bluuebunny/crossref_metadata_2025 huggingface dataset:
ADAPTIVE RULE BASE FUZZY LOGIC LOAD FREQUENCY CONTROL IN TWO AREA POWER SYSTEM
Authors:   Department of Electrical and Electronics Engineering, Omar Al-Mukhtar University, Al Baida, Libya, A Adrees Maruwan , Faraj Moneer A ,   Department of Electrical and Electronics Engineering, Omar Al-Mukhtar University, Al Baida, Libya, Elmenfy Tawfiq H. ,   Department of Electrical and Electronic Engineering, University of Benghazi, Benghazi, Libya, Ali Shukri ,   Asalam International University, benghazi, Libya
Published: January 2025

: In this paper, the adaptation to rule bases of
the designed fuzzy logic load frequency controller
(ARFLFC) for interconnected two-area power system
load frequency control is designed as a decentralized
controller. The proposed ARFLFC controller has been
designed to damp the frequency and the tie line power
flow oscillations and to track its error to zero at steady
state under a sudden load disturbance in the power
area. The main advantage of the proposed controller is
that it can handle the nonlinearities and uncertainties of
the system. The controller parameters are updated
online, utilizing both the frequency and the tie-line
power deviations as adaptation signals. Time-domain
simulations have been performed using MATALB/
SIMULINK to show the efficiency of the proposed
ARFLFC A bench-mark problem of a two area power
system is used to demonstrate the performance of the
proposed AFLFC controller and to show its superiority
over conventional integral controller. The results
illustrate that, in comparison to integral control, the
proposed AFLFC minimizes the interchanged tie power,
provides effective damping, and minimizes the
overshoot of frequency deviations.
ENHANCING BRAIN MRI QUALITY: FROM NOISE REDUCTION TO IMAGE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORKS
Authors:   Kaja Syamala Sri Lakshmi Ramya Department of Information Technology, Sir C R Reddy College of Engineering, Eluru,, Gopinath Velivela , Harshitha Santosh Kamini Sri ,   Kaja Syamala Sri Lakshmi Ramya Department of Information Technology, Sir C R Reddy College of Engineering, Eluru,, Pavan Chandaluri Sai ,   Kaja Syamala Sri Lakshmi Ramya Department of Information Technology, Sir C R Reddy College of Engineering, Eluru,, Mahesh Daggula ,   Kaja Syamala Sri Lakshmi Ramya Department of Information Technology, Sir C R Reddy College of Engineering, Eluru,, Lakshmi Ramya Kaja Syamala Sri ,   Kaja Syamala Sri Lakshmi Ramya Department of Information Technology, Sir C R Reddy College of Engineering, Eluru,
Published: January 2025

Convolutional Neural Networks (CNNs) excel
in computer-assisted diagnosis, given sufficient
annotated data. However, scarcity and fragmentation of
medical imaging datasets limit model performance.
Generative Adversarial Networks (GANs) address this
challenge by creating realistic additional training images
to complement existing datasets. Although previous
studies explored noise-to-image or image-to-image GANs
separately, the potential synergy of combining both
approaches remains largely unexplored. Here, we
propose a novel two-step GAN-based data augmentation
(DA) method for enhancing brain MRI datasets,
covering both tumor-inclusive and tumor-exclusive
scenarios. Firstly, Progressive Growing of GANs
(PGGANs) generates high-resolution MRI images with
diverse characteristics. Subsequently, Multimodal
UNsupervised Image-to-image Translation (MUNIT)
further refines texture and shape of PGGAN-generated
images, aligning the images closely with real MRI scans.
Our approach significantly improves CNN-based
diagnosis across various medical imaging tasks,
demonstrating its effectiveness with limited and
fragmented datasets.
REAL-TIME HUMAN DETECTION IN LANDSLIDE ZONES USING 5G AND ADVANCED SENSOR NETWORKS
Authors:   Student Ahalia School of Engineering and Technology Palakkad, Kerala, Murali Rohith , P Bhavya ,   Student Ahalia School of Engineering and Technology Palakkad, Kerala, Raeed Mohammed ,   Student Ahalia School of Engineering and Technology Palakkad, Kerala, V Abhijit ,   Asst. Professor ECE Department, Ahalia School of Engineering and Technology, Palakkad, Kerala, R Sandhya ,   Student Ahalia School of Engineering and Technology Palakkad, Kerala, Balamurugan Dr.V ,   HOD, ECE Department, Ahalia School of Engineering and Technology Palakkad, Kerala
Published: January 2025

Landslides are catastrophic natural events
that can lead to significant loss of life, as people often
become trapped under debris or buried beneath the
surface, making traditional rescue efforts extremely
challenging. This project introduces a comprehensive
real-time human detection system specifically
engineered for landslide-affected areas, utilizing the
latest advancements in 5G networks and sensor
technology. The system integrates a variety of advanced
sensors, including motion detectors, infrared cameras,
mobile signal detectors, and Ground Penetrating Radar
(GPR). These sensors work together to continuously
monitor the environment, identifying signs of human
presence such as body movement, heat signatures, and
active communication signals. GPR further aids in
pinpointing the locations of individuals who may be
buried deep underground, providing a detailed
subsurface map for the rescue teams. The high-speed
and low-latency data transmission capabilities of 5G
networks enable the system to process and analyze large
volumes of sensor data in real time, significantly
enhancing the speed and accuracy of victim detection.
By leveraging 5G technology, the proposed solution can
quickly relay critical information to emergency
responders, facilitating prompt and informed decisionmaking. The system is designed to be scalable, making it
deployable across a variety of landslide-prone regions.
Its versatility and reliability position it as a valuable tool for emergency management agencies to improve rescue
response times and minimize casualties during landslide
incidents
WOMEN EMPOWERMENT AND ITS IMPACT ON ECONOMIC DEVELOPMENT
Authors:   Assistant Professor Department of Business Management Punjab College of Technical education, Kaur Ms. Arshdeep
Published: January 2025

There is a two-way relationship between
women empowerment and economic development; on
the one hand development (on its own) can immensely
contribute to bridging the gender gap; on the other hand
woman empowerment can also lead to development.
Does that mean that pulling just one of these two levers
would trigger a virtuous circle? This paper reviews the
literature on either side of the empowermentdevelopment nexus, and argues that the interrelations
are likely to tenuous, and that equality between men and
women may require a policy commitment to equality for
its own sake. In this paper, we examine the complex
relationships between women empowerment and
economic development, arguing that greater rights and
opportunities for women are necessary for sustainable
economic development. Through several case analyses
from a variety of socioeconomic situations, the paper
demonstrates that an increase in productivity and
innovation emanates from women being and having
more access to education, healthcare and labor market
inclusion. The findings reveal countries that invest in
gender equality see faster economic growth and lower
levels of poverty and better social outcomes. “Sadly,
women empowerment is a topic for which there are still
societal barriers in the name of traditions, legal rights,
and accessibility to opportunities for the betterment of
their lives. It outlines calls for systematic policies that
advance gender equity to be at the heart of sustainable
economic development and that investing in women is a
cornerstone investment in the future of the global
economy.
Abating Heat Accrual During Exercise in Microgravity and Implications for Future Long-Term Missions
Authors: Maguire Katherine , Wydotis Margaret , Bollinger Lance , Caruso John
Published: January 2025

INTRODUCTION: Space agencies will embark on manned journeys to Mars on smaller vehicles than those used previously. In-flight exercise on those flights must abate the adverse effects microgravity (μG) has on humans. Due to space constraints on these vehicles, a single exercise device must address multiple fitness needs. Exercise and μG individually cause body heat accrual. During in-flight exercise they conspire to exacerbate heat gain. Given the duration of Mars missions and volume of exercise they entail, excess heat accrual must be addressed.

METHODS: This review presents data on μG, thermoregulation, and exercise. Since their relationships are impacted by other variables, energy balance, body water, and cerebral and vascular physiology are discussed. Data are integrated to acknowledge the challenges long-term missions, and the in-flight exercise that accompanies them, impose on thermoregulation. Strategies to limit heat accrual are discussed.

RESULTS: Current in-flight exercise and hardware will not address heat accrual mitigation or operational performance needs for Mars missions.

DISCUSSION: This review suggests for future missions, crewmembers: 1) consume beverages with high sodium contents; 2) employ palm cooling for conductive heat transfer; and 3) perform plyometric exercise on gravity-independent hardware. Research should continue to evaluate these treatments to abate heat gain in μG.

Maguire K, Wydotis M, Bollinger L, Caruso J. Abating heat accrual during exercise in microgravity and implications for future long-term missions. Aerosp Med Hum Perform. 2025; 96(1):53–61.
Finite Element Analysis of PCCP Curling and Roughness
Authors: Siddique Zahidul , Hossain Mustaque
Published: January 2025

Smoothness specifications for newly built Portland Cement Concrete Pavements (PCCP) in Kansas have evolved over the last two decades through applications and a number of revisions. However, some PCCP sections built under current specifications in the smoothness bonus range experience rapid loss of smoothness with time. Sometimes this happens even before the sections are opened to traffic. It is believed that this loss results from curling due to the temperature differential between the pavement top and bottom surfaces. In this study, threedimensional simulation of curling of PCCP has been presented using a finite element (FE) software, ANSYS. A number of FE models were built to simulate several newly built PCCP sections in Kansas. The sections were modeled as three-layer systems with cement-treated base and lime-treated subgrade. Layer materials were modeled as linear elastic and the properties were obtained from the tests conducted during construction. Pavement layers and steel dowel bars were modeled using 3- dimensional solid (brick) elements. The complex interaction of the slab with the dowel bars was modeled as a contact problem. Regression models were developed for the curling deflection and International Roughness Index (IRI), a roughness statistics resulting from the curled profiles, based on different simulation parameters. The results obtained from the simulations show that the curling deflection and IRI calculated from the deflected slab profiles are affected by the slab thickness, compressive strengths of the concrete slab and base layers, and the temperature differential between the pavement top and bottom surfaces. Both curling deflection and IRI increase with an increase in temperature differential and compressive strength of the stabilized base layer. Higher slab thickness and concrete compressive strength would result in lower curling deflection and IRI values.
Innovative Approach to Pavement Rehabilitation Analysis and Design of Runway (R/W) 15L-33R at George Bush Intercontinental Airport (IAH) in Houston, TX
Authors: Zollinger Corey J. , Zollinger Dan G. , Little D.N. , Godiwalla A.
Published: January 2025

In late 2003, the City of Houston determined Runway (R/W) 15L-33R at George Bush Intercontinental Airport/Houston (IAH) should be rehabilitated in order to provide an additional 20 years of useful life. The City required the Engineering Consultants to provide two possible pavement rehabilitation options one of which to include a PCC overlay or remove and reinstall the keel section. The existing runway was originally constructed under 3 different contracts. The original contract constructed the North 2440 m (sta 0+003 to sta 0+027) in 1968 and consisted of a 200 mm sand-shell sub-base with a 304 mm PCC slab which was later overlaid with a 457 mm PCC partially bonded overlay in 1976. At the same time, a 1220 m extension was added on the south end (sta 0+027 to sta 0+039) which consisted of a 533 mm PCC layer over a 152 mm asphalt treated sub-base. The rehabilitation strategy proposed for this project was developed by using an innovative approach to interlayer stiffness in determining the existing condition of the runway, performing both fatigue and deflection analyses on the existing pavement structure for each section, and finally identifying pavement design criteria to configure each rehabilitation strategy. The fatigue analysis was not elaborate and was determined by the Layered Elastic Airport Pavement Design software (LEDFAA v1.3), taking into account damage by the critical stress imposed by each aircraft included in the runway traffic mix. Since LEDFAA does not consider the accumulation of permanent deformation in the subgrade under deflection imposed by each aircraft, deflection criteria was developed in order to give a more complete picture of what different rehabilitation options offer performance-wise. Deflection design criteria was formulated to prevent permanent deformation in the subgrade due to loads imposed by the heavy aircraft included in the runway traffic mix. Permanent deformation of this nature may lead to loss of support below the slab. As greater demands are being placed on our airport systems by increasing traffic and loading, improved pavement rehabilitation analysis and design methods are needed to fully account for all factors manifest in the condition of the pavement. This paper presents an innovative approach to account for the many factors influencing concrete pavement stiffness regarding the design and analysis of rehabilitation alternatives. The approach described affords practitioners a tool to realistically take into account current pavement conditions and future traffic loadings.
Performance of a Thin CRCP Inlay Designed for a Five-Year Life: a Case Study
Authors: Strauss P. J. , Perrie B. D. , Rossmann D.
Published: January 2025

The steep uphill section of an interstate highway had experienced considerable damage in the form of serious rutting due to slow-moving heavy vehicles. The asphalt pavement had had to be rehabilitated every 4 years and a decision was made to mill and replace the top 180mm of the slow lane with a CRCP inlay. The inlay design was based on an anticipated 6 million equivalent 80 kN axles over five years and it was envisaged that a concrete overlay would be placed over the full width of the road at the end of this period. However, at the end of six years only approximately 0.25% of the area of the inlay had shown serious distress. It was decided to determine the remaining structural life of the pavement with a view to repairing failed areas permanently, rather than temporarily, if the remaining structural life was found to be significant. This paper describes the testing of behaviour and performance on a relatively highly cracked section of the inlay using the Heavy Vehicle Simulator (HVS). Although the test section had narrowly spaced transverse cracking prior to testing, no punch-outs could be created using the HVS. A detailed survey of the 26 lane km of inlay showed that failure did not necessarily occur at closely spaced cracks, but was more associated with edge loading, loss of slab support and poor quality concrete. It also became very clear that a high variation in concrete characteristics (and in particular concrete strength) resulted in a high risk of structural failure. The results were translated into transfer functions that have been included in cncPave, a mechanistically-based design method for concrete pavements developed for South African conditions.
Potential for Development of Alkali-Silica Reaction in the Presence of Airfield Deicing Chemicals
Authors: Rangaraju Prasada Rao , Sompura Ketan R. , Olek Jan , Diamond Sidney , Lovell Janet
Published: January 2025

This paper focuses on some preliminary studies conducted to investigate the role of alkali-based airfield deicers in causing alkali-silica reaction (ASR) in airfield pavement concrete. A modified ASTM C 1260 test procedure was used in this study, in which mortar bars prepared with reactive aggregate were immersed in deicer soak solution instead of 1 N sodium hydroxide solution. In addition, standard ASTM C 1260 tests were also conducted on mortar bar containing reactive aggregate. Expansion of mortar bars subjected to deicer solutions in the modified ASTM C 1260 test was either equivalent or significantly greater than expansion of mortar bars exposed to the 1 N sodium hydroxide soak solution in the standard test. Based on the findings from this study, it appears that the alkali-based airfield deicers have considerable potential in initiating and accelerating ASR. In parallel studies with a non-reactive aggregate, no significant expansions were observed either in the standard or the modified ASTM C 1260 test.
Priority Issues for Performance and Durability
Authors: Ayton Geoff
Published: January 2025

There are many factors which influence the long-term performance of concrete pavements. They can be broadly categorised into four groups, namely thickness design, layer formats, jointing design and construction quality. Traditionally, the first two have dominated the attention of the published literature. However, in the author’s experience, it is the latter two groups which dominate the performance within the first 10 to 15 years (at minimum). The key issues within these groups are joint layout (i.e. plan geometry), mix design, mixing uniformity, compaction, curing, early-age protection and joint induction. The consequence of poor construction quality is that a potentially low-maintenance asset may soon become a high-maintenance liability. Rollings (2001) has summarised all of this by stating that “a well-built but poorly-designed pavement is likely to outperform a poorly-built but well-designed pavement”. Too often (in the author’s opinion), asset managers faced with durability problems look for exotic solutions (like corrosion protection of reinforcement) when improvements in the fundamentals of concrete construction practice (i.e. mix control, compaction and curing) would be more efficient and effective. Unfortunately, skilled craftsmen are becoming a rarer commodity and so a substantially increased training effort is needed to address the problem. This paper documents thirty years of experience to quantify the consequences of variable construction quality. It also seeks to show that the established textbook wisdom of concrete technology can be adapted in practical ways that are understood and applied by field staff.
PROVIDING DURABLE, SAFE, AND QUIET HIGHWAYS
Authors: Larson Roger M. , Scofield Larry , Sorenson James
Published: January 2025

Most pavement design and construction specifications do not adequately define the pavement functional surface characteristics that are important to highway users. The result is that sometimes completed highway projects do not meet user expectations. Currently, most specifications address only smoothness (ride quality), whereas other desirable surface characteristics such as durability, and surface texture [friction (safety) and noise (environment)] are not often specifically addressed. The purpose of this paper is to look primarily at the functional characteristics of paved highway surfaces. First, functional performance will be described. Secondly, the individual surface characteristics affecting functional performance will be discussed with emphasis on pavement texture which has a major effect on friction (safety) and noise (environment). Next, recent innovative techniques and equipment to measure and evaluate these characteristics will be explained. Safety efforts underway both internationally and in the U.S. will be addressed. Finally, examples of the best practices will be described. Consideration of these factors by the engineering profession will help ensure that the highway user expectations are met on completed projects by providing durable, safe and quiet highways.
Skid Resistance of Concrete Pavement Surfaces – Practical Experience in Germany
Authors: Fleischer Walter , Springenschmid Rupert , Wolf Thomas
Published: January 2025

Skid resistance of a pavement surface is important for safety. Therefore the surface of a concrete pavement must have a roughness suitable for a high skid resistance but also for a low noise emission. These surface properties must be as durable as possible. In Germany there are various possible ways for producing surface textures in fresh and hardened concrete surfaces with high skid resistance. For noise-sensitive areas good results can be achieved by dragging a burlap or an artificial turf over the fresh concrete in the longitudinal direction. Also, good and durable skid resistance and low noise emission can be achieved on an exposed concrete surface. Surface grinding a hardened concrete can provide high skid resistance. The practical experiences in Germany for producing a concrete pavement surface with high skid resistance are described in the paper.
Lessons learned from Mn/ROAD (1992 – 2007): Low-Volume Road Concrete Pavement Design and Performance
Authors: Snyder Mark B.
Published: January 2025

This paper examines the design and general performance of the five original MnROAD low-volume road (LVR) concrete pavement test sections, which were constructed in 1993 and have been subjected to more than 300,000 80-kN (18-kip) equivalent single-axle loads (ESALs) by a controlled stream of heavy trucks. The test sections include pavements with varying panel lengths, joint designs, foundation designs and drainage systems. Ride quality histories and current distress summaries are presented, along with maintenance records and deflection data. Performance life projections are made on the basis of IRI records, and these projections are compared with predictions that result from using as-built data in selected common design procedures. The effectiveness of various design and construction parameters is evaluated in the context of the performance measures and predictions. Initial ride quality appears to be one of the most important parameters affecting performance life. The accuracy of various design procedures is evaluated in terms of the test section performances. The new AASHTO Mechanistic-Empirical Pavement Design Guide provided pavement performance estimates that most closely matched observed IRI trends, but even this procedure underpredicted project performance by about 23 percent.
MIXTURE RATIO DESIGN METHOD FOR POROUS CONCRETE PERMEABLE BASE
Authors: Zheng Mulian , Chen Shuanfa , Wang Binggang
Published: January 2025

As a new kind of material for permeable base, mixture ratio design of porous concrete should ensure both the porosity and the mechanical strength. Based on Talbol Formula and foreign experiences, four kinds of gradation of porous concrete are designed and effective particle size and uniform coefficient are taken as the effective descriptive targets of aggregate gradation. Three factors of cement dosage, water cement ratio and aggregate gradation are considered in an orthogonality test with four levels adopted in every factor. Through variance analysis of the tests results, it can be drawn that when confidence probability is 95%, the factors that evidently affect 7d compressive strength are gradation and cement aggregate ratio, and the factors evidently affect effective porosity are gradation, cement aggregate ratio and water cement ratio. While when confidence probability is 90%, gradation, cement dose and water cement ratio all have evident influence on 7d compressive strength and effective porosity. Based on the test results, a series of regression relationships of 7d compressive strength and effective porosity of porous concrete are derived. Finally, the empirical equation method of mixture ratio design for porous concrete is proposed.
Study of Features of Numerical Simulation of Falling Weight Tests on Rigid Pavements
Authors: Kuo Chen-Ming , Lai Yi-Chen
Published: January 2025

Falling Weight Deflectometer (FWD) produces pavement responses upon an impact by a falling weight drop. The responses serve as inputs of backcalculation procedures to calculate the structural parameters for pavement evaluation. Many simulations were developed by imposing the impact force on pavement model neglecting the falling mass. This study investigated the effects of falling mass on FWD simulations, which were conducted with a finite element analysis package. Various falling heights, damping of rubber pads, and falling masses were considered to reveal the significance of these factors on pavement responses. The preliminary results show that falling mass may be ignored in FWD simulations as long as the time history of impact force is correctly recorded and used for general FWD simulations. The damping of underlying materials is significant in dynamic responses.
“TCP Design” for Thin Concrete Pavement
Authors: Covarrubias Juan Pablo
Published: January 2025

Measurements made in Chile, in different climates (dry, wet, hot and cold) reveal that slabs are always curled with the borders in the air and never warped (Larrain, 1986). This curling is mostly influenced by thermal and hydraulic gradients during construction. This type of curling can be so large that positive gradients given by daily and season cycle of temperature and humidity gradients will most of the time not be enough to warp (edges downwards) the slab, so warping will only occur on some condition and in very short period of time during the day (Larraín 1986). Because of this, the maximum tensile stresses are on the top of the slab and are produced by the loads of the truck flattening the slab. The sum of all the stresses is the cause of fatigue life and affects the performance of the pavement (Jane Jang, Shiraz Tayabji 1998)
Use of Glass FRP Reinforcing Bars instead of Steel Bars in CRCP in Quebec
Authors: Thébeau Denis , Eisa Mohamed , Benmokrane Brahim
Published: January 2025

In North America, there is a persistent problem of the deterioration of steel-reinforced concrete which has limited the service life and increased the maintenance cost of such structures. The first Canadian continuous reinforced concrete pavement (CRCP) built on a highway was constructed in 2000 in the province of Quebec. Some cores taken in the first CRCP section five years after construction were already showing some corrosion in the longitudinal reinforcement at the crack location. Many options were then analysed in 2005 to resolve this problem and galvanised steel was selected as reinforcement for the next projects. One other non-corrosive reinforcement alternative is glass fibre reinforced polymer (GFRP). Fifteen (15) slab sections over an area of 150 m in three-lanes of Highway 40 Eastbound in Montreal (Quebec) were constructed using the newly developed CRCP system with GFRP reinforcement. In addition, 3 slab sections were reinforced using steel bars for comparison purposes. The main objective of this research project is to implement the technology and design of GFRP reinforcing bars in order to demonstrate their ability to meet all CRCP requirements.
The Strengthening the Value of Religious Moderation through Learning of Faith and Ethics at MTs Nasyrul Ulum Tempuran Central Lampung
Authors: Padila Amalia , Syafe'i Imam , Akhmansyah Muhammad
Published: January 2025

This article discusses the strengthening of moderation values ​​through learning of creed and morals at MTs Nasyrul Ulum Tempuran Lampung Tengah. Religious moderation is a central issue that is being intensively socialized by the Ministry of Religion as a form of realizing a harmonious Indonesia. Therefore, strengthening religious moderation through educational institutions with a learning process is very appropriate, the values ​​of religious moderation are instilled through the Creed and Morals learning process. This study uses a qualitative method with a type of field research, the author conducted research directly through observation, interviews, and documentation. The results of the study show that: (1) Strengthening moderation values ​​through Creed and Morals learning at MTs Nasyrul Ulum Madrasah plays a very important role in shaping students' character and attitudes. (2) Strengthening Religious Moderation Values ​​Through Creed and Morals Learning Planning at MTs Nasyrul Ulum has learning objectives, learning materials, learning methods, and learning activities designed in the syllabus and RPP containing moderate values, tolerance, respect for differences and mutual cooperation. (3) Strengthening the Value of Religious Moderation Through Evaluation of Beliefs and Ethics at Mts Nasyrul Ulum Tempuran Lampung. With a planned and systematic evaluation, MTs Nasyrul Ulum can effectively measure and strengthen the value of religious moderation among students. Evaluations that include various methods and involve many parties will provide a more complete picture of how students internalize the values ​​of moderation in everyday life, as well as foster their awareness of the importance of tolerance in a multicultural society.
PEMANFAATAN DIGITAL MARKETING BAGI MENINGKATKAN PENDAPATAN USAHA MIKRO, KECIL, DAN MENENGAH (UMKM) DESA DASAN TAPEN, KECAMATAN GERUNG, KABUPATEN LOMBOK BARAT
Authors: Irawansyah Irawansyah , Junaidin Junaidin , Sahbany Sri , Hadi Lalu Adiyatma Taopikul , Riscal Detty Agustin , Aminullah Andi Muhammad
Published: January 2025

Pengabdian ini dilatar belakangi dengan arus globalisasi yang cepat membuat perkembangan teknologi kearah serba digital ini semakin pesat. Disinilah kesempatan yang dapat dimanfaatkan oleh pelaku usaha untuk menembus market digital marketing. Penelitian ini bertujuan untuk mengetahui peran digital marketing terhadap peningkatan pendapatan Usaha Mikro Kecil dan Menengah (UMKM) di Desa Dasan Tapen, Kecamatan Gerung, Kabupaten Lombok Barat dan untuk memahami bagaimana kendala dan manfaat penerapan digital marketing bagi pelaku Usaha Mikro Kecil dan Menengah (UMKM) di Desa Dasan Tapen, Kecamatan Gerung, Kabupaten Lombok Barat. Untuk mengungkapkan persoalan tersebut penelitian ini menggunakan jenis penelitian kualitatif yang berguna untuk memberikan fakta dan data mengenai pemanfaatan digital marketing bagi peningkatan pendapatan UMKM. Dari hasil penelitian ditemukan bahwa digital marketing berperan dalam peningkatan pendapatan UMKM di Desa Dasan Tapen, Kecamatan Gerung, Kabupaten Lombok Barat, hal itu dibuktikan dengan peningkatan pendapatan 33% hingga 59%.
Analisis Islamofobia Terhadap Integrasi Muslim Di Negara Minoritas Islam
Authors: Rini Ramadhani  , Kharisatun Nafila  , Aulia Maharani  , Anisa Dwi Amalia  , Ely Mufidah
Published: January 2025

Islamofobia telah menjadi salah satu tantangan utama bagi komunitas Muslim yang tinggal di negara-negara dengan mayoritas non-Muslim. Penelitian ini menganalisis dampak islamofobia terhadap proses integrasi Muslim di negara-negara tersebut, khususnya dalam bidang sosial, ekonomi, politik, pendidikan, dan praktik keagamaan. Metode penelitian menggunakan studi literatur dari berbagai sumber, termasuk jurnal, buku yang terkait. Hasil penelitian menunjukkan bahwa islamofobia memicu diskriminasi, marginalisasi, dan pembatasan terhadap hak-hak Muslim, terutama di negara-negara Barat. Dampaknya meluas, mencakup penghambatan pembangunan masjid, pembatasan simbol keagamaan, hingga ketidakadilan di sektor ekonomi dan politik. Sebagai langkah mitigasi, pendekatan moderasi Islam, dialog lintas agama, dan kampanye kesadaran publik dapat membantu mengurangi stereotip negatif terhadap Islam dan mendorong integrasi yang harmonis di masyarakat multikultural.
UJI AKTIVITAS ANTIINFLAMASI EKSTRAK ETANOL UMBI BAWANG DAYAK (Eleutherine palmifolia) TERHADAP MENCIT YANG DIINDUKSI KARAGENIN
Authors: Milasari Novi , Adhila Ghina , Syamsul Eka Siswanto
Published: January 2025

Inflammation is a normal response to protect tissue injury from toxic chemicals, physical trauma, or microbial agents. Treatment of inflammation generally uses synthetic drugs, but the use of these drugs in addition to eliminating inflammation also has many side effects and is relatively expensive. Therefore, anti-inflammatory drugs derived from plants are used. One of the natural medicines used is Dayak onion (Eleutherine palmifolia) because empirically it is widely used by the Dayak and Kutai communities, which has the potential as a medicinal plant with various enormous properties. This study aimed to determine the anti-inflammatory activity of an ethanol extract of Dayak onion bulbs (Eleutherine palmifolia) in carrageenin-induced mice. The test of anti-inflammatory activity was carried out by forming artificial inflammation on the soles of the feet of white mice. The study was conducted on 15 mice, which were divided into 5 groups. The first group as a negative control was given a 0.5% CMC solution. The second group as a positive control was given diclofenac sodium at a dose of 27 mg/ 20 g BW. The third, fourth, and fifth groups were given a dayak onion bulb extract dose of 100 mg /kgBB, 200 mg /kgBB, and 400 mg /kgBB. Based on the measurement of the percent inhibition of inflammation from the 30th minute to the 300th minute, it was found that the average dose of Dayak onion extract 1 (100 mg/KgBB) had the lowest percent inhibition of inflammation, which was 23.064±1.286%, dose 2 was 37.701±2.354%, and dose 3 was 52.324±4.751% and positive control of 76.348±8.702% which has the highest percent of inflammation inhibition. Based on the study, it can be concluded that the ethanol extract of dayak onion bulbs has the best anti-inflammatory activity at dose 3 of 52.324±4.751% in mice induced by carrageenin.
Enhancement of host defense against Helicobacter pylori infection through modulation of the gastrointestinal microenvironment by Lactiplantibacillus plantarum Lp05
Authors: Dong Yao , Han Mei , Qi Yongmei , Wu Ying , Zhou Zhipeng , Jiang Dacheng , Gai Zhonghui
Published: January 2025

Objective

This study aimed to assess the impact of Lactiplantibacillus plantarum Lp05 (Lp05) on the gastrointestinal microbiome and pathophysiological status of mice infected with Helicobacter pylori (H. pylori), exploring its potential as a probiotic treatment for H. pylori infections.

Methods

In vitro, the interaction between Lp05 and H. pylori was analyzed using laser confocal and scanning electron microscopy. In vivo, C57BL/6 mice infected with H. pylori were treated with Lp05 and divided into six groups: control, model, quadruple therapy, and three dosage levels of Lp05 (2×107, 2×108, 2×109 CFU/mouse/day). Over six weeks, the impact of Lp05 on the gastrointestinal microbiome and physiological markers was assessed. Measurements included digestive enzymes (α-amylase, pepsin, cellulase), inflammatory markers (interleukin-17A, interleukin-23, interleukin-10, interferon-β, interferon-γ, FoxP3, endothelin, IP-10, TGF-β1), oxidative stress markers (catalase, malondialdehyde, superoxide dismutase, myeloperoxidase), and tissue pathology (via modified Warthin-Starry silver and H&E staining). Microbial community structure in the stomach and intestines was evaluated through 16S rRNA gene sequencing.

Results

In vitro studies showed Lp05 and H. pylori formed co-aggregates, with Lp05 potentially disrupting H. pylori cell structure, reducing its stomach colonization. In vivo, Lp05 significantly lowered gastric mucosal urease activity and serum H. pylori-IgG antibody levels in infected mice (p < 0.01). It also mitigated pathological changes in the stomach and duodenum, decreased inflammatory responses (ET, IL-17A, IL-23, TGF-beta1, and IP-10, p < 0.01 for all), and enhanced antioxidant enzyme activities (CAT and SOD, p < 0.01) while reducing MDA and MPO levels (p < 0.01), combating oxidative stress from H. pylori infection. Lp05 treatment significantly modified the intestinal and gastric microbiota, increasing beneficial bacteria like Lactobacillus and Ligilactobacillus, and decreasing harmful bacteria such as Olsenella, linked to pathological conditions.

Conclusion

Lp05 effectively modulates the gastrointestinal microbiome, reduces inflammation and oxidative stress, and suppresses H. pylori, promising for probiotic therapies with further research needed to refine its clinical use.
Salivary proteomics profiling reveals potential biomarkers for chronic kidney disease: a pilot study
Authors: Picolo Bianca Uliana , Silva Nathália Rabello , Martins Mário Machado , Almeida-Souza Hebréia Oliveira , de Sousa Letícia Cristina Machado , Polveiro Richard Costa , Goulart Filho Luiz Ricardo , Sabino-Silva Robinson , Alonso-Goulart Vivian , Saraiva da Silva Luciana
Published: January 2025

Introduction

Chronic kidney disease (CKD) is a global public health problem, and the absence of reliable and accurate diagnostic and monitoring tools contributes to delayed treatment, impacting patients’ quality of life and increasing treatment costs in public health. Proteomics using saliva is a key strategy for identifying potential disease biomarkers.

Methods

We analyzed the untargeted proteomic profiles of saliva samples from 20 individuals with end-stage kidney disease (ESKD) (n = 10) and healthy individuals (n = 10) using liquid chromatography–tandem mass spectrometry (LC–MS/MS) to identify potential biomarkers for CKD. A volcano plot was generated using a p-value of ≤0.05 and a fold change (FC) ≥ 2.0. Multivariate analysis was performed to generate the orthogonal partial least squares discriminant analysis (OPLS-DA) model and the variable importance in projection (VIP) scores. The accuracy of candidate biomarker proteins was evaluated using receiver operating characteristic (ROC) curves.

Results

In total, 431 proteins were identified in the salivary proteomic profile, and 3 proteins were significantly different between the groups: apoptosis inhibitor 5 (API5), phosphoinositide phospholipase C (PI-PLC), and small G protein signaling modulator 2 (Sgsm2). These proteins showed good accuracy based on the ROC curve and a VIP score of >2.0. During pathway enrichment, PI-PLC participates in the synthesis of IP3 and IP4 in the cytosol. Gene ontology (GO) analysis revealed data on molecular functions, biological processes, cellular components, and protein classes.

Conclusion

We can conclude that the salivary API5, PI-PLC, and Sgsm2 can be potential biomarker candidates for CKD detection. These proteins may participate in pathways related to renal fibrosis and other associated diseases, such as mineral and bone disorders.
Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete
Authors: Kovačević Miljan , Hadzima-Nyarko Marijana , Petronijević Predrag , Vasiljević Tatijana , Radomirović Miroslav
Published: January 2025

This study presents a detailed analysis of various machine learning models for predicting the interfacial bond strength of fiber-reinforced polymer (FRP) concrete, including multiple linear regression, Multigene Genetic Programming (MGGP), an ensemble of regression trees, Gaussian Process Regression (GPR), Support Vector Regression (SVR), and neural networks. The evaluation was based on their predictive accuracy. The optimal model identified was the GPR ARD Exponential model, which achieved a mean absolute error (MAE) of 1.8953 MPa and a correlation coefficient (R) of 0.9658. An analysis of this optimal model highlighted the most influential variables affecting the bond strength. Additionally, the research identified several models with lower expression complexity and reduced accuracy, which may still be applicable in practical scenarios.
White Oaks Genetic and Chemical Diversity Affect the Community Structure of Canopy Insects Belonging to Two Trophic Levels
Authors: Castillo-Mendoza Elgar , Valencia-Cuevas Leticia , Mussali-Galante Patricia , Ramos-Quintana Fernando , Zamilpa Alejandro , Serrano-Muñoz Miriam , Pujade-Villar Juli , Tovar-Sánchez Efraín
Published: January 2025

The hybridization phenomenon increases genetic diversity and modifies recombinant individuals’ secondary metabolite (SMs) content, affecting the canopy-dependent community. Hybridization events occur when Quercus rugosa and Q. glabrescens oaks converge in sympatry. Here, we analyzed the effect of the genetic diversity (He) and SMs of Q. rugosa, Q. glabrescens and hybrids on the community of gall-inducing wasps (Cynipidae) and their parasitoids on 100 oak canopy trees in two allopatric and two hybrid zones. Eighteen gall wasp species belonging to six genera and six parasitoid genera contained in four families were identified. The most representative parasitoid genera belonged to the Chalcidoidea family. Abundance, infestation levels and richness of gall wasps and their parasitoids registered the next pattern: Q. rugosa higher than the hybrids, and the hybrids equal to Q. glabrescens. Oak host genetic diversity was the variable with the highest influence on the quantitative SMs expression, richness and abundance of gall wasps and their parasitoids. The influence of SMs on gall wasps and their parasitoids showed the next pattern: scopoletin > quercitrin > rutin = caffeic acid = quercetin glucoside. Our findings indicate that genetic diversity may be a key factor influencing the dynamics of tri-trophic interactions that involve oaks.
Decoding Pollution: A Federated Learning-Based Pollution Prediction Study with Health Ramifications Using Causal Inferences
Authors: Beriwal Snehlata , Ayeelyan John
Published: January 2025

Unprecedented levels of air pollution in our cities due to rapid urbanization have caused major health concerns, severely affecting the population, especially children and the elderly. A steady loss of ecological balance, without remedial measures like phytoremediation, coupled with alarming vehicular and industrial pollution, have pushed the Air Quality Index (AQI) and particulate matter (PM) to dangerous levels, especially in the metropolitan cities of India. Monitoring and accurate prediction of inhalable Particulate Matter 2.5 (PM2.5) and Particulate Matter 10 (PM10) levels, which cause escalations in and increase the risks of asthma, respiratory inflammation, bronchitis, high blood pressure, compromised lung function, and lung cancer, have become more critical than ever. To that end, the authors of this work have proposed a federated learning (FL) framework for monitoring and predicting PM2.5 and PM10 across multiple locations, with a resultant impact analysis with respect to key health parameters. The proposed FL approach encompasses four stages: client selection for processing and model updates, aggregation for global model updates, a pollution prediction model with necessary explanations, and finally, the health impact analysis corresponding to the PM levels. This framework employs a VGG-19 deep learning model, and leverages Causal Inference for interpretability, enabling accurate impact analysis across a host of health conditions. This research has employed datasets specific to India, Nepal, and China for the purposes of model prediction, explanation, and impact analysis. The approach was found to achieve an overall accuracy of 92.33%, with the causal inference-based impact analysis producing an accuracy of 84% for training and 72% for testing with respect to PM2.5, and an accuracy of 79% for training and 74% for testing with respect to PM10. Compared to previous studies undertaken in this field, this proposed approach has demonstrated better accuracy, and is the first of its kind to analyze health impacts corresponding to PM2.5 and PM10 levels.
Wideband ASK-OOK Data Recovery Circuit for Data Transmission in Over-Coupled Mode of SWPDT System
Authors: Ullah Naqeeb , Barakat Adel , Kanaya Haruichi , Pokharel Ramesh K.
Published: January 2025

This paper presents an efficient wideband data recovery circuit (DRC) for forward data transfer in the over-coupled mode of dynamic SWPDT systems. In the over-coupled mode, where the operating frequency varies, conventional DRCs often become ineffective due to their limited operating frequency range. To address this issue, we propose a wideband DRC using amplitude shift keying (ASK) with on–off keying (OOK) modulation. The proposed circuit also eliminates the need for diodes and averaging circuits, which are typically required in traditional designs. The proposed circuit achieves data recovery by passing the OOK-modulated signal through a proposed Voltage-to-Time Converter (VTC), followed by a comparator and inverter. Implemented in 180 nm CMOS technology, the circuit occupies an area of 2440 μm2 and a power consumption of 52.08 μW. The circuit can operate across a wide range of carrier frequencies. It was tested and validated with OOK-modulated signals at 5 MHz, 50 MHz, and 150 MHz, confirming its versatility and robustness. The prototype circuit enables wireless data transmission in critically coupled, weakly coupled, and over-coupled modes of WPT systems, achieving a 2 Mb/s data rate without requiring receiver repositioning.
More than Just Chilling and Forcing: Deconstructing the Climate Windows and Drivers of Leaf Emergence and Fall in Woody Plant Species
Authors: Rubio-Cuadrado Álvaro , Camarero J. Julio
Published: January 2025

Climate warming is impacting vegetation productivity and plant leaf phenology, but the precise climate drivers and windows of key leaf phenological phases, such as emergence and fall, are still not well understood. Recent intensive computational approaches based on pinpointing the optimal climate window of leaf phenophases by maximizing the signal could help to advance in this question. In this study, we assess the climate variables, the climate windows, and the type of relationship (linear or nonlinear) that drive leaf emergence and fall in 21 deciduous and 13 evergreen woody plant species inhabiting two sites in Mediterranean Spain. We used precipitation, solar radiation, and different temperature measures, including forcing and chilling, as climate variables. We found that forcing variables were the best predictors of leaf phenology, but other temperature variables, as well as precipitation and radiation, were also important. However, chilling was not a good predictor. Most selected models showed nonlinear relationships. The best thresholds for calculating forcing were different from those commonly used. In addition, the best climate window for leaf phenology was species-specific and contingent on climatic and phenological conditions. This optimum climate window often covered longer periods than those usually considered in phenology studies. Our approach could be used to assess and better forecast future plant phenological responses to climate warming.