bluuebunny/crossref_metadata_2025_split huggingface dataset:
Planar Complementary Archimedes Metamaterial Absorber with Polarization Sensitivity for Microwave Sensing Applications
Authors: Lateef Omar S. , Al-Badri Mohammed , Al-badri Khalid Saeed Lateef , Mohammed Sarah Adnan 
Published: September 2023

Abstract
We have developed and simulated a planar complementary Archimedes-based metamaterial absorber with the goal of its application in refractive index sensing. Unlike designs that employ multiple layers or numerous resonators within a single unit cell, our proposed absorber adopts a more streamlined approach. It consists of three layers, with an FR4 dielectric substrate sandwiched between two copper layers. It's important to note that the absorption characteristics of this design are polarization-dependent. This polarization dependence arises from the asymmetrical resonance behavior observed in both the x and y directions. The absorber exhibits impressive absorption rates at various resonance frequencies, namely 98.5% at f1 = 8.49 GHz, 77.1% at f2 = 8.88 GHz, 88.7% at f3 = 9.3 GHz, 98.2% at f4 = 9.87 GHz, 99.7% at f5 = 10.65 GHz, 83.4% at f6 = 11.58 GHz, and 99.9% at f7 = 12.24 GHz. Furthermore, we've explored the refractive index sensing capabilities of this structure by introducing a 1 mm analyte layer on top of the patch structure. Through refractive index sensing analysis, we've determined that this absorber-based sensor yields an impressive high-quality factor value of 84.5, underscoring its sensitivity and precision. To gain a deeper understanding of the physical mechanisms at play, we've conducted an analysis of surface current distribution plots. Additionally, we've investigated the behavior of the absorber under varying polarization and incident angle conditions, ranging from zero degrees to sixty degrees. This comprehensive characterization positions our absorber as a promising candidate for microwave sensing applications.
Environmental and socio-economic determinants of mosquito vector species presence and abundance in Los Angeles County, California
Authors: Hill Megan , Wilke Andre B.B. , Fuller Douglas O. , Kummer Allisandra G. , Ventura Paulo C. , Beier John C. , Kluh Susanne , Vetrone Steven , Litvinova Maria , Ajelli Marco 
Published: September 2023

Abstract
Los Angeles County, California, is one of the areas most affected by arboviruses in the continental United States, reporting the second highest number of West Nile human cases in the nation and one of the highest numbers of imported dengue cases. Culex quinquefasciatus and Aedes aegypti are primary vectors of West Nile and dengue viruses, respectively. Both species are present and abundant in Los Angeles County, creating fertile grounds for arbovirus outbreaks. In this study, we aim to provide a comprehensive assessment of environmental and socio-economic features associated with the presence and abundance of Ae. aegypti and Cx. quinquefasciatus in Los Angeles County, California. To explore these associations, we leveraged mosquito surveillance data at fine spatial resolution that comprises 1,652 observations for 171 traps. We performed a Principal Component Analysis to reduce the dimensionality of the environmental and socio-economic data and developed a zero-inflated negative binomial model.
Our results show that the presence of Cx. quinquefasciatus and Ae. aegypti in Los Angeles County is not associated with temperature, while it is associated with component identifying younger, more Hispanic, poorer, densely populated areas with less vegetation. The association with vegetation is particularly important for Ae. aegypti. On the other hand, when mosquito species are present, their abundance is significantly associated with temperature and differs by the month of the year. Moreover, the abundance of Cx. quinquefasciatus is negatively associated with components identifying areas with higher income, more home-value inequality, larger shares of both older and younger population, and lower vegetation; on the other hand, the relative abundance of Ae. aegypti is negatively associated with vegetation and presence of surface water.
Our study provides valuable insights into the environmental and socio-economic characteristics allowing the proliferation of Cx. quinquefasciatus and Ae. aegypti. Enhancing mosquito surveillance and control in areas where these joint distributions of identified characteristics create suitable conditions for mosquito proliferation could improve arbovirus outbreak preparedness and response, as well as promote health equity.
Severe decline in large agroforestry trees in India over the past decade
Authors: Brandt Martin , Gominski Dimitri , Reiner Florian , Kariryaa Ankit , Guthula Venkanna , Ciais Philippe , Tong Xiaoye , Zhang Wenmin , Govindarajulu Dhanapal , Ortiz-Gonzalo Daniel , Fensholt Rasmus 
Published: September 2023

Abstract

Agroforestry trees represent a vital part of India's landscapes, however, despite their significance, a current lack of robust monitoring mechanisms has contributed to an insufficient grasp of their distribution in relation to management practices, as well as their vulnerability to climate change and diseases. Here we map all agroforestry trees, excluding block plantations, in India for each year 2010/2011 and 2018-2022. We reveal a count of about 0.6 billion trees, and track each tree crown over the past decade. Around 11±2% of the large trees (about 96 m2 crown size) mapped in 2010/2011 were disappeared by 2018. Moreover, during the period 2018-2022, more than 5 million large farmland trees (about 67 m2 crown size) have vanished, partly due to altered cultivation practices, where trees within fields are perceived as detrimental to crop yields. These observations are particularly unsettling given the current emphasis on agroforestry as a pivotal natural climate solution, playing a crucial role in both climate change adaptation and mitigation strategies.
Presence and Abundance of Malaria Vector Species in Miami-Dade County, Florida
Authors: Wilke Andre B. B. , Vasquez Chalmers , Medina Johana , Unlu Isik , Beier John C. , Ajelli Marco 
Published: September 2023

Abstract

Malaria outbreaks have sporadically occurred in the United States, with Anopheles quadrimaculatus serving as the primary vector in the eastern region. Anopheles crucians, while considered a competent vector, have not been directly implicated in human transmission. Considering the locally acquired Plasmodium vivax cases in Sarasota County, Florida (7 confirmed cases) and Cameron County, Texas (one confirmed case) in the summer of 2023, we hypothesized that other major urban areas in the United States harbor conducive conditions for local malaria transmission. Thus, our objective is to profile the most abundant Anopheles vector species in Miami-Dade, Florida – An. crucians and An. quadrimaculatus. We analyzed high-resolution mosquito surveillance data from 2020 to 2022 in Miami-Dade County, Florida. A total of 36,589 An. crucians and 9,943 An. quadrimaculatus were collected during this study by the surveillance system (which comprises 322 CO2-based traps). Our findings reveal a highly heterogeneous distribution of An. crucians and An. quadrimaculatus in Miami-Dade County, highlighting the presence of highly conducive environments in transition zones between natural/rural and urban areas. Anopheles quadrimaculatus, and to a lesser extent An. crucians, pose a considerable risk of malaria transmission during an outbreak, given their high abundance and close proximity to humans. Understanding the factors driving Anopheles vector species' proliferation, population dynamics, and spatial distribution is vital for implementing effective mosquito control and reducing the risk of malaria outbreaks in the United States.
Muscle Estimation using Stacked-LSTM Multivariate Regression Model
Authors: Siow Chyan Zheng , Wang Weihao , Chuquirachi Franz , Saputra Azhar Aulia , Obo Takenori , Kubota Naoyuki 
Published: September 2023

Abstract
Muscle estimation is required to estimate the muscle activity of older adults, and a real-time process can influence the effectiveness of monitoring applications. However, using simulation tools to assess muscle activity consumes much computation energy, which is ineffective for long term monitoring. In this paper, we proposed a novel method named Stacked-LSTM (S-LSTM) multivariate regression model for muscle estimation. S-LSTM contributes to resolving the local information lost in the sequence to-sequence architecture. To validate the proposed model, we recorded human walking on a treadmill using multiple Kinect Azure to form the 3D skeleton joints as the input to our model to predict muscle activity. These skeleton data are passed to Human Musculoskeletal Simulation based on Mujoco Engine to generate the desired outputs for training and testing. Through the experiment, S-LSTM outperforms other multivariate regression models. We measured computation time, and our proposed model runs 0.25 milliseconds faster than the MuJoCo simulation tool.
The Effect of Group Guidance with The Bibliotherapy Method on Increasing ABH Resilience in LPKA Class II A Bengkulu
Authors: Pasmawati Hermi 
Published: September 2023

This study aims to 1) determine the influence of group guidance with the Biblioterpahy method on increasing ABH resilience in LPKA Kelas II A Bengkulu. The type of research used is action research or Action Research. The subject of the study was Children Facing the Law (ABH) who underwent the coaching process at LPKA Class II A Bengkulu which was selected using pruposive sampling techniques, so that 10 ABH people who met the creteria were obtained. The research instrument uses questionnaires, observation sheets and interviews. Data analysis techniques consist of 4 stages, namely. data selection, data correction, data interpretation and inference. The findings of the study revealed that; group guidance with the biblioteraphy method can help develop and improve ABH resilience, although in the aspect of self-confidence or (self efficacy) it still needs further strengthening and coaching, thus it can be concluded that group guidance with the biblioteraphy method has an effect in increasing ABH releintion in LPKA Kelas II A Bengkulu Class II A Bengkulu.
Keywords: : group guidance; biblioterphy; Resilience, Children Face the Law
Self-compassion dan Non-suicidal Self-injury pada Wanita Dewasa Awal
Authors: Khairunnisa Deyla Fitriyani , Ninin Retno Hanggarani , Abidin Fitri Ariyanti 
Published: September 2023

Non-suicidal Self-Injury (NSSI) merupakan bentuk perilaku melukai diri sendiri, tanpa ada niatan untuk bunuh diri. Biasanya NSSI dilakukan ketika individu sedang menghadapi stressor yang memicu emosi negatif. NSSI merupakan fenomena klinis, dikarenakan tidak membantu menghasilkan penyelesaian masalah yang efektif dan membuat individu cenderung semakin larut dalam emosi negatif. Self-compassion adalah proses pemahaman tanpa kritik, terhadap penderitaan, kegagalan atau ketidakmampuan diri. Penelitian ini dilakukan guna memahami bagaimana gambaran self-compassion pada individu yang melakukan NSSI dan bagaimana self-compassion berhubungan dengan perilaku NSSI. Pendekatan penelitian ini adalah studi kualitatif, berupa studi kasus yang dilakukan pada dua wanita dewasa awal (24 tahun dan 23 tahun) yang melakukan NSSI minimal dalam satu tahun terakhir. Keduanya melakukan NSSI dalam bentuk utama yakni menyakiti bagian kepala. Data dianalisis mengunakan within-case analysis untuk menelaah kasus tiap individu, lalu kemudian dilakukan cross-cases analysis untuk membandingkan kedua kasus. Hasilnya menunjukan bahwa pada kedua individu yang melakukan NSSI, self-compassion-nya cenderung rendah. Dimana rendahnya self-compassion mengaktivasi emosi negatif yang semakin kuat, sehingga partisipan melakukan NSSI untuk menyalurkan emosi negatif tersebut. Pentingnya peran self-compassion dapat menjadi faktor potensial untuk mencegah perilaku NSSINon-suicidal Self-Injury (NSSI) merupakan bentuk perilaku melukai diri sendiri, tanpa ada niatan untuk bunuh diri. Biasanya NSSI dilakukan ketika individu sedang menghadapi stressor yang memicu emosi negatif. NSSI merupakan fenomena klinis, dikarenakan tidak membantu menghasilkan penyelesaian masalah yang efektif dan membuat individu cenderung semakin larut dalam emosi negatif. Self-compassion adalah proses pemahaman tanpa kritik, terhadap penderitaan, kegagalan atau ketidakmampuan diri. Penelitian ini dilakukan guna memahami bagaimana gambaran self-compassion pada individu yang melakukan NSSI dan bagaimana self-compassion berhubungan dengan perilaku NSSI. Pendekatan penelitian ini adalah studi kualitatif, berupa studi kasus yang dilakukan pada dua wanita dewasa awal (24 tahun dan 23 tahun) yang melakukan NSSI minimal dalam satu tahun terakhir. Keduanya melakukan NSSI dalam bentuk utama yakni menyakiti bagian kepala. Data dianalisis mengunakan within-case analysis untuk menelaah kasus tiap individu, lalu kemudian dilakukan cross-cases analysis untuk membandingkan kedua kasus. Hasilnya menunjukan bahwa pada kedua individu yang melakukan NSSI, self-compassion-nya cenderung rendah. Dimana rendahnya self-compassion mengaktivasi emosi negatif yang semakin kuat, sehingga partisipan melakukan NSSI untuk menyalurkan emosi negatif tersebut. Pentingnya peran self-compassion dapat menjadi faktor potensial untuk mencegah perilaku NSSI.
Rancang Bangun Penyedot Debu Berbasis Internet of Things
Authors: Anggasemara Ni Luh Ketut Inggitarahayu , Suarjaya I Made Agus Dwi , Bayupati I Putu Agung 
Published: September 2023

AbstractThe floor cleaning tools that we usually use, such as a broom or duster, cause dust to fly which can leave dust in the room. The thing that can be done to overcome this problem is to develop a system that can receive a command to clean the dust, either automatically or manually controlled. This tool is made using the Arduino Uno microcontroller with streaming video using the ESP32-CAM, also HC-SR04 Ultrasonic Sensor and Infrared Sensor as obstacle detectors so that the robot can walk on the floor or table. This research was developed using the Prototyping Method starting from the data collection stage to the system testing stage. The data collection technique is by observing and studying the literature. The test results show that the robot is able to vacuum effectively at speeds of 50-100 with an average effectiveness of 98.27% at speeds of 100 and 83.32% at speeds of 60. Sensor testing of the robot's motion in automatic mode has shown suitability, and the robot can move actively for 25 minutes. Keyword : Arduino Uno, Infrared Sensors, Ultrasonic Sensors, Vacuum Cleaner AbstrakAlat pembersih lantai yang biasa kita gunakan seperti sapu atau kemoceng membuat debu berterbangan yang bisa membuat debu masih tertinggal di ruangan. Adapun hal yang dapat dilakukan untuk mengatasi permasalahan tersebut ialah mengembangkan sebuah sistem yang bisa menerima sebuah perintah untuk memberishkan debu, baik dengan cara otomatis maupun dikontrol secara manual. Alat ini dibuat menggunakan mikrokontroler Arduino UNO dengan streaming video menggunakan ESP32-CAM, serta Sensor Ultrasonik HC-SR04 dan Sensor Infrared sebagai pendeteksi halangan agar robot dapat berjalan di lantai maupun meja. Adapun penelitian ini dekembangkan dengan menggunakan Metode Prototyping mulai dari tahap pengumpulan data hingga tahap pengujian sistem. Teknik pengumpulna data yang digunakan yaitu dengan melakukan pengamatan dan studi literatur. Hasil pengujian menunjukkan robot sudah mampu menyedot debu secara efektif pada kecepatan 50-100 dengan efektivitas rata-rata 98,27% pada kecepatan 100 dan 83,32% pada kecepatan 60. Pengujian sensor terhadap gerakan robot pada mode otomatis sudah menunjukkan kesesuaian, serta robot dapat bergerak secara aktif selama 25 menit. Kata Kunci : Arduino Uno, Penyedot Debu, Sensor Infrared, Sensor Ultrasonik
Framing a social network analysis approach to understanding reputational power in the water governance of Johor, Malaysia
Authors: Wan Ahmad Tajuddin Wan Asiah Nurjannah , Zainon Noor Zainura , Weng Wai Choong , Aris Azmi , Nagheeby Mohsen , Sa'adi Zulfaqar , Amezaga Jaime , Abdul Wahid Nor Atikah 
Published: September 2023

Abstract
The challenge of collaborative water governance often lies in the complexity of the networks involved in its processes, particularly in understanding the location of power and how the reputational power can be executed for policy decisions. A case study of the state of Johor, Malaysia, was done with the goal of figuring out a method for mapping out reputational powers in the network of actors involved in the water governance of the state. To achieve this goal, this study deconstructs the different facets of the state’s water governance system by outlining the spatial, operational, and legal boundaries of various agencies. The fundamental issues identified through this step are the complexity that leads to fragmented water governance. A research framework is thus proposed, derived from a qualitative approach whereby through in-depth interviews, respondents are asked to rank the water-related agencies based on their perceived influence. These rankings derived from qualitative interviews are given weights and subsequently measured using parameters such as density and in-degree centrality to provide quantitative evidence of the reputational powers held by actors in the water governance network. The study supports the future use of the reputational power research framework to achieve collaborative water governance solutions.
Partai Buruh dan Kelas Pekerja di Indonesia
Authors: Ekayanta Fredick Broven 
Published: September 2023

This article discusses the Labor Party’s initiatives to create a political party that represents Indonesia’s working class. Unlike other parties that were formed because of factionalization, internal conflict, or top-down by certain business elites, The Labor Party demonstrates the existence of political parties in Indonesia that were founded as an expression of dissatisfaction with a particular state policy, like Cipta Kerja Bill. Using the method and discourse theory by Ernesto Laclau, this article argues that the Labor Party's founding was initiated by enacting regulation that was seen as the “common enemy” of social organizations. The existence of a common enemy revives the shared awareness and forms the logic of equivalence of having a political party as its own. As a party based on the working class, it creates political frontiers against the government, existing political parties, and oligarchs, which are considered responsible for not fulfilling the demands of the working class in Indonesia.
Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study
Authors: Huang Guoqing , Jin Qiankai , Mao Yushan 
Published: September 2023

Background
Nonalcoholic fatty liver disease (NAFLD) has emerged as a worldwide public health issue. Identifying and targeting populations at a heightened risk of developing NAFLD over a 5-year period can help reduce and delay adverse hepatic prognostic events.

Objective
This study aimed to investigate the 5-year incidence of NAFLD in the Chinese population. It also aimed to establish and validate a machine learning model for predicting the 5-year NAFLD risk.

Methods
The study population was derived from a 5-year prospective cohort study. A total of 6196 individuals without NAFLD who underwent health checkups in 2010 at Zhenhai Lianhua Hospital in Ningbo, China, were enrolled in this study. Extreme gradient boosting (XGBoost)–recursive feature elimination, combined with the least absolute shrinkage and selection operator (LASSO), was used to screen for characteristic predictors. A total of 6 machine learning models, namely logistic regression, decision tree, support vector machine, random forest, categorical boosting, and XGBoost, were utilized in the construction of a 5-year risk model for NAFLD. Hyperparameter optimization of the predictive model was performed in the training set, and a further evaluation of the model performance was carried out in the internal and external validation sets.

Results
The 5-year incidence of NAFLD was 18.64% (n=1155) in the study population. We screened 11 predictors for risk prediction model construction. After the hyperparameter optimization, CatBoost demonstrated the best prediction performance in the training set, with an area under the receiver operating characteristic (AUROC) curve of 0.810 (95% CI 0.768-0.852). Logistic regression showed the best prediction performance in the internal and external validation sets, with AUROC curves of 0.778 (95% CI 0.759-0.794) and 0.806 (95% CI 0.788-0.821), respectively. The development of web-based calculators has enhanced the clinical feasibility of the risk prediction model.

Conclusions
Developing and validating machine learning models can aid in predicting which populations are at the highest risk of developing NAFLD over a 5-year period, thereby helping delay and reduce the occurrence of adverse liver prognostic events.
Verifikasi Metode Analisis Kadar Total Fosfat dalam Air Limbah Laundry Merujuk pada SNI 06-6989.31-2005
Authors: Suryani Made Yuri , Hariyadi Asful , Paramita Adhe , Safitri Rika Awalin 
Published: September 2023

Peningkatan kegiatan Usaha Mikro Kecil dan Menengah (UMKM) di bidang jasa pencucian (laundry) Balikpapan semakin berkembang setiap tahunnya. Proses aktivitas laundry menghasillkan limbah cair yang mengandung polutan senyawa beracun dan berbahaya, salah satunya adalah senyawa fosfat, yang apabila memiliki kadar yang melebihi dari BMAL (Baku Mutu Air Limbah) yang sudah ditentukan yaitu maksimum 2 mg/L maka akan berbahaya bagi lingkungan dan dapat menyebabkan pencemaran air. Oleh sebab itu, dalam rangka mengendalikan pencemaran air seuai batas baku mutu air limbah maka diperlukan adanya analisis pengukuran kadar fosfat sebelum di alirkan ke badan air. Adapun tujuan dari penelitian ini yaitu untuk mempelajari teknik karakterisasi parameter kadar fosfat yang terkandung dalam sampel uji dengan menggunakan instrumentasi Spektrofotometer UV-Vis berdasarkan SNI 06-6989.31-2005. Prosedur pengambilan contoh uji air limbah merujuk pada SNI 6989.59-2008 pada salah satu usaha laundry di Kota Balikpapan, Kalimantan Timur pada dua sumber saluran pembuangan sebelum masuk perairan penerima limbah. Analisis dilaksanakan pada Laboratorium Karakterisasi, Pusat Laboratorium Terpadu ITK dengan pengulangan sebanyak 7 (tujuh) kali pada masing-masing contoh uji. Data hasil analisis pada parameter batas deteksi dan batas kuantitasi diperoleh sebesar 0,033 mg/L dan 0,083 mg/L. Nilai parameter presisi sampel uji air limbah laundry memperoleh nilai %RSD pada air limbah laundry A dan B sebesar 3,965% dan 3,809%. Nilai %recovery pada air limbah A dan B sebesar 98,211% dan 86,611%. Sehingga hasil analisa kadar fosfat dalam air limbah laundry A dan B diperoleh sebesar 0,290 mg/L dan 0,276 mg/L. Hasil tersebut menunjukkan bahwa kadar fosfat pada sampel air limbah laundry tidak melebihi batas ambang air limbah dan metode analisa uji dapat diterapkan pada Laboratorium Terpadu, Institut Teknologi Kalimantan.