bluuebunny/crossref_metadata_2025 huggingface dataset:
Authentic Intelligence Mixtapes: DJs and producers’ communal radical archiving and teaching in the age of AI
Authors: Adu-Gilmore Leila
Published: November 2024

Black and indigenous musics continue to evolve and dominate global markets and cultural spheres, notwithstanding a history of intellectual property theft and cultural appropriation. DJs and producers (by way of sampling or extrapolation) have played archival roles outside traditional music archiving. Colonial invasions and the transatlantic slave trade, as well as academic neocolonialism, displaced cultural histories imparted through oral traditions. The Black radical tradition resists global corporate capitalism, even within a music industry that emphasises stereotypical Black tropes for profit. Without regulation, the practices of museums, the education system and the music industry will be exacerbated by the development of recommendation systems and artificial intelligence (AI). Hence, in communities that have already suffered unjust intellectual and cultural property theft, I recognise and re-centre the archiving musico-cultural role that DJs and producers have historically played.
BOUNDEDNESS OF DIFFERENTIAL TRANSFORMS FOR FRACTIONAL HEAT SEMIGROUPS GENERATED BY SCHRÖDINGER OPERATORS
Authors: LI PENGTAO , LIU YU , WANG ZHIYONG
Published: November 2024

Let

$L=-\Delta +V$

be a Schrödinger operator in

${\mathbb R}^n$

with

$n\geq 3$

, where

$\Delta $

is the Laplace operator denoted by

$\Delta =\sum ^{n}_{i=1}({\partial ^{2}}/{\partial x_{i}^{2}})$

and the nonnegative potential V belongs to the reverse Hölder class

$(RH)_{q}$

with

$q>n/2$

. For

$\alpha \in (0,1)$

, we define the operator

$$ \begin{align*} T_N^{L^{\alpha}} f(x) =\sum_{j=N_1}^{N_2} v_j(e^{-a_{j+1}L^\alpha} f(x)-e^{-a_{j}L^\alpha} f(x)) \quad \mbox{for all }x\in \mathbb R^n, \end{align*} $$

where

$\{e^{-tL^\alpha } \}_{t>0}$

is the fractional heat semigroup of the operator L,

$\{v_j\}_{j\in \mathbb Z}$

is a bounded real sequence and

$\{a_j\}_{j\in \mathbb Z}$

is an increasing real sequence.

We investigate the boundedness of the operator

$T_N^{L^{\alpha }}$

and the related maximal operator

$T^*_{L^{\alpha }}f(x):=\sup _N \vert T_N^{L^{\alpha }} f(x)\vert $

on the spaces

$L^{p}(\mathbb {R}^{n})$

and

$BMO_{L}(\mathbb {R}^{n})$

, respectively. As extensions of

$L^{p}(\mathbb {R}^{n})$

, the boundedness of the operators

$T_N^{L^{\alpha }}$

and

$T^*_{L^{\alpha }}$

on the Morrey space

$L^{\rho ,\theta }_{p,\kappa }(\mathbb {R}^{n})$

and the weak Morrey space

$WL^{\rho ,\theta }_{1,\kappa }(\mathbb {R}^{n})$

has also been proved.
John Hart Ely would disown Comparative Political Process Theory, Dobbs, and most his other intellectual heirs (or maybe not)
Authors: Tiojanco Bryan Dennis G.
Published: November 2024

He seemed to enjoy portraying himself as mostly without allies – a principled contrarian. This was central to his self-consciousness. And John was very conscious of himself.1
Case Salience in the State Supreme Courts: A Research Update
Authors: Vining Richard L. , Wilhelm Teena , Hendricks-Benton Alyson
Published: November 2024

In this research, we update the measure of case salience for state supreme courts originally developed by Vining and Wilhelm (2011). The original measure was compatible with the Brace-Hall State Supreme Court Data Project (SSCDP) and covered 1995 through 1998. Our updated measure is now compatible with the Hall–Windett Data on State Supreme Court Outcomes (2013), a more contemporary source for state supreme court information. Here we discuss the new dataset of salient cases from 1995 to 2019 and provide descriptive statistics.
Packing State Supreme Courts: Analyzing the Dynamics of State Supreme Court Expansion
Authors: Zschirnt Simon
Published: November 2024

Court restructuring has become a salient national political issue, with proposals to increase the number of justices on the US Supreme Court gaining traction in response to various Court controversies. However, relatively little attention has been paid to state-level efforts, some successful, to increase the number of justices on state supreme courts. Although the number of justices on the US Supreme Court has not been changed since 1869, the size of most state supreme courts has been less stable. To place recent state supreme court expansions into context, this article analyzes the historical dynamics of state supreme court expansion. Analyzing an original dataset that includes every change made to the size of a state supreme court since 1789, it finds that court expansion has been more likely when the political competitiveness of a state is low and when state judicial selection and retention systems provide for lower levels of judicial independence.
Verschwiegene Not
Authors: Müller Karl
Published: November 2024

Inkontinenz – wieder mobil und ohne Angst!

Rund 12 Millionen Menschen in Deutschland leiden unter einer Blasen- und Darmschwäche oder einem Reiz-
darmsyndrom. Die Probleme der Betroffenen, ihre Angst und ihre Scham, werden weitgehend tabuisiert.

Die meisten Betroffenen verschweigen ihre Not. Sie befürchten ein Malheur und leiden qualvoll, wenn es passiert. Die Folgen: Scham, sozialer Rückzug und Depressionen.

Der diplomierte Psychologe und Verhaltenstherapeut Karl Müller bricht mit diesem Buch das Tabu und die Sprachlosigkeit. Er liefert viele praktische Hilfen, wie ein Malheur verhindert und bewältigt werden kann.
Er gibt außerdem konkrete Vorschläge, wie sowohl präventiv als auch in und nach schwierigen Situationen kommunikativ mit einem Malheur umgegangen werden kann.

Zudem thematisiert der Autor die gravierenden Folgen von Angstreaktionen. Er zeigt hilfreiche Strategien,
wie offen mit Inkontinenz umgegangen werden kann und Mobilität und Würde zurückgewonnen werden können.

Sonderteil: Wussten Sie, dass die meisten Entschei-dungen, die Sie treffen, schon feststehen, bevor Ihnen das bewusst wird? Dass Ihre Reaktionen auf Anpassung und Überleben gerichtet sind? Der Autor beschreibt dieses Verhaltens- und Therapiemodell mit Beispielen zur Inkontinenz.
Erfolgreich zum Medizinstudium
Authors: Ruthven-Murray Patrick
Published: November 2024

Der Wettbewerb um die vorhandenen Studienplätze für medizinische Fächer ist sehr groß. Grundsätzlich kann es jede Abiturientin und jeder Abiturient schaffen, Medizin zu studieren. Die Frage ist allerdings, wie, wann und wo man sich einen Studienplatz sichern kann. Dieser Leitfaden bietet Hilfestellungen, um die aktuelle Bewerbungssituation richtig einzuschätzen und zeigt Wege auf, wie es möglich ist, zeitnah einen Studienplatz für Human- oder Zahnmedizin in Deutschland oder im Ausland zu erhalten.
Es wird ausführlich erläutert, wie die Bewerbung über hochschulstart.de abläuft, nach welchen Quoten Studienplätze vergeben werden und welche Kriterien bei den Auswahlverfahren der Hochschulen (AdH) oder in der zuätzlichen Eignungsquote (ZEQ) Berücksichtigung finden. Die Studienplatzklage, die Teilnahme an Losverfahren, das Studium bei der Bundeswehr oder an einer privaten Universität sowie ein Medizinstudium im Ausland sind weitere alternative Möglichkeiten, dem Wunschberuf näher zu kommen.
In der 3. Auflage dieses Buches werden mit der Landarztquote und der Quote für den öffentlichen Gesundheitsdienst relevante politische Neuerungen aufgegriffen. Zudem wurden alle Angaben u. a. zum Bewerbungsprozess, den Auswahlkriterien und den Medizinstandorten in Deutschland und im Ausland auf den aktuellen Stand gebracht. Hinzugekommen sind außerdem Tipps zur Entwicklung einer sinnvollen Bewerbungsstrategie und zur Vorbereitung auf die verschiedenen Auswahlverfahren. Eine Liste mit hilfreichen Internetseiten kann nach erfolgter Registrierung von der Hogrefe Webseite heruntergeladen werden.
ICD-11 Personality Disorders
Authors: Bach Bo , Simonsen Sebastian
Published: November 2024

This insightful book offers professionals a comprehensive guide for navigating the new way of diagnosing and understanding personality difficulties and disorders introduced in the ICD-11. Through in-depth clinical examples, these experienced authors illustrate clearly how to determine severity, specify the five trait domains, and interpret aspects of personality dysfunction, including specific combinations of trait domains. The book also provides guidelines for differential diagnosis in relation to a range of other persistent mental disorders, clinical decision- making, individualized treatment planning, necessary treatment intensity, and psychotherapeutic focus. Readers will appreciate the exploration of available standardized instruments for classification, as well as the guide using the old classifications in the ICD-10 and the DSM-5 with the ICD-11 guidelines in the appendix. This book provides a roadmap for psychologists, psychiatrists, other mental health professionals, and students to use the latest advancements in classification to enhance patient care of people with personality disorders.
A Comparative Analysis of Satellite‐Derived CO Retrievals During the 2020 Wildfires in North America
Authors: Marey Heba S. , Drummond James R. , Jones Dylan B. A. , Worden Helen , Clerbaux Cathy , Borsdorff Tobias , Gille John
Published: November 2024

In September 2020, the Western United States experienced anomalously severe wildfires that resulted in carbon monoxide (CO) emissions almost three times the 2001–2019 average. In this study, we investigate the influence of wildfires on atmospheric carbon monoxide (CO) variability through a comparative analysis of observations from the Measurements of Pollution in the Troposphere (MOPITT), the Infrared Atmospheric Sounding Interferometer (IASI), and the Tropospheric Monitoring Instrument (TROPOMI). Our focus is on the North American domain, aiming to understand the differences among these products. In general, all instruments show excellent agreement under typical atmospheric CO conditions. However, notable discrepancies were observed in the CO data from the three sensors, particularly in regions with elevated CO total column (TC) values. IASI and TROPOMI consistently showed higher CO values over the western U.S. compared to MOPITT. During the fire episodes, we found that the IASI retrievals suggested higher CO abundances near the surface than the MOPITT thermal infrared retrievals that are probably the result of the differences in the covariance matrices used in IASI and MOPITT retrievals. We also found that the high IASI and TROPOMI CO observations over the western U.S. coincided with high values of the TROPOMI aerosol index (AI), suggesting the presence of absorbing aerosols. The analysis exhibited better agreement between TROPOMI and MOPITT CO TC when the AI values were low. Our results suggest that appropriate quality filtering should be employed when analyzing pollution events with these data. In particular, utilizing the AI for quality filtering may be useful when analyzing extreme pollution events with these satellite products.
Compound Flooding Hazards Due To Storm Surge and Pluvial Flow in a Low‐Gradient Coastal Region
Authors: Han Sunghoon , Tahvildari Navid
Published: November 2024

Flood risk analyses often focus on a single flooding source, typically storm surge or rainfall‐driven flooding, depending on the predominant threat. However, hurricanes frequently cause compound flooding through significant storm surges accompanied by heavy rainfall. This study employs a hydrodynamic model based on Delft3D‐Flexible Mesh that couples flow, waves, and rainfall‐driven flow to simulate five historical tropical cyclones in Virginia's southeast coastal region. These storms produced varying intensities of storm surge and rainfall in the study area. Model simulations, incorporating rainfall through a rain‐on‐grid approach, account for the dynamic interaction between storm tides, and pluvial flow and enable the definition of flood zones as hydrologic, transitional, and coastal zones. This compound flooding model was validated with water level data from in‐water and overland gauges. The results indicate that the magnitude of the coastal zone correlates strongly with the extent of the surge‐inundated area (SIA) obtained from simulations that only considered storm surges. The extent of the transitional zone correlates strongly with the product of SIA and total rainfall. As an additional measure for flood hazards besides water depth, we calculated flow momentum flux at different flood zones to assess potential damage from hydrodynamic loads on structures, vehicles, and pedestrians. A strong correlation was found between the magnitude of the surge and momentum flux. Furthermore, high rainfall rates and winds can cause a significant increase in momentum flux locally. Understanding flood zones and their flow dynamics helps to identify effective flood risk management strategies that address the dominant flood driver.
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
Authors: Üstek İrem , Arana‐Catania Miguel , Farr Alexander , Petrunin Ivan
Published: November 2024

Wildfires pose a significantly increasing hazard to global ecosystems due to the climate crisis. Due to its complex nature, there is an urgent need for innovative approaches to wildfire prediction, such as machine learning. This research took a unique approach, differentiating from classical supervised learning, and addressed the gap in unsupervised wildfire prediction using autoencoders and clustering techniques for anomaly detection. Historical weather and normalized difference vegetation index data sets of Australia for 2005–2021 were utilized. Two main unsupervised approaches were analyzed. The first used a deep autoencoder to obtain latent features, which were then fed into clustering models, isolation forest, local outlier factor and one‐class support vector machines for anomaly detection. The second approach used a deep autoencoder to reconstruct the input data and use reconstruction errors to identify anomalies. Long Short‐Term Memory autoencoders and fully connected (FC) autoencoders were employed in this part, both in an unsupervised way learning only from nominal data. The FC autoencoder outperformed its counterparts, achieving an accuracy of 0.71, an F1‐score of 0.74, and an MCC of 0.42. These findings highlight the practicality of this method, as it effectively predicts wildfires in the absence of ground truth, utilizing an unsupervised learning technique.
The Nonlinear and Distinct Responses of Ocean Heat Content and Anthropogenic Carbon to Ice Sheet Freshwater Discharge in a Warming Climate
Authors: Gorte Tessa , Lovenduski Nicole S. , Nissen Cara , Lenaerts Jan T. M. , Weiss Jeffrey B.
Published: November 2024

Anthropogenic climate change will drive extensive mass loss across both the Antarctic (AIS) and Greenland Ice Sheets (GrIS), with the potential for global climate system feedbacks, especially in polar regions. Historically, the high‐latitude North Atlantic and Southern Ocean have been critical regions for anthropogenic heat and carbon uptake, but our understanding of how this uptake will be altered by future freshwater discharge is incomplete. We assess each ice sheet's impact on global ocean anthropogenic heat and carbon storage for a high‐emission scenario over the ‐century using a coupled Earth system model. We explore the impact of contemporaneous mass loss from both ice sheets on anthropogenic heat and carbon storage and quantify their linear and nonlinear contributions. Notably, added freshwater reduces ocean heat and carbon storage by 2,100, and the sum of individual freshwater effects differ from those induced by simultaneous freshwater discharge from both ice sheets. Combined AIS and GrIS freshwater engenders distinct anthropogenic storage anomalies—particularly in the high‐latitude Southern Ocean and North Atlantic. From 2080 to 2100, GrIS freshwater exerts primary control on the temporal evolution of global ocean heat storage, while global ocean carbon storage is modulated by the linear AIS and GrIS freshwater impacts. Nonlinear impacts of simultaneous ice sheet discharge have a non‐negligible contribution to the evolution of global ocean heat storage. Further, anthropogenic heat changes are realized more quickly in response to ice sheet discharge than anthropogenic carbon. Our results highlight the need to incorporate both ice sheets actively in climate models to accurately project future global climate.
Could a Low‐Frequency Perturbation in the Earth's Magnetotail Be Generated by the Lunar Wake?
Authors: Nykyri K. , Di Matteo S. , Archer M. O. , Ma X. , Hartinger M. D. , Sarantos M. , Zesta E. , Paterson W. R.
Published: November 2024

Both ground based magnetometers and ionospheric radars at Earth have frequently detected Ultra Low Frequency (ULF) fluctuations at discrete frequencies extending below one mHz‐range. Many dayside solar wind drivers have been convincingly demonstrated as driver mechanisms. In this paper we investigate and propose an additional, nightside generation mechanism of a low frequency magnetic field fluctuation. We propose that the Moon may excite a magnetic field perturbation of the order of 1 nT at discrete frequencies when it travels through the Earth's magnetotail 4–5 days every month. Our theoretical prediction is supported by a case study of ARTEMIS magnetic field measurements at the lunar orbit in the Earth's magnetotail. ARTEMIS detects statistically significant peaks in magnetic field fluctuation power at frequencies of 0.37–0.47 mHz that are not present in the solar wind.
Global Solar Droughts Due To Supply‐Demand Imbalance Exacerbated by Anthropogenic Climate Change
Authors: Lei Yadong , Wang Zhili , Xu Yangyang , Yu Xiaochao , Tian Chenguang , Li Zhibo , Li Lei , Zhong Junting , Guo Lifeng , Liu Lin , Wang Deying , Che Huizheng , Zhang Xiaoye
Published: November 2024

Solar power will become the largest renewable energy source, contributing to global carbon neutrality. In addition to the well‐recognized temporal intermittency of solar energy supply, the local energy demand to cope with extreme weathers can further stress the energy grid; both the supply and demand can be greatly influenced by future climate change. Here, we redefine solar drought events by considering supply demand imbalance in solar power. Observation and multi‐model simulations reveal an anthropogenic exacerbation of global solar drought frequency in the past three decades. Moreover, compared to the pathway SSP2‐4.5, the carbon neutrality pathway SSP1‐2.6 can mitigate the increasing frequency and severity of solar droughts by 60% and 63% in the 2090s, respectively. Our study suggests a co‐benefit of solar energy stability and security toward carbon neutrality, especially in developing nations where the local supply demand imbalance is a major issue.
Variation of Modified Combustion Efficiency and Its Impact on Biomass Burning Emission Estimation in Africa
Authors: Fang Xinzhu , Wang Zilin , Huang Xin , Xue Lian , Hua Wenxuan , Lou Sijia , Ding Ke , Ding Aijun
Published: November 2024

Biomass burning (BB) is one of the largest sources of trace gases and primary carbonaceous particles in the global troposphere, posing great impacts on air quality and regional climate. Accurate quantification of BB emissions is vital for assessing its environmental and climate impacts. However, there are still large uncertainties in current BB emission inventories due to poorly characterized emission rates under different combustion states. The fixed emission factor (EF) instead of varying EF associated with different combustion efficiencies may be the reason for the bias. Here, based on satellite‐retrieved carbon dioxide (CO2) and carbon monoxide (CO), the modified combustion efficiency (MCE) is derived for fire‐prone regions in Africa. The monthly and inter‐annual variability of MCE shows a good correlation with meteorological variables such as relative humidity. Therefore, variable EF was established based on its statistical relationship with MCE for different fire‐emitted species. Application of such MCE‐dependent EF in the global climate‐chemistry model can greatly improve the performance of wildfire smoke pollution during the fire season, indicated by an increase of 31% in aerosol optical depth (AOD) and a 50% reduction in normalized mean bias compared with AOD observations. The study elucidates the critical role of meteorology in BB emission estimates and highlights the importance of implementing a dynamic fire emission inventory in response to meteorological conditions.
Influence of Klein edges on Phononic and electronic transport in circular graphene devices
Authors: Bazrafshan M. Amir , Khoeini Farhad , Szafran Bartłomiej
Published: November 2024

We study the electron and phonon transport coefficients of graphene disks and rings in the presence of Klein edges. We examine the transport characteristics by changing of the outer and inner radius using the non-equilibrium Green’s function approach. We find that the effect of the nanodisk radius is highly influenced by the Klein edges, such that at small radii, armchair Klein edges can help preserve the electronic transport coefficient from suppression, while zigzag Klein edges significantly suppress the transmission spectrum, highlighting the importance of the edge atom sublattice. The behavior is also observed in cases where only one side of the circular disk is preserved, showing that it is not rooted in the symmetric geometry of the circle. The value of the outer radius has a more regular influence on the electronic conductance than the value of the inner one. However, in the examined sizes, the phononic spectrum does not exhibit a clear dependence on the edges. Our results contribute to the understanding of the behavior of Klein edges, which is crucial for the design of high-performance nanoscale electronic devices, the creation of stable qubits for advances in quantum computing.
Magnetic Measurement
Authors: Ohba Masaaki , Mito Masaki
Published: November 2024

Magnetic measurements for the study of metal complexes and molecular-based magnets are reviewed as well as analytic methods and theoretical background. The measurement principles are explained covering a wide range of magnetic measurements including commercial magnetic measurement systems. As special magnetic measurements, the measurement techniques for high pressure experiments and higher-order magnetic responses are also explained.
To crop or not to crop: Comparing whole‐image and cropped classification on a large dataset of camera trap images
Authors: Gadot Tomer , Istrate Ștefan , Kim Hyungwon , Morris Dan , Beery Sara , Birch Tanya , Ahumada Jorge
Published: November 2024

Camera traps facilitate non‐invasive wildlife monitoring, but their widespread adoption has created a data processing bottleneck: a camera trap survey can create millions of images, and the labour required to review those images strains the resources of conservation organisations. AI is a promising approach for accelerating image review, but AI tools for camera trap data are imperfect; in particular, classifying small animals remains difficult, and accuracy falls off outside the ecosystems in which a model was trained. It has been proposed that incorporating an object detector into an image analysis pipeline may help address these challenges, but the benefit of object detection has not been systematically evaluated in the literature. In this work, the authors assess the hypothesis that classifying animals cropped from camera trap images using a species‐agnostic detector yields better accuracy than classifying whole images. We find that incorporating an object detection stage into an image classification pipeline yields a macro‐average F1 improvement of around 25% on a large, long‐tailed dataset; this improvement is reproducible on a large public dataset and a smaller public benchmark dataset. The authors describe a classification architecture that performs well for both whole and detector‐cropped images, and demonstrate that this architecture yields state‐of‐the‐art benchmark accuracy.
Hardware architectures for computing the cosine transforms over the finite field F28$\mathbb {F}_{2^8}$
Authors: de Oliveira Neto José R. , Coutinho Vítor A.
Published: November 2024

This article presents hardware architectures for computing four types of the 8‐point cosine transforms over the finite field . The proposed architectures utilize three distinct approaches, described in SystemVerilog, and are synthesized on a field‐programmable gate array (FPGA) SoC platform. To implement the design, an improved version of a standard multiplier is presented by precomputing the required constants, thereby reducing hardware complexity. The system is integrated as a memory‐mapped Dual Core Cortex A9 peripheral to test the proposed architecture in the employed FPGA SoC. Among the three proposed architectures, one can choose to work up to 218.39 MHz, using 626 Logic Elements (LE) and 608 one‐bit registers; work up to 171 MHz, using 313 LE and 128 one‐bit registers; or work up to 197.36 MHz, at the cost of 350 LE and 293 one‐bit registers.
Modelling and management of flexible residential building components using system based heuristic approaches
Authors: Yelisetti Srinivas , Saini Vikash Kumar , Kumar Rajesh , Heydarian‐Forushani Ehsan , Al Sumaiti Ameena S.
Published: November 2024

The building energy management system (BEMS) components, that is, the heating, ventilation, and air conditioning (HVAC) systems, refrigerators, and lighting significantly impact energy consumption. This paper presents the modelling, including HVAC and refrigerator with interior heat and external illuminus of lighting for residential buildings. The energy consumption of these components has been examined using eight meta‐heuristic algorithms with weather conditions of five cities in India. The statistical and box‐plot analysis results recommended the original artificial ecosystem algorithm compared to others for energy management. The results of the proposed smart residential building have been compared with the published model results of a residential building with and without BEMS and an economic analysis has also been carried out. The simulation results show that the maximum load has been shifted to off‐peak durations. The energy savings in the proposed BEMS compared to existing BEMS and without BEMS are 34% and 57%, respectively.
Telescope Farms in Chile and the History of the Hacienda of Stars
Authors: Le Boudec Patrice
Published: November 2024

The popularization and exceptional improvement of amateur astronomy equipment has democratized astrophotography, making it possible to achieve nearly professional-quality shots. Some enthusiasts even install internet-controlled telescopes under the world’s most beautiful skies, such as those in Chile.
Application of raman micro-spectroscopy for quantitative microplastics analysis
Authors: Maltseva Alina
Published: November 2024

Microplastics pollution poses a significant environmental threat, highlighting the need for effective quantification methods across various matrices. This article provides an overview of measuring microplastic concentrations and emphasizes the importance of Raman microspectroscopy. Capable of detecting microplastics down to 1 micron, this technique targets the smallest particles that present the highest risk.
Passive daytime radiative cooling
Authors: Pattelli Lorenzo , Papakonstantinou Ioannis
Published: November 2024

With average global temperatures constantly increasing, the emerging field of passive daytime radiative cooling holds promise to alleviate our growing cooling needs and protect the environment by providing us with electricity-free cooling power. Here, we briefly revise the principles behind this rapidly expanding field, its main material platforms and implementations, and its outstanding challenges in terms of scalability and durability against weathering agents.
Miniaturizing greenhouse gas analysis with fiber fabry-perot microcavities
Authors: Reichel Jakob , Long Romain , Mahiou Pierre , Hardy Vincent
Published: November 2024

Fiber Fabry-Perot (FFP) cavities with laser-machined mirrors combine exceptional optical properties with a rugged, miniaturized, inherently fiber-coupled
design. Originally developed for research on quantum technologies, they have found applications far beyond that field and are now being used to realize miniaturized, mobile greenhouse gas analysers, as this article explains.
Early Adolescents Communicative Abilities Using Social-Media
Authors: Shovmayanti Noor Afy , Prakosa Farid Aji , Kurniawan Dani , Amalin Khusnul , Ifani Muhammad Zulfi , Trilestari Linda , Chusna Nurdini Tsabitul
Published: November 2024

Based on the perspectives of social competence and communicative skills, the study investigates media literacy and communicative abilities utilizing social media among adolescents in Klaten, Central Java, Indonesia. The methodology involved administering a questionnaire with quantitative descriptive analysis to 160 adolescents in Klaten. The findings of this study’s media literacy analysis indicate that adolescents’ media literacy is at a medium level, sufficient to demonstrate how proficiently adolescents are currently beginning to use social media. According to data on their platform usage, adolescents also utilize social media to access entertainment content. A small percentage of users visit it for educational purposes. Adolescents use social media to find enjoyment. Furthermore, adolescents’ communicative skills yield comparatively poor outcomes. It’s clear from this that adolescents’ use of social media is still limited to consuming material; only some generate content.
Trends in Local and Global Studies on Mindfulness during Islamic Prayer (Khusyu’): Where and How It Should be Linked
Authors: Al-Razi Muhammad Fakhruddin , Azhar Muhammad
Published: November 2024

This article aims to map research trends about khusyu’ nationally or internationally. The method used is a qualitative, manual, and bibliometric analysis of two data sources between Scopus and Google Scholar. The results showed that on a national scale, the trend of khusyu’ studies can be mapped into three categories through the analysis of tafsir, law or jurisprudence, and studies that relate khusyu’ to psychological variables. On an international scale, using the word khusyu’ is less popular among researchers, and the investigation is more multidisciplinary-multicultural. This research is helpful as a reference for researchers in looking at the concept map of the distribution of khusyu’ study trends, determining relevant and significant sources, and projecting research on khusyu’ in the future. This study concludes that the trend of khusyu’ studies has begun to penetrate mental health themes and can be projected as a reference for intervention or therapy in overcoming psychological problems in the coming years.
The Influence of The Indonesia-Australia Comprehensive Economic Partnership Agreement (IA-CEPA) on Australian Green Economy Investments Expansion in Indonesia
Authors: Shaommy Mutiara , Paksi Arie Kusuma
Published: November 2024

The Indonesia-Australia Comprehensive Economic Partnership Agreement (IA-CEPA) is an ongoing inter-regional collaboration that provides a unique opportunity to study the impact of trade agreements on the development of Australian green economic investments in Indonesia. The author employs a descriptive research model to examine the research. As a result, Australian green economy projects in Indonesia have received increased funding and variety. However, conflicts between economic, environmental, and social factors are frequently unavoidable during the development process. As a result, the Indonesian government must immediately align policies by raising Environmental Social Governance (ESG) standards and involving the community in all stages of its development.
Optimizing Data Interoperability: An Approach Towards Unified Employment Data in Indonesia
Authors: Wahyuni Herpita , Mutiarin Dyah , Pribadi Ulung , Syakiran Akmal Ismail Nur , Priyo Purnomo Eko , Nurmandi Achmad , Kumorotomo Wahyudi , Ahdarrijal Yujitia
Published: November 2024

This research focuses on efforts to optimize data interoperability towards unified employment data in Indonesia, which consists of planning, manufacturing, integration, and marketing strategies using the Twitter social media account @kemnakerRI, which has the potential to provide valuable guidance for policy development, planning, and implementation of promotional strategies in future. Data analysis using NVivo 12 Plus comes from various media, news, and Twitter data support Revealing activity on social media accounts includes four main aspects. Planning (Planning) provided the most significant contribution, namely 24%, which reflects the awareness and maturity of the Ministry of Manpower’s strategy. Planning includes determining topics, scheduling placements, and using specific techniques to increase engagement. Content Creation accounts for 20%, indicating active efforts in producing informative material through graphics, infographics, videos, or text posts. Integration is 21% complete, meaning efforts to integrate information into broader initiatives and campaigns. Marketing activity (Marketing) of 19% shows that the @kemnaker social media account is an effective channel for marketing and promoting information related to One Employment Data, considering its benefits and success, as well as facing the challenges of differences in data standards, integration, and regulatory differences. The novelty of the research is that it combines social media data analysis to support the optimization of one employment data strategy.
Extent of Implementation of Conditional Cash Transfer (CCT) Program in a Local Government Unit in Southern Philippines: Basis for Intervention Strategies
Authors: Ryan Agregado James , Novelyn Patalita , June Sellar Elton , Christine Tenorio
Published: November 2024

This study focused on the extent of the Conditional Cash Transfer program implementation in a local government unit in Southern Philippines and the adherence of the Department of Social Welfare and Development (DSWD). The research examined how the agency and the personnel follow guidelines in beneficiary selection, compliance, monitoring, and feedback mechanisms. The study was anchored on Republic Act 11310, the Pantawid Pamilyang Pilipino Program (4Ps) Law, and its Implementing Rules and Regulations (IRR). The Data were collected through a self-made survey instrument focusing on the personnel of the 4Ps employees as the research participants. A quantitative research design was employed. The findings suggest that the program is well implemented. It may be that the DWSD personnel are adhering to the IRR of the 4Ps law. However, challenges were identified, including reliance on manual monitoring, inter-agency cooperation issues, and cultural, social, and educational factors affecting beneficiary compliance and data accuracy. Based on these findings, the researchers proposed intervention strategies to improve beneficiary lives and enhance program operations for DSWD personnel and 4Ps beneficiaries.
Indonesia’s Efforts in Supporting ASEAN Digital Economy by Expanding the Use of QRIS in Southeast Asia
Authors: Azhar Rifdahita Maitsa , Azmawati Dian
Published: November 2024

Through the G20 forum, Indonesia raised the issue of digital transformation and collaborated with four ASEAN countries. Indonesia is also taking advantage of ASEAN Digital Economy Framework Agreement (DEFA) formation by advocating the interoperability of digital payment systems in ASEAN. This research aims to find out what efforts Indonesia has undertaken to support the realization of ASEAN’s digital economy, focusing from the initial approval of the Local Currency Settlement (LCS) which was approved by Indonesia, Malaysia, Thailand, and Philippines in 2016 until Singapore’s joining the Local Currency Transaction (LTC) framework in 2022. The study used a qualitative research method. The data used is secondary data originating from journals, documents, books, and official websites that are able to support research. The findings reveal that Indonesia’s efforts in supporting ASEAN’s digital economy are carried out by advocating the realization of interoperability in the payment system conducted by Indonesia through cooperation in using QRIS digital payments through the Local Currency Transaction (LCT) framework.
Enablers and barriers of Adopting BI-tool for data analytics in Large Enterprises of Bangladesh
Authors: Khanom Konika , Nahid Mehzabul Hoque , Rabbani Golam Mustafa Md. Nurullah
Published: November 2024

The objective of this research is to examine the factors that facilitate or hinder the incorporation of Business Intelligence (BI) tools for data analysis and decision-making in enterprises in Bangladesh, using an adapted TOE framework. A quantitative methodology was used, consisting of a purposive survey conducted on 290 individuals who had experience in BI-Applications for the purpose of analytics. 191 valid survey responses were collected and analyzed using PLS-SEM. A conceptual framework consisting of 8 first order reflective constructs and 3 second order constructs were developed to examine the hypotheses, which portrays the main reflective elements as a set of variables that serve as reflective indicators for second-order constructs, encompassing technical, organizational, and environmental factors. The reported data indicated that factors such as relative advantage, compatibility, simplicity, top management support, organizational fit, competitive pressure, and vendor support have a substantial effect on the adoption of BI tools
Strategy For Strengthening Political Literacy of Youth Through Political Education Based on Social Media
Authors: Mawarti Rista Ayu , Restuningsih Ermawati Dwi
Published: November 2024

The aim of this article is to analyses strategies for strengthening youth political literacy through improving social media-based political education and examining supporting and inhibiting factors for strengthening youth political literacy through improving social media-based political education. This research uses a qualitative approach with a case study design. This research data collection used interview, observation, and documentation techniques, as well as pattern-matching data analysis techniques in the form of domain analysis and pattern simplification. The research findings are (1) The Yogyakarta Special Region KPU effectively enhances youth political literacy by leveraging social media platforms, podcasts, and films, thereby making political education more engaging and accessible for Generation Z, fostering their involvement in the democratic process. (2) Strengthening youth political literacy through social media offers significant opportunities for building future generations, but it also presents challenges that require careful management, including combating misinformation, promoting ethical communication, and ensuring equal access to digital resources.
Implementation of the Smart City Concept in the Dimensions of Smart People, Smart Mobility, and Smart Governance for the Realization of Jakarta Smart City
Authors: Tasa Aviana Rizki Amalia , Fridayani Helen Dian , Isnadi Yuli
Published: November 2024

This research aims to see how the implementation of the Smart City concept at DKI Jakarta especially on the smart people, smart mobility, and smart governance dimensions to realize Jakarta Smart City. Jakarta’s seriousness in developing the Smart City concept to provide services and public welfare that are more efficient, effective, and sustainable can be seen from the IMD Smart City Report 2023, where Jakarta is ranked 102 out of 141 cities in the world, outperforming two other Indonesian cities, Medan and Makassar. This research uses qualitative descriptive methods based on secondary data from digital news media. The data is processed using NVivo 14 as a research tool. Based on the results of research, it was found that the implementation of the Smart City concept at Jakarta showed that (1) Smart People, with the development of the digital society; (2) Smart Mobility, has been available integrated public transportation; (3) Smart Governance, which is marked by the policies that have been established in connection with the application of the smart city concept. This also showed that the implementation of Smart City concepts in Jakarta has gone well and continues to develop until now.
The Effectiveness Analysis of the National Digital Literacy Movement SiBerkreasi Program in Indonesia
Authors: Yuliantini Lisa Sophia , Suswanta Suswanta
Published: November 2024

This study aims to analyze the effectiveness of the Digital Literacy National Movement (GNLD) SiBerkreasi Program in the digital democracy era in Indonesia. The National Movement for Digital Literacy (GNLD) SiBerkreasi is a program from the Ministry of Communication and Information that aims to tackle the spread of negative content and fake news in digital spaces. The research method used in this research is descriptive qualitative using N-Vivo 12plus in processing 12plus research data with crosstab analysis visualization and Item Clustered by Word Similarity. Sources of data for this research were obtained from literature studies of journals, online media, and play stores. This study uses five indicators 5 (five) theoretical indicators of program effectiveness measurement by Sutrisno, namely Program Understanding, Right on Target, On Time, Goals Achieved, and Change. The results of data processing show the highest intensity of achievement of the program effectiveness indicators, namely the program understanding indicator with an intensity of 26.00% then the right target indicator with an intensity of 25%, then the Program Achievement indicator with an intensity of 19%, the Real Change indicator is 16% and the indicator with the lowest intensity namely the timely indicator of 11%. The level of effectiveness of the National Digital Literacy Movement (GNLD) SiBerkreasi program greatly influences the level of availability of healthy spaces in the implementation of digital democracy in Indonesia.
Implementation of Sustainable City Concept in New Capital City Development Planning
Authors: Fatonah Julia Nur , Rahmawati Dian Eka
Published: November 2024

New capital City development will be carried out in the Eastern Kalimantan region with the concept of a sustainable city. The research aims to find out whether the planning process carried out in new capital city development is in line with the concept of the sustainable city according to the Research Triangle Institute (1996) with indicators of ecology, economy, Society equity, engagement, and energy. The research uses qualitative methods through a descriptive approach using secondary data that comes from online news sites and previous research. Based on the results of this research, implementation of the concept of a sustainable city in New capital city development planning shows that (a) engagement aspects have shown the involvement of stakeholders of the community and investors; (b) environmental aspects have applied efforts of conservation of biodiversity and waste management in planning this development; (c) in energy aspects has taken into account the planning of intelligent building concepts and environmentally friendly transportation; (d) the society aspects is marked by the availability of facilities and services Education as well as Health; (e) in economic aspects take into consideration the development of the agriculture and plantation industry and development of ecosystems.
Examining Marriage Age Restrictions: Mitigating Early Marriage in Indonesia
Authors: Zainal Asyiqin Istianah , Akbar M. Fabian
Published: November 2024

This study explores early marriage, defined as unions occurring below the legally recognized age of majority, through the lens of Islamic law and positive law. It examines principles from the Qur’an, Hadith, and national legislation, emphasizing the significance of psychological and physical maturity for a harmonious, lasting marriage. While Islamic teachings do not explicitly set a minimum age, they stress the importance of maturity and consent. The study also considers the Indonesian Fatwa Commission’s stance on child marriage, addressing eligibility and maturity requirements. Using a normative qualitative analysis, the research investigates various scholarly interpretations of age limits in marriage. It evaluates the effectiveness of Indonesia’s marriage age restrictions and the persistence of early marriages despite legal frameworks. Findings indicate that laws regulating marriage age are ineffective due to loopholes in marriage dispensation applications, leading to a high prevalence of early marriages. This study aims to provide a comprehensive understanding of the dynamics surrounding marriage age restrictions in Indonesia and suggests measures to mitigate the incidence of early marriages.
Quantitative Analysis of Political Party Understanding and the Impact of Political Bias through ChatGPT
Authors: Inoshita Keito
Published: November 2024

In recent years, large language models (LLMs) such as ChatGPT have been utilized for acquiring political knowledge. However, there remain questions about their accuracy and fairness, as these models may harbour biases in understanding political parties. This study aims to quantify the understanding of Japanese political parties using the ChatGPT model and evaluate the model’s biases and their impacts. Specifically, we conducted experiments using pairs of questions and answers that reflect the stances of each party to investigate the extent to which the model demonstrates understanding toward specific parties. The experimental results revealed that ChatGPT-4 exhibits a significantly higher level of understanding towards the Liberal Democratic Party, while its understanding of newer parties like Reiwa Shinsengumi is lower. Additionally, the GPT model acting as a voter tends to have a positive bias towards certain parties and reflects progressive ideologies. It was also shown that the recognition of political parties influences the model’s understanding, with factors such as the number of seats, advertising expenses, and the frequency of party names in the dataset potentially playing crucial roles. Based on these findings, this study provides a foundation for enhancing the accuracy and fairness of party understanding using GPT models and proposes improvements for future research and practice.
Proposed Approach to Increase the Reliability of Wireless Sensor Networks through Dijkstra’s Algorithm
Authors: Jasim Abd Hashim Yaqin , Talib Hasson Saad
Published: November 2024

This study aims to improve the performance of wireless sensor networks (WSNs) using Dijkstra’s algorithm. WSNs are vital in applications like environmental monitoring and industrial processes, requiring efficient data flow and power management to extend their operational life. Dijkstra’s algorithm is implemented to find the shortest paths between nodes, enhancing energy efficiency, network longevity, and data access speed at minimal cost. Key nodes are selected based on energy levels and proximity to key locations to facilitate data collection and transmission to the main hub, reducing the workload on other sensors and conserving energy. The algorithm also identifies alternative routes if multiple sensors share the same shortest path, reducing congestion, data loss, and interference. Extensive testing shows that Dijkstra’s algorithm significantly improves sensor reliability, and data transmission speed, and reduces message loss compared to unregulated operation. This research confirms Dijkstra’s algorithm’s effectiveness in enhancing WSN functionality, particularly in energy conservation and sustained long-term performance. Implementing Dijkstra’s algorithm enables WSNs to operate more efficiently and effectively, meeting energy conservation requirements while ensuring smooth long-term operation.