bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effects of Internet-Based Cognitive Behavioral Therapy for Suicidal Ideation or Behaviors on Depression, Anxiety, and Hopelessness in Individuals With Suicidal Ideation: Systematic Review and Meta-Analysis of Individual Participant Data
Authors: Sander Lasse B , Beisemann Marie , Doebler Philipp , Micklitz Hannah Moon , Kerkhof Ad , Cuijpers Pim , Batterham Philip , Calear Alison , Christensen Helen , De Jaegere Eva , Domhardt Matthias , Erlangsen Annette , Eylem-van Bergeijk Ozlem , Hill Ryan , Mühlmann Charlotte , Österle Marie , Pettit Jeremy , Portzky Gwendolyn , Steubl Lena , van Spijker Bregje , Tighe Joseph , Werner-Seidler Aliza , Büscher Rebekka
Published: June 2023

Background

Suicide is a global public health problem. Digital interventions are considered a low-threshold treatment option for people with suicidal ideation or behaviors. Internet-based cognitive behavioral therapy (iCBT) targeting suicidal ideation has demonstrated effectiveness in reducing suicidal ideation. However, suicidal ideation often is related to additional mental health problems, which should be addressed for optimal care. Yet, the effects of iCBT on related symptoms, such as depression, anxiety, and hopelessness, remain unclear.

Objective

We aimed to analyze whether digital interventions targeting suicidal ideation had an effect on related mental health symptoms (depression, anxiety, and hopelessness).

Methods

We systematically searched CENTRAL, PsycInfo, Embase, and PubMed for randomized controlled trials that investigated guided or unguided iCBT for suicidal ideation or behaviors. Participants reporting baseline suicidal ideation were eligible. Individual participant data (IPD) were collected from eligible trials. We conducted a 1-stage IPD meta-analysis on the effects on depression, anxiety, and hopelessness—analyzed as 2 indices: symptom severity and treatment response.

Results

We included IPD from 8 out of 9 eligible trials comprising 1980 participants with suicidal ideation. iCBT was associated with significant reductions in depression severity (b=−0.17; 95% CI −0.25 to −0.09; P<.001) and higher treatment response (ie, 50% reduction of depressive symptoms; b=0.36; 95% CI 0.12-0.60; P=.008) after treatment. We did not find significant effects on anxiety and hopelessness.

Conclusions

iCBT for people with suicidal ideation revealed significant effects on depression outcomes but only minor or no effects on anxiety and hopelessness. Therefore, individuals with comorbid symptoms of anxiety or hopelessness may require additional treatment components to optimize care. Studies that monitor symptoms with higher temporal resolution and consider a broader spectrum of factors influencing suicidal ideation are needed to understand the complex interaction of suicidality and related mental health symptoms.
The Effects of Internet-Based Cognitive Behavioral Therapy for Suicidal Ideation or Behaviors on Depression, Anxiety, and Hopelessness in Individuals With Suicidal Ideation: Systematic Review and Meta-Analysis of Individual Participant Data (Preprint)
Authors: Sander Lasse B , Beisemann Marie , Doebler Philipp , Micklitz Hannah Moon , Kerkhof Ad , Cuijpers Pim , Batterham Philip , Calear Alison , Christensen Helen , De Jaegere Eva , Domhardt Matthias , Erlangsen Annette , Eylem-van Bergeijk Ozlem , Hill Ryan , Mühlmann Charlotte , Österle Marie , Pettit Jeremy , Portzky Gwendolyn , Steubl Lena , van Spijker Bregje , Tighe Joseph , Werner-Seidler Aliza , Büscher Rebekka
Published: June 2023

BACKGROUND

Suicide is a global public health problem. Digital interventions are considered a low-threshold treatment option for people with suicidal ideation or behaviors. Internet-based cognitive behavioral therapy (iCBT) targeting suicidal ideation has demonstrated effectiveness in reducing suicidal ideation. However, suicidal ideation often is related to additional mental health problems, which should be addressed for optimal care. Yet, the effects of iCBT on related symptoms, such as depression, anxiety, and hopelessness, remain unclear.

OBJECTIVE

We aimed to analyze whether digital interventions targeting suicidal ideation had an effect on related mental health symptoms (depression, anxiety, and hopelessness).

METHODS

We systematically searched CENTRAL, PsycInfo, Embase, and PubMed for randomized controlled trials that investigated guided or unguided iCBT for suicidal ideation or behaviors. Participants reporting baseline suicidal ideation were eligible. Individual participant data (IPD) were collected from eligible trials. We conducted a 1-stage IPD meta-analysis on the effects on depression, anxiety, and hopelessness—analyzed as 2 indices: symptom severity and treatment response.

RESULTS

We included IPD from 8 out of 9 eligible trials comprising 1980 participants with suicidal ideation. iCBT was associated with significant reductions in depression severity (b=−0.17; 95% CI −0.25 to −0.09; P<.001) and higher treatment response (ie, 50% reduction of depressive symptoms; b=0.36; 95% CI 0.12-0.60; P=.008) after treatment. We did not find significant effects on anxiety and hopelessness.

CONCLUSIONS

iCBT for people with suicidal ideation revealed significant effects on depression outcomes but only minor or no effects on anxiety and hopelessness. Therefore, individuals with comorbid symptoms of anxiety or hopelessness may require additional treatment components to optimize care. Studies that monitor symptoms with higher temporal resolution and consider a broader spectrum of factors influencing suicidal ideation are needed to understand the complex interaction of suicidality and related mental health symptoms.

CLINICALTRIAL

Open Science Framework; https://osf.io/mvnjk
Intensive Longitudinal Methods Among Adults With Breast or Lung Cancer: Scoping Review (Preprint)
Authors: Geeraerts Joran , de Nooijer Kim , Pivodic Lara , De Ridder Mark , Van den Block Lieve
Published: June 2023

BACKGROUND

Intensive longitudinal methods offer a powerful tool for capturing daily experiences of individuals. However, its feasibility, effectiveness, and optimal methodological approaches for studying or monitoring experiences of oncology patients remain uncertain.

OBJECTIVE

This scoping review aims to describe to what extent intensive longitudinal methods with daily electronic assessments have been used among patients with breast or lung cancer and with which methodologies, associated outcomes, and influencing factors.

METHODS

We searched the electronic databases (PubMed, Embase, and PsycINFO) up to January 2024 and included studies reporting on the use of these methods among adults with breast or lung cancer. Data were extracted on population characteristics, intensive monitoring methodologies used, study findings, and factors influencing the implementation of these methods in research and clinical practice.

RESULTS

We identified 1311 articles and included 52 articles reporting on 41 studies. Study aims and intensive monitoring methodologies varied widely, but most studies focused on measuring physical and psychological symptom constructs, such as pain, anxiety, or depression. Compliance and attrition rates seemed acceptable for most studies, although complete methodological reporting was often lacking. Few studies specifically examined these methods among patients with advanced cancer. Factors influencing implementation were linked to both patient (eg, confidence with intensive monitoring system) and methodology (eg, option to use personal devices).

CONCLUSIONS

Intensive longitudinal methods with daily electronic assessments hold promise to provide unique insights into the daily lives of patients with cancer. Intensive longitudinal methods may be feasible among people with breast or lung cancer. Our findings encourage further research to determine optimal conditions for intensive monitoring, specifically in more advanced disease stages.
Deconstructing Neurosurgery & Social Media: A Data Driven Study Analyzing Techniques to Increase Impact (Preprint)
Authors: Singh Rohin , Vivanco-Suarez Juan , Gendreau Julian , Musmar Basel , Patel Neal , O. Stonnington Henry , J. Brown Nolan , C. Kuo Cathleen , Shahrestani Shane , Burkhardt Jan-Karl , Srinivasan Visish , N. Gottfried Oren
Published: June 2023

BACKGROUND

Many neurosurgeons mirror societal trends by becoming increasingly active on social media platforms. Twitter is the most commonly used platform in neurosurgery. It is not yet clear what factors influence the success of a neurosurgical Twitter account.

OBJECTIVE

We seek to understand the factors driving optimal neurosurgeon engagement with the Twitter community by deconstructing the Twitter content of the 100 most influential neurosurgeon accounts.

METHODS

The 100 most influential social media Twitter accounts for “neurosurgery” were identified in April 2022 using the Cronycle proprietary software. Baseline data and Twitter activity were collected from January – April 2022. Each tweet was categorized, and engagement scores were calculated. Descriptive statistics were used to summarize the Top 100 influencers. Twitter accounts were stratified and compared according to their engagement (Top 10% vs. Bottom 10%).

RESULTS

A total of 11521 tweets from the Top 100 neurosurgeons were analyzed. Most accounts (72) were from the United States. The most common subspecialties were vascular (27), skull-base (13), and spine (12). Most tweets were educational (36.6%), personal (31%) and self-promotion (12.6%). The most common hashtag was #neurosurgery (25%). The Top 10% of neurosurgeon Twitter users had a higher tweet frequency (p=<0.001); higher amounts of educational, inspirational, self-promotional and personal tweets (all p=<0.001); and higher quantities of posts featuring pictures, website links, and hashtags (all p=<0.001).

CONCLUSIONS

Neurosurgeons can best optimize Twitter engagement by increasing frequency of their tweets, using more photos, videos, hashtags, and mentions, and recognizing the engagement value of the educational, inspirational, self-promotional, or personal tweet types.

CLINICALTRIAL

N/A
Persepsi Wisatawan Domestik terhadap Autentisitas Batik di Pasar Beringharjo
Authors: Banurukmi Hanin
Published: June 2023

Aside from maintaining its function as a traditional market, Pasar Beringharjo also serves as a batik-shopping destination for tourists who visit Yogyakarta. However, Batik(s) originated from Yogyakarta are not the only ones that can be found here, as other regions' Batik can also be obtained in Beringharjo. This indeed is a contradicting situation as souvenirs produced by local craftsmen embody important values for tourists. This study attempts to figure out how domestic tourists perceive the authenticity of batik in Beringharjo. Through the descriptive-qualitative study, 11 informants from various regions in Indonesia, except Daerah Istimewa Yogyakarta province, were interviewed with a semistructured technique. The interview questions were developed from the adaptation of the souvenir authenticity theory by Littrell, Anderson, and Brown (1993: 204-207). The results indicate that domestic tourists perceive the authentic Yogyakarta batik as batik that does not originate from other regions; has high-quality materials; can not be bought in other regions; is made with the traditional "canting tulis" method; has unique characteristics; and uses the original colors of Yogyakarta.
Piper Betel and Areca Nut: Interfacing Cultural, Communication and Ethno-therapeutic Knowledge as Reflected in the Kalinga Epic, the Ullalim
Authors: B. Bulwayan Ronald , Alunday – Balocnit Divina , M. Sannadan Jessie Grace
Published: June 2023

This study is focused on piper betel/arecanut chewing in Kalinga. It aimed to explore the Kalinga epic, the Ullalim to find out the cultural significance of piper betel/areca nut chewing. The literary analysis of the Kalinga epic revealed that there are cultural significances and ethno-therapeutic effects of chewing piper betel/ areca nut reflected in the Ullalim. It is then recommended that young chewers should become more aware of the social and cultural significances of chewing piper betel/areca nut.
Pride and Prejudice Adaptations: A Comparative Study
Authors: Chowdhury Sharanya
Published: June 2023

The study delves into a carefully curated selection of adaptations, including prominent and lesser-known versions across different media platforms. By employing a multidimensional framework, encompassing narrative fidelity, character portrayals, visual aesthetics, and thematic interpretation, this research aims to illuminate the nuances and variations in each adaptation. Furthermore, it seeks to identify the key factors that influenced creative decisions, such as socio-cultural context, target audience, and prevailing cinematic trends.
Geoprocesamiento con Python Manual introductorio para el uso de Python en procesamiento de imágenes satelitales
Authors:   El Colegio de la Frontera Sur, Hernández Huerta Laura Mónica , Domínguez Vera Roberto de Jesús ,   El Colegio de la Frontera Sur, Castillo Santiago Miguel Ángel ,   El Colegio de la Frontera Sur
Published: June 2023

Python es un lenguaje de programación de alto nivel cuya gama de aplicaciones es muy amplia, dentro del cómputo científico se han desarrollado una impresionante cantidad de de librerías y aplicaciones. En este manual se presenta una breve introducción al tratamiento de imágenes satelitales usando Python. Se muestran conceptos básicos del lenguaje de programación y de las imágenes satelitales. A través de ejemplos se propone al lector adentrarse en la exploración de esta valiosa herramienta de software libre.
Investigación científica y transferencia de conocimiento: ¿Desafío en la formación universitaria?
Authors: Sánchez Ambriz Gerardo , Yáñez Hernández Adriana , Sánchez Ambriz M. Leticia
Published: June 2023

Las funciones sustantivas de la Instituciones de Educación Superior (Universidades) en sus misiones, enaltecen la Docencia, Difusión de la Cultura, Investigación y en la tercera misión de las mismas enfatizan en la evaluación, emprendurismo y la transferencia del conocimiento; en este contexto, el propósito del artículo es: describir una investigación de tipo documental, a través, del estudio aproximación situacional e indagación, con un diseño no experimental que exploró someramente en una primera etapa los procesos formativos de la investigación científica y la transferencia de conocimientos en educandos de nivel universitario en una Universidad Privada y dos Públicas; examinando el dominio de los eslabones del conocimiento por parte de los educandos en la formulación de trabajos académicos presentados en una asignatura curricular. Los resultados obtenidos aportan evidencias y elementos de juicio, en este momento generales, en pro del fortalecimiento de estrategias docentes relacionadas en dominio de los eslabones del conocimiento y su impacto en el desarrollo de la Investigación Científica.
Arduino Child Caring Robot
Authors: R Harish , D Harish Ragavendar , Kalaiselvi Mrs. , R Dinesh Kumar , V Hari Haran
Published: June 2023

Abstract: Artificial Intelligence (AI) is a rapidly growing field of computer science that focuses on the development of intelligent machines that can perform tasks that typically require human intelligence, such as perception, learning, reasoning, problemsolving, and decision-making. AI involves the study and development of algorithms and computer programs that can simulate human cognitive abilities and can improve their performance over time through machine learning and deep learning.The goal of AI is to create intelligent machines that can think, reason, and learn like humans, and that can perform complex tasks such as natural language processing, image recognition, and decision-making in real-world scenarios. AI has the potential to revolutionize and manufacturing, by improving efficiency, accuracy, and speed in various Processes There are different types of AI, including rule-based AI, which follows a set of predefined rules to make decisions, and machine learning-based AI, which learns from data to improve its performance. Deep learning, a subset of machine learning, uses neural networks to model complex relationships in data and is responsible for many of the recent advances in AI, including image and speech recognition. Despite the many benefits of AI, there are also concerns about its impact on society, including job displacement, bias in decisionmaking, and the potential misuse of AI for harmful purposes. Therefore, it is important to develop
Predicting Online Customer Purchase using Gradient Boost Classifier
Authors: Sreekumar Arushi , S M Renuka Devi
Published: June 2023

Abstract: Understanding client buying behavior is crucial for firms in order to enhance targeting consumers, maximize marketing efforts, and boost overall sales success. In order to identify whether a client is inclined to make a purchase or not, the Gradient Boosting algorithm is used in this paper's predictive modeling technique. The Gradient Boosting technique is used to create a model for prediction because it can handle complicated connections and detect non-linear patterns. The technique includes a number of steps, such as feature engineering, model training, and performance evaluation. The data preparation methods used include feature encoding, feature selection, and missing value imputation. On the labeled dataset, the Gradient Boosting classifier is trained, with prediction accuracy being optimized.
Load Demand Response Controller
Authors: Priyanka Y.
Published: June 2023

Abstract: This project aims to design a system which helps electricity consumers to monitor and control their electrical loads. In this system, the energy meter is connected to an optocoupler which provides optical isolation and transfers electrical signals between the energy meter and Arduino UNO. This system has a step-down transformer and Regulated Power Supply (RPS) to provide supply to Arduino UNO and to the loads through electromagnetic relays. The electromagnetic relays act like a switch for the operation of the loads. The system is enabled with an Arduino UNO which acts like a control device. A Wi-Fi module ESP8266 is used to link the Arduino UNO to the internet. All of the data is processed by Arduino, and the Wi-Fi module communicates the energy consumption values to the Blynk application. Through Blynk application, the energy consumption values and load turn on/turn off options are available. From the Blynk application, relays can be operated as switches. The energy consumption is calculated by the Arduino UNO and when the peak load consumption is reached, the Wi-Fi module will send an email to the consumer’s email id notifying them to turn off the unwanted loads.
A Prototype of the Waste Segregation and Remote Garbage Level Monitoring System
Authors: Pranathi Ms. K.
Published: June 2023

Abstract: The proper management of waste is a significant challenge faced by urban areas worldwide. The lack of an efficient and effective waste management system results in environmental degradation and health hazards. This paper proposes a solution to the problem of waste management by designing and implementing a remote smart waste segregation and garbage level monitoring system. The system consists of two subsystems: waste segregation and garbage level monitoring. The waste segregation subsystem uses sensors to detect the type of waste and segregate it into different dustbins based on its properties, while the garbage level monitoring subsystem uses ultrasonic sensors to monitor the garbage level and send data to cloud for remote monitoring and analysis. When the level of garbage reaches a specific threshold, the system sends an SMS to a predeclared phone number.
Deep Learning Aided 5G Channel Estimation
Authors: Lakshmi Dr. M. Vijaya
Published: June 2023

Abstract: Wireless communications involves the transfer of voiceand data without a cable or wires. It uses orthogonal frequencydivision multiplexing, also known as a multicarrier transmission technique. In multiple input multiple output (MIMO) wireless communication (4G and 5G technologies), channel estimation is crucial. Multiple antennas are used at both the transmit and receive sides ofa MIMO system to increase spectral efficiency and reliability. In 5G channel estimation is performed to improve the accuracy of the received signal. Least-squares estimation is a cheap method with relatively large channel estimationerrors, but it is supported in this work by using a new channel estimation method that leverages deep learning. LS (least squares) and MMSE (minimum mean squared error) are two popular traditional approaches to channel estimation, but deep learning provides much more accurate results than previous channel estimation methods.
Home Surveillance Using Robotic Eye
Authors: Naveena Dr. Ambidi
Published: June 2023

Abstract: Security is the primary concern for everyone. This project is aimed at providing security to homes, banks, museum using robotic eye surveillance system. This project is used to detect the motion using sound technology and provides live streaming when required. Here, a technique of robotic eye surveillance is presented that uses active/passive sound motions to capture and record intruders. This project comprises an eye that mimics a robot eye and a servo motor controlled by Arduino NANO that allow the robotic eye to move. There is of course a sound level measurement and its visualization through a mounted camera inside the eye which is ESP32-CAM, which now acts as an input. And it provides surveillance in 3 directions x, y and z. So, how can the robot know the time it should react? And for what signals it should react? It is decided by time of sounds. The difference is done with the frequencies that are involved and sudden increase of sound intensity. Since 2 microphones are used for direction of sound detection and the continuous sound measurement shows the stepping up of the sound and eventually captures.
Legitimate User Review Based on Sentiment Analysis
Authors: Pooja P. , Divya G.
Published: June 2023

Abstract: Item surveys assume a significant part in choosing the offer of a specific item on the online business sites or applications like Flipkart, Amazon, Snap deal, and so on. In this, we propose a structure to identify counterfeit item surveys or spam audits by utilizing Opinion Mining. The Opinion mining is otherwise called Sentiment Analysis. In assumption investigation, we attempt to sort out the assessment of a client through a piece of text. We first take the audit and check if the survey is identified with the item with the assistance of Decision tree.
Nilai-Nilai Kearifan Lokal dalam Cerita Rakyat Nusantara
Authors: Trisnasasti Ajeng
Published: June 2023

Peran teknologi informasi dan komunikasi pada era digital saat ini tidak dapat dipungkiri telah menggeser peran orang tua dalam mendidik putra putrinya, khususnya dalam hal pembentukan karakter. Kebiasaan orang tua zaman dahulu mendongengkan cerita rakyat menjelang tidur siswa, diakui atau tidak telah semakin ditinggalkan. Sementara instrumen canggih yang bernama internet begitu banyak menawarkan berbagai informasi, pengetahuan, dan budaya tanpa adanya filter. Internet dan televisi terposisikan sebagai guru, namun tanpa memiliki rasio dan rasa. Siswa bebas memilih yang baik atau pun yang buruk tanpa pujian, dorongan, atau pun ancaman dan hukuman. Kondisi ini patut diduga menjadi faktor yang berpengaruh terhadap lunturnya standar moral yang berakar pada nilai-nilai lokal. Kearifan lokal yang dimiliki oleh berbagai kelompok masyarakat dapat digali kembali melalui cerita rakyat sebagai materi pembelajaran di sekolah. Sebagai bentuk sastra lisan, cerita rakyat memuat pesan-pesan moral yang baik, yang dapat menjadi perantara untuk memahami nilai-nilai kearifan lokal kelompok masyarakat tertentu. Pentingnya peran guru adalah mencelupkan siswa dalam cerita-cerita tradisional, sebagai penutur cerita, dan memilih materi cerita sesuai dengan kriteria, yang mencakup: (a) sistem tanda, (b) unsur intrinsik, dan (c) pesan. Tidak kalah penting dari itu adalah peran guru dalam menanamkan nilai-nilai kearifan lokal melalui keteladanan dalam kehidupan nyata.
PENGARUH MEDIA PEMBELAJARAN DAN MOTIVASI BELAJAR TERHADAP KEMAMPUAN MENYIMAK CERITA SISWA KELAS IV SDN MEKARWANGI 02 KABUPATEN BEKASI
Authors: Maesaroh Siti
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengaruh media pembelajaran yaitu youtube dan media gambar serta motivasi belajar dalam meningkatkan kemampuan menyimak cerita pada siswa kelas IV SD Negeri Mekarwangi 02 Kabupaten Bekasi. Menggunakan metode deskriptif kuantitatif dengan jenis penelitian eksperimen murni. Efektifitas penggunaan media youtube dan motivasi belajar terhadap kemampuan menyimak cerita melalui hasil tes akhir atau postes. Dari analisis data X1 dan Y yang diperoleh angka kritik r product moment pada taraf signifikansi 0,05 dan N 50 diperoleh r tabel sebesar 0,297. Dengan demikian r hitung lebih besar dari r tabel 0,729 > 0,297. Ini berarti terdapat hubungan positif antara variabel X1 dan Y, karena berhasil menolak H0 dan diterima H1. Jadi dapat disimpulkan bahwa terdapat perbedaan efektifitas penggunaan media youtube terhadap kemampuan menyimak cerita melalui hasil tes akhir atau postes. Analisis data X2 dan Y diperoleh angka kritik r product moment pada taraf signifikansi 0,05 dan N = 50 diperoleh r tabel sebesar 0,297. Dengan demikian r hitung lebih besar dari r tabel 0,782 > 0,297. Ini berarti terdapat hubungan positif antara variabel X2 dan Y, karena berhasil menolak H0 dan diterima H1. Jadi dapat disimpulkan bahwa terdapat perbedaan efektifitas motivasi belajar terhadap kemampuan menyimak cerita melalui hasil tes akhir atau postes.
Analisis Kekuatan Diksi dan Pencitraan pada Kumpulan Puisi Kang Komar serta Implikasinya dalam Pembelajaran Puisi di Kelas VI SDN Hurip Jaya 03 Kabupaten Bekasi
Authors: Susanto Isti Butsiwati Susanto
Published: June 2023

Penelitian ini mengkaji kekuatan diksi dan pencitraan dalam puisi. Tujuan penelitian ini adalah mendeskripsikan kekuatan diksi meliputi struktur batin puisi  dan pencitraan dalam kumpulan puisi Kang Komar karya Bpk. Edy Sukardi dan mendeskripsikan implikasi hasil penelitian terhadap pembelajaran puisi di kelas VI SD. Jenis penelitian ini merupakan penelitian kualitatif. Sumber data ialah buku kumpulan puisi Kang Komar karya Bpk. Edy Sukardi yang diterbitkan oleh Paedea Press, 2015. Metode yang digunakan dalam penelitian ini adalah metode deskriptif analisis dengan cara mendeskripsikan fakta-fakta yang kemudian dianalisis. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah teknik baca dan catat dilakukan dengan langkah sebagai berikut membaca dan memahami puisi yang akan diteliti. Berdasarkan hasil penelitian terdapat kekuatan diksi dalam kumpulan puisi Kang Komar karya Bpk. Edy Sukardi memiliki kosakata mudah dipahami oleh pembaca, dan penggunaan diksi berkaitan dengan struktur batin yaitu tema, nada, perasaan, dan amanat yang terdapat pada puisi tersebut. Jenis citraan dalam kumpulan puisi Kang Komar terdapat enam jenis citraan yaitu (1). Citraan penglihatan  berjumlah 30 data: 49 %, (2). Citraan pendengaran berjumlah 10 data: 16 %, (3) Citraan penciuman berjumlah 2 data: 3 %, (4) Citraan perabaan  berjumlah 10 data: 6 %,  (5) Citraan pencecapan berjumlah 3 data: 4 %, dan  (6) citraan gerak berjumlah 7 data: 12%. Untuk citraan yang paling dominan digunakan dalam kumpulan puisi Kang Komar karya Bpk. Edy Sukardi adalah citraan penglihatan yang berjumlah 30 data: 49 %. Hasil penelitian ini diimplikasikan pada pembelajaran puisi di SD kelas VI.

Kata kunci : Puisi, diksi, citraan, implikasi pembelajaran
TINGKAT PEMAHAMAN DAN INSTRUMEN HOTS BUATAN GURU IPA DI SMP TANGERANG SELATAN TAHUN PELAJARAN 2019 – 2020
Authors: Yessi  , Driana Elin , Ernawati
Published: June 2023

Penelitian ini bertujuan untuk mendapatkan informasi secara mendalam tentang pemahaman guru terhadap penilaian berbasis HOTS (Higher Order Thinking Skill) dan bagaimana instrument HOTS (Higher Order Thinking Skill) yang dibuat oleh guru IPA di Tangerang Selatan. Metode yang digunakan yaitu metode kualitatif  dengan mendapatkan data secara langsung, Pengumpulan data yang digunakan yaitu observasi, wawancara dan dokumentasi. Wawancara dilakukan untuk medapatkan informasi tentang pemahaman guru IPA dalam penilaian HOTS, penerapannya di ruang kelas, dan instrumen penilaian HOTS yang dibuat guru. Informan berjumlah 12 orang yang terdiri atas 5 guru SMP Negeri dan 7 guru SMP Swasta.

Hasil penelitian ini menjelaskan bahwa 50% guru sudah memahami konsep pembelajaran HOTS (Higher Order Thinking Skill). Sebanyak 92% guru juga sudah menerapkan penilaian berbasis HOTS (Higher- Order Thinking Skill) pada pembelajaran. Hasil analisis instrumen menunjukan bahwa hanya 1% soal mengandung unsur HOTS (Higher Order Thinking Skill) yaitu unsur menganalisis atau C4 dan 99% soal mengandung unsur LOTS (Lower- Order Thinking Skill). Hasil analisis ini menunjukan bahwa kemampuan guru IPA dalam mengembangkan soal masih banyak unsur LOTS. Kendala yang dihadapi guru dalam menerapkan penilaian berbasis HOTS adalah guru masih minim pengetahuan tentang mengembangkan soal HOTS sehingga siswa belum terbiasa dengan soal-soal HOTS, jumlah siswa terlalu banyak di dalam kelas menyebabkan pembelajaran tidak kondusif, kurangnya minat belajar dan membaca siswa. Kendala lain yang dihadapi pada saat penerapan penilaian berbasis HOTS (Higher Order Thinking Skill)  yaitu kurangnya durasi waktu pembelajaran, daya tangkap peserta didik yang tidak merata, sarana dan prasarana kurang memadai.
EVALUASI PROGRAM LABORATORIUM DALAM PEMBELAJARAN IPA DI MADRASAH TSANAWIYAH NEGERI 15 JAKARTA UTARA
Authors: Andris Vrio , Driana Elin , Yuliawati Sri
Published: June 2023

Laboratorium memiliki peranan penting dalam pembelajaran ilmu pengetahuan alam  karena dapat memberi kesempatan pada siswa melakukan aktivitas-aktivitas praktikum untuk memahami dan menerapkan konsep-konsep yang dipelajari. Aktivitas-aktivitas yang dilakukan di laboratorium dapat mendorong siswa berpikir secara kreatif dalam menyelesaikan masalah-masalah terkait sains.  Evalusi ini bertujuan untuk menilai program laboratorium IPA Madrasah Tsanawiyah Negeri 15 di Jakarta Utara. Metode evaluasi menggunakan model CIPP. Data dikumpulkan melalui wawancara dengan menggunakan panduan wawancara dan observasi menggunakan checklist, kemudian dianalisis dengan melakukan penskoran. Skor yang diperoleh kemudian  diubah ke dalam bentuk persentase dan dikelompokkan ke dalam kategori sangat baik, baik, cukup, kurang dan sangat kurang. Berdasarkan hasil evaluasi dapat disimpulkan bahwa: 1) aspek konteks yang terdiri dari komponen organisasi dan administrasi laboratorium, lokasi dan ruang laboratorium menunjukkan persentase rata-rata  79,41% sehingga termasuk dalam kategori baik;  2) aspek input yang menunjukkan rata-rata persentase 84,18% termasuk dalam kategori sangat baik, antara lain karena peralatan laboratorium yang cukup lengkap dan diklasifikasikan berdasarkan perlengkapan fisika, kimia, dan biologi, 3) aspek proses menunjukkan persentase 64,29% termasuk dalam kategori baik. Penyediaan alat dan bahan pada saat praktikum harus diperbaiki dengan dibantu oleh laboran  yang pada saat ini  belum dimiliki oleh madrasah, 4) Aspek produk menunjukkan persentase 79,17% sehingga termasuk dalam kategori baik.
PENGARUH METODE PEMBELAJARAN TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VIISMP NEGERI 3 RANGKASBITUNG DITINJAU DARI KEMAMPUAN AWAL SISWA
Authors: Salam Salam , Ernawati  , Abdul Rahman A.
Published: June 2023

Penelitian ini bertujuan untuk mengetahui pengaruh metode pembelajaran terhadap hasil belajar Matematika siswa kelas VII SMP Negeri 3 Rangkasbitung ditinjau dari kemampuan awal siswa. Populasi target dalam penelitian ini adalah semua siswa SMP Negeri 3 Rangkasbitung Kabupaten Lebak sebanyak 757 siswa dan sampel penelitian sebanyak 80 siswa. Metode penelitian yang digunakan adalah eksperimen rancangan faktorial 2 x 2. Kesimpulan penelitian ini adalah (1) Terdapat pengaruh positif penggunaan metode pembelajaran Contextual Teaching and Learning terhadap hasil belajar Matematika siswa SMP Negeri 3 Rangkasbitung, (2) Terdapat pengaruh positif kemampuan awal siswa terhadap hasil belajar Matematika siswa SMP Negeri 3 Rangkasbitung, (3) Terdapat interaksi antara penggunaan metode pembelajaran Contextual Teaching and Learning dan kemampuan awal siswa terhadap hasil belajar Matematika siswa SMP Negeri 3 Rangkasbitung.

 

This study aims to determine the effect of learning methods on the results of learning Mathematics for class VII students of SMP Negeri 3 Rangkasbitung in terms of students' initial abilities. The target population in this study were all students of SMP Negeri 3 Rangkasbitung, Lebak Regency, totaling 757 students and the research sample was 80 students. The research method used was a 2 x 2 factorial design experiment. The conclusions of this study were (1) There was a positive effect of the use of the Contextual Teaching and Learning method on the learning outcomes of Mathematics students at SMP Negeri 3 Rangkasbitung, (2) There was a positive influence on students' initial abilities on the results learning Mathematics for students of SMP Negeri 3 Rangkasbitung, (3) There is an interaction between the use of the Contextual Teaching and Learning method and students' initial abilities on the results of learning Mathematics for students of SMP Negeri 3 Rangkasbitung.
On the scientific scope of the “legal drafting” concept
Authors: Kozhokar Igor P.
Published: June 2023

The article attempts to define the content of “legal drafting”, as well as its place and role in the categorical apparatus of the theory of law. It investigates the main scientific approaches to the definition of the concept and classification of types of legal documents technology. The paper determines its axiological significance through a functional methodological approach, the impact on the effectiveness of legal regulation, as well as the place and role in the categorical apparatus of the theory of law. The findings of the research show that the terminological feature of the concept of “legal drafting” is described through a number of aspects. First of all, this term performs the function of a “framework concept” and is often subjected to erroneous idealization. At the same time, the term “legal drafting” has a polysemantic character and, therefore, enjoys a poly conceptual scientific maintenance; basically, it refers to the instrumental part of legal activity. The research concludes that the legal drafting technique occupies a special place in the categorical system, which is primarily due to the difference in approaches to its interpretation, and the large volume of its content.
The concept of “insurable interest” in civil law: Key issues of theory and practice
Authors: Battakhov Petr P. , Ovchinnikova Yulia S. , Moturenko Sergey M.
Published: June 2023

The article pays attention to the importance of insurable interest in the modern legal environment. The insurable interest is looked at in relation to the insurable risk; the meaning of the insured property losses is also explained. The article formulates the features for a single concept of insurance contract. In the focus are such features of insurable interest as legitimacy and private (subjective) nature. The author reveals the difference between the objective and subjective sides of the insurable interest and analyzes judicial practice. It is concluded that insurable interest of the subject consists in compensation for property losses, which are not in all cases related to the concept of “damage” and “harm” in civil law. Accordingly, the insurable interest exists insofar as there is a possibility of the occurrence of insured property losses; moreover, the insurable interest is of property nature, which allows us to formulate uniform features of a personal and property insurance contract.
The application of artificial intelligence in the civil proceedings of the People’s Republic of China: theoretical and legal analysis
Authors: Rusakova Ekaterina P.
Published: June 2023

The subject of the research of this article is the social relations arising in the process of integrating artificial intelligence technologies into the judicial proceedings of the People’s Republic of China (PRC). The article discusses the legal framework governing this process, as well as the theoretical and legal analysis of the phenomenon of artificial intelligence in the new legal reality. Special attention is paid to the value and essential characteristics of artificial intelligence in justice, its types and components from the standpoint of the methodology of law. Moreover, the objectives, principles, scope and system of the use of artificial intelligence in legal proceedings, as well as measures of state support for this process are analyzed. The research shows that the process of introducing artificial intelligence into legal proceedings is complex and requires serious legal understanding of these technologies in the context of justice administration. The author draws conclusions concerning effectiveness and pragmatism of the process of integrating artificial intelligence into the judicial system of the People’s Republic of China. However, a fully automated process of justice in the courts of the People’s Republic of China can lead to extremely negative consequences for the judicial system, which may cause distrust to the judicial method of protecting rights and reduce society’s commitment to basic socialist values and customs.
Review of the scientific and methodological seminar Synergetic Approach in State Understanding: Challenges and Development
Authors: Mongush Aelita M. , Nikitina Valentina S.
Published: June 2023

On December 15, 2022, the Department of Theory of Law and the State of the Law Institute of the RUDN University held a scientific and methodological seminar on the Synergistic Approach in State Understanding: Challenges and Development. A wide range of people were involved in the seminar: the faculty of the department, graduate students of the department and students of the Law Institute. The work of the seminar suggested personal and remote presence of the participants and observers.
Perencanaan Sistem Pembangkit Listrik Tenaga Surya Hybrid Pada Gedung F Fakultas Teknik Universitas Muhammdiyah Surakarta
Authors: Ramadhan Krisna , Purwoto Bambang Hari
Published: June 2023

Abstrak— Energi merupakan kebutuhan utama sepanjang peradaban umat manusia. Terpenuhinya sebagian besar kebutuhan energi saat ini, berasal dari bahan bakar fosil seperti halnya minyak bumi, gas alam dan batu bara, tetapi saat ini persediaan energi pun semakin berkurang. Kemungkinan jika hal ini tak segera diatasi, akan terjadi krisis energi kedepannya. Pertimbangan lingkungan menjadi faktor pengembangan sisem PLTS Hybrid memanfaatkan atap gedung F Universitas Muhammadiyah Surakarta sebagai laham PLTS tersebut. sistem PLTS hybrid ini gedung dapat disuplai oleh PLTS dengan batere dan PLN. Area seluas 1464 m2, dipasang panel surya sebesar 65,7 kWp dengan 1 modul pv 450 Wp sebanyak 146 buah, inverter 70 kW sebanyak 1 buah dan batere 22 kapasitas 12 V 250 Ah. Daya output yang dihasilkan perbulan sebesar 316,16 kWh setiap tahun sebesar 115.398,4 kWh. Kemiringan sudut 20° merupakan sudut yang baik untuk diterapkan pada panel surya, karena nilai rata-rata output daya tertinggi didapatkan pada sudut 20° dan rata- rata output daya terendah pada sudut 50°sehingga diketahui pada sudut 20° panel surya dapat menerima energi matahari dengan lebih maksimal sehingga outputnya lebih besar. PLTS ini membutuhkan biaya investasi awal sebesar Rp 842.512.120 dan biaya pemeliharaan beserta operasional sebesar Rp 8.425.121 dan terhitung ada Pay Back Period selama 2 tahun 6 bulan dari hasil data perhitungan ROI
Rancang Bangun Sistem Kontrol Untuk Pencampur Nutrisi Hidroponik Metode Pengairan DFT Berbasis Logika Fuzzy
Authors: Zakaria Fikri Dio , Priyandoko Gigih , Mukhsim Mohamad
Published: June 2023

Abstrak— Hidroponik menjadi salah satu alternatif bagi masyarakat yang ingin berkebun tetapi tidak memiliki lahan yang luas. Hidroponik dengan metode pengairan  Deep Flow Technique (DFT) adalah jenis bercocok  tanam dimana tanaman ditanam pada air yang dangkal, dan larutan nutrisi terus mengalir di sekitar akar tanaman. Kadar nutrisi yang diperlukan pada setiap jenis tanaman tentunya berbeda beda. Perlunya pemantauan tingkat kepekatan larutan nutrisi secara rutin akan menjadikan masalah bagi masyarakat yang hanya memiliki sedikit waktu luang maka dibuatlah sistem kontrol dengan menggunakan kontrol fuzzy, sistem kontrol yang dirancang pada penelitian ini memiliki kemampuan mengatur nilai atau kadar kepekatan larutan nutrisi teknik hidroponik sistem DFT secara berkelanjutan berdasarkan tingkat penyerapan nutrisi pada tanaman tersebut. Berdasarkan hasil pengujian  tingkat keberhasilan 96,875 % untuk nutrisi dan 96.375% untuk air dalam mencapai set point. Pada ketercapaian durasi output  memiliki nilai keberhasilan 98,4% untuk output nutrisi dan 98,5% untuk durasi output air dari perbandingan pemodelan di MatLab. Hasil pengujian pada tanaman packcoy, yang menggunakan sistem kontrol pertumbuhanya sedikit lebih baik dari pada packcoy tanpa sistem kontrol, dengan  tanaman tertinggi 16 cm dengan menggunakan sistem kontrol sedangkan packcoy tanpa sistem kontrol tertinggi 15 cm
A case of Auricular Atypical Fibroxanthoma with Extensive Bleeding
Authors: Abdalla Mohamed , Tinwell Brendan , Costa Isac
Published: June 2023

Introduction: Atypical fibroxanthoma is a low grade soft tissue
sarcoma infiltrating the dermis containing pleomorphic spindle cells.
Pleomorphic dermal sarcoma is a rare dermal tumour on the same
morphological spectrum as atypical fibroxanthoma, with greater potential
for malignancy. Distinguishing between the two tumours can have a
significant impact on management. Case: An 81-year-old gentleman
presents with a black haemorrhagic lesion demonstrating features of
atypical fibroxanthoma. The diagnostic pathway of this case is followed,
focusing on wide local excision and histopathological examination of the
offensive tissue, and highlighting decisions made during these stages.
Discussion: Common clinical features of atypical fibroxanthoma is
detailed, and potential for larger trials to focus on clinical features
in symptomatic individuals. The difficulty orientating auricular tissue
and methods to reduce potential loss of tissue is discussed. Finally,
this report delves into guidelines for wide local excision and what is
appropriate for atypical fibroxanthoma or pleomorphic dermal sarcomas.
Conclusion: Management of atypical fibroxanthoma can vary from
pleomorphic dermal sarcoma or more aggressive sarcomas. This report
emphasises the need for a streamlined diagnostic pathway to improve
treatment benefit for patients and reduce waiting times.
ecode: An R package to investigate community dynamics in ordinary differential equation systems
Authors: Wu Haoran
Published: June 2023

Population dynamical modelling plays a crucial role in understanding
ecological populations and making informed decisions for environmental
management. However, existing software packages for dynamical system
modelling often lack comprehensive integration of techniques and
guidelines, limiting their practical usability. This paper introduces
ecode, a novel package for modelling ecological populations and
communities using ordinary differential equation systems, designed with
a user-friendly framework. By following a three-cycle procedure, users
can easily construct ecological models and explore their behaviours
through a wide range of graphical, analytical, and numerical techniques.
The package incorporates advanced techniques such as grid search methods
and simulated annealing algorithms, enabling users to iteratively refine
their models and achieve accurate predictions. Notably, ecode minimises
external dependencies, ensuring robustness and reducing the risk of
package failure caused by updates in dependencies. Overall, ecode serves
as a valuable tool for ecological modelling, facilitating the
exploration of complex ecological systems and the generation of informed
predictions and management recommendations.
Identification of structural modal characteristics using output-error methods
Authors: Pourgholi Mehran
Published: June 2023

Based on the linearization of the structure’s vibration equation in the
state space, the stochastic subspace (SSI) approach is often used for
system identification in the time domain of structures. As a consequence
of using singular value decomposition (SVD) and QR factorization, the
non-linear optimization solution may be avoided, and the identification
issue can be solved as a linear least-squares problem. Although SSI does
not explicitly minimize a cost function to produce the system matrices,
the statistical analysis is significantly more involved for subspace
approaches. Alternatively, in system identification, one might choose an
output-error method (OEM), whereby the model parameters are repeatedly
tweaked to match the outputs of the simulated model and the observed
system. The purpose of this study is to modify the OEM to obtain
structural features in the following manner: First, to reduce the number
of optimization iterations, the initial term is derived using the SSI.
Second, the objective function’s nonlinearity is reduced by considering
the second-order derivatives as a linear system to optimize parameters
using the Gauss-Newton approach. Finally, perform a gradient project
minimization in state-space systems to prevent non-injectivity. After
applying OEM to the results of a model of a three-story structure
activated by seismic acceleration at SNR=1dB, the model’s damping ratio
and mode shapes became more precise.
Disentangling associations between impulsivity, compulsivity and performance monitoring
Authors: Overmeyer Rebecca , Endrass Tanja
Published: June 2023

Disorders marked by high levels of impulsivity and compulsivity have
been linked to changes in performance monitoring, specifically the
error-related negativity (ERN). We investigated the relationship between
performance monitoring and individual differences in impulsivity and
compulsivity. A total of 142 participants were recruited into four
groups, each with different combinations of impulsivity and
compulsivity, and they performed a flanker task to assess error-related
brain activity. We defined error-related brain activity as ERN amplitude
and theta power. Single trial regression was employed to analyze the
amplitude differences between incorrect and correct trials within the
ERN time window. The findings revealed that impulsivity, compulsivity
and different measures of response processing exhibited distinct
interactions, which were influenced by the configuration of impulsivity
and compulsivity, but also depending on the measure of response
processing. Specifically, high compulsivity predicted larger ERN
amplitudes in individuals with low impulsivity, whereas high impulsivity
had no effect on ERN amplitude in individuals with low compulsivity.
Furthermore, when both impulsivity and compulsivity were high, no
increase in ERN amplitude was observed; instead, there was a reduced
difference between incorrect and correct trials. No significant
differences were found for theta power. While the association between
error-related brain activity and transdiagnostic markers or
psychopathology may be smaller than generally assumed, considering the
interaction between different transdiagnostic markers and their facets
can enhance our understanding of the complex associations that arise
during the investigation of neural correlates of performance monitoring,
specifically the ERN.