bluuebunny/crossref_metadata_2025 huggingface dataset:
Аритмогендік синдромдарды таргетті секвенирлеуге арналған кітапханаларды дайындау ерекшеліктері
Authors: Ахметова А.Ж. , Абилова Ж.М. , Рахимова С.Е. , Каиров У.Е. , Бекбосынова М.С. , Гули Ч. , Акильжанова А.Р.
Published: February 2025

МақаладаIllumina платформасына арналған пайдаланушы кардиогенетикалық панелін пайдаланаотырып, əртүрлі аритмогендік синдромдармен ассоциацияланған 96 генді таргетті байыту əдісіментаргетті секвенирлеу үшін ДНҚ кітапханаларын дайындаудың əдістемесі сипатталған. Таргетті гендердің ДНҚ кітапханалары əртүрлі аритмогендік синдромдары бар 65 науқасқа дайындалды. Хаттама225 нг геномдық ДНҚ үлгілерінен ДНҚ кітапханаларын əзірлеуге оңтайландырылды. Бақылау ретіндеp/n G9901C (Agilent Technologies, АҚШ) жиынтығымен бірге жеткізілген байытылған бақылау ДНҚ-сы (Enrichment Control DNA) пайдаланылды. Ең алдымен, барлық 65 науқастың ДНҚ үлгілері рестрикциялық ферменттер көмегімен əртүрлі фрагменттерге бөлінді жəне денатурация-ланды. Содан кейін, сақиналы ДНҚ молекулаларын құру үшін зондтар кітапханасы таргеттіфрагменттерге гибридизацияланды. Келешекте биоинформатикалық талдау кезінде үлгілердіидентификациялау үшін65 үлгіге əртүрлі 65 индекс сиквенстері қосылды. Зондтар биотинделді жəнетаргетті фрагменттер магнитті стрептавидинді шарлар көмегімен бөлініп алынды. Кейін сақиналы ДНҚ молекулалары лигация үрдісі кезінде біріктірілді. Таргетті фрагменттер полимеразды тізбек реакциясы көмегімен амплификацияланды, нəтижесінде алынған индекстелген амплификация өнімдері Illumina HiSeq2000 жаңа буынды секвенаторында секвенирлеуге жіберілді.
BRANCHED CHAINED AMINO ACIDS ENRICHED BAR AND CHRONIC LIVER DISEASE: A CASE STUDY
Authors: Fazal Ayesha
Published: February 2025

Nutritional intervention with branched-chain amino acid (BCAA) is reported to increase survival of patients with decompensate cirrhosis. Purposely, a branched chain amino acids rich snack was developed and its effect on serum albumin and total protein levels of chronic liver disease patient was assessed. Pumpkin seeds, lentils and brown sugar were used in the preparation of the product to fulfill the daily BCAA requirement of the patient. The evaluated product was considered acceptable for chronic liver disease patient with serum albumin levels below 4g/dL. A 6- week trial was conducted in which patient was served with a bar as an evening snack to determine its effectiveness in increasing the serum albumin levels. Significant increase in serum albumin levels were observed; raising the values from 3.82 g/dL to 4.9 g/dL and total protein levels from 7.04 g/dL to 8.14 g/dL. Thus, the study infers that there was an inverse association between BCAA enrich snack food and serum profile of the patient.
DRUG REPOSITIONING, AN APPROACH FOR IDENTIFICATION OF NEW THERAPEUTICS
Authors: Akram Saima
Published: February 2025

Drug repositioning of FDA approved drugs is an innovation stream of drug discovery. This review elaborates the advantages, approaches and challenges of drug repositioning. This low cost, less risky and less time-consuming drug repositioning includes effective computational and experimental approaches to identify new indications for existing drugs. Similar to drug discovery, there are various challenges to repurpose a drug such as selection of an appropriate approach and target population, intellectual property (IP) protection and etc. This review also focuses on history and success stories of drug repositioning. An alternative approach, drug combination of two or multiple drugs has dramatically increased the success rate of drug repositioning. This synergistic drug repositioning is a promising strategy to combat various diseases such as infectious diseases, cancer, neurological disorders and many rare diseases. Various examples of successful synergistic drug repositioning have been described in this review. Finally, we can say that synergistic drug repositioning provides a new way to drug discovery research.
Scalp Lipofibromatosis – A case report on comprehensive management in a two-year-old child from Pakistan
Authors: Ansari Nasruddin
Published: February 2025

Lipofibromatosis is a rare benign soft tissue tumor that primarily affects children. There is limited cytological description and management of this rare condition in the literature which leads to misdiagnosis. The two years old patient first presented with a big, non-tender swelling on the scalp’s right temporoparietal area. Despite receiving chemotherapy for misdiagnosis of small round cell carcinoma on first biopsy, the tumor continued to grow, requiring surgical removal. The histopathology report after surgical excision validated the diagnosis of lipofibromatosis. The cosmetic care of the wound was taken by plastic surgery team. The fact that this case was successfully treated shows how crucial it is to treat rare pediatric cancers with a multidisciplinary strategy that incorporates surgical precision, imaging, histopathology and aesthetic considerations. This strategy highlighted the need of preserving the patient’s quality of life by cosmetic reconstruction in addition to facilitating efficient tumor removal. Emphasizing thorough diagnosis and interdisciplinary management, this case adds important context to the little existing research on lipofibromatosis.
Violencia y discriminación hacia el personal docente: análisis de denuncias pre y post pandemia en el sistema escolar chileno
Authors: Aqueveque Muñoz Camila , Cárceles Uribe Francisco Alonso , Maureira Sánchez Juan Francisco
Published: February 2025

Introducción: Este estudio examina la prevalencia de la violencia, discriminación y maltrato hacia los y las docentes en el contexto escolar chileno, destacando su impacto en el bienestar y la capacidad de enseñanza. A pesar de las políticas de respeto, muchos docentes sufren denigración y discriminación. Metodología: Este análisis cuantitativo, de diseño descriptivo y longitudinal no experimental, tiene como objetivo interpretar las denuncias de maltrato recopiladas durante los períodos pre y post pandemia identificando los tipos más comunes y sus efectos, considerando género, tipo de escuela y perspectiva de violencia de género. El estudio se basó en el análisis de 1635 registros de denuncias de violencia recopilados por la Superintendencia de Educación de Chile entre los años 2018 y 2023. Resultados: Los resultados revelaron que, durante los primeros tres años (2018-2020), las denuncias presentadas por mujeres consistentemente superaron el 77%. Discusión: A pesar de la promulgación de diversas leyes para mejorar la convivencia, los datos muestran un alto índice de denuncias. Conclusiones: Este hallazgo es coherente con investigaciones previas que indican que las mujeres experimentan una mayor incidencia de violencia y discriminación de género en los entornos educativos.
El destino de la basura: una mirada a sus impactos
Authors:   Instituto de Ciencias Biológicas. Universidad de Ciencias y Artes de Chiapas. Tuxtla Gutiérrez, Chiapas, México, Teresa de Jesús Sánchez-Sánchez
Published: February 2025

Los residuos sólidos urbanos (RSU) reflejan la cultura de una sociedad y tienen un impacto significativo en la salud pública y el medio ambiente. En México, la disposición final inadecuada de estos residuos es un problema crítico, agravado por la prevalencia de sitios no controlados frente a los rellenos sanitarios. Se registran 2,203 Sitios de Disposición Final (SDF), de los cuales el 87% son sitios no controlados, siendo los rellenos sanitarios la minoría. Los efectos adversos de esta disposición inadecuada incluyen la contaminación del aire y del agua, las emisiones de metano y lixiviados, la degradación del paisaje y la proliferación de enfermedades debido a los vectores de transmisión y los riesgos para la salud pública. Este trabajo busca analizar los desafíos asociados con la gestión y disposición final de los RSU en México, identificar los principales impactos ambientales y sociales derivados de estas prácticas y proponer estrategias que fomenten un manejo más sostenible.
Caracterización espectral y análisis del color verdadero de diferentes colorantes naturales como Bixa Orellana, Brassica oleracea, var. Capitata e Indigofera suffruticosa
Authors:   Ingeniería Ambiental, Facultad de Ingeniería, Universidad de Ciencias y Artes de Chiapas. Tuxtla Gutiérrez, Chiapas. México, Carlos Manuel García Lara , Hugo Alejandro Nájera Aguilar ,   Ingeniería Ambiental, Facultad de Ingeniería, Universidad de Ciencias y Artes de Chiapas. Tuxtla Gutiérrez, Chiapas. México, Juan Antonio Araiza Aguilar ,   Ingeniería Ambiental, Facultad de Ingeniería, Universidad de Ciencias y Artes de Chiapas. Tuxtla Gutiérrez, Chiapas. México, Flor de Magaly González Hilerio ,   Ingeniería Ambiental, Facultad de Ingeniería, Universidad de Ciencias y Artes de Chiapas. Tuxtla Gutiérrez, Chiapas. México, María de los Ángeles Polanco Enciso ,   Facultad de Contaduría y Administración, C-I, Universidad Autónoma de Chiapas. Tuxtla Gutiérrez, Chiapas. México
Published: February 2025

En este trabajo se evaluó el proceso de obtención de colorantes a partir de especies vegetales como la Bixa Orellana (Achiote) y Brassica oleracea, var. capitata (col morada). Las absorbancias de los colorantes obtenidos fueron comparadas con Indigofera suffruticosa (añil) y azul de metileno, adquiridos comercialmente, utilizando espectroscopía en el ultravioleta (UV), visible (Vis) e infrarrojo cercano (IR), obteniendo absorbancias superiores a 2.5 en el rango de longitudes de onda de alta energía, útil en la industria médica por sus propiedades de desinfección. Se determinaron modelos de regresión lineal con diluciones de estos colorantes para la obtención del color ver-dadero obteniendo coeficientes de determinación superiores a 95%.
Platform Infrastructures
Authors: Stokols Andrew
Published: February 2025

Katie J. Wells, Kafui Attoh, and Declan Cullen, Disrupting DC: The Rise of Uber and the Fall of the City (Princeton, NJ: Princeton University Press, 2023), 224 pp. $27.95.

Paris Marx, Road to Nowhere: What Silicon Valley Gets Wrong About the Future of Transportation (London: Verso, 2022), 272 pp. $26.95.
EFEKTIVITAS STRATEGI DIRECT MARKETING DALAM MEMBANGUN BRAND AWARENESS NUTRISARI
Authors: Cendana Amanda Puspa , Bachri Syamsul , Zahara Zakiyah , Asriadi Asriadi
Published: February 2025

Penelitian ini bertujuan untuk mengidentifikasi apakah strategi pemasaran langsung yang diterapkan oleh PT. Nutrifood Indonesia cabang Palu efektif dalam membangun kesadaran merek Nutrisari. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Pengumpulan data dilakukan melalui wawancara mendalam kepada empat orang informan yaitu pemangku kepentingan PT. NFI cabang Palu dan para pelaku usaha Merchant Teh di Kota Palu sebagai subjek penelitian dengan fokus penelitian pada indikator Pemasaran Langsung dan Kesadaran Merek. Analisis data dilakukan melalui tiga tahap: reduksi data, penyajian data, dan perumusan kesimpulan. Hasil penelitian mengungkapkan bahwa implementasi strategi pemasaran langsung yang dilakukan oleh perusahaan, mencakup program potongan harga, pemasangan merek, dan dukungan materi promosi, terbukti efektif dalam membangun kesadaran merek Nutrisari di kalangan konsumen target. Pendekatan ini menunjukkan korelasi positif antara intensitas intervensi pemasaran dan peningkatan pengakuan merek dalam konteks pasar minuman bubuk. Pemilihan Merchant Teh sebagai subjek penelitian memberikan keunikan tersendiri dalam mengeksplorasi dinamika pasar teh yang belum banyak diteliti. Fokus pada Merchant Teh memungkinkan peneliti untuk mendalami karakteristik spesifik rantai pasok dan strategi pemasaran dalam perdagangan minuman bubuk. Namun, pembatasan ini juga dapat mengurangi kemampuan generalisasi temuan penelitian ke sektor perdagangan lainnya.
OPTIMALISASI MEDIA SOSIAL DALAM MENINGKATKAN BRANDING UMKM EYO SEBAGAI STRATEGI DIGITAL MARKETING
Authors: Sabir A. Amalia Almaidah , Sutomo Maskuri , Zahara Zakiyah , Wanti Sri
Published: February 2025

Penelitian ini bertujuan untuk mengeksplorasi dan menganalisis optimalisasi media sosial dalam memperkuat branding UMKM EYO sebagai bagian dari strategi pemasaran digital. Metode yang digunakan adalah pendekatan kualitatif deskriptif, dengan pengumpulan data melalui wawancara, observasi, dan analisis konten dari akun Instagram @eyo.craft. Hasil penelitian menunjukkan bahwa tingkat keterlibatan yang rendah dan fluktuatif menjadi tantangan utama dalam strategi branding EYO. Analisis terhadap konten yang dipublikasikan menunjukkan bahwa variasi jenis konten, seperti format carousel, memiliki pengaruh signifikan terhadap tingkat interaksi pengguna. Selain itu, penjadwalan posting yang tepat dan relevansi konten dengan momen spesial juga terbukti meningkatkan keterlibatan audiens. Dengan menerapkan strategi konten yang berkualitas dan relevan, UMKM EYO dapat membangun hubungan yang lebih kuat dengan pelanggan, meningkatkan loyalitas, dan mendorong keputusan pembelian. Penelitian ini memberikan rekomendasi bagi UMKM lain dalam memaksimalkan penggunaan media sosial untuk branding yang lebih efektif di era digital saat ini.
PENGARUH PENDAPATAN ASLI DESA (PADES) DAN BELANJA MODAL TERHADAP KINERJA KEUANGAN DESA
Authors: Huwaidah Qothrun Nada Fajar , Afiqoh Nyimas Wardatul
Published: February 2025

Penelitian ini mengkaji bagaimana Pendapatan Asli Desa (PADes) dan modal belanja berdampak pada kinerja keuangan desa di Kabupaten Gresik. Melalui metode kuantitatif, penelitian ini menggunakan data APBDes dari 92 desa sebagai sampel, yang dikumpulkan menggunakan teknik purposive sampling. Pendapatan Asli Desa (PADes) dan modal belanja melambat dengan kinerja keuangan desa dengan menggunakan analisis regresi linier berganda. Menurut hasil penelitian, PADes meningkatkan kinerja keuangan desa secara signifikan yang mengindikasikan bahwa peningkatan PADes dapat mengurangi ketergantungan desa pada bantuan pemerintah pusat dan meningkatkan kemandirian keuangan desa. Di sisi lain, Kinerja keuangan dipengaruhi secara signifikan oleh modal belanja, yang mungkin disebabkan oleh ketidakefisienan dalam perencanaan dan pengelolaan investasi jangka panjang. Studi ini memberikan kontribusi dalam pengelolaan keuangan desa dengan menyarankan agar desa memprioritaskan perencanaan yang matang dalam pengeluaran modal belanja untuk memaksimalkan manfaat investasi bagi masyarakat.
Analysis of Students' Mathematical Literacy in Solving Problem-Solving Questions Based on Self-Regulated Learning
Authors: M. Duskri  , Afrizal  , Susanti
Published: February 2025

Sangat penting bagi siswa untuk mengembangkan kemampuan literasi matematika sehingga mereka dapat memanfaatkan matematika untuk memecahkan masalah dalam kehidupan sehari-hari dan tidak hanya memahami materi pelajaran. Tujuan dari penelitian ini adalah untuk mengevaluasi seberapa baik siswa menggunakan literasi matematika untuk memecahkan masalah yang telah ditinjau dari SRL. Penelitian ini menggunakan metodologi kualitatif deskriptif. Tiga anak dari kelas IX MTsN 3 Banda Aceh mereka yang memiliki kemampuan SRL tinggi, sedang, dan rendah menjadi subjek penelitian. Peneliti, soal tes untuk literasi matematika, kuesioner SRL, dan protokol wawancara berfungsi sebagai instrumen penelitian. pengumpulan data melalui wawancara dan penilaian tertulis. Tiga langkah prosedur analisis data adalah reduksi data, penyajian data, dan penarikan kesimpulan. Dengan memberikan STKLM-1 dan STKLM-2 pada berbagai waktu, teknik pemeriksaan validitas data menggunakan triangulasi waktu. Temuan penelitian menunjukkan bahwa peserta dengan SRL tinggi memenuhi ketiga kriteria literasi matematika: merumuskan, menggunakan, dan menafsirkan. Hanya dua indikator literasi merumuskan dan menggunakan yang dipenuhi oleh subjek dengan SRL menengah; mereka tetap tidak mampu memahami hasil mengingat tingkat kesulitannya. Hanya indikator merumuskan yaitu, mengartikulasikan masalah matematika yang dapat dipenuhi oleh subjek dengan SRL rendah; mereka tetap tidak mampu memenuhi indikator menggunakan dan menginterpretasi.It is crucial that students develop mathematical literacy abilities so that they can utilize mathematics to solve problems in their daily lives and not just understand the subject matter. The purpose of this study is to evaluate how well students use mathematical literacy to solve problems that have been reviewed from SRL. This study employs a descriptive qualitative methodology. Three kids from class IX MTsN 3 Banda Aceh those with high, medium, and low SRL abilities were the study's subjects. Researchers, test questions for mathematical literacy, SRL questionnaires, and interview protocols served as the study's instruments. collecting data through interviews and written assessments. The three steps of data analysis procedures are data reduction, data presentation, and conclusion drawing. By administering STKLM-1 and STKLM-2 at various times, the data validity checking technique employs time triangulation. The study's findings demonstrated that participants with high SRL satisfied all three criteria for mathematical literacy: formulate, employ, and interpret. Only two literacy indicators formulate and employ were met by subjects with intermediate SRL; they were nevertheless unable to understand the results in light of the difficulty. Only the formulate indikator that is, articulating mathematical problems could be met by subjects with low SRL; they were nevertheless unable to fulfill the employ and interpret indicators.
Rehabilitación de alta complejidad en paciente con síndrome de Kelly con la técnica SDIB modificada. Reporte de un caso clínico
Authors: Urrutia Moreta Mauro Israel , Delgado Gaete Andrés Bolívar , Vélez Barros Jorge Luis , Palacios Vivar Diego Esteban
Published: February 2025

El síndrome combinado (SC) o también conocido como "síndrome de hiperfunción anterior" fue descrito por primera vez por Ellsworth Kelly en 1972. Es una condición dental comúnmente observada en pacientes con un maxilar completamente desdentado y una mandíbula parcialmente desdentada con dientes anteriores preservados. Se pueden observar cinco características clásicas del síndrome. Este informe describe el tratamiento de colocación de implantes cigomáticos en el maxilar desdentado utilizando la técnica ALL-ON-FOUR (AO4) y una mandíbula parcialmente desdentada que fue tratada con la misma técnica de implantes post-extracción. Y el mismo día se rehabilitó de manera exitosa el caso. Devolviendo estética y función. Se enfatiza la necesidad de un enfoque multidisciplinario para la prevención y el tratamiento temprano de esta condición compleja.
Approach to P16 and Ki-67 in the Cervical Intraepithelial Neoplasia staging
Authors: Kolotusha Valeriia , Khoperiya Viktoriia
Published: February 2025

cervical cancer is a tumor resulting from infection with high-risk human papillomavirus and develops from precursors within the epithelium, which are now referred to as squamous intraepithelial lesions or cervical intraepithelial neoplasias (SIL/CIN). CIN is categorized into CIN1, CIN2, and CIN3 depending on the degree of epithelial involvement. The treatment of patients with pre-invasive cervical lesions relies on the determined histological classification. The primary objective of this study was to thoroughly assess the relevance of immunohistochemical staining for the biomarkers p16 and Ki67 in the evaluation of cervical squamous intraepithelial lesions (SIL). This research aimed to elucidate the relationship between the levels of expression of these biomarkers and the various stages of cervical intraepithelial neoplasia (CIN). By analyzing the correlation between p16 and Ki67 expression and the severity of CIN lesions, the study seeks to enhance the understanding of these immunohistochemical markers' diagnostic and prognostic value in clinical practices for managing HPV-related cervical pathology. Materials and methods. We analyzed cases of women with suspected cervical neoplasia during cytology investigation. H&E-stained and IHC slides of all biopsy samples were reviewed and classified according to the criteria outlined by the LAST project. All histological samples were processed according to routine procedures. Results. We found, that p16 expression is divided into three groups: negative, strong and diffuse block-positive, and focal or patchy positive reaction. In cases histologically classified as CIN1, p16 showed inconsistent positivity with a moderate intensity. The glandular epithelium displayed clear signs of atypia, and p16 revealed inconsistent moderate positivity. Ki-67 was expressed in cells nuclear in the basal and parabasal layers of the squamous epithelium in all CIN stages. The results showed significant p16 and Ki67 expression differences among different groups of CIN. The expression levels of P16 and Ki-67 showed a positive correlation with the severity of cervical lesions and are very helpful for distinguishing CIN1 from CIN2 and CIN3. Conclusions. The expression levels indicating a consistent increase in expression that reflects the progression. Utilizing both P16 and Ki-67 can help identify patients at a higher risk for Squamous Cell Carcinoma (SCC). The applications of p16 and Ki-67 have proven to be important supplementary tools in evaluating the actual characteristics of these lesions. The staining results of p16 and Ki-67 across various histological grades of cervical lesions underscore their usefulness in validating histological diagnoses.
Comprehensive hygienic assessment of the conditions of pupils stay in the shelters of a general secondary education institution
Authors: Talabko Yuliia , Blagaia Anna
Published: February 2025

in connection with the beginning of a full-scale war of the aggressor country against Ukraine, staying in shelters and bomb shelters has, unfortunately, become an integral part of our lives. That is why it is very important that the premises allocated for these needs meet the minimum hygienic requirements, especially regarding educational institutions and pupils' health. The physical and chemical parameters of the environment of a typical shelter of a general secondary education institution (lighting, noise, vibration, air quality) were measured and assessed. The research methods used in our work are descriptive, content analysis, instrumental, full-scale hygienic experiment, sanitary examination, lighting, chemical, and statistical. The studied physical and chemical factors of the educational environment are important components for ensuring a healthy educational environment and an effective educational process. Appropriate assessment and management of the levels of physical and chemical parameters in school shelters are key to ensuring the quality of education and children's health in the educational process. Legislative aspects requiring intervention and correction measures were identified. Gaps in the legislative field were identified regarding the standardization of local vibration parameters for children in educational institutions both in peacetime in general and wartime in particular. During measurements using modern mobile equipment, it was possible to establish unsatisfactory parameters of local vibration that occurred at pupils’ workplaces while performing written tasks. If implemented, such a convenient mechanism for monitoring local vibration levels at their workplaces will allow timely interventional preventive measures to improve the condition of educational furniture in shelter rooms and common classrooms. Factors that deviated from the recommended values and may negatively affect the health of children and staff of secondary education institutions were identified. The noise level exceeded medical and sanitary standards, especially during the operation of power-generating equipment, which may negatively affect the health and concentration of students. The obtained noise indicators did not comply with the hygienic standards of State Sanitary Norms and Rules under the condition of operation of power generating equipment (the normative value should not exceed 40 dB). The maximum allowable concentration (MAC) of CO2 did not comply with the recommended values for general-purpose premises (within 0.07-0.1%), as it increased after classes, exceeding the recommended values for general-purpose premises. This may affect the health of schoolchildren and impair their attention during studies.
Quantum Probability for Statisticians: Some New Ideas
Authors: Helland Inge Svein
Published: February 2025

It is argued from several points of view that quantum probabilities might play a role in statistical settings. New approaches toward quantum foundations have postulates that appear to be equally valid in macroscopic settings. One such approach is described here in detail, while two others are briefly sketched. In particular, arguments behind the Born rule, which gives the basis for quantum probabilities, are given. A list of ideas for possible statistical applications of quantum probabilities is provided and discussed. A particular area is machine learning, where there exists substantial literature on links to quantum probability. Here, an idea about model reduction is sketched and is motivated from a quantum probability model. Quantum models can play a role in model reduction, where the partial least squares regression model is a special case. It is shown that for certain experiments, a Bayesian prior given by a quantum probability can be motivated. Quantum decision theory is an emerging discipline that can be motivated by this author’s theory of quantum foundations.
You Can’t Live Alone: Spatial Climate Change Shock and Economic Growth in the Largest Archipelagic State
Authors: Khaliq Abdul , Karimi Syafruddin , Taifur Werry Darta , Ridwan Endrizal
Published: February 2025

This study explores the effect of province-specific temperature and precipitation, which are expressed as deviancies of temperature and precipitation from historical data using the spatial Mankiw, Romer, and Weil (MRW) growth model. Performing a panel data set of 34 provinces covering the period from 2006 to 2022, this study predicts the nonlinear impact of climate change on per capita real output growth. We also show the inverted U-shaped curve from persistent changes in the temperature and precipitation on per capita real output growth either above or below its historical data. In the absenteeism of mitigation strategies, we found that an insistent increase in the average temperature or precipitation per year diminishes per capita real output growth. This study also explores climate change’s spatial impacts on economic growth performance through spatial lambda and rho parameters. We discovered the significant provincial spillover effect of climate change on economic growth. We also identify that increasing temperature and precipitation in provincial neighbors further decreased economic growth. Furthermore, this study conducts a robustness test by employing an open economy to meet the consistency of the baseline model. We reconfirm the empirical results of the baseline model.
Economic Impact of the Emission-Reduction Policy: GTAP-E Model
Authors: Wuri Josephine , Hardanti Yuliana Rini , Rubiyatno Rubiyatno , Ernawati Maria Theresia , Kristianti Ni Kadek Ayu
Published: February 2025

Increasing greenhouse gas (GHG) emissions is a severe global health and well-being problem. Countries around the world are striving to overcome climate change-related problems. This study analyzes the economic impact of Indonesia’s emission-reduction policy of a carbon tax along with B40 renewable energy and trade regulation policies. This study uses a general equilibrium approach with several simulations of the Global Trade Analysis Project-Energy (GTAP-E) model. The GTAP-E approach analyzes the interaction between trade and energy policies. The GTAP-E model can simulate specific policies in government plans to assess their impact on macroeconomic conditions, bilateral trade, and the energy sector. The study results show that emission-reduction and trade regulation policies decrease inflation rates, economic growth, and welfare. According to bilateral trade research, Indonesia’s crude palm oil (CPO) exports to India and China have increased, producing a trade surplus. This result demonstrates an increase in trade competitiveness despite trade regulations. These findings reveal that, while emission-reduction policies can impact economic growth in the short term, they can also boost international trade positions, support the transition to a low-carbon energy system, and achieve sustainable economic development.
The Impact of Carbon Tax Policies in Achieving the Ambitious Target of Net Zero Emissions 2060 in G20 Countries
Authors: Wahyudi Heru , Leny Sandra Mei
Published: February 2025

This research aims to explore the impact of carbon tax policies on reducing carbon emissions in G20 countries in achieving the ambitious target of Net Zero Emissions by 2060. This research uses the Pearson correlation test method and content analysis, the time period studied is 4 years. Based on data analysis, it is known that there is a negative and significant relationship between carbon taxes and carbon emission levels in G20 countries. These results support the hypothesis that carbon taxes are an effective policy instrument in reducing carbon emissions, where increasing carbon taxes has the potential to encourage substantial reductions in emissions. The effectiveness of carbon tax policies is influenced by the level of industrialization, commitment to environmental policy, and national strategy. Countries with higher carbon tax rates and consistent policy implementation, such as Japan and South Korea, have achieved more significant emissions reductions than countries with lower tax rates or limited implementation. This research emphasizes the importance of integrating carbon tax policies with a comprehensive climate change mitigation strategy, including investment in low-carbon technologies, increasing energy efficiency, and transitioning to renewable energy so that it can become an effective tool in directing the global economy towards environmental sustainability and achieving long-term climate targets long term, including Net Zero Emissions by 2060.
Techno-Economic Study of Solar Energy Implementation in Hospitals in Malaysia
Authors: Siow Chun Lim , Leao Hen Yew , Panneerselvem Anandan
Published: February 2025

As the demand for energy in hospitals continues to increase, there is a favorable opportunity for Malaysia to embrace solar energy. This research paper examines the potential of solar photovoltaic (PV) systems in hospitals by evaluating factors such as payback period, return on investment (ROI), and savings. A total of 42 hospitals in Malaysia were selected for the study and categorized as large, medium, and small based on their bed capacity. Initially, a background analysis of these hospitals is conducted, followed by an estimation of their rooftop area. Subsequently, the energy consumption of the hospitals is determined using the building energy index approach. The PVsyst software is utilized to simulate the energy output generated by solar PV systems. The findings reveal that two hospitals can fully meet their energy demand through solar energy generation, while the remaining 40 hospitals achieve average savings of 38.76%, 37.48%, and 52.58% for large, medium, and small hospitals, respectively. These results underscore the considerable benefits of implementing solar PV systems in a significant portion of the hospitals, with some being able to cover their entire energy requirements. In conclusion, this study provides valuable insights into the viability of solar PV systems in Malaysian hospitals.
Role of Solar Photovoltaic Energy in GHG Emission Reduction within Indonesia’s Long-Term Strategy for Low Carbon and Climate Resilience 2050
Authors: Tarigan Elieser
Published: February 2025

Indonesia’s Long-Term Strategy for Low Carbon and Climate Resilience 2050 (LTS-LCCR 2050) outlines ambitious goals for achieving a low- carbon and climate-resilient future, with solar photovoltaic (PV) energy playing a pivotal role. This paper explores the pathways, contributions, and challenges associated with achieving the target of 113 GW of installed solar PV capacity by 2050. Using a comprehensive methodology, the study examines solar energy potential, trends in PV deployment, greenhouse gas (GHG) emission reductions, and scenarios for target achievement. Findings highlight that transitioning to solar PV could reduce GHG emissions by approximately 794.87 million tons of CO2 annually by replacing coal-based electricity. Three deployment scenarios are analyzed: constant growth, gradual ramp-up, and aggressive early deployment, each presenting unique challenges and opportunities. Key barriers include financial constraints, technical limitations, regulatory hurdles, and public acceptance issues. The study concludes that achieving the target requires strong policy frameworks, significant investments, and technological innovation. Solar PV has the potential to transform Indonesia’s energy sector, contributing to national climate goals and sustainable development.
On the Latin America Evidence for the Environmental Kuznets Curve: A Two-Stage Approach using K-means Clustering and Polynomial Regression
Authors: Jiménez-Preciado Ana Lorena , Álvarez-García José , Cruz-Aké Salvador , Venegas-Martínez Francisco
Published: February 2025

This paper uses a two-stage methodological approach to analyze the existence and shape of the Environmental Kuznets Curve (EKC) hypothesis across 19 Latin American countries from 2000 to 2020. First, K-means clustering is used to categorize countries based on their economic development, environmental efficiency, energy sustainability and technical efficiency characteristics. This clustering reveals five distinct groups: transitioning economies, resource-dependent economies, industrial economies, early transition economies, and advanced economies. Subsequently, polynomial regressions are estimated within each cluster to analyze the specific EKC relationships. The results demonstrate significant heterogeneity in the growth- environmental relationship across clusters, with coefficients of determinations ranging from 0.20 to 0.94. While some countries exhibit traditional inverted U-shaped relationships, others show different patterns, including U-shaped and linear relationships. The turning points at which environmental degradation (CO2 emissions) begins to decrease vary substantially, from 1,722 USD in Panama to 241,024 USD in Venezuela, in per capita terms, highlighting diverse development trajectories. The empirical findings obtained suggest that the EKC relationship in Latin America is more complex than traditionally assumed and varies significantly based on countries’ development stages and structural characteristics. These results have important implications for environmental policy design, suggesting the need for cluster-specific approaches rather than one-size-fits-all solutions.
How Energy Constraints Drive Firms’ Participation in the Global Value Chain? International Evidence
Authors: Nguyen Thuy Thi Cam , Luong Dat Van , Ngo Hoang Thu , Doan Thang Ngoc
Published: February 2025

This study explores how energy constraints affect firms’ participation in global value chains (GVCs). Drawing on extensive plant-level data from the World Bank Enterprise Survey, covering the manufacturing sector in 119 countries from 2005 to 2022, the analysis reveals that energy constraints significantly hinder firms’ ability to engage in GVCs. This adverse effect is primarily driven by reduced productivity, increased energy expenses, and diminished investments in machinery. However, the impact is not uniform, varying by time periods, firm sizes, sectors, and regions. Smaller firms and those in energy-intensive industries are particularly vulnerable, while regional differences underscore the role of infrastructure quality and the effectiveness of energy policies. The robustness of the findings is verified using alternative measures and approaches that mitigate potential endogeneity concerns. These insights provide important policy implications aimed at enhancing firms’ participation in GVCs through targeted energy infrastructure and policy improvements.
Examining the Factors Enhancing Green Growth in BRICS Economies: Interplay between Economic Globalization, Renewable Energy Use, and Government Efficiency
Authors: Neffati Mohamed , Khemiri Imen
Published: February 2025

Studying economic green growth (EGG) and identifying its drivers have always been crucial for understanding Arabia’s sustainable economic development. Given Arabia's extensive economic globalization process, potential impacts on the country's green growth include government effectiveness and inward energy consumption. This study examines the effects of globalization, renewable energy, and institutional quality on green growth across BRICS+ countries from 1996 to 2021. This research mainly empirically explores that economic development, institutional quality, and globalization generally support green growth, while renewable energy offers long-term benefits despite short-term challenges. Non-renewable energy and environmental factors like population growth and forest areas have mixed or context-dependent impacts. Policies aimed at advancing renewable energy and improving energy efficiency have proven highly effective in reducing emissions. However, careful management is necessary to mitigate the environmental impact of free trade and dependence on non-renewable energy sources.
Impact of Crude Oil Price Volatility on Procurement and Inventory Strategies in the Middle East
Authors: Mohammad Suleiman Ibrahim Shelash , Al-Daoud Khaleel Ibrahim , Al Oraini Badrea Saleh , Alqahtani Menahi Mosallam , Vasudevan Asokan , Ali Imad
Published: February 2025

Crude oil price volatility is a critical factor influencing procurement costs and inventory management in oil-dependent industries. This study examines the impact of crude oil price fluctuations on procurement expenses and inventory turnover, providing empirical insights into how businesses respond to oil market uncertainties. Given the direct link between oil price changes and supply chain costs, understanding these relationships is essential for developing risk mitigation strategies and enhancing supply chain resilience. The study employs time series analysis (ARIMA), econometric modelling (multivariate regression), and sensitivity analysis to quantify the effects of crude oil price volatility on procurement and inventory decisions. Data from multiple firms across industries were analysed to assess how fluctuations in oil prices influence procurement expenses, inventory turnover, and firm-level procurement strategies. Results indicate that higher crude oil price volatility leads to a significant increase in procurement costs, with an estimated impact of $3.96 million per unit increase in volatility. Additionally, inventory turnover declines as oil price volatility rises, as firms tend to hold onto stock longer to hedge against price uncertainty. Larger firms experience higher procurement costs but benefit from economies of scale, while smaller firms rely on agility and flexible sourcing strategies to manage cost fluctuations. The findings emphasize the need for predictive analytics, supplier diversification, and adaptive inventory management to mitigate procurement risks. Businesses must adopt data-driven procurement strategies and AI-driven forecasting models to navigate crude oil price uncertainties effectively. Future research should explore industry-specific procurement trends and the role of sustainability in reducing oil price dependencies.
Pola zonasi mangrove di wilayah Rawajitu Kabupaten Tulang Bawang Provinsi Lampung
Authors: Irawan Sandy Erggi , Duryat Duryat , Riniarti Melya , Yuwono Slamet Budi , Maryono Tri , Rodiani Rodiani
Published: February 2025

Ekosistem mangrove memiliki keunikan yaitu adanya zonasi yang khas dan membedakannya dengan vegetasi terestrial. Penelitian ini bertujuan untuk mengetahui pola zonasi mangrove di Rawajitu, Kabupaten Tulang Bawang, Provinsi Lampung. Penarikan sampel dilakukan dengan metode klaster sampling, hal ini didasari pada kenyataan bahwa kondisi mangrove pada lokasi penelitian memiliki keragaman dalam hal substrat, pasokan air tawar, dan kondisi arus laut. Pada masing-masing klaster diletakan plot contoh berbentuk garis berpetak yang diawali dari bagian terluar yang paling dekat dengan lautan sampai dengan daratan. Data ditabulasi dan dikelompokkan berdasarkan spesies penyusun vegetasi utama pada setiap zona. Analisis data dilakukan secara deskriptif analitik. Hasil penelitian menunjukan bahwa hutan mangrove di Rawajitu tergolong pola zonasi lengkap yaitu zona luar dengan vegetasi penyusun Avicennia marina, Sonneratia caseolaris, zona tengah dengan vegetasi penyusun Rhizophora mucronata, zona nipah dengan penyusun Nypa fruticans dan vegetasi penyusun zona darat (Excoecaria agallocha dan Hibiscus tiliaceus).
The Role of Artificial Intelligence in Revolutionizing Online Gaming: Innovations, Challenges, and Future Prospects
Authors: Ravali Kandur
Published: February 2025

The integration of Artificial Intelligence in online gaming has revolutionized the interactive entertainment landscape, transforming how games are developed, experienced, and evolved. This article examines the multifaceted impact of AI technologies across various aspects of gaming, from player experience systems to technical infrastructure. The article explores how AI-driven adaptive gameplay mechanisms, procedural content generation, and sophisticated NPC intelligence systems are reshaping player interactions and game development processes. The article investigation delves into the technical challenges and ethical considerations surrounding AI implementation in gaming, including security concerns, algorithm bias, and data protection. The article highlights the emergence of advanced development tools, optimization techniques, and performance enhancement systems that are fundamentally changing how games are created and maintained. Through analysis of current implementations and future trends, this article provides insights into how AI is not only enhancing gaming experiences but also opening new avenues for computational social science, education, and behavioral research in virtual environments.
Enhancing Observability in Distributed Environments through AI: A Structured Overview
Authors: Abhishek Walia
Published: February 2025

This article provides a comprehensive overview of how Artificial Intelligence (AI) is revolutionizing observability in distributed environments. It explores the diverse applications of AI in enhancing system monitoring, management, and maintenance across complex, interconnected IT infrastructures. The article delves into key areas where AI makes significant contributions, including intelligent monitoring, advanced anomaly detection, sophisticated data correlation across systems, predictive maintenance, automated remediation, and continuous improvement. By examining these aspects, the article demonstrates how AI-driven observability solutions are addressing current challenges in managing distributed systems while also paving the way for more resilient, efficient, and adaptive IT environments. The discussion encompasses various AI techniques and models, such as machine learning algorithms, neural networks, and time-series analysis methods, illustrating their practical applications in improving system performance, reducing downtime, and optimizing resource utilization. Ultimately, this article underscores the transformative potential of AI in observability, highlighting its role in enabling proactive, scalable, and intelligent management of distributed systems in an increasingly digital world.
The Impact of Clinical Pharmacy Services on the Rational Use of Cephalosporins
Authors: Wang Xiaohua , Ma Jianjun , Meng Lei , Hu Yongqiang , Sun Yujie
Published: February 2025

Objective: To study the impact of clinical pharmacy services on the rational use of cephalosporin drugs during the process. Methods: Fifty patients treated in our hospital who needed to receive cephalosporin drugs (from January 2023 to April 224) were selected as the research samples. They were divided into the control group and the observation group according to the random method, with 25 patients each group. The observation group received clinical pharmacy services, while the control group did not. The differences in various prescription drug scores and the incidence of adverse reactions were between the two groups. Results: In the comparison of various prescription drug scores, the data for the observation group were higher than those for the control group (P＜0.05). The incidence of adverse reactions in the observation group was lower than that in the control group (P<0.05). Conclusion: pharmacy services play an important role in promoting the rational use of cephalosporin drugs, effectively improving the rationality of prescription drugs and further reducing the probability adverse reactions.
Application Effectiveness Evaluation of Core Competency-Based Teaching Model in Obstetrics Nursing Education
Authors: Li Xixi
Published: February 2025

Objective: To explore the application effectiveness of a core competency-based teaching model in obstetrics nursing education. Methods: A total of 20 nursing staff members were selected from April 2023 to April 2024 and randomly assigned into an observation group and a control group, with 10 participants in each group. The control group received conventional teaching, while the observation group was taught using the core competency-based teaching model. The core competencies, teaching quality, professional identity, and satisfaction of the two groups were compared. Results: The observation group scored higher in all five core competency categories compared to the control group (P<0.05). The observation group also received higher scores in all five categories related to teaching quality (P<0.05). The observation group’s professional identity scores were higher than those of the control group (P<0.05). The satisfaction rate in the observation group was 100.00%, significantly higher than the control group’s 60.00% (P<0.05). Conclusion: The teaching model used in the observation group significantly improved the core competencies of nursing staff, enhanced overall teaching quality, and increased professional identity and satisfaction, making it worth promoting and applying.
Data-Driven Educational Decision-Making: How to Enhance Educational Quality and Management Efficiency
Authors: Jin Rounan , Peng Yan , Wang Zheng , Wang Juan , Tang Jianjuan , Zhang Meiqin
Published: February 2025

This study focuses on the impact of data-driven educational decision-making on improving educational quality and management efficiency. With the rapid development of big data technology, the education field faces unprecedented opportunities and challenges. The research first elucidates the concept of educational big data and its importance in educational decision-making, then delves into the current status of educational big data applications, including issues related to data quality, technological infrastructure, and policy regulations. Based on this analysis, strategies are proposed to improve data collection and integration mechanisms, balance data-driven approaches with educational essence, and advance the application of educational big data in national strategies, aiming to provide feasible pathways for enhancing educational quality and management efficiency. The research results indicate that data-driven educational decision-making can significantly improve teaching precision, resource allocation efficiency, and management scientificity. However, it also emphasizes the importance of avoiding over-reliance on data, protecting privacy, and respecting educational principles. This study provides theoretical foundations and practical guidance for educational decision-makers, managers, and researchers, holding significant importance for promoting educational modernization and building a strong education system.