherapy in order to support this study’s findings.
Differences in symptoms and clinical outcomes of COVID-19 infection across vaccination status and age groups: a cross-sectional study of 2350 adults during the national pandemic from December 2022 to February 2023 in China (Preprint)
Authors: Hua Nan , Wang Ange , Zheng Fang , Gao Wenjing , Chen Jing , Zhang Qin
Published: September 2023

BACKGROUND

China had been implementing national anti-COVID measures until ending the ‘dynamic zero-COVID’ policy in 7 December 2022. Studies assessing the difference in clinical outcomes across vaccination status and age groups for the recent massive national COVID-19 outbreak in China are limited.

OBJECTIVE

We aimed to evaluate the associations between vaccination status, age groups and clinical outcomes in Chinese adults.

METHODS

This was a nationwide retrospective survey study conducted from January to February 2023 in Chinese adults. Information on COVID-19 infection status since December 2022, symptoms, COVID-related clinic visits, hospital admission, doses of vaccines received were collected by online survey or phone interview. Data were analyzed by log-binomial regression, negative binomial regression and ordered logistic regression.

RESULTS

Of 2350 participants aged 18-98 years, 81% were infected or probably infected, 78% had received ≥ 2 doses of vaccine. Vaccination rate decreased with age. Compared to young adults, older adults (aged above 75 years) were more likely to have fatigue, had longer length of time to symptom disappearance, higher chance of having pneumonia, higher prevalence of clinic visit and hospitalization. Adjusting for multimorbidity significantly reduced the effect sizes. Compared to unvaccinated group, receiving ≥ 3 doses was associated with significant lower chance of having pneumonia (OR 0.580, 0.411 to 0.819) and lower prevalence of clinic visits (PR 0.629, 0.488 to 0.810) and hospitalization (PR 0.293, 0.162 to 0.530).

CONCLUSIONS

During this massive Omicron outbreak in China, older adults remain at higher risk for negative clinical outcomes and multimorbidity partially explained the increased risk. Receiving vaccines seems protect against adverse clinical outcomes. The government need to continue promoting vaccination in older adults to mitigate the potential health service burden related to COVID-19 infection.

CLINICALTRIAL

NA
Proyección internacional de una empresa mexicana
Authors: Tejado Bárcena Federico
Published: September 2023

¿Las empresas mexicanas pueden establecerse con éxito en otros países? ¿México tiene capacidad y experiencia para compartirlas con el mundo? ¿Hay enseñanzas que pueden ser referentes para iniciar un proceso de internacionalización de una empresa mexicana? ¿Cómo afectó la pandemia por Covid-19 la subsistencia de empresa en el mundo? La respuesta a estas y a otras preguntas las expresó el ingeniero Federico Tejado Bárcenas, consejero patrimonial del Consejo de Administración de ALSEA, quien abordó durante la conferencia titulada: Proyección internacional de una empresa mexicana, impartida el martes 20 se septiembre, en el Auditorio Arturo Elizundia Charles, de la División de Estudios de Posgrado de la Facultad de Contaduría y Administración de la UNAM.
Investigation of Algorithms for Identification of Wave Parameters in Solid-State Wave Gyroscopes without Adjusting Calculations to the Frequency of Signals
Authors: Mingazov R. I. , Shishakov K. V.
Published: September 2023

To improve the efficiency of production operations of diagnostics, adjustment and control in the manufacture of integrating solid-state wave gyroscopes, algorithms for improving the accuracy of identification of wave parameters from measuring signals without their additional adjustment to the frequency of signals are considered. In the first algorithm for processing measurement results, a virtual transition to the moving axes of standing waves was introduced without taking into account the influence of a quadrature standing wave. It is characterized by the lowest potential accuracy, but it is convenient for the formation of initial approximations in the problems of clarifying optimization of identification functions in other algorithms. The second algorithm is based on direct five-parameter numerical minimization of the error feature by the conjugate gradient method. To avoid local extremes, it is recommended to use it as a clarifier. In this case, the initial search points are calculated by other algorithms and therefore selected near extremum. This algorithm allows identification at the shortest time intervals, which may be required when measuring high angular velocities. In the third algorithm, computational conditionality is improved at short identification intervals for increased level of measurement noise. In the fourth algorithm, the measurement results are processed using numerical procedures of digital demodulation under noise conditions. Comparison of the identification algorithms accuracy was carried out by methods of simulation modeling for theoretically set initial signals. This made possible direct comparison of initial and identified characteristics of wave processes: amplitudes of the main and quadrature standing waves, the angle of the main standing wave and its frequency. For the four algorithms considered, the results of simulation in the absence and presence of noise in the measuring signals are given. In the first case, diagrams of identification errors are analyzed depending on the length of the interval with a fixed and variable proportion of digital sampling frequencies and resonator oscillations. In the second case, there are standard identification errors depending on the noise level in the measuring signals (up to 20 percent of the basic amplitude of oscillations). Comparison of the results obtained showed the advantages and disadvantages of the corresponding algorithms, which is important for their practical adjustment when working with real samples of gyroscopes.
Shooting Simulator «Inhibitor»: Mathematical Support for Ballistics Rocket Weapons
Authors: Egorov S. F. , Vdovin A. Yu. , Shelkovnikov Yu. K. , Kornilov I. G. , Petukhov K. Yu. , Afanasyev V. A.
Published: September 2023

Mathematical support for the calculation of external ballistics for rocket weapons taking into account external factors and for the adjustment of weapon parameters of the optical-electronic tactical simulator for small arms 'Inhibitor' developed by the Institute of Mechanics of the UdmFRC UB RAS and Computer facilities department of Kalashnikov ISTU jointly with «Kalashnikov» Concern JSC » is described. A tactical and technical task is given to expand the functional capabilities of weapon simulators with support for adjusting the recoil force (50% of actual) and loading real sounds of a shot (60 % of actual volume), checking magazine sensors, piles (more than 5 degrees to the left and to the right) and safety fuse (for automatic and single firing), settings of trigger break limits and limits of readings of sights sensors (mechanical, optical and night). The interactive visual form allows you to check sensor readings and configure parameters for each simulator. To support reactive ballistics of RPG-7 and RPG-26, which is distinguished by the active section of the trajectory and its deviation against the wind, as well as a significant dependence on temperature and high random dispersion of grenades, an extension of the mathematical model is introduced to empirical account these factors and new wind models. Results of software tests for error of calculation of characteristics of reactive ballistic trajectory are given. It was concluded that further research and development of electronic shooting simulators were promising due to the improvement of computing tools and the development of software libraries in order to increase the accuracy of simulating external ballistics of simulators taking into account many external factors, expand functional networks and reduce cost and, therefore, increase competitiveness.
Social and Economic Cooperation Between Enterprises of Defence Industrial Complex and Small Business in Russia
Authors: Kuznetsov A. L. , Chikurov R. V.
Published: September 2023

The effective functioning of the economy of the modern state affecting the production, distribution or exchange functions, is impossible without laying down the deep links between its individual elements. Along with this, the active interaction of entrepreneurial structures of various scales and areas of activity and industries - in the areas of the implementation of planning, management and control functions, leads to the most efficient development of all interconnected elements of this structure. At the turn of the last decade, the form of small innovative enterprises created on the basis of universities, which are a link between the science and the real sector of the state economy. This article covers the possibility of the opportunities and prospects of the in-depth cooperation of such enterprises with other small and medium-sized businesses, as well as with enterprises belonging to the industry of the defense and industrial complex on personnel support and social and economic interaction. The article considers the main problems faced by small innovative enterprises and medium-scale enterprises in the execution of the state defense order and the reasons, in connection with which the share of these enterprises in the structure of the state defense order in the Russian Federation today is extremely small. The characteristic of a number of problems typical of enterprises of the defense and industrial complex in the direction of the realization of their activities in the field of innovative developments and the introduction of an innovative product across the consumer market and solving personnel issues is also. An analysis of the interaction of small innovative enterprises with the enterprises of the DIC in the territory of foreign countries was carried out, and promising directions were proposed focused on a positive change in the current situation.
Shooting Simulator «Inhibitor»: Ballistic Software «Meeting Tasks»
Authors: Egorov S. F. , Shelkovnikov Yu. K.
Published: September 2023

Software and algorithm for calculating external ballistics for the 'meeting task' with local objects, targets or lay is described, taking into account all external factors for the optical-electronic shooting simulator 'Inhibitor' developed at Institute of mechanics UdmFRC UB RAS and at Computer facilities department of Kalashnikov ISTU jointly with JSC «Kalashnikov» Concern». To solve the 'meeting task' problem of the simulator weapon ammunition with an element of a virtual target situation (lay, local object, target), coordinate systems of a 2D projection screen, a 3D ballistic curve and a 3D shooting range are introduced with translation from one system to another. At the same time, traditionally for ballistics, the X axis goes away. The algorithm of the 'meeting taks' calculates the ballistic trajectory, taking into account, among others, all types of ammunition, the level of placement of the shooter for the mountain version and the angles of the target and course, with a step of 1 m and synchronously with the evolution of the target situation solves the problem of crossing with the bilinear surface of the shooting range (in the form of a 'saddle') and plane-vertical targets or local objects. In addition to recording the hit, a close miss and the time of firing the target for subsequent evaluation are recorded. It was concluded that further research and development of electronic shooting simulators are promising due to the improvement of computing facilities and the development of software libraries in order to increase the accuracy of simulating the external ballistics of simulators for a realistic solution of the 'meeting task,' taking into account many external factors, expanding the functional capabilities of simulators and reducing their cost and, therefore, increasing competitiveness.
Determination of Packet Data Transmission Parameters when Working in the Meter Range
Authors: Kopysov A. N. , Shaimov A. Yu.
Published: September 2023

The article considers the possibility of organizing packet TCP/IP exchange in the channel of the frequency range from 30 to 300 MHz, as a basis for implementing a secure VPN connection between two subscribers within one of the communication network modes. The VPN connection, when considered, is a TCP/IP packet transmission, the only difference is that a new special header is attached to the original packet, as well as to the cryptographic encryption of the original packet. Hence, VPN tunnel can be represented as a TCP/IP connection. TCP/IP protocol stacks are oriented to support high-speed interfaces operating at high frequencies (for example, Ethernet/Wi-Fi, speeds from 100 Gb/s, 2.4 GHz frequency). The main problem of such a packet implementation at relatively low frequencies (30-300 MHz) is the sufficient instability of mobile MV radio communication (communication in the meter wave range) at a given frequency range and low transmission rate (up to 32 Kb/s), as a result of which there may be a high probability of data bit errors, loss of information packets and huge time delays in the exchange. The Reno model is used as a model for evaluating packet transmission [rec. ITU-T Y.1541, RFC2001] and such regulated indicators [rec. ITU-T 1.1540, ITU-T Y.1541], as: channel bandwidth, signal-to-noise ratio (SNR), transmission delay (IPTD), transmission delay variation (IPDV), transmission error rate (IPER), packet loss rate (IPLR, SER), maximum packet transport unit (MTU). The simulation of a low-speed communication line with the characteristics: length up to 5 km, transmission speed from 300 bits/s to 32,000 bits/s (V.21 - V.34bis modem protocols), the sizes of transmitted packets is 72, 576 and 1500 bytes (threshold values of the maximum unit of packet transportation), transmitter power 2 W, the signal-code construction is a 4-FSK signal with Reed-Muller encoding RM(30, 14). Based on the analysis of the data obtained, three categories of channels were identified: 'bad' - low signal-to-noise ratio (2-5 dB), high packet loss (above 10%) and long transmission delay (above 400 ms); 'medium' - SNR from 5 to 10 dB, packet loss less than 1%, the delay varies from 400 to 800 ms; 'good' is a channel passing through all regulated TCP/IP parameters, the OSH is more than 10 dB, the error probability is less than 0.1%, the delay fits into the regulated 400 ms.
Investigation of Spectral and Temporal Characteristics of Free Vibrations of Bearing Rings Press Joints for Solving Problems of Non-Destructive Testing
Authors: Ryzhova A. O. , Beher S. A.
Published: September 2023

To determine the possibility of controll the fit tightness of the press joints of the inner rings of the bearings with the journals of the wheelset axles by the method of free vibrations, experimental studies of the frequency and time patterns of bearing free rings natural vibrations, tuning samples, which are press joints of rings and shafts with interferences from 20 to 90 microns and joints of bearing rings with real axles of wheelsets, received from operation to the mid-life repair in car repair depots. The influence of various boundary conditions on the natural oscillation parameters of the free ring of the bearing has been studied. The natural frequencies of bearing rings in a free state and samples of rings and shafts press joints were experimentally determined. A comparative analysis of theharmonic spectra of their own oscillations was carried out, on the basis of which a criterion for the fit leakeage of the ring to the axle neck of the wheelset was found. The finite element method is used to calculate natural frequencies and the corresponding modes of ring vibrations in a free state and interference samples. A comparative analysis with the experimentally obtained frequencies was carried out. To analyze the patterns of free oscillation damping, the Fourier signal transformation was performed. Their amplitude-frequency-time characteristics were obtained. The spectra of free vibrations were calculated for bearing rings put on the axle journal manually, without interference with the gap between the contact surfaces of the axle and the ring filled with industrial oil and without it, for a press connection with a tight fit and for a weak press fit. A comparative analysis of the obtained spectra was carried out, on the basis of which a method for determining the fit leakeage of the ring to the axle neck was developed.
Modeling and simulation of two ambidextrous anthropomorphic manipulators to perform cooperative tasks
Authors: Uboh G. Ch. , Al Akkad M. A.
Published: September 2023

This paper is focusing on the development of a robotic arm using 3D modeling and simulation. The software used is Blender, which is a 3D modeling and simulation software that also supports programming language python as the scripting language. Blender was chosen over Maya because it is a free software suitable for students to develop their projects, and share the same features, more accessible, and the design is more realistic. The robotic arm was designed after studying the human arm and hand. The kinematics of the robotic arm were derived. The simulation shows the movement of rigged objects, e.g., an arm controlling a gun, and bullets projecting from the gun, and it was done using key frame animation and game engine simulation. Modeling and simulation of two robotic arms and hands, shooting with an AK-47 rifle at a bullseye, were done and completed using python in Blender. This work is intended to be integrated into a First-Person Shooter FPS game, which can be used to train biathlon sportsmen and army soldiers for precise shooting. Forward and inverse kinematics are implemented for the rig to move without breaking and deforming, then the bones and mesh together are combined as one unit, then the joined mesh is put to a desired position of a shooting position, then a rifle is added, then the bullets are simulated falling on ground when the bullets hits the target. Then finally the whole file is exported.
Maximum Power Point Tracking Method Application to Increase the Efficiency of Photovoltaic Installations
Authors: Abdali L. M. , Al-Maliki M. N. , Issa H. A. , Yakimovich B. A. , Kuvshinov V. V.
Published: September 2023

Photovoltaic systems using boost converters based on the traditional incremental conduction method have delayed convergence dynamics to the maximum power point (MPP). This article presents a simulation and hardware implementation of a variable step size MPPT with automatic scaling at low cost and low power consumption. The production of photovoltaic energy is highly dependent on weather and environmental conditions such as temperature and solar radiation. Due to any change in the external environment and the only control condition, the response of the first step of the working cycle of the converter of the traditional incremental conduction MPPT algorithm is not accurate, resulting in an incorrect estimate. Furthermore, this study clarifies the usual technique and presents a modified incremental conductance approach that appropriately responds as solar radiation levels rise. In order to improve the economy and efficiency of photo-voltaic systems, we proposed an improved incremental conduction algorithm for the MPP control strategy. This tech-nique is simpler in structure than the classic incremental conduction algorithm, and it can assign immediate incre-ments of power, voltage, and current as the environment changes, as well as increase tracking performance. The MATLAB/Simulink program runs under conditions of rapidly changing solar radiation levels, and the results of the enhanced and conventional incremental conductance algorithm are compared. The results show that the pro-posed algorithm can effectively detect erroneous judgments and prevent their occurrence. This not only optimizes the system, but also improves the efficiency, response speed, and tracking efficiency of the PV system, thus ensuring the stable operation of the power system.
Application of Passive Time-to-Pulse Converter in Temperature Measurement Systems of Moving Objects
Authors: Kulikov V. A. , Syakterev V. N. , Syaktereva V. V.
Published: September 2023

A variant of the implementation of a time-to-pulse converter as part of a human temperature measurement system is considered, in which a first-order circuit forming an information time interval is formed by a resistance temperature device and a capacitor. Initialization and registration of the time for the transient phenomena are carried out by MIS transistor and an integral comparator. Assessment of the differential sensibility of the converter depending on the time constant of the forming circuit for medium-speed keys is provided. The scheme of a multichannel converter is presented, with sequential and cyclic resistance of several thermal converters into the duration of the impulse response. At the same time, to decrypt the number of the measuring channel, the conversion cycles are separated by pauses. The function of converting temperature into the duration of the time interval is derived for a nickel resistance temperature device based on an equivalent electrical circuit of a time-to-pulse converter. Analytic forms are obtained to assess the effect of inaccuracy of circuit elements and destabilizing factors on the temperature measurement error. The conditions for its reduction have been determined. The converter connection is investigated in the Micro-Cap circuit simulation environment. The discrepancies between the experimental and calculated values of the conversion function did not exceed 0.2%. The temperature instability of the output information intervals of the time-to-pulse converter was no more than 0.1% in the operating temperature range 0 ...50°C and is due to the voltage temperature drift of the comparator bias voltage. The use of a passive time-to-pulse converter is advisable in telemetry systems for measuring temperature or other physical quantities with primary resistance, capacitance or inductance converters forming a first-order circuit in the conversion path. The presented analytical expressions can be used to estimate the additional measurement error.
Machine Learning Based Diabetes Decision Support System by using Decision Level Fusion
Authors: Madhuri Vaddagani
Published: September 2023

Abstract: It is fundamental in medication to have the option to expect illnesses early with the goal that they can be restored. Diabetes is considered one of the most perilous infections worldwide. The prevalence of this disease has reached nearly 100% due to the inclusion of sugar and fat in our high-calorie diets. To know when the contamination will strike, it is indispensable to comprehend what its signs are. Machine-learning (ML) procedures are useful for tracking down disorders right now. In this article, a "melded ML"- based diabetes forecast model is examined. The central strategy comprises of the Supports vector machine (SVM) and artificial neural network (ANN) models. These models examine the data to determine whether the diabetes conclusion is complete or negative. 70% of the information used in this review is preparatory information and 30% is test information. The fluffy model's feedback participation capability is the consequence of these models. In the final analysis, the outcome of diabetes is determined by logical and rational deliberation. The integrated models are reserved for future utilization in a cloud-based storage system. The merged model can sort out regardless of whether a patient has diabetes considering the patient's consistent clinical information. The suggested entwined ML model has a higher accuracy (94.87) than the procedures that have proactively been circulated
Optimizing Convolutional Neural Network (CNN) Models for Enhanced English-Devanagari Handwritten Character Recognition: A Hybrid Evolutionary Approach with Variable Length Genetic Algorithm
Authors: Taneja Pratham , Tyagi Bhaunik , Jain Utkarsh , Singh Divyansh
Published: September 2023

Abstract: Convolutional Neural Networks (CNNs) have gained widespread recognition in the field of computer vision, specifically for handwritten digit recognition. Despite their remarkable accuracy, CNNs entail significant computational training demands and are susceptible to local optima, necessitating innovative optimization strategies. This research introduces a novel approach to hyperparameter tuning for CNN models tailored to the recognition of English-Devanagari handwritten digits. This method combines a Hybrid Evolutionary Algorithm (HEA) with a Variable Length Genetic Algorithm (VLGA) and leverages a comprehensive dataset encompassing both English and Devanagari handwritten digits. The strategy extends the conventional paradigm by integrating a variable-length GA, facilitating systematic and adaptive tuning of critical CNN hyperparameters, including optimizer selection, learning rate, global hyperparameters, kernel size, filter count, activation functions, layer count, and pooling mechanisms. Extensive experimentation across benchmark datasets underscores the superior performance of the proposed approach when compared to traditional optimization methods. Seven key hyperparameters are the focal point of optimization efforts: learning rate, optimizer, kernel size, filter count, activation function, layer count, and pooling strategy. The results highlight the significant performance boost achieved by CNNs assisted by genetic algorithms, underscoring the effectiveness of evolutionary approaches in CNN training. Notably, experiments reveal that a population size of 27 yields optimal fitness values and average fitness scores. In the culmination of this research, the HEA-VLGA model achieves an impressive accuracy rate of approximately 99.38%. These findings unequivocally affirm the efficacy of incorporating evolutionary techniques as a potent avenue for enhancing CNN training processes.
A Review on Medicinal Properties of Gmelina Arborea (Gambhari Plant)
Authors: Mishra Mayank , Patley Chakres
Published: September 2023

Abstract: Ayurveda is a science of life practiced in Indian subcontinent from the ancient time. In global prospective, it is complete and holistic system in which a number of drugs have multiple beneficial actions are shown. So that the massive research is required to proof the beneficial effect of drugs. Gmelina arborea, a fast-growing deciduous tree belongs to the family Lamiaceae, and is an important plantation species in many tropical areas around the world. The species is naturally distributed in semi-deciduous forests in India. The tree is also an important medicinal plant in the Indian Systems of Medicine. Gmelina arborea (gambhari) also a drug already mentioned in Ayurveda used for the various purposes in ayurvedic literature. This plant have so many medicinal properties like digestive, cardio tonic, diuretic, laxative and pulmonary and nervine tonic. It improves digestion, memory, helps overcome giddiness and is useful in burning sensation, fever, thirst, heart diseases, nervous disorders and piles. In this review paper we concluded the Medicinal properties of Gmnelia arborea (gambhari) plant.
FoodResQ, A Mobile Application to Reduce Food Wastage
Authors: Bailur Aditi , Jain Natasha , Rathod Pratham
Published: September 2023

Abstract: Food waste has emerged as a significant global issue, and its severity continues to escalate daily. It poses a dual challenge: not only does it contribute to environmental harm through excessive food production and disposal, but it also persists in a world where 800 million individuals suffer from hunger. This problem is exacerbated as both the economy and population grow, leading to increased food wastage. A major portion of this waste originates from hotels and restaurants. To tackle this problem, we are harnessing mobile technology as a solution, facilitating businesses to redistribute surplus food to those who require it, thereby reducing food waste. Hence, we are in the process of creating a mobile application that will allow users to request food donations. Subsequently, local volunteers will step in to collect and distribute the food to those in need within the community
A Study on the Development of R&D Planning Expertise as Processing Reality
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ryu Jae-Hoon , You Yeong-Mahn
Published: September 2023

Objectives The purposes of this study were to identify the components of expertise as a processing reality through the exploration of arete's meaning and to derive a plan to develop R&D planning expertise as a processing reality through redefining the R&D planning process based on the Nonaka's SECI model.
Methods To this end, this study conducted theoretical research focusing on previous studies. The meaning of arete was explored centering on Aristotle's ｢Nikomakos Ethics｣, and the specific meaning of the SECI model was explored focusing on Nonaka's ｢Creative Routine｣. Based on the analysis, it was intended to present a plan to develop R&D planning expertise that can be practiced in the field.
Results As a result, in light of Aristotle's concept of arete, this expertise shows that it is an “ideal state” that experts should aim for and a “becoming” that constantly strives to reach it. In that arete is a tendency or habit acquired through will, expertise is a dynamic process of change that an individual steadily accumulates over a long period of time. And it was suggested that the process was a win-win process of benefiting oneself and others. Finally, based on Nonaka's SECI model, we presented how expertise is created dynamically in the R&D planning process.
Conclusions Therefore, in order to develop R&D planning expertise as a processing reality, expertise should be converted to a method of benefiting oneself and others that develops at the social level, such as expertise identified as arete, rather than a method of benefiting selfish and exclusive that develops at the personal level. The concept of expertise identified as arete should be an important purpose in developing R&D planning expertise, and intentional efforts are needed in the R&D planning process to recognize expertise components and accumulate and dissipate them in the field.
Why did They Cross-Apply?: An Exploratory Study on the Experience of Cross-Applicants of High School Students in Korea
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Hwang Hyojeong , Shin Sein , Lee Jun-Ki
Published: September 2023

Objectives This study qualitatively explored the experiences of students who went to college by cross-application with a major which is different from the high school track.
Methods In this study, six 3rd grade high school students participated who passed the university admission through cross-application. Through in-depth interviews with participants, data on experiences ranging from selecting high school tracks to changing tracks and cross-application processes were collected, and topics commonly revealed through a constant comparative analysis were identified.
Results As a result of the study, participants decided on their tracks by considering only the fragmentary aspects of a specific track and then experienced difficulty and confusion in changing the track in the middle. Also, their cross-application tended to be hastily decided with the purpose of employment and entrance exams, lacking deep consideration. In addition, they expressed concerns and anxiety about their studies and adaptation after entering university.
Conclusions Based on these results, this study suggested that sufficient information and deliberation are needed in the process of selecting high school tracks and counseling for college entrance, and academic and career guidance support at universities is required for cross-applicants.
Classification of nursing students' self-directed learning ability types and verification of influencing factors in online learning environment
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Seo Yohan , Moon Hanna , Jeong Mihyun
Published: September 2023

Objectives This study was conducted with the purpose of classifying the latent types of self-directed learning ability of nursing students in an online learning environment, and verifying the relationship between the teaching presence, academic achievement, academic resilience and perceived interaction that affect each type classification.
Methods The potential profile of self-directed learning ability was analyzed using the data of 250 nursing students from one university located in J province in an online class environment. LPA, ANOVA, and multinomial logistic regression analysis were conducted to verify the difference between the latent profile and the variable and the factors affecting the effect.
Results It was classified into 4 groups based on the estimated sub-factors of self-directed learning ability, and the results of verification of general characteristics and differences between variables according to latent profile types of self-directed learning ability, and latent profile types were class participation, major satisfaction , academic achievement, perception of real teaching, academic resilience, and perceived interaction were significantly different. In the ‘self-directed learning maintenance group’, the higher the grade, the higher the probability of being classified in this group by 2.3 times.
Conclusions According to the result of analysis, it was suggested that it is necessary to consider academic achievement and academic resilience in order to improve the self-directed learning ability of nursing students, but also consider the learner's grade level and degree of participation.