bluuebunny/crossref_metadata_2025 huggingface dataset:
Acceptance of a Web-Based Intervention in Individuals Who Committed Sexual Offenses Against Children: Cross-Sectional Study
Authors: Schröder Sonja , Buntrock Claudia , Neumann Louisa , Müller Jürgen L , Fromberger Peter
Published: November 2023

Background

Individuals who have committed sexual offenses against children often have difficulties finding treatment, despite its potential effectiveness. Although the development of web-based interventions could enhance therapeutic supply, up to now the acceptance thereof among this target group is unknown.

Objective

For the first time, this study assesses the acceptance of a web-based intervention among individuals who committed sexual offenses against children and analyzes variables that predict acceptance. Following the Unified Theory of Acceptance and Use of Technology (UTAUT), it is assumed that acceptance of web-based interventions in individuals who have committed sexual offenses against children follows the same mechanisms as for individuals in general psychiatry.

Methods

This cross-sectional study is based on the data from an ongoing clinical trial (@myTabu) evaluating the effectiveness of a web-based intervention in individuals who committed sexual offenses against children (N=113). Acceptance level was measured using a questionnaire based on the UTAUT and modified for the target group. Furthermore, predictors of acceptance from the UTAUT (performance expectancy, effort expectancy, and social influence [SI]), attitudes toward web-based interventions, and internet anxiety were assessed at baseline.

Results

Most participants (61.1%, 69/113), reported high acceptance, while 36.3% (41/113) of them indicated moderate acceptance, and 2.7% (3/113) of them expressed low acceptance. In a linear regression model, the predictors explained 41.2% of the variance (F11,101=9.055; P=.01). Attitudes toward web-based interventions (B=0.398, 95% CI 0.16-0.64; P=.001) and SI (B=0.183, 95% CI 0.03-0.38; P=.04) significantly predicted acceptance. Post hoc explorative analysis showed that the participants’ belief that people close to them would recommend the use of a web-based intervention is a predictor of acceptance. In contrast, the belief that their community supervisor would recommend the use thereof was not predictive in this respect.

Conclusions

For the participants of this study, we identified high acceptance of web-based interventions for the majority of participants. SI and the participants’ attitudes toward web-based interventions were important in predicting acceptance.

Trial Registration

German Clinical Trial Registration (DRKS, Deutsches Register Klinischer Studien) DRKS 00021256; https://drks.de/search/de/trial/DRKS00021256
Toward an Interdisciplinary Approach to Constructing Care Delivery Pathways From Electronic Health Care Databases to Support Integrated Care in Chronic Conditions: Systematic Review of Quantification and Visualization Methods
Authors: Siqueira do Prado Luiza , Allemann Samuel , Viprey Marie , Schott Anne-Marie , Dediu Dan , Dima Alexandra Lelia
Published: November 2023

Background

Electronic health care databases are increasingly used for informing clinical decision-making. In long-term care, linking and accessing information on health care delivered by different providers could improve coordination and health outcomes. Several methods for quantifying and visualizing this information into data-driven care delivery pathways (CDPs) have been proposed. To be integrated effectively and sustainably into routine care, these methods need to meet a range of prerequisites covering 3 broad domains: clinical, technological, and behavioral. Although advances have been made, development to date lacks a comprehensive interdisciplinary approach. As the field expands, it would benefit from developing common standards of development and reporting that integrate clinical, technological, and behavioral aspects.

Objective

We aimed to describe the content and development of long-term CDP quantification and visualization methods and to propose recommendations for future work.

Methods

We conducted a systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations. We searched peer-reviewed publications in English and reported the CDP methods by using the following data in the included studies: long-term care data and extracted data on clinical information and aims, technological development and characteristics, and user behaviors. The data are summarized in tables and presented narratively.

Results

Of the 2921 records identified, 14 studies were included, of which 13 (93%) were descriptive reports and 1 (7%) was a validation study. Clinical aims focused primarily on treatment decision-making (n=6, 43%) and care coordination (n=7, 50%). Technological development followed a similar process from scope definition to tool validation, with various levels of detail in reporting. User behaviors (n=3, 21%) referred to accessing CDPs, planning care, adjusting treatment, or supporting adherence.

Conclusions

The use of electronic health care databases for quantifying and visualizing CDPs in long-term care is an emerging field. Detailed and standardized reporting of clinical and technological aspects is needed. Early consideration of how CDPs would be used, validated, and implemented in clinical practice would likely facilitate further development and adoption.

Trial Registration

PROSPERO CRD42019140494; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=140494

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2019-033573
An Exploration of the Goodness of Fit of Web-Based Tools for Māori: Qualitative Study Using Interviews and Focus Groups
Authors: Donkin Liesje , Bidois-Putt Marie-Claire , Wilson Holly , Hayward Penelope , Chan Amy Hai Yan
Published: November 2023

Background

Indigenous communities often have poorer health outcomes and services under traditional models of care. In New Zealand, this holds true for Māori people who are tāngata whenua (the indigenous people). Several barriers exist that decrease the likelihood of indigenous communities often have poorer health outcomes and poor service fit under traditional models of care, including access issues, systemic and provider racism, and a lack of culturally safe and responsive services. Web-based interventions (WBIs) have been shown to be effective in supporting mental health and well-being and can overcome some of these barriers. Despite the large number of WBIs developed, more investigation is needed to know how well WBIs fit with an indigenous worldview and how they meet the needs of indigenous communities so that a digitally based future does not drive social and health inequities.

Objective

This study aims to explore the goodness-of-fit of WBIs of Māori individuals, the indigenous people of Aotearoa/New Zealand.

Methods

We used interviews (n=3) and focus groups (n=5) with 30 Māori participants to explore their views about WBIs. Interviews were analyzed using reflexive thematic analysis by members of the research team.

Results

Overall, there was a perception that the design of WBIs did not align with the Māori worldview, which centers around people, relationships, spirituality, and holistic views of well-being. A total of 4 key themes and several subthemes emerged, indicating that WBIs were generally considered a poor fit for Māori. Specifically, the themes were as follows: (1) WBIs are disconnected from the core values of te ao Māori (the Māori worldview), (2) WBIs could be helpful in the right context, (3) there are significant barriers that may make it harder for Māori to use WBIs than other groups, and (4) ways to improve WBIs to help engagement with Māori.

Conclusions

While WBIs are often considered a way to reduce barriers to care, they may not meet the needs of Māori when used as a stand-alone intervention. If WBIs are continued to be offered, developers and researchers need to consider how to develop WBIs that are responsive and engaging to the needs of indigenous communities rather than driving inequities. Ideally, WBIs should be developed by the people they are intended for to fit with those populations’ world views.
College Students’ Employability, Cognition, and Demands for ChatGPT in the AI Era Among Chinese Nursing Students: Web-Based Survey
Authors: Luo Yuanyuan , Weng Huiting , Yang Li , Ding Ziwei , Wang Qin
Published: November 2023

Background

With the rapid development of artificial intelligence (AI) and the widespread use of ChatGPT, nursing students’ artificial intelligence quotient (AIQ), employability, cognition, and demand for ChatGPT are worthy of attention.

Objective

We aimed to investigate Chinese nursing students’ AIQ and employability status as well as their cognition and demand for the latest AI tool—ChatGPT. This study was conducted to guide future initiatives in nursing intelligence education and to improve the employability of nursing students.

Methods

We used a cross-sectional survey to understand nursing college students’ AIQ, employability, cognition, and demand for ChatGPT. Using correlation analysis and multiple hierarchical regression analysis, we explored the relevant factors in the employability of nursing college students.

Results

In this study, out of 1788 students, 1453 (81.30%) had not used ChatGPT, and 1170 (65.40%) had never heard of ChatGPT before this survey. College students’ employability scores were positively correlated with AIQ, self-regulation ability, and their home location and negatively correlated with school level. Additionally, men scored higher on college students’ employability compared to women. Furthermore, 76.5% of the variance was explained by the multiple hierarchical regression model for predicting college students’ employability scores.

Conclusions

Chinese nursing students have limited familiarity and experience with ChatGPT, while their AIQ remains intermediate. Thus, educators should pay more attention to cultivating nursing students’ AIQ and self-regulation ability to enhance their employability. Employability, especially for female students, those from rural backgrounds, and students in key colleges, deserves more attention in future educational efforts.
Accelerating Evidence Synthesis in Observational Studies: A Living NLP-Assisted Intelligent Systematic Literature Review System (Preprint)
Authors: Du Jingcheng
Published: November 2023

BACKGROUND

Systematic literature review (SLR), a robust method to identify and summarize evidence from published sources, is considered as a complex, time-consuming, labor-intensive and expensive task.

OBJECTIVE

To present a solution based on Natural Language Processing (NLP) that accelerates and streamlines the SLR process for observational studies using real world data.

METHODS

We followed an agile software development and iterative software engineering methodology to build a customized intelligent end-to-end living NLP-assisted solution for observational SLR tasks. Multiple machine learning-based NLP algorithms were adopted to automate article screening and data element extraction processes. The NLP prediction results can be further reviewed and verified by domain experts, following the human-in-the-loop design. The system integrates Explainable AI (XAI) to provide evidence to NLP algorithms and add transparency to extracted literature data elements. The system was developed based on three existing SLR projects of observational studies, including the epidemiology studies of human papillomavirus-associated diseases, the disease burden of pneumococcal diseases, and cost-effectiveness studies of pneumococcal vaccines.

RESULTS

Our Intelligent SLR Platform, covers major SLR steps, including study protocol setting, literature retrieval, abstract screening, full-text screening, data element extraction from full-text articles, results summary, and data visualization. The NLP algorithms have achieved 0.86 to 0.90 accuracy scores on article screening tasks (framed as text classification tasks) and 0.57 to 0.89 macro-average F1 scores on data element extraction tasks (framed as named entity recognition tasks).

CONCLUSIONS

Cutting-edge NLP algorithms expedite SLR for observational studies, thus allowing scientists to have more time to focus on the quality of data and the synthesis of evidence in observational studies. Aligning the living systematic literature review concept, the system has the potential to update literature data and enable scientists to easily stay current with the literature related to observational studies prospectively and continuously.
What types of HPV vaccine misinformation circulating on Twitter do parents find most concerning? Insights from a cross-sectional survey and content analysis (Preprint)
Authors: Morgan Jennifer C. , Badlis Sarah , Head Katharine J. , Zimet Gregory , Cappella Joseph N. , Kornides Melanie L.
Published: November 2023

BACKGROUND

Parents frequently use social media as a source of information about the HPV vaccine. Our previous work identified that, on Twitter, almost 25% of Tweets about HPV vaccine contain misinformation and these Tweets receive higher audience engagement than accurate Tweets. Exposure to misinformation can increase vaccine hesitancy, but the types of misinformation found on social media varies widely and not all misinformation exposure influences vaccine attitudes and vaccine uptake. Despite the prevalence of misinformation and anti-vaccine information on social media, little work has assessed parents' assessments of these posts.

OBJECTIVE

This study examines which types of misinformation on Twitter parents find the most concerning.

METHODS

In April 2022, we surveyed 263 U.S. parents of children ages 7 to 10 years. They viewed 9 randomly selected Tweets from a pool of 126 Tweets circulating on Twitter which contained misinformation about HPV vaccine. Then parents selected up to three that they found most concerning. The process was repeated once more with nine selected from the pool of 117 messages not shown in the first round. Two researchers independently coded these misinformation Tweets to identify rhetorical strategies used and health concerns mentioned. Multiple linear regression tested whether Tweet content significantly predicted the selection of Tweets as most concerning.

RESULTS

Parental concern about the different misinformation Tweets varied widely with some misinformation being selected as most concerning just 2.8% of the time it was viewed, and other misinformation being selected 79.5% of the time it was viewed. Multiple linear regression analysis found that misinformation Tweets using negative emotional appeals (β=13.27), expressing pharmaceutical company skepticism (β=8.61), and mentioning hospitalization (β=24.36), paralysis (β=12.98), and HPV infection (β=30.52) significantly increased the percent of parents rating the misinformation Tweets as most concerning (all P<.05).

CONCLUSIONS

Misinformation about HPV vaccination is ubiquitous on social media, and it would be impossible to target and correct all of it. Counter-messaging campaigns and interventions to combat misinformation need to focus on the types of misinformation that concern parents and ultimately may impact vaccine uptake. Results from this study identify the misinformation content that parents find most concerning and provide a useful list of targets for researchers developing interventions to combat misinformation with the goal of increasing HPV vaccine uptake.
Studi Life History Buruh Migran Perempuan dalam Sektor Informal di Kabupaten Wonosobo
Authors: Khafifi An'ngam
Published: November 2023

Tulisan ini membahas proses menjadi buruh migran perempuan di Kabupaten Wonosobo, terutama di sektor informal. Latar belakang dari penelitian ini adalah menjadi buruh migran masih besar peminatnya di tengah kerentanan-kerentanan yang harus dihadapinya. Berdasarkan catatan BNP2TKI di 2019 persentase perempuan yang bekerja di sektor informal adalah 60 hingga 80 persen. Meskipun telah banyak artikel yang membahas alasan menjadi buruh migran, namun masih sedikit yang membahas tentang konstruksi dan relasinya dengan struktur sosial yang melingkupi dinamika tersebut dari level keluarga, komunitas lokal, hingga transnasional. Penelitian ini menggunakan metode kualitatif life history dengan melakukan wawancara mendalam kepada lima mantan buruh migran perempuan dan dilengkapi dengan pendekatan intersectionality life course dari Ferrer et al. (2017). Hasil penelitian ini menunjukan, menjadi buruh migran dalam skala makro merupakan bagian dari proses ekonomi-politik global. Di dalam skala mikro, dalam hal ini lingkungan komunitas informan, menjadi buruh migran dianggap pilihan dan keterpaksaan karena dengan latar belakang kelas dan gender yang dimiliki menjadi buruh migran dirasa mampu menjawab tuntutan atas kebutuhan keluarga dan kebutuhan sosial yang terus meningkat, hingga mampu mengangkat status sosial yang ditandai dengan kepemilikan lahan yang luas dan dapat memenuhi kebutuhan tersier. Untuk dapat mencapai tujuan, keagensian dalam diri informan menjadi penting. Hal ini dapat dilihat dari bagaimana informan bernegosiasi untuk re-migrasi dan upaya resistensi melalui kesadaran untuk terlibat aktif dalam pengelolaan uang remiten.
Dilemma of Identity in Githa Hariharan’s Thousand Faces of Night: A Feminist Perspective
Authors: Kalita Manoj Kumar , Deka Dr. Bhubaneswar
Published: November 2023

In Thousand Faces of Night Githa Hariharan deals with the struggle of three women (Devi, Sita and Mayamma) of three consecutive generations for their survival, freedom and individuality. The novelist has projected the struggle of women in a male dominated society in order to preserving her identity. These three characters faced humiliations and led unfulfilled life in their early stage of their married life but by the end of the novel all the three tried to see themselves and gave a space for their self. They celebrated themselves as free individuals after they are relieved from their marriage knot. Each individual has responded in her own way to provide space for her ‘self’. They walked on the tightrope and struggled for balancing their relations and also for some means of survival they could fashion for themselves.
Riesz I-convergent sequence spaces
Authors: Khan Vakeel A. , Rahman Zahid
Published: November 2023

In this article we have introduced some new sequence spaces as a domain of triangular Riesz matrix, and study some of their algebraic and topological properties. Further, our work will devote to argue some inclosions regarding those fore-said sequence spaces.
A note on general sum-connectivity index
Authors: Phanjoubam Chinglensana , Mawiong Sainkupar
Published: November 2023

For a simple finite graph G, general sum-connectivity index is defined for any real number α as χα(G) = , which generalises both the first Zagreb index and the ordinary sum-connectivity index. In this paper, we present some new bounds for the general sum-connectivity index. We also present relation between general sum-connectivity index and general Randić index.
On edge irregularity strength of different families of graphs
Authors: Imran Muhammad
Published: November 2023

Edge irregular mapping or vertex mapping h : V (G) −→ {1, 2, 3, ..., s} is a mapping of vertices in such a way that all edges have distinct weights. We evaluate weight of any edge by using equation wth(cd) =h(c)+h(d), ∀c, d ∈ V (G) and ∀cd ∈ E(G). Edge irregularity strength denoted by es(G) is a minimum positive integer used to label vertices to form edge irregular labeling. In this paper, we find exact value of edge irregularity strength of linear phenylene graph P Hn, Bn graph and different families of snake graph.
The automorphism groups of some token graphs
Authors: Ibarra Sofía , Rivera Luis Manuel
Published: November 2023

The token graphs of graphs have been studied at least from the 80’s with different names and by different authors. The Johnson graph J(n, k) is isomorphic to the k-token graph of the complete graph Kn. To our knowledge, the unique results about the automorphism groups of token graphs are for the case of the Johnson graphs. In this paper we begin the study of the automorphism groups of token graphs of another graphs. In particular we obtain the automorphism group of the k-token graph of the path graph Pn, for n 6≠ 2k. Also, we obtain the automorphism group of the 2-token graph of the following graphs: cycle, star, fan and wheel graphs.
Desvelando misterios: un viaje por la depresión y las posibles soluciones
Authors: Mondragón García Andrea , Hernández Vázquez Fabiola , Francia Ramírez Carmen Daniela , Garduño Julieta , Hernández López Salvador
Published: November 2023

La depresión es uno de los trastornos mentales más comunes de nuestra época, se espera que en el 2030 sea la segunda causa de discapacidad a nivel mundial. Las principales emociones de la depresión son la tristeza y la desesperanza, asimismo, también se pueden presentar malestares físicos, como fatiga y pérdida de apetito. Una de las causas de la depresión es la disminución de los niveles de serotonina en el cerebro. Por ello, el principal tratamiento se basa en el empleo de medicamentos que inhiben selectivamente la recaptura de serotonina (ssri). Sin embargo, el 30% de las personas con depresión presentan resistencia al tratamiento, viviendo incapacitadas por los síntomas. Dicha problemática es la que nos ha conducido a investigar un nuevo blanco terapéutico que brinde una mejor calidad de vida a las personas que viven con depresión. Un ejemplo es la mecamilamina, la cual se ha observado, tiene efectos antidepresivos en modelos animales de estrés crónico impredecible, esto debido a que aumenta la actividad de las células serotoninérgicas del núcleo dorsal del rafe (drn). Los datos obtenidos de nuestra investigación abren la posibilidad de un nuevo tratamiento para pacientes que sufren de depresión mayor.
Pet transportation or tourism: risk of moving zoonotic pathogens
Authors: Acevedo-Ramírez Perla María del Carmen , Campos-Juárez Claudia , Elizalde-Monroy David Jesús , Torres-Gutiérrez Elia , Mendoza-Garfias María Berenit
Published: November 2023

Pet transportation has become relevant. However, since adequate sanitary measures are not taken, pets can be carriers of pathogens, such as ticks which at the same time may turn into zoonotic agent vectors. Ticks are frequent ectoparasites in warm areas. However, they may be dispersed in temperate regions such as Mexico City (CDMX) and become responsible for other vector-borne diseases relevant to Veterinary Medicine and/or public health. It shows that moving animals from one place to another, including tourism with pets, can cause dispersion and proliferation of pathogens if the adequate sanitary measures are not taken. Therefore, this article is of great importance from a biological, ecological, public and veterinary health, since it shows the role of humans in the spread of pathogens particularly of Rhipicephalus sanguineus, its introduction to a site otherwise naturally free of them, and the adaptation mechanisms they may display to infect other hosts with the potential to transmit other emerging pathogens.
Copy-Move Forgery Detection in Medical Images Using Handcrafted Features
Authors: Patel Mili
Published: November 2023

Abstract: In the realm of medical imaging, the authenticity and integrity of images are paramount for accurate diagnosis and treatment planning. Copy-move forgery, a prevalent form of image tampering, poses a significant threat to the reliability of medical images. This research project focuses on the development and implementation of a robust copy-move forgery detection system tailored specifically for medical images. The proposed methodology leverages handcrafted features, extracting distinctive characteristics from the images to detect instances of forgery. Through a meticulous process of feature engineering and selection, the algorithm aims to enhance sensitivity and specificity in identifying manipulated regions within medical images. The study explores the application of advanced image processing techniques and pattern recognition algorithms to achieve a high level of accuracy in forgery detection.
Knowledge and Awareness About the Emerging Trends in Oral Radiology Among Dental Students
Authors: J Manju.
Published: November 2023

Abstract: Background: Oral radiology plays a crucial role in dental practice, with emerging trends such as 3D imaging, artificial intelligence (AI) integration, and tele-dentistry reshaping the field. This study aimed to assess the knowledge and awareness of these trends among dental students. Methods: A cross-sectional survey was conducted among 104 dental students in Chennai, using a structured questionnaire. The participants included undergraduate and postgraduate students. Data were collected through online platforms and analysed using PSPP 3.0 software
ShopWisely - The Ultimate Price Comparer
Authors: Gandhare Dnyanesh
Published: November 2023

Abstract: Customers are faced with an abundance of options in the quickly changing world of online shopping and food delivery, which makes it difficult and time-consuming to find the best offers and affordable solutions. ShopWisely has come to light as a trailblazing answer to this problem, providing consumers with a thorough platform for comparing costs from top e-commerce sites like Amazon and Flipkart as well as popular meal delivery services like Zomato and Swiggy. ShopWisely is an online project that makes it easy for people to make educated purchases. It accomplishes this by compiling real-time pricing information from several sources, giving consumers a comprehensive picture of their choices. With an attractive and userfriendly design, the platform's main objective is to expedite the online shopping and meal ordering process, eventually
Importance of Data Security and Privacy Compliance
Authors: Pant Abhishek
Published: November 2023

Abstract: In an era characterized by an unprecedented proliferation of digital information, the safeguarding of sensitive data has emerged as a paramount concern for individuals, businesses, and governments alike. This abstract delves into the critical importance of data security and privacy compliance in contemporary society. As technological advancements continue to redefine the landscape of data generation, collection, and utilization, the potential risks and vulnerabilities associated with unauthorized access and misuse of information have escalated. This paper highlights the multifaceted significance of data security and privacy compliance across various domains. Firstly, it explores the imperative of protecting personal information to uphold individual privacy rights and maintain public trust. The escalating frequency and sophistication of cyber threats underscore the necessity for robust data security measures to thwart unauthorized access, data breaches, and identity theft.
Hispanoamericanos profesionales en China: influencia del poder blando chino en la motivación migratoria
Authors: Piffaut Gálvez Marcelo Alejandro
Published: November 2023

Inmigrantes profesionales hispanoamericanos sin vínculos culturales o ascendencia china han elegido este país como destino migratorio, una temática aún no estudiada. El objetivo es comprender sus motivaciones, y para ello 19 hombres y 6 mujeres participaron en entrevistas en profundidad y encuestas. Se observa que, especialmente en la generación Y, la elección del destino va más allá de factores económicos, influenciada por el poder blando chino a través de medios y educación. Estos medios sirven como puentes interculturales; a nivel meso-social, previos a la migración, conectando aspectos macroestructurales con decisiones individuales. Además, se evidencia que el influjo de estos medios es menos relevante en la generación anterior, subrayando la importancia del cambio generacional. Sostenemos que el consumo personalizado de productos culturales individualiza las motivaciones y respalda las decisiones.
KUALITAS FISIKOKIMIA DAN SENSORI PASTA GIGI Anadara granosa YANG DITAMBAHKAN Citrus medica
Authors: Solang Margaretha , Tomayahu Tian , Abdul Aryati
Published: November 2023

Penelitian bertujuan untuk mengetahui pengaruh volume perasan buah Citrus medica dan ukuran partikel tepung cangkang Anadara granosa terhadap nilai viskositas, daya sebar, pH dan organoleptik pasta gigi. Penelitian dilaksanakan di Laboratorium Jurusan Biologi, FMIPA. Penelitian ini menggunakan metode rancangan acak lengkap (RAL) terdiri dari dua faktor yaitu faktor volume perasan buah Citrus medica (0 mL, 2 mL, 4 mL dan 6 mL) dan faktor ukuran partikel tepung cangkang Anadara granosa (140 mesh dan 200 mesh). Analisis data menggunakan Analisis Varians Two Ways dan uji Duncan Multiple Range Test (DMRT) pada taraf 5%. Hasil penelitian menunjukkan bahwa volume perasan buah Citrus medica 0 mL, 2 mL, 4 mL dan 6 mL dan ukuran partikel tepung cangkang Anadara granosa 140 mesh dan 200 mesh berpengaruh terhadap nilai viskostas, daya sebar, pH dan organoleptik warna, aroma, tekstur serta rasa pasta gigi. Semua kombinasi perlakuan pada penelitian ini memiliki interaksi yang signifikan (<0,05) terhadap nilai viskositas, pH dan organoleptik warna, tekstur serta rasa pasta gigi, namun tidak memiliki interaksi yang signifikan terhadap nilai daya sebar dan nilai organoleptik aroma pasta gigi. Perlakuan ukuran partikel tepung 140 mesh dengan penambahan volume perasan 6 mL memiliki kualitas fisikokimia pasta gigi sesuai syarat mutu SNI.

Kata Kunci: Pasta Gigi, Citrus medica, Cangkang, Anadara granosa
IDENTIFIKASI JENIS MAKROALGA COKELAT (PHAEOPHYTA) DI PERAIRAN PANTAI BLUE MERLIN, TELUK TOMINI, GORONTALO
Authors: Sridamayani Ni Wayan , Nane La
Published: November 2023

Macroalgae have an important role in the coastal environment and human beings. Unfortunately, the research on species identification of macroalgae is very poor. On the other hand, data collection of macroalgae is essential to be used for effectiveness in conservation efforts for coastal ecosystem resources. Thereby, the identification of macroalgae is needed, particularly for brown algae as the database that can be used in the management of coastal resources in Tomini Bay. This research was conducted for 45 days, from November 15 to December 29, 2020, in the Blue Marlin Beach, Tomini Bay, Gorontalo City. GPS coordinate, sea current, seawater temperature, and waves were measured with Fishing Points Software. Sample collection was performed by a search method. Each specimen that was found was kept in a plastic zipper bag and stored in a coolbox containing an ice-cube to maintain the fresh sample. After collection, the specimens were carried out to the laboratory for identification and measurement as soon as possible. The results show three brown algae species in the Blue marlin Beach, i.e., Padina australis, Turbenaria decurrens, and Sargassum polycystum. The average of seawater temperature, sea current, and waves during the study is 31 C, 0.1 m/s, and 0,2 m, respectively.
PERKECAMBAHAN EKSPLAN BIJI KURMA (Phoenix dactylifera L.) CV. KHALAS TERHADAP PENAMBAHAN GIBERELIN (GA3) DAN benzyl amino purine (BAP) SECARA IN VITRO
Authors: Refolla Wulan , Novaliza Isda Mayta
Published: November 2023

Kurma (Phoenix dactylifera L.) merupakan tanaman tahunan yang hidup di wilayah iklim tropis seperti di Negara Timur Tengah dan Afrika Utara. Perluasan budidaya tanaman kurma secara tradisional masih dibatasi oleh kemampuan tanaman untuk menghasilkan bibit baru dalam jumlah banyak, seragam, dan dalam waktu singkat. Perbanyakan pada kurma dapat diproduksi cepat dengan inisiasi biji secara in vitro. Penelitian ini bertujuan untuk mengetahui pengaruh dan menentukan konsentrasi terbaik GA3 tunggal dan kombinasi GA3+BAP terhadap perkecambahan dari eksplan biji (Phoenix dactilyfera L.) secara in vitro. Penelitian ini dilaksanakan di Laboratorium Terpadu, Jurusan Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau dari bulan Mei–September 2020 dengan menggunakan Rancangan Acak Lengkap (RAL) yang terdiri atas 10 (sepuluh) perlakuan yaitu kontrol, GA3 tunggal (2,5; 5; 7,5 mg/l) dan dikombinasikan dengan BAP (1 mg/l dan 2 mg/l). Hasil penelitian menunjukkan pemberian GA3 tunggal dan dengan BAP berpengaruh nyata terhadap waktu muncul akar dan panjang akar dari eksplan biji kurma (Phoenix dactilifera L.). Pada perlakuan 2,5 mg/l GA3 adalah konsentrasi terbaik untuk waktu muncul akar tercepat yaitu 5,50 HST. Panjang akar terbaik di antara semua perlakuan pada perlakuan 5 mg/l sebesar 6,36 cm.
Pengetahuan Lokal Suku Anak Dalam Mengenai Pemanfaatan Tumbuhan yang Berkhasiat Obat di Kawasan Nasional Bukit Dua Belas Sarolangun
Authors: Susanti Try , Suraida Suraida , Natalia Desfaur , Ningsih Tri
Published: November 2023

Orang Rimba (Suku Anak Dalam) has an excellent knowledge of medicine. They are able to distinguish between poisonous plants including processing them. The purpose of this research is to find out the Species of medicinal plants, part of the plants used and how to process the plants by the Anak Dalam Tribe. This research is a qualitative descriptive research. Data is taken through semi-structured interviews, participatory observations and documentation. From the results of research obtained 48 Species of medicinal plants. Of the 48 Species, 12 Species are utilized for fever medicine, 11 Species for skin medicine, 8 Species for stomach pain / digestive problems, 8 Species for birthing drugs, 1 Species of toothache medicine, 1 Species of canker sores, 1 Species of appetite enhancer drugs, 2 Species of cough medicine, 1 Species of flu medicine and 1 Species of malaria medicine. Parts of plants that are often used for medicine are leaves. Processing the plant into an average medicine by boiling and drinking boiled water plants.
Keywords: Suku Anak Dalam, Local knowledge, medical plants
 
Abstrak
Orang Rimba (Suku Anak Dalam) memiliki pengetahuan obat-obatan yang sangat baik. Mereka mampu membedakan tumbuhan beracun termasuk mengolahnya. Tujuan penelitian ini yaitu untuk mengetahui jenis tumbuhan obat, bagian dari tumbuhan yang dimanfaatkan dan cara pengolahanny tumbuhan tersebut oleh Suku Anak Dalam. Penelitian ini merupakan penelitian deskriptif kualitatif. Data diambil melalui wawancara semi terstruktur, observasi partisipatif dan dokumentasi. Dari hasil peneitian didapatkan 48 jenis tanaman obat. Dari 48 jenis tersebut,12 jenis dimanfaatkan untuk obat demam, 11 jenis untuk obat kulit, 8 jenis untuk obat sakit perut/masalah pencernaan, 8 jenis untuk obat proses melahirkan, 1 jenis obat sakit gigi, 1 jenis obat sariawan, 1 jenis obat penambah nafsu makan, 2 jenis obat batuk, 1 jenis obat flu dan 1 jenis obat malaria. Bagian tanaman yang sering dimanfaatkan untuk obat yaitu daun. Pengolahan tanaman tersebut menjadi obat rata-rata dengan cara direbus dan diminum air rebusan tanaman tersebut.
Kata Kunci: Suku Anak Dalam, Pengetahuan lokal, Tumbuhan obat
ANALISIS EFISIENSI PEMASARAN CABAI MERAH KERITING DENGAN PENDEKATAN SCP (Structure, Conduct, and Performance) DI KECAMATAN GUNUNG TUJUH KABUPATEN KERINCI
Authors: Mar’atil Khasanah Zummrhotul , Murdy Saad , Fitri Yanuar
Published: November 2023

Penelitian ini bertujuan untuk (1) mengetahui saluran pemasaran cabai merah keriting di Kecamatan Gunung Tujuh Kabupaten Kerinci, dan (2) menganalisis efisiensi pemasaran cabai merah keriting dilihat dari market sructure, market conduct, and market performance (SCP) di Kecamatan Gunung Tujuh Kabupaten Kerinci. Penelitian ini di laksanakan di Kecamatan Gunung Tujuh Kabupaten Kerinci dari 24 Juni sampai 24 Juli 2019. Data dianalisis secara deskriptif kualitatif dan deskriptif kuantitatif dengan pendeketan SCP (structure, conduct, and performance). Hasil penelitian menunjukkan bahwa pemasaran cabai merah keriting di Kecamatan Gunung Tujuh Kabupaten Kerinci terdiri dari empat saluran pemasaran, yaitu: (1) petani–pedagang pengumpul lokal–pedagang wholesaler Sungai Penuh–pedagang pengecer–konsumen akhir Pasar Tanjung Bajure Sungai Penuh; (2) petani–pedagang pengumpul lokal–pedagang antar kota; (3) petani–pedagang pengumpul lokal–pedagang pengecer–konsumen akhir; (4) petani–pedagang pengecer–konsumen akhir Pasar Tanjung Bajure Sungai Penuh. Fungsi-fungsi pemasaran yang dilakukan oleh lembaga-lembaga pemasaran, yaitu fungsi pertukaran, fungsi fisik dan fungsi fasilitas. Struktur pasar pada pemasaran cabai merah keriting di Kecamatan Gunung Tujuh pada tingkat petani merupakan struktur pasar oligopsoni, sedangkan di tingkat lembaga struktur pasar yang terbentuk merupakan stuktur pasar oligopoli. Pada perilaku pasar, lembaga pemasaran yang terlibat memiliki perilaku yang berbeda-beda. Kinerja pasar menunjukkan penyebaran marjin, farmers share, dan rasio keuntungan dan biaya tidak merata pada masing-masing lembaga pemasaran. Berdasarkan hasil analisis yang telah dilakukan, saluran pemasaran IV merupakan alternatif saluran pemasaran yang efisien sehingga dapat dipilih oleh petani.
PENGARUH FAKTOR SOSIAL TERHADAP KEPUTUSAN PEMBELIAN CABAI MERAH BESAR (Suatu Kasus di Pasar Ciborelang, Pasar Sindangkasih, dan Pasar Maja Selatan)
Authors: Marina Ida , Andayani Sri Ayu , Ramdhaniah Istiqomatur , Nurjaman Jajang
Published: November 2023

Penelitian ini dilakukan di dataran tinggi yaitu pasar Ciborelang, pasar Sindangkasih dan pasarMaja Selatan dengan tujuan untuk mengetahui pengaruh faktor sosial terhadap keputusan pembelian cabaimerah besar secara simultan dan parsial. Data primer dan data sekunder digunakan dalam penelitian ini.Metode analisis yang digunakan adalah analisis regresi linier berganda, koefisien determinasi, uji-f dan ujit.Dari penelitian ini ditemukan bahwa faktor sosial yang mempengaruhi keputusan konsumen untukmembeli cabai merah di dataran tinggi secara simultan, sedangkan faktor yang mempengaruhi pasar secaraparsial terdapat di pasar maja selatan jika dibandingkan dengan pasar Ciborelang dan Sindangkasih yaitufaktor sosial dengan Nilai Sig sebesar 0,048 terhadap keputusan pembelian cabai. merah besar.
PERGESERAN SISTEM SOSIAL EKONOMI MASYARAKAT DESA SEWULAN PADA MASA PANDEMI COVID-19
Authors: Sustiawan Asis , Pujiati Dwik , Prasetiyo Luhur
Published: November 2023

Pandemi covid-19 yang terjadi sejak bulan maret 2020 membuat pergeseran sosial ekonomi masyarakat. Tujuanpenelitian ini adalah mendeskripsikan dampak pandemi yang mengakibatkan perubahan ekonomi, sosial, danbudaya pada masyarakat Desa Sewulan. Penelitian menggunakan pendekatan kualitatif dan data primer melaluiwawancara langsung ke narasumber. Teknik pengambilan sampel dilakukan dengan Metode pengambilansampel dilakukan dengan purposive sampling yang dilakukan secara snowball. Hasil penelitian menunjukkanterjadi pergeseran sistem sosial ekonomi masyarakat Sewulan. (1) Dari segi ekonomi mengatasi pengurangananggaran pengeluaran konsumsi pada masyarakat di Desa Sewulan: (2) Dari segi sosial memberikankeuntungan salah satu dari keuntungan tersebut adalah sebagai suri tauladan bagi desa lainnya dan lingkungantersebut dijadikan sarana pendidikan dan pelatihan di bidang pertanian modern. Dan kesan yang terlihat padalingkungan Desa Sewulan bersih, sehat, agrobisnis di Desa tersebut tanpa ada pencemaran limbah yangmencemari lingkungan: (3) Dari segi budaya dengan adanya program penanaman tanaman Hidroponik dilingkungan Desa Sewulan menumbuhkan gotong royong, budaya mandiri, serta menjadikan pademi sebagaiberkah, yaitu menumbuhkan jiwa produktif bukan hanya konsumtif.
The identification of the key attributes of the performance enhancement of the logistics sectors: A bibliometric approach
Authors: Aljaman Mohammad Falah Samar , Saadon Mohd Saiful Izwaan , Othman Mohamad Rosni Bin , Aburasul Jehan Ahmad Kheiro , Issa Ahmad Heider Hussein , Ayyash Aysheh Hassan Abu
Published: November 2023

The primary goal is to determine the key attributes of the performance enhancement of the logistics sectors. Furthermore, a full content analysis of the 87 most influential publications is offered to identify important study qualities such as data characteristics, techniques, and major discoveries. An overview of current developments in the performance of logistics companies is presented in this paper. An approach known as bibliometric analysis is used to assess the current state and forecast future developments in the performance of logistics companies. We contributed to the development of a strong theoretical framework and a roadmap for future study.
10.1
Authors: Levin Eric Zimmermann
Published: November 2023

10.1 is a sound art installation and a sequence of daily performances over a lunar cycle resp. 30 days. It deals with questions about the relationship between art and life, the passing of time and its context in a wider discourse.

INSTALLATION SETUP

The installation view is located in a shop window in a small urban space. It consists of brown sheets of paper hanging from the ceiling of the space that are visible through the storefront windows. On the pages are printed the current lunar cycle, musical notations, text quotations, or quoted drawings. In the lower part of the display window are three instruments. Each of these instruments has three strings that are moved by electromagnets. The resulting sounds are picked up by guitar pickups and sent to tranducers attached to the shop windows so that passersby could hear the sounds through the vibrating window panes.

PERFORMANCE SEQUENCE

Every evening I went into the installation room to play a page of the score with my guitar. Each page lasted as long as the sunset lasted on that particular day in that particular place. My playing was not only accompanied by the magnetic string instruments, but initiated by them, as the instruments began to play as soon as the sun set, signaling me to join them. After the sun set, the instruments played a dedicated night light composition. These night light compositions were composed by me as a daily routine during this lunar cycle. They sounded throughout the night until dawn, when another composition would begin, signaling the transition to the silent daylight.
Potentially hazardous drug–drug interactions in cancer patients treated with tyrosine kinase inhibitors: A multicenter retrospective study
Authors: Wang Haitao , Zhang Kanghuai , Zheng Yao , Wang Yan , Wang Na , Li Youjia , Yang Qianting , Zhang Li , Zhao Yi , Xie Jiao , Han Shengli
Published: November 2023

Aims: Tyrosine kinase inhibitors (TKIs) improve patient
outcomes, but the prevalence of clinically significant TKI-associated
drug–drug interaction (DDI) is unknown. We aim to assess the risk
prevalence between TKIs and other drugs in cancer patients.
Methods: This was a retrospective cross-sectional study
conducted in three tertiary care hospitals. All medical data were
collected in the computer-based medication prescription system from
January 2020 to December 2020. The hazardous DDIs identification has
been performed using US Food and Drug Administration-approved labels.
Descriptive statistics and univariate and multivariate logistic
regression analyses were applied to identify risk factors associated
with potential hazardous interactions. Results: A total of 2754
patients were included in our study. 413 hazardous DDIs were identified
and 387 (14.1%) patients experienced at least one DDI. Proton pump
inhibitor, dexamethasone and fluoroquinolones were most frequently
implicated in clinically relevant DDIs with TKIs. In a multivariate
analysis, younger age, the number of drugs and lung cancer had a higher
risk for the occurrence of hazardous DDIs. Conclusions: The
prevalence of hazardous DDIs is relatively high in the cancer patient
population receiving TKIs treatment. The awareness of potential
clinically relevant DDIs can help patients reduce the probability of
adverse event of drugs.
Global Path Planning for Mobile Robots with optimization through Advanced Neuro-Genetic Algorithms: A Cutting-Edge Exploration
Authors: Nandi Pabitra Kumar , Dutta Ajoy Kumar
Published: November 2023

This work provides a new Neuro Genetic Algorithm (NGA) based
global path planning approach to a target for a mobile robot. A mobile
robot in a static environment is given a map with nodes and linkages,
and a Neuro Genetic Algorithm is used to determine the best path for it
to take. The objective locations and impediments to identify the best
path are provided in a two-dimensional office environment. Every binary
code-encoded gene in the network is represented by a via point, also
known as a landmark. The number of barriers on the map determines how
many genes are on a single chromosome. We therefore employed a
chromosome with a set length. In terms of the shortest distance, the
generated robot path is ideal. Assuming the robot passes each point
either once or not at all, it has a beginning position and a target
point. The simulation results validated the proposed algorithm’s
potential.
Strong tracking adaptive window Multi-innovation cubature Kalman filter algorithm for lithium-ion battery state of energy estimation
Authors: Lin Lin , Wang Shunli , Yang Xiao
Published: November 2023

Accurate estimation of lithium-ion battery state of energy (SOE) is an
important prerequisite for prolonging battery life and ensuring battery
safety. To achieve a high-precision estimation of SOE, this study
focuses on ternary lithium-ion batteries and proposes an SOE estimation
method that combines limited-memory recursive least squares (LM-RLS)
with strong tracking adaptive window Multi-innovation cubature Kalman
filtering (STF-MCKF). A finite set of data is used for model parameter
updates at the current time to solve the problem of data saturation and
improve the identification accuracy of the RLS algorithm. By utilizing
the STF algorithm, the CKF algorithm is optimized to enhance its
robustness under strong disturbances. An adaptive window
Multi-innovation strategy is proposed to improve the accuracy of SOE
estimation and the stability of the CKF algorithm while maintaining a
balance between computational complexity and estimation accuracy. To
validate the effectiveness of the algorithm, experiments are conducted
under DST and BBDST conditions. The results show that the STF-MCKF
algorithm has a maximum convergence time of 4s and an SOE estimation
error within 1.04% under DST conditions. Under BBDST conditions, the
STF-MCKF algorithm has a maximum convergence time of 3s and an SOE
estimation error within 2.34%. Furthermore, the STF-MCKF algorithm
demonstrates good stability under both the two conditions, indicating
the effectiveness of the proposed improved algorithm for lithium battery
SOE estimation.