Additional Output Research Articles

Problem and factor determining the type of seed production (Cereal and Vegetable)

A study was conducted in 2022 in the Syangja and Nawalparasi (Bardaghat Susta East) districts to identify the major problem of seed production and to determine the factors that directly cause impact on the type of seed production (cereals and vegetable). Primary data was collected from 140 cereals and vegetable seed producers, three focus group discussions, and key informant interviews. Among various Participatory Rural Appraisal (PRA) tools, pair-wise ranking was performed to identify the major problem of seed production. The logistic regression model was used to identify factors that directly or indirectly affect in the production of cereal and vegetable seed. In the study area rice, maize and potato seeds were produced in huge amount. The result shows that the production of seed was affected by various factors; among them, the absence of technical support is the most challenging issue, followed by a lack of irrigation infrastructure. The logistic regression model results revealed that the production of cereal seed was determined positively with members of co-operatives, cultivated land, and number of households and negatively but significantly associated with education. There was significant supply-demand imbalance in the seed market. As a result, additional output is required to close the deficit. This seed production issue must be addressed to fulfill the demand of seed and factor affecting during selection of seed production (cereals and vegetable) farmers should select crop for seed production according to the knowledge.

FluxCT V2.0: Updates to a Web Tool Identifying Contaminating Flux in Space Telescope Data

We present FluxCT V2.0, an updated web tool for identifying contaminating flux in Kepler and TESS target pixel files. FluxCT V2.0 focuses on enhancing functionality, user experience, and data processing capabilities. We resolved existing issues to allow for an extended user base, removed known bugs, and extended the tool to any TESS pixel file, allowing the user to search any TESS point object. A batch code for TESS is now available on the companion GitHub. Additional output parameters, such as amplitude dilution and a magnitude cut, have been added to the tool, allowing users more freedom to analyze the possible effects of target sources.

A Change of Pace: Modifying Pacemaker Settings in the Emergency Department as Emergency Medicine Physicians, A Case Report

Background: Pacemakers are implantable or external devices that send electrical impulses allowing the heart to contract. Some common indications for permanent pacemaker placement include symptomatic bradycardia due to high grade atrioventricular (AV) block, sick sinus syndrome, chronic bifascicular block, and post-cardiac transplantation. Like all devices pacemakers can malfunction or stop working entirely. We present a patient with an implantable pacemaker/cardioverter and defibrillator (ICD) displaying symptomatic failure to capture and settings were adjusted in the emergency department. Adjustment in the emergency department (ED) resolved the patient's symptoms and required no further interventions.Case Report: An 82-year-old female with atrial fibrillation, heart failure, and a Medtronic dual chamber pacer/ICD presented to the emergency department for complaints of weakness and lightheadedness. Emergency medical services (EMS) noted intermittent bradycardia, hypotension, and decreased responsiveness. Electrocardiogram (ECG) revealed failure to capture. The Medtronic application was used to interrogate and reprogram the device. The settings were DDD at a rate of 60 beats per minute (BPM) with ventricular output of 4.5 millivolts (mV) and atrial output of 4.5 mV which were changed ventricular lead outputs from 4.5 mV to 8.0 mV and rate from 60 to 80 for additional cardiac output. After this adjustment, the bradycardia resolved, and ECG showed a successful AV-paced rhythm. Transcutaneous pacing was never required.Why should an emergency physician be aware of this?Adjustment of pacer settings in the ED in order to stabilize the critically ill patient is within the scope of the emergency physician. We can reduce stress to the patient and prevent hospitalizations. Pacemakers can become a tool to optimize treatment plans for an aging population where pacemakers are becoming more common.

Evaluating artificial intelligence-driven stress echocardiography analysis system (EASE study): A mixed method study

IntroductionThe use and value of artificial intelligence (AI)-driven tools and techniques are under investigation in detecting coronary artery disease (CAD). EchoGo Pro is a patented AI-driven stress echocardiography analysis system...

Compressor‐Driven Titanium and Magnesium Hydride Systems for Thermal Energy Storage: Thermodynamic Assessment

ABSTRACTMetal hydrides enable excellent thermal energy storage due to their high energy density, extended storage capability, and cost‐effective operation. A metal hydride‐driven storage system couples two reactors that assist in thermochemical storage using cyclic operation. Metal hydride reactors, operating at both low and high temperatures, serve for the storage of hydrogen and thermal energy, respectively. The integration of efficient thermal energy storage technology is known to enhance the efficiency of solar thermal systems. In this regard, during the peak hours of solar energy, the high‐temperature supply heat can be utilized to store hydrogen gas in the low‐temperature reactor, which simultaneously facilitates energy storage in the high‐temperature reactor. Moreover, the temperature and energy released from the reactors are highly dependent on the pressure of the gas. As a result, installing a compressor between the low and high‐temperature metal hydride reactors can help generate additional outputs, such as a cooling effect. This paper conducts a thermodynamic analysis to assess the system's performance, considering parameters such as thermal storage efficiency, coefficient of performance (COP), and COPCCH (combined cooling and heating based COP). Moreover, the performance analysis was carried out for two cases, that is, high‐temperature titanium hydride (TiH2) and magnesium hydride (MgH2). The results show that MgH2 and TiH2 achieve a maximum COPCCH of 1.08 and 0.9, respectively, and system storage efficiency of 76.15% and 74.34%, respectively. In spite of having lower efficiency than MgH2, the TiH2‐based system has the ability to recover heat at a very high temperature.

Energy cost of running uphill as compared to running on the level with impeding horizontal forces.

We have previously shown that accelerated running on flat terrain is biomechanically equivalent to running uphill at a constant speed. This hypothesis was further investigated comparing the energy cost of running at a constant speed either uphill, or on flat terrain against an equivalent horizontal impeding force, mimicking acceleration. Steady-state O2 consumption and the corresponding energy cost (per unit body mass and distance) were determined on 12 male subjects during treadmill running at speeds between 2.11 and 2.89 m/s: (i) on the level, (ii) uphill at 10 or 20% incline ( ), or (iii) on the level against a horizontal traction force of 10 or 20% of the subject's body weight ( ). This allowed us to estimate the net efficiency ( ) of running against horizontal or vertical forces, as given by the ratio between the additional mechanical work output under , or the corresponding condition, and the difference between the appropriate energy cost above that for running at constant speed on flat terrain. The values when running uphill ( ) amount to 0.35-0.40, whereas those for running against an equivalent impeding force ( ) are about 10% greater (0.45-0.50), a fact that may be due to a greater recovery of elastic energy in the as compared to the condition. Making allowance for these small differences, these data support the view of considering accelerated running on flat terrain biomechanically equivalent to running at a constant speed, up an equivalent slope.

A New Approach to Recording Rumination Behavior in Dairy Cows.

Rumination behavior in cattle can provide valuable information for monitoring health status and animal welfare, but continuous monitoring is essential to detect changes in rumination behavior. In a previous study validating the use of a respiration rate sensor equipped with a triaxial accelerometer, the regurgitation process was also clearly visible in the pressure and accelerometer data. The aim of the present study, therefore, was to measure the individual lengths of rumination cycles and to validate whether the sensor data showed the same number of regurgitations as those counted visually (video or direct observation). For this purpose, 19 Holstein Friesian cows equipped with a respiration rate sensor were observed for two years, with a focus on rumination behavior. The results showed a mean duration of 59.27 ± 9.01 s (mean ± SD) per rumination cycle and good agreement (sensitivity: 99.1-100%, specificity: 87.8-95%) between the two methods (sensor and visual observations). However, the frequency of data streaming (continuously or every 30 s) from the sensor to the data storage system strongly influenced the classification performance. In the future, an algorithm and a data cache will be integrated into the sensor to provide rumination time as an additional output.

Carbone-neutral oriented methanol-reforming HT-PEMFC cogeneration based on absorption power refrigeration cycle

Methanol is considered as a promising hydrogen carrier in accelerating the carbon-neutral applications of fuel cell cogeneration. However, the methanol reforming process emits CO2 whose efficient recycling is challenging due to the inevitable power and cooling consumption. To this end, this paper considers the methanol reforming based high-temperature proton exchange membrane fuel cells (HT-PEMFC) cogeneration system, equipped with ammonia absorption power-refrigeration cycle (APRC). The waste heat in the integrated system is utilized for the fuel preheating, evaporation and reforming, driving APRC, and water heating, achieving a cascaded utilization of thermal energy. By building the mathematical models for each subsystem, thermodynamic and economic assessments are investigated. The results confirm that the waste heat of HT-PEMFC is sufficient to drive both methanol reforming and APRC, with additional electricity output from APRC. At a current density of 0.53 A/cm2, the exergy efficiency of the integrated system under the design condition is 0.525 and reaches a maximum value of 0.565 at a reaction temperature of 180 °C and pressure of 1.2 bar. The techno-economic analysis reveals a dynamic payback period of 5.2 years and net present value of 1.14 M$ with a 20-year lifespan of the integrated system.

Steady Output Triboelectric-Electromagnetic Hybrid Generator with Variable Drag Turbine Blades for Natural Wind Energy Harvesting.

In recent years, the triboelectric-electromagnetic hybrid generator (TEHG) has been widely studied. However, the problems of unsteady output and high starting wind speed of traditional TEHG in the wind energy environment have not been effectively solved. This work introduces an innovative solution in the form of a steady output triboelectric-electromagnetic hybrid generator (SO-TEHG) with variable drag turbine blades. The SO-TEHG integrates the energy management circuit to output steady electric energy under random wind conditions. In addition, the integration of variable drag turbine blades with the triboelectric nanogenerator (TENG) reduces the wind speed threshold required for SO-TEHG activation. In comparison to the traditional turbine blades, which necessitate a minimum wind speed of 3 m/s, the SO-TEHG's innovative design allows it to commence power generation at a lower 2 m/s wind speed, producing an additional output of 50 V. This enhanced starting capability in mild breezes positions the SO-TEHG as an ideal power source for applications. In practical farmland settings, experimental results conclusively demonstrate the SO-TEHG's ability to successfully activate soil hygrothermographs and hydrogen sensors. As a steady power source driven by gentle winds, the SO-TEHG holds tremendous promise for advancing smart agriculture.

KELAYAKAN FINANSIAL AGROFORESTRI DAN KEBUTUHAN HIDUP LAYAK PETANI DI DESA LAMBUSANGO KECAMATAN KAPONTORI KABUPATEN BUTON

The increase in population and basic needs has led to an increase in the need for larger agricultural areas and to be cultivated more intensively. Based on this, optimal land processing activities are needed for maximum results to address increasing needs, by implementing an agroforestry system. Agroforestry provides increased harvest intensity which in the end is able to provide additional output, even though the area of ​​cultivated land is very limited. The aim of this research is to determine the financial feasibility of agroforestry and the needs for a decent living in Lambusango Village, Kapontori District, Buton Regency. The population in this study were people who had an agroforestry planting pattern in Lambusango Village, consisting of 25 heads of families (HoF). Thus, the sample size in this study was determined using the census method. The data analysis used is analysis of financial feasibility and decent living needs (DLN). The results of this research indicate that agroforestry activities in Lambusango Village are financially feasible, with the agroforestry pattern that provides the greatest benefits, namely the Agrosilvopostura II pattern with an NPV value of Rp. 121,310,123,- BCR value of 2.74 and IRR value of 9%. Business of agroforestry systems in Lambusango Village with net income of IDR. 10,576,369/year has not been met based on Decent Living Needs (KHL) of IDR 24,000,000/year. Keywords: Agroforestry, Decent Living Feasibility, Financial Feasibility, Lambusango Village

VALUE BASED MANAGEMENT AT KELOMPOK USAHA BERSAMA (KUBE)

Joint Business Group/Kelompok Usaha Bersama (KUBE) is a business scheme launched in 2010 by the Ministry of Social Affairs for underprivileged families who received social assistance from the Family Hope Program (PKH), with the idea that they will no longer depend on social assistance. KUBE has not yet achieved its goals due to low business management capabilities, weak entrepreneurial culture which has resulted low economic empowerment and performance level. This reason as an urgent need for research and development to analyze phenomena and find solutions for better KUBE performance. The aim of the research is to describe and analyze the value based management at KUBE in Bandung City. This research resulted a new findings related to the stages of determining the assumptions and legal basis used, formulating concepts and proving them into the analytical implementation of KUBE. This implementation was supported by the West Java Provincial Social Service Board in the form of providing data, information on the implementation of KUBE and facilitating the presentation of research reports. The method used is a qualitative approach with TKT at level 3. The main research output is publication on Sinta 1 or Sinta 4 and the additional outputs is a book chapter.

LGC-DBP: the method of DNA-binding protein identification based on PSSM and deep learning.

The recognition of DNA Binding Proteins (DBPs) plays a crucial role in understanding biological functions such as replication, transcription, and repair. Although current sequence-based methods have shown some effectiveness, they often fail to fully utilize the potential of deep learning in capturing complex patterns. This study introduces a novel model, LGC-DBP, which integrates Long Short-Term Memory (LSTM), Gated Inception Convolution, and Improved Channel Attention mechanisms to enhance the prediction of DBPs. Initially, the model transforms protein sequences into Position Specific Scoring Matrices (PSSM), then processed through our deep learning framework. Within this framework, Gated Inception Convolution merges the concepts of gating units with the advantages of Graph Convolutional Network (GCN) and Dilated Convolution, significantly surpassing traditional convolution methods. The Improved Channel Attention mechanism substantially enhances the model's responsiveness and accuracy by shifting from a single input to three inputs and integrating three sigmoid functions along with an additional layer output. These innovative combinations have significantly improved model performance, enabling LGC-DBP to recognize and interpret the complex relationships within DBP features more accurately. The evaluation results show that LGC-DBP achieves an accuracy of 88.26% and a Matthews correlation coefficient of 0.701, both surpassing existing methods. These achievements demonstrate the model's strong capability in integrating and analyzing multi-dimensional data and mark a significant advancement over traditional methods by capturing deeper, nonlinear interactions within the data.

Future perspectives of Brazilian beef production: what is the role of Silvopastoral systems?

Against the backdrop of changing production conditions and market requirements, it seems time has come to rethink Brazil’s beef production systems. We analyse the economic and environmental performance of three beef production systems: classic beef production system (CB), and two types of silvopastoral systems: the integrated crop-livestock-forestry system (ICLFS) and the natural regeneration system (NR) in a comparative case study analysis. We find that, though costs of production are the lowest for CB, only the ICLFS and NR case studies are generating long-term profits. While greenhouse gas emissions per kg live weight added are lowest in ICLFS, followed by NR and CB, per hectare (ha) emissions are highest in NR, followed by ICLFS and CB. Considering the system’s carbon removal, NR and potentially ICLFS are sequestering more than releasing. Additionally, the land required to produce beef is lowest in NR, followed by ICLFS and CB. Considering the additional outputs produced by ICLFS and NR, they showcase the potential of multifunctional production systems for future scenarios, where land scarcity puts land-demanding production systems, such as beef, under pressure. The three production systems perform differently depending on the indicators analysed. How they will reply to future challenges depends on the location and the specific environment. Yet, from the analysed systems, CB is the least sustainable, economically and environmentally.

The heterogeneous effects of non-hydro renewable energy and water resources on industrial development of the Yellow river and Yangtze river basins

Exploring the relationship between non-hydro renewable energy (NHRE) and water resources can help achieve high-quality development in China’s industrial sector under the constraints of water conservation. This study investigated the interrelationships and regional heterogeneity of capital, labor, water and NHRE in the industrial sectors of 158 cities in the Yellow River Basin (YRB) and Yangtze River Basin (YZRB) in China using a heterogeneous stochastic frontier model. Based on reconstructed NHRE consumption data, it is found that the NHRE output elasticity (OE) in the NHRE-rich YRB (median value: 0.1) was lower than that in the NHRE-scarce YZRB (0.24), while the water OE in the water-rich YZRB (0.07) was lower than that in the water-scarce YRB (0.09). Classification analysis of infrastructure construction revealed that the energy OE in NHRE outflow regions (0.11) was lower than in NHRE inflow regions (0.28). This study also optimized the allocation of projected NHRE additions in China by 2030 and found that the optimized strategy can generate an additional industrial output of 8.8 × 1011 Yuan and save 8.6 × 107 tons of water compared to existing strategies. The results indicated that a win-win situation of industrial growth and water conservation could be achieved by reallocation of NHRE.

Asymmetric nanofiber photothermal interactive electronic skin with triboelectric autonomous thermal perceptivity

Thermal-perceptive electronic skins (e-skin) represent an important functional interface in wearables and soft robots. Realizing an all-in-one structured nanofiber interactive e-skin with autonomous thermal perceptivity remains challenging. We demonstrated a polyurethane/(polyvinyl pyrrolidone/MXene) (PPM) bilayer nanofiber film with asymmetric structure compactness by continuous and controllable electrospinning, that achieves asymmetric optical transmittance (visible light transparency of 20∼97%, infrared transparency of 5.5∼34.1%) and photothermal actuation response, with a response rate of 0.8 mm−1 s−1 and bending curvature of 2.2 cm−1, as well as additional excellent triboelectric outputs of ∼320 V and ∼5.4 µA. We proposed a “contact-actuation-perception” strategy for instantaneous object temperature sensing based on the PPM, which can actuate under photothermal stimulation to change its contact area with the target objects at different temperatures, producing temperature-dependent distinguishable triboelectric signals for autonomous thermal perception, with sensitivity up to ∼99.6%. This work could inspire a facile strategy to realize asymmetric features in fiber materials, in which the asymmetric optical-thermal-mechanical-electrical coupling mechanism for active perception is expected to promote the development of autonomous interactive e-skins.

Probabilistic Performance-based Fire Design of Structures: A Hazard-Centred and Consequence-Oriented Perspective

Risk-based design and assessment methods are gaining popularity in performance-based structural fire engineering. These methods usually start by defining a set of hazard scenarios to use as analysis inputs. This approach, proven highly effective for other hazard types such as earthquakes, may not be optimal for fire safety design. Indeed, the strong coupling between the fire phenomenon and structural features enables an ad-hoc design variable selection (and/or optimisation) to reduce fire intensity, making fire scenarios additional design outputs. In addition, such a coupling effect implies that fire scenarios maximising consequences are structure specific. Building on these considerations, this paper discusses the limitations that arise at different analysis steps (i.e., fire-scenario and intensity treatment, identifying fire intensity measures, probabilistic fire hazard analysis, developing fire fragility models, and risk calculation) when using conventional risk-based approaches for design purposes. Furthermore, it compares such approaches with a fire safety design methodology (the Consequence-oriented Fire intensity Optimisation, CFO, approach) that addresses the identified limitations. The potential benefits of integrating the two approaches are also discussed. Finally, the fire design of a simplified steel-girder bridge is introduced as an illustrative example, comparing the consequence metrics and design updating strategies resulting from the two approaches.

A molybdenum-disulfide nanocomposite film-based stretchable triboelectric nanogenerator for wearable biomechanical energy harvesting and self-powered human motion monitoring

Triboelectric nanogenerators (TENGs) are receiving significant interest in the wearable electronics industry owing to their distinct ability to capture ambient energy, particularly from human endeavors. Because they can serve as renewable sources of energy and multifunctional sensing devices. Herein, a stretchable TENG (S-TENG) based on micropatterned fabric-coated molybdenum disulfide (MoS2) and an Ecoflex nanocomposite as the electron-acceptor layer is newly developed for harvesting biomechanical energy to power wearable electronics and enable self-powered sensing. Incorporating the MoS2 monolayer in the composite creates microchannels on the surfaces, improving the conductivity of the composite by facilitating ion transport. Moreover, the incorporation of the monolayer provides an additional triboelectric output by increasing the contact area, enhancing the dielectric constant, and modulating the surface charge density. The use of knitted fabric materials enhances the extensibility (230 %) of the composite film. A thorough investigation was conducted to assess the electric output performance, resulting in the attainment of a maximum peak power density of 11 W/m2. This power density is sufficient to provide electricity to a typical electronic equipment with low power consumption. Regarding passive sensing, the suggested S-TENG may be used as a pressure sensor, with a high sensitivity of 17.18 V/kPa. Furthermore, active sensing enables the identification of dynamic movements in the joints of the human body by establishing a relation between gestures and the corresponding electrical signals. This study presents an innovative approach for developing a wearable S-TENG that exhibits dual-mode energy-harvesting and sensing capabilities, including the use in biomedical applications and human-machine systems.

Penguatan Kompetensi Pemanfaatan Media Digital dalam Proses Pembelajaran di SMK Yadika 5 Pondok Aren

During a pandemic like now, a teacher is required to use ICT-based or digital learning media because learning takes place online. Therefore, it is necessary to increase competence in the use of digital media and ICT in the online teaching and learning process. This Community Service activity aims to strengthen competence in the use of digital media in the learning process. The solution offered is to transfer knowledge through Public Speaking training or workshops, creating teaching materials in the form of multimedia videos and managing the School's ICT Website. The output target is to produce increased competency capabilities in the field of digital learning media and management of teaching material websites. Second, produce output in the form of videos of activities and publications in mass media, scientific journals with ISSN and additional output in the form of HAKI.

Quantitative sustainability assessment of plant layouts for mechano-chemical remanufacturing of waste tires into rubber sheets with integrated pyrolysis-distillation

Waste tires are a major contributor to the solid waste stream globally. However, waste tires can be recovered and remanufactured into valuable products, such as rubber sheet, steel, and nylon. This study proposes a novel strategy of incorporating pyrolysis–distillation (P–R) lines into remanufacturing plant layouts for the mechano-chemical remanufacturing of waste tires into sheet rubber to add energy products as an additional output to diversify the profitable product range. A quantitative sustainability assessment was performed to evaluate batch, semi-continuous, and fully continuous P–R reactors with capacities of 5–50 t/day for pyrolysis and 5–20 t/day for distillation, which are integrated to develop 99 pre-design options to remanufacture 15–50 t/day of waste tires into energy products. The pre-designs were optimized quantitatively and reduced into eight alternatives for introduction at specific positions in the plant layouts to increase the capacity of the plant by approximately 40% (to process an extra 180 t/day of waste tires) based on European Union experience in producing energy products from waste tires. Accordingly, yields of energy products of 84,768 L/day of diesel, 63 t/day of charcoal, 27 t/day of waste steel, and 8.1 t/day of raw asphalt.can be obtained, thereby yielding 13.734–34.219 million USD/year profit. Furthermore, a high technical feasibility index of 0.82, very high economic sustainability satisfaction factor of 0.98, very high environmental sustainability satisfaction factor of 0.97, and very high social sustainability satisfaction factor of 0.91 indicate that the proposed remanufacturing process is viable as a quadilateral-bottom-line sustainability strategy.

Water-flow-induced high-efficiency solar vapor generation and electricity collection

The interface photothermal evaporator still face challenges such as unstable operation, low evaporation efficiency, and insufficient energy utilization, particularly in high-concentration saltwater environments. This study proposes integrating a flow-induced power generation device within a photothermal-driven interface water evaporation system to address these issues. By leveraging the negative charge of carbon nanoparticles, a dual-electrode microchannel structure was optimized to establish an in-plane potential difference along the water transport path. The performance of the synchronized evaporation-flow-induced power generation system, with the carbon nanoparticle fabric as the core component, was thoroughly investigated, including its photothermal interface evaporation and power generation capabilities. Additionally, the controllability of the moisture content and water supply rate of the evaporation interface was achieved by adjusting the contact angle between the carbon nanoparticle fabric and bulk water, as well as the width of the water supply non-woven fabric. The synchronized evaporation-power generation system achieved an interface water evaporation rate of 1.44 kg m−2 h−1 and an output power density of 0.3 mW m−2 under 1 sun illumination (at a solar flux of q = 1 kW m−2). This study successfully obtained additional electrical energy output while prioritizing the evaporation rate, providing new insights for maximizing the energy efficiency of interfacial photothermal evaporation systems.