bluuebunny/crossref_metadata_2025 huggingface dataset:
The Evaluation of Implementation of Integrated Pest and Disease Control by Farmers of Food and Holticultural Corps in Banyuasin and Ogan Komering Ulu Timur
Authors: SHK Suparman , Arsi  , Gunawan Bambang , Umayah Abu , Pujiastuti Yulia , Hamidson Harman
Published: July 2023

Reducing crop cultivation is providing ecological biota for plants through Integrated Pest Management (IPM). Farmers' problems regarding pests and diseases in Banyuasin and OKU Timur, especially for food crops and horticulture farmers. The purpose of this research is to evaluate the compliance of food crops and horticulture farmers in implementing safe and environmentally friendly IPM. Study on various fields of food and horticulture farmers in Banyuasin and Ogan Komering Ulu. The research method used is purposive sampling. Observation of Plant Pests and Diseases was completed directly in the field. Then determine the disease score in each sample plant. The parameters observed in this study are the behavior of farmers towards the decision-making process of using pesticides. Pest and disease intensity, and disease attack percentage were analyzed descriptively in the form of tables and graphs, as well as correlation analysis. The highest value of diversity of pests and diseases of food and horticultural crops based on the entire area of the observed land was found in a land area of 0.25 ha, which is the area that is often found in land for crop cultivation. The average age percentage of farmers in Banyuasin and OKU East is 40 to 50 years old. The average education of farmers in Banyuasin and OKU Timur is 24 farmers. The percentage and intensity of both horticultural and food crops in Banyuasin are good because only a few farmers get a score of 2 or 1. Cultivation techniques are land preparation, land sanitation, selection of resistant varieties, spacing, irrigation, crop rotation, intercropping, mulching, natural enemies of insects, and weeding.
The Prediction of The Drought Index in The Indragiri Watershed Using SARIMA and SPI Methods
Authors: Widdya Rahmalina  , Mulyati Asrina , Hayati Nova , Widya  , Darfia Novreta Ersyi
Published: July 2023

Farmers are concerned about the problem of drought in agriculture because it will disrupt the production system and cause losses. In 2015, the Indragiri Hulu area experienced a drought on 273 hectares of agricultural land. This area is part of the Indragiri River Watershed in Riau Province. To prevent the impact of future droughts, forecasting is required. The level of drought is influenced by rainfall, so the Seasonal Auto Regressive Integrated Moving Average (SARIMA) method is used to model rainfall data. In addition, the Standardized Precipitation Index (SPI) is also used to analyze the drought index. After the analysis, it was found that the best model in forecasting is SARIMA model (1,0,1)(2,1,1)12 with an average residual square of 18.0175, and the drought index in the Indragiri watershed is currently included in the  "Normal" category. The results of this forecasting are expected to assist the Riau Province National Disaster Management Agency in anticipating and mitigating the impact of future drought disasters.
Characteristics of Xanthidae Crab in the Intertidal Zone at Gili Meno Beach, West Nusa Tenggara
Authors: Syuhriatin Syuhriatin , Mardiyanto Rahayu Slamet , Swandayani Rosalina Edy
Published: July 2023

Gili Meno is one of the leading small (gili) tourist islands in North Lombok Regency, West Nusa Tenggara Province. Massive tourism activities have an impact on marine biota, including crabs. This research is to determine the characteristics of the crab family of Xanthidae in the intertidal zone of Gili Meno Beach, North Lombok Regency, West Nusa Tenggara Province. The research was conducted using an exploratory method by measuring the abiotic factors of the aquatic environment which is the habitat of crabs. Based on the research, two species of crab from the family of Xanthidae were obtained: Actaeodes tomentosus and Atergatis floridus. A. tomentosus has a relatively rough carapace while A. floridus has a relatively smooth carapace. Both like habitats with sandy substrates with reefs and coral rubble as protection from predators and waves. Abiotic factors: temperature and pH in the intertidal waters of Gili Meno Beach which are suitable for the growth, development and distribution of the two crab species.
Abstract argumentation with conditional preferences
Authors: Bernreiter Michael , Dvořák Wolfgang , Woltran Stefan
Published: July 2023

In this paper, we study conditional preferences in abstract argumentation by introducing a new generalization of Dung-style argumentation frameworks (AFs) called Conditional Preference-based AFs (CPAFs). Each subset of arguments in a CPAF can be associated with its own preference relation. This generalizes existing approaches for preference-handling in abstract argumentation, and allows us to reason about conditional preferences in a general way. We conduct a principle-based analysis of CPAFs and compare them to related generalizations of AFs. Specifically, we highlight similarities and differences to Modgil’s Extended AFs and show that our formalism can capture Value-based AFs. Moreover, we show that in some cases the introduction of conditional preferences leads to an increase in computational complexity.
Identifying Suitable Targets for Alzheimer’s Disease and Other Eight Common Neurological Disorders Using the Human Plasma Proteome: A Mendelian Randomization Study
Authors: Wei Tao , Shi Xiaolei , Sun Wei , Song Weiyi , Zhou Shaojiong , Zhao Yiwei , Wang Zhibin , Tang Yi
Published: July 2023

Background:

Neurological disorders, such as Alzheimer’s disease (AD), comprise a major cause of health-related disabilities in human. However, biomarkers towards pathogenesis or novel targets are still limited.

Objective:

To identify the causality between plasma proteins and the risk of AD and other eight common neurological diseases using a Mendelian randomization (MR) study.

Methods:

Exposure data were obtained from a genome-wide association study (GWAS) of 2,994 plasma proteins in 3,301 healthy adults, and outcome datasets included GWAS summary statistics of nine neurological disorders. Inverse variance-weighted MR method as the primary analysis was used to estimate causal effects.

Results:

Higher genetically proxied plasma myeloid cell surface antigen CD33 level was found to be associated with increased risk of AD (odds ratio [OR] 1.079, 95% confidence interval [CI] 1.047–1.112, p = 8.39×10-7). We also discovered the causality between genetically proxied elevated prolactin and higher risk of epilepsy (OR = 1.068, 95% CI = 1.034–1.102; p = 5.46×10-5). Negative associations were identified between cyclin-dependent kinase 8 and ischemic stroke (OR = 0.927, 95% CI = 0.896–0.959, p = 9.32×10-6), between neuralized E3 ubiquitin-protein ligase 1 and migraine (OR = 0.914, 95% CI = 0.878–0.952, p = 1.48×10-5), and between Fc receptor-like protein 4 and multiple sclerosis (MS) (OR = 0.929, 95% CI = 0.897–0.963, p = 4.27×10-5).

Conclusion:

The findings identified MR-level protein-disease associations for AD, epilepsy, ischemic stroke, migraine, and MS.
Qualitative and quantitative features of deep endometriosis in contrast-enhanced ultrasound: An initial experience and literature review
Authors: Zheng Zijie , Zhang Shen , Zheng Cheng , Wang Ruxue , Zhang Yanping , Chen Peixin , Zhou Shanglan , Luo Baoming , Di Na
Published: July 2023

PURPOSE:

This research aims to present the findings of contrast-enhanced ultrasound (CEUS) in a series of patients with proven deep endometriosis (DE) and provide an updated literature review.

MATERIALS AND METHODS:

Between January 2018 and October 2022, seven patients with DE lesions had their imaging and medical records retrospectively reviewed. Clinical data, recorded images of a standardized conventional B-mode ultrasound, and Sonovue® CEUS were interpreted by two blinded, independent, experienced radiologists in consensus. The enhanced characteristics of the DE lesion on CEUS were also assessed using VueBox® software quantitatively.

RESULTS:

DE lesion appeared as irregular hypoechoic or heterogeneous on conventional ultrasound with dotted blood flow signal on color Doppler. Six of seven DE lesions showed heterogeneous hypo-enhancement in arterial phases. All the lesions showed a heterogeneous washout rapidly that began in the late arterial phase. In quantified analysis, the mean relative peak enhancement compared with adjacent tissue was 0.47±0.25.

CONCLUSION:

Our findings and literature review suggested that CEUS could be a feasible and promising non-invasive modality for diagnosing DE.
Diagnostic Sensitivity and Specificity of Cognitive Tests for Mild Cognitive Impairment and Alzheimer’s Disease in Patients with Down Syndrome: A Systematic Review and Meta-Analysis
Authors: Nadeau Patricia A. , Jobin Benoît , Boller Benjamin
Published: July 2023

Background:

Improved health care for people with Down syndrome (DS) has resulted in an increase in their life expectancy therefore increasing comorbidities associated with age-related problems in this population, the most frequent being Alzheimer’s disease (AD). To date, several cognitive tests have been developed to evaluate cognitive changes related to the development of mild cognitive impairment (MCI) and AD in people with DS.

Objective:

Identify and evaluate available cognitive tests for the diagnosis of MCI and AD in people with DS.

Methods:

A systematic search of the Pubmed and PsycInfo databases was performed to identify articles published from January 1, 2000 and July 1, 2022. Keysearch terms were DS, AD or MCI, cognition, and assessment. Relevant studies assessing the diagnostic accuracy of cognitive tests for AD or MCI with standard clinical evaluation were extracted. Risk of bias was assessed using the QUADAS 2.

Results:

We identified 15 batteries, 2 intelligence scales, 14 memory tests, 11 executive, functioning tests, 11 motor and visuospatial functioning tests, 5 language tests, 3 attention tests, and 2 orientation tests. Analysis showed that the CAMCOG-DS present a fair to excellent diagnostic accuracy for detecting AD in patients with DS. However, for the diagnosis of MCI, this battery showed poor to good diagnostic accuracy.

Conclusion:

The findings highlight important limitations of the current assessment available for the screening of mild cognitive impairment and AD in patients with DS and support the need for more clinical trials to ensure better screening for this highly at-risk population.
Alzheimer’s Disease and Sex-Dependent Alterations in the Striatum: A Lesson from a Mouse Model
Authors: La Barbera Livia , D’Amelio Marcello
Published: July 2023

In the last years, many clinical studies highlighted sex-specific differences in the pathophysiology of Alzheimer’s disease (AD). The recent paper published in the Journal of Alzheimer’s Disease shows the influence of sex on amyloid-β plaque deposition, behavior, and dopaminergic signaling in the 5xFAD mouse model of AD, with worse alterations in female mice. This commentary focuses on the importance of recognizing sex as a key variable to consider for a more precise clinical practice, with the challenge to develop sex-specific therapeutic interventions in neurodegenerative diseases such as AD.
Certain investigation on optimization technique for sensor nodes in the bio medical recording system
Authors: Ponsam J. Godwin , Nimala K. , Mohammad Gousebaig , Shitharth S. , Radha Vijaya Kumar Reddy , Srinivasa Rao B. , Srihari K. , Chandragandhi S.
Published: July 2023

The creation of sensor-based software for health monitoring using Internet of Things (IoT) technology is the main goal of this project. The program’s objective is to continuously monitor human physiological data, including ECG, SPO2, heart rate, and respiration, by employing biomedical sensor networks. These sensors collect data, which is then processed by a processor and transmitted to an edge server through a transceiver. A node of corner facilitates for real transmission has processed each data will be patient’s phone and the clinicians’ LED display. To address the optimization challenge, the program utilizes a Double Deep-Q-Network approach, with parameters optimized using a hybrid genetic algorithm-based simulated annealing technique. However, healthcare records obtained from the sensors are susceptible to change due to environmental factors, leading to potential performance issues. In order to overcome this challenge, an optimization approach is employed to refine the proposed technique, ensuring accurate prediction of readings. The study conducted experiments to evaluate the program’s performance, utilizing various metrics and different parameters. The results to provide light on how well the program that was created for leveraging IoT technologies for health monitoring is working. This study presents an innovative sensor-based program for IoT technology-based health monitoring, which continuously monitors human physiological data. The program incorporates a hybrid optimization approach to ensure accurate prediction of readings, accounting for environmental factors. The proposed Double Deep-Q-Network and the evaluation metrics employed demonstrate the originality and contributions of this research in advancing health monitoring systems.
Novel hybrid CNN with Bi-LSTM multi-focus image fusion method based on modified tetrolet transform in MRI and CT images
Authors: Nisha A.S. , Siva Rani T.S.
Published: July 2023

The process of fusing different images from various imaging modalities into a single, fused image that contains a wealth of information and improves the usability of medical images in real-world applications is known as medical image fusion. The most useful features from data can be automatically extracted by deep learning models. In the recent past, the field of image fusion has been preparing to introduce a deep learning model. In this work we can achieve the multi-Focus medical image fusion by hybrid deep learning models. Here the relevant health care data are collected from database (CT & MRI brain images). Following the input images are pre-processed using sliding window and the abnormal data is eliminated using distribution map method. Further the proposed work comprises 3 steps, 1) the proposed method is used to extract the features from the input image using the modified Tetrolet transform (MMT), which uses a brain image as an input image. This model is capable of identifying anomalous trends in time series data and automatically deriving from the input data characteristics that characterise the system state.2) Propose a novel hybrid model based on CNN with Bi-LSTM (Bi-directional Short Term Memory) multi-focus image fusion method to overcome the difficulty faced by the existing fusion methods. 3) This hybrid model are used to predict the brain tumor present in the fused image. Finally, experimental results are evaluated using a variety of performance measures. From the results, we can see that our suggested model contributes to an increase in predictive performance while also lowering the complexity in terms of storage and processing time.
Automatic sarcasm detection in Arabic tweets: resources and approaches
Authors: Mihi Soukaina , Ait Benali Brahim , Laachfoubi Nabil
Published: July 2023

Sentiment analysis has become a prevalent issue in the research community, with researchers employing data mining and artificial intelligence approaches to extract insights from textual data. Sentiment analysis has progressed from simply classifying evaluations as positive or negative to a sophisticated task requiring a fine-grained multimodal analysis of emotions, manifestations of sarcasm, aggression, hatred, and racism. Sarcasm occurs when the intended message differs from the literal meaning of the words employed. Generally, the content of the utterance is the opposite of the context. Sentiment analysis tasks are hampered when a sarcastic tone is recognized in user-generated content. Thus, automatic sarcasm detection in textual data dramatically impacts the performance of sentiment analysis models. This study aims to explain the basic architecture of a sarcasm detection system and the most effective techniques for extracting sarcasm. Then, for the Arabic language, determining the gap and challenges.
Planning for pharma supply chain under uncertainty considering inventory optimization
Authors: Birong Zhang
Published: July 2023

In this paper, a bi-objective mixed-integer linear programming model is constructed to manage the pharmaceutical supply chain of a hospital. The proposed model aims to concurrently reduce the overall cost of obtaining drugs from several vendors and choose the best suitable source. The suggested model takes into account supplier distance, inventory management, and multi-product and multi-period. The major assumptions of the proposed model are product storage for future periods of decreased demand and supplier capacity. The results indicate that the ideal approach can minimize hospital supply and pharmaceutical planning expenses. The Best-Worst and TOPSIS methods determine which pharmaceutical supplier should be selected for future orders. The suggested model identifies human resource capability as an essential factor that might significantly affect the system’s total cost. The results of applying the model and the sensitivity analysis validate the efficacy and validity of the suggested mathematical model and solution strategy.
Model transformation and code generation using a secure business process model
Authors: Mythily M. , David Beaulah , Venkatesan R. , Joseph Iwin Thanakumar
Published: July 2023

Emerging daily, new devices and software-driven advancements pose challenges in software development, including errors, bugs, and evolving requirements. This leads to delays in delivery. Ensuring software security within the Software Development Life Cycle (SDLC) is crucial. To address this, the research focuses on incorporating security aspects early in the SDLC through model transformation. Platform-independent models with security attributes like Integrity, Privacy, Security Audit, non-repudiation, and authentication are generated. A template-based source code generator is utilized to create the structure of the source model. The Secure Business Process Model (SBPM) encompasses Unified Modeling Language (UML) artifacts, such as analysis level classes and sequence diagrams, enriched with security attributes derived from the activity model. Security requirements are linked to elements extracted from the source model, and structural codes with security-enabled members are produced. Automation in software development is inevitable, though not complete, as it plays a vital role in addressing these challenges and improving the security of software applications.
A new energy vehicle supply chain member game based on triangular fuzzy numbers
Authors: Fan Jianping , Chai Mingxuan , Wu Meiqin
Published: July 2023

The competition in the new energy vehicle industry has intensified with the rapid development of the industry. In order to create innovative products, many businesses are now seeking cooperation with their supply chain members. Previous research on the new energy vehicle supply chain has mainly focused on government policies, supply chain retailers and with consumer gaming issues. This manuscript examines the problem of cooperation decisions between members of the new energy vehicle supply chain, namely a battery manufacturer and vehicle producer. The benefits of the two members are analyzed by constructing two models, one with non-incentives and the other with government incentives. The model uses the triangular fuzzy number (TFN) instead of parameters in numerical calculations, taking complete account of the influence of uncertain environmental factors and using the triangular structured element method. The numerical examples result that government incentives positively promote cooperation between the two players, but the incentives should be as equal as possible. Finally, we aim to encourage supply chain members to cooperate and promote the development of the new energy vehicle industry. This study has positive implications for future supply chain member cooperation issues.
Parameter estimation of the hydraulic turbine regulator system using multi-objective lion algorithm
Authors: Bergamini Mariane Gavioli , Oliveira Gustavo H.C. , Ribeiro Eduardo P. , Leandro Gideon Villar
Published: July 2023

Accurate modeling of electric power generating unit and its hydraulic turbine regulation systems provides support for the speed controller synthesis and stability analysis. It is however a difficult task due to the presence of many non-linear factors in this system. an approach to estimate the parameters of hydraulic turbine regulatory system models is to derive the physical representation of each component and, through simulation, to compare to compare their models, outputs with real data obtained from a hydroelectric plant located in Brazil. The objective of this paper is to find the best values that will represent the system under study as a whole. This problem can be seen as an optimization problem. To find its feasible and optimal solution, this work proposes a new metaheuristics multi-objective based on the Lion Algorithm (LA), called the Multi-Objective Lion Algorithm (MOLA), and its application in the estimation of parameters of the system under study. In addition, the new metaheuristic proposed is validated by using a set of benchmark cases. The results have demonstrated that MOLA outperforms or at least performs similarly to Multi-objective Grey Wolf Optimizer (MOGWO), Multiple Objective Particle Swarm Optimization (MOPSO), Multi-objective Salp Swarm Algorithm (MSSA), Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D), and Non-dominated Sorting Genetic Algorithm III (NSGA-III) in the optimization of multi-objective benchmark functions. These results, suggest that the proposed MOLA algorithm works efficiently.
Air quality prediction based on Long Short-Term Memory Model with advanced feature selection and hyperparameter optimization
Authors: Wu Huiyong , Yang Tongtong , Wu Harris , Li Hongkun , Zhou Ziwei
Published: July 2023

Good air quality is one of the prerequisites for stable urban economic growth and sustainable development. Air quality is influenced by a range of environmental elements. In this study, seven common air pollutants and six kinds of meteorological data in a major city in China are studied. In this urban setting, the air quality index will be estimated based on a Long Short-term Memory (LSTM)model. To improve prediction accuracy, the Random Forest (RF) method is adopted to choose important features and pass them to the LSTM model as input, an improved sparrow search algorithm (ISSA) is used to optimize the hyperparameters of the LSTM model. According to the experimental findings, the RF-ISSA-LSTM model demonstrates superior accuracy compared to both the basic LSTM model and the ISSA-LSTM fusion model.
Surface defect segmentation of magnetic tiles based on cross self-attention module
Authors: Liu Hong , Wang Gaihua , Li Qi , Wang Nengyuan
Published: July 2023

The detection of magnetic tile quality is an essential link before the assembly of permanent magnet motor. In order to meet the high standard of magnetic tile surface defect detection and realize the rapid and automatic segmentation of magnetic tile defects, a magnetic tile surface defect segmentation algorithm based on cross self-attention model (CSAM) is proposed. It adopts high-low level semantic feature fusion method to build the dependency relationship between the deep and shallow features. Multiple auxiliary loss functions are used to constrain the network and reduce the noise in the deep features. In addition, an image enhancement method is also designed to solve the problem of insufficient annotated data. The experimental results show that the network can achieve 79.6% mIoU and 98.5% PA, which can meet the high standard requirements of magnetic tile manufacturing.
FEFR: Feature early fusion and reconstruction for online knowledge distillation
Authors: Liang Xingzhu , Liu Wen , Bi Feilong , Yan Xinyun , Zhang Chunjiong
Published: July 2023

Online knowledge distillation breaks the pre-determined strong and weak teacher-student models, it provides a new way of thinking about knowledge distillation. However, the current online methods often use the Logits-based prediction distribution, and the features containing rich semantic information are rarely used. Even if the feature-based methods are used, they only operate on the last layer of the network, without further exploring the representation knowledge of the middle layer feature map. To address the above issues, we propose an innovative feature early fusion and reconstruction (FEFR) method for online knowledge distillation which entails four essential components: multi-scale feature extraction and intermediate layer feature early fusion, reconstruction of features, dual-attention and overall fusion module in this paper. We propose early fusion by “sum” operation for feature matrices between different layers and advance fusion to improve the feature map representation. In order to enhance the communication ability between groups to obtain features, the features were reconstructed. We create a dual-attention to enhance the critical channel and spatial regions adaptively in order to collect more accurate information. The previously processed feature maps are combined and fused using feature fusion, which also aids in student models training. A study of the network architectures of CIFAR-10, CIFAR-100, CINIC-10 and ImageNet 2012 shows that FEFR provides more useful characterization knowledge for refinement and improves accuracy by about 0.5% compared to other methods.
Safeguard confidential web information from malicious browser extension using Encryption and Isolation techniques
Authors: Marimuthu M. , Mohanraj G. , Karthikeyan D. , Vidyabharathi D.
Published: July 2023

Web browsers have become an integral part of our daily lives, granting us access to vast information and services. However, this convenience significantly risks personal information and data security. One common source of this risk is browser extensions, which users often employ to add new features to their browsers. Unfortunately, these extensions can also pose a security threat, as malicious ones may access and steal sensitive information such as passwords, credit card details, and personal data. The vulnerability of web browsers to malicious extensions is a significant challenge that effectively tackles through robust defence mechanisms. To address this concern, Secure Vault – API is proposed and designed to safeguard confidential web page content from malicious extensions. The Web Crypto API provides cryptographic functions that protect data during transmission and storage. The Secure Vault encompasses a Sentinel extension responsible for parsing the web page’s Document Object Model (DOM) content and querying for all “vault” elements. The extension then verifies that the DOM content has not been tampered with by any malicious extension by calculating the SHA512 hash value of the concatenated vault elements as a string, with no whitespace between them. With its encryption, hashing, and isolation techniques, the Secure Vault effectively protects confidential web page content from malicious extensions. It provides a secure environment for storing and processing sensitive data, reducing the risk of data breaches caused by malicious extensions. The proposed approach offers significant advantages over existing strategies in terms of protecting confidential web page content from malicious extensions. This not only improves the efficiency and effectiveness of the browser extensions but also ensures compatibility, interoperability and performance across different web browsers with respect to the load time of HTML elements. Users can browse the web and carry out sensitive transactions with peace of mind, knowing their data is safeguarded against theft or manipulation by malicious extensions.
Determination and categorization of Red Blood Cells by Computerized framework for diagnosing disorders in the blood
Authors: Yadav Vishakha , Ganesh P. , Thippeswamy G.
Published: July 2023

The determination and categorization of red blood cells (RBCs) from microscopic pictures is a critical step in the diagnosis of sickle cell disease (SCD). Traditionally, such procedures are performed manually by pathologists using a light microscope. Furthermore, manual visual evaluation is a time-consuming operation that relies on subjective judgment, resulting in variations in RBC recognition and counts. Mature If there is a blood problem, RBCs suffer morphological alterations. There are both automated and manual systems available on the market for counting the number of RBCs. Manual counting entails collecting blood cells with a Hemocytometer. The traditional procedure of exposing the smear below a microscope and physically measuring the cells yields inaccurate findings, putting clinical laboratory staff under stress. Automatic counters are incapable of detecting aberrant cell. The computer-aided method will assist in achieving accurate outcomes in minimum time. In this study presents an image processing method for separating red blood cells from several other blood products. Its goal is to analyze and interpret blood smear images to aid in the categorizing of red blood cells across 11 categories. The WBCs are extracted from the image using the K-Medoids technique, that is resistant to exterior disturbance. Granulometric assessment has been used to distinguish between red and WBCs. Feature extraction is used to obtain important features that aid in categorization. The categorization outcomes aid in a rapid diagnosis of disorders such as Normochromic, Iron Deficiency, Hypochromic, Sickle Cell, and Megaloblastic.
Gait Declines Differentially in, and Improves Prediction of, People with Parkinson’s Disease Converting to a Freezing of Gait Phenotype
Authors: Virmani Tuhin , Landes Reid D. , Pillai Lakshmi , Glover Aliyah , Larson-Prior Linda , Prior Fred , Factor Stewart A.
Published: July 2023

Background:

Freezing of gait (FOG) is a debilitating, variably expressed motor symptom in people with Parkinson’s disease (PwPD) with limited treatments.

Objective:

To determine if the rate of progression in spatiotemporal gait parameters in people converting from a noFOG to a FOG phenotype (FOGConv) was faster than non-convertors, and determine if gait parameters can help predict this conversion.

Methods:

PwPD were objectively monitored longitudinally, approximately every 6 months. Non-motor assessments were performed at the initial visit. Steady-state gait in the levodopa ON-state was collected using a gait mat (Protokinetics) at each visit. The rate of progression in 8 spatiotemporal gait parameters was calculated. FOG convertors (FOGConv) were classified if they did not have FOG at initial visit and developed FOG at a subsequent visit.

Results:

Thirty freezers (FOG) and 30 non-freezers were monitored an average of 3.5 years, with 10 non-freezers developing FOG (FOGConv). FOGConv and FOG had faster decline in mean stride-length, swing-phase-percent, and increase in mean total-double-support percent, coefficient of variability (CV) foot-strike-length and CV swing-phase-percent than the remaining non-freezers (noFOG). On univariate modeling, progression rates of mean stride-length, stride-velocity, swing-phase-percent, total-double-support-percent and of CV swing-phase-percent had high discriminative power (AUC > 0.83) for classification of the FOGConv and noFOG groups.

Conclusion:

FOGConv had a faster temporal decline in objectively quantified gait than noFOG, and progression rates of spatiotemporal gait parameters were more predictive of FOG phenotype conversion than initial (static) parameters Objectively monitoring gait in disease prediction models may help define FOG prone groups for testing putative treatments.
Protein intake, distribution, and sources in community-dwelling older adults living in Auckland, New Zealand
Authors: Hiol Anne N. , von Hurst Pamela R. , Conlon Cathryn A. , Mumme Karen D. , Beck Kathryn L.
Published: July 2023

BACKGROUND:

To maximally stimulate muscle protein synthesis (MPS), older adults should consume≥1.2 g/kg body weight (BW) of high-quality protein, evenly distributed across the day ( 0.4 g/kg BW per meal).

OBJECTIVES:

To investigate protein intake, distribution, and sources in community-dwelling older adults.

METHODS:

Data (including a 4-day food record) were obtained from the Researching Eating, Activity, and Cognitive Health (REACH) study, a cross-sectional study in adults aged 65 to 74 years.

RESULTS:

Participants (n = 327, 65.4% female) had a median daily protein intake of 1.16 g/kg BW (males) and 1.09 g/kg BW (females). Over half of participants consumed less than 1.2 g protein/kg BW/day (62% females, 57% males). Protein intake was unevenly distributed throughout the day (CV = 0.48 for males and females) and was inadequate for reaching 0.4 g/kg BW/meal at breakfast and at the mid-day meal (males only). The main sources of protein at breakfast were milk (28%), breakfast cereals (22%), and bread (12%); at the mid-day meal, bread (18%), cheese (10%) and milk (9%); and at the evening meal, meat provided over half the protein (56%).

CONCLUSIONS:

Protein intake for a high proportion of older adults was less than 1.2 g/kg BW/day, and unevenly distributed through the day. Protein was obtained mainly from cereals and dairy products at breakfast and the mid-day meal, and meat sources at the evening meal.
Treatment of oromandibular dystonia with botulinum toxin A improves apnea in a teenager with quadriplegic cerebral palsy: A case report
Authors: Roberts Jeremy , Tenaglia Amy , Bellissimo Elisabeth , Kim Heakyung
Published: July 2023

This report describes a 15-year-old female with known spastic and dystonic quadriplegic cerebral palsy (CP), Gross Motor Function Classification System IV, and obstructive sleep apnea (OSA). She experienced decreased apneic episodes after receiving onabotulinumtoxin A (BoNT-A) injections for the treatment of oromandibular dystonia (OMD). After her OSA diagnosis, she initially received injections to the bilateral masseter and temporalis muscles with no effect on the frequency of nightly apneic episodes. Subsequently, the bilateral lateral pterygoid muscles were added and she was later noted to have fewer apneic episodes overnight. This case report describes the use of BoNT-A in the muscles of mastication for management of OMD and the ensuing improvement in OSA in a teenager with CP.
Exploring the relationship between shared identity and interoperability: A mixed methods analysis of discussion-based multi-agency emergency response exercises
Authors: Davidson Louise , Carter Holly , Drury John , Amlôt Richard , Haslam Alex
Published: July 2023

Previous research demonstrates the persistent challenges between Police, Fire and Rescue, and Ambulance responders during multi-agency emergency response. Recently, the Social Identity Approach has been used as a theoretical guide to better understand these challenges through providing a psychological framework to understand relations within and between response organizations. The current study expands on this through six discussion-based exercises with responders from the emergency services. Correlational analysis of participants' identity levels and self-perceived joint working performance suggested a relationship between shared identity and improved perceptions of joint working. Analysis of the discussion transcripts identified some areas where joint working was challenged, for example the use of organisation-specific terminology. Finally, analysis of focus group discussions after the exercises suggested there are important factors that linked shared identity and multi-agency response, such as increased motivation to work with each other and increased trust and respect. This research advances our understanding of multi-agency working from a social identity perspective by providing evidence of an association between shared identity and multi-agency working. Implications for practice are discussed.
Studi Eksploratif Terhadap Minat Berkunjung ke Desa Wisata dari Sisi Wisatawan Nusantara
Authors: Ekamukti Joanna Vieri , Lemy Diena Mutiara
Published: July 2023

The tourist village is a regional development concept that makes the village a tourist destination. Proper management of all tourist attractions is expected to empower the village community itself. The main principle in a tourist village is a developing village. This principle focuses on improving people's welfare through the development of productive businesses in accordance with local potential and resources. The development of tourist villages is expected to accelerate integrated village development to encourage the welfare of the people in it. Tourism villages that have developed will later have an impact in the form of improving environmental quality, community welfare, and cultural preservation. This research was conducted to explore Tourism Villages from the point of view of tourists, in this case domestic tourists (using a sample of domestic tourists from JABODETABEK). The method used in this study is an exploratory qualitative method, to obtain information from domestic tourists regarding Tourism Villages. The data collection techniques used informal interviews, surveys, and secondary data. Questionnaires were distributed to 150 respondents and also sampling using convenience sampling namely a collection of information from population groups who agree to provide that information.
Evaluasi Sensori Produk Makanan dan Minuman Berbahan Dasar Honje Sebagai Upaya Pengembangan Produk
Authors: Made Kerti Utami Ni Gusti , Purnamasari Ratih Pitria , Suparman Maksum , Affandi Dodi
Published: July 2023

This research aims to conduct a sensory evaluation of food and beverage products made from honje, which are the result of development. Honje was only used as Honje juice but was developed into several food and beverage products, namely Honje Butter Cookies, Honje Jam, and Mojito Honje (Monje). These food and beverage products are selected from the identification of agricultural products in the Cisangkal Tourism Area. They have their own uniqueness and the potential to be developed because they have a lot of resources and are easy to implement. The research method used is descriptive quantitative through organoleptic tests on 4 sensory aspects, namely: Color, Aroma, Taste/Like, and Texture related to Honje-based food and beverage products, assisted by respondents in Cisangkal, Pangandaran and surrounding areas who will become target consumers as many as 30 people. The results of this evaluation will provide additional confirmation to the local community that Honje Laka, which is owned by almost the entire community there, can increase self-confidence, and the economy and ultimately help the Cisangkal Tourism Area develop even better. This research was carried out to be a continuation of research activities and community service in the Cisangkal Tourism Area.
Prototyping a Blended Physical Education Course on Mixed Volleyball
Authors: Amoloza Emely M. , Figueroa Jr. Roberto B. , Taniguchi Hiroshi
Published: July 2023

In the Philippines, the dearth of team-based physical education courses and student demand for blended classes in a prominent open university paved the way for the active exploration of inclusive team-based sports in blended mode. With this, a study was conducted involving the participatory design of a physical education (PE) course on mixed volleyball.  The study aimed to identify challenges encountered in developing and prototyping this blended PE course, enumerate perceived benefits among participants during the prototyping stage, and investigate the initial impressions among participants regarding satisfaction and interest. The methodology involved prototyping lessons based on sound instructional design principles and iteratively improving them based on retrospective analysis.  Data were collected through retrospective summaries, observation notes, participant interviews, and a post-program satisfaction survey. Observation notes, retrospective summaries, and participant interviews were analyzed through reflexive thematic analysis.  The major themes revolved around challenges and perceived benefits. Moreover, survey data was analyzed quantitatively through descriptive statistics to quantify participant satisfaction. The challenges identified were technological, logistical, operational, pedagogical, and practical in nature. The perceived benefits encompassed friendship and camaraderie, discipline, self-confidence, happiness, teamwork, love for the sport, and feeling included in the group. Quantitative results showed generally high satisfaction, which increased at the end of the sixth week. In conclusion, a blended PE course on a team-based sport like mixed volleyball can be a good option among distance learners, provided they overcome logistical and digital limitations. 

Keywords:   blended learning, physical education, Japanese mixed volleyball
ANALISIS RISIKO PENYEBAB KETERLAMBATAN PROYEK PENGEMBANGAN PEMBANGUNAN GEDUNG MARGONO SURADJI YOGYAKARTA BERBASIS PMBOK
Authors: Fertilia Novika Candra , Sediyanto Sediyanto , Fuadi Ahmad
Published: July 2023

The expansion of industry and the growth of development facilities in Indonesia is very rapid, especially the construction of buildings. Then the level of difficulty to manage and run a building project is getting higher. The higher level of difficulty, the longer the duration of time required to complete the project. Even though an activity has been planned as well as possible, it still contains uncertainty that it will run fully according to the plan. This happened to the building construction project in Yogyakarta, where the project experienced a delay of 35%. This study aims to find out the causes that have a high influence on the delay in the project. In this study, the influence value category was calculated using the project risk management calculation approach based on the 2017 PMBOK.
PERBANDINGAN PENURUNAN KONSOLIDASI METODE TERZAGHI DENGAN ASAOKA PADA VACUUM PRELOADING
Authors: Boangmanalu Fina Mayumi , Istiatun Istiatun
Published: July 2023

Around 20 million hectares of Indonesia's total land area, or more than 10%, has soft soil. Soft soils can be problematic in construction projects due to their low bearing capacity, high water content, limited permeability, and high compressibility. Vacuum preloading, a technique to hasten consolidation by employing atmospheric pressure from the vacuum as a surcharge load, is one of the improvements for soft soil. The Terzaghi method is typically used to calculate the prediction of the final settlement and the time to reach the final settlement, however the forecast of settlement by the Terzaghi method produces better results than the actual settlement. To estimate the final settlement that takes place in the field, a method with a reliable level of accuracy is used—the Asaoka method. The main goals of this analysis are to determine the final settlement using the Asaoka method, the time needed to reach the final settlement using the Asaoka method, the degree of consolidation caused by vacuum preloading, and soil parameters that support notable differences between the Terzaghi method and Asaoka method using back analysis. According to both site reviews, the Terzaghi method produced settlement outcomes that were 36% and 79% higher than those obtained using the Asaoka method. The time required to reach 90% consolidation on both site reviews are 252 days and 196 days. The results of the Asaoka method used to calculate the degree of consolidation on both site reviews are 92.33% and 94.47%. The value of compression index (Cc), which was derived by back analysis calculations, is what most strongly supports the significant outcomes between the Terzaghi method and the Asaoka method.
O olhar educativo dos meios informacionais
Authors: Matte Hubert
Published: July 2023

A importância do uso dos meios informacionais na educação será o foco deste estudo. Procurar-se-á apontar para o valor de tornar a informática e seu uso como aliado na educação e no processamento de informações que podem ser concatenadas de modo útil pelos alunos. Será verificado que não é mais possível deixar de reconhecer a importância dos meios eletrônicos de comunicação e sua utilização com vistas ao melhor uso destes em sala de aula. Com isto, o educador poderá se reconhecer como um norteador, ou catalisador, das informações disponibilizadas de modo a seus alunos se perceberem melhor preparados para os desafios que são propostos no mundo extraclasse. Este novo paradigma aqui proposto busca apresentar uma visão ampliada, sob uma perspectiva holística da realidade de quem busca as salas de aula de modo a capacitá-los a se tornarem protagonistas de sua educação. Onde se compreende que a informática pode ser uma ferramenta importante para um ensino transdisciplinar, porque, sendo bem aproveitada, oferece a oportunidade de os alunos fazerem inferências e ligações com outros saberes.
ПОБУДОВА БРЕНДУ РОБОТОДАВЦЯ У ГОТЕЛЬНІЙ ІНДУСТРІЇ: РОЛЬ ПІАР-ДІЯЛЬНОСТІ
Authors: Дністрянська Наталія , Кушнірук Галина , Чайка Ірина
Published: July 2023

У статті розглянуто поняття, значення, механізм побудови бренду роботодавця для підприємств індустрії гостинності, а також роль піар-діяльності у цьому процесі, що, власне, і є метою публікації. Актуальність дослідження зумовлена важливістю грамотного управління та підбору кадрів у готельній індустрії, а одним з шляхів розвитку лояльності до підприємства як роботодавця є побудова його бренду. Цілей публікації вдалось досягнути шляхом застосування загальнонаукових (аналіз, моніторинг, синтез) та соціологічних методів (опитування фокус-групи). Бренд роботодавця формується в результаті зовнішньої, внутрішньої діяльності компанії та її бізнес-комунікацій. З огляду на специфіку завдань, відповідальність за побудову бренду роботодавця розподіляється між кадровим менеджментом та комунікаційним відділом. Левова частка комунікацій генетично приналежні до піар-методики. Лояльність працівників компанії створює перспективи для просування готелю на споживчому ринку, однак, наявні певні труднощі через власне саму специфіку цієї індустрії. Матеріали цієї статті мають перспективи бути використаними при підготовці навчальних матеріалів для фахівців готельно-ресторанної справи. Також, розроблені схеми та висновки актуальні для організаційно-управлінських та комунікаційних відділів підприємств готельного бізнесу.
ЦИФРОВІ ІННОВАЦІЙНІ ТЕХНОЛОГІЇ У СФЕРІ ТУРИЗМУ УКРАЇНИ
Authors: Лисюк Тетяна , Ройко Лариса , Білецький Юрій
Published: July 2023

У статті розглянуто стан інноваційного розвитку туристичної галузі України, яка функціонує в складних умовах через обмеженість фінансових ресурсів та економічні труднощі спричинені війною. Проаналізовано інноваційні технології в контексті їх упровадження в туризм. У нерозривному зв’язку з соціокультурною функцією інноваційного простору описано процес діджиталізації туристичної діяльності та її роль в туризмі з точки зору залучення туристів. Встановлено, що процес модернізації туризму сприяє появі нових форм і методів обслуговування туристів. З’ясовано, що в умовах інноваційного розвитку, окрім традиційних форм, з’явилися сучасні способи взаємодії туристичних атракцій із суспільством у вигляді 3D-технологій, серед яких креативні відео-шоу, панорамні проекції, віртуальна реальність, анімація. У статті досліджується медіа-інтерес післявоєнної України, який може бути трансформований у туристичний бренд.
ЕЛЕКТРОННІ ЗАСОБИ ВНУТРІШНЬОГО КОНТРОЛЮ ТА ОЦІНЮВАННЯ ЯКОСТІ ОСВІТИ
Authors: Радкевич Олександр
Published: July 2023

У статті розкрито особливості електронних засобів внутрішнього контролю та оцінювання якості освіти, які можуть бути використані для їх здійснення. Зроблено короткий огляд кожного електронного засобу, зокрема: Edmodo, Moodle, Google Classroom, ExamSoft та Turnitin, пояснюються їхні функції й можливості в контексті здійснення внутрішнього контролю та оцінювання якості освіти. Встановлено, що використання таких електронних засобів може допомогти вчителям і здобувачам освіти забезпечити ефективніший та продуктивніший навчальний процес, а також зробити внутрішній контроль якості освіти зручним і точним.