bluuebunny/crossref_metadata_2025 huggingface dataset:
ВЛИЯНИЕ РАЗНЫХ СПОСОБОВ ОБРАБОТКИ ПОЧВЫ НА ЕЕ АГРОФИЗИЧЕСКИЕ И АГРОХИМИЧЕСКИЕ СВОЙСТВА ПОЧВЫ В УСЛОВИЯХ БОГАРЫ ЮГО-ВОСТОКА КАЗАХСТАНА
Authors: Жапаев Рауан , Куныпияева Гуля , Оспанбаев Жумагали , Сембаева Айзада , Кыргызбай Кудайберген , Какимжанов Еркин
Published: July 2024

Для рационального использования богарных земель юго-востока Казахстана изучены влияние разных способов обработки почвы на ее водно-физические и агрохимические свойства почвы. Плотность почвы в пахотном слое почвы 0-30 см от посева до уборки урожая изучаемых культур возрастала до средне уплотненного состояния при традиционном способе обработки почвы (1,28-1,29 г/см3), несколько выше – при минимальной (1,30-1,31 г/см3), самые высокие при нулевой (1,32-1,33 г/см3). Обработка почвы за счет более лучшего крошения и большего поступления растительных остатков в обрабатываемый слой способствовали некоторому уменьшению плотности почвы, как при традиционном, так и при минимальной обработке почвы. Из-за дефицита количества осадков в летний период наблюдалось уменьшение запасов продуктивной влаги в почве к началу уборки урожая при традиционной обработке 15,9-34,5 мм, при минимальной обработке 20,7-36,7 мм, при нулевой обработке 29,8-54,8 мм. Содержание количества нитратного азота в почве снизилась от исходного состояния к уборке возделываемых культур, а значительное снижение было при нулевой обработке почвы. Длительный бездождливый период, сопровождаемый снижением относительной влажности воздуха, влажности почвы и повышением температуры отразилась на физиологии растений и в последующем, и на урожайности изучаемых культур. В среднем по изучаемым культурам наибольший урожай 17,6 ц/га при минимальной обработке почвы.  На основе двухфакторного анализа ANOVA доля вклада культур в формирование урожая зерна составила в зависимости от года исследований в пределах 0,73-2,89%, доля участия способов обработки почвы 83,3-93,8%. На формирование урожая зерна в большей степени зависела от изучаемых способов обработки почвы, при этом зависимость только увеличивалась, что связано с метеоусловиями в период вегетации изучаемых культур. В условиях богары юго-востока Казахстана нулевая обработка почвы приводит к значительному снижению нитратного азота по сравнению с традиционной и минимальной обработкой почвы. Поэтому при применении нулевой обработки почвы необходимо большее внесение азотного удобрения, чем при традиционной обработке почвы, а также внесение калийных удобрений не зависимо от способов обработки почвы.
The Architecture of 3D Sensory Scanner System for Storing Shelf
Authors: Thinaharan Ramachandran  , Sokchoo Ng  , Vincent Tai  , Yong Chai Tan
Published: July 2024

The storage shelves are available in different sizes for storing objects in different shapes, colours, sizes and surfaces. Many technologies are available for transforming human-intensive jobs into machines, such as robots handling picking, placing and sorting, but these robots need datasets to process and handle effectively. A distance sensor is suitable to measure distances between objects and to obtain free spaces that are available in a shelf tier. A Light Detection and Ranging (LiDAR) sensor can measure distances better than Ultrasonic (US) and Infrared distance sensors (IR) because it has good sensitivity to detect near and far objects. Spherical coordinates that are recorded from a LiDAR are transformed into cartesian coordinates to obtain a 3D impression of a shelf tier. This study aims to propose an effective 3D sensory scanning system to estimate the percentage of free space in a shelf tier by using cloud point data (CPD). The first step is to determine a suitable distance sensor that can be mounted on a tripod scanner to obtain CPD. The spherical datasets then were converted into cartesian coordinates. The motor speed was analysed with Pearson Correlation analysis to determine a suitable rotating speed to construct a 3D impression. Experimental results showed the designed scanner is capable to scan CPD at a suitable motor rotational speed, and with the 3D plot from cartesian coordinates, it is easy to distinguish between areas with and without objects in a shelf tier.
Risk Factors Analysis in Halal Supply Chain Management System
Authors: Nor Azizah Jasman  , Nor Hapiza Mohd Ariffin
Published: July 2024

Implementing a Halal supply chain (HSC) management system has been dynamically deployed along the supply chain process in line with the growth of the Muslim community. As the market has become more competitive, businesses have realised the need to obtain Halal certification and incorporate it into their operations as the demand for Halal compliance has increased. Fraud during the implementation and execution process in the HSC management system also increases. This research aimed to prioritise the six risk factors with 24 risk types in the HSC management system for the HSC industry to comprehend, observe, and prepare for risk mitigation. The research methodology applied in this study is qualitative research. It consists of a literature review followed by interviews using qualitative risk analysis with experts to determine the HSC risk factors rating exposure using closed-ended interviews and then securing the experts’ opinions on the risk factors. The risk factors analysis in the HSC management system results significantly assist the HSC industry in implementing risk mitigation for their business operations to ensure HSC compliance and business sustainability. The findings concluded are significant for study purposes and for enterprises for references or basic guidelines in identifying the HSC risk and preparing for the risk mitigation action.
Bipolar Neutrosophic Dombi Shapley Weighted Average Aggregation Operator and Its Application in Decision-Making Problem
Authors: Siti Nurhidayah Yaacob  , Hazwani Hashim  , Nur Qasfareeny Abdul Halim  , Noor Azzah Awang  , Lazim Abdullah  , Ashraf Al-Quran
Published: July 2024

A bipolar neutrosophic set (BNS) is a novel set theory characterized by positive and negative membership degrees. It is designed to handle bipolar, inconsistent, and uncertain data. BNS is used widely to solve complex decision-making problems. Besides uncertainty data, aggregation operators (AOs) also important in decision-making problems. The Dombi operations, comprising of Dombi T-norm and Dombi T-conorm (DTT), exhibit significant general parameter flexibility. According to the literature, the Dombi operation rules have addressed many intricate decision-making problems in diverse settings. However, the current study needs to examine the optimal method for obtaining the weight of criteria during the aggregation process. The importance of the standards is defined in this study using a Shapley fuzzy measure. Considering this, the article presents the bipolar neutrosophic Dombi Shapley weighted average aggregation (BNDSWAA) inspired by the Dombi operation. The paper examines the various properties of BNDSWAA. A decision-making method is also created based on the suggested operator. The proposed process under BNS is explained using an algorithm for selecting green suppliers. Finally, testing for parameter influence is conducted to identify any parameter changes. The finding shows the proposed method is effective in solving decision-making problems.
Enhanced Channel Estimation Performance-Based Intelligent Reflecting Surface Massive MIMO Systems
Authors: Amina I. Abdelmaksoud  , Sherif K. Eldiasty  , Hesham M. Elbadawy  , Hadia Elhennawy  , Bassant Abdelhamid
Published: July 2024

Intelligent reflecting surfaces (IRS) are an innovative technique that dramatically increases system efficiency. The integration of massive multiple-input multiple-output (massive MIMO) and IRS has been considered the most efficient route to 6G networks. An important challenge in IRS-aided massive MIMO wireless systems is channel estimation. With a rise in the number of IRS-reflecting elements and IRS-assisted users, channel training overhead becomes too large, resulting in large transmission delays and poor data transfer rates. To overcome this problem, an enhanced compressive sensing (CS) method to determine reliable channel state information (CSI) in IRS-aided massive MIMO systems is proposed, which combines enhanced compressive sensing with a deep denoising convolution neural network (CsiNet-DeCNN). By using deep learning methods to denoise channel data, our proposed model is validated numerically, indicating that it is accurate with low NMSE. Further, the results indicate that CsiNet-DeCNN performs better than traditional CS methods in estimating channel parameters.
The Implementation of Long-Short Term Memory for Tourism Industry in Malaysia
Authors: Siti Aishah Tsamienah Taib  , Noratikah Abu  , Azlyna Senawi  , Clark Kendrick Go
Published: July 2024

Across the world, tourism is known as the largest contributor towards economy and the fastest developing industry. It has the capability of generating income, creating job opportunities and help people to understand the culture diversity of other countries. Therefore, tourism demand forecasting is really needed to help the practitioners involved as well as government in pricing setting, in assessing future requirements of capacity to fulfil the customers’ demand or in making wise decisions on whether to explore new market or not. This study focuses on tourism demand forecasting based on the number of tourist arrival using recurrent neural network (RNN), which is long-short term memory (LSTM) model. The data used in this study is historical data of number of tourist arrivals in Malaysia before the onset of Movement Control Order (MCO) starting from January 2000 to February 2020 due to the COVID-19 outbreak. The data set was divided into two subsets, training and testing data sets based on ratio 80:20. The objective of this study is to determine an accurate forecasting model especially in tourism industry in Malaysia. The forecast evaluation implemented to predict the error of each model are Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) and the analyses for this model was performed by using Python software. Based on the results obtained, the LSTM model was considered as one of the accurate prediction methods for tourism demand in Malaysia due to the least error produced. It is hoped that these results can help the government as well as practitioners in tourism industry to make a right judgement and formulate better tourism plans in order to minimize any consequences in the future.
DIGITALISASI PENGELOLAAN KEUANGAN UMKM KABUPATEN BATANG
Authors: Ekaristi Clara Yully Diana , Kusumaningrum Hermin Pancasakti , Denis  , Aresteria Maya , Purwienanti Eiffeliena Nur'aini Fisikaningputri
Published: July 2024

UMKM atau usaha mikro, kecil, dan menengah merupakan bagian yang sangat penting dan strategis dalam peningkatan perekonomian nasional, terutama berperan dalam mendorong pertumbuhan ekonomi negara, apalagi saat ini pemerintah sedang berupaya memulihkan keadaan ekonomi pasca Covid-19. UMKM yang tangguh diawali dengan pemahaman pengelolaan keuangan yang baik. Kecamatan Bandar merupakan salah satu kecamatan di Kabupaten Batang yang memiliki banyak potensi sumberdaya yang dapat dikembangkan. UMKM di kecamatan Bandar kabupaten Batang Jawa Tengah yang terdiri dari berbagai jenis usaha yang semakin berkembang. Permasalahan yang dialami UMKM tersebut adalah masalah dan kendala dalam hal pengelolaan keuangan, hal ini disebabkan dengan adanya keterbatasan pemahaman pengelolaan keuangan baik secara sederhana maupun digital. Berlatar belakang dari permasalah ini, kegiatan digitalisasi pengelolaan keuangan UMKM Kabupaten Batang sebagai mitra dalam program ini. Program ini menggunakan metode ceramah dan diskusi. Kegiatan ini diawali dengan memberikan pre tes dan postes. Dilihat dari hasil penyebaran kuesioner peserta yang berprofesi sebagai wirausaha, dan memiliki berbagai jenis usaha. Dilihat dari sebelum sosialisasi digitalisasi pengelolaan keuangan terhadap peserta pelaku UMKM memiliki tingkat pemahaman sebesar 4-18% dan sesudah sosialisasi kegiatan mencapai tingkat pemahaman sebesar 100% meskipun masih tahap awal penggunaan digital. Dengah dilakukannya kegiatan sosialisasi ini, dapat dilihat bahwa tingkat pemahaman dan pengetahuan pengelolaan keuangan secara digital bagi pelaku UMKM unbu kecamatan Bandar mengalami peningkatan sehingga lebih meningkatkan kualitas dan produktivitas UMKM tersebut sehingga dapat meningkatkan perekonomian masyarakat pedesaan.
PELATIHAN GURU PENDIDIKAN AGAMA KRISTEN KOTA BANDUNG MENYUSUN PERANGKAT PEMBELAJARAN KURIKULUM MEDEKA BELAJAR
Authors: Simanjuntak Junihot M. , Siburian Martha Sari , Alpionika Widie
Published: July 2024

Pelatihan Guru-guru PAK yang mengabdi di lingkungan sekolah negeri di Bandung mengalami kendala untuk melaksanakan tuntutan kurikulum medeka belajar, secara khsusus dalam menyusun perangkat pembelajaran Kurikulum Medeka Belajar. Sebagai solusinya, pelatihan ini dilaksanakan atas kesepakatan bersama. Menggunakan metode pelatihan dengan pendekatan model pengajaran dan praktik kerja kelompok. Pengajaran dilakukan untuk pengembangan kemampuan anggota organisasi. Praktik kerja kelompok dilakukan untuk memberikan pengetahuan dan pengalaman dalam bekerja bagi semua peserta pelatihan. Pengukuran ketercapaian pelatihan menggunakan analisis deskriptif kualitatif. Evaluasi seluruh kegiatan dengan metode kualitatif dan kuantitatif. Teknik pengumpulan data kualitatif menggunakan wawancara, observasi, dan analisis data dari awal sampai akhir. Teknik pengumpulan data kuantitatif menggunakan angket dan analis data dengan rumus persentase. Hasil pelatihan menunjukkan 87% guru-guru PAK mengalami peningkatan kompetensi pengetahuan dan keterampilan dan 93% Guru PAK telah berhasil menyusun perangkat pembelajaran untuk Mata Pelajaran PAK yang diampunya sesuai dengan tuntutan Kurikulum Merdeka Belajar.
Políticas públicas para a saúde mental dos cuidadores de pessoas com Alzheimer e outras demências - reflexões e possibilidades
Authors: Almeida Paulo Rennan Milhomem , Souza Bruno Rocha de
Published: July 2024

Introdução: O aumento de pessoas diagnosticadas com demências, em especial a demência de Alzheimer, tem resultado na criação de programas de intervenção no âmbito global, uma vez que essas doenças neurodegenerativas comprometem a vida dos portadores, que necessitam geralmente de cuidadores em tempo integral. No entanto, todo esse cuidado e dedicação em excesso acabam trazendo prejuízos para a saúde mental dos cuidadores. Objetivo: Compreender sobre os fatores que contribuem para a criação de políticas públicas de assistência para os cuidadores de pessoas com quadros demenciais; Conceituar o Mal de Alzheimer e as demências; Definir o que são as políticas públicas; Descrever suas características e citar políticas criadas para o idoso no âmbito global; Explicar sobre a importância da criação de políticas públicas de assistência para a saúde mental dos cuidadores de pessoas com doenças neurodegenerativas, além de descrever os benefícios dessas políticas para as famílias de pessoas com demências. Método: Trata-se de uma revisão bibliográfica com abordagem qualitativa, consultadas nas bases de dados do Google Acadêmico e do SciELO. Resultados: Os resultados revelaram que os cuidadores que sofrem com uma sobrecarga excessiva, podem desenvolver vários problemas psicológicos como ansiedade, depressão, estresse e problemas físicos. Conclusão: Concluiu-se que os problemas encontrados tendem a se intensificar quando estes cuidadores possuem baixa renda e não tem como custear gastos com medicação, bem como podem sofrem pela falta de informação, sendo primordial a criação de políticas públicas que intervenham nessas situações.
Income Diversification of Rural Households in Bangladesh (2022-23)
Authors: Kumar Biswas Tapan , Kamal Mostafa , Sani Jumman , Shahid Tanjina , Tiyaba Tabassum Farah , Hossain Fouzia , Roy Shuma
Published: July 2024

This study examines income diversification and inequality among rural households in Bangladesh in 2022- 23, focusing on agricultural and non-agricultural sources of income. The analysis includes three districts: Chadpur, Sirajganj and Rajshahi, with specific economic activities. Data were collected through household surveys that collect income from agriculture, livestock, fishing, services and industries, and demographic data. Rajshahi has the highest income, due to high income from cattle, while Chadpur has the lowest. The results show significant income disparities, high levels of animal activity and differences in economic activity between regions. Larger houses in Rajshahi reflect changes in family structure. The main challenges identified were land fragmentation, climate change and limited access to finance and infrastructure. Recommendations for policy interventions include targeting support to low-income areas, investing in livestock development, promoting income diversification, improving infrastructure, strengthening climate livelihoods, expanding access to finance, the adoption of technology and the implementation of family planning programs. These strategies aim to reduce income inequality, improve economic opportunities and promote sustainable development in rural Bangladesh.
Tetralogy of Fallot: A Qualitative Study towards Identifying the Basic Needs of a Child with this Condition
Authors: Victor MOMAH Kiyung, , Horton-Deutsch Sara , Félix Désiré Sah Tatsing
Published: July 2024

The consequences of surgical correction of Tetralogy of Fallot (TOF), remains an important aspect as children with TOF repair run the high risk of increase mortality resulting from cardiopulmonary nursing problems involving cardiorespiratory insufficiency and low cardiac output resulting from surgical management manipulation of the heart. A study that investigates the basic need of children living with surgically corrected Fallot’s tetralogy integrates in a caring science discipline. The researcher sorted to investigate on identifying which basic needs of children living with TOF in one of the surgical heart centres of Africa could be used when modeling a caring approach for them. This was a phenomenological qualitative study which explored the nurses formal knowledge of the clinical needs faced by children with tetralogy of Fallot. The population under study were the nurses and were selected based on a non- probability convenient sampling technique. Data was collected using a semi-directed guided interview guide on a one-one interview strategy. Content of the information gathered from the participants was analyzed using Colaizzi’s descriptive phenomenology method. The study revealed that especially during post-surgical repair, the child presents with the following basic needs like: biophysical, safety and security, psychophysical, psychosocial and spiritual needs.
Grammar videos
Authors: Van Niekerk Angelique , de Wachter Lieve
Published: July 2024

The videos are linked to the grammar explanations (documents) and follow a comparative approach Dutch-Afrikaans.

This is supporting material linked to the interactive continuous assignments, which also focuses on grammar in the online course, Nederlands leren spreken, UFS.

Academic custodian and presenter: Angelique van Niekerk
Nederlandse taalverwerwing in Suid-Afrika - gemengde leerkursus(Dutch Language acquisition in South Africa) - blended learning course)
Authors: Van Niekerk Angelique
Published: July 2024

Angelique van Niekerk

Dutch language acquisition in the South African tertiary context: A blended course structure

This article explores the implementation of the course Nederlands leren spreken (Zuid-Afrika). It is approached as a case study based on a literature review and a needs analysis done among South African lecturers responsible for teaching Dutch language acquisition. This course supports students in degree programs (usually part of Afrikaans modules) and occasional students (outside the language departments) in preparation for the international exam for Dutch, CNaVT.

In the course a blended learning approach focused on independent learning at an individual pace for a maximum of 14 weeks is followed. Considering the unique South African context, some contextual challenges and factors impact the implementation of the program. This includes capacity problems, difficulty in scheduling the program of occasional visiting Dutch lecturers during the course scheduling in the formal degree programs, prior passive knowledge of Afrikaans students when learning Dutch (due to language similarities) and “low tech” South African context that impacts on online learning possibilities.
Singing song/ prayer before hike to Elephant’s Eye where a ritual with be performed and sand with be collected for future rituals or to be mixed in with herbs. They sing “Sida sida gera tsoa tsoa” (Shange, 2021, Cape Town).
Authors: Shange Nombulelo
Published: July 2024

Singing song/ prayer before hike to Elephant’s Eye where a ritual with be performed and sand with be collected for future rituals or to be mixed in with herbs. They sing “Sida sida gera tsoa tsoa” (Shange, 2021, Cape Town).
Features of Recording Energy Parameters of Acoustic Emission Signals from Materials
Authors: Ovcharuk V. N.
Published: July 2024

The acoustic emission method is used as a means of analyzing the state of materials and structures, non-destructive testing and diagnosing them during operation. An important advantage over other methods is that it reacts only to the development of truly dangerous defects and is capable of monitoring large volumes and surfaces without scanning them. The article presents the results of the development of methods and algorithms designed to analyze the energy characteristics of acoustic signals. The use of spectral methods is justified.
GREEN FINANCIAL POLICY AND INVESTMENT-FINANCING MATURITY MISMATCH OF ENTERPRISES
Authors: Zhang Lingxiao , Zhang Ke , Bilan Yuriy
Published: July 2024

Green financial policies play an important role in acceleration of China’s green transformation. Existing associated studies mainly focus on the qualitative analysis and descriptive analysis. However, it still lacks empirical studies. To explore the relationship between green finance policies and the investment and financing terms of enterprises, the effects of green financial policies on investment-financing maturity mismatch of A-share companies on Shanghai Stock Exchange and Shenzhen Stock Exchange from 2009 to 2020 were investigated in this study by a difference-in-difference (DID) model. Results demonstrate that green financial policies significantly alleviate short-term loans used as long-term investment in enterprises. Green financial policies inhibit investment-financing maturity mismatch of enterprises by increasing loan availability, lowering financing cost and increasing proportion of long-term loans of enterprises. Such effect is more obvious in enterprises with higher internal control quality and enterprises with more transparent information. Green financial policies can alleviate short-term loans used as long-term investment in non-state-owned enterprises more obviously than state-owned enterprises. Research results provide some references to alleviate debt risks of enterprises. Enterprises are recommended to seek steady development, fulfil social responsibilities and take green low-carbon social actions extensively.
JWST-TST High Contrast: Achieving Direct Spectroscopy of Faint Substellar Companions Next to Bright Stars with the NIRSpec Integral Field Unit
Authors: Ruffio Jean-Baptiste , Perrin Marshall D. , Hoch Kielan K. W. , Kammerer Jens , Konopacky Quinn M. , Pueyo Laurent , Madurowicz Alex , Rickman Emily , Theissen Christopher A. , Agrawal Shubh , Greenbaum Alexandra Z. , Miles Brittany E. , Barman Travis S. , Balmer William O. , Llop-Sayson Jorge , Girard Julien H. , Rebollido Isabel , Soummer Rémi , Allen Natalie H. , Anderson Jay , Beichman Charles A. , Bellini Andrea , Bryden Geoffrey , Espinoza Néstor , Glidden Ana , Huang Jingcheng , Lewis Nikole K. , Libralato Mattia , Louie Dana R. , Sohn Sangmo Tony , Seager Sara , van der Marel Roeland P. , Wakeford Hannah R. , Watkins Laura L. , Ygouf Marie , Mountain C. Matt
Published: July 2024

The JWST NIRSpec integral field unit (IFU) presents a unique opportunity to observe directly imaged exoplanets from 3 to 5 μm at moderate spectral resolution (R ∼ 2700) and thereby better constrain the composition, disequilibrium chemistry, and cloud properties of their atmospheres. In this work, we present the first NIRSpec IFU high-contrast observations of a substellar companion that requires starlight suppression techniques. We develop specific data-reduction strategies to study faint companions around bright stars and assess the performance of NIRSpec at high contrast. First, we demonstrate an approach to forward model the companion signal and the starlight directly in the detector images, which mitigates the effects of NIRSpec’s spatial undersampling. We demonstrate a sensitivity to planets that are 3 × 10−6 fainter than their stars at 1″, or 3 × 10−5 at 0.″3. Then, we implement a reference star point-spread function subtraction and a spectral extraction that does not require spatially and spectrally regularly sampled spectral cubes. This allows us to extract a moderate resolution (R ∼ 2,700) spectrum of the faint T dwarf companion HD 19467 B from 2.9 to 5.2 μm with a signal-to-noise ratio of ∼10 per resolution element. Across this wavelength range, HD 19467 B has a flux ratio varying between 10−5 and 10−4 and a separation relative to its star of 1.″6. A companion paper by Hoch et al. more deeply analyzes the atmospheric properties of this companion based on the extracted spectrum. Using the methods developed here, NIRSpec’s sensitivity may enable direct detection and spectral characterization of relatively old (∼1 Gyr), cool (∼250 K), and closely separated (∼3–5 au) exoplanets that are less massive than Jupiter.
Evidence for Spatially Distinct Galactic Dust Populations
Authors: Shiu Corwin , Benton Steven J. , Filippini Jeffrey P. , Fraisse Aurélien A. , Jones William C. , Nagy Johanna M. , Padilla Ivan L. , Soler Juan D.
Published: July 2024

We present an implementation of a Bayesian mixture model using Hamiltonian Monte Carlo techniques to search for the spatial separation of Galactic dust populations. Utilizing intensity measurements from the Planck High Frequency Instrument, we apply this model to high-latitude Galactic dust emission. Our analysis reveals a strong preference for a spatially varying two-population dust model over a one-population dust model, when the latter must capture the total variance in the sky. Each dust population is well characterized by a single-component spectral energy distribution (SED) and accommodates small variations. These populations could signify two distinct components or may originate from a one-component model with different temperatures resulting in different SED scalings. While no spatial information is built into the likelihood, our investigation unveils large-scale spatially coherent structures with high significance, pointing to a physical origin for the observed spatial variation. These results are robust to our choice of likelihood and input data. Furthermore, this spatially varying two-population model is the most favored from Bayesian evidence calculations. Incorporating IRAS 100 μm to constrain the Wein side of the blackbody function, we find the dust populations differ at the 2.5σ level in the spectral index (β

d
) versus temperature (T

d
) plane. The presence of multiple dust populations has implications for component separation techniques frequently employed in the recovery of the cosmic microwave background.
Solar Models and Astrophysical S-factors Constrained by Helioseismic Results and Updated Neutrino Fluxes
Authors: Yang Wuming , Tian Zhijia
Published: July 2024

The ratio of metal abundance to hydrogen abundance of the solar photosphere, (Z/X)
s
, has been revised several times. Standard solar models, based on these revised solar abundances, are in disagreement with seismically inferred results. Recently, Magg et al. introduced a new value for (Z/X)
s
, which is still under debate in the community. The solar abundance problem or solar modeling problem remains a topic of ongoing debate. We constructed rotating solar models in accordance with various abundance scales where the effects of convection overshoot and enhanced diffusion were included. Among these models, those utilizing Magg’s abundance scale exhibit superior sound speed and density profiles compared to models using other abundance scales. Additionally, they reproduce the observed frequency separation ratios r
02 and r
13. These models also match the seismically inferred surface helium abundance and convection zone depth within the 1σ level. Furthermore, the calculated neutrino fluxes from these models agree with detected ones at the level of 1σ. We found that neutrino fluxes and density profile are influenced by nuclear reactions, allowing us to use the combination of detected neutrino fluxes and seismically inferred density for diagnosing astrophysical S-factors. This diagnostic approach shows that S
11 may be underestimated by 2%, while S
33 may be overestimated by about 3% in previous determinations. The S-factors favored by updated neutrino fluxes and helioseismic results can lead to significant improvements in solar models.
Mid-term Periodicity of Coronal Mass Ejections during the Time Interval 1996–2022
Authors: Ouyang 欧 Zhuolang 阳卓朗 , Deng 邓 Hui 辉 , Wang 王 Feng 锋 , Deng 邓 LinHua 林华 , Mei 梅 Ying 盈 , Zhang 张 XiaoJuan 小娟
Published: July 2024

Coronal mass ejections (CMEs) exhibit a wide range of quasiperiodic variations and are crucial for our understanding of the cyclical evolution of large-scale magnetic fields. However, the mid-term periodicities of different types of CMEs associated with different processes at the source location need to be clearly understood. Based on the CDAW catalog released by the Large Angle and Spectroscopic Coronagraph mission on the Solar and Heliospheric Observatory, we investigated the period of CMEs based on the speeds and accelerations using the continuous wavelet transformation method. Our results revealed that the distribution of CMEs over time is quite distinctly different for different speeds, and there are Rieger-type periods and quasi-biennial oscillations of the CMEs. The two types of periodic signals show significant differences in solar cycles 23 and 24. Furthermore, the periodicity patterns for the northern hemisphere differ from those in the southern hemisphere. The potential mechanisms and explanations of the results are also discussed.
Disk Assembly of the Milky Way Suggested from the Time-resolved Chemical Abundance
Authors: Wang Enci , Lian Jianhui , Peng Yingjie , Wang Xin
Published: July 2024

Both simulations and observations suggest that the disk assembly of galaxies is governed by the interplay between coplanar gas inflow, ex-planar gas outflow, and in situ star formation on the disk, known as the leaky accretion disk. This scenario predicts a strong connection between radial distributions of star formation and chemical abundances. The Milky Way, being the sole Galaxy where we can reliably measure star formation histories and the corresponding temporally resolved chemical abundances with individual stars, provides a unique opportunity to scrutinize this scenario. Based on the recent large spectroscopic and photometric surveys of Milky Way stars, we obtain the radial profiles of magnesium abundance ([Mg/H]) and star formation rate surface density at different lookback times. We find the radial profiles of [Mg/H] can be well-reproduced using the leaky accretion disk model with only two free parameters for stars formed within 4 Gyr, as well as the flattening at large radii of metallicity profiles traced by H ii regions and Cepheids. Furthermore, the constraint effective yield of the Milky Way and nearby galaxies shows broad consistency with the theoretical predictions from the stellar chemical evolution model with a mass-loading factor of 0–2. These results support that the recent assembly of the Milky Way adheres to the leaky accretion disk scenario, bridging the disk formation of our home Galaxy to the big picture of disk formation in the Universe.
Mapping fine-scale distribution of the northern pika Ochotona hyperborea considering duality in microhabitat thermal conditions
Authors: Sakiyama Tomoki , García Molinos Jorge
Published: July 2024

Species distributions are frequently modeled using predictors that exceed the spatial scale experienced by the focal species. Incorporating fine-scale environmental conditions is therefore expected to lead to more realistic model predictions. However, the importance of the variety in the existing fine-scale conditions on species distribution remains poorly assessed although species can effectively utilize multiple microhabitats for behavioral adaptation to withstand climate change impacts. Here, we developed a fine-scale species distribution model based on ambient air conditions for the northern pika (Ochotona hyperborea), a small lagomorph found in rocky landforms, to first understand the improvement in the model performance from the conventional coarse-scale model. We then assessed how model predictions alter by incorporating the rock-interstice microclimates that are found in their habitats for the baseline (1981–2010) and future periods (2041–2100). The fine-scale model performed better and overall predicted lower habitat suitability across the study area than the coarse-scale model. Incorporation of rock-interstice microclimate increased the habitat suitability markedly relative to predictions based on ambient conditions, which resulted in predicting more suitable areas in lower elevations and more areas remaining suitable into the future. This result suggests that the northern pika may withstand the negative impacts from rising ambient temperatures by effectively utilizing rock interstices via behavioral adaptation. Our findings highlight the importance of analyzing species distribution at fine scales and considering local environmental heterogeneity, which helps species mitigate the adverse impacts of climate change, for conservation under climate change.
Earth deity shrines of the Greater Taipei area: A first edition curated dataset
Authors: Morris James
Published: July 2024

Community tutelary shrines in Taiwan have been identified as excellent resources for grassroots-level heritage. As community ritual assemblages, they are able to encode data about a settlement’s social, political and economic history in their material composition, aesthetic choices, artefacts, displays and orientations. This data paper previews a first edition dataset related to 752 such shrines found throughout the greater Taipei area in northern Taiwan. It explores the basis for such a dataset, how it can be used and what has been produced. This dataset is available on the depositar research data repository, operated out of the Institute of Information Sciences at Academia Sinica in Taipei and is publicly available for download.
GRAPPA 2023 Basic Science Workshop: What to Expect From Animal Models for Psoriatic Arthritis and Psoriasis
Authors: Van Mechelen Margot , Raychaudhuri Siba P. , Raychaudhuri Smriti K. , de Vlam Kurt
Published: July 2024

Animal models help to drive research into psoriasis and psoriatic arthritis (PsA), particularly when studies in humans are not feasible. There are no animal models that perfectly mimic psoriatic disease (PsD) and so the pros and cons of each existing model must be considered for appropriate experimental design. Roughly, the existing animal models for PsD can be divided into 4 categories: (1) spontaneous models, (2) transgenic models, (3) inducible models, and (4) xenotransplantation models. Animal models in PsD are extremely important for dissecting and understanding molecular mechanisms of the disease process and for developing novel drugs. Animal models remain highly valuable for research in PsD in 2 scenarios. The first scenario is when complex interventions or analyses are required that are not feasible in humans due to technical, safety, or economic reasons. The second is when well-controlled study environments are required, such as dietary modifications, that would be challenging in humans. This topic was presented as part of the basic science workshops during the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2023 annual meeting.
Report of the IDEOM Meeting Adjacent to the GRAPPA 2023 Annual Meeting
Authors: Ball Gretchen D. , Yee Danielle , Zhang Arianna J. , Perez-Chada Lourdes M. , Strand Vibeke , Merola Joseph F. , Armstrong April W. , Gottlieb Alice B.
Published: July 2024

The nonprofit organization International Dermatology Outcome Measures (IDEOM) is committed to improving the implementation of patient-centered outcome measures in dermatologic disease. At a conference adjacent to the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2023 annual meeting, the IDEOM Psoriatic Disease Workgroup presented updates on recent efforts in outcome measure advancement. Dr. Alice Gottlieb presented the preliminary findings of a study within the Mount Sinai Health System that aims to determine how well the IDEOM musculoskeletal (MSK) symptom framework, which uses the Psoriasis Epidemiology Screening Tool (PEST) and the Psoriatic Arthritis Impact of Disease (PsAID) instruments, functions in clinical settings. Drs. Joseph Merola and Lourdes Perez-Chada updated attendees on the IDEOM MSK-Q, a 9-item patient-reported questionnaire designed to measure the intensity and impact of MSK symptoms on the quality of life in patients with psoriasis (PsO) with or without psoriatic arthritis (PsA). Dr. Vibeke Strand summarized the Outcome Measures in Rheumatology (OMERACT) 2023 conference sessions. Dr. April Armstrong discussed the preliminary findings of a multicentered study designed to validate the 7-item Dermatology Treatment Satisfaction Instrument (DermSat-7) among patients with PsO. She also introduced the Psoriasis and Psoriatic Arthritis Treatment Satisfaction Instrument, a tool that seeks to capture the level of patient satisfaction with current therapy for PsO and PsA. This report summarizes the developments discussed at the IDEOM PsO and PsA research workgroups during the GRAPPA 2023 annual meeting.
GRAPPA 2023 Collaborative Research Network Meeting
Authors: Chandran Vinod , Gladman Dafna D. , Mease Philip J. , Eder Lihi , Pennington Stephen R. , FitzGerald Oliver , Ritchlin Christopher , Webster Dan E. , de Vlam Kurt , Liao Wilson
Published: July 2024

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) Collaborative Research Network (CRN)/research committee met during the GRAPPA 2023 annual meeting. Updates were provided on GRAPPA research projects, including the Axial Involvement in Psoriatic Arthritis (AXIS), Axial Psoriatic Arthritis Molecular and Clinical Characterisation Study, Diagnostic Ultrasound Enthesitis Tool (DUET), and Sex- and Gender-Based Analysis of the Effectiveness of Advanced Therapies (SAGE) studies, as well as the Health Initiatives in Psoriasis and Psoriatic Arthritis Consortium European States (HIPPOCRATES) and Elucidating the Landscape of Immunoendotypes in Psoriatic Skin and Synovium (ELLIPSS) studies. The highlight of the meeting was a presentation and discussion on the use of digital tools to study psoriatic disease.
GRAPPA 2023 Annual Meeting Report: Hot Topic Session on Measurement of Musculoskeletal Symptoms in Psoriatic Disease
Authors: Zhang Arianna J. , Perez-Chada Lourdes M. , Strand Vibeke , Armstrong April W. , Gottlieb Alice B. , Merola Joseph F.
Published: July 2024

During the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2023 annual meeting, the International Dermatology Outcome Measures (IDEOM) psoriatic disease (PsD) workgroup presented an update on their efforts toward measurement of musculoskeletal (MSK) symptoms in patients with PsD. Dr. Joseph Merola initiated the presentation emphasizing the vital importance of assessing MSK symptoms in patients with psoriasis (PsO) regardless of whether they have been diagnosed with psoriatic arthritis (PsA). He also discussed existing challenges for evaluating MSK symptoms in patients with PsO without a PsA diagnosis. Dr. Lourdes Perez-Chada then presented their work on the development and validation of the IDEOM Musculoskeletal Questionnaire (MSK-Q), a patient-reported questionnaire developed by the IDEOM to capture the intensity and impact of MSK symptoms on quality of life in patients with PsO with or without PsA. Dr. Perez-Chada also introduced a set of ongoing studies employing the IDEOM MSK-Q, highlighting the potential effects of the data collected through this innovative tool.
La forme et son extériorisation
Authors: Rada Florian
Published: July 2024

Le concept de forme permet d’analyser la dimension ontologique de la logique hégélienne. Cependant, le processus de détermination, qu’est la forme, n’est pas encore décrit de manière formelle dans la Logique objective, ce qui produit des effets singuliers. On propose de donner un échantillon de ces effets dans la Logique de l’être avant de se concentrer sur le moment d’une extériorisation de la forme, qui se produit dans la diversité ( Verschiedenheit ) dans la Logique de l’essence. Le rapport entre forme et figure s’y développe d’une manière singulière et permet à la fois d’intégrer la logique dite « formelle » et d’analyser un type d’objectivation spécifique : la variable.
Hegel : de l’objectivité de la connaissance à la connaissance des ob-jets
Authors: Wittmann David
Published: July 2024

Nous proposons de relire la doctrine de l’essence dans une perspective épistémologique en montrant qu’elle traite de la question de l’objectivité de la connaissance. Les trois réflexions sont autant de manières de thématiser le problème moderne de la connaissance sommée de justifier son objectivité. Hegel va montrer que l’objectivité de la connaissance se mesure à sa capacité à penser des formes d’objets de plus en plus concrets.
Logique, vérité et descente sémantique
Authors: Wagner Henri
Published: July 2024

Dans cet essai, nous voudrions contribuer à offrir une compréhension adéquate de l’usage par Quine du prédicat de vérité dans la formulation des lois logiques. L’enjeu est central : puisque la « logique poursuit la vérité dans l’arbre de la grammaire » en généralisant sur des phrases exemplifiant la même structure logique au moyen du prédicat de vérité, commettre un contresens sur ce point, c’est se rendre incapable de comprendre adéquatement la relation interne entre logique et vérité. La méthode adoptée consiste à corriger certaines confusions répandues au sujet de la relation entre logique, vérité et montée sémantique.
Bien agir selon Elizabeth Anscombe
Authors: Aucouturier Valérie
Published: July 2024

La « vérité pratique », d’après Anscombe, ne vise pas la simple capacité d’agir mais la capacité de bien agir. C’est, écrit Aristote, « la vérité qui s’accorde avec le juste désir ». Anscombe spécifie : « La vérité pratique est la vérité produite par une bonne délibération menant à une décision et à une action, et cela comprend la vérité de la description “bien faire”. » Il s’agit ici de saisir la portée éthique de ce concept qui ne vise pas simplement la structure délibérative de l’action intentionnelle, mais la détermination de ce qu’est une bonne action, et plus exactement une bonne action humaine  : « La vérité pratique est une vérité créée par l’action au sens où ni les branches, ni les chiens, ni les enfants ne sont capables d’action. »
Évolution des enveloppes psychiques au Rorschach lors de la maternité, à partir de l’étude longitudinale d’un cas en anté et postnatal
Authors: Pointurier Mathilde , Pascal Roman , Mellier Denis , Mottet Nicolas , Belot Rose-Angélique
Published: July 2024

Cet article présente les modifications et remaniements sensibles des enveloppes psychiques et corporelles au cours du « devenir mère » chez une femme primipare. Le Rorschach constitue un outil particulièrement pertinent et fin pour visualiser tous types de modifications psychiques et corporelles lors d’évènements de vie, y compris ceux relatifs à la maternité. Notre étude porte sur des femmes primipares, issues d’une population dite « tout venant », qui effectuent leur première consultation prénatale en maternité. La population est dénuée de risques obstétricaux et sans antécédents avérés de troubles psychiatriques. Les résultats de cette recherche se centrent sur une observation longitudinale de l’épreuve Rorschach présentée à une femme de 30 ans lors des périodes anté et postnatales, en quatre temps distincts. L’observation et l’analyse des réponses au Rorschach de façon longitudinale montrent d’importantes modifications au sein de la vie psychique. La maternité convoque en effet des changements corporels et psychiques de grande ampleur que les résultats de cette étude révèlent à partir d’un cas, de façon approfondie, en appui sur l’analyse détaillée des réponses à certaines planches.
La religion, nouvelle inconnue de l’équation électorale aux États-Unis ?
Authors: Gayte Marie
Published: July 2024

S’il a été démontré dans les années 1980 que l’identité politique n’était plus corrélée à une confession précise, mais qu’elle les traversait, les religieux conservateurs et pratiquants s’identifiant plus au GOP et les fidèles progressistes et culturels aux Démocrates, des analyses ultérieures ont infirmé ce constat pour ce qui est des chrétiens latinos et afro-américains, pour lesquels l’identité ethnique l’emporterait sur le clivage conservateur/progressiste. Dans une Amérique où la part des sans-religion et des chrétiens d’origine non-européenne est en pleine augmentation, ceci semblait annoncer la « majorité démocratique émergente » prédite par les stratèges électoraux. Or, les scrutins de 2016 et 2020 sont venus mettre à mal ce constat, témoignant d’évolutions marginales mais significatives dans un contexte où chaque vote compte. Cet article se propose d’analyser le vote religieux dans la perspective de la présidentielle de 2024 afin de mettre en lumière les forces et les faiblesses de chaque parti.
Éditorial. Les Communs : un éclairage réflexif
Authors: Berrier-Lucas Celine , Arnaud Charlène
Published: July 2024

Cet essai se propose de contribuer à l’appel lancé par Philippe Eynaud, Clément Feger et Corinne Vercher-Chaptal (2024), dans leur article introductif de ce numéro spécial, de considérer les « angles morts » de la recherche contemporaine sur les communs. Nous mobilisons les approches critiques en management afin de mettre en lumière la face sombre des communs, les communs négatifs (Mies & Bennholdt-Thomsen, 2001 ; Monnin, 2021), qui dans le contexte actuel de crises socio-écologiques et d’injustices prolifèrent (Tsing, 2015b). Cette critique prometteuse – et à travers elle, cet essai – constitue ainsi une invite à politiser les communs négatifs comme constitutifs du capitalisme moderne.