bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Response and Energy Conversion of Coupled Cantilevers with Dual Piezoelectric–Triboelectric Harvesting Mechanisms
Authors: Alghamaz Mohammad , Donyaparastlivari Leila , Ibrahim Alwathiqbellah
Published: January 2025

This study presents a Hybrid Piezoelectric–Triboelectric Energy Harvester (HPTEH) composed of two coupled cantilever beams, designed to enhance energy generation and broaden bandwidth by combining piezoelectric and triboelectric mechanisms. A theoretical 2-DOF lumped model was developed and validated with experimental results, demonstrating good agreement. Experimental findings reveal that Beam I exhibits a softening effect, with resonance frequencies shifting to lower values and increased displacement amplitudes under higher excitation levels due to material nonlinearities and strain-induced voltage generation. Beam II, in contrast, displays a hardening effect, with resonance frequencies increasing as triboelectric interactions enhance stiffness at higher excitation levels. Coupling dynamics reveal asymmetry, with Beam I significantly influencing Beam II in the higher frequency range, while Beam II’s impact on Beam I remains minimal. Phase portraits highlight the dynamic coupling and energy transfer between the beams, particularly near their natural frequencies of 18.6 Hz and 40.6 Hz, demonstrating complex interactions and energy exchange across a broad frequency range. The synergistic interplay between triboelectric and piezoelectric mechanisms allows the HPTEH to efficiently harvest energy across a wider spectrum, underscoring its potential for advanced energy applications in diverse vibrational environments.
Advancing Fine-Grained Few-Shot Object Detection on Remote Sensing Images with Decoupled Self-Distillation and Progressive Prototype Calibration
Authors: Guo Hao , Liu Yanxing , Pan Zongxu , Hu Yuxin
Published: January 2025

In data-scarcity scenarios, few-shot object detection (FSOD) methods exhibit a notable advantage in alleviating the over-fitting problem. Currently, research on FSOD in the field of remote sensing is advancing rapidly and FSOD methods based on the fine-tuning paradigm have initially displayed their excellent performance. However, existing fine-tuning methods often encounter classification confusion issues. This is potentially because of the shortage of explicit modeling for transferable common knowledge and the biased class distribution, especially for fine-grained targets with higher inter-class similarity and intra-class variance. In view of this, we first propose a decoupled self-distillation (DSD) method to construct class prototypes in two decoupled feature spaces and measure inter-class correlations as soft labels or aggregation weights. To ensure a robust set of class prototypes during the self-distillation process, we devise a feature filtering module (FFM) to preselect high-quality class representative features. Furthermore, we introduce a progressive prototype calibration module (PPCM) with two steps, compensating the base prototypes with the prior base distribution and then calibrating the novel prototypes with adjacent calibrated base prototypes. Experiments on MAR20 and customized SHIP20 datasets have demonstrated the superior performance of our method compared to other existing advanced FSOD methods, simultaneously confirming the effectiveness of all proposed components.
UAV-Based Multiple Sensors for Enhanced Data Fusion and Nitrogen Monitoring in Winter Wheat Across Growth Seasons
Authors: Wang Jingjing , Wang Wentao , Liu Suyi , Hui Xin , Zhang Haohui , Yan Haijun , Maes Wouter H.
Published: January 2025

Unmanned aerial vehicles (UAVs) equipped with multi-sensor remote sensing technologies provide an efficient approach for mapping spatial and temporal variations in vegetation traits, enabling advancements in precision monitoring and modeling. This study’s objective was to analyze UAV multiple sensors’ performance in monitoring winter wheat chlorophyll content (SPAD), plant nitrogen accumulation (PNA), and N nutrition index (NNI). A two-year field experiment with five N fertilizer treatments was carried out. The color indices (CIs, from RGB sensors), vegetation indices (VIs, from multispectral sensors), and temperature indices (TIs, from thermal sensors) were derived from the collected images. XGBoost (extreme gradient boosting) was applied to develop the models, using 2021 data for training and 2022 data for testing. The excess green minus excess red index, red green ratio index, and hue (from CIs), and green normalized difference vegetation index, normalized difference red-edge index, and normalized difference vegetation index (from VIs), showed high correlations with three N indicators. At the pre-heading stage, the best performing CIs correlated better than the VIs; this was reversed in the post-heading stage. CIs outperformed VIs in SPAD (CIs: R2(coefficient of determination) = 0.66, VIs: R2 = 0.61), PNA (CIs: R2 = 0.68, VIs: R2 = 0.64), and NNI (CIs: R2 = 0.64, VIs: R2 = 0.60) in the pre-heading stage, whereas VI-based models achieved slightly higher accuracies in post-heading and all stages compared to CIs. Models built with CIs + VIs significantly improved the models’ performance compared to single-sensor models. Adding TIs to CIs and CIs + VIs further improved the models’ performance slightly, especially at the post-heading stage, resulting in the best model performance with three sensors. These findings highlight the effectiveness of UAV systems in estimating wheat N and establish a framework for integrating RGB, multispectral, and thermal sensors to enhance model accuracy in precision vegetation monitoring.
Center of Mass Estimation During Single-Leg Standing Using a Force Platform and Inertial Sensors
Authors: Takahashi Ryosuke , Sonobe Motomichi
Published: January 2025

Single-leg standing is a conventional balance evaluation method used in medicine. Although the center of mass (COM) displacement should be evaluated to determine balance quality, no practical COM estimation methods have been developed for single-leg standing. This study aimed to estimate the COM displacement in the anteroposterior and mediolateral directions during single-leg standing using practical measurements. We used a force platform and three inertial measurement units to estimate the COM displacement based on rigid-link models in the sagittal and frontal planes. The rigid-link models were composed of the stance leg, upper body, and non-stance leg. Seven healthy male subjects participated in the experiment to validate the estimation accuracy. The COM estimation accuracy was verified by comparison with measurements obtained using an optical motion capture system. The root mean square error of this method was 1.18 mm in the sagittal plane and 1.26 mm in the frontal plane. This technique will contribute to the detailed evaluation of individual balance abilities in the medical and sports fields.
Streaming to Connect: Exploring How Social Connectedness Relates to Empathy Types and Physiological States in Remote Virtual Audiences
Authors: Wang Katherine , Joshi Jitesh , Cho Youngjun
Published: January 2025

Examining remote virtual audiences is a vital part of understanding social experiences in modern human–computer interaction contexts. Doing so raises intriguing questions about how these mediated connections relate to emotional and physiological states. The vagus nerve is central to socioemotional processing and physiological well-being, with its activation represented as vagally mediated heart rate variability (vmHRV). We examine how participants’ social connectedness to virtual partners relates to their experience of socioemotional competences and psychophysiological states while observing streamed gameplay. In this experimental study with 48 participants, we compared self-reported empathy, empathic concern, and continuously measured vmHRV (from a PPG sensor) during different types of gameplay. The results revealed that viewers who felt greater social connectedness to remote partners also felt more empathic concern (quantitative detail) and had significantly heightened vmHRV (quant detail) across all conditions compared to those who felt lower connectedness. These findings reveal that stronger feelings of connectedness to remote partners are associated with enhanced socioemotional competences and physiological well-being. This research highlights the intertwined nature of social connectedness, empathy, and physiological health, providing valuable insights for designing virtual platforms that foster deeper interpersonal connections and promote well-being.
An All-Hazards Return on Investment (ROI) Model to Evaluate U.S. Army Installation Resilient Strategies
Authors: Parnell Gregory S. , Curry Robert M. , Specking Eric , Beger Anthony , Buchanan Randy , Wolters Susan , Richards John P. , Ables Patrick R.
Published: January 2025

The paper describes our project to develop, verify, and deploy an All-Hazards Return of Investment (ROI) model for the U. S. Army Engineer Research and Development Center (ERDC) to provide army installations with a decision support tool for evaluating strategies to make existing installation facilities more resilient. The need for increased resilience to extreme weather caused by climate change was required by U.S. code and DoD guidance, as well as an army strategic plan that stipulated an ROI model to evaluate relevant resilient strategies. During the project, the ERDC integrated the University of Arkansas designed model into a new army installation planning tool and expanded the scope to evaluate resilient options from climate to all hazards. Our methodology included research on policy, data sources, resilient options, and analytical techniques, along with stakeholder interviews and weekly meetings with installation planning tool developers. The ROI model uses standard risk analysis and engineering economics terms and analyzes potential installation hazards and resilient strategies using data in the installation planning tool. The ROI model calculates the expected net present cost without the resilient strategy, the expected net present cost with the resilient strategy, and ROI for each resilient strategy. The minimum viable product ROI model was formulated mathematically, coded in Python, verified using hazard scenarios, and provided to the ERDC for implementation.
Enhancing Efficiency in the Healthcare Sector Through Multi-Objective Optimization of Freight Cost and Delivery Time in the HIV Drug Supply Chain Using Machine Learning
Authors: Ghazvinian Amirkeyvan , Feng Bo , Feng Junwen
Published: January 2025

The purpose of this paper is to examine the optimization of the HIV drug supply chain, with a dual focus on minimizing freight costs and delivery times. With the help of a dataset containing 10,325 instances of supply chain transactions, key variables, including “Country”, “Vendor INCO Term”, and “Shipment Mode”, were examined in order to develop a predictive model using Artificial Neural Networks (ANN) employing a Multi-Layer Perceptron (MLP) architecture. A set of ANN models were trained to forecast “freight cost” and “delivery time” based on four principal design variables: “Line Item Quantity”, “Pack Price”, “Unit of Measure (Per Pack)”, and “Weight (Kilograms)”. According to performance metrics analysis, these models demonstrated predictive accuracy following training. An optimization algorithm, configured with an “active-set” algorithm, was then used to minimize the combined objective function of freight cost and delivery time. Both freight costs and delivery times were significantly reduced as a result of the optimization. This study illustrates the potent application of machine learning and optimization algorithms to the enhancement of supply chain efficiency. This study provides a blueprint for cost reduction and improved service delivery in critical medication supply chains based on the methodology and outcomes.
Flood Monitoring Based on Multi-Source Remote Sensing Data Fusion Driven by HIS-NSCT Model
Authors: Ding Pengfei , Li Rong , Duan Chenfei , Zhou Hong
Published: January 2025

Floods have significant impacts on economic development and cause the loss of both lives and property, posing a serious threat to social stability. Effectively identifying the evolution patterns of floods could enhance the role of flood monitoring in disaster prevention and mitigation. Firstly, in this study, we utilized low-cost multi-source multi-temporal remote sensing to construct an HIS-NSCT fusion model based on SAR and optical remote sensing in order to obtain the best fusion image. Secondly, we constructed a regional growth model to accurately identify floods. Finally, we extracted and analyzed the extent, depth, and area of the farmland submerged by the flood. The results indicated that the HIS-NSCT fusion model maintained the spatial characteristics and spectral information of the remote sensing images well, as determined through subjective and objective multi-index evaluations. Moreover, the regional growth model could preserve the detailed features of water body edges, eliminate misclassifications caused by terrain shadows, and enable the effective extraction of water bodies. Based on multi-temporal remote sensing fusion images of Poyang Lake, and incorporating precipitation, elevation, cultivated land, and other data, the accurate identification of the flood inundation range, inundation depth, and inundated cultivated land area can be achieved. This study provides data and technical support for regional flood identification, flood control, and disaster relief decision-making, among other aspects.
Digital Future In The Mirror Of Social Networks
Authors:   Financial University under the Government, Raskhodchikov A. N.
Published: January 2025

The Internet as a new reality and the third (after natural and technogenic) environment of human activity is developing on new, still poorly understood principles. The article presents an attempt to deal with the main phenomena of digital environment of life activity, to determine the possibilities of information systems development.
Methodological approaches to the study of images of the future the place of archetypal analysis in them
Authors:   Orel State University named after I.S. Turgenev, Petrova R. A.
Published: January 2025

The article examines the methodological aspects of studying images of the future. An analytical review of methodological models proposed by domestic and foreign scientists is given: complex humanitarian analysis (CGA), the method of causal-level analysis (CLA), the «six pillars» approach, scenario archetypes, a model of awareness of the future. The author also considers four directions of methods for the study of images of the future: statistical methods, a structural-semiotic approach, hermeneutical analysis and projective methods.
From the process of generation of pre- sense to the formation of new difficult sense: descriptive formalization
Authors:   nstitute for Control Problems of the Russian Academy of Sciences, Sidel’nikov Y. V. , Matkovskaya Ya. S. ,   Financial University under the Government of the Russian Federation
Published: January 2025

The authors propose a descriptive formalization of all processes necessary for the formation of a New Difficult Sense (NDS) that is significant for the creation of innovations. In this regard, the authors have identified for themselves the need to solve several problems related to the explanation of key concepts, the descriptive formalization of the process of generating Pre-sense, the processes of creating and embodying sense and NDS in the forms of natural (and not only) language, and the consideration of the system of requirements for new emerging concepts. The results of the problem-solving are presented in the form of hypotheses, axioms and postulates. The authors believe that the approach they have taken will not only allow them to achieve the goal of more accurately displaying the specific properties and relationships that characterize the area they are studying but will also allow them to create conditions for its development at an interdisciplinary level. The authors rely on the ideas presented in the previous article, which they plan to develop in subsequent works.
AI-Based Chatbot System for Education and Recommendations on the Use of Native Papuan Herbal Plants using the Large Language Models method
Authors: Aras Suhardi , Kelian Maya Nurliati , S Ilham , Faridah Alfiyyah
Published: January 2025

This study develops an AI-based chatbot to provide education and recommendations for using Papuan herbal tea. The goal is to raise awareness and dispel traditional knowledge about Papuan herbal tea, which has historically been weak in local communities. The methods used include problem analysis, literature review, data collection, system testing using Large Language Models (LLM), and implementation using Google Generative AI (Gemini-Pro). This system is designed to analyze text queries and provide relevant answers using text-based query syntax. Pengujian is carried out using the BERTScore method to assess the system's adherence to the reference data. The study's results indicate very good performance, with a rata-rata Precision of 0.58357/58 %, a Recall of 0.66781/66%, and an F1-Score of 0.62205/62. %. More precise recall indicates that the system can capture a lot of pertinent information, even when there are performance differences between questions. This study demonstrates the potential of AI technology to improve understanding between local communities and the general public as well as to support local Papuan kearifan events
Security Service Monitoring Using Face Recognition, Near Field Communication and Geolocation Technology
Authors: Setiawan Eko Budi , Wijaksono Rizky Milan Alpasya
Published: January 2025

In a company that provides security services, monitoring, and field control activities are carried out daily to ensure that all designated checkpoints are properly supervised. This research aimed at facilitating the management in summarizing the field control activity reports and enhancing the supervision of the field security personnel conducting field control. The application is developed using Golang, JavaScript, and Kotlin programming languages and utilizes PostgreSQL as its database. The application is web-based for administrative personnel and mobile-based for field security personnel. The technology used in building this application includes face recognition, GPS, and location-based service and NFC reader. Based on the implementation and testing results, it is found that the developed application functions according to the established workflow. The fastest face recognition detection time was 1.22 seconds, and the RFID tag was successfully detected at a distance of less than 4 cm and an average time of 0.378 seconds, and the use of geolocation provides accurate position results.
Design and construction of a smart lock system using Internet of Things (IoT)
Authors: Aniru Muhammed Abudu , Osasenaga Enoma Victor , Emmanuel Osamwonyi Efosa , Gerald Matthew Onyeka , Melody Emede Oghenekome
Published: January 2025

This paper aims to design and construct a smart door lock system using the Internet of Things (IoT), WiFi module, relay module and other peripheral devices to provide people with an incomparable level of control and accessibility over their home’s entry points. Traditional door lock systems are slow, insecure and with high vulnerability and they require human intervention to lock and unlock them. Thus, an IoT-based smart door lock system offers a proper lock protection mechanism with better performance. The system comprises a microcontroller (NodeMCU ESP8266), solenoid lock, DC battery(12V), 5V 3A buck converter (LM7805), WiFi module and a switching device (Relays). The setup of the system was tested with 3 independent devices for 10 trials. All of the trials accurately interpreted the received commands and transmitted the corresponding signals to the interfaced relay module. Subsequently, the relay module effectuated the lock/unlock operation on the integrated solenoid lock mechanism, thus accomplishing the intended objective of the study.
Chatbot Adoption Framework for Real-Time Customer Care Support
Authors: Nyongesa Geoffrey , Omieno Kelvin , Otanga Daniel
Published: January 2025

In our society today, most sectors are digitizing and automating their processes for efficiency. Human labour has become obsolete as a result of the disruption of labour markets brought about by the rising complexity and availability of software programs. When seen in this light, the adoption of artificial intelligence chatbots by businesses as a supplement to human customer service representatives serves as a crucial development. Computer programs or software that communicate with humans using natural language are referred to as chatbot applications. Through the use of speech, text, or both, the purpose of a chatbot is to simulate human interaction in response to input in natural language. For the purpose of providing customer care support services, there are no well-formulated rules for the implementation of artificial intelligence chatbots in Kenyan telecom companies. An adoption framework for the deployment of artificially intelligent chatbots in the telecommunications sector was proposed as the objective of the research. This was accomplished by determining the current level of the installation of chatbot apps in Kenya and identifying the primary metrics that might be used as indications for the dissemination of chatbots. A study of the earlier frameworks and models on technology adoption was conducted in order to determine the relevant metrics. A combination of research approaches was used in this study, with questionnaires and interview schedules being used to obtain quantitative and qualitative data, respectively. In order to examine qualitative data, content analysis was what was used. Using tables and charts, descriptive analysis was performed on the quantitative data, and the findings were presented. AI specialists working for Safaricom PLC and the Communications Authority of Kenya were the ideal candidates for this position. From the two different telecommunications companies, a sample was selected for the research study utilizing the Delphi approach. A descriptive analysis as well as a major component analysis were used because they serve as a guide on aspects to consider before using AI chatbots for customer support services provision. The results of this research are particularly important to all companies that are involved in providing telecommunication services
A Research on Positioning Algorithm Based on RPCA in Sparse Fingerprint Environment
Authors: Xie Yaqin , Ekra Md Emadur Rahman , Gu Tianyuan , Wang Xiaoli
Published: January 2025

The indoor positioning method based on Wi-Fi fingerprinting has the advantages of simple acquisition and low cost. However, during signal collection, the presence of significant noise in the environment can cause fluctuations in signal strength measurements due to environmental variations. Additionally, a large number of fingerprints usually need to be collected to achieve high positioning accuracy. To address these issues, this paper proposes a positioning method based on a robust principal component analysis algorithm (RPCA) in a sparse fingerprint environment. Firstly, considering the outlier noise present in the collected signals, purification is performed based on signal measurement weights, and the refined fingerprints are stored in the fingerprint database. Secondly, given the high cost of collecting fingerprints, this paper generates some virtual fingerprints near reference points based on a transmission loss model, all of which are stored in an offline fingerprint database. Finally, adaptive K-value fingerprint matching is used to obtain the final results. The results show that the proposed algorithm can improve positioning accuracy in a sparse fingerprint environment.
Creating Ferroelectricity and Ultrahigh-Density Polar Skyrmion in Paraelectric Perovskite Oxide Monolayers by Moiré Engineering
Authors: Xu Tao , Qian Tao , Pang Jiafei , Zhang Jingtong , Li Sheng , He Ri , Wang Jie , Shimada Takahiro
Published: January 2025

Atomic-scale polar topologies such as skyrmions offer important potential as technological paradigms for future electronic devices. Despite recent advances in the exploration of topological domains in complicated perovskite oxide superlattices, these exotic ferroic orders are unavoidably disrupted at the atomic scale due to intrinsic size effects. Here, based on first-principles calculations, we propose a new strategy to design robust ferroelectricity in atomically thin films by properly twisting 2 monolayers of centrosymmetric SrTiO
3
. Surprisingly, the emerged polarization vectors curl in the plane, forming a polar skyrmion lattice with each skyrmion as small as 1 nm, representing the highest polar skyrmion density to date. The emergent ferroelectricity originates from strong interlayer coupling effects and the resulting unique strain fields with obvious ion displacements, contributing to electric polarization comparable to that of PbTiO
3
. Moreover, we observe ultraflat bands (band width of less than 5 meV) at the valence band edge across a wide range of twist angles, which show widths that are smaller than those of common twisted bilayers of 2-dimensional materials. The present study not only overcomes the critical size limitation for ferroelectricity but also reveals a novel approach for achieving atomic-scale polar topologies, with important potential for applications in skyrmion-based ultrahigh-density memory technologies.
Hükümet Dışı Örgütlerin İnsan Hakları Hukukuna Etkileri: Doğa Hakları İçin Küresel İttifak ve Uluslararası Doğa Hakları Mahkemesi Örneği
Authors: Koc Basar Cansu
Published: January 2025

Devletler ile toplum arasında köprü olma işlevi gören hükümet dışı örgütlerin önemi, iletişimin ve politikanın küreselleştiği, kolektif sorunların çoğaldığı günümüz kamusal yaşamında giderek artmaktadır. Nitekim küreselleşmenin kamusal yaşama etkilerinden biri de küresel ölçekli sorunların çoğalması ve devletlerin ya da özel sektörün bu sorunlara cevap vermede yetersiz kalması ve hatta sorunların varlığına dâhil olmalarıdır. Bu noktada hükümet dışı örgütlerin küresel ölçekli sorunları çözme faaliyetleri kapsamındaki işlevlerinin güçlendiği görmek ve güçleneceği söylemek mümkündür. Söz konusu bağlamda çevrenin korunması ve iklim krizi ile mücadele konularında gelişen sivil inisiyatiflerin yürüttükleri faaliyetler ve bu faaliyetler kapsamındaki etkililikleri ise dikkat çekici boyuttadır. Nitekim çevrenin korunması ve iklim krizi ile mücadele gibi konularda devletler ve şirketler yapıcı politikalar üretebilmekle beraber sivil toplumun takibine özellikle ihtiyaç duyan kurumlar pozisyonuna gelmişlerdir. Dolayısıyla eylem amaçlı hükümet dışı örgütler arasında gösterilebilecek olan ve çevrenin korunması amacıyla faaliyet gösteren hükümet dışı örgütler (ENGOs) çevreye ilişkin sorunların artmakta olduğu günümüz toplumlarında etkinliklerini ve etkililiklerini artırmaktadır. Doğa Hakları İçin Küresel İttifak (GARN) ve Uluslararası Doğa Hakları Mahkemesi ise söz konusu durumun önemli bir örneği olarak karşımıza çıkmaktadır.
Arsa Payı Karşılığı İnşaat Sözleşmelerinde Arsa Sahibi Lehine Kurulan İpoteğin (İnşaat Teminat İpoteğinin) Hukuki Niteliği
Authors: Koyuncu Aktaş Nihan
Published: January 2025

Arsa payı karşılığı inşaat sözleşmelerinin birçok görünümü mevcuttur. Arsa paylarının henüz başlangıçta yükleniciye devredilmesini öngören sözleşmelerde arsa sahibi yönünden bir teminat ihtiyacı belirir. Bu teminat ihtiyacını karşılamak amacı ile arsa sahibi lehine ipotek kurulması söz konusu olabilir. Çalışmamızda arsa payı karşılığı inşaat sözleşmesinde arsa sahibi lehine kurulan ve uygulamada inşaat teminat ipoteği olarak adlandırılan bu ipoteğin hukuki niteliği irdelenmektedir. Bu amaçla öncelikle asıl borç ilişkisi olan ve alacağı doğuran arsa payı karşılığı inşaat sözleşmeleri ele alınmaktadır. İpoteğin hukuki niteliği belirlenirken arsa sahibinin bu sözleşmeden doğan ve teminat altına almayı amaçladığı alacağından yola çıkılmaktadır. Bu kapsamda yüklenicinin inşaat yapma şeklinde tezahür eden yapma borcuna karşılık belirsiz bir alacağı teminat altına alması nedeni ile üst sınır ipoteği kurulmaktadır. Ancak alacağın miktarının belirli olduğu hallerde anapara ipoteğinin kurulmasının önünde engel yoktur. İpoteğin hukuki niteliğine bağlı olarak değişen sonuçlar ayrıca ele alınmaktadır.
The Vital Role of Christian Leadership in Fostering Family Resilience Throughout the Age of Disruption
Authors: Nababan Doni Abadi
Published: January 2025

Abstract: The family is the main foundation in the social structure of society with a central role in strengthening the resilience of a country. The era of disruption, characterized by rapid social and economic change and great uncertainty, poses serious challenges to the family in maintaining its existence. This study aims to describe the significance of Christian leadership in building family resilience in facing challenges in the era of disruption. The methods used are literature study and netnography. The research findings show that the application of good Christian leadership is increasingly urgent to build family resilience. This research also identifies the challenges of the disruption era, the characteristics of leadership that builds family resilience, and relevant Christian values. As part of anticipatory efforts, Christian leadership is expected to create a strong foundation in the family, which in turn increases the resilience of society and the state.
 
Keywords: Disruption Era, Leadership, Family Resilience.
 
 
Abstrak: Keluarga merupakan fondasi utama dalam struktur sosial masyarakat dengan peranan sentral untuk memperkuat ketahanan suatu negara. Era Disrupsi yang ditandai oleh perubahan sosial dan ekonomi yang cepat serta ketidakpastian besar, memberikan tantangan serius bagi keluarga dalam mempertahankan eksistensinya. Penelitian ini bertujuan untuk mendeskripsikan signifikansi kepemimpinan Kristen dalam membangun ketahanan keluarga dalam menghadapi tantangan di era disrupsi. Metode yang digunakan adalah studi pustaka dan netnografi. Temuan penelitian menunjukkan bahwa penerapan kepemimpinan Kristen yang baik semakin urgen untuk membangun ketahanan keluarga. Penelitian ini juga mengidentifikasi tantangan era disrupsi, ciri-ciri kepemimpinan yang membangun ketahanan keluarga, serta nilai-nilai Kristiani yang relevan. Sebagai bagian dari upaya antisipatif, kepemimpinan Kristen diharapkan dapat menciptakan pondasi yang kuat dalam keluarga, yang pada gilirannya meningkatkan ketahanan masyarakat dan negara.
 
Kata Kunci: Era Disrupsi, Kepemimpinan, Ketahanan Keluarga.
EDUCATIONAL VIDEO AS AN EFFORT TO REDUCE THE INCIDENCE OF POSTPARTUM BLUES AT MUNTILAN HEALTH CENTER
Authors: Wulandari Risky Puji , Meilani Mita , Abidah Alief Nur insyiroh , Perwitasari Perwitasari
Published: January 2025

Background: The postpartum period has a strong position as a risk factor for the development of serious mood disorders that can lead to postpartum blues and even depression. Postpartum blues is one of the adjustment disorders after childbirth in the form of feelings of sadness and anxiety that occur on day 3 to day 5 in the first 14 days after childbirth. This condition can cause bounding attachment problems between mother and baby, delays in physical, social, and cognitive development in infants. In other aspects, it affects postpartum care, maternal health, and greatly affects the mother's quality of life. Methods: This study was a type of quantitative research with a quasy experiment design. Total population of 50 mothers with total sampling, the number of samples of this study was 50 respondents. Observations were made twice, namely before and after the experiment and there was a control and intervention group (25 samples/group). Results: There was a rfesignificant difference in the average postpartum blues (EPDS score) before and after being given an educational video in the intervention group with a p-value of 0.000 (p <0.05). The data normality test used Shapiro Wilk with the results of the normally distributed data with a p value of >0.05. The bivariate test uses the paired t-test, which is to determine the effect  of educational videos as an effort to reduce the incidence of postpartum blues before and after the provision of educational videos in the intervention group and control group. There was a decrease in EPDS scores with a difference between post-test and pre-test of 5.16. Researchers 95% believe that the difference in EPDS scores before the educational video with EPDS scores after education is between 4.53 to 5.80l. Conclusion: Video education is proven to have an effect on reducing the incidence of postpartum blues in the group given educational videos. Respondents in the intervention group experienced a significant decrease in postpartum blues compared to the control group.
VYSVĚTLUJÍCÍ POČÍTAČOVÉ MODELY
(EXPLANATORY MODELS) V LÉKAŘSKÉ VÝUCE
Authors: Kulhánek Tomáš , Kofránek Jiří
Published: January 2025

Jakýmsi moderním norimberským trychtýřem usnadňujícím
vstřebávání znalostí ve výuce medicíny jsou dnes tzv. vysvětlující počítačové modely (explanatory models). Jejich úlohou je pomocí simulačních her podpořit porozumění příčinám klinických
příznaků a pochopení diagnostiky a terapie jednotlivých onemocnění v kontextu fyziologických regulací. Jádrem lékařských
simulátorů jsou matematické modely fyziologických systémů.
Jejich tvorba vyžaduje multidisciplinární spolupráci vysoce
kvalifikovaných odborníků. Díky rozvoji výpočetní techniky se
výukové simulátory staly novým trhem. Vývojem simulátorů se
dnes zabývá mnoho firem. Vývoj probíhá i v otevřených komunitách v akademickém prostředí univerzit a vývojových firem.
Vytvoření a udržování komunity uživatelů a tvůrců simulátorů
je zásadní. Naším příspěvkem je vytvoření metodiky pro vývoj
webových simulátorů, která umožňuje vývoj elektronických
učebnic propojujících text s animovanými obrázky se simulačním modelem na pozadí.
The Phenomenon of Death: Public and Individual in the Space of the Secular and Post-Secular
Authors:   Pushkin Leningrad State University, Drokova E.M.
Published: January 2025

Introduction. Philosophical and religious thought in the period of the late twentieth and early twenty first centuries does not give clear characteristics to the phenomenon of death. Postmodernism, which is still relevant, does not offer an unambiguous interpretation of this or that phenomenon, however, the representative of postmodern philosophy Jean Baudrillard in his work “Symbolic exchange and death” analyzes the phenomenon of death through a system of symbolic exchange, and psychoanalysis of the twentieth century forms the basis for research on the perception of the image of death within the framework of a new religiosity. Content. Baudrillard considers the phenomenon of death in the context of the human history development. He notes significant changes in the perception of death after the advent of the New Age, which formed a new relationship between the State, the Church and Society. Against the background of these changes, the status of the afterlife is also changing, which previously played a decisive role in shaping the meaning of death. The State is gaining more power in an increasingly secularized world. Baudrillard connects the emergence of the concept of the individual with the formation of a modern vision of the phenomenon of death. Individual processes that could not have been carried out earlier contribute to the emergence of a personal meaning of death. In addition, the fear of death is accompanied by a weakening of religiosity. These two factors determine the new images of death in European culture. The emergence of psychoanalysis has brought new shades to the perception of death. The concept of Z. Freud's death drive confronts Christian dialectics and deconstructs the previous understanding of the phenomenon of death. Theories about the subconscious mind form the basis for the emergence of new meanings in matters of comprehension of the phenomenon of death, including in relation to the religious picture of the world.

Conclusions. The philosophy and psychology of secular society form an idea of the phenomenon of death in a new way. J. Baudrillard thinks about death through the prism of political economy, which is characterized by the retention of power in the hands of the State and the Church, and individuality opposes ancient communal attitudes, which is reflected. The concepts of twentieth-century psychoanalysts fit perfectly into the overall picture of postmodernism, deconstructing the classical understanding of death in Christian philosophical thought.
Historical and Philosophical Premises of the Modern Educational Process Methodology
Authors:   t, Baltic State Technical University VOENMEKH named after D. F. Ustinov, Lapteva A.V. , Khomeleva R.A. ,   Saint Petersburg State University of Aerospace Instrumentation
Published: January 2025

Introduction. Understanding of the educational and pedagogical process has always played a significant role in the history of philosophical teachings. Thinkers of different directions addressed the issues of education, formulating valuable ideas that remained relevant in the current realities of modern education focused on new information technologies. The purpose of the article is to identify the advantages and disadvantages of digitalization of education in comparison with traditional approaches. Content. An important tool for comparing traditions and innovations in educational strategies is an analytical review of the history of philosophical thought on education. Some modern forms or types of the educational process, although they provide access to learning, are often focused on the descriptive nature of information, which detracts from the importance of the emotional and spiritual sphere of a person, especially in the humanities. Digitalization of education can limit the opportunities of students and deprive them of a lively dialogue and personal involvement. The world heritage of educational problems demonstrates that some ideas and methods developed in ancient times remain relevant in modern conditions. Ancient philosophy recognized the value of education as a tool for the formation of citizens, and emphasized wisdom and virtue. Al-Farabi emphasized the importance of guiding a person to perfection through education, Confucius emphasized the need to develop strong moral qualities in every person. The philosophy of the East, including Buddhist thought, attaches value to wisdom and inner development, emphasizing harmony and balance in life. The importance of lifelong learning and integration into society are emphasized as key aspects of education.

Conclusions. The study of views on education in the history of philosophical thought shows that the main goals included the development of moral values, the formation of a civic position, the development of intellectual abilities, preparation for professional activity and the transfer of cultural heritage. These goals remain relevant today. Modern digitalization of education brings new opportunities and challenges. It is important not only to use the latest technologies, but also to preserve the values and goals of education that have been formed over many centuries. The development of education must be balanced with the preservation of the fundamental humanities, which are the basis for the sustainable development of a civilized society.
Expanding the BASIL CURE
Authors: Koeppe Julia R. , Dattelbaum Jonathan D. , Hall Bonnie L. , Mills Stephen A. , Offerdahl Erika G. , Pikaart Michael J. , Roberts Rebecca , Sikora Arthur , Craig Paul A.
Published: January 2025

In the Biochemistry Authentic Scientific Inquiry Lab (BASIL) course-based undergraduate research experience, students use a series of computational (sequence and structure comparison, docking) and wet lab (protein expression, purification, and concentration; sodium dodecyl sulfate-polyacrylamide gel electrophoresis [SDS-PAGE]; enzyme activity and kinetics) modules to predict and test the function of protein structures of unknown function found in the Protein Data Bank and UniProt. BASIL was established in 2015 with a core of 10 faculty members on six campuses, with the support of an educational researcher and doctoral student on a seventh campus. Since that time, the number of participating faculty members and campuses has grown, and we have adapted our curriculum to improve access for all who are interested. We have also expanded our curriculum to include new developments that are appearing in computational approaches to life science research. In this article, we provide a history of BASIL, explain our current approach, describe how we have addressed challenges that have appeared, and describe our curriculum development pipeline and our plans for moving forward in a sustainable and equitable fashion.
Turismo científico: alternativa para la diversificación turística y la socialización del conocimiento científico en la provincia del Chubut. Argentina
Authors:   , Abbondio Federico Gabriel
Published: January 2025

El turismo científico es una actividad en crecimiento a escala global y representó una alternativa turística segura y adaptable a las restricciones sociales de la reciente pandemia. En Argentina el crecimiento de esta tipología turística ha comenzado a evidenciarse a través de su inclusión en el sector científico y académico, en la función pública y en el sector turístico convencional incluyendo al sector privado y a organizaciones de la sociedad civil. Actualmente es considerado un vector y/o tema estratégico a abordar por diversas jurisdicciones, siendo Chubut la primera provincia del país que lo determinó como un núcleo productivo estratégico provincial. Este tipo de turismo se encuadra dentro del turismo alternativo y de intereses especiales, y se relaciona estrechamente con el desarrollo local, sostenible y posfordista. Entre otros aspectos, propone conjugar ciencia, turismo-recreación y comunicación pública de la ciencia aportando una manera diferente para conocer el territorio y su patrimonio. La presente investigación se propuso avanzar, mediante un estudio de índole aplicada y con fuerte impronta de vinculación tecnológica, sobre probables líneas de desarrollo de la actividad, involucrando aspectos de diseño y planificación que incluyeron alternativas para el abordaje de la descentralización y la estacionalidad propia de la actividad turística del Chubut. Para ello, tuvo como objetivo caracterizar y proponer actividades de turismo de intereses especiales asociadas al turismo científico para abordar la diversificación turística y la revaloración del patrimonio provincial y regional. Entre sus objetivos particulares figuran el análisis de la situación turística provincial, el diseño de actividades, el planteo de circuitos turísticos-recreativos físicos y/o virtuales y el fomento de la vinculación tecnológica. La metodología, de tipo mixta, integró un continuo de datos cuantitativos y cualitativos con el fin de brindar respuestas integradas e inclusivas. De alcance exploratorio-descriptivo, las fuentes de información empleadas fueron tanto primarias como secundarias, incluyendo entrevistas, encuestas e investigación participativa y colaborativa, y el uso de Sistemas de Información Geográfica. Las características del turismo científico conllevan a diversidad de abordajes metodológicos y territoriales de corte socio-ambiental, que implicaron la aproximación desde la geografía, así como otras ciencias sociales y/o ambientales. Los resultados y discusiones resaltan las condiciones de la provincia del Chubut para posicionarse en un desarrollo adecuado y sostenible de la actividad generando impactos positivos en términos económicos, socioculturales y ambientales.
Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data
Authors: Nguyen Hoang Thong , Tran Thi Van
Published: January 2025

Nutrient pollution, also known as eutrophication, is a severe environmental problem that leads to harmful algal blooms in water bodies and affects water supplies for human use. This study aims to determine the trophic state of the reservoir based on the trophic state index (TSI) calculated from ground monitoring data of Secchi depth (SD), total phosphorus (TP), and chlorophyll-a (Chl-a) obtained from 35 points in 2 survey periods during the late rainy season to early dry season 2012–2013 and May 2023. In addition, we combined remote sensing data to spatially estimate the eutrophication situation across the reservoir through correlation analysis and determine the best regression models. The results of correlation analysis between ground monitoring values and spectral values from remote sensing algorithms showed that the two parameters, SD and TP, correlated best with the NIR/BLUE algorithm. In contrast, the Chl-a parameter correlated best with the NIR/RED algorithm. From there, we mapped the spatial distribution of parameters and trophic state according to TSI in the entire Dau Tieng Reservoir based on the spectral values from remote sensing algorithms and regression models. Analysis results showed that, as of May 2023, the Dau Tieng Reservoir showed signs of eutrophication in most areas; some areas also showed signs of hyper-eutrophication, causing the risk of harmful algal blooms. The results achieved in this study will be a valuable source of consultation, supporting environmental management to minimize nutrient pollution in the Dau Tieng Reservoir water source.
Pengaruh substitusi terigu dengan kacang tunggak (Vigna unguiculata L.) dan ikan gabus (Channa striata) terhadap elastisitas dan warna MP-ASI mie basah
Authors: Nur Adistiya Tiara , Aprilia Veriani , Ariftiyana Siska
Published: January 2025

Optimal growth and development in the first thousand days of life (1000 HPK) can be achieved by starting complementary feeding (CF) for infants aged 6-23 months to fulfill nutritional needs and prevent nutritional disorders such as stunting. CF noodle products with local food substitutions are cowpea and snakehead fish which are high in protein, soft textured, and without chemical additives for children aged 12-23 months. This study aimed to determine the effect of wheat substitution with cowpea and snakehead fish on the physical properties (water absorption, elasticity, color) in wet noodle CF. This research used a completely randomized design (CRD) with 4 treatments namely F0 (0%), F1 (20%), F2 (40%), F3 (60%). The parameters analyzed included physical properties of water absorption, elasticity, and color properties (L, a, b). Data were analyzed using One Way ANOVA test and Duncan's Multiple Range Test (DMRT) to know the differences in all samples. Statistical test results indicated a significant effect of substituting wheat with cowpea on elasticity and color (L*, a*, b*). The more composite flour added, the elasticity of the wet noodles decreased, and the L* (brightness) tended to be darker, the a* (redness) greener, and the b* (yellowness) yellower. Meanwhile, there was no significant effect on the water absorption of wet noodle CF. Increased substitution of cowpea and snakehead fish flour affected elasticity and color (L* darker, a* greener, b* yellower), although there was no significant effect on the water absorption of wet noodles.