bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisa Kapasitas Saluran Drainase Ruas Jl. Rijali Kota Ambon dan Alternatif Penanganannya
Authors: Toisuta Juan Gerald , . Warniyati , Sihombing Tri Octaviani , Tutkey Monica R.
Published: July 2024

Permasalahan banjir berawal dari peningkatan jumlah penduduk, perubahan iklim dan perubahan tata guna lahan. Peningkatan penduduk yang tidak diimbangi dengan penyediaan prasarana dan sarana perkotaan yang memadai mengakibatkan pemanfaatan lahan yang tidak tertib, itu yang menyebabkan permasalahan drainase menjadi sangat kompleks.Tata guna lahan yang tidak memperhatikan kegunaan wilayah bisa mengakibatkan permasalahan banjir. Hal ini juga terjadi di daerah Batu Merah sampai Puncak Bogor, Kelurahan Amantelu, Kecamatan Sirimau, Kota Ambon.Penelitian ini dilakukanuntuk mengetahui kapasitas saluran drainase eksisting dan merencanakan desain alternatif penanganan luapan. Debit rencana saluran drainase dihitung dengan metode Gumbel berdasarkan data curah hujan di Kota Ambon dari tahun 2011 sampai 2021. Berdasarkan hasil analisa kapasitas saluran untuk kala ulang 2, 5 dan 10 tahun berturut-turut untuk Jl. Rijali K1a 0,050 m³/s, 0,085 m³/s, 0,109, K2a 0,034 m³/s, 0,058 m³/s, 0,074 m³/s, dan K3a 0,005 m³/s, 0,009 m³/s, 0,011 m³/s dan Jl. Pitu Ina K1b 0,010 m³/s, 0,017 m³/s, 0,022 m³/s, K2b 0,047 m³/s, 0,079 m³/s, 0,101 m³/s, K3b 0,181 m³/s, 0,308 m³/s, 0,392 m³/s saluran drainase Jl. Rijali hasilnya memenuhi sedangkan untuk Jl. Pitu Ina tidak memenuhi. Dengan demikian dimensi untuk ruas Jl. Pitu ina diperbesar berturut-turut menjadi lebar 0,80 m; 1,05 m; 1,30 m dengan kedalaman 0,90 m; 1,20 m; 1,80 m.
Second-order Spatial Measures Low Overlap Rate Point Cloud Registration Algorithm Based On FPFH Features1
Authors: Lian Zewei , Wang Xiaogang , Lin Junjie , Zhang Liuhong , Tang Mingming
Published: July 2024

When the sensor dynamically collects point cloud data for object or map reconstruction, the registration effect is poor and reconstruction application is difficult with a too low overlap rate of the collected point cloud data. The reason is that the objects are covered, the sensor rotation angle is too large and the speed of movement is too fast. Because of these problems, this paper proposes a point cloud registration algorithm based on FPFH feature matching, combined with second-order spatial measures. Firstly, using the FPFH feature extraction algorithm, the features of each point are extracted, and then feature matching is performed to generate the set of feature point pairs. Secondly, the second-order spatial measure is used to calculate the set of feature point pairs to obtain the second-order spatial measure matrix scores and sort them. Finally, the dichotomy method is used to find the appropriate second-order spatial measure scores for distinguishing the inner points (points in the overlap region) from the outer points (points that do not belong to the overlap region as well as the mismatched points and some disturbances). The contrast experiments between this algorithm and three common point cloud registration algorithms, FPFH-ICP, 4PCS-ICP, and NDT-ICP, on the Stanford dataset and 3DMatch dataset shows that the registration accuracy of the other algorithms decreases significantly with a low overlap rate. But this algorithm still has a high registration accuracy and is less affected by outliers than the other algorithms. Besides, this algorithm can still maintain a good registration effect on different data sets.
Proprioceptive neuromuscular facilitation stretching exercises for treatment of temporomandibular dysfunction in patients with forward head posture: A double-blinded, randomized, controlled trial
Authors: Saleh Marwa Shafiek , Mohamed Walaa Mohsen , Elsayed Walaa Hamdy , Abdelatief Emad Eldin Mohamed
Published: July 2024

BACKGROUND: Proprioceptive neuromuscular facilitation (PNF) stretching exercises have been widely advocated for the management of patients with different musculoskeletal conditions. However, its effect on the treatment of temporomandibular dysfunction (TMD) in patients with forward head posture (FHP) has not been fully investigated. OBJECTIVE: To investigate the effect of PNF stretching exercises on the treatment of TMD in patients with FHP. METHODS: A prospective, randomized, double-blinded clinical trial. Twenty-four patients with TMD and FHP aged from 18–40 years were randomly assigned to PNF or control group. The PNF group composed of 12 patients received PNF stretching exercises of masticatory muscles in addition to routine physical therapy treatment (FHP correction exercises and ultrasound for the temporomandibular joint); the control group composed of 12 patients received routine physical therapy treatment only. Interventions were conducted twice a week for six weeks. Craniovertebral angle, pain threshold, pain intensity, temporomandibular joint ROM, and temporomandibular joint function were assessed for all participants before and after the intervention. The outcomes were analyzed using Two-way mixed MANOVA. For further multiple comparisons, post-hoc tests with the Bonferroni correction were performed. RESULTS: There was no significant difference between both groups pre-treatment (p> 0.05). Comparison between groups post-treatment revealed statistically significant differences in all outcome measures (p< 0.05) in favor of the PNF group. CONCLUSION: Adding PNF stretching exercises of masticatory muscles to routine physical therapy programs is an effective method for management of TMD in patients with FHP more than routine physical therapy programs alone.
Comparison of head posture and neck proprioceptive sense of individuals with chronic neck pain and healthy controls: A cross-sectional study
Authors: Yilmaz Kamil , Sert Ozlem Akkoyun , Unuvar Bayram Sonmez , Gercek Hasan
Published: July 2024

BACKGROUND: Chronic pain can affect body perception at the central level by causing the somatosensory cortex to rearrange. Additionally, cervical afferent abnormalities in individuals with neck pain can impair proprioceptive sensitivity, potentially leading to alterations in body alignment and biomechanics. Nevertheless, there are insufficient studies exploring these notions. OBJECTIVE: The main objective of this study was to compare the head posture and neck proprioceptive sense of individuals with chronic neck pain and healthy controls. METHODS: Utilizing a cross-sectional study, a total of 76 volunteers comprising 38 individuals with neck pain and 38 matched healthy controls participated in the study. Head posture and cervical joint position sense were measured using a Cervical Range of Motion Deluxe (CROM) device. Firstly, the deviation angles of the head in three planes were evaluated, then the Head Repositioning Accuracy (HRA) test was performed to determine the joint position error. Visual Analogue Scale (VAS) was used to determine the severity of pain in individuals with neck pain. RESULTS: The deviation angles of the head in all three planes were significantly lower in the healthy control group (p< 0.05). Joint position error values were significantly higher in all directions (flexion-extension, right-left lateral flexion, and rotation) in the neck pain group (p< 0.001). CONCLUSION: The findings show that the proprioceptive sensation of the cervical region in individuals with neck pain was adversely affected, with changes were observed in the head posture. NOTE: The abstract of this study was presented as a verbal declaration at the International Congress of Health Sciences-ICHES-IDU 2020 that was held in İzmir on 20–21 June 2020.
Missing data imputation using correlation coefficient and min-max normalization weighting
Authors: Shantal Mohammed , Othman Zalinda , Abu Bakar Azuraliza
Published: July 2024

Missing data is one of the challenges a researcher encounters while attempting to draw information from data. The first step in solving this issue is to have the data stage ready for processing. Much effort has been made in this area; removing instances with missing data is a popular method for handling missing data, but it has drawbacks, including bias. It will be impacted negatively on the results. How missing values are handled depends on several vectors, including data types, missing rates, and missing mechanisms. It covers missing data patterns as well as missing at random, missing at completely random, and missing not at random. Other suggestions include using numerous imputation techniques divided into various categories, such as statistical and machine learning methods. One strategy to improve a model’s output is to weight the feature values to better the performance of classification or regression approaches. This research developed a new imputation technique called correlation coefficient min-max weighted imputation (CCMMWI). It combines the correlation coefficient and min-max normalization techniques to balance the feature values. The proposed technique seeks to increase the contribution of features by considering how those elements relate to the desired functionality. We evaluated several established techniques to assess the findings, including statistical techniques, mean and EM imputation, and machine learning imputation techniques, including k-NNI, and MICE. The evaluation also used the imputation techniques CBRL, CBRC, and ExtraImpute. We use various sizes of datasets, missing rates, and random patterns. To compare the imputed datasets and original data, we finally provide the findings and assess them using the root mean squared error (RMSE), mean absolute error (MAE), and R2. According to the findings, the proposed CCMMWI performs better than most other solutions in practically all missing-rate scenarios.
The effects of different velocity loss training protocols after 3 weeks of resistance training on muscular strength and power
Authors: Mochizuki Yukina , Naito Takuto , Kikuchi Sayaka , Homma Hiroki , Almeida Kathleen Yasmin de , Kikuchi Naoki
Published: July 2024

BACKGROUND: The evidence of response to velocity loss cut-off training with similar total repetitions are limited. OBJECTIVE: This study aimed to examine the effects of different velocity loss training protocols after 3 weeks of traditional resistance training protocols on strength and power in trained men. METHODS: Twenty highly trained men participated in the study. The protocols were performed twice a week for 6-weeks, with the first 3-weeks consisting of traditional (TR) training protocols and the other 3-weeks of velocity loss (VL) training protocols. The TR and VL training protocols consisted of 80% 1RM of full squat exercise with 4-min rest intervals. The participants were randomly assigned to two different protocols during the VL training protocols, each with different velocity loss within sets (V20%; n= 10 or VL40%; n= 10). The number of sets was adjusted so that the total number of repetitions for each VL was similar (VL20 × 3 sets, VL40 × 2 sets). Measurements assessed using one-repetition maximum (1RM), isokinetic strength, 20 m-sprint (T20), and counter movement jump (CMJ). RESULTS: The total number of repetitions in the session significantly decreased from the TR training protocol to the VL training protocol in each group (TR to VL20; -18%, TR to VL40; -27%, p< 0.05). There was no significant difference of repetitions between groups. The T20 and isokinetic strength changed significantly in both groups after 6-weeks of training. CONCLUSION: The VL training protocol with reduced volume following the TR training protocol has been shown to maintain and increase strength and power outcomes. However, no significant difference in training response was observed between VL20 and VL40 protocols. The combination of TR and VL protocols might be an effective strategy for optimizing athletic performance.
Optimizing warm-up efficiency: Impact of repetitions in straight leg raises on hip and knee flexibility in individuals with and without hamstring tightness
Authors: Lim Wootaek
Published: July 2024

BACKGROUND: Warm-up exercises are often recommended to enhance flexibility, reduce the risk of injury, and improve performance. However, the optimal number of warm-up repetitions remains unclear. Additionally, the previously suggested sit-and-reach test may not be suitable for efficiently stimulating the target muscles. OBJECTIVE: This study investigated the effects of a warm-up consisting of 15 straight leg raise (SLR) repetitions on hip and knee flexibility by comparing individuals with and without hamstring tightness (HT and NoHT, respectively). METHODS: Thirty healthy adults were classified as having HT or NoHT based on their SLR angle before warm-up. The participants performed 15 repetitions of the SLR as warm-up, followed by hip and knee flexibility tests. RESULTS: Warm-ups significantly improved hip and knee flexibility in both HT and NoHT groups. Improvements in flexibility were not significantly different between groups. The most notable increase in flexibility was observed between the sixth and ninth SLR trials. CONCLUSIONS: The clinical utility of a warm-up consisting of 15 SLR repetitions is supported by this study, as a substantial increase in hip flexibility was observed in all participants regardless of HT. In clinical settings, a maximum of 10 repetitions may be sufficient to achieve optimal results.
A Framework for Best Practices and Readiness in the Advent of Anti-Amyloid Therapy for Early Alzheimer’s Disease in Asia
Authors: Lee Jae-Hong , Jia Jianping , Ji Yong , Kandiah Nagaendran , Kim SangYun , Mok Vincent , Pai Ming-Chyi , Senanarong Vorapun , Suh Chong Hyun , Chen Christopher
Published: July 2024

Advances in biomarker-based diagnostic modalities, recent approval of anti-amyloid monoclonal antibodies for early Alzheimer’s disease (AD; mild cognitive impairment or mild dementia due to AD) and late-stage clinical development of other disease-modifying therapies for AD necessitate a significant paradigm shift in the early detection, diagnosis and management of AD. Anti-amyloid monoclonal antibodies target the underlying pathophysiological mechanisms of AD and have demonstrated a significant reduction in the rate of clinical decline in cognitive and functional outcome measures in patients with early AD. With growing recognition of the benefit of early interventions in AD, an increasing number of people may seek diagnosis for their subjective cognitive problems in an already busy medical system. Various factors such as limited examination time, lack of expertise for cognitive assessment and limited access to specialized tests can impact diagnostic accuracy and timely detection of AD. To overcome these challenges, a new model of care will be required. In this paper, we provide practical guidance for institutional readiness for anti-amyloid therapies for early AD in Asia, in terms of best practices for identifying eligible patients and diagnosing them appropriately, safe administration of anti-amyloid monoclonal antibodies and monitoring of treatment, managing potential adverse events such as infusion reactions and amyloid-related imaging abnormalities, and cross-disciplinary collaboration. Education and training will be the cornerstone for the establishment of new pathways of care for the identification of patients with early AD and delivery of anti-amyloid therapies in a safe and efficient manner to eligible patients.
Influence of key design parameters on the critical speed of eddy current brake
Authors: Yue Qiming , Yang Panpan , Li Zixuan , Wen Yongshuang , Zhang Leian
Published: July 2024

The critical speed of eddy current braking is a vital parameter in the design of eddy current braking devices. Currently, most simulations and experiments are used to determine the critical speed, which means a lot of time costs. This paper presents two laws of critical speed variation to help designers more quickly determine the critical speed of a particular eddy current braking device. At first, the structure and the critical speed principle of permanent magnet rotary eddy current brake (PMRECB) are described. Secondly, the finite element analysis is used to verify the accuracy of the two laws. Finally, the validity of the finite element model is confirmed by the eddy current braking test.
Numerical simulation of contact surface stress distribution based on stress-magnetization effect surface
Authors: Zhao Shuai , Xu Xinjun , Bi Yaxuan
Published: July 2024

Taking the surface profile of C45 steel grinding as the research object, a two-dimensional finite element contact model of rough surface and smooth rigid surface was established by using ANSYS software, and the stress distribution characteristics and rules of contact surface were analyzed under 0–10 MPa normal load. On this basis, the force-magnetic coupling model was established by using ANSYS APDL language. Furthermore, the influence of stress under on leakage magnetic field of contact surface under different load conditions was studied. The results indicated that according to the zero-crossing point of the normal component of the leakage magnetic field or the extreme point of the tangential component, the number of stress concentrations on the contact surface and the stress level of the corresponding area can be effectively determined. This innovative approach offers valuable insights for future studies on surface contact stress distribution between components.
Strawberries in a warming world: examining the ecological niche of Fragaria×ananassa Duch – Across different climate scenarios
Authors: da Silva Lidiane Rodrigues , Araújo Fausto Henrique Vieira , Ferreira Sabrina Rodrigues , dos Santos José Carlos Barbosa , de Abreu Caique Menezes , Siqueira da Silva Ricardo , Regina da Costa Márcia
Published: July 2024

BACKGROUND:

Strawberry ( Fragaria× ananassa Duch.) is a species of great economic and nutritional importance. It is widely cultivated in different regions of the world. However, climatic factors have a significant influence on its production.

OBJECTIVE:

To evaluate the ecoclimatic suitability and growth index of F.× ananassa in the face of the impacts of climate change in Brazil and the world.

METHODS:

The potential global distribution of F.× ananassa it was based on predicted global climate changes using CLIMEX and the A1B and A2 emissions scenario for the years 2050 and 2100. CLIMEX weekly growth index (GIw) was applied, and productivity data in commercial strawberry cultivation in Brazilian areas were collected.

RESULTS:

The results indicate a progressive reduction in areas suitable for strawberry cultivation globally, mainly on the African continent, Australia, China, and the Americas for the years 2050 and 2100. In Brazil, only the South region and part of the Southeast will continue to be suitable for strawberry production.

CONCLUSIONS:

The CLIMEX model predicts a reduction in the suitable area for cultivating Fragaria× ananassa Duch between 2050 and 2100 due to climate change. The generated maps can help identify new cultivation areas and support genetic improvement programmes to develop cultivars more tolerant to heat.
A data compression algorithm with the improved SRLE for high-throughput neural signal acquisition device
Authors: Quan Wentao , Guo Xudong , Cui Haipo , Luo Linlaisheng , Li Mengyun
Published: July 2024

BACKGROUND: Multi-channel acquisition systems of brain neural signals can provide a powerful tool with a wide range of information for the clinical application of brain computer interfaces. High-throughput implantable systems are limited by size and power consumption, posing challenges to system design. OBJECTIVE: To acquire more comprehensive neural signals and wirelessly transmit high-throughput brain neural signals, a FPGA-based acquisition system for multi-channel brain nerve signals has been developed. And the Bluetooth transmission with low-power technology are utilized. METHODS: To wirelessly transmit large amount of data with limited Bluetooth bandwidth and improve the accuracy of neural signal decoding, an improved sharing run length encoding (SRLE) is proposed to compress the spike data of brain neural signal to improve the transmission efficiency of the system. The functional prototype has been developed, which consists of multi-channel data acquisition chips, FPGA main control module with the improved SRLE, a wireless data transmitter, a wireless data receiver and an upper computer. And the developed functional prototype was tested for spike detection of brain neural signal by animal experiments. RESULTS: From the animal experiments, it shows that the system can successfully collect and transmit brain nerve signals. And the improved SRLE algorithm has an excellent compression effect with the average compression rate of 5.94%, compared to the double run-length encoding, the FDR encoding, and the traditional run-length encoding. CONCLUSION: The developed system, incorporating the improved SRLE algorithm, is capable of wirelessly capturing spike signals with 1024 channels, thereby realizing the implantable systems of High-throughput brain neural signals.
Design of application-oriented disease diagnosis model using a meta-heuristic algorithm
Authors: Wang Zuoshan , Wang Shilin , Wang Manya , Sun Yan
Published: July 2024

BACKGROUND: Healthcare is crucial to patient care because it provides vital services for maintaining and restoring health. As healthcare technology evolves, cutting-edge tools facilitate faster diagnosis and more effective patient treatment. In the present age of pandemics, the Internet of Things (IoT) offers a potential solution to the problem of patient safety monitoring by creating a massive quantity of data about the patient through the linked devices around them and then analyzing it to estimate the patient’s current status. Utilizing the IoT-based meta-heuristic algorithm allows patients to be remotely monitored, resulting in timely diagnosis and improved care. Meta-heuristic algorithms are successful, resilient, and effective in solving real-world enhancement, clustering, predicting, and grouping. Healthcare organizations need an efficient method for dealing with big data since the prevalence of such data makes it challenging to analyze for diagnosis. The current techniques used in medical diagnostics have limitations due to imbalanced data and the overfitting issue. OBJECTIVE: This study introduces the particle swarm optimization and convolutional neural network to be used as a meta-heuristic optimization method for extensive data analysis in the IoT to monitor patients’ health conditions. METHOD: Particle Swarm Optimization is used to optimize the data used in the study. Information for a diabetes diagnosis model that includes cardiac risk forecasting is collected. Particle Swarm Optimization and Convolutional Neural Networks (PSO-CNN) results effectively make illness predictions. Support Vector Machine has been used to predict the possibility of a heart attack based on the classification of the collected data into projected abnormal and normal ranges for diabetes. RESULTS: The results of the simulations reveal that the PSO-CNN model used to predict diabetic disease increased in accuracy by 92.6%, precision by 92.5%, recall by 93.2%, F1-score by 94.2%, and quantization error by 4.1%. CONCLUSION: The suggested approach could be applied to identify cancer cells.
Biomechanical evaluation of different plunger size and plunger position on removing soft contact lenses and rigid gas permeable contact lenses
Authors: Hsiao Min-Chien , Yen Yu-Chun , Wang Chun-Hsiang , Chen Yen-Nien , Wang Shun-Ping , Su Kuo-Chih
Published: July 2024

BACKGROUND: To avoid risks of mucosal infection from contact lenses removal, a contact lens plunger is often used. OBJECTIVE: Given various types of contact lens plungers available on the market, no study has yet been done on mechanical effects of the contact lens plunger on contact lens removal. Here, this study used finite element analysis to investigate the effects of plunger size and plunger position on the removal of soft and rigid gas permeable (RGP) contact lenses. METHODS: First, we established finite element analysis models for the plunger, contact lens, cornea, and aqueous humor. The plunger is made of mostly silicone rubber, and the contact lenses are mainly made of soft and hard material. The part of the plunger used for removal was located either at the central or the edged position, with pulling 1 mm distance. The main parameters observation indicators of in this study were the reaction force at the fixed end of the cornea, aqueous humor, the von Mises stress of the plunger, the contact lenses, and the cornea. RESULTS: Results of this study showed that when a plunger of a larger diameter was used, the reaction force of the plunger was also larger, especially when applied to RGP lenses, which required a slightly larger force (∼0.27 N). Also, when removing a RGP lens from the edge, there was a greater stress at the edge of the contact lens (2.5799 MPa), and this caused a higher stress on both the cornea (0.0165 MPa) and the aqueous humor (0.00114 MPa). CONCLUSIONS: When using a plunger with a larger diameter to remove a RGP lens, although a larger force required, the relatively larger contact area likely reduced the stress on the cornea and aqueous humor, thereby reducing the risk of eye injury. In addition, when removing a RGP lens, the results of this study recommended it to be removed from the plunger edge, as that facilitated the removal of contact lens.
Prediction of early-phase cytomegalovirus pneumonia in post-stem cell transplantation using a deep learning model
Authors: Zheng Yanhua , Ren Ruilin , Zuo Teng , Chen Xuan , Li Hanxuan , Xie Cheng , Weng Meiling , He Chunxiao , Xu Min , Wang Lili , Li Nainong , Li Xiaofan
Published: July 2024

BACKGROUND: Diagnostic challenges exist for CMV pneumonia in post-hematopoietic stem cell transplantation (post-HSCT) patients, despite early-phase radiographic changes. OBJECTIVE: The study aims to employ a deep learning model distinguishing CMV pneumonia from COVID-19 pneumonia, community-acquired pneumonia, and normal lungs post-HSCT. METHODS: Initially, 6 neural network models were pre-trained with COVID-19 pneumonia, community-acquired pneumonia, and normal lung CT images from Kaggle’s COVID multiclass dataset (Dataset A), then Dataset A was combined with the CMV pneumonia images from our center, forming Dataset B. We use a few-shot transfer learning strategy to fine-tune the pre-trained models and evaluate model performance in Dataset B. RESULTS: 34 cases of CMV pneumonia were found between January 2018 and December 2022 post-HSCT. Dataset A contained 1681 images of each subgroup from Kaggle. Combined with Dataset A, Dataset B was initially formed by 98 images of CMV pneumonia and normal lung. The optimal model (Xception) achieved an accuracy of 0.9034. Precision, recall, and F1-score all reached 0.9091, with an AUC of 0.9668 in the test set of Dataset B. CONCLUSIONS: This framework demonstrates the deep learning model’s ability to distinguish rare pneumonia types utilizing a small volume of CT images, facilitating early detection of CMV pneumonia post-HSCT.
3D DenseNet with temporal transition layer for heart rate estimation from real-life RGB videos
Authors: Khaleel Sallam Ma’aitah Mohammad , Helwan Abdulkader
Published: July 2024

BACKGROUND:

Deep learning has demonstrated superior performance over traditional methods for the estimation of heart rates in controlled contexts. However, in less controlled scenarios this performance seems to vary based on the training dataset and the architecture of the deep learning models.

OBJECTIVES:

In this paper, we develop a deep learning-based model leveraging the power of 3D convolutional neural networks (3DCNN) to extract temporal and spatial features that lead to an accurate heart rates estimation from RGB no pre-defined region of interest (ROI) videos.

METHODS:

We propose a 3D DenseNet with a 3D temporal transition layer for the estimation of heart rates from a large-scale dataset of videos that appear more hospital-like and real-life than other existing facial video-based datasets.

RESULTS:

Experimentally, our model was trained and tested on this less controlled dataset and showed heart rate estimation performance with root mean square error (RMSE) of 8.68 BPM and mean absolute error (MAE) of 3.34 BPM.

CONCLUSION:

Moreover, we show that such a model can also achieve better results than the state-of-the-art models when tested on the VIPL-HR public dataset.
Hypersensitive Narcissism, Social Media Usage, and Selfitis Behaviour among University Students: Mediating Role of Self-Esteem
Authors: Hassan Syed Wasi , Javed Asad
Published: July 2024

The current study aimed to examine the relationship between hypersensitive narcissism, social media usage, and selfitis behaviour along with the mediating role of self-esteem among university students in Pakistan. Correlational research design and purposive sampling technique were used in the study. The sample comprised (N=200) university students with a mean age of 21.45 years (SD=2.42). Both men (n=100) and women (n=100) participants were included in the study.  Standard instruments such as the Hypersensitive Narcissism Scale (HSNS), Selfitis Behaviour Scale (SBS), Social Media Affinity Scale (SMAS), and Rosenberg Self-Esteem Scale (RSES) were used to collect the data. The results indicated that hypersensitive narcissism, social media usage, and selfitis behaviour have a significant positive correlation, while they exhibit a non-significant correlation with self-esteem. The findings also revealed that hypersensitive narcissism and social media usage positively predict selfitis behaviour. It was also determined that hypersensitive narcissism, social media usage, selfitis behaviour, and self-esteem have the same impact on both genders. Self-esteem was taken as a mediator but the results showed that it did not mediate between these variables. The study may assist future educators, mental health professionals, and policymakers in recognizing and addressing such risk factors to promote a healthier academic and social environment. The study may further contribute to discussions related to digital well-being and the need for guidelines to ensure that social media platforms are used in ways that enhance rather than diminish the self-esteem of university students.
Developing Phoneme Performance Using ABA: A Case Study
Authors: Karamat Anum , Fatima Sana , Subhan Sara
Published: July 2024

Phoneme awareness is vital for student development and academic success. It involves understanding sounds and patterns in spoken language, which is crucial for language proficiency and literacy acquisition. The child E. A 9-year-old girl was a student of 4th grade. She came with the presenting complaints of a lack of interest in studies and being unable to learn long questions (difficulty reading and writing in Urdu and English). The assessment was done and a management plan was formed. The assessment was conducted through behavioral observation, clinical interviews with the teacher and client, subjective ratings of the presenting complaints, Digit Span, Vocabulary tests from Cognitive Assessment Battery (CAB), and curriculum-based assessment. The result of the assessment showed that the child had academic issues like poor phoneme awareness (unable to identify a few phonemes, issue in blending letters, etc.) and a lack of interest in studies. For the current study, the ABA approach was used by employing basic alphabetic principles (syllables, rhymes), phonemic awareness strategies (identification, isolation, blending, segmentation), and motivation building (recognizing your achievement, building SMART goals) to overcome the child’s difficulty in reading and writing in Urdu and English. A positive outcome was noted in the pre-and post-ratings where she was able to recognize letters and blend letters she missed, segment words into individual sounds.
Type Nihilism, Token Realism
Authors: Kiritani Osamu
Published: July 2024

This dialogue introduces _type nihilism_ and _token realism_ about the meaning of life.
Politik Hukum Pemerintah Indonesia Tentang Perwakafan: Tarik Ulur Kepentingan
Authors: Hidayat Rahmat , Tiswarni Tiswarni
Published: July 2024

This research explains how the government legal politics in the field of waqf with the tug-of-war of various interests that influence this, both the interests of the government, society and the waqf law itself. To achieve this goal the author uses library research, where the data sources were obtained from books and articles that were offended by the topics discussed. Data was sorted out and analyzed using content analysis. This study found that the government legal politics regarding waqf can be seen from the condition of the government's relationship with Muslims. When the government's relationship with Muslims is tenuous, then the rule of Islamic law "appears to be slow and stagnant". On the other hand, if the relationship was harmonious, the rules of Islamic law, especially waqf, will develop. This is evidenced that since the Dutch colonization until the Old Order, the rules regarding waqf seemed to "stay in place". In other words, waqf regulations only regulate existing waqf practices, without any improvement in terms of both legal substance and utilization. The new waqf rules appeared in the second half of the New Order era and reached their peak during the Reformation period. Government legal politics regarding waqf is influenced by the interests of government and society on the one hand, where waqf can help improve people's welfare. On the other hand, Islamic law, especially waqf law, is growing in Indonesia through various emerging regulations.
HAM dan Hukum Humaniter Internasional: Analisis Konflik Israel dan Palestina
Authors: Indriani Susi , Desiandri Yati Sharfina
Published: July 2024

The long-running conflict between Israel and Palestine has yet to find a bright light. The international community became aware of this situation and denounced Israel's actions in Palestine. Various parties believe that Israel has committed grave human rights breaches, while many Israeli supporters argue that the attack is a form of vengeance and protection for Israel against attacks by Palestinian supporters. The purpose of this study is to examine the Israeli-Palestinian conflict from the standpoint of international humanitarian law and human rights. Primary, secondary, and tertiary legal resources are the sources of legal materials employed in the normative juridical research process. This study employs a conceptual and case-based approach, methodologies for collecting legal materials through library studies, and analysis of legal materials through the use of legal materials obtained to address problems. The research findings revealed that Israel has violated humanitarian norms (humanity). There were multiple cases in which the Israeli military breached humanitarian precepts. The use of heavy weaponry with uncertain consequences caused significant damage, and several Palestinians died. The Palestinian people's situation is deteriorating due to a food supply problem. Until recently, the International Court of Justice (ICC) has taken no action to prosecute war crimes committed by Zionist Israel.
Penguatan Kelompok Produksi Keripik Singkong Ile Ape Lembata Melalui Modifikasi Produksi dan Perluasan Pemasaran Produk
Authors: Nadut Anggelinus , Taek Maximus Markus , Tukan Gerardus Diri
Published: July 2024

Kelompok produksi Keripik Singkong Ile Ape Lembata, memproduksi keripik singkong secara manual. Permasalahan yang ada yaitu digunakan alat parut manual. Singkong parutan ditempelkan pada bagian dalam tutupan dandang dan dikukus menggunakan pemanasan system  tungku segitiga, kemudian ubi kukusan dijemur di atas lembaran seng bergelombang. Pengeringan hanya mengandalkan  panas matahari. Kondisi produksi tersebut menyebabkan volume produksi rata-rata 20 Kg setiap 6 hari, tergolong lambat, sehingga  pemasaran terbatas.  Untuk mengatasi masalah tersebut maka dilakukan penguatan proses produksi. Metode yang diterapkan yaitu sosio ekonomis, yakni mengatasi  persoalan mitra untuk meningkatkan ekonominya melalui bantuan permodalan, ketrampilan teknis produksi, dan perluasan pemasaran. Mitra dibantu sarana  mesin parut, tungku anglo untuk percepatan pengukusan dan efisiensi bahan bakar, media penjemuran, teknis pengeringan singkomg kukusan di dalam ruangan,  dan perluasan pemasaran produk. Hasil kegiatan yaitu: produksi keripik singkong kering setiap 3 hari mencapai rata-rata 20 Kg. Pemasaran produk berupa keripik kering atau keripik setengah jadi yang diperluas ke luar pulau Lembata, yaitu  ke wilayah Kota Kupang di Pulau Timor dan kota Larantuka serta kota Maumere.di Pulau Flores.  Disimpulkan bahwa penguatan  terhadap kelompok industri keripik singkong Ile Ape, telah membantu meningkatkan  kapasitas produksi dan memperluas wilayah pemasaran.
Edukasi Gizi dan Kesehatan Gigi Pada Ibu Balita di Posyandu Balita Kelurahan Kenten Palembang
Authors: Yuliana Indah , Ramadhani Ira Dewi , Harwanto Fatria , Saci Muhammad Amin Arigo , Aerosta Danny Kusuma
Published: July 2024

Stunting merupakan masalah kesehatan anak di bawah usia 5 tahun yang berdampak pada peningkatan morbiditas dan mortalitas, keterlambatan perkembangan motorik dan kognitif, serta keterlambatan perkembangan otak. Fakta dilapangan mengatakan bahwasanya sebagian orang tua masih sulit untuk memilah, mencerna dan menyimpulkan serta memahami informasi kesehatan dan banyaknya isu-isu dan mitos yang berkembang.  Maka perlu dilakukan kegiatan pengabdian masyarakat berupa edukasi gizi dan kesehatan. Peserta yang menghadiri kegiatan edukasi sebanyak 34 orang. Kegiatan pengabdian kepada masayarakat dilaksanakan dengan penyuluhan menggunakan metode pemberian kuesioner sebelum dan sesudahnya sebagai pendekatan evaluasi. Pada penyuluhan materi pencegahan masalah gizi sejak dini berhasil meningkatkan rata – rata skor pengetahuan ibu balita dari 4,49 menjadi 5,03 dan pada materi kesehatan gigi dan mulut terjadi penurunan dari 10.97 menjadi 10.00. Sehingga dapat disimpulkan kegiatan edukasi yang diberikan dapat meningkatkan pengetahuan ibu balita terkait gizi dan tidak pada kesehatan gigi dan mulut.
Seminar Multimedia Interaktif Tim Dosen Multimedia dan Mahasiswa untuk Guru Matematika
Authors: Sudihartinih Eyus , Purniati Tia , Marwati Rini , Rachmatin Dewi , Usdiyana Dian , Muftiyah Salma , Sari Asyifa Anggun , Fophin Theodore Dwivaland , Novianingsih Khusnul , Haryanto Dwi
Published: July 2024

Tujuan penulisan artikel ini yaitu untuk mendeskripsikan kegiatan PkM berjudul Seminar Multimedia Interaktif untuk Guru Matematika. PkM ini menggunakan model pelatihan Goad, yaitu 1) analisis kebutuhan pelatihan, 2) desain pendekatan pelatihan, 3) pengembangan materi pelatihan, 4) pelaksanaan pelatihan, dan 5) evaluasi dan pemutakhiran pelatihan. Bentuk kegiatan PkM ini, yaitu seminar untuk guru matematika SMP di Kota Bandung dan implementasi pada siswa kelas VIII. Tempat pelaksanaan PkM adalah SMP LabSchool UPI dan Program studi Pendidikan Matematika Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam di Universitas Pendidikan Indonesia. Instrumen yang digunakan pada seminar dalam rangka PkM ini adalah angket guru. PkM telah dilakukan melalui implementasi media pembelajaran Scratch pada siswa kelas 8 SMP dan seminar dengan 6 buah pengembangan materi, yakni Scratch, Google Form, model-model pembelajaran, Kahoot, Quizizz, dan Liveworksheets yang diikuti oleh kurang lebih 100 peserta. Hasil dari PkM ini, yaitu kegiatan berjalan baik dan bermanfaat bagi guru matematika serta diharapkan dapat diadakan secara rutin. Dengan demikian, perlunya program lanjutan untuk meningkatkan pengetahuan dan keterampilan guru.
Kesetaraan Gender dalam Pandangan Elit Pesantren di Wonosobo
Authors: Faida Farah
Published: July 2024

Diskursus gender di pesantren masih banyak dibicarakan, tulisan ini bertujuanuntuk mengetahui pandangan pemimpin pesantren di Wonosobo terhadap kesetaraan gender terkait dengan Qs an Nisa ayat 34. Penelitian ini merupakan penelitian kualitatif, dengan tehnik observasi dan wawancara. Dari penelitian yang telah dilakukan, penelitian ini membuahkan kesimpulan bahwa pandangan pemimpin pesantren di Wonosobo mengakui kesetaraan gender dalam Islam, namun mereka mempunyai batasan yang berbeda, pertama laki-laki lebih unggul dari perempuan karena laki-laki diberi tanggungjawab lebih besar, kedua laki-laki dan perempuan setara dan dapat menjadi pemimpin jika memiliki kapasitas dan kualitas yang lebih unggul di antara yang lain.
Vorlesen mit Sprachausgabe. Zum Gelingen einer unterrepräsentierten Praxis
Authors: Schulz Miklas
Published: July 2024

Ein lautes und professionell klingendes Vorlesen mithilfe einer Sprachausgabe ist vermutlich einer der strittigsten Punkte, die man sich im Umgang mit derselben vorstellen kann. Im Folgenden wird gezeigt, dass dies durchaus möglich ist, zumindest insofern einige Umstände Beachtung finden. Anzusprechen ist zunächst die konzeptionelle Bestimmung der Ausgaben des Screenreaders als gesprochene Schrift und die daraus resultierenden Umgangsweisen. Im Anschluss daran kann anhand eigener Daten aus Interviews mit routinierten Verwenderinnen und Verwendern sowie einem Alltagsbeispiel aufgezeigt werden, wie eine solche alternative Vorlesepraxis gelingen kann.
Wir verstehen uns blind!? Wegeweiser Kommunikation
Authors: Benecke Claudia , Jerratsch Simone , Müller-Korn Martina , Ponik Maren , Pregla Susanne
Published: July 2024

Der Beitrag stellt die Veröffentlichung einer Loseblattsammlung zum Thema Kommunikationsentwicklung bei Blindheit und hochgradiger Sehbeeinträchtigung vor. Es sind Beobachtungen und Tipps aus den Bereichen Mimik, Gestik, Körperausdruck, Begriffsbildung/Sprache und Gesellschaftliche Rituale enthalten. Die Sammlung ist am Landesförderzentrum Sehen, Schleswig, aus der Praxis für die Praxis entstanden und umfasst aktuell 30 Karten für die Altersstufe 3-6 Jahre. Drei Beispiele werden dargestellt und zur praktischen Anwendung sind sie als Ringbuchordner im DIN A 5 Format angelegt.
НАСЛІДКИ ВПЛИВУ COVID-19 НА ДОБРОБУТ НАСЕЛЕННЯ УКРАЇНИ
Authors: Вдовин Мар’яна , Сухович Христина
Published: July 2024

Стаття приурочена питанням оцінювання добробуту населення України та впливу пандемії на нього. Описано поняття добробуту населення як різнобічного поняття, яке охоплює економічну та соціальну складові, розглянуто об’єктивні та суб’єктивні показники добробуту. Досліджено вплив пандемії COVID-19 на економічні показники добробуту. Обчислено темпи приросту показників добробуту населення за різні періоди часу. Також оцінено вплив пандемії на якісну складову добробуту, а саме на показники демографічної, соціальної та екологічної статистики. У статті використано статистичні методи дослідження показників, зокрема аналіз динаміки показників у 2018-2021р.р. Крім цього, візуалізовано показники економічного зростання та зовнішньої торгівлі. Також наголошено на необхідності розробки механізмів ефективного функціонування економіки в екстремальних умовах.
Day-of-Week, Month, and Seasonal Demand Variations: Comparing Flow Estimates Across New Travel Data Sources
Authors: Mori Kentaro , Kockelman Kara
Published: July 2024

Transportation planners and engineers are increasingly interested in incorporating demand variations into travel models. Regression models are used to predict and compare variations in permanent traffic recorder (PTR) counts along Texas highways to vehicle-kilometers traveled (VKT) inferred from INRIX’s probe-vehicle data across days of the year. Results suggest INRIX data do not illuminate month-of-year variations in network use, due to random or unexpected shifts in sampling rates, but significant day-of-week differences are clear in both. Furthermore, INRIX appears to capture much more light-duty-vehicle travel than PTRs on Saturdays, but this may be due to location-based services’ over-counting of vehicles carrying multiple mobile devices and/or PTRs’ highway-site bias.
UI/UX Web Based Learning Design with UCD Approach to Basic Programming using FIGMA
Authors: Wijaya Etistika Yuni , Arif Muchamad , Aini Nuru , Putri Yiyin Noriyah
Published: July 2024

The era of revolution 4.0 has had the impact of technological changes in learning, to learning in the form of technology. Online learning is designed using online technology and material is adapted to user needs. Web Based Learning is a website-based learning media that students use to learn the basics of programming. The problem of learning programming for vocational school students is that it is difficult to understand the basic syntax of programming and the flow of thinking, so learning media is needed that can make it easier for students to learn it. Interface design is one of the determinants of students' learning interest, so an appropriate design method is needed according to students' needs, namely using the UCD (User Center Design) method. So that the interface looks attractive, and the workflow is clear enough, an interface design assistant application, namely Figma, is used. Activities are emphasized on SUS testing by obtaining test results of Based on the prototype evaluation results, a MAUS score of 95 out of 100 was obtained at a high level. The MAUS value is at a high level. Meanwhile, the MIUS scores of the four scenarios tested received their respective scores, scenario 1 got a score of 76.25 with a medium level, scenario 2 got a score of 87.6 with a high level, scenario 3 got a score of 87.6 with a high level, and scenario 4 gets a score of 95.45 with a high level.
ANALISIS KETERSEDIAAN BERAS DI SURABAYA DENGAN PENDEKATAN SISTEM DINAMIS
Authors: Donoriyanto Dwi Sukma , Nugraha Isna , Ardlianti Rana Atikah
Published: July 2024

Kota Surabaya salah satu kota di Provinsi Jawa Timur dengan tingkat jumlah penduduk setiap tahun yang terus meningkat yang menyebabkan kebutuhan untuk konsumsi panganan pokok beras semakin banyak dan berdampak pada ketersediaan beras yang semakin menipis serta krisis beras di kemudian hari. Serta lahan pertanian yang terus berkurang setiap tahunnya dimana dipergunakan untuk perumahan maupun industri. Dengan permasalahan diatas penelitian ini bertujuan untuk menganalisis kebijakan ketersediaan beras di surabaya pada masa mendatang guna memberikan alternatif kebijakan untuk meningkatkan ketersediaan beras. Penyelesaian pada penelitian ini adalah menggunakan metode pendekatan sistem dinamis, dengan langkah awal pembuatan model causal loop diagram, lalu stock flow diagram hingga simulasi dengan bantuan software vensim. Hasil yang didapatkan adalah dengan adanya kebijakan jumlah ketersediaan beras meningkat sebanyak 205.840 ton/tahun dan jumlah produksi beras sebanyak 287.216 ton/tahun. Dari hasil diatas bisa disimpulkan dengan adanya kebijakan untuk peningkatan produktivitas dapat meningkatkan hasil produksi beras dan ketersediaan beras begitu juga dengan kebijakan pengurangan lahan mutasi dapat berpengaruh juga dalam meningkatnnya ketersediaan beras dan produksi beras.
HUMAN RESOURCE MANAGEMENT INNOVATION IN INCREASING AGRICULTURAL PRODUCTIVITY
Authors: Farida Farida
Published: July 2024

Agriculture as a strategic sector requires an innovative management approach to face global challenges in meeting increasing food needs. This research aims to investigate and analyze the implementation of human resource management (HR) innovation in the agricultural sector with a focus on increasing agricultural productivity. This research uses a qualitative approach with descriptive methods. The research results show that the implementation of Human Resources (HR) management innovations in the agricultural sector has a positive impact on production results and farmer welfare. Steps such as contextual training, application of information and communication technology, performance-based approaches, as well as empowerment through the formation of groups or cooperatives, and risk management make a significant contribution to increasing agricultural efficiency and sustainability. Farmers involved in these innovations demonstrate improved skills, access to information, efficient collaboration and the ability to manage risk. Thus, the results of this research provide a strong basis for stakeholders to adopt and expand the implementation of HR management innovations to encourage more adaptive, competitive and sustainable agriculture in the future.