bluuebunny/crossref_metadata_2025 huggingface dataset:
DNA Methylation Inhibition Reversibly Impairs the Long-Term Context Memory Maintenance in Helix
Authors: Zuzina Alena B. , Vinarskaya Aliya Kh. , Balaban Pavel M.
Published: September 2023

This work aims to study the epigenetic mechanisms of regulating long-term context memory in the gastropod mollusk: Helix. We have shown that RG108, an inhibitor of DNA methyltransferase (DNMT), impaired long-term context memory in snails, and this impairment can be reversed within a limited time window: no more than 48 h. Research on the mechanisms through which the long-term context memory impaired by DNMT inhibition could be reinstated demonstrated that this effect depends on several biochemical mechanisms: nitric oxide synthesis, protein synthesis, and activity of the serotonergic system. Memory recovery did not occur if at least one of these mechanisms was impaired. The need for the joint synergic activity of several biochemical systems for a successful memory rescue confirms the assumption that the memory recovery process depends on the process of active reconsolidation, and is not simply a passive weakening of the effect of RG108 over time. Finally, we showed that the reactivation of the impaired memory by RG108, followed by administration of histone deacetylase inhibitor sodium butyrate, led to memory recovery only within a narrow time window: no more than 48 h after memory disruption.
Differential Regulations of Antioxidant Metabolism and Cold-Responsive Genes in Three Bermudagrass Genotypes under Chilling and Freezing Stress
Authors: Li Zhou , Huang Cheng , Han Liebao
Published: September 2023

As a typical warm-season grass, bermudagrass growth and turf quality begin to decrease when the environmental temperature drops below 20 °C. The current study investigated the differential responses of three bermudagrass genotypes to chilling stress (8/4 °C) for 15 days and then freezing stress (2/−2 °C) for 2 days. The three genotypes exhibited significant variation in chilling and freezing tolerance, and Chuannong-3, common bermudagrass 001, and Tifdwarf were ranked as cold-tolerant, -intermediate, and -sensitive genotypes based on evaluations of chlorophyll content, the photochemical efficiency of photosystem II, oxidative damage, and cell membrane stability, respectively. Chuannong-3 achieved better tolerance through enhancing the antioxidant defense system to stabilize cell membrane and reactive oxygen species homeostasis after being subjected to chilling and freezing stresses. Chuannong-3 also downregulated the ethylene signaling pathway by improving CdCTR1 expression and suppressing the transcript levels of CdEIN3-1 and CdEIN3-2; however, it upregulated the hydrogen sulfide signaling pathway via an increase in CdISCS expression under cold stress. In addition, the molecular basis of cold tolerance could be associated with the mediation of key genes in the heat shock pathway (CdHSFA-2b, CdHSBP-1, CdHSP22, and CdHSP40) and the CdOSMOTIN in Chuannong-3 because the accumulation of stress-defensive proteins, including heat shock proteins and osmotin, plays a positive role in osmoprotection, osmotic adjustment, or the repair of denatured proteins as molecular chaperones under cold stress. The current findings give an insight into the physiological and molecular mechanisms of cold tolerance in the new cultivar Chuannong-3, which provides valuable information for turfgrass breeders and practitioners.
Epstein–Barr Virus Promotes Oral Squamous Cell Carcinoma Stemness through the Warburg Effect
Authors: Heawchaiyaphum Chukkris , Yoshiyama Hironori , Iizasa Hisashi , Burassakarn Ati , Tumurgan Zolzaya , Ekalaksananan Tipaya , Pientong Chamsai
Published: September 2023

Epstein–Barr virus (EBV) is associated with various human malignancies. An association between EBV infection and oral squamous cell carcinoma (OSCC) has recently been reported. We established EBV-positive OSCC cells and demonstrated that EBV infection promoted OSCC progression. However, the mechanisms by which EBV promotes OSCC progression remain poorly understood. Therefore, we performed metabolic analyses of EBV-positive OSCC cells and established a xenograft model to investigate the viral contribution to OSCC progression. Here, we demonstrated that EBV infection induced mitochondrial stress by reducing the number of mitochondrial DNA (mtDNA) copies. Microarray data from EBV-positive OSCC cells showed altered expression of glycolysis-related genes, particularly the upregulation of key genes involved in the Warburg effect, including LDHA, GLUT1, and PDK1. Furthermore, lactate production and LDH activity were elevated in EBV-positive OSCC cells. EBV infection significantly upregulated the expression levels of cancer stem cell (CSC) markers such as CD44 and CD133 in the xenograft model. In this model, tumor growth was significantly increased in EBV-positive SCC25 cells compared with that in uninfected cells. Furthermore, tumorigenicity increased after serial passages of EBV-positive SCC25 tumors. This study revealed the oncogenic role of EBV in OSCC progression by inducing the Warburg effect and cancer stemness.
Identification of P450 Candidates Associated with the Biosynthesis of Physalin-Class Compounds in Physalis angulata
Authors: Hua Congkun , Xu Zhengqin , Tang Nan , Xu Yehan , Zhang Yansheng , Li Changfu
Published: September 2023

The Physalis genus has long been used as traditional medicine in the treatment of various diseases. Physalins, the characteristic class of compounds in this genus, are major bioactive constituents. To date, the biogenesis of physalins remains largely unknown, except for the recently established knowledge that 24-methyldesmosterol is a precursor of physalin. To identify the genes encoding P450s that are putatively involved in converting 24-methyldesmosterol to physalins, a total of 306 P450-encoding unigenes were retrieved from our recently constructed P. angulata transcriptome. Extensive phylogenetic analysis proposed 21 P450s that might participate in physalin biosynthesis. To validate the candidates, we developed a virus-induced gene silencing (VIGS) system for P. angulata, and four P450 candidates were selected for the VIGS experiments. The reduction in the transcripts of the four P450 candidates by VIGS all led to decreased levels of physalin-class compounds in the P. angulata leaves. Thus, this study provides a number of P450 candidates that are likely associated with the biosynthesis of physalin-class compounds, forming a strong basis to reveal the unknown physalin biosynthetic pathway in the future.
Characterization of the Pyrroloquinoline Quinone Producing Rhodopseudomonas palustris as a Plant Growth-Promoting Bacterium under Photoautotrophic and Photoheterotrophic Culture Conditions
Authors: Lo Shou-Chen , Tsai Shang-Yieng , Chang Wei-Hsiang , Wu I-Chen , Sou Nga-Lai , Hung Shih-Hsun Walter , Chiang En-Pei Isabel , Huang Chieh-Chen
Published: September 2023

Rhodopseudomonas palustris is a purple non-sulfide bacterium (PNSB), and some strains have been proven to promote plant growth. However, the mechanism underlying the effect of these PNSBs remains limited. Based on genetic information, R. palustris possesses the ability to produce pyrroloquinoline quinone (PQQ). PQQ is known to play a crucial role in stimulating plant growth, facilitating phosphorous solubilization, and acting as a reactive oxygen species scavenger. However, it is still uncertain whether growth conditions influence R. palustris’s production of PQQ and other characteristics. In the present study, it was found that R. palustris exhibited a higher expression of genes related to PQQ synthesis under autotrophic culture conditions as compared to acetate culture conditions. Moreover, similar patterns were observed for phosphorous solubilization and siderophore activity, both of which are recognized to contribute to plant-growth benefits. However, these PNSB culture conditions did not show differences in Arabidopsis growth experiments, indicating that there may be other factors influencing plant growth in addition to PQQ content. Furthermore, the endophytic bacterial strains isolated from Arabidopsis exhibited differences according to the PNSB culture conditions. These findings imply that, depending on the PNSB’s growing conditions, it may interact with various soil bacteria and facilitate their infiltration into plants.
Natural vs Synthetic Polymers: How Do They Communicate with Cells for Skin Regeneration—A Review
Authors: Elango Jeevithan , Zamora-Ledezma Camilo , Maté-Sánchez de Val José
Published: September 2023

Modern research has evolved several approaches toward skin regeneration and one of the novel concerns is the use of polymer-based systems due to their excellent beneficial properties to the skin. Several polymers, such as cellulose, hyaluronan, alginate, chitosan, collagen, fibrin and fibroin, have been tested and have proven the benefits for skin regeneration, and most of them are derived from either polysaccharide- or protein-based materials. In order to understand the mode of action, several researchers investigated the cell–matrix interaction and possible signaling mechanism in skin regeneration. Not only the signaling mechanism but also the mode of cell communication determines the application of polysaccharide- and protein-based polymers in practice. Based on the above significance, this review disclosed the recent findings to compile a possible method of communication between cells and polymers derived from polysaccharide-based (such as cellulose, hyaluronan, chitosan, alginate, agar, and xanthan gum) and protein-based (such as collagen, gelatin, fibrin, and silk fibroin) materials along with other polymers, such as poly(vinyl alcohol), polyglycolide or poly(glycolic acid), or poly(lactic acid) in skin regeneration. Accordingly, this review addresses the fundamental concept of cell–matrix communication, which helps us to understand the basis of the polymer’s functions in the biomedical field.
Analysis of Ballistic Impact of 7.62 mm FMJ M80 Rifle Projectile into Twaron/UHMWPE Composite Armor
Authors: Viliš Jindřich , Neumann Vlastimil , Vítek Roman , Zouhar Jan , Pokorný Zdeněk , Marek Milan
Published: September 2023

This article deals with the ballistic impact of the 7.62 mm FMJ M80 rifle projectile into the laminated Twaron/UHMWPE composite armor. The armor composition consisted of composite panels made from Twaron CT 747 para-aramid fabric and ultra-high-molecular-weight Endumax Shield XF33 polyethylene. To analyze the ballistic impact and to verify the resistance of the designed armor according to the NATO AEP 4569 STANAG standard, protection level 1, 7.62 × 51 mm FMJ NATO M80 rifle cartridges with lead projectiles were used in the ballistic experiment. After the projectile impact, the damage failure mechanisms of the composite panels were documented. As part of the evaluation of the experiments, the initial microstructure of the composite panels was documented, and subsequently, the damaged areas of the composite armor after the ballistic experiment were also documented. Optical and scanning electron microscopy were used to document the structures. The important parameter of composite armor is its mechanical properties. The surface hardness of the composite panels was measured by the Shore D method using the hardness tester DIGI-Test II. The results obtained from the ballistic experiment demonstrate that the designed Twaron/Endumax armor was not penetrated. This armor has sustained multiple impacts for all three 7.62 mm FMJ M80 projectiles and is suitable for the construction of armor protection.
Development of a Novel Fuzzy Hierarchical Location-Routing Optimization Model Considering Reliability
Authors: Ghahremani-Nahr Javid , Nozari Hamed , Rahmaty Maryam , Zeraati Foukolaei Parvaneh , Sherejsharifi Azita
Published: September 2023

Background: This paper discusses the optimization of a novel fuzzy hierarchical location-routing problem, taking into consideration reliability. The mathematical model presented aims to determine the optimal locations of production centers and warehouses, as well as the optimal routing of vehicles, in order to minimize total costs. Methods: Because of the uncertainty surrounding the demand and transportation cost parameters, a fuzzy programming method was employed to control the model. To solve the mathematical model, both GA and PSO algorithms were used. Results: The results show that as the uncertainty rate increases, the total costs also increase. Additionally, the results indicate that the maximum relative difference percentage between the solutions of the GA and PSO, and the optimal solutions are 0.587 and 0.792, respectively. On the other hand, analysis of numerical examples demonstrates that the Baron Solver is unable to solve large-scale numerical examples. Conclusions: By comparing the results of GA and PSO, it is observed that PSO was able to solve numerical examples in less time than GA, while GA obtained better results than PSO. Therefore, the TOPSIS method was used to rank the different solution methods, which resulted in GA being recognized as an effective algorithm with a utility weight of 0.972.
Unmet Needs of Australians in Endometriosis Research: A Qualitative Study of Research Priorities, Drivers, and Barriers to Participation in People with Endometriosis
Authors: Giese Nora , Gilbert Emilee , Hawkey Alexandra , Armour Mike
Published: September 2023

Background and Objectives: Endometriosis causes significant personal and societal burden. Despite this, research funding lags behind other chronic conditions. Determining where to prioritise these limited funds is therefore vital. Research priorities may also differ between individuals with endometriosis and clinicians/researchers. The aim of this research project is to explore research priorities and factors shaping participation in endometriosis research from the perspective of people with endometriosis in Australia. Materials and Methods: Four focus groups involving 30 people with endometriosis were conducted and analysed using qualitative inductive content analysis. Results: Two categories were developed from the data: unmet research needs and motivators and barriers to participation in endometriosis research. Participants expressed interest in developing non-invasive diagnostic tools and a more multidisciplinary or holistic approach to treatment. Participants urgently desired research on treatment options for symptom management, with many prioritising non-hormonal treatments, including medicinal cannabis and complementary medicine. Others prioritised research on the causes of endometriosis over research on treatments to assist with prevention and eventual cure of the disease. The main drivers for participating in endometriosis research were hope for symptom improvement and a reduction in time to diagnosis. Research design features that were important in supporting participation included ease of access to testing centres (e.g., for blood tests) and sharing test results and automated data collection reminders, with simple stra-tegies to record data measurements. Research incentives for younger people with endometriosis and a broad dissemination of information about research projects was considered likely to increase participant numbers. Barriers included time commitments, a lack of flexibility around research appointments for data collection, travel or work commitments, concerns about the safety of some products, and trying to conceive a child. Conclusions: People with endometriosis were open to participating in research they felt aligned with their needs, with a significant focus on diagnostic tools and symptom relief. However, researchers must co-design approaches to ensure convenience and flexibility for research participation.
The Vices and Virtues of Instrumentalized Knowledge
Authors: Siegmann Job , Grayot James
Published: September 2023

This article starts by defining instrumentalized knowledge (IK) as the practice of selectively valuing some set of reliable beliefs for the promotion of a more generally false or unreliable worldview. IK is typically exploited by conspiratorial echo chambers, which display systematic distrust and opposition towards mainstream epistemic authorities. We argue that IK is problematic in that it violates core epistemic virtues, and this gives rise to clear and present harms when abused by said echo chambers. Yet, we contend, mainstream epistemic authorities (MEAs) are also complicit in practices resembling IK; we refer to these practices as instrumentalized knowledge* (IK*). IK* differs from IK in that the selective valuing of beliefs corresponds to a ”reliable” worldview, namely, one independently verified by the relevant epistemic experts. We argue that IK*, despite its apparent veracity, is also problematic, as it violates the same epistemic virtues as IK despite its aim of promoting true beliefs. This, we argue, leads it to being counterproductive in its goal of producing knowledge for the sake of the pursuit of truth, thereby raising the question of what distinguishes virtuous from nonvirtuous practices of instrumentalized knowledge. In an attempt to avoid this violation and to distinguish IK* from IK, we investigate whether and how IK* could still be epistemically virtuous. We conclude that IK* can be virtuous if its goal is to produce understanding as opposed to mere knowledge.
Design of Acoustic Signal for Positioning of Smart Devices
Authors: Hromadova Veronika , Brida Peter , Machaj Juraj
Published: September 2023

This paper addresses the limitations of using smartphones in innovative localization systems based on audio signal processing, particularly in the frequency range of 18–22 kHz, due to the lack of technical specifications and noise characterization. We present a comprehensive study on signal design and performance analysis for acoustic communication in air ducts, focusing on signal propagation in indoor environments considering room acoustics and signal behavior. The research aims to determine optimal parameters, including the frequency band, signal types, signal length, pause duration, and sampling frequency, for the efficient transmission and reception of acoustic signals for commercial off-the-shelf (COST) devices. Factors like inter-symbol interference (ISI) and multiple access interference (MAI) that affect signal detection accuracy are considered. The measurements help define the frequency spectrum for common devices like smartphones, speakers, and sound cards. We propose a custom signal with specific properties and reasons for their selection, setting the signal length at 50 ms and a pause time of 5 ms to minimize overlap and interference between consecutive signals. The sampling rate is fixed at 48 kHz to maintain the required resolution for distinguishing individual signals in correlation-based signal processing.
Collaborative Perception—The Missing Piece in Realizing Fully Autonomous Driving
Authors: Malik Sumbal , Khan Muhammad Jalal , Khan Manzoor Ahmed , El-Sayed Hesham
Published: September 2023

Environment perception plays a crucial role in enabling collaborative driving automation, which is considered to be the ground-breaking solution to tackling the safety, mobility, and sustainability challenges of contemporary transportation systems. Despite the fact that computer vision for object perception is undergoing an extraordinary evolution, single-vehicle systems’ constrained receptive fields and inherent physical occlusion make it difficult for state-of-the-art perception techniques to cope with complex real-world traffic settings. Collaborative perception (CP) based on various geographically separated perception nodes was developed to break the perception bottleneck for driving automation. CP leverages vehicle-to-vehicle and vehicle-to-infrastructure communication to enable vehicles and infrastructure to combine and share information to comprehend the surrounding environment beyond the line of sight and field of view to enhance perception accuracy, lower latency, and remove perception blind spots. In this article, we highlight the need for an evolved version of the collaborative perception that should address the challenges hindering the realization of level 5 AD use cases by comprehensively studying the transition from classical perception to collaborative perception. In particular, we discuss and review perception creation at two different levels: vehicle and infrastructure. Furthermore, we also study the communication technologies and three different collaborative perception message-sharing models, their comparison analyzing the trade-off between the accuracy of the transmitted data and the communication bandwidth used for data transmission, and the challenges therein. Finally, we discuss a range of crucial challenges and future directions of collaborative perception that need to be addressed before a higher level of autonomy hits the roads.
Constrained DRL for Energy Efficiency Optimization in RSMA-Based Integrated Satellite Terrestrial Network
Authors: Zhang Qingmiao , Zhu Lidong , Chen Yanyan , Jiang Shan
Published: September 2023

To accommodate the requirements of extensive coverage and ubiquitous connectivity in 6G communications, satellite plays a more significant role in it. As users and devices explosively grow, new multiple access technologies are called for. Among the new candidates, rate splitting multiple access (RSMA) shows great potential. Since satellites are power-limited, we investigate the energy-efficient resource allocation in the integrated satellite terrestrial network (ISTN)-adopting RSMA scheme in this paper. However, this non-convex problem is challenging to solve using conventional model-based methods. Because this optimization task has a quality of service (QoS) requirement and continuous action/state space, we propose to use constrained soft actor-critic (SAC) to tackle it. This policy-gradient algorithm incorporates the Lagrangian relaxation technique to convert the original constrained problem into a penalized unconstrained one. The reward is maximized while the requirements are satisfied. Moreover, the learning process is time-consuming and unnecessary when little changes in the network. So, an on–off mechanism is introduced to avoid this situation. By calculating the difference between the current state and the last one, the system will decide to learn a new action or take the last one. The simulation results show that the proposed algorithm can outperform other benchmark algorithms in terms of energy efficiency while satisfying the QoS constraint. In addition, the time consumption is lowered because of the on–off design.
Wideband Interference Cancellation System Based on a Fast and Robust LMS Algorithm
Authors: Lu Qiaran , Qin Huanding , He Fangmin , Zhang Yunshuo , Wang Qing , Meng Jin
Published: September 2023

The interference cancellation ratio (ICR) is a key performance indicator of digital-to-analog hybrid radio frequency (RF) interference cancellation systems. Aiming at the low convergence speed of a digital-to-analog hybrid RF interference cancellation system based on a multi-tap structure (MDARFICS), a novel, fast, and robust variable-step-size least-mean-square (LMS) algorithm based on an improved hyperbolic tangent function (IHVSS-LMS) is proposed. The IHVSS-LMS algorithm adopts an improved hyperbolic tangent function and uses adjustable parameters and the iteration number to jointly adjust the step size, which improves the convergence speed and reduces the computational complexity. Moreover, by using the prior information of the input signal, the non-linear relationship between the step size and the input signal power is established, which enhances the robustness and the ability to suppress interference with mutable power. The IHVSS-LMS algorithm is applied to the MDARFICS. Through theoretical derivation, the convergence speed and the steady-state expressions of the interference cancellation ratio of the MDARFICS are obtained. The simulation results show that under the conditions of high and low signal-to-noise ratio (SNR), the robustness, convergence speed, and steady-state error performance of the IHVSS-LMS algorithm are better than the existing variable-step-size algorithm. The experimental results show that using the IHVSS-LMS algorithm, the MDARFICS can not only effectively accelerate the convergence speed by at least three times but can also improve the ICR by more than 3 dB.
Cortical Response Variation with Social and Non-Social Affective Touch Processing in the Glabrous and Hairy Skin of the Leg: A Pilot fMRI Study
Authors: Mayorova Larisa , Portnova Galina , Skorokhodov Ivan
Published: September 2023

Despite the crucial role of touch in social development and its importance for social interactions, there has been very little functional magnetic resonance imaging (fMRI) research on brain mechanisms underlying social touch processing. Moreover, there has been very little research on the perception of social touch in the lower extremities in humans, even though this information could expand our understanding of the mechanisms of the c-tactile system. Here, variations in the neural response to stimulation by social and non-social affective leg touch were investigated using fMRI. Participants were subjected to slow a (at 3–5 cm/s) stroking social touch (hand, skin-to-skin) and a non-social touch (peacock feather) to the hairy skin of the shin and to the glabrous skin of the foot sole. Stimulation of the glabrous skin of the foot sole, regardless of the type of stimulus, elicited a much more widespread cortical response, including structures such as the medial segment of precentral gyri, left precentral gyrus, bilateral putamen, anterior insula, left postcentral gyrus, right thalamus, and pallidum. Stimulation of the hairy skin of the shin elicited a relatively greater response in the left middle cingulate gyrus, left angular gyrus, left frontal eye field, bilateral anterior prefrontal cortex, and left frontal pole. Activation of brain structures, some of which belong to the “social brain”—the pre- and postcentral gyri bilaterally, superior and middle occipital gyri bilaterally, left middle and superior temporal gyri, right anterior cingulate gyrus and caudate, left middle and inferior frontal gyri, and left lateral ventricle area, was associated with the perception of non-social stimuli in the leg. The left medial segment of pre- and postcentral gyri, left postcentral gyrus and precuneus, bilateral parietal operculum, right planum temporale, left central operculum, and left thalamus proper showed greater activation for social tactile touch. There are regions in the cerebral cortex that responded specifically to hand and feather touch in the foot sole region. These areas included the posterior insula, precentral gyrus; putamen, pallidum and anterior insula; superior parietal cortex; transverse temporal gyrus and parietal operculum, supramarginal gyrus and planum temporale. Subjective assessment of stimulus ticklishness was related to activation of the left cuneal region. Our results make some contribution to understanding the physiology of the perception of social and non-social tactile stimuli and the CT system, including its evolution, and they have clinical impact in terms of environmental enrichment.
Molecular Simulations of the Gas Diffusion through the Two-Dimensional Graphyne Membrane
Authors: Jin Dongliang , Zhang Tao , Guo Meng , Wu Nanhua , Zhong Jing
Published: September 2023

Owing to the unified and tunable pore size, two-dimensional graphyne membranes show excellent performance in the realm of gas transport and separations. The impacts of environmental conditions on the pore size of a porous membrane are ignored in previous studies. Using molecular modeling techniques, we here probe the accessible pore size of the γ-graphyne membrane under various pressure and temperature conditions. First, by assessing the gas permeation through the two-dimensional γ-graphyne membrane at a constant temperature, the accessible pore size of this membrane is shown to be proportional to the driving force—the pressure difference between the two sides of the porous membrane. Such a driving force dependence is found to be well described by a simple asymptotic model. Then, by determining such pressure dependence at two different temperatures, temperature is found to show a weak influence on the accessible pore size. Finally, by considering the binary mixed gases of various mole fractions, the accessible pore size measured using one of the two species is shown to be dependent on its partial pressure difference. These findings for the accessible pore size, which highlight the tunable pore size by altering the driving force, can be expected to provide a practical strategy to rationalize/refine the pore size of the porous membrane for gas transport and separations, especially for two molecules with similar diameters.
Sustainable Development Adoption in the High-Tech Sector: A Focus on Ecosystem Players and Their Influence
Authors: Lee Young-Chan , Dervishi Idlir , Mousa Saeed , Safiullin Kamil I. , Ruban-Lazareva Natalia V. , Kosov Mikhail E. , Ponkratov Vadim V. , Pozdnyaev Andrey S. , Mikhina Elena V. , Elyakova Izabella D.
Published: September 2023

In an era marked by increasing concerns about environmental sustainability, the telecommunications industry faces a pressing need to examine its commitment to sustainable development practices. Therefore, this study investigated the drivers and constraints influencing the adoption of such practices within the industry, with particular emphasis on the roles and interactions of ecosystem players. The research employed structural equation modeling (SEM) in AMOS to test the hypotheses and multilayer perceptron (MLP), which is an artificial neural network model, to assess the importance of each variable in the context of sustainable development adoption (SDA). This study analyzed data obtained from a diverse sample of telecommunications professionals, including telecom operators, device manufacturers, technology providers, and content and service providers. The findings reveal that stakeholder expectations held the highest normalized importance, suggesting their paramount influence in driving sustainable practices within the industry. Competitive advantage emerged as the second most significant factor, contributing to the adoption of sustainable strategies by companies. Conversely, cost and ROI concerns presented a constraint that potentially hindered SDA. This research contributes to the comprehensive understanding of sustainable development in the high-tech sector, aiding industry practitioners and policymakers in fostering a more sustainable future for the telecommunications industry. The implications derived from the sensitivity analysis provide valuable insights into prioritizing efforts and resources to enhance sustainable development adoption in the telecommunications sector.
A Semi-Discretization Method Based on Finite Difference and Differential Transform Methods to Solve the Time-Fractional Telegraph Equation
Authors: Sahraee Zahra , Arabameri Maryam
Published: September 2023

The telegraph equation is a hyperbolic partial differential equation that has many applications in symmetric and asymmetric problems. In this paper, the solution of the time-fractional telegraph equation is obtained using a hybrid method. The numerical simulation is performed based on a combination of the finite difference and differential transform methods, such that at first, the equation is semi-discretized along the spatial ordinate, and then the resulting system of ordinary differential equations is solved using the fractional differential transform method. This hybrid technique is tested for some prominent linear and nonlinear examples. It is very simple and has a very small computation time; also, the obtained results demonstrate that the exact solutions are exactly symmetric with approximate solutions. The results of our scheme are compared with the two-dimensional differential transform method. The numerical results show that the proposed method is more accurate and effective than the two-dimensional fractional differential transform technique. Also, the implementation process of this method is very simple, so its computer programming is very fast.
Safety of the Administration of an Inactivated PCV2a/PCV2b/Mycoplasma Hyopneumoniae Vaccine to Pregnant and Lactating Sows and Gilts
Authors: Pérez Elena , Venegas-Vargas Cristina , Heinz Andrea , Smutzer Megan , Taylor Lucas P. , Diamondidis Yvette , Mangarova Nevena , Hansen Tara , Angulo José , Bandrick Meggan , Balasch Monica
Published: September 2023

Porcine Circovirus type 2 (PCV2) vaccination of gilts during acclimation has become a routine practice in commercial pig farms to homogenize herd immunity to PCV2 and reduce the impact of diseases associated with PCV2 infection, namely reproductive, respiratory, systemic, and other PCV2-associated diseases. The periodic mass vaccination of sows, with the same objectives, is also common. To ensure mass vaccination is an appropriate health management tool, demonstrating that the vaccine is safe in different sow/gilt physiological stages is necessary. The objective of the present studies was to evaluate safety of a PCV2a/PCV2b/Mycoplasma hyopneumoniae (PCV2a2bMHP) killed vaccine in sows and gilts during gestation and lactation, under controlled experimental pen conditions, and during gestation, mimicking mass vaccination, under field conditions. Safety was assessed by monitoring for immediate adverse reactions after vaccination, rectal temperatures after vaccination (controlled experimental pen studies only), local and systemic reactions, and reproductive performance (studies conducted during pregnancy) or lactation performance (studies conducted during lactation). In total, 416 sows/gilts were enrolled, and more than 4000 piglets were observed during their first week of life, under field conditions. In both controlled experimental and field studies, no immediate anaphylactic type reactions were observed after vaccination and the incidence of adverse events, such as depression or decreased appetite, was acceptable for what is expected in a swine herd. In the studies conducted during gestation, vaccination did not significantly increase rectal temperature of the vaccinated animals. Sow reproductive outcomes were not affected by vaccination. The farrowing rate of animals participating in the field study was higher than the historic averages of the farms. In the laboratory studies conducted during the first and second half of gestation, no differences in reproductive outcome were observed between vaccinated and non-vaccinated animals. However, sows vaccinated during lactation experienced a transient hyperthermia which did not affect milk production since the piglets’ average daily weight gain was not affected. The previously described results confirm that the administration of a PCV2a2bMHP vaccine was safe in the tested conditions. All the anticipated benefits of sow and gilt PCV2 vaccination, such as homogenization of PCV2 antibody titers or reduction in PCV2 circulation in the herd, would not be masked by potential adverse events due to herd vaccination. In conclusion, the administration of a PCV2a2bMHP vaccine to sows and gilts during different stages of gestation and during lactation is safe.
Pengembangan Aplikasi Pengolahan Data Siswa Berbasis Android Menggunakan Metode Prototyping
Authors: Alda Muhamad
Published: September 2023

Tritech Vocational School is one of the vocational high schools that, in the process of storing and processing student data, uses the Microsoft Excel application, so that the processing of student data is still considered less effective and efficient. This is due to the difficulty of distributing student data to those who need it; in addition, student data is only stored on a certain computer device, resulting in a lack of security, completeness, loss, or damage to data because it can be accessed by unauthorized parties and can also result in data loss if the computer device is damaged. The purpose of this research is to create an Android-based application that Tritech Vocational High School can use to process student data and make it easier to distribute student data. Prototyping is the systems development approach used in this study. includes stages of requirement communication, quick planning, quick design modeling, construction of a prototype and deployment, delivery, and feedback, while the system testing method uses the black box testing method. Android applications are built using the Kodular Framework and the Airtable database. Via an Android device and accessible online, the application developed helps Tritech Vocational Schools process student data, such as adding, changing, or deleting, and facilitate the distribution of student data. Processing student data using an Android-based application has higher security than using the Microsoft Excel application because it provides restrictions on access rights.
Analisis Knowledge Management Menggunakan Model Big Data di Media Sosial UMKM
Authors: Yulianti Prima , Fahmy Rahmi , Rahman Hafiz , Rivai Harif Amali
Published: September 2023

Social media overcomes the limitations of technology and knowledge management. Previous generations of knowledge management were very rigid, often leaving companies stuck and overly reliant on outdated or obsolete knowledge. Lack of skills in the use of social media, lack of awareness of the value of knowledge management, availability of time to invest both in the acquisition of digital skills as well as in the creation and duration of content, creates perceived barriers to social media uptake. Through a concise and relevant knowledge management process, and utilizing the use of social media, MSMEs can display and communicate messages, products or services, images, and most importantly uniqueness which is their selling point. The purpose of this study is to conceptualize the use of social media in an effort to improve the performance of MSMEs in terms of the perspective of knowledge management-based human resource management with the model of big data for SME approach. The method used is a relevant literature review from 2018 to 2022. The results show that the importance of using social media and knowledge management through big data has a synergistic relationship. Shows that the use of strategic data, representation of knowledge-guided business planning, is a solution for MSMEs in implementing technology through the construction of new knowledge as a tool to encourage innovation and productivity in order to increase business competitiveness and its impact on MSME performance.
Sistem Antrian Konsultasi Dokter Praktik Menggunakan Single Channel Single Phase Berbasis Website
Authors: Fadilah Fani , Nangi Jumadil , Saputra Rizal Adi
Published: September 2023

In digital era, development of information technology is unavoidable, almost all sectors have utilized  development of information technology to facilitate all human activities, including health agencies. One form of health agency is a clinic. Sometimes in clinics, there is still way to take the queue number manually, thus making queue so long. Based on these problems, queuing system is needed to solve all queuing problems. In this study, used Single Channel Single Phase where Single Channel is service system that has one service, while Single Phase is only having one service station so after receiving service, it can immediately exit queue system. Based on results of the study, conclusions were obtained: The system built has been successfully implemented Single Channel Single Phase method where this success parameter can be seen from system that provides information about the queue that is running so that the waiting time for patients is more efficient. The characteristics of queuing that occur in Mono Valensi clinic with one stage of service show that average queue in system is ± 2 people, average queue is ± 4 people, average waiting time in system is ± 63 minutes, average waiting time in queue is ± 108 minutes.
Optimalisasi Strategi Pemasaran dengan Segmentasi Pelanggan Menggunakan Penerapan K-Means Clustering pada Transaksi Online Retail
Authors: Awalina Eriskiannisa Febrianty Luchia , Rahayu Woro Isti
Published: September 2023

Pemahaman yang baik mengenai pelanggan sangat penting untuk menjalankan bisnis bagi suatu perusahaan. Mengenali dan memahami setiap pelanggan dapat membantu menciptakan komunikasi dalam menyampaikan penawaran produk dengan menyesuaikan kebutuhan dan memberikan layanan yang disesuaikan setiap pelanggan. Namun, dalam mengidentifikasi setiap kebutuhan pelanggan tidak mudah, karena faktanya menganalisis pelanggan adalah area yang sangat luas. Hal ini dapat mencakup berbagai karakteristik dan perilaku pelanggan yang berbeda. Oleh karena itu, diperlukan segmentasi pelanggan untuk mengelompokkan pelanggan berdasarkan perilaku dan karakteristik. Untuk melakukan segmentasi pelanggan berdasarkan data, banyak model dan algoritma telah digunakan, dan dalam penelitian ini, metode clustering menggunakan algoritma K-means menjadi salah satu pilihan yang efektif. Metode ini telah menjadi tren dan banyak digunakan dimana hal tersebut dibuktikan dengan banyak nya jurnal terkait dari rentang tahun 2018 - 2022. Penelitian ini menggunakan pemrograman python untuk proses data mining dan pre-processing yang dilakukan pada data melalui exploratory data analysis untuk memahami informasi dari data yang digunakan sebelum melakukan klasterisasi. Dalam penerapan metode K-means, digunakan metode elbow untuk menentukan jumlah klaster yang optimal. Hasil dari metode elbow menunjukkan bahwa penggunaan 4 klaster adalah pilihan yang tepat dalam kasus ini. Selanjutnya, pemodelan K-means dengan 4 klaster dilakukan menggunakan variabel quantity, unit price, dan customer id, dan menghasilkan 4 klaster yang berbeda dengan karakteristik yang spesifik pada masing-masingnya. dapat diamati bahwa kuantitas dan harga satuan berperan penting dalam mempengaruhi perilaku pelanggan.
Perancangan Ulang Antarmuka Fitur Obrolan pada Aplikasi WhatsApp dengan Metode Design Thinking
Authors: Lailia Sifa Kiamul , Venica Liptia
Published: September 2023

Dalam beberapa tahun terakhir, penggunaan aplikasi WhatsApp semakin meningkat. Namun, dalam penggunaannya masih terdapat beberapa permasalahan yang dialami oleh pengguna, terutama pada fitur obrolan. Fitur obrolan merupakan fitur utama pada aplikasi WhatsApp, dimana pada fitur tersebut penggunanya dapat berkomunikasi dengan orang lain, baik personal maupun grup. Di dalam fitur ini, obrolan grup dengan obrolan personal menyatu di dalam tab yang sama. Hal ini memunculkan beberapa masalah seperti pengguna sering ketinggalan informasi dari grup karena obrolannya tertimbun oleh obrolan pribadi, ada beberapa pengguna yang seringkali salah mengirim pesan ke grup yang seharusnya dikirim ke obrolan pribadinya dikarenakan bercampurnya antara chat pribadi dengan grup dan kesulitan dalam mencari grup. Oleh karena itu, diperlukan improvement untuk fitur obrolan dimana seharusnya chat pribadi dengan grup itu terpisah untuk meminimalisir permasalahan tersebut. Tujuan dari penelitian ini adalah untuk merancang user interface pada fitur obrolan sebagai solusi terhadap permasalahan yang ditemukan. Metode penelitian yang digunakan adalah metode penelitian Design Thinking. Hasil dari penelitian ini adalah berupa desain user interface fitur obrolan yang telah diuji coba oleh pengguna. Evaluasi desain yang dilakukan menggunakan teknik System Usability Scale dengan perolehan skor sebesar 85. Skor tersebut masuk ke dalam kategori EXCELLENT dengan grade scale B yang artinya desain prototype yang telah dibuat dapat diterima baik oleh pengguna dan layak untuk digunakan. Dengan demikian, berdasarkan hasil evaluasi desain prototype yang menjadi ide solusi yang ditawarkan tersebut dapat menyelesaikan permasalahan yang dialami pengguna.
Studi Perbandingan Deteksi Intrusi Jaringan Menggunakan Machine Learning: (Metode SVM dan ANN)
Authors: Tan Tony , Sama Hendi , Wijaya Gautama , Aboagye Osei Enoch
Published: September 2023

Machine Learning berkaitan dengan penggunaan algoritma untuk membuat mesin berfungsi. Algoritma supervised machine learning belajar pada dataset untuk membuat prediksi berdasarkan pengetahuan yang mereka peroleh saat belajar. Machine Learning memiliki dampak signifikan dalam keamanan siber. Sistem deteksi intrusi (IDS), sistem pencegahan intrusi (IPS) dan firewall tradisional membantu mendeteksi intrusi tetapi sayangnya, kebanyakan dari mereka memberi false alarm, dapat memiliki kerentanan dan dapat salah konfigurasi. Penggunaan algoritma machine learning telah terbukti lebih efektif dalam deteksi intrusi. Penelitian ini bertujuan untuk membandingkan efektivitas Algoritma Support Vector Machine (SVM) dan Artificial Neural Network (ANN) untuk intrusi deteksi. Penelitian ini menggunakan metode eksperimen dengan melatih dan menguji SVM dan ANN pada Dataset KDD Cup 99 di Google Colaboratory. Skor akurasi pelatihan dan pengujian, waktu pelatihan dan pengujian, Receiver Operating Characteristic Curve (Kurva ROC) dan kecepatan jaringan adalah parameter untuk perbandingan. Hasil dari eksperimen menunjukkan bahwa; Kedua model bagus untuk mendeteksi intrusi karena SVM dan ANN memiliki skor di atas 90%. SVM lebih efektif daripada ANN dalam deteksi intrusi dengan akurasi pelatihan dan pengujian 99,87% dan 99,81%. Juga AUC untuk SVM adalah 1 untuk semua lima kelas dan mengambil lebih sedikit waktu dalam melatih dataset.
Pengembangan Aplikasi Presensi Mobile Menggunakan Progressive Web App dan Location Based Service
Authors: Sofian Rudy , Ferdiansyah Fahmi Reza , Nugraha Rikky Wisnu , Purwanto Heri , Gustian Robby
Published: September 2023

On The Job Training (OJT) merupakan tahapan akhir dalam seleksi rekrutmen pegawai di PT Ruang Talenta Optima. Dalam OJT, peserta diwajibkan melakukan presensi sehingga dapat dilakukan monitoring oleh mentor dan atasan. Namun, proses monitoring serta pengisian presensi peserta OJT masih menggunakan media spreadsheet sehingga menimbulkan beberapa permasalahan seperti presensi peserta OJT yang tidak akurat karena diisi secara manual dan tidak realtime. Form Monitoring juga masih dapat diakses oleh siapapun yang memiliki link ke spreadsheet sehingga data dapat diedit oleh siapapun. Oleh karena itu, diperlukan perangkat lunak untuk melakukan monitoring serta presensi dalam OJT. Tujuan dari penelitian ini adalah membuat perangkat lunak presensi berbasis mobile dan juga monitoring kehadiran dengan memanfaatkan teknologi Progressive Web App (PWA) agar dapat diakses diberbagai operating system mobile serta Location Based Service (LBS) untuk menandai lokasi presensi. Metode Prototype digunakan dengan tujuan pengembang dan pengguna bisa saling berinteraksi selama proses pembuatan perangkat lunak, sehingga perangkat lunak yang dihasilkan sesuai dengan keinginan dan kebutuhan user. Berdasarkan hasil pengujian perangkat lunak, dapat disimpulkan bahwa pemanfaatan LBS ini dapat membantu dalam membuat presensi peserta OJT menjadi lebih akurat karena adanya pengecekan lokasi presensi, dan pemanfaatan PWA membantu dalam membuat perangkat lunak presensi dapat diakses di berbagai platform.