bluuebunny/crossref_metadata_2025 huggingface dataset:
Light Quality Produced by LED Combinations on the Growth of Cucumber Seedlings (Cucumis sativus L.)
Authors: Zazueta-Torres Norma D. , Cázarez -Flores Luz Ll. , Rojas-Pérez Héctor , Román-Román Leonardo , Mendoza-Gómez Aurelia , Yáñez-Juárez Moisés G. , Partida-Ruvalcaba Leopoldo
Published: December 2024

Objective: To determine the influence of light quality on the growth of cucumber plants (Cucumis sativus L.), through the intensity of expression of different characteristics.
Design/methodology/approach: A completely randomized block design was used with four treatments and 10 repetitions. The treatments consisted of combinations of white (B), red (R) and blue (A) LEDs placed in growth chambers, with percentages of: 100B-0R-0A, 70B-30R-0A, 80B-0R- 20A and 60B-27R-13A, growth chambers with LED-based lighting systems lamps were used. Seeds of the 'Top 1056’ cultivar, Persian type, were sown. The response variables evaluated in the cucumber plants were plant height, stem diameter, leaf greenness, leaf area, fresh and dry biomass of leaves, stem and root of the plants.
Results: The light spectrum emitted by the LEDs influenced the morphology of the cucumber seedlings. With the 80B-0R-20A treatment, where there was greater blue light emission, greater leaf greenness and stem diameter were achieved. In contrast, the 70B-30R-0A treatment, with more red light, increased plant height and leaf area. Fresh and dry biomass of leaves and stem were also modified by light quality. Plants grown in the 70B-30R-0A treatment produced the greatest amounts of fresh and dry biomass, both stem and leaves.
Limitations on study/implications: The use of artificial lighting systems, with different spectral compositions for production in controlled environments presents a viable opportunity to enhance crop growth. Therefore, it is important to investigate how the light spectrum of different LED combinations affects the growth of cucumber seedlings.
Findings/conclusions: The light spectrum emitted by LED combinations influenced the morphology of cucumber seedlings, since with 80B-0R-20A treatment, resulted in greater leaf greenness and stem diameter, while the 70B-30R-0A treatment increased the height and leaf area of ​​the plants.
Cabbage plant (Brassica oleracea var. capitata L.) quantification culti-vated under different soil covers using aerial photographs
Authors: Samaniego-Gamez Samuel U. , Yáñez-Juárez Moises , Núñez-Ramírez Fidel , Payán-Arzapalo María A. , Valle-Gough Raúl E. , Samaniego-Gamez Blancka Y.
Published: December 2024

var. capitata L.) quantification cultivated under different types of mulching, using aerial images captured by RPAS (Remotely Piloted Aircraft System).
Design/methodology/approach: The cabbage plantation used for the study was established under a completely randomized block design with different types of mulch as treatments: black plastic, white plastic, straw, and bare soil. Manual plant counts and automated estimates were performed using two agricultural artificial intelligence platforms (Platforms A and B). The relationship was evaluated using linear regression correlation (R²), and the following indicators were subsequently used: estimation accuracy (Ps), estimation error percentage (Es), mean absolute error (MAE), and root mean square error (RMSE).
Results: Platform A showed a correlation coefficient range of R²=0.41 to 0.91. Platform B obtained R² values ranging from 0.77 to 0.88. Platform A exhibited the highest estimation accuracy (Ps) with 98.3% and an estimation error (Es) of -1.7% for straw mulch, with a mean absolute error (MAE) of 2.0% and a root mean square error (RMSE) of 1 for bare soil. Both platforms showed underestimations in the number of detected plants, ranging from -6.7% to -1.7%.
Limitations on study/implications: The use of RPAS was limited by atmospheric conditions such as wind and rain.
Findings/conclusions: The effectiveness of counting cabbage plants using RPAS was validated.
Assessment of Harvest Losses in Mejhoul Date Variety in Northwest Mexico
Authors: Mendoza-Gómez Aurelia , Beleño-Cabarcas Mary T. , Torres-Ramos Ricardo , Morales-Maza Antonio , Cázarez-Flores Luz Y. , Bazante-González Isidro , Zazueta-Torres Norma D. , Escobosa-García María I.
Published: December 2024

Objective: To assess date losses during harvest and identify the factors causing them.
Design/methodology/approach: A complete randomized block design with ten repetitions was used; the different farms where data on the evaluated variables were taken were the treatments. In each treatment, 10 plants were selected from which data on average fruit weight, polar and equatorial fruit diameter, fruit weight, number of clusters per plant, and yield in tons per hectare were taken.
Results: For yield in tons per hectare of good fruits during the date harvest in the 2023 cycle, an average of 11 t ha-1, 14 t ha-1, 8 t ha-1, and 15 t ha-1 was found for the plantations of El Pólvora, El Pino, Las Palmas and Cucapah respectively. In losses during the harvest, Cucapah Farm presented the highest losses with an average of 1.2 t ha-1, while El Pino was the one that presented the lowest losses with an average of 0.7 t ha-1. Fruits with a percentage greater than 10% of peeled skin are also considered losses during the harvest, because they cannot be marketed for fresh consumption.
Limitations on study/implications: Data were collected only from the harvest; exact dates of irrigation and fertilizer application are not available as the study was conducted with cooperating producers. This factor is crucial for the quality and yield of date palm cultivars.
Findings/conclusions: The age of the plant represents a significant difference in the yield per hectare due to the number of clusters it has; the more clusters it has, the higher the yield. The relative humidity directly affects the quality of the dates, and there are a more significant number of bulging fruits (with peeled skin). In this evaluation, we found that the rains during August and September 2023 significantly affected the losses during the date harvest in that season.
Vai trò của các phương pháp điều hòa thần kinh trong điều trị rối loạn trầm cảm chủ yếu
Authors: Trương Quốc Thọ , Ngô Tích Linh , Phạm Thị Minh Châu , Bùi Xuân Mạnh
Published: December 2024

Tổng quan trình bày các khuyến cáo quan trọng về vai trò của các phương pháp điều hoà thần kinh trong điều trị rối loạn trầm cảm chủ yếu của Mạng lưới điều trị lo âu và khí sắc Canada năm 2023 (CANMAT - Canadian Network for Mood and Anxiety Treatments) gồm định nghĩa, ứng dụng và các chứng cứ hiện tại với các phương pháp điều trị không xâm lấn và xâm lấn.

Từ khóa: điều hòa thần kinh; kích thích thần kinh; rối loạn trầm cảm chủ yếu
NUTRITIVE AND ANTI-NUTRITIONAL VALUES OF SKINNED EDIBLE BULLFROG PYXICEPHALUS ADSPERSUS FOR AQUAFEED
Authors: Udeh L. O. , Auta J. , Bawa Bolanle S. , Galadima M. I.
Published: December 2024

An investigation on proximate, mineral and anti-nutrition properties of Pyxicephalus adspersus was conducted with the view to evaluating its appropriateness as aquafeed source and food source. Standard analytical methods were used to determine proximate, minerals (macro and micro nutrients) and selected anti-nutrients. Pyxicephalus adspersus samples were purchased and treated to skinning and oven drying at 60oC. Triplicate samples were analysed. The proximate composition showed crude protein content of 34.29%, ash 8.18%, while dry matter, moisture, crude fibre, crude lipid, and NFE were 93.12%, 5.60%, 11.82%, 16.79% and 22.04%, respectively. Pyxicephalus adspersus was found to have values (mg/100g) of phosphorus 29.20, calcium 10.60, potassium 4.52, sodium 1.50, and magnesium 1.28. Anti-nutritional compositions (mg/100g) were 5.40, 2.68, 2.06, and 3.05 for tannin, oxalate, saponin and alkaloid, respectively. This result shows that Pyxicephalus adspersus could be used as protein source in meeting aquafeed standard without adverse effects. The crude protein (34.20%) content can be used to substitute the most expensive fishmeal in aquafeed and livestock. Also, the carbohydrate content of 22.04% suggests that it is a good source of energy.
RECENT REVIEW OF THE QUECHERS SAMPLE PREPARATION METHOD FOR FOOD AND ENVIRONMENTAL SAMPLE ANALYSIS
Authors: Shinkafi Isah Yusuf , Lawal Abubakar , Gwaram Nura Suleiman , Mashi Ahmed Lawal
Published: December 2024

Creating reliable, environmentally responsible, and effective processes that ensure the traceability, safety, and caliber of their results is one of the main challenges facing researchers doing multi-residue analysis. The QuEChERS  which stands for Quick, Easy, Cheap, Effective, Rugged, and Safe method  has shown itself to be highly adaptable, yielding positive outcomes with a range of analytes. This method allows for versatility in the choice of solvents, salts, and buffers for salting-out partitioning, as well as the use of various sorbents throughout the cleanup process. QuEChERS is a more environmentally friendly sample preparation technique that fits perfectly with analytical chemistry's rising emphasis on sustainability. This review paper's goal is to illustrate the primary applications of the QuEChERS sample preparation method, with a focus on food and environmental investigations. It also covers important improvements in the history of sample preparation methods and offers insights into the classes of substances that have been effectively evaluated with this methodology.
A digitális munkarend tapasztalatai pedagógusszemmel: kerekasztal-beszélgetés a Jászság középiskolai tanáraival
Authors: Magyar Ágnes , Ambrús Enikő Martina
Published: December 2024

A Covid-pandémia okozta digitális munkarendre történő átállás 2020 márciusában váratlanul érte a köznevelési intézmények pedagógusait és tanulóit is. Mind a tanárok, mind a diákok oldaláról megterhelő időszak volt, ugyanakkor számos ponton fejlődést is hozott. Tanulmányunkban a Jászság középiskolái által delegált pedagógusok részvételével készült kerekasztal-beszélgetésen (2021) elhangzottakat szeretnénk ismertetni. A beszélgetésen a résztvevők a Jászság hat középiskolájából érkeztek, és összesen 11 pedagógus vett részt a diskurzusban. Az eszmecsere eredményeként kirajzolódtak a digitális munkarendben történő oktatás negatív és pozitív hatásai is
Bio desulfurization of Petroleum
Authors:   Department of Chemistry, Velammal Engineering College, Chennai-INDIA., Sikkander A. Mohamed
Published: December 2024

Bio desulfurization involves the use of microorganisms or enzymes as catalysts to remove organic sulfur composites from petroleum
distillates. Microorganisms widely remove organic sulfur tittles, without affecting the hydrocarbon half of the organo- sulfur
emulsion. The colorful microorganisms that are able of removing sulfur from coal, crude oil painting, and other petroleum
fragments are described. This paper also discusses the colorful biotechnological approaches espoused and process parameters
optimized for bettered bio desulfurization. Eventually, grounded on the gaps in knowledge, unborn prospects for development of
an assiduity- scale process are suggested. A major concern among the environmental agencies includes the emigration of sulfurous
gas into the terrain. Accordingly, the oil painting agencies are in constant hunt of volition processes aiming the reduction of sulfur
content in energies. One of the technologies generally used is the hydrodesulfurization( HDS), but this is a high- cost process
that also requires high temperature and pressure. The BDS is a low- cost fashion when compared with HDS. For this process to
do, activation of specific enzymes is demanded, which is controlled by dszABC genes. Thus, strategies to optimize this process
have been of great significance to the oil painting refineries. For decades, attempts to try to apply BDS in the assiduity have
been made, but difficulties in carrying satisfactory results led the experimenters to seek new knowledge about this bioprocess.
The need of further studies concerning perpetration on an artificial scale of this process is apparent, since this biotechnology is
a promising volition to refineries in the near future
Using Analytical and Artificial Intelligence Models to Estimate Drilling Rate of Penetration (ROP)
Authors:   Department of petroleum Engineering, Islamic Azad university, Iran, Tookallo Koorosh , Sohbatzadeh Soheil ,   Department of petroleum Engineering, Petroleum University of Technology, Iran
Published: December 2024

Drilling a new oil or gas well to reach at reservoir involves a set of processes. Optimized drilling plan is critical to reach
the target in the shortest possible time and at the lowest possible cost .Drilling plan and efficiently drilling a new well
requires analysis of well data to properly determine bottom hole assembly, drilling bit, drilling fluids, and operational
parameters such as weight on bit (WOB) and drill-string rotary speed. The purpose of drilling planning is to optimize the
Rate of Penetration (ROP) by reducing non-productive time (NPT). In this article two different estimating drilling rate of
penetration (ROP), analytical model and artificial intelligence model were described.
Reliability of Eco-friendly Nano-carbon Molding for Far-infrared Thermal Effects
Authors:   Kaywon University of Art & Design, Uiwang-si, Gyeonggi-do, Korea, Yoon Jong-Hwa , Park Hoon-Min ,   Emsolution Co. Ltd., Suwonsi, Gyeonggi-do, Korea, Lee Dae-Hee ,   Emsolution Co. Ltd., Suwonsi, Gyeonggi-do, Korea, Yoon Dal-Hwan ,   Department of Semyung University, Jecheon, Chungcheongbuk-do, Korea
Published: December 2024

In this study, charcoal is finely pulverized into a powder of about 300 mesh to cure a styrene monomer and a methylol acrylamide
monomer as main components with a water-soluble acrylic emulsion adhesive, and a nanocarbon molded body is developed
through redox agents and viscosity control. At this time, when the water-soluble acrylic emulsion adhesive (45%) and the 300 to
500 mesh coconut charcoal (55%) powder is mixed and stirred at a certain ratio for 25 to 30 minutes, a spherical body with a
diameter of 1 to 3 mm is formed. When the molded composition is dried at room temperature after undergoing a firing process of 30
to 90 minutes at a firing temperature of 90 to 300°C, the charcoal molded product becomes a pure solid activated carbon of 95% or
more. To prove the eco-friendly nanocarbon molded body, far-infrared ratio, energy analysis, gas concentration and antibacterial
experiments are conducted to secure stability
Comparative Study of Adhesive Elastoplastic Model Between LIGGGHTS Software and EDEM Software
Authors:   Genie de procedes Industriels, Universite de Technologie de Compiegne (UTC), Compiegne, France, Manokaran Maheandar , Morgeneyer Martin ,   Genie de procedes Industriels, Universite de Technologie de Compiegne (UTC), Compiegne, France
Published: December 2024

As of late, the Discrete Element Method (DEM) has been generally used to focus on the complex behavior of granular materials. To apply the model accurately at the individual particle level, it is necessary to determine the model parameters at the
particle level and consider the complexities of interfacial interactions. DEM models commonly used to model adhesions, such
as JKR, DMT, linear cohesion models, elastoplastic models etc. There are lot of models are implemented in both open source
and commercial software. One of the model is Adhesive elastoplastic model, which was implemented in commercial software
EDEM. To create a user friendly and application demand, we implemented the same model in Open source software LIGGGHTS. In this work, an adhesive elastoplastic contact (DEM) model for the mesoscopic level with 3D non-spherical particles is
implemented in LIGGGHTS,fully target on accomplishing cohesive powder flowability.This model has undergone simulations
involving uniaxial compression followed until failure. The contact model utilized in these simulations has been assessed against
experimental data, specifically the flow function and compared with results obtained through EDEM simulations for limestone
powder (ESKAL), chosen as a benchmark material for comprehensive analysis.The prediction of this work gives the deeper insights of cohesively in the form of contact plasticity and it is key parameter for the behavior of cohesive granular material. This
outcomes gives a new opportunity for the user to use the model in open source depend upon their application and as wells the
behavior of cohesive granular material.
IDENTIFICATION OF CAPABILITY LEVELS OF MEDIS CARE INFORMATION SYSTEM USING COBIT 2019
Authors: Pamungkas Ardian , Fardana Nouvel Izza , Widodo Aris Puji , Adi Kusworo
Published: December 2024

Abstract: In the health sector, information technology was initially used for exchanging information between patients and doctors, health services, and exchanging health documents. The aim of applying information technology to the health sector is to increase the effectiveness and efficiency of the performance of doctors and clinic staff. This research uses COBIT 2019 as a framework for evaluating information technology governance. Primary data is collected directly from the research subjects through observation and interviews, while secondary data is sourced from other materials, such as documents or websites related to the research subject. This research focuses on Risk Profile and I&T Related Issues, with domains: APO11 – Managed Quality, and APO13 – Managed Security. Through interviews and evaluation, each priority objective was found to be at capability level 2 with ratings of 100% and 86% respectively. There are no significant gaps between the current capability levels; both are at level 2. Keywords: auditing; COBIT 2019; telemedicine  Abstrak: Di sektor kesehatan, teknologi informasi awalnya digunakan untuk pertukaran informasi antara pasien dan dokter, layanan kesehatan, dan pertukaran dokumen kesehatan. Tujuan penerapan teknologi informasi di sektor kesehatan adalah untuk meningkatkan efektivitas dan efisiensi kinerja dokter dan staf klinik. Penelitian ini menggunakan COBIT 2019 sebagai kerangka kerja untuk mengevaluasi tata kelola teknologi informasi. Data primer dikumpulkan langsung dari subjek penelitian dengan melakukan pengamatan dan interaksi langsung, sementara data sekunder diperoleh dari sumber lain. didapatkan dari jurnal atau situs website yang berkaitan dengan subjek penelitian. Penelitian ini berfokus pada Risk Profile dan I&T Related Issues, dengan domain : APO11 – Managed Quality, dan APO13 – Managed Security. Melalui wawancara dan evaluasi, setiap tujuan prioritas ditemukan berada pada level kapabilitas 2 dengan nilai masing-masing 100% dan 86%. Tidak ada kesenjangan signifikan antara tingkat kapabilitas saat ini; keduanya berada pada level 2. Kata kunci: audit; COBIT 2019; telemedis
CLUSTERING ROTATIONAL CHURN OF TELECOMMUNICATIONS CUSTOMERS USING A DATA-CENTRICAI APPROACH
Authors: Muttaqin Widang , Lydia Maya Silvi , Fahmi Fahmi
Published: December 2024

Abstract: In the current era of very fast technological development, customer churn is a serious challenge, especially in the competitive telecommunications industry. Churn refers to customers who stop using a service or move to another provider, and can be categorized into three types: Active Churn, Passive Churn, and Rotational Churn. Rotational Churn, which is difficult to predict be- cause the reasons for stopping are unclear, is the main focus of this research. This research aims to group Rotational Churn customers using a Data-Centric AI approach. This approach emphasizes improving data quality through Confident Learning and Synthetic Data before being applied to the K-Means clustering algorithm. The data used in this research is customer churn data from one telecommunications company during 2023. The research results show that customer grouping using the K-Means algorithm can provide deep insight into the characteristics of customer churn. The application of Data-Centric AI is proven to be able to increase the accuracy of clustering models, which ultimately helps compa- nies optimize programs and services to minimize churn and retain customers.       Keywords: data-centric AI; clustering; K-means  Abstrak: Dalam era perkembangan teknologi yang sangat pesat saat ini, churn pelanggan menjadi tantangan serius, terutama dalam industri telekomunikasi yang sangat kompetitif. Churn mengacu pada pelanggan yang berhenti menggunakan layanan atau beralih ke penyedia lain, dan dapat dikategorikan menjadi tiga jenis: Churn Aktif, Churn Pasif, dan Churn Rotasional. Churn Rotasional, yang sulit diprediksi karena alasan penghentian layanan tidak jelas, menjadi fokus utama penelitian ini. Penelitian ini bertujuan untuk mengelompokkan pelanggan Churn Rotasional menggunakan pendekatan Data-Centric AI. Pendekatan ini menekankan pada peningkatan kualitas data melalui Confident Learning dan Synthetic Data sebelum diterapkan ke algoritma K-Means clustering. Data yang digunakan dalam penelitian ini adalah data churn pelanggan dari satu perusahaan telekomunikasi selama tahun 2023. Hasil penelitian menunjukkan bahwa pengelompokan pelanggan menggunakan algoritma K-Means dapat memberikan wawasan mendalam tentang karakteristik churn pelanggan. Penerapan Data-Centric AI terbukti mampu meningkatkan akurasi model klastering, yang pada akhirnya membantu perusahaan mengoptimalkan program dan layanan untuk meminimalkan churn serta mempertahankan pelanggan. Kata kunci: data-Centric AI; klasterisasi; K-means
A COMPARATIVE ANALYSIS OF MFEP AND SAW METHODS IN DECISION SUPPORT SYSTEMS FOR MAJOR SELECTION
Authors: Hutahaean Jeperson , Mulyani Neni , Putri Fahdrina Jihan Aulia
Published: December 2024

Abstract: The selection of majors at SMAS YPK Kedaisianam previously still used a manual system that was less effective in determining the right major for students. To overcome this, a new system that is easier and more accurate is needed. This system is expected to assist counseling guidance teachers in providing solutions for choosing majors to students. This study compares two methods, namely Multi Factor Evaluation Process (MFEP) and Simple Additive Weighting (SAW), which have similarities in weighting criteria to produce more effective rankings. The research methodology used is a quantitative approach with numerical data analysis. This study aims to describe the comparison of the two methods in the decision support system for choosing majors at SMKS DAAR Muhsinin. The results of the study show that the use of more effective methods in the application system can make decision-making easier. The conclusion of this study is that the application of MFEP methods can improve accuracy and efficiency in the course selection process.Keywords: decision support system; mfep and saw methods; major selection. Abstrak: Pemilihan jurusan di SMAS YPK Kedaisianam sebelumnya masih menggunakan sistem manual yang kurang efektif dalam menentukan jurusan yang tepat bagi siswa. Untuk mengatasi hal tersebut, diperlukan sistem baru yang lebih mudah dan akurat. Sistem ini diharapkan membantu guru bimbingan konseling dalam memberikan solusi pemilihan jurusan kepada siswa. Penelitian ini membandingkan dua metode, yaitu Multi Factor Evaluation Process (MFEP) dan Simple Additive Weighting (SAW), yang memiliki kesamaan dalam pembobotan kriteria untuk menghasilkan peringkat yang lebih efektif. Metodologi penelitian yang digunakan adalah pendekatan kuantitatif dengan analisis data berbasis angka. Penelitian ini bertujuan untuk mendeskripsikan perbandingan kedua metode tersebut dalam sistem pendukung keputusan pemilihan jurusan di SMKS DAAR Muhsinin. Hasil penelitian menunjukkan bahwa penggunaan metode yang lebih efektif dalam sistem aplikasi dapat mempermudah pengambilan keputusan. Simpulan dari penelitian ini adalah penerapan metode MFEP dapat meningkatkan akurasi dan efisiensi dalam proses pemilihan jurusan.Kata Kunci: metode mfep dan saw;  pemilihan jurusan; sistem pendukung keputusan.
Sosyal Medya Etkileşimlerinde Depresyonu Tanımlamak için Derin Öğrenme Tekniklerinin Kullanılması
Authors: Nooruldeen Ördek İbrahim , Savaş Serkan
Published: December 2024

Depresyon, en yaygın zihinsel sorunlardan biridir ve intiharların önemli bir nedenidir. Sosyal medya platformlarının kullanımının artması, kullanıcıların günlük dilini kullanarak ifade ettikleri cümleler üzerinden depresyonun erken teşhisine olanak sağlamıştır. Sosyal medya platformlarının bireylerin günlük hayatlarında merkezi bir rol oynamaya devam etmesiyle, bu platformları ruh sağlığı analizi için kullanma konusunda artan bir ilgi bulunmaktadır. Bu çalışmada, Twitter (günümüzde X) üzerinden depresyon sınıflandırması yapılmıştır. Bu çalışmanın amacı Twitter'dan alınan tweetler arasında depresif özellik taşıyan tweetleri tespit etmektir. Çalışmada, Çift Yönlü Uzun Kısa Süreli Bellek (Bi-LSTM) mimarisi kullanarak depresyon tahmini için yenilikçi bir model sunulmuştur. Bu model, tweetlerdeki dil özelliklerini kullanarak depresyonun daha doğru tespiti için uygun temizleme ve ön işleme tekniklerinden faydalanmaktadır. Çalışma için, Twitter API yoluyla elde edilen özel bir veri seti oluşturulmuş ve analizler bu veri seti üzerinde gerçekleştirilmiştir. Önerilen Bi-LSTM modeli, %97.22'lik bir doğruluk oranı elde ederek dikkate değer bir etkinlik göstermiştir. Elde edilen sonuçlar, Twitter kullanıcılarının duygularındaki depresyonla ilgili örüntüleri ayırt etmek için derin öğrenme tekniklerinin kullanılabilirliği ve etkinliğini göstermiştir. Bu araştırma, ruh sağlığı izlemede ileri düzey tahmin analitikleri için bir temel oluşturmakta ve depresyon tespit modellerinin doğruluğunu ve verimliliğini artırmada Bi-LSTM'in potansiyelini vurgulamaktadır.
Implementasi Kuliah Kerja Lapangan Prodi Aqidah dan Filsafat Islam dalam Pengembangan Literasi Wisata Spiritual Sulawesi Selatan
Authors: Askaryna Andini , Malliongi M. Takbir , Rahmawati Rahmawati , Hanis Gani Nur Azizah Putri , Anggreni Ferlita , Alifiah Kanaya Iffah , Ilyas M.Akbar , Ridwan Muh , Tajering Tajering , Almaudhudhy A. Muh. Ilham Noer , Paleppangi Muh. Albadri
Published: December 2024

This study examines the roles of three key figures in the spread of Islam in South Sulawesi, namely Datuk Ri Bandang, Datuk Ri Panggentungan, and Syekh Yusuf, as well as the perspectives of pilgrims and tomb guardians in preserving historical and spiritual values. These figures significantly contributed to the Islamization of South Sulawesi, bringing substantial changes to the social and cultural structures of the local communities. The motivations of pilgrims visiting these tombs include respect for historical values, spiritual beliefs, and seeking blessings. Tomb guardians play a crucial role not only in maintaining the physical condition of the tombs but also in safeguarding Islamic teachings in alignment with local values. This study highlights the importance of preserving these historical sites as cultural heritage and religious tourism destinations, as well as the need to educate the public about proper pilgrimage practices according to Islamic teachings. The findings of this study contribute to the efforts of preserving spiritual values and developing culture-based tourism in South Sulawesi.
Structuralism’s Other Saussure
Authors: Reside Kevin
Published: December 2024

This article attempts to place the psychoanalyst Raymond de Saussure (son of Ferdinand de Saussure and an analysand of Freud) within the history of structuralism, by emphasizing the linguistic dimensions of his early psychoanalytic thought. With reference to numerous unpublished letters, and other archival material, it reconstructs in detail three pivotal moments in the young de Saussure’s early career. First, it locates a preliminary attempt to combine Freudian psychoanalysis with the linguistic theories of Ferdinand de Saussure in Raymond de Saussure’s correspondence with the linguist Charles Bally and his review of Antoine Meillet. An attempt is then made to situate Saussure within the context of an early Swiss interest in the relationship between linguistics and psychoanalysis through a study of the papers presented by his colleagues Jean Piaget and Sabina Spielrein, at the 1922 International Psychoanalytic Congress in Berlin. The article then shifts its focus to 1940s New York, to explore how Saussure assisted his close friends and collaborators Roman Jakobson and, to a lesser extent, Claude Lévi-Strauss in establishing the fundamental coordinates of the structuralist movement. The article aims to call attention to an earlier Freudo-Saussurean synthesis that has been overshadowed by Jacques Lacan’s later, more elaborate, application of Saussurean linguistics to psychoanalysis.
Intermediaries and Intermediation in Sustainability Transitions
Authors: Kanda Wisdom , Magnusson Thomas , Hjelm Olof
Published: December 2024

Intermediary actors are key catalysts that can accelerate sustainability transitions. The related academic literature on intermediaries and intermediation in sustainability transitions has expanded rapidly since 2019. This rapid expansion has resulted in inconsistent use of the concept of intermediaries, proliferated lists of activities assigned to intermediaries and questions regarding the impact of intermediaries on transitions processes. These challenges can undermine the concept making it fuzzy and inaccessible for newcomers to the field while limiting its practical relevance. Thus, this chapter seeks to provide readers with an accessible introduction to the concept of intermediaries and intermediation in sustainability transitions followed by a historical account of the development of the concept. The chapter then provides some empirical examples of intermediaries and their activities, followed by a problematization of the literature specifically with regards to its lack of an explicit theory on why intermediaries exist in transition processes. In doing so, we position intermediaries in relation to other actors in transition processes such as system entanglers, orchestrators, and champions. The chapter ends by suggesting future research trajectories including the need to move beyond individual intermediaries to ecologies of intermediation as different transitions accelerate and interact.
Assessing the clinical utility of pupillary light reflex in youth with emerging mood disorders
Authors: Tonini Emiliana , Shin Mirim , Phung Elizabeth , Janiszewski Connie , Carpenter Joanne S , Crouse Jacob J , Nichles Alissa , Zmicerevska Natalia , Scott Elizabeth M , Hickie Ian B
Published: December 2024

Background: Altered sensitivity to light is a potential mechanism for developing abnormal circadian entrainment. This study investigates the utility of the pupillary light reflex as a method of differentiating youth with emerging mood disorders and healthy controls. Methods: This ongoing study included 58 participants (Mean age=25.86±5.45; 62% Females) aged 14-40 years, seeking mental health care at headspace services in Sydney, and 24 healthy controls (Mean age =25.21±2.59; 54% Females). Participants underwent a 20-min pupillometry assessment to examine the pupil’s response to light. A handheld PLR-3000 Monocular Pupillometer (NeurOptics, California, USA) was used to measure the reflex in a dark room, by delivering two 1-second light pulses (dim [~10 lux] followed by bright [~1500 lux]). Analyses of covariance were conducted to assess group differences, with within-group correlation analysing between pupil metrics and mental health scores. Results: After a dim light pulse, the diameter of the pupil of cases changed significantly less than that of healthy controls (dim: F(1,56)=10.176; pFDR=0.026); bright: F(1,56)=7.480; pFDR=0.039). In addition, the latency of constriction after a bright pulse was significantly longer in cases compared to controls (F(1,56)=8.945; pFDR=0.026). Within cases, change in pupil size and constriction velocity after a bright pulse was positively correlated with psychological distress (K10) and anxiety (GAD-7) scores. Conclusion: These preliminary findings support the potential for pupillary light reflex to clinically differentiate between youth with emerging mood disorders and healthy controls. Future studies will aim to assess the variance in pupillary light reflex between different clinical groups.
Kepler's constant in celestial mechanics, in electromagnetism and in cosmology
Authors: Kosinov Mykola
Published: December 2024

From the coincidence of large numbers on a scale of 10^180, an unusual equation is obtained that combines the parameters of the Universe in the form of Kepler's Third Law. The equation combines 4 parameters of the universe: mass, radius, time and Newtonian constant of gravitation G. Instead of the parameters of the planet orbit, the equation includes the parameters of the universe in the form of Kepler ratio R^3/T^2. From the coincidence of large numbers on scales of 10^160, 10^120, 10^40, an equation is obtained that combines the parameters of the electron in the form of Kepler's Third Law. The equation unifies the 4 parameters of the electron: mass, classical radius, time, and electric charge. These equations show that the limits of applicability of Kepler's Third Law extend far beyond the mechanics of planets. The description of the mechanism of planetary motion is only a special case of the application of Kepler's law. Kepler's Third Law in the cosmological equation and Kepler's Third Law in the equation of electromagnetism reveal the universal character of this law. Kepler's Law applies not only to the planets, but also to the universe and even to the electron. Kepler's Third Law acquires the status of the most important law of physics and cosmology. Full disclosure of its role and place in electromagnetism and cosmology will provide answers to many unsolved problems of physics and cosmology. Kepler's Third Law is a major contender for a basic law for the new physics
Genome-wide association analysis of eggshell pore traits based on whole genome resequencing
Authors: Zhang Jun-Jie , Chen Yi-Fan , Shi Lei , Wang Yi-Tong , Zhao Xiao-Yu , Zhou Rong-Yan , Chen Hui , Liu Hua-Ge , Ning Zhong-Hua , Wang De-He
Published: December 2024

Eggshell pores can be subdivided into micrometer-scale gas pores, submicroscopic bubble pores, and nanoscale mesopores. All are important indicators of eggshell quality ensuring gas exchange between the inside and outside of the eggshell and preventing invasion by external bacteria. Although previous studies on eggshell pores focused on gas pores, recent studies have shown that bubble pores may play an more important role in regulating gas exchange. In order to investigated the relationship between gas and bubble pores and the mechanisms of genetic regulation. In this study, 40-week-old Brown-Egg Dwarf Layers (DWL) eggs were selected, and the quantity of gas pores (QGP), quantity of mammillary (QM), and quantity of bubble pores (QBP), area sum of bubble pores (ASBP), and other bubble pore-related indexes were determined. The correlation between each index was calculated, and genome-wide association analysis (GWAS) was performed based on whole genome resequencing (WGR). The results showed that the CVs of QGP and QM were 15.69% and 15.49%, respectively, and the CVs of the related pore indices, such as QBP and ASBP, were 29.22%-44.82%. The correlation coefficient between QGP and QM was 0.59 (P< 0.01), and there was no correlation between QGP, QM, and the bubble pore-related indicators (P > 0.05). These results above suggest that the gas and bubble pores may be two independent pore systems. A total of 32 single nucleotide polymorphisms (SNPs) associated with the suggestively significant level of bubble pore correlation indexes were detected in GWAS, and the corresponding genes were ANXA10, CDH10, AADAT, RXFP1, FNIP2, DDX60, PCDH10, RAPGEF2, FSTL5 and SPOCK3. KEGG enrichment analysis showed that these genes were mainly expressed in the calcium ion binding pathway, indicating that the genes and pathways may play a regulatory role in forming bubble pores during eggshell calcification. This study provides a basis for revealing the genetic regulatory mechanism of eggshell pores and a reference and direction for further improvement in eggshell quality.
Novel gas sensing mechanisms of Pd and Rh-doped h-BN monolayers for detecting dissolved gases (H2、CH4、and C2H4) in transformer oil
Authors: Jiang Jiaming , Yang Dingqian , Zeng Wen , Wang Zhongchang , Zhou Qu
Published: December 2024

Detecting dissolved gases in transformer oil is crucial for assessing the operational status of transformers. The gas composition in transformer oil can reflect the health status of the equipment and help identify potential failure risks in a timely manner. Based on density functional theory (DFT), Pd and Rh atoms were doped into the h-BN monolayer, and the most stable adsorption structures for each were first explored. Then, the sensing performance of the Pd-doped and Rh-doped h-BN monolayers for H2, CH4, and C2H4 gases was analyzed. The results indicate that Pd-BN and Rh-BN exhibit enhanced sensitivity to H2 and C2H4 gases compared to pristine h-BN. However, they show poor adsorption characteristics for CH4. Both Pd-BN and Rh-BN demonstrate strong chemisorption for H2 and C2H4. In contrast, CH4 adsorption is predominantly physisorbed. The desorption time of H2 from Pd-BN at 398 K is 164 s, reflecting its excellent desorption performance. Additionally, Pd-BN and Rh-BN monolayers exhibit exceptional C2H4 capture capabilities, with adsorption energies of −1.697 eV and −2.188 eV, respectively, indicating their potential as C2H4 gas adsorbents. These findings provide theoretical insights for selecting materials for dissolved gas detection in oil and lay the groundwork for the development of Pd-BN and Rh-BN-based gas sensors.
Educational transmedia narratives and the INAEP method: innovation and learning in the Colombian Context. Pilot study
Authors: García-Rojas Maribel , Mañas-Olmo Moisés , Aranda Lourdes , Cortés-González Pablo
Published: December 2024

This pilot study examined how higher education students in Colombia perceived innovation while interacting with a transmedia product. The study aimed to determine the perceived innovation in students as prosumers of a transmedia product called “El Bogotazo” and to evaluate the impact of the INAEP method on their learning. A quantitative correlational methodology was employed, involving 57 students from fields such as Advertising, Marketing, Business Administration, Accounting, and Law. A 20-question Likert-type survey assessed dimensions like innovation perception, learning, prosumer behavior, and ICC. Preliminary results showed significant direct relationships among all dimensions. Notably, students’ perceived innovation strongly correlated with their learning and prosumer roles in educational transmedia narratives. The study highlighted the importance of CCIs in education, positioning students as active prosumers and revealing the relationship between CCIs, innovation, and learning. The discussion confirmed the INAEP method’s potential to measure 21st-century competencies, emphasizing innovation, educational transmedia narratives, and students’ active roles in learning.
Reaching the top of Bloom’s Taxonomy: an innovative pilot program for preclinical undergraduate and medical school students to create curricula for STEMM outreach/service-learning programs
Authors: Salas Abigail , Tan Mingqian , Andrienko Sofia , Cengiz Kayra , Wisco Jonathan J.
Published: December 2024

Bloom’s Taxonomy is an andragogical tool that classifies educational objectives, learning activities, and assessments into distinct levels of cognitive thinking. Preclinical medical sciences educators aim to promote higher-order thinking in their curricula to help students develop clinical decision-making skills and foster deep learning. However, many courses and curricula remain focused on lower levels of Bloom’s Taxonomy because they are easier to implement and assess. Meanwhile, many service-learning opportunities for medical students focus on developing affective faculties over higher-level cognitive processing of curricular material. We describe a model program in which undergraduate pre-medical education (UPE) and undergraduate medical education (UPE/UME) students at Boston University Charles River Campus (BU CRC) and Boston University Aram V. Chobanian & Edward Avedisian School of Medicine (BU Chobanian & Avedisian SOM) simultaneously engaged in service-learning and the Create level of Bloom’s Taxonomy by developing a supplementary high school (HS) medical science curriculum based on content and instructional models from their preclinical courses. Activities such as mock patient cases, simulated patient interviews, and physical examination training contributed toward a HS curriculum that promotes healthy habits; increases community public health self-efficacy; sparks interest in Science, Technology, Engineering, Math and Medicine (STEMM) concepts; and educates about medical careers through engaging lessons and activities focused on human anatomy and physiology.
Impact of gamification on school engagement: a systematic review
Authors: Ruiz Judy Julieth Ramírez , Sanchez Ana Dolores Vargas , Figueredo Oscar Rafael Boude
Published: December 2024

School engagement is defined as students’ dedication to activities empirically linked to desired outcomes. This concept encompasses all dimensions of being: academic, emotional, and behavioral. Gamification is presented as an innovative strategy in the field of education because using game design elements can engage students in the learning process. This systematic review sought to analyze the development of research in the academic literature on gamification as a strategy to favor school engagement in primary and secondary education, conducted between 2013 and 2023. A total of n = 90 interventions that met the inclusion criteria were identified using the PRISMA methodology guidelines. The results show that there is a need to evaluate school engagement from a broader perspective when using the gamification strategy and to identify other elements that are necessary to achieve the proposed objectives in the teaching and learning process. Findings also demonstrate that it is important to consider a more holistic view that includes not only motivation and participation, but also other factors and dimensions of school engagement.
Situation of music education in primary school in Wuhan (China). Analysis from the perspective of music teachers
Authors: Zhu Qi , Solano-Sánchez Miguel Ángel , Lorenzo Quiles Oswaldo
Published: December 2024

This article makes an exploratory and diagnostic analysis, of empirical type, of the current situation of music education in primary schools in the city of Wuhan (China), from the perspective and opinion of the music teachers of these schools. The research approach is quantitative and a cross-sectional descriptive empirical-analytical research method was used. A total of 423 primary school music teachers from Wuhan participated in the research. An existing questionnaire on the situation of music education in primary schools in Beijing and Shanghai (China) is used in this research. This instrument has psychometric properties calculated by validity and reliability. As for the results of the questionnaire, the Mann–Whitney U-test was used to determine in which questions about the performance of music teachers in primary schools there are significant differences between different variables that make up the socio-demographic profile of the teacher, habits and resources available in the classroom. It is hoped that this study can contribute to the development of music education in Wuhan primary schools.
Adult height in girls with idiopathic central precocious puberty treated with triptorelin
Authors: Corripio Raquel , Soriano-Guillén Leandro , Herrero Francisco-Javier , Castro-Feijoó Lidia , Escribano Aránzazu , Sol-Ventura Paula , Espino Rafael , Vela Amaia , Labarta José-Ignacio ,   The Spanish PUBERE Group, Argente Jesús
Published: December 2024

Objective

Idiopathic central precocious puberty (CPP) precipitates epiphyseal fusion of growth plates in long bones, leading to reduced adult stature. Gonadotropin-releasing hormone analogues (GnRHa) are the treatment of choice for idiopathic CPP, but their benefit on height gain is unclear. We aimed to elucidate the effects of GnRHa treatment on adult height in girls with idiopathic CPP.

Design

This prospective observational descriptive study analyzed data of girls with idiopathic CPP diagnosed at 55 centers in Spain between January 1, 1998 and December 31, 2012 included in the Spanish Society for Pediatric Endocrinology’s national registry.

Methods

We included girls with idiopathic CPP (thelarche < 8 years, positive LHRH stimulation test, bone age > 1 year older than chronological age, and normal brain imaging) treated with triptorelin (3.75 mg monthly, adjusted according to LHRH test results and clinical findings). We assessed weight, height, BMI, and secondary sexual characteristics every 6 months and bone age every 12 months until adult height (AH) was attained. The primary outcome was the difference between AH and target height (TH).

Results

A total of 465 girls (18.90% adopted) were included; we analyzed data recorded at treatment end in 358 girls and at AH in 216. Mean difference between AH and TH was -1.5 (95%CI: -2.56− -0.45) cm and between AH and PAH 2,57 (95%CI:-3.56− -1.58) cm.

Conclusions

GnRHa treatment helps preserve genetic growth potential in girls with idiopathic CPP.
Research on optimal scheduling of minor and moderate floods for cascade reservoirs in the lower reaches of the jinsha river considering power generation
Authors: Ren Zaimin , He Bin , Yao Chenchen , Lv Xiaoshuai , Wang Xihong
Published: December 2024

The comprehensive cascade reservoir system is extensively used for flood control and power generation. Traditional reservoir scheduling often treats these tasks as competing objectives, prioritizing flood control during the flood season and neglecting power generation benefits. This approach, primarily applied to large floods, leads to hydraulic resource wastage and power generation loss during minor and moderate floods. The lower Jinsha River cascade reservoirs have significant flood control storage capacity, allowing part of the capacity to be used for maintaining higher water levels without compromising safety under minor and moderate floods within a 20-year return period. This paper proposes an optimal scheduling model that considers both flood control and power generation tasks for the lower Jinsha River cascade reservoirs. The Multi-objective Particle Swarm Optimization (MOPSO) algorithm was used to find non-inferior solution sets. An evaluation index system was developed to select optimal solutions under different flood frequencies, using the Minimum Discriminant Information Principle and VIKOR model. The results indicate that the optimal scheduling scheme under 20-year, 10-year, and 5-year return period floods can enhance power generation by 1.64, 1.71, and 1.35 billion kWh, respectively, compared to conventional scheduling. This approach supports coordinated flood control and power generation scheduling, contributing to the high-quality development of the Yangtze River Economic Belt.