bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Gender Identity Field in the Veterans Health Administration Electronic Health Record, 2016‒2023
Authors: Leder Sarah M. , McConnell A. Alex , Lamba Shane , Sonnier Chava , Matza Alexis R. , Meriwether Wyatt E. , Brown George R. , Shipherd Jillian C. , Kauth Michael R. , Jones Kenneth T. 
Published: January 2025

Objectives. To distinguish differences in physical and mental health between transgender and gender-diverse (TGD) veterans identified via diagnostic codes, self-identification, and their combination. Methods. We used sociodemographic characteristics and physical and mental health diagnoses for TGD veterans receiving care in Veterans Health Administration (VHA). Results. Among the cohort of 12 745 TGD veterans, 69.3% were identified solely using self-reported gender identity data, 23.4% were identified using only TGD-related diagnostic codes, and 7.2% had both TGD-related diagnostic codes and gender identity data in their medical record. TGD veterans identified using self-reported gender identity data were younger and more racially and ethnically diverse compared with those identified with only diagnostic codes. Across nearly all independently examined health conditions, TGD veterans identified via self-reported gender identity were at lower risk compared with those identified via diagnostic codes. Conclusions. Inferences drawn from studies of TGD veteran health may be significantly impacted by choice of methodology for defining the TGD veteran cohort. New analyses using self-reported gender identity data, as opposed to diagnostic codes, are critical to understand the health of this population within VHA. ( Am J Public Health. 2025;115(3):403–413. https://doi.org/10.2105/AJPH.2024.307920 )
KONFLIK BATIN TOKOH UTAMA DALAM NOVEL SRI KUNING KARYA R. HARDJOWIROGO (Kajian Psikologi Sastra)
Authors: Ratri Tanti Sekar , Sri Harti Widyastuti  , Mulyana  
Published: January 2025

Penelitian ini bertujuan untuk mendeskripsikan 1) perwatakan tokoh utama Srikuning dan Sudjana dalam novel Sri Kuning karangan R. Hardjowirogo; 2) wujud konflik batin, 3) faktor yang menyebabkan serta 4) cara tokoh mengatasi konfliknya. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan psikologi sastra Sigmund Freud yaitu berhubungan dengan id, ego, dan superego. Teknik pengumpulan data dilakukan dengan studi pustaka dengan membaca secara cermat berulang-ulang. Hasil penelitian yang telah dilakukan adalah 1) watak Srikuning: centil, tegas, bijaksana, dll, watak Sudjana: terampil berkelahi, berhati-hati, jujur dll. 2) wujud konflik batin Srikuning: marah, sedih, pertentangan batin, dll sedangkan Sudjana: marah, sedih, tidak tega dll. 3) Faktor yang menyebabkan konflik batin Srikuning akan dijodohkan dengan Subagja dan Bendara Juru, disakiti oleh Subagja, dll sedangkan Sudjana: mendengar ucapan yang menyakitkan, difitnah oleh Bendara Juru dan Surasentika dll. 4) Cara Srikuning mengatasi konflik dengan agresi langsung, pengalihan dan rasionalisasi, sedangkan Sudjana mengatasinya dengan regresi dan rasionalisasi.
Pro-cognitive restoration of experience-dependent parvalbumin inhibitory neuron plasticity in neurodevelopmental disorders
Authors: Sahay Amar , Shih Yu-Tzu , Alipio Jason , Klaft Zin-Juan , Green Nathaniel , Wong Lai Ping , Sadreyev Ruslan , Hyun Jung Ho , Dulla Chris 
Published: January 2025

Abstract

The hippocampus forms memories of our experiences by registering processed sensory information in coactive populations of excitatory principal cells or ensembles. Fast-spiking parvalbumin-expressing inhibitory neurons (PV INs) in the dentate gyrus (DG)-CA3/CA2 circuit contribute to memory encoding by exerting precise temporal control of excitatory principal cell activity through mossy fiber-dependent feed-forward inhibition. PV INs respond to input-specific information by coordinating changes in their intrinsic excitability, input-output synaptic-connectivity, synaptic-physiology and synaptic-plasticity, referred to here as experience-dependent PV IN plasticity, to influence hippocampal functions. PV IN impairments in early life, when neural circuitry is highly sensitive to experience-dependent refinement, are thought to result in imbalanced excitation and inhibition, impaired cognition, network hyperexcitability and seizures: hallmarks of neurodevelopmental disorders (NDDs) such as Autism Spectrum Disorder and epilepsy. Discovery of transcriptional regulators of experience-dependent PV IN plasticity in the adult hippocampus may permit reversal of these developmental impairments. Here, in a screen designed to capture the PV IN intrinsic program induced by increased mossy fiber inputs, a trigger for experience-dependent PV IN plasticity, we identify the homeobox gene Meis2 as a regulator of experience-dependent PV IN plasticity gene (XPG) in the adult DG-CA3/CA2 circuit. We found that a significant number of upregulated XPGs also exhibit haploinsufficiency in ASDs, epilepsies, and schizophrenia. We demonstrate that virally-mediated rescue of experience-dependent Meis2 upregulation in CA3/CA2 PV INs in a NDD risk mouse model in adulthood is sufficient to restore experience-dependent PV IN plasticity, spatial and social memory, ensemble specificity, suppression of network hyperexcitability and seizures. Together, these findings suggest that experience-dependent PV IN plasticity is a convergent mechanism for NDD risk genes that can be re-instated in adulthood to reverse developmental deficits in circuitry, network excitability and cognition.
Survival Rate Prediction in glioblastoma Patients Using Machine learning
Authors: Hachimy Ichraq El , ELallid Badr Ben , Hontecillas-Prieto Lourdes , Benamar Nabil , Hajji Nabil 
Published: January 2025

Abstract

Glioblastoma, an aggressive form of brain cancer, continues to pose significant challenges, with median survival rates ranging from 12 to 18 months despite ongoing advances in treatment. Traditional survival prediction models predominantly rely on non-omic data, such as MRI, PET, and CT scans, which often lack the granularity to uncover molecular biomarkers crucial for guiding personalized therapeutic strategies. In this study, we introduce a novel methodology focused solely on omic data for survival prediction in glioblastoma patients. Our approach integrates genomic features, including G-CIMP methylation, gene expression subtypes, and IDH1 mutation. Utilizing a robust dataset comprising 577 patient records and 22 features, we implement a deep learning model based on Transformer architecture. The model incorporates positional encoding to capture complex temporal relationships in survival data and leverages the Cox proportional hazards framework for survival analysis.
Our results demonstrate a high concordance index (C-index) of 87% and an integrated Brier score (IBS) of 0.05 that further
validates the model’s predictive accuracy. We highlight the influence of critical genomic features on survival predictions. This approach represents a significant advancement in leveraging omic data and modern machine learning techniques to enhance the accuracy and reliability of glioblastoma prognosis, offering promising implications for personalized treatment strategies and improved patient outcomes.
Performance analysis of Coded Orthogonal Time Sequency Multiplexing Modulation
Authors: Nishanthi G. , Author) G. Ananthi(Corresponding 
Published: January 2025

Abstract

This paper analyzes the performance of Coded OTSM, particularly its error rate compared to standard OTSM modulation. OTSMM leverages time division and Walsh Hadamard multiplexing to efficiently transmit information symbols in high-mobility wireless systems. By integrating LDPC codes within OTSM, error detection and correction are enhanced, leading to improved error correction capabilities. The results demonstrate that Coded OTSM achieves a significantly lower bit error rate, outperforming traditional OTSM modulation.
Low-RCS Broadband Miniaturized Polarization Conversion Metasurface Array Antenna Based on Capacitive Loading Technology
Authors: Sun JianDong , Guo Meng , Zou Yiyan 
Published: January 2025

Abstract

This paper introduces a capacitive loading method used to design a polarization conversion metasurface(PCMS) array antenna. This method addresses the compatibility challenges of traditional low-RCS antennas concerning broadband circular polarization radiation, broadband scattering suppression, and aperture miniaturization. The core of the capacitive loading technique is the double-layer patch structure of the PCMS. First, the patches are designed with corner-cutting, which simultaneously excites two orthogonally polarized degenerate modes. This improves the circular polarization purity of the array elements and broadens the axial ratio bandwidth of the array antenna. Additionally, the patches feature cross-shaped slots, and the double-layer patches are interconnected by vertical metal pillars. This configuration increases grid capacitance and introduces parallel capacitance, which lowers the resonant frequency of the metasurface (MTS) radiator, thereby achieving miniaturization. It is noteworthy that this method has minimal impact on the reflection characteristics of the PCMS. Consequently, the radiator of the PCMS array antenna adopts a chessboard layout. The 180° phase difference between the PCMS and the grounded substrate is utilized for phase cancellation, resulting in broadband RCS reduction. The array size of the PCMS array antenna using the capacitive loading method is 3×3. The simulated and measured results are consistent, indicating that the antenna aperture size is only 1.33λ0 × 1.33λ0 × 0.0984λ0, with a working bandwidth of 40.91%. Furthermore, the RCS reduction bandwidth spans the C, X, and Ku bands.
Probabilistic Seismic Hazard Assessment (Psha) for the Territory of Uzbekistan
Authors: Jumaev Doston 
Published: January 2025

Abstract

The research aims to contribute to the development of a more accurate and reliable local seismic hazard map that aligns with international standards. The assessment follows the probabilistic approach to evaluate ground motion levels at various observation sites within a study region, focusing on the probability of exceeding specific intensities over a given period (50 years). The process assumes each seismic source is independent and that earthquake occurrences follow a Poisson process. Each source is characterized by its geometric properties (size, location, orientation) and its temporal occurrence behavior (e.g., maximum magnitude, Gutenberg-Richter parameters). Geometric properties are derived from earthquake records, geological and tectonic data while temporal behaviors are calibrated from past seismicity using a comprehensive earthquake catalog. The maximum acceleration value across the map for the design return period, approximately 0.5g, was observed in the Gazli area, which is significantly higher than previous results. The maximum difference between the two alternative methods (classical integration and simulation-based) for the design return period was about 0.05g. The effect of the GMPEs (Ground Motion Prediction Equations) on the results is substantial, showing up to a 0.1g difference when they are changed. It is the first time that the seismic hazard for the region has been evaluated using a finer discretization of 5 km and employing various methodologies, including classical-integration and simulation-based approaches. Limited alternative version of models are used and therefore, the usage of the several alternative models and GMPEs would be beneficial to reduce epistemic uncertainty.
Takagi Sugeno Kang Fuzzy Elliptic Type-2 CMAC Using Improved Particle Swarm Optimization for Nonlinear Systems
Authors: Huynh Tuan-Tu 
Published: January 2025

Abstract

This study aims to develop a new efficient neural network called Takagi Sugeno Kang fuzzy elliptic type-2 cerebellar model articulation controller (TSKFET2C) using improved particle swarm optimization for nonlinear systems. For identification and prediction problems, the TSKFET2C is used as the main identifier and the main predictor, respectively. The learning laws for the system parameters are established for all rules of the proposed structure based on the gradient descent algorithm and the minimization of the cost function. For the control problem, the TSKFET2C is used as the main controller and an auxiliary controller is used to eliminate the residual error. The stability of the control system is guaranteed by Lyapunov theory. Moreover, an improved particle swarm optimization is employed to achieve optimal learning rates for updating the parameters of the TSKFET2C. Finally, the proposed TSKFET2C is applied to three types of nonlinear systems to illustrate its performance and effectiveness.
Didactical Design Based on Sharing and Jumping Tasks on Reaction Rate Law
Authors: Sazaliana Ade , Hendayana Sumar , Supriatna Asep , Nofri Yuhelman  
Published: January 2025

In improving the quality of learning, it is necessary to develop a learning design that can facilitate the characteristics of students. The didactical design can facilitate the characteristics of students through sharing and jumping tasks. Sharing task is used to facilitate slow learner while jumping task is used to facilitate fast learner. Jumping task is not only beneficial for students with high academic ability, but also provides benefits for students with low academic ability. The purpose of this study is to develop the didactical design based on sharing and jumping tasks to enhance learning quality on the topic of reaction rate low. The research method used is didactical design research (DDR). Didactical design consisted of three steps i.e. (a) analysis of didactical situation before learning (prospective), (b) analysis of didactical situation during learning (metapedadidactical), and (c) analysis of didactical situation after learning (retrospective). The data was collected by test, observation, interview, documentation and recording (audio and video). The result showed that the didactical design on the topic of reaction was valid
Methane production from anaerobic pre-treatment of municipal wastewater combined with olive mill wastewater: A demonstration study
Authors: Baransi-Karkaby Katie , Hassanin Mahdi , Raanan-Kiperwas Hadas , Massalha Nedal , Sabbah Isam 
Published: January 2025

ABSTRACT

The advanced anaerobic technology (AAT), developed based on an immobilized high-rate anaerobic reactor, was applied as a pretreatment of municipal wastewater (WW) at Karmiel's treatment plant in Israel. The demonstration-scale AAT (21 m3) system was operated at a flow rate of 100 m3day−1 municipal WW mixed with olive mill wastewater (OMW) (0.5 m3day−1) to simulate the scenario of illegal discharge of agro-industrial WW. The AAT provided a stable performance. Specifically, AAT enabled treating high organic loads (9.3 kg m−3day−1) resulting from OMW discharge by shaving the high peaks of organic content and protecting the subsequent activated sludge process. This system enabled the recovery of a significant part of the organic load by anaerobic biodegradation to produce biogas, shown to be highly dependent on temperature and partly on the organic loading rate. The outcomes indicate that the AAT could tolerate an addition of up to 0.5% OMW to municipal WW by removing more than 50% of the total chemical oxygen demand and 18–47% of polyphenols. This work shows that the AAT system has the potential of pretreating municipal WW, increasing the energy efficiency of the plant, and protecting small-medium WWTPs from sudden agro-industrial discharges.
A Hydrogel for Nitric Oxide Sensitization Chemotherapy Mediated by Tumor
Microenvironment Changes in 3D Spheroids and Breast Tumor Models
Authors: Du Yang , Ouyang Boshu , Liu Yao , Yin Yuzhen , Wu Yining , Guo Huishu 
Published: January 2025

Background:
Nitric oxide (NO) is a low-toxicity and high-efficiency anticancer treatment that can
augment the cytotoxicity of doxorubicin (DOX) towards breast cancer cells, thereby exhibiting a favorable effect
on chemotherapy sensitization.

Objective:
The study aimed to establish a hydrogel that sensitizes chemotherapy by inducing local inflammatory
stimulation to change the tumor microenvironment and promote NO production. The purpose of the study
was to examine the anti-tumor effect in vivo and in vitro.

Methods:
The functional properties of the composite hydrogels were tested by UV spectrophotometry and NO
detection kit. CCK8, DCFH-DA fluorescent probe, Calcein-AM/PI detection kit, and confocal detection methods
were used for the cytocompatibility and cytotoxicity of the composite hydrogels. The subcutaneous tumor
volume, weight, and tumor inhibition rate of 4T1 breast cancer cells were evaluated for pharmacodynamic
study in vivo.

Results:
Each component of hydrogel has good biocompatibility. The combination of gas therapy and chemotherapy
can significantly enhance the effect of inhibiting tumor cell growth. The tumor growth of tumor-
bearing mice in the hydrogel administration group was slow, and the tumor inhibition rate was 85.10%.
The body weight grew steadily, and no significant pathological changes were observed in the H&E staining of
major organs.

Conclusion:
A composite hydrogel with alginate as the carrier was successfully established, which was based
on improving the tumor microenvironment to trigger gas therapy combined with chemotherapy for tumor treatment.
Kekuatan Nilai untuk Melestarikan Biosper: Menguji Peranan Orientasi Nilai Terhadap Perilaku Berkelanjutan
Authors: Trihapsari Tunjung , Shadiqi Muhammad Abdan , Achmad Rendy Alfiannoor 
Published: January 2025

Beragam fenomena degradasi lingkungan, membuat manusia perlu bertindak segera untuk menerapkan perilaku serta gaya hidup yang lebih berkelanjutan. Berdasarkan masalah tersebut, penelitian ini bertujuan untuk mengetahui peranan orientasi nilai terhadap perilaku berkelanjutan pada mahasiswa Teknik Lingkungan Universitas Mangkurat. Metode penelitian yang digunakan adalah metode kuantitatif, dengan jumlah partisipan sebanyak 125 mahasiswa Teknik Lingkungan yang minimal telah berkuliah pada tahun kedua (angkatan 2021, 2020, 2019). Penentuan partisipan dilakukan menggunakan teknik simple random sampling. Instrumen pengukuran yang digunakan adalah adaptasi skala Sustainabel Behavior dan skala Environmental Potrait Value Questioner (EPVQ). Data dianalisis menggunakan regresi linear berganda melalui software IBM SPSS. Hasil pengujian hipotesis menunjukkan bahwa dari empat dimensi orientasi nilai, hanya dimensi nilai biosperik yang berperanan signifikan terhadap perilaku berkelanjutan, sementara dimensi altruistik, hedonis dan egoistik tidak memiliki peranan terhadap perilaku berkelanjutan. Namun secara bersamaan, seluruh dimensi nilai didapatkan berperan terhadap perilaku berkelanjutan dan koefisien determinasi menunjukkan orientasi nilai memiliki peranan sebesar 27,3% terhadap perilaku berkelanjutan, sedangkan sisanya dipengaruhi oleh faktor lainnya.
MODELO SOCIAL, INTERSETORIALIDADE E O PROJETO SAÚDE MENTAL É MAIS LEGAL
Authors: Rogar Erica , Júnior Sebastião Felix Pereira , Scharfstein Renata , Senra Carolina Maria Gurgel , Junior Octavio Domont de Serpa 
Published: January 2025

Este trabalho está ancorado nas normas constitucionais e legais, de Direitos Humanos, que fazem a transição do modelo médico para o modelo biopsicossocial, no que diz respeito ao cuidado relativo às pessoas que apresentam transtorno mental gravee persistente, somado a dificuldades perante as barreiras sociais, o que desemboca no reconhecimento da deficiência mental. Neste contexto, há uma releitura da proteção, na direção da promoção da autonomia, e não da exclusão social. Além disso, é explorada aarticulação intersetorial, entre os operadores do Direito e os trabalhadores da Saúde Mental, com o objetivo de fomentar uma atuação mais qualificada e consistente em favor dos usuários dos serviços de Saúde Mental. Nessa linha, a Rede de AtençãoPsicossocial (RAPS) precisa ter conhecimento de que o Ministério Público (MP) é um órgão que promove acesso à Justiça para a adequação de medidas que investem na emancipação do sujeito. São elas: a Tomada de Decisão Apoiada, a Prestação deContas, a Remoção de Curador, a Ação de Alimentos e a Ação de Anulação de Empréstimos Consignados, tudo no lugar da Curatela, ainda existente no ordenamento jurídico brasileiro, mas que deve ser adotada de maneira excepcional. O propósito é deque o Sistema de Justiça trabalhe de maneira mais apropriada, em conformidade com os princípios e valores lançados pela Convenção sobre os Direitos das Pessoas com Deficiência (Convenção), concretizados pela Lei Brasileira de Inclusão (LBI), e nos jácolocados pela Lei de Reforma Psiquiátrica. O Projeto ‘Saúde Mental é Mais Legal’, do Ministério Público do Rio de Janeiro (MPRJ), se justifica a partir dessa necessária interlocução dos Promotores com a área da Saúde (RAPS) e da Assistência Social(Sistema Único de Assistência Social - SUAS), na solução de casos complexos na área da Saúde Mental. O debate visa verificar se o usuário conta com suporte familiar ou rede de apoio; se ele está referenciado na RAPS e no SUAS; e se precisa de algumamedida jurídica ou não. Como benefício do Projeto, ele intenta dar o suporte necessário ao autogoverno das pessoas com transtornos mentais. Além disso, permite apurar o regular funcionamento dos serviços de Saúde e de Assistência Social. O Projeto foielaborado com base em experiências concretas, na atuação em uma Promotoria de Justiça Cível e de Família de um foro regional da Capital do Rio de Janeiro. No ano de 2023, o Projeto foi contemplado com a menção honrosa no Prêmio Innovare, Categoria Ministério Público.