bluuebunny/crossref_metadata_2025 huggingface dataset:
Using and Modifying Standardized Restorative Treatments in Aphasia: Clinician Perspectives
Authors: Zimmerman Reva M. , Obermeyer Jessica , Schlesinger Julie , Silkes JoAnn P.
Published: November 2024

Purpose:

Aphasia treatment should be individualized, so clinicians are likely modifying established treatment paradigms to fit client needs. Little extant research describes which treatment protocols clinicians modify, how and why they modify their treatments, and what sources they use to guide their modifications. The purpose of this study was to gain insights into these issues.

Method:

A Qualtrics survey was distributed through speech-language pathology–related professional and social media networks from January through June 2023. Forty-seven speech-language pathologists provided basic information on assessment and treatment approaches that they use, and 32 respondents provided detailed responses regarding their current treatment practices.

Results:

The two restitutive aphasia treatments clinicians reported using most often were Semantic Feature Analysis and Verb Network Strengthening Treatment. The reasons for using these two treatments were that they are easy to administer, patients enjoy them, and they are perceived to be effective. Most clinicians reported that they often modify aphasia treatment protocols for a variety of reasons. These included matching patients' linguistic profiles by changing stimuli or the presentation modality as well as meeting time constraints and productivity standards. Respondents reported that they mostly rely on their personal experience, suggestions from colleagues, and linguistic theory to guide their modifications.

Conclusions:

Clinicians often modify standardized treatments to balance their patients' needs and the demands of their settings and typically rely on personal experience to do so. In the future, more clinician–researcher partnerships and investigations of active treatment ingredients are needed to support clinicians in making efficient and effective treatment modifications.

Supplemental Material:

https://doi.org/10.23641/asha.27703662
Race Identification in American English
Authors: Holt Yolanda Feimster , Bent Tessa , Baese-Berk Melissa , Rothermich Kathrin
Published: November 2024

Purpose:

This study examined the race identification of Southern American English speakers from two geographically distant regions in North Carolina. The purpose of this work is to explore how talkers' self-identified race, talker dialect region, and acoustic speech variables contribute to listener categorization of talker races.

Method:

Two groups of listeners heard a series of /h/–vowel–/d/ (/hVd/) words produced by Black and White talkers from East and West North Carolina, respectively.

Results:

Both Southern (North Carolina) and Midland (Indiana) listeners accurately categorized the race of all speakers with greater-than-chance accuracy; however, Western North Carolina Black talkers were categorized with the lowest accuracy, just above chance.

Conclusions:

The results suggest that similarities in the speech production patterns of West North Carolina Black and White talkers affect the racial categorization of Black, but not White talkers. The results are discussed with respect to the acoustic spectral features of the voices present in the sample population.
Deep Reinforcement Learning Explores EH‐RIS for Spectrum‐Efficient Drone Communication in 6G
Authors: Nashwan Farhan M. , Alammari Amr A. , saif Abdu , Alsamhi Saeed Hamood
Published: November 2024

Reconfigurable intelligent surfaces (RISs) have emerged as a groundbreaking technology, revolutionizing wireless networks with enhanced spectrum and energy efficiency (EE). When integrated with drones, the combination offers ubiquitous deployment services in communication‐constrained areas. However, the limited battery life of drones hampers their performance. To address this, we introduce an innovative energy harvesting (EH), that is, EH‐RIS. EH‐RIS strategically divides passive reflection arrays across geometric space, improving EH and information transformation (IT). Employing a meticulous, exhaustive search algorithm, the resources of the drone‐RIS system are dynamically allocated across time and space to maximize harvested energy while ensuring optimal communication quality. Deep reinforcement learning (DRL) is employed to investigate drone‐RIS performance by intelligently allocating resources for EH and signal reflection. The results demonstrate the effectiveness of the DRL‐based EH‐RIS simultaneous wireless information and power transfer (SWIPT) system, demonstrating enhanced drone‐RIS spectrum‐efficient communication capabilities. Our investigation is summarized in unleashing potential, which shows how DRL and EH‐RIS work together to optimize drone‐RIS for next‐generation wireless networks.
Microgrids 4.0: digitalization of microgrid with IoT and recent technology interventions
Authors: Negi Gaurav Singh , Singh Rajesh , Gehlot Anita , Malik Praveen , Sharma Rohit , Obaid Ahmed J. , Alferaidi Ali , Alharbi Yasser , Kumar Sachin
Published: November 2024

Following the fourth industrial revolution and subsequent developments in information and communication technology, applying intelligent techniques in microgrid is gaining popularity in academia and business worldwide. A significant amount of data is continuously generated by the widespread use of internet of things (IoT) technologies and sensor networks in microgrids. This data includes essential information to progress the performance of microgrids. This paper includes a comprehensive review of IoT, cloud computing, big data, artificial intelligence, machine learning, blockchain in microgrid and the concepts of digital twin and metaverse and their applications. By aiding in the design, operation management, and maintenance of microgrids, these methods offer a potent tool for managing the massive historical data and real‐time data stream in a proficient and protected way. They also facilitate microgrids operation. Contextual awareness, security, and resilient operation are important for microgrids, therefore their possible improvement in light of these intelligent approaches is comprehensively examined. A theoretical implementation for managing robust operation of microgrids is then described. The discussion of recommendations in microgrids concludes.
A comprehensive research on light field imaging: Theory and application
Authors: Liu Fei , Wang Yunlong , Yang Qing , Zhou Shubo , Zhang Kunbo
Published: November 2024

Computational photography is a combination of novel optical designs and processing methods to capture high‐dimensional visual information. As an emerged promising technique, light field (LF) imaging measures the lighting, reflectance, focus, geometry and viewpoint in the free space, which has been widely explored for depth estimation, view synthesis, refocus, rendering, 3D displays, microscopy and other applications in computer vision in the past decades. In this paper, the authors present a comprehensive research survey on the LF imaging theory, technology and application. Firstly, the LF imaging process based on a MicroLens Array structure is derived, that is MLA‐LF. Subsequently, the innovations of LF imaging technology are presented in terms of the imaging prototype, consumer LF camera and LF displays in Virtual Reality (VR) and Augmented Reality (AR). Finally the applications and challenges of LF imaging integrating with deep learning models are analysed, which consist of depth estimation, saliency detection, semantic segmentation, de‐occlusion and defocus deblurring in recent years. It is believed that this paper will be a good reference for the future research on LF imaging technology in Artificial Intelligence era.
Abnormal gait recognition with millimetre‐wave radar based on perceptual loss and convolutional temporal autoencoder
Authors: Zhao Peng , Hong Ling , Wang Yu
Published: November 2024

Walking is fundamental to normal human life. However, many people suffer from walking impairments due to various diseases that may severely affect their daily activities. Early detection of an abnormal gait can aid subsequent treatment and rehabilitation. This paper proposes a novel abnormal gait recognition method based on a perceptual loss convolutional temporal autoencoder (PLCTAE) network. It comprises upstream and downstream tasks, both of which utilise radar micro‐Doppler spectrograms as inputs. The upstream task employs a convolutional autoencoder with the perceptual loss to encode and decode micro‐Doppler spectrograms, achieving unsupervised pretraining and obtaining the initial parameters for the convolutional part of the PLCTAE. The downstream task fine‐tunes the convolutional part of the PLCTAE through supervised training to extract spatial features from the micro‐Doppler spectrograms and incorporates a bidirectional long short‐term memory (BiLSTM) network to further extract temporal features, accomplishing the task of abnormal gait classification. The experimental results demonstrate that the proposed method achieves good classification performance on the self‐established dataset which is collected by Texas Instruments' IWR6843ISK millimetre‐wave radar and contains eight types of abnormal gaits. The generalisation performance is also validated on a public dataset from the University of Glasgow containing six types of human activities.
Robust design optimization of five‐phase SynRM for fault‐tolerant operation based on Taguchi method
Authors: Ghaffari Ghaziani Mehdi , Heydari Hossein
Published: November 2024

Synchronous reluctance motor has recently attracted the attention of researchers due to their characteristics such as higher efficiency compared to induction motors, lower cost in contrast to permanent magnet motors, robust rotor structure and limited rotor inertia. Also, research on five‐phase motors, which have more reliability and torque density than three‐phase motors, is of a great importance. In this essay, the optimization of the robust design of a five‐phase reluctance synchronous motor has been done through the design of experiments using the sequential Taguchi method based on fuzzy logic. To ensure that the performance of the motor is not sensitive to changes and uncertainties, the air gap manufacturing tolerances, the width of the rotor's tangential rib and the rotor's pitch control angle are considered as noise factors. In addition, to improve the motor's fault tolerance capacity, the main performance characteristics of the motor under single‐phase fault operation, such as average torque and ripple torque are considered as optimization targets, along with the main performance characteristics of the motor under normal operation. By comparing the optimization results of the proposed method with the conventional Taguchi optimization method, the effectiveness and superiority of the proposed method have been confirmed.
3D structure of the Milky Way out to 10 kpc from the Sun
Authors: Rezaei Kh. Sara , Beuther Henrik , Benjamin Robert A. , Eilers Anna-Christina , Henning Thomas , Jiménez-Donaire Maria J. , Miville-Deschênes Marc-Antoine
Published: November 2024

Understanding the 3D structure of the Milky Way is a crucial step in deriving properties of the star-forming regions, as well as the Galaxy as a whole. We present a novel 3D map of the Milky Way plane that extends to 10 kpc distance from the Sun. We leverage the wealth of information in the near-infrared dataset of the Sloan Digital Sky Survey’s Apache Point Observatory Galactic Evolution Experiment (APOGEE) and combine that with our state-of-the-art 3D mapping technique using Bayesian statistics and the Gaussian process to provide a large-scale 3D map of the dust in the Milky Way. Our map stretches across 10 kpc along both the X and Y axes, and 750 pc in the Z direction, perpendicular to the Galactic plane. Our results reveal multi-scale over-densities as well as large cavities in the Galactic plane and shed new light on the Galactic structure and spiral arms. We also provide a catalogue of large molecular clouds identified by our map with accurate distance and volume density estimates. Utilising volume densities derived from this map, we explore mass distribution across various galactocentric radii. A general decline towards the outer Galaxy is observed, followed by local peaks, some aligning with established features such as the molecular ring and segments of the spiral arms. Moreover, this work explores extragalactic observational effects on derived properties of molecular clouds by demonstrating the potential biases arising from column density measurements in inferring properties of these regions, and opens exciting avenues for further exploration and analysis, offering a deeper perspective on the complex processes that shape our galaxy and beyond.
HOLISMOKES
Authors: Schuldt S. , Cañameras R. , Andika I. T. , Bag S. , Melo A. , Shu Y. , Suyu S. H. , Taubenberger S. , Grillo C.
Published: November 2024

We performed a systematic search for strong gravitational lenses using Hyper Suprime-Cam (HSC) imaging data, focusing on galaxy-scale lenses combined with an environment analysis resulting in the identification of lensing clusters. To identify these lens candidates, we exploited our residual neural network from HOLISMOKES VI (Cañameras et al. 2021, A&A, 653, L6), trained on realistic gri mock-images as positive examples, and real HSC images as negative examples. Compared to our previous work, where we successfully applied the classifier to around 62.5 million galaxies having an i-Kron radius of ≥0.8″, we now lowered the i-Kron radius limit to ≥0.5″. The result in an increase by around 73 million sources, amounting to a total of over 135 million images. During our visual multi-stage grading of the network candidates, we also simultaneously inspected larger stamps (80″ × 80″) to identify large, extended arcs cropped in the 10″ × 10″ cutouts and also classify their overall environment. Here, we also re-inspected our previous lens candidates with i-Kron radii of ≥0.8″ and classified their environment. Using the 546 visually identified lens candidates, we further defined various criteria by exploiting extensive and complementary photometric redshift catalogs to select the candidates in overdensities. In total, we identified 24 grade A and 138 grade B exhibit either spatially-resolved multiple images or extended, distorted arcs in the new sample. Furthermore, combining our different techniques to determine overdensities, we identified a total 231/546 lens candidates by at least one of our three identification methods for overdensities. This new sample contains only 49 group- or cluster-scale re-discoveries, while 43 systems had been identified by all three procedures. Furthermore, we performed a statistical analysis by using the neural network from HOLISMOKES IX (Schuldt et al. 2023a, A&A, 671, A147) to model these systems as singular isothermal ellipsoids with external shear and to estimate their parameter values, making this the largest uniformly modeled sample to date. We find a tendency towards larger Einstein radii for galaxy-scale systems in overdense environments, while the other parameter values as well as the uncertainty distributions are consistent between those in overdense and non-overdense environments. These results demonstrate the feasibility of downloading and applying neural network classifiers to hundreds of million cutouts, which will be needed in the upcoming era of big data from deep, wide-field imaging surveys such as Euclid and the Rubin Observatory Legacy Survey of Space and Time. At the same time, it offers a sample size that can be visually inspected by humans. These deep learning pipelines, with false-positive rates of ∼0.01%, are very powerful tools to identify such rare galaxy-scale strong lensing systems, while also aiding in the discovery of new strong lensing clusters.
Beryllium: The smoking gun of a rejuvenated star
Authors: Rathsam A. , Meléndez J. , Karakas A. I.
Published: November 2024

Context. The chemistry and Galactic velocity components of the star HD 65907 suggest that despite its young isochronal age of ∼5 Gyr, it is in fact a merger of two old Population II stars. Its low Li abundance is also consistent with a mass accretion episode.

Aims. We determine Li and Be abundances for this star and evaluate its radial velocity time series, activity cycle, and spectral energy distribution in search of clues regarding the origin of this enigmatic star.

Methods. Li and Be abundances were determined via spectral synthesis of their resonance lines using HARPS and UVES spectra, respectively. HARPS data were also used to study variations in the star’s radial velocity and activity levels. Photometric data were adopted to evaluate the stellar spectral energy distribution.

Results. HD 65908 is severely Li- and Be-depleted. Its radial velocity is nearly constant (σ = 2 m/s), with a small modulation likely associated with stellar activity, and the star shows no further signs of an undetected close companion. The excess infrared emission is consistent with a 30 K blackbody, which is interpreted as a debris disk surrounding the star. The post-merger mass, rotation rate, and evolution of this star are discussed.

Conclusions. The low Li and Be abundances, in addition to the lack of evidence for a companion, are strong pieces of evidence in favor of the stellar merger scenario. In this context, Be can be used to confirm other blue stragglers among field solar-type stars, as proposed in the literature.
Semi-supervised rotation measure deconvolution and its application to MeerKAT observations of galaxy clusters
Authors: Gustafsson V. , Brüggen M. , Enßlin T.
Published: November 2024

Context. Faraday rotation contains information about the magnetic field structure along the line of sight and is an important instrument in the study of cosmic magnetism. Traditional Faraday spectrum deconvolution methods such as RMCLEAN face challenges in resolving complex Faraday dispersion functions and handling large datasets.

Aims. We developed a deep learning deconvolution model to enhance the accuracy and efficiency of extracting Faraday rotation measures from radio astronomical data, specifically targeting data from the MeerKAT Galaxy Cluster Legacy Survey (MGCLS).

Methods. We used semi-supervised learning, where the model simultaneously recreates the data and minimizes the difference between the output and the true signal of synthetic data. Performance comparisons with RMCLEAN were conducted on simulated as well as real data for the galaxy cluster Abell 3376.

Results. Our semi-supervised model is able to recover the Faraday dispersion for extended rotation measure (RM) components, while accounting for bandwidth depolarization, resulting in a higher sensitivity for high-RM signals, given the spectral configuration of MGCLS. Applied to observations of Abell 3376, we find detailed magnetic field structures in the radio relics, and several active galactic nuclei. We also applied our model to MeerKAT data of Abell 85, Abell 168, Abell 194, Abell 3186, and Abell 3667.

Conclusions. We have demonstrated the potential of deep learning for improving RM synthesis deconvolution, providing accurate reconstructions at a high computational efficiency. In addition to validating our data against existing polarization maps, we find new and refined features in diffuse sources imaged with MeerKAT.
Time evolution of o-H2D+, N2D+, and N2H+ during the high-mass star formation process
Authors: Sabatini G. , Bovino S. , Redaelli E. , Wyrowski F. , Urquhart J. S. , Giannetti A. , Brand J. , Menten K. M.
Published: November 2024

Context. Deuterium fractionation is a well-established evolutionary tracer in low-mass star formation, but its applicability to the high-mass regime remains an open question. In this context, the abundances and ratios of different deuterated species have often been proposed as reliable evolutionary indicators for different stages of the high-mass star formation process.

Aims. In this study, we investigate the role of N2H+ and key deuterated molecules (o-H2D+ and N2D+) as tracers of the different stages of the high-mass star formation process. We assess whether their abundance ratios can serve as reliable evolutionary indicators.

Methods. We conducted APEX observations of o-H2D+ (110–111), N2H+ (4−3), and N2D+ (3−2) in a sample of 40 high-mass clumps at different evolutionary stages, selected from the ATLASGAL survey. Molecular column densities and abundances relative to H2, X, were derived through spectral line modelling, both under local thermodynamic equilibrium (LTE) and non-LTE conditions.

Results. The o-H2D+ column densities show the smallest deviation from LTE conditions when derived under non-LTE assumptions. In contrast, N2H+ shows the largest discrepancy between the column densities derived from LTE and non-LTE. In all the cases discussed, we found that X(o-H2D+) decreases more significantly with each respective evolutionary stage than in the case of X(N2D+); whereas X(N2H+) increases slightly. Therefore, the validity of the X(o-H2D+)/X(N2D+) ratio as a reliable evolutionary indicator, recently proposed as a promising tracer of the different evolutionary stages, was not observed for this sample. While the deuteration fraction derived from N2D+ and N2H+ clearly decreases with clump evolution, the interpretation of this trend is complex, given the different distribution of the two tracers.

Conclusions. Our results suggest that a careful consideration of the observational biases and beam-dilution effects are crucial for an accurate interpretation of the evolution of the deuteration process during the high-mass star formation process.
Observing planetary gaps in the gas of debris disks
Authors: Bergez-Casalou C. , Kral Q.
Published: November 2024

Recent ALMA observations discovered consequent amounts (i.e., up to a few 10−1 M⊙) of CO gas in debris disks that were expected to be gas-free. This gas is in general estimated to be mostly composed of CO, C, and O (i.e., H2-poor), unlike the gas present in protoplanetary disks (H2-rich). At this stage, the majority of planet formation already occurred, and giant planets might be evolving in these disks. While planets have been directly observed in debris disks (e.g., β Pictoris), their direct observations are challenging due to the weak luminosity of the planets. In this paper, with the help of hydrodynamical simulations (with FARGO3D) coupled with a radiative transfer code (RADMC-3D) and an observing tool (CASA), we show that planet-gas interactions can produce observable substructures in this late debris disk stage. While it is tricky to observe gaps in the CO emission of protoplanetary disks, the unique properties of the gaseous debris disks allow us to observe planetary gaps in the gas. Depending on the total mass of the gaseous debris disk, kinks can also be observed. We derive a simple criterion to estimate in which conditions gaps would be observable and apply it to the known gaseous debris disk surrounding HD 138813. In our framework, we find that planets as small as 0.5 MJ can produce observable gaps and investigate under which conditions (i.e., gas and planets characteristics) the substructure become observable with ALMA. The first observations of planet-gas interactions in debris disks can lead to a new way to indirectly detect exoplanets, reaching a population that could not be probed before, such as giant planets that are too cold to be detected by direct imaging.
Non-local thermodynamic equilibrium inversions of the Si I 10827 Å spectral line
Authors: Quintero Noda C. , Shchukina N. G. , Asensio Ramos A. , Martínez González M. J. , del Pino Alemán T. , Trelles Arjona J. C. , Collados M.
Published: November 2024

Inferring the coupling of different atmospheric layers requires observing spectral lines sensitive to the atmospheric parameters, particularly the magnetic field vector, at various heights. The best way to tackle this goal is to perform multi-line observations simultaneously. For instance, the new version of the Gregor Infrared Spectrograph instrument offers the possibility to observe the spectral lines at 8542 and 10830 Å simultaneously for the first time. The first spectral window contains the Ca II 8542 Å spectral line, while the Si I 10827 Å transition and He I 10830 Å triplet infrared lines can be found in the second spectral window. As the sensitivity to the atmospheric parameters and the height of formation of those transitions is different, combining them can help understand the properties of the solar photosphere and chromosphere and how they are magnetically coupled. Traditionally, the analysis of the Si I 10827 Å transition assumes local thermodynamic equilibrium (LTE), which is not the best approximation to model this transition. Hence, in this work, we examine the potential of performing non-LTE (NLTE) inversions of the full Stokes vector of the Si I 10827 Å spectral line. The results indicate that we properly infer the atmospheric parameters through an extended range of atmospheric layers in comparison with the LTE case (only valid for the spectral line wings, i.e., the low photosphere), with no impact on the robustness of the solution and just a minor increase in computational time. Thus, the NLTE assumption will help to accurately constrain the photospheric physical parameters when performing combined inversions with, e.g., the Ca II 8542 Å spectral line.
Effectiveness of Public Services through Smart City in Realizing Good Governance in Semarang City
Authors: Saputri Rivi , Mutiarin Dyah , Isolana Jack B.
Published: November 2024

This study aims to examine the effectiveness of public services through the SiHati Smart City application in realizing good governance in Semarang City. SiHati application, as part of the smart city initiative, is designed to improve the quality of public services by utilizing information and communication technology. This research used a qualitative method with a case study approach, which involved in-depth interviews, observation, and document analysis. The results show that the SiHati application has a positive impact in improving transparency, accountability, and participation in the community governance process. The application facilitates access to information, accelerates government response to community complaints, and reduces bureaucratic red tape. However, challenges remain, such as limited technological infrastructure and a lack of digital literacy among the community. Overall, this study concludes that the SiHati Smart City application is effective in realizing good governance in Semarang City, although there are some aspects that need to be improved to reach its full potential. Recommendations are given for improving technological infrastructure, digital literacy training, and developing application features that are more responsive to the needs of the community.
Smart City Implementation in Indonesian Regions: Juridical and Empirical Review
Authors: Syah Ardy Firman , Sacipto Rian , Yasin Akhmad , Maemunah Siti , Nuryadin Deden , Mutaqin Mutaqin
Published: November 2024

Smart city-based development has become a trend in the world amid the complexity of urban problems and the pace of technological development. Law No. 23 of 2014 concerning Regional Government, provides the widest possible space for regions, districts/cities to innovate in all forms of reform in the implementation of Regional Government. This study highlights the problems surrounding the role of the government in the implementation of smart cities in Indonesia, The role of the central and regional governments and community participation plays a big role for the district/city to become a smart city. Innovation in the implementation of smart cities needs to be pursued in order to formulate innovative solutions to various social, economic, and environmental challenges to improve the sustainability and livebility of cities. The government also continues to strive to build a smart city with various policies supported by regulations and budgeting, and then it is hoped that each region has its own characteristics or personal branding.
Post-Reading Activities in EFL Virtual Classrooms: An Investigation
Authors: Puspitasari Evi , Fadhila Ananda Alifa , Putri Anisa Wahyu Dwi , Aditya David Sulistiawan
Published: November 2024

Activities after reading are a significant element to bridge students’ comprehension. This study was to explore post-reading activities used in EFL classrooms in a university context and explore EFL students’ responses towards the post-reading activities implemented. To find out and analyze more accurate information, a qualitative method with case study design was employed. Two lecturers and four students from English Language Education Department in a university in Yogyakarta were indepth interviewed using an interview guideline. Additionally, this study observed the Learning Management System (LMS) in the department to complete the data. The interview and observation results were analyzed by transcribing, member checking, and coding, and triangulation process. The post-activity activities presented in the finding were group presentation, summarizing, and quiz. Overall, EFL students gave positive responses towards those activities. Three positive responses towards group presentation activity were showed: 1) making EFL students read the reading material meaningfully, 2) preparing the presentation material well by read the reading material, and 3) leading EFL students in gaining new information, ideas and developing their insight from the reading material they read. EFL students also delivered four positive responses towards summarizing activity: 1) they are supported to read a lot of journal articles, 2) They get prior information and a facility to do the next assignments, and 3) they get new information and understand the assigned journal articles, and 4) They feel positively challenged that affect their engagement. Meanwhile, two positive responses were asserted towards quiz activity: motivate EFL students to read and improve their reading comprehension. EFL teachers are recommended to vary post-reading activities for making an engaging virtual classroom.
Rural E-Commerce in China: Taobao’s Role in Transforming the Economy and Its Social Implications
Authors: Indahsari Dewi Ayu , Hung Chin Fu , Fauziah Kholifatul
Published: November 2024

This paper analyzes the evolution and impacts of rural ecommerce in China, focusing on how the Taobao Villages initiative has transformed income distribution between rural and urban areas. The study investigates how Taobao Villages, pioneered by the Alibaba Group, provide new economic opportunities in underserved rural regions. Historically, China’s rapid economic growth has concentrated in urban centers, leaving rural areas with limited access to jobs and services. To address these disparities, the Chinese government has endorsed rural ecommerce as a strategy for revitalization. Taobao Villages exemplifies this strategy by empowering rural communities to engage in e-commerce, thus raising local incomes, fostering industrial growth, and creating jobs. Employing a single-case analysis guided by theoretical propositions, this research examines the social and economic impacts of the Taobao Villages initiative. The findings underscore the initiative’s significant role in rural economic development despite challenges like the restrictive hukou system and policies favoring urban centers. The study highlights government efforts to strengthen rural e-commerce infrastructure through low-interest loans, broadband expansion, and the establishment of e-commerce parks. Results suggest rural e-commerce promotes economic equity and reduces poverty, offering a model for adaptation in other regions with similar disparities, particularly in Southeast Asia.
Economic potential and local varieties registration of Bacan Avocado from South Halmahera Regency, North Maluku
Authors: Cahyaningrum Hermawati , Hidayat Yayat , Ramdani Nugraha Dadan , Saleh Yopi , Suwitono Bayu , Wahyuni Budiarti Sri , Puji Lestari Indarti
Published: November 2024

Avocados in Bacan Island, South Halmahera Regency, and North Maluku are local accessions with advantages and the potential to be used as local superior varieties. Efforts to preserve and manage avocados in Bacan Island are carried out by characterization, identifying their uses, and documenting them. Variety protection involves a registration process at the Center for Plant Variety Protection and Agricultural Licensing (PPVTPP) of the Ministry of Agriculture to obtain a certificate of local variety ownership. The aim of this research is to determine the morphological characteristics and economic value of Bacan avocado. The characterization and inventory process were carried out from April to October 2021 in Kampung Makian Village, South Halmahera Regency. Morphological identification includes quantitative and qualitative characteristics of plant parts, stems, leaves, flowers, fruits, and seeds based on IPGRI avocado description guidelines. Complete data and information on plant characteristics are recorded in standard forms and registered to PPVTPP. The results show that the avocado with the local name Afokat Bacan was registered as a local variety on 23 December 2021 with ownership certificate number 1816/PVL/2021. Afokat Bacan has economic value and is prospective in business development in North Maluku as a source of income and providing employment opportunities for the community. The potential economic value of avocado production in North Maluku in IDR. 27,348,000,000/ year.
Analysis Efficiency of Rice Production in Satar Mese District, Manggarai Regency, East Nusa Tenggara
Authors: Anggarawati Sari , Shidan Nur Alliyin Muhamad , Agung Eka Suwarnata Anak , Budibruri Wibaningwati Dyah
Published: November 2024

The Integrated Village Economic Transformation (TEKAD) program focuses on Satar Mese District, Manggarai Regency, East Nusa Tenggara Province, which produces the superior commodity of lowland rice. Many factors influence the production of lowland rice, and it remains necessary to identify the most significant and efficient ones. In addition, the effectiveness of pesticide and non-pesticide use in rice production is still a mystery. The aim of the research is to analyse the influence of paddy production factors on production, the level of efficiency in using production factors, and compare farmers who use and do not use pesticides. The sample consisted of 60 farmers. The analysis methods are multiple linear regression of the Cobb-Douglas function, economic efficiency analysis, and comparative productivity analysis. The results of the partial regression analysis show that land area, seeds, fertilizer, and pesticides have a significant effect, while labor factors do not. A simultaneous regression analysis confirms the significant influence of all production factors. Furthermore, analysis of the economic efficiency of lowland rice production shows that the production factor of land area is efficient, while seeds, fertiliser, pesticides, and labour are economically inefficient. There is no difference in production between lowland rice farming with pesticides and non-pesticides.
Production And Risk Affecting Factors of Soybean Farming in Banyumas Regency Central Java Province, Indonesia
Authors: Kartika Eka Wijayanti Irene , Darmawati Putri Dindy , Kusnaman Djeimy , Al Ghifari M. F. , Yuliyana A. S. , Mulyani Altri , Adhi Saputro Wahyu
Published: November 2024

Indonesia’s soybean consumption is rising in tandem with population growth, but it is not keeping pace with output. Farmers need to be encouraged to continue planting soybeans. The purpose of this study is to establish the function of soybean production, including production hazards and affecting factors in Banyumas Regency. The study was conducted in Banyumas Regency in August and October of 2023. Using simple random selection, 200 farmers who planted soybeans in 2022 were chosen from a population of about 2000 farmers. The Ordinary Least Squares (OLS) approach in conjunction with the Cobb-Douglas function was the data analysis tool used to identify significant variables influencing soybean production. The level of risk connected to soybean yield was determined using the coefficient of variation. Finally, Just and Pope’s production risk function model was utilized to identify the components influencing the risk of soybean production. The findings showed that labor, land area, fertilizers, seeds, and insecticides all significantly affect soybean production. There is a high level of production risk associated with soybean farming in Banyumas Regency, with a coefficient variation of 0.54 (≥0.5); and labor has no significant effect on soybean production risk, while land area, fertilizers, seeds, and insecticides do.
People Interest in Buying Officially Certified Halal Labeled Sausage Products (Case Study in Wirokerten Village)
Authors: Widodo  , Lupitaningrum Asna
Published: November 2024

Currently, food products are processed using advanced technology; therefore, consumers cannot manually ascertain the halalness of food. Consumers are relying on the assurance provided by the halal certification institution. This study aims to identify and differentiate individuals’ attitudes, subjective norms, behavioral control, and interests near and distant from the Islamic Boarding School in Wirokerten Village regarding buying officially certified halal-labeled sausage. This research was conducted in Wirokerten Village, particularly at Kepuh Kulon hamlet, adjacent to the Islamic Boarding School, and Grojogan hamlet, which is distanced from the Islamic Boarding School. Incidental sampling was utilized to conduct 120 respondents. The data was analyzed using the Theory of Planned Behavior by Ajzen and Fishbein. The findings indicated no difference in individuals’ attitudes between the hamlets. No difference in subjective norms was observed between the hamlets, exhibiting a neutral average score. There is no distinction in behavioral regulation between the two hamlets. The interest in acquiring sausage products officially certified halal in the two hamlets is moderate, with an average score of 14.51 near the Islamic Boarding School and 14.27 distant from it. Based on the existing results, it is necessary to conduct research related to buying interest in halal-labeled products in locations where Muslims do not dominate.
Economic Analysis of Fish Exports in ASEAN Countries
Authors: Yuliadi Imamudin , Dwisyahputri Rani
Published: November 2024

This research aims to analyze the determinants of fish exports in ASEAN countries from 2012 to 2021. The data used in this research were obtained from official sources that pertain to fish exports in each ASEAN member country. A panel data regression approach was implemented as the analysis method. Gross Domestic Product (GDP), currency exchange rate (ER), FP (fish production), Total population (Pop), and number of ports (NP) were the variables that were observed. The analysis results revealed that GDP, currency exchange rate, and fish production variables significantly influenced fish exports from ASEAN countries. Nevertheless, the population (JPNTE) variables and number of ports (JP) were not found to have a substantial impact on fish exports. These findings suggest the importance of macroeconomic and production factors in determining fish export performance, while factors such as population and number of ports did not significantly influence.
Analysis of Production Risk in Red Chilli Farming on Coastal Land Using a Shower Irrigation System in Panjatan District, Yogyakarta
Authors: Risvansuna Fivintari Francy , Safirah Meiditia Putri , Arumugam Nalini , Iriani Ekawati Francy
Published: November 2024

The agro-climatic challenges of red chili farming on coastal land require farmers to use production factors that are better in quantity and quality. The risks faced by farmers on sandy land include low levels of nutrients in the land, strong winds that cause plants to easily collapse, porous characteristics of the land, so it requires more water than paddy fields. The irrigation system is important to anticipate optimal watering. This research aims to determine the factors that influence the production and risk of red chili production, as well as determine the relationship between the use of these factors on the production and risk of red chili production using a shower irrigation system on coastal land in Panjatan District, Yogyakarta. Respondents were taken using the census method with a total of 50 farmers. The analysis uses a Cobb-Douglass type production function model based on Just and Pope. The results of the research show that the factors that influence red chili production on coastal sand land with a shower irrigation system are land area, seeds, liquid insecticide and solid fungicide. The factors that influence the risk of red chili production are phonska, liquid herbicide, labor and irrigation fuel costs.
Supply chain performance of sea food from Kobong Market Semarang through seahood fresh market in Sleman Indonesia
Authors: Susanawati  , Aida Z.N.
Published: November 2024

Fisheries supply chain is an activity that starts from fishermen as producers of raw materials to final consumers as buyers. This study aimed to (1) Describe the seafood supply chain through Seahood in Sleman Regency; (2) Analyze the performance of the seafood supply chain through Seahood in Sleman Regency in terms of product flow, money flow, and information flow. The location was in Sleman Regency, which was deliberately chosen because it was not directly adjacent to the sea so that in meeting the needs of seafood consumption in the community required suppliers from outside the district. Sampling in this study was carried out in stages, the first stage of sampling fishermen and the second stage of actors after fishermen. The sample was taken by using snowball sampling technique combined with information from Seahood. There were 43 respondents in this study, consisting of 6 fishermen, 1 collector, 1 wholesaler, 1 retailer, 1 Seahood manager, and 33 consumers. The results are composed of 6 actors who formed a supply chain. The actors consisted of fishermen, collecting traders, wholesalers, retailers, Seahood managers, and was ended consumers. The overall performance of the seafood supply chain through Seahood in Sleman Regency was in good condition.
Investigation of oil palm fruit bunch ripeness classification using machine learning classifiers
Authors: Zulkhoiri Muhammad Arif , Ali Hasimah , Ahmad Zaidi Ahmad Firdaus , Mohd Kanafiah Siti Nurul Aqmariah , Jusman Yessi , Elshaikh Mohamed , Tuan Noor Tuan Muhammad Taufiq Aiman
Published: November 2024

The palm oil industry, particularly in Southeast Asia, relies heavily on accurate ripeness classification of oil palm fruit bunches to ensure high-quality oil production. Despite advances in palm oil classification, distinguishing between different ripeness levels remains challenging due to subjective human judgment and labor-intensive traditional methods. This study proposes an intelligent classifier using color-based features to classify oil palm fruit bunches into three categories: ripe, half-ripe, and unripe. This framework involved capturing images of oil palm fruit bunches at Felda Chuping 2 using commercial camera, followed by image pre-processing such as resizing and cropping. Color-based features by means HSV-, RGB- and YCbCr-based features were extracted and used as significant features. The mean and standard deviation of colour-based features were then subjected to k-Nearest Neigbour (kNN) and Support Vector Machine (SVM) classifier utilizing two different strategies of hold-out and 10-fold cross-validation. Based on the results obtain, the YCbCr based features using kNN classifier achieved 97.40% (hold-out) and YCbCr based features using SVM classifier gives the highest recognition which is 100% (10-fold). The results shows that the use of colour space features able in distinguishing the ripeness levels of oil palm fruit bunches, thus considered as promising approach to be implemented in real-time application.
Local Community Consumption Patterns: The Influence of Social and Economic Conditions on Regional Development
Authors: Istiqomah Ni’matul , Hasyim Ibnu Abbas Muhammad , Ema Malinda Manal
Published: November 2024

Consumption patterns are a picture of information about the amount, type, and frequency of food consumed by community groups. This research aims to discover how society’s social and economic conditions influence consumption patterns in regional development. This type of research is quantitative descriptive research. The population in this study was 192 families in Krajan Hamlet, Kalisat Pasuruan Village, with samples taken based on the Slovin formula of 130. The simultaneous effect in this study was 16.8%. This influence tends to be small because other factors influence people’s consumption patterns apart from social and economic conditions. Other influencing factors are income, level of knowledge, food availability factors, and socio-cultural factors. Income has an essential role in influencing people’s consumption patterns. The higher the income, the more people’s consumption patterns will increase. The level of knowledge increases people’s consumption patterns because people are aware of nutritional patterns. Meanwhile, socio-cultural factors have a role in influencing consumption patterns because the traditional environment also has a role in influencing a person’s consumption patterns. Recommendations for further research include choosing variables other than social and economic factors influencing family consumption patterns.
Application of the Community Economic Development Approach to Enhance the Development of Participatory-based Cultural Ecotourism in Palparan Rural Area
Authors: Purboyo Priambodo Magistyo
Published: November 2024

The development of an attractive tourist destination frequently occurs by community involvement in tourism management. A distinct study examines the involvement of local community members who take on the role of regional administrators in the development of tourism destinations, with the goal of optimizing the potential of traditional cultural arts. The involvement of the community in the management of a tourist destination fosters its development. It is expected that human resources who are prepared to oversee the tourist village and the infrastructure and amenities that it must have will be able to increase the village community's profits. This research is attempting to explain the relevant applications in the development of cultural ecotourism supported by local community participation. Through qualitative analysis methods with a community-based local economic development approach applied to the research location so as to provide real conditions and what exists. The results of this study indicate that Pagelaran village has great potential to create distinctive cultural ecotourism attraction. Components emerged in the form of local community sociocultural preservation, environmental conservation, and economic development. It is also explained that the components of livehood focused, inclusiveness, sustainability, place-based and group control related to community ecotourism are increasing.
A Current Situation of Agricultural Practices: A Report on Cultivation Methods from an Isolated Village in Java’s Karst Mountains
Authors: Wisnu Rubiyanto Cahyo , Susanti Wiwi
Published: November 2024

Farmers interviews with focus group discussion and a yield observation were conducted to understand the current condition of agricultural practices and cultivation method by the local people in Gunungkidul, Yogyakarta, the largest Karst area in Indonesia. Participatory Rural Appraisal was conducted to observe and monitor the respondent with the total number of respondents interviewed was nine. This study aims to provide insights into the agricultural practice of the remote community. The finding of this study showed that traditional agricultural practices combined with innovative intercropping methods were so important for local people to ensure food security and sustaining livelihoods. This study suggests exploring advanced techniques and technologies to improve the traditional intercropping methods. Further research should also investigate the long-term socio-economic and environmental impacts of these practices to enhance sustainability in similar resource-limited areas.